MACD Cloud with Moving Average and ATR BandsThe algorithm implements a technical analysis indicator that combines the MACD Cloud, Moving Averages (MA), and volatility bands (ATR) to provide signals on market trends and potential reversal points. It is divided into several sections:
🎨 Color Bars:
Activated based on user input.
Controls bar color display according to price relative to ATR levels and moving average (MA).
Logic:
⚫ Black: Potential bearish reversal (price above the upper ATR band).
🔵 Blue: Potential bullish reversal (price below the lower ATR band).
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🟢 Green: Bullish trend (price between the MA and upper ATR band).
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🔴 Red: Bearish trend (price between the lower ATR band and MA).
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📊 MACD Bars:
Description:
The MACD Bars section is activated by default and can be modified based on user input.
🔴 Red: Indicates a bearish trend, shown when the MACD line is below the Signal line (Signal line is a moving average of MACD).
🔵 Blue: Indicates a bullish trend, shown when the MACD line is above the Signal line.
Matching colors between MACD Bars and MACD Cloud visually confirms trend direction.
MACD Cloud Logic: The MACD Cloud is based on Moving Average Convergence Divergence (MACD), a momentum indicator showing the relationship between two moving averages of price.
MACD and Signal Lines: The cloud visualizes the MACD line relative to the Signal line. If the MACD line is above the Signal line, it indicates a potential bullish trend, while below it suggests a potential bearish trend.
☁️ MA Cloud:
The MA Cloud uses three moving averages to analyze price direction:
Moving Average Relationship: Three MAs of different periods are plotted. The cloud turns green when the shorter MA is above the longer MA, indicating an uptrend, and red when below, suggesting a downtrend.
Trend Visualization: This graphical representation shows the trend direction.
📉 ATR Bands:
The ATR bands calculate overbought and oversold limits using a weighted moving average (WMA) and ATR.
Center (matr): Shows general trend; prices above suggest an uptrend, while below indicate a downtrend.
Up ATR 1: Marks the first overbought level, suggesting a potential bearish reversal if the price moves above this band.
Down ATR 1: Marks the first oversold level, suggesting a possible bullish reversal if the price moves below this band.
Up ATR 2: Extends the overbought range to an extreme, reinforcing the possibility of a bearish reversal at this level.
Down ATR 2: Extends the oversold range to an extreme, indicating a stronger bullish reversal possibility if price reaches here.
Español:
El algoritmo implementa un indicador de análisis técnico que combina la nube MACD, promedios móviles (MA) y bandas de volatilidad (ATR) para proporcionar señales sobre tendencias del mercado y posibles puntos de reversión. Se divide en varias secciones:
🎨 Barras de Color:
- Activado según la entrada del usuario.
- Controla la visualización del color de las barras según el precio en relación con los niveles de ATR y el promedio móvil (MA).
- **Lógica:**
- ⚫ **Negro**: Reversión bajista potencial (precio por encima de la banda superior ATR).
- 🔵 **Azul**: Reversión alcista potencial (precio por debajo de la banda inferior ATR).
- 🟢 **Verde**: Tendencia alcista (precio entre el MA y la banda superior ATR).
- 🔴 **Rojo**: Tendencia bajista (precio entre la banda inferior ATR y el MA).
### 📊 Barras MACD:
- **Descripción**:
- La sección de barras MACD se activa por defecto y puede modificarse según la entrada del usuario.
- 🔴 **Rojo**: Indica una tendencia bajista, cuando la línea MACD está por debajo de la línea de señal (la línea de señal es una media móvil de la MACD).
- 🔵 **Azul**: Indica una tendencia alcista, cuando la línea MACD está por encima de la línea de señal.
- La coincidencia de colores entre las barras MACD y la nube MACD confirma visualmente la dirección de la tendencia.
### 🌥️ Nube MACD:
- **Lógica de la Nube MACD**: Basada en el indicador de convergencia-divergencia de medias móviles (MACD), que muestra la relación entre dos medias móviles del precio.
- **Líneas MACD y de Señal**: La nube visualiza la relación entre la línea MACD y la línea de señal. Si la línea MACD está por encima de la de señal, indica una tendencia alcista potencial; si está por debajo, sugiere una tendencia bajista.
### ☁️ Nube MA:
- **Relación entre Medias Móviles**: Se trazan tres medias móviles de diferentes períodos. La nube se vuelve verde cuando la media más corta está por encima de la más larga, indicando una tendencia alcista, y roja cuando está por debajo, sugiriendo una tendencia bajista.
- **Visualización de Tendencias**: Proporciona una representación gráfica de la dirección de la tendencia.
### 📉 Bandas ATR:
- Las bandas ATR calculan límites de sobrecompra y sobreventa usando una media ponderada y el ATR.
- **Centro (matr)**: Muestra la tendencia general; precios por encima indican tendencia alcista y debajo, bajista.
- **Up ATR 1**: Marca el primer nivel de sobrecompra, sugiriendo una reversión bajista potencial si el precio sube por encima de esta banda.
- **Down ATR 1**: Marca el primer nivel de sobreventa, sugiriendo una reversión alcista potencial si el precio baja por debajo de esta banda.
- **Up ATR 2**: Amplía el rango de sobrecompra a un nivel extremo, reforzando la posibilidad de reversión bajista.
- **Down ATR 2**: Extiende el rango de sobreventa a un nivel extremo, sugiriendo una reversión alcista más fuerte si el precio alcanza esta banda.
ค้นหาในสคริปต์สำหรับ "algo"
Super Scalping SystemChart/Grafik: XU100.USD
Time/Zaman: 15 Minute/15 Dakika
English Explanation (Türkçe açıklaması aşağıda)
Overview:
The "Super Scalping System" is a lightweight trend-following indicator designed to assist traders in detecting short-term trend reversals and market conditions. The indicator draws a dynamic trendline and changes the color of the candlesticks according to the calculated trend. It is built to enhance quick decision-making for scalpers operating on low timeframes.
Key Features:
Instantaneous Trendline Calculation
The trendline is calculated using a weighted average of the last four bars, giving more importance to the most recent bar. This smoothens the trend and helps scalpers identify trend changes quickly.
Candle Coloring
The indicator colors the bars green or red based on whether the trendline is above or below the zero line.
Zero Line Reference
A zero line is included as a visual reference, indicating when the trendline crosses into positive or negative territory.
Indicator Settings
The indicator will be displayed directly on the main price chart.
Alarm Setup on Zero Line Crossings
Users can set an alarm when the trendline crosses the zero line to receive notifications for potential trend changes.
*/-/-/* Moving the Indicator to a New Pane */-/-/*
To move the indicator to a separate panel, click on the three dots next to the indicator name at the top left of the screen. Then, select “Move to” and click “New Pane Below” from the dropdown menu. This step is crucial for better chart management and visibility.
User Input (Length):
A Length input is provided, where the minimum allowed value is 4 bars to ensure meaningful calculations.
Price Calculation (OHLC4):
The average price, known as OHLC4, is used to smooth out volatility by averaging the open, high, low, and close prices.
Super Scalping System Calculation:
The trendline dynamically adjusts based on recent price movements, giving greater emphasis to the latest data to reflect market conditions accurately. A sophisticated smoothing technique is applied to filter out noise and enhance trend detection. This process ensures a responsive trendline that helps traders quickly identify potential market shifts. The final value is derived from a proprietary formula optimized for short-term scalping strategies.
Plotting the Trendline:
The trendline is plotted. If the value is above the zero line, it appears green; otherwise, it turns red.
Candle Coloring:
The candles are colored green during an uptrend and red during a downtrend to provide visual clarity to users.
Zero Line Plot:
A white zero line is plotted for reference to easily identify the trendline's position.
How to Use the Indicator:
Uptrend Signal:
When the trendline crosses above the zero line and turns green, it indicates a potential upward trend. Traders may consider buying in this scenario.
Downtrend Signal:
When the trendline crosses below the zero line and turns red, it indicates a potential downward trend. Traders may consider selling in this case.
Scalping Strategy Tips:
Best suited for low-timeframe charts (1-minute or 5-minute).
Use in conjunction with other indicators (like RSI or MACD) for better accuracy.
Be cautious in choppy markets, as scalping involves quick trend reversals.
Important Disclaimer:
No indicator, algorithm, or strategy can predict the markets with 100% accuracy. This tool is designed to help make informed decisions but should not be used as the sole basis for trading. Always consider using additional analysis and risk management strategies. Blind reliance on any tool can lead to significant financial losses.
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Türkçe Açıklama
Genel Bakış:
"Super Scalping System", kısa vadeli trend dönüşlerini ve piyasa koşullarını tespit etmek için tasarlanmış hafif bir trend takip göstergesidir. Gösterge, dinamik bir trend çizgisi çizer ve mumları hesaplanan trende göre renklendirir. Özellikle düşük zaman dilimlerinde işlem yapan scalping yatırımcılarının hızlı karar vermesine yardımcı olmak için geliştirilmiştir.
Temel Özellikler:
Anlık Trend Çizgisi Hesaplaması
Trend çizgisi, son dört mumun ağırlıklı ortalaması kullanılarak hesaplanır. Son mumlara daha fazla önem verilerek trendin daha yumuşak görünmesi sağlanır.
Mumların Renklendirilmesi
Gösterge, mumları trend çizgisinin sıfır çizgisinin üstünde veya altında olmasına göre yeşil veya kırmızıya boyar.
Sıfır Çizgisi Referansı
Trend çizgisinin pozitif veya negatif bölgeye geçtiğini görsel olarak anlamak için bir sıfır çizgisi eklenmiştir.
Gösterge Ayarları:
Gösterge ana fiyat grafiği üzerine eklenir.
Sıfır Çizgisi Kesişmelerine Alarm Kurulumu:
Trend çizgisi sıfır çizgisini kestiğinde alarm kurarak olası trend değişimlerinden haberdar olabilirsiniz.
*/-/-/* Göstergeyi Yeni Bir Panoya Taşımak */-/-/*
Göstergeyi ayrı bir panele taşımak için, ekranın sol üst köşesindeki gösterge adının yanında bulunan üç noktaya tıklayın. Ardından, “Taşı” seçeneğine tıklayıp açılan menüden “Aşağıda Yeni Pano” seçeneğini seçin. Bu adım, grafik yönetimini ve görünürlüğü iyileştirmek için oldukça önemlidir.
Kullanıcı Girdisi (Length):
Length girdisi, en az 4 mum olacak şekilde ayarlanmıştır.
Fiyat Hesaplama (OHLC4):
Açılış, en yüksek, en düşük ve kapanış fiyatlarının ortalaması alınarak volatilite azaltılır.
Super Scalping System Hesaplaması:
Trend çizgisi, son fiyat hareketlerine dayalı olarak dinamik şekilde ayarlanır ve piyasa koşullarını doğru yansıtmak için en güncel verilere daha fazla ağırlık verir. Gürültüyü filtrelemek ve trend tespitini iyileştirmek için gelişmiş bir düzeltme tekniği uygulanır. Bu süreç, hızlı piyasa değişimlerini yakalamaya yönelik duyarlı bir trend çizgisi sağlar. Son değer, kısa vadeli scalping stratejileri için optimize edilmiş özel bir formülden elde edilir.
Trend Çizgisinin Çizimi:
Trend çizgisi sıfır çizgisinin üstündeyse yeşil, altındaysa kırmızı olarak çizilir.
Mum Renklendirmesi:
Yukarı trendde mumlar yeşil, aşağı trendde kırmızı renkte gösterilir.
Sıfır Çizgisi:
Sıfır çizgisi, trend çizgisinin pozisyonunu görmek için beyaz renkte çizilir.
Gösterge Nasıl Kullanılır:
Yükseliş Trendi Sinyali:
Trend çizgisi sıfır çizgisinin üzerine çıkıp yeşile döndüğünde, olası bir yükseliş trendi sinyali verir. Bu durumda alış yapmayı düşünebilirsiniz.
Düşüş Trendi Sinyali:
Trend çizgisi sıfır çizgisinin altına indiğinde ve kırmızıya döndüğünde, olası bir düşüş trendi sinyali verir. Bu durumda satış yapabilirsiniz.
Scalping Stratejisi İpuçları:
1 veya 5 dakikalık grafiklerde daha etkilidir.
Daha yüksek doğruluk için RSI veya MACD gibi diğer göstergelerle kullanın.
Dalgalı piyasalarda dikkatli olun, scalping hızlı trend dönüşleri gerektirir.
Önemli Uyarı:
Hiçbir gösterge, algoritma veya strateji piyasaları %100 doğrulukla tahmin edemez. Bu araç, bilinçli kararlar vermenize yardımcı olmak için tasarlanmıştır, ancak yalnızca ticaret için tek temel olarak kullanılmamalıdır. Daima ek analizler ve risk yönetimi stratejileri kullanmayı düşünün. Herhangi bir araca körü körüne bağlı kalmak, önemli finansal kayıplara yol açabilir.
Third-order moment by TonymontanovThe "Third-order moment" indicator is designed to help traders identify asymmetries and potential turning points in a financial instrument's price distribution over a specified period. By calculating the skewness of the price distribution, this indicator provides insights into the potential future movement direction of the market.
User Parameters:
- Length: This parameter defines the number of bars (or periods) used to compute the mean and third-order moment. A longer length provides a broader historical context, which may smooth out short-term volatility.
- Source: The data input for calculations, defaulting to the closing price of each bar, although users can select alternatives like open, high, low, or any custom value to suit their analysis preferences.
Operational Algorithm:
1. Mean Calculation:
- The indicator begins by calculating the arithmetic mean of the selected data source over the specified period.
2. Third-order Moment Calculation:
- A deviation from the mean is calculated for each data point. These deviations are then cubed to capture any asymmetry in the price distribution.
- The third-order moment is determined by summing these cubed deviations over the specified length and dividing by the number of periods, providing a measure of skewness.
3. Graphical Representation:
- The indicator plots the third-order moment as a column plot. The color of the columns changes based on the sign of the moment: green for positive and red for negative, suggesting bullish and bearish skewness, respectively.
- A zero line is included to help visualize transitions between positive and negative skewness clearly.
- Additionally, the background color shifts depending on whether the third-order moment is above or below zero, further highlighting the prevailing market sentiment.
The "Third-order moment" indicator is a valuable tool for traders looking to gauge the market's skewness, helping identify potential trend continuations or reversals. By understanding the dominance of positive or negative skewness, traders can make more informed decisions.
Asymmetric volatilityThe "Asymmetric Volatility" indicator is designed to visualize the differences in volatility between upward and downward price movements of a selected instrument. It operates on the principle of analyzing price movements over a specified time period, with particular focus on the symmetrical evaluation of both price rises and falls.
User Parameters:
- Length: This parameter specifies the number of bars (candles) used to calculate the average volatility. The larger the value, the longer the time period, and the smoother the volatility data will be.
- Source: This represents the input data for the indicator calculations. By default, the close value of each bar is used, but the user can choose another data source (such as open, high, low, or any custom value).
Operational Algorithm:
1. Movement Calculation:
- UpMoves: Computed as the positive difference between the current bar value and the previous bar value, if it is greater than zero.
- DownMoves: Computed as the positive difference between the previous bar value and the current bar value, if it is greater than zero.
2. Volatility Calculation:
- UpVolatility: This is the arithmetic mean of the UpMoves values over the specified period.
- DownVolatility: This is the arithmetic mean of the DownMoves values over the specified period.
3. Graphical Representation:
- The indicator displays two plots: upward and downward volatility, represented by green and red lines, respectively.
- The background color changes based on which volatility is dominant: a green background indicates that upward volatility prevails, while a red background indicates downward volatility.
The indicator allows traders to quickly assess in which direction the market is more volatile at the moment, which can be useful for making trading decisions and evaluating the current market situation.
VATICAN BANK CARTELVATICAN BANK CARTEL - Precision Signal Detection for Buyers.
The VATICAN BANK CARTEL indicator is a highly sophisticated tool designed specifically for buyers, helping them identify key market trends and generate actionable buy signals. Utilizing advanced algorithms, this indicator employs a multi-variable detection mechanism that dynamically adapts to price movements, offering real-time insights to assist in executing profitable buy trades. This indicator is optimized solely for identifying buying opportunities, ensuring that traders are equipped to make well-timed entries and exits, without signals for shorting or selling.
The recommended settings for VATICAN BANK CARTEL indicator is as follows:-
Depth Engine = 20,30,40,50,100.
Deviation Engine = 3,5,7,15,20.
Backstep Engine = 15,17,20,25.
NOTE:- But you can also use this indicator as per your setting, whichever setting gives you best results use that setting.
Key Features:
1.Adaptive Depth, Deviation, and Backstep Inputs:
The core of this indicator is its customizable Depth Engine, Deviation Engine, and Backstep Engine parameters. These inputs allow traders to adjust the sensitivity of the trend detection algorithm based on specific market conditions:
Depth: Defines how deep the indicator scans historical price data for potential trend reversals.
Deviation: Determines the minimum required price fluctuation to confirm a market movement.
Backstep: Sets the retracement level to filter false signals and maintain the accuracy of trend detection.
2. Visual Signal Representation:
The VATICAN BANK CARTEL plots highly visible labels on the chart to mark trend reversals. These labels are customizable in terms of size and transparency, ensuring clarity in various chart environments. Traders can quickly spot buying opportunities with green labels and potential square-off points with red labels, focusing exclusively on buy-side signals.
3.Real-Time Alerts:
The indicator is equipped with real-time alert conditions to notify traders of significant buy or square-off buy signals. These alerts, which are triggered based on the indicator’s internal signal logic, ensure that traders never miss a critical market movement on the buy side.
4.Custom Label Size and Transparency:
To enhance visual flexibility, the indicator allows the user to adjust label size (from small to large) and transparency levels. This feature provides a clean, adaptable view suited for different charting styles and timeframes.
How It Works:
The VATICAN BANK CARTEL analyzes the price action using a sophisticated algorithm that considers historical low and high points, dynamically detecting directional changes. When a change in market direction is detected, the indicator plots a label at the key reversal points, helping traders confirm potential entry points:
- Buy Signal (Green): Indicates potential buying opportunities based on a trend reversal.
- Square-Off Buy Signal (Red): Marks the exit point for open buy positions, allowing traders to take profits or protect capital from potential market reversals.
Note: This indicator is exclusively designed to provide signals for buyers. It does not generate sell or short signals, making it ideal for traders focused solely on identifying optimal buying opportunities in the market.
Customizable Parameters:
- Depth Engine: Fine-tunes the historical data analysis for signal generation.
- Deviation Engine: Adjusts the minimum price change required for detecting trends.
- Backstep Engine: Controls the indicator's sensitivity to retracements, minimizing false signals.
- Labels Transparency: Adjusts the opacity of the labels, ensuring they integrate seamlessly into any chart layout.
- Buy and Sell Colors: Customizable color options for buy and square-off buy labels to match your preferred color scheme.
- Label Size: Select between five different label sizes for optimal chart visibility.
Ideal For:
This indicator is ideal for both beginner and experienced traders looking to enhance their buying strategy with a highly reliable, visual, and alert-driven tool. The VATICAN BANK CARTEL adapts to various timeframes, making it suitable for day traders, swing traders, and long-term investors alike—focused exclusively on buying opportunities.
Benefits and Applications:
1.Intraday Trading: The VATICAN BANK CARTEL indicator is particularly well-suited for intraday trading, as it provides accurate and timely "buy" and "square-off buy" signals based on the current market dynamics.
2.Trend-following Strategies: Traders who employ trend-following strategies can leverage the indicator's ability to identify the overall market direction, allowing them to align their trades with the dominant trend.
3.Swing Trading: The dynamic price tracking and signal generation capabilities of the indicator can be beneficial for swing traders, who aim to capture medium-term price movements.
Security Measures:
1. The code includes a security notice at the beginning, indicating that it is subject to the Mozilla Public License 2.0, which is a reputable open-source license.
2. The code does not appear to contain any obvious security vulnerabilities or malicious content that could compromise user data or accounts.
NOTE:- This indicator is provided under the Mozilla Public License 2.0 and is subject to its terms and conditions.
Disclaimer: The usage of VATICAN BANK CARTEL indicator might or might not contribute to your trading capital(money) profits and losses and the author is not responsible for the same.
IMPORTANT NOTICE:
While the indicator aims to provide reliable "buy" and "square-off buy" signals, it is crucial to understand that the market can be influenced by unpredictable events, such as natural disasters, political unrest, changes in monetary policies, or economic crises. These unforeseen situations may occasionally lead to false signals generated by the VATICAN BANK CARTEL indicator.
Users should exercise caution and diligence when relying on the indicator's signals, as the market's behavior can be unpredictable, and external factors may impact the accuracy of the signals. It is recommended to thoroughly backtest the indicator's performance in various market conditions and to use it as one of the many tools in a comprehensive trading strategy, rather than solely relying on its output.
Ultimately, the success of the VATICAN BANK CARTEL indicator will depend on the user's ability to adapt it to their specific trading style, market conditions, and risk management approach. Continuous monitoring, analysis, and adjustment of the indicator's settings may be necessary to maintain its effectiveness in the ever-evolving financial markets.
DEVELOPER:- yashgode9
PineScript:- version:- 5
This indicator aims to enhance trading decision-making by combining DEPTH, DEVIATION, BACKSTEP with custom signal generation, offering a comprehensive tool for traders seeking clear "buy" and "square-off buy" signals on the TradingView platform.
Stationarity Test: Dickey-Fuller & KPSS [Pinescriptlabs]
📊 Kwiatkowski-Phillips-Schmidt-Shin Model Indicator & Dickey-Fuller Test 📈
This algorithm performs two statistical tests on the price spread between two selected instruments: the first from the current chart and the second determined in the settings. The purpose is to determine if their relationship is stationary. It then uses this information to generate **visual signals** based on how far the current relationship deviates from its historical average.
⚙️ Key Components:
• 🧪 ADF Test (Augmented Dickey-Fuller):** Checks if the spread between the two instruments is stationary.
• 🔬 KPSS Test (Kwiatkowski-Phillips-Schmidt-Shin):** Another test for stationarity, complementing the ADF test.
• 📏 Z-Score Calculation:** Measures how many standard deviations the current spread is from its historical mean.
• 📊 Dynamic Threshold:** Adjusts the trading signal threshold based on recent market volatility.
🔍 What the Values Mean:
The indicator displays several key values in a table:
• 📈 ADF Stationarity:** Shows "Stationary" or "Non-Stationary" based on the ADF test result.
• 📉 KPSS Stationarity:** Shows "Stationary" or "Non-Stationary" based on the KPSS test result.
• 📏 Current Z-Score:** The current Z-score of the spread.
• 🔗 Hedge Ratio:** The relationship coefficient between the two instruments.
• 🌐 Market State:** Describes the current market condition based on the Z-score.
📊 How to Interpret the Chart:
• The main chart displays the Z-score of the spread over time.
• The green and red lines represent the upper and lower thresholds for trading signals.
• The area between the **Z-score** and the thresholds is filled when a trading signal is active.
• Additional charts show the **statistics of the ADF and KPSS tests** and their critical values.
**📉 Practical Example: NVIDIA Corporation (NVDA)**
Looking at the chart for **NVIDIA Corporation (NVDA)**, we can see how the indicator applies in a real case:
1. **Main Chart (Top):**
• Shows the **historical price** of NVIDIA on a weekly scale.
• A general **uptrend** is observed with periods of consolidation.
2. **KPSS & ADF Indicator (Bottom):**
• The lower chart shows the KPSS & ADF Model indicator applied to NVIDIA.
• The **green line** represents the Z-score of the spread.
• The **green shaded areas** indicate periods where the Z-score exceeded the thresholds, generating trading signals.
3. **📋 Current Values in the Table:**
• **ADF Stationarity:** Non-Stationary
• **KPSS Stationarity:** Non-Stationary
• **Current Z-Score:** 3.45
• **Hedge Ratio:** -164.8557
• **Market State:** Moderate Volatility
4. **🔍 Interpretation:**
• A Z-score of **3.45** suggests that NVIDIA’s price is significantly above its historical average relative to **EURUSD**.
• Both the **ADF** and **KPSS** tests indicate **non-stationarity**, suggesting **caution** when using mean reversion signals at this moment.
• The market state "Moderate Volatility" indicates noticeable deviation, but not extreme.
---
**💡 Usage:**
• **When Both Tests Show Stationarity:**
• **🔼 If Z-score > Upper Threshold:** Consider **buying the first instrument** and **selling the second**.
• **🔽 If Z-score < Lower Threshold:** Consider **selling the first instrument** and **buying the second**.
• **When Either Test Shows Non-Stationarity:**
• Wait for the relationship to become **stationary** before trading.
• **Market State:**
• Use this information to evaluate **general market conditions** and adjust your trading strategy accordingly.
**Mirror Comparison of the Same as Symbol 2 🔄📊**
**📊 Table Values:**
• **Extreme Volatility Threshold:** This value is displayed when the **Z-score** exceeds **100%**, indicating **extreme deviation**. It signals a potential **trading opportunity**, as the spread has reached unusually high or low levels, suggesting a **reversion or correction** in the market.
• **Mean Reversion Threshold:** Appears when the **Z-score** begins returning towards the mean after a period of **high or extreme volatility**. It indicates that the spread between the assets is returning to normal levels, suggesting a phase of **stabilization**.
• **Neutral Zone:** Displayed when the **Z-score** is near **zero**, signaling that the spread between assets is within expected limits. This indicates a **balanced market** with no significant volatility or clear trading opportunities.
• **Low Volatility Threshold:** Appears when the **Z-score** is below **70%** of the dynamic threshold, reflecting a period of **low volatility** and market stability, indicating fewer trading opportunities.
Español:
📊 Indicador del Modelo Kwiatkowski-Phillips-Schmidt-Shin & Prueba de Dickey-Fuller 📈
Este algoritmo realiza dos pruebas estadísticas sobre la diferencia de precios (spread) entre dos instrumentos seleccionados: el primero en el gráfico actual y el segundo determinado en la configuración. El objetivo es determinar si su relación es estacionaria. Luego utiliza esta información para generar señales visuales basadas en cuánto se desvía la relación actual de su promedio histórico.
⚙️ Componentes Clave:
• 🧪 Prueba ADF (Dickey-Fuller Aumentada): Verifica si el spread entre los dos instrumentos es estacionario.
• 🔬 Prueba KPSS (Kwiatkowski-Phillips-Schmidt-Shin): Otra prueba para la estacionariedad, complementando la prueba ADF.
• 📏 Cálculo del Z-Score: Mide cuántas desviaciones estándar se encuentra el spread actual de su media histórica.
• 📊 Umbral Dinámico: Ajusta el umbral de la señal de trading en función de la volatilidad reciente del mercado.
🔍 Qué Significan los Valores:
El indicador muestra varios valores clave en una tabla:
• 📈 Estacionariedad ADF: Muestra "Estacionario" o "No Estacionario" basado en el resultado de la prueba ADF.
• 📉 Estacionariedad KPSS: Muestra "Estacionario" o "No Estacionario" basado en el resultado de la prueba KPSS.
• 📏 Z-Score Actual: El Z-score actual del spread.
• 🔗 Ratio de Cobertura: El coeficiente de relación entre los dos instrumentos.
• 🌐 Estado del Mercado: Describe la condición actual del mercado basado en el Z-score.
📊 Cómo Interpretar el Gráfico:
• El gráfico principal muestra el Z-score del spread a lo largo del tiempo.
• Las líneas verdes y rojas representan los umbrales superior e inferior para las señales de trading.
• El área entre el Z-score y los umbrales se llena cuando una señal de trading está activa.
• Los gráficos adicionales muestran las estadísticas de las pruebas ADF y KPSS y sus valores críticos.
📉 Ejemplo Práctico: NVIDIA Corporation (NVDA)
Observando el gráfico para NVIDIA Corporation (NVDA), podemos ver cómo se aplica el indicador en un caso real:
Gráfico Principal (Superior): • Muestra el precio histórico de NVIDIA en escala semanal. • Se observa una tendencia alcista general con períodos de consolidación.
Indicador KPSS & ADF (Inferior): • El gráfico inferior muestra el indicador Modelo KPSS & ADF aplicado a NVIDIA. • La línea verde representa el Z-score del spread. • Las áreas sombreadas en verde indican períodos donde el Z-score superó los umbrales, generando señales de trading.
📋 Valores Actuales en la Tabla: • Estacionariedad ADF: No Estacionario • Estacionariedad KPSS: No Estacionario • Z-Score Actual: 3.45 • Ratio de Cobertura: -164.8557 • Estado del Mercado: Volatilidad Moderada
🔍 Interpretación: • Un Z-score de 3.45 sugiere que el precio de NVIDIA está significativamente por encima de su promedio histórico en relación con EURUSD. • Tanto la prueba ADF como la KPSS indican no estacionariedad, lo que sugiere precaución al usar señales de reversión a la media en este momento. • El estado del mercado "Volatilidad Moderada" indica una desviación notable, pero no extrema.
💡 Uso:
• Cuando Ambas Pruebas Muestran Estacionariedad:
• 🔼 Si Z-score > Umbral Superior: Considera comprar el primer instrumento y vender el segundo.
• 🔽 Si Z-score < Umbral Inferior: Considera vender el primer instrumento y comprar el segundo.
• Cuando Alguna Prueba Muestra No Estacionariedad:
• Espera a que la relación se vuelva estacionaria antes de operar.
• Estado del Mercado:
• Usa esta información para evaluar las condiciones generales del mercado y ajustar tu estrategia de trading en consecuencia.
Comparativo en Espejo del Mismo Como Símbolo 2 🔄📊
📊 Valores de la Tabla:
• Umbral de Volatilidad Extrema: Este valor se muestra cuando el Z-score supera el 100%, indicando desviación extrema. Señala una posible oportunidad de trading, ya que el spread entre los activos ha alcanzado niveles inusualmente altos o bajos, lo que podría indicar una reversión o corrección en el mercado.
• Umbral de Reversión a la Media: Aparece cuando el Z-score comienza a volver hacia la media tras un período de alta o extrema volatilidad. Indica que el spread entre los activos está regresando a niveles normales, sugiriendo una fase de estabilización.
• Zona Neutral: Se muestra cuando el Z-score está cerca de cero, señalando que el spread entre activos está dentro de lo esperado. Esto indica un mercado equilibrado con ninguna volatilidad significativa ni oportunidades claras de trading.
• Umbral de Baja Volatilidad: Aparece cuando el Z-score está por debajo del 70% del umbral dinámico, reflejando un período de baja volatilidad y estabilidad del mercado, indicando menos oportunidades de trading.
[DarkTrader] Harmonic SNRThe Harmonic SNR indicator identifies key price levels (pivots) based on harmonic swings and highlights these levels as potential support and resistance zones. It works by analyzing price swings on two different timeframes simultaneously and compares the resulting pivot points to find matching levels between the timeframes.
Once the matching levels are identified, the script filters out the ones that are too close to each other based on a user-defined minimum distance. This helps in displaying only the most relevant levels on the chart. The valid levels are then sorted and plotted as lines on the chart to provide visual reference points for potential support and resistance areas. These harmonic levels can help traders identify key price zones where the market may react or reverse.
The difference between Harmonic SNR algorithm and traditional Classic Support and Resistance (SNR) lies in the methodology of identifying key price levels, the comparison of timeframes, and the way the levels are filtered and plotted.
1. Method of Calculation
Classic SNR :
Support and resistance levels are often identified based on historical price highs and lows, psychological round numbers, or areas where price has reversed multiple times in the past.
This approach is more static and often relies on manual identification or simple horizontal lines that mark historical levels.
Harmonic SNR :
This indicator uses pivot highs and lows from harmonic swings based on a defined swing period. It calculates swing points programmatically (using pivot calculations) and identifies key price levels algorithmically.
It compares pivot points across two different timeframes (intraday and a higher timeframe) to filter out important price levels, providing a more dynamic and multi-timeframe perspective.
2. Multi-Timeframe Comparison
Classic SNR :
Classic SNR typically focuses on one timeframe and doesn’t involve comparing key levels across different timeframes.
It marks levels purely based on historical price behavior within the single timeframe of analysis.
Harmonic SNR :
This algorithm compares price swings from two different timeframes (e.g., intraday and daily or higher timeframes). Only levels that appear in both timeframes are considered valid.
This makes the harmonic SNR more selective, filtering out weaker levels and highlighting only those that are significant on both timeframes.
3. Dynamic Filtering and Distance Control
Classic SNR :
Traditional SNR does not typically involve filtering based on the distance between levels. It can plot multiple levels even if they are very close to each other, which can clutter the chart.
Harmonic SNR :
This script introduces a filtering mechanism based on a user-defined minimum distance between two levels. If two levels are too close to each other (within a specified threshold), one is excluded to avoid redundancy.
This distance control adds an additional layer of precision to your SNR levels, making them more reliable by avoiding over-clustered levels.
Indicator In Use :
By using harmonic swing points, this indicator indirectly reflects harmonic price movement, which is rooted in the natural oscillation of the market. This gives your SNR levels a dynamic, harmonic-based foundation.
FloWave Oscillator [StabTrading]The FloWave Oscillator is a powerful trading tool designed to identify market trends and reversals by analysing reversal zones based on momentum and fear algorithms.
Serving as the first stage in a comprehensive trading system, it is intentionally straightforward, allowing traders to clearly see potential entry points across all charts and timeframes.
By inputting their own market sentiment, traders can customize the algorithm to align with their trading style. This flexibility helps traders navigate complex market environments with greater precision, whether they are seeking to capitalize on short-term opportunities or ride longer-term trends.
💡 Features
Reversal Zones - The FloWave Oscillator identifies key reversal zones driven by momentum and fear dynamics. Lighter green zones signal the initial stages of a potential reversal, while darker green zones indicate that a trend flip is imminent.
Trading Style Customization - The indicator allows traders to adjust their trading style with sensitivity settings ranging from Very Aggressive to Very Conservative. This flexibility lets traders tailor the indicator to their preferred time horizon—whether they seek to scalp short-term opportunities or capture long-term reversals.
🔥 Sensitivity Settings
Very Aggressive/Aggressive - These settings increase the indicator's sensitivity, generating more frequent signals, ideal for traders focused on short-term gains or those navigating choppy markets.
Neutral - Offers a balanced approach, combining both aggressive and conservative elements. It's a starting point for traders to evaluate performance before adjusting to more specific styles.
Conservative/Very Conservative - These settings reduce signal frequency, focusing on stronger, more reliable reversals. Best suited for long-term traders aiming to minimize risk and avoid premature market entries or exits.
🛠️ Usage/Practice
In the above example we’ll analysis how the indicator accurately predicts both the tops and bottoms of a market cycle.
Top of the Bull Market - The trendline initially shows two light red reversal zones, signalling a potential weakening in the upward momentum. As the trend progresses, a dark red zone emerges, confirming that a more substantial trend reversal to the downside is likely. This sequence provides an early warning, allowing traders to prepare for a possible market shift.
First Bull Signal - In the following phase, the indicator mirrors the previous action but in the opposite direction, identifying a reversal towards the upside. This behaviour demonstrates the indicator's ability to adapt to changing market conditions.
Bottom of the Bear Market - As the market continues its downward trajectory, the indicator presents two dark green reversal zones, highlighting areas where the selling pressure may be easing. These dark green zones offer three distinct opportunities to dollar-cost average (DCA) into the asset, allowing traders to build or enhance their positions during the end of the bear cycle. The indicator’s sensitivity in this phase ensures that traders can navigate the bearish market with confidence.
Continuation of Bull Cycle - In this segment, the indicator does not display any dark green reversal zones, implying that the uptrend remains robust. The absence of these zones suggests that the upward momentum is likely to continue, providing traders with another opportunity to add to their long positions. This scenario underscores the indicator’s capacity to identify when a trend is strong enough to warrant additional investment.
Potential Correction in an Uptrend - A light red zone appears, signalling a possible correction within the ongoing uptrend. However, the absence of a dark red zone indicates that the correction may be minor and that the overall trend is still upward. Traders might view this as a conservative point to take some profits off the table, managing risk while staying aligned with the broader bull market.
Bearish Signal - Eventually, a dark red reversal zone emerges, indicating that the trend has lost its upward momentum. This signal serves as a strong indicator that the uptrend may be concluding, prompting traders to consider exiting their positions or taking a more defensive stance. As the market enters a sideways phase, the trader can switch to a more aggressive trading style, seeking opportunities to scalp within the range while navigating the flat market conditions.
In this example, we demonstrate how to identify scalp trading opportunities by combining the Very Conservative and Very Aggressive settings. The key strategy is to use the Very Conservative trend to confirm the validity of reversal zones identified by the Very Aggressive setting.
The VC trend doesn’t indicate a buy reversal zone, but it shows an upward divergence. This suggests that the reversal buy zone on the VA chart is a potential entry point due to the supportive VC trend.
Multiple sell zones appear on the VA chart, but the VC trend shows a strong and steady uptrend. This suggests that we should wait for confirmation from the VC trend before considering a sell position, as the market is still moving upward strongly.
The VA chart shows several buy zones, but the VC trend indicates a strong downtrend, and no buy zone appears on the conservative setting. This suggests waiting for the next VA buy zone, confirmed by an upward divergence on the VC trend, before entering a trade.
Similar to Point 3 but in the opposite direction, the VA chart shows sell zones, but the VC trend indicates caution. The strategy would be to wait for confirmation from the VC trend before making a move.
🔶Conclusion
When used in conjunction with other indicators like the MeanRevert Matrix, the FloWave Oscillator becomes an integral part of a comprehensive trading system. It helps traders make informed decisions by providing clear signals that are aligned with the current market sentiment and broader economic trends. By following the implementation guidelines and adjusting the indicator settings as market conditions change, traders can effectively enhance their trading performance.
Advanced RenkoEnglish description, Türkçe açıklaması da hemen altında.
Advanced Renko Indicator User Guide
1. General Functionality of the Indicator:
The Advanced Renko indicator allows you to analyze market trends using Renko charts. Renko charts help filter out noise in price movements, making trends more apparent. This indicator can be customized with various settings, such as brick sizing methods, calculation periods, fixed level factors, and data source selections.
2. Key Features and Parameters:
A. Brick Sizing Settings:
Brick Type (tuglaTipi): Three options are available for brick sizing:
ATR (Average True Range): The brick size is determined using the ATR value multiplied by a coefficient, making it sensitive to market volatility.
Traditional: A fixed brick size that remains constant regardless of market volatility.
Percentage: The brick size is calculated as a percentage of the current closing price.
Fixed Brick Size (sabitTuglaBoyutu): When using the Traditional method, you can set the brick size with this parameter.
ATR Period (atrDonemi): Defines the period used for the ATR calculation, which affects the ATR-based brick size.
ATR Multiplier (atrCarpani): Adjusts the sensitivity of the ATR-based brick size.
Percentage (yuzde): Sets the percentage used to calculate the brick size when using the percentage-based method.
Minimum Volatility (minVolatilite): Ensures that unnecessary bricks are avoided by setting a minimum volatility threshold.
B. Calculation Periods:
Average Deviation Period (donem): Defines the period used for calculating the average deviation.
Short-Term Moving Average Period (shortMA_Period): The period used for calculating the short-term moving average.
Median Filtering Period (median_Period): The period used for median filtering.
Kaufman’s Adaptive Moving Average Period (kama_Period): The period used for calculating Kaufman’s Adaptive Moving Average.
C. Fixed Level Factors:
Fast Fixed Level Factor (fast_SF): Defines the fixed level factor used for the fast adaptive moving average calculation.
Slow Fixed Level Factor (slow_SF): Defines the fixed level factor used for the slow adaptive moving average calculation.
D. Data Source Selection:
Source Type (kaynakTipi): You can choose from various price data types, including open, high, low, close prices, and different average prices.
3. Dynamic ATR Multiplier Calculation: The dynamic ATR multiplier is calculated using the change in price over the ATR period and the simple moving average (SMA). This calculation helps adjust the ATR-based brick size according to market conditions.
4. Kaufman’s Adaptive Moving Average (KAMA): KAMA is calculated by considering price changes and volatility. The indicator evaluates the price changes and speed over the past period to calculate an adaptive moving average.
5. Median Filtering: Median filtering calculates the median of the selected data source over a specific period, providing a more balanced data set.
6. Brick Size Calculation:
ATR: The brick size is calculated using ATR and the dynamic multiplier.
Traditional: A fixed brick size is used.
Percentage: The brick size is calculated as a percentage of the closing price.
7. Average Deviation Calculation: Average deviation calculates the amount of deviation in the selected data source, helping the brick size adapt to volatility.
8. Adaptive Brick Sizing: The latest brick sizes are adjusted by averaging the brick sizes over a specific period. This allows the brick size to change dynamically according to market conditions.
9. Renko Brick Calculation: Renko bricks are calculated using the selected KAMA value. A new brick is formed when the price passes a certain level. This process is limited by specific loops.
10. Brick Formation Considering Price Deviations: Price deviation makes brick formation more sensitive. A new brick is formed when the price change exceeds a specified deviation amount.
11. Low Volatility Filter: If the ATR value is below the minimum volatility threshold, brick formation is halted. This prevents unnecessary brick formation.
12. Momentum-Based Brick Size: The brick size is adjusted according to market momentum using the RSI (Relative Strength Index). If RSI is above 70, the brick size is increased; if below 30, the brick size is decreased.
13. Candle Coloring: Candles are colored according to the direction of the Renko bricks. Rising bricks are shown in green, while falling bricks are shown in red.
14. Coloring Brick Levels: Renko closing and opening levels are colored and displayed on the chart. These levels help you see the trend direction more clearly.
15. Drawing Renko Bricks: Renko bricks are represented on the chart with green triangles for upward bricks and red triangles for downward bricks.
Benefits for Users:
Trend Tracking: Renko charts make it easier to see trends clearly.
Volatility Sensitivity: ATR-based brick sizes dynamically adjust to market volatility.
Flexibility: Offers customization with different brick sizing methods and data source options.
Momentum Analysis: RSI-based brick size adjustments are beneficial for momentum-based strategies.
Reducing Unnecessary Noise: The low volatility filter prevents unnecessary brick formation.
This indicator is a powerful tool for analyzing market trends and price movements. Users can customize the indicator according to their strategies for more effective use.
Important Disclaimer: No indicator, algorithm, or strategy can predict the markets with 100% accuracy. This tool is designed to help make informed decisions but should not be used as the sole basis for trading. Always consider using additional analysis and risk management strategies. Blind reliance on any tool can lead to significant financial losses.
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Advanced Renko Göstergesi Kullanım Kılavuzu
1. Göstergenin Genel İşleyişi:
Advanced Renko göstergesi, Renko grafikleri kullanarak piyasa trendlerini analiz etmenizi sağlar. Renko grafikleri, fiyat hareketlerindeki gürültüyü filtreleyerek trendlerin daha net bir şekilde görülmesine yardımcı olur. Bu gösterge, tuğla boyutlandırma yöntemleri, hesaplama dönemleri, sabit düzey faktörleri ve kaynak veri seçimleri gibi çeşitli ayarlarla özelleştirilebilir.
2. Anahtar Özellikler ve Parametreler:
A. Tuğla Boyutlandırma Ayarları:
Tuğla Tipi (tuglaTipi): Tuğla boyutlandırma yöntemi olarak üç seçenek sunuluyor:
ATR (Average True Range): ATR değeri ve bir çarpan kullanılarak tuğla boyutu belirlenir, bu da piyasa volatilitesine duyarlı hale getirir.
Geleneksel: Sabit bir tuğla boyutu belirleyebilirsiniz. Bu boyut, piyasa volatilitesinden bağımsız olarak sabit kalır.
Yüzde: Kapanış fiyatının belirli bir yüzdesi olarak tuğla boyutu hesaplanır.
Sabit Tuğla Boyutu (sabitTuglaBoyutu): Geleneksel yöntemi kullanırken, tuğla boyutunu bu parametreyle belirleyebilirsiniz.
ATR Dönemi (atrDonemi): ATR hesaplaması için kullanılacak dönemi belirler. Bu dönem, ATR tabanlı tuğla boyutunu etkiler.
ATR Çarpanı (atrCarpani): ATR tabanlı tuğla boyutunun hassasiyetini ayarlar.
Yüzde (yuzde): Yüzde tabanlı tuğla boyutunu hesaplamak için kullanılan yüzde değerini belirler.
Minimum Volatilite (minVolatilite): Gereksiz tuğlaların oluşmasını engellemek için minimum volatilite eşiğini belirler.
B. Hesaplama Dönemleri:
Ortalama Sapma Dönemi (donem): Ortalama sapma hesaplaması için kullanılacak dönemi belirler.
Kısa Vadeli Hareketli Ortalama Dönemi (shortMA_Period): Kısa vadeli hareketli ortalama hesaplaması için kullanılan dönemdir.
Medyan Filtreleme Dönemi (median_Period): Medyan filtreleme için kullanılacak dönemdir.
Kaufman’ın Adaptif Hareketli Ortalama Dönemi (kama_Period): Kaufman’ın Adaptif Hareketli Ortalama hesaplaması için kullanılan dönemdir.
C. Sabit Düzey Faktörleri:
Hızlı Sabit Düzey Faktörü (fast_SF): Hızlı adaptif hareketli ortalama hesaplaması için sabit düzey faktörünü belirler.
Yavaş Sabit Düzey Faktörü (slow_SF): Yavaş adaptif hareketli ortalama hesaplaması için sabit düzey faktörünü belirler.
D. Kaynak Veriyi Seçme:
Kaynak Tipi (kaynakTipi): Farklı fiyat veri türleri arasından seçim yapabilirsiniz. Bu seçenekler arasında açılış, yüksek, düşük, kapanış fiyatları ve farklı ortalama fiyatlar bulunmaktadır.
3. Dinamik ATR Çarpanı Hesaplama: Dinamik ATR çarpanı, fiyatın ATR dönemi içindeki değişimi ve basit hareketli ortalama (SMA) kullanılarak hesaplanır. Bu hesaplama, ATR tabanlı tuğla boyutunu piyasa koşullarına göre ayarlamaya yardımcı olur.
4. Kaufman’ın Adaptif Hareketli Ortalaması (KAMA): KAMA, fiyat değişikliklerini ve volatiliteyi dikkate alarak hesaplanır. Gösterge, fiyatın geçmiş dönemdeki değişimlerini ve hızını değerlendirerek adaptif bir hareketli ortalama hesaplar.
5. Medyan Filtreleme: Medyan filtreleme, seçilen kaynak verinin medyanını belirli bir dönem üzerinden hesaplayarak veriyi daha dengeli hale getirir.
6. Tuğla Boyutu Hesaplama:
ATR: ATR ve dinamik çarpanı kullanarak tuğla boyutu hesaplanır.
Geleneksel: Sabit tuğla boyutu kullanılır.
Yüzde: Kapanış fiyatının belirli bir yüzdesi alınarak tuğla boyutu hesaplanır.
7. Ortalama Sapma Hesaplama: Ortalama sapma, kaynak verinin sapma miktarını hesaplar. Bu hesaplama, tuğla boyutunun volatiliteye uyum sağlamasına yardımcı olur.
8. Uyarlamalı Tuğla Boyutlandırma: Son tuğla boyutları, belirli bir dönemdeki tuğla boyutlarının ortalaması alınarak ayarlanır. Bu, tuğla boyutunun piyasa koşullarına göre dinamik olarak değişmesine olanak tanır.
9. Renko Tuğla Hesaplama: Renko tuğlaları, seçilen KAMA değeri kullanılarak hesaplanır. Fiyat belirli bir seviyeyi geçtiğinde yeni bir tuğla oluşur. Bu süreç, belirli döngülerle sınırlandırılmıştır.
10. Fiyat Sapmalarını Dikkate Alarak Tuğla Oluşturma: Fiyat sapması, tuğla oluşumunu daha hassas hale getirir. Belirli bir sapma miktarının üzerinde değişiklik olduğunda yeni tuğla oluşturulur.
11. Düşük Volatilite Filtresi: ATR değeri minimum volatilite eşiğinin altındaysa, tuğla oluşumu durdurulur. Bu, gereksiz tuğla oluşumlarını engeller.
12. Momentum Tabanlı Tuğla Boyutu: RSI (Relative Strength Index) kullanılarak tuğla boyutu piyasa momentumuna göre ayarlanır. RSI 70’in üzerindeyse tuğla boyutu artırılır, 30’un altındaysa azaltılır.
13. Mum Boyama: Renko tuğlalarının yönüne göre mumlar renklendirilir. Yükselen tuğlalar yeşil, düşen tuğlalar kırmızı renkte gösterilir.
14. Tuğla Seviyelerini Renklendirme: Renko kapanış ve açılış seviyeleri grafikte renklendirilerek gösterilir. Bu seviyeler, trendin yönünü daha net bir şekilde görmenizi sağlar.
15. Renko Tuğlalarını Çizmek İçin Şekiller: Grafikte Renko tuğlaları, yukarı yönlü tuğlalar için yeşil üçgen, aşağı yönlü tuğlalar için kırmızı üçgen ile gösterilir.
Kullanıcılar için Faydaları:
Trend Takibi: Renko grafikleri, trendleri net bir şekilde görmenizi sağlar.
Volatiliteye Duyarlılık: ATR tabanlı tuğla boyutları, piyasa volatilitesine göre dinamik olarak ayarlanır.
Esneklik: Farklı tuğla boyutlandırma yöntemleri ve kaynak veri seçenekleri ile özelleştirme imkanı sunar.
Momentum Analizi: RSI tabanlı tuğla boyutu ayarlamaları, momentum bazlı stratejiler için faydalıdır.
Gereksiz Gürültüleri Azaltma: Düşük volatilite filtresi, gereksiz tuğlaların oluşmasını engeller.
Bu gösterge, piyasa trendlerini ve fiyat hareketlerini analiz etmek için güçlü bir araçtır. Kullanıcılar, göstergeyi kendi stratejilerine göre özelleştirerek daha verimli bir şekilde kullanabilirler.
Önemli Uyarı:
Hiçbir gösterge, algoritma veya strateji piyasaları %100 doğrulukla tahmin edemez. Bu araç, bilinçli kararlar vermenize yardımcı olmak için tasarlanmıştır, ancak yalnızca ticaret için tek temel olarak kullanılmamalıdır. Daima ek analizler ve risk yönetimi stratejileri kullanmayı düşünün. Herhangi bir araca körü körüne bağlı kalmak, önemli finansal kayıplara yol açabilir.
Stock Market Scout's Buy/Sell Signals - PremiumEnglish description, Türkçe açıklaması da hemen altında.
Stock Market Scout's Buy/Sell Signals - Premium
This indicator combines four different technical analysis tools, enabling investors to analyze market trends and volatility, generate strong buy/sell signals, and detect divergences. Each tool is based on a specific analysis method, allowing investors to customize their strategies according to various market conditions. The strength of this indicator lies in its ability to offer a multi-dimensional analysis by combining various calculation methods.
Indicator 1: Buy/Sell Signals
Objective:
This indicator generates buy and sell signals by utilizing various data derived from price movements. It provides dynamic analysis sensitive to market movements by using adaptive price calculation methods and different volatility measurements.
How It Works:
Adaptive Moving Average (AMA): Calculates a moving average responsive to price movements. This average can quickly adapt to the current market situation and respond faster to trend changes.
Kaufman’s Adaptive Moving Average (KAMA): This average takes into account the direction and volatility of price movements. By adjusting itself according to market conditions, it provides more accurate trend information to investors.
Fractal Adaptive Moving Average (FRAMA): Considers the fractal structure of the price, allowing for more accurate detection of trends and turning points.
Volatility Measurements: The indicator utilizes various volatility measurement methods such as Wilder's ATR, AMA, KAMA, and FRAMA, enabling investors to optimize their buy and sell signals.
Time Interval: Different timeframes can be selected for buy and sell signals, allowing strategies to be more effective in specific timeframes.
Signal Generation: Based on price movements and volatility, buy and sell signals are displayed at specific levels on the chart. These signals are visualized with lines and labels.
Why Use It: This indicator provides dynamic analysis that can quickly adapt to market movements. Investors can make more informed buy and sell decisions by accurately analyzing trend changes and volatility in the market.
Author's Recommendation:
In the Buy/Sell Signals Section, create combinations of the data source types and volatility options I have designed for you to determine the strategy that suits you best; it won't take much of your time. For example: Keep the period settings of the Buy/Sell signals as 10. Data Source Type S_M_S-10, Volatility Type S_M_S-Ozel3 Volatility, Sensitivity Setting: 7 /// S_M_S-5, S_M_S-Ozel3 Volatility, Sensitivity Setting: 5 /// S_M_S-6, S_M_S-Ozel1 Volatility, Sensitivity Setting: 5 /// S_M_S-6, S_M_S-Ozel6 Volatility, Sensitivity Setting: 5, etc.
Stock_Market_Scout's Buy/Sell Signals – Premium adapts to every chart, but as you know, every chart has different dynamics. You can either stick to a single combination or find the most suitable combination for each chart; my recommendation is to find the most appropriate combination for each chart.
Indicator 2: Trend Tracking
Objective:
The Trend Tracking indicator analyzes the strength of market trends using Renko charts. Renko bricks reduce noise caused by price movements, making trends easier to identify.
How It Works:
Renko Brick Size: Users can choose whether to base Renko bricks on trend or volatility. A fixed brick size can be set, or a volatility-based dynamic brick size can be used.
Source Data: The indicator supports various types of data sources, ranging from standard OHLC prices to customized calculations.
Time Interval: Users can select the timeframe for calculating Renko bricks, allowing analysis of how trends change over different periods.
Trend Strength: The indicator calculates the correlation between Renko brick closing prices and price movements over a specific period, determining the strength of the trend based on this correlation. It provides information on the strength and direction of the trend.
Color Coding: When the trend strength reaches specific levels, candles are highlighted with color coding, offering a quick visual reference for the strength of the trend.
Why Use It: The Trend Tracking indicator helps investors to see market trends more clearly and analyze their strength. It is ideal for obtaining clearer signals in trend-based strategies.
Indicator 3: Trend Direction Simulation
Objective:
Trend Direction Simulation analyzes market trends using Renko bricks in three different timeframes. This allows investors to see how trends change and whether they are aligned across various timeframes.
How It Works:
Three Different Timeframes: Users can select three different timeframes, and Renko bricks are calculated separately for each timeframe. This allows the simultaneous analysis of short, medium, and long-term trends.
Source Data: Different data sources can be used for each timeframe, enabling more detailed analysis based on various data sources.
Renko Brick Size: Fixed or dynamic brick sizes can be set for each timeframe, allowing users to customize trend analysis based on different volatility levels.
Trend Simulation: Trend direction is calculated using Renko bricks for each timeframe and is visually displayed on the chart. Additionally, buy/sell signals can be generated to understand whether these trends are aligned.
Buy/Sell Signals: Trend Direction Simulation can generate buy and sell signals under certain conditions, helping to determine whether trends are aligned across different timeframes and identify potential turning points.
Why Use It: This indicator helps understand how trends change and whether they are aligned across different timeframes. Investors can use this simulation to analyze market trends more deeply and optimize their strategies accordingly.
Indicator 4: RSI and Divergences
Objective:
This indicator detects market divergences using the Relative Strength Index (RSI) and displays them on the chart. Divergences help identify potential turning points by determining the momentum of price movements.
How It Works:
RSI Calculation: RSI can be calculated using classic price data or Renko-based data, allowing analysis of how RSI responds under different market conditions.
Divergence Detection: The indicator detects positive and negative divergences between price and RSI. Positive divergence is when the price is falling, but RSI is rising, and negative divergence is when the price is rising, but RSI is falling.
Chart Display: Divergences are shown on the chart with special labels and lines. These visual representations provide information about potential turning points, making quick decision-making easier.
Color Coding: The indicator highlights divergences with color codes. Positive divergences are shown in shades of green, while negative divergences are shown in shades of red.
Why Use It: The RSI and Divergences indicator allows investors to identify market momentum and potential turning points. Divergences are critical in determining when trends may be ending or weakening. This indicator visually highlights such signals, helping investors make more informed decisions.
General Overview and User Guide
How to Use:
Buy/Sell Signals: First, select the data sources and volatility measurement methods you want to use in the Buy/Sell Signals section. Choose the timeframe and monitor the signals on the chart. Using these signals during periods when the trend is strong and volatility is at an appropriate level can help you make more successful trades.
Trend Tracking: Use Renko-based trend analysis in this section to determine the general direction of the market. Since trend strength is shown with color coding, you can quickly understand which direction is experiencing a strong movement. This information can be used to support your current positions or open new ones.
Trend Direction Simulation: Analyze trends in three different timeframes. Check whether the trends are aligned in each timeframe. If the trends are aligned, it may indicate a strong trend continuation. You can use the buy/sell signals obtained from the simulation as part of your strategy.
RSI and Divergences: Detect divergences between price movements and RSI using the RSI indicator. These divergences play a critical role in identifying potential trend reversals. Especially, negative divergences may indicate the end of an uptrend, while positive divergences may signal the end of a downtrend.
Why Use It:
Versatile Analysis: This indicator combines four different analysis tools on a single platform, allowing investors to conduct more in-depth market analysis. Each tool offers a different strategic approach, enhancing the versatility of the indicator.
Customizable Settings: The wide range of settings offered by the indicator allows investors to make customizations that suit their strategies. This enables flexibility and effectiveness under different market conditions.
Visual Aids: The visual signals provided on the chart offer quick and easily accessible information about trend direction, divergences, and buy/sell signals. This helps in making investment decisions quickly and effectively.
Rapid Adaptation to Market Conditions: Adaptive calculation methods quickly adapt to market conditions, producing accurate and timely signals. This helps investors to be more prepared for market fluctuations.
Note for Moderation and Approval Process: This indicator is not just about combining classic analysis tools but is also optimized to work effectively across different timeframes and market conditions. Each component adds value to the indicator, enhancing its uniqueness and utility. The broad customization options and versatile analysis capability offered to investors make this indicator much more than an ordinary combination.
Important Disclaimer: No indicator, algorithm, or strategy can predict the markets with 100% accuracy. This tool is designed to help make informed decisions but should not be used as the sole basis for trading. Always consider using additional analysis and risk management strategies. Blind reliance on any tool can lead to significant financial losses.
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Stock Market Scout'un Al/Sat Sinyalleri - Premium
Bu gösterge, dört farklı teknik analiz aracını bir araya getirerek, yatırımcıların piyasa trendlerini ve volatiliteyi analiz etmelerini, güçlü alım/satım sinyalleri üretmelerini ve uyumsuzlukları tespit etmelerini sağlar. Her bir araç, belirli bir analiz yöntemi üzerine kuruludur ve yatırımcıların çeşitli piyasa koşullarına göre stratejilerini özelleştirmelerine olanak tanır. Bu göstergenin güçlü yanı, çeşitli hesaplama yöntemlerini birleştirerek çok boyutlu bir analiz sunmasıdır.
Gösterge 1: Al/Sat Sinyalleri
Amaç:
Bu gösterge, fiyat hareketlerinden elde edilen çeşitli verileri kullanarak alım ve satım sinyalleri üretir. Gösterge, adaptif fiyat hesaplama yöntemlerini ve farklı volatilite ölçümlerini kullanarak, piyasa hareketlerine duyarlı dinamik bir analiz sağlar.
Nasıl Çalışır:
1. Adaptive Moving Average (AMA): Fiyat hareketlerine duyarlı bir hareketli ortalama hesaplar. Bu, piyasanın mevcut durumuna hızlıca adapte olabilen bir ortalamadır ve trend değişikliklerine daha hızlı yanıt verir.
2. Kaufman’s Adaptive Moving Average (KAMA): Bu ortalama, fiyat hareketlerinin yönünü ve volatilitesini dikkate alır. Piyasa koşullarına göre kendini ayarlayarak, yatırımcılara daha doğru trend bilgisi sağlar.
3. Fractal Adaptive Moving Average (FRAMA): Fiyatın fraktal yapısını dikkate alarak, trendlerin ve dönüş noktalarının daha doğru tespit edilmesine olanak tanır.
4. Volatilite Ölçümleri: Gösterge, Wilder's ATR, AMA, KAMA, FRAMA gibi çeşitli volatilite ölçüm yöntemlerini kullanarak, yatırımcının alım ve satım sinyallerini optimize etmesine olanak tanır.
5. Zaman Aralığı: Alım ve satım sinyalleri için farklı zaman dilimlerinin seçilmesi mümkündür. Bu sayede, stratejilerin belirli zaman dilimlerinde daha etkin çalışması sağlanır.
6. Sinyal Üretimi: Fiyat hareketlerine ve volatiliteye dayalı olarak, grafikte alım ve satım sinyalleri belirli seviyelerde gösterilir. Bu sinyaller, çizgiler ve etiketler ile görselleştirilir.
Neden Kullanılmalı:
Bu gösterge, piyasa hareketlerine hızlıca adapte olabilen dinamik bir analiz sağlar. Yatırımcılar, piyasadaki trend değişikliklerini ve volatiliteyi doğru bir şekilde analiz ederek daha bilinçli alım ve satım kararları verebilirler.
Yazardan tavsiye:
Al/Sat Sinyalleri Bölümü'nde sizler için oluşturduğum veri kaynağı türlerinden ve volatilite çeşitlerinden kombinasyonlar yaparak, size en uygun stratejiyi belirleyin, fazla zamanınızı almaz. Örneğin; Al/Sat sinyallerinin periyot ayarları 10 olarak kalsın. Veri Kaynağı Türü S_M_S-10, Volatilite Türü S_M_S-Ozel3 Volatility, Hassasiyet Ayarı: 7 /// S_M_S-5, S_M_S-Ozel3 Volatility, Hassasiyet Ayarı: 5 /// S_M_S-6, S_M_S-Ozel1 Volatility, Hassasiyet Ayarı: 5 /// S_M_S-6, S_M_S-Ozel6 Volatility, Hassasiyet Ayarı: 5 vb.
Stock_Market_Scout'un Al/Sat Sinyalleri – Premium, her grafiğe uyum sağlar fakat, sizlerin de bildiği üzere her grafiğin dinamikleri farklıdır. İster tek kombinasyon belirleyip onun üzerinden gidin, isterseniz her grafiğe en uygun kombinasyonu bulun, benim tavsiyem her grafiğe en uygun kombinasyonu bulmanızdır.
Gösterge 2: Trend Takibi
Amaç:
Trend Takibi göstergesi, Renko grafikleri kullanarak piyasa trendlerinin gücünü analiz eder. Renko tuğlaları, fiyat hareketlerinden kaynaklanan gürültüyü azaltır ve trendleri daha net bir şekilde görmeyi sağlar.
Nasıl Çalışır:
1. Renko Tuğla Boyutu: Kullanıcılar, trend mi yoksa volatilite mi baz alınarak Renko tuğlalarının nasıl oluşturulacağını seçebilirler. Sabit bir tuğla boyutu belirlenebilir veya volatilite tabanlı dinamik bir tuğla boyutu kullanılabilir.
2. Kaynak Veri: Gösterge, birçok farklı veri kaynağı türünü destekler. Bu veri kaynakları, standart OHLC fiyatlarından, özelleştirilmiş hesaplamalara kadar geniş bir yelpazeyi kapsar.
3. Zaman Aralığı: Kullanıcılar, Renko tuğlalarının hesaplanacağı zaman dilimini seçebilirler. Bu, farklı zaman dilimlerinde trendlerin nasıl değiştiğini analiz etmeye olanak tanır.
4. Trend Gücü: Gösterge, Renko tuğlalarının kapanış fiyatları ile belirli bir dönem boyunca fiyat hareketleri arasındaki korelasyonu hesaplar ve bu korelasyon üzerinden trend gücünü belirler. Korelasyon katsayısına dayalı olarak, trendin gücü ve yönü hakkında bilgi verir.
5. Renk Kodlaması: Trend gücü belirli seviyelerde olduğunda, mumlar renk kodlaması ile vurgulanır. Bu, yatırımcılara trendin gücü hakkında hızlı bir görsel referans sunar.
Neden Kullanılmalı:
Trend Takibi göstergesi, yatırımcıların piyasa trendlerini daha net bir şekilde görmelerine ve bu trendlerin gücünü analiz etmelerine yardımcı olur. Özellikle trend bazlı stratejilerde daha net sinyaller elde etmek için idealdir.
Gösterge 3: Trend Yönü Simülasyonu
Amaç:
Trend Yönü Simülasyonu, üç farklı zaman diliminde Renko tuğlalarını kullanarak piyasa trendlerini analiz eder. Bu sayede, yatırımcılar farklı zaman dilimlerinde trendlerin nasıl değiştiğini ve uyumlu olup olmadığını görebilirler.
Nasıl Çalışır:
1. Üç Farklı Zaman Dilimi: Kullanıcılar, üç farklı zaman dilimi seçebilirler ve her bir zaman dilimi için Renko tuğlaları ayrı ayrı hesaplanır. Bu, kısa, orta ve uzun vadeli trendlerin aynı anda analiz edilmesine olanak tanır.
2. Kaynak Veri: Her bir zaman dilimi için farklı veri kaynakları kullanılabilir. Bu, çeşitli veri kaynaklarına dayalı olarak daha detaylı bir analiz yapmayı mümkün kılar.
3. Renko Tuğla Boyutu: Her zaman dilimi için sabit veya dinamik tuğla boyutları belirlenebilir. Bu, kullanıcıların farklı volatilite seviyelerine göre trend analizini özelleştirmesini sağlar.
4. Trend Simülasyonu: Her bir zaman dilimi için trend yönü, Renko tuğlaları ile hesaplanır ve bu trendler grafikte görsel olarak gösterilir. Ayrıca, bu trendlerin uyumlu olup olmadığını anlamak için alım/satım sinyalleri üretilebilir.
5. Al/Sat Sinyalleri: Trend Yönü Simülasyonu, belirli koşullar altında alım ve satım sinyalleri üretebilir. Bu sinyaller, farklı zaman dilimlerinde trendlerin nasıl uyumlu olduğunu ve potansiyel dönüş noktalarını belirlemeye yardımcı olur.
Neden Kullanılmalı:
Bu gösterge, farklı zaman dilimlerinde trendlerin nasıl değiştiğini ve uyumlu olup olmadığını anlamaya yardımcı olur. Yatırımcılar, bu simülasyon ile piyasa trendlerini daha derinlemesine analiz edebilir ve stratejilerini bu trendlere göre optimize edebilirler.
Gösterge 4: RSI ve Uyumsuzluklar
Amaç:
Bu gösterge, RSI (Relative Strength Index) kullanarak piyasa uyumsuzluklarını tespit eder ve grafikte bu uyumsuzlukları gösterir. Uyumsuzluklar, fiyat hareketlerinin momentumunu belirleyerek olası dönüş noktalarını tespit etmeye yardımcı olur.
Nasıl Çalışır:
1. RSI Hesaplama: RSI, klasik fiyat verileri veya Renko tabanlı veriler kullanılarak hesaplanabilir. Bu sayede, farklı piyasa koşullarında RSI'nın nasıl tepki verdiği analiz edilebilir.
2. Uyumsuzluk Tespiti: Gösterge, fiyat ile RSI arasındaki pozitif ve negatif uyumsuzlukları tespit eder. Pozitif uyumsuzluk, fiyat düşerken RSI'nın yükselmesi; negatif uyumsuzluk ise fiyat yükselirken RSI'nın düşmesi olarak tanımlanır.
3. Grafik Üzerinde Gösterim: Uyumsuzluklar, grafikte özel etiketler ve çizgiler ile gösterilir. Bu görsel gösterimler, yatırımcılara potansiyel dönüş noktaları hakkında bilgi verir ve hızlı karar almayı kolaylaştırır.
4. Renk Kodlaması: Gösterge, uyumsuzlukları renk kodlarıyla vurgular. Pozitif uyumsuzluklar yeşil tonlarında, negatif uyumsuzluklar ise kırmızı tonlarında gösterilir.
Neden Kullanılmalı:
RSI ve Uyumsuzluklar göstergesi, yatırımcılara piyasa momentumunu ve olası dönüş noktalarını tespit etme imkanı sunar. Uyumsuzluklar, özellikle trendlerin sona erdiği veya zayıfladığı noktaları belirlemek için kritik öneme sahiptir. Bu gösterge, bu tür sinyalleri görsel olarak vurgulayarak yatırımcıların daha bilinçli kararlar almasına yardımcı olur.
Genel Değerlendirme ve Kullanım Rehberi
Nasıl Kullanılır:
1. Al/Sat Sinyalleri: İlk olarak, Al/Sat Sinyalleri bölümünde kullanmak istediğiniz veri kaynaklarını ve volatilite ölçüm yöntemlerini belirleyin. Zaman dilimini seçin ve grafik üzerinde sinyalleri izleyin. Bu sinyalleri, trendin güçlü olduğu ve volatilitenin uygun seviyede olduğu dönemlerde kullanmak, daha başarılı işlemler yapmanıza yardımcı olabilir.
2. Trend Takibi: Bu bölümde, Renko tabanlı trend analizini kullanarak piyasanın genel yönünü belirleyin. Trend gücü renk kodlamaları ile gösterildiği için, hangi yönde güçlü bir hareket olduğunu hızlıca anlayabilirsiniz. Bu bilgi, mevcut pozisyonlarınızı desteklemek veya yeni pozisyonlar açmak için kullanılabilir.
3. Trend Yönü Simülasyonu: Üç farklı zaman diliminde trendleri analiz edin. Her bir zaman diliminde trendlerin uyumlu olup olmadığını kontrol edin. Eğer trendler arasında uyum varsa, bu, güçlü bir trendin devam ettiğine işaret edebilir. Simülasyondan elde edilen al/sat sinyallerini, stratejinizin bir parçası olarak kullanabilirsiniz.
4. RSI ve Uyumsuzluklar: RSI göstergesini kullanarak fiyat hareketleri ile RSI arasındaki uyumsuzlukları tespit edin. Bu uyumsuzluklar, olası trend dönüşlerini belirlemede kritik rol oynar. Özellikle, negatif uyumsuzluklar yükseliş trendinin sonuna işaret edebilirken, pozitif uyumsuzluklar düşüş trendinin sona erebileceğini gösterir.
Neden Kullanılmalı:
• Çok Yönlü Analiz: Bu gösterge, tek bir platformda dört farklı analiz aracını birleştirerek yatırımcıların daha derinlemesine bir piyasa analizi yapmalarına olanak tanır. Her bir araç, farklı bir stratejik yaklaşım sunar ve bu da göstergenin çok yönlülüğünü artırır.
• Özelleştirilebilir Ayarlar: Göstergenin sunduğu geniş ayar seçenekleri, yatırımcıların kendi stratejilerine uygun kişiselleştirmeler yapmalarına olanak tanır. Bu, farklı piyasa koşullarında esnek ve etkili olmanızı sağlar.
• Görsel Yardımcılar: Grafik üzerinde sağlanan görsel sinyaller, trend yönü, uyumsuzluklar ve al/sat sinyalleri hakkında hızlı ve kolay erişilebilir bilgi sunar. Bu, yatırım kararlarını hızlı ve etkili bir şekilde almanıza yardımcı olur.
• Piyasa Koşullarına Hızlı Adaptasyon: Adaptif hesaplama yöntemleri, piyasa koşullarına hızla uyum sağlayarak doğru ve zamanında sinyaller üretir. Bu da yatırımcıların piyasa dalgalanmalarına karşı daha hazırlıklı olmasını sağlar.
Moderasyon ve Onay Süreci İçin Not:
Bu gösterge, sadece klasik analiz araçlarını birleştirmekle kalmayıp, farklı zaman dilimlerinde ve piyasa koşullarında etkin bir şekilde çalışacak şekilde optimize edilmiştir. Her bir bileşen, göstergeye ek bir değer katmakta ve bu da göstergenin özgünlüğünü ve faydasını artırmaktadır. Yatırımcılara sunduğu geniş özelleştirme seçenekleri ve çok yönlü analiz kabiliyeti, bu göstergeyi sıradan bir birleşimden çok daha fazlası haline getirir.
Önemli Uyarı:
Hiçbir gösterge, algoritma veya strateji piyasaları %100 doğrulukla tahmin edemez. Bu araç, bilinçli kararlar vermenize yardımcı olmak için tasarlanmıştır, ancak yalnızca ticaret için tek temel olarak kullanılmamalıdır. Daima ek analizler ve risk yönetimi stratejileri kullanmayı düşünün. Herhangi bir araca körü körüne bağlı kalmak, önemli finansal kayıplara yol açabilir.
Smoothed SuperTrend with VWAP Confirmation [CHE] Smoothed SuperTrend with Automated Optimization and VWAP Confirmation
Overview
The "Smoothed SuperTrend with VWAP Confirmation" is an advanced technical analysis indicator designed for precise trend identification and trading signal generation. This script integrates a smoothed version of the popular SuperTrend indicator with an additional layer of confirmation using the Volume-Weighted Average Price (VWAP). The combination of these two elements offers traders a powerful tool for identifying optimal entry and exit points in the market.
Key Features
1. Smoothed SuperTrend
- Super Smoother Algorithm: The SuperTrend in this script is not just a regular one; it is enhanced by the Super Smoother filter, which reduces market noise and provides more reliable trend signals.
- Customizable Parameters: Traders can adjust three different sets of SuperTrend parameters (factor and ATR length), allowing them to tailor the indicator to their specific trading strategies.
- Automatic Optimization: The script automatically evaluates the performance of each SuperTrend parameter set and selects the one with the best cumulative performance. This selection process can be set to pick either the best or the worst performing parameter set, depending on the trader's preference.
2. VWAP Confirmation
- Precise Trend Confirmation: Once the best-performing SuperTrend is identified, the script further refines the signals by using VWAP as a confirmation tool. VWAP is a highly respected indicator in the trading community, often used to assess the true average price of an asset.
- Long and Short Signal Generation: The script generates Long and Short signals only when the price action is confirmed by both the SuperTrend and VWAP. For a Long signal, the price must be above the VWAP, and for a Short signal, it must be below the VWAP. This dual confirmation ensures higher accuracy and reduces the likelihood of false signals.
3. Visual and Informative Labels
- Signal Labels: Upon confirmation of a trend reversal by both the SuperTrend and VWAP, the script plots clear labels on the chart, indicating confirmed Long or Short signals. These labels are customizable in terms of color, text, and size, ensuring they fit seamlessly into any chart setup.
- Best Parameters Display: At the close of the most recent bar, the script displays a label that provides detailed information about the best-performing SuperTrend parameters and their cumulative performance. This feature keeps traders informed about which settings are currently most effective.
Input Customization Options
1. Super Smoother Length
- Traders can define the length of the Super Smoother filter, which is used to smooth both price data and ATR (Average True Range) values. This input allows traders to control the sensitivity of the indicator, with shorter lengths providing faster responses and longer lengths offering smoother trends.
2. SuperTrend Parameters
- Factor: For each of the three SuperTrends, traders can set a unique factor that determines the distance of the SuperTrend bands from the average price. A higher factor results in wider bands and fewer signals, while a lower factor results in narrower bands and more signals.
- ATR Length: Traders can also specify the length of the ATR used in each SuperTrend calculation. A longer ATR period captures broader market volatility, while a shorter period focuses on more immediate price movements.
3. Label Settings
- Label Colors: The script allows full customization of label colors for Long and Short signals, ensuring that they match the trader’s chart aesthetics.
- Label Text Colors and Sizes: Traders can adjust the text color and size of the labels for Long, Short, and information labels, allowing them to prioritize visibility and readability on their charts.
4. Performance Selection Mode
- Best or Worst Performer: This input allows traders to select whether the script should optimize for the best or worst performing SuperTrend parameter set. This flexibility is useful in different market conditions, where a trader might want to analyze either the strongest trend or focus on a contrarian strategy.
5. VWAP Calculation
- The script automatically recalculates the VWAP based on trend changes, ensuring that the confirmation signals are as accurate and relevant as possible to the current market context.
Important Note
This script is designed to provide more accurate trend signals and confirmations, but like all technical indicators, it should not be used in isolation. It is recommended to use this tool as part of a broader trading strategy, including proper risk management and consideration of fundamental market conditions.
Conclusion
The "Smoothed SuperTrend with VWAP Confirmation" script is an innovative trading tool that combines the strengths of the SuperTrend and VWAP indicators. By integrating smoothing techniques and automatic parameter optimization, this indicator provides traders with more accurate and reliable trend signals. The added confirmation by VWAP further enhances the precision of the entry and exit points, making it an excellent choice for traders looking to improve their technical analysis and trading outcomes. This tool is especially valuable for those who prefer customizable inputs and a systematic approach to trading, ensuring that the indicator adapts to various market conditions and individual trading styles.
Best regards
Chervolino
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Trend Strength | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Trend Strength indicator! Latest trends and their strengths play an important role for traders. This indicator aims to make trend and strength detection much easier by coloring candlesticks based on the current strength of trend. More info about the process in the "How Does It Work" section.
Features of the new Trend Strength Indicator :
3 Trend Detection Algorithms Combined (RSI, Supertrend & EMA Cross)
Fully Customizable Algorithm
Strength Labels
Customizable Colors For Bullish, Neutral & Bearish Trends
📌 HOW DOES IT WORK ?
This indicator uses three different methods of trend detection and combines them all into one value. First, the RSI is calculated. The RSI outputs a value between 0 & 100, which this indicator maps into -100 <-> 100. Let this value be named RSI. Then, the Supertrend is calculated. Let SPR be -1 if the calculated Supertrend is bearish, and 1 if it's bullish. After that, latest EMA Cross is calculated. This is done by checking the distance between the two EMA's adjusted by the user. Let EMADiff = EMA1 - EMA2. Then EMADiff is mapped from -ATR * 2 <-> ATR * 2 to -100 <-> 100.
Then a Total Strength (TS) is calculated by given formula : RSI * 0.5 + SPR * 0.2 + EMADiff * 0.3
The TS value is between -100 <-> 100, -100 being fully bearish, 0 being true neutral and 100 being fully bullish.
Then the Total Strength is converted into a color adjusted by the user. The candlesticks in the chart will be presented with the calculated color.
If the Labels setting is enabled, each time the trend changes direction a label will appear indicating the new direction. The latest candlestick will always show the current trend with a label.
EMA = Exponential Moving Average
RSI = Relative Strength Index
ATR = Average True Range
🚩 UNIQUENESS
The main point that differentiates this indicator from others is it's simplicity and customization options. The indicator interprets trend and strength detection in it's own way, combining 3 different well-known trend detection methods: RSI, Supertrend & EMA Cross into one simple method. The algorithm is fully customizable and all styling options are adjustable for the user's liking.
⚙️ SETTINGS
1. General Configuration
Detection Length -> This setting determines the amount of candlesticks the indicator will look for trend detection. Higher settings may help the indicator find longer trends, while lower settings will help with finding smaller trends.
Smoothing -> Higher settings will result in longer periods of time required for trend to change direction from bullish to bearish and vice versa.
EMA Lengths -> You can enter two EMA Lengths here, the second one must be longer than the first one. When the shorter one crosses under the longer one, this will be a bearish sign, and if it crosses above it will be a bullish sign for the indicator.
Labels -> Enables / Disables trend strength labels.
Gaussian Weighted Moving Average with Forecast [CHE]Presentation for TradingView: Gaussian Weighted Moving Average with Forecast
Introduction
Welcome to our presentation on the "Gaussian Weighted Moving Average with Forecast" (GWMA). This script, written in Pine Script™, offers an enhanced method for analyzing and predicting price movements on TradingView. The script combines Gaussian Weighted Moving Averages and polynomial regression to provide accurate and customizable forecasts.
Overview
Title: Gaussian Weighted Moving Average with Forecast
Author: chervolino
License: Mozilla Public License 2.0
Main Features
1. Gaussian Weighted Moving Average (GWMA):
- Calculates a weighted moving average using a Gaussian weighting function.
- Parameters for length and standard deviation allow fine-tuning of the smoothing effect.
2. Polynomial Regression with Forecast:
- Creates a model to predict future price movements.
- Adjustable length and degree of polynomial regression.
- Option to extrapolate predictions and visualize them.
3. Visual Representation:
- Uses lines and colors to depict trend changes.
- Customizable colors for upward and downward trends.
Input Parameters
Length: Length of the moving average (default: 50)
Standard Deviation: Standard deviation for Gaussian weighting (default: 10.0)
Width: Width of the plotted lines (default: 1)
Colors: Customizable colors for upward and downward trends
Forecast Length: Length of the forecast period (default: 20)
Extrapolate Length: Length of the extrapolation (default: 50)
Polynomial Degree: Degree of the polynomial regression (default: 3)
Lock Forecast: Option to lock and stabilize the forecast
Core Algorithms
1. Gaussian Weight Calculation:
gaussian_weight(x, std_dev) =>
1 / (std_dev * math.sqrt(2 * math.pi)) * math.exp(-0.5 * math.pow(x / std_dev, 2))
2. GWMA Calculation:
calculate_gwma(length, std_dev) =>
// Algorithm to calculate the weighted moving average
3. Initialize Lines for Polynomial Regression:
initialize_lines_array(extrapolate, length) =>
// Initialize array lines
4. Create Design Matrix for Polynomial Regression:
get_design_matrix(length, degree) =>
// Create the design matrix
5. Calculate and Plot Polynomial Regression:
calculate_polynomial_regression(src, length, degree, extrapolate, lines_arr, lock, width, upward_color, downward_color) =>
// Algorithm to calculate polynomial regression and plot the forecast
Combining Indicators: Originality and Usefulness
The combination of Gaussian Weighted Moving Average and polynomial regression provides traders with a robust tool for trend analysis and prediction. The GWMA smooths out price data while emphasizing recent prices, making it sensitive to short-term trends. Polynomial regression, on the other hand, offers a mathematical approach to model and forecast future prices based on historical data. By integrating these two methodologies, traders can achieve a more comprehensive view of market trends and potential future movements, making the tool highly valuable for decision-making.
Explanation for Users
Most TradingView users are not familiar with Pine Script, so a clear description is essential for understanding how to use the script.
Gaussian Weighted Moving Average (GWMA): This indicator calculates a moving average using Gaussian weights, which gives more importance to recent prices. The length and standard deviation parameters allow users to control the sensitivity and smoothness of the average.
Polynomial Regression with Forecast: This feature uses polynomial regression to model the price trend and predict future movements. Users can adjust the length of the historical data used, the degree of the polynomial, and the length of the forecast. The script plots these predictions, making it easier for traders to visualize potential future price paths.
Visualization of Results
1. GWMA Plotting:
plot(gaussian_ma_result, title="GWMA", color=line_color, linewidth=width_input)
2. Forecast Extrapolation:
plot(forecast_val, 'Extrapolation', offset=extrapolate_setting, linewidth=width_input, style=plot.style_circles)
Conclusion
The "Gaussian Weighted Moving Average with Forecast" script provides a powerful tool for analyzing and predicting price movements on TradingView. By combining Gaussian weighting and polynomial regression, it offers a precise and customizable method for trend analysis and forecasting.
Thank you for your attention! For any questions or further information, please feel free to reach out.
Harmonic Patterns [WinWorld]PREFACE
This indicator was made with the help of our team's fellow friend and harmonic patterns expert, whose support we deeply appreciate — @Muneer_Gove
DESCRIPTION
Harmonic patterns are one the most recognizable and popular trading concepts in the word of trading.
They are distinct formations, found in the financial markets, that predict potential price movements based on Fibonacci ratios. These patterns, which include the Gartley, Bat, Alt Bat, Butterfly and etc., identify specific and repetitive price structures that can forecast future price reversals. By incorporating these patterns into trading process, one does gain an opportunity to profit from repetetitve price movements.
The whole thing about harmonic pattern is the process of finding them. The basic step-by-step guide to build a harmonic pattern is this:
Locate significant highs and lows on the chart, which form the basis of the pattern. The best tools to use for this purple is zigzag, because zigzag indicator draw lines, which will be helpful quite helpful in the process and will save you a lot of time;
Use Fibonacci tools to measure the retracement and extension levels between legs of pattern — distances between pair of points . Each harmonic pattern has specific Fibonacci ratios that define its structure;
Draw lines connecting the pivot points according to the pattern's structure. For example, a Gartley pattern connects five points (X, A, B, C, D) in a specific sequence and ratio;
Ensure that the identified structure adheres to the harmonic pattern’s Fibonacci requirements. If the points align within the acceptable ranges, the pattern is valid.
In order to better understand this process let's see an example of the pattern from our indicator right away:
This is a Butterfly pattern. Its set of retracememt ratios is as follows:
AB/XA = 0.756 to 0.816
BC/AB = 0.382 to 0.990
CD/BC = 1.618 to 2.618
AD/XA = 1.27
Below you can see that each ratio of the pattern is successfully met:
* Note : white lines — ratio range, yellow line — point 's price level in between ranges.
AB/XA Ratio
BC/AB Ratio
CD/BC Ratio
AD/XA Ratio
SETTINGS
Main Settings
Failed Patterns — shows/hides patterns, which meet one of these conditions:
— Price crossed level of point C before reaching PRZ;
— New pattern appeared and PRZ of previous pattern was not reached;
Completed Patterns — shosw/hides patterns, whose PRZ was reached;
Dashboard — shows/hides dashboard, which displays active patterns (patterns, which can be used to trade).
Alert Settings
PRZ — enables/disables alert of event, when price reaches PRZ.
ZigZag Settings
Depth #1-9 — shows/hides patterns of the chosen zigzag copy. Here you can choose customize depth number.
Pattern Visual Controls
Bullish Patterns — shows/hides bullish patterns;
Bearish Patterns — shows/hides bearish patterns;
Pending Patterns — shows/hides patterns, whose PRZ has not been reached yet;
list of pattern names — hides/shows chosen pattern.
Colours
Bullish — colour of bullish patterns;
Bearish — colour of bearish patterns.
IMPORTANT CONCEPTS
PRZ — entry target level.
If its text near the line level is purple, it means that PRZ has NOT been reached yet.
If it is white, it means that PRZ has been reached.
In order for SL or TP to be counted when price reaches, price has to reach PRZ first with its high/low.
SL — stop-loss.
If its near the line level is red, it means that SL has NOT been reached yet.
If it is white, it means that SL has been reached.
If it is gray, it means that SL has been invalidated — price crossed with high/low the level of point C before reaching PRZ.
If SL is reached and price reaches TP targets, they will be counted.
SL of each pattern are built by individual ratio. For example, in Butterfly pattern SL ratio is 1.414 and it is calculated as (SL - A)/XA.
IMPORTANT NOTE : SL is reached when price crosses SL level with candle's close (!)
TP — take-profit.
If its near the line level is green, it means that TP has NOT been reached yet.
If it is white, it means that TP has been reached.
If one of the TP targets is reached and price reached SL, it will not be counted.
IMPORTANT NOTE : TP is reached when price crosses TP level with candle's high/low(!)
TP of each pattern are built by same the ratios for all patterns, but it is calculated by individual algorithm. For example, in the same Butterfly pattern TP ratio will be 0.382, 0.500 and 0.618 and they will be placed as Fibonacci retracement grid from point A to point D ( same for formula for all other patterns, excluding the ones listed next ), BUT on Shark , Muner and AB=CD pattern the same TP will be placed as Fibonacci retracement grid from point C to point D
WHY USE THIS INDICATOR?
Our Harmic Patterns indicator uses zigzag, which is based on depth mechanic. In order to identify the maximum possible amount of patterns this indicator runs 9 copies of the same zigzags with different depth values. Each copy of zigzag can be turned off in the settings individually.
At the moment of publishing, this indicator can autmatically identify 10 patterns:
Crab
Deep Crab
Gartley
Deep Gartley
Bat
Alt Bat
Muner
Butterfly
Shark
AB=CD
Things, that make this indicator different from other harmonic pattern indicator, are:
Advanced pattern recognition and validation process. We have implemeted special logic, which allows the indicator to draw fully accurate patterns, which satisfy industry standards.
For example, let's say we have a bearish pattern. We take points X an A. If there is a price's high, that is above X point's high, such pattern should be automatically invalidated. We have found even one indicator that does perform such validation process, and our indicator does that. . And this is just one example, we have much of such mechanics implemeted thanks to Mr. Muner's knowledge.
Advanced pattern extension mechanics . Right this mechanic applies to only one pattern — Shark. Its classic CD/BC ratio is 0.886, but when price moves in a way so this ratio now equals to 1.13, this signal the indicator to redraw the pattern, based on this new CD/BC ratio. We haven't found any indicator on the market that has such mechanic implemented.
Dashboard for displaying active patterns . On this dashboard you can find patterns, whose SL and TP have not been touched yet. If price touches the SL or TP of the pattern, this pattern is removed from the dashboard, because it is considered finished.
At the moment of publishing this dashboard only shows the patterns from the current timeframe.
Informative alert when price reaches PRZ of the pattern . Many other indicator do not provide details of this event, which requires trader to waste his time on opening up the chart and searching for this event. Our indicator allows trader to see the PRZ price right when alert happens and open up the trade much fastr.
Alert message is made by this template:
, : PRZ was reached at on
Example:
BTCUSDT, long Bat: PRZ was reached at 70,000 on 15m.
ALERTS
At the moment of publishing this indicator offers one alert, which happens when price reaches PRZ level.
HOW CAN I GET THE MOST OUT OF THIS INDICATOR?
This indicator can act as the standalone tool, because PRZ, TP and SL are assigned to each pattern and tracked during the pattern's life period.
You can this indicator with any other strategy or indicator, because this indicator is basically a tool that shows the trader repetitive price formations, after which price tends to go a certaion direction in the most cases, allowing trader to profit from it.
You can try combining Harmonic Patterns indicator with Smart Money tools, made by our team, because Smart Money strategies basically show the most liquid price zones and levels, which can be used to find an entry opportunity and Harmonic Patterns indicator can be added to make a final decision on the entry.
If you are interested in trying these two strategies together, feel free to learn Smart Money trading strategy by reading our Advanced SMC guide, which is available in our eductional materials.
SUMMARY
Harmonic Patterns indicator is an advanced tool of technical analysis, which automatically finds 10 most used harmonic patterns on the chart, assign PRZ, TP and SL targets to them and tracks them during each pattern 'life period'.
While searching for these patterns, this indicator performs series of validation techniques, that allow trader to see only the most valid patterns, which have a higher changes to succeed.
This indicator can be used both as a standalone tool and as 'team player' for any stategy by being the tool, which can be used for making a final decision on an entry target.
AFTERWORD
This indicator has been developed for more than 2 weeks, which consisted of everyday discussions, bug fixes and special additons to the algorithm in order to making patterns more valid, so we really hope you will find a great use of this indicator and it will help you recude time on the analysis and boost your profits :)
We want to express our gratitude to @Muneer_Gove once again, because he has done huge job helping us fine-tuning the algorithm, building complex pattern validatiom and extension logic and fixing bugs. Thank you!
Best of luck , traders!
— with love, WinWorld Team
Day trading volume based levels by VhatkarThis script identifies dynamic support and resistance levels based on volume and price action analysis. It uses a unique algorithm that combines volume force calculations with pivot points to determine key levels where price is likely to react.
Originality and Usefulness :
Innovative Volume Force Calculation : The script calculates upforce and downforce based on volume and price movement, providing a novel insight into buying and selling pressure. Unlike traditional volume indicators, this approach offers a more nuanced understanding of market dynamics.
Dynamic Pivot Points : Pivot points are dynamically adjusted based on volume force and highest high calculations, unlike conventional static pivot points. This makes the levels more responsive to real-time market conditions, offering traders a competitive edge.
Adaptive Target Levels : The script sets target and stop prices for both long and short positions, with adjustable percentages based on the chosen timeframe. This feature is particularly useful for day traders looking for precise entry and exit points.
Unique Timeframe Adjustments : The script includes specific adjustments for different timeframes (e.g., 15m, 30m, 60m), optimizing the support and resistance levels for day trading strategies. This adaptability is not commonly found in existing open-source scripts.
Volume-Weighted Adjustments : The integration of VWAP (Volume-Weighted Average Price) into the volume force calculation adds an extra layer of accuracy, helping traders make more informed decisions.
Comprehensive Visual Representation : The script offers clear visual plots of entry, target, and stop levels, along with color-coded fill areas that indicate different target zones. This visual clarity enhances user experience and decision-making.
Unique Features Compared to Open-Source Scripts :
Advanced Volume Force Algorithm : While many open-source scripts rely solely on price action or basic volume indicators, this script integrates a sophisticated volume force algorithm. This unique approach allows traders to identify more accurate support and resistance levels based on real market activity.
Dynamic and Adaptive Pivot Points : Unlike traditional open-source scripts that use static pivot points, this script dynamically adjusts pivot points based on the highest high and volume force. This dynamic adjustment provides a more precise and adaptable analysis suitable for various market conditions.
Integrated VWAP Calculation : Incorporating VWAP into volume force calculations adds an extra dimension of accuracy, allowing for more reliable trading signals. This feature differentiates the script from simpler open-source alternatives that may not include such advanced calculations.
How to Use :
Apply the Script : Add the "Vhatkar Dynamic S/R Levels" script to your chart. Make sure your chart has volume data as the script relies on volume calculations.
Select Timeframe : The script is designed for day trading timeframes such as 5m, 15m, and 30m. Ensure you are using one of these timeframes for optimal performance.
Adjust Parameters :
Target Lines : Set the number of target lines using the SLRange input. Increase the count if fewer lines are visible or decrease if too many lines are cluttering the chart.
Interpreting Signals :
Long Entries : When the close price is above the pivot point, the script plots potential long entry points and target levels (TP1, TP2, TP3) as well as a stop-loss level.
Short Entries : When the close price is below the pivot point, the script plots potential short entry points and target levels (TP1, TP2, TP3) as well as a stop-loss level.
Visual Aids : Use the color-coded fill areas to quickly identify target zones and stop levels.
Trade Management : Utilize the plotted entry, target, and stop levels to manage your trades. Adjust your trading strategy based on the levels provided by the script.
Usage :
Designed for day trading on timeframes such as 5m, 15m, and 30m.
Provides clear visual plots of entry, target, and stop levels.
Offers flexibility with adjustable parameters to suit different trading styles.
SMC Community [algoat] — Smart Money ConceptsEmpower your trading with the core principles of the Smart Money Concepts through interactive features and highly customizable settings.
The indicator's strength lies in the unique SMC Core algorithm, a calculation based on real price action data, capturing every tick from small intraday fluctuations to significant high timeframe movements.
algoat SMC Core is our continually evolving, specialized structure mapping algorithm, serving as the backbone of our price action related publications.
⭐ Key Features
Swing Market Structure: Change of Character, Break of Structure
Recognize and visualize real-time market structures with swing elements. Identify and mark key structural changes in the market to visually highlight shifts in market trends and patterns. This feature is designed to alert you to significant changes in the market's behavior, signaling a potential shift from accumulation to distribution phases, or vice versa. It helps traders adapt their strategies based on evolving market dynamics.
Order Flow: Structure Fractal
Connect the successive structural high and low levels, visualizing the intricate flow of market movements. This feature highlights fractal structures within the market, enabling traders to detect significant price action patterns.
Structure Range: Determine Discount, Premium, and Equilibrium Zones
This feature provides a unique way of visualizing price areas where a security could be overbought or oversold (premium or discount zones) and where the price is expected to be fair and balanced (equilibrium zone). Distance from the current price is displayed in percentage terms, which can assist traders with crucial data for risk management and strategic planning. The Range function helps you identify the most favorable price zones for entries and set your stop-loss and take-profit levels more accurately.
Liquidity Grabs: Reveal Hidden Manipulation Attempts
Identify uncovered market areas where high liquidity trading may take place. Liquidity Grabs help track "smart money" footprints by identifying levels where large institutional traders may have induced liquidity traps. Understanding these traps can aid in avoiding false market moves and optimizing trade entries.
Institutional Interest Zones: Order Blocks and Fair Value Gaps
Uncover areas where bigger orders may be lined up. Reveal zones of interest ordered by volume strength. Receive warnings about market price imbalances.
▸ Order Blocks pinpoint crucial zones where large institutional investors ("smart money") have shown strong buying or selling interest recently. These blocks can serve as a tool for identifying key areas for potential trade entries or exits.
▸ Fair Value Gaps detect discrepancies between the perceived market value and the actual market price, revealing potential areas for price correction. With its mitigation settings, you can fine-tune the FVG detection according to the magnitude of value misalignment you consider significant.
Mitigation types dictate how price interacts with a zone, with order blocks requiring a close through (indicating stronger price movement) and fair value gaps requiring a wick through (hinting at weak rejection).
══════════════════
⭐ Why SMC?
In the ever-evolving trading landscape, mainstream methods and strategies can quickly become outdated as they are widely adopted. Liquidity is constantly sought after, and the best source for this is exploring and exploiting trading strategies that are widely accepted and applied. Currently, one of these strategies is the SMC (Supply, Demand, and Price Action).
It's no coincidence that our educational materials incorporate concepts such as liquidity grabs (LG) and Smart Money Traps (SMT). As the application of SMC gains popularity among retail traders, trading with this approach becomes more challenging. Therefore, the recent focus has been on reforming the SMC methodology, as it is the only method that relies on real price movements and will always work when applied correctly.
The indicator reflects our personal use and deep comprehension of Smart Money Concepts. It provides streamlined tools for tracking algorithmic trends with modern visualizations, without unnecessary clutter.
▸ What does the proper application of SMC entail?
Many SMC traders associate their key areas of interest with the market structure, which is generally considered acceptable. However, depending solely on a single foundation can lead to significant deviations, which may cause notable impacts on trading results. Moreover, if the basis for the market structure calculation is inaccurate, the consequences can be even more severe. It's akin to risking money on a lottery ticket, believing it will be a winner.
Our methodology is different, and it may ensure longevity in the financial markets. The structure remains crucial, but it is not the sole foundation of everything; instead, it serves as a validation tool. Each calculation, such as order blocks (OB), Fair Value Gaps (FVG), liquidity grabs (LG), range analysis, and more, is independent and unique, separate from the structure. However, validation must ultimately come from the structure itself.
We employ individual and high-quality filters: before a function calculation is validated by the structure, it must undergo rigorous testing based on its own set of validation conditions. This approach aims to enhance robustness and accuracy, providing traders with a reliable framework for making informed trading decisions.
▸ An example of structure validation: Order Block with "Swing Sensitivity"
These order blocks will only be displayed and utilized by the script if there is a swing structure validation with a valid break. In other words, the presence of a confirmed swing Change of Character (ChoCh) or Break of Structure (BoS) is essential for the Order Block to be considered valid and relevant.
This approach ensures that the order blocks are aligned with the overall market structure and are not based on isolated or unreliable price movements. Whether it's Fair Value Gaps (FVG), Liquidity Grabs (LG), Range calculations, or other functionalities, the same underlying principle holds true. The background structure calculation serves as a validation mechanism for the data and insights generated by these functions, ensuring they adhere to the specific criteria and rules established within our methodology. By incorporating this robust validation process, traders can have confidence in the reliability and accuracy of the information provided by the indicator, allowing them to make informed trading decisions based on validated data and analysis.
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👉 Usage - the general approach
Determine your trading style and build your basic strategy:
The indicator helps you understand your trading style, whether it's swing trading, scalping or another approach. By analyzing the SMC indicator, you gain valuable information about potential market trends, entry and exit points, and overall market sentiment.
Steps:
Identify Trading Style: Determine whether you are a swing trader, scalper, or long-term investor. This will influence how you use the indicator.
Analyze Market Trends: Use the SMC indicator to observe market trends and identify potential entry and exit points.
Adapt Strategies: Adjust your strategies based on the market dynamics revealed by the SMC indicator, such as changes in order flow or market structure.
👉 Example of usage
In the following chart, you'll notice how we've utilized the indicator to formulate a strategic trading approach. We've employed Order Blocks equipped with volume parameters to identify crucial market zones. Simultaneously, we've leveraged swing/internal market structures to gain insights into potential long- and short-term market turnarounds. Lastly, we've examined trend line liquidity zones to pinpoint probable impulses and breakouts within ongoing trends.
Now we can see how the price descended to the order block with the highest volume, which we had previously marked as our point of interest for an entry. As the price closed below the median Order Block, we noted its mitigation. After an internal CHoCH, it's directing us towards the main Order Block as a target.
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🧠 General advice
Trading effectively requires a range of techniques, experience, and expertise. From technical analysis to market fundamentals, traders must navigate multiple factors, including market sentiment and economic conditions. However, traders often find themselves overwhelmed by market noise, making it challenging to filter out distractions and make informed decisions. By integrating multiple analytical approaches, traders can tailor their strategies to fit their unique trading styles and objectives.
Confirming signals with other indicators
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators
Integrate this indicator with other technical indicators to develop a comprehensive trading strategy and provide additional confirmation.
Conduct Thorough Research and Backtesting
Ensure a solid understanding of the indicator and its behavior through thorough research and backtesting before making trading decisions. Consider incorporating fundamental analysis and market sentiment into your trading approach.
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⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. A word to the wise is enough: developed by traders, for traders — pioneering innovations for the modern era.
Risk Notice
Everything provided by algoat — from scripts, tools, and articles to educational materials — is intended solely for educational and informational purposes. Past performance does not assure future returns.
3 MA Strategy [Projeadam] OVERVIEW:
3 MA Strategy indicator displays and analyzes three types of moving averages (MAs) on a price chart. The primary function of this indicator is to identify buy and sell signals based on the crossover and crossunder events of the specified moving averages. It provides extensive customization options for the types and settings of the moving averages, and it can visualize these signals on the chart through labels and background colors.
Algorithm:
1. Initialization and Function Definition
• Define the ma_function to calculate different types of moving averages (EMA, SMA, RMA, WMA) based on user inputs.
2. Inputs and Moving Average Calculation
• Gather user inputs for three moving averages, including length, source, line width, color, and type.
• Calculate the values for the three moving averages using the ma_function.
3. Plotting Moving Averages
• Plot the calculated moving averages on the chart with the specified settings.
4. Buy and Sell Conditions
• Establish initial buy and sell conditions based on the crossover and crossunder of the first two moving averages.
• Adjust these conditions if the third moving average is enabled, considering its relationship with the close price.
5. Signal Control Logic
• Use variables (last_buy, last_sell, sinyal_control) to manage the signal generation process, ensuring a buy signal is followed by a sell signal and vice versa.
6. Signal Label and Background
• Add labels and background colors to the chart based on the generated signals if the respective settings are enabled.
7. Plotting Additional Information
• If the third moving average is enabled and the label_show_price setting is active, plot additional lines and labels to indicate the position of the moving average.
8. Alerts
• Set up alert conditions to notify the user when buy or sell conditions are met.
How Does the Indicator Work?
Moving Average Calculation
• The script calculates three different moving averages using the user-defined settings. Each moving average can be an EMA, SMA, RMA, or WMA and is calculated using the specified length and source.
Signal Generation
• Buy signals are generated when the first moving average crosses above the second moving average. If the third moving average is enabled, the close price must also be above the third moving average for a buy signal.
• Sell signals are generated when the first moving average crosses below the second moving average. If the third moving average is enabled, the close price must also be below the third moving average for a sell signal.
Visualization
• The moving averages are plotted on the chart with the colors and line widths specified by the user.
• Buy and sell signals are indicated by labels ('BUY' for buy signals, 'SELL' for sell signals) and optionally by changing the background color of the chart.
Alerts
• Alerts are set up to notify the user of buy or sell signals, as well as when either condition is met.
Settings Panel
MOVING AVERAGE SETTINGS 1 (BUY - SELL)
• Length: Length of the first moving average.
• Source: Source of the first moving average (e.g., close, open).
• Line Width: Line width of the first moving average.
• Color: Color of the first moving average.
• Moving Average Type: Type of the first moving average (EMA, SMA, RMA, WMA).
MOVING AVERAGE SETTINGS 2 (BUY - SELL)
• Length: Length of the second moving average.
• Source: Source of the second moving average.
• Line Width: Line width of the second moving average.
• Color: Color of the second moving average.
• Moving Average Type: Type of the second moving average (EMA, SMA, RMA, WMA).
FINAL MOVING AVERAGE SETTINGS
• Enable 3rd Average?: Toggle to activate the third moving average.
• Length: Length of the third moving average.
• Source: Source of the third moving average.
• Line Width: Line width of the third moving average.
• Color: Color of the third moving average.
• Moving Average Type: Type of the third moving average (EMA, SMA, RMA, WMA).
BUY - SELL SETTINGS
• Enable Background?: Toggle to activate background color changes based on signals.
• Enable Signal Labels?: Toggle to activate signal labels.
• Enable Price Labels?: Toggle to activate price labels.
• Sell Background: Background color for sell signals.
• Buy Background: Background color for buy signals.
Benefits of the 3 MA Indicator
1. Versatility and Customization
• The indicator supports multiple types of moving averages (EMA, SMA, RMA, WMA), allowing users to choose the one that best fits their trading strategy.
• Users can customize the length, source, line width, and color of each moving average, providing flexibility to tailor the indicator to their preferences.
2. Comprehensive Signal Generation
• The indicator generates clear buy and sell signals based on the crossover and crossunder events of the moving averages. This helps traders make informed decisions about entry and exit points.
• It includes an optional third moving average to filter signals, potentially reducing false signals and improving accuracy.
3. Visual Aids for Better Decision Making
• The indicator plots the moving averages on the chart, making it easy for traders to visualize trends and market conditions.
• Signal labels ('BUY' and 'SELL') are displayed on the chart, providing immediate visual cues for trading actions.
• The background color changes based on the signals, adding another layer of visual confirmation for traders.
4. Alert Notifications
• The indicator includes alert conditions for buy and sell signals, as well as a combined alert for either condition. This ensures that traders are notified in real-time when a signal is generated, allowing for timely action.
5. Historical Analysis
• By plotting moving averages and signals on the chart, traders can conduct historical analysis to see how the indicator would have performed in the past. This can help in evaluating the effectiveness of the trading strategy.
6. Enhanced Trading Confidence
• The use of multiple moving averages and customizable settings can enhance a trader's confidence in their trading decisions. By relying on objective criteria for signals, traders can reduce emotional trading and adhere to a disciplined approach.
7. Improved Market Understanding
• The indicator helps traders understand market trends and momentum by analyzing the relationships between different moving averages. This can lead to a deeper insight into market behavior and better trading strategies.
8. Ease of Use
• The indicator is straightforward to implement and use within TradingView, making it accessible to traders of all experience levels. The customizable settings panel ensures that even novice traders can set it up according to their needs.
Quarterly DFR [Dango]Introducing the Defining Range Indicator, a powerful tool designed to help traders identify and understand the important levels of highs, lows, and equilibrium within a selected quarterly cycle. This innovative script provides valuable insights into the key price levels that are likely to elicit a strong reaction in the market, enabling traders to make more informed decisions and enhance their trading strategies.
Key Features:
Identifies and displays the defining high, low, and equilibrium levels based on the selected quarterly cycle
Utilizes advanced algorithms to analyze price action and determine the most significant levels
Provides a visual representation of the defining range on the chart, making it easy for traders to identify potential support, resistance, and pivot points
Enables traders to backtest and understand how price has reacted to these levels in the past
How It Works:
The Defining Range Indicator employs a sophisticated algorithm to analyze price action within the selected quarterly cycle. By examining the price behavior and patterns within this timeframe, the script determines the most significant high, low, and equilibrium levels that are likely to influence future price movements.
The indicator takes into account various factors, such as price momentum, volatility, and volume, to identify the key levels that define the range. These levels are then visually represented on the chart, providing traders with a clear picture of the important price points to watch.
The Defining Range Indicator works in the following steps:
Quarterly Cycle Selection: Traders select the desired quarterly cycle timeframe (90-minute, daily, weekly, monthly, or yearly) to focus the analysis on.
High and Low Identification: The script analyzes the price action within the selected quarterly cycle to determine the most significant high and low points. These levels are considered the defining high and low of the range.
Equilibrium Calculation: The indicator calculates the equilibrium level, which represents the midpoint between the defining high and low. This level is considered a potential pivot point where price may find balance or reverse direction.
Visual Representation: The defining high, low, and equilibrium levels are plotted on the chart, providing traders with a clear visual representation of the key price levels to monitor.
Expected Usage:
The Defining Range Indicator is designed to help traders gain a better understanding of the important price levels within a selected quarterly cycle. By identifying the defining high, low, and equilibrium, traders can make more informed decisions and enhance their trading strategies.
Support and Resistance Identification: The defining high and low levels act as potential support and resistance areas. Traders can use these levels to plan their trades, set entry and exit points, and manage risk effectively.
Pivot Point Trading: The equilibrium level represents a potential pivot point where price may find balance or change direction. Traders can watch for price behavior around this level to identify potential trading opportunities.
Backtesting and Historical Analysis: The Defining Range Indicator enables traders to backtest their strategies and understand how price has reacted to the defining levels in the past. By analyzing historical price action, traders can gain valuable insights into the effectiveness of their trading approach and make necessary adjustments.
Confluence and Confirmation: Traders can use the Defining Range Indicator in conjunction with other technical analysis tools, such as the Quarterly High and Low Indicator or the Quarterly Cycles Indicator, to confirm trade setups and increase confidence in their trading decisions.
Risk Management: By understanding the location of the defining high, low, and equilibrium levels, traders can make more informed decisions about stop-loss placement and position sizing. Setting stop-losses beyond these key levels can help mitigate the risk of getting stopped out prematurely due to short-term price fluctuations.
Limitations and Disclaimer:
While the Defining Range Indicator is a valuable tool, it should not be used in isolation. Traders should combine the insights gained from this indicator with other forms of analysis, risk management, and sound trading psychology to develop a well-rounded and effective trading approach.
Please note that the indicator's accuracy may be impacted by extreme market volatility or unusual events, and the defining levels should not be relied upon in isolation. As with any trading tool, individual results may vary, and past performance does not guarantee future outcomes. Traders should always exercise caution, use appropriate risk management techniques, and continuously educate themselves to adapt to changing market conditions.
This indicator is provided for educational purposes only and should not be considered financial advice. Always conduct your own due diligence and consult with a financial professional before making any trading decisions.
Privacy of Code:
The underlying logic and specific calculations used in the Defining Range Indicator's algorithm are proprietary and not disclosed to protect the intellectual property of the script. The methods used to identify the defining high, low, and equilibrium levels are the result of extensive research, testing, and refinement. By keeping these details confidential, the script maintains its competitive edge and ensures the protection of its intellectual property.
To be Used in Pair with Quarterly Cycle Indicator
Harmonic Patterns ScannerHello Traders!
The Harmonic Patterns Scanner takes the time-consuming search for harmonic patterns completely off your hands. This indicator utilizes a unique swing-based pattern recognition to pinpoint 14 different bullish and bearish harmonic patterns in real-time with unparalleled precision.
The Harmonic Patterns Scanner is designed to operate in a fully automated manner, detecting harmonic patterns in real-time across the symbol and timeframe that you select. It grants you the ability to simultaneously scan for patterns across as many as 20 distinct symbols.
Pattern List (each pattern has a bullish and a bearish version)
Gartley
Bat
Butterfly
Crab
Cypher
Shark
5-0
Feature List
Automatic real-time pattern detection
7 different built-in breakout conditions
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The value of this indicator is to support traders to easily identify harmonic patterns. The trader saves a lot of time scanning the markets for harmonic patterns, since finding the pattern and alerting for a breakout is done automatically for the trader.
For a visualization of the detected patterns, you can add the TRN Harmonic Patterns Suite indicator to your chart.
How does TRN Harmonics Scanner work?
On the right side of the chart, you can find a table displaying the symbols monitored by our scanner for pattern and breakout detection. The table is divided into bullish and bearish patterns and provides information on the status of each symbol.
UP – Upside Breakout
DN – Downside Breakout
UP CONF – Upside Breakout confirmed
DN CONF – Downside Breakout confirmed
FAILED – Pattern failed to get confirmed
If a pattern is in the making or already got confirmed, the scanner displays the name of the harmonic pattern in the table.
The scanner operates specifically on the timeframe you have selected in TradingView, ensuring that the detected patterns and breakouts align precisely with your trading perspective. If the scanner displays a pattern or a breakout, you just can switch to this instrument and start trading it if you like what you see.
Follow these instructions to discover how you can utilize the scanner for seamless and simplified chart pattern detection like never before:
Add Symbols
Go to indicator settings and scroll down to the "Symbols" section. The enabled symbols can be recognized by the check marks. Click on one of them and use the search function to add the symbol of your choice to the scanner. You can search for up to 20 different symbols at the same time.
Use Alerts (Optional but Recommended)
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is
1. in the making (Pattern active),
2. confirms an up breakout (B/O Up Confirmed)
3. confirms a down breakout (B/O Down Confirmed)
4. (Unconfirmed) in case a pattern breakout occurs, even if the pattern is not yet confirmed
This allows you to stay informed about potential breakout opportunities.
Customization and settings
The indicator can scan for smaller and larger patterns. Adjust the harmonics size in the indicator settings to align them with your preferences. A larger size results in larger patterns. Depending on the asset class, the market or the market phase, different sizes can be used for pattern detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss.
Breakout Conditions
Identifying breakout conditions is paramount for successfully profiting on chart patterns. Trading tools equipped with diverse breakout conditions offer traders a comprehensive approach to deciphering market trends and making informed decisions.
This section delves into the set of breakout conditions built within the Harmonic Pattern Scanner, exploring their functionalities, applications, and the benefits they provide in the realm of chart pattern recognition.
TRN Bars Signal + Trend
The Harmonic Pattern Scanner includes also the TRN Bars algorithm. It is designed to spot bullish and bearish trends and reversals. The trend analysis is based on a new algorithm that weights several different inputs:
1. classical and advanced bar patterns and their statistical frequency
2. probability distributions of price expansions after certain bar patterns
3. bar information such as wick length in %, overlapping of the previous bar in % and many more
4. historical trend and consolidation analysis
If you use this breakout condition, the breakout is determined by the next signal (reversal, continuation, breakout) or trend change of the TRN bars after one of the harmonic patterns has been completed. These Breakout conditions give you the accurate trend recognition of the TRN Bars to find the perfect entry.
TRN Bars Signal
If a harmonic pattern gets completed and you use this breakout condition, the breakout will be determined by the next confirmed signal (reversal, continuation, breakout) of the TRN Bars. These Breakout Condition delivers signals with reenforced reliability, but they occur not as often as other breakout conditions.
RSI Crossing
With this breakout condition, a breakout for a long position gets determined, when the RSI line crosses above the RSI moving average (MA) after one of the harmonic patterns has been completed. A bearish breakout after a completed harmonic pattern gets determined, when the RSI line crosses below the RSI MA.
You can choose your preferred RSI and MA length in the indicator settings under the “Trade Management” section.
MACD Crossing
If a harmonic pattern gets completed and you use this breakout condition, the breakout gets determined, when the MACD line crosses above the signal line (bullish MACD crossover) for a bullish breakout. Conversely, when the MACD line crosses below the signal line (bearish MACD crossover), a bearish breakout gets determined after a harmonic pattern was completed.
You can choose your preferred MACD length in the indicator settings under the “Trade Management” section.
Swing Flip
Use this breakout condition, if you want a breakout to get determined when the next swing after point D gets detected by the build in swing detection algorithm of TRN Harmonics.
Close Below/Above Last 2 Lows/Highs
With this breakout condition, a breakout for a short position gets determined, if a close below the lows of the last 2 bars gets detected. For a long position, the breakout gets determined if a close above the highs of the last 2 bars gets detected.
Close Below/Above Last 3 Lows/Highs
In this scenario, a short position breakout is confirmed if the price closes below the lows of the previous 3 bars. Conversely, a long position breakout is confirmed if the price closes above the highs of the last 3 bars.
How To Setup Breakout Conditions
Go to indicator settings and choose one of our built-in breakout conditions under the section "Trade Management" of the menu item "Inputs", like for example TRN Bars Signal + Trend. A selection of 7 distinct breakout conditions is at your disposal.
Computation Details
The real-time detection of the harmonic patterns utilizes a unique swing-based pattern recognition. The difference to other swing-based computations is that the pivot points are identified without a look-ahead value. The result is a faster and better real-time detection. The tolerance level unites several internal parameters into one and results in a user-friendly setting.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
Harmonic Patterns SuiteHello Traders!
This indicator takes the time-consuming search for harmonic patterns completely off your hands. TRN Harmonics utilizes a unique swing-based pattern recognition to pinpoint 14 different harmonic patterns in real-time with unparalleled precision.
Pattern List (each pattern has a bullish and a bearish version)
Gartley
Bat
Butterfly
Crab
Cypher
Shark
5-0
Feature List
Real-time harmonic pattern detection
7 different built-in breakout conditions
Visualization of entry, stop-loss and take-profit levels
Pattern performance statistics
Calculation of risk-rewards ratio
Risk Management
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The value of this indicator is to support traders to easily identify harmonic patterns in an automated way. The special swing-based pattern recognition and the numerous built-in premium features make this indicator unique. The trader saves a lot of time scanning the markets for harmonic patterns, since everything is done automatically for the trader: Finding the pattern, looking and alerting for a breakout, computing the entry, stop loss and take profit levels as well as handling the risk management and computing the optimal order quantity.
How to Trade with the Harmonic Patterns Suite
Identify the Pattern
Add the Harmonic Patterns Suite to your chart and look for patterns on the asset and timeframe of your choice. The patterns are detected in real-time. If a pattern develops further in the next bars, then the indicator updates the pattern accordingly until a breakout is confirmed or the pattern becomes invalid.
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is
1. in the making (Pattern active),
2. confirms an up breakout (B/O Up Confirmed)
3. confirms a down breakout (B/O Down Confirmed)
4. (Unconfirmed) in case a pattern breakout occurs, even if the pattern is not yet confirmed
This allows you to stay informed about potential breakout opportunities that are still awaiting confirmation.
Check Pattern Statistics
The pattern statistics make it easy for you to see how successful a pattern is on the asset and timeframe you are watching. You should always check the statistics before entering a trade. The chart displays the statistics in the upper right corner. These statistics are categorized into two sections: "long" for patterns with an upward breakout and "short" for patterns with a downward breakout.
In the initial columns, labeled as "short" and "long", the identified breakouts are further divided based on the different harmonic patterns. The following columns represent the count of the events:
1. Occ. (Occurrence) categorized according to the values of R from the first column
2. TP1, TP2 (Take Profit) - targets 1 und 2
3. SL (Stop Loss)
4. T/O (Time Out) - neither stop loss or targets where hit in a certain amount of time
Breakout – Entry, Stop Loss and Targets
The indicator automatically displays the entry price line (EP) in grey at the point where the breakout got detected. Once a breakout has been confirmed, place a buy order near the EP level for a long position, or a sell order for a short position. Set your stop-loss at the price level of the red stop-loss line (SL) and set your take-profits at the price level of the green take-profit-lines (TP1, TP2).
Risk Management
The Harmonic Patterns Suite comes with a built-in risk management feature. Just go to the settings and scroll down to the section "Risk Management". Here you can enter your Account Size and the percentage you want to Risk when you enter a position after a pattern breakout.
In the "Trade Management" section, you have the option to define the minimum accepted risk-reward ratio for confirmed harmonic patterns. This means that breakouts of patterns failing to meet the minimum risk-reward ratio will not be considered as confirmed signals. If a breakout gets confirmed, the indicator automatically calculates the position size (Quantity). You can read the quantity from the gray entry point line (EP), which is located to the right of the risk-reward ratio (R). Note that your risk-reward ratio (R) is calculated based on TP1.
Customization and settings
The indicator can scan for smaller and larger patterns at the same time. Adjust the harmonics size in the indicator settings to align them with your preferences. A larger size results in larger consolidations. Depending on the asset class, the market or the market phase, different sizes can be used for pattern detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss. Look for a tolerance level that leads to favorable statistics and focus on trading patterns with a proven performance history.
Finally, you have the flexibility to customize various visual elements, such as the color of the pattern and whether to display values like price, target, or risk-reward ratio on your chart. You can also choose where these values appear.
Breakout Conditions
Identifying breakout conditions is paramount for successfully recognizing and capitalizing on chart patterns. Trading tools equipped with diverse breakout conditions offer traders a comprehensive approach to deciphering market trends and making informed decisions.
This section delves into the set of breakout conditions built within TRN Harmonics, exploring their functionalities, applications, and the benefits they provide in the realm of chart pattern recognition.
TRN Bars Signal + Trend
The Harmonics Pattern Suite includes also the TRN Bars algorithm. It is designed to spot bullish and bearish trends and reversals. The trend analysis is based on a new algorithm that weights several different inputs:
1. classical and advanced bar patterns and their statistical frequency
2. probability distributions of price expansions after certain bar patterns
3. bar information such as wick length in %, overlapping of the previous bar in % and many more
4. historical trend and consolidation analysis
If you use this breakout condition, the breakout is determined by the next signal (reversal, continuation, breakout) or trend change of the TRN bars after one of the harmonic patterns has been completed. These Breakout conditions give you the accurate trend recognition of the TRN Bars to find the perfect entry.
TRN Bars Signal
If a harmonic pattern gets completed and you use this breakout condition, the breakout will be determined by the next confirmed signal (reversal, continuation, breakout) of the TRN Bars. These Breakout Condition delivers signals with reenforced reliability, but they occur not as often as other breakout conditions.
RSI Crossing
With this breakout condition, a breakout for a long position gets determined, when the RSI line crosses above the RSI moving average (MA) after one of the harmonic patterns has been completed. A bearish breakout after a completed harmonic pattern gets determined, when the RSI line crosses below the RSI MA.
You can choose your preferred RSI and MA length in the indicator settings under the “Trade Management” section.
MACD Crossing
If a harmonic pattern gets completed and you use this breakout condition, the breakout gets determined, when the MACD line crosses above the signal line (bullish MACD crossover) for a bullish breakout. Conversely, when the MACD line crosses below the signal line (bearish MACD crossover), a bearish breakout gets determined after a harmonic pattern was completed.
You can choose your preferred MACD length in the indicator settings under the “Trade Management” section.
Swing Flip
Use this breakout condition, if you want a breakout to get determined when the next swing after point D gets detected by the build in swing detection algorithm of TRN Harmonics.
Close Below/Above Last 2 Lows/Highs
With this breakout condition, a breakout for a short position gets determined, if a close below the lows of the last 2 bars gets detected. For a long position, the breakout gets determined if a close above the highs of the last 2 bars gets detected.
Close Below/Above Last 3 Lows/Highs
In this scenario, a short position breakout is confirmed if the price closes below the lows of the previous 3 bars. Conversely, a long position breakout is confirmed if the price closes above the highs of the last 3 bars.
How To Setup Breakout Conditions
Go to indicator settings and choose one of our built-in breakout conditions under the section "Trade Management" of the menu item "Inputs", like for example TRN Bars Signal + Trend. A selection of 7 distinct breakout conditions is at your disposal.
If you use the default settings of the Harmonic Patterns Suite, TRN Bars Signal + Trend will be the breakout condition for the detected harmonic patterns.
Computation Details
The real-time detection of the harmonic patterns utilizes a unique swing-based pattern recognition. The difference to other swing-based computations is that the pivot points are identified without a look-ahead value. The result is a faster and better real-time detection. Furthermore, the detection of the ratios between the single swings is based on a dynamic volatility measurement similar to the ATR. The tolerance level unites several internal parameters into one and results in a user-friendly setting.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
NZTVolumeDESCRIPTION IN ENGLISH
🔶 INTRODUCTION
NZTVolume is an advanced indicator for TradingView , inspired by the mentor Almaz . It is intended to facilitate the analytical work of traders who actively use data on real trading volumes in their analysis. The indicator also has many features that simplify operation and provide great opportunities for analysis , including the key function - identification of effective and ineffective movements, which are described below.
🔶 CONTENT
This tool provides detailed visualization of real volume . Other features such as candlestick color change depending on volume, histogram display percentage change in volume , and display candles that have gained liquidity, but the most unique function is the determination of effective and ineffective movements, alerts for them are built into the indicator, and traders will have a unique opportunity by setting alerts to wait for the first effective movement (its meaning and description below) , all this is implemented through advanced computational algorithms applied in the code.
Key features include Real Volume Histogram, Dynamic Candle Color Change, Average Volume Table, Volume Percent Change, Liquidity taken Candle, Volume Moving Averages, Effective and ineffective movements with their lines, 3 types of customizable Volume Alerts.
🔶 LOGIC
🔹 Dynamic Candle Color Change (Изменять цвет свечей)
Candles change to a contrasting color if their volume exceeds that of the previous candle , differentiated into bullish and bearish , including settings for transparency and colors . Can be configured, enabled of or disabled.
🔹 Real Volume Histogram (Показывать гистограмму объемов)
Automatically retrieves data on volumes and shows it on a chart. Can be configured, enabled of or disabled.
🔹 Liquidity Taken Candle (Показывать свечу собравшую ликвидность)
A candle that has taken/captured liquidity , which is determined in the code by the high and low prices of the candle and the volume it has , is displayed on the histogram . Can be configured, enabled or disabled.
🔹 Percent Change Volume (Показывать гистограмму процентного изменения объема)
Calculates and displays volume percent changes on a histogram. Can be configured, enabled or disabled.
🔹 Effective and Ineffective movement/column (Показывать эффективные и неэффективные движения)
By calculating the average volatility of the last bars, as well as calculating the average volume of the last bars, comparing and contrasting them, we obtain the principle of effective and ineffective movement/column. The code includes alerts that allow you to notify the user when the first effective movement/candle appears, which can significantly improve trading and maintain concentration. Basically it's a specific column on histogram, but is called movement so that's it's easier to understand its logic.
🔹 Line of efficiency and inefficiency (Показывать линии эффективности и неэффективности)
These lines connect all effective and ineffective movements' highs on the histogram, allowing traders to practice, as well as build their trading strategy for the trading day.
🔹 Average Volume Table (Показывать таблицу со средним объемом)
Displays the average volume per bar for selected time intervals with the ability to customize the period . Can be configured, enabled or disabled.
🔹 Volume Moving Averages (Показывать среднюю скользящую объема)
Three lines corresponding to users' set time intervals show the change in volume with color and thickness settings. Can be configured, enabled or disabled.
🔹 Alerts (Во сколько раз объем свечи должен превышать предыдущую для алерта)
Alerts can be triggered by 3 conditions
1. if on the selected timeframe the volume of the current candle exceeds the volume of the previous candle by a user-specified number of times , an alert will be triggered.
2. if a liquidity candle appears on the selected timeframe , an alert is triggered.
3. if an effective column/movement appears on the selected timeframe, an alert is triggered.
It can be configured, enabled or disabled.
🔶 TECHNICAL SPECIFICATION AND UNIQUENESS
At the core of NZTVolume is a series of advanced algorithms that analyze volume data in real-time.
Some of them are:
Calculate average volumes by given time period (in hours).
Candles, that took liquidity - considers high volume and wicks' size.
Percent volume change histogram - calculate percent change of volume for every bar and shows it on graph.
Effective and ineffective movement - calculates by algorithm that considers average volume and average volatility, assuming that big market players will contribute the volume.
🔶 DEMONSTRATION OF HOW THE INDICATOR WORKS ON DIFFERENT ASSETS
NZTLevel + NZTVolume Together
🔶 SETTINGS
🔹 Candles (Свечи)
Enable/disable color changes of candles based on volume . Customize colors of contrasting and standard candles, adjust transparency.
🔹 Histogram Settings (Настройки Гистограммы)
Show volume histogram , show liquidity taken candle, show volume percent change histogram, show effective, ineffective movements, show efficiency/inefficiency line.
🔹 Display settings on the Histogram (Настройки отображения на Гистограмме)
Customizable colors for bullish, bearish, liquidity taken columns as well as for effective and ineffective movement/columns and for lines that connect them.
🔹 Table (Таблица)
Toggle the display of the average volume table, customize the background, and set time ranges (3 parameters, multi-timeframe support). Tables shows "average volume over 24/48/72 hours" in translation
🔹 Lines (Линии)
Option to display/hide average volume lines , select colors and thickness for each of the three lines.
🔹 Alerts (Алерты)
As was said before, there are 3 types of alerts , that can be turned off , there is a parameter can be chosen - How many times volume of the current candle should exceeds the volume of the previous candle to trigger alert
🔶 RECOMMENDATIONS FOR USE
It is recommended to set and save the indicator settings that best match your trading preferences to ensure efficiency and ease of use.
NZTVolume stands out among other indicators for its universal functions, versatility, simplicity of installation and setup, high performance, and extensive customization capabilities, making it an indispensable tool for traders of all levels.
The indicator was developed by Temirlan Tolegenov for NZT Trader Community, April 2024, Prague, Czech Republic
ОПИСАНИЕ НА РУССКОМ ЯЗЫКЕ
🔶 ВСТУПЛЕНИЕ
NZTVolume — это продвинутый индикатор для TradingView , вдохновленный ментором Алмазом . Он предназначен для облегчения аналитической работы трейдеров, которые активно используют данные о реальных объёмах торгов в своем анализе. Индикатор также имеет множество функций, которые упрощают работу и предоставляют большие возможности для анализа , включая ключевую функцию - выявление эффективных и неэффективных движений, которые описаны ниже.
🔶 СОДЕРЖАНИЕ
Индикатор обеспечивает детальную визуализацию реального объема . Другие функции, такие как изменение цвета свечей в зависимости от объема, отображение гистограммы процентное изменение объема и отображение свечи, собравшей ликвидность, но самой уникальной функцией является определение эффективных и неэффективных движений, оповещения по ним встроены в индикатор, и у трейдеров появится уникальная возможность установить оповещения на ожидание первого эффективного движения (его смысл и описание ниже). ) , всё это реализовано посредством продвинутых вычислительных алгоритмов, примененных в коде.
Ключевые функции включают в себя гистограмму реального объема, динамическое изменение цвета свечи, таблицу среднего объема, процентное изменение объема, свечу, взявшую ликвидности, скользящие средние объема, эффективные и неэффективные движения с их линиями, 3 типа настраиваемых параметров. Оповещения об объеме.
🔶 ЛОГИКА
🔹 Динамическое изменение цвета свечей (Изменить цвет свечей)
Свечи меняют цвет на контрастный , если их объем превышает объем предыдущей свечи , дифференцируются на бычьи и медвежьи , включая настройки прозрачности и цвета . Можно настроить, включить или отключить.
🔹 Гистограмма реального объёма (Показывать гистограмму объёмов)
Автоматически извлекает данные по объемам и отображает их на графике. Можно настроить, включить или отключить.
🔹 Свеча, собравшая ликвидность (Показывать свечу собравшую ликвидность)
Свеча, собравшая ликвидность , которая определена в коде максимальной и минимальной ценой свечи и объемом, который она имеет , отображается на гистограмма . Можно настроить, включить или отключить.
🔹 Процентное изменение объема (Показывать гистограмму процентного изменения объема)
Вычисляет и отображает процентные изменения объема на гистограмме. Можно настроить, включить или отключить.
🔹 Эффективные и неэффективные движения(Показать Эффективныеи неэффективные движения)
Рассчитав среднюю волатильность последних баров, а также вычислив средний объем последних баров, сравнивая и противопоставляя их, мы получаем принцип эффективного и неэффективного движения/столбца. В код включены оповещения, которые позволяют оповещать пользователя при появлении первого эффективного движения/свечи, что позволяет существенно улучшить торговлю и сохранить концентрацию. По сути, это отдельный столбец на гистограмме, но он называется движением, потому что так, его логику будет легче понять.
🔹 Линия эффективности и неэффективности (Показывать линии эффективности и неэффективности)
Эти линии соединяют хаи всех эффективных и неэффективных движений на гистограмме, позволяя трейдерам практиковаться, а также строить свою торговую стратегию на торговый день.
🔹 Таблица среднего объема (Показать таблицу со значением определения)
Отображает средний объем на бар для выбранных временных интервалов с возможностью настройки периода . Можно настроить, включить или отключить.
🔹 Скользящие средние объёма (Показать среднюю скользящую объём)
Три линии, соответствующие установленным пользователем временным интервалам , показывают изменение объема с настройками цвета и толщины. Можно настроить, включить или отключить.
🔹 Оповещения (Во сколько раз объем свечи должен превышать предыдущую для оповещения)
Оповещения могут быть вызваны тремя условиями
1. Если на выбранном таймфрейме объем текущей свечи превысит объем предыдущей свечи в заданное пользователем количество раз , сработает оповещение
2. Если на выбранном таймфрейме появляется свеча ликвидности , срабатывает оповещение
3. Если на выбранном таймфрейме появляется эффективный столбец/движение , срабатывает оповещение.
Это можно настроить, включить или отключить.
🔶 ТЕХНИЧЕСКИЕ ХАРАКТЕРИСТИКИ И УНИКАЛЬНОСТЬ
В основе NZTVolume лежит серия продвинутых алгоритмов, которые анализируют данные об объемах в режиме реального времени.
Некоторые из них:
Рассчёт средние объёмы за заданный период времени (в часах).
Свечи, снявшие ликвидность - учитывает большой объем и размер шпилей.
Процентное изменение объема на гистограмме — рассчитывает процентное изменение объема для каждого бара и отображает его на графике.
Эффективное и неэффективное движение - рассчитывается по алгоритму, учитывающему средний объем и среднюю волатильность, предполагая, что объем крупных игроков будет сигнализировать о намерении рынка и силе движения.
🔶 НАСТРОЙКИ
🔹 Свечи
Включить/отключить изменение цвета свечей в зависимости от объема . Настройте цвета контрастных и стандартных свечей, настройте прозрачность.
🔹 Настройки гистограммы
Показать гистограмму объема , показать свечу взятой ликвидности, показать гистограмму процентного изменения объема, показать эффективные и неэффективные движения, показать линию эффективности/неэффективности.
🔹 Настройки отображения на гистограмме
Настраиваемые цвета для бычьих, медвежьих, свечей, собравших ликвидность столбцов, а также для эффективных и неэффективных движений/столбцов и линий, которые их соединяют.
🔹 Таблица
Переключайте отображение таблицы среднего объема, настраивайте фон и устанавливайте временные диапазоны (3 параметра, мультитаймфрейм).
🔹 Линии
Возможность отобразить/скрыть линии среднего объема , выбрать цвет и толщину для каждой из трех линий.
🔹 Алерты
Как было сказано ранее, есть 3 типа оповещений , которые можно отключить , можно выбрать параметр — во сколько раз объем текущей свечи должен превышать объем предыдущей свечи, чтобы сработало оповещение.
🔶 РЕКОМЕНДАЦИИ К ИСПОЛЬЗОВАНИЮ
Рекомендуется установить и сохранить настройки индикатора, которые лучше всего соответствуют вашим торговым предпочтениям, чтобы обеспечить эффективность и простоту использования.
NZTVolume выделяется среди других индикаторов своими универсальными функциями, универсальностью, простотой установки и настройки, высокой производительностью и широкими возможностями настройки, что делает его незаменимым инструментом для трейдеров всех уровней.
Индикатор разработан Темирланом Толегеновым для международного сообщества NZT Trader , Апрель 2024, Прага, Чешская Республика.
The indicator is published in accordance and respect to all House Rules of the TradingView platform.
Индикатор опубликован в соответствии и уважением ко всем внутренним правилами платформы TradingView.
Venit A.I Trading V1RSI indicatorThis indicator is designed to provide buy and sell signals based on the Relative Strength Index (RSI). Here's a breakdown of its components and functionality:
1. **Input Parameters**:
- `Period`: This parameter allows the user to adjust the period used in calculating the RSI.
- `Upper Threshold` and `Lower Threshold`: These parameters define the overbought and oversold levels for the RSI.
- `Imverse Algorithm`: This parameter allows the user to toggle between different algorithms for generating buy and sell signals.
- `Show Lines`: This parameter toggles the visibility of lines on the chart indicating buy and sell signals.
- `Show Labels`: This parameter toggles the visibility of labels on the chart indicating buy and sell signals.
2. **RSI Calculation**:
- The RSI is calculated using the specified period (`myPeriod`), typically representing the closing prices of the asset.
3. **Buy and Sell Conditions**:
- Buy conditions are determined based on whether the RSI crosses below the lower threshold (`myThresholdDn`), indicating potential oversold conditions.
- Sell conditions are determined based on whether the RSI crosses above the upper threshold (`myThresholdUp`), indicating potential overbought conditions.
- The choice of buy and sell conditions can be toggled using the `Imverse Algorithm` parameter.
4. **Position Tracking**:
- The indicator maintains a variable `myPosition` to track the current position (buy or sell) based on the generated signals.
- If a buy signal occurs (`buy` condition is true), `myPosition` is set to 0. If a sell signal occurs (`sell` condition is true) or the previous position was a buy, `myPosition` is set to 1. Otherwise, `myPosition` remains unchanged.
5. **Visualization**:
- Buy and sell signals are plotted on the chart using shapes (`plotshape`) based on the `myLineToggle` and `myLabelToggle` parameters.
- Lines are drawn on the chart to visually represent buy and sell signals.
- Labels are placed on the chart indicating buy and sell signals.
6. **Alerts**:
- The indicator provides alerts for buy and sell signals using the `alertcondition` function.
Overall, this indicator aims to provide traders with signals based on RSI movements, helping them identify potential buying and selling opportunities in the market. The flexibility in parameters allows users to customize the indicator based on their trading preferences and strategies.
