ايجابي بالشموع//@version=5
indicator("Metastock", overlay=true)
// شرط الشراء
buyCondition = open > close and low < low and close > close and close >= open and close <= high and close <= high and close > high
// شرط البيع (عكس شرط الشراء)
sellCondition = open < close and low > low and close < close and close <= open and close >= low and close >= low and close < low
// إضافة ملصق عند تحقق شرط الشراء (أسفل الشمعة)
if buyCondition
label.new(bar_index, low, "ايجابي", color=color.green, textcolor=color.white, style=label.style_label_up, yloc=yloc.belowbar)
// إضافة ملصق عند تحقق شرط البيع (أعلى الشمعة)
if sellCondition
label.new(bar_index, high, "سلبي", color=color.red, textcolor=color.white, style=label.style_label_down, yloc=yloc.abovebar)
อินดิเคเตอร์และกลยุทธ์
BW by readCrypto
Hello, traders.
If you "Follow", you can always get new information quickly.
Please also click "Boost".
Have a nice day today.
-------------------------------------
BW indicator is an indicator that displays StochRSI, MACD, OBV, and superTrend indicators integrated.
The BW(100) indicator is created when
- StochRSI indicator is 50 or higher,
- MACD indicator's haMSignal > haSSignal,
- OBV indicator rises above the previous high,
- superTrend indicator rises above the Sell line
The above conditions are met and it falls.
The BW(0) indicator is created when
- StochRSI indicator is below 50,
- MACD indicator is haMSignal < haSSignal,
- OBV indicator falls below the previous low,
- superTrend indicator falls below the Buy line
The above conditions are satisfied and it rises.
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(Interpretation method)
Accordingly, the creation of the BW(100) indicator can be interpreted as meaning that it has fallen from the high point range.
Therefore, the point where the BW(100) indicator is created is likely to be the resistance point.
The creation of the BW(0) indicator can be interpreted as meaning that it has risen from the low point range.
Therefore, the point where the BW(0) indicator is created is likely to be the support point.
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Since this BW indicator includes the OBV indicator that refers to the trading volume, it cannot be used on index charts that do not display the trading volume.
I think intuition is important when trading.
I think that indicators like this, which are displayed on the price candles, that is, indicators that show support and resistance points, increase intuitiveness when trading.
-
Thank you for reading to the end.
I hope you have a successful trade.
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안녕하세요?
트레이더 여러분, 반갑습니다.
"팔로우"를 해 두시면, 언제나 빠르게 새로운 정보를 얻으실 수 있습니다.
"부스트" 클릭도 부탁드립니다.
오늘도 좋은 하루되세요.
-------------------------------------
BW 지표는 StochRSI, MACD, OBV, superTrend 지표를 통합하여 표시한 지표입니다.
BW(100) 지표의 생성은
- StochRSI 지표가 50 이상,
- MACD 지표의 haMSignal > haSSignal,
- OBV 지표가 이전 고점 이상 상승,
- superTrend 지표가 Sell선 이상 상승
위의 조건이 만족한 상태에서 하락하게 되면 생성됩니다.
BW(0) 지표의 생성은
- StochRSI 지표가 50 이하,
- MACD 지표가 haMSignal < haSSignal,
- OBV 지표가 이전 저점 이하로 하락,
- superTrend 지표가 Buy선 이하로 하락
위의 조건이 만족한 상태에서 상승하게 되면 생성됩니다.
-
(해석 방법)
이에 따라서, BW(100) 지표가 생성되었다는 의미는 고점 구간에서 하락하였다는 의미로 해석할 수 있습니다.
그러므로, BW(100) 지표가 생성된 지점이 저항 지점이 될 가능성이 높습니다.
BW(0) 지표가 생성되었다는 의미는 저점 구간에서 상승하였다는 의미로 해석할 수 있습니다.
그러므로, BW(0) 지표가 생성된 지점이 지지 지점이 될 가능성이 높습니다.
-
이 BW 지표는 거래량를 참고하는 OBV 지표가 포함되어 있기 때문에 거래량 표시가 없는 지수 차트에서는 사용할 수 없습니다.
거래시에는 직관성이 중요하다고 생각합니다.
이렇게 가격 캔들 부분에 표시된 지표, 즉, 지지와 저항 지점을 표시하는 지표는 거래시 직관성을 높여 준다고 생각합니다.
-
끝까지 읽어주셔서 감사합니다.
성공적인 거래가 되기를 기원입니다.
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Multi-Timeframe Trend StatusThis Multi-Timeframe Trend Status indicator tracks market trends across four timeframes ( by default, 65-minute, 240-minute, daily, and monthly). It uses a Volatility Stop based on the Average True Range (ATR) to determine the trend direction. The ATR is multiplied by a user-adjustable multiplier to create a dynamic buffer zone that filters out market noise.
The indicator tracks the volatility stop and trend direction for each timeframe. In an uptrend, the stop trails below the price, adjusting upward, and signals a downtrend if the price falls below it. In a downtrend, the stop trails above the price, moving down with the market, and signals an uptrend if the price rises above it.
Two input parameters allow for customization:
ATR Length: Defines the period for ATR calculation.
ATR Multiplier: Adjusts the sensitivity of trend changes.
This setup lets traders align short-term decisions with long-term market context and spot potential trading opportunities or reversals.
NSE Compact Panel by KGHow It Works
1.Analyzes price action using multiple technical indicators
2.Updates a right-aligned panel with:
a)Current indicator values
b)Bullish/bearish status
c)Visual trend direction cues
3. Designed for quick scanning of market conditions on NSE charts.
4.The Script is for educational purpose only
Heikin Ashi by readCrypto
Hello, traders.
If you "Follow", you can always get new information quickly.
Please also click "Boost".
Have a nice day today.
-------------------------------------
Heikin Ashi candle chart is a trend candle chart that minimizes fakes.
Therefore, it looks different from the existing candle chart.
Because of this, it can be difficult to know the actual price movement.
To compensate for this, there are indicators that display in various forms.
The Heikin Ashi candle that I would like to introduce this time is an indicator displayed as a Line.
This Line indicator is expressed as the median of the Open and Close values of the Heikin Ashi candle.
This allows you to know the current trend.
-
USDT.D Line chart is also displayed as the median of the Open, High, Low, and Close of USDT.D.
-
The green color of the two indicators above means an increase, and the red color means a decrease.
In order to distinguish between the Heikin Ashi Line chart and the USDT.D Line chart, the green color of the Heikin Ashi Line chart is thickened, and the red color of the USDT.D Line chart is thickened.
The interpretation method is
- Heikin Ashi rises, USDT.D falls, StochRSI rises: The price is likely to rise.
- Heikin Ashi falls, USDT.D rises, StochRSI falls: The price is likely to fall.
- The remaining movements may correspond to volatility, i.e. fake, so watch the situation.
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As we add a lot of information, it may be confusing which one is important.
The key indicators for trading are the HA-Low, HA-High, BW(0), and BW(100) indicators.
Trend indicators are Trend Cloud indicator and M-Signal indicator on 1D, 1W, and 1M charts.
Intuition is important when trading.
If you do not make a quick judgment, the response time will be delayed and there is a high possibility that the transaction will proceed in the wrong direction.
Therefore, when you touch your own point or section marked on the chart, you should check whether a transaction is possible, and if you judge that a transaction is possible and start a transaction, you should know how to wait.
Also, you should think about whether to cut your loss when the movement is different from the direction you thought.
In this way, you should create a basic trading strategy when you start trading and start trading, and if you start trading based on this, you should try to stick to the trading strategy.
-
Thank you for reading to the end.
I hope you have a successful transaction.
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안녕하세요?
트레이더 여러분, 반갑습니다.
"팔로우"를 해 두시면, 언제나 빠르게 새로운 정보를 얻으실 수 있습니다.
"부스트" 클릭도 부탁드립니다.
오늘도 좋은 하루되세요.
-------------------------------------
Heikin Ashi 캔들 차트는 fake를 최소화한 차트로서 추세 캔들 차트라 할 수 있습니다.
따라서, 기존의 캔들 차트와 다른 모습을 보입니다.
이로인해 실제 가격 움직임을 알기가 애매할 수 있습니다.
이를 보완하고자 여러 형태로 표시하는 지표들을 있습니다.
제가 이번에 소개해 드리고자 하는 Heikin Ashi 캔들은 Line으로 표시되는 지표입니다.
이 Line 지표는 Heikin Ashi 캔들의 Open, Close 값의 중간값으로 표현됩니다.
이로서 현재의 추세를 알 수 있게 하였습니다.
-
USDT.D Line chart 또한 USDT.D의 Open, High, Low, Close의 중간값으로 표시됩니다.
-
위 두 지표의 Green색은 상승을, Red색은 하락을 의미합니다.
Heikin Ashi Line chart와 USDT.D Line chart를 구분하기 위해서 Heikin Ashi Line chart의 Green색을 두껍게 처리하고, USDT.D Line chart의 Red색을 두껍게 처리하였습니다.
해석 방법은
- Heikin Ashi 상승, USDT.D 하락, StochRSI 상승 : 가격이 상승할 가능성이 높음.
- Heikin Ashi 하락, USDT.D 상승, StochRSI 하락 : 가격이 하락할 가능성이 높음.
- 나머지 움직임은 변동성, 즉, fake에 해당될 수 있으므로 상황을 지켜봅니다.
----------------------------
많은 정보를 추가하다 보니, 어떤 것이 중요한 것인지 혼란스러울 수 있습니다.
거래의 핵심 지표는 HA-Low, HA-High, BW(0), BW(100) 지표입니다.
추세 지표는 Trend Cloud 지표와 1D, 1W, 1M 차트의 M-Signal 지표입니다.
거래시 중요한 것은 직관성입니다.
빠르게 판단하지 않으면, 대응 시간이 늦어져 엉뚱한 방향으로 거래가 진행될 가능성이 높기 때문입니다.
따라서, 차트에 표시해 둔 자신만의 지점이나 구간을 터치하였을 때 거래가 가능한지 확인하고 거래가 가능하다고 판단하여 거래를 시작하였다면 기다릴 줄도 알아야 합니다.
또한, 자신이 생각한 방향과 다르게 움직임이 나왔을 때 손절을 할 것인가도 생각해야 합니다.
이렇게 거래 시작시에 기본적인 거래 전략을 만들고 거래를 시작해야 하고, 이를 바탕으로 거래를 시작하였다면 거래 전략을 지킬려고 노력해야 합니다.
-
끝까지 읽어주셔서 감사합니다.
성공적인 거래가 되기를 기원입니다.
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UM-Optimized Linear Regression ChannelDESCRIPTION
This indicator was inspired by Dr. Stoxx at drstoxx.com. Shout out to him and his services for introducing me to this idea. This indicator is a slightly different take on the standard linear regression indicator.
It uses two standard deviations to draw bands and dynamically attempts to best-fit the data lookback period using an R-squared statistical measure. The R-squared value ranges between zero and one with zero being no fit to the data at all and 1 being a 100% match of the data to linear regression line. The R-squared calculation is weighted exponentially to give more weight to the most recent data.
The label provides the number of periods identified as the optimal best-fit period, the type of loopback period determination (Manual or Auto) and the R-squared value (0-100, 100% being a perfect fit). >=90% is a great fit of the data to the regression line. <50% is a difficult fit and more or less considered random data.
The lookback mode can also be set manually and defaults to a value of 100 periods.
DEFAULTS
The defaults are 1.5 and 2.0 for standard deviation. This creates 2 bands above and below the regression line. The default mode for best-fit determination with "Auto" selected in the dropdown. When manual mode is selected, the default is 100. The modes, manual lookback periods, colors, and standard deviations are user-configurable.
HOW TO USE
Overlay this indicator on any chart of any timeframe. Look for turning points at extremes in the upper and lower bands. Look for crossovers of the centerline. Look at the Auto-determination for best fit. Compare this to your favorite Manual mode setting (Manual Mode is set to 100 by default lookback periods.)
When price is at an extreme, look for turnarounds or reversals. Use your favorite indicators, in addition to this indicator, to determine reversals. Try this indicator against your favorite securities and timeframes.
CHART EXAMPLE
The chart I used for an example is the daily chart of IWM. I illustrated the extremes with white text. This is where I consider proactively exiting an existing position and/or begin looking for a reversal.
Blockchain Fundamentals: Liquidity Cycle MomentumLiquidity Cycle Momentum Indicator
Overview:
This indicator analyzes global liquidity trends by calculating a unique Liquidity Index and measuring its year-over-year (YoY) percentage change. It then applies a momentum oscillator to the YoY change, providing insights into the cyclical momentum of liquidity. The indicator incorporates a limited historical data workaround to ensure accurate calculations even when the chart’s history is short.
Features Breakdown:
1. Limited Historical Data Workaround
Function: The limit(length) function adjusts the lookback period when there isn’t enough historical data (i.e., near the beginning of the chart), ensuring that calculations do not break due to insufficient data.
2. Global Liquidity Calculation
Data Sources:
TVC:CN10Y (10-year yield from China)
TVC:DXY (US Dollar Index)
ECONOMICS:USCBBS (US Central Bank Balance Sheet)
FRED:JPNASSETS (Japanese assets)
ECONOMICS:CNCBBS (Chinese Central Bank Balance Sheet)
FRED:ECBASSETSW (ECB assets)
Calculation Methodology:
A ratio is computed (cn10y / dxy) to adjust for currency influences.
The Liquidity Index is then derived by multiplying this ratio with the sum of the other liquidity components.
3. Year-over-Year (YoY) Percent Change
Computation:
The indicator determines the number of bars that approximately represent one year.
It then compares the current Liquidity Index to its value one year ago, calculating the YoY percentage change.
4. Momentum Oscillator on YoY Change
Oscillator Components:
1. Calculated using the Chande Momentum Oscillator (CMO) applied to the YoY percent change with a user-defined momentum length.
2. A weighted moving average (WMA) that smooths the momentum signal.
3. Overbought and Oversold zones
Signal Generation:
Buy Signal: Triggered when the momentum crosses upward from an oversold condition, suggesting a potential upward shift in liquidity momentum.
Sell Signal: Triggered when crosses below an overbought condition, indicating potential downward momentum.
State Management:
The indicator maintains a state variable to avoid repeated signals, ensuring that a new buy or sell signal is only generated when there’s a clear change in momentum.
5. Visual Presentation and Alerts
Plots:
The oscillator value and signalline are plotted for visual analysis.
Overbought and oversold levels are marked with dashed horizontal lines.
Signal Markers:
Buy and sell signals are marked with green and maroon circles, respectively.
Background Coloration:
Optionally, the chart’s background bars are colored (yellow for buy signals and fuchsia for sell signals) to enhance visual cues when signals are triggered.
Conclusion
In summary, the Liquidity Cycle Momentum Indicator provides a robust framework to analyze liquidity trends by combining global liquidity data, YoY changes, and momentum oscillation. This makes it an effective tool for traders and analysts looking to identify cyclical shifts in liquidity conditions and potential turning points in the market.
ICT Killzones [Tsx Trader]isndicador exelente para ver as kilzones onde vc pode fazer seus trades com maior acertividade
G-FRAMA | QuantEdgeBIntroducing G-FRAMA by QuantEdgeB
Overview
The Gaussian FRAMA (G-FRAMA) is an adaptive trend-following indicator that leverages the power of Fractal Adaptive Moving Averages (FRAMA), enhanced with a Gaussian filter for noise reduction and an ATR-based dynamic band for trade signal confirmation. This combination results in a highly responsive moving average that adapts to market volatility while filtering out insignificant price movements.
_____
1. Key Features
- 📈 Gaussian Smoothing – Utilizes a Gaussian filter to refine price input, reducing short-term noise while maintaining responsiveness.
- 📊 Fractal Adaptive Moving Average (FRAMA) – A self-adjusting moving average that adapts its sensitivity to market trends.
- 📉 ATR-Based Volatility Bands – Dynamic upper and lower bands based on the Average True Range (ATR), improving signal reliability.
- ⚡ Adaptive Trend Signals – Automatically detects shifts in market structure by evaluating price in relation to FRAMA and its ATR bands.
_____
2. How It Works
- Gaussian Filtering
The Gaussian function preprocesses the price data, giving more weight to recent values and smoothing fluctuations. This reduces whipsaws and allows the FRAMA calculation to focus on meaningful trend developments.
- Fractal Adaptive Moving Average (FRAMA)
Unlike traditional moving averages, FRAMA uses fractal dimension calculations to adjust its smoothing factor dynamically. In trending markets, it reacts faster, while in sideways conditions, it reduces sensitivity, filtering out noise.
- ATR-Based Volatility Bands
ATR is applied to determine upper and lower thresholds around FRAMA:
- 🔹 Long Condition: Price closes above FRAMA + ATR*Multiplier
- 🔻 Short Condition: Price closes below FRAMA - ATR
This setup ensures entries are volatility-adjusted, preventing premature exits or false signals in choppy conditions.
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3. Use Cases
✔ Adaptive Trend Trading – Automatically adjusts to different market conditions, making it ideal for both short-term and long-term traders.
✔ Noise-Filtered Entries – Gaussian smoothing prevents false breakouts, allowing for cleaner entries.
✔ Breakout & Volatility Strategies – The ATR bands confirm valid price movements, reducing false signals.
✔ Smooth but Aggressive Shorts – While the indicator is smooth in overall trend detection, it reacts aggressively to downside moves, making it well-suited for traders focusing on short opportunities.
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4. Customization Options
- Gaussian Filter Settings – Adjust length & sigma to fine-tune the smoothness of the input price. (Default: Gaussian length = 4, Gaussian sigma = 2.0, Gaussian source = close)
- FRAMA Length & Limits – Modify how quickly FRAMA reacts to price changes.(Default: Base FRAMA = 20, Upper FRAMA Limit = 8, Lower FRAMA Limit = 40)
- ATR Multiplier – Control how wide the volatility bands are for long/short entries.(Default: ATR Length = 14, ATR Multiplier = 1.9)
- Color Themes – Multiple visual styles to match different trading environments.
_____
Conclusion
The G-FRAMA is an intelligent trend-following tool that combines the adaptability of FRAMA with the precision of Gaussian filtering and volatility-based confirmation. It is versatile across different timeframes and asset classes, offering traders an edge in trend detection and trade execution.
____
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
[NAT] Envelope + TEMAThis indicator builds upon the previously posted Nadaraya-Watson smoothers. Here we have created an envelope indicator based on Kernel Smoothing with integrated alerts from crosses between the price and envelope extremities. Unlike the Nadaraya-Watson estimator, this indicator follows a contrarian methodology.
Please note that by default this indicator can be subject to repainting. Users can use a non-repainting smoothing method available from the settings. The triangle labels are designed so that the indicator remains useful in real-time applications.
Gelişmiş Supertrend + EMA StratejiBu strateji, üç temel göstergenin kombinasyonunu kullanarak alım-satım sinyalleri üreten bir sistemdir:
Ana Göstergeler:
EMA 5 (Hızlı Hareketli Ortalama)
EMA 20 (Yavaş Hareketli Ortalama)
Supertrend (ATR tabanlı trend göstergesi)
Alış Sinyali Koşulları:
Şu iki koşul aynı anda gerçekleştiğinde alış sinyali üretilir:
EMA 5, EMA 20'yi yukarı kesiyor (emaCrossUp)
Supertrend yukarı trend gösteriyor (stUp)
Satış Sinyali Koşulları:
Şu iki koşul aynı anda gerçekleştiğinde satış sinyali üretilir:
EMA 5, EMA 20'yi aşağı kesiyor (emaCrossDown)
Supertrend aşağı trend gösteriyor (stDown)
Stratejinin Çalışma Mantığı:
Trend Teyidi: Supertrend, genel trend yönünü belirler
Momentum Teyidi: EMA kesişimleri, momentumu gösterir
Çift Onay: Her iki göstergenin de aynı yönü işaret etmesi gerekir
Görsel Göstergeler:
Yeşil "AL" etiketi: Alış noktalarını gösterir (mum altında)
Kırmızı "SAT" etiketi: Satış noktalarını gösterir (mum üstünde)
Mavi çizgi: EMA 5
Kırmızı çizgi: EMA 20
Yeşil/Kırmızı çizgi: Supertrend
Bilgi Tablosu İçeriği:
Mevcut Sinyal: Son üretilen sinyal
EMA Trend: EMA'ların gösterdiği trend
Supertrend: Supertrend'in gösterdiği yön
Son İşlem: En son gerçekleşen alım veya satım
Stratejinin Avantajları:
Trend takibi sağlar
Yanlış sinyalleri azaltır
Görsel olarak anlaşılması kolaydır
Çift onay sistemi ile güvenilirlik artar
Kullanım Önerileri:
Günlük veya 4 saatlik grafiklerde daha etkilidir
Güçlü trend dönemlerinde daha iyi çalışır
Yatay piyasalarda dikkatli kullanılmalıdır
Stop loss ve take profit seviyeleri eklenmelidir
Parametre Optimizasyonu:
- EMA periyotları piyasa volatilitesine göre ayarlanabilir
Supertrend parametreleri trend hassasiyetini belirler
Risk Yönetimi Önerileri:
Her işlemde sabit risk oranı kullanın
Trend yönünde işlem yapın
Piyasa volatilitesine göre stop loss belirleyin
Pozisyon büyüklüğünü risk yönetimine göre ayarlayın
11. En İyi Kullanım Senaryoları:
Trend başlangıçlarını yakalamak için
Trend dönüşlerini tespit etmek için
Momentum değişimlerini takip etmek için
Orta-uzun vadeli pozisyonlar için
Bu strateji, trend takibi ve momentum stratejilerinin bir kombinasyonudur. Özellikle trendli piyasalarda etkili olabilir, ancak her strateji gibi risk yönetimi ile birlikte kullanılmalıdır.
RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way**Detailed Indicator Description: RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way**
### **General Information:**
The **RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way** indicator is an advanced technical analysis tool integrating multiple indicators for comprehensive market analysis.
### **Key Components:**
- **RSI (Relative Strength Index):** Measures trend strength and overbought/oversold conditions.
- **Stochastic RSI:** Identifies potential trend reversals.
- **RVI (Relative Volatility Index):** Assesses market volatility.
- **MFI (Money Flow Index):** Tracks buying and selling pressure.
- **DMI and ADX (Directional Movement Index):** Measure trend direction and strength.
- **CCI (Commodity Channel Index):** Highlights price deviations from averages.
- **MACD Histogram:** Displays momentum shifts.
- **OBV (On-Balance Volume):** Confirms trends through volume analysis.
- **Ichimoku:** Provides a comprehensive trend and support-resistance view.
### **Strategies and Signals:**
- **Ichimoku (2 types):** Cross-based trend strategies.
- **Entry/Exit Algorithms:** Generate signals using RSI, StRSI, CCI, DMI/ADX, MACD, OBV.
- **RSI Divergences:** Detects potential reversals through divergence analysis.
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**Подробное описание индикатора: RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way**
### **Общая информация:**
Индикатор **RSI+StRSI+RVI+MFI+DMI+CCI+MACDH+OBV+Ichimoku Milky Way** — это комплексный инструмент технического анализа, объединяющий ведущие осцилляторы, трендовые индикаторы и алгоритмы поиска точек входа и выхода.
### **Основные компоненты:**
- **RSI (Индекс относительной силы):** Оценивает силу тренда и зоны перекупленности/перепроданности.
- **Stochastic RSI (Стохастический RSI):** Определяет вероятные развороты тренда.
- **RVI (Индекс относительной волатильности):** Измеряет волатильность рынка.
- **MFI (Индекс денежного потока):** Анализирует объемы и давление покупателей.
- **DMI и ADX (Индексы направленного движения):** Оценивают силу и направление тренда.
- **CCI (Индекс товарного канала):** Показывает отклонение цены от средней.
- **MACD Histogram:** Подчеркивает изменения импульса.
- **OBV (Балансовый объем):** Подтверждает тренды через объемы.
- **Ichimoku:** Комплексно отображает тренд, уровни поддержки и сопротивления.
### **Стратегии и сигналы:**
- **Ichimoku (2 типа):** Стратегии на основе пересечений линий.
- **Алгоритмы открытия и закрытия позиций:** Используют сигналы от RSI, StRSI, CCI, DMI/ADX, MACD, OBV.
- **Дивергенции RSI:** Поддержка поиска расхождений.
IPO Date ScreenerThis script, the IPO Date Screener, allows traders to visually identify stocks that are relatively new, based on the number of bars (days) since their IPO. The user can set a custom threshold for the number of days (bars) after the IPO, and the script will highlight new stocks that fall below that threshold.
Key Features:
Customizable IPO Days Threshold: Set the threshold for considering a stock as "new." Since Pine screener limits number bars to 500, it will work for stocks having trading days below 500 since IPO which almost 2 years.
Column Days since IPO: Sort this column from low to high to see newest to oldest STOCK with 500 days of trading.
Since a watchlist is limited to 1000 stocks, use this pines script to screen stocks within the watch list having trading days below 500 or user can select lower number of days from settings.
This is not helpful to add on chart, this is to use on pine screener as utility.
Smart ChannelThe "Smart Channel" indicator is designed to dynamically identify and plot price channels on a chart. It uses a statistical approach based on Pearson's correlation coefficient to determine the best-fit channel for both short-term and long-term trends. This allows traders to visualize potential support and resistance levels, identify trend direction, and potentially anticipate breakouts or reversals.
How it Works:
Data Input: The indicator takes a source input (typically the closing price) as the basis for its calculations.
Period Selection: It defines two sets of lookback periods: one for short-term analysis and one for long-term analysis. The code iterates through these periods, calculating a linear regression and standard deviation for each.
Pearson's Correlation: For each period, the indicator calculates Pearson's R, which measures the strength and direction of the linear relationship between price and time. A higher absolute value of Pearson's R indicates a stronger trend.
Best Fit Channel: The indicator identifies the period with the highest Pearson's R for both short-term and long-term and uses the corresponding linear regression parameters (slope and intercept) to define the midline of the channel.
Standard Deviation: The standard deviation of the price data around the regression line is calculated. This is used to define the upper and lower boundaries of the channel. The channel width is controlled by a "Deviation Multiplier" input.
Channel Plotting: The indicator plots the midline, upper boundary, and lower boundary of the channel on the chart. Separate channels are plotted for the short-term and long-term best-fit periods, using different colors for easy visual distinction.
Dynamic Updates: The channel is dynamically updated as new price data becomes available, adjusting to the evolving market trend.
Key Inputs and Settings:
Source: The price data used for calculations (e.g., close, open, high, low, etc.).
Use Long-Term Channel: A boolean input to enable/disable the calculation and plotting of the long-term channel.
Deviation Multiplier: Controls the width of the channel (how many standard deviations away from the midline the boundaries are).
Channel/Midline Colors and Transparency: Customizable colors and transparency levels for the channel lines and fill.
Line Styles: Options for solid, dotted, or dashed lines for the channel boundaries and midline.
Extend Style: How the channel lines should extend (right, both, none, left).
Interpretation and Usage:
Trend Identification: The direction of the midline indicates the prevailing trend. An upward-sloping midline suggests an uptrend, while a downward-sloping midline suggests a downtrend.
Support and Resistance: The upper and lower channel boundaries can act as potential support and resistance levels.
Breakouts: A price move outside of the channel boundaries may signal a potential breakout or reversal.
Overbought/Oversold: Prices touching or exceeding the upper boundary might suggest an overbought condition, while prices touching or exceeding the lower boundary might suggest an oversold condition.
Short-Term vs. Long-Term: Comparing the short-term and long-term channels can provide insights into the overall market context. For example, a short-term uptrend within a long-term downtrend might suggest a potential buying opportunity before the larger trend resumes.
Erudite RSIThis indicator is a combination of Relative Strength Index (RSI) and Stochastic RSI.
This is a good indicator for scalping.
-Erudite
Engulfing Alert (for the H1 Engulfing Strat)A basic indicator to mark candles that meet the engulfing parameters talked about in the NQ H1 Engulfing strategy video by Keypoems. These parameters aren't the typical engulfing parameters, hence this specialized indicator.
You can also use this indicator to create alerts for when these engulfing candles appear. Then when you get the alert, get ready for a trade entry!
Quantum ScalperQuantum Scalper: The Ultimate Multi-Strategy Scalping Indicator
The Quantum Scalper is a sophisticated, all-in-one technical analysis tool, designed specifically for active scalpers and day traders who need a fast, reliable, and highly accurate indicator for trading in fast-moving markets. Unlike traditional indicators that rely on a single strategy, the Quantum Scalper integrates multiple advanced strategies into one cohesive system, offering a comprehensive, multi-dimensional approach to real-time market analysis.
With a combination of trend-following tools, momentum oscillators, volatility measures, and mean-reversion techniques, the Quantum Scalper ensures that you have everything you need to make high-probability trading decisions with precision and speed. This indicator provides automatic signals, allowing you to trade confidently without constantly second-guessing your analysis.
Key Features and Components of the Quantum Scalper
1. Trend-Following Strategy (EMA Crossovers)
The trend-following strategy is at the core of the Quantum Scalper, providing a clear and reliable method to identify the current market direction. This strategy uses a dual Exponential Moving Average (EMA) system with two time periods:
Short-term EMA (8-period): Reacts quickly to price changes, capturing the immediate market sentiment.
Long-term EMA (21-period): Smoother and slower, providing a clearer view of the longer-term market trend.
How it works:
Bullish signal: When the short-term EMA crosses above the long-term EMA, this indicates a potential uptrend, suggesting it might be a good time to buy.
Bearish signal: When the short-term EMA crosses below the long-term EMA, this indicates a potential downtrend, suggesting it might be a good time to sell.
The EMA crossovers act as dynamic trend signals that adjust with the market, helping you identify the prevailing trend.
2. Momentum Indicators (RSI and MACD)
Momentum indicators help measure the strength of a market trend, and how likely it is to continue. The Quantum Scalper uses two powerful momentum indicators:
Relative Strength Index (RSI): This oscillator measures the strength of a trend by comparing recent gains to losses. It ranges from 0 to 100, indicating overbought or oversold conditions.
Overbought (above 70): Market may be due for a pullback, signaling a potential reversal or downtrend.
Oversold (below 30): Market may be due for a bounce, signaling a potential reversal or uptrend.
Moving Average Convergence Divergence (MACD): The MACD compares two EMAs (12 and 26 periods) to identify changes in momentum.
MACD Line: The difference between the two EMAs.
Signal Line: A 9-period EMA of the MACD Line.
MACD Histogram: The difference between the MACD Line and the Signal Line, providing a visual representation of momentum.
Bullish crossover: When the MACD crosses above the Signal Line, it signals increasing momentum in the uptrend.
Bearish crossover: When the MACD crosses below the Signal Line, it signals increasing momentum in the downtrend.
The RSI and MACD indicators work together, confirming the strength of the trend and identifying possible trend continuation or trend reversal points.
3. Volatility Analysis (ATR)
Volatility is a critical component for scalpers, as it helps define the market's price range and provides insights into risk management. The Average True Range (ATR) is used to measure market volatility by calculating the average range between high and low prices over a specific period (typically 14 periods).
High ATR: Indicates high volatility in the market, which is crucial for scalping, as it often correlates with larger price movements.
Low ATR: Indicates low volatility, suggesting a consolidation or range-bound market where trades might not be as profitable.
By analyzing ATR, the Quantum Scalper helps you determine the appropriate position size and risk level, making it easier to adjust your strategy according to the market's conditions.
4. Mean Reversion (Bollinger Bands)
The Bollinger Bands are used to identify overbought and oversold conditions relative to the market’s moving average. The bands consist of three components:
Middle Band (SMA): The 20-period Simple Moving Average (SMA) of the price.
Upper Band: The middle band plus a multiple of the standard deviation (usually 2 times).
Lower Band: The middle band minus a multiple of the standard deviation.
How it works:
Upper Band: When price touches or exceeds the upper band, the market is considered overbought, suggesting a potential mean reversion (price will likely come back to the mean or middle band).
Lower Band: When price touches or exceeds the lower band, the market is considered oversold, suggesting a potential mean reversion to the upside.
The Bollinger Bands are especially useful for identifying potential corrections or reversals after the market becomes overextended.
5. Trend Reversal (Parabolic SAR)
The Parabolic SAR (Stop and Reverse) indicator is a trend-following tool that helps identify potential trend reversals. The SAR is plotted as a series of dots above or below the price. The position of the dots indicates the current trend:
Above price: Indicates a downtrend.
Below price: Indicates an uptrend.
How it works:
When the price crosses above the SAR dots, the market could be entering an uptrend (bullish reversal).
When the price crosses below the SAR dots, the market could be entering a downtrend (bearish reversal).
The Parabolic SAR enhances the Quantum Scalper by giving real-time insight into trend changes, making it easier to catch trend reversals early.
6. Trend Strength (ADX)
The Average Directional Index (ADX) measures the strength of a trend, whether bullish or bearish. The ADX ranges from 0 to 100 and helps identify whether the market is trending or consolidating:
ADX > 25: Strong trend, either bullish or bearish.
ADX < 20: Weak trend or market consolidation (sideways movement).
The ADX confirms whether the market is strong enough to warrant a trade. It helps the Quantum Scalper avoid low-volatility environments and focus on high-probability trends.
7. Momentum (Stochastic Oscillator)
The Stochastic Oscillator measures the momentum of price relative to its price range over a specific period. It consists of two lines: %K (the fast line) and %D (the slow line, typically a 3-period moving average of %K).
Overbought (above 80): Market is likely overextended, and a potential reversal could occur.
Oversold (below 20): Market is likely overextended in the opposite direction, suggesting a potential reversal to the upside.
The Stochastic Oscillator is an important tool for timing entry and exit points, especially during periods of high momentum or overbought/oversold conditions.
How to Use the Quantum Scalper
Trend Direction:
Observe the EMA crossovers and Parabolic SAR dots to determine the trend direction.
Uptrend: Short-term EMA above the long-term EMA, and SAR dots below price.
Downtrend: Short-term EMA below the long-term EMA, and SAR dots above price.
Momentum:
Use RSI and MACD for confirmation:
Bullish momentum: RSI rising from oversold, MACD histogram positive.
Bearish momentum: RSI falling from overbought, MACD histogram negative.
Volatility:
Pay attention to the ATR for risk management.
High ATR: Indicates high volatility, use smaller position sizes if necessary.
Low ATR: Watch for consolidation and prepare for potential breakout opportunities.
Mean Reversion:
Watch the Bollinger Bands for potential reversals.
Price touches upper band: Consider taking short positions or prepare for a price pullback.
Price touches lower band: Consider taking long positions or prepare for a price bounce.
Trend Reversal:
Use Parabolic SAR to identify potential trend reversals.
If price moves from below SAR to above it, look for buy opportunities.
If price moves from above SAR to below it, look for sell opportunities.
Trend Strength:
Use ADX to confirm whether a strong trend is in place.
ADX above 25: Enter trades aligned with the strong trend.
ADX below 20: Avoid trades in low-trend, sideways markets.
Who Can Benefit from the Quantum Scalper?
Scalpers looking to profit from small price movements in fast-paced markets.
Day traders who need to quickly identify high-probability entry and exit points.
Traders who want a comprehensive, multi-strategy approach to market analysis, without having to use multiple indicators or switch between strategies.
Traders who are looking to enhance their risk management by incorporating volatility and trend strength analysis into their decision-making process.
Crossing of MA VariantsThis indicator provides crossovers for various Moving Average variants and their input parameters. The Moving Average variants are:
- Simple Moving Average (SMA)
- Exponential Moving Average (EMA)
- Weighted Moving Average (WMA)
- Symmetrically Weighted Moving Average (SWMA)
- Hull Moving Average (HMA)
- Volume-Weighted Moving Average (VWMA)
- Double Exponential Moving Average (DEMA)
- Triple Exponential Moving Average (TEMA)
- Fractal Adaptive Moving Average (FRAMA)
- Arnaud Legoux Moving Average (ALMA)
- Least Squares Moving Average (LSMA)
This indicator also comes with various customizations, backgrounds, plots and alerts.
Reversal Indicator [SL/TP]Этот индикатор помогает находить точки разворота на графике криптовалютной пары. Он использует комбинацию фракталов, RSI, объема и скользящих средних для генерации сигналов на покупку (BUY) и продажу (SELL). Также индикатор отображает уровни Stop Loss (SL) и Take Profit (TP) на графике.
## Особенности:
- **Анти-перерисовка**: Сигналы генерируются только после закрытия свечи.
- **Многоуровневая фильтрация**: Используются RSI, объем, трендовые фильтры и ATR.
- **Визуализация**: Уровни SL и TP отображаются на графике.
- **Алерты**: Поддержка уведомлений о сигналах.
## Параметры:
- **RSI Length**: Период RSI (по умолчанию 14).
- **Volume Multiplier**: Множитель объема (по умолчанию 1.5).
- **Stop Loss (%)**: Уровень Stop Loss в процентах (по умолчанию 1%).
- **Take Profit (%)**: Уровень Take Profit в процентах (по умолчанию 2%).
## Как использовать:
1. Добавьте индикатор на график.
2. Настройте параметры под свои предпочтения.
3. Используйте сигналы в сочетании с другими инструментами анализа.
## ⚠️ ПРЕДУПРЕЖДЕНИЕ О РИСКАХ:
Торговля на финансовых рынках связана с существенным риском потери капитала. Этот индикатор предоставляет только информационные сигналы и не гарантирует прибыль. Прежде чем использовать этот инструмент, убедитесь, что вы:
- Понимаете все риски, связанные с торговлей.
- Торгуете только тем капиталом, который можете позволить себе потерять.
- Используете Stop Loss для ограничения убытков.
- Тестируете стратегию на исторических данных перед использованием на реальных деньгах.
Автор индикатора не несет ответственности за любые убытки, возникшие в результате использования этого инструмента.
Volume Momentum Oscillator (Enhanced)📊 Volume Momentum Oscillator (VMO) — 量能动量振荡器
🔍 介绍
Volume Momentum Oscillator (VMO) 是一款基于成交量变化的动量指标，它通过计算成交量的 短期均线与长期均线的偏离程度，衡量市场活跃度的变化。该指标适用于分析市场趋势的 加速与减弱，帮助交易者捕捉可能的趋势转折点。
📌 计算逻辑
短期成交量均线（默认 14）
长期成交量均线（默认 28）
计算公式：
𝑉𝑀𝑂= (短期成交量均线 − 长期成交量均线)/长期成交量均线 × 100
结果：
VMO > 0 🔼：短期成交量高于长期成交量，市场活跃度增加，可能为上涨信号。
VMO < 0 🔽：短期成交量低于长期成交量，市场活跃度下降，可能为下跌信号。
📊 主要功能
✅ 趋势动量检测 📈📉
✅ 超买/超卖区间提示 🔴🟢
✅ 动态颜色变化，直观显示趋势
✅ 可自定义参数，适配不同市场
🛠️ 参数说明
短期周期 (默认 14)： 计算短周期成交量均线的长度
长期周期 (默认 28)： 计算长周期成交量均线的长度
超买/超卖区间 (默认 ±10)： 设定成交量过热或低迷的界限
颜色变换：
绿色（短期成交量增强）
红色（短期成交量减弱）
背景颜色提示：
进入 超买区（>10） 时，背景变红
进入 超卖区（<-10） 时，背景变绿
📈 交易策略
1️⃣ VMO 上穿 0 轴 ➝ 短期成交量增强，可能是买入信号
2️⃣ VMO 下穿 0 轴 ➝ 短期成交量下降，可能是卖出信号
3️⃣ VMO 高于 +10（超买区） ➝ 市场可能过热，警惕回调风险
4️⃣ VMO 低于 -10（超卖区） ➝ 市场可能超跌，关注反弹机会
📌 建议搭配 RSI、MACD 或趋势指标使用，以提高交易准确性！ 🚀
🔗 适用市场
📌 股票 / 期货 / 外汇 / 加密货币（适用于所有基于成交量的市场）
📌 免责声明
本指标仅用于市场分析和学习，不构成任何投资建议。交易者应结合自身策略和市场条件谨慎决策。📢
📊 如果你觉得这个指标有帮助，请点赞 & 收藏！欢迎在评论区交流你的交易经验！ 🎯🚀
Central Bank BS Delta TracerCentral Bank BS Delta Tracer is a new way of looking at liquidity on TradingView.
CBBSDT (for short) shows bars for popular central bank balance sheets. The default is the US, but other countries can be viewed or compared as well.
You can combine multiple central bank balances, and all are calculated in USD using currency pairs so that the units match up. Combining can also show differentials, such as if the ECB did more QT than the US in a given time frame.
Warning: Time frames lower than a month may be inaccurate. Many central banks do not report their BS on a frequent basis, so do know ahead of time that data is usually outdated by a variable amount depending on the data source. Check with the particular sources of central bank BS before making assumptions about deltas using this indicator.
Debt is the dark energy of the economy. Therefore we must know how much of it is pumping or draining.
