Volume Delta Candles HTF [TradingFinder] LTF Volume Candles 🔵 Introduction
In financial markets, understanding the concepts of supply and demand and their impact on price movements is of paramount importance. Supply and demand, as fundamental pillars of economics, reflect the interaction between buyers and sellers.
When buyers' strength surpasses that of sellers, demand increases, and prices tend to rise. Conversely, when sellers dominate buyers, supply overtakes demand, causing prices to drop. These interactions play a crucial role in determining market trends, price reversal points, and trading decisions.
Volume Delta Candles offer traders a practical way to visualize trading activity within each candlestick. By integrating data from lower timeframes or live market feeds, these candles eliminate the need for standalone volume indicators.
They present the proportions of buying and selling volume as intuitive colored bars, making it easier to interpret market dynamics at a glance. Additionally, they encapsulate critical metrics like peak delta, lowest delta, and net delta, allowing traders to grasp the market's internal order flow with greater precision.
In financial markets, grasping the interplay between supply and demand and its influence on price movements is crucial for successful trading. These fundamental economic forces reflect the ongoing balance between buyers and sellers in the market.
When buyers exert greater strength than sellers, demand dominates, driving prices upward. Conversely, when sellers take control, supply surpasses demand, and prices decline. Understanding these dynamics is essential for identifying market trends, pinpointing reversal points, and making informed trading decisions.
Volume Delta Candles provide an innovative method for evaluating trading activity within individual candlesticks, offering a simplified view without relying on separate volume indicators. By leveraging lower timeframe or real-time data, this tool visualizes the distribution of buying and selling volumes within a candle through color-coded bars.
This visual representation enables traders to quickly assess market sentiment and understand the forces driving price action. Buyer and seller strength is a critical concept that focuses on the ratio of buying to selling volumes. This ratio not only provides insights into the market's current state but also serves as a leading indicator for detecting potential shifts in trends.
Traders often rely on volume analysis to identify significant supply and demand zones, guiding their entry and exit strategies. Delta Candles translate these complex metrics, such as Maximum Delta, Minimum Delta, and Final Delta, into an easy-to-read visual format using Japanese candlestick structures, making them an invaluable resource for analyzing order flows and market momentum.
By merging the principles of supply and demand with comprehensive volume analysis, tools like the indicator introduced here offer unparalleled clarity into market behavior. This indicator calculates the relative strength of supply and demand for each candlestick by analyzing the ratio of buyers to sellers.
🔵 How to Use
The presented indicator is a powerful tool for analyzing supply and demand strength in financial markets. It helps traders identify the strengths and weaknesses of buyers and sellers and utilize this information for better decision-making.
🟣 Analyzing the Highest Volume Trades on Candles
A unique feature of this indicator is the visualization of price levels with the highest trade volume for each candlestick. These levels are marked as black lines on the candles, indicating prices where most trades occurred. This information is invaluable for identifying key supply and demand zones, which often act as support or resistance levels.
🟣 Trend Confirmation
The indicator enables traders to confirm bullish or bearish trends by observing changes in buyer and seller strength. When buyer strength increases and demand surpasses supply, the likelihood of a bullish trend continuation grows. Conversely, decreasing buyer strength and increasing seller strength may signal a potential bearish trend reversal.
🟣 Adjusting Timeframes and Calculation Methods
Users can customize the indicator's candlestick timeframe to align with their trading strategy. Additionally, they can switch between moving average and current candle modes to achieve more precise market analysis.
This indicator, with its accurate and visual data display, is a practical and reliable tool for market analysts and traders. Using it can help traders make better decisions and identify optimal entry and exit points.
🔵 Settings
Lower Time Frame Volume : This setting determines which timeframe the indicator should use to identify the price levels with the highest trade volume. These levels, displayed as black lines on the candlesticks, indicate prices where the most trades occurred.
It is recommended that users align this timeframe with their primary chart’s timeframe.
As a general rule :
If the main chart’s timeframe is low (e.g., 1-minute or 5-minute), it is better to keep this setting at a similarly low timeframe.
As the main chart’s timeframe increases (e.g., daily or weekly), it is advisable to set this parameter to a higher timeframe for more aligned data analysis.
Cumulative Mode :
Current Candle : Strength is calculated only for the current candlestick.
EMA (Exponential Moving Average) : The strength is calculated using an exponential moving average, suitable for identifying longer-term trends.
Calculation Period : The default period for the exponential moving average (EMA) is set to 21. Users can modify this value for more precise analysis based on their specific requirements.
Ultra Data : This option enables users to view more detailed data from various market sources, such as Forex, Crypto, or Stocks. When activated, the indicator aggregates and displays volume data from multiple sources.
🟣 Table Settings
Show Info Table : This option determines whether the information table is displayed on the chart. When enabled, the table appears in a corner of the chart and provides details about the strength of buyers and sellers.
Table Size : Users can adjust the size of the text within the table to improve readability.
Table Position : This setting defines the table’s placement on the chart.
🔵 Conclusion
The indicator introduced in this article is designed as an advanced tool for analyzing supply and demand dynamics in financial markets. By leveraging buyer and seller strength ratios and visually highlighting price levels with the highest trade volume, it aids traders in identifying key market zones.
Key features, such as adjustable analysis timeframes, customizable calculation methods, and precise volume data display, allow users to tailor their analyses to market conditions.
This indicator is invaluable for analyzing support and resistance levels derived from trade volumes, enabling traders to make more accurate decisions about entering or exiting trades.
By utilizing real market data and displaying the highest trade volume lines directly on the chart, it provides a precise perspective on market behavior. These features make it suitable for both novice and professional traders aiming to enhance their analysis and trading strategies.
With this indicator, traders can gain a better understanding of supply and demand dynamics and operate more intelligently in financial markets. By combining volume data with visual analysis, this tool provides a solid foundation for effective decision-making and improved trading performance. Choosing this indicator is a significant step toward refining analysis and achieving success in complex financial markets.
Candlestick analysis
ENIGMA ENDGAME with Dynamic Trend-Based FibonacciOverview:
The *ENIGMA ENDGAME with Dynamic Trend-Based Fibonacci* indicator is designed for traders seeking precision in identifying high-probability trade opportunities based on dynamic Fibonacci retracement levels. By combining trend analysis, Fibonacci filtering, and session-based logic, this indicator provides actionable buy and sell signals with a strong foundation in technical analysis.
Features:
1. **Dynamic Trend-Based Fibonacci Levels:**
- Automatically calculates Fibonacci retracement levels based on the current market trend (uptrend or downtrend).
- Levels dynamically adjust to the latest swing high/low, providing an evolving view of key price areas.
2. **Customizable Fibonacci Levels:**
- Configure up to four Fibonacci levels (e.g., 50%, 61.8%, 72%, 99%) to tailor the indicator to your trading strategy.
- Default levels are pre-set but can be adjusted for unique market approaches.
3. **Kill Zones for Session Filtering:**
- Filters trades based on predefined trading sessions (London and US).
- Easily configurable to match your trading hours or preferences.
4. **Buy and Sell Signals:**
- **Buy Signals**: Triggered during uptrends when the price pulls back to Fibonacci support levels.
- **Sell Signals**: Triggered during downtrends when the price retraces to Fibonacci resistance levels.
- Signal shapes (green triangles for buys, red triangles for sells) make them visually clear on the chart.
5. **Customizable Historical Signals:**
- Control how many past signals are displayed to maintain a clean chart while tracking historical performance.
6. **Alerts for Trade Opportunities:**
- Alerts for buy and sell signals allow traders to stay informed even when away from the screen.
How to Use:
1. **Trend-Based Fibonacci Analysis:**
- Enable the indicator on any instrument and timeframe.
- Monitor the Fibonacci levels dynamically calculated based on the most recent market trend (uptrend/downtrend).
2. **Kill Zones for Sessions:**
- Adjust the London and US session times under the **Inputs** tab to match your trading style.
- Signals outside these sessions are filtered, reducing noise during low-liquidity periods.
3. **Fibonacci Level Configuration:**
- Modify the Fibonacci retracement levels (e.g., 50%, 61.8%, etc.) under **Inputs** to fit your specific strategy.
- Ensure levels align with your desired retracement/resistance zones for trades.
4. **Buy/Sell Signal Confirmation:**
- Look for buy signals (green triangles) during uptrends when the price retraces to dynamic Fibonacci support levels.
- Look for sell signals (red triangles) during downtrends when the price retraces to dynamic Fibonacci resistance levels.
5. Alerts:
- Configure alerts under **TradingView Alerts** to be notified of buy or sell opportunities in real time.
Inputs and Default Settings:
- **Kill Zones:**
- London Start Hour: 1 UTC
- London End Hour: 23 UTC
- US Start Hour: 8 UTC
- US End Hour: 23 UTC
- **Swing Lookback Period:** 6
- **Fibonacci Levels:**
- Level 1: 50% (default)
- Level 2: 61.8% (default)
- Level 3: 72% (default)
- Level 4: 99% (default)
- **Maximum Historical Signals:** 30
- **Lookback Periods for Confirmation:**
- Minimum: 3
- Maximum: 18
Best Practices:
- Use this indicator in combination with price action or other tools to confirm trade setups.
- Ensure your Fibonacci levels align with known key levels on higher timeframes for increased accuracy.
- Monitor session activity using the kill zones to avoid trades during low-volume periods.
Intrabar BoxPlotThe Intrabar BoxPlot publication highlights an uncommon technique by displaying statistical intrabar Lower Timeframe (LTF) values on the chart.
🔶 USAGE
🔹 Middle 50% Boxes
By showing the middle 50% intrabar values through a box, we can more easily see where the intrabar activity is mainly situated.
The middle 50% intrabar values are referred to from here on as Interquartile range (IQR).
In this example, the successive IQRs form a channel where the price eventually breaks out.
Disproportionately distributed values can give insights which can be used to find potential support/resistance areas.
IQR gaps can give valuable information as well. Potentially, the price can return to these gaps.
Seeing the IQR areas against regular candles gives an alternative image of the underlying price movements.
🔹 Highest volume Price level
The script displays the price level with the highest volume situated, dependable on the user's source setting. Setting the source at 'close' will only display intrabar close values; the same goes for high, low, ...
As seen in the above example, the volume levels can aid in finding support/resistance.
🔹 Median
The location of the median off all intrabar values is displayed as a coloured dot: green when the close price is higher than the opening price and red if otherwise. The median can give valuable insights into price movements.
🔹 Outliers
Medium (white dots) and extreme (white X) outliers, in combination with the IQR box, can help identify potential areas of interest.
🔹 Volume Delta
When there is a discrepancy between the delta volume and direction of the candle, this will be displayed as follows:
Green candle: when the sum of the volume of red intrabars is higher than the sum of the volume of green intrabars, the candle will be coloured orange.
Red candle: when the sum of the volume of green intrabars is higher than the sum of the volume of red intrabars, the candle will be coloured blue.
🔹 Highlight Boxplot only
Probably the easiest way to display boxplot only is by changing the Bar's style to Bars .
🔶 DETAILS
All intrabar values (Lower TimeFrame - LTF) are sorted and evaluated. Values can be close , high , low , ... by selecting this in Settings ( source ).
The middle 50% of all values are displayed as a box; this contains the values between percentile 25 (p25) and percentile 75 (p75). The value of percentile rank 75 means 75% of all values are lower. The value of percentile rank 25 means 25% of all values are lower, or 75% is higher.
The difference between p75 and p25 is also known as Interquartile range (IQR)
IQR is used to check for outliers.
Wiki: Boxplot , Interquartile range
Extreme high: maximum value, higher than p75 + IQR*3
Max outlier high: maximum value, higher than p75 + IQR*1.5 but lower than p75 + IQR*3
Max: maximum value, lower than p75 + IQR*1.5
Min: minimum value, higher than p25 - IQR*1.5
Min outlier low: minimum value, lower than p25 - IQR*1.5 but higher than p25 - IQR*3
Extreme low: minimum value, lower than p25 - IQR*3
Max and min must not be interpreted with the current candle high/low.
🔹 Example: Length of chart-puppets
The following example can make it easier to digest. Forty "chart-puppets" are sorted by their length.
The p25 value is 97
The p50 value is 120
The p75 value is 149
75% of all "chart-puppets" are smaller than p75, and 25% is larger than p75.
50% of all "chart-puppets" are smaller than p50, and 50% is larger than p50 (= median).
25% of all "chart-puppets" are smaller than p25, and 75% is larger than p25.
IQR = 149 - 97 = 52
Extreme outlier limit max: p75 + IQR*3 = 149 + 52*3 = 305
Mild outlier limit max: p75 + IQR*1.5 = 149 + 52*1.5 = 227
Mild outlier limit min: p25 - IQR*1.5 = 97 - 52*1.5 = 19
Extreme outlier limit min: p25 - IQR*3 = 97 - 52*3 = -59
In this example there are no outliers to be found, all values are located between p25 - IQR*1.5 (19) and p75 + IQR*1.5. (227)
🔹 Source settings
Note that results are dependable on the chosen source (settings). When, for example, close is chosen as the source, only intrabar close prices are included. This means a low or high can stretch further then the min or max.
Here we can see different results with different source settings
🔹 LTF settings
When 'Auto' is enabled (Settings, LTF), the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure TradingView plans lower than Premium don't get an error.
Examples with current Daily TF (when Premium is enabled):
500 : 3 minute LTF
1500 (default): 1 minute LTF
5000: 30 seconds LTF (1 minute if Premium is disabled)
🔶 SETTINGS
Source: Set source at close, high, low,...
🔹 LTF
LTF: LTF setting
Auto + multiple: Adjusts the initial set LTF
Premium: Enable when your TradingView plan is Premium or higher
🔹 Intrabar Delta : Colors, dependable on different circumstances.
Up: Price goes up, with more bullish than bearish intrabar volume.
Up-: Price goes up, with more bearish than bullish intrabar volume.
Down: Price goes down, with more bearish than bullish intrabar volume.
Down+: Price goes down, with more bullish than bearish intrabar volume.
🔹 Table
Show table: Show details at the top right corner
Show TF: Show LTF at the bottom right corner
Text color/table size
See DETAILS for more information
Multiple Swing High/Low with SLExplanation:
Swing Highs and Lows:
The script detects swing highs and swing lows using ta.pivothigh() and ta.pivotlow() on a 3-minute basis.
Each swing high is drawn with a green line, and each swing low is drawn with a red line.
Stop-Loss (SL) Lines:
For each swing high, a stop-loss line is drawn 15 points below the swing high.
For each swing low, a stop-loss line is drawn 15 points above the swing low.
The SL line for swing highs is drawn in red, and the SL line for swing lows is drawn in blue.
Labels for Swing High/Low and SL:
Labels with text like "Swing High" or "Swing Low" are added at the swing points, and SL labels are added at the stop-loss levels.
These labels can be toggled on/off using the showSwingTags input.
Line Extension:
The line.set_x2() function ensures that the swing lines and SL lines are extended to the current bar as price moves.
Key Changes:
Removed Arrays: Instead of using arrays to store lines and labels, we now handle each line and label individually. This avoids the issue where complex types (line and label) were being stored in arrays, which Pine Script doesn't support directly.
Dynamic Creation: New lines and labels are dynamically created as new swings occur, and they stay on the chart until the script is removed or the chart is reloaded.
Simple y bien// © GainzAlgo
//@version=5
indicator('GainzAlgo Pro', overlay=true, max_labels_count=500)
candle_stability_index_param = input.float(0.5, 'Candle Stability Index', 0, 1, step=0.1, group='Technical', tooltip='Candle Stability Index measures the ratio between the body and the wicks of a candle. Higher - more stable.')
rsi_index_param = input.int(50, 'RSI Index', 0, 100, group='Technical', tooltip='RSI Index measures how overbought/oversold is the market. Higher - more overbought/oversold.')
candle_delta_length_param = input.int(5, 'Candle Delta Length', 3, group='Technical', tooltip='Candle Delta Length measures the period over how many candles the price increased/decreased. Higher - longer period.')
disable_repeating_signals_param = input.bool(false, 'Disable Repeating Signals', group='Technical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity')
GREEN = color.rgb(29, 255, 40)
RED = color.rgb(255, 0, 0)
TRANSPARENT = color.rgb(0, 0, 0, 100)
label_size = input.string('normal', 'Label Size', options= , group='Cosmetic')
label_style = input.string('text bubble', 'Label Style', , group='Cosmetic')
buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic')
sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic')
label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic')
stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param
rsi = ta.rsi(close, 14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
bull = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
else if label_style == 'triangle'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
last_signal := 'buy'
if bear and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
if label_style == 'text bubble'
label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size)
last_signal := 'sell'
alertcondition(bull, 'BUY Signals', 'New signal: BUY')
alertcondition(bear, 'SELL Signals', 'New signal: SELL')
MFS-3 Bars Pattern Strategy3 Bar Pattern Strategy
Detects an Ignite Candle followed by a Pullback Candle followed by a Confirmation Candle.
A Box will be drawn around the setup and three arrows will identify I, P, C (Ignite, Pullback, Confirmation) the setup.
The strategy will calculate a Stop Loss below the Low Price of the Ignite candle and a Take Profit at 2 times the Stop Loss giving a Risk to Reward Ratio of 1:2.
Extra conditions are included to reduce false triggers:
- A down trend must be detected using 3 SMA (Long, Medium, Short) that should be aligned from Long to Short one above the other.
- The Ignite Candle's body must be BELOW the Short SMA
An input form is available to adjust some strategy parameters.
Performance Note
----------------------
Trading conditions are very strict, so most of the time, no signals will be detected in the Strategy window.
This strategy should only be one of many strategies used for trade setups.
Hope you enjoy it.
Buy/Sell Side Liquidity//@version=5
indicator("Buy/Sell Side Liquidity", overlay=true)
// Parámetros
lookback_high = input.int(20, title="Buscar Máximos (Buy Side)", minval=1)
lookback_low = input.int(20, title="Buscar Mínimos (Sell Side)", minval=1)
show_labels = input.bool(true, title="Mostrar Etiquetas")
// Detectar máximos y mínimos recientes
highest_price = ta.highest(high, lookback_high)
lowest_price = ta.lowest(low, lookback_low)
// Detectar barras donde aparecen los máximos y mínimos
high_bar = ta.highestbars(high, lookback_high)
low_bar = ta.lowestbars(low, lookback_low)
// Dibujar líneas en las zonas de Buy/Sell Side Liquidity
bsl_line = line.new(x1=bar_index - lookback_high, y1=highest_price, x2=bar_index, y2=highest_price, color=color.new(color.blue, 70), width=2, extend=extend.right, style=line.style_dotted)
ssl_line = line.new(x1=bar_index - lookback_low, y1=lowest_price, x2=bar_index, y2=lowest_price, color=color.new(color.red, 70), width=2, extend=extend.right, style=line.style_dotted)
// Etiquetas opcionales para identificar zonas de liquidez
if show_labels
label.new(bar_index , highest_price, "BSL", style=label.style_label_down, color=color.blue, textcolor=color.white)
label.new(bar_index , lowest_price, "SSL", style=label.style_label_up, color=color.red, textcolor=color.white)
Multiple Swing High/Low with SLExplanation:
Swing Highs and Lows:
The script detects swing highs and swing lows using ta.pivothigh() and ta.pivotlow() on a 3-minute basis.
Each swing high is drawn with a green line, and each swing low is drawn with a red line.
Stop-Loss (SL) Lines:
For each swing high, a stop-loss line is drawn 15 points below the swing high.
For each swing low, a stop-loss line is drawn 15 points above the swing low.
The SL line for swing highs is drawn in red, and the SL line for swing lows is drawn in blue.
Labels for Swing High/Low and SL:
Labels with text like "Swing High" or "Swing Low" are added at the swing points, and SL labels are added at the stop-loss levels.
These labels can be toggled on/off using the showSwingTags input.
Line Extension:
The line.set_x2() function ensures that the swing lines and SL lines are extended to the current bar as price moves.
Key Changes:
Removed Arrays: Instead of using arrays to store lines and labels, we now handle each line and label individually. This avoids the issue where complex types (line and label) were being stored in arrays, which Pine Script doesn't support directly.
Dynamic Creation: New lines and labels are dynamically created as new swings occur, and they stay on the chart until the script is removed or the chart is reloaded.
Mean Reversion Strategy//@version=5
strategy("Mean Reversion Strategy", overlay=true)
// User Inputs
length = input.int(20, title="SMA Length") // Moving Average length
stdDev = input.float(2.0, title="Standard Deviation Multiplier") // Bollinger Band deviation
rsiLength = input.int(14, title="RSI Length") // RSI calculation length
rsiOverbought = input.int(70, title="RSI Overbought Level") // RSI overbought threshold
rsiOversold = input.int(30, title="RSI Oversold Level") // RSI oversold threshold
// Bollinger Bands
sma = ta.sma(close, length) // Calculate the SMA
stdDevValue = ta.stdev(close, length) // Calculate Standard Deviation
upperBand = sma + stdDev * stdDevValue // Upper Bollinger Band
lowerBand = sma - stdDev * stdDevValue // Lower Bollinger Band
// RSI
rsi = ta.rsi(close, rsiLength) // Calculate RSI
// Plot Bollinger Bands
plot(sma, color=color.orange, title="SMA") // Plot SMA
plot(upperBand, color=color.red, title="Upper Bollinger Band") // Plot Upper Band
plot(lowerBand, color=color.green, title="Lower Bollinger Band") // Plot Lower Band
// Plot RSI Levels (Optional)
hline(rsiOverbought, "Overbought Level", color=color.red, linestyle=hline.style_dotted)
hline(rsiOversold, "Oversold Level", color=color.green, linestyle=hline.style_dotted)
// Buy and Sell Conditions
buyCondition = (close < lowerBand) and (rsi < rsiOversold) // Price below Lower Band and RSI Oversold
sellCondition = (close > upperBand) and (rsi > rsiOverbought) // Price above Upper Band and RSI Overbought
// Execute Strategy
if (buyCondition)
strategy.entry("Buy", strategy.long)
if (sellCondition)
strategy.entry("Sell", strategy.short)
// Optional: Plot Buy/Sell Signals
plotshape(series=buyCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal")
plotshape(series=sellCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal")
Lara - K线包含关系合并 v0.1 Based on Chan Theory (缠论), this script simplifies candlestick charts (K線) by merging two overlapping candlesticks. The logic dynamically combines candlesticks into single entity. If two overlapping candlesticks form an upward relationship compared to the previous candlestick, the higher high and higher low are taken. Conversely, if they form a downward relationship, the lower high and lower low are taken.
Direnç Destek noktaları tahminleriOlası direnç ve destek noktalarını bir önceki günün açılış, kapanış, high ve low değerlerine göre tahminlemeye çalışıp grafik üzerinde gösteren kod dosyası.
Advanced MACD with Pressure Indication"Advanced MACD with Pressure Indication" is a powerful and visually enhanced version of the classic MACD indicator, designed to help traders analyze momentum and trend strength with greater clarity.
### Key Features:
1. **Customizable Parameters**:
- Fast EMA Length (default: 12)
- Slow EMA Length (default: 26)
- Signal SMA Length (default: 9)
2. **Dynamic Histogram Coloring**:
- The histogram color changes dynamically based on pressure:
- **Teal**: Positive histogram increasing.
- **Light Green**: Positive histogram decreasing.
- **Red**: Negative histogram decreasing.
- **Pink**: Negative histogram increasing.
3. **Highlighted MACD and Signal Lines**:
- MACD Line: Blue for trend visibility.
- Signal Line: Orange for clear crossover detection.
4. **Background Gradient for Pressure**:
- Subtle green or red background to reflect positive or negative momentum shifts.
5. **Simplified Visualization**:
- Histogram plotted with columns for easy differentiation of pressure changes.
This indicator is suitable for traders of all levels, offering insightful visual cues to identify trend reversals, momentum shifts, and potential entry/exit points. Optimize your trading strategy with this advanced MACD tool!
JerrySmart EMA AlgoThis strategy i hope to use it long term and make me money. It is used based on ema and volume it was created using AI i do not know if it will work but it looks promising. Lets see what happens
Cruzamento de Médias Móveis + Multi EMA + Tabela RSI📊 Indicador Multi-Timeframe com Cruzamento de Médias + RSI Comparativo BTC
Este indicador combina análise técnica avançada com comparativo de RSI do Bitcoin, oferecendo uma visão completa do mercado em múltiplos timeframes.
🔥 PRINCIPAIS FUNCIONALIDADES:
➤ Médias Móveis:
- Cruzamento de SMA 9 e 21 com sinais visuais
- Sistema multi-EMA (12, 26, 100, 200, 300)
- Sinais de entrada e saída automáticos
➤ Painel RSI Multi-Timeframe:
- Análise simultânea de 7 timeframes (5m, 15m, 1h, 4h, 1D, 1W, 1M)
- Comparativo automático com BTC/USDT
- Indicadores visuais de sobrecompra/sobrevenda
- Sistema de cores intuitivo
⚡ BENEFÍCIOS:
- Visualização rápida das condições de mercado
- Comparação instantânea com Bitcoin
- Identificação de divergências entre ativos
- Sinais claros de reversão e tendência
- Interface limpa e intuitiva
🔧 PERSONALIZÁVEL:
- Períodos das médias móveis ajustáveis
- Posicionamento flexível da tabela
- Período do RSI configurável
💡 IDEAL PARA:
- Day Trading
- Swing Trading
- Análise de Correlação com Bitcoin
- Identificação de Momentum
- Gestão de Risco
📌 INSTRUÇÕES:
1. Ajuste os períodos das médias conforme sua estratégia
2. Monitore os cruzamentos para sinais
3. Use o painel RSI para confirmar momentum
4. Compare com BTC para decisões mais informadas
🎯 OBJETIVO:
Fornecer uma ferramenta completa para análise técnica que combine tendência e momentum, permitindo decisões mais precisas baseadas na correlação com Bitcoin.
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3 PRICE ACTION CANDLESTICK RULESSimple rule to buy and sell
Buy when
Current high>previous high
current low>previous low
current close>previous high
Sell when
Current high<previous high
current low<previous low
current close<previous low
Trend-Following Strategy for NIFTY or BANK NIFTY//@version=5
strategy("Trend-Following Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=5)
// Input Parameters
macd_fast_length = input(12, title="MACD Fast Length")
macd_slow_length = input(26, title="MACD Slow Length")
macd_signal_length = input(9, title="MACD Signal Length")
sma_length = input(200, title="SMA Length")
atr_length = input(14, title="ATR Length")
atr_multiplier = input(1.5, title="ATR Stop Loss Multiplier")
// Calculate Indicators
= ta.macd(close, macd_fast_length, macd_slow_length, macd_signal_length)
sma = ta.sma(close, sma_length)
atr = ta.atr(atr_length)
// Define Conditions
longCondition = ta.crossover(macdLine, signalLine) and close > sma
shortCondition = ta.crossunder(macdLine, signalLine) and close < sma
// Stop Loss and Take Profit
longStopLoss = close - atr * atr_multiplier
shortStopLoss = close + atr * atr_multiplier
// Execute Trades
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", from_entry="Long", stop=longStopLoss)
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", from_entry="Short", stop=shortStopLoss)
// Plot Indicators
plot(sma, color=color.blue, linewidth=2, title="200 SMA")
hline(0, "Zero Line", color=color.gray)
plot(macdLine, color=color.green, title="MACD Line")
plot(signalLine, color=color.red, title="Signal Line")
EMA Crossover Strategy by QuantdexQuantdex EMA Crossover Strategy
The Quantdex EMA Crossover Strategy is a powerful trend-following system designed to identify high-probability trading opportunities. It utilizes three exponential moving averages (EMAs) to capture market momentum, confirm trends, and provide precise entry and exit points.
Key Components:
Short-Term EMA:
Reacts quickly to price movements, signaling potential trade entries based on momentum shifts.
Medium-Term EMA:
Filters out short-term market noise and helps validate intermediate trends.
Long-Term EMA:
Represents the overall market direction, serving as a critical trend filter and support/resistance indicator.
Strategy Rules:
Bullish Entry:
When the short-term EMA crosses above the medium-term EMA, and both are aligned above the long-term EMA.
Confirms strong upward momentum in a long-term uptrend.
Bearish Entry:
When the short-term EMA crosses below the medium-term EMA, and both are aligned below the long-term EMA.
Confirms strong downward momentum in a long-term downtrend.
Exit Rules:
Exit long positions when the short-term EMA crosses back below the medium-term EMA.
Exit short positions when the short-term EMA crosses back above the medium-term EMA.
Advantages:
Effectively identifies the dominant market trend using a multi-timeframe approach.
Minimizes false signals by requiring confirmation from all EMAs.
Adaptable for swing traders and position traders across various markets.
The Quantdex EMA Crossover Strategy combines simplicity with accuracy, making it a reliable tool for consistent and disciplined trading.
Lot Size Calculator for XAUUSDLot Size Calculator for XAUUSD – Professional Risk Management Tool
Descripción:
Este script está diseñado específicamente para traders que operan en XAUUSD (oro frente al dólar estadounidense) y buscan gestionar su riesgo de manera profesional y eficiente. Con una interfaz visual mejorada y cálculos precisos, esta herramienta te permitirá determinar el tamaño ideal de tu lote en función de tu balance, porcentaje de riesgo y Stop Loss.
Características principales:
1. Cálculo automático del tamaño del lote:
Basado en tu balance, porcentaje de riesgo y Stop Loss en pips.
2. Interfaz profesional:
• Una tabla elegante que muestra:
• Balance de la cuenta.
• Monto en riesgo (USD).
• Tamaño del lote calculado.
• Etiqueta flotante en el gráfico para una visualización rápida.
3. Totalmente personalizable:
• Ajusta parámetros como el balance, porcentaje de riesgo y tamaño del Stop Loss directamente desde el panel de inputs.
4. Optimización para XAUUSD:
Aunque está diseñado específicamente para oro (XAUUSD), puede adaptarse a otros instrumentos ajustando el valor por pip.
5. Fácil de usar:
Configúralo en segundos y obtén resultados en tiempo real.
¿Cómo usar este script?
1. Ingresa tu balance total en USD.
2. Define el porcentaje de riesgo que deseas asumir por operación.
3. Establece el tamaño de tu Stop Loss en pips.
4. Ajusta el valor por pip si operas tamaños de lote distintos al estándar (1 lote = $10 por pip).
5. El script calculará automáticamente el tamaño ideal del lote y lo mostrará en una tabla profesional y en una etiqueta flotante en tu gráfico.
Ideal para:
• Traders principiantes que buscan controlar su riesgo de forma estructurada.
• Traders avanzados que operan con estrategias en XAUUSD.
• Cualquier persona que desee una herramienta de cálculo de lotaje rápida y eficiente directamente en TradingView.
Notas:
• El valor por pip predeterminado es 10 USD por pip para 1 lote estándar. Ajusta este valor si operas tamaños de lote diferentes.
• Funciona mejor en gráficos de XAUUSD, pero puedes adaptarlo a otros instrumentos cambiando el valor por pip.
¡Optimiza tu gestión de riesgo y mejora tus resultados operativos con este script profesional!
SMMA on Standard Candles (Default Ticker)This TradingView indicator is designed to calculate and display a Smoothed Moving Average (SMMA) based on the closing prices of standard candles. The script is particularly useful for traders who prefer to visualize SMMA values specifically tied to the default ticker's standard candles, regardless of alternative data sources such as Heikin Ashi or custom tickers.
Support and Resistance TrendlinesStrategy:
Support: Identified as the lowest low over a specific period.
Resistance: Identified as the highest high over a specific period.
Dynamic Trendlines: We’ll use the concept of a rolling window to calculate the highest highs and lowest lows over the last n bars (you can adjust the number of bars for more sensitivity).
Explanation:
Lookback Period (length): The number of bars over which we calculate the support and resistance levels. You can adjust this value depending on the timeframe and the sensitivity you want for the trendlines.
Resistance: This is the highest high over the length of bars. We use ta.highest(high, length) to find the highest high within the specified lookback period.
Support: This is the lowest low over the length of bars. We use ta.lowest(low, length) to find the lowest low within the specified lookback period.
Plotting the Lines:
We plot the support and resistance as horizontal lines on the chart using plot().
Additionally, we create dynamic trendlines that update automatically with each new bar. The line.new function creates lines that can be modified dynamically as new price data comes in.
Line Persistence:
The line functions are used to create horizontal lines that persist across bars. The trendlines adjust their position as the bars move forward.
How It Works:
This indicator will automatically detect the highest and lowest prices over the last n bars and draw support (green line) and resistance (red line) levels on the chart.
The trendlines will adjust as the market evolves and provide visual reference points for potential areas of price reversal.
How to Use This Script:
Copy and paste the Pine Script code into the Pine Script Editor on TradingView.
Save the script, and then add it to your chart.
Adjust the Lookback Period input to suit your trading strategy and timeframe.
The support and resistance levels will be drawn dynamically, and the lines will update as new bars form.
Customizations:
You can modify the number of bars (length) used to calculate support and resistance, depending on the timeframes you're interested in.
If you need more advanced trendline drawing (such as drawing trendlines between significant high/low points or automatic adjustment to more complex patterns), you might need to implement more advanced logic using peaks and valleys or price action patterns.
Let me know if you need any further adjustments!
Simple y bien// © GainzAlgo
//@version=5
indicator('GainzAlgo Pro', overlay=true, max_labels_count=500)
candle_stability_index_param = input.float(0.5, 'Candle Stability Index', 0, 1, step=0.1, group='Technical', tooltip='Candle Stability Index measures the ratio between the body and the wicks of a candle. Higher - more stable.')
rsi_index_param = input.int(50, 'RSI Index', 0, 100, group='Technical', tooltip='RSI Index measures how overbought/oversold is the market. Higher - more overbought/oversold.')
candle_delta_length_param = input.int(5, 'Candle Delta Length', 3, group='Technical', tooltip='Candle Delta Length measures the period over how many candles the price increased/decreased. Higher - longer period.')
disable_repeating_signals_param = input.bool(false, 'Disable Repeating Signals', group='Technical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity')
GREEN = color.rgb(29, 255, 40)
RED = color.rgb(255, 0, 0)
TRANSPARENT = color.rgb(0, 0, 0, 100)
label_size = input.string('normal', 'Label Size', options= , group='Cosmetic')
label_style = input.string('text bubble', 'Label Style', , group='Cosmetic')
buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic')
sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic')
label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic')
stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param
rsi = ta.rsi(close, 14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
bull = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
else if label_style == 'triangle'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bull ? bar_index : na, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
last_signal := 'buy'
if bear and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
if label_style == 'text bubble'
label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size)
last_signal := 'sell'
alertcondition(bull, 'BUY Signals', 'New signal: BUY')
alertcondition(bear, 'SELL Signals', 'New signal: SELL')
3PA RULES+ EMA + DI Crossover1st set
Ema cross of 50 and 200
2nd set
Give buy signal when price cross above buy alert candle and sell signal when price cross below sell alert candle
Buy alert candle:
Current candle high > previous candle high
Current candle low > previous candle low
Current candle close > previous candle high
Sell alert candle :
Current candle high < previous candle high
Current candle low < previous candle low
Current candle close < previous candle low
3rd set
DI crossover
druw Alert Signalindikator ini didesain untuk trend signal jika garis ema sudah cross dan memberikan signal buy dan sell anda boleh melakukan transaksi
