SuperTrend + Relative Volume (Kernel Optimized)Introducing our new KDE Optimized Supertrend + Relative Volume Indicator!
This innovative indicator combines the power of the Supertrend indicator along with Relative Volume. It utilizes the Kernel Density Estimation (KDE) to estimate the probability of a candlestick marking a significant trend break or reversal.
❓How to Interpret the KDE %:
The KDE % is a crucial metric that reflects the likelihood that the current candlestick represents a true break in the SuperTrend line, supported by an increase in relative volume. It estimates the probability of a trend shift or continuation based on historical SuperTrend breaks and volume patterns:
Low KDE %: A lower probability that the current break is significant. Price action is less likely to reverse, and the trend may continue.
Moderate KDE - High KDE %: An increased possibility that a trend reversal or consolidation could occur. Traders should start watching for confirmation signals.
📌How Does It Work?
The SuperTrend indicator uses the Average True Range (ATR) to determine the direction of the trend and identifies when the price crosses the SuperTrend line, signaling a potential trend reversal. Here's how the KDE Optimized SuperTrend Indicator works:
SuperTrend Calculation: The SuperTrend indicator is calculated, and when the price breaks above (bullish) or below (bearish) the SuperTrend line, it is logged as a significant event.
Relative Volume: For each break in the SuperTrend line, we calculate the relative volume (current volume vs. the average volume over a defined period). High relative volume can suggest stronger confirmation of the trend break.
KDE Array Calculation: KDE is applied to the break points and relative volume data:
Define the KDE options: Bandwidth, Number of Steps, and Array Range (Array Max - Array Min).
Create a density range array using the defined number of steps, corresponding to potential break points.
Apply a Gaussian kernel function to the break points and volume data to estimate the likelihood of the trend break being significant.
KDE Value and Signal Generation: The KDE array is updated as each break occurs. The KDE % is calculated for the breakout candlestick, representing the likelihood of the trend break being significant. If the KDE value exceeds the defined activation threshold, a darker bullish or bearish arrow is plotted after bar confirmation. If the KDE value falls below the threshold, a more transparent arrow is drawn, indicating a possible but lower probability break.
⚙️Settings:
SuperTrend Settings:
ATR Length: The period over which the Average True Range (ATR) is calculated.
Multiplier: The multiplier applied to the ATR to determine the SuperTrend threshold.
KDE Settings:
Bandwidth: Determines the smoothness of the KDE function and the width of the influence of each break point.
Number of Bins (Steps): Defines the precision of the KDE algorithm, with higher values offering more detailed calculations.
KDE Threshold %: The level at which relative volume is considered significant for confirming a break.
Relative Volume Length: The number of historic candles used in calculating KDE %
波動率
G-VIDYA | QuantEdgeBIntroducing G-VIDYA by QuantEdgeB
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🔹 Overview
The G-VIDYA | QuantEdgeB is a dynamic trend-following indicator that enhances market trend detection using Gaussian smoothing and an adaptive Variable Index Dynamic Average (VIDYA). It is designed to reduce noise, improve responsiveness, and adapt to volatility, making it a powerful tool for traders looking to capture long-term trends efficiently.
By integrating ATR-based filtering, the indicator creates a dynamic support and resistance band around VIDYA, allowing for more accurate trend confirmations. Additionally, traders have the option to enable trade labels for clearer visual signals.
This indicator is well-suited for medium to long-term trend traders, combining mathematical precision with market adaptability for robust trading strategies.
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🚀 Key Features
1. Gaussian Smoothing → Reduces market noise and smoothens price action.
2. VIDYA Adaptive Calculation → Adjusts dynamically based on market volatility.
3. ATR-Based Filtering → Creates a volatility-driven range around VIDYA.
4. Dynamic Trend Confirmation → Identifies bullish and bearish momentum shifts.
5. Trade Labels (Optional) → Can display Long/Cash labels on chart for better clarity.
6. Customizable Color Modes → Offers multiple visual themes for personalized experience.
7. Automated Alerts → Sends buy/sell alerts for crossover trend changes.
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📊 How It Works
1. Gaussian Smoothing is applied to the closing price to remove noise and improve signal clarity.
2. VIDYA Calculation dynamically adjusts to price movements, making it more reactive during high-volatility periods and stable in low-volatility environments.
3. ATR-Based Filtering establishes a dynamic range (Upper & Lower ATR Bands) around VIDYA:
- If price breaks above the upper ATR band, it signals a potential long trend.
- If price breaks below the lower ATR band, it signals a potential short trend.
4. The indicator assigns color-coded candles based on trend direction:
- Bullish Trend → Blue/Green (Uptrend)
- Bearish Trend → Red/Maroon (Downtrend)
5. Labels & Alerts (Optional)
- Users can activate Long/Cash labels to mark buy/sell opportunities.
- Built-in alerts trigger automatic notifications when trend direction changes.
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🎨 Visual Representation
- VIDYA Line → A smooth, trend-following line that dynamically adjusts to market conditions.
- Upper & Lower ATR Bands → Establishes a volatility-based corridor around VIDYA.
- Bar Coloring → Candles change color according to the detected trend.
- Long/Short Labels (Optional) → Displays trade entry/exit signals (can be enabled/disabled).
- Alerts → Generates trade notifications based on trend reversals.
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⚙️ Default Settings
- Gaussian Smoothing
- Length: 4
- Sigma: 2.0
- VIDYA Settings
- VIDYA Length: 46
- Standard Deviation Length: 28
- ATR Settings
- ATR Length: 14
- ATR Multiplier: 1.3
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💡 Who Should Use It?
✅ Trend Traders → Those who rely on medium-to-long-term trends for trading decisions.
✅ Swing Traders → Ideal for traders who want to capture trend reversals and ride momentum.
✅ Quantitative Analysts → Provides statistically driven smoothing and adaptive trend detection.
✅ Risk-Averse Traders → ATR filtering helps manage market volatility effectively.
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Conclusion
The G-VIDYA | QuantEdgeB is an advanced trend-following indicator that combines Gaussian smoothing, adaptive VIDYA filtering, and ATR-based dynamic trend analysis to deliver robust and reliable trade signals.
✅ Key Takeaways
📌 Adaptive & Dynamic: Adjusts to market conditions, making it effective for trend-following strategies.
📌 Noise Reduction: Gaussian smoothing helps filter out short-term fluctuations, improving signal clarity.
📌 Volatility Awareness: ATR-based filtering ensures better handling of market swings and trend reversals.
By blending mathematical precision and quantitative market analysis, G-VIDYA | QuantEdgeB offers a powerful edge in trend trading strategies.
🔹 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.
VIDYA For-Loop | QuantEdgeB Introducing VIDYA For-Loop by QuantEdgeB
Overview
The VIDYA For-Loop indicator by QuantEdgeB is a dynamic trend-following tool that leverages Variable Index Dynamic Average (VIDYA) along with a rolling loop function to assess trend strength and direction. By utilizing adaptive smoothing and a recursive loop for threshold evaluation, this indicator provides a more responsive and robust signal framework for traders.
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Key Components & Features
📌 VIDYA (Variable Index Dynamic Average)
- Adaptive Moving Average that adjusts its responsiveness based on market volatility.
- Uses a dynamic smoothing constant based on standard deviations.
- Allows for better trend detection compared to static moving averages.
📌 Loop Function (Rolling Calculation)
- A for-loop algorithm continuously compares VIDYA values over a defined lookback range.
- Measures the number of times price trends higher or lower within the rolling window.
- Generates a momentum-based score that helps quantify trend persistence.
📌 Trend Signal Calculation
- A long signal is triggered when the loop score exceeds the upper threshold.
- A short signal is triggered when the loop score falls below the lower threshold.
- The result is a clear directional bias that adapts to changing market conditions.
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How It Works in Trading
✅ Detects Trend Strength – By measuring cumulative movements within a window.
✅ Filters Noise – Uses adaptive smoothing to avoid whipsaws.
✅ Dynamic Thresholds – Enables customized entry & exit conditions.
✅ Color-Coded Candles – Provides visual clarity for traders.
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Visual Representation
Trend Signals:
🔵 Blue Candles – Strong Uptrend
🔴 Red Candles – Strong Downtrend
Thresholds:
📈 Long Threshold – Upper bound for bullish confirmation.
📉 Short Threshold – Lower bound for bearish confirmation.
Labels & Annotations (Optional):
✅ Long & Short Labels can be turned on or off for trade signal clarity.
📊 Display of entry & exit points based on loop calculations.
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Settings:
VIDYA Length: 2 → Number of bars for VIDYA calculation.
SD Length: 5 → Standard deviation length for VIDYA calculation.
Source: Close → Defines the input data source (Close price).
Start Loop: 1 → Initial lookback period for the loop function.
End Loop: 60 → Maximum lookback range for trend scoring.
Long Threshold: 40 → Upper bound for a long signal.
Short Threshold: 10 → Lower bound for a short signal.
Extra Plots: True → Enables additional moving averages for visualization.
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Conclusion
The VIDYA For-Loop by QuantEdgeB is a next-gen adaptive trend filter that combines dynamic smoothing with recursive trend evaluation, making it an invaluable tool for traders seeking precision and consistency in their strategies.
🔹 Who should use VIDYA For Loop :
📊 Trend-Following Traders – Helps identify sustained trends.
⚡ Momentum Traders – Captures strong price swings.
🚀 Algorithmic & Systematic Trading – Ideal for automated entries & exits.
🔹 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.
3 Red / 3 Green Strategy with Volatility CheckStrategy Name: 3 Red / 3 Green Strategy with Volatility Check by AlgoTradeKit
Overview
This long-only strategy is designed for daily bars on NASDAQ (or similar instruments) and combines simple price action with a volatility filter. It “tells it like it is” – enter when the market shows weakness, but only in sufficiently volatile conditions, and exit either on signs of a reversal or after a set number of days.
Entry Conditions
- Price Action :
Enter a long position when there are 3 consecutive red days (each day's close is below its open).
- Volatility Filter :
The entry is allowed only if the current ATR (Average True Range) calculated over the specified ATR Period (default 12) is greater than its 30-day simple moving average. This ensures the market has enough volatility to justify the trade.
Exit Conditions
- Reversal Signal :
Exit the long position when 3 consecutive green days occur (each day's close is above its open), signaling a potential reversal.
- Time Limit :
Regardless of market conditions, any open trade is closed if it reaches the Maximum Trade Duration (default 22 days). This helps limit exposure during stagnant or unfavorable market conditions.
- You can toggle the three-green-day exit if you want to isolate the time-based exit.
Input Parameters
- Maximum Trade Duration (days): Default is 22 days.
- ATR Period: Default is 12.
- Use 3 Green Days Exit: Toggle to enable or disable the three-green-day exit condition.
How It Works
1. Entry: The strategy monitors daily price action for 3 consecutive down days. When this occurs and if the market is volatile enough (current ATR > 30-day ATR average), it opens a long position.
2. Exit: The position is closed if the price action reverses with 3 consecutive up days or if the trade has been open for the maximum allowed duration - i.e. use it on daily chart.
Risk Management
- The built-in maximum trade duration prevents trades from lingering too long in a non-trending or consolidating market.
- The volatility filter helps ensure that trades are only taken when there is sufficient price movement, potentially increasing the odds of a meaningful move.
Disclaimer
This strategy is provided “as is” without any warranties. It is essential to backtest and validate the performance on your specific instrument and market conditions before deploying live capital. Trading involves significant risk, and you should adjust parameters to match your risk tolerance.
Test and tweak this strategy to see if it fits your trading style and market conditions. Happy trading!
3x Supertrend + EMA200 Signal Buy/Sell [nsen]The indicator uses signals from three Supertrend lines to determine whether to trade Buy or Sell, with the assistance of a moving average for bias.
Buy/Sell signals are generated when the conditions are met:
A Buy signal is triggered when all three Supertrend lines indicate a bullish trend and are above the EMA.
A Sell signal is triggered when all three Supertrend lines indicate a bearish trend and are below the EMA.
Indicator ใช้สัญญาณจาก Supertrend ทั้งหมด 3 เส้น โดยใช้ในการกำหนดว่าจะเลือกเทรด Buy หรือ Sell โดยการใช้ moveing average เข้ามาช่วยในการ bias
แสดงสัญญาณ Buy/Sell เมื่อเข้าเงื่อนไข
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bullish และอยู่เหนือเส้น EMA จะเปิดสัญญาณ Buy
- Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bearish และอยู่ใต้เส้น EMA จะเปิดสัญญาณ Sell
Volatility Price FlowCapitalize on market volatility with our new volatility price flow indicator. We have designed this indicator to process historical price movements and indicate when price may have reached exhaustion in the context of current volatility.
This is achieved by taking the price deviation from a user defined moving average, and applying a weighting to the deviations from the candle body and candle wick on both buy side and sell side, over a user defined period. The period of the base moving average, type of moving average and the period of the historical price deviations can all be modified. This creates a typical 'band' style indicator, though with a unique characteristic that the buy and sell side vary independently as well as the band expansion being based on weighted variables tied to the actual price changes, rather than just a standard deviation the moves uniformly.
Additionally, these bands can be merged with an anchored vwap - we do this so that the deviations of price from the moving average can include a more volume based approach to identifying potential pivots.
The end result is an indicator that reflects the current market price movements, identifies and capitalizes on impulsive or beginning moves to indicate potential tops / bottoms / reversals.
The signals are simple - anytime price closes within a band, having been outside the band, a signal is displayed. As a basic guide to setting the indicator up for the first time, we suggest reducing all of the multipliers to a value less than 1. Then gradually increase each one, until the signals reduce in quantity and improve in quality, starting with the price deviation multiplier, then the volatility multiplier and finally the expansion multiplier.
Last of all, alerts can be created based on the current chart timeframe and indicator settings, simply by adding an alert that uses the built in buy or sell signal.
Note: We cannot guarantee the accuracy of the signals provided, since the user creates the signals by modifying the settings, and as such we can take no responsibility for any trading losses incurred using the indicator and highly encourage all users to manage their risk and only risk what you can afford to lose.
25-75 Percentile SuperTrend | Mattes25-75 Percentile SuperTrend | Mattes
Overview
The 25-75 Percentile SuperTrend is an advanced trend-following indicator that enhances the traditional SuperTrend concept by incorporating percentile-based smoothing. Instead of using a simple moving average or median price, this indicator calculates the 25th and 75th percentiles over a user-defined period. These percentiles act as dynamic trend levels, adjusting more responsively to price volatility while reducing noise.
How It’s Calculated
Percentile Smoothing:
The 25th percentile of the selected source (low-end smoothing).
The 75th percentile of the selected source (high-end smoothing).
SuperTrend Logic:
The upper band is set at the 75th percentile + ATR multiplier.
The lower band is set at the 25th percentile - ATR multiplier.
The trend flips when the price crosses above/below these dynamic bands.
Signal Generation :
A bullish trend occurs when price remains above the lower band.
A bearish trend occurs when price remains below the upper band.
Trend shifts are highlighted with colored bars and lines for easy visualization.
How It Differs From Traditional SuperTrend
Uses Percentiles Instead of a Moving Average:
Traditional SuperTrend relies on ATR-based offsets from a moving average.
This version replaces the moving average with percentile smoothing, which adapts better to price behavior.
Better Noise Filtering:
Since percentiles are less sensitive to outliers, this indicator reduces false signals in choppy markets.
More Adaptive to Market Conditions:
The percentile smoothing dynamically adjusts trend detection based on price distribution rather than fixed calculations.
Why It’s Useful
✅ Reduces Whipsaws: Helps minimize false breakouts by using percentile-based bands instead of traditional ATR-only bands.
✅ Works in Different Market Conditions: Effective in both trending and ranging environments due to its adaptive nature.
✅ Enhances Trend Confidence: Provides clearer signals by filtering noise more effectively than standard SuperTrend indicators.
Application Examples
Trend Following: Use it to identify strong upward or downward trends.
Stop-Loss Placement: The upper and lower bands can serve as dynamic stop-loss levels.
Breakout Confirmation: Trend flips can confirm breakout signals from other indicators.
Mean Reversion Strategy Filtering: The 25-75 range helps identify strong versus weak reversals.
Risks & Disclaimers
Not a Standalone Strategy: This indicator should be used with other confirmation tools like volume analysis, momentum oscillators, or support/resistance levels.
False Signals in Sideways Markets: Although it reduces noise, choppy markets can still generate occasional false trend flips.
Market Adaptation Required: The best parameters may vary depending on the asset and timeframe.
This indicator was heavily inspired and influenced by the IRS/viResearch Median SuperTrend, improving upon its concept by transforming its median based calculation into a more responsive & effective counterpart of its former self.
Shoutout to all my Masterclass Brothers and L4 Gs !
Advanced Candlestick Pattern DetectorWhat Does This Indicator Do?
This indicator looks at the way price moves in the market using candlesticks (those red and green bars you see on charts). It tries to find special patterns like Bullish Engulfing, Hammer, Doji, and others. When one of these patterns shows up, the indicator checks a bunch of filters to decide if the pattern is strong enough to be a signal to buy or sell.
The Main Parts of the Indicator
1. Candlestick Pattern Detection
Bullish Engulfing:
Imagine you see a small down candle (red) and then a big up candle (green) that completely “covers” the red one. That’s a bullish engulfing pattern. It can signal that buyers are taking over.
Bearish Engulfing:
The opposite of bullish engulfing. A small up candle (green) is followed by a big down candle (red) that covers the previous candle. This suggests sellers might be in control.
Hammer & Shooting Star:
Hammer: A candle with a very short body and a long shadow at the bottom. It shows that buyers stepped in after a drop.
Shooting Star:
Similar to the hammer but with a long shadow on top. It can indicate that sellers are starting to push the price down.
Doji:
A candle with almost no body. This means the opening and closing prices are very close. It shows indecision in the market.
Harami Patterns (Bullish & Bearish):
These are two-candle patterns where the second candle is completely inside the body of the first candle. They signal that the previous trend might be about to change.
Morning Star & Evening Star:
These are three-candle patterns.
Morning Star:
Often seen at the bottom of a downtrend, it can signal a reversal to an uptrend.
Evening Star:
Seen at the top of an uptrend, it can signal that the price may soon go down.
2. Filters: Making the Signals Smarter
The indicator doesn’t just rely on patterns. It uses several “filters” to decide if a pattern is strong enough to trade on. Here’s what each filter does:
a. Adaptive Thresholds (ATR-Based)
What It Is:
The indicator uses something called ATR (Average True Range) to see how much the price is moving (volatility).
How It Works:
Instead of using fixed numbers to decide if a candle is a Hammer or a Doji, it adjusts these numbers based on current market activity.
User Settings:
Use Adaptive Thresholds: Turn this on to let the indicator adjust automatically.
Body Factor, Shadow Factor, Doji Factor: These numbers are multipliers that decide how small or big the body and shadows of the candle should be. You can change them if you want the indicator to be more or less sensitive.
b. Volume Filter
What It Is:
Volume shows how many trades are happening.
How It Works:
The filter checks if the current volume is higher than the average volume (multiplied by a set factor). This helps ensure that the signal isn’t coming from a very quiet market.
User Settings:
Use Volume Filter: Turn this on if you want to ignore signals when there’s not much trading.
Volume MA Period & Volume Multiplier: These settings determine what “normal” volume is and how much higher the current volume must be to count.
c. Multi-Timeframe Trend Filter
What It Is:
This filter looks at a bigger picture by using a moving average (MA) from a higher timeframe (for example, daily charts).
How It Works:
For a bullish (buy) signal, the indicator checks if the price is above this MA.
For a bearish (sell) signal, the price must be below the MA.
User Settings:
Use Multi-Timeframe Trend Filter: Enable or disable this filter.
Higher Timeframe for Trend: Choose which timeframe (like Daily) to use.
Trend MA Type (SMA or EMA) & Trend MA Period: Choose the type of moving average and how many candles to average.
d. Additional Trend Filters (ADX & RSI)
ADX Filter:
What It Is:
ADX stands for Average Directional Index. It measures how strong a trend is.
How It Works:
If the ADX is above a certain threshold, it means the trend is strong.
User Setting:
ADX Threshold: Set the minimum strength the trend should have.
RSI Filter:
What It Is:
RSI (Relative Strength Index) tells you if the price is overbought (too high) or oversold (too low).
How It Works:
For a buy signal, RSI should be low (under a set threshold).
For a sell signal, RSI should be high (above a set threshold).
User Settings:
RSI Buy Threshold & RSI Sell Threshold: These set the levels for buying or selling.
3. How the Final Signal Is Determined
For a signal (buy or sell) to be generated, the indicator first checks if one of the candlestick patterns is present. Then it goes through all these filters (trend, volume, ADX, RSI). Only if everything is in line will it show:
A BUY signal when all bullish conditions are met.
A SELL signal when all bearish conditions are met.
4. Visual Elements on the Chart
Trend MA Line:
A blue line is drawn on your chart showing the moving average from the higher timeframe (if you enable the trend filter). This helps you see the overall direction of the market.
Labels on the Chart:
When a signal is detected, you’ll see:
A BUY label below the candle (green).
A SELL label above the candle (red).
Background Colors:
The chart background might change slightly (green for bullish and red for bearish) to give you a quick visual cue.
Histogram:
At the bottom, there is a histogram that shows +1 for bullish signals, -1 for bearish signals, and 0 when there’s no clear signal.
5. Alerts
Alerts are built into the indicator so you can get a notification when a signal appears. The alert messages are fixed strings, meaning they always say something like “BUY signal on at price .” You can set up these alerts in TradingView to be notified via sound, email, or pop-up.
How to Use and Adjust the Filters
Deciding on Patterns:
You can choose which candlestick patterns you want to detect by toggling the options (e.g., Bullish Engulfing, Hammer, etc.).
Adjusting Adaptive Thresholds:
If you feel that the indicator is too sensitive (or not sensitive enough) during volatile times, adjust the Body Factor, Shadow Factor, and Doji Factor. These change how the indicator recognizes different candle shapes based on market movement.
Volume Filter Settings:
Use Volume Filter:
Turn this on if you want to ignore signals when there’s not enough trading activity.
Adjust the Volume MA Period and Volume Multiplier to change what “normal” volume is for your chart.
Multi-Timeframe Trend Filter Settings:
Choose a higher timeframe (like Daily) to see the bigger picture trend. Select the type of moving average (SMA or EMA) and its period. This filter ensures you only trade in the direction of the overall trend.
ADX & RSI Filters:
ADX:
Adjust the ADX Threshold if you want to change the minimum strength of the trend needed for a signal.
RSI:
Set the RSI Buy Threshold (for oversold conditions) and RSI Sell Threshold (for overbought conditions) to refine when a signal is valid.
Summary
This indicator is like having a smart assistant that not only looks for specific price patterns (candlesticks) but also checks if the overall market conditions are right using several filters. By combining:
Pattern Detection
Adaptive thresholds (based on ATR)
Volume Checks
Multi-Timeframe Trend Analysis
Additional Trend Strength and Overbought/Oversold Indicators (ADX & RSI)
...it helps you decide if it might be a good time to buy or sell. You can customize each part to fit your trading style, and with the built-in alerts, you can be notified when everything lines up.
Feel free to adjust the settings to see how each filter changes the signals on your chart. Experimenting with these will help you learn how the market behaves and how you can best use the indicator for your own strategy!
(Optimized) Volume Based Colored Bars Volume Based Colored Bars (VCB)
This indicator analyzes the relationship between price action and volume to provide visual cues for traders. It colors the price bars based on whether the bar's volume is high, medium, or low relative to the moving average of volume. Additionally, it distinguishes between bullish (price closed higher than it opened) and bearish (price closed lower than it opened) bars, offering a quick and intuitive way to assess market sentiment and activity.
Key Features:
Volume Classification:
High Volume: Volume is greater than 1.5 times the moving average.
Medium Volume: Volume is between 0.5 and 1.5 times the moving average.
Low Volume: Volume is less than 0.5 times the moving average.
Price Action Analysis:
Bullish Bars: Bars where the closing price is higher than the opening price.
Bearish Bars: Bars where the closing price is lower than the opening price.
Bar Colors:
Bearish High Volume: Dark red.
Bearish Medium Volume: Red.
Bearish Low Volume: Orange.
Bullish High Volume: Dark green.
Bullish Medium Volume: Lime green.
Bullish Low Volume: Aquamarine.
This indicator helps traders quickly identify when price movements are supported by significant volume, offering potential insights into market strength or weakness. Ideal for both novice and experienced traders looking for an edge in their analysis.
Red & Green Zone ReversalOverview
The “Red & Green Zone Reversal” indicator is designed to visually highlight potential reversal zones on your chart by using a combination of Bollinger Bands and the Relative Strength Index (RSI).
It overlays on the chart and provides background color cues—red for oversold conditions and green for overbought conditions—along with corresponding alert triggers.
Key Components
Overlay: The indicator is set to overlay the chart, meaning its visual cues (colored backgrounds) are drawn directly on the price chart.
Bollinger Bands Calculation
Period: A 20-period simple moving average (SMA) is calculated from the closing prices.
Standard Deviation Multiplier: A multiplier of 2.0 is applied.
Bands Defined:
Basis: The 20-period SMA.
Deviation: Calculated as 2 times the standard deviation over the same period.
Upper Band: Basis plus the deviation.
Lower Band: Basis minus the deviation.
RSI Calculation
Period: The RSI is computed over a 14-period span using the closing prices.
Thresholds:
Oversold Threshold: 30 (used for the red zone condition).
Overbought Threshold: 70 (used for the green zone condition).
Zone Conditions
Red Zone (Oversold):
Criteria: The price is below the lower Bollinger Band and the RSI is below 30.
Purpose: Highlights a situation where the asset may be deeply oversold, signaling a potential reversal to the upside.
Green Zone (Overbought):
Criteria: The price is above the upper Bollinger Band and the RSI is above 70.
Purpose: Indicates that the asset may be overbought, potentially signaling a reversal to the downside.
Visual and Alert Components
Background Coloring:
Red Background: Applied when the red zone condition is met (using a semi-transparent red).
Green Background: Applied when the green zone condition is met (using a semi-transparent green).
Alerts:
Red Alert: An alert condition titled “Deep Oversold Alert” is triggered with the message “Deep Oversold Signal triggered!” when the red zone criteria are satisfied.
Green Alert: Similarly, an alert condition titled “Deep Overbought Alert” is triggered with the message “Deep Overbought Signal triggered!” when the green zone criteria are met.
Important Disclaimers
Not Financial Advice:
This indicator is provided for informational and analytical purposes only. It does not constitute trading advice or a recommendation to buy or sell any asset. Traders should use it as one of several tools in their analysis and should perform their own due diligence.
Risk Management:
Trading inherently involves risk. Past performance is not indicative of future results. Always implement appropriate risk management and use stop losses where necessary.
Summary
In summary, the “Red & Green Zone Reversal” indicator uses Bollinger Bands and RSI to detect extreme market conditions. It visually marks oversold (red) and overbought (green) conditions directly on the chart and offers alert conditions to help traders monitor these potential reversal points.
Enjoy!!
Donchian Trend Ribbon MTF HeatmapIf you're familiar with Donchian Channels, you probably already know how they work, so I won’t dive too deep into that.
This indicator builds upon the concept of Donchian Channels to create a Donchian Trend Ribbon MultiTimeframe (MTF) Heatmap. The aim is to visualize trend strength across multiple timeframes and provide a clearer picture of market direction.
How it Works:
Main Trend Calculation: The indicator calculates the main trend direction based on a user-defined period (e.g., 20 periods). You can adjust this length to fit your trading strategy.
Secondary Trend Analysis: It also calculates the trend direction for each of the 9 lower lengths. For example, if you set the length to 20, the secondary lengths would be 19, 18, ..., down to 11.
Trend Alignment Check: The indicator compares the trend direction from the lower lengths to the main trend direction to determine alignment.
Trend Ribbon Coloring: Based on this alignment, the trend ribbon changes color to reflect the strength and direction of the trend. The color intensity adjusts as the strength of the trend shifts.
Trend Colors:
Yellow: Strong uptrend
Dark Yellow: Weak uptrend
Red: Strong downtrend
Dark Red: Weak downtrend
Gray: Neutral or no strong trend
Additionally, weak trends are highlighted with emojis (😯 for weak long and 😡 for weak short), making it easy to spot when trends are fading.
Warning:
Entry points provided by this indicator may also indicate potential trend reversals, so use caution.
Consider utilizing a stop-loss line if you plan to take positions based on the signals generated by this tool.
Notes :
Non-Repainting: This indicator does not repaint, providing reliable historical signals.
Educational Use: The indicator is designed primarily for educational purposes and has not been backtested. Please use it as part of your broader analysis before making trading decisions.
Original Code by:
The original version of this code was created by LonesomeTheBlue. This enhanced version includes additional features such as multi-timeframe analysis and trend strength visualization.
Day Ranges (IST)Divides trading session into parts - 09:15 am to 12:00 noon and 12:00 noon to 15:30pm
ATR Levels and Zones with Signals📌 ATR Levels and Zones with Signals – User Guide Description
🔹 Overview
The ATR Levels and Zones with Signals indicator is a volatility-based trading tool that helps traders identify:
✔ Key support & resistance levels based on ATR (Average True Range)
✔ Buy & Sell signals triggered when price enters key ATR zones
✔ Breakout confirmations to detect high-momentum moves
✔ Dynamic Stop-Loss & Take-Profit suggestions
Unlike traditional ATR bands, this indicator creates layered ATR zones based on multiple ATR multipliers, allowing traders to gauge volatility and risk-adjust their trading strategies.
🔹 How It Works
🔸 The script calculates a baseline SMA (Simple Moving Average) of the price.
🔸 ATR (Average True Range) is then used to create six dynamic price levels above & below the baseline.
🔸 These levels define different risk zones—higher levels indicate increased volatility and potential trend exhaustion.
📈 ATR Zones Explained
🔹 Lower ATR Levels (Buying Opportunities)
📉 Lower Level 1-2 → Mild Oversold Zone (Potential trend continuation)
📉 Lower Level 3-4 → High Volatility Buy Zone (Aggressive traders start scaling in)
📉 Lower Level 5-6 → Extreme Oversold Zone (High-Risk Reversal Area)
🔹 If price enters these lower zones, it may indicate a potential buying opportunity, especially if combined with trend reversal confirmation.
🔹 Upper ATR Levels (Selling / Take Profit Zones)
📈 Upper Level 1-2 → Mild Overbought Zone (Potential pullback area)
📈 Upper Level 3-4 → High Volatility Sell Zone (Aggressive traders start scaling out)
📈 Upper Level 5-6 → Extreme Overbought Zone (High-Risk for Reversal)
🔹 If price enters these upper zones, it may indicate a potential selling opportunity or trend exhaustion, especially if momentum slows.
🔹 Sensitivity Modes
🔹 Aggressive Mode (More Frequent Signals) → Triggers buy/sell signals at Lower/Upper Level 3 & 4
🔹 Conservative Mode (Stronger Confirmation) → Triggers buy/sell signals at Lower/Upper Level 5 & 6
📌 Choose the mode based on your trading style:
✔ Scalpers & short-term traders → Use Aggressive Mode
✔ Swing & trend traders → Use Conservative Mode for stronger confirmations
🚀 How to Use the Indicator
🔹 For Trend Trading:
✅ Buy when price enters the lower ATR zones (especially in uptrends).
✅ Sell when price enters the upper ATR zones (especially in downtrends).
🔹 For Breakout Trading:
✅ Breakout Buy: Price breaks above Upper ATR Level 3 → Momentum entry for trend continuation
✅ Breakout Sell: Price breaks below Lower ATR Level 3 → Momentum short opportunity
🔹 Stop-Loss & Take-Profit Suggestions
🚨 Stop-Loss: Suggested at Lower ATR Level 6 (for longs) or Upper ATR Level 6 (for shorts)
🎯 Take-Profit: Suggested at Upper ATR Level 3 (for longs) or Lower ATR Level 3 (for shorts)
🔹 Why This Indicator is Unique
✔ Multiple ATR layers for better risk-adjusted trading decisions
✔ Combines ATR-based zones with SMA trend confirmation
✔ Both aggressive & conservative trading modes available
✔ Includes automatic stop-loss & take-profit suggestions
✔ Breakout signals for momentum traders
📢 Final Notes
✅ Free & open-source for the TradingView community!
⚠ Risk Warning: Always confirm signals with other confluences (trend, volume, support/resistance) before trading.
📌 Developed by: Maddog Blewitt
📩 Feedback & improvements are welcome! 🚀
Cash And Carry Arbitrage BTC Compare Month 6 by SeoNo1Detailed Explanation of the BTC Cash and Carry Arbitrage Script
Script Title: BTC Cash And Carry Arbitrage Month 6 by SeoNo1
Short Title: BTC C&C ABT Month 6
Version: Pine Script v5
Overlay: True (The indicators are plotted directly on the price chart)
Purpose of the Script
This script is designed to help traders analyze and track arbitrage opportunities between the spot market and futures market for Bitcoin (BTC). Specifically, it calculates the spread and Annual Percentage Yield (APY) from a cash-and-carry arbitrage strategy until a specific expiry date (in this case, June 27, 2025).
The strategy helps identify profitable opportunities when the futures price of BTC is higher than the spot price. Traders can then buy BTC in the spot market and short BTC futures contracts to lock in a risk-free profit.
1. Input Settings
Spot Symbol: The real-time BTC spot price from Binance (BTCUSDT).
Futures Symbol: The BTC futures contract that expires in June 2025 (BTCUSDM2025).
Expiry Date: The expiration date of the futures contract, set to June 27, 2025.
These inputs allow users to adjust the symbols or expiry date according to their trading needs.
2. Price Data Retrieval
Spot Price: Fetches the latest closing price of BTC from the spot market.
Futures Price: Fetches the latest closing price of BTC futures.
Spread: The difference between the futures price and the spot price (futures_price - spot_price).
The spread indicates how much higher (or lower) the futures price is compared to the spot market.
3. Time to Maturity (TTM) and Annual Percentage Yield (APY) Calculation
Current Date: Gets the current timestamp.
Time to Maturity (TTM): The number of days left until the futures contract expires.
APY Calculation:
Formula:
APY = ( Spread / Spot Price ) x ( 365 / TTM Days ) x 100
This represents the annualized return from holding a cash-and-carry arbitrage position if the trader buys BTC at the spot price and sells BTC futures.
4. Display Information Table on the Chart
A table is created on the chart's top-right corner showing the following data:
Metric: Labels such as Spread and APY
Value: Displays the calculated spread and APY
The table automatically updates at the latest bar to display the most recent data.
5. Alert Condition
This sets an alert condition that triggers every time the script runs.
In practice, users can modify this alert to trigger based on specific conditions (e.g., APY exceeds a threshold).
6. Plotting the APY and Spread
APY Plot: Displays the annualized yield as a blue line on the chart.
Spread Plot: Visualizes the futures-spot spread as a red line.
This helps traders quickly identify arbitrage opportunities when the spread or APY reaches desirable levels.
How to Use the Script
Monitor Arbitrage Opportunities:
A positive spread indicates a potential cash-and-carry arbitrage opportunity.
The larger the APY, the more profitable the arbitrage opportunity could be.
Timing Trades:
Execute a buy on the BTC spot market and simultaneously sell BTC futures when the APY is attractive.
Close both positions upon futures contract expiry to realize profits.
Risk Management:
Ensure you have sufficient margin to hold both positions until expiry.
Monitor funding rates and volatility, which could affect returns.
Conclusion
This script is an essential tool for traders looking to exploit price discrepancies between the BTC spot market and futures market through a cash-and-carry arbitrage strategy. It provides real-time data on spreads, annualized returns (APY), and visual alerts, helping traders make informed decisions and maximize their profit potential.
Range Breakout [BigBeluga]Range Breakout is a dynamic channel-based indicator designed to identify breakout opportunities and price reactions within defined ranges. It automatically creates upper and lower bands with a midline, helping traders spot breakout zones, retests, and potential fakeouts.
🔵 Key Features:
Dynamic Channel Formation:
Automatically plots upper and lower channel bands with a midline based on ATR calculations.
Channels adjust upon breakout events or after a predefined number of bars to reflect new price ranges.
Breakout Detection:
Green circles appear when price breaks above the upper channel edge.
Red circles appear when price breaks below the lower channel edge.
A new channel is formed after each breakout, allowing traders to monitor evolving price ranges.
Retest Signals:
Upward-pointing green triangles signal a retest of the lower band, indicating potential support.
Downward-pointing red triangles indicate a retest of the upper band, suggesting possible resistance.
Filter Signals by Trends (New Feature):
Optional toggle to filter ▲ and ▼ signals based on channel breakout conditions.
When enabled:
In a bullish channel (confirmed by a green circle breakout), only ▲ signals are displayed.
In a bearish channel (confirmed by a red circle breakout), only ▼ signals are displayed.
Helps traders align retest signals with the prevailing trend for higher-quality trade setups.
Fakeout Identification:
'X' symbols appear when price breaks the upper or lower edge of the channel and quickly returns back inside.
Helps traders identify and avoid false breakouts.
🔵 Usage:
Breakout Trading: Use the green and red circle signals to identify potential breakout trades.
Retest Confirmation: Look for triangle markers to confirm retests of key levels, aiding in entry or exit decisions.
Fakeout Alerts: Utilize the 'X' signals to spot and avoid potential trap moves.
Dynamic Range Monitoring: Stay aware of changing market conditions with automatically updating channels.
Range Breakout is an essential tool for traders seeking to capitalize on range breakouts, retests, and fakeout scenarios. Its dynamic channels and clear visual signals provide a comprehensive view of market structure and potential trade setups.
RSI with Bollinger Bands and Buy/Sell SignalsPurpose:
This indicator combines the Relative Strength Index (RSI) with Bollinger Bands to identify overbought and oversold conditions in the market. It also generates buy and sell signals based on the interaction between the RSI and the Bollinger Bands. It is particularly useful for traders looking for opportunities in volatile or trending markets.
How It Works:
RSI (Relative Strength Index):
The RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought (values > 70) or oversold (values < 30).
In this indicator, horizontal lines at levels 70 (overbought) and 30 (oversold) are used as reference points.
Bollinger Bands:
Bollinger Bands are calculated around a smoothed moving average of the RSI. The upper band represents dynamic overbought levels, while the lower band indicates dynamic oversold levels.
These bands automatically adjust their width based on the volatility of the RSI, allowing them to adapt to different market conditions.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the RSI exceeds both the upper Bollinger Band and the overbought level (70). This suggests that the asset is in an extreme bullish phase.
Sell Signal: A sell signal is generated when the RSI falls below both the lower Bollinger Band and the oversold level (30). This suggests that the asset is in an extreme bearish phase.
Alerts:
The indicator includes automatic alerts to notify you when buy or sell signals are generated. This allows traders to act quickly on new opportunities.
Best Practices:
Confirmation in Lower Timeframes:
Although this indicator is powerful, it is recommended to confirm signals in lower timeframes before making trading decisions. For example:
If you receive a buy signal on a 4-hour chart, check if the RSI and Bollinger Bands on lower timeframes (such as 1 hour or 15 minutes) also show bullish signals.
This reduces the risk of false positives and increases the accuracy of your entries.
Use in Trends:
This indicator works best in markets with clear trends. In sideways or low-volatility markets, signals may be less reliable due to the lack of directional momentum.
Risk Management:
Always use stop-loss and take-profit to protect your positions. Buy and sell signals are just one tool for analysis; they do not guarantee results.
Combination with Other Indicators:
To improve accuracy, consider combining this indicator with others, such as MACD, Stochastic Oscillator, or Japanese candlestick patterns. This can provide additional confirmation before opening a position.
Summary:
The RSI + Bollinger Bands with Buy/Sell Signals indicator is an advanced tool designed to identify entry and exit points in the market based on extreme overbought and oversold conditions. However, to maximize its effectiveness, it is crucial to confirm signals in lower timeframes and use it in combination with other technical analysis tools. With proper risk management and careful interpretation of signals, this indicator can be a valuable ally in your trading strategy.
ATR BandsThe ATR Bands indicator is a volatility-based tool that plots dynamic support and resistance levels around the price using the Average True Range (ATR). It consists of two bands:
Upper Band: Calculated as current price + ATR, representing an upper volatility threshold.
Lower Band: Calculated as current price - ATR, serving as a lower volatility threshold.
Key Features:
✅ Measures Volatility: Expands and contracts based on market volatility.
✅ Dynamic Support & Resistance: Helps identify potential breakout or reversal zones.
✅ Customizable Smoothing: Supports multiple moving average methods (RMA, SMA, EMA, WMA) for ATR calculation.
How to Use:
Trend Confirmation: If the price consistently touches or exceeds the upper band, it may indicate strong bullish momentum.
Reversal Signals: A price approaching the lower band may suggest a potential reversal or increased selling pressure.
Volatility Assessment: Wide bands indicate high volatility, while narrow bands suggest consolidation.
This indicator is useful for traders looking to incorporate volatility-based strategies into their trading decisions
Uptrick: Alpha TrendIntroduction
Uptrick: Alpha Trend is a comprehensive technical analysis indicator designed to provide traders with detailed insights into market trends, momentum, and risk metrics. It adapts to various trading styles—from quick scalps to longer-term positions—by dynamically adjusting its calculations and visual elements. By combining multiple smoothing techniques, advanced color schemes, and customizable data tables, the indicator offers a holistic view of market behavior.
Originality
The Alpha Trend indicator distinguishes itself by blending established technical concepts with innovative adaptations. It employs three different smoothing techniques tailored to specific trading modes (Scalp, Swing, and Position), and it dynamically adjusts its parameters to match the chosen mode. The indicator also offers a wide range of color palettes and multiple on-screen tables that display key metrics. This unique combination of features, along with its ability to adapt in real time, sets it apart as a versatile tool for both novice and experienced traders.
Features
1. Multi-Mode Trend Line
The indicator automatically selects a smoothing method based on the trading mode:
- Scalp Mode uses the Hull Moving Average (HMA) for rapid responsiveness.
- Swing Mode employs the Exponential Moving Average (EMA) for balanced reactivity.
- Position Mode applies the Weighted Moving Average (WMA) for smoother, long-term trends.
Each method is chosen to best capture the price action dynamics appropriate to the trader’s timeframe.
2. Adaptive Momentum Thresholds
It tracks bullish and bearish momentum with counters that increment as the trend confirms directional movement. When these counters exceed a user-defined threshold, the indicator generates optional buy or sell signals. This approach helps filter out minor fluctuations and highlights significant market moves.
3. Gradient Fills
Two types of fills enhance visual clarity:
- Standard Gradient Fill displays ATR-based zones above and below the trend line, indicating potential bullish and bearish areas.
- Fading Gradient Fill creates a smooth transition between the trend line and the price, visually emphasizing the distance between them.
4. Bar Coloring and Signal Markers
The indicator can color-code bars based on market conditions—bullish, bearish, or neutral—allowing for immediate visual assessment. Additionally, signal markers such as buy and sell arrows are plotted when momentum thresholds are breached.
5. Comprehensive Data Tables
Uptrick: Alpha Trend offers several optional tables for detailed analysis:
- Insider Info: Displays key metrics like the current trend value, bullish/bearish momentum counts, and ATR.
- Indicator Metrics: Lists input settings such as trend length, damping, signal threshold, and net momentum.
- Market Analysis: Summarizes overall trend direction, trend strength, Sortino ratio, return, and volatility.
- Price & Trend Dynamics: Details price deviation from the trend, trend slope, and ATR ratio.
- Momentum & Volatility Insights: Presents RSI, standard deviation (volatility), and net momentum.
- Performance & Acceleration Metrics: Focuses on the Sortino ratio, trend acceleration, return, and trend strength.
Each table can be positioned flexibly on the chart, allowing traders to customize the layout according to their needs.
Why It Combines Specific Smoothing Techniques
Smoothing techniques are essential for filtering out market noise and revealing underlying trends. The indicator combines three smoothing methods for the following reasons:
- The Hull Moving Average (HMA) in Scalp Mode minimizes lag and responds quickly to price changes, which is critical for short-term trading.
- The Exponential Moving Average (EMA) in Swing Mode gives more weight to recent data, striking a balance between speed and smoothness. This makes it suitable for mid-term trend analysis.
- The Weighted Moving Average (WMA) in Position Mode smooths out short-term fluctuations, offering a clear view of longer-term trends and reducing the impact of transient market volatility.
By using these specific methods in their respective trading modes, the indicator ensures that the trend line is appropriately responsive for the intended time frame, enhancing decision-making while maintaining clarity.
Inputs
1. Trend Length (Default: 30)
Defines the lookback period for the smoothing calculation. A shorter trend length results in a more responsive line, while a longer length produces a smoother, less volatile trend.
2. Trend Damping (Default: 0.75)
Controls the degree of smoothing applied to the trend line. Lower values lead to a smoother curve, whereas higher values increase sensitivity to price fluctuations.
3. Signal Strength Threshold (Default: 5)
Specifies the number of consecutive bullish or bearish bars required to trigger a signal. Higher thresholds reduce the frequency of signals, focusing on stronger moves.
4. Enable Bar Coloring (Default: True)
Toggles whether each price bar is colored to indicate bullish, bearish, or neutral conditions.
5. Enable Signals (Default: True)
When enabled, this option plots buy or sell arrows on the chart once the momentum thresholds are met.
6. Enable Standard Gradient Fill (Default: False)
Activates ATR-based gradient fills around the trend line to visualize potential support and resistance zones.
7. Enable Fading Gradient Fill (Default: True)
Draws a gradual color transition between the trend line and the current price, emphasizing their divergence.
8. Trading Mode (Options: Scalp, Swing, Position)
Determines which smoothing method and ATR period to use, adapting the indicator’s behavior to short-term, medium-term, or long-term trading.
9. Table Position Inputs
Allows users to select from nine possible chart positions (top, middle, bottom; left, center, right) for each data table.
10. Show Table Booleans
Separate toggles control the display of each table (Insider Info, Indicator Metrics, Market Analysis, and the three Deep Tables), enabling a customized view of the data.
Color Schemes
(Default) - The colors in the preview image of the indicator.
(Emerald)
(Sapphire)
(Golden Blaze)
(Mystic)
(Monochrome)
(Pastel)
(Vibrant)
(Earth)
(Neon)
Calculations
1. Trend Line Methods
- Scalp Mode: Utilizes the Hull Moving Average (HMA), which computes two weighted moving averages (one at half the length and one at full length), subtracts them, and then applies a final weighted average based on the square root of the length. This method minimizes lag and increases responsiveness.
- Swing Mode: Uses the Exponential Moving Average (EMA), which assigns greater weight to recent prices, thus balancing quick reaction with smoothness.
- Position Mode: Applies the Weighted Moving Average (WMA) to focus on longer-term trends by emphasizing the entire lookback period and reducing the impact of short-term volatility.
2. Momentum Tracking
The indicator maintains separate counters for bullish and bearish momentum. These counters increase as the trend confirms directional movement and reset when the trend reverses. When a counter exceeds the defined signal strength threshold, a corresponding signal (buy or sell) is triggered.
3. Volatility and ATR Zones
The Average True Range (ATR) is calculated using a period that adapts to the selected trading mode (shorter for Scalp, longer for Position). The ATR value is then used to define upper and lower zones around the trend line, highlighting the current level of market volatility.
4. Return and Trend Acceleration
- Return is calculated as the difference between the current and previous closing prices, providing a simple measure of price change.
- Trend Acceleration is derived from the change in the trend line’s movement (its first derivative) compared to the previous bar. This metric indicates whether the trend is gaining or losing momentum.
5. Sortino Ratio and Standard Deviation
- The Sortino Ratio measures risk-adjusted performance by comparing returns to downside volatility (only considering negative price changes).
- Standard Deviation is computed over the lookback period to assess the extent of price fluctuations, offering insights into market stability.
Usage
This indicator is suitable for various time frames and market instruments. Traders can enable or disable specific visual elements such as gradient fills, bar coloring, and signal markers based on their preference. For a minimalist approach, one might choose to display only the primary trend line. For a deeper analysis, enabling multiple tables can provide extensive data on momentum, volatility, trend dynamics, and risk metrics.
Important Note on Risk
Trading involves inherent risk, and no indicator can eliminate the uncertainty of the markets. Past performance is not indicative of future results. It is essential to use proper risk management, test any new tool thoroughly, and consult multiple sources or professional advice before making trading decisions.
Conclusion
Uptrick: Alpha Trend unifies a diverse set of calculations, adaptive smoothing techniques, and customizable visual elements into one powerful tool. By combining the Hull, Exponential, and Weighted Moving Averages, the indicator is able to provide a trend line that is both responsive and smooth, depending on the trading mode. Its advanced color schemes, gradient fills, and detailed data tables deliver a comprehensive analysis of market trends, momentum, and risk. Whether you are a short-term trader or a long-term investor, this indicator aims to clarify price action and assist you in making more informed trading decisions.
DataDoodles SD + ProbabilityDataDoodles SD + Probability
Overview:
The “DataDoodles SD + Probability” indicator is designed to provide traders with a statistical edge by leveraging standard deviation and probability metrics. This advanced tool calculates the annualized standard deviation, Z-score, and probability of price movements, offering insights into potential market direction with customizable alert thresholds.
Key Features:
1. Annualized Standard Deviation (Volatility) Calculation:
• Uses a user-defined period to compute the rolling standard deviation of daily returns.
• Annualizes the volatility, giving a clear picture of expected price fluctuations.
2. Probability of Price Movement:
• Calculates the probability of price moving up or down using a corrected Z-Score.
• Displays the probability percentage for both upward and downward movements.
3. Dynamic Alerts:
• Configurable alerts for upward and downward price movement probabilities.
• Receive alerts when the probability exceeds user-defined thresholds.
4. Projections and Visuals:
• Plots projected high and low price levels based on annualized volatility.
• Displays Z-Score and probability metrics on the chart for quick reference.
5. Comprehensive Data Table:
• Bottom-center table displays key metrics:
• Daily Return
• Standard Deviation (SD)
• Annualized Standard Deviation (Yearly SD)
User Inputs:
• Annualization Period: Set the time frame for volatility annualization (Default: 252 days).
• SD Period: Define the rolling window for calculating standard deviation (Default: 252 days).
• Alert Probability Up/Down: Customize the probability thresholds for alerts (Default: 90%).
How It Works:
• Data Request and Calculation:
• Uses daily close prices to ensure consistent timeframe calculations.
• Calculates daily returns and annualizes the volatility using the square root of the time frame.
• Probability Computation:
• Employs a normal distribution CDF approximation to compute the probability of upward and downward price movements.
• Adjusts probabilities based on Z-Score to ensure accuracy.
• High and Low Projections:
• Utilizes the annualized volatility to estimate high and low price projections for the year.
• Visual Indicators and Alerts:
• Plots projected high (green) and low (red) levels on the chart.
• Displays Z-Score, probability percentages, and dynamically updates a statistics table.
Use Cases:
• Trend Analysis: Identify high-probability market movements using the probability metrics.
• Volatility Insights: Understand annualized volatility to gauge market risk and potential price ranges.
• Strategic Trading Decisions: Set alerts for high-probability scenarios to optimize entry and exit points.
Why Use “DataDoodles SD + Probability”?
This indicator provides a powerful combination of statistical analysis and visual representation. It empowers traders with:
• Quantitative Edge: By leveraging probability metrics and standard deviation, users can make informed trading decisions.
• Risk Management: Annualized volatility projections help in setting realistic stop-loss and take-profit levels.
• Actionable Alerts: Customizable probability alerts ensure users are notified of potential market moves, allowing proactive trading strategies.
Recommended Settings:
• Annualization Period: 252 (Ideal for daily data representing a trading year)
• SD Period: 252 (One trading year for consistent volatility calculations)
• Alert Probability: Set to 90% for conservative signals or lower for more frequent alerts.
Final Thoughts:
The “DataDoodles SD + Probability” indicator is a robust tool for traders looking to integrate statistical analysis into their trading strategies. It combines volatility measurement, probability calculations, and dynamic alerts to provide a comprehensive market overview.
Whether you’re a day trader or a long-term investor, this indicator can enhance your market insight and improve decision-making accuracy.
Disclaimer:
This indicator is a technical analysis tool designed for educational purposes. Past performance is not indicative of future results. Traders are encouraged to perform their own analysis and manage risk accordingly.
CCI, RSI, Volume & ATR Buy Signal - Go with the herd!📌 CCI, RSI, Volume & ATR Buy Signal Indicator
🚀 Identify Smart Entry Opportunities with a Multi-Confirmation Approach
This indicator combines CCI (Commodity Channel Index), RSI (Relative Strength Index), Volume, and ATR (Average True Range) to provide a reliable buy signal by ensuring the market conditions are favorable before entering a trade.
📊 How Does It Work?
This script evaluates market momentum, volatility, and trading volume to generate a clear entry decision:
✅ (Green Check) → Favorable entry conditions
❌ (Red Cross) → Not an ideal entry point
The indicator displays all the relevant metrics in one compact label, positioned above the most recent candle for quick and easy reference.
📈 Components of the Indicator
Each metric is visually represented using traffic light colors (🟢 Green, 🟡 Yellow, 🔴 Red) for intuitive decision-making:
1️⃣ CCI (Commodity Channel Index) – Momentum Strength
🟢 Strong: Market momentum is high (CCI above the entry threshold).
🟡 Moderate: Market is showing some movement, but not strong enough.
🔴 Weak: No significant momentum (CCI is low).
2️⃣ RSI (Relative Strength Index) – Trend Confirmation
If RSI is above the user-defined threshold, the momentum is considered positive for entry.
3️⃣ Volume – Market Participation
🟢 High: Trading volume is above the moving average, confirming strong participation.
🟡 Moderate: Volume is near its average, signaling indecisiveness.
🔴 Low: Weak participation, indicating potential false signals.
4️⃣ ATR (Average True Range) – Volatility Indicator
🟢 High: The market is moving with sufficient volatility for a strong trade setup.
🟡 Moderate: Acceptable volatility but with some caution.
🔴 Low: Market is slow, and price movements may be weak.
🔧 Customizable Settings
You can fine-tune the indicator to match your trading strategy by adjusting:
CCI Threshold for Entry (default: 100)
RSI Threshold for Entry (default: 50)
Volume Multiplier for Confirmation (default: 1.0)
ATR Multiplier for Confirmation (default: 1.0)
🖥️ How to Use
1️⃣ Add the indicator to your TradingView chart.
2️⃣ Look for the label above the most recent candle.
Example output:
✅ Vola: 🟢 Mom: 🟢 Volu: 🟢 → Strong confirmation for entry.
❌ Vola: 🟡 Mom: 🔴 Volu: 🟡 → Entry conditions are not favorable.
3️⃣ Only enter trades when ✅ appears and all or most indicators are green.
4️⃣ Avoid trading when ❌ is displayed or when multiple indicators are yellow/red.
⚡ Why Use This Indicator?
✅ Multi-Factor Confirmation – Ensures you enter only high-probability setups.
✅ Customizable for Any Strategy – Adjust thresholds based on your risk tolerance.
✅ Traffic Light System – Easily interpret trade conditions at a glance.
✅ Real-Time Updates – The label dynamically updates based on the latest price action.
📌 Final Notes
This indicator is not a standalone trading system but a powerful confirmation tool. Always use proper risk management and combine it with price action analysis for best results. 📊📈
PRC-ALMA | QuantEdgeBIntroducing PRC-ALMA by QuantEdgeB
Overview
The PRC-ALMA (Percentile Adaptive ALMA) is an advanced dynamic trend and volatility filtering indicator that leverages the Arnaud Legoux Moving Average (ALMA) combined with Percentile Rank Filtering and Median Absolute Deviation (MAD) Bands. It is designed to enhance market structure clarity, detect breakout zones, and provide trade signals by dynamically adjusting its filtering based on recent price action.
____
Key Features
1. 📈 Adaptive ALMA Smoothing:
- Uses ALMA for smoothing price action while reducing lag.
- Provides a more responsive moving average than traditional EMAs and SMAs.
2. 📊 Percentile Rank-Based Thresholds:
- Determines upper and lower regions using 75th and 25th percentile ranks.
- Allows for adaptive thresholding based on historical price movements.
3. 🎯 Median Absolute Deviation (MAD) Volatility Filtering:
- Filters out noise using robust statistical deviation measures.
- MAD Bands dynamically adjust based on volatility expansion and contraction.
4. 🔄 Dynamic Trade Signals:
- Generates long signals when price exceeds the upper threshold.
- Generates short signals when price drops below the lower threshold.
5. 🎨 Customizable Color Modes & Visual Enhancements:
- Choose between multiple color schemes to match trading preferences.
- Optional candlestick coloring to indicate market sentiment shifts.
____
How It Works
1. ALMA Calculation:
- The indicator starts by computing the ALMA (Arnaud Legoux Moving Average) with a customizable length, offset, and sigma.
2. Percentile Rank Filtering:
- It then calculates the 75th and 25th percentile ranks over a selected period, determining dynamic levels for trend identification.
3. Volatility Adjustment Using Median Absolute Deviation (MAD):
- MAD is applied to filter noise and adapt the upper/lower bands based on market volatility.
- The higher the MAD multiplier, the wider the bands, allowing more price fluctuations before a signal triggers.
4. Entry & Exit Conditions:
- Long Entry: When price crosses above the upper percentile band + MAD filter.
- Short Entry: When price crosses below the lower percentile band - MAD filter.
5. Visual Enhancements:
- Dynamic band plotting with shading between percentile ranks.
- Candlestick coloring to visually indicate long/short sentiment shifts.
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Practical Applications
✅ Trend Following & Momentum Trading – Uses ALMA for trend smoothing and percentile-based breakouts.
✅ Mean Reversion Strategies – Adaptive MAD filtering ensures only significant deviations trigger signals.
✅ Multi-Timeframe Trading – Works on intraday, daily, and weekly timeframes based on user customization.
✅ Noise Reduction – Eliminates minor fluctuations while capturing meaningful market moves.
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🛠 Settings
-ALMA Length: 24 – Defines the smoothing period for the Arnaud Legoux Moving Average.
-ALMA Offset: 0.7 – Adjusts the shift factor, controlling responsiveness.
-ALMA Sigma: 4 – Determines the smoothing strength, balancing trend-following and noise reduction.
-Percentile Length: 21 – Lookback period for calculating percentile rank levels.
-Median Period: 21 – The period used for the Median Absolute Deviation (MAD) filter.
-Median Multiplier: 1.8 – Adjusts the sensitivity of the MAD filter, impacting how signals are generated.
-Color Mode: Strategy – Various visual themes available for better chart readability.
-Signal Label: Off - If turned off the indicator produced a Long or Cash signal when the trend changes.
📌 Conclusion
The PRC-ALMA | QuantEdgeB is an advanced valuation and signal generation tool that dynamically adjusts based on market conditions. By combining ALMA for trend smoothing, percentile rank thresholds, and MAD-based volatility filtering, it provides traders with a versatile indicator for momentum, breakout, and mean reversion strategies.
Key Takeaways:
✔ Smooth & Adaptive – ALMA ensures minimal lag while maintaining trend responsiveness.
✔ Dynamic Overbought/Oversold Zones – Adjusts to real-time market conditions using percentile-based bands.
✔ Volatility-Aware Filtering – Uses MAD to eliminate market noise, making signals more reliable.
✔ Customizable & Multi-Timeframe Ready – Works on various asset classes and timeframes with adjustable settings.
🔹 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.
Volume Profile With HVN & LVN detectorVolume Profile Indicator
Based on the works of tradeforopp
Overview
The Volume Profile Indicator is a powerful technical analysis tool that visually represents the distribution of trading volume over price levels within a specified timeframe. It helps traders identify key support and resistance zones, high-volume trading areas, and low-volume rejection zones. The indicator includes customizable settings for Volume Point of Control (VPOC), High Volume Nodes (HVNs), and Low Volume Nodes (LVNs), making it a versatile tool for price action analysis and volume-based decision-making.
Key Features
🔹 Customizable Volume Profile
Adjustable number of rows to define the resolution of the volume profile.
Configurable timeframe aggregation for profile calculation (e.g., Daily, Weekly).
Selectable price resolution timeframe for precise profile construction.
Extendable volume profile for future sessions.
Fully customizable profile color and transparency settings.
🔹 Volume Point of Control (VPOC)
Displays the most traded price level within the selected timeframe.
Option to extend multiple VPOCs across the chart.
Adjustable VPOC line width and color customization.
Option to display VPOC labels when working with higher timeframe profiles.
🔹 High Volume Nodes (HVNs)
Identifies high-volume price levels where significant trading activity has occurred.
Configurable HVN strength to adjust detection sensitivity.
Two display modes:
Lines: Plots HVN levels as horizontal lines.
Areas: Highlights HVN regions with colored boxes.
Separate bullish and bearish HVN color settings.
🔹 Low Volume Nodes (LVNs)
Identifies low-volume price levels, which often act as rejection zones.
Configurable LVN strength to fine-tune detection.
Two display modes:
Lines: Marks LVN levels as horizontal lines.
Areas: Highlights LVN regions with shaded boxes.
Separate bullish and bearish LVN color settings.
🔹 Optimized for Performance
Efficient use of arrays for data storage and retrieval.
Global functions for HVN and LVN detection.
Uses security calls to access lower timeframe price and volume data.
Use Cases
✅ Identify Support & Resistance Levels
The indicator highlights key price levels where significant buying or selling interest exists.
✅ Detect Breakout & Reversal Zones
Low-volume areas (LVNs) often indicate price rejection zones, while high-volume areas (HVNs) suggest strong price acceptance zones.
✅ Improve Trade Entries & Exits
Traders can use the Volume Point of Control (VPOC) and volume clusters to refine entry and exit points.
✅ Enhance Price Action Strategies
By incorporating volume-based analysis, this indicator provides deeper market insights beyond traditional support/resistance and trendlines.
Customization & Settings
📌 Volume Profile Settings:
Rows: Defines the granularity of the volume profile.
Profile Timeframe: Specifies the aggregation period (e.g., Daily, Weekly).
Resolution Timeframe: Determines the price resolution for volume analysis.
Profile Extend %: Controls how much the profile extends into the next session.
📌 Volume Point of Control (VPOC):
Enable/Disable VPOC visualization.
Extend past VPOC levels to the right.
Display VPOC labels for higher timeframe profiles.
Adjustable VPOC line width and color.
📌 High Volume Nodes (HVNs):
Enable/Disable HVN detection.
Define HVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish HVN colors.
📌 Low Volume Nodes (LVNs):
Enable/Disable LVN detection.
Define LVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish LVN colors.
TPO IQ [TradingIQ]Hello Traders!
Introducing "TPO IQ"!
TPO IQ offers a Time Price Opportunity profile with several customization options that packs several related features to help traders navigate the generated profiles!
Features
TPO Profiles
Single Print identification
Initial Balance Identification
Can be anchored to timeframe change
Can be anchored to fixed time interval
Last profile detailed visuals
Customizable value area percentage
POC identification
Mid-point identification
TPO Profiles
A TPO profile is a market profile visualization that details how much time was spent at each price level throughout the time interval.
The image above further explains what a TPO Profile is!
Each letter corresponds to a candlestick. With this information, traders are able to visualize how much time was spent at each price area.
With customizable gradient colors, specifically in this example, blocks colored red are the earliest times in the profile, blocks colored green are in the beginning half of the time midpoint of the profile. Blue blocks represent the first half of the end of the time period, and purple blocks correspond to the end of the time period.
Please note that this form of TPO profile generation will only occur when the most recent profile uses less than 500 alphabet characters! If more than 500 characters are preset, TPO IQ will revert to using labels!
Initial Balance
TPO IQ also identifies the initial balance range and all alphabet characters that form within it!
The image above exemplifies this feature. The initial balance range is denoted by a a neon-blue line, with a blue circle showing the opening price. All characters within the initial balance range are highlighted blue, which is a feature that can be disabled with customizable colors.
POC
TPO IQ also identifies the point of control (POC) of the TPO Profile.
The point of control for the profile is labeled yellow by default, and shows where price spent the most time throughout the time period.
The image above shows the POC for the time period being identified by TPO IQ.
Value Area
TPO IQ also identifies the value area of the profile. A customizable percentage that is 70% by default, the value area of a TPO profile shows where price traded the majority of the time.
The image above further explains this feature. For this example, with the value area percentage being set to 70%, the value area high and value area low show the price zone that prices traded at 70% of the time throughout the profile.
TPO Midpoint
In addition to the POC, the TPO profile midpoint is also identified by TPO IQ.
The TPO midpoint simply corresponds to the middle price between the session's high and low!
Fixed Interval Mode
By default, TPO IQ recalculates every day, but this can also be changed to a customizable session time, such as 4 hours. If 4 hours is selected, then a new TPO profile will be generated every 4 hours.
However, in Fixed Interval mode, a TPO profile will be generated through a user-defined time range, such as 1300-1700.
In the image above, Fixed Interval mode is applied with a time range of 1300-1700 and, consequently, TPO IQ generates a new profile throughout every 1300-1700 time range!
This feature allows traders to specify time ranges of interest to generate TPO profiles for!
TPO Overview Label
The TPO overview label shows key statistics for the TPO profile generated throughout the trading session!
The "TPO Count" statistic shows how many alphabetical letters were generated for the profile, which is an adequate method to determine the session's volatility and price range.
The "Tick Levels" statistic shows how many tick levels were used to create the profile - another method to determine the volatility and price range of the session.
The "Top Letter" statistic shows which letter appears most throughout the profile. In this example, the top letter was "f", which means throughout creation of the profile, the letter "f" appeared the most!
And that's all for now!
If you have any feedback or new feature ideas for TPO IQ please feel free to share them with us!
Thank you traders!
