Divergence Screener [Trendoscope®]🎲Overview
The Divergence Screener is a powerful TradingView indicator designed to detect and visualize bullish and bearish divergences, including hidden divergences, between price action and a user-selected oscillator. Built with flexibility in mind, it allows traders to customize the oscillator type, trend detection method, and other parameters to suit various trading strategies. The indicator is non-overlay, displaying divergence signals directly on the oscillator plot, with visual cues such as lines and labels on the chart for easy identification.
This indicator is ideal for traders seeking to identify potential reversal or continuation signals based on price-oscillator divergences. It supports multiple oscillators, trend detection methods, and alert configurations, making it versatile for different markets and timeframes.
🎲Features
🎯Customizable Oscillator Selection
Built-in Oscillators : Choose from a variety of oscillators including RSI, CCI, CMO, COG, MFI, ROC, Stochastic, and WPR.
External Oscillator Support : Users can input an external oscillator source, allowing integration with custom or third-party indicators.
Configurable Length : Adjust the oscillator’s period (e.g., 14 for RSI) to fine-tune sensitivity.
🎯Divergence Detection
The screener identifies four types of divergences:
Bullish Divergence : Price forms a lower low, but the oscillator forms a higher low, signaling potential upward reversal.
Bearish Divergence : Price forms a higher high, but the oscillator forms a lower high, indicating potential downward reversal.
Bullish Hidden Divergence : Price forms a higher low, but the oscillator forms a lower low, suggesting trend continuation in an uptrend.
Bearish Hidden Divergence : Price forms a lower high, but the oscillator forms a higher high, suggesting trend continuation in a downtrend.
🎯Flexible Trend Detection
The indicator offers three methods to determine the trend context for divergence detection:
Zigzag : Uses zigzag pivots to identify trends based on higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL).
MA Difference : Calculates the trend based on the difference in a moving average (e.g., SMA, EMA) between divergence pivots.
External Trend Signal : Allows users to input an external trend signal (positive for uptrend, negative for downtrend) for custom trend analysis.
🎯Zigzag-Based Pivot Analysis
Customizable Zigzag Length : Adjust the zigzag length (default: 13) to control the sensitivity of pivot detection.
Repaint Option : Choose whether divergence lines repaint based on the latest data or wait for confirmed pivots, balancing responsiveness and reliability.
🎯Visual and Alert Features
Divergence Visualization : Divergence lines are drawn between price pivots and oscillator pivots, color-coded for easy identification:
Bullish Divergence : Green
Bearish Divergence : Red
Bullish Hidden Divergence : Lime
Bearish Hidden Divergence : Orange
Labels and Tooltips : Labels (e.g., “D” for divergence, “H” for hidden) appear on price and oscillator pivots, with tooltips providing detailed information such as price/oscillator values, ratios, and pivot directions.
Alerts : Configurable alerts for each divergence type (bullish, bearish, bullish hidden, bearish hidden) trigger on bar close, ensuring timely notifications.
🎲 How It Works
🎯Oscillator Calculation
The indicator calculates the selected oscillator (or uses an external source) and plots it on the chart.
Oscillator values are stored in a map for reference during divergence calculations.
🎯Pivot Detection
A zigzag algorithm identifies pivots in the oscillator data, with configurable length and repainting options.
Price and oscillator pivots are compared to detect divergences based on their direction and ratio.
🎯Divergence Identification
The indicator compares price and oscillator pivot directions (HH, HL, LH, LL) to identify divergences.
Trend context is determined using the selected method (Zigzag, MA Difference, or External).
Divergences are classified as bullish, bearish, bullish hidden, or bearish hidden based on price-oscillator relationships and trend direction.
🎯Visualization and Alerts
Valid divergences are drawn as lines connecting price and oscillator pivots, with corresponding labels.
Alerts are triggered for allowed divergence types, providing detailed information via tooltips.
🎯Validation
Divergence lines are validated to ensure no intermediate bars violate the divergence condition, enhancing signal reliability.
🎲 Usage Instructions as Indicator
🎯Add to Chart:
Add the “Divergence Screener ” to your TradingView chart.
The indicator appears in a separate pane below the price chart, plotting the oscillator and divergence signals.
🎯Configure Settings:
Adjust the oscillator type and length to match your trading style.
Select a trend detection method and configure related parameters (e.g., MA type/length or external signal).
Set the zigzag length and repainting preference.
Enable/disable alerts for specific divergence types.
I🎯nterpret Signals:
Bullish Divergence (Green) : Look for potential buy opportunities in a downtrend.
Bearish Divergence (Red) : Consider sell opportunities in an uptrend.
Bullish Hidden Divergence (Lime) : Confirm continuation in an uptrend.
Bearish Hidden Divergence (Orange): Confirm continuation in a downtrend.
Use tooltips on labels to review detailed pivot and divergence information.
🎯Set Alerts:
Create alerts for each divergence type to receive notifications via TradingView’s alert system.
Alerts include detailed text with price, oscillator, and divergence information.
🎲 Example Scenarios as Indicator
🎯 With External Oscillator (Use MACD Histogram as Oscillator)
In order to use MACD as an oscillator for divergence signal instead of the built in options, follow these steps.
Load MACD Indicator from Indicator library
From Indicator settings of Divergence Screener, set Use External Oscillator and select MACD Histograme from the dropdown
You can now see that the oscillator pane shows the data of selected MACD histogram and divergence signals are generated based on the external MACD histogram data.
🎯 With External Trend Signal (Supertrend Ladder ATR)
Now let's demonstrate how to use external direction signals using Supertrend Ladder ATR indicator. Please note that in order to use the indicator as trend source, the indicator should return positive integer for uptrend and negative integer for downtrend. Steps are as follows:
Load the desired trend indicator. In this example, we are using Supertrend Ladder ATR
From the settings of Divergence Screener, select "External" as Trend Detection Method
Select the trend detection plot Direction from the dropdown. You can now see that the divergence signals will rely on the new trend settings rather than the built in options.
🎲 Using the Script with Pine Screener
The primary purpose of the Divergence Screener is to enable traders to scan multiple instruments (e.g., stocks, ETFs, forex pairs) for divergence signals using TradingView’s Pine Screener, facilitating efficient comparison and identification of trading opportunities.
To use the Divergence Screener as a screener, follow these steps:
Add to Favorites : Add the Divergence Screener to your TradingView favorites to make it available in the Pine Screener.
Create a Watchlist : Build a watchlist containing the instruments (e.g., stocks, ETFs, or forex pairs) you want to scan for divergences.
Access Pine Screener : Navigate to the Pine Screener via TradingView’s main menu: Products -> Screeners -> Pine, or directly visit tradingview.com/pine-screener/.
Select Watchlist : Choose the watchlist you created from the Watchlist dropdown in the Pine Screener interface.
Choose Indicator : Select Divergence Screener from the Choose Indicator dropdown.
Configure Settings : Set the desired timeframe (e.g., 1 hour, 1 day) and adjust indicator settings such as oscillator type, zigzag length, or trend detection method as needed.
Select Filter Criteria : Select the condition on which the watchlist items needs to be filtered. Filtering can only be done on the plots defined in the script.
Run Scan : Press the Scan button to display divergence signals across the selected instruments. The screener will show which instruments exhibit bullish, bearish, bullish hidden, or bearish hidden divergences based on the configured settings.
🎲 Limitations and Possible Future Enhancements
Limitations are
Custom input for oscillator and trend detection cannot be used in pine screener.
Pine screener has max 500 bars available.
Repaint option is by default enabled. When in repaint mode expect the early signal but the signals are prone to repaint.
Possible future enhancements
Add more built-in options for oscillators and trend detection methods so that dependency on external indicators is limited
Multi level zigzag support
Cari dalam skrip untuk "supertrend"
SuperTrade ST1 StrategyOverview
The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk.
This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency.
How It Works
This strategy leverages three key components:
Supertrend Indicator
A trend-following indicator based on Average True Range (ATR).
Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility.
200-period Exponential Moving Average (EMA) Filter
Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends.
Helps filter out counter-trend entries during market pullbacks or ranges.
ATR-Based Stop Loss and Take Profit
Each trade uses the ATR to calculate volatility-adjusted exit levels.
Stop Loss: 1× ATR below entry.
Take Profit: 4× ATR above entry (1:4 R:R).
This asymmetry ensures that even with a lower win rate, the strategy can remain profitable.
Entry Conditions
A long trade is triggered when:
Supertrend flips from bearish to bullish (trend reversal).
Price closes above the Supertrend line.
Price is above the 200 EMA (bullish market bias).
Exit Logic
Once a long position is entered:
Stop loss is set 1 ATR below entry.
Take profit is set 4 ATR above entry.
The strategy automatically exits the position on either target.
Backtest Settings
This strategy is configured for realistic backtesting, including:
$10,000 account size
2% equity risk per trade
0.1% commission
1 tick slippage
These settings aim to simulate real-world conditions and avoid overly optimistic results.
How to Use
Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals.
Works best in clearly trending markets (especially in crypto, stocks, indices).
Can be paired with alerts for live trading or analysis.
Important Notes
This version is long-only by design. No short positions are executed.
Ideal for swing traders or position traders seeking asymmetric returns.
Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
Strategi Pine Script®
Williams R Zone Scalper v1.0[BullByte]Originality & Usefulness
Unlike standard Williams R cross-over scripts, this strategy layers five dynamic filters—moving-average trend, Supertrend, Choppiness Index, Bollinger Band Width, and volume validation —and presents a real-time dashboard with equity, PnL, filter status, and key indicator values. No other public Pine script combines these elements with toggleable filters and a custom dashboard. In backtests (BTC/USD (Binance), 5 min, 24 Mar 2025 → 28 Apr 2025), adding these filters turned a –2.09 % standalone Williams R into a +5.05 % net winner while cutting maximum drawdown in half.
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What This Script Does
- Monitors Williams R (length 14) for overbought/oversold reversals.
- Applies up to five dynamic filters to confirm trend strength and volatility direction:
- Moving average (SMA/EMA/WMA/HMA)
- Supertrend line
- Choppiness Index (CI)
- Bollinger Band Width (BBW)
- Volume vs. its 50-period MA
- Plots blue arrows for Long entries (R crosses above –80 + all filters green) and red arrows for Short entries (R crosses below –20 + all filters green).
- Optionally sets dynamic ATR-based stop-loss (1.5×ATR) and take-profit (2×ATR).
- Shows a dashboard box with current position, equity, PnL, filter status, and real-time Williams R / MA/volume values.
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Backtest Summary (BTC/USD(Binance), 5 min, 24 Mar 2025 → 28 Apr 2025)
• Total P&L : +50.70 USD (+5.05 %)
• Max Drawdown : 31.93 USD (3.11 %)
• Total Trades : 198
• Win Rate : 55.05 % (109/89)
• Profit Factor : 1.288
• Commission : 0.01 % per trade
• Slippage : 0 ticks
Even in choppy March–April, this multi-filter approach nets +5 % with a robust risk profile, compared to –2.09 % and higher drawdown for Williams R alone.
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Williams R Alone vs. Multi-Filter Version
• Total P&L :
– Williams R alone → –20.83 USD (–2.09 %)
– Multi-Filter → +50.70 USD (+5.05 %)
• Max Drawdown :
– Williams R alone → 62.13 USD (6.00 %)
– Multi-Filter → 31.93 USD (3.11 %)
• Total Trades : 543 vs. 198
• Win Rate : 60.22 % vs. 55.05 %
• Profit Factor : 0.943 vs. 1.288
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Inputs & What They Control
- wrLen (14): Williams R look-back
- maType (EMA): Trend filter type (SMA, EMA, WMA, HMA)
- maLen (20): Moving-average period
- useChop (true): Toggle Choppiness Index filter
- ciLen (12): CI look-back length
- chopThr (38.2): CI threshold (below = trending)
- useVol (true): Toggle volume-above-average filter
- volMaLen (50): Volume MA period
- useBBW (false): Toggle Bollinger Band Width filter
- bbwMaLen (50): BBW MA period
- useST (false): Toggle Supertrend filter
- stAtrLen (10): Supertrend ATR length
- stFactor (3.0): Supertrend multiplier
- useSL (false): Toggle ATR-based SL/TP
- atrLen (14): ATR period for SL/TP
- slMult (1.5): SL = slMult × ATR
- tpMult (2.0): TP = tpMult × ATR
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How to Read the Chart
- Blue arrow (Long): Williams R crosses above –80 + all enabled filters green
- Red arrow (Short) : Williams R crosses below –20 + all filters green
- Dashboard box:
- Top : position and equity
- Next : cumulative PnL in USD & %
- Middle : green/white dots for each filter (green=passing, white=disabled)
- Bottom : Williams R, MA, and volume current values
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Usage Tips
- Add the script : Indicators → My Scripts → Williams R Zone Scalper v1.0 → Add to BTC/USD chart on 5 min.
- Defaults : Optimized for BTC/USD.
- Forex majors : Raise `chopThr` to ~42.
- Stocks/high-beta : Enable `useBBW`.
- Enable SL/TP : Toggle `useSL`; stop-loss = 1.5×ATR, take-profit = 2×ATR apply automatically.
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Common Questions
- * Why not trade every Williams R reversal?*
Raw Williams R whipsaws in sideways markets. Choppiness and volume filters reduce false entries.
- *Can I use on 1 min or 15 min?*
Yes—adjust ATR length or thresholds accordingly. Defaults target 5 min scalping.
- *What if all filters are on?*
Fewer arrows, higher-quality signals. Expect ~10 % boost in average win size.
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Disclaimer & License
Trading carries risk of loss. Use this script “as is” under the Mozilla Public License 2.0 (mozilla.org). Always backtest, paper-trade, and adjust risk settings to your own profile.
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Credits & References
- Pine Script v6, using TradingView’s built-in `ta.supertrend()`.
- TradingView House Rules: www.tradingview.com
Goodluck!
BullByte
Strategi Pine Script®
ATR Stop-Loss & TargetsATR and Supertrend-based SL/TP & Trailing System
This indicator combines Average True Range (ATR) and Supertrend logic to help traders define precise stop-loss, first target, and trailing stop-loss (TSL) levels.
⚙️ Key Features:
📏 ATR-based Stop-Loss & Target Lines:
Uses ATR (default period: 5) based on the previous day's candle for more stable risk management.
Traders can choose the price source: Close, Open, or enter a manual price.
SL and first target are calculated using multipliers:
Multiplier 1 = Stop Loss
Multiplier 2 = First Target
📉 Supertrend for Trailing Stop:
Built-in Supertrend logic for trailing stop-loss management.
Uses ATR(10) with a multiplier of 2.1, based on HL2.
Supertrend can be toggled ON/OFF from the settings.
Penunjuk Pine Script®
Falcon SignalsThis script is a TradingView Pine Script for a trading strategy called "Falcon Signals." It combines multiple technical indicators and strategies to generate buy and sell signals. Here’s a breakdown of what the script does:
1. Supertrend Indicator:
The script calculates the Supertrend indicator using the Average True Range (ATR) and a specified multiplier (factor). The Supertrend is used to define the trend direction, with a green line for an uptrend and a red line for a downtrend.
2. EMA (Exponential Moving Average):
Two EMAs are used: a fast EMA (9-period) and a slow EMA (21-period). The script checks for crossovers of the fast EMA above or below the slow EMA as a basis for buying and selling signals.
3. RSI (Relative Strength Index):
The RSI (14-period) is used to measure the momentum of the price. A buy signal is generated when the RSI is less than 70, while a sell signal is generated when it’s greater than 30.
4. Take Profit (TP) and Stop Loss (SL):
The script allows users to set custom percentages for take profit and stop loss. The take profit is set at a certain percentage above the entry price for buy signals, and the stop loss is set at a percentage below the entry price, and vice versa for sell signals.
5. Trailing Stop:
A trailing stop can be enabled, which dynamically adjusts the stop loss level as the price moves in the favorable direction. If the price moves against the position by a certain trailing percentage, the position will be closed.
6. Engulfing Patterns:
The script checks for bullish and bearish engulfing candlestick patterns, indicating potential reversals. A bullish engulfing pattern is marked with a teal label ("🔄 Reversal Up"), and a bearish engulfing pattern is marked with a fuchsia label ("🔄 Reversal Down").
7. Plotting:
The script plots various indicators and signals:
Entry line: Shows where the buy or sell signal is triggered.
Take profit and stop loss levels are plotted as lines.
EMA and Supertrend lines are plotted on the chart.
Trailing stop line, if enabled, is also plotted.
8. Buy and Sell Labels:
The script places labels on the chart when buy or sell signals are triggered, indicating the price at which the order should be placed.
9. Exit Line:
The script plots an exit line when the trailing stop is hit, signaling when a position should be closed.
10. Alerts:
Alerts are set for both buy and sell signals, notifying the trader when to act based on the strategy's conditions.
This strategy combines trend-following (Supertrend), momentum (RSI), and price action patterns (EMA crossovers and engulfing candlestick patterns) to generate trade signals. It also offers the flexibility of take profit, stop loss, and trailing stop features.
Penunjuk Pine Script®
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format.
Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure.
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🔑 Key Features:
- 📐 ATR-based Supertrend with default multiplier = e (2.718)
- 📉 Dynamic trend line with optional fill beneath price
- ⏳ Trend duration tally label (count-only or full format)
- ⬆️ Higher-timeframe Supertrend overlay (optional)
- 🟢 Directional candle coloring for clarity
- 🟡 Subtle anchor line to guide perception without clutter
- ⚙️ PineScript v6 compliant, efficient and modular
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🧠 Interpretation Guide:
- The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends.
- The shaded fill reflects direction with 70% transparency.
- The trend tally label counts how long the current trend has lasted.
- Candle colors confirm direction without overtaking price action.
- The optional HTF line shows higher-timeframe context.
- A soft yellow anchor line stabilizes the fill relationship without distraction.
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⚙️ Inputs & Controls:
- ✏️ ATR Length – Volatility lookback
- 🧮 Multiplier – Default = 2.718 (Euler's number)
- 🕰️ Higher Timeframe – Choose your bias frame
- 👁️ Show HTF / Main – Toggle each trend layer
- 🧾 Show Label / Simplify – Show trend duration, with or without arrows
- 🎨 Color Candles – Turn directional bar coloring on or off
- 🪄 Show Fill – Toggle the shaded visual rhythm
- 🎛️ All visuals use tuned colors and transparencies for clarity
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🚀 Best Practices:
- ✅ Works on any time frame; shines on 1h v. 1D
- 🔁 Use the HTF line for macro bias filtering
- 📊 Combine with volume or liquidity overlays for edge
- 🧱 Use as a structural base layer with minimalist stacks
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📈 Strategy Tips:
- 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa.
- 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned.
- ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals).
- ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal.
- 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer.
- 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
Penunjuk Pine Script®
CauchyTrend [InvestorUnknown]The CauchyTrend is an experimental tool that leverages a Cauchy-weighted moving average combined with a modified Supertrend calculation. This unique approach provides traders with insight into trend direction, while also offering an optional ATR-based range analysis to understand how often the market closes within, above, or below a defined volatility band.
Core Concepts
Cauchy Distribution and Gamma Parameter
The Cauchy distribution is a probability distribution known for its heavy tails and lack of a defined mean or variance. It is characterized by two parameters: a location parameter (x0, often 0 in our usage) and a scale parameter (γ, "gamma").
Gamma (γ): Determines the "width" or scale of the distribution. Smaller gamma values produce a distribution more concentrated near the center, giving more weight to recent data points, while larger gamma values spread the weight more evenly across the sample.
In this indicator, gamma influences how much emphasis is placed on values closer to the current price versus those further away in time. This makes the resulting weighted average either more reactive or smoother, depending on gamma’s value.
// Cauchy PDF formula used for weighting:
// f(x; γ) = (1/(π*γ)) *
f_cauchyPDF(offset, gamma) =>
numerator = gamma * gamma
denominator = (offset * offset) + (gamma * gamma)
pdf = (1 / (math.pi * gamma)) * (numerator / denominator)
pdf
A chart showing different Cauchy PDFs with various gamma values, illustrating how gamma affects the weight distribution.
Cauchy-Weighted Moving Average (CWMA)
Using the Cauchy PDF, we calculate normalized weights to create a custom Weighted Moving Average. Each bar in the lookback period receives a weight according to the Cauchy PDF. The result is a Cauchy Weighted Average (cwm_avg) that differs from typical moving averages, potentially offering unique sensitivity to price movements.
// Summation of weighted prices using Cauchy distribution weights
cwm_avg = 0.0
for i = 0 to length - 1
w_norm = array.get(weights, i) / sum_w
cwm_avg += array.get(values, i) * w_norm
Supertrend with a Cauchy Twist
The indicator integrates a modified Supertrend calculation using the cwm_avg as its reference point. The Supertrend logic typically sets upper and lower bands based on volatility (ATR), and flips direction when price crosses these bands.
In this case, the Cauchy-based average replaces the usual baseline, aiming to capture trend direction via a different weighting mechanism.
When price closes above the upper band, the trend is considered bullish; closing below the lower band signals a bearish trend.
ATR Stats Range (Optional)
Beyond the fundamental trend detection, the indicator optionally computes ATR-based stats to understand price distribution relative to a volatility corridor centered on the cwm_avg line:
Volatility Range:
Defined as cwm_avg ± (ATR * atr_mult), this range creates upper and lower bands. Turning on atr_stats computes how often the daily close falls: Within the range, Above the upper ATR boundary, Below the lower ATR boundary, Within the range but above cwm_avg, Within the range but below cwm_avg
These statistics can help traders gauge how the market behaves relative to this volatility envelope and possibly identify if the market tends to revert to the mean or break out more often.
Backtesting and Performance Metrics
The code is integrated with a backtesting library that allows users to assess strategy performance historically:
Equity Curve Calculation: Compares CauchyTrend-based signals against the underlying asset.
Performance Metrics Table: Once enabled, displays key metrics such as mean returns, Sharpe Ratio, Sortino Ratio, and more, comparing the strategy to a simple Buy & Hold approach.
Alerts and Notifications
The indicator provides Alerts for key events:
Long Alert: Triggered when the trend flips bullish.
Short Alert: Triggered when the trend flips bearish.
Customization and Calibration
Important: The default parameters are not optimized for any specific instrument or time frame. Traders should:
Adjust the length and gamma parameters to influence how sharply or broadly the cwm_avg reacts to price changes.
Tune the atr_len and atr_mult for the Supertrend logic to better match the asset’s volatility characteristics.
Experiment with atr_stats on/off to see if that additional volatility distribution information provides helpful insights.
Traders may find certain sets of parameters that align better with their preferred trading style, risk tolerance, or asset volatility profile.
Disclaimer: This indicator is for educational and informational purposes only. Past performance in backtesting does not guarantee future results. Always perform due diligence, and consider consulting a qualified financial advisor before trading.
Penunjuk Pine Script®
WhalenatorThis custom TradingView indicator combines multiple analytic techniques to help identify potential market trends, areas of support and resistance, and zones of heightened trading activity. It incorporates a SuperTrend-like line based on ATR, Keltner Channels for volatility-based price envelopes, and dynamic order blocks derived from significant volume and pivot points. Additionally, it highlights “whale” activities—periods of exceptionally large volume—along with an estimated volume profile level and approximate bid/ask volume distribution. Together, these features aim to offer traders a more comprehensive view of price structure, volatility, and institutional participation.
This custom TradingView indicator integrates multiple trading concepts into a single, visually descriptive tool. Its primary goal is to help traders identify directional bias, volatility levels, significant volume events, and potential support/resistance zones on a price chart. Below are the main components and their functionalities:
SuperTrend-Like Line (Trend Bias):
At the core of the indicator is a trend-following line inspired by the SuperTrend concept, which uses Average True Range (ATR) to adaptively set trailing stop levels. By comparing price to these levels, the line attempts to indicate when the market is in an uptrend (price above the line) or a downtrend (price below the line). The shifting levels can provide a dynamic sense of direction and help traders stay with the predominant trend until it shifts.
Keltner Channels (Volatility and Range):
Keltner Channels, based on an exponential moving average and Average True Range, form volatility-based envelopes around price. They help traders visualize whether price is extended (touching or moving outside the upper/lower band) or trading within a stable range. This can be useful in identifying low-volatility consolidations and high-volatility breakouts.
Dynamic Order Blocks (Approximations of Supply/Demand Zones):
By detecting pivot highs and lows under conditions of significant volume, the indicator approximates "order blocks." Order blocks are areas where institutional buying or selling may have occurred, potentially acting as future support or resistance zones. Although these approximations are not perfect, they offer a visual cue to areas on the chart where price might react strongly if revisited.
Volume Profile Proxy and Whale Detection:
The indicator highlights price levels associated with recent maximum volume activity, providing a rough "volume profile" reference. Such levels often become key points of price interaction.
"Whale" detection logic attempts to identify bars where exceptionally large volume occurs (beyond a defined threshold). By tracking these "whale bars," traders can infer where heavy participation—often from large traders or institutions—may influence market direction or create zones of interest.
Approximate Bid/Ask Volume and Dollar Volume Tracking:
The script estimates whether volume within each bar leans more towards the bid or the ask side, aiming to understand which participant (buyers or sellers) might have been more aggressive. Additionally, it calculates dollar volume (close price multiplied by volume) and provides an average to gauge the relative participation strength over time.
Labeling and Visual Aids:
Dynamic labels display Whale Frequency (the ratio of bars with exceptionally large volume), average dollar volume, and approximate ask/bid volume metrics. This gives traders at-a-glance insights into current market conditions, participation, and sentiment.
Strengths:
Multifaceted Analysis:
By combining trend, volatility, volume, and order block logic in one place, the indicator saves chart space and simplifies the analytical process. Traders gain a holistic view without flipping between multiple separate tools.
Adaptable to Market Conditions:
The use of ATR and Keltner Channels adapts to changing volatility conditions. The SuperTrend-like line helps keep traders aligned with the prevailing trend, avoiding constant whipsaws in choppy markets.
Volume-Based Insights:
Integrating whale detection and a crude volume profile proxy helps traders understand where large players might be interacting. This perspective can highlight critical levels that might not be evident from price action alone.
Convenient Visual Cues and Labels:
The indicator provides quick reference points and textual information about the underlying volume dynamics, making decision-making potentially faster and more informed.
Weaknesses:
Heuristic and Approximate Nature:
Many of the indicator’s features, like the "order blocks," "whale detection," and the approximate bid/ask volume, rely on heuristics and assumptions that may not always be accurate. Without actual Level II data or true volume profiles, the insights are best considered as supplementary, not definitive signals.
Lagging Components:
Indicators that rely on past data, like ATR-based trends or moving averages for Keltner Channels, inherently lag behind price. This can cause delayed signals, particularly in fast-moving markets, potentially missing some early opportunities or late in confirming market reversals.
No Guaranteed Predictive Power:
As with any technical tool, it does not forecast the future with certainty. Strong volume at a certain level or a bullish SuperTrend reading does not guarantee price will continue in that direction. Market conditions can change unexpectedly, and false signals will occur.
Complexity and Overreliance Risk:
With multiple signals combined, there’s a risk of information overload. Traders might feel compelled to rely too heavily on this one tool. Without complementary analysis (fundamentals, news, or additional technical confirmation), overreliance on the indicator could lead to misguided trades.
Conclusion:
This integrated indicator offers a comprehensive visual guide to market structure, volatility, and activity. Its strength lies in providing a multi-dimensional viewpoint in a single tool. However, traders should remain aware of its approximations, inherent lags, and the potential for conflicting signals. Sound risk management, position sizing, and the use of complementary analysis methods remain essential for trading success.
Risks Associated with Trading:
No indicator can guarantee profitable trades or accurately predict future price movements. Market conditions are inherently unpredictable, and reliance on any single tool or combination of tools carries the risk of financial loss. Traders should practice sound risk management, including the use of stop losses and position sizing, and should not trade with funds they cannot afford to lose. Ultimately, decisions should be guided by a thorough trading plan and possibly supplemented with other forms of market analysis or professional advice.
Risks and Important Considerations:
• Not a Standalone Tool:
• This indicator should not be used in isolation. It is essential to incorporate additional technical analysis tools, fundamental analysis, and market context when making trading decisions.
• Relying solely on this indicator may lead to incomplete assessments of market conditions.
• Market Volatility and False Signals:
• Financial markets can be highly volatile, and indicators based on historical data may not accurately predict future movements.
• The indicator may produce false signals due to sudden market changes, low liquidity, or atypical trading activity.
• Risk Management:
• Always employ robust risk management strategies, including setting stop-loss orders, diversifying your portfolio, and not over-leveraging positions.
• Understand that no indicator guarantees success, and losses are a natural part of trading.
• Emotional Discipline:
• Avoid making impulsive decisions based on indicator signals alone.
• Emotional trading can lead to significant financial losses; maintain discipline and adhere to a well-thought-out trading plan.
• Continuous Learning and Adaptation:
• Stay informed about market news, economic indicators, and global events that may impact trading conditions.
• Continuously evaluate and adjust your trading strategies as market dynamics evolve.
• Consultation with Professionals:
• Consider seeking advice from financial advisors or professional traders to understand better how this indicator can fit into your overall trading strategy.
• Professional guidance can provide personalized insights based on your financial goals and risk tolerance.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Penunjuk Pine Script®
Swiss Knife [MERT]Introduction
The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format.
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Key Features
Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes.
Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection.
Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score.
Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart.
Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots.
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Explanation of Each Indicator
Moving Average Convergence Divergence (MACD)
- Purpose : Measures the relationship between two moving averages of price.
- Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum.
Awesome Oscillator (AO)
- Purpose : Gauges market momentum by comparing recent market movements to historic ones.
- Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum.
Parabolic SAR (SAR)
- Purpose : Identifies potential reversal points in price direction.
- Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend.
SuperTrend
- Purpose : Determines the prevailing market trend.
- Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line.
Detrended Price Oscillator (DPO)
- Purpose : Removes trend from price to identify cycles.
- Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below.
Relative Strength Index (RSI)
- Purpose : Measures the speed and change of price movements.
- Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum.
Stochastic Oscillator
- Purpose : Compares a particular closing price to a range of its prices over a certain period.
- Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions.
Bollinger Bands (BB)
- Purpose : Measures market volatility and provides relative price levels.
- Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness.
Ichimoku Cloud
- Purpose : Provides support and resistance levels, trend direction, and momentum.
- Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud.
Chande Momentum Oscillator (CMO)
- Purpose : Measures momentum on both up and down days.
- Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum.
Donchian Channels
- Purpose : Identifies volatility and potential breakouts.
- Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout.
Average Directional Index (ADX)
- Purpose : Measures the strength of a trend.
- Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend.
Volume Momentum Indicators (VolMom, CumVolMom, POCMom)
- Purpose : Analyze volume to assess buying and selling pressure.
- Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum.
Fractals
- Purpose : Identify potential reversal points in the market.
- Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend.
Divergence Detection
- Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line).
- Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal.
- Note : This functionality utilizes the library from Divergence Indicator .
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Coloring Scheme
Background Color
- Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes.
- Interpretation :
- Green Shades : Indicate bullish market sentiment.
- Red Shades : Indicate bearish market sentiment.
- Intensity : The strength of the color corresponds to the strength of the sentiment score.
Sentiment Table
- Purpose : Displays the status of each indicator across different timeframes.
- Interpretation :
- Green Cell : The indicator suggests a bullish signal.
- Red Cell : The indicator suggests a bearish signal.
- Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe.
Exponential Moving Averages (EMAs)
- Purpose : Provide dynamic support and resistance levels.
- Colors :
- EMA 10 : Lime
- EMA 20 : Yellow
- EMA 50 : Orange
- EMA 100 : Red
- EMA 200 : Purple
Trendlines
- Purpose : Visual representation of support and resistance levels based on pivot points.
- Interpretation :
- Upward Trendlines : Colored green , indicating support levels.
- Downward Trendlines : Colored red , indicating resistance levels.
- Note : Trendlines are drawn using the library from Simple Trendlines .
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Utility of Market Sentiment
The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by:
Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend.
Identifying Reversals : Divergences and fractals can signal potential turning points.
Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades.
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Divergences
Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal.
- Bullish Divergence : Price makes a lower low, but the indicator makes a higher low.
- Bearish Divergence : Price makes a higher high, but the indicator makes a lower high.
The indicator detects divergences for:
RSI
MACD
Stochastic Oscillator
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution Line (A/D Line)
By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly.
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Trendlines
Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points:
- Upward Trendlines (Support) : Connect higher lows, indicating an uptrend.
- Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend.
These trendlines help traders visualize the trend direction and potential breakout or reversal points.
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Super Trend Reversals (ST Reversal)
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders:
Engage Early : Enter the market as reversal momentum builds up.
Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes.
By capturing these reversal points, traders can enhance their trading performance.
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Conclusion
The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions.
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Citations
- Divergence Detection Library : Divergence Indicator by DevLucem
- Trendline Drawing Library : Simple Trendlines by HoanGhetti
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Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions.
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Penunjuk Pine Script®
OrderBlock [kyleAlgo]The principle of this indicator
ATR (Average True Range) Setting: The code uses ATR to help calculate the Supertrend indicator.
Supertrend Trend Direction: Identify bullish and bearish trends with the Supertrend method.
Order Block Recognition: This part of the code recognizes and creates order blocks, visualizing them as boxes on the chart. If the number of blocks exceeds the maximum limit, old blocks will be deleted.
Function to prevent overlapping: check whether the new order block overlaps with the existing order block through the isOverlapping function.
Order block color setting: The code sets the color according to whether the block is bullish or bearish, and whether it breaks above or below. Afterwards the color of the existing order blocks will be updated.
Sensitivity settings: Through the input settings of factor and atrPeriod, the sensitivity of Supertrend and the detection of order blocks can be affected.
Visualization: Use TradingView's box.new function to draw and visualize order blocks on the chart.
Practicality:
Support and Resistance Levels: Order blocks may represent areas of support and resistance in the market. By visualizing these areas, traders can better understand when price reversals are likely to occur.
Trading Signals: Traders may be able to identify trading signals based on the color changes of blocks and price breakouts. For example, if the price breaks above a bullish block, this could be a signal to buy.
Risk Management: By using ATR to adjust the sensitivity of Supertrend, the symbol helps traders to adjust their strategies according to market volatility. This can be used as a risk management tool to help identify stop loss and take profit points.
Multi-timeframe analysis: Although the code itself does not implement multi-timeframe analysis directly, it can be done by applying this indicator on different timeframes. This helps to analyze the market from different angles.
Flexibility and Customization: Through sensitivity settings, traders can customize the indicator according to their needs and trading style.
Reduced screen clutter: By removing overlapping order blocks and limiting the maximum number of order blocks, this code helps reduce clutter on charts, allowing traders to analyze the market more clearly.
Overall, this "Pine Script" can be a powerful analytical tool for trend traders and those looking to improve their trading decisions by visualizing key market areas. It can be used alone or combined with other indicators and trading systems for enhanced functionality.
Penunjuk Pine Script®
Powertrend - Volume Range Filter Strategy [wbburgin]The Powertrend is a range filter that is based off of volume, instead of price. This helps the range filter capture trends more accurately than a price-based range filter, because the range filter will update itself from changes in volume instead of changes in price. In certain scenarios this means that the Powertrend will be more profitable than a normal range filter.
Essentials of the Strategy
This is a breakout strategy which works best on trending assets with high volume and liquidity. It should be used on middle to higher timeframes and can be used on all assets that have volume provided by the data source (stocks, crypto, forex). It is long-only as of now. It can work on lower timeframes if you optimize the strategy filters to make less trades or if your exchange/broker is low/no fees, provided that your exchange/broker has high liquidity and volume.
The strategy enters a long position if the range filter is trending upwards and the price crosses over the upper range band, which signifies a price-volume breakout. The strategy closes the long position if the range filter is trending downwards and the price crosses under the lower range band, which signifies a breakdown. Both these conditions can be altered by the three filter options in the settings. The default trend filter is not alterable because it helps prevent false entries and exits that are against the trend.
Settings
The Length setting is the lookback period for the range smoothing.
The ADX Filter setting enables you to turn on an ADX filter, which will halt entries and exits unless the ADX of your customizable length is above a ADX VWMA of that length.
The Range Supertrend setting creates a supertrend from the top and bottom ranges, which can be used to filter entries and exits. The length is customizable. The filter can show you whether the range is making higher highs and lower lows. Below is an example of the Range Supertrend being used as a filter and plotted on-chart:
The VWMA setting halts entries if they are below a customizable length VWMA.
Both the Range Supertrend and the VWMA can also be plotted separately without actually filtering the strategy, so that you can use them independently if you wish. You can turn off the bar color, the highlighting, and the labels if you wish in the settings. A note about the bar color: if the color changes but the strategy does not signal an exit or entry this means that the crossover was against the trend. In these circumstances it may be indicative of a pullback to enter or exit or to add onto your position.
About the Strategy Results Below
A range filter is normally composed of two components - the range filter itself and a smoothing function. In the development of this script I tested both normal and volume-based varieties of the range filter and the smoothing function:
Tests Performed
Volume-based Range x VWMA smoothing
Price-based Range x VWMA smoothing
Price-based Range x EMA smoothing
Volume-based Range x EMA smoothing (final result)
The highest-performing was a volume-based range filter and a normal EMA-based smoothing function, but that does not mean that this strategy will be profitable - exits are based off of signal reversion so I strongly encourage you to develop your own take profits/stop losses for the strategy if you think it may be a good fit for you. The results below are with a commission value of 0.05% (because I built the strategy first for equities), slippage of 3, so if your exchange/broker has a higher fee schedule, I recommend adding filters and/or moving to higher timeframes for the strategy. Additionally, I used 10% of equity in each trade, while using the Range Supertrend filter (the previous upload was unrealistic because it used 100% of equity - missed a 0, apologies, and added in slippage).
Strategi Pine Script®
Nifty36ScannerThis code is written for traders to be able to automatically scan 36 stocks of their choice for MACD , EMA200 + SuperTrend and Half Trend . Traders can be on any chart, and if they keep this scanner/indicator on , it will start displaying stocks meeting scanning criteria on the same window without having to go to Screener section and running it again and again. It will save time for traders and give them real time signals.
Indicators for scanning stocks are:
MACD
EMA200
Supertrend
HalfTrend - originally developed by EVERGET
Combination of EMA200 crossover/under and MACD crossover/under has worked well for me for long time, so using this combination as one of the criteria to
Scan the stocks. Using Everget's Half Trend method confirms the signal given by MACD , EMA200 and Supertrend Crossover.
I have added 36 of my favourite stocks from Nifty 50 lot. Users of this script can use the same stocks or change it by going into the settings of this scanner.
The Code is divided into 3 Sections
Section 1: Accepting input from users as boolean so that they can scan on the basis of one of the criteria or any combination of the criteria.
Section 2: "Screener function" to calculate Buy/ Sell on the basis of scanning criteria selected y the user.
screener=>
= ta.supertrend(2.5,10)
Buy/Sell on the basis of Supertrend crossing Close of the candle
//using ta.macd function to calculate MACD and Signal
= ta.macd(close, 12, 26, 9)
using HalfTrend indicator to calculate Buy/Sell signals , removed all the plotting functions from the code of Half Trend
Bringing Stock Symbols in S series variables
s1=input.symbol('NSE:NIFTY1!', title='Symbol1', group="Nifty50List", inline='0')
Assigning Bull/Bear ( Buy/Sell) signals to each stocks selected
=request.security(s1, tf, screener())
Assign BUY to all the stocks showing Buy signals using
buy_label1:= c1?buy_label1+str.tostring(s1)+'\n': buy_label1
Follow the same process for SELL Signals
Section 3: Plotting labels for the BUY/SELL result on the in terms of label for any stocks meeting the criteria with deletion of any previous signals to avoid clutter on the chart with so many signals generated in each candle
Display Buy siganaling stocks in teh form of label using Label.new function with parameters as follows:
barindex
close as series
color
textcolor
style as label_up,
yloc =price
textalign=left
Delete all the previous labels
label.delete(lab_buy )
STOCKS SELECTION
We have given range f 36 stocks from NIFTY 50 that can be selected at anytime,. User can chose their own 36 stocks using setting button.
INDICATORS SELECTION
1. MACD: It i sone of the most reliable trading strategy with 39.3% Success rate with 1.187 as profit factor for NIFTY Index on Daily time frame
2. EAM200 + Super trend : Combination of EMA200 crossover and Super trend removes any false positives and considered a very reliable way of scanning for Buy/Sell signals
3. HALF TREND: Originally developed as an indicator by Everget and modified as strategy by AlgoMojo, it generates Buy/Sell signals with 40.2% success rate with 1.469 as profit faction, on 15 minutes timeframe.
Penunjuk Pine Script®
MACandles-LinearRegression-StrategyThis is combination of multiple indicators and strategies. Mainly useful for indexes and to time the entry and exits of indexes. No stoploss used - makes it less desirable for leveraged trades or trading individual stocks.
Let us rewind and look back at some of the indicators/strategies published earlier.
1. Moving Average Candles - this is one of my favourite tool for general trend filtering. Applying supertrend on moving average candles is one of the easiest ways to find reversal in trending market without exiting positions too early. Few scripts published on this basis are:
MA Candles Supertrend
MA Candles Supertrend Strategy
2. VixFix and Linear Regression - this itself is combination of two indicators.
Williams-Vix-Fix-Finds-Market-Bottoms - by @ChrisMoody
Squeeze-Momentum-Indicator - by @LazyBear
I have combined these two indicators to derive VIX-Fix linear regression to find absolute market bottoms. More description here:
VixFixLinReg-Strategy
VixFixLinReg-Indicator
Now, in this strategy, we combine all these together.
Derive moving average candles
Derive momentum of moving average candles
Derive Linear regression on momentum
Optionally, also calculate VIX Fix and Linear regression on VixFix momentum
To find market bottom:
There are two options
1. Use when momentum of MA candles hit bottom (red) and slowly turn up (orange). In aggressiveLong mode, signals are also generated when momentum starts going positive from negative.
2. Use Vix Fix linear regression of MA candles as described in the original script of VixFixLinReg-Strategy
To find market top
Here only Ma candles momentum decreasing is used as signal. If looking for longTrades , exit signal is generated only when momentum is turning negative extreme(orange). Or else, exit signal is generated when momentum has turned neutral.
At this stage, it is very much experimental - use it with caution :)
Strategi Pine Script®
HTF High/Low Repaint StrategyHere is an another attempt to demonstrate repainting and how to avoid them. It happened few times to me that I develop a strategy which is giving immense returns - only to realize after few forward testing that it is repainting. Sometimes, it is well disguised even during forward testing.
In this simple strategy, conditions are as below:
Buy : When a 3M bar produces high and low higher than it's previous 3M bar high, low
Sell : When a 3M bar produces high and low lower than its previous 3M bar high, low.
Default setting is : lookahead = on and offset = 0
This means current 3M bar high low is plotted for all the daily bars within this month. Which means, strategy looks ahead of time to see this 3M bar high is higher than previous 3M bar high during the start of the first daily bar. Hence, this combination leads to massive repaint.
For example, trade made on October 2nd 2018 already knows well ahead of time that price is going to go down in next 3 months:
Similarly, after 2 years on October 2nd 2020 - the strategy already knows that last 3M high is going to be breached on 7th December 2020
Solution: If you are using security for higher timeframes, safer option is always to use offset 1. Further details in the trading view script:
BUT
It may still repaint if we are passing function to security.
For example:
f_secureSecurity(_symbol, _res, _src) => security(_symbol, _res, _src , lookahead = barmerge.lookahead
This function will likely avoid any repainting with Higher timeframe if we are passing in built variables such as high, low, close, open etc. But, if we try to pass supertrend, this will not produce right results. This is because supertrend calculation in turn uses high/low/close values which do not consider the offset while calculating. Hence, even with offset 1, this will still produce issues.
Hence, the call:
= f_secureSecurity(syminfo.tickerid, derivedResolution, supertrend(3,10), offset) will again lead to massive repainting. Solution to this is to implement supertrend function and use high, low, close values derived from secureSecurity.
Quick tips to identify or be suspicious about repainting
Unbelievable results on all timeframes and all instruments with both long and short trades
Lower timeframes giving significantly higher returns on backtest when compared to higher timeframe
If these things happen, be wary about repainting and do a through check of all security function usage in your strategy.
All the best :)
PS: Apply 3-5 days resolution and see the fun. Also, WHC is one hell of a Christmas tree. Could have made immense profit in the same strategy even without repainting.
Strategi Pine Script®
OathOath consists of 21 and 55 EMA , Commodity Channel Index and Supertrend indicator. It confirms a trend and gives you a signal on a pullback. Original creation worked on 1h EURUSD chart.
Oath is merely a rebrand of my previous Patient Trendfollower strategy. Unlike Patient Trendfollower, Oath has actually a good name and it does not fill your screen with noodles.
►Long setup:
• 21 EMA is above 55 EMA , which is above the Supertrend indicator.
• Commodity Channel Index is an oscillator, which prints into the chart if extreme levels are reached. Green is for a level above 100 or below -100, red is above 140 or below -140 and black is above 180 or below -180.
• If 21 EMA > 55EMA > Supertrend and an oversold signal appear, you can buy into the trend.
• When backtesting on 1h EURUSD , profit target 400 pips worked best with a stop-loss below Supertrend's bottom and the size of your spread. Spread values do not subtract from your profit.
• A picture shows two valid entries.
Further examples can be found in Patient Trendfollower 's description.
Thanks to:
• @everget for providing Supertrend solution.
• Satik FX who hand-tested the system by hand and reported results in this article. He is my main inspiration for creating the complete indicator as one because I want to be able to show and hide it with a single click.
Strategi Pine Script®
Patient Trendfollower (7)(alpha)Patient Trendfollower consists of 21 and 55 EMA, Commodity Channel Index and Supertrend indicator. It confirms a trend and gives you a signal on a pullback. Original creation worked on 1h EURUSD chart.
►Long setup:
• 21 EMA is above 55 EMA, which is above the Supertrend indicator.
• Commodity Channel Index is an oscillator, which prints into the chart if extreme levels are reached. Green is for a level above 100 or below -100, red is above 140 or below -140 and black is above 180 or below -180.
• If 21 EMA > 55EMA > Supertrend and an oversold signal appear, you can buy into the trend.
• When backtesting on 1h EURUSD, profit target 400 pips worked best with a stop-loss below Supertrend's bottom and the size of your spread.
• A picture shows two valid entries.
: This part still malfunctions and shows red dots over some green ones. It is important to disable red ones in the settings to see green ones.
Some more long signals:
Some short signals:
►Backtesting data with default settings and trading only green CCI signals with mentioned risk management strategy:
• 212 closed trades
• 58.96% profitable with average win trade 348 USD and average loss trade 263 USD when only green signals are followed.
• Profit factor 1.903, Sharpee 0.792
• 20 bars is average for all trades, short trades were 18 bars long on average.
With given data, you can see the strategy is profitable by itself. However, original risk management settings do work only on 1h charts of EURUSD and would need to be adjusted for other instruments based on average volatility.
Even though the profitability is low, you can increase your odds by a great margin, if you properly use price action (impulsive and corrective moves, patterns, bar analysis), if you trade when major exchanges are open, you may also use wave analysis such as Elliot Waves or Market Profiles to predict whether the next day might be a trending day. My backtesting program didn't consider these ideas.
Unfortunately, I won't be making backtesting strategy public with it anytime soon, because it still has some parts that do not work. I am ok with that since I understand the code and know what does malfunction and how. Then, there are parts which I am not sure how to fix yet. This is why the indicator is still considered alpha.
In the future when a strategy is published, you will also be able to set your own overbought/oversold values without entering the code itself and probably some other features. But I am not in a hurry for that. You can give me feedback on UX and try to figure out the best setups for other symbols, it might help to improve the automatic testing script when I know what I should achieve. My main point is to make this public for friends who can already be using it on EURUSD at least.
Close doesn't always have to be 400 pips, you might want to close on a logical level such as strong resistance or a trendline too.
Thanks to:
• @everget for providing Supertrend solution.
• Satik FX who hand-tested the system by hand and reported results in this article . He is my main inspiration for creating the complete indicator as one because I want to be able to show and hide it with a single click. My future scripts will also work as a whole strategy each by itself.
• The number in the script's name comes from Satik's numbering. A mentioned article was his seventh shared strategy.
Penunjuk Pine Script®
Big Bite + Lock Profit
Strategy Name: Big Bite + Lock Profit (Trend-Following with Dynamic Risk Management)
1. Core Concept
This strategy is a robust Trend-Following system designed to capture significant market moves while minimizing equity volatility. It combines long-term trend filters with volatility-based trailing stops and a partial profit-taking mechanism to ensure capital preservation.
2. Technical Indicators
Trend Filter: 200-period Exponential Moving Average (EMA 200).
Entry/Trailing Stop: Supertrend Indicator (default: 10-period, 3.0 Multiplier).
Volatility Measure: Average True Range (ATR) used for calculating the dynamic trailing stops.
3. Entry Logic (Long/Short)
Long Entry: Price must be trading above the EMA 200 AND the Supertrend flips from Bearish to Bullish.
Short Entry: Price must be trading below the EMA 200 AND the Supertrend flips from Bullish to Bearish.
Purpose: This ensures we only trade in the direction of the dominant macro-trend, significantly reducing "Whipsaw" losses during market consolidations.
4. Exit & Trade Management (The "Lock Profit" Mechanic)
Partial Take Profit (Locked Gains): Once the trade reaches a pre-defined target (e.g., 2% gain or a 1.5 R:R), 50% of the position is closed. This effectively "locks in" profit and moves the trade to a "risk-free" state.
Full Exit (Trend End): The remaining 50% of the position is held until the Supertrend signals a reversal (trend change). This allows the strategy to "let the winners run" and capture the "Big Bite" of major trends.
5. Strategy Strengths (Backtest Performance Insights)
High Sortino Ratio: The strategy demonstrates a high Sortino Ratio (approx. 5.47), indicating superior risk-adjusted returns with very low downside volatility.
Healthy Holding Period: Unlike "scalping" bots, this strategy has an average holding period of 40+ bars, making it highly resilient to slippage and high commission costs in live trading environments.
Asymmetric Reward-to-Risk: With an average win of ~1.28% vs. an average loss of ~0.41%, the strategy maintains a healthy 1:3 Reward-to-Risk ratio, ensuring long-term profitability even with a moderate win rate.
Strategi Pine Script®
btall//@version=5
strategy("AR | AlphaEdge Pro (No-Repaint) v1.0",
overlay=true,
initial_capital=100000,
commission_type=strategy.commission.percent,
commission_value=0.04,
slippage=1,
pyramiding=0,
calc_on_order_fills=true,
calc_on_every_tick=false,
process_orders_on_close=true)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Inputs
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
grp1 = "Trend + Signals"
useHTF = input.bool(true, "Use Higher TF Trend Filter", group=grp1)
htf = input.timeframe("240", "Higher Timeframe", group=grp1)
htfEmaLen = input.int(200, "HTF EMA Length", minval=1, group=grp1)
emaFastLen = input.int(21, "Fast EMA", minval=1, group=grp1)
emaSlowLen = input.int(55, "Slow EMA", minval=1, group=grp1)
stAtrLen = input.int(10, "Supertrend ATR Length", minval=1, group=grp1)
stFactor = input.float(3.0, "Supertrend Factor", minval=0.1, step=0.1, group=grp1)
rsiLen = input.int(14, "RSI Length", minval=1, group=grp1)
rsiBull = input.int(52, "RSI Bull Threshold", minval=1, maxval=99, group=grp1)
rsiBear = input.int(48, "RSI Bear Threshold", minval=1, maxval=99, group=grp1)
useVolFilter = input.bool(true, "Use Volume Filter", group=grp1)
volLen = input.int(20, "Volume SMA Length", minval=1, group=grp1)
volMult = input.float(1.2, "Volume Multiplier", minval=0.1, step=0.1, group=grp1)
grp2 = "Risk Management (ATR)"
atrLen = input.int(14, "ATR Length", minval=1, group=grp2)
slAtrMult = input.float(1.6, "Stop = ATR x", minval=0.1, step=0.1, group=grp2)
rr = input.float(2.0, "Risk:Reward (TP)", minval=0.1, step=0.1, group=grp2)
useRiskPct = input.bool(true, "Dynamic Position Size by Risk %", group=grp2)
riskPct = input.float(1.0, "Risk % of Equity per Trade", minval=0.05, step=0.05, group=grp2)
maxPosPct = input.float(20.0, "Max Position % of Equity Cap", minval=1.0, step=1.0, group=grp2)
grp3 = "Breakeven + Session"
useBE = input.bool(true, "Move Stop to Breakeven", group=grp3)
beTriggerATR = input.float(1.0, "Trigger After +ATR x", minval=0.1, step=0.1, group=grp3)
beOffsetATR = input.float(0.05, "BE Offset (ATR x)", minval=0.0, step=0.01, group=grp3)
useSession = input.bool(false, "Trade Only in Session", group=grp3)
sess = input.session("1000-1500", "Session (exchange time)", group=grp3)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Helper / Filters
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
inSession = not useSession or not na(time(timeframe.period, sess))
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
atr = ta.atr(atrLen)
volOk = not useVolFilter or (volume > ta.sma(volume, volLen) * volMult)
// Supertrend
= ta.supertrend(stFactor, stAtrLen) // stDir: 1 bullish, -1 bearish (TradingView behavior)
stBull = stDir == 1
stBear = stDir == -1
// HTF trend (lookahead_off to reduce repaint risk on historical vs realtime behavior)
htfEma = request.security(syminfo.tickerid, htf, ta.ema(close, htfEmaLen), barmerge.gaps_off, barmerge.lookahead_off)
htfBull = close >= htfEma
htfBear = close <= htfEma
trendOkLong = not useHTF or htfBull
trendOkShort = not useHTF or htfBear
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Entry Conditions (confirmed bar to avoid “intrabar” surprises)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
longSignal = barstate.isconfirmed and inSession and trendOkLong and stBull and close > emaFast and emaFast > emaSlow and rsi >= rsiBull and volOk
shortSignal = barstate.isconfirmed and inSession and trendOkShort and stBear and close < emaFast and emaFast < emaSlow and rsi <= rsiBear and volOk
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Position sizing by ATR stop distance (approx; works best on stocks/spot)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
f_posQty(_stopDist) =>
// Risk capital = equity * riskPct%
riskCapital = strategy.equity * (riskPct / 100.0)
// Qty to risk roughly riskCapital if stop hits
rawQty = _stopDist > 0 ? (riskCapital / _stopDist) : 0.0
// Cap position size by maxPosPct% of equity
maxPositionValue = strategy.equity * (maxPosPct / 100.0)
maxQty = close > 0 ? (maxPositionValue / close) : rawQty
qty = math.max(0.0, math.min(rawQty, maxQty))
qty
stopDist = atr * slAtrMult
qty = useRiskPct ? f_posQty(stopDist) : na
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Entries
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
if (longSignal and strategy.position_size <= 0)
strategy.entry("L", strategy.long, qty=useRiskPct ? qty : na)
if (shortSignal and strategy.position_size >= 0)
strategy.entry("S", strategy.short, qty=useRiskPct ? qty : na)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Exits (ATR SL/TP + optional Breakeven)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
isLong = strategy.position_size > 0
isShort = strategy.position_size < 0
entry = strategy.position_avg_price
longSL = entry - stopDist
longTP = entry + stopDist * rr
shortSL = entry + stopDist
shortTP = entry - stopDist * rr
// Breakeven logic
beTrig = atr * beTriggerATR
beOff = atr * beOffsetATR
if isLong and useBE
// if price moved in our favor enough -> raise stop to entry (+offset)
if (close - entry) >= beTrig
longSL := math.max(longSL, entry + beOff)
if isShort and useBE
if (entry - close) >= beTrig
shortSL := math.min(shortSL, entry - beOff)
// Submit exits every bar so they update dynamically
strategy.exit("XL", from_entry="L", stop=longSL, limit=longTP, when=isLong)
strategy.exit("XS", from_entry="S", stop=shortSL, limit=shortTP, when=isShort)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Visuals + Alerts
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
plot(emaFast, "EMA Fast", linewidth=2)
plot(emaSlow, "EMA Slow", linewidth=2)
plot(stLine, "Supertrend", linewidth=2)
plot(useHTF ? htfEma : na, "HTF EMA", linewidth=2)
plotshape(longSignal, title="Long Signal", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="L")
plotshape(shortSignal, title="Short Signal", style=shape.triangledown, location=location.abovebar, size=size.tiny, text="S")
alertcondition(longSignal, title="AlphaEdge Long", message="AlphaEdge LONG on {{ticker}} @ {{close}}")
alertcondition(shortSignal, title="AlphaEdge Short", message="AlphaEdge SHORT on {{ticker}} @ {{close}}")
Penunjuk Pine Script®
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions.
This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments.
Core Concept
This indicator answers one fundamental question:
Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range?
Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers.
How It Works
1) WMA Baseline (Directional Structure)
At its core, the indicator defines the market’s structural center using a Weighted Moving Average:
* WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness
* The baseline can optionally be smoothed further in intraday mode to reduce micro-chop
This provides a stable anchor for dispersion-based regime classification.
2) MAD Volatility Engine (Robust Dispersion Core)
Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline:
* Compute absolute deviation:
|Close − Baseline|
* Take rolling median of deviation over madLen
* Optional normalization scales MAD toward a stdev-like measure (via constant factor)
This makes volatility estimation:
* Outlier-resistant
* Wick-resistant
* Regime-stable during abnormal price spikes
3) MAD Bands + SuperTrend Trailing Logic (Regime State Model)
Bands are built as:
* Upper Band = Baseline + Factor × MAD
* Lower Band = Baseline − Factor × MAD
Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs.
That produces a state engine:
* Bull regime when price breaks above the trailing upper logic (transition into trend-up state)
* Bear regime when price breaks below the trailing lower logic (transition into trend-down state)
This behaves like a structural market regime model, not a reactive oscillator.
4) Strength Engine (Deviation-Based Intensity)
A defining layer of this tool is the MAD Z-score intensity system:
* Compute Z-score:
z = |Close − Baseline| / MAD
* Map into a 0 → 1 strength scale
Interpretation:
* Low deviation = weak regime confidence (likely chop / mean reversion)
* High deviation = strong regime confidence (trend expansion)
5) Intensity Visual Engine (Signal Clarity Layer)
WMA MAD Trend includes a protected visual engine that scales opacity with strength:
* Strong expansion = solid trend band
* Weak deviation = faded band
This gives immediate clarity:
Not all flips are equal — strength is displayed structurally.
6) Optional Institutional Filters
Two optional confirmation modules allow institutional-grade filtering:
Baseline Confirmation
* Bull flips only accepted if price is above baseline
* Bear flips only accepted if price is below baseline
EMA Stack Filter
* Bull only when Fast EMA > Slow EMA
* Bear only when Fast EMA < Slow EMA
These modules make the tool suitable for:
* Directional portfolio bias frameworks (RSPS)
* Regime classification overlays
* Trend confirmation filters for execution systems
7) Strong Flip Tier Alerts
Signal quality is tiered:
* Standard flip alerts
* Strong flip alerts only when deviation strength exceeds a threshold
This produces a higher-confidence regime transition model for swing positioning and exposure scaling.
How To Use
✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems
Best use cases:
* 1H–1D trend frameworks
* Regime filters for signal stacking
* Chop suppression in volatile markets
Suggested workflow:
* Bull bias when the regime is bullish and strength is rising
* Reduce risk / defensive when strength fades or a bearish flip occurs
* Pair with execution tools (breakout/mean-reversion entries) for timing
Screenshot Placement
📸 Example chart / screenshot: snapshot
Penunjuk Pine Script®
ATR Trailing Stop + HTF + Pivots (Non-Repainting📌 UT Bot PRO + HTF + Pivots + PP SuperTrend (Non-Repainting)
This indicator is a fully non-repainting trading system designed for intraday and swing traders.
It combines multiple high-probability confirmations into a single, clean signal engine.
🔍 What’s Inside
✔ ATR-based trailing stop (UT-Bot style logic)
✔ Heikin Ashi price smoothing
✔ Heikin Ashi VWAP trend confirmation
✔ Higher-Timeframe EMA filter (no lookahead)
✔ Volume strength confirmation
✔ Auto timeframe Standard Pivot Points (PP, R1, R2, S1, S2)
✔ Pivot Point SuperTrend for market direction
✔ ATR-based Stop Loss & Take Profit levels
🔒 Non-Repainting Guarantee
Signals trigger only on confirmed candle close
Higher timeframe data uses lookahead_off
Pivot calculations are confirmed (no future data)
Signals will not disappear or shift after printing
📈 Trading Logic
BUY Signal
Price crosses above ATR trailing stop
Pivot SuperTrend is bullish
Price above HA VWAP
HTF EMA trend is bullish
Volume above average
SELL Signal
Price crosses below ATR trailing stop
Pivot SuperTrend is bearish
Price below HA VWAP
HTF EMA trend is bearish
Volume above average
⚙️ Recommended Settings
Intraday (5m–15m): HTF = 15m
Scalping (1m–5m): HTF = 5m
Swing (15m–1H): HTF = 1H
SL: 1.5 × ATR
TP: 3 × ATR
🧠 Best Used For
Crypto
Forex
Indices
Stocks
Works best in trending markets. Avoid very low-volume or choppy sessions.
⚠️ Disclaimer
This indicator is for educational purposes only.
No trading strategy guarantees profits. Always use proper risk management and test before live trading.
Penunjuk Pine Script®
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals
Overview:
The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives.
Key Features:
* Multi-Indicator Confluence Scoring: Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets.
* Dynamic Prediction Thresholds: ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases.
* Visual Analysis Table: A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans.
* Projection Candles: Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets.
Buy/Sell Signals and Alerts: Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities.
* Customizable Inputs: Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures.
How It Works:
This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example:
In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities.
Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends.
Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies.
Usage Instructions:
1. Add the indicator to your TradingView chart.
2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals).
3. Monitor the analysis table for predictions and confluence scores.
4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management.
5. Enable projection candles for visual forecasting of the next bar.
Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis.
Rate and review if it boosts your trades!
Thank you!
Penunjuk Pine Script®
Kalman Hull Kijun [BackQuant]Kalman Hull Kijun
A trend baseline that merges three ideas into one clean overlay, Kalman filtering for noise control, Hull-style responsiveness, and a Kijun-like Donchian midline for structure and bias.
Context and lineage
This indicator sits in the same family as two related scripts:
Kalman Price Filter
This is the foundational building block. It introduces the Kalman filter concept, a state-estimation algorithm designed to infer an underlying “true” signal from noisy measurements, originally used in aerospace guidance and later adopted across robotics, economics, and markets.
Kalman Hull Supertrend
This is the original script made, which people loved. So it inspired me to create this one.
Kalman Hull Kijun uses the same core philosophy as the Supertrend variant, but instead of building a Supertrend band system, it produces a single structural baseline that behaves like a Kijun-style reference line.
What this indicator is trying to solve
Most trend baselines sit on a bad trade-off curve:
If you smooth hard, the line reacts late and misses turns.
If you react fast, the line whipsaws and tracks noise.
Kalman Hull Kijun is designed to land closer to the middle:
Cleaner than typical fast moving averages in chop.
More responsive than slow averages in directional phases.
More “structure aware” than pure averages because the baseline is range-derived (Kijun-like) after filtering.
Core idea in plain language
The plotted line is a Kijun-like baseline, but it is not built from raw candles directly.
High level flow:
Start with a chosen price stream (source input).
Reduce measurement noise using Kalman-style state estimation.
Add Hull-style responsiveness so the filtered stream stays usable for trend work.
Build a Kijun-like baseline by taking a Donchian midpoint of that filtered stream over the base period.
So the output is a single baseline that is intended to be:
Less jittery than a simple fast MA.
Less laggy than a slow MA.
More “range anchored” than standard smoothing lines.
How to read it
1) Trend and bias (the primary use)
Price above the baseline, bullish bias.
Price below the baseline, bearish bias.
Clean flips across the baseline are regime changes, especially when followed by a hold or retest.
2) Retests and dynamic structure
Treat the baseline like dynamic S/R rather than a signal generator:
In uptrends, pullbacks that respect the baseline can act as continuation context.
In downtrends, reclaim failures around the baseline can act as continuation context.
Repeated back-and-forth around the line usually means compression or chop, not clean trend.
3) Extension vs compression (using the fill)
The fill is meant to communicate “distance” and “pressure” visually:
Large separation between price and baseline suggests expansion.
Price compressing into the baseline suggests rebalancing and decision points.
Inputs and what they change
Kijun Base Period
Controls the structural memory of the baseline.
Higher values track broader swings and reduce flips.
Lower values track tighter swings and react faster.
Kalman Price Source
Defines what data the filter is estimating.
Close is usually the cleanest default.
HL2 often “feels” smoother as an average price.
High/Low sources can become more reactive and less stable depending on the market.
Measurement Noise
Think of this as the main smoothness knob:
Higher values generally produce a calmer filtered stream.
Lower values generally produce a faster, more reactive stream.
Process Noise
Think of this as adaptability:
Higher values adapt faster to changing conditions but can get twitchy.
Lower values adapt slower but stay stable.
Plotting and UI (what you see on chart)
1) Adaptive line coloring
Baseline turns bullish color when price is above it.
Baseline turns bearish color when price is below it.
This makes the state readable without extra panels.
2) Gradient “energy” fill
Bull fill appears between price and baseline when above.
Bear fill appears between price and baseline when below.
The goal is clarity on separation and control, not decoration.
3) Rim effect
A subtle band around price that only appears on the active side.
Helps highlight directional control without hiding candles.
4) Candle painting (optional)
Candles can be colored to match the current bias.
Useful for scanning many charts quickly.
Disable if you prefer raw candles.
Alerts
Long state alert when price is above the baseline.
Short state alert when price is below the baseline.
Best used as a bias or regime notification, not a standalone entry trigger.
Where it fits in a workflow
This is a context layer, it pairs well with:
Market structure tools, BOS/MSB, OBs, FVGs.
Momentum triggers that need a regime filter.
Mean reversion tools that need “do not fade trends” context.
Limitations
No baseline eliminates chop whipsaws, tuning only manages the trade-off.
Settings should not be copy pasted across assets without checking behavior.
This does not forecast, it estimates and smooths state, then expresses it as a structural baseline.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
If you use it in any trading workflow, do proper backtesting, forward testing, and risk management before any live execution.
Penunjuk Pine Script®
Tunç ŞatıroğluTunç Şatıroğlu's Technical Analysis Suite
Description:
This comprehensive Pine Script indicator, inspired by the technical analysis teachings of Tunç Şatıroğlu, integrates six powerful TradingView indicators into a single, user-friendly suite for robust trend, momentum, and divergence analysis. Each component has been carefully selected and enhanced by beytun to improve functionality, performance, and visual clarity, aligning with Şatıroğlu's approach to technical analysis. The default configuration is meticulously set to match the exact settings of the individual indicators as used by Tunç Şatıroğlu in his training, ensuring authenticity and ease of use for followers of his methodology. Whether you're a beginner or an experienced trader, this suite provides a versatile toolkit for analyzing markets across multiple timeframes.
Included Indicators:
1. WaveTrend with Crosses (by LazyBear, modified): A momentum oscillator that identifies overbought/oversold conditions and trend reversals with clear buy/sell signals via crosses and bar color highlights.
2. Kaufman Adaptive Moving Average (KAMA) (by HPotter, modified): A dynamic moving average that adapts to market volatility, offering a smoother trend-following signal.
3. SuperTrend (by Alex Orekhov, modified): A trend-following indicator that plots dynamic support/resistance levels with buy/sell signals and optional wicks for enhanced accuracy.
4. Nadaraya-Watson Envelope (by LuxAlgo, modified): A non-linear envelope that highlights potential reversals with customizable repainting options for smoother outputs.
5. Divergence for Many Indicators v4 (by LonesomeTheBlue, modified): Detects regular and hidden divergences across multiple indicators (MACD, RSI, Stochastic, CCI, Momentum, OBV, VWMA, CMF, MFI, and more) for early reversal signals.
6. Ichimoku Cloud (TradingView built-in, modified): A multi-faceted indicator for trend direction, support/resistance, and momentum, with enhanced visuals for the Kumo Cloud.
Key Features:
- Authentic Default Settings : Pre-configured to mirror the exact parameters used by Tunç Şatıroğlu for each indicator, ensuring alignment with his proven technical analysis approach.
- Customizable Settings : Enable/disable individual indicators and fine-tune parameters to suit your trading style while retaining the option to revert to Şatıroğlu’s defaults.
- Enhanced User Experience : Modifications improve visual clarity, performance, and usability, with options like repainting smoothing for Nadaraya-Watson and adjustable Ichimoku projection periods.
- Multi-Timeframe Analysis : Combines trend-following, momentum, and divergence tools for a holistic view of market dynamics.
- Alert Conditions : Built-in alerts for SuperTrend direction changes, buy/sell signals, and divergence detections to keep you informed.
- Visual Clarity : Overlays (KAMA, SuperTrend, Nadaraya-Watson, Ichimoku) and pane-based indicators (WaveTrend, Divergences) are clearly distinguished, with customizable colors and styles.
Notes:
- The Nadaraya-Watson Envelope and Ichimoku Cloud may repaint in their default modes. Use the "Repainting Smoothing" option for Nadaraya-Watson or adjust Ichimoku settings to mitigate repainting if preferred.
- Published under the MIT License, with components licensed under GPL-3.0 (SuperTrend), CC BY-NC-SA 4.0 (Nadaraya-Watson), MPL 2.0 (Divergence), and TradingView's terms (Ichimoku Cloud).
Usage:
Add this indicator to your TradingView chart to leverage Tunç Şatıroğlu’s exact indicator configurations out of the box. Customize settings as needed to align with your strategy, and use the combined signals to identify trends, reversals, and divergences. Ideal for traders following Şatıroğlu’s methodologies or anyone seeking a powerful, all-in-one technical analysis tool.
Credits:
Original authors: LazyBear, HPotter, Alex Orekhov, LuxAlgo, LonesomeTheBlue, and TradingView.
Modifications and integration by beytun .
License:
Published under the MIT License, incorporating code under GPL-3.0, CC BY-NC-SA 4.0, MPL 2.0, and TradingView’s terms where applicable.
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