Clean OHLC Lines | BaksPlots clean, non-repainting OHLC lines from higher timeframes onto your chart. Ideal for tracking key price levels (open, high, low, close) with precision and minimal clutter.
Core Functionality
Clean OHLC Lines = Historical Levels + Non-Repainting Logic
• Uses lookahead=on to anchor historical lines, ensuring no repainting.
• Displays OHLC lines for customizable timeframes (15min to Monthly).
• Optional candlestick boxes for visual context.
Key Features
• Multi-Timeframe OHLC:
Plot lines from 15min, 30min, 1H, 4H, Daily, Weekly, or Monthly timeframes.
• Non-Repainting Logic:
Historical lines remain static and never recalculate.
• Customizable Styles:
Adjust colors, line widths (1px-4px), and transparency for high/low/open/close lines.
• Candle Display:
Toggle candlestick boxes with bull/bear colors and adjustable borders.
• Past Lines Limit:
Control how many historical lines are displayed (1-500 bars).
User Inputs
• Timeframe:
Select the OHLC timeframe (e.g., "D" for daily).
• # Past Lines:
Limit historical lines to avoid overcrowding (default: 10).
• H/L Mode:
Draw high/low lines from the current or previous period.
• O/C Mode:
Anchor open/close lines to today’s open or yesterday’s close.
• Line Styles:
Customize colors, transparency, and styles (solid/dotted/dashed).
• Candle Display:
Toggle boxes/wicks and adjust bull/bear colors.
Important Notes
⚠️ Alignment:
• Monthly/weekly timeframes use fixed approximations (30d/7d).
• For accuracy, ensure your chart’s timeframe ≤ the selected OHLC timeframe (e.g., use 1H chart for daily lines).
⚠️ Performance:
• Reduce # Past Lines on low-end devices for smoother performance.
Risk Disclaimer
Trading involves risk. OHLC lines reflect historical price levels and do not predict future behavior. Use with other tools and risk management.
Open-Source Notice
This script is open-source under the Mozilla Public License 2.0. Modify or improve it freely, but republishing must follow TradingView’s House Rules.
📈 Happy trading!
Multitimeframe
Arbitrage Synthetic Spread Chart v2Powerful tool for analyzing market divergences and identifying arbitrage opportunities! It creates a synthetic spread chart between two assets, displaying it in a clear format and helping traders spot moments of maximum decorrelation.
How does it work?
The indicator takes the closing prices of two assets and calculates their difference (spread):
spread = price1 - price2
Then, it constructs a price channel based on the highest and lowest values of the spread over a given period:
-Upper boundary: The highest spread value over the period
- Lower boundary: The lowest spread value over the period
- Middle line: The average of the upper and lower boundaries
Additionally, the indicator calculates the **correlation** between the two assets, helping traders assess their relationship strength.
How to use it?
When the spread reaches the channel boundaries, it may indicate an abnormal divergence between the assets. This serves as a signal for arbitrage trading:
✅ At the upper boundary: Sell Asset 1 and buy Asset 2
✅ At the lower boundary: Buy Asset 1 and sell Asset 2
cd_otherpair_CxThis indicator provides options to follow the pair or pairs we are interested in on the higher timeframe.
Overview:
What can be done?
- One symbol in different time frames,
- Single symbol same/different time frames at different brokers,
- Double symbols can be displayed in the same/different time frames.
How is the price of the second symbol calculated?
In the daily (optional) candle opening, the opening price of the second symbol is taken as the opening price of the first symbol and the ‘high, low, ,open, close’ prices of the second symbol are determined by monitoring (scaling) the percentage changes relative to the opening price.
Settings :
Examples :
1- One symbol in different time zones,
2- One symbol, same timeframe, different brokers
3- Double symbol same time frame
4- One symbol (perpetual/spot)
Note : Default settings are for lower time frames.
Do not forget to select a higher time zone in the ‘Htf for adjusment’ tab.
For example, ‘1M’ monthly can be selected to display daily HTF candle on the H4 timeframe chart.
Final Word :Divergences between pairs with the help of indicators and other confirmations, The appearance of the symbol on different timeframes or brokers or the divergences between different symbols will be supportive when deciding to enter a trade.
It would be nice to hear your criticisms and suggestions.
Cheerful trades…
Türkçe açıklama :
Bu indikatör ilgilendiğimiz sembol veya sembolleri, üst zaman diliminde takip etmek için seçenekler sunar.
Neler yapılabilir ?
- Tek sembolü farklı zaman dilimlerinde,
- Tek sembolü aynı/farklı zaman dilimi farklı brokerlar da,
- Çift sembolü aynı/farklı zaman diliminde gösterebilir.
İkinci sembolün fiyatı nasıl hesaplanır ?
Günlük(opsiyonel) mum açılışında, ikinci sembolün açılış fiyatı, ilk sembolün açılış fiyatı kabul edilir ve açılış fiyatına göre yüzdesel değişimleri izlenerek (ölçeklenerek) ikinci sembolün "high, low, ,open ,close" fiyatları belirlenir.
Örnekler İngilizce bölümdedir.
Not : Varsayılan ayarlar düşük zaman dilimleri içindir.
Üst zaman dilimi çalışmalarda "Htf for adjusment" sekmesinde daha üst zaman dilimi seçmeyi unutmayın.
Örnek: H4 zaman dilimi grafikte daily HTF candle görüntüleme yapmak için "1M" aylık seçilebilir.
Son söz : Sembolün farklı zaman dilimi veya brokerda ki görüntüsü ya da farklı semboller arası divergencelar, işleme giriş kararı verirken destekleyici olacaktır.
Eleştiri ve önerilerinizi duymak sevindirici olacaktır.
Neşeli tradeler.
XAUUSD Correlation IndicatorXAUUSD Correlation Indicator
Questo indicatore per TradingView calcola e visualizza la correlazione tra il prezzo di XAUUSD (oro) e una serie di altri asset finanziari, tra cui valute (EURUSD, AUDUSD, NZDUSD, GBPUSD), metalli preziosi (platino, argento), indici azionari (SPX500, DJI, NASDAQ) e il dollaro statunitense (DXY).
L'indicatore offre:
1. Correlazione: Calcola la correlazione tra XAUUSD e gli altri asset su un periodo personalizzabile, dove un numero superiore allo 0 indica una correlazione positiva ed un numero inferiore allo 0 indica una correlazione negativa.
2. Variazione percentuale: Mostra la variazione percentuale dei prezzi degli asset rispetto all'apertura.
3. Visualizzazione personalizzabile: Permette di ordinare i dati in base alla correlazione o alla variazione percentuale.
4. Tabella interattiva: I risultati sono visualizzati in una tabella colorata, con opzioni per personalizzare i colori di sfondo, testo e bordi.
Ideale per trader e analisti che vogliono monitorare le relazioni tra l'oro e altri mercati in tempo reale, questo strumento aiuta a identificare opportunità di trading basate su correlazioni e tendenze di mercato.
[#ps #mft] RDT's Real Relative StrengthIndicator to use with Pine Screener for filtering watchlists with RDT's Real Relative Strength.
See r/realdaytrading for more info on the RRS.
How to:
1. Mark the indicator as "Favorite".
2. Open Pine Screener.
3. Choose a watchlist.
4. Choose this indicator.
5. Change the settings as needed.
6. Make sure you set timeframe to "5 minutes" and not the default "1 day".
If you choose "Bullish trend", then "Signal X" is a shortcut for RRS > 0 for that timeframe. Similarly "Bearish trend" for "Signal X" means RRS < 0.
Pro-tip #1: use Symbol syncing between tabs to easily go over the results.
Pro-tip #2: you can have two tabs open for "Bullish" and "Bearish" pine screeners (even synced to the same color), so you don't have to change settings everytime.
Quantum Moving Average - QMA (TechnoBlooms)The Quantum Moving Average (QMA) is an innovative and advanced Moving Average model designed for traders seeking a more adaptive and precise trend analysis. Unlike traditional moving averages, it integrates a multi-timeframe approach, dynamically selecting and weighting four different timeframes to provide traders with more accurate and reliable trend prediction.
Key Features
Multi-Timeframe averaging
QMA calculates its value based on four different timeframes, offering a broader perspective on market trends.
Dynamic Weighting Mechanism
Unlike fixed weight Moving Averages, QMA assigns adaptive weightage to the selected timeframes, enhancing its responsiveness.
Superior Trend Detection
Provides a smoother and more reliable trend curve reducing noise or false signals.
Enhanced Market Analysis
QMA helps traders identify trend shifts earlier by incorporating multi-timeframe confluence.
Multi-Timeframe PSAR Indicator ver 1.0Enhance your trend analysis with the Multi-Timeframe Parabolic SAR (MTF PSAR) indicator! This powerful tool displays the Parabolic SAR (Stop and Reverse) from both the current chart's timeframe and a higher timeframe, all in one convenient view. Identify potential trend reversals and set dynamic trailing stops with greater confidence by understanding the broader market context.
Key Features:
Dual Timeframe Analysis: Simultaneously visualize the PSAR on your current chart and a user-defined higher timeframe (e.g., see the Daily PSAR while trading on the 1-hour chart). This helps you align your trades with the dominant trend.
Customizable PSAR Settings: Fine-tune the PSAR calculation with adjustable Start, Increment, and Maximum values. Optimize the indicator's sensitivity to match your trading style and the volatility of the asset.
Independent Timeframe Control: Choose to display either or both the current timeframe PSAR and the higher timeframe PSAR. Focus on the information most relevant to your analysis.
Clear Visual Representation: Distinct colors for the current and higher timeframe PSAR dots make it easy to differentiate between the two. Quickly identify potential entry and exit points.
Configurable Colors You can easily change colors of Current and HTF PSAR.
Standard PSAR Logic: Uses the classic Parabolic SAR algorithm, providing a reliable and widely-understood trend-following indicator.
lookahead=barmerge.lookahead_off used in the security function, there is no data leak or repainting.
Benefits:
Improved Trend Identification: Spot potential trend changes earlier by observing divergences between the current and higher timeframe PSAR.
Enhanced Risk Management: Use the PSAR as a dynamic trailing stop-loss to protect profits and limit potential losses.
Greater Trading Confidence: Make more informed decisions by considering the broader market trend.
Reduced Chart Clutter: Avoid the need to switch between multiple charts to analyze different timeframes.
Versatile Application: Suitable for various trading styles (swing trading, day trading, trend following) and markets (stocks, forex, crypto, etc.).
How to Use:
Add to Chart: Add the "Multi-Timeframe PSAR" indicator to your TradingView chart.
Configure Settings:
PSAR Settings: Adjust the Start, Increment, and Maximum values to control the PSAR's sensitivity.
Multi-Timeframe Settings: Select the desired "Higher Timeframe PSAR" resolution (e.g., "D" for Daily). Enable or disable the display of the current and/or higher timeframe PSAR using the checkboxes.
Interpret Signals:
Current Timeframe PSAR: Dots below the price suggest an uptrend; dots above the price suggest a downtrend.
Higher Timeframe PSAR: Provides context for the overall trend. Agreement between the current and higher timeframe PSAR strengthens the trend signal. Divergences may indicate potential reversals.
Trade Management:
Use PSAR dots as dynamic trailing stop.
Example Use Cases:
Confirming Trend Strength: A trader on a 1-hour chart sees the 1-hour PSAR flip bullish (dots below the price). They check the MTF PSAR and see that the Daily PSAR is also bullish, confirming the strength of the uptrend.
Identifying Potential Reversals: A trader sees the current timeframe PSAR flip bearish, but the higher timeframe PSAR remains bullish. This divergence could signal a potential pullback within a larger uptrend, or a warning of a more significant reversal.
Trailing Stops: A trader enters a long position and uses the current timeframe PSAR as a trailing stop, moving their stop-loss up as the PSAR dots rise.
Disclaimer: The Parabolic SAR is a lagging indicator and may produce false signals, especially in ranging markets. It is recommended to use this indicator in conjunction with other technical analysis tools and risk management strategies. Past performance is not indicative of future results.
MTF TTM Squeeze ProOverview
The MTF TTM Squeeze Pro indicator helps traders identify market compression (squeeze) conditions and analyze momentum across multiple timeframes. It is based on the TTM Squeeze concept, which uses Bollinger Bands and Keltner Channels to detect price consolidation periods that often precede strong breakouts.
This script enhances the standard TTM Squeeze by providing a multi-timeframe view, allowing traders to assess market conditions across intraday, daily, and weekly charts simultaneously.
⸻
How It Works
1. Squeeze Detection using Bollinger Bands & Keltner Channels
• High Compression Squeeze (Orange): Strongest squeeze, indicating extreme consolidation.
• Medium Compression Squeeze (Red): Moderate squeeze, potential breakout setup.
• Low Compression Squeeze (Black): Mild squeeze, possible momentum shift.
• No Squeeze (Green): Market is trending, no consolidation detected.
2. Momentum Analysis
The script features a custom linear regression momentum oscillator to gauge market direction:
• Positive rising momentum (Aqua) suggests bullish acceleration.
• Positive falling momentum (Blue) indicates slowing bullish momentum.
• Negative rising momentum (Red) signals bearish weakening.
• Negative falling momentum (Yellow) represents strengthening bearish momentum.
3. Multi-Timeframe Display
The indicator provides a table panel showing squeeze conditions and momentum colors for:
✅ 15m, 30m, 55m, 78m, 195m, Daily (D), and Weekly (W) timeframes.
This makes it easier to spot confluences across different periods, helping traders align their entries with larger trends.
⸻
How to Use
✔️ Look for a high compression squeeze (orange dots) as potential breakout zones.
✔️ Check if momentum colors are aligned across multiple timeframes to confirm direction.
✔️ Trade in the direction of momentum once the squeeze is released.
Best Used For:
📈 Swing Trading – Identify multi-day setups using the D/W squeeze signals.
📉 Intraday Trading – Use 15m-78m signals for faster entries and exits.
⸻
Credits & Open-Source Compliance
This script is inspired by the original TTM Squeeze Pro and based on open-source contributions from the TradingView community. Significant modifications include:
✔️ Improved multi-timeframe data request for momentum & squeeze.
✔️ Enhanced visual display with a compact and informative table panel.
✔️ Added detailed documentation for better usability.
📌 Original Source: TradingView Script by Beardy_Fred
⸻
Final Notes
✅ Designed for stocks, forex, and crypto.
✅ Fully customizable squeeze & momentum settings.
Enjoy trading, and may the squeeze be with you! 🚀
SuperTrend Bar Counter - DolphinTradeBot
OVERVIEW
This indicator calculates the lengths of upward and downward trends based on the specified SuperTrend settings and timeframe. It then takes the average length of the entered number of swings and compares the current trend durations with these averages. The main goal is to anticipate potential reversals in advance.
HOW IS IT WORK ?
The indicator actually contains two different but conceptually similar metrics.
The first part; shows how long the Supertrend stays in an upward or downward trend in real time. Additionally, it analyzes how close the current value is to the average of the Supertrend bar count for the given input.
The second part; aims to provide a different perspective on general trend analysis. It calculates the average duration of upward and downward trends in bars based on the SuperTrend indicator settings within a specified period and timeframe. If, contrary to expectations, downward trends last longer than upward trends, the background is colored green, indicating a prediction that the trend will continue upward.
Explanation of the second part logic: As you know, moving averages or similar approaches that follow the price are often correct when looking back retrospectively, but they cannot serve as leading indicators in real-time trading.That's why, when performing trend analysis, I wanted to introduce a completely different perspective based on price movement, yet still grounded in price action itself.
This phenomenon is partly due to the nature of the SuperTrend itself. After strong price movements, SuperTrend tends to reverse direction much more quickly during pullbacks. Following a strong upward move, a downward trend is detected much earlier and tends to last longer. The indicator provides an alternative perspective by analyzing which directional movement occurs more rapidly and uses this insight for trend prediction.
HOW TO USE ?
It can be used to identify potential price reversals or to assess whether the price is generally cheap or expensive.
In the settings section, you can adjust the SuperTrend parameters and timeframes for the values displayed in the table.
In the second part, you can configure the values used for general trend analysis.
NOTE
Things to be aware of: As the chart's timeframe decreases, pulling data from higher timeframes becomes more difficult. For example, when the chart is set to a 5-minute timeframe, it may fail to retrieve swing periods from the daily timeframe. Similarly, on a 4-hour chart, when calculating the average swing, there might be enough data for only 5 periods instead of 20.
Please keep in mind that this indicator was created solely to provide an idea. It should only be considered as a perspective or a supporting tool that influences your decision by no more than 5% at most.
[GYTS-CE] Market Regime Detector🧊 Market Regime Detector (Community Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector is an advanced, consensus-based indicator that identifies the current market state to increase the probability of profitable trades. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions, this detector helps you select appropriate tactics for different environments. Instead of forcing a single strategy across all market conditions, our detector allows you to adapt your approach based on real-time market behaviour.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. Detecting these regimes is essential for successful trading, which is why we've developed the Market Regime Detector to accurately identify market states using complementary detection methods.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs two complementary detection methodologies that analyse different aspects of market behaviour:
• Dominant Cycle Average (DCA) - analyzes price movement relative to its lookback period, a proxy for the dominant cycle
• Volatility Channel - examines price behaviour within adaptive volatility bands
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Dominant Cycle Framework
The Market Regime Detector uses the concept of dominant cycles to establish a reference framework. You can input the dominant cycle period that best represents the natural rhythm of your market, providing a stable foundation for regime detection across different timeframes.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customizable colour schemes to match your preferences or trading system
💮 Integration in the GYTS suite
The Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the 🎼 Order Orchestrator where you can set how to trade the trending and cyclic regime.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
Very Low: Very slow adaptation, most stable but may miss regime changes
Low: Slower adaptation, more stability but less responsiveness
Normal: Balanced between stability and responsiveness
High: Faster adaptation, more responsive but less stable
Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls how sensitive the detector is to market regime transitions. This acts as a high-frequency, short-term change parameter:
Very Low: Requires substantial evidence to identify a regime change
Low: Less sensitive, reduces false signals but may miss some transitions
Normal: Balanced sensitivity suitable for most markets
High: More sensitive, detects subtle regime changes but may have more noise
Very High: Very sensitive, detects minor fluctuations but may produce frequent changes
This setting affects thresholds for regime detection across all methods.
💮 Dominant Cycle Period
This parameter allows you to specify the market's natural rhythm in bars. This represents a complete market cycle (up and down movement). Finding the right value for your specific market and timeframe might require some experimentation, but it's a crucial parameter that helps the detector accurately identify regime changes. Most of the times the cycle is between 20 and 40 bars.
💮 Consensus Mode
Determines how the signals from both detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if either method detects that regime. If methods conflict (one bullish, one bearish), the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when both methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances both methods with equal weighting. Provides a middle ground between sensitivity and stability.
Each mode also calculates a continuous regime strength value that's used for colour intensity in the 'unconstrained' display mode.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the colour indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades: Bullish trending market (darker purple indicates stronger bullish trend)
• Pink shades: Bearish trending market (darker pink indicates stronger bearish trend)
• Yellow: Cyclic (range-bound) market
💮 Custom Colour Options
The Market Regime Detector allows you to customize the colour scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own colour choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic colour: Define a custom colour for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Dominant Cycle Average (DCA)
The Dominant Cycle Average method forms a key part of our detection system:
1. Theoretical Foundation :
The DCA method builds on cycle analysis and the observation that in trending markets, price consistently remains on one side of a moving average calculated using the dominant cycle period. In contrast, during cyclic markets, price oscillates around this average.
2. Calculation Process :
• We calculate a Simple Moving Average (SMA) using the specified lookback period - a proxy for the dominant cycle period
• We then analyse the proportion of time that price spends above or below this SMA over a lookback window. The theory is that the price should cross the SMA each half cycle, assuming that the dominant cycle period is correct and price follows a sinusoid.
• This lookback window is adaptive, scaling with the dominant cycle period (controlled by the Adaptability setting)
• The different values are standardised and normalised to possess more resolving power and to be more robust to noise.
3. Regime Classification :
• When the normalised proportion exceeds a positive threshold (determined by Sensitivity setting), the market is classified as bullish trending
• When it falls below a negative threshold, the market is classified as bearish trending
• When the proportion remains between these thresholds, the market is classified as cyclic
💮 Volatility Channel
The Volatility Channel method complements the DCA method by focusing on price movement relative to adaptive volatility bands:
1. Theoretical Foundation :
This method is based on the observation that trending markets tend to sustain movement outside of normal volatility ranges, while cyclic markets tend to remain contained within these ranges. By creating adaptive bands that adjust to current market volatility, we can detect when price behaviour indicates a trending or cyclic regime.
2. Calculation Process :
• We first calculate a smooth base channel center using a low pass filter, creating a noise-reduced centreline for price
• True Range (TR) is used to measure market volatility, which is then smoothed and scaled by the deviation factor (controlled by Sensitivity)
• Upper and lower bands are created by adding and subtracting this scaled volatility from the centreline
• Price is smoothed using an adaptive A2RMA filter, which has a very flat and stable behaviour, to reduce noise while preserving trend characteristics
• The position of this smoothed price relative to the bands is continuously monitored
3. Regime Classification :
• When smoothed price moves above the upper band, the market is classified as bullish trending
• When smoothed price moves below the lower band, the market is classified as bearish trending
• When price remains between the bands, the market is classified as cyclic
• The magnitude of price's excursion beyond the bands is used to determine trend strength
4. Adaptive Behaviour :
• The smoothing periods and deviation calculations automatically adjust based on the Adaptability setting
• The measured volatility is calculated over a period proportional to the dominant cycle, ensuring the detector works across different timeframes
• Both the center line and the bands adapt dynamically to changing market conditions, making the detector responsive yet stable
This method provides a unique perspective that complements the DCA approach, with the consensus mechanism synthesising insights from both methods.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability and Sensitivity, Weighted Decision for Consensus Mode) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Finding the Optimal Dominant Cycle
The dominant cycle period is a critical parameter. Here are some approaches to finding an appropriate value:
• Start with typical values, usually something around 25 works well
• Visually identify the average distance between significant peaks and troughs
• Experiment with different values and observe which provides the most stable regime identification
• Consider using cycle-finding indicators to help identify the natural rhythm of your market
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasize buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
Higher Timeframe Support/ResistanceMulti-Timeframe Support/Resistance Indicator
This TradingView indicator helps you monitor important support and resistance levels based on the previous candle’s high, low, and close from a higher timeframe. By default, it uses a daily timeframe, but you can adjust this to any timeframe you want.
Key Features:
- Previous Candle High (PCH) and Previous Candle Low (PCL):
These levels are plotted on your chart (if enabled) and can act as potential support and
resistance zones. You can toggle the visibility of these levels.
- Pivot, Resistance (R1), and Support (S1):
The script calculates Pivot, R1 (Resistance), and S1 (Support) levels based on the previous
candle's price action from the selected higher timeframe.
These levels are displayed on your chart and can be used to identify potential breakout or
reversal points.
- Alert Feature:
Alerts are triggered when the price approaches any of these key levels (PCH, PCL, Pivot, R1,
or S1) within a specified threshold (e.g., 0.5%).
This helps traders react quickly to potential price movements near critical levels.
- Visual Representation:
The script visually fills the areas between Pivot and R1 (Resistance-Pivot Zone) and Pivot and
S1 (Support-Pivot Zone) with color for easy identification of key price zones.
Shadow Edge (Example)This script tracks hourly price extremes (highs/lows) and their equilibrium (midpoint), plotting them as dynamic reference lines on your chart. It helps visualize intraday support/resistance levels and potential price boundaries.
Key Features
Previous Hour Levels (Static Lines):
PH (Previous Hour High): Red line.
PL (Previous Hour Low): Green line.
P.EQ (Previous Hour Equilibrium): Blue midpoint between PH and PL.
Current Hour Levels (Dynamic/Dotted Lines):
MuEH (Current Hour High): Yellow dashed line (updates in real-time).
MuEL (Current Hour Low): Orange dashed line (updates in real-time).
Labels: Clear text labels on the right edge of the chart for easy readability.
How It Works
Hourly Tracking:
Detects new hours using the hour(time) function.
Resets high/low values at the start of each hour.
Stores the previous hour’s PH, PL, and P.EQ when a new hour begins.
Dynamic Updates:
Continuously updates MuEH and MuEL during the current hour to reflect the latest extremes.
Customization
Toggle visibility of lines via inputs:
Enable/disable PH, PL, P.EQ, MuEH, MuEL individually.
Adjustable colors and line styles (solid for previous hour, dashed for current hour).
Use Case
Intraday Traders: Identify hourly ranges, breakout/retracement opportunities, or mean-reversion setups.
Visual Reference: Quickly see where price is relative to recent hourly activity.
Technical Notes
Overlay: Plots directly on the price chart.
Efficiency: Uses var variables to preserve values between bars.
Labels: Only appear on the latest bar to avoid clutter.
This tool simplifies intraday price action analysis by combining historical and real-time hourly data into a single visual framework.
HTF Vertical LinesShow selected high time frame divider in your current time frame.
Not a magic, just a helper script myself use, if any suggestion/feature you want to add(but I won't promise I will add), don't hesitate to message me.
Daily Time MarkerThis TradingView indicator draws thin, white, dashed vertical lines on the chart at a user-defined time each day. The indicator takes into account Daylight Saving Time (DST) adjustments, ensuring the correct time is displayed throughout the year.
Key Features:
✅ Daily Vertical Markers:
Displays vertical dashed lines from Monday to Friday at the selected time.
The lines extend infinitely in both directions.
✅ Historical & Future Projection:
Shows lines 15 days into the past and 5 days into the future for better visualization of key time levels.
✅ DST Adjustment:
Automatically adjusts between summer and winter time , ensuring the correct hour is displayed.
This indicator is useful for traders who rely on specific time-based events, such as market opens or key trading sessions.
Revised Combo Script with DivergencesRevised Combo Script with Divergences (v5)
This comprehensive TradingView indicator combines multiple technical analysis tools to provide traders with a robust framework for identifying potential buy and sell signals. The script integrates several popular indicators and patterns, including RSI, Stochastic, EMA, Keltner Channels, and candlestick patterns, to enhance decision-making in trading.
Key Features:
RSI Analysis:
Configurable RSI length and overbought/oversold levels.
Visual bands for overbought and oversold conditions.
Divergence detection to identify potential trend reversals.
Stochastic Oscillator:
Customizable %K and %D periods with smoothing options.
Helps identify overbought and oversold conditions in the market.
Exponential Moving Averages (EMA):
Fast and slow EMAs to determine trend direction.
Configurable lengths and offsets for precise tuning.
Keltner Channels:
Dynamic volatility-based channels using true range or range options.
Helps identify potential breakout and reversal points.
Envelope Indicator:
Configurable length and percentage for upper and lower bands.
Option to use EMA or SMA for the basis calculation.
Candlestick Patterns:
Detection of key patterns such as Engulfing, Hammer, Shooting Star, and Doji.
Visual markers for easy identification on the chart.
Trade Signals:
Generates buy and sell signals based on a combination of indicator conditions.
Background color changes to indicate bullish or bearish signals.
Alerts:
Configurable alerts for buy and sell signals, as well as bullish and bearish divergences.
This script is designed for traders who want a comprehensive tool to analyze market conditions and make informed trading decisions. By combining multiple indicators and patterns, it provides a holistic view of the market, helping traders identify potential entry and exit points with greater confidence.
Note: This script is intended for educational purposes and should be used in conjunction with other analysis methods. Always perform your own research and consider risk management strategies before making trading decisions.
Market Crashes & Recessions (1907-Present)Included Recession Periods:
Panic of 1907 (1907–1908)
Post-WWI Recession (1918–1919)
Great Depression (1929–1933)
1937–1938 Recession
1953, 1957, & 1973 Oil Crises Recessions
Early 1980s Recession (1980–1982)
Early 1990s Recession (1990–1991)
Dot-com Bubble (2000–2002)
Global Financial Crisis (2007–2009)
COVID-19 Recession (2020)
2022 Market Correction
Keltner Channels with Custom Signals
Keltner Channels with Custom Signals
This advanced indicator enhances the classic Keltner Channels by combining them with a suite of customizable trading signals and visual tools, designed to assist traders in identifying potential entry and exit points. Built for TradingView’s Pine Script v6, it overlays three key lines—upper band, basis line (moving average), and lower band—calculated using a user-defined source (default: close), length (default: 20), and multiplier (default: 2.0). Traders can choose between Exponential Moving Average (EMA) or Simple Moving Average (SMA) for the basis line and select from three volatility band styles: Average True Range (ATR), True Range, or Range, with an adjustable ATR length (default: 10).
The script generates distinct signals based on price action:
BUY Signals: Triggered when the close exceeds the upper band on a bullish candle (close > open), marked with a green "BUY" label.
SELL Signals: Triggered when the close falls below the lower band on a bearish candle (close < open), marked with a red "SELL" label.
Annessione (ANN) Signals: Specialized conditions for both BUY and SELL, activated when the current candle’s size exceeds the previous candle’s, with additional midpoint and directional checks. These are plotted with cyan labels and include dynamic stop-loss (SL) lines.
Equal Candle Signals: Highlighted with yellow crosses when the current and previous candles are of equal size, meeting specific conditions post-BUY/SELL signals.
Midline Markers: Green (BUY) and red (SELL) crosses appear on the basis line when initial signals occur.
Customization is a core feature: users can adjust label text, colors, and distances (in pips) for all signals, tailoring the display to their preferences. The stop-loss lines for ANN signals are particularly robust—drawn above highs (BUY) or below lows (SELL) with a configurable pip offset (default: 50), styled as solid, dotted, or dashed in red, and interrupted when price hits the SL or crosses the basis line. Alerts are included for all signal types, ensuring traders never miss a key moment.
Ideal for technical traders, this indicator blends Keltner Channel analysis with actionable, visually intuitive signals, offering flexibility and precision in one powerful package.
52W CP/H & H/L with percentage % differences52 Week High/Low Indicator with percentage difference between High/Low & High/Current Price
A simple indicator that can be used on any timeframe to display the 52 week High/Low values along with percentage differences (rounded) between High/Low & High/Current Price to get an idea of the strength in the instruments current price to it's 52 week journey.
Features
* Works on any timeframe.
* Simple horizontal lines showing only the current 52 week values.
* Allows the user to select whether to calculate the 52-week values from candle close values or the respective highs/lows.
* Allows users to toggle percentages label on/off
This script is open source for users to refine as per their needs. Additionally I would appreciate any constructive feedback. Thank you
VWAP Balance Zones - SessionsVWAP Balance Zones Sessions Version is an alternate take on the Original VWAP Balance Zones indicator. The Sessions version allows users to select a specific session to view the VWAP Balance Zones at while still utilizing the full ETH Data.
The Session version provides a better focused display while still maintaining the core functions of the original script with mindful optimizations.
Author's Note: "VBZ Sessions was made with logistics in mind, for the users who only trade within certain times of the day. While it displays the same core concepts, it is not as "Raw" of a display as the Original. For this reason, some users may prefer the Original VWAP Balance Zones, which is why I have opted to release this alternate version instead of updating the original."
> What are VWAP Balance Zones?
"VWAP Balance Zones" is an original concept aimed at identifying the equilibrium area between market participants within the current trend by averaging the Daily Extremes and the Daily VWAP.
Refer to the illustration below for a better understanding of exactly how VWAP Balance Zones are formed:
These zones are displayed for the Daily, Weekly, and Monthly VWAPs, with the most interactive timeframe being the Daily.
> Features
1. The Session Version uses ETH data at all times, and does not solely rely on the chart's data to create the VWAPs or Zones.
This allows the user to focus on a specific trading session, while not losing out on the full VBZ Calculation, with the notable benefit of a cleaner display.
The Original VBZ starts drawing at the beginning of the chart's "Day", and would produce different results when using an RTH chart vs an ETH chart. Along with creating a bird's nest of unusable data at the beginning of the day.
2. Session Start and End lines are displayed for easier identification of the designated trading session.
3. The extreme "Close" Lines are no longer displayed to reduce noise and redundancy.
4. Additionally, the interior VWAP lines are no longer displayed. Ultimately, this was to reduce noise and focus the script on the 50% zones.
5. Weekly and Monthly Zones are now displayed due to the reduced noise!
6. As with the original, the weekly display will yield to the daily, and the monthly display will yield to the weekly.
In the screenshot below, you can observe this behavior.
Enjoy!
Extreme Areas with MTF Screener by QTX Algo SystemsStatistically Extreme Areas with MTF Screener by QTX Algo Systems
Overview
This indicator is designed to automatically highlight zones where prices become statistically overextended, signaling potential reversal opportunities. Enhanced with a Multi Time Frame (MTF) Screener, it verifies these extremes across several timeframes for a comprehensive, multi-dimensional view of market conditions.
How It Works
Baseline Statistical Analysis:
The indicator establishes a baseline price range using historical data through a statistical percentile approach. This baseline reflects typical price extremes over time.
Volatility and Momentum Filters:
It incorporates a Bollinger Band Width Percentile (BBWP) to measure real-time volatility and combines this with a double‐smoothed SMI and a Price – Moving Average Ratio (PMARP) to assess short-term momentum. This dual-filter system ensures that signals are generated only when both volatility and momentum conditions are satisfied.
Directional Oscillator (BBO) Analysis:
A Bollinger Band Oscillator (BBO) is used to evaluate the slopes of the upper and lower bands, adding an extra layer of confirmation for identifying true market extremes.
MTF Screener Integration:
The added MTF Screener scans multiple timeframes, confirming that the statistically extreme conditions are not isolated events. This cross-verification provides a more robust signal, ensuring that the identified reversal zones are consistent across the market.
Customizable Visual Alerts:
The indicator allows for customizable color coding for various conditions (e.g., extreme low warnings, extreme high warnings, and potential reversals), offering clear, visual guidance for traders.
Why It’s Different and Valuable
This tool is more than just a simple merger of common indicators—it’s a carefully integrated system that validates price extremes across several dimensions. By combining statistical analysis with real-time volatility, momentum verification, and multi-timeframe confirmation, it provides a dynamic framework that helps traders identify high-probability reversal zones while minimizing false signals. The added MTF Screener ensures that these signals are consistent and reliable across different market views, enhancing the overall decision-making process.
How to Use
Monitor Visual Cues: Look for the color-coded signals that indicate statistically extreme price levels.
Confirm Across Timeframes: Use the MTF Screener component to ensure that the extreme conditions appear consistently across various timeframes.
Integrate with Your Strategy: Use this indicator alongside other technical tools to refine entry, exit, and stop-loss decisions.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading analysis. It does not guarantee performance, and past results are not indicative of future outcomes. Always use proper risk management and conduct your own analysis before trading.
Volatility Based Momentum with MTF Screener by QTX Algo SystemsVolatility Based Momentum with MTF Screener by QTX Algo Systems
Overview
This indicator builds on our original Volatility Based Momentum tool by integrating a Multi Time Frame (MTF) Screener that provides real-time, cross-market momentum analysis. It dynamically adjusts momentum signals using adaptive volatility measurements, ensuring that signals reflect true market strength across various timeframes and assets.
How It Works
Core Momentum Analysis:
The indicator uses a double‐smoothed SMI combined with a Price – Moving Average Ratio (PMARP) to assess short-term momentum. These metrics filter out noise and generate per-candle signals based on sustained market energy.
Adaptive Volatility Measurement:
An adaptive volatility factor—derived from a Bollinger Band Width Percentile (BBWP) calculation—scales the momentum readings, ensuring that only strong signals in a sufficiently volatile market are considered.
MTF Screener Integration:
The MTF Screener scans multiple timeframes simultaneously, confirming that a momentum signal is consistent across different market views. This extra layer of screening reduces false signals and helps ensure that the detected momentum is robust and reliable.
Real-Time Visual Feedback:
Dynamic visual cues, such as color changes and signal markers, indicate when the momentum and volatility align, providing a clear, actionable overview.
Why It’s Different and Valuable
This indicator isn’t just a simple overlay of standard momentum and volatility measures—it’s a multi-layered system that verifies signals across multiple timeframes. The integrated MTF Screener provides broader context and cross-validation, making it a more dependable tool for confirming trend strength. This level of depth in analysis offers enhanced clarity and helps traders make more confident decisions compared to using conventional indicators in isolation.
How to Use
Review Per-Candle Signals: Observe the momentum signals generated on your chart and note when they are confirmed by the adaptive volatility measure.
Cross-Check with MTF Screener: Ensure that signals appear consistently across multiple timeframes before taking action.
Adjust Settings for Your Style: Customize the volatility threshold, and MTF settings to match your specific trading approach.
Integrate with Your Strategy: Use the insights from this indicator alongside other analysis tools to optimize your entry and exit points.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading strategy. It does not guarantee performance, and past results are not indicative of future outcomes. Always apply proper risk management and conduct your own analysis before trading.
Continuation Opportunity with MTF Screener by QTX Algo SystemsContinuation Opportunity Indicator with MTF Screener by QTX Algo Systems
Overview
This enhanced indicator is designed to pinpoint key moments when an established trend is likely to continue. By combining traditional momentum analysis with dual volatility measures—and now integrating a powerful Multi Time Frame (MTF) Screener—it offers a multi-dimensional view of trend behavior. This tool not only detects when a pullback is simply a temporary consolidation (characterized by reduced volatility) but also confirms that the overall trend is poised to resume, validated across several timeframes.
How It Works
Core Methodology:
The base indicator uses a double‐smoothed Stochastic Momentum Index (SMI) combined with a Price – Moving Average Ratio (PMARP) to detect momentum crossovers that signal trend continuation. It also uses volatility filters to ensure that the signals occur only when market activity is strong.
Dual Volatility Analysis:
A Bollinger Band Width Percentile (BBWP) measure and historical volatility metrics work together to ensure that only meaningful pullbacks trigger signals—distinguishing between noise and genuine consolidation.
MTF Screener Integration:
The new MTF Screener feature extends the analysis beyond a single timeframe. It scans multiple assets and timeframes concurrently, confirming that a detected pullback or resumption signal appears consistently across the broader market view. This cross-verification minimizes false signals and provides traders with confidence that the trend continuation is robust.
Enhanced Visual Cues:
Color-coded backgrounds and well-defined signal triggers help traders quickly interpret when a pullback is likely just a consolidation phase and when increased volatility signals the trend’s resumption.
Why It’s Different and Valuable
Unlike a simple combination of separate indicators, this tool integrates each element in a systematic, layered approach. The MTF Screener adds an extra dimension by validating signals across different timeframes—ensuring that traders are not basing decisions on isolated, potentially misleading data. This cohesive design enhances overall accuracy and provides actionable insights that are more robust than what individual indicators would offer on their own.
How to Use
Monitor Visual Signals: Look for color-coded cues and momentum crossovers that appear after a pullback.
Validate Across Timeframes: Use the MTF Screener’s output to confirm that the continuation signal is consistent across various timeframes.
Integrate with Other Tools: Combine these signals with your existing technical analysis methods to refine your entry and exit points.
Disclaimer
This indicator is provided for educational purposes only and is intended to support your trading analysis. It does not guarantee performance, and past results are not indicative of future outcomes. Always use proper risk management and perform your own analysis before trading.
TrendPredator PROThe TrendPredator PRO
Stacey Burke, a seasoned trader and mentor, developed his trading system over the years, drawing insights from influential figures such as George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His popular system integrates select concepts from these experts into a consistent framework. While powerful, it remains highly discretionary, requiring significant real-time analysis, which can be challenging for novice traders.
The TrendPredator indicators support this approach by automating the essential analysis required to trade the system effectively and incorporating mechanical bias and a multi-timeframe concept. They provide value to traders by significantly reducing the time needed for session preparation, offering all relevant chart analysis and signals for live trading in real-time.
The PRO version offers an advanced pattern identification logic that highlights developing context as well as setups related to the constellation of the signals provided. It provides real-time interpretation of the multi-timeframe analysis table, following an extensive underlying logic with more than 150 different setup variations specifically developed for the system and indicator. These setups are constantly back- and forward-tested and updated according to the results. This version is tailored to traders primarily trading this system and following the related setups in detail.
The former TrendPredator ES version does not provide that option. It is significantly leaner and is designed for traders who want to use the multi-timeframe logic as additional confluence for their trading style. It is very well suited to support many other trading styles, including SMC and ICT.
The Multi-timeframe Master Pattern
Inspired by Taylor’s 3-day cycle and Steve Mauro’s work with “Beat the Market Maker,” Burke’s system views markets as cyclical, driven by the manipulative patterns of market makers. These patterns often trap traders at the extremes of moves above or below significant levels with peak formations, then reverse to utilize their liquidity, initiating the next phase. Breakouts away from these traps often lead to range expansions, as described by Tony Crabel and Robert Schabacker. After multiple consecutive breakouts, especially after the psychological number three, overextension might develop. A break in structure may then lead to reversals or pullbacks. The TrendPredator Indicator and the related multi-timeframe trading system are designed to track these cycles on the daily timeframe and provide signals and trade setups to navigate them.
Bias Logic and Multi-Timeframe Concept
The indicator covers the basic signals of Stacey Burke's system:
- First Red Day (FRD): Bearish break in structure, signalling weak longs in the market.
- First Green Day (FGD): Bullish break in structure signalling weak shorts in the markt.
- Three Days of Longs (3DL): Overextension signalling potential weak longs in the market.
- Three Days of Shorts (3DS): Overextension signalling potential weak shorts in the market.
- Inside Day (ID): Contraction, signalling potential impulsive reversal or range expansion move.
It enhances the original system by introducing:
Structured Bias Logic:
Tracks bias by following how price trades concerning the last previous candle high or low that was hit. For example if the high was hit, we are bullish above and bearish below.
- Bullish state: Breakout (BO), Fakeout Low (FOL)
- Bearish state: Breakdown (BD), Fakeout High (FOH)
Multi-Timeframe Perspective:
- Tracks all signals across H4, H8, D, W, and M timeframes, to look for alignment and follow trends and momentum in a mechanical way.
Developing Context:
- Identifies specific predefined context states based on the monthly, weekly and daily bias.
Developing Setups:
- Identifies specific predefined setups based on context and H8 bias as well as SB signals.
The indicator monitors the bias and signals of the system across all relevant timeframes and automates the related graphical chart analysis as well as context and setup zone identification. In addition to the master pattern, the system helps to identify the higher timeframe situation and follow the moves driven by other timeframe traders to then identify favourable context and setup situations for the trader.
Example: Full Bullish Cycle on the Daily Timeframe with Multi-Timeframe Signals
- The Trap/Peak Formation
The market breaks down from a previous day’s and maybe week’s low—potentially after multiple breakdowns—but fails to move lower and pulls back up to form a peak formation low and closes as a first green day.
MTF Signals: Bullish daily and weekly fakeout low; three consecutive breakdown days (1W Curr FOL, 1D Curr FOL, BO 3S).
Context: Reversal (REV)
Setup: Fakeout low continuation low of day (FOL Cont LOD)
- Pullback and Consolidation
The next day pulls further up after first green day signal, potentially consolidates inside the previous day’s range.
MTF Signals: Fakeout low and first green day closing as an inside day (1D Curr IS, Prev FOL, First G).
Context: Reversal continuation (REV Cont)
Setup: Previous fakeout low continuation low handing fruit (Prev FOL Cont LHF)
- Range Expansion/Trend
The following day breaks up through the previous day’s high, launching a range expansion away from the trap.
MTF Signals: Bullish daily breakout of an inside day (1D Curr BO, Prev IS).
Context: Uptrend healthy (UT)
Setup: Breakout continuation low hanging fruit (BO Cont LHF)
- Overextension
After multiple consecutive breakouts, the market reaches a state of overextension, signalling a possible reversal or pullback.
MTF Signals: Three days of breakout longs (1D Curr BO, Prev BO, BO 3L).
Context: Uptrend extended (UT)
- Reversal
After a breakout of previous days high that fails, price pulls away from the high showing a rollover of momentum across all timeframes and a potential short setup.
MTF Signals: Three days of breakout longs, daily fakeout high (1D 3L, FOH)
Context: Reversal countertrend (REV)
Setup: Fakeout high continuation high of day (FOH Cont HOD)
Note: This is only one possible illustrative scenario; there are many variations and combinations.
Example Chart: Full Bullish Cycle with Correlated Signals
Multi-Timeframe Signals examples:
Context and Setups examples:
Note: The signals shown along the move are manually added illustrations. The indicator shows these in realtime in the table at top and bottom right. This is only one possible scenario; there are many variations and combinations.
Due to the fractal nature of markets, this cycle can be observed across all timeframes. The strongest setups occur when there is multi-timeframe alignment. For example, a peak formation and potential reversal on the daily timeframe have higher probability and follow-through when they align with bearish signals on higher timeframes (e.g., weekly/monthly BD/FOH) and confirmation on lower timeframes (H4/H8 FOH/BD). With this perspective, the system enables the trader to follow the trend and momentum while identifying rollover points in a highly differentiated and precise way.
Using the Indicator for Trading
The automated analysis provided by the indicator can be used for thesis generation in preparation for a session as well as for live trading, leveraging the real-time updates as well as the context and setup indicated or alerted. It is recommended to customize the settings deeply, such as hiding the lower timeframes for thesis generation or the specific alert time window and settings to the specific trading schedule and playbook of the trader.
1. Context Assessment:
Evaluate alignment of higher timeframes (e.g., Month/Week, Week/Day). More alignment → Stronger setups.
- The context table offers an interpretation of the higher timeframe automatically. See below for further details.
2. Setup Identification:
Follow the bias of daily and H8 timeframes. A setup mostly requires alignment of these.
Setup Types:
- Trend Trade: Trade in alignment with the previous day’s trend.
Example: Price above the previous day’s high → Focus on long setups (dBO, H8 FOL) until overextension or reversal signs appear (H8 BO 3L, First R).
- Reversal Trade: Identify reversal setups when lower timeframes show rollovers after higher timeframe weakness.
Example: Price below the previous day’s high → Look for reversal signals at the current high of day (H8 FOH, BO 3L, First R).
- The setup table shows potential setups for the specific price zone in the table automatically. See below for further details.
3. Entry Confirmation:
Confirm entries based on H8 and H4 alignment, candle closes and lower timeframe fakeouts.
- H8 and H4 should always align for a final confirmation, meaning the breach lines should be both in the back of a potential trade setup.
- M15/ 5 candle close can be seen as acceptance beyond a level or within the setup zone.
- M15/5 FOH/ FOL signals lower timeframe traps potentially indicating further confirmation.
Example Chart Reversal Trade:
Context: REV (yellow), Reversal counter trend, Month in FOL with bearish First R, Week in BO but bearishly overextended with BO 3L, Day in Fakeout high reversing bearishly.
Setup: FOH Cont HOD (red), Day in Fakeout high after BO 3L overextension, confirmed by H8 FOH high of day, First R as further confluence. Two star quality and countertrend.
Entry: H4 BD, M15 close below followed by M15 FOH.
Detailed Features and Options
1. Context and Setup table
The Context and Setup Table is the core feature of the TrendPredator PRO indicator. It delivers real-time interpretation of the multi-timeframe analysis based on an extensive underlying logic table with over 150 variations, specifically developed for this system and indicator. This logic is continuously updated and optimized to ensure accuracy and performance.
1.1. Developing Context
States for developing higher timeframe context are determined based on signals from the monthly, weekly, and daily timeframes.
- Green and Red indicate alignment and potentially interesting developing setups.
- Yellow signals a mixed or conflicting bias, suggesting caution when taking trades.
The specific states are:
- UT (yellow): Uptrend extended
- UT (green): Uptrend healthy
- REV (yellow): Reversal day counter trend
- REV (green): Reversal day mixed trend
- REV Cont (green): Reversal continuation mixed trend
- REV Cont (yellow): Reversal continuation counter trend
- REV into UT (green): Reversal day into uptrend
- REV Cont into UT (green): Reversal continuation into uptrend
- UT Pullback (yellow): Counter uptrend breakdown day
- Conflicting (yellow): Conflicting signals
- Consolidating (yellow): Consolidating sideways
- Inside (yellow): Trading inside after an inside week
- DT Pullback (yellow): Counter downtrend breakout day
- REV Cont into DT (red): Reversal continuation into downtrend
- REV into DT (red): Reversal day into downtrend
- REV Cont (yellow): Reversal continuation counter trend
- REV Cont (red): Reversal continuation mixed trend
- REV (red): Reversal day mixed trend
- REV (yellow): Reversal day countertrend
- DT (red): Downtrend healthy
- DT (yellow): Downtrend extended
Example: Uptrend
The Uptrend Context (UT, green) indicates a healthy uptrend with all timeframes aligning bullishly. In this case, the monthly is in a Fakeout Low (FOL) and currently inside the range, while the weekly and daily are both in Breakout (BO) states. This context is favorable for developing long setups in the direction of the trend.
Example: Uptrend pullback
The Uptrend Pullback Context (UT Pullback, yellow) indicates a Breakdown (BD) on the daily timeframe against a higher timeframe uptrend. In this case, the monthly is in a Fakeout Low (FOL) and currently inside its range, the weekly is in Breakout (BO) and also currently inside, while the daily is in Breakdown (BD). This context reflects a conflicting situation—potentially signaling either an early reversal back into the uptrend or, if the breakdown extends, the beginning of a possible trend change.
Example: Reversal into Uptrend
The Reversal into Uptrend Context (REV into UT, green) indicates a lower timeframe reversal aligning with a higher timeframe uptrend. In this case, the monthly is in Breakout (BO), the weekly is in Breakout (BO) and currently inside its range, while the daily is showing a bullish Fakeout Low (FOL) reversal. This context is potentially very favorable for long setups, as it signals a strong continuation of the uptrend supported across multiple timeframes.
Example: Reversal
The Bearish Reversal Context indicates a lower timeframe rollover within an ongoing higher timeframe uptrend. In this case, the monthly remains in Breakout (BO), the weekly has shifted into a Fakeout High (FOH) after three weeks of breakout longs, and the daily is already in Breakdown (BD). This context suggests a potentially favorable developing short setup, as early signs of weakness appear across timeframes.
1.2. Developing Setup
The states for specific setups are based on the context and the signals from the daily timeframe and H8, indicating that price is in the zone of alignment. The setup description refers to the state of the daily timeframe, while the suffix relates to the H8 timeframe. For example, "prev FOH Cont LHF" means that the previous day is in FOH (Fakeout High) relative to yesterday's breakout level, currently trading inside, and we are in an H8 breakdown, indicating a potential LHF (Lower High Formation) short trade if the entry confirms. The suffix HOD means that H8 is in FOH or BO (Breakout).
The specific states are:
- REV HOD (red): Reversal high of day
- REV Cont LHF (red): Reversal continuation low hanging fruit
- BO Cont LHF (green): Breakout continuation low hanging fruit
- BO Cont LOD (green): Breakout continuation low of day
- FOH Cont HOD (red): Fakeout high continuation high of day
- FOH Cont LHF ((red): Fakeout high continuation low hanging fruit
- prev BD Cont HOD (red): Previous breakdown continuation high of day
- prev BD Cont LHF (red): Previous breakdown continuation low hanging fruit
- prev FOH Cont HOD (red): Previous fakeout high continuation high of day
- prev FOH Cont LHF (red): Previous fakeout high continuation low hanging fruit
- prev FOL Cont LOD (green): Previous fakeout low continuation low of day
- prev FOL Cont LHF (green): Previous fakeout low continuation low hanging fruit
- prev BO Cont LOD (green): Previous breakout continuation low of day
- prev BO Cont LHF (green): Previous breakout continuation low hanging fruit
- FOL Cont LHF (green): Fakeout low continuation low hanging fruit
- FOL Cont LOD (green): Fakeout low continuation low of day
- BD Cont LHF (red): BD continuation low hanging fruit
- BD Cont LOD (red): Breakdown continuation low of day
- REV Cont LHF (green): Reversal continuation low hanging fruit
- REV LOD (green): Reversal low of day
- Inside: Trading inside after an inside day
Type: Indicates the situation of the indicated setup concerning:
- Trend: Following higher timeframe trend
- Mixed: Mixed higher timeframe signals
- Counter: Against higher timeframe bias
Quality: Indicates the quality of the indicated setup according to the specified logic table
No star: Very low quality
* One star: Low quality
** Two star: Medium quality
*** Three star: High quality
Example: Breakout Continuation Trend Setup
This setup highlights a healthy uptrend where the month is in a breakout, the week is in a fakeout low, and the day is in a breakout after a first green day. As the H8 breaks out to the upside, a long setup zone is triggered, presenting a breakout continuation low-hanging fruit trade. This is a trend trade in an overextended situation on the H8, with an H8 3L, resulting in an overall quality rating of one star.
Example: Fakeout Low Continuation Trend Setup
This setup shows a reversal into uptrend, with the month in a breakout, the week in a breakout, and the day in a fakeout low after breaking down the previous day and now reversing back up. As H8 breaks out to the upside, a long setup zone is triggered, presenting a previous fakeout low continuation, low-hanging fruit trade. This is a medium-quality trend trade.
Example: Reversal Setup - Mixed Trend
This setup shows a reversal setup in line with the weekly trend, with the month in a fakeout low, the week in a fakeout high, and the day in a fakeout high after breaking out earlier in the day and now reversing back down. As H8 loses the previous breakout level after 3 breakouts (with H8 3L), a short setup zone is triggered, presenting a fakeout high continuation at the high of the day. This is a high-quality trade in a mixed trend situation.
Setup Alerts:
Alerts can be activated for setups freshly triggered on the chart within your trading window.
Detailed filter logic for setup alerts:
- Setup quality: 1-3 star
- Setup type: Counter, Mixed and Trend
- Setup category: e.g. Reversal Bearish, Breakout, Previous Fakeout High
- 1D BO and First signals: 3DS, 3DL, FRD, FGD, ID
Options:
- Alerts on/ off
- Alert time window (from/ to)
- Alert filter customization
Note: To activate alerts from a script in TradingView, some settings need to be adjusted. Open the "Create Alert" dialog and select the option "Any alert() function call" in the "Condition" section. Choose "TrendPredator PRO" to ensure that alerts trigger properly from the code. Alerts can be activated for entire watchlists or individual pairs. Once activated, the alerts run in the background and notify the user whenever a setup is freshly triggered according to the filter settings.
2. Multi-Timeframe Table
Provides a real-time view of system signals, including:
Current Timeframe (Curr): Bias states.
- Breakout (green BO): Bullish after breaking above the previous high.
- Fakeout High (red FOH): Bearish after breaking above the previous high but pulling back down.
- Breakdown (red BD): Bearish after breaking below the previous low.
- Fakeout Low (green FOL): Bullish after breaking below the previous low but pulling back up.
- Inside (IS): Price trading neutral inside the previous range, taking the previous bias (color indicates the previous bias).
Previous Timeframe (Prev): Tracks last candle bias state and transitions dynamically.
- Bias for last candle: BO, FOH, BD, FOL in respective colors.
- Inside bar (yellow IS): Indicated as standalone signal.
Note: Also previous timeframes get constantly updated in real time to track the bias state in relation to the level that was hit. This means a BO can still lose the level and become a FOH, and vice versa, and a BD can still become a FOL, and vice versa. This is critical to see for example if traders that are trapped in that timeframe with a FOH or FOL are released. An inside bar stays fixed, though, since no level was hit in that timeframe.
Breakouts (BO): Breakout count 3 longs and 3 shorts.
- 3 Longs (red 3L): Bearish after three breakouts without hitting a previous low.
- 3 Shorts (green 3S): Bullish after three breakdowns without hitting a previous high.
First Countertrend Close (First): Tracks First Red or Green Day.
- First Green (G): After two consecutive red closes.
- First Red (R): After two consecutive green closes.
Options: Customizable font size and label colors.
3. Historic Highs and Lows
Displays historic highs and lows per timeframe for added context, enabling users to track sequences over time.
Timeframes: H4, H8, D, W, M
Options: Customize for timeframes shown, number of historic candles per timeframe, colors, formats, and labels.
4. Previous High and Low Extensions
Displays extended previous levels (high, low, and close) for each timeframe to assess how price trades relative to these levels.
H4: P4H, P4L, P4C
H8: P8H, P8L, P8C
Daily: PDH, PDL, PDC
Weekly: PWH, PWL, PWC
Monthly: PMH, PML, PMC
Options: Fully customizable for timeframes shown, colors, formats, and labels.
5. Breach Lines
Tracks live market reactions (e.g., breakouts or fakeouts) per timeframe for the last previous high or low that was hit, highlighting these levels originating at the breached candle to indicate bias (color-coded).
Red: Bearish below
Green: Bullish above
H4: 4FOL, 4FOH, 4BO, 4BD
H8: 8FOL, 8FOH, 8BO, 8BD
D: dFOL, dFOH, dBO, dBD
W: wFOL, wFOH, wBO, wBD
M: mFOL, mFOH, mBO, mBD
Options: Fully customizable for timeframes shown, colors, formats, and labels.
Overall Options:
Toggle single feature groups on/off.
Customize H8 open/close time as an offset to UTC to be provider independent.
Colour settings con be adjusted for dark or bright backgrounds.
Higher Timeframe Use Case Examples
Example Use Case: Weekly Template Analysis
The Weekly Template is a core concept in Stacey Burke’s trading style. The analysis is conducted on the daily timeframe, focusing on the higher timeframe bias and identifying overextended conditions within the week—such as multiple breakouts and peak formations signaling potential reversals.
In this example, the candles are colored by the TrendPredator FO indicator, which highlights the state of individual candles. This allows for precise evaluation of both the trend state and the developing weekly template. It is a valuable tool for thesis generation before a trading session and for backtesting purposes.
Example Use Case: High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or breakdown closes occur near key monthly levels mid-week, signaling overextensions and potentially large parabolic moves. The key signal to look for is a breakout or breakdown close on a Wednesday. This is useful for thesis generation before a session and also for backtesting.
In this example, the TrendPredator FO indicator colors the candles to highlight individual candle states, particularly those that close in breakout or breakdown. Additionally, an indicator is shown on the chart shading every Wednesday, making it easier to visually identify the signals.
5 Star Alerts:
Alerts can be activated for this potential 5-Star setup constellation. The alert is triggered when there is a breakout or breakdown close on a Wednesday.
Further recommendations:
- Higher timeframe context: TPO or volume profile indicators can be used to gain an even better overview.
- Late session trading: Entries later in the session, such as during the 3rd hour of the NY session, offer better analysis and follow-through on setups.
- Entry confirmation: Momentum indicators like VWAP, Supertrend, or EMA are helpful for increasing precision. Additionally, tracking lower timeframe fakeouts can provide powerful confluence. To track those the TrendPredator Fakeout Highlighter (FO), that has been specifically developed for this can be of great help:
Limitations:
Data availability using TradingView has its limitations. The indicator leverages only the real-time data available for the specific timeframe being used. This means it cannot access data from timeframes lower than the one displayed on the chart. For example, if you are on a daily chart, it cannot use H8 data. Additionally, on very low timeframes, the historical availability of data might be limited, making higher timeframe signals unreliable.
To address this, the indicator automatically hides the affected columns in these specific situations, preventing false signals.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
The indicator does not provide final buy or sell signals but highlights zones for potential setups.
Users are fully responsible for their trading decisions and outcomes.