Daily Seasonality Strength + Prediction TableDaily Seasonality Strength + Prediction Table
Return Estimates:
This indicator uses historical price data to calculate average returns for each day (of the week or month) and uses these to predict the next day’s return.
Seasonality Strength:
It measures seasonality strength by comparing predicted returns with actual returns, using the inverse of MSE (higher values mean stronger seasonality).
supports up to 10 assets
This script is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. I am not a financial advisor. Any decisions you make based on this indicator are your own responsibility. Always do your own research and consult with a qualified financial professional before making any investment decisions.
Past performance is no guarantee of future results. The value of the instruments may fluctuate and is not guaranteed
Analisi trend
Z Distance from VWAP Enhanced (ZVWAP)The "Z Distance from VWAP Enhanced" (ZVWAP) indicator is a comprehensive oscillator that provides deep insights into market dynamics. It calculates a Z-score, which tells you how many standard deviations the current price is away from the VWAP. This normalization makes it a consistent and reliable tool for identifying market extremes.
The indicator comes packed with features, including:
Customizable Overbought & Oversold Zones
Built-in Bullish & Bearish Divergence Detection
Automatic Trendline Plotting
A Moving Exponential Average (MEA) for crossover signals
Fully customizable alerts for every key event.
How to Use It - The BTC Dominance Strategy for Altcoins
As shown in the screenshot, this indicator is an exceptional tool for trading altcoins by analyzing the BTC Dominance (BTC.D) chart. The relationship is typically inverse:
When ZVWAP on BTC.D is RISING (or Overbought) ➔ It's BEARISH for Altcoins.
This means Bitcoin is gaining dominance, and capital is flowing out of altcoins and into Bitcoin. This is a time to be cautious with or short altcoins.
When ZVWAP on BTC.D is FALLING (or Oversold) ➔ It's BULLISH for Altcoins.
This means Bitcoin is losing dominance, and capital is flowing into altcoins, often starting an "altcoin season." This is a great time to look for long entries on your favorite altcoins.
Key Signals on the BTC.D Chart:
Zone Entries: When ZVWAP enters the red (Overbought) zone, prepare for altcoins to weaken. When it enters the blue (Oversold) zone, look for altcoin strength.
MEA Crossover: A crossover of the yellow ZVWAP line below the cyan MEA line is a strong confirmation that dominance is falling and the trend is becoming bullish for altcoins.
Divergences: A bearish divergence on the BTC.D chart can be an early warning that dominance is about to fall, signaling a potential bullish move for altcoins.
Key Features Explained
Overbought / Oversold Zones: The red and blue shaded areas clearly define when an asset is statistically over-extended. These are prime areas to look for mean reversion or trend exhaustion.
Divergence Detection: The script automatically detects and plots divergences between price and the ZVWAP.
• Bullish Divergence: Price makes a lower low, but ZVWAP makes a higher low. (Potential buy signal).
• Bearish Divergence: Price makes a higher high, but ZVWAP makes a lower high. (Potential sell signal).
The Reference Lines (+1 / -1): These gray lines represent one standard deviation from the VWAP. They act as an early warning system. When the ZVWAP crosses these lines, it shows that momentum is building, and the price is starting to deviate significantly from its average.
Automatic Trendlines: The indicator can automatically draw and manage trendlines based on recent pivots in the ZVWAP, helping you visualize the current momentum and potential breakout points. This feature can be turned off if you prefer a cleaner chart.
Customization and Alerts
The indicator is fully customizable. You can adjust the lengths, zone levels, and visual settings to fit your trading style. Most importantly, it includes a comprehensive set of alerts:
Enter Overbought Zone
Enter Oversold Zone
Bullish Divergence Detected
Bearish Divergence Detected
Enter Any Zone (OB/OS) - a single alert for either condition.
Any Divergence (Bull/Bear) - a single alert for any divergence.
This allows you to stay informed of every important signal without having to watch the charts all day.
i.imgur.com
AMA-ST Sup/Res V 2.0AMA-ST Sup/Res v2.0 (AI + SuperTrend + Breakout System)
AMA-ST Sup/Res v2.0 is a powerful all-in-one indicator that blends together:
✅ Adaptive Moving Average (AMA) for dynamic trend smoothing
✅ SuperTrend (with VWMA/MAs/ATR options) for robust trend detection
✅ AI-Inspired KNN Filtering to reduce noise & false signals
✅ Breakout Arrow Signals (Buyer/Seller strength) with RSI & time-session filters
✅ Multi-Timeframe Trend Table to confirm higher timeframe alignment
This makes it a complete toolkit for detecting trend shifts, clean entries, and confluence zones.
🔎 Key Features
🔹 AI-Enhanced SuperTrend
Uses K-Nearest Neighbors (KNN) logic to classify current trend direction.
Weighted moving averages (price + SuperTrend) feed the algorithm.
Helps smooth out false flips and confirms bullish vs. bearish bias.
🔹 Adaptive Moving Average (AMA)
Adjusts sensitivity based on volatility.
Turns green when adaptive trend is rising and red when falling.
Useful for trailing, re-entry, and staying in strong moves.
🔹 Breakout Arrows (Buyer/Seller Strength)
Up arrow = Bullish Breakout (price > previous high + RSI confirmation).
Down arrow = Bearish Breakout (price < previous low + RSI confirmation).
Optional RSI filter to avoid weak signals.
Time filter lets you restrict signals to specific trading sessions.
🔹 Multi-Timeframe Trend Table
Shows trend status (Bull / Bear / Neutral) across 5 higher timeframes.
Displays sync status ✓/✗ with current timeframe for confluence.
Helps avoid taking trades against the higher-timeframe trend.
🔹 Visual Tools
Cloud edges to highlight breakout structures.
Colored SuperTrend line & fills for quick trend visualization.
Adaptive arrows for easy entry spotting.
⚙️ How to Use
1️⃣ Setup
Apply AMA-ST Sup/Res v2.0 to your chart.
Adjust SuperTrend length & ATR factor for desired sensitivity.
Set RSI levels (default 50/50) if you want to filter weak signals.
Enable/disable AI Trend Signals depending on your style.
2️⃣ Entry Rules
BUY when:
A blue up arrow prints,
SuperTrend flips green,
RSI is above the set buy threshold,
Multi-timeframe table shows at least 2 higher TFs in BULL sync.
SELL when:
A pink down arrow prints,
SuperTrend flips red,
RSI is below the set sell threshold,
Multi-timeframe table shows higher TFs in BEAR sync.
3️⃣ Exits & Risk Management
Use AMA line (green/red) as a dynamic trailing stop.
Alternatively, use SuperTrend flips as exit signals.
Avoid trading when the MTF table shows mixed/neutral trends.
💡 Tips for Best Results
Combine with price action (support/resistance zones).
Use on 15m+ timeframes for reliability, but scalpers can use 1m/5m with stricter filters.
For swing trading, watch confluence between 1H / 4H / Daily trends.
If signals feel too frequent, increase SuperTrend ATR length/factor.
If you want earlier signals, lower AMA length and reduce ATR factor.
⚠️ Disclaimer
This tool is for educational purposes only. It does not guarantee profits. Always combine with your own analysis and apply proper risk management before trading live.
PM ORB Breakout by TRI📈 PM ORB Breakout by TRI
This Indicator is built for traders who want to capitalize on early momentum. It automatically maps the Opening Range Breakout (ORB)
✅ Dynamic Levels – ORB High and Low plot live during pre-market
✅ Flexible Alerts – Get notified the moment a candle closes above or below the PM ORB, with the ability to start alerts up to 10 minutes before the opening bell.
✅ Works on Any Timeframe – Alerts and visuals are consistent whether you’re on the 1-minute chart or daily.
✅ Clean Visuals – Simple high/low lines with clear bullish (green) and bearish (red) break signals.
Recommendation: Set alerts on your favorite tickers and use the 2-minute timeframe to confirm a strong candle close above or below the ORB.
This tool is designed to help you quickly identify momentum breakouts from the pre-market range, so you never miss the setups professional traders monitor.
⚠️ Disclaimer: This indicator is for educational purposes only. It does not guarantee profits or a 100% win rate, and I am not a financial advisor. Always do your own research and trade responsibly.
Possible Deviations | Session Fibs📌 Session Fibs with Confluence Detection
This script automatically plots custom Fibonacci extensions from key market sessions and candles, giving you a structured view of intraday levels that matter:
Asia Session (20:00–00:00 NY time)
→ Marks the session high/low, draws fib projections, and shades the range.
London 4:00 AM (1H) Candle
→ Captures the 1-hour “last leg” move into London and projects fib levels.
New York Open Key Candles
→ 8:30 AM and 9:30 AM (5-minute) candles with fib projections.
⚡ Features
Custom fib set (0, 0.5, ±0.618, ±2.0, ±2.25, ±2.5, ±3.0, ±3.25, ±3.5, ±4.0, ±4.25, ±4.5, 4.618).
Adjustable line extension mode (none, right N bars, infinite right).
Toggleable labels & text color, with placement options (on line / left of line).
Asia session box highlight for visual clarity.
Confluence detection: automatically checks for overlapping fib levels between
Asia ↔ London (same day)
Today ↔ Previous day (optional)
→ Highlights overlaps with dashed lines + labels (e.g., LON -3.25 ≈ ASIA -2.25).
🎯 Use Case
Designed for traders who track session ranges and liquidity sweeps, this tool makes it easy to spot:
Intraday fib alignment between Asia and London.
Key NYO candles in relation to overnight ranges.
High-probability confluence zones for entries/exits.
Above/Below Snapshot TableThis script is conjunction with the Above/Below Status script and provides the Above/Below status for the current ticker plus 5 additional tickers.
This script evaluates current price in relation to 4 user-defined, time-based price points to give a indication as to whether price is above all 4 price levels or below all 4 price levels.
The idea behind this indicator is that when current price is stretched beyond all 4 price levels, it will have a tendency to revert back within the range or reverse completely.
This idea will not work well in times when the market is strongly trending in one direction.
Ultimate Webby RSI 2.0 for MNQ 3m
🔎 Introduction
This is a flexible version of Amphibiantrading’s Webby RSI concept, optimized for MNQ 3-minute trading.
It normalizes the distance of price from moving averages (EMA/SMA) using ATR, producing stretch histograms that highlight overextended moves.
I extended it with:
✅ Swing and Scalper presets (instantly switch via dropdown)
✅ Custom mode (type in your own parameters)
✅ Optional HTF (Higher Timeframe) bias filter — e.g., only show longs when 15m trend is up
✅ Alerts for bull/bear stretches and SMA extension
⚙️ Core Logic
Green histogram = low above EMA (normalized by ATR) → bullish stretch
Red histogram = EMA above high → bearish stretch
Orange line = high above SMA → extension (useful for exhaustion / fade plays)
Stretch Level line = threshold (default depends on Swing vs Scalper preset)
📊 Presets
Choose in the Mode dropdown:
Swing (MNQ 3m)
ATR Length = 100
EMA Length = 34
SMA Length = 14
Stretched Level = 3.8
👉 Fewer, cleaner signals (approx 3–6/day).
Scalper (MNQ 3m)
ATR Length = 34
EMA Length = 13
SMA Length = 8
Stretched Level = 2.4
👉 More signals (approx 15–25/day).
Custom
Enter your own ATR/EMA/SMA/Level values.
🧭 HTF Bias Filter (optional)
Enable the toggle to align entries with a higher-timeframe trend.
Example: HTF timeframe = 15m, EMA(34)
If close > EMA → bull bias (only green/orange plots show)
If close < EMA → bear bias (only red plots show)
Optional background tint shows bias (green = bull, red = bear).
This reduces false signals and keeps you trading with the bigger move.
🚀 How to Use
Add the indicator → In settings, choose Mode (Swing/Scalper/Custom).
Leave Computation timeframe = 3 and Override symbol = MNQ1! for MNQ micro futures.
Watch for histogram/extension values crossing your Stretched Level.
Bull stretch above threshold = price stretched to upside.
Bear stretch above threshold = price stretched to downside.
SMA extension = price extended above SMA, often exhaustion.
(Optional) Turn on HTF Bias to only take trades in the main trend direction.
🔔 Alerts Included
Bull Stretch > Level (positive histogram crosses above level)
Bear Stretch > Level (negative histogram crosses above level)
SMA Extension > Level (SMA line crosses above level)
All alerts automatically respect the HTF bias filter if enabled.
⚠️ Notes & Best Practices
Stretched Level is not RSI OB/OS — it’s distance normalized by ATR. Combine with market structure (VWAP, supply/demand, session levels).
If using higher-TF calculations (via HTF bias), remember values finalize at the close of that TF bar.
Swing preset is better for holding through moves; Scalper preset is better for fast in/out trading.
Always combine with risk management — normalized stretch can still extend further in strong trends.
✅ Credits
Original Webby RSI by Amphibiantrading.
Extended by for flexible MNQ swing/scalp use with HTF filters.
⚖️ Disclaimer
This script is provided for educational purposes only. It does not constitute financial advice or an offer to buy or sell any financial instrument.
Trading futures, stocks, forex, and cryptocurrencies involves substantial risk and may not be suitable for every investor.
Past performance is not indicative of future results.
Always do your own research and consult with a licensed financial advisor before making any trading decisions.
Use at your own risk.
Above all/Below all BiasThis script evaluates current price in relation to 4 user-defined, time-based price points to give a indication as to whether price is above all 4 price levels or below all 4 price levels.
The idea behind this indicator is that when current price is stretched beyond all 4 price levels, it will have a tendency to revert back within the range or reverse completely.
This idea will not work well in times when the market is strongly trending in one direction.
Ultimate Webby RSI Pro [MNQ 3min]Ultimate Webby RSI Pro – User Guide
I made it to use it on NQ micro futures on a 3-minute time frame.
What it does
Plots the RSI as a colored histogram (green above 50, red below 50, gray near 50).
Adds adaptive ATR-scaled bands around RSI to measure volatility-adjusted momentum.
Optional multi-timeframe RSI filter (choose a higher resolution to confirm signals).
Optional volume filter (signals only when volume is above average).
Detects potential bullish and bearish divergences.
Generates buy/sell alerts when RSI crosses 30/70 with wave/volume confirmation.
How to use it
Apply to a chart (default: MNQ 3m).
Look for Buy signals (green triangles) when RSI crosses upward through 30 with trend/volume confirmation.
Look for Sell signals (red triangles) when RSI crosses downward through 70 with trend/volume confirmation.
Use the colored histogram for quick momentum reading:
Green = bullish pressure
Red = bearish pressure
Gray = neutral/transition
Watch ATR bands: when RSI approaches/exceeds them, momentum may be stretched.
Divergence labels (“Bull Div” / “Bear Div”) highlight possible reversal zones.
Enable TradingView alerts from the “Webby RSI Buy/Sell Signal” conditions.
⚠️ Disclaimer
This script is provided for educational purposes only.
It is not financial advice, and past performance does not guarantee future results.
Always do your own research and use proper risk management before trading or investing.
Machine Learning BBPct [BackQuant]Machine Learning BBPct
What this is (in one line)
A Bollinger Band %B oscillator enhanced with a simplified K-Nearest Neighbors (KNN) pattern matcher. The model compares today’s context (volatility, momentum, volume, and position inside the bands) to similar situations in recent history and blends that historical consensus back into the raw %B to reduce noise and improve context awareness. It is informational and diagnostic—designed to describe market state, not to sell a trading system.
Background: %B in plain terms
Bollinger %B measures where price sits inside its dynamic envelope: 0 at the lower band, 1 at the upper band, ~ 0.5 near the basis (the moving average). Readings toward 1 indicate pressure near the envelope’s upper edge (often strength or stretch), while readings toward 0 indicate pressure near the lower edge (often weakness or stretch). Because bands adapt to volatility, %B is naturally comparable across regimes.
Why add (simplified) KNN?
Classic %B is reactive and can be whippy in fast regimes. The simplified KNN layer builds a “nearest-neighbor memory” of recent market states and asks: “When the market looked like this before, where did %B tend to be next bar?” It then blends that estimate with the current %B. Key ideas:
• Feature vector . Each bar is summarized by up to five normalized features:
– %B itself (normalized)
– Band width (volatility proxy)
– Price momentum (ROC)
– Volume momentum (ROC of volume)
– Price position within the bands
• Distance metric . Euclidean distance ranks the most similar recent bars.
• Prediction . Average the neighbors’ prior %B (lagged to avoid lookahead), inverse-weighted by distance.
• Blend . Linearly combine raw %B and KNN-predicted %B with a configurable weight; optional filtering then adapts to confidence.
This remains “simplified” KNN: no training/validation split, no KD-trees, no scaling beyond windowed min-max, and no probabilistic calibration.
How the script is organized (by input groups)
1) BBPct Settings
• Price Source – Which price to evaluate (%B is computed from this).
• Calculation Period – Lookback for SMA basis and standard deviation.
• Multiplier – Standard deviation width (e.g., 2.0).
• Apply Smoothing / Type / Length – Optional smoothing of the %B stream before ML (EMA, RMA, DEMA, TEMA, LINREG, HMA, etc.). Turning this off gives you the raw %B.
2) Thresholds
• Overbought/Oversold – Default 0.8 / 0.2 (inside ).
• Extreme OB/OS – Stricter zones (e.g., 0.95 / 0.05) to flag stretch conditions.
3) KNN Machine Learning
• Enable KNN – Switch between pure %B and hybrid.
• K (neighbors) – How many historical analogs to blend (default 8).
• Historical Period – Size of the search window for neighbors.
• ML Weight – Blend between raw %B and KNN estimate.
• Number of Features – Use 2–5 features; higher counts add context but raise the risk of overfitting in short windows.
4) Filtering
• Method – None, Adaptive, Kalman-style (first-order),
or Hull smoothing.
• Strength – How aggressively to smooth. “Adaptive” uses model confidence to modulate its alpha: higher confidence → stronger reliance on the ML estimate.
5) Performance Tracking
• Win-rate Period – Simple running score of past signal outcomes based on target/stop/time-out logic (informational, not a robust backtest).
• Early Entry Lookback – Horizon for forecasting a potential threshold cross.
• Profit Target / Stop Loss – Used only by the internal win-rate heuristic.
6) Self-Optimization
• Enable Self-Optimization – Lightweight, rolling comparison of a few canned settings (K = 8/14/21 via simple rules on %B extremes).
• Optimization Window & Stability Threshold – Governs how quickly preferred K changes and how sensitive the overfitting alarm is.
• Adaptive Thresholds – Adjust the OB/OS lines with volatility regime (ATR ratio), widening in calm markets and tightening in turbulent ones (bounded 0.7–0.9 and 0.1–0.3).
7) UI Settings
• Show Table / Zones / ML Prediction / Early Signals – Toggle informational overlays.
• Signal Line Width, Candle Painting, Colors – Visual preferences.
Step-by-step logic
A) Compute %B
Basis = SMA(source, len); dev = stdev(source, len) × multiplier; Upper/Lower = Basis ± dev.
%B = (price − Lower) / (Upper − Lower). Optional smoothing yields standardBB .
B) Build the feature vector
All features are min-max normalized over the KNN window so distances are in comparable units. Features include normalized %B, normalized band width, normalized price ROC, normalized volume ROC, and normalized position within bands. You can limit to the first N features (2–5).
C) Find nearest neighbors
For each bar inside the lookback window, compute the Euclidean distance between current features and that bar’s features. Sort by distance, keep the top K .
D) Predict and blend
Use inverse-distance weights (with a strong cap for near-zero distances) to average neighbors’ prior %B (lagged by one bar). This becomes the KNN estimate. Blend it with raw %B via the ML weight. A variance of neighbor %B around the prediction becomes an uncertainty proxy ; combined with a stability score (how long parameters remain unchanged), it forms mlConfidence ∈ . The Adaptive filter optionally transforms that confidence into a smoothing coefficient.
E) Adaptive thresholds
Volatility regime (ATR(14) divided by its 50-bar SMA) nudges OB/OS thresholds wider or narrower within fixed bounds. The aim: comparable extremeness across regimes.
F) Early entry heuristic
A tiny two-step slope/acceleration probe extrapolates finalBB forward a few bars. If it is on track to cross OB/OS soon (and slope/acceleration agree), it flags an EARLY_BUY/SELL candidate with an internal confidence score. This is explicitly a heuristic—use as an attention cue, not a signal by itself.
G) Informational win-rate
The script keeps a rolling array of trade outcomes derived from signal transitions + rudimentary exits (target/stop/time). The percentage shown is a rough diagnostic , not a validated backtest.
Outputs and visual language
• ML Bollinger %B (finalBB) – The main line after KNN blending and optional filtering.
• Gradient fill – Greenish tones above 0.5, reddish below, with intensity following distance from the midline.
• Adaptive zones – Overbought/oversold and extreme bands; shaded backgrounds appear at extremes.
• ML Prediction (dots) – The KNN estimate plotted as faint circles; becomes bright white when confidence > 0.7.
• Early arrows – Optional small triangles for approaching OB/OS.
• Candle painting – Light green above the midline, light red below (optional).
• Info panel – Current value, signal classification, ML confidence, optimized K, stability, volatility regime, adaptive thresholds, overfitting flag, early-entry status, and total signals processed.
Signal classification (informational)
The indicator does not fire trade commands; it labels state:
• STRONG_BUY / STRONG_SELL – finalBB beyond extreme OS/OB thresholds.
• BUY / SELL – finalBB beyond adaptive OS/OB.
• EARLY_BUY / EARLY_SELL – forecast suggests a near-term cross with decent internal confidence.
• NEUTRAL – between adaptive bands.
Alerts (what you can automate)
• Entering adaptive OB/OS and extreme OB/OS.
• Midline cross (0.5).
• Overfitting detected (frequent parameter flipping).
• Early signals when early confidence > 0.7.
These are purely descriptive triggers around the indicator’s state.
Practical interpretation
• Mean-reversion context – In range markets, adaptive OS/OB with ML smoothing can reduce whipsaws relative to raw %B.
• Trend context – In persistent trends, the KNN blend can keep finalBB nearer the mid/upper region during healthy pullbacks if history supports similar contexts.
• Regime awareness – Watch the volatility regime and adaptive thresholds. If thresholds compress (high vol), “OB/OS” comes sooner; if thresholds widen (calm), it takes more stretch to flag.
• Confidence as a weight – High mlConfidence implies neighbors agree; you may rely more on the ML curve. Low confidence argues for de-emphasizing ML and leaning on raw %B or other tools.
• Stability score – Rising stability indicates consistent parameter selection and fewer flips; dropping stability hints at a shifting backdrop.
Methodological notes
• Normalization uses rolling min-max over the KNN window. This is simple and scale-agnostic but sensitive to outliers; the distance metric will reflect that.
• Distance is unweighted Euclidean. If you raise featureCount, you increase dimensionality; consider keeping K larger and lookback ample to avoid sparse-neighbor artifacts.
• Lag handling intentionally uses neighbors’ previous %B for prediction to avoid lookahead bias.
• Self-optimization is deliberately modest: it only compares a few canned K/threshold choices using simple “did an extreme anticipate movement?” scoring, then enforces a stability regime and an overfitting guard. It is not a grid search or GA.
• Kalman option is a first-order recursive filter (fixed gain), not a full state-space estimator.
• Hull option derives a dynamic length from 1/strength; it is a convenience smoothing alternative.
Limitations and cautions
• Non-stationarity – Nearest neighbors from the recent window may not represent the future under structural breaks (policy shifts, liquidity shocks).
• Curse of dimensionality – Adding features without sufficient lookback can make genuine neighbors rare.
• Overfitting risk – The script includes a crude overfitting detector (frequent parameter flips) and will fall back to defaults when triggered, but this is only a guardrail.
• Win-rate display – The internal score is illustrative; it does not constitute a tradable backtest.
• Latency vs. smoothness – Smoothing and ML blending reduce noise but add lag; tune to your timeframe and objectives.
Tuning guide
• Short-term scalping – Lower len (10–14), slightly lower multiplier (1.8–2.0), small K (5–8), featureCount 3–4, Adaptive filter ON, moderate strength.
• Swing trading – len (20–30), multiplier ~2.0, K (8–14), featureCount 4–5, Adaptive thresholds ON, filter modest.
• Strong trends – Consider higher adaptive_upper/lower bounds (or let volatility regime do it), keep ML weight moderate so raw %B still reflects surges.
• Chop – Higher ML weight and stronger Adaptive filtering; accept lag in exchange for fewer false extremes.
How to use it responsibly
Treat this as a state descriptor and context filter. Pair it with your execution signals (structure breaks, volume footprints, higher-timeframe bias) and risk management. If mlConfidence is low or stability is falling, lean less on the ML line and more on raw %B or external confirmation.
Summary
Machine Learning BBPct augments a familiar oscillator with a transparent, simplified KNN memory of recent conditions. By blending neighbors’ behavior into %B and adapting thresholds to volatility regime—while exposing confidence, stability, and a plain early-entry heuristic—it provides an informational, probability-minded view of stretch and reversion that you can interpret alongside your own process.
BitKurd Timings V3.1 BetaBitKurd Timings V3.1 Beta
Introduction
This Script displays the Asia Session Range, the London Open Inducement Window, the NY Open Inducement Window, the Previous Week's high and low, the Previous Day's highs and lows, and the Day Open price in the cleanest way possible.
Description
The Indicator is based on UTC -7 timing but displays the Session Boxes automatically correct at your chart so you do not have to adjust any timings based on your Time Zone and don't have to do any calculations based on your UTC. It is already perfect.
You will see on default settings the purple Asia Box and 2 grey boxes, the first one is for the London Open Inducement Window (1 hour) and the second grey box is for the NY Open Inducement Window (also 1 hour)
Asia Range comes with default settings with the Asia Range high, low, and midline, you can remove these 3 lines in the settings "style" and untick the "Lines" box, that way you only will have the boxes displayed.
Special Feature
Most Timing-based Indicators have "bugged" boxes or don't show clean boxes at all and don't adjust at daylight savings times, we made sure that everything automatically gets adjusted so you don't have to! So the timings will always display at the correct time regarding the daylight savings times.
Combining Timing with Liquidity Zones the right way and in a clear, clean, and simple format.
Different than others this script also shows the "true" Asia range as it respects the "day open gap" which affects the Asia range in other scripts and it also covers the full 8 hours of Asia Session.
Additions
You can add in the settings menu the last week's high and low, the previous day's high and low, and also the day's open price by ticking the boxes in the settings menu
All colors of the boxes are fully adjustable and customizable for your personal preferences. Same for the previous weeks and day highs and lows. Just go to "Style" and you can adjust the Line types or colors to your preferred choice.
Recommended Use
The most beautiful display is on the M5 Timeframe as you have a clear overview of all sessions without losing the intraday view. You can also use it on the M1 for more details or the M15 for the bigger picture. The Template can hide on higher time frames starting from the H1 to not flood your chart with boxes.
How to use the Asia Session Range Box
Use the Asia Range Box as your intraday Guide, keep in mind that a Breakout of Asia high or low induces Liquidity and a common price behavior is a reversal after the fake breakout of that range.
How to use the London Open and NY Open Inducement Windows
Both grey boxes highlight the Open of either London Open or NY Open and you should keep an eye out for potential Liquditiy Graps or Mitigations during that times as this is when they introduce major Liquidity for the regarding Session.
How to use the Asia high, low and midline and day open price
After Asia Range got taken out in one direction, often price comes back to those levels to mitigate or bounce off, so you can imagine those zones as support and resistance on some occasions, recommended in combination with Imbalances.
How to use the previous day and week's highs and lows
Once added in the settings, you can display those price levels, you can use them either as Liquidity Targets or as Inducement Levels once they are taken out.
Enjoy!
Fractal Circles#### FRACTAL CIRCLES ####
I combined 2 of my best indicators Fractal Waves (Simplified) and Circles.
Combining the Fractal and Gann levels makes for a very simple trading strategy.
Core Functionality
Gann Circle Levels: This indicator plots mathematical support and resistance levels based on Gann theory, including 360/2, 360/3, and doubly strong levels. The system automatically adjusts to any price range using an intelligent multiplier system, making it suitable for forex, stocks, crypto, or any market.
Fractal Wave Analysis: Integrates real-time trend analysis from both current and higher timeframes. Shows the current price range boundaries (high/low) and trend direction through dynamic lines and background fills, helping traders understand market structure.
Key Trading Benefits
Active Level Detection: The closest Gann level to current price is automatically highlighted in green with increased line thickness. This eliminates guesswork about which level is most likely to act as immediate support or resistance.
Real-Time Price Tracking: A customizable line follows current price with an offset to the right, projecting where price sits relative to upcoming levels. A gradient-filled box visualizes the exact distance between current price and the active Gann level.
Multi-Timeframe Context: View fractal waves from higher timeframes while maintaining current timeframe precision. This helps identify whether short-term moves align with or contradict longer-term structure.
Smart Alert System: Comprehensive alerts trigger when price crosses any Gann level, with options to monitor all levels or focus only on the active level. Reduces the need for constant chart monitoring while ensuring you never miss significant level breaks.
Practical Trading Applications
Entry Timing: Use active level highlighting to identify the most probable support/resistance for entries. The real-time distance box helps gauge risk/reward before entering positions.
Risk Management: Set stops based on Gann level breaks, particularly doubly strong levels which tend to be more significant. The gradient visualization makes it easy to see how much room price has before hitting key levels.
Trend Confirmation: Fractal waves provide immediate context about whether current price action aligns with broader market structure. Bullish/bearish background fills offer quick visual confirmation of trend direction.
Multi-Asset Analysis: The auto-scaling multiplier system works across all markets and timeframes, making it valuable for traders who monitor multiple instruments with vastly different price ranges.
Confluence Trading: Combine Gann levels with fractal wave boundaries to identify high-probability setups where multiple technical factors align.
This tool is particularly valuable for traders who appreciate mathematical precision in their technical analysis while maintaining the flexibility to adapt to real-time market conditions.
Multi-Band Trend LineThis Pine Script creates a versatile technical indicator called "Multi-Band Trend Line" that builds upon the concept of the popular "Follow Line Indicator" by Dreadblitz. While the original Follow Line Indicator uses simple trend detection to place a line at High or Low levels, this enhanced version combines multiple band-based trading strategies with dynamic trend line generation. The indicator supports five different band types and provides more sophisticated buy/sell signals based on price breakouts from various technical analysis bands.
Key Features
Multi-Band Support
The indicator supports five different band types:
- Bollinger Bands: Uses standard deviation to create bands around a moving average
- Keltner Channels: Uses ATR (Average True Range) to create bands around a moving average
- Donchian Channels: Uses the highest high and lowest low over a specified period
- Moving Average Envelopes: Creates bands as a percentage above and below a moving average
- ATR Bands: Uses ATR multiplier to create bands around a moving average
Dynamic Trend Line Generation (Enhanced Follow Line Concept)
- Similar to the Follow Line Indicator, the trend line is placed at High or Low levels based on trend direction
- Key Enhancement: Instead of simple trend detection, this version uses band breakouts to trigger trend changes
- When price breaks above the upper band (bullish signal), the trend line is set to the low (optionally adjusted with ATR) - similar to Follow Line's low placement
- When price breaks below the lower band (bearish signal), the trend line is set to the high (optionally adjusted with ATR) - similar to Follow Line's high placement
- The trend line acts as dynamic support/resistance, following the price action more precisely than the original Follow Line
ATR Filter (Follow Line Enhancement)
- Like the original Follow Line Indicator, an ATR filter can be selected to place the line at a more distance level than the normal mode settled at candles Highs/Lows
- When enabled, it adds/subtracts ATR value to provide more conservative trend line placement
- Helps reduce false signals in volatile markets
- This feature maintains the core philosophy of the Follow Line while adding more precision through band-based triggers
Signal Generation
- Buy Signal: Generated when trend changes from bearish to bullish (trend line starts rising)
- Sell Signal: Generated when trend changes from bullish to bearish (trend line starts falling)
- Signals are displayed as labels on the chart
Visual Elements
- Upper and lower bands are plotted in gray
- Trend line changes color based on direction (green for bullish, red for bearish)
- Background color changes based on trend direction
- Buy/sell signals are marked with labeled shapes
How It Works
Band Calculation: Based on the selected band type, upper and lower boundaries are calculated
Signal Detection: When price closes above the upper band or below the lower band, a breakout signal is generated
Trend Line Update: The trend line is updated based on the breakout direction and previous trend line value
Trend Direction: Determined by comparing current trend line with the previous value
Alert Generation: Buy/sell conditions trigger alerts and visual signals
Use Cases
Enhanced trend following strategies: More precise than basic Follow Line due to band-based triggers
Breakout trading: Multiple band types provide various breakout opportunities
Dynamic support/resistance identification: Combines Follow Line concept with band analysis
Multi-timeframe analysis with different band types: Choose the most suitable band for your timeframe
Reduced false signals: Band confirmation provides better entry/exit points compared to simple trend following
CHoCH Reversal Hunter🔥 CHoCH Reversal Hunter — Detect Bearish CHoCH Patterns & Fibonacci Golden Zone For Precision Reversal Setups
📈 Overview
CHoCH Reversal Hunter is a Pine Script™ indicator for structured bearish market analysis.
It combines major/minor pivot detection, Change of Character (CHoCH) filtering, and logarithmic Fibonacci retracements into one framework.
The goal: identify Small LL → CHoCH → Golden Zone setups with higher precision.
🧠 Core Logic
1. 📊 Market Structure Backbone
Tracks the 4 most recent major highs (H0–H3) and 3 major lows.
These pivots form the basis for trend evaluation.
2. 🔻 Bearish Background Conditions
A bearish market context is confirmed when:
// Bearish Background Condition
isBearish = (High 3 < High 2) and (
(High 2 > High 1 and High 2 < High 0) or
(High 2 <= High 1)
)
// Reset to neutral if High 2 < High 3
This ensures that only a true lower-high structure activates the bearish framework.
3. 🎯 Hunt for Small Lower Low (LL)
Monitors minor pivot lows with a smaller lookback period.
A valid Small LL must break below the third major low (Low 2).
This Small LL becomes the 0% Fibonacci anchor.
4. 🔄 Change of Character (CHoCH) Selection
The indicator scans recent bars for three possible CHoCH patterns:
// CHoCH Type Definitions in CHoCH Hunter
// Inside → current bar inside previous bar
isInsideBar = high < high and low > low
// Smarty → short-term reversal clue
isSmartyBar = low > low and low < low
// Pivot → minor swing high (small swing detection)
isSmallPivotHigh = ta.pivothigh(high, small_swing_period, small_swing_period)
Filter rules for validity:
CHoCH must occur before the Small LL bar.
Its high must be greater than the Small LL bar’s high (dominance criterion).
5. ⚡ Confirmation & Fibonacci Activation
Once price crosses above the selected CHoCH → setup confirmed.
Fibonacci retracements (logarithmic scale) are calculated:
100% → current high (dynamic, updates before breach).
65% → Golden Zone upper boundary.
50% → Golden Zone lower boundary.
0% → Small LL anchor.
6. 📈 Dynamic Management & Reset Rules
Before 50% breach → Fibo High auto-updates with new highs.
After breach → Levels freeze.
Setup resets if:
Price drops below Small LL.
Price breaks beyond frozen levels.
New Small LL formation detected.
✨ Key Features
📍 Automatic detection of major & minor pivots.
🔍 Clear definitions for Inside, Smarty, Pivot CHoCHs.
📐 Logarithmic Fibonacci retracements for exponential markets.
🎯 Golden Zone highlighting (50%–65%).
🔄 Built-in reset logic to invalidate weak setups.
🎨 Visualization
Pivot markers for Major (📕) & Minor (📘) swings.
Labels for CHoCH points with type (“Inside”, “Smarty”, “Pivot”).
Golden Zone highlighted between 50%–65%.
Optional structure labels for clarity.
⚙️ Inputs & Customization
Major Structure Period (default: 4) — sensitivity for big swings.
Minor Structure Period (default: 2) — sensitivity for small swings.
Toggle display of pivots, structure labels, and Golden Zone.
📚 Educational Value
CHoCH Reversal Hunter is designed to help traders learn:
How bearish structures are objectively defined.
Different CHoCH types and how to filter them.
Applying Fibonacci retracements in structured setups.
⚠️ Risk Disclaimer
🚨 This indicator is for educational purposes only and does not constitute financial advice.
Trading involves significant risk — always backtest and apply sound risk management.
🆕 Release Notes v1.0
Bearish structure detection logic added.
CHoCH type classification (Inside, Smarty, Pivot).
Logarithmic Fibonacci retracement with Golden Zone.
Automatic reset & invalidation rules.
💡 Pro Tip: Watch for the sequence Bearish Background → Small LL → CHoCH → Golden Zone — this is the core hunting pattern of CHoCH Reversal Hunter.
Session Volume Profile (DeadCat)Volume Profile is a charting study that displays trading activity over specific time periods at various price levels. It appears as a horizontal histogram on the chart, revealing where traders have shown the most interest based on volume concentration.
This Volume Profile automatically anchors to user-selected timeframes, creating fresh volume analysis for each new period while maintaining clean, systematic visualization of price-volume relationships.
Core Components :
Point of Control (POC): The price level with the highest volume activity during the selected period, marked with a yellow line and left-side label.
Value Area High/Low (VAH/VAL): Price boundaries that contain a specified percentage of the total volume (default 40%), helping identify the main trading range where most activity occurred.
Volume Histogram: Left-aligned bars showing volume distribution across price levels, with value area highlighting for enhanced visual clarity.
Key Features :
- Automatic Period Detection: Supports hourly, daily, weekly, and monthly timeframe anchoring
- Customizable Granularity: Adjustable rows (10-500) for different price resolution needs
- Labels: Clear POC, VAH, and VAL identification positioned at profile start
- Toggle Controls**: Optional display for volume rows, key levels, and background fills
- Clean Visualization: Profiles reset automatically at each new period for current market focus
Display Options :
- Profile Rows: Show/hide the volume histogram bars
- Key Level Lines: Individual controls for POC, VAH, and VAL display
- Value Area Background: Optional shading between VAH and VAL levels
- Color Customization: Separate color controls for all visual elements
The indicator provides systematic volume analysis by creating fresh profiles at regular intervals, helping traders identify significant price levels and volume patterns within their preferred timeframe structure.
Disclaimer : This indicator is for educational and informational purposes only. Trading decisions should be based on comprehensive analysis and proper risk management. Past performance does not guarantee future results.
Low of day distanceA simple indicator that tells you the distance to the low of the day in percentage terms.
Useful for quick position sizing calculations when your strategy, for instance, uses low of day stops.
TrendMaster Pro with Dynamic ATROverview
TrendMaster Pro with Dynamic ATR is a comprehensive trend-following indicator designed for traders seeking to identify entry and exit points in trending markets while incorporating volatility-based risk management. Built on a multi-timeframe Exponential Moving Average (EMA) system, it combines short-term momentum signals with long-term trend filters, enhanced by a Volatility-Adjusted Moving Average (VMA) for confirmation and Average True Range (ATR) for adaptive stop-loss and take-profit levels.
This indicator overlays directly on your chart, providing visual cues for buy/sell signals, dynamic stops/targets, and optional EMA lines. It's ideal for swing trading, day trading, or scalping across various assets like stocks, forex, cryptocurrencies, and commodities. The system emphasizes trend alignment to reduce false signals, with customizable options for trailing mechanisms and filters to suit different market conditions.
Key benefits:
Multi-Timeframe Analysis: Incorporates higher timeframe EMAs for robust trend detection without needing to switch charts.
Volatility Adaptation: Uses ATR for dynamic positioning of stops and targets, helping manage risk in volatile environments.
Flexible Customization: Toggles for displaying EMAs, using trailing stops/targets, and applying VMA filters for entries/exits.
Alert Integration: Built-in alerts for entries, exits, stop breaches, and target hits to automate notifications.
Core Components
The indicator revolves around four EMAs, a VMA, and ATR calculations:
Exponential Moving Averages (EMAs):
Fast EMA (Default: 12 periods): Captures short-term momentum and quick price changes.
Slow EMA (Default: 27 periods): Identifies medium-term trends, providing a smoother view than the Fast EMA.
Stop EMA (Default: 48 periods on 15-minute timeframe): Acts as dynamic support/resistance for risk management and exit signals.
Trend EMA (Default: 288 periods on 5-minute timeframe): Serves as a long-term trend filter to ensure trades align with the overall market direction.
Volatility-Adjusted Moving Average (VMA):
A dynamic moving average that adjusts its sensitivity based on market volatility (using a Directional Movement Index-inspired calculation).
Length: Default 6 periods.
Colored green (uptrend), red (downtrend), or blue (neutral/sideways).
Optionally filters entries and exits to confirm trend direction.
Average True Range (ATR):
Measures volatility over a specified period (Default: 14).
Used to set adaptive stop-loss and take-profit levels.
Multipliers allow customization: Stop (Default: 1.5x ATR), Fixed Target (Default: 3.0x ATR), Trailing Target (Default: 2.0x ATR).
Supports trailing options for stops (based on highest/lowest since entry) and targets (ratcheting with price movement).
Signal Generation
Entry Signals
Buy (Long) Signal: Triggered when the price is above the Trend EMA (bullish alignment) and one of the following occurs:
Price crosses above the Trend EMA.
Price crosses above the Fast EMA, with Fast EMA > Slow EMA > Trend EMA.
Price crosses above the Slow EMA, with Fast EMA > Slow EMA > Trend EMA.
Filtered optionally by VMA being green (uptrend confirmation).
Visual: Green "BUY" label below the bar.
Sell (Short) Signal: Triggered when the price is below the Trend EMA (bearish alignment) and one of the following occurs:
Price crosses below the Trend EMA.
Price crosses below the Fast EMA, with Fast EMA < Slow EMA < Trend EMA.
Price crosses below the Slow EMA, with Fast EMA < Slow EMA < Trend EMA.
Filtered optionally by VMA being red (downtrend confirmation).
Visual: Red "SELL" label above the bar.
Exit Signals
Exit Long: Occurs when the position is active and:
Price crosses below the Stop EMA, or
Price hits the ATR stop-loss (fixed or trailing), or
Price reaches the ATR take-profit (fixed or trailing).
Filtered optionally by VMA > Stop EMA and VMA red (downtrend shift).
Visual: Green "E" label (exit) or "TP" label (if target hit).
Exit Short: Occurs when the position is active and:
Price crosses above the Stop EMA, or
Price hits the ATR stop-loss (fixed or trailing), or
Price reaches the ATR take-profit (fixed or trailing).
Filtered optionally by VMA < Stop EMA and VMA green (uptrend shift).
Visual: Red "E" label (exit) or "TP" label (if target hit).
The indicator tracks only one active position at a time (long or short), resetting on exit. Trailing stops update based on the highest high (long) or lowest low (short) since entry.
Visual Elements
How to Use ?
Setup: Add to your chart and adjust inputs based on your timeframe (e.g., shorter lengths for intraday, longer for swings).
Trading Strategy:
Enter on "BUY" or "SELL" labels when aligned with your broader analysis.
Monitor ATR lines for risk/reward: Aim for targets at least 2x stop distance.
Use trailing options in trending markets to lock in profits; fixed in ranging ones.
Combine with volume or other indicators for confirmation.
Risk Management: Always respect ATR stops to limit losses. Position size based on stop distance (e.g., 1-2% account risk).
Backtesting: Test on historical data to optimize parameters for your asset.
Alerts: Set up notifications for signals via TradingView's alert system. Examples:
"BUY signal triggered"
"EXIT long trade"
"Long ATR target reached on close"
Notes and Limitations
This is not financial advice; use at your own risk and combine with personal analysis.
Performance varies by market conditions—best in trending environments; may whipsaw in sideways markets.
Multi-timeframe requests may cause slight repainting on live charts due to higher TF data.
No repainting on closed bars, but ensure your chart timeframe is compatible with input TFs.
Licensed under Mozilla Public License 2.0. For questions or feedback, contact @MudraMiner.
This indicator empowers traders with a balanced, adaptive system—happy trading! 🚀
RSI by Tamil harmonic trader rajRSI Indicator will show RSI value on chart right side as per timeframe.
AI Fib Strategy (Full Trade Plan)This indicator automatically plots Fibonacci retracements and a Golden Zone box (61.8%–65% retracement) based on the 4H candle body high/low.
Features:
Auto-detects session breaks or daily breaks (configurable).
Draws standard Fib retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%).
Highlights the Golden Zone for high-probability trade entries.
Optional Take Profit extensions (TP1, TP2, TP3).
Fully compatible with Pine Script v6.
Usage:
Best applied on intraday charts (15m, 30m, 1H).
Use the Golden Zone for entry confirmations.
Combine with candlestick patterns, order blocks, or volume for stronger signals.
🎁 <166> 25_0807 MACD DEMA TEMA DON + TURNOVER 통합신호Unified Signals
Each module (MACD, DEMA Ichimoku, TEMA Ichimoku, Donchian, Volume) can be enabled/disabled individually.
All conditions are combined into a single “all_conditions” logic.
If all active conditions are satisfied → bullish (buy).
If not → bearish (sell).
Buy/Sell labels, background fills, and candle colors are displayed.
Labels reset daily (new day → old labels deleted, new ones drawn).
