Reversal Zones// This indicator identifies likely reversal zones above and below current price by aggregating multiple technical signals:
// • Prior Day High/Low
// • Opening Range (9:30–10:00)
// • VWAP ±2 standard deviations
// • 60‑minute Bollinger Bands
// It draws shaded boxes for each base level, then computes a single upper/lower reversal zone (closest level from combined signals),
// with configurable zone width based on the expected move (EM). Within those reversal zones, it highlights an inner “strike zone”
// (percentage of the box) to suggest optimal short-option strikes for credit spreads or iron condors.
// Additional features:
// • Optional Expected Move lines from the RTH open
// • 15‑minute RSI/Mean‑Reversion and Trend‑Day confluence flags displayed in a dashboard
// • Toggles to include/exclude each signal and adjust styling
// How to use:
// 1. Adjust inputs to select which levels to include and set the expected move parameters.
// 2. Reversal boxes (red above, green below) show zones where price is most likely to reverse.
// 3. Inner strike zones (darker shading) guide optimal short-strike placement.
// 4. Dashboard confirms whether mean-reversion or trend-day conditions are active.
// Customize colors and visibility in the settings panel. Enjoy disciplined, confluence-based trade entries!
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Mean Reversion Probability Zones [BigBeluga]🔵 OVERVIEW
The Mean Reversion Probability Zones indicator measures the likelihood of price reverting back toward its mean . By analyzing oscillator dynamics (RSI, MFI, or Stochastic), it calculates probability zones both above and below the oscillator. These zones are visualized as histograms, colored regions on the main chart, and a compact dashboard, helping traders spot when the market is statistically stretched and more likely to revert.
🔵 CONCEPTS
Mean Reversion : The tendency of price to return to its average after significant extensions.
Oscillator-Based Analysis : Uses RSI, MFI, or Stochastic as the base signal for detecting overextension.
Probability Model : The probability of reversion is computed using three factors:
Whether the oscillator is rising or declining.
Whether the oscillator is above or below user-defined thresholds.
The oscillator’s actual value (distance from equilibrium).
Dual-Zone Output :
Upper histogram = probability of downward mean reversion.
Lower histogram = probability of upward mean reversion.
Historical Extremes : The dashboard highlights the recent maximum probability values for both upward and downward scenarios.
🔵 FEATURES
Oscillator Choice : Switch between RSI, MFI, and Stochastic.
Customizable Zones : User-defined upper/lower thresholds with independent colors.
Probability Histograms :
Above oscillator → down reversion probability.
Below oscillator → up reversion probability.
Colored Gradient Zones on Chart : Visual overlays showing where mean reversion probabilities are strongest.
Probability Labels : Percentages displayed next to histogram values for clarity.
Dashboard : Compact table in the corner showing the recent maximum probabilities for both upward and downward mean reversion.
Overlay Compatibility : Works in both chart pane and sub-pane with oscillators.
🔵 HOW TO USE
Set Oscillator : Choose RSI, MFI, or Stochastic depending on your strategy style.
Adjust Zones : Define upper/lower bounds for when oscillator values indicate strong overbought/oversold conditions.
Interpret Histograms :
Orange (upper) histogram → higher chance of a pullback/downward mean reversion.
Green (lower) histogram → higher chance of upward reversion/bounce.
Watch Gradient Zones : On the main chart, shaded areas highlight where probability of mean reversion is elevated.
Consult Dashboard : Use the “Recent MAX” values to understand how strong recent reversion probabilities have been in either direction.
Confluence Strategy : Combine with support/resistance, order flow, or trend filters to avoid counter-trend trades.
🔵 CONCLUSION
The Mean Reversion Probability Zones provides traders with an advanced way to quantify and visualize mean reversion opportunities. By blending oscillator momentum, threshold logic, and probability calculations, it highlights when markets are statistically stretched and primed for reversal. Whether you are a contrarian trader or simply looking for exhaustion signals to fade, this tool helps bring structure and clarity to mean reversion setups.
HTF POC with Zones & AlertsPlots a Point of Control (POC) per candle from a timeframe you choose (MTF). Because TradingView doesn’t expose true footprint data, the POC here is a proxy (choose: Body Mid, Range Mid, or Typical Price HLC3). The script draws the POC line and an optional POC zone (±% of that candle’s range), then alerts when price retests the zone (wick touches count).
Use it to:
Mark key levels inside candles that often act as magnets or reaction zones
Track retests of strong bars (imbalance) across higher timeframes
Add clean confluence with S/R, FVGs, or trend tools
Features: Selectable TF, zone width, extend lines/zones, historical caps, alerts, and info panel.
Note: This is an estimate of POC from OHLC, not real bid/ask volume. Use as context, not a standalone signal.
Institutional Momentum Zones (ADX+ROC+DI+MACD+Filters)Institutional Momentum Zones (ADX + ROC + DI + MACD + Filters)
This indicator is designed to help traders visually identify Bullish, Neutral, and Bearish momentum zones on Nifty, indices, or any liquid asset, using a rules-based, institutional-style approach.
It combines multiple professional-grade momentum and trend filters into a single framework:
ADX (Average Directional Index) – Measures trend strength, filters out choppy conditions.
Directional Indicators (+DI / –DI) – Confirms whether bulls or bears are in control.
ROC (Rate of Change) – Quantifies momentum speed and direction.
MACD (optional) – Adds confirmation by checking multi-timeframe momentum alignment.
EMA Filters (optional) – Ensures price is in alignment with long-term trend bias.
Supertrend (optional) – Can be enabled for additional trend confirmation.
How it works:
Bullish Zone (Green) → Strong trend (ADX > threshold) + upward momentum (ROC > 0, +DI > –DI) + optional EMA/MACD/Supertrend confirmation.
Bearish Zone (Red) → Strong trend (ADX > threshold) + downward momentum (ROC < 0, –DI > +DI) + optional EMA/MACD/Supertrend confirmation.
Neutral Zone (Yellow) → Low trend strength (ADX < threshold) or mixed momentum signals.
Features:
Automatic background coloring for zone detection.
On-chart labels marking new zone changes.
EMA50 / EMA200 and Supertrend overlay options.
Signal markers for bullish/bearish entries.
Info panel with live ADX, ROC, DI values, and MACD histogram.
Alert conditions for zone changes (Bull, Bear, Neutral).
Best used for:
Index momentum tracking (e.g., Nifty, Bank Nifty, Dow, S&P500)
Swing trading & positional trading strategies
Filtering trades to avoid entering during low-momentum chop
Tip: For Nifty positional trading, use Daily or 4H charts with EMA & MACD filters enabled for cleaner, high-confidence signals.
Parabolic SAR Buy Zone📈 Parabolic SAR Buy Zone — Early Trend Reversal Indicator
This script highlights bullish reversals based on the Parabolic SAR (Stop and Reverse) indicator.
🧠 Key Features:
Uses SAR parameters: Start: 0.02, Increment: 0.005, Max: 0.2
Visually marks the Buy Zone when SAR falls below the price
Background is light blue to show accumulation or early reversal zones
Yellow SAR dots help identify trend direction and potential exits
Includes alerts when SAR flips from bearish to bullish, signaling potential entry points
✅ Best Used For:
Identifying early trend reversals
Swing trading setups on daily or weekly charts
Combining with volume, RSI, or support zones for confirmation
🛎️ Customize alert to stay notified when new buy zones appear on your favorite stocks or cryptos.
Custom Daily Session Zones by KoenigseggCustom Daily Session Zones
🟣 Description
This indicator displays customizable trading session time zones as background highlights on your chart, on any timeframe you choose. The inline info tooltip provides the precise start and end times of the three largest market sessions—the US, the EU, and ASIA—for quick reference. It provides flexible control over session times for different days of the week, making it ideal for traders who need to visualize specific market hours or trading sessions.
🟣 Key Features
- Flexible Session Configuration: Set a common session time for all days or customize individual sessions for each day of the week
- Per-Day Control: Enable or disable sessions for specific days (Monday through Sunday)
- Color Customization: Choose unique colors for each day's session zones
- UTC Timezone Standard: All session times are defined in UTC to ensure consistency across charts
- Clean Visual Display: Non-intrusive background highlighting that doesn't interfere with price action
🟣 How to Use
- Common Session Mode: Use the default mode to apply the same session time across all enabled days
- Manual Per-Day Mode: Enable "Manual per-day sessions" to set different session times for each day
- Day Selection: Toggle individual days on/off based on your trading schedule
- Color Coding: Customize colors for each day to easily distinguish between different sessions
🟣 Technical Details
- Uses Pine Script v6 for optimal performance
- Implements proper session time detection using TradingView's built-in time functions
- Operates in UTC timezone for all session calculations
- Lightweight code that doesn't impact chart performance
🟣 Use Cases
- Highlight specific trading sessions (London, New York, Tokyo, etc.)
- Mark important market hours for your trading strategy
- Visualize different session overlaps
- Create custom trading time windows
- Track market activity during specific hours
🟣 Compatibility
- Works on all timeframes
- Compatible with all asset classes (Forex, Stocks, Crypto, Futures, etc.)
- Supports all TradingView chart types
- Responsive design that adapts to different screen sizes
🟣 Image Descriptions
- First Image (main image): Shows multiple New York Stock Exchange sessions from 1:30 p.m. to 8:00 p.m. (UTC), on the 15-minute timeframe, with each day’s zone colored differently to demonstrate the indicator’s customizable color settings.
- Second Image: A zoomed‑in fractal chart view of the same New York session on the 15-minute timeframe, illustrating how the background session zone appears even at higher detail levels.
Third Image: A close‑up of the New York session (1:30 p.m. to 8:00 p.m.) on the 3-minute timeframe, reaffirming the consistency of zone highlighting across different zoom levels.
🟣 Future Updates (v2)
In the next release, you’ll be able to define multiple session blocks per day—displaying two distinct colored zones within the same trading day. This will help you visualize when one market session ends and another begins without losing chart clarity.
🟣 Conclusion
This indicator is perfect for traders who need precise control over Market Session visualization and want to maintain a clean, professional chart appearance.
🟣 Disclaimer
This script is provided for educational and illustrative purposes only. It is not financial or trading advice, nor a recommendation to buy or sell any asset. Always conduct your own research and consult a professional before making any trading decisions.
Simple Market Kill-Zones + Open (UTC)What it does
This Pine v6 indicator highlights the “kill-zones” around the big session opens—Asian (23:00–03:00 UTC), London (07:00–09:00 UTC) and New York (13:30–15:30 UTC)—by reading each bar’s actual UTC timestamp. It also draws dashed vertical lines at exactly 23:00, 07:00 and 13:30 UTC, so you never miss the liquidity ramps. Because it uses raw UTC hours/minutes, it stays accurate even when exchanges pause (e.g. Nano-BTC’s daily halt) or your chart’s display timezone changes.
Key Inputs
Show Asia/London/NY Kill Zone – toggle each shaded band on/off
Zone Colors – pick your own semi-transparent hues
Show Session-Open Lines – enable dashed verticals at the exact open times
Line Colors – customize the line opacity and style
How to use
Apply on your favorite timeframe (15 min–1 h is a sweet spot).
Toggle the zones you care about and pick readable colors.
Use the dashed lines as entry triggers or as visual bookmarks.
In your own Pine strategies, wrap order logic with the zone booleans to only trade when liquidity’s alive.
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer
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1. Purpose of the Indicator
The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders:
• Save time by avoiding manual cross-referencing of disparate signals.
• Reduce decision-making errors that can arise from juggling multiple indicators.
• Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position.
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2. Why a Trader Should Use It
• Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually.
• Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant.
• Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction.
• Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases.
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3. Why These Specific Indicators?
This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions:
1. Trend Strength:
• ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish).
• Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend.
• Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness.
2. Momentum:
• Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals.
• Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum.
• MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum.
3. Price Action:
• Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score.
• Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish.
• Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation.
4. Market Activity:
• Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility.
• Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm.
• Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings.
• Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction.
By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone.
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4. What Makes This Indicator Stand Out
• Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity.
• Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized.
• Stability Mechanisms:
• Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes.
• Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw.
• Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2.
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5. Recommended Timeframes
• Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws.
• Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well.
• Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals.
Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.”
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6. How Scoring Works
A. Individual Indicator Scores
Each sub-indicator is assigned one of three discrete scores:
• +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound).
• 0 if it is neutral (e.g., RSI between upper and lower bounds).
• –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound).
Examples of individual score assignments:
• ADX/DMI:
• +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend)
• –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend)
• 0 if ADX < adxThreshold (trend strength below threshold)
• RSI:
• +1 if RSI > RSI_upperBound
• –1 if RSI < RSI_lowerBound
• 0 otherwise
• ATR (as part of Market Activity):
• +1 if ATR > (ATR_MA + stdev(ATR))
• –1 if ATR < (ATR_MA – stdev(ATR))
• 0 otherwise
Each of the four main categories shares this same +1/0/–1 logic across their sub-components.
B. Category Scores
Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows:
• Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score)
• Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score)
• Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score)
• Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score)
Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw.
C. Market Activity State and Dynamic Weight Adjustments
Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action:
1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1).
2. Bucket into High, Medium, or Low Activity:
• High if raw Score ≥ 2 (volatile market).
• Low if raw Score ≤ –2 (calm market).
• Medium otherwise.
3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label.
4. Set Category Weights:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default).
D. Calculating the Net Score
5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %).
6. Determine Current Weights based on the Market Activity State (High/Medium/Low).
7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight).
8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong).
9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise.
10. Apply Hysteresis to the Final Zone:
• If the smoothed netScore ≥ +2, the bar is classified as “Bullish.”
• If the smoothed netScore ≤ –2, the bar is classified as “Bearish.”
• Otherwise, it is “Sideways.”
• To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on).
E. Thresholds for Zone Classification
• BULLISH: netScore ≥ +2
• BEARISH: netScore ≤ –2
• SIDEWAYS: –2 < netScore < +2
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7. Role of Volatility (Market Activity State) in Scoring
Volatility acts as a dynamic switch that shifts which category carries the most influence:
1. High Activity (Volatile):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1.
• The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %.
• Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns.
2. Low Activity (Calm):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1.
• The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %.
• Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move.
3. Medium Activity (Balanced):
• Raw Score between –1 and +1 from the four volatility metrics.
• Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability.
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8. Scoring Example (Hypothetical Scenario)
• Symbol: Bitcoin on a 1-hour chart.
• Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity.
• Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Signals:
• ADX strong and +DI > –DI → +1
• Fast MA above Slow MA → +1
• Ichimoku Senkou A > Senkou B → +1
→ Trend Score = +3
• Momentum Signals:
• RSI above upper bound → +1
• MACD histogram positive → +1
• Stochastic %K within neutral zone → 0
→ Momentum Score = +2
• Price Action Signals:
• Highest High/Lowest Low check yields 0 (close not near extremes)
• Heikin-Ashi doji reading is neutral → 0
• Candle range slightly above upper bound but trend is strong, so → +1
→ Price Action Score = +1
• Compute Net Score (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 1 × 0.15 = 0.15
• Raw netScore = 1.50 + 0.70 + 0.15 = 2.35
• Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.”
Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled).
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9. Correlation Between Categories
The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations:
• Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory.
• Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias.
• Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing.
By dynamically recognizing these correlations and adjusting weights, the indicator ensures that:
• When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish.
• When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals.
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10. Market Activity State & Its Role (Detailed)
The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied:
1. Calculate Four Volatility Sub-Scores:
• BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0.
• ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0.
• KCW: Same logic as ATR but around the KCW mean.
• Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0.
2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4.
3. Assign Market Activity State:
• High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking).
• Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume).
• Medium Activity: Raw Score is between –1 and +1 inclusive.
4. Hysteresis for Stability:
• If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label.
• This prevents the Market Activity State from bouncing around when volatility is on the fence.
5. Set Category Weights Based on Activity State:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action.
7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.”
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11. Category Weights: Base vs. Dynamic
Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts:
• High Volatility Overrides:
• Trend jumps from its base (e.g., 40 %) to 50 %.
• Momentum jumps from its base (e.g., 30 %) to 35 %.
• Price Action is reduced to 15 %.
Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own.
• Low Volatility Overrides:
• Price Action leaps from its base (30 %) to 55 %.
• Trend falls to 25 %, Momentum falls to 20 %.
Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive.
Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases.
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12. Dominant Category Explained
Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely:
• Compute each category’s weighted contribution = (raw category score) × (current weight).
• Compare the absolute values of those three contributions.
• The category with the highest absolute value is flagged as Dominant for that bar.
Why It Matters:
• Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade.
• Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed.
• Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves.
By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways.
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13. Oscillator Plot: How to Read It
The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features:
1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range.
2. Horizontal Threshold Lines:
• +2 Line (Bullish threshold)
• 0 Line (Neutral midline)
• –2 Line (Bearish threshold)
3. Zone Coloring:
• Green Background (Bullish Zone): When netScore ≥ +2.
• Red Background (Bearish Zone): When netScore ≤ –2.
• Gray Background (Sideways Zone): When –2 < netScore < +2.
4. Dynamic Line Color:
• The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue.
Interpretation Tips:
• Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position.
• Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies.
• Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum.
• Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal.
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14. Comments and Their Necessity
Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples:
• “Strong bullish trend” or “Strong bearish trend” for ADX/DMI
• “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope
• “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI
• “MACD histogram positive” or “MACD histogram negative” for MACD Hist
• “Price near highs” or “Price near lows” for HH/LL checks
• “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring
• “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range
Additionally, the top-row comment for each category is:
• Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.”
• Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.”
• Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.”
• Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.”
Reasons for These Comments:
• Transparency: Shows exactly how each sub-indicator contributed to its category score.
• Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time.
• Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds.
In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment.
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15. Real-Life Example (Consolidated)
• Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart.
• Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on).
• Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Sub-Scores:
1. ADX = 25 (above threshold 20) with +DI > –DI → +1.
2. Fast MA (20-period) sits above Slow MA (50-period) → +1.
3. Ichimoku: Senkou A > Senkou B → +1.
→ Trend Score = +3.
• Momentum Sub-Scores:
4. RSI = 75 (above its moving average +1 stdev) → +1.
5. MACD histogram = +0.15 → +1.
6. Stochastic %K = 50 (mid-range) → 0.
→ Momentum Score = +2.
• Price Action Sub-Scores:
7. Price is not within 1 % of the 20-period high/low and slope = positive → 0.
8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1.
9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1.
→ Price Action Score = +2.
• Calculate netScore (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 2 × 0.15 = 0.30
• Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish.
• Oscillator & Dashboard Output:
• The oscillator line crosses above +2 and turns green.
• Dashboard displays:
• Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.”
• Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.”
• Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.”
• Market Activity State “High,” Comment = “Volatile Market.”
• Weights: Trend 50 %, Momentum 35 %, Price Action 15 %.
• Dominant Category: Trend (because 1.50 > 0.70 > 0.30).
• Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0.
• Final Zone = “BULLISH.”
• The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long.
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• .
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Disclaimer
This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should:
• Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital.
• Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis.
• Understand that no indicator is foolproof; always be prepared for unexpected market moves.
Goodluck
-BullByte!
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Supply & Demand Zones + Order Block (Pro Fusion) SuroLevel up your trading edge with this all-in-one Supply and Demand Zones + Order Block TradingView indicator, built for precision traders who focus on price action and smart money concepts.
🔍 Key Features:
Automatic detection of Supply & Demand Zones based on refined swing highs and lows
Dynamic Order Block recognition with customizable thresholds
Highlights Breakout signals with volume confirmation and trend filters
Built-in EMA 50 trend detection
Take Profit (TP1, TP2, TP3) projection levels
Clean visual labels for Demand, Supply, and OB zones
Uses smart box plotting with long extended zones for better zone visibility
🔥 Ideal for:
Traders who follow Smart Money Concepts (SMC)
Supply & Demand strategy practitioners
Breakout & Retest pattern traders
Scalpers, swing, and intraday traders using Order Flow logic
📈 Works on all markets: Forex, Crypto, Stocks, Indices
📊 Recommended timeframes: M15, H1, H4, Daily
✅ Enhance your trading strategy using this powerful zone-based script — bringing structure, clarity, and automation to your chart.
#SupplyAndDemand #OrderBlock #TradingViewScript #SmartMoney #BreakoutStrategy #TPProjection #ForexIndicator #SMC
MT-Trend Zone IdentifierTrend Zone Identifier – A Dynamic Market Trend Mapping Tool
Overview
The Trend Zone Identifier is an advanced TradingView indicator that helps traders visualize different market trend phases. By leveraging Pivot Points, Moving Averages (MA), ADX (Average Directional Index), and Retest Confirmation, this tool identifies uptrend, downtrend, and ranging (sideways) conditions dynamically.
This indicator is designed to segment the market into clear trend zones, allowing traders to distinguish between confirmed trends, trend transitions (pending zones), and ranging markets. It provides an intuitive visual overlay to enhance market structure analysis and assist in decision-making.
Key Features
✔ Trend Zone Identification – Classifies price action into Uptrend (Green), Downtrend (Red), Pending Confirmation (Light Colors), and Sideways Market (Gray/Neutral)
✔ Pivot-Based Breakout & Breakdown Detection – Uses pivot highs/lows to determine trend shifts
✔ Moving Average & ADX Validation – Ensures the trend is backed by MA structure and ADX trend strength
✔ Pullback Confirmation – Allows trend confirmation based on price retesting key levels
✔ Extreme Volatility & Gaps Filtering – Optional ATR-based extreme movement filtering to avoid false signals
✔ Multi-Timeframe Support – Option to integrate higher timeframe trend validation
✔ Customizable Sensitivity – Fine-tune MA smoothing, ADX thresholds, pivot detection, and pullback range
How It Works
1. Trend Classification
• Uptrend (Green): Price is above a key MA, ADX confirms strength, and a pivot breakout occurs
• Downtrend (Red): Price is below a key MA, ADX confirms strength, and a pivot breakdown occurs
• Pending Trend (Light Colors): Initial trend breakout or breakdown is detected but requires further confirmation
• Sideways/Ranging (Gray): ADX signals a weak trend, and price remains within a neutral zone
2. Retest & Confirmation Logic
• A trend is only confirmed after a breakout or breakdown followed by a successful retest
• If the market fails the retest, the indicator resets to a neutral state
3. Custom Filters for Optimization
• Enable or disable volume filtering for confirmation
• Adjust pivot sensitivity to detect major or minor swing points
• Choose to require consecutive bars confirming the breakout/breakdown
Ideal Use Cases
🔹 Swing traders who want to capture trend transitions early
🔹 Trend-following traders who rely on confirmed market cycles
🔹 Range traders looking to identify sideways market zones
🔹 Algorithmic traders who need clean trend segmentation for automated strategies
Final Thoughts
The Trend Zone Identifier is a versatile market structure indicator that helps traders define trend cycles visually and avoid trading against weak trends. By providing clear breakout, breakdown, and retest conditions, it enhances market clarity and reduces decision-making errors.
➡ Add this to your TradingView workspace and start analyzing market trends like a pro! 🚀
Volume Zones Internal Visualizer [LuxAlgo]The Volume Zones Internal Visualizer is an alternate candle type intended to reveal lower timeframe volume activity while on a higher timeframe chart.
It displays the candle's range, the highest and lowest zones of accumulated volume throughout the candle, and the Lower Timeframe (LTF) candle close, which contained the most volume in the session (Candle Session).
🔶 USAGE
The indicator is intended to be used as its own independent candle type. It is not a replacement for traditional candlesticks; however, it is recommended that you hide the chart's display when using this indicator. Another option is to display this indicator in an additional pane alongside the normal chart, as displayed above.
The display consists of candle ranges represented by outlined boxes, within the ranges you will notice a transparent-colored zone, a solid-colored zone, and a line.
Each of these displays different points of volume-related information from an analysis of LTF data.
In addition to this analysis, the indicator also locates the LTF candle with the highest volume, and displays its close represented by the line. This line is considered as the "Peak Activity Level" (PAL), since throughout the (HTF) candle session, this candle's close is the outcome of the most volume transacted at the time.
We are further tracking these PALs by continuing to extend them into the future, looking towards them for potential further interaction. Once a PAL is crossed, we are removing it from display as it has been mitigated.
🔶 DETAILS
The indicator aggregates the volume data from each LTF candle and creates a volume profile from it; the number of rows in the profile is determined by the "Row Size" setting.
With this profile, it locates and displays the highest (solid area) and lowest (transparent area) volume zones from the profile created.
🔶 SETTINGS
Row Size: Sets the number of rows used for the calculation of the volume profile based on LTF data.
Intrabar Timeframe: Sets the Lower Timeframe to use for calculations.
Show Last Unmitigated PALs: Choose how many Unmitigated PALs to extend.
Style: Toggle on and off features, as well as adjust colors for each.
Duong_Sideway ZoneThis indicator is designed to identify sideway (ranging) zones on the price chart. It uses a Moving Average (MA) and criteria such as the number of price crosses over the MA, as well as breakout checks, to determine whether the market is in a sideway state. When a sideway zone is detected, it is highlighted with a yellow background on the chart.
Key Features:
MA Line: Uses a Moving Average (MA) as the basis for trend identification.
Sideway Threshold: Based on the number of price crosses over the MA within a specific period.
Breakout Check: Excludes zones from being considered sideway if a breakout occurs beyond the ATR threshold.
Visual Highlighting: Highlights sideway zones with a yellow background for easy identification.
This indicator is ideal for traders looking to identify ranging market phases to adjust their trading strategies accordingly.
For example, if within the last 20 candles, the number of times the closing price crosses the MA5 is greater than 4, it is considered a sideway zone, except in cases where the closing price of a recent candle has broken out of the highest/ lowest price of the previous 20 candles.
Auto Fib ZonesAuto Fib Zones is a extension of the ABC finder script that I released. It uses the pivot point system I developed in the ABC finder to identify major or significant trending moves in the market.
It will then draw the fibzones for the trend line. The fib zone will auto update for as long as the trend line continues (size will keep increasing).
The zones will continue to extend to the right along with price until it is tested. The start of the green teal zone is the 0.618 and fills to the 0.786 and the Blue zone is the 0.786 and fills to the trend start or 1 value of the fib.
You can adjust the Bars Back variable to require more or less candles to create/ validate a new trend. In the screen shot about it is set to 50 bars however I've seen good results on higher timeframes like 4h + with 15 bars as the setting.
This is basically ITC's Optimal Trade Entry concept at least that is what the original inspiration for modifying my base script was.
As always hope it helps. God bless
Support and resistance zonesDiscretionary traders often use support and resistance zones that are based on past price action of the instrument traded.
This simple script is used to plot support and resistance zones for a given instrument. The data for the zones themselves has to be determined by the past price action of the instrument and are not based on the provided data by Tradingview.
The zones input has to come as a string. Each zone consists of a string with: ",,<"S"|"R"|"L">,<"Normal"|"Strong">"" The different zone strings have to be seperated by either new line or space.
An example for the zones input looks like:
3919.25,3919.25,L,Normal
3897.50,3906.50,R,Normal
3891.00,3894.50,S,Strong
I appreciate any feedback.
Fibonacci Zone Study w/Candles - R3c0nTraderCredits:
Thank you "eykpunter" for granting me permission to use "Fibonacci Zones" to create this study
What does this do? How is it different?
This study was created so it can be used with the strategy 'Fibonacci Zone DCA Strategy - R3c0nTrader' in order to generate buy/sell signals for a 3Commas bot.
I was not able to use "eykpunter's" "Fibonacci Zones" to create these signals as it was missing the code for this. To create the buy or sell signal you need to be able to create an alert for when the price moves through the Fib levels. Unfortunately, the "price" is not available to be selected when creating an alert with the original study. Hence the need to create this new study and to resolve the issue.
This study has overlay turned off by default so it will appear in a separate pane below your active chart. I did this so I can clearly view and separate the strategy from the study.
Steps Overview:
Add the study to your chart
Configure the study to match the Fib length you used in the strategy.
Create Alerts from the study to generate the buy or sell signals to 3Commas
The below steps for creating signals are just examples! Since there are numerous ways you can open or close a trade from a signal, please do your own testing. This cannot be understated.
Example of how to generate buy signals:
After adding the study, select the three dots for this study and click on "Add an alert on Fibonacci Zone Study /w Candles…"
Setup the condition to trigger the alert. If you want to initiate a buy when the price crosses over the top of the lower Fib zone (downtrend zone), then use the following:
Condition>Fibonacci Zone Study>Price High>Crossing Up>Fibonacci Zone Study>Top-Low Fib Border
Options>Once per bar
Expiration>Open-ended
Alert actions>Webhook URL (use the 3Commas webhook URL)
Alert name>Enter a name, "BUY Paper-Fib-Bot"
Message>Use the 3Commas message from the paper bot to open the trade
Example of how to generate sell signals:
After adding the study, select the three dots for this study and click on "Add an alert on Fibonacci Zone Study /w Candles…"
Setup the condition to trigger the alert. If you want to initiate a sell when the price reaches the top of the High Fib zone (uptrend zone), then try the following:
Condition>Fibonacci Zone Study>Price High>Crossing Up>Fibonacci Zone Study>Top-High Fib Border
(Note: I used "Crossing Up" but "Crossing" is another option; I just haven't tested it yet with a paper bot)
Options>Once per bar
Expiration>Open-ended
Alert actions>Webhook URL (use the 3Commas webhook URL)
Alert name>Enter a name, "SELL Paper-Fib-Bot"
Message>Use the 3Commas message from the paper bot to close the trade
Rate Of Change and rsi zonesHi,
I played with the ROC ( Rate of change ) indicator.
First of all I made it smooth. And came up with decent buy sell signals for long-term potential trades. It can be useful for DCA and profit booking in market tops ( before potential crash)
Recommended time frame = 1 Daily , 3 Daily , Weekly.
Usage :
1. Look for Buy and sell arrow signals. But don't jump straight away. Specially for sell. You might sell early. Instead you can move up your stop loss when you see a sell signal or profit book partially.
if you wait and combine with your own supply and demand zones you can get some nice sell price.
2. Better to wait and look for a divergence in price and ROC. As price will slow down it will reflect on the ROC line. Which means market is exhausted and potentially a correction might happen.
3. You can draw trendline one the ROC and look for breakout. ( warning won't always work )
4. You can also see the RSI in thick red/green color. It will help you determine oversold and overbought zones. Trick is don't sell when it's oversold ( red thick line) . Because it might be a start of a strong uptrend.
So better is to wait and see when the signal is printing then execute.
Best strategy is to DCA and sell in parts whenever you see such signals.
I believe it will visually help us that when to be bull and when to be bear.
Anyway if you find it useful let me know in the comment.
Also if you have some idea to improve the code you can contribute as well.
Thanks . Feedbacks are welcome.
Support Resistance Zones using confluence & Std. DeviationOverview:
This indicator takes (interactive) input from the user for support and resistance levels and plots important zones considering the other confluence levels in the indicator.
Working of indicator:
This indicator takes six input of Support/resistance level form the user
It has following 32 confluence levels
a.4 Recent positive Divergence levels (DN1, DN2, DN3, DN4)
b.4 recent negative divergence levels (DP1, DP2, DP3, DP4)
d.5 Fibonacci levels (Fib0, Fib236, Fib5, Fib618, Fib786)
e. 7 Pivot levels (P, PR1, PR2, PR3, PS1, PS2, PS3)
f.4 EMAs (E20, E200, E100, E50)
g. ATH, ATL, Weekly High, Weekly Low, two days ago high, two days ago low, previous day high , previous day low
The code checks nearest ‘n’ CONFLUENCE for each level (“Number of confluences to check”) in the indicator, after getting the nearest confluence it calculates the standard deviation of those levels WITH RESPECT TO THE MANUAL INPUT LEVELS.
If the Std. Deviation is less than the input value (“Minimum standard deviation” option) then the zone is displayed on the chart.
How to use:
Add the indicator on the chart select your important support and resistance levels.
Set standard deviation, if the confluence is less than the input standard deviation then you will see those zones on the chart.
You can display all divergence levels; you can display all fib levels. All confluences can be displayed by using the setting of the indicator
How to read the indicator values:
The zone will show all the confluence it has in its zone,
Example:
Table details:
The table shows the maximum and minimum deviation out of all six levels .To see at least one zone you have to make sure that Input value Std. Deviation must be greater than Min Std. Deviation of the table
Sources & refences :
Big thank to www.pinecoders.com and kodify.net
Standard deviation :
www.investopedia.com
function to find 'k' closest elements :
www.techiedelight.com
Interactive support resistance :
Divergence for many indicators:
Auto fib level by DGT:
www.tradingview.com
RSI ZonesThis is a combination of a couple ideas I saw on here. The result is from three configurable EMA smoothed RSI overbought/oversold zones. The default is set to Donchian Channel mode where the highs/lows of the RSI's are plotted. An optional basis line derived from the slowest RSI is also included. Toggling this mode off gives you different results.
You'll want to play with different lengths for your own preferences and to see what works best for you.
Being able to see price bounce between these zones should hopefully give you some ideas on how you could potentially use this.
Credit to LazyBear for the initial idea.
STDV Extension Zones from Daily Open - OnlyFlowSTDV Extension Zones from Daily Open
This indicator plots standard deviation extension zones based on the current day’s opening price. At the start of each trading day, it calculates the daily standard deviation using a configurable lookback and projects price zones at ±0.5 and ±1.0 standard deviations above and below the daily open.
Each zone is displayed as a horizontal band with a center line and a customizable thickness, extending forward throughout the session. Zones automatically reset and lock in place when a new day begins, preserving prior sessions for historical context.
The indicator is designed to visually highlight statistically significant price extensions relative to the daily open, helping users quickly identify areas where price may be stretched, balanced, or reacting around volatility-based levels.
Gap Tracker Indicator v5Gap Tracker Indicator - Description
Purpose: The Gap Tracker identifies price gaps on charts and visualizes unfilled gap zones that may act as future support/resistance levels.
What it shows:
Gap zones as colored rectangles:
Red boxes = bearish gaps (price gapped down, leaving unfilled space above)
Green boxes = bullish gaps (price gapped up, leaving unfilled space below)
How gaps form:
A gap occurs when the opening price of one candle is significantly different from the closing price of the previous candle
Common after weekends, holidays, or major news events when markets are closed
Gaps create "empty" price zones with no trading activity
Trading significance:
Many traders believe gaps tend to "fill" eventually (price returns to the gap zone)
Unfilled gaps can act as magnetic levels - price often revisits them
Gap zones may provide support (bullish gaps) or resistance (bearish gaps)
On your chart:
Multiple red boxes show unfilled bearish gaps where price gapped down
Green boxes show unfilled bullish gaps where price gapped up
The indicator tracks these zones until price fills them completely
Right side shows "GAP TRACKER" panel with active gaps: Aktywne (2), Zamknięte (9), Zakres 7d (168)
Key insight: The concentration of unfilled gaps suggests potential magnetic zones where price may return for "gap fill" trades. Traders often use these levels for entries, exits, or stop placement.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.
ATR Price ZoneThe ATR Price Zone is an indicator which takes the Daily Average True Range of a stock and shows how high and low the price of the stock could possibly go from the opening price.
Key features:
The ATR Price Zone is an indicator which takes the Daily Average True Range of a stock and shows how high and low the priced the stock could possibly go from the opening price.
Key features:
ATR Price Zone uses zones looking forward to help strategize possible movements in price.
This indicator is customizable with zones, horizontal lines, a quick reference chart and colors.
The indicator continues to move forward with the chart.
It references the Daily True Average Range regardless of which Time Frame you are using.
It also references the opening candle with a blue arrow when using less than daily time frames.
Create by BothwellTrader
TZ - India VIX Volatility ZonesTZ – India VIX Volatility Zones is a long-term volatility analysis indicator designed to visually map important India VIX regimes using clearly defined horizontal zones and labels.
The indicator highlights how market volatility cycles between complacency, normal conditions, elevated risk, and panic phases. These zones are based on historical behavior of India VIX and help traders understand when risk is underpriced or overstretched.
This tool is especially useful for:
Index traders
Options sellers and buyers
Risk management and regime filtering
Long-term volatility study
How It Works
The script plots static, historically significant volatility zones on the India VIX chart and visually separates them using shaded bands and labels.
Volatility Zones Explained
1.Extreme Low Volatility (VIX 8–10)
Indicates market complacency and underpriced risk. Often precedes volatility expansion.
2.Low Volatility (VIX 10–13)
Stable market conditions with controlled movement.
3.Normal Volatility (VIX 13–18)
Healthy market behavior and balanced risk.
4.High Volatility (VIX 18–25)
Rising uncertainty and increased intraday swings.
5.Panic Zone (VIX 25–35+)
High fear environment, usually during major events or crises.
How Traders Can Use This Indicator
Identify volatility regimes before choosing option strategies
Avoid aggressive short-volatility trades during extreme zones
Prepare for volatility expansion during low-VIX phases
Use as a market risk context tool alongside price action
This indicator does not provide buy/sell signals. It is designed for contextual analysis and decision support.
Best Usage
Apply on India VIX (NSE:INDIAVIX)
Works best on Weekly and Monthly timeframes
Can be combined with index charts for volatility-based risk assessment
Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice or trade recommendations.
Users should apply proper risk management and confirm signals using additional analysis.
