Session Map! This indicator visually highlights the three main Forex trading sessions — Asia, London, and New York — as well as the Power Zone when London and New York overlap.
It also includes a bottom-center dashboard showing the current active session and the best Forex pairs to trade during that session.
Key Features 🚀
Session Background Shading
Asia Session → Aqua
London Session → Teal
New York Session → Blue
Power Zone (London + NY overlap) → Gold ⚡
Dynamic Dashboard (bottom-center)
Displays current active session
Shows best pairs to trade based on session liquidity
Optimized for Forex Trading
Know instantly when to trade and what to trade
Uses session-specific recommendations based on volatility windows
Why This Indicator is Useful
This isn’t just a session visualizer — it’s a trading assistant:
Helps you identify high-liquidity trading windows
Shows you which pairs are most active per session
Highlights the Power Zone ⚡ where volatility peaks
Volatility
ATR Dashboard (Pane Only)🔧 Core Logic
ATR Source: Multi-timeframe ATR (default 1H while trading 5m/15m).
Threshold Rule:
TREND = ATR > (ATR_SMA × k)
NORMAL = otherwise
Sessions: Only evaluates during London (02:00–07:00 ET) and New York (07:00–11:30 ET) by default.
Smoothing: ATR compared against its SMA (default 10-period).
k Multiplier: Controls sensitivity (default 1.20).
🖥️ Visuals
✅ TREND: Green label (or green background if enabled).
⚪ NORMAL: Gray label.
⏸️ OUT OF SESSION: Dim label, so you don’t force trades off-hours.
📊 Optional panel shows ATR, ATR_SMA, and Threshold values in real time.
📊 Dashboard + Overlay Combo
Use this overlay on your chart TF for tactical entries.
Pair with an ATR Dashboard (pane) on a higher TF (like 1H) for the strategic backdrop.
Overlay TREND + Dashboard TREND → High conviction trending environment.
Overlay TREND but Dashboard NORMAL → Fragile breakout, trade smaller or pass.
Both NORMAL → Chop/range → stick to 1:1.4 BE rules.
⚖️ Trading Playbook Integration
NORMAL Mode (ATR below threshold)
50% partial at 1R.
BE @ 1:1.4.
Runner capped at 2R.
TREND Mode (ATR above threshold)
50% partial at 1R.
BE @ 1:1.6.
Remainder trails ATR ×1.5.
Reserve ~15% of trend trades as no-partials for fat-tail home runs (4R–6R+).
🔔 Alerts
ATR Trend ON (in session) → “ATR > Threshold → Switch to TREND BE (1:1.6).”
ATR Trend OFF (in session) → “ATR ≤ Threshold → Switch to NORMAL BE (1:1.4).”
Perfect for getting pinged the moment volatility regime flips.
📌 Tips
k = 1.20 → balanced (default).
k = 1.10–1.15 → more TREND calls (sensitive).
k = 1.30+ → only strongest trends count.
Run it with overlay ON chart TF for execution, and dashboard on HTF for context.
Best used during active London/NY sessions.
✅ This isn’t a signal generator. It’s a regime filter + risk manager.
It keeps you from chasing chop and helps you mechanically switch BE rules without hesitation.
⚡ Pro tip: Combine with a Trend Continuation HUD, Elliott Wave Convergence overlay, or a Bollinger+RSI/MFI reversal scanner for a full tactical playbook.
Shock Detector: Price Jerk with Std-Dev BandsDetect sudden shocks in market behaviour
This indicator measures the jerk of price – the third derivative of price with respect to time (rate of change of acceleration). It highlights sudden accelerations and decelerations in price movement that are often invisible with standard momentum or volatility indicators.
Per-bar or time-scaled derivatives (choose whether calculations are based on bars or actual seconds).
Features
Log-price option for more stable readings across different price levels.
Optional smoothing with EMA to reduce noise.
Line or column view for flexible visualization.
Standard deviation bands (±1σ and ±2σ), centered either on zero or the rolling mean.
Auto window selection (1 day to 4 weeks), adaptive to chart timeframe.
Color-coded jerk: green for positive, red for negative.
Optional filled bands for easy visual context of normal vs. extreme jerk moves.
How to Use
Use jerk to identify sudden shifts in market dynamics, where price movement is not just changing direction but changing its acceleration.
Bands help highlight when jerk values are statistically unusual compared to recent history.
Combine with trend or momentum indicators for potential early warning of breakouts, reversals, or exhaustion.
Why it’s useful
Most indicators measure price, velocity (returns), or acceleration (momentum). This goes one step further to look at jerk, giving you a tool to spot “shock” movements in the market. By framing jerk within standard deviation bands, it’s easy to see whether current moves are ordinary or exceptional.
Developed with the assistance of ChatGPT (OpenAI).
ATR Trend Switch (ATR > k*ATR_SMA) - Overlay + Session Windows🔧 Core Logic
ATR Source: Multi-timeframe ATR (default 1H while trading 5m/15m).
Threshold Rule:
TREND = ATR > (ATR_SMA × k)
NORMAL = otherwise
Sessions: Only evaluates during London (02:00–07:00 ET) and New York (07:00–11:30 ET) by default.
Smoothing: ATR compared against its SMA (default 10-period).
k Multiplier: Controls sensitivity (default 1.20).
🖥️ Visuals
✅ TREND: Green label (or green background if enabled).
⚪ NORMAL: Gray label.
⏸️ OUT OF SESSION: Dim label, so you don’t force trades off-hours.
📊 Optional panel shows ATR, ATR_SMA, and Threshold values in real time.
📊 Dashboard + Overlay Combo
Use this overlay on your chart TF for tactical entries.
Pair with an ATR Dashboard (pane) on a higher TF (like 1H) for the strategic backdrop.
Overlay TREND + Dashboard TREND → High conviction trending environment.
Overlay TREND but Dashboard NORMAL → Fragile breakout, trade smaller or pass.
Both NORMAL → Chop/range → stick to 1:1.4 BE rules.
⚖️ Trading Playbook Integration
NORMAL Mode (ATR below threshold)
50% partial at 1R.
BE @ 1:1.4.
Runner capped at 2R.
TREND Mode (ATR above threshold)
50% partial at 1R.
BE @ 1:1.6.
Remainder trails ATR ×1.5.
Reserve ~15% of trend trades as no-partials for fat-tail home runs (4R–6R+).
🔔 Alerts
ATR Trend ON (in session) → “ATR > Threshold → Switch to TREND BE (1:1.6).”
ATR Trend OFF (in session) → “ATR ≤ Threshold → Switch to NORMAL BE (1:1.4).”
Perfect for getting pinged the moment volatility regime flips.
📌 Tips
k = 1.20 → balanced (default).
k = 1.10–1.15 → more TREND calls (sensitive).
k = 1.30+ → only strongest trends count.
Run it with overlay ON chart TF for execution, and dashboard on HTF for context.
Best used during active London/NY sessions.
✅ This isn’t a signal generator. It’s a regime filter + risk manager.
It keeps you from chasing chop and helps you mechanically switch BE rules without hesitation.
⚡ Pro tip: Combine with a Trend Continuation HUD, Elliott Wave Convergence overlay, or a Bollinger+RSI/MFI reversal scanner for a full tactical playbook.
Trend Continuation — Compact HUD Pane 🖥️ Trend Continuation HUD Panel — Multi-Factor Dashboard
This panel is your trend continuation command center ⚡. Instead of guessing which filters are in play, the HUD shows you a real-time checklist of up to 6 confluence filters — with clear ✔ and ✖ signals.
🔍 What it shows
Each row = one filter. Green ✔ means it’s passing in the trend direction, red ✖ means it’s failing, grey ✖ means neutral/inactive.
✔ Ichimoku (9/26/52/26) → Above/Below cloud + Tenkan/Kijun order
✔ MACD (12/26/9) → Histogram slope & zero-line alignment
✔ RSI / MFI (14) → Momentum ≥60 bull / ≤40 bear
✔ ADX (14) → Strength ≥20 and rising
✔ EMA Alignment (9/21/55/233) (optional) → Stack order confirms trend engine
✔ ATR Slope (14) (optional) → Expanding volatility filter
📊 Score Line (0–6 scale)
At the bottom of the HUD you’ll see a colored score plot:
🟢 5–6 = A-Grade Trend Environment → strongest continuation regimes
🟡 3–4 = Mixed Bag → wait for clarity
🔴 0–2 = Fail Zone → stay flat, no trend support
🎯 How to use it
Scan the HUD first → wait until Score ≥5 and most rows are ✔ green.
Then check Overlay labels/arrows → only take signals while HUD is green (trend environment confirmed).
Adjust strictness with minChecks:
• Normal Days → Score ≥4 acceptable (partial TP style).
• Trend Days → Demand Score ≥5 (stacked, high-conviction runs).
🧩 Best Practices
⏰ Focus on London & NY sessions (HUD grays out off-hours).
🔄 Keep the HUD & Overlay in sync (same EMA/ATR/session settings).
⚡ Use the HUD as your filter, Overlay as your trigger → keeps you aligned with your trading plan and risk model.
QAIS Advanced Liquidity Hunter [HYBRID ALERT]I Qais Shah from Kalmeshwar, Nagpur. Have Unlock Institutional-Grade Strategies with the Advanced Liquidity Hunter
This powerful indicator is designed for serious traders seeking to capitalize on the same market mechanics used by institutional players. The Advanced Liquidity Hunter identifies high-probability reversal setups by detecting key market events: Liquidity Sweeps, Fair Value Gaps (FVG), and RSI Divergence, all filtered through a multi-timeframe analysis for maximum confluence.
🔍 What This Indicator Does:
Detects Liquidity Sweeps: Finds precise moments where price aggressively sweeps beyond a recent swing high or low to trigger stop orders (liquidity) and then rejects back into the range—a classic sign of institutional activity.
Identifies Fair Value Gaps (FVG): Highlights imbalanced areas on the chart where price is likely to return, providing excellent entry zones.
Multi-Timeframe RSI Divergence: Confirms momentum shifts by analyzing divergence not just on your current chart, but also on the higher 1-hour timeframe for stronger, more reliable signals.
Volume Spike Confirmation: Ensures the move is validated by a significant increase in trading volume, separating genuine moves from false breakouts.
Smart Alert System: Sends direct alerts to your phone or email when a perfect confluence of conditions is met, so you never miss a setup.
⚙️ How to Use It:
This is a Hybrid Quant-Discretionary tool. It does the heavy lifting of scanning the markets 24/7, but it requires your expert discretion for final execution.
Wait for the Alert: The indicator will send an alert when a high-quality setup is detected.
Confirm on Higher Timeframe (HTF): Open the chart. Check that the signal aligns with a major HTF support/resistance level, trend, or order block.
Execute Your Plan: Manually enter the trade using the provided logic, ensuring you implement strict risk management (1-2% of capital per trade).
🎯 Ideal For:
Swing Traders and Day Traders looking for high-quality, high-probability entries.
Those who understand and trade based on market structure, liquidity, and order flow.
Traders who prefer a disciplined, alert-based system over emotional decision-making.
📊 Key Features:
Fully Customizable: Adjust all parameters (ATR multiplier, RSI length, volume spike) to fit your trading style and the current market volatility.
Clear Visuals: Easy-to-see triangles and crosses plot the exact entry points and liquidity sweeps directly on your chart.
Non-Repainting: The logic uses confirmed closing prices to ensure signals do not repaint.
Disclaimer: This tool is designed to identify high-probability opportunities, not guaranteed wins. Always practice proper risk management and backtest the strategy before using real capital. Past performance is not indicative of future results.
PCCE + False Breakout DetectorPCCE + False Breakout Detector
Type: Invite‑Only Indicator (closed source)
Purpose: Identify volatility compression (“coil”) and the first expansion after it, while filtering failed breakouts (bull/bear traps).
What it does — in plain language
This tool unifies two complementary behaviours that often appear back‑to‑back around strong moves:
1. Price Coil Compression & Expansion (PCCE) – finds compact ranges created by shrinking candle bodies, wick dominance, and contracting range relative to recent history. When price expands out of that coil with strength, it prints a Burst↑ / Burst↓ label.
2. False Breakout Detection – monitors recent swing extremes. If price closes beyond a prior high/low but re‑enters that range within a short window, it marks a trap (❌ red for failed bullish breakout, ❌ green for failed bearish breakout).
Why combine them?
PCCE tells you where the next move is likely brewing; the trap filter validates whether the breakout is genuine or failing. Used together they turn raw breakouts into structured, risk‑aware opportunities.
How it works — concepts behind the calculations
1) Detecting “Coil” (compression)
• Body contraction: Count of consecutive bars where |close-open| is decreasing within a sliding window.
• Wick dominance: Average (upper wick + lower wick) / body must exceed a threshold → indecision/liquidity probing.
• Relative range: Current high‑low over the window must be smaller than the average of prior windows (tight market).
• Coil zone: When the above conditions align, the most recent high/low envelope defines the coil’s bounds.
2) Confirming “Burst” (expansion)
A breakout through the coil high/low is only labelled when:
• Body thrust: current body > moving‑average body × multiplier (large real body).
• Relative volume: volume > moving‑average volume × multiplier (participation filter).
• Trend alignment (optional): close vs EMA to avoid counter‑trend bursts.
• Cooldown: minimum bars between signals to reduce clustering.
Result: Burst↑ if closing beyond coil high with thrust; Burst↓ if closing beyond coil low with thrust.
3) Flagging failed breakouts (traps)
• Track recent swing high/low from a lookback excluding the current bar.
• If a bar closes beyond that swing but within N bars price closes back inside the swing range → flag a trap:
• Bull trap: ❌ red above bar (break above failed)
• Bear trap: ❌ green below bar (break below failed)
⸻
What you see on the chart
• Coil zone: a shaded box (tight range envelope).
• Burst labels: Burst↑ (triangle up) and Burst↓ (triangle down) at confirmed expansion bars.
• Trap markers: ❌ red (failed bullish breakout), ❌ green (failed bearish breakout).
• Alerts: “Burst Up”, “Burst Down” (fires on bar close only).
⸻
How to use it
1. Preparation : When a coil box forms, mark the zone and wait.
2. Trigger : A Burst label confirms the first expansion with thrust/volume; treat it as an entry cue only within your own plan.
3. Validation : If a ❌ trap appears shortly after a break, treat it as caution/exit info; the breakout is failing.
4. Context : Best on 15m–4H. Combine with higher‑timeframe bias, nearby S/R, and risk controls.
5. Parameters to tune :
• Coil window, wick‑to‑body threshold, and range tightness
• Body/volume multipliers
• EMA trend filter on/off
• Trap lookback and confirmation bars
• Cooldown bars
⸻
Originality & usefulness
• Behaviour‑first compression scoring: Coil detection blends monotonic body shrink, wick dominance, and relative range contraction—not generic bands or a single oscillator.
• Two‑stage discipline: A burst is not just any break; it requires body thrust + relative volume (+ optional trend) to reduce noise.
• Immediate invalidation layer: The trap filter is evaluated right after the burst context, turning breakouts into risk‑aware signals rather than blind entries.
• Operator controls: Cooldown + multipliers let traders adapt the strictness to instrument/session behaviour.
⸻
Repainting & limitations
• Signals are evaluated on bar close; no lookahead, no request.security() with lookahead_on.
• Coil boxes while forming can update until confirmed; Burst/Trap labels do not repaint after their bar closes.
• News spikes and illiquid hours can still create noise; adjust multipliers and cooldown for your market.
⸻
Disclaimer
This indicator is an educational decision‑support tool, not financial advice. Markets are uncertain; past behaviour does not guarantee future results. Use with your own analysis and risk management.
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide
## Overview
The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments.
## How It Works
The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that:
- **High values (80+)** = Narrow channels = Low volatility = Squeeze
- **Low values (20-)** = Wide channels = High volatility = Expansion
## Key Parameters
### Core Settings
- **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels
- **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator
- **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100
### Threshold Levels
- **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions
- **Over Expansion (20)**: Values below this level indicate strong expansion conditions
## Reading the Indicator
### Color Coding
- **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating
- **Orange Line**: Neutral/trending condition with upward momentum
- **Green Line**: Expansion condition or downward momentum
### Visual Elements
- **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone
- **Gray Dotted Line (50)**: Middle line - neutral zone
- **Green Dashed Line (20)**: Expansion threshold - high volatility zone
- **Red Background**: Highlights active squeeze periods
## Trading Applications
### 1. Breakout Trading
- **Setup**: Wait for DSO to reach 80+ (squeeze zone)
- **Entry**: Look for breakouts when DSO starts declining from squeeze levels
- **Logic**: Prolonged low volatility often precedes significant price movements
### 2. Volatility Cycle Trading
- **Squeeze Phase**: DSO > 80 - Prepare for potential breakout
- **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout
- **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal
### 3. Trend Confirmation
- **Orange Color**: Suggests bullish momentum during expansion
- **Green Color**: Suggests bearish momentum or consolidation
- Use in conjunction with price action for trend confirmation
## Best Practices
### Timeframe Selection
- **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts
- **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise
- **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF
### Parameter Optimization
- **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10)
- **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity
- **Trending Markets**: Use longer normalization lookback (300-400)
### Signal Confirmation
Always combine DSO signals with:
- **Price Action**: Support/resistance levels, chart patterns
- **Volume**: Confirm breakouts with increasing volume
- **Other Indicators**: RSI, MACD, or momentum oscillators
## Alert System
The indicator includes built-in alerts for:
- **Squeeze Started**: When DSO crosses above the squeeze threshold
- **Expansion Started**: When DSO crosses below the expansion threshold
## Common Pitfalls to Avoid
1. **False Breakouts**: Don't trade every squeeze - wait for confirmation
2. **Parameter Over-optimization**: Stick to default settings initially
3. **Ignoring Market Context**: Consider overall market conditions and news
4. **Single Indicator Reliance**: Always use additional confirmation tools
## Advanced Tips
- Monitor squeeze duration - longer squeezes often lead to bigger moves
- Look for squeeze patterns at key support/resistance levels
- Use DSO divergences with price for potential reversal signals
- Combine with Bollinger Band squeezes for enhanced accuracy
## Conclusion
The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
Realized Volatility (StdDev of Returns, %)Realized Volatility (StdDev of Returns, %)
This indicator measures realized (historical) volatility by calculating the standard deviation of log returns over a user-defined lookback period. It helps traders and analysts observe how much the price has varied in the past, expressed as a percentage.
How it works:
Computes close-to-close logarithmic returns.
Calculates the standard deviation of these returns over the selected lookback window.
Provides three volatility measures:
Daily Volatility (%): Standard deviation over the chosen period.
Annualized Volatility (%): Scaled using the square root of the number of trading days per year (default = 250).
Horizon Volatility (%): Scaled to a custom horizon (default = 5 days, useful for short-term views).
Inputs:
Lookback Period: Number of bars used for volatility calculation.
Trading Days per Year: Used for annualizing volatility.
Horizon (days): Adjusts volatility to a shorter or longer time frame.
Notes:
This is a statistical measure of past volatility, not a forecasting tool.
If you change the scale to logarithmic, the indicator readibility improves.
It should be used for analysis in combination with other tools and not as a standalone signal.
Candlestick Pattern Reader + Cheat Sheet (Label Mode, Stable)Candlestick Pattern Reader is a practical tool for traders who want crystal-clear candlestick signals without memorizing mnemonics. It detects popular single-, double- and triple-bar patterns, prints full names directly on the chart, and (optionally) filters signals by trend using an EMA. It also provides a compact on-chart cheat-sheet reminder and alert conditions for every pattern.
What it Detects
Bullish patterns
Bullish Engulfing
Bullish Harami
Hammer (pin bar)
Morning Star (3-bar)
Piercing Line
Three White Soldiers
Bearish patterns
Bearish Engulfing
Bearish Harami
Shooting Star (inverted pin)
Evening Star (3-bar)
Dark Cloud Cover
Three Black Crows
Neutral / structure
Inside Bar
Outside Bar
Doji family: Doji, Dragonfly Doji, Gravestone Doji
Crypto note: Star patterns do not require gaps (they’re rare on 24/7 markets); logic uses body/positioning instead.
Key Features
Full-text labels: Clear, readable names (no abbreviations).
EMA Trend Filter (optional): Only show bullish patterns in uptrends and bearish in downtrends.
Bar-close confirmation (optional): Choose confirmed (stable) or intrabar (faster, can move during the live bar).
Sensitivity controls:
Min body % of range (filters tiny bodies)
Doji body % of range
Star (middle bar) small body %
Long-wick multiple for pins
Short wick % for Three Soldiers/Crows
Alerts: Individual alerts for every pattern plus an “Any Candlestick Pattern” aggregate alert.
Cheat-Sheet label: A small on-chart reference that explains each pattern’s usual meaning.
Inputs (most used)
Use EMA Trend Filter (on/off) and EMA Length
Only mark after bar close (on/off)
Sensitivity: minBodyPct, dojiPct, starSmallPct, wickBodyMult, shortWickPct
Display: toggle labels and the cheat-sheet
How to Use
Timeframe: Works on any TF. Many traders prefer 5–60m for active setups; 4H/D for swing confirmation.
Trend filter: Turn Use EMA Trend Filter = ON, EMA Length = 50 (or 100/200 for higher TFs).
Confirmation: For backtests and cleaner signals, set Only mark after bar close = ON.
Confluence: Pair with support/resistance, volume, or momentum (e.g., RSI/MACD) to avoid low-quality context.
Alerts: Add alerts on the specific patterns you trade most, or use Any Candlestick Pattern for discovery.
Alerts Provided
One alert per pattern (e.g., “Bullish Engulfing”, “Shooting Star”, etc.).
Any Candlestick Pattern — fires when any of the above triggers.
Notes & Limitations
No repaint when “Only mark after bar close” is on. Intrabar mode can shift until the bar closes.
Patterns represent price action context, not guaranteed outcomes. Always add risk management.
On very low timeframes, micro-noise increases false positives; use the trend filter and/or higher TF confluence.
Good Defaults
Use EMA Trend Filter: ON
EMA Length: 50
Only mark after bar close: ON
Wick multiple: 2.0
Doji body ≤: 10% of range
Tags
candlestick, price action, engulfing, harami, hammer, shooting star, doji, morning star, evening star, inside bar, outside bar, three white soldiers, three black crows, alerts, trend filter, EMA
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice, investment advice, trading advice, or any recommendation to buy or sell any security, cryptocurrency, or instrument. Trading involves risk. You are solely responsible for your own decisions and the outcomes of those decisions.
No guarantees: Past performance (including backtests) does not guarantee future results. Signals can fail, and losses can exceed initial capital, especially with leverage.
Model limits: Pattern detection is probabilistic and context-dependent. Market regimes, news events, gaps, and liquidity conditions can invalidate historical tendencies.
Repainting: With “Only mark after bar close” = ON, labels are final and do not repaint. In intrabar mode (OFF), labels may move or disappear until the bar closes.
Backtest caveats: Backtests may understate slippage, fees, funding, latency, and execution impact. Results can differ materially in live markets.
Do your own due diligence: Verify settings (timeframe, symbol, broker/venue filters) and test on paper before going live. Use appropriate position sizing, stops, and risk limits.
No liability: The author and publisher assume no responsibility for any direct or indirect loss arising from use of this script or any information contained herein.
By using this script, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities.
🔶 Advanced Statistical Normalization
Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions.
// Core EMA and Oscillator Calculation
ema_values = ta.ema(close, ema_period)
oscillator_values = close - ema_values
rolling_std = ta.stdev(oscillator_values, ema_period)
z_score = oscillator_values / rolling_std
🔶 Dual Threshold System
Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes.
// Statistical Thresholds
mild_threshold = 1.0 // ±1σ (68% confidence)
moderate_threshold = 2.0 // ±2σ (95% confidence)
extreme_threshold = 3.0 // ±3σ (99.7% confidence)
// Percentage-Based Dynamic Thresholds
osc_high = ta.highest(math.abs(z_score), lookback_period)
mild_pct_thresh = osc_high * (mild_pct / 100.0)
moderate_pct_thresh = osc_high * (moderate_pct / 100.0)
extreme_pct_thresh = osc_high * (extreme_pct / 100.0)
🔶 Signal Generation Framework
Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration.
// Extreme Signal Detection
sell_signal = ta.crossover(z_score, selected_extreme)
buy_signal = ta.crossunder(z_score, -selected_extreme)
// Dynamic Color Coding
signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought
z_score >= selected_moderate ? #ff6a6a : // Overbought
z_score >= selected_mild ? #b86456 : // Mildly Overbought
z_score > -selected_mild ? #a1a1a1 : // Neutral
z_score > -selected_moderate ? #01b844 : // Mildly Oversold
z_score > -selected_extreme ? #00ff66 : // Oversold
#00ff66 // Extremely Oversold
🔶 Visual Structure Analysis
Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing.
snapshot
4H
1D
🔶 Adaptive Threshold Selection
Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles.
🔶 Performance Optimization
Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options.
🔶 Market Oscillator Interpretation
Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches.
snapshot
🔶 Intelligent Signal Management
Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles.
Why Choose EMA Oscillator ?
This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
NY Session First 15m Range ORB Strategy first 15m high&low NY session
let you know the high and low of first 15m and the first candle is sitck out of the line you can ride on the wave to make moeny no bul OANDA:XAUUSD SP:SPX
Penguin TrendMeasures the volatility regime by comparing the upper Bollinger Band to the upper Keltner Channel and colors bars with a lightweight trend state. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and a selectable calculation timeframe. Default settings preserve the original look and behavior.
Penguin Trend visualizes expansion vs. compression in price action by comparing two classic volatility envelopes. It computes:
Diff% = (UpperBB − UpperKC) / UpperKC × 100
* Diff > 0: Bollinger Bands are wider than Keltner Channels -> expansion / momentum regime.
* Diff < 0: BB narrower than KC -> compression / squeeze regime.
A white “Average Difference” line smooths Diff% (default: SMA(5)) to help spot regime shifts.
Trend coloring (kept from original):
Bars are colored only when Diff > 0 to emphasize expansion phases. A lightweight trend engine defines four states using a fast/slow MA bias and a short “thrust” MA applied to ohlc4:
* Green: Bullish bias and thrust > fast MA (healthy upside thrust).
* Red: Bearish bias and thrust < fast MA (healthy downside thrust).
* Yellow: Bullish bias but thrust ≤ fast MA (pullback/weakness).
* Blue: Bearish bias but thrust ≥ fast MA (bear rally/short squeeze).
Note: By default, Blue renders as Yellow to preserve the original visual style. Enable “Use true BLUE color” if you prefer Aqua for Blue.
How it works (under the hood):
* Bollinger Bands (BB): Basis = selected MA of src (default SMA(20)). Width = StdDev × Mult (default 2.0).
* Keltner Channels (KC): Basis = selected MA of src (default SMA(20)). Width = ATR(kcATR) × Mult (defaults 20 and 2.0).
* Diff%: Safe division guards against division-by-zero.
* MA engine: You can choose SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Diff smoothing, and the trend components (VWAP is session-anchored).
* Calculation timeframe: Set “Calculation timeframe” to compute all internals on a chosen TF via request.security() while viewing any chart TF.
Inputs (key ones):
* Calculation timeframe: Empty = use chart TF; if set (e.g., 60), all internals compute on that TF.
* BB: Length, StdDev Mult, MA Type.
* KC: Basis Length, ATR Length, Multiplier, MA Type.
* Smoothing: Average Length & MA Type for the “Average Difference” line.
* Trend Engine: Fast/Slow lengths & MA type; Signal (kept for completeness); Thrust length & MA type (defaults replicate original behavior).
* Display: Paint bars only when Diff > 0; optional Zero line; optional true Blue color.
How to use:
1. Regime changes: Watch Diff% or Average Diff crossing 0. Above zero favors momentum/continuation setups; below zero suggests compression and potential breakout conditions.
2. State confirmation: Use bar colors to qualify expansion: Green/Red indicate expansion aligned with trend thrust; Yellow/Blue flag weaker/contrarian thrust during expansion.
3. Multi-timeframe analysis: Run calculations on a higher TF (e.g., H1/H4) while trading a lower TF chart to smooth noise.
Alerts:
* Diff crosses above/below 0.
* Average Diff crosses above/below 0.
* State changes: GREEN / RED / YELLOW / BLUE.
Notes & limitations:
* VWAP is session-anchored and best on intraday data. If not applicable on the selected calculation TF, the script automatically falls back to EMA.
* Default parameters (SMA(20) for BB/KC, multipliers 2.0, SMA(5) smoothing, trend logic and bar painting) preserve the original appearance.
Release notes:
v6.0 — Rewritten in Pine v6 with structured inputs and guards. Multi-MA support (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP). Calculation timeframe via request.security() for multi-TF workflows. Safe division; optional zero line; optional true Blue color. Original visuals and behavior preserved by default.
License / disclaimer:
© waranyu.trkm — MIT License. Educational use only; not financial advice.
Previous Days High & Low RTH Session by TenAM TraderPurpose:
This indicator plots the high and low levels of previous trading days’ Regular Trading Hours (RTH), helping traders identify key support and resistance zones based on historical price action.
How to Use / Strategy:
Designed as a super simple trading strategy:
Buy when price breaks above and confirms the previous day’s high.
Sell when price breaks below and confirms the previous day’s low.
Alerts notify you when price interacts with these levels, helping traders act on confirmed breakout opportunities rather than premature moves.
*Traders can also look for reversal opportunities if price breaks back through one of the levels.
Note: Make sure RTH (Regular Trading Hours) is turned on for the chart, as the indicator is based on RTH highs and lows.
Features:
Tracks previous days’ highs and lows.
Provides clear visual reference for support and resistance.
Simple, actionable strategy based on breakout confirmations and reversal plays.
Alerts for confirmed price breaks.
Disclaimer:
This indicator is for educational and informational purposes only. It does not provide financial advice. Trading involves risk, and past performance does not guarantee future results. Users trade at their own risk.
VWAP Bull/Bear KPL Navigator# Day Trading GPS VWAP Bull/Bear KPL Navigator
## Overview
The VWAP Bull/Bear KPL Navigator is an advanced market analysis tool that combines volume-weighted price analysis with standard deviation bands and daily projection levels to identify market conditions and potential trading opportunities. It features automatic session detection and its VWAP anchoring automatically adjusts to different market types (Stocks, ETFS, ADRS, Forex Currency Pairs, Forex CFDS, Futures, Cryptocurrencies, Indexes) for optimal performance.
## Key Components
### VWAP Bull/Bear KPL Line (Yellow)
- Acts as the primary reference point for market direction
- Adapts automatically to different market conditions and sessions
- Provides a dynamic measure of average price weighted by volume
### Standard Deviation Bands
1. **First Standard Deviation (Green)**
- Represents normal market volatility range
- Most common area for price movement
- Useful for identifying potential support/resistance
2. **Second Standard Deviation (Blue)**
- Indicates increased volatility
- Potential reversal zones
- Less common price territory
3. **Third Standard Deviation (Red)**
- Represents extreme market conditions
- Rare price territory
- Strong potential for mean reversion
### Daily Projection Levels
- Projects potential price levels based on daily range
- Automatically calculates levels using Average Daily Range (ADR)
- Displays up to 10 levels above and 10 levels below the daily open to accommodate low, moderate and extreme volatility conditions
- Each level can display:
- Level number (L1, L2, etc.)
- Level Price
- Hit count tracking
- Probability percentage
### Dashboard
- Displays real-time values for:
- Current date/time and symbol
- Price and VWAP Bull/Bear KPL level
- All standard deviation band levels
- Customizable position and appearance
## Trading Applications
### Market Analysis
1. **Trend Direction**:
- Price above VWAP Bull/Bear KPL line suggests bullish bias
- Price below VWAP Bull/Bear KPL line suggests bearish bias
- VWAP Bull/Bear KPL line slope indicates trend strength
2. **Volatility Assessment**:
- Distance between bands shows market volatility
- Expanding bands indicate increasing volatility
- Contracting bands suggest decreasing volatility
3. **Mean Reversion Opportunities**:
- Price moves to outer bands often return to VWAP Bull/Bear KPL
- Stronger reversal potential at higher deviation bands
- Band touches can signal potential entry points
4. **Daily Level Analysis**:
- Levels help understand expected daily price ranges
- Higher probability levels represent common price zones
- Lower probability levels suggest potential reversal zones
- Hit counts and probabilities are more accurate on higher timeframes
### Session Management
1. **Automatic Reset**:
- Automatically resets anchored VWAP for different market types each trading day
- Maintains accuracy across different sessions and market types
2. **Market Type VWAP Anchoring Optimization**:
- Automatically adjusts VWAP anchoring for optimal performance on different market types (Stocks, ETFS, ADRS, Forex Currency Pairs, Forex CFDS, Futures, Cryptocurrencies, Indexes)
## Best Practices
1. **Band Usage**:
- Use closer bands (1σ) for conservative entries
- Middle bands (2σ) for normal trading conditions
- Outer bands (3σ) for extreme conditions
- Consider band width for volatility assessment
2. **Signal Confirmation**:
- Look for price acceptance/rejection at bands
- Consider multiple timeframe analysis
- Watch for divergence between price and KPL
3. **Risk Management**:
- Wider stops in higher volatility conditions
- Tighter stops when bands are closer together
- Consider reducing position size at extreme bands
4. **Daily Level Usage**:
- Low probability levels suggest increased reversal potential: When price reaches levels with low historical hit rates (typically below 30%), this indicates an extreme move that often precedes a reversal. These zones represent price areas where the market has rarely sustained movement beyond.
- Consider taking profits as price approaches low probability levels: As your position moves into these extreme zones, it's prudent to begin scaling out or fully exiting your trades. The statistical rarity of these levels maintaining suggests increased risk of reversal.
- Look for reversal opportunities near low probability zones: These areas often present high-probability counter-trend trading opportunities. The market's tendency to mean-revert from extreme levels can provide favorable risk/reward setups for reversal trades.
- Use higher timeframes for more reliable probability data: Daily and higher timeframe probability calculations offer more statistically significant data due to reduced noise. This provides more reliable signals compared to shorter timeframe probability calculations.
- Consider exiting positions near extreme probability levels: When price reaches levels with very low probability scores (15% or less), this suggests an overextended move. These extreme zones often precede sharp reversals and increased volatility.
- Look for counter-trend entries near low probability zones: These areas can provide excellent opportunities for mean reversion trades. The statistical improbability of sustained movement beyond these levels often results in profitable counter-trend positions when combined with proper risk management.
## Settings Guidelines
### Line Settings
- VWAP Bull/Bear KPL Line: Adjust color and width for visibility
- Standard Deviation Bands: Customize appearance for each level
- Consider reducing opacity for clearer price action viewing
### Dashboard Configuration
- Position: Choose based on chart layout
- Text Size: Adjust for readability
- Colors: Customize for personal preference
- Background: Modify transparency as needed
## Disclaimer and Risk Warning
Trading financial markets carries substantial risk of loss and is not suitable for every investor. The performance of the VWAP Bull/Bear KPL Navigator indicator is not guaranteed and past performance does not indicate future results. The signals and information provided by this indicator should not be used as the sole basis for any investment decision.
Users of this indicator should:
- Understand that no indicator can predict market movements with certainty
- Never risk more capital than they can afford to lose
- Develop and follow a comprehensive trading plan and risk management strategy
- Consider seeking professional financial advice before trading
- Be aware that market conditions can change rapidly and without warning
- Understand that technical analysis tools are supplementary and not predictive
- Know that successful trading requires education, practice, and proper risk management
The creators and distributors of the Dynamic VWAP Bull/Bear KPL Navigator:
- Do not guarantee any specific trading results or profits
- Are not responsible for any trading decisions made using this indicator
- Make no claims about the indicator's future performance
- Cannot be held liable for any losses incurred while using this tool
By using the VWAP Bull/Bear KPL Navigator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
Vertical Line - Time SpecificIf you want to draw a vertical line at a certain time , you can use this Indicator - Work with 24 hr format
Auto S/R Zones — Pivots + MA Bands + Trendline Channels (No ExtWhat it is
An auto-updating Support/Resistance indicator that builds zones from:
Swing Pivots: clusters historical highs/lows into meaningful zones.
Dynamic MA Bands: 20/50/100/200 SMA with ATR-based bands that often act as S/R.
Trendline Channels: lightweight bands projected from the latest lower-highs (resistance) and higher-lows (support).
No external feeds needed. Works on any symbol/timeframe, designed with crypto intraday (e.g., BTCUSDT 5–15m) in mind.
How it works (tl;dr):
Detects pivot highs/lows (left/right = 5 by default).
Clusters nearby pivots using either ATR distance or % of price → forms zone centers.
Builds zone width from ATR (or %) and draws filled bands that extend right.
Plots 4 SMAs (20/50/100/200) and paints thin ATR bands around them (potential dynamic S/R).
Finds recent lower-high and higher-low structures and draws trendline bands with ATR padding.
Inputs you can tune
Pivot Left/Right: sensitivity of swing detection. Lower = more zones (noisier), higher = fewer/stronger zones.
Cluster Merge Distance: choose ATR-based or %-price merging; higher values = fewer but stronger zones.
Zone Width: ATR-based or %-price half-width.
Max Zones: cap how many zones show above/below current price.
MA Bands: toggle on/off; change SMA lengths; adjust ATR half-width.
Trendline Bands: toggle on/off; adjust ATR padding.
Suggested starting points
Scalping (5–15m):
Pivot L/R = 4–6
Merge = ATR × 0.5–0.7
Zone half-width = ATR × 0.25–0.4
MAs = 20/50/100/200, MA band = ATR × 0.2–0.3
Swing (1h–4h):
Pivot L/R = 6–10
Merge = ATR × 0.8–1.2
Zone half-width = ATR × 0.35–0.6
How to use
Look for reaction at the nearest zone(s): rejection, absorption, or clean break & retest.
Use MA bands for dynamic S/R in trend; trendline bands help frame channels.
Combine with your entry logic (momentum/structure) and clear risk management.
Notes & limitations
Indicator only (no orders). No repainting beyond the inherent pivot lookback.
The first few bars may show fewer zones until pivots accumulate.
Trendline bands are intentionally simple to stay light and real-time.
Changelog
v1.0: Initial public release (no external levels; defensive logic to avoid out-of-bounds on first bars).
Disclaimer
For educational purposes only. Not financial advice. Always test on your instrument/timeframe and use appropriate risk controls.
SAR Oscillator [Bellsz]Converts Parabolic SAR into a normalized oscillator with crossover signals, gradient fills, and trend strength levels. A cleaner way to read SAR momentum. Making it easier to read momentum shifts, trend strength, and reversals directly in the sub-chart. Instead of dots on price only, this tool converts SAR dynamics into a smooth oscillator that highlights bias and turning points.
What it shows
Normalized Price Line — scaled view of price relative to SAR.
Normalized SAR Line — SAR value normalized across the high/low range.
SAR Dots — visual cue when crossovers occur (potential reversal or trend acceleration).
Gradient Fill — color-coded background for quick read of momentum direction/intensity.
Guide Levels — ±50 baseline to track trend strength and overextension.
Why use it
Converts SAR into an oscillator format, easier to compare across instruments & timeframes.
Highlights momentum shifts early (crossovers, gradient flips).
Adds structure with gradient fill and baselines, making SAR more actionable than standard dot plots.
Works as a trend bias filter or confirmation tool alongside other indicators.
Inputs
Acceleration / Increment / Maximum — adjust SAR sensitivity.
Custom Colors — choose your scheme for price, SAR, and gradients.
Best practices
Use on intraday or swing TFs as a trend bias filter.
Look for Normalized Price crossing Normalized SAR as potential entry signals.
Watch how SAR dots cluster near ±100 for exhaustion or reversal signals.
Notes
This is a visual enhancement of SAR; it does not repaint.
Combine with volume, FVGs, or session models for added context.
🐋 Whale CareWhale Care 🐋
Indicator for detecting short signals based on the activity of large players ("whales"). Specifically designed for 5 to 15-minute timeframes.
Key Features
🎯 Clear visual signals - orange labels on the chart
📊 Signal strength histogram - measures the power of each signal
⚡ Instant alerts - notifications about large player activity
🏦 Dual filter - analyzes both banking and speculative capital
Optimal Usage
Timeframes: 5M, 10M, 15M
Markets: Stocks, forex, cryptocurrencies
Strategy: Short positions on signal appearance
Signal System
Entry: Orange "WHALE CARE" labels at price peaks
Confirmation: High histogram columns
Filter: Increased market volatility
Default Settings
Optimized for short-term trading:
Banker RSI: period 50
Hot Money: period 40
Volatility threshold: 4.0
Trader Advantages
Fast detection of large orders
Minimal signal delay
Simple visual interpretation
Customizable for individual trading style
A tool for trading decisions, not investment advice
signal heads-up_Bollinger
signal heads-up_Bollinger
Overview
signal heads-up & slow-trail combines Bollinger-based entries, a predictive Heads-Up (ETA) timer, multi-level TP1–TP5 zones, and a Slow-Trail stop engine that advances gradually to protect profits. It includes compact R/R HUD output and Text/JSON alerts for entries, TP/SL hits, and predictive events.
How it Works
1) Entry Logic (Bollinger)
Modes:
Revert Cross: fade back inside the bands (mean-reversion).
Cross Threshold: momentum/breakout style.
Gating & Safety:
Optional bar-close confirmation to reduce intrabar noise.
Trade Direction gating (Long/Short only).
Per-side cooldown (min bars between entries).
Optional filters (see below).
2) Quality Filters (optional)
HTF Trend Filter: EMA slope from a higher timeframe to favor trades aligned with trend.
BB Width Filter: Require Bollinger Band width (% of price) to lie within a min–max range, avoiding dead zones or extreme noise.
3) Heads-Up (ETA Prediction)
Estimates minutes to the next event by converting price velocity to per-minute terms and projecting distance to a target:
Outside Revert (entry): time to revert from outside band toward re-entry.
Nearest Band Touch: time to touch the closest band.
Basis Cross: time to cross the SMA basis.
Spike Heads-Up: detects when band width is compressed and starting to expand with directional tilt, projecting ETA to a “breakout-ready” width.
Heads-Up is predictive, not a guarantee; it updates each bar as volatility and velocity change.
4) TP Zones (TP1–TP5)
On a new signal, the script draws a ladder of up to 5 horizontal TP levels projected from the signal bar.
Zones can expire after N bars (optional).
The HUD shows R/R to TP1–TP5 for the currently active side.
5) Slow-Trail Stop (the signature)
A “glide, don’t jerk” trailing engine that advances the stop in fractions toward a dynamic target:
Move to BE on TP1: once TP1 is touched, the engine flags BE and eases the stop toward entry (no snap).
Follow TP for SL: after higher TPs hit (e.g., TP3), the stop trails to the previous TP (TP2).
Optional Chandelier Trail: blended into the target.
Pacing & Progress:
Move by fraction (slMoveFraction, e.g., 0.33).
Respect min bars between moves and a hold after moving.
Require ATR-based progress (slMinATRProgress) so the stop only advances when price meaningfully moves.
6) Alerts & HUD
Manual alerts: alertcondition() for BUY/SELL entries.
Auto alerts: alert() for Entry / TP / SL / Heads-Up / Spike with cooldown and optional one-TP-per-bar.
Formats: Text (mobile-friendly) or JSON (for bots/webhooks); optional ZoneID tagging.
HUD: compact table showing symbol/TF, last Entry & SL, R/R to TP1–TP5, alert mode, MaxHit per side, and color-coded HU/Spike lines (NOW / ~Xm).
Key Inputs (high level)
Strategy: Trade Direction, Entry Strategy.
Bollinger: Length, Multiplier.
Filters: HTF EMA slope (TF & length), BB width min/max %.
Stops: Mode (ATR× / Percent / Points), ATR length/mult, Slow-Trail pacing (fraction, min bars, ATR progress, hold), Move to BE on TP1, Follow TP for SL, optional Chandelier.
TP Zones: size multiplier, colors, label side/offset, expiry.
Heads-Up: lookahead minutes, velocity length, HU mode, compression threshold, slope length, directional tilt, NOW/SOON thresholds.
Alerts: manual/auto, JSON vs Text, cooldown, strict-touch, min bars between entries, ZoneID.
How to Use (step-by-step)
Attach & Name
Add the script and keep your preferred signal … title. The short name appears on the chart.
Pick Entry Style
Revert Cross for mean-reversion around bands.
Cross Threshold for momentum continuation.
Choose Risk Basis
Use ATR 14 × 1.5–2.0 as a sensible SL baseline. Enable Move SL→BE on TP1 and Follow TP for progressive protection. Keep slMoveFraction ≈ 0.3 to glide.
Tune Heads-Up
Start with Lookahead = 10 min, Velocity length = 14.
Mode Nearest Band Touch is a solid general default.
Keep Spike Heads-Up on to catch compress-then-expand phases.
Enable Filters (optional)
HTF EMA slope when you want trend alignment (e.g., HTF=60, EMA=50).
BB width filter to skip dead sessions or hyper-chop.
Set TP Ladder
Keep the default zone size multiplier; adjust if your instrument’s range is larger/smaller.
Use zone expiry to avoid stale ladders.
Create Alerts (TradingView)
Choose “Any alert() function call” and Once Per Bar Close if you use close-confirmation.
Pick JSON if you integrate with bots/webhooks; otherwise Text is phone-friendly.
Use cooldown and one-TP-per-bar to reduce noise.
Operate
Watch the HUD: HU line shows BUY/SELL NOW / ~Xm; Spike line hints imminent expansion.
When a signal triggers, TP1–TP5 draw and the Slow-Trail begins pacing the stop forward as price progresses.
Volatility Bands NGThe Volatility Bands indicator is a sophisticated trading system that combines adaptive filtering technology with volatility-based band mechanics to identify high-probability trading opportunities. At its core, this indicator employs an Adaptive Gaussian Filter that dynamically adjusts to market conditions, providing smoother and more responsive trend detection than traditional moving averages.
Credit at @BigBeluga for his work on gaussian bands.
Key Technologies & Features:
Adaptive Gaussian Filter: Uses a weighted Gaussian distribution that automatically adjusts its sigma parameter based on current market volatility, creating a self-optimizing smoothing mechanism
Integrated ATR Model: Combines traditional ATR with volume-adjusted and momentum-weighted true range calculations (90% ATR + 1% Volume-Adjusted TR + 9% Momentum-Weighted TR) for superior volatility measurement
Trend State Machine: Tracks trend direction, strength (0-100%), and duration using a sophisticated scoring algorithm that weighs momentum (40%), direction consistency (40%), and volatility normalization (20%)
Market Regime Detection: Automatically identifies whether the market is Trending, Choppy, or in Low Volatility mode
Squeeze Detection System: Identifies compression periods using Bollinger Bands vs Keltner Channels methodology, alerting to potential explosive moves
Multi-Factor Confirmation: Validates signals using volume spikes and Money Flow Index (MFI) to filter out false breakouts
Automatic Risk Management: Calculates real-time stop-loss and take-profit levels (2R and 3R) based on current volatility
Primary Trading Strategies:
1. Trend Following with Confirmations
Enter LONG when price crosses above the lower band (bullish trend line) with green arrows showing confirmations
Enter SHORT when price crosses below the upper band (bearish trend line) with red arrows showing confirmations
Look for "✓" symbol indicating both volume and momentum confirmation for highest probability trades
2. Squeeze Breakout Strategy
Monitor orange background highlighting (squeeze active)
Prepare for breakout when squeeze releases (orange diamond appears)
Combine with trend direction for directional bias
Best used in ranging markets transitioning to trending
3. Retest Entry Strategy (Enable "Show Retest Signals")
After initial trend signal, wait for price to pull back to the adaptive filter line
Enter on retest signals (secondary arrows) for better risk/reward
Particularly effective in strong trending markets
4. Market Regime Adaptation
Trending Regime: Use standard trend-following entries with wider stops
Chop Regime: Focus on squeeze plays and avoid trend signals
Low Vol Regime: Tighten stops and reduce position sizes
Risk Management Guidelines:
Use the automatically calculated Stop Loss levels displayed in the info table
Scale out at 2R and 3R take profit levels
Reduce position size when Trend Score < 50%
Increase position size on confirmed signals (✓) with Trend Score > 70%
Advanced Filtering:
Combine trend direction with Market Regime for optimal entries
Use MFI levels (default 40/60) to avoid overbought/oversold entries
Monitor "Duration" in the info table - fresh trends (< 10 bars) often have more momentum
⚡ TL;DR
BUY: Green arrow + price above blue line + trend score > 50%
SELL: Red arrow + price below blue line + trend score < 50%
Best Signals: Arrows with "✓" symbol (full confirmation)
Avoid: Signals during orange squeeze periods (wait for release)
Exit: Use table's stop-loss (red) and take-profit levels (green)
Optimal Settings (already defaulted):
Adaptive Period: ON
Adaptive Sigma: ON
Require Confirmation: ON
Show Squeeze: ON
The indicator does the heavy lifting - just follow the arrows with confirmations and respect the risk levels shown in the table. Works best on 15m+ timeframes for crypto and 1H+ for forex/stocks.
🎯 Pro Tip: The indicator shines in trending markets. When the info table shows "Trending" regime with 70%+ trend score, increase position confidence.
If you’ve found value in Oracle NG and would like to support further development, feel free to donate:
BTC: bc1q2n4up8wzgqdsw9j3dzcn5jaelddu52t7ahydy6
ETH: 0x9b72b42326836528cA608c90811487E5244D7744
AVAX C-Chain: 0x9b72b42326836528cA608c90811487E5244D7744
Alpha Spread Indicator Panel - [AlphaGroup.Live]Alpha Spread Indicator Panel –
This sub-panel plots the OLS spread between two assets, normalized into percent .
• Green area = spread above zero (Buy Leg1 / Sell Leg2)
• Red area = spread below zero (Sell Leg1 / Buy Leg2)
• The white line shows the exact % deviation of the spread from its fitted baseline
• Optional ±1% and ±2% guides give clear statistical thresholds
Because it’s expressed in percent relative to midprice , the scale remains consistent even if absolute prices change over years.
⚠️ Important: This panel is designed to be used together with the overlay chart:
👉 Alpha Spread Indicator Chart –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Want more institutional-grade setups? Get our 100 Trading Strategies eBook free at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Alpha Spread Indicator Chart - [AlphaGroup.Live]Alpha Spread Indicator Chart –
This overlay plots the two legs of a pair trade directly on the price chart .
• Leg1 is shown in teal
• Leg2 (fitted) is shown in orange
• The green/red filled area shows the distance (spread) between the two
The spread is calculated using OLS regression fitting , which keeps Leg2 scaled to Leg1 so the overlay always sticks to the chart’s price axis. When the fill turns green , the model suggests Buy Leg1 / Sell Leg2; when it turns red , it suggests Sell Leg1 / Buy Leg2.
Optional Z-Score bands help visualize statistical stretch from the mean.
⚠️ Important: To use this tool properly, you also need to install the companion script:
👉 Alpha Spread Indicator Panel –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Ready to take your trading further? Download our free eBook with 100 trading strategies at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Supertrend Infinite Signal by SanthoshThis SuperTrend generates signals on every candle. Use this for double super trend strategy to generate signals for Algo trade. (Eg for Double Super trend Strategy, 10:3 and 20:2)
