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.
Volatility
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.
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.
Volume Spikes + Daily VWAP SD BandsVolume Spikes + Daily VWAP SD Bands
This indicator combines volume spike detection to help traders identify potential absorption zones with daily VWAP and standard deviation bands , key price levels, continuation opportunities, and possible institutional bias.
Features:
Volume Spike Detection
Highlights candles with unusually high volume relative to a configurable SMA.
Optional filters:
Local highs/lows only (Only Use Valid Highs & Lows)
Candle shapes: Hammer / Shooter only
Candle color match: bullish spikes on green, bearish on red
Plots small circles above/below bars for bullish and bearish volume spikes.
Alerts available for both bullish and bearish spikes.
Interpretation: Volume spikes at local highs/lows can indicate absorption, where one side absorbs aggressive buying/selling pressure.
Daily VWAP
Calculates volume-weighted average price (VWAP) for the current day.
Optionally shows previous day’s VWAP for reference.
Plot lines are customizable with optional circles on lines for visual clarity.
Labels on the last bar show exact VWAP values.
Institutional Bias Insight: Price above both current and previous VWAPs may indicate bullish positioning; price below both VWAPs may indicate bearish positioning. Many professional traders consider this a clue to institutional bias, but it’s not guaranteed. Always confirm with volume, delta, or orderflow analysis.
Standard Deviation Bands
Optional x1 and x2 SD bands around the daily VWAP.
Visual fill between bands shows price volatility zones.
Can be used to identify potential support/resistance or absorption zones.
Use Case: Price bounces off first SD band may indicate continuation signals, especially when volume spikes occur at those levels.
Customizable Visuals
Colors for bullish and bearish volume spikes
VWAP and SD band colors and thickness
Optional circles and filled bands for better readability
Alerts
Bullish / Bearish Volume Spikes
Supports TradingView alert system for automated notifications
Advanced Use Cases:
Combine with Cumulative Delta or Orderflow tools to confirm true absorption zones.
Identify high-volume rejection candles signaling possible trend continuation.
Use VWAP positioning relative to price to assess potential institutional bias, keeping in mind it is probabilistic, not guaranteed.
Visualize intraday VWAP levels and volatility with SD bands for better trade timing.
Settings: Fully customizable, including volume multiplier, SMA length, session filter, candle shape, color options, and VWAP/SD display preferences.
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
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
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).
NY ORB (30m) + ATR CheckNY Open strategy
First candle at 30min NY Open @ 9:30
Mark high/low of that candle (ORB)
Make sure ATR is within 25% deviation +/-
If ATR is in harmony with the price difference of the first candle high/low
You trade the first candle close that closes above the candle high/low (ORB)
ORB Dashboard for the TFLX Strategy# ORB Range/ATR Dashboard - Technical Indicator Description
## Main Function
This indicator analyzes Opening Range Breakout (ORB) patterns by calculating a defined time period and its relation to historical volatility. The indicator combines multiple technical analysis methods and presents results in a configurable dashboard format.
**Purpose:** This indicator automates the manual calculation steps of the TFLX analysis methodology, providing real-time computation of volatility ratios, trend filters, and risk management parameters that would otherwise require manual calculation and monitoring.
## Requirements and Limitations
**Additional Indicator Required:** This dashboard indicator works in conjunction with a separate ORB range visualization indicator that displays the actual high/low range levels on the chart. The dashboard provides analysis and calculations, while the range indicator provides visual reference points.
**Important Notice:** This indicator serves as an analytical tool and calculation assistant for the TFLX methodology. It does not execute trades automatically but provides data analysis to support manual decision-making processes.
## TFLX Analysis Methodology Framework
### Core Analysis Rules (Discretionary Implementation)
**Primary Conditions:**
- Market position relative to neutral zones (BB analysis)
- Volatility range between 15-60% of ATR(3)
- News event screening (high-impact economic releases)
- Market session timing constraints (before calculated session end)
- US Bank Holiday considerations
**Exception Conditions:**
- High-impact news with rebreak patterns
- Reversal patterns during neutral market conditions
### Technical Specifications of the Methodology
**Range Definition:**
- Time Period: First 15 minutes after market open
- Measurement: High-Low range calculation
- Breakout Trigger: 5-minute close outside established range
**Volatility Analysis:**
- Formula: (Range Points / ATR(3) Previous Day) × 100
- Threshold Ranges:
- <15%: Below minimum threshold
- 15-20%: Low volatility range
- 25-30%: Moderate volatility range
- 30-40%: Good volatility range
- 40-50%: High volatility range
- 50-60%: Very high volatility range
- >60%: Above maximum threshold
**News Event Categories:**
- Major Events: NFP, CPI, PPI, FOMC releases
- Minor Events: All significant economic releases during market hours
- Impact Assessment: Market reaction analysis framework
**Trend Analysis Framework (1H Bollinger Bands):**
- Base Calculation: EMA(200) with standard deviation bands
- Reference Points: Market Open, ORB Close, Trigger Bar
- Decision Logic: 2 out of 3 reference points determine bias
- Zone Classifications:
- Within 0.5 multiplier: Neutral zone
- Within 1.5 multiplier: Directional bias zone
- Outside 1.5 multiplier: Strong directional zone
**Timing Constraints:**
- Session Window: Market open to calculated session end (typically 4.5 hours)
- Retracement Analysis: Maximum adverse movement before breakeven or stop loss
**Manual Calculation Process (Automated by Indicator):**
1. Measure range in points using chart measurement tools
2. Switch to daily timeframe
3. Set ATR period to 3
4. Extract previous day's ATR value
5. Calculate: (Range Points ÷ ATR Value) × 100
6. Apply percentage thresholds for analysis
## Core Components and Calculation Methods
### 1. Opening Range Calculation
**Data Source:** High/Low/Close prices of current timeframe
**Calculation:**
- Defines a configurable time period (default: 15 minutes)
- Collects during this period: `range_high = max(high)` and `range_low = min(low)`
- Calculates Range Size: `range_size = range_high - range_low`
- Stores the last close price of the period: `final_orb_close`
### 2. ATR (Average True Range) Integration
**Data Source:** Daily True Range values
**Calculation:**
```
daily_atr = ta.atr(length) // Default 3 periods
atr_yesterday = daily_atr // Previous trading day
```
**Available Methods:** RMA (default), SMA, EMA, WMA
### 3. Volatility Ratio Calculation
**Formula:**
```
ratio = (range_size / atr_yesterday) * 100
```
**Purpose:** Normalization of current range against historical volatility
**Configurable Parameters:** Min/Max thresholds (default: 15-60%)
### 4. Bollinger Bands Integration (1H Timeframe)
**Data Source:** 1-hour chart data via `request.security()`
**Calculation:**
```
bb_ema = ta.ema(close, 200) // 1H timeframe
bb_std = ta.stdev(close, 200) // 1H timeframe
bb_upper = bb_ema + (bb_std * multiplier)
bb_lower = bb_ema - (bb_std * multiplier)
```
**Configurable Multipliers:**
- Neutral Zone: 0.5x standard deviation
- Strong Zone: 1.5x standard deviation
### 5. Trend Filter System (2/3 Method)
**Components:**
1. **NY Open Signal:** Compares 1H open price with BB levels
2. **ORB Close Signal:** Compares final ORB close with BB levels
3. **Trigger Signal:** Compares breakout price with BB levels
**Logic:**
```
if (bullish_signals >= 2) → "BULLISH"
if (bearish_signals >= 2) → "BEARISH"
else → "MIXED" or "NO TREND"
```
## Component Interaction
### Trade Signal Generation
**Algorithm:**
```
trade_allowed = (orb_ratio >= min_threshold AND orb_ratio <= max_threshold)
AND (bb_signal != "NEUTRAL")
AND (trend_filter_result contains "BULLISH" OR "BEARISH")
```
### Risk Management Calculation
**Entry Points:**
- Long Entry: `range_high`
- Short Entry: `range_low`
**Stop Loss Calculation:**
```
sl_level = range_low + (range_size * sl_position_percent / 100)
```
**Take Profit Calculation:**
```
tp_distance = range_size * tp_factor_percent / 100
long_tp = long_entry + tp_distance
short_tp = short_entry - tp_distance
```
**Position Sizing (CFD-optimized):**
```
risk_per_contract = avg_risk_points * contract_value * lot_size
max_contracts = max_risk_amount / risk_per_contract
```
**Margin Calculation (CFDs):**
```
position_value = total_units * entry_price
margin_required = position_value / leverage
```
## Dashboard Elements
### 1. Volatility Filter Section
- **ORB Range:** Current range in points
- **ATR Previous:** Yesterday's ATR values
- **ORB Ratio:** Calculated ratio with color coding
### 2. Trend Filter Section
- **NY Open vs BB:** Position of 1H open relative to BB
- **ORB Close vs BB:** Position of ORB close relative to BB
- **Trigger Bar vs BB:** Position of breakout price relative to BB
- **Trend Result:** Summary of 2/3 filter
### 3. Risk Management Section (optional)
- **R/R Ratio:** Calculated from TP/SL distances
- **Risk per Lot:** Based on instrument type
- **Max Lot Packages:** Automatic position sizing calculation
- **Margin Required:** For CFD instruments
### 4. Journal Section (optional)
- **Breakout Timing:** Categorization by bars (1-3, 4-6, 7-9, 10-12, 13+)
- **Direction Tracking:** Bullish/Bearish breakout direction
- **Position Analysis:** Distance of breakout to ORB range
## Automatic Instrument Detection
**CFD/Index Treatment:**
```
if (syminfo.type == "cfd" OR syminfo.type == "index")
contract_value = 1.0 * cfd_lot_size
```
**Forex Treatment:**
```
if (syminfo.type == "forex")
contract_value = syminfo.pointvalue * cfd_lot_size
```
**Futures/Stocks:**
```
contract_value = syminfo.pointvalue
```
## Timezone Handling
- All time calculations based on configurable timezone
- Session End Time: ORB Start + 4.5 hours
- Automatic overflow handling for 24h format
## Alert System
**ORB Formation Alert:**
- Triggered upon completion of ORB period
- Includes: Range size, high/low values
**Breakout Alert:**
- Triggered on close price outside ORB range
- Includes: Direction, trade status based on filters
## Configuration Options
- **ORB Period:** Start/end time in hours/minutes
- **ATR Parameters:** Period and calculation method
- **Volatility Thresholds:** Min/max percentage limits
- **BB Parameters:** Period and multipliers
- **Risk Management:** Risk amount, SL/TP positions
- **Dashboard Layout:** Position, size, colors, visibility
## Data Integrity
- State variables with `var` declaration for persistence
- Daily reset of all relevant variables
- Lookahead bias prevention through `barmerge.lookahead_off`
- Multi-timeframe safety through `request.security()` functions
This technical implementation provides a comprehensive analysis framework for Opening Range Breakout patterns with integrated volatility, trend, and risk management components.
ICT Macro Time Window NYThis script highlights the typical ICT “macro” algorithm activity windows on your chart. It marks 10 minutes before to 10 minutes after each full hour, based on New York time (NY). The display is restricted to the 00:00 – 16:00 NY time range.
Overlay on chart with semi-transparent background
Automatically adjusts to the chart timeframe
Customizable: window start/end minutes, hours, and background color
Ideal for traders following ICT concepts to visually identify high-probability algorithm activity periods.
Easy Trend by ZuperviewEasy Trend, a trend indicator, gives you many key features as below:
Allow defining moving average with (11 popular moving averages)
Allow smoothing moving average
Allow applying a plot change filter, either before or after smoothing
Paint plot to clearly show uptrend vs downtrend
Paint chart background to clearly show uptrend vs downtrend
Trigger alerts on trend shift
Print markers on trend shift
Be NinjaScript ready for advanced usage, only restricted by your imagination
Expose dedicated NinjaScript signals
Elite indicatorElite Indicator – AI-Driven Signals for Profitable Trading in Stocks, Forex, and Crypto !
Unlock your trading potential with the Elite Indicator, your ultimate AI-powered trading companion for stocks, forex, and crypto markets. Designed to simplify your trading journey, this indicator delivers precise BUY/SELL signals directly on your chart, empowering you to trade with confidence across multiple timeframes, from 1-minute scalping to 1-day trading strategies.
Leverage the power of AI to identify high-probability trading opportunities, backed by rigorous backtesting and a proven high win-rate.
Join the ranks of traders who have transformed their strategies with Elite Indicator – where advanced technology meets user-friendly design. Elevate your trading game and stay ahead of the curve in today's fast-paced markets.
Transform Your Trading – Join the Elite! 🔥
Disclaimer: Trading involves inherent risks. Use this indicator as part of a broader risk management strategy and never invest more than you can afford to lose.
Kitti-Playbook ATR Study R0
Date : Aug 22 2025
Kitti-Playbook ATR Study R0
This is used to study the operation of the ATR Trailing Stop on the Long side, starting from the calculation of True Range.
1) Studying True Range Calculation
1.1) Specify the Bar graph you want to analyze for True Range.
Enable "Show Selected Price Bar" to locate the desired bar.
1.2) Enable/disable "Display True Range" in the Settings.
True Range is calculated as:
TR = Max (|H - L|, |H - Cp|, |Cp - L|)
• Show True Range:
Each color on the bar represents the maximum range value selected:
◦ |H - L| = Green
◦ |H - Cp| = Yellow
◦ |Cp - L| = Blue
• Show True Range on Selected Price Bar:
An arrow points to the range, and its color represents the maximum value chosen:
◦ |H - L| = Green
◦ |H - Cp| = Yellow
◦ |Cp - L| = Blue
• Show True Range Information Table:
Displays the actual values of |H - L|, |H - Cp|, and |Cp - L| from the selected bar.
2) Studying Average True Range (ATR)
2.1) Set the ATR Length in Settings.
Default value: ATR Length = 14
2.2) Enable/disable "Display Average True Range (RMA)" in Settings:
• Show ATR
• Show ATR Length from Selected Price Bar
(An arrow will point backward equal to the ATR Length)
3) Studying ATR Trailing
3.1) Set the ATR Multiplier in Settings.
Default value: ATR Multiply = 3
3.2) Enable/disable "Display ATR Trailing" in Settings:
• Show High Line
• Show ATR Bands
• Show ATR Trailing
4) Studying ATR Trailing Exit
(Occurs when the Close price crosses below the ATR Trailing line)
Enable/disable "Display ATR Trailing" in Settings:
• Show Close Line
• Show Exit Points
(Exit points are marked by an orange diamond symbol above the price bar)
Solar Wave by ninZa.coSolar Wave - trend indicator stands out with many key features to help traders enhance their trading, let's check below:
Plot "Trend Vector" that interprets trend direction (uptrend or downtrend) and trend strength (strong or weak)
Plot "Trailing Stop" for stop trailing management
Allow configuring "Trend Vector" and "Trailing Stop" with ninZaATR adjustment
Print trend steps and highlight step decreases to warn of trend weakness
Colorize bars based on 4 statuses: uptrend strong, uptrend weak, downtrend strong, downtrend weak
Colorize "Trend Vector" based on 4 statuses: uptrend strong, uptrend weak, downtrend strong, downtrend weak
Colorize "Trailing Stop" to clearly show uptrend vs downtrend
Paint background to clearly show uptrend vs downtrend
Trigger alerts on trend start, pullback, strengthening
Print markers on trend start, pullback, strengthening
Be NinjaScript ready for advanced usage, only restricted by your imagination
Expose dedicated NinjaScript signals
4 states of the markets (strong/weak uptrend, strong/weak downtrend) are displayed clearly with various visual signals to help you easily read: bar painting, plot colorization, background highlight.
The best signal of Solar Wave is PULLBACK. As you know, a trend rarely goes straight, but often retraces – which creates great opportunities for pullback trading. In Solar Wave, pullbacks are our recommended signals for entries. From our testing and experiences, the first and second pullbacks are usually the most reliable and optimal entries.
Cosmik Z-TP by ninZa.coWith Cosmik Z-TP - Trading System, you can:
Enter trades confidently with highly reliable signals.
Pinpoint where to place stops and profit targets with ease.
Enjoy high rewards while keeping the risks low in every trade.
Simplify your charts by kicking out 2, 3, or even 10 indicators.
Customize the system to your unique trading approach.
Get started with trading immediately.
Enhance the enjoyment of your daily trading with a user-friendly interface.
Identify the market's direction, spot signal zones, and make timely entry decisions.
Simplified signal mechanism:
During an uptrend, indicated by a green background and blue trailing stop, buy signals emerge within the blue signal zone.
During a downtrend, identified by a red background and pink trailing stop, sell signals emerge within the pink signal zone.
Advanced signal filter: You have the flexibility to control the quantity of signals within a trend phase or a range.
MagnetOsc Turbo by ninZa.coMagnetOsc Turbo - Multi-timeframe momentum analysis
Unlike conventional oscillators, MagnetOsc Turbo analyzes momentum on two independent timeframes simultaneously (e.g., 100-tick & 5-minute).
Why it matters: Momentum alignment across timeframes is a key signal of trend strength or turning points.
Easy Trend by ninZa.coEasy Trend, a NinjaTrader trend indicator, gives you many key features as below:
Allow defining moving average with (11 popular moving averages)
Allow smoothing moving average
Allow applying a plot change filter, either before or after smoothing
Paint plot to clearly show uptrend vs downtrend
Paint chart background to clearly show uptrend vs downtrend
Trigger alerts on trend shift
Print markers on trend shift
Be NinjaScript ready for advanced usage, only restricted by your imagination
Expose dedicated NinjaScript signals
