Price Label with Custom SymbolsThis Indicator plots a label with RSI, Current price of the selected chart symbol, Net change and percent change, VIX at previous day close, Current VIX and some Market helpers like ES, DXY, CL, TICK, ADD and VOLD. You can replace the symbols for your favorites.
Statistics
Sat Stacking Strategies Simulation (SSSS)Sat Stacking Strategies Simulation (SSSS)
This indicator simulates and compares different Bitcoin stacking strategies over time, allowing you to visualize performance, cost basis, and stacking behavior directly on your chart.
Core Features:
Three Stacking Strategies
• Trend-Based – Stack only when price is above/below a long-term SMA.
• Stack the Dip – Buy during sharp pullbacks or oversold conditions.
• Price Zone – Stack only in “cheap”, “fair”, or “expensive” zones based on a simulated Short-Term Holder (STH) cost basis.
Always Stack Benchmark
Compare your chosen strategy against a simple “Always Stack” approach for a real-world DCA reference.
Performance Metrics Table
Track:
• Total Fiat Added
• Total BTC Accumulated
• Current Value
• Average Cost per BTC
• PnL %
• CAGR
• Sharpe Ratio & Stdev
• Stack Events & Time Underwater
Advanced Options
• Simulate cash-secured puts on unused fiat.
• Simulate covered calls on BTC holdings.
• Roll over unused stacking amounts for future buys.
This tool is designed for Bitcoiners, stackers, and DCA enthusiasts who want to backtest and visualize their stacking plan—whether you keep it simple or go full quant.
Sometimes the best alpha is just showing up every week with your wallet open… and occasionally wearing a helmet. 🪖💰
Liquidity Hunter V2 Liquidity Hunter is a powerful swing-based tool designed to help traders visualize where liquidity is likely resting in the market. It automatically detects significant swing highs and lows using customizable left/right bar settings and highlights these levels with lines, boxes, and optional labels.
The indicator is ideal for spotting:
Liquidity zones where stop hunts may occur
Swing points for potential reversals or breakouts
Extended levels that remain visible until price fills them
Volume-based filters to isolate more meaningful moves
Highly customizable visuals let you control how boxes, lines, and labels appear — including size, style, and colors — so you can adapt it to any charting style. A great addition for traders focusing on smart money concepts, liquidity grabs, or clean technical structure.
Crypto Options Greeks & Volatility Analyzer [BackQuant]Crypto Options Greeks & Volatility Analyzer
Overview
The Crypto Options Greeks & Volatility Analyzer is a comprehensive analytical tool that calculates Black-Scholes option Greeks up to the third order for Bitcoin and Ethereum options. It integrates implied volatility data from VOLMEX indices and provides multiple visualization layers for options risk analysis.
Quick Introduction to Options Trading
Options are financial derivatives that give the holder the right, but not the obligation, to buy or sell an underlying asset at a predetermined price (strike price) within a specific time period (expiration date). Understanding options requires grasping two fundamental concepts:
Call Options : Give the right to buy the underlying asset at the strike price. Calls increase in value when the underlying price rises above the strike price.
Put Options : Give the right to sell the underlying asset at the strike price. Puts increase in value when the underlying price falls below the strike price.
The Language of Options: Greeks
Options traders use "Greeks" - mathematical measures that describe how an option's price changes in response to various factors:
Delta : How much the option price moves for each $1 change in the underlying
Gamma : How fast delta changes as the underlying moves
Theta : Daily time decay - how much value erodes each day
Vega : Sensitivity to implied volatility changes
Rho : Sensitivity to interest rate changes
These Greeks are essential for understanding risk. Just as a pilot needs instruments to fly safely, options traders need Greeks to navigate market conditions and manage positions effectively.
Why Volatility Matters
Implied volatility (IV) represents the market's expectation of future price movement. High IV means:
Options are more expensive (higher premiums)
Market expects larger price swings
Better for option sellers
Low IV means:
Options are cheaper
Market expects smaller moves
Better for option buyers
This indicator helps you visualize and quantify these critical concepts in real-time.
Back to the Indicator
Key Features & Components
1. Complete Greeks Calculations
The indicator computes all standard Greeks using the Black-Scholes-Merton model adapted for cryptocurrency markets:
First Order Greeks:
Delta (Δ) : Measures the rate of change of option price with respect to underlying price movement. Ranges from 0 to 1 for calls and -1 to 0 for puts.
Vega (ν) : Sensitivity to implied volatility changes, expressed as price change per 1% change in IV.
Theta (Θ) : Time decay measured in dollars per day, showing how much value erodes with each passing day.
Rho (ρ) : Interest rate sensitivity, measuring price change per 1% change in risk-free rate.
Second Order Greeks:
Gamma (Γ) : Rate of change of delta with respect to underlying price, indicating how quickly delta will change.
Vanna : Cross-derivative measuring delta's sensitivity to volatility changes and vega's sensitivity to price changes.
Charm : Delta decay over time, showing how delta changes as expiration approaches.
Vomma (Volga) : Vega's sensitivity to volatility changes, important for volatility trading strategies.
Third Order Greeks:
Speed : Rate of change of gamma with respect to underlying price (∂Γ/∂S).
Zomma : Gamma's sensitivity to volatility changes (∂Γ/∂σ).
Color : Gamma decay over time (∂Γ/∂T).
Ultima : Third-order volatility sensitivity (∂²ν/∂σ²).
2. Implied Volatility Analysis
The indicator includes a sophisticated IV ranking system that analyzes current implied volatility relative to its recent history:
IV Rank : Percentile ranking of current IV within its 30-day range (0-100%)
IV Percentile : Percentage of days in the lookback period where IV was lower than current
IV Regime Classification : Very Low, Low, High, or Very High
Color-Coded Headers : Visual indication of volatility regime in the Greeks table
Trading regime suggestions based on IV rank:
IV Rank > 75%: "Favor selling options" (high premium environment)
IV Rank 50-75%: "Neutral / Sell spreads"
IV Rank 25-50%: "Neutral / Buy spreads"
IV Rank < 25%: "Favor buying options" (low premium environment)
3. Gamma Zones Visualization
Gamma zones display horizontal price levels where gamma exposure is highest:
Purple horizontal lines indicate gamma concentration areas
Opacity scaling : Darker shading represents higher gamma values
Percentage labels : Shows gamma intensity relative to ATM gamma
Customizable zones : 3-10 price levels can be analyzed
These zones are critical for understanding:
Pin risk around expiration
Potential for explosive price movements
Optimal strike selection for gamma trading
Market maker hedging flows
4. Probability Cones (Expected Move)
The probability cones project expected price ranges based on current implied volatility:
1 Standard Deviation (68% probability) : Shown with dashed green/red lines
2 Standard Deviations (95% probability) : Shown with dotted green/red lines
Time-scaled projection : Cones widen as expiration approaches
Lognormal distribution : Accounts for positive skew in asset prices
Applications:
Strike selection for credit spreads
Identifying high-probability profit zones
Setting realistic price targets
Risk management for undefined risk strategies
5. Breakeven Analysis
The indicator plots key price levels for options positions:
White line : Strike price
Green line : Call breakeven (Strike + Premium)
Red line : Put breakeven (Strike - Premium)
These levels update dynamically as option premiums change with market conditions.
6. Payoff Structure Visualization
Optional P&L labels display profit/loss at expiration for various price levels:
Shows P&L at -2 sigma, -1 sigma, ATM, +1 sigma, and +2 sigma price levels
Separate calculations for calls and puts
Helps visualize option payoff diagrams directly on the chart
Updates based on current option premiums
Configuration Options
Calculation Parameters
Asset Selection : BTC or ETH (limited by VOLMEX IV data availability)
Expiry Options : 1D, 7D, 14D, 30D, 60D, 90D, 180D
Strike Mode : ATM (uses current spot) or Custom (manual strike input)
Risk-Free Rate : Adjustable annual rate for discounting calculations
Display Settings
Greeks Display : Toggle first, second, and third-order Greeks independently
Visual Elements : Enable/disable probability cones, gamma zones, P&L labels
Table Customization : Position (6 options) and text size (4 sizes)
Price Levels : Show/hide strike and breakeven lines
Technical Implementation
Data Sources
Spot Prices : INDEX:BTCUSD and INDEX:ETHUSD for underlying prices
Implied Volatility : VOLMEX:BVIV (Bitcoin) and VOLMEX:EVIV (Ethereum) indices
Real-Time Updates : All calculations update with each price tick
Mathematical Framework
The indicator implements the full Black-Scholes-Merton model:
Standard normal distribution approximations using Abramowitz and Stegun method
Proper annualization factors (365-day year)
Continuous compounding for interest rate calculations
Lognormal price distribution assumptions
Alert Conditions
Four categories of automated alerts:
Price-Based : Underlying crossing strike price
Gamma-Based : 50% surge detection for explosive moves
Moneyness : Deep ITM alerts when |delta| > 0.9
Time/Volatility : Near expiration and vega spike warnings
Practical Applications
For Options Traders
Monitor all Greeks in real-time for active positions
Identify optimal entry/exit points using IV rank
Visualize risk through probability cones and gamma zones
Track time decay and plan rolls
For Volatility Traders
Compare IV across different expiries
Identify mean reversion opportunities
Monitor vega exposure across strikes
Track higher-order volatility sensitivities
Conclusion
The Crypto Options Greeks & Volatility Analyzer transforms complex mathematical models into actionable visual insights. By combining institutional-grade Greeks calculations with intuitive overlays like probability cones and gamma zones, it bridges the gap between theoretical options knowledge and practical trading application.
Whether you're:
A directional trader using options for leverage
A volatility trader capturing IV mean reversion
A hedger managing portfolio risk
Or simply learning about options mechanics
This tool provides the quantitative foundation needed for informed decision-making in cryptocurrency options markets.
Remember that options trading involves substantial risk and complexity. The Greeks and visualizations provided by this indicator are tools for analysis - they should be combined with proper risk management, position sizing, and a thorough understanding of options strategies.
As crypto options markets continue to mature and grow, having professional-grade analytics becomes increasingly important. This indicator ensures you're equipped with the same analytical capabilities used by institutional traders, adapted specifically for the unique characteristics of 24/7 cryptocurrency markets.
Stock I.Dshows information on a given stock for intra day trading
1. sector
2. industry
3. relative volume at time
4. relative volume
5. float
6. market cap
7. average true range(daily)
8. average volume (daily)
9. short float
10. earnings date
TRI - Quick Analysis"TRI - Quick Analysis" is a multi-indicator dashboard designed to give traders an immediate overview of market momentum, trend strength, volume flow, and volatility.
It visually summarizes key technical indicators in a compact table, including:
RSI (momentum)
MACD Histogram (trend momentum)
ADX + SuperTrend (trend strength & direction)
StochRSI (oversold/overbought)
CCI (price deviation)
CMF (volume flow)
MFI (volume-weighted momentum)
OBV (cumulative volume pressure)
ATR (volatility)
%B Bollinger (position within Bollinger Bands)
Each value is color-coded (green, red, blue) based on whether it's favorable, unfavorable, or neutral for a potential long position.
At the bottom of the table, a summary score dynamically aggregates signals from all indicators and provides a simple trading score.
This tool is designed for discretionary traders looking for a quick, color-coded insight into current market conditions without relying on a single signal.
Multi-Ticker TableMulti-Ticker Table
A customizable TradingView indicator that displays a clean, organized table of up to 10 user-defined ticker symbols with their current daily price, daily dollar change, and daily percentage change.
Key features include:
Enable/disable individual tickers with custom symbols
Customizable font sizes and colors for header and body rows
Customizable table background colors for header and data rows
Flexible table positioning anywhere on the chart (top/middle/bottom × left/center/right)
Highlights positive changes in green and negative changes in red for quick visual analysis
Hides chart candles to display the table as a standalone dashboard
Ideal for traders who want a quick, at-a-glance summary of multiple markets or instruments without cluttering the chart.
Kimchi PremiumKimchi Premium Indicator
Track the price difference between Korean cryptocurrency exchanges and global markets - a key metric for understanding regional market sentiment and arbitrage opportunities.
What is the Kimchi Premium?
The Kimchi Premium measures how much more (or less) cryptocurrencies trade on Korean exchanges compared to global exchanges. Named after Korea's famous fermented dish, this premium often reflects Korean retail investor sentiment and capital flow restrictions.
How It Works:
• Fetches prices from Korean exchanges (Upbit, Bithumb) in KRW
• Compares against global exchanges (Binance, Coinbase, Kraken, Bybit, OKX) in USD/USDT
• Automatically converts KRW to USD using Pepperstone's USD/KRW rate
• Calculates the premium as: (Korean Price USD - Global Price) / Global Price * 100
Visual Indicators:
• Green bars = Korean exchanges trading at a premium (more expensive)
• Red bars = Korean exchanges trading at a discount (cheaper)
• Histogram style with zero baseline for easy interpretation
Key Features:
• Exchange Selection: Choose individual Korean/global exchanges or averaged prices across multiple venues
• Display Options: View premium in percentage (%) or absolute dollar ($) terms
• Inverse Mode: Flip perspective to show global premium over Korean prices
• Moving Average: Smooth out noise with customizable MA period
• Live Table: Real-time premium display in top-right corner
• Auto-Detection: Works with any crypto pair on your chart (BTC, ETH, XRP, etc.)
Trading Applications:
• Sentiment Analysis: Extreme premiums (>5%) often signal Korean retail FOMO - potential reversal zones
• Arbitrage Identification: Large premiums/discounts highlight profit opportunities (consider logistics/capital controls)
• Regional Flow Tracking: Monitor capital movement into/out of Korean crypto markets
• Risk Management: Historical data shows massive premiums often coincide with local tops
Customization Options:
• Korean exchanges: Averaged out, Upbit, Bithumb
• Global exchanges: Averaged out, Binance, Coinbase, Kraken, Bybit, OKX
• Display format: Percentage or dollar amount
• Moving average toggle and period adjustment
• Table display on/off
• Inverse premium view
Pro Tips:
• Use "Averaged out" settings for most reliable data across multiple venues
• Watch for premium spikes above 3-5% as potential sentiment extremes
• Negative premiums can indicate Korean selling pressure or efficient arbitrage
• Combine with volume analysis for stronger signals
Hann Window FIR Filter Ribbon [BigBeluga]🔵 OVERVIEW
The Hann Window FIR Filter Ribbon is a trend-following visualization tool based on a family of FIR filters using the Hann window function. It plots a smooth and dynamic ribbon formed by six Hann filters of progressively increasing length. Gradient coloring and filled bands reveal trend direction and compression/expansion behavior. When short-term trend shifts occur (via filter crossover), it automatically anchors visual support/resistance zones at the nearest swing highs or lows.
🔵 CONCEPTS
Hann FIR Filter: A finite impulse response filter that uses a Hann (cosine-based) window for weighting past price values, resulting in a non-lag, ultra-smooth output.
hannFilter(length)=>
var float hann = na // Final filter output
float filt = 0
float coef = 0
for i = 1 to length
weight = 1 - math.cos(2 * math.pi * i / (length + 1))
filt += price * weight
coef += weight
hann := coef != 0 ? filt / coef : na
Ribbon Stack: The indicator plots 6 Hann FIR filters with increasing lengths, creating a smooth "ribbon" that adapts to price shifts and visually encodes volatility.
Gradient Coloring: Line colors and fill opacity between layers are dynamically adjusted based on the distance between the filters, showing momentum expansion or contraction.
Dynamic Swing Zones: When the shortest filter crosses its nearest neighbor, a swing high/low is located, and a triangle-style level is anchored and projected to the right.
Self-Extending Levels: These dynamic levels persist and extend until invalidated or replaced by a new opposite trend break.
🔵 FEATURES
Plots 6 Hann FIR filters with increasing lengths (controlled by Ribbon Size input).
Automatically colors each filter and the fill between them with smooth gradient transitions.
Detects trend shifts via filter crossover and anchors visual resistance (red) or support (green) zones.
Support/resistance zones are triangle-style bands built around recent swing highs/lows.
Levels auto-extend right and adapt in real time until invalidated by price action.
Ribbon responds smoothly to price and shows contraction or expansion behavior clearly.
No lag in crossover detection thanks to FIR architecture.
Adjustable sensitivity via Length and Ribbon Size inputs.
🔵 HOW TO USE
Use the ribbon gradient as a visual trend strength and smooth direction cue.
Watch for crossover of shortest filters as early trend change signals.
Monitor support/resistance zones as potential high-probability reaction points.
Combine with other tools like momentum or volume to confirm trend breaks.
Adjust ribbon thickness and length to suit your trading timeframe and volatility preference.
🔵 CONCLUSION
Hann Window FIR Filter Ribbon blends digital signal processing with trading logic to deliver a visually refined, non-lagging trend tool. The adaptive ribbon offers insight into momentum compression and release, while swing-based levels give structure to potential reversals. Ideal for traders who seek smooth trend detection with intelligent, auto-adaptive zone plotting.
Ultimate Position Sizer [FXLoneWolf]Ultimate Position Sizer is your all-in-one risk management tool built specifically for Forex, Commodities, Indices, and Cryptocurrency traders. Whether you're trading XAUUSD, NAS100, BTCUSDT, or DAX, this powerful indicator ensures precise and professional position sizing based on your capital, risk percentage, stop loss distance, and account leverage.
With real-time calculations and intuitive visuals, the tool helps you take control of your risk per trade — a cornerstone of professional trading discipline. From scalpers to swing traders, this tool adapts seamlessly to any asset class and trading strategy.
🔧 Key Features:
Works on all asset classes: Forex, Commodities (XAUUSD, USOIL), Indices (SPX500, US30), Crypto (BTC, ETH), and more.
Dynamic position size calculation based on stop loss, risk %, and leverage.
Auto-calculates lot size, risk in USD, and potential reward.
Visual trade metrics: SL, Entry, TP, and Risk:Reward labels.
Clean, intuitive UI with customizable inputs.
Supports both long and short positions.
Helps enforce professional risk management discipline.
Enhance your trading accuracy, protect your capital, and gain confidence with the Ultimate Position Sizer – trusted by disciplined traders worldwide.
Sample:
Random HTFRandom HTF is a powerful market structure overlay designed for intraday and swing traders who want to anchor their trades using high-probability zones, NFP alignment, and historical statistical edge.
🧠 Core Features
Weekly 5 EMA Anchor
Plots the weekly 5-period EMA and calculates custom upper/lower EMA zones (e.g., 2.5%–3%) to define optimal extension/reversion levels.
Session Box Framework
Automatically maps key opening sessions:
Sunday 6:00–7:30 PM ET (Asia open structure)
Tuesday 9:30–10:30 AM ET (often key pivot for the week)
Monthly Structure Levels
Prior Month High, Low, Mid, and 30% retracement (dynamic bullish/bearish logic)
Includes current month 30% level
Optional historical monthly lines for deeper confluence
Previous Week Levels
High, Low, 25%, 50%, 75% zones
Custom coloring, line styles, and penetration analysis with tables
NFP Mode (Non-Farm Payroll Smart Context)
Automatically detects NFP Fridays
Builds weekly/monthly boxes from that candle
Annotates whether price is above/below/inside NFP range
📊 Probability Engine (Optional)
Enable advanced stats to access:
Weekly penetration probabilities into custom EMA zones
Entry/completion rates for each zone
Median/mean/mode of weekly price extensions
Full day-of-week breakdown showing which days tend to hit/exceed your configured zone
Opening-position impact vs EMA (does the week open above or below?)
📐 Ideal Use Case
Trade intraday breakouts/reversions with awareness of higher timeframe stretch
Use EMAs + zones to frame when a move is extended or just beginning
Identify structural traps/fakeouts around NFPs, Tuesdays, or prior month levels
Quantify whether the market is operating in a compressed or expansive state
🔧 Customization
Full control over:
Time filtering (e.g., only analyze 9:30–16:00 ET)
EMA lengths and percentage bands
Zone styling (colors, labels, widths)
Whether to show current vs. historical levels
This tool blends HTF structure, macro calendar awareness, and quantified stretch behavior into a single overlay. Perfect for traders who want probabilistic alignment before entering intraday setups.
Futures Risk Contract TableFutures risk table for NQ MNQ YM MYM ES and MES
changeable capital and risk percentage along with points.
[iQ]PRO Quantum LagMan+ PRO Quantum LagMan+ (QLM+) — A Fusion Oscillator for Regime-Aware Entries
Overview
PRO Quantum LagMan+ is a next‑generation oscillator built for precision timing in dynamic markets. It blends advanced signal processing (multi-mode Laguerre smoothing) with physics-inspired analytics (Tsallis entropy, Hurst exponent, Lyapunov dynamics, and a tunneling probability model) to create a single fusion signal designed to adapt across regimes. The result is an actionable, regime-aware oscillator with adaptive thresholds, quantum energy band context, volatility gating, and optional trend filtering—complete with alerts, signal markers, and an information panel.
What it does
Normalizes momentum: Converts a Laguerre-based oscillator to a stable 0–1 scale for clear, cross-market comparability.
Maps “quantum” states: Assigns the oscillator to discrete energy bands to estimate state transitions and momentum intensity.
Fuses chaos and structure: Blends oscillator intensity, quantum momentum, and measured complexity/entropy into a single fusion line.
Filters by regime: Volatility and trend filters aim to suppress low-quality signals in quiet or unfavorable conditions.
Generates clean signals: Adaptive long/short thresholds with cooldown logic and coherence checks to reduce noise.
Explains itself: An info table displays fusion value, band index, entropy and chaos metrics, tunneling probability, and filter status.
Core components
Laguerre Multi-Mode Engine
Function: and1lag computes an ultimate smoother (ult), optional blended Laguerre filters, and a robust z-scored oscillator.
Control: period, lag, lagmode , RMSP add flexibility across timeframes and instruments.
Quantum Engine
Quantum Energy Levels: Discrete “bands” derived from normalized oscillator statistics.
Quantum Momentum: A 0–1 measure based on the current band position to capture intensity of state.
Coherence: Proximity between the oscillator and its active band (higher coherence = higher confidence).
Tunneling Probability: A barrier-like model that estimates the probability of a transition through local resistance/support structure.
Advanced Physics Layer (optional, heavy CPU)
Tsallis Entropy: A generalized entropy measure; elevated values can correspond to more complex or uncertain dynamics.
Lyapunov Exponent: A proxy for local sensitivity to initial conditions; higher values suggest chaotic/unstable behavior.
Hurst Exponent: A measure of persistence vs. mean reversion (H > 0.5 persistent, H < 0.5 mean-reverting).
These terms are summarized for trader context; the script uses bounded, practical implementations tuned for charting.
Fusion Oscillator
Composition: 50% normalized oscillator + 25% quantum momentum + 25% chaos/entropy blend.
Range: Constrained to for intuitive thresholds and consistent interpretation.
Regime Filters and Signals
Trend Filter: trendEMA with configurable trendLen to align signals with primary direction.
Volatility Filter: ATR-based gating with atrMultMin/atrMultMax bands, focusing on tradable volatility.
Adaptive Thresholds: Dynamic long/short thresholds scale with observed volatility.
Cooldown: signalCooldownBars limits rapid-fire signals to reduce whipsaw.
Alerts: Built-in alertcondition for automated notifications.
Visuals and UI
Main plots:
Fusion (thick, color-changing by state)
Norm Laguerre Osc (baseline momentum)
Quantum Momentum (band-based intensity)
Chaos Resonance (entropy/chaos contribution)
Bands and zones:
Quantum band visualization for context
Entropy zones via background shading (high/low extremes)
Info Table (showInfoTable):
Fusion, Quantum Band index, Hurst, Tsallis, Lyapunov, Tunneling Probability, Coherence, Volatility OK
Signal Markers:
Long: triangle up at bottoms
Short: triangle down at tops
Suggested usage
Entries:
Long bias when Fusion rises from low zones toward midline with high coherence, tunnel probability above threshold, trend filter positive, and volatility OK.
Short bias when Fusion falls from high zones with similar filter alignment and coherence.
Exits:
Consider scaling out near extremes (Fusion > 0.8 or < 0.2), during entropy spikes, or when coherence weakens.
Regime awareness:
Adjust trendLen for your timeframe.
Tighten atrMultMin to avoid low-vol chop.
Use adaptiveThresholds for cross-asset consistency.
Key inputs
Quantum Core: quantumLevels, planckConst, massDensity, tunnelThreshold
Advanced Physics: enableAdvanced, tsallisQ, lyapunovDim, entropyLength
Filters: useTrendFilter, trendLen, useVolFilter, atrLen, atrMultMin, atrMultMax
Signals: adaptiveThresholds, signalCooldownBars, showSignals
Display: showQuantumBands, showComponents, showEntropyZones, showInfoTable
Lag Options: source, period, lag, lagmode, RMSP
One glance clarity: A single Fusion line encapsulates momentum, state, and complexity.
Regime-adaptive: Thresholds and filters tune to volatility and trend.
Signal discipline: Coherence and cooldown aim to reduce false triggers.
Transparent context: The info table tells you why a signal is firing, not just that it is.
Notes and best practices
Multi-timeframe confirmation is recommended for higher-conviction entries.
The Advanced Physics layer can be CPU heavy; disable it for lightweight scanning or enable for precision.
Optimize inputs per asset class and timeframe (crypto vs FX vs equities).
This is an analytical tool, not financial advice. Always validate with risk management.
Alerts
Hybrid QLF Long: triggers on qualified long conditions
Hybrid QLF Short: triggers on qualified short conditions
Attribution and license
Pine Script code is licensed under the Mozilla Public License 2.0.
© MarketMakerIQ
Quick start
Add to chart and enable showInfoTable to understand live readings.
Start with defaults; toggle useTrendFilter and useVolFilter to match your style.
If performance allows, enable Advanced Physics and tune tsallisQ, lyapunovDim, entropyLength.
Set alerts on the included conditions and forward-test across sessions.
Historical Data: 1H Edge NQ [Herman]Historical Data: 1H Edge NQ
This Pine Script indicator is designed to provide traders with visual tools and historical statistical insights for analyzing hourly price behavior on the Nasdaq-100 futures (NQ) contract.
It focuses on key concepts such as Opening Ranges (OR) and Trading Windows (TW), drawing from established trading principles like session-based ranges and return probabilities.
This unique indicator stands out by incorporating pre-computed statistics derived from over 4 years of 1-minute timeframe data, offering detailed hourly probabilistic insights in an editable sticky note format—making it a distinctive tool for in-depth analysis.
The goal is to help users visualize potential price dynamics and assess historical tendencies, enabling more informed decision-making based on past data patterns.
All calculations are based on historical price action, and the indicator does not make predictions or generate trading signals—it simply displays pre-computed statistics and visual aids for educational and analytical purposes.
Key Features and Visual ElementsVertical Lines for Time Sessions:
Orange Line - Opening Range Midline (50%)
Horizontal Dotted Lines - Opening Range High and Low
Solid Red Line - Midnight Open
Dashed Vertical lines - Opening range and trading window start/close times
Blue Dashed Line - Trading Window Candle Open
The indicator marks the start of the user-selected Opening Range (OR) and Trading Window (TW) with customizable vertical lines.
These represent the time periods where the OR is formed (e.g., 02:00-03:00 NY time) and where trading activity is observed (e.g., 03:00-04:00 NY time).
Users can adjust these sessions via inputs for flexibility across different hours.
-Horizontal Lines for Price Levels:Opening Range High and Low:
-Solid or dashed lines (customizable) show the high and low of the selected OR, extended horizontally to highlight potential support/resistance levels during the TW.
-50% OR Midpoint: An optional dashed line at the midpoint (50%) of the OR, which serves as a reference for mean reversion analysis.
-Trading Window Open Price: A line marking the open price at the start of the TW, useful for tracking returns to this level.
-Midnight Open (Red Line): A dedicated red horizontal line indicating the open price at midnight (00:00 NY time), which acts as a daily reference point for overnight price action.
Statistical Display via Sticky Note and Table:A customizable "Sticky Note" table displays pre-computed backtest results for the selected OR hour, including sections for combined results, above-midnight scenarios, and below-midnight scenarios. Content is user-editable via inputs.
A main info table shows session details, total historical sessions, and probabilities for returns (if enabled).
Customization Options: Users can toggle visuals, adjust colors, styles, widths, positions, and themes (light/dark). The indicator supports up to 500 lines/labels/boxes for historical drawing.
Logic and PrincipleThe indicator operates on a per-hour basis, treating each hour (0-23 NY time) as an independent "session" for analysis:Session Definition:
For any given hour (e.g., 02:00), the OR is the high/low range formed in that hour.
The TW is the subsequent hour where price action is tracked.
Tracking Price Action: During the TW, the script checks if price "sweeps" (crosses) the OR high or low. It then monitors for "returns"—instances where price crosses back to the TW open price or the 50% midpoint of the OR after a sweep.
Statistical Calculation: Probabilities are derived from historical counts:Total sessions: Number of historical days where data was available for that hour.
Return to TW Open: Percentage of sessions where, after sweeping OR high/low, price returned to the TW open (calculated as returns / total sessions with sweeps).
Return to 50% OR: Similar percentage for returning to the OR midpoint.
These are computed cumulatively across all historical bars loaded on the chart, resetting flags daily to ensure independence per session. No real-time predictions are made; stats accumulate from past data.
Midnight Open Integration: The red line resets daily at 00:00 NY, providing context for overnight gaps or continuations.
Breakout Origin: Scans recent bars for conditions where a breakout from OR occurs without opposite direction breach, drawing lines to the origin bar's open for visual reference.
The core principle is rooted in range-based analysis, a common technical approach where traders observe how price interacts with session highs/lows and midpoints.
By quantifying historical return rates after sweeps, the indicator highlights tendencies like mean reversion or continuation, but all insights are retrospective and depend on the loaded data.
Data Source and BacktestingThe statistical data embedded in the sticky notes (e.g., return percentages, sweep rates) was generated using Python in a Jupyter Notebook environment.
It analyzes approximately 1089 days (about 4 years) of 1-minute historical data for NQ futures, sourced BacktestMarket.
The backtests focused on NY time sessions, calculating metrics like:Sweep rates (e.g., first sweep high after above-midpoint open).
Return probabilities post-sweep.
Conditional splits (above/below midnight open).
These pre-computed values are hardcoded into the script via text areas for display, ensuring transparency.
Note: Historical performance is not indicative of future results; this is for analytical reference only.
Purpose and UsageThis indicator aims to assist traders in evaluating price direction potential by combining visual session markers with historical probabilities.
For example:If historical data shows a high probability of returning to the 50% OR after a sweep, it might suggest monitoring for mean reversion.
ES Gap Trading LevelsImproved closing time handling so that the gap is based on the last bar to capture the 3:59:59 closing price.
CCI Turbo Pro [CongTrader]📄 Full Description for Publishing — CCI Turbo Pro
⚡️ CCI Turbo Pro — Advanced CCI with Reversal Zones & Alerts
This advanced CCI (Commodity Channel Index) indicator is built for traders who want enhanced reversal signals, customizable extreme zones, and dynamic alerts. It improves the classic CCI with better visual cues and momentum filtering to help you avoid false signals.
🛠️ How to Use:
CCI Length (default = 20): Adjust based on your trading timeframe.
Overbought/Oversold Zones:
Overbought = 200
Oversold = -200
Extreme OB = 300 (red zone)
Extreme OS = -300 (green zone)
When the CCI crosses from below −200 → BUY signal
When the CCI crosses from above +200 → SELL signal
Background turns green/red in extreme zones
Optional labels show entry signals clearly
This indicator is useful for:
Reversal Trading
Momentum Shifts
Scalping, Swing, or Intraday strategies
Overbought/Oversold Confirmation
Works on:
Any asset (Crypto, Forex, Stocks, Indices)
Any timeframe
🔔 Alerts Included:
📈 CCI Buy Alert → CCI crossed up from oversold
📉 CCI Sell Alert → CCI crossed down from overbought
🚨 Extreme OB/OS Alert → CCI enters extreme reversal zone
Alerts help you stay informed even when away from the screen.
🔎 Keywords (for search discovery):
CCI, CCI Reversal, CCI Alert, Turbo CCI, Advanced CCI, CCI Zones, CCI Overbought, CCI Oversold, Momentum Reversal, CCI Scalping, CongTrader, CCI Buy Sell, Technical Indicator
🙏 Thank You
If this indicator adds value to your trading, please give it a 👍, leave a comment, or follow for more free tools from CongTrader. Your support helps independent creators grow the community.
⚠️ Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Use this tool with your own judgment and risk management. Past performance does not guarantee future results.
✍️ Created by CongTrader — Free, Open-Source Tools for Smarter Traders...
Z-Score Mean ReversionThe "Mean Reversion Z-Score" indicator is a statistical tool that helps traders identify potential price reversals by measuring how far the current price has deviated from its mean (average) in terms of standard deviations. Here's what it does:
Calculates the Z-score by comparing the current price to its moving average, then dividing by the standard deviation of prices over a specified period (default 14 periods).
Identifies when the price has moved too far from its mean, suggesting a potential reversion opportunity:
Values above +2 indicate overbought conditions (potential sell)
Values below -2 indicate oversold conditions (potential buy)
Generates clear visual signals:
Green triangle (▲) for buy signals when crossing above -2
Red triangle (▼) for sell signals when crossing below +2
Color-coded background for quick visual reference
Plots reference lines at ±1.5 and ±2.0 standard deviations to help gauge the strength of the current trend.
This indicator is particularly useful for range-bound markets and mean reversion trading strategies, helping traders spot potential entry and exit points based on statistical extremes.
Square-root Decay Volume ProfileThis indicator displays a custom price profile that mimics a volume profile using occurrence-based weighting rather than actual volume. It counts how often the selected price source (e.g., close) falls within each price bin over a lookback period. What makes it unique is the use of square-root time decay: more recent price occurrences are given greater importance, while older data is discounted proportionally to the inverse square root of its age.
Each bin's relative weight is visualized as a horizontal bar aligned to the right edge of the chart, showing where price has "spent time" more recently. This allows traders to identify areas of interest, balance zones, and potential support/resistance levels based on decayed price density.
Key Features:
Square-root decay weighting favors recent price action
Adjustable lookback period, bin count, and histogram width
Works with any price source (close, hl2, etc.)
Plots boxes directly on the chart for clear visualization
This tool is especially useful for discretionary traders seeking a price-centric alternative to traditional volume profiles, with an added emphasis on recency.
ALFA SNR-(FVG)The purpose of this indicator is to display border regions and FVGs together, so that it can be an alternative auxiliary code for those who trade borders, those who look at FVGs and those who follow liquidity.
Time Based Model (TDM)This indicator is based on TDM's Time-Based Model, designed primarily for trading indices during the New York session.
The Time-Based Model follows the DC framework with some key adjustments:
It focuses on the New York session time, specifically from 14:00 to 14:00 EST.
The model pulls time Fibonacci levels between these 14:00-to-14:00 periods to identify potential market turning points.
Additionally, it applies the time Fibonacci retracement again on the last two segments to refine timing analysis.
This approach helps traders anticipate when price action is more likely to react, based on time cycles rather than just price levels, improving timing precision within the NY session.
