Open Interest + Continuation/Discontinuation Patterns📈 Open Interest + Continuation/Discontinuation Patterns
This indicator analyzes Open Interest data to detect four key convergence/divergence patterns that signal potential trend continuation or reversal:
Buyer Continuation
Seller Continuation
Buyer Discontinuation
Seller Discontinuation
Each pattern is identified by comparing price action with Open Interest behavior, using pivot-based logic and ATR filtering for precision. When a valid pattern is detected, the indicator draws visual lines on the chart and triggers custom alert conditions for each type, enabling timely decision-making.
The Open Interest data is plotted as a candle-style oscillator, offering a clear view of momentum shifts. The detection logic is fully configurable, allowing users to adjust pivot sensitivity, lookback ranges, and ATR filters to suit different market conditions.
Key features:
🔍 Detects continuation and discontinuation patterns via convergence/divergence logic
🔔 Alerts for all four pattern types
🕯️ Candle-style visualization of Open Interest
⚙️ ATR-based filtering and pivot customization
Perfect for traders seeking to enhance their market timing using Open Interest dynamics and divergence-based signals.
Indikatoren und Strategien
UTM 共感覺 식스센스 차트UTM chart PropKorea chart done by UTM aming to identify where the pirce is now compared to market.
Delta Volume ReversalThis script displays Delta Volume-based reversal arrows by analyzing buying vs. selling volume from a lower timeframe. An up arrow appears when a red candle closes with dominant buying volume (bullish delta), while a down arrow appears on green candles with dominant selling volume (bearish delta). This highlights potential hidden strength or weakness in price action.
Credits:
Original from Delta Volume by SiddWolf — adapted and enhanced with reversal arrow visualization.
ADX Scanner with IndicatorsA screener that will allow you to enter up to 10 stocks. The goal is to see clearly in front of you what stocks are moving and the momentum leveraging the ADX and RSI. The return for the day shows the growth or loss of those moves.
ADX Scanner with IndicatorsA screener that will allow you to enter up to 10 stocks. The goal is to see clearly in front of you what stocks are moving and the momentum leveraging the ADX and RSI. The return for the day shows the growth or loss of those moves.
Gold Market Cap vs BTC Market Cap Ratio
What the script calculates
Gold market cap: XAUUSD spot price × total above-ground stock (converted to troy ounces) in trillions USD.
BTC market cap: Live data from TradingView's CRYPTOCAP:BTC symbol, which provides Bitcoin's circulating market cap (already in USD, converted to trillions here).
Ratio: Gold market cap ÷ BTC market cap (e.g., 1.0 means gold market cap equals BTC; 2.0 means gold is twice BTC's market cap)
Risk ModuleThis indicator provides a visual reference for position sizing and approximate stop and target placement. It supports trade planning by calculating equalized risk per trade and maintaining consistent exposure across different markets.
For more information about the concept, see the post Position Sizing and Risk Management .
Fixed Fractional Risk
The indicator calculates the number of shares that can be traded to maintain consistent monetary risk. The formula is based on the distance between the current price and stop reference, adjusting position size proportionally. A closer stop results in a larger position size, while a wider stop results in a smaller one.
Position Size = (Account Size × Risk %) ÷ (Entry Price – Stop Price)
Stop and Target
Stop placement is derived from volatility using the Average True Range (ATR). The target is plotted as a multiple of the stop distance, defining the risk-to-reward relationship in R units.
Stop = Price ± ATR × Multiplier
Target = Price ± (R × Risk Distance)
Chart Elements
The stop and target levels are plotted above and below the current price, with the stop marked by a red dot and the target by a green dot. The information table displayed on the chart shows the number of shares to trade, stop level, and target level.
Setup and Configuration
This configuration only needs to be set once, but can be adjusted later if preferred.
1. Start by setting the account size and risk percentage per trade to define the monetary amount risked on each trade. These values form the basis for position size calculation.
2. Set the ATR multiplier to determine stop distance, common values range between 1 and 3 ATR. Lower values place stops closer to price, increasing sensitivity but risking short-term noise. Higher values widen the stop, which reduces noise impact but extends time in risk.
3. Set the R-multiple to determine target distance relative to the stop. A value of 1 represents a 1:1 risk-to-reward relationship. Lower values reduce potential reward but tend to increase win rate, whereas higher values increase potential reward but tend to reduce win rate. The selection depends on system characteristics and trade expectancy.
When the parameters are defined, the indicator displays the stop, target, and calculated position size on the chart. All that remains is to enter the trade with the number of shares shown in the table and place bracket orders at the plotted stop and target levels.
Settings Overview
Account Size / Risk %: Defines account capital and per-trade exposure.
ATR Multiplier: Adjusts stop distance relative to volatility.
R Multiple: Sets target distance relative to stop (risk-reward ratio).
Position: Choose Long or Short direction.
Table Position: Controls information table placement and scale.
CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI)
Stoch RSINine indicators in one, CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI) You can use whichever of the nine indicators you want. I use CFM, CCI, MACD, Stoch RSI.
ATR StopThe Stoploss based on ATR indicator sets dynamic stop levels using market volatility measured by the Average True Range (ATR).
When volatility increases, the stop widens; when it decreases, the stop tightens.
Upper line = High + ATR × Multiplier → stop for shorts
Lower line = Low - ATR × Multiplier → stop for longs
Use
- Volatility-based stoploss: adjusts automatically to market conditions.
- Trailing stop: moves in the direction of the trend.
Timebender - Fractal CloseTimebender – Fractal Close displays which higher-timeframe candles (Daily, Weekly, Monthly) are scheduled to close within the next 24 hours — helping traders anticipate potential volatility and liquidity shifts around key session or higher-TF closes.
It automatically scans:
• Daily: 1D → 11D
• Weekly: 1W → 3W
• Monthly: 1M → 12M
The detected timeframes are shown in a compact on-chart table that can be positioned anywhere (top, middle, bottom — left, center, or right). You can also customize text color, background, and font size for visual clarity.
Use it to align intraday setups with higher-timeframe structure, or to prepare for major session transitions as multiple fractal closes converge.
Gamma Big Walls Regime Tel by Tradeorthe indicator shows put strikes and call strikes and the negative net gamma or positive after Inserting date manually, also it shows big walls
Super_Fibo_1.618Professional Fibonacci-based breakout indicator with automatic TP/SL calculation.
Features:
- Fibonacci extension levels (1.618, 2.618, 3.618)
- Automatic Take Profit and Stop Loss zones
- Real-time signal alerts
- Visual candle coloring
- Performance statistics dashboard
- Built-in license system
Perfect for swing and day trading on all timeframes.
Algo BOT 4.0 updated Strategy Description:
Algo BOT 4.0 updated is a sophisticated multi-timeframe trading strategy that identifies high-probability reversal points using technical confluence. The strategy combines:
Core Components:
Multi-timeframe Pivot Analysis: Daily, Weekly, and Monthly pivot points with CPR (Central Pivot Range)
RSI Momentum Filter: Higher timeframe RSI (user-configurable) for trend bias
VWAP Dynamics: Volume-weighted average price with moving averages
Fibonacci Strength Analysis: Candle close positions relative to 38.2% Fib levels
Advanced Cooldown System: Prevents overtrading with dynamic gap requirements
Entry Logic:
Long Entries: RSI < 57 with bullish candle structure at key support levels
Short Entries: RSI > 43 with bearish candle structure at key resistance levels
Zone-based Filtering: Identifies trades near significant pivot points (D PP, D R1, D S1, W PP, M PP, VWAP)
Risk Management:
Dynamic cooldown periods between trades
Gap-based entry optimization to ensure sufficient price movement
Extreme price tracking for better entry timing
Multi-condition validation to reduce false signals
Alert System:
Real-time alerts for both long and short entries
Includes price, RSI value, and zone information
Visual signals with triangle markers on chart
Comprehensive status monitoring with cooldown timer
D Money – EMA/TEMA Touch Strategy (Distance) What it’s trying to capture
You want mean-reversion “tags” back to a moving average after price has stretched away and momentum flips:
Bearish setup (short): price has been above EMA(9) for a few bars, then MACD turns bearish, and price is far enough above the EMA (by an adaptive threshold). Exit when price tags the EMA.
Bullish setup (long): price has been below your chosen TEMA rail (actually an EMA of 50/100/200 you pick) for a few bars, then MACD turns bullish, and price is far enough below that TEMA. Exit when price tags that TEMA.
The moving averages it uses
EMA(9) — your fast “tag” for short take-profits.
“TEMA line” input = one of EMA(50) / EMA(100) / EMA(200). (Labelled “Chosen TEMA” in the plot; it’s an EMA rail you pick.)
When it will enter trades
It requires four things per side:
Short (EMA-Touch Short)
MACD bearish cross on the signal bar
If “Require NO MA touch on cross bar” = true, the bar’s low must be above EMA(9), so it didn’t touch EMA on the cross bar (fake-out guard).
Extension/Context: you’ve had at least barsAbove consecutive closes above EMA(9) (default 3), so it’s truly stretched.
Distance test: absolute % distance from price to EMA(9) must be ≥ minDistEMA_eff (an adaptive threshold; details below).
Bounce filter: there was no bullish bounce off the EMA in the last bounceLookback bars (excluding the current one).
If all pass and you’re inside the backtest window → strategy.entry short.
Long (TEMA-Touch Long)
MACD bullish cross on the signal bar
With the same fake-out guard: the bar’s high must be below the chosen TEMA if the guard is on.
Extension/Context: at least barsAbove consecutive closes below the chosen TEMA.
Distance test: absolute % distance from price to TEMA must be ≥ minDistTEMA_eff (adaptive).
Bounce filter: there was no bearish bounce off the TEMA in the last bounceLookback bars.
If all pass and you’re in the window → strategy.entry long.
MACD timing option:
If Pure MACD Timing = ON, it only checks for the cross.
If OFF (default), it also enforces “no touch on the cross bar” if that checkbox is true. That’s your “fake-out” filter.
The adaptive distance threshold (the “secret sauce”)
You can choose how “far enough away” is determined—per side:
Fixed %
Short uses Fixed: Min distance ABOVE EMA (%)
Long uses Fixed: Min distance BELOW TEMA (%)
Auto (ATR%) (default)
Short threshold = max(floorEMA, kAtrShort × ATR%)
Long threshold = max(floorTEMA, kAtrLong × ATR%)
This scales distance by recent volatility, with a floor.
Auto (AvgDist%)
Short threshold = max(floorEMA, kAvgShort × average(|Dist to EMA|) over avgLen)
Long threshold = max(floorTEMA, kAvgLong × average(|Dist to TEMA|) over avgLen)
This adapts to the instrument’s typical stretch away from the rails.
These become minDistEMA_eff and minDistTEMA_eff and are re-computed each bar.
Fake-out / bounce logic (the “don’t get tricked” part)
A touch means the bar’s high/low overlapped the MA ± a small buffer % (touchBufPct).
A bounce is a touch plus a close on the “wrong” side (e.g., touch EMA and close above it on shorts = bullish bounce).
The script blocks entries if a bounce happened within bounceLookback bars (excluding the current signal bar).
Exits & risk
Take profit: when price touches the target MA:
Short TP = touch EMA(9)
Long TP = touch chosen TEMA
Stop loss: either
ATR stop: entry ± (atrMultStop × ATR) (default ON), or
Percent stop: entry × (1±stopPct%)
Time stop: if timeExitBars > 0, close after that many bars if still open.
Quality-of-life features
Backtest window (btFrom, btTo) so you can limit evaluation.
Labels on signal bars that show:
MACD bucket (Small/Moderate/HUGE/Violent — based on % separation on the bar),
the current absolute distance to the target MA,
and the effective minimum the engine used (plus which engine mode).
Data Window fields so you can audit:
abs distance to EMA/TEMA,
the effective min distance used on each side,
ATR%,
average absolute distances (for the AvgDist mode).
Alerts fire when a short/long signal is confirmed.
Optional debug panel to see the exact booleans & thresholds the bar had.
Quick mental model
Are we properly stretched away from the rail (by an adaptive threshold) and held on that side for a few bars?
Did MACD flip the way we want without price already tagging the rail that bar?
Have we avoided recent bounces off that rail (no fake-out)?
→ If yes, enter and aim for a tag back to the rail, with ATR/% stop and optional time stop.
If you want, I can add a simple on-chart “rating” (0–100) similar to your Python scorer (distance beyond min, MACD bucket, extension streak) so you can visually rank signals in TradingView too.
Timebender - 90 Minute KillzonesTimebender – 90 Minute Killzones
This indicator divides each trading day into sixteen 90-minute blocks based on New York Time.
Each zone is color-coded by session:
🔴 Asian
🟢 London
🔵 New York AM
🟣 New York PM
It helps visualize recurring intraday rhythms and session overlaps without adding signals or bias.
Includes an optional Daily Close Line (18:00 NYT) to mark the end of the trading day, now zoom-safe and toggleable.
Built for structure, clarity, and visual balance — nothing more, nothing less.
Real Relative Strength Breakout & BreakdownReal Relative Strength Breakout & Breakdown Indicator
What It Does
Identifies high-probability trading setups by combining:
Technical Breakouts/Breakdowns - Price breaking support/resistance zones
Real Relative Strength (RRS) - Volatility-adjusted performance vs benchmark (SPY)
Key Insight: The strongest signals occur when price action contradicts market direction—breakouts during market weakness or breakdowns during market strength show exceptional buying/selling pressure.
Real Relative Strength (RRS) Calculation
RRS measures outperformance/underperformance on a volatility-adjusted basis:
Power Index = (Benchmark Price Move) / (Benchmark ATR)
RRS = (Stock Price Move - Power Index × Stock ATR) / Stock ATR
RRS (smoothed) = 3-period SMA of RRS
Interpretation:
RRS > 0 = Relative Strength (outperforming)
RRS < 0 = Relative Weakness (underperforming)
Signal Types
🟢 Large Green Triangle (Premium Long)
Condition: Breakout + RRS > 0
Meaning: Stock breaking resistance WHILE outperforming benchmark
Best when: Market is weak but stock breaks out anyway = exceptional strength
Use: High-conviction long entries
🔵 Small Blue Triangle (Standard Breakout)
Condition: Breakout + RRS ≤ 0
Meaning: Breaking resistance but underperforming benchmark
Typical: "Rising tide lifts all boats" scenario during market rally
Use: Lower conviction—may just be following market
🟠 Large Orange Triangle (Premium Short)
Condition: Breakdown + RRS < 0
Meaning: Stock breaking support WHILE underperforming benchmark
Best when: Market is strong but stock breaks down anyway = severe weakness
Use: High-conviction short entries
🔴 Small Red Triangle (Standard Breakdown)
Condition: Breakdown + RRS ≥ 0
Meaning: Breaking support but outperforming benchmark
Typical: Stock falling less than market during selloff
Use: Lower conviction—may recover when market does
Why Large Triangles Matter
Large signals show divergence = genuine institutional flow:
Stock breaking out while market falls → Aggressive buying despite headwinds
Stock breaking down while market rallies → Aggressive selling despite tailwinds
These setups reveal where real conviction lies, not just momentum-following behavior.
Quick Settings
RRS: 12-period lookback, 3-bar smoothing, vs SPY
Breakouts: 5-period pivots, 200-bar lookback, 3% zone width, 2 minimum tests
AutoBiasProAuto Bias Indicator – Description
The Auto Bias Indicator is a custom technical analysis tool designed to automatically detect and display market bias based on multi-timeframe price action, liquidity, and session-based behavior. Its primary purpose is to help traders quickly identify whether the market is leaning toward bullish or bearish conditions, while providing additional confluence factors to support decision-making.
Core Functions
Automatic Bias Detection
Evaluates higher-timeframe (HTF) and lower-timeframe (LTF) structures.
Detects sweeps of liquidity (SSL/BSL), displacement, and continuation or reversal signals.
Highlights whether the current bias is aligned with bullish or bearish order flow.
Session & Killzone Integration
Works in conjunction with session boxes (Asia, London, New York).
Displays bias changes within active trading windows to capture intraday setups.
Liquidity & Expansion Logic
Identifies recent sweeps of highs/lows to show potential market intent.
Tracks expansion moves after consolidation, signaling momentum shifts.
Dashboard/Visual Output
Presents a bias table or dashboard summarizing HTF vs. LTF direction, risk-reward opportunities, and session status.
Color-coded visuals (e.g., green for bullish, red for bearish) make it easy to interpret at a glance.
Confluence with ICT-style Concepts
Incorporates Fair Value Gaps (FVG), Consolidation–Impulse–Shift–Displacement (CISD), and sweep history.
Designed to match modern liquidity-based trading frameworks.
Benefits
Objectivity: Removes guesswork by automating bias detection.
Multi-Timeframe Awareness: Keeps traders aligned with higher-timeframe structure while tracking intraday entries.
Risk Discipline: Pairs naturally with risk management modules, ensuring setups align with pre-defined rules.
Efficiency: Quickly highlights whether conditions favor longs or shorts without manual chart marking.
Gann Dynamic Levels [SmartFoxy]# 🌌 Gann Dynamic Levels
Gann Dynamic Levels is a dynamic Gann-based framework that calculates proportional and exponential levels using customizable methods — including planetary ratios.
Perfect for traders focused on cycles , ratios , and harmonic structures .
Inspired by the geometric and harmonic principles of W.D. Gann , this multifunctional tool automatically plots time–price projection levels based on user-defined anchor points.
It combines multiple calculation techniques to capture both linear and exponentia l market symmetries.
The indicator adapts dynamically to price movement, helping traders identify potential reversal zones , time clusters , and harmonic expansions derived from proportional and planetary relationships.
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## ⚙️ Core Features
Five Calculation Methods — Linear, ratio-based, geometric, and exponential spacing for multi-perspective analysis.
Planetary Scaling Mode — Optional mode based on astronomical distances (Titius–Bode Law), adding an astronomical dimension to level spacing.
Adaptive Offset Control — Shifts all projected levels left or right proportionally without changing their internal spacing.
Automatic Label Management — Dynamically updates or reuses labels for better clarity and improved chart performance.
Custom Styling — Full control over colors, widths, label positions, and line styles for each method.
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## 🌐 Purpose
Designed for traders who combine Gann theory , harmonic ratios , and cyclical timing to visualize equilibrium zones and future market symmetry.
Whether used for short-term timing or long-term structural projections, Gann Dynamic Levels provides an adaptive, geometry-based framework for interpreting market behavior.
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## 📘 How to Use
When first applied, the indicator prompts you to place two points on the chart — for example, at the start and end of a significant price range.
The indicator calculates the number of bars between these two points, known as Delta .
Delta serves as the base unit for all calculations in Methods #1–#5 .
The computed results are displayed in Table 1 , which can be toggled using the parameter “📱 Show Gann Levels Table”.
You can reset or reposition the initial points in two ways:
Drag the existing points to new positions on the chart.
Hover over the indicator name, click ⦁⦁⦁ (More) → select “ Reset Points ”, then set new reference points.
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## ⚙️ Method Logic
Classic – Evenly spaced levels based on the base Delta value. Ideal for identifying key support and resistance zones.
Coefficient (Coeff) – Scales Delta by fractional or whole-number coefficients for proportional level spacing.
Rounded – Rounds each calculated level to the nearest significant price value to align with major zones.
Subtractive – Generates levels by subtracting multiples of Delta from a reference point, emphasizing retracement-type structures.
Exponential – Applies an exponential growth model (10a = 4 + 3×2ⁿ) to project dynamic, non-linear level expansion.
Planetary – Uses the average distances of planets from the Sun (in Astronomical Units, AU ) as ratio multipliers to create harmonic projections.
Planetary distances can be customized in the user settings.
Data for Method #6 (Planetary) is displayed in Table 2 , toggled via “ 🪐 Show Planetary Table. ”
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## ➡️ Additional Feature
Offset – Shifts all Gann levels horizontally (left or right) without changing their spacing.
Useful for visually aligning levels with key market structures.
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### 🧭 Summary
A multi-method Gann framework combining geometric, harmonic, and planetary ratios for dynamic level projection and cycle analysis.
CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI)Eight normalized indicators are used in conjunction with the CMF, CCI, MACD, and Stoch RSI indicators. You can track buy and sell decisions by tracking swings. The zero line is for reversal tracking at -20, +20, +50, and +80. You can use any of the nine indicators individually or in combination.
Cross3x v2Cross3x – Smart Trend & Rejection Detection System
Cross3x is a precision trading indicator designed for traders who combine trend-following with early reversal detection. Built on a triple moving average core, it delivers high-quality signals with minimal noise and maximum clarity.
Core Features:
Trend Filtered Crossover: Uses a fast EMA (18), slow EMA (33), and long-term SMA (99) to generate reliable entry signals only in the direction of the dominant trend.
Dynamic SL/TP/BE Management:
Stop Loss placed at the lowest/highest extreme over a user-defined lookback.
Take Profit calculated using a customizable Risk/Reward ratio.
Break-Even level set as a percentage between entry and TP (e.g., 10% = BE just above entry).
Early Rejection Signals: Flags potential reversals when price tests a moving average with a long wick during a countertrend candle — ideal for spotting pullbacks before the next leg.
Green flag: "Potential Long Setup" after a bullish rejection.
Red flag: "Potential Short Setup" after a bearish rejection.
Confirmation Points: Circles appear when price retraces cleanly after a crossover, signaling optimal entry zones.
Interactive Dashboard: Real-time table showing current signal, SL, and TP levels.
Customizable Alerts: Fully configurable alerts for entries, confirmation points, and rejection setups.
Why Use Cross3x?
It doesn’t just follow trends — it anticipates them. By combining classical crossovers with smart rejection logic and structured risk management, Cross3x helps you enter earlier, manage risk better, and stay aligned with market momentum.
Perfect for swing traders, intraday scalpers, and algorithmic strategies seeking a clean, robust foundation.
Usage Tips:
Combine "Potential" flags with order blocks or key levels for higher accuracy.
Use confirmation circles as entry triggers after early setups.
Adjust RR and BE% based on volatility and trading style.
Deploy Cross3x to turn simple crossovers into a complete trading methodology.