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.
Индикаторы и стратегии
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.
---
## ⚙️ 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.
---
## 🌐 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.
---
## 📘 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. ”
---
## ➡️ Additional Feature
Offset – Shifts all Gann levels horizontally (left or right) without changing their spacing.
Useful for visually aligning levels with key market structures.
---
### 🧭 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.
Trading SignalsThis script is designed to help identify high-probability trend reversal and continuation signals by combining moving average crossovers with momentum confirmation.
✨ How It Works:
EMA 200 — plots the 200-period Exponential Moving Average (EMA) of the closing price.
EMA-based SMA 200 — applies a 200-period Simple Moving Average (SMA) on top of the EMA values for smoother trend tracking.
Relative Strength Index (RSI) (Length 100) is used as a momentum filter to avoid false signals.
🟢 Buy Signal Conditions:
EMA 200 crosses above the EMA-based SMA 200.
RSI (100) is greater than 52, confirming bullish momentum.
🔴 Sell Signal Conditions:
EMA 200 crosses below the EMA-based SMA 200.
RSI (100) is less than 48, confirming bearish momentum.
Multi Length Market Structure (BoS + ChoCh)█ OVERVIEW
The "Multi Length Market Structure (BoS + ChoCh)" indicator is a technical analysis tool that identifies key pivot points on the chart and signals market structure breaks (Break of Structure - BoS) and changes in market character (Change of Character - ChoCh). It is designed for traders employing market structure-based strategies, enabling the identification of critical support and resistance levels and potential trend reversal points. The indicator offers flexible pivot length settings, customizable colors, and labels, ensuring clarity and precision on the chart.
█ CONCEPTS
The indicator was developed to simplify the identification of changes in market structure, catering to both short-term and longer-term trading strategies. To this end, it simultaneously displays breakouts for four editable pivot lengths. The lengths represent the delay, measured in the number of candles, after which a pivot is recognized. Pivots with larger values are often turning points on higher timeframes, providing a broader view of the market.
Why are BoS and ChoCh important? A Break of Structure (BoS) indicates trend continuation when the price breaks a key level (e.g., a previous high or low). A Change of Character (ChoCh) signals a potential trend reversal when the price breaks a level in the opposite direction of the prior trend. These signals help traders identify moments when the market changes its dynamics, which is crucial for price action strategies.
█ FEATURES
- Pivot Detection: Identifies pivot points (highs and lows) based on four different pivot lengths (default: 5, 10, 15, 20), enabling market structure analysis with varying sensitivity.
- BoS and ChoCh Signals: Generates Break of Structure (BoS) signals in the form of triangles (green for bullish, red for bearish) and Change of Character (ChoCh) signals when the price breaks a key level in the opposite direction of the prior trend.
- Pivot Labels: Displays labels for highs (HH - Higher High, LH - Lower High) and lows (HL - Higher Low, LL - Lower Low) with the option to select which pivot to display them for.
- Customizable Colors and Styles: Allows configuration of colors for BoS and ChoCh signals and pivot labels.
- Alerts: Built-in alerts for BoS and ChoCh signals for each pivot length, including price and signal type descriptions.
█ HOW TO USE
Adding to the Chart: Add the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configuring Settings:
- Pivot Lengths: Set four different pivot lengths (Pivot Length 1-4, default: 5, 10, 15, 20) to adjust the sensitivity of pivot detection. Shorter lengths are more sensitive, while longer lengths are more significant. If you want to use only one length, set all pivot lengths to the same value.
- Colors and Styles: Configure colors for BoS signals (green for bullish, red for bearish) and pivot labels.
- Labels: Enable/disable the display of HH/HL/LH/LL labels and choose which pivot to display them for (Pivot 1-4 or none).
- Signals: BoS and ChoCh signals are displayed as triangles (upward for bullish BoS, downward for bearish). Alerts can be configured for each signal type.
Interpreting Signals:
- Bullish BoS Signal: A green triangle below the candle indicates a breakout above a previous high, suggesting bullish trend continuation.
- Bearish BoS Signal: A red triangle above the candle indicates a breakout below a previous low, suggesting bearish trend continuation.
- Bullish ChoCh Signal: A green triangle after breaking a high in a downtrend indicates a potential reversal to bullish.
- Bearish ChoCh Signal: A red triangle after breaking a low in an uptrend indicates a potential reversal to bearish.
- Pivot Levels: Use pivot points as dynamic support and resistance levels. Levels from longer pivots carry greater significance.
Combine signals with other technical analysis tools, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze market structure on higher timeframes for stronger signals. Be particularly cautious when entering positions if RSI approaches overbought/oversold zones and divergences appear, as this may indicate a trend change.
█ APPLICATIONS
- Breakout Strategies: Trade based on BoS signals indicating trend continuation. A BoS signal after breaking a high in an uptrend may suggest a strong bullish impulse, especially when supported by a rising MACD.
- Reversal Strategies: ChoCh signals may indicate a potential trend reversal, particularly when confirmed by other indicators, such as RSI divergences or Fibonacci levels.
Asia Range Breakout Table (Narrowness)
Asia Range Breakout Table (Narrowness)
Overview
The Asia Range Breakout Table (Narrowness) is a professional trading tool designed to analyze and display range characteristics across key Asian trading sessions. This indicator provides real-time visual feedback on market range narrowness, helping traders identify potential breakout opportunities based on historical range comparisons. Better to use in M5 or M15 timeframe.
Key Features
- Multi-Session Analysis : Tracks 6 crucial Asian market sessions:
- ORB Pre (Tokyo Pre-open)
- ORB First (Tokyo First)
- Sydney Box
- Tokyo Launch Box
- 2nd Session Pre-Open
- 2nd ORB (Tokyo 2nd Session)
- Historical Comparison : Compares current session ranges against 44 days of historical data
- Visual Color Coding :
- 🟢 Narrowest (<10%) - Extremely compressed ranges
- 🟢 Narrow (10-59%) - Below average ranges
- 🟣 Normal (60-79%) - Typical range behavior
- 🔴 Wide (≥80%) - Expanded range conditions
- Customizable Display : Adjustable table position and text size
- Session Toggle : Enable/disable individual sessions based on your trading focus
How It Works
The indicator calculates the high-low range for each defined session and ranks it against historical data using percentile analysis. This helps traders quickly identify:
- Unusually narrow ranges that may indicate impending breakouts
- Expanded ranges suggesting increased volatility
- Normal range behavior for context
Use Cases
- Breakout Trading : Identify sessions with compressed ranges for potential breakout setups
- Volatility Assessment : Gauge market conditions across different Asian sessions
- Session Analysis : Understand range behavior during specific market hours
- Risk Management : Adjust position sizing based on range characteristics
Input Parameters
- Session Toggles : Enable/disable individual session tracking
- Table Position : Choose from four corner positions
- Text Size : Adjust table readability (Tiny, Small, Normal, Big)
Ideal For
- Asian session traders
- Breakout strategy enthusiasts
- Volatility analysis
- Multi-timeframe analysts
- Professional and retail traders focusing on Asian markets
Disclaimer
This tool is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own research and risk management before trading.
Cross3xCross3x – Early Rejection & Crossover Detection System
Cross3x is a powerful yet intuitive trading tool designed for traders who want early signals with structured risk management.
Built around a dual EMA crossover (18 & 33), it generates entry signals on every crossover and crossunder — no trend filter interference. The long-term SMA 99 provides context but doesn’t block valid setups.
Key Features:
Unfiltered Entries: Triangles appear on every EMA 18/33 crossover, ideal for catching reversals early.
Smart SL/TP/BE:
SL based on recent extremes (configurable lookback).
TP using adjustable Risk/Reward ratio (default 2:1).
BE level set at a % between entry and TP (e.g., 10% = just above cost).
Early Rejection Signals: Diamonds highlight potential reversals when price tests a moving average with a long wick during a countertrend candle:
🟩 Green diamond below bar → Potential Long Setup
🟥 Red diamond above bar → Potential Short Setup
Confirmation Points: Circles appear when price retraces properly after a crossover, marking optimal entry zones.
Real-Time Dashboard: Dynamic table shows current signal, SL, and TP levels.
Customizable Alerts: Enable alerts per signal type for timely execution.
Why Traders Love Cross3x:
It combines simplicity with intelligence. Whether you're scalping, swing trading, or building an algo strategy, Cross3x gives you clarity, timing, and discipline in one compact package.
Use the diamonds to anticipate moves, the triangles to confirm momentum, and the confirmation circles to refine entries — all backed by precise risk controls.
Perfect For:
Breakout traders
Pullback hunters
Price action + MA confluence strategies
Deploy Cross3x to turn basic crossovers into a complete edge.
BTC — CVD Divergence (Spot & Perp, robuste v6)If the price is above the CVD, it usually means the move is being pushed by leverage rather than real buying — the market is stretched and at risk of a correction.
If the price is below the CVD, it suggests that buyers are quietly absorbing — pressure is building for a bullish recovery once leverage clears out.
Narrowing Range Predictor - EnhancedNarrowing Range Predictor - draws triangles and beaks from the price action. Recommended to play around with settings.
Session times for London (UTC 07:00–16:00 UTC)Session times for London (UTC 07:00–16:00 UTC). Shows the trading hours for the London Session Mon-Fri
Narrowing Range PredictorNarrowing Range Indicator with several configurables. Recommended to play around with customised settings.
Timebender - Sum of TimeTimebender – Sum of Time
A minimalist numerological clock that decodes the vibration of the moment.
It calculates and displays the digital sum of the current date and time, assigning colors based on the 1–3 (Accumulation), 4–6 (Manipulation), and 7–9 (Distribution) cycle.
Clean, efficient, and fully synchronized with your chart’s timezone.
Simplified Percentile ClusteringSimplified Percentile Clustering (SPC) is a clustering system for trend regime analysis.
Instead of relying on heavy iterative algorithms such as k-means, SPC takes a deterministic approach: it uses percentiles and running averages to form cluster centers directly from the data, producing smooth, interpretable market state segmentation that updates live with every bar.
Most clustering algorithms are designed for offline datasets, they require recomputation, multiple iterations, and fixed sample sizes.
SPC borrows from both statistical normalization and distance-based clustering theory , but simplifies them. Percentiles ensure that cluster centers are resistant to outliers , while the running mean provides a stable mid-point reference.
Unlike iterative methods, SPC’s centers evolve smoothly with time, ideal for charts that must update in real time without sudden reclassification noise.
SPC provides a simple yet powerful clustering heuristic that:
Runs continuously in a charting environment,
Remains interpretable and reproducible,
And allows traders to see how close the current market state is to transitioning between regimes.
Clustering by Percentiles
Traditional clustering methods find centers through iteration. SPC defines them deterministically using three simple statistics within a moving window:
Lower percentile (p_low) → captures the lower basin of feature values.
Upper percentile (p_high) → captures the upper basin.
Mean (mid) → represents the central tendency.
From these, SPC computes stable “centers”:
// K = 2 → two regimes (e.g., bullish / bearish)
=
// K = 3 → adds a neutral zone
=
These centers move gradually with the market, forming live regime boundaries without ever needing convergence steps.
Two clusters capture directional bias; three clusters add a neutral ‘range’ state.
Multi-Feature Fusion
While SPC can cluster a single feature such as RSI, CCI, Fisher Transform, DMI, Z-Score, or the price-to-MA ratio (MAR), its real strength lies in feature fusion. Each feature adds a unique lens to the clustering system. By toggling features on or off, traders can test how each dimension contributes to the regime structure.
In “Clusters” mode, SPC measures how far the current bar is from each cluster center across all enabled features, averages these distances, and assigns the bar to the nearest combined center. This effectively creates a multi-dimensional regime map , where each feature contributes equally to defining the overall market state.
The fusion distance is computed as:
dist := (rsi_d * on_off(use_rsi) + cci_d * on_off(use_cci) + fis_d * on_off(use_fis) + dmi_d * on_off(use_dmi) + zsc_d * on_off(use_zsc) + mar_d * on_off(use_mar)) / (on_off(use_rsi) + on_off(use_cci) + on_off(use_fis) + on_off(use_dmi) + on_off(use_zsc) + on_off(use_mar))
Because each feature can be standardized (Z-Score), the distances remain comparable across different scales.
Fusion mode combines multiple standardized features into a single smooth regime signal.
Visualizing Proximity - The Transition Gradient
Most indicators show binary or discrete conditions (e.g., bullish/bearish). SPC goes further, it quantifies how close the current value is to flipping into the next cluster.
It measures the distances to the two nearest cluster centers and interpolates between them:
rel_pos = min_dist / (min_dist + second_min_dist)
real_clust = cluster_val + (second_val - cluster_val) * rel_pos
This real_clust output forms a continuous line that moves smoothly between clusters:
Near 0.0 → firmly within the current regime
Around 0.5 → balanced between clusters (transition zone)
Near 1.0 → about to flip into the next regime
Smooth interpolation reveals when the market is close to a regime change.
How to Tune the Parameters
SPC includes intuitive parameters to adapt sensitivity and stability:
K Clusters (2–3): Defines the number of regimes. K = 2 for trend/range distinction, K = 3 for trend/neutral transitions.
Lookback: Determines the number of past bars used for percentile and mean calculations. Higher = smoother, more stable clusters. Lower = faster reaction to new trends.
Lower / Upper Percentiles: Define what counts as “low” and “high” states. Adjust to widen or tighten cluster ranges.
Shorter lookbacks react quickly to shifts; longer lookbacks smooth the clusters.
Visual Interpretation
In “Clusters” mode, SPC plots:
A colored histogram for each cluster (red, orange, green depending on K)
Horizontal guide lines separating cluster levels
Smooth proximity transitions between states
Each bar’s color also changes based on its assigned cluster, allowing quick recognition of when the market transitions between regimes.
Cluster bands visualize regime structure and transitions at a glance.
Practical Applications
Identify market regimes (bullish, neutral, bearish) in real time
Detect early transition phases before a trend flip occurs
Fuse multiple indicators into a single consistent signal
Engineer interpretable features for machine-learning research
Build adaptive filters or hybrid signals based on cluster proximity
Final Notes
Simplified Percentile Clustering (SPC) provides a balance between mathematical rigor and visual intuition. It replaces complex iterative algorithms with a clear, deterministic logic that any trader can understand, and yet retains the multidimensional insight of a fusion-based clustering system.
Use SPC to study how different indicators align, how regimes evolve, and how transitions emerge in real time. It’s not about predicting; it’s about seeing the structure of the market unfold.
Disclaimer
This indicator is intended for educational and analytical use.
It does not generate buy or sell signals.
Historical regime transitions are not indicative of future performance.
Always validate insights with independent analysis before making trading decisions.