Strategy
Indicator
TraxisLab - Confluence EngineTraxisLab — Confluence Engine
TraxisLab Confluence Engine is an advanced smart money / order flow style indicator designed to combine multiple high-value market signals into one clear confluence framework.
Instead of relying on a single trigger, this tool evaluates market structure, CVD-based pressure, delta divergence, VSA absorption/climax, liquidity sweeps, premium/discount zones, and Fair Value Gaps, then merges them into a dynamic bullish vs bearish confluence score.
The goal is simple: help traders identify areas where several independent factors align and filter out weaker, low-quality setups.
Key Features
1. Market Structure (BOS / CHoCH)
Detects Break of Structure (BOS) and Change of Character (CHoCH) using pivot-based logic.
Confirmed breaks can be filtered with CVD and volume validation to reduce false breakouts.
2. CVD / Delta Pressure Engine
Builds an internal Cumulative Volume Delta (CVD) model from candle structure and volume distribution.
This helps estimate whether aggressive buying or selling pressure is actually supporting price movement.
3. Delta Divergence Detection
Highlights bullish and bearish divergences between price slope and CVD slope.
Signals require confirmation across multiple bars and above-average volume, making them more selective.
4. VSA Absorption & Climax Detection
Uses effort vs result logic to identify:
Absorption: high effort, limited result
Climax bars: high effort with expanded spread
This helps spot potential exhaustion, hidden accumulation, or distribution.
5. Liquidity Sweep Recognition
Detects sweep behavior around pivot highs and lows:
Bullish sweep = downside liquidity taken, then reclaimed
Bearish sweep = upside liquidity taken, then rejected
Volume-enhanced sweeps are treated as higher quality signals.
6. Premium / Discount Zones
After confirmed structural movement, the script projects premium, equilibrium, and discount zones based on the recent range.
This adds context for whether price is trading in a favorable area for longs or shorts.
7. Fair Value Gap (FVG) Detection with Scoring
Finds bullish and bearish Fair Value Gaps and assigns a score based on:
Gap size
Relative volume
Location vs premium/discount
Proximity to recent structure shift
Only higher-quality FVGs above a user-defined threshold are displayed.
8. Confluence Scoring System
The core of the indicator is a bullish and bearish confluence score (0–100).
The score is built from multiple active components, including:
Delta divergence
BOS / CHoCH
Absorption / climax
Sweeps
FVG proximity
Premium / discount context
Directional pressure
This creates a more structured way to evaluate trade conditions instead of reacting to isolated signals.
9. Smart Labels and Tooltips
When the confluence score reaches the selected threshold, the script prints a signal label directly on the chart.
Tooltips explain why the setup triggered by listing the active reasons behind the score.
10. Dashboard + Alerts
Includes a compact dashboard showing the current state of:
Bullish / bearish confluence
Market structure
Pressure
Divergence
VSA status
Zone location
Active FVGs
Sweeps
Built-in alert conditions are available for:
Long / Short confluence
Strong Long / Strong Short
Divergences
Sweeps
CHoCH events
Absorption
Best Use Cases
This indicator is especially useful for traders who focus on:
Smart Money Concepts (SMC)
Market structure trading
Liquidity-based entries
Volume / delta confirmation
Intraday and swing confluence analysis
It works best as a decision-support tool, helping confirm context and setup quality rather than acting as a standalone “buy/sell button.”
Notes
The script uses an estimated internal delta model, not true bid/ask footprint data.
Signals are based on confluence logic and should always be used together with your own market reading and risk management.
Lower timeframes may produce more signals, while higher timeframes may provide cleaner structure.
Summary
TraxisLab Confluence Engine is built for traders who want more than single-condition indicators.
It combines structure, pressure, liquidity, imbalance, and effort/result concepts into one actionable framework to highlight areas where multiple market factors align. Indicator
Indicator
Indicator
Indicator
Indicator
Indicator
COD - Time-Exit Framework (Shareable)COD - Time-Exit Framework (Shareable) is a multi-timeframe trade-management overlay built for traders who manage exits by both time and momentum.
It combines a structured 10-23 bar decision window, EMA context (10/55/100), and Squeeze Momentum + ADX behavior to help you avoid overholding and only re-enter when confirmation returns.
What it does
Time-based framework
Tracks bars from your entry anchor
Highlights the active management window (minBars to maxBars)
Flags thesis decay after the max-bar threshold
Trend context with EMAs
Plots EMA 10, EMA 55, and EMA 100
Supports target logic around EMA pullback zones
Momentum/strength confirmation
Squeeze Momentum turning-point dots
Green dot logic filtered to negative-to-positive momentum transitions
ADX slope checks to detect strengthening vs weakening trend pressure
Exit and re-entry workflow
Optional post-exit No Buy Mode
Re-entry gate requires confirmation (with optional strict 2-bar mode)
BUY OK marker appears only when reconfirmation criteria are met
Target zone engine
Three modes:
Manual (fixed user-defined zone)
Dynamic EMA (Snapshot on Exit) (captures EMA55/EMA100 at trigger)
Dynamic EMA (Live) (zone updates with moving EMAs)
Configurable zone duration in bars
Visual start/end labels for expected move window
Chart clarity controls
Minimal Mode: EMAs + SM dots only
Full mode: adds timing markers, zone overlays, and diagnostic states
Best use case
Designed for swing/intraday management where entries are confirmed by your system, and exits are controlled by:
elapsed bars,
momentum rollover, and
trend-strength behavior.
Notes
This is a decision-support tool, not automated financial advice.
Works on 4H, D, W, M, and other chart intervals.
Tune lengths/thresholds per market and volatility regime. Indicator
VROC Percentage Standardized Momentum Indicator (RevisedVersion)指標走勢，幫你做一個即時嘅 「量化分析解讀」：
1. 指標當前狀態分析
VROC 數值 (目前約 0.61)：數值係正數，代表輝達（NVDA）目前嘅動能依然係向上推升緊。
柱狀圖高度：你留意到最近嘅柱位雖然係青色，但高度似乎比之前一兩波爆發時矮咗少少。呢個就係你想要捕捉嘅「升勢變慢」跡象。
2. 「背離」預警嘅實戰觀察
未見三角形？ 如果圖表暫時未見橙色三角形，代表目前雖然升勢慢咗，但仲未達到「價格創新高但動能大幅萎縮」嘅極端背離條件。
領先性驗證：根據我哋 Python 之前測出嚟嘅 Lag 3 同 Lag 21。你可以睇返圖入面 VROC 轉向（由高位跌返落嚟）嗰一刻，股價通常會喺 3 日後 開始停滯，或者喺 一個月後 出現明顯調整。
3. 未來操作建議
留意背離出現：如果股價繼續衝，但下面呢啲青色柱（VROC）不斷縮短，橙色三角形就會彈出嚟。嗰個就係大戶開始「派貨」嘅統計學鑒定。
參數微調：
如果你覺得訊號太慢，可以喺 Setting 將 「速率週期 (n)」 由 22 改細啲（例如 10）。
如果你想睇更長線嘅派貨，就保持 22 或者改大佢。
Indicator Trends: Real-time Quantitative Analysis and Interpretation:
1. Current Indicator Status Analysis
VROC Value (Currently around 0.61): The value is positive, indicating that NVDA's momentum is still pushing upwards.
Histogram Height: You may have noticed that while the recent bars are cyan, their height seems slightly lower than during the previous one or two surges. This is the "slowing uptrend" sign you're looking for.
2. Practical Observation of "Divergence" Warnings
No Triangle? If the chart doesn't currently show an orange triangle, it means that although the uptrend has slowed, it hasn't yet reached the extreme divergence condition of "price making a new high but momentum significantly weakening."
Leading Validation: Based on our previous Python tests of Lag 3 and Lag 21... You can see in the chart that when the VROC turns (falling back from a high), the stock price usually stagnates after 3 days or shows a significant correction after a month.
3. Future Trading Suggestions
Watch for divergence: If the stock price continues to rise, but the lower blue bars (VROC) keep shortening, an orange triangle will appear. This is a statistical indicator that large investors are starting to "distribute" their holdings.
Parameter Fine-tuning:
If you feel the signal is too slow, you can change the "Rate Period (n)" in Settings from 22 to a smaller value (e.g., 10).
If you want to observe a longer-term distribution pattern, keep it at 22 or increase it.
Indicator
Indicator
MTF MA Matrix - Clean BaseMTF MA Matrix PRO – Trend & Alignment Strategy
Overview
This study is built to analyze trend direction and continuity by evaluating moving average structures across multiple timeframes. Instead of relying on a single timeframe, the system focuses on how different timeframes align with each other to provide a broader market perspective.
The goal is not to predict tops or bottoms, but to participate in structured and sustained trend movements.
Core Logic
1. Trend Structure
The system evaluates:
* Moving average positioning
* Slope (direction and strength)
* Price location relative to averages
This defines whether the market is trending or not.
2. Multi-Timeframe Alignment (MTF)
The following timeframes are used together:
1H, 2H, 4H, 8H, 12H, 1D
A full alignment is not required. Instead, a minimum number of timeframes moving in the same direction is considered sufficient. This keeps the system flexible while maintaining structural integrity.
3. Entry and Exit Logic
LONG: Uptrend structure + momentum + alignment
SHORT: Downtrend structure + momentum + alignment
EXIT: Loss of structure or weakening alignment
The system is trend-following by design. It does not attempt to capture exact turning points.
Calculation Approach
The model does not rely on a single indicator. It combines multiple factors:
* Moving average slope
* Relative distance between averages
* Price positioning
* Cross-timeframe agreement
Slope calculations are normalized to reduce volatility distortion. This allows the system to behave consistently across different assets and timeframes.
Trend quality is determined by how short, medium, and long-term averages interact with each other, rather than a single crossover event.
Moving Average Type
The system is optimized for EMA usage by default, but other types can be tested.
Risk Management
Optional components include:
* ATR-based stop
* Trailing stop
The default behavior favors holding trends rather than exiting too early.
Visual Components
The chart includes:
* Main moving averages
* EMA250–500 cloud
* Entry and exit markers
* Multi-timeframe status table
The table represents structural conditions, not direct order execution.
Optimal Timeframes
Best performance is observed on higher timeframes:
4H – primary execution
8H – trend filter
12H – strong trend confirmation
1D – macro direction
1W – optional higher-level context
Lower timeframes produce more signals but introduce more noise.
Important Notes
This is a trend-based system. Performance may decrease in sideways markets.
Signals are fewer but more selective.
The system may remain inactive during unclear conditions.
Risk management is strongly recommended.
Practical Note
This script has been developed through iterative testing and observation rather than a single fixed model. Parameters and structure were adjusted over time based on how the system behaves across different market conditions.
Summary
Multi-timeframe approach
Trend-focused logic
Noise filtering
Selective entries
Final Remark
The intention is not to trade every move, but to stay aligned with meaningful ones. Like any system, it requires consistency and discipline to be used effectively.
Strategy
Indicator
BTC Average Daily Returns by DayAverage Daily Returns by Day
A clean weekday performance dashboard that shows the average daily return for each day of the week using a selectable lookback period.
The script uses daily data internally, so it stays consistent across chart timeframes while letting you view the stats directly on your chart as either a table or a centered top bar.
Features
Weekday average returns
1W, 2W, 1M, 3M, 6M, 1Y lookbacks
Table or top bar display
Current-day bias signal built into the UI
Optional heatmap, best/worst day highlight, and sample count
Custom colors and preset themes
How to use
Use it to quickly see whether a market has recently shown stronger or weaker performance on specific weekdays. It works best as a context tool alongside price action, structure, volatility, and broader market conditions.
Important
This indicator is descriptive, not predictive. Weekday tendencies can shift, especially on shorter lookbacks, so it should not be used as a standalone signal.
Indicator
Predictive Monte Carlo Engine [LuxAlgo]The Predictive Monte Carlo Engine tool is a high-performance forecasting suite that uses probabilistic simulations to project future price paths based on historical volatility and market regimes.
🔶 USAGE
The indicator generates hundreds of potential price paths starting from the current bar (or an anchored point) to visualize the most likely price distribution over a user-defined projection length. It serves as a powerful volatility and support/resistance mapping tool, providing traders with an "expected value" range rather than a single fixed forecast.
Users can choose between three distinct mathematical methods to generate these paths, apply regime filters to isolate specific market conditions, and utilize a real-time dashboard that renders a visual "forecasted candle" for the next period.
🔹 Anchor Mode
By default, the simulation recalculates and updates on every new bar. By enabling Anchor Mode , users can lock the projection starting point. The engine will then only update every X bars (e.g., every 100 bars). This allows traders to observe how price actually reacted against historical Monte Carlo projections and Support/Resistance levels as the chart progresses.
🔶 DETAILS
The engine utilizes three primary simulation methodologies:
Geometric Brownian Motion (GBM): A stochastic process that assumes returns follow a log-normal distribution. This is the industry standard for modeling asset prices, ensuring prices remain positive and incorporating both drift and volatility.
Simple Random Walk (SRW): A basic additive model where price changes are sampled from a normal distribution based on historical mean and standard deviation.
Historical Shuffle (Bootstrapping): Instead of using random numbers, this method randomly samples actual historical price returns from the lookback period. This preserves the "fat tails" and unique characteristics of the specific asset being traded.
🔹 Regime Filtering
To improve accuracy, the engine can filter the historical data used for simulations. If "Trend" or "Momentum" regimes are selected, the indicator only calculates volatility and drift from past bars that match the current market environment (e.g., only using data from previous uptrends to forecast a current uptrend).
🔹 Fading S/R Zones
The tool identifies four key levels based on the simulation distribution: Max, R1 (90th percentile), S1 (10th percentile), and Min. These are rendered as horizontal zones that feature a unique horizontal gradient, fading as they extend into the future to represent the increasing uncertainty of the projection over time.
🔶 SETTINGS
🔹 Monte Carlo Settings
Simulation Method: Choose between GBM, SRW, or Historical Shuffle.
Regime Filter: Filter historical data by Trend (SMA) or Momentum (RSI).
Historical Lookback: The number of past bars used to calculate volatility.
Projection Length: How many bars into the future the paths extend.
Simulation Count: Number of individual paths to calculate (max 200).
Volatility Multiplier: Scales the historical volatility to simulate "stress-test" scenarios.
Anchor Mode: When enabled, locks the projection to update only at specific intervals.
🔹 Style
Path Percentiles: Adjust the thresholds for coloring the "Top" and "Bottom" path groups.
Colors: Customize the colors for bullish, bearish, and neutral paths, as well as the average projection line.
Show S/R Levels: Toggles the visibility of the horizontally fading Support and Resistance zones.
🔹 Dashboard
Show Dashboard: Toggles the statistical metrics table.
Next Candle Prediction: Enables the "Forecasted Candle" visual, which uses the 1-bar-ahead expected mean and distribution to render a text-based candlestick on the dashboard.
Indicator
Strategy
Indicator
TraxisLab Liquidation Heatmap
The TraxisLab Liquidation Heatmap visualizes potential liquidation zones based on price structure, volume, and leverage dynamics. It is designed to provide a clear view of where liquidity is likely to accumulate directly within the chart.
What this indicator does
The indicator identifies price areas where leveraged long and short positions are most likely to be liquidated.
It uses pivot-based structure combined with volume and configurable leverage levels from 10x up to 100x to estimate and display these zones as a dynamic heatmap.
The goal is to highlight areas of concentrated liquidity, potential stop hunts, and zones where price is more likely to react.
Core functionality
Anchor data support allows the use of an external symbol, such as Binance perpetual futures, to improve the realism of the calculations.
Leverage-based calculations are applied across multiple tiers including 10x, 25x, 50x, and 100x.
Volume-weighted estimation assigns each zone an approximate liquidation size in millions of USD.
Cluster detection groups nearby zones together, indicating stronger areas of liquidity concentration.
Nearest zone identification highlights the most relevant zone relative to the current price.
Detailed tooltips provide additional context such as price level, long and short distribution, estimated size, and distance from the current market price.
Time-based fading reduces the visibility of older zones, keeping the focus on more recent data.
Visual structure
The indicator displays heatmap-style zones directly on the chart, with separate color schemes for long and short liquidations.
Intensity varies depending on leverage and clustering strength.
Optional cluster lines improve readability, while labels provide a concise overview of each zone.
An integrated table summarizes the most relevant nearby levels.
Calculation methodology
Liquidation zones are derived from market structure.
Pivot highs are used to estimate potential short liquidations.
Pivot lows are used to estimate potential long liquidations.
The calculations are based on the following formulas:
Short liquidation is calculated as price multiplied by one plus one divided by leverage.
Long liquidation is calculated as price multiplied by one minus one divided by leverage.
Additional factors include volume data, ATR for zone sizing and clustering, and a simulated position allocation model.
Important note
This indicator provides estimated liquidation zones and does not use actual exchange liquidation data.
The calculations are based on typical leverage behavior and market mechanics and are intended to approximate where liquidity is likely positioned.
Application
The indicator can be used to identify potential liquidity targets, anticipate volatility, and refine entries and exits around key levels.
It can also be combined with price action or other analytical methods for more advanced strategies.
This tool is intended for traders who focus on liquidity, structure, and market behavior.
Indicator
Indicator
Strategy
Indicator
Soportes y Resistencias Importantes Soportes y Resistencias Importantes
¿Qué hace este indicador?
Detecta automáticamente los niveles de soporte y resistencia más relevantes del gráfico basándose en el volumen real de mercado, no
en fórmulas arbitrarias. La idea es simple: cuando el precio toca un nivel con un volumen muy elevado, ese nivel tiene memoria —
el mercado lo recuerda y suele reaccionar en él en el futuro.
---
¿Cómo funciona por dentro?
1. Busca picos de volumen — El indicador escanea el histórico visible en pantalla y localiza las barras donde el volumen fue
notablemente superior a la media. Estos son momentos donde hubo una batalla real entre compradores y vendedores.
2. Registra el precio de cierre en ese pico — El precio al que cerró esa barra de alto volumen se guarda como un nivel potencial.
Es el precio donde el mercado "decidió" moverse con fuerza.
3. Agrupa niveles cercanos (clustering) — Si varios picos de volumen se produjeron cerca del mismo precio, el indicador los fusiona
en un único nivel más preciso. Así evita mostrar cinco líneas casi idénticas.
4. Clasifica automáticamente — Compara cada nivel con el precio actual:
- Los niveles por debajo del precio → Soportes (azul por defecto)
- Los niveles por encima del precio → Resistencias (amarillo por defecto)
5. Muestra solo los más importantes — De todos los niveles detectados, filtra únicamente los top 5 soportes y top 5 resistencias
con mayor volumen asociado. Menos ruido, más señal.
6. Rango visible — Traza dos líneas extra marcando el máximo y mínimo del rango visible en pantalla, útil como referencia rápida de
hasta dónde ha llegado el precio en el período analizado.
---
¿Qué muestra en pantalla?
- Líneas horizontales extendidas a ambos lados del gráfico, en el color de soporte o resistencia según corresponda.
- Etiquetas de precio encima de cada línea, alineadas a la derecha del gráfico, indicando el nivel exacto y cuántas veces ese
cluster fue confirmado (ej: 84.250 x3 = nivel tocado con alto volumen 3 veces).
- Dos líneas de rango (máximo y mínimo visible) en colores diferenciados.
---
Configuración:
La ventana de configuración se divide en cuatro secciones:
- Volumen — controla qué tan exigente es el detector de picos (barras de contexto y multiplicador sobre la media)
- Clustering — cuántos niveles mostrar como máximo y qué distancia porcentual hace que dos niveles se fusionen en uno
- Soportes / Resistencias — color, grosor y estilo de línea para cada tipo
- Rango visible — personalización de las líneas de máximo y mínimo del área visible
---
¿Para quién es útil?
Para cualquier trader que opere con price action y quiera tener en pantalla los niveles donde el mercado ha demostrado interés
real, sin necesidad de dibujarlos manualmente. Funciona en cualquier activo (crypto, forex, acciones, futuros) y en cualquier
temporalidad.
▎ Nota: El indicador trabaja sobre las barras visibles en pantalla. Si haces zoom in o zoom out, los niveles se recalculan en función del nuevo rango visible. Indicator
Indicator
