DrFX Reversal Algo - MACD-RSI System with Dynamic Zone Filtering**DrFX Reversal Algo** is a sophisticated reversal detection system that combines MACD momentum analysis with RSI confirmation and dynamic support/resistance zone filtering. This indicator employs advanced mathematical filtering techniques to identify high-probability reversal points while minimizing false signals through intelligent zone-based filtering.
**Core Innovation & Originality**
This system uniquely integrates four key analytical components:
1. **Enhanced MACD Engine** - Customizable fast (20), slow (50), and signal (12) lengths with crossover/crossunder detection optimized for reversal identification
2. **RSI Power Classification** - 14-period RSI used to classify signal strength and trend bias, distinguishing between "Strong" and regular signals
3. **Kalman-Filtered Dynamic Zones** - Advanced mathematical smoothing of support/resistance levels using Kalman filter algorithms for noise reduction
4. **Gradient-Based Visual System** - Power-weighted bar coloring that visualizes trend strength using MACD histogram and RSI signal intensity
**System Architecture & Functionality**
**Signal Generation Methodology:**
The core algorithm detects MACD line crossovers above and below the signal line, then applies RSI-based classification. When RSI signal (RSI-50) is positive during bullish MACD crossovers, the system generates "Strong Buy" signals. When RSI signal is negative or neutral, it produces regular "Buy" signals. The inverse logic applies for sell signals.
**Dynamic Zone Calculation:**
Support and resistance zones are calculated using a multi-step process:
1. **Volatility Bands**: ATR-based upper/lower bands using (high+low)/2 ± ATR * multiplier
2. **Precise Zone Definition**: Integration of 20-period highest/lowest calculations with volatility bands
3. **Kalman Filter Smoothing**: Advanced noise reduction using configurable Q (0.01) and R (0.1) parameters
4. **Zone Validation**: Real-time adjustment based on price action and volatility changes
**Kalman Filter Implementation:**
The system employs a custom Kalman filter function for zone smoothing:
```
kf_k = kf_p / (kf_p + kf_r)
kf_x = kf_k * input + (1 - kf_k) * previous_estimate
kf_p = (1 - kf_k) * kf_p + kf_q
```
This mathematical approach reduces zone boundary noise while maintaining responsiveness to genuine support/resistance level changes.
**Unique Visual Features**
**Power-Based Gradient System:**
Bar coloring utilizes a sophisticated gradient calculation based on MACD histogram power (absolute value) and RSI signal strength. The system creates dynamic color transitions:
- **Bullish Gradient**: Green spectrum (0-255 intensity) based on histogram power
- **Bearish Gradient**: Red spectrum (0-255 intensity) based on histogram power
- **Consolidation**: Mixed gradient indicating uncertain market conditions
**Dynamic Zone Visualization:**
- **Support Zones**: Blue-filled areas between smoothed support boundaries
- **Resistance Zones**: Red-filled areas between smoothed resistance boundaries
- **Zone Adaptation**: Real-time boundary adjustment based on volatility and price action
**Signal Classification System**
**Signal Strength Hierarchy:**
1. **Strong Buy**: MACD bullish crossover + RSI signal > 0 (above 50-line)
2. **Regular Buy**: MACD bullish crossover + RSI signal ≤ 0 (below 50-line)
3. **Strong Sell**: MACD bearish crossover + RSI signal < 0 (below 50-line)
4. **Regular Sell**: MACD bearish crossover + RSI signal ≥ 0 (above 50-line)
**Optional Zone Filtering:**
When enabled, the system only displays signals when:
- Buy signals: Price above smoothed support zone end
- Sell signals: Price below smoothed resistance zone start
**Usage Instructions**
**Primary Signal Interpretation:**
- **Large Green Triangles**: Strong buy signals with RSI confirmation above 50
- **Small Green Triangles**: Regular buy signals with RSI below 50
- **Large Red Triangles**: Strong sell signals with RSI confirmation below 50
- **Small Red Triangles**: Regular sell signals with RSI above 50
**Zone Analysis:**
- **Blue Zones**: Dynamic support areas where buying interest may emerge
- **Red Zones**: Dynamic resistance areas where selling pressure may increase
- **Zone Breaks**: Price movement outside zones indicates potential trend continuation
**Bar Color Interpretation:**
- **Bright Green**: Strong bullish momentum (high MACD histogram power + positive RSI)
- **Dark Green**: Moderate bullish momentum
- **Bright Red**: Strong bearish momentum (high MACD histogram power + negative RSI)
- **Dark Red**: Moderate bearish momentum
- **Mixed Colors**: Consolidation or uncertain trend direction
**Optimal Usage Strategies:**
1. **Reversal Trading**: Focus on signals occurring near zone boundaries
2. **Confirmation Trading**: Use zone filter to reduce false signals in trending markets
3. **Momentum Trading**: Prioritize "Strong" signals with bright gradient bar coloring
4. **Multi-Timeframe**: Combine with higher timeframe trend analysis for context
**Parameter Customization**
**MACD Settings:**
- **Fast Length (20)**: Shorter periods increase sensitivity
- **Slow Length (50)**: Longer periods reduce noise
- **Signal Smoothing (12)**: Affects crossover signal timing
**Support/Resistance Settings:**
- **Volatility Period (10)**: ATR calculation period for zone width
- **Multiplier (5.0)**: Zone expansion factor based on volatility
**Visual Settings:**
- **Gradient Range (2000)**: Controls color intensity scaling
- **Zone Filtering**: Enables/disables signal filtering based on zone position
**Advanced Features**
**Alert System:**
Comprehensive alert functionality with detailed messages including symbol, timeframe, current price, and signal type. Separate enable/disable options for long and short alerts.
**Mathematical Precision:**
The Kalman filter implementation provides superior noise reduction compared to simple moving averages while maintaining responsiveness to genuine market structure changes.
**Important Considerations**
This system works optimally in markets with clear support/resistance levels and moderate volatility. The Kalman filter smoothing may introduce slight lag during rapid market movements. Strong signals generally provide higher probability setups but may be less frequent than regular signals.
The algorithm combines established techniques (MACD, RSI) with advanced filtering and zone detection methodologies. The integration of multiple confirmation methods helps reduce false signals while maintaining sensitivity to genuine reversal opportunities.
**Disclaimer**: This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. The system's effectiveness varies across different market conditions and timeframes. Always implement proper risk management and consider multiple confirmation methods before making trading decisions.
Analyse de la tendance
Bollinger Adaptive Trend Navigator [QuantAlgo]🟢 Overview
The Bollinger Adaptive Trend Navigator synthesizes volatility channel analysis with variable smoothing mechanics to generate trend identification signals. It uses price positioning within Bollinger Band structures to modify moving average responsiveness, while incorporating ATR calculations to establish trend line boundaries that constrain movement during volatile periods. The adaptive nature makes this indicator particularly valuable for traders and investors working across various asset classes including stocks, forex, commodities, and cryptocurrencies, with effectiveness spanning multiple timeframes from intraday scalping to longer-term position analysis.
🟢 How It Works
The core mechanism calculates price position within Bollinger Bands and uses this positioning to create an adaptive smoothing factor:
bbPosition = bbUpper != bbLower ? (source - bbLower) / (bbUpper - bbLower) : 0.5
adaptiveFactor = (bbPosition - 0.5) * 2 * adaptiveMultiplier * bandWidthRatio
alpha = math.max(0.01, math.min(0.5, 2.0 / (bbPeriod + 1) * (1 + math.abs(adaptiveFactor))))
This adaptive coefficient drives an exponential moving average that responds more aggressively when price approaches Bollinger Band extremes:
var float adaptiveTrend = source
adaptiveTrend := alpha * source + (1 - alpha) * nz(adaptiveTrend , source)
finalTrend = 0.7 * adaptiveTrend + 0.3 * smoothedCenter
ATR-based volatility boundaries constrain the final trend line to prevent excessive movement during volatile periods:
volatility = ta.atr(volatilityPeriod)
upperBound = bollingerTrendValue + (volatility * volatilityMultiplier)
lowerBound = bollingerTrendValue - (volatility * volatilityMultiplier)
The trend line direction determines bullish or bearish states through simple slope comparison, with the final output displaying color-coded signals based on the synthesis of Bollinger positioning, adaptive smoothing, and volatility constraints (green = long/buy, red = short/sell).
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward direction based on Bollinger positioning and adaptive smoothing = Potential long/buy opportunity
Falling Trend Line (Red): Indicates downward direction based on Bollinger positioning and adaptive smoothing = Potential short/sell opportunity
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, allowing you to act on significant development without constantly monitoring the charts
Candle Coloring: Optional feature applies trend colors to price bars for visual consistency
Configuration Presets: Three parameter sets available - Default (standard settings), Scalping (faster response), and Swing Trading (slower response)
Triple RSI | MisinkoMasterThe Triple RSI (TRSI) is an advanced trend-following oscillator designed to capture trend reversals with speed and smoothness, combining concepts from traditional RSI, multi-timeframe momentum analysis, and layered moving average smoothing.
By blending multiple RSI lengths and applying a unique smoothing sequence, the TRSI creates a fast, momentum-driven RSI oscillator that reduces noise without sacrificing responsiveness.
🔎 Methodology
The indicator is built in three main steps:
Multi-Length RSI Calculation
Three RSIs are calculated using different lengths derived from the user’s input n:
RSI(√n) → very fast, highly responsive.
RSI(n/2) → moderately fast.
RSI(n) → slower, more stable baseline.
Each RSI is normalized by subtracting 50, centering values around zero.
Triple RSI Formula
The three RSIs are combined into the base formula:
TRSI=RSI(√n)+RSI(n/2)−RSI(n)
TRSI=RSI(√n)+RSI(n/2)−RSI(n)
This subtracts the slower RSI from the faster ones, boosting responsiveness and making the TRSI more momentum-oriented than a standard RSI.
Layered Smoothing
The raw TRSI is smoothed in three steps:
RMA(n/2)
RMA(√n)
HMA(√n)
This sequence balances stability and speed:
RMA provides consistency and reduces false noise.
HMA adds responsiveness and precision.
The result is a smooth yet reactive oscillator, optimized for reversal detection.
📈 Trend Classification
The TRSI offers three ways to interpret trend direction:
Oscillator Values
Above 0 → Bullish (uptrend).
Below 0 → Bearish (downtrend).
Oscillator Colors
Green TRSI line → Positive momentum.
Red TRSI line → Negative momentum.
Background Colors
Green background flash → Reversal into bullish trend.
Red background flash → Reversal into bearish trend.
This makes it easy to scan past price history and quickly identify turning points.
🎨 Visualization
TRSI line plotted with dynamic coloring (green/red).
Filled area between TRSI and zero-line reflects momentum bias.
Background flashes highlight trend reversal points, adding context and clarity for visual traders.
⚡ Features
Adjustable length parameter (n).
Dynamic use of √n and n/2 for multi-speed RSI blending.
Built-in smoothing with 2× RMA + 1× HMA.
Multiple trend detection methods (value, color, background).
Works across all assets and timeframes (crypto, forex, stocks, indices).
✅ Use Cases
Reversal Detection → Catch early shifts in trend direction.
Trend Confirmation → Stay aligned with momentum.
Momentum Filter → Avoid counter-trend trades in trending markets.
Historical Analysis → Quickly scan past reversals via background coloring.
⚠️ Limitations
As with all oscillators, TRSI may give false signals in sideways/choppy markets.
Optimal sensitivity depends on asset volatility → adjust n for best results.
It is not a standalone system and should be combined with other tools (trend filters, volume, higher timeframe confluence).
EMA & VWAP Precision Overlay📢WELCOME TO FUTURE YOU!
📈 This isn’t your grandma’s moving average script.
This is pure alpha visualization. We're talking 9, 21, 50, and 200 EMAs. Plus VWAP Session AND Anchored VWAP — all dynamically labeled so you know exactly where price is cooking.
🚀 Features:
Toggle lines like a boss
Label everything (or nothing, if you’re into minimalist flexing)
Anchored VWAP for sniper entries (you pick the start)
Labels shift forward so your candles don’t cry
Built for traders who actually care about levels and not just vibes. Whether you’re scalping dog coins or trend-riding BTC, this thing keeps your chart clean, informative, and slightly intimidating.
I use it. It works. You should probably use it too.
If it gives you psychic powers — you're welcome.
If it doesn't — still looks cool.
Advanced Trading System - [WOLONG X DBG]Advanced Multi-Timeframe Trading System
Overview
This technical analysis indicator combines multiple established methodologies to provide traders with market insights across various timeframes. The system integrates SuperTrend analysis, moving average clouds, MACD-based candle coloring, RSI analysis, and multi-timeframe trend detection to suggest potential entry and exit opportunities for both swing and day trading approaches.
Methodology
The indicator employs a multi-layered analytical approach based on established technical analysis principles:
Core Signal Generation
SuperTrend Engine: Utilizes adaptive SuperTrend calculations with customizable sensitivity (1-20) combined with SMA confirmation filters to identify potential trend changes and continuations
Braid Filter System: Implements moving average filtering using multiple MA types (McGinley Dynamic, EMA, DEMA, TEMA, Hull, Jurik, FRAMA) with percentage-based strength filtering to help reduce false signals
Multi-Timeframe Analysis: Analyzes trend conditions across 10 different timeframes (1-minute to Daily) using EMA-based trend detection for broader market context
Advanced Features
MACD Candle Coloring: Applies dynamic 4-level candle coloring system based on MACD histogram momentum and signal line relationships for visual trend strength assessment
RSI Analysis: Identifies potential reversal areas using RSI oversold/overbought conditions with SuperTrend confirmation
Take Profit Analysis: Features dual-mode TP detection using statistical slope analysis and Parabolic SAR integration for exit timing analysis
Key Components
Signal Types
Primary Signals: Green ▲ for potential long entries, Red ▼ for potential short entries with trend and SMA alignment
Reversal Signals: Small circular indicators for RSI-based counter-trend possibilities
Take Profit Markers: X-cross symbols indicating statistical TP analysis zones
Pullback Signals: Purple arrows for potential trend continuation entries using Parabolic SAR
Visual Elements
8-Layer MA Cloud: Customizable moving average cloud system with 3 color themes for trend visualization
Real-Time Dashboard: Multi-timeframe trend analysis table showing bullish/bearish status across all timeframes
Dynamic Candle Colors: 4-intensity MACD-based coloring system (ranging from light to strong trend colors)
Entry/SL/TP Labels: Automatic calculation and display of suggested entry points, stop losses, and multiple take profit levels
Usage Instructions
Basic Configuration
Sensitivity Setting: Start with default value 6
Increase (7-15) for more frequent signals in volatile markets
Decrease (3-5) for higher quality signals in trending markets
MA Filter Type: McGinley Dynamic recommended for smoother signals
Filter Strength: Set to 80% for balanced filtering, adjust based on market conditions
Signal Interpretation
Long Entry: Green ▲ suggests when price crosses above SuperTrend with bullish SMA alignment
Short Entry: Red ▼ suggests when price crosses below SuperTrend with bearish SMA alignment
Reversal Opportunities: Small circles indicate RSI-based counter-trend analysis
Take Profit Zones: X-crosses mark statistical TP areas based on slope analysis
Dashboard Analysis
Green Cells: Bullish trend detected on that timeframe
Red Cells: Bearish trend detected on that timeframe
Multi-Timeframe Confluence: Look for alignment across multiple timeframes for stronger signal confirmation
Risk Management Features
Automatic Calculations
ATR-Based Stop Loss: Dynamic stop loss calculation using ATR multiplier (default 1.9x)
Multiple Take Profit Levels: Three TP targets with 1:1, 1:2, and 1:3 risk-reward ratios
Position Sizing Guidance: Entry labels display suggested price levels for order placement
Confirmation Requirements
Trend Alignment: Requires SuperTrend and SMA confirmation before signal generation
Filter Validation: Braid filter must show sufficient strength before signals activate
Multi-Timeframe Context: Dashboard provides broader market context for decision making
Optimal Settings
Timeframe Recommendations
Scalping: 1M-5M charts with sensitivity 8-12
Day Trading: 15M-1H charts with sensitivity 6-8
Swing Trading: 4H-Daily charts with sensitivity 4-6
Market Conditions
Trending Markets: Reduce sensitivity, increase filter strength
Ranging Markets: Increase sensitivity, enable reversal signals
High Volatility: Adjust ATR risk factor to 2.0-2.5
Advanced Features
Customization Options
MA Cloud Periods: 8 customizable periods for cloud layers (default: 2,6,11,18,21,24,28,34)
Color Themes: Three professional color schemes plus transparent option
Dashboard Position: 9 positioning options with 4 size settings
Signal Filtering: Individual toggle controls for each signal type
Technical Specifications
Moving Average Types: 21 different MA calculations including advanced types (Jurik, FRAMA, VIDA, CMA)
Pullback Detection: Parabolic SAR with customizable start, increment, and maximum values
Statistical Analysis: Linear regression slope calculation for trend-based TP analysis
Important Limitations
Lagging Nature: Some signals may appear after potential entry points due to confirmation requirements
Ranging Markets: May produce false signals during extended sideways price action
High Volatility: Requires parameter adjustment during news events or unusual market conditions
Computational Load: Multiple timeframe analysis may impact performance on slower devices
No Guarantee: All signals are suggestions based on technical analysis and may be incorrect
Educational Disclaimers
This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations.
Risk Warning: Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. The high degree of leverage can work against you as well as for you.
Important Notes:
Always conduct your own analysis before making trading decisions
Use appropriate position sizing and risk management strategies
Never risk more than you can afford to lose
Consider your investment objectives, experience level, and risk tolerance
Seek advice from qualified financial professionals when needed
Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. Always paper trade new strategies before risking real capital.
FSVZO [Alpha Extract]A sophisticated volume-weighted momentum oscillator that combines Fourier smoothing with Volume Zone Oscillator methodology to deliver institutional-grade flow analysis and divergence detection. Utilizing advanced statistical filtering including ADF trend analysis and multi-dimensional volume dynamics, this indicator provides comprehensive market sentiment assessment through volume-price relationships with extreme zone detection and intelligent divergence recognition for high-probability reversal and continuation signals.
🔶 Advanced VZO Calculation Engine
Implements enhanced Volume Zone Oscillator methodology using relative volume analysis combined with smoothed price changes to create momentum-weighted oscillator values. The system applies exponential smoothing to both volume and price components before calculating positive and negative momentum ratios with trend factor integration for market regime awareness.
🔶 Fourier-Based Smoothing Architecture
Features advanced Fourier approximation smoothing using cosine-weighted calculations to reduce noise while preserving signal integrity. The system applies configurable Fourier length parameters with weighted sum normalization for optimal signal clarity across varying market conditions with enhanced responsiveness to genuine trend changes.
// Fourier Smoothing Algorithm
fourier_smooth(src, length) =>
sum = 0
weightSum = 0
for i = 0 to length - 1
weight = cos(2 * π * i / length)
sum += src * weight
weightSum += weight
sum / weightSum
🔶 Intelligent Divergence Detection System
Implements comprehensive divergence analysis using pivot point methodology with configurable lookback periods for both standard and hidden divergence patterns. The system validates divergence conditions through range analysis and provides visual confirmation through plot lines, labels, and color-coded identification for precise timing analysis.
15MIN
4H
12H
🔶 Flow Momentum Analysis Framework
Calculates flow momentum by measuring oscillator deviation from its exponential moving average, providing secondary confirmation of volume flow dynamics. The system creates momentum-based fills and visual indicators that complement the primary oscillator analysis for comprehensive market flow assessment.
🔶 Extreme Zone Detection Engine
Features sophisticated extreme zone identification at ±98 levels with specialized marker system including white X markers for signals occurring in extreme territory and directional triangles for potential reversal points. The system provides clear visual feedback for overbought/oversold conditions with institutional-level threshold accuracy.
🔶 Dynamic Visual Architecture
Provides advanced visualization engine with bullish/bearish color transitions, dynamic fill regions between oscillator and signal lines, and flow momentum overlay with configurable transparency levels. The system includes flip markers aligned to color junction points for precise signal timing with optional bar close confirmation to prevent repainting.
🔶 ADF Trend Filtering Integration
Incorporates Augmented Dickey-Fuller inspired trend filtering using normalized price statistics to enhance signal quality during trending versus ranging market conditions. The system calculates trend factors based on mean deviation and standard deviation analysis for improved oscillator accuracy across market regimes.
🔶 Comprehensive Alert System
Features intelligent multi-tier alert framework covering bullish/bearish flow detection, extreme zone reversals, and divergence confirmations with customizable message templates. The system provides real-time notifications for critical volume flow changes and structural market shifts with exchange and ticker integration.
🔶 Performance Optimization Framework
Utilizes efficient calculation methods with optimized variable management and configurable smoothing parameters to balance signal quality with computational efficiency. The system includes automatic pivot validation and range checking for consistent performance across extended analysis periods with minimal resource usage.
This indicator delivers sophisticated volume-weighted momentum analysis through advanced Fourier smoothing and comprehensive divergence detection capabilities. Unlike traditional volume oscillators that focus solely on volume patterns, the FSVZO integrates volume dynamics with price momentum and statistical trend filtering to provide institutional-grade flow analysis. The system's combination of extreme zone detection, intelligent divergence recognition, and multi-dimensional visual feedback makes it essential for traders seeking systematic approaches to volume-based market analysis across cryptocurrency, forex, and equity markets with clearly defined reversal and continuation signals.
EnsembleX📌 EnsembleX – Multi-Feature Voting Strategy
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//@fenyesk
🔹 Overview
EnsembleX is a multi-indicator ensemble trading strategy that combines price action, momentum, volume, and volatility signals into a unified consensus model. Instead of relying on a single indicator, EnsembleX uses a weighted voting system to determine trade entries and exits, making it more adaptive across different market conditions (crypto, forex, and equities).
The system calculates feature-engineered signals, normalizes them, applies lagged context, and then uses ensemble consensus weighting to decide whether to go long or short. An adaptive threshold (ATR-based) ensures risk-sensitive entries during volatile or quiet regimes.
🔹 Core Features
📈 Trend & Momentum Features
EMA Slope (f_slope): Captures directional bias and steepness of trend.
RSI (f_rsi): Measures overbought/oversold conditions with normalization.
CCI (f_cci): Detects price deviations from mean for extreme reversals.
ADX (f_adx, DMI+/-): Evaluates trend strength and directional dominance.
📊 Volatility Features
Standard Deviation (f_stdev): Captures volatility spikes relative to history.
Bollinger Band Position (f_bb): Measures where price sits within BB envelope.
Log Returns (f_logr): Tracks distribution-adjusted price changes.
💵 Volume-Based Features
MFI (f_mfi): Volume-weighted momentum confirming price moves.
Volume Pressure (f_vol): Combines normalized volume ratio with price change.
🧮 Feature Engineering
Normalization & Z-score scaling: Keeps features comparable across regimes.
Lag Features (optional): Adds short-term historical context to signals.
Composite Aggregates:
Momentum Composite (mom): RSI + CCI + MFI blend.
Trend Composite (trd): ADX + Slope blend.
Volatility Composite (volat): StDev + Volume blend.
🔹 Signal Generation
Each feature produces an expert signal (+1 bull, -1 bear, 0 neutral). Examples:
RSI rising from oversold → Bull signal.
ADX strong + DMI+ dominance → Bull signal.
Bollinger Band breakout + reversal → Bear signal.
Volume pressure > threshold → Directional confirmation.
🔹 Ensemble Voting Mechanism
Each signal is assigned a weight (weight_rsi, weight_adx, weight_mfi, etc.).
Final bull/bear confidence is computed as a weighted probability.
Trades trigger only when consensus ≥ threshold.
Threshold adapts dynamically based on ATR / volatility regime.
🔹 Trading Logic
✅ Long Entry:
Bull consensus ≥ threshold and stronger than bear side.
✅ Short Entry:
Bear consensus ≥ threshold and stronger than bull side.
✅ Optional Exits:
Close on opposite signal flip (configurable by position side).
🔹 Visualization
Plots bull and bear confidence curves.
Plots both base threshold and adaptive ATR-adjusted threshold.
Easy to see how consensus builds before trades trigger.
⚡ Key Benefits
Robustness: Reduces reliance on any single indicator.
Flexibility: Works across assets and timeframes (crypto, forex, stocks).
Adaptive: Threshold adjusts automatically in volatile or quiet markets.
Transparency: Plotted consensus and threshold lines make signals easy to interpret.
📢 Usage Notes
Best used on 1h–4h for swing trades, or 5m–15m for intraday setups.
Combine with risk management (TP/SL, position sizing) for live trading.
Ensemble weights (weight_rsi, weight_adx, etc.) can be tuned per asset.
👉 This script is designed for backtesting and research. Results vary depending on the asset, timeframe, and parameter tuning.
Super SignalWhen all lines are below the 20 line its a super signal to buy. When all trends are above the 80 line it is a super signal to sell.
Trinity Multi-Timeframe MA TrendOriginal script can be found here: {Multi-Timeframe Trend Analysis } www.tradingview.com
1. all credit the original author www.tradingview.com
2. why change this script:
- added full transparency function to each EMA
- changed to up and down arrows
- change the dashboard to be able to resize and reposition
How to Use This Indicator
This indicator, "Trinity Multi-Timeframe MA Trend," is designed for TradingView and helps visualize Exponential Moving Average (EMA) trends across multiple timeframes. It plots EMAs on your chart, fills areas between them with directional colors (up or down), shows crossover/crossunder labels, and displays a dashboard table summarizing EMA directions (bullish ↑ or bearish ↓) for selected timeframes. It's useful for multi-timeframe analysis in trading strategies, like confirming trends before entries.
Configure Settings (via the Gear Icon on the Indicator Title):
Timeframes Group: Set up to 5 custom timeframes (e.g., "5" for 5 minutes, "60" for 1 hour). These determine the multi-timeframe analysis in the dashboard. Defaults: 5m, 15m, 1h, 4h, 5h.
EMA Group: Adjust the lengths of the 5 EMAs (defaults: 5, 10, 20, 50, 200). These are the moving averages plotted on the chart.
Colors (Inline "c"): Choose uptrend color (default: lime/green) and downtrend color (default: purple). These apply to plots, fills, labels, and dashboard cells.
Transparencies Group: Set transparency levels (0-100) for each EMA's plot and fill (0 = opaque, 100 = fully transparent). Defaults decrease from EMA1 (80) to EMA5 (0) for a gradient effect.
Dashboard Settings Group (newly added):
Dashboard Position: Select where the table appears (Top Right, Top Left, Bottom Right, Bottom Left).
Dashboard Size: Choose text size (Tiny, Small, Normal, Large, Huge) to scale the table for better visibility on crowded charts.
Understanding the Visuals:
EMA Plots: Five colored lines on the chart (EMA1 shortest, EMA5 longest). Color changes based on direction: uptrend (your selected up color) if rising, downtrend (down color) if falling.
Fills Between EMAs: Shaded areas between consecutive EMAs, colored and transparent based on the faster EMA's direction and your transparency settings.
Crossover Labels: Arrow labels (↑ for crossover/uptrend start, ↓ for crossunder/downtrend start) appear on the chart at EMA direction changes, with tooltips like "EMA1".
Dashboard Table (top-right by default):
Rows: EMA1 to EMA5 (with lengths shown).
Columns: Selected timeframes (converted to readable format, e.g., "5m", "1h").
Cells: ↑ (bullish/up) or ↓ (bearish/down) arrows, colored green/lime or purple based on trend, with fading transparency for visual hierarchy.
Use this to quickly check alignment across timeframes (e.g., all ↑ in multiple TFs might signal a strong uptrend).
Trading Tips:
Trend Confirmation: Look for alignment where most EMAs in higher timeframes are ↑ (bullish) or ↓ (bearish).
Entries/Exits: Use crossovers on the chart EMAs as signals, confirmed by the dashboard (e.g., enter long if lower TF EMA crosses up and higher TFs are aligned).
Customization: On lower timeframe charts, set dashboard timeframes to higher ones for top-down analysis. Adjust transparencies to avoid chart clutter.
Limitations: This is a trend-following tool; combine with volume, support/resistance, or other indicators. Backtest on historical data before live use.
Performance: Works best on trending markets; may whipsaw in sideways conditions.
SatoshiFrame Pivot DetectorThis script detects pivot highs and lows on the chart and plots the last three pivots as fixed horizontal rays that do not shift when the chart moves. It also optionally displays labels for each pivot and can color the levels based on strength thresholds.
EMA50 + SR Boxes + VP Right + ATR + SL% + Entries + SentimentThis indicator combines several pro-grade building blocks to read the market at a glance:
EMA50 as a trend filter.
Smart Support/Resistance zones (rectangles) detected where price has touched multiple times.
“U / Inverted U” markers (confirmed pivots).
Optional Buy/Sell signals: only when a U appears inside a support zone with price above the EMA50 (buy), or an inverted U inside a resistance zone with price below the EMA50 (sell).
Simplified right-side Volume Profile (with a special Forex fallback if volume isn’t usable).
ATR & SL%: displays current ATR and an SL% based on ATR(100) Daily / Close × 100, attached to the latest candle.
Flux Power Dashboard (Updated and Renamed)Flux Power Dashboard is a compact market-state heads-up display for TradingView. It blends trend, momentum, and volume-flow into a single on-chart panel with color-coded cues and minimal lag. You get:
Clean visual trend via fast/slow MA with slope/debounce filters
MACD state and most recent cross (with “freshness” tint)
OBV confirmation and gating to reduce noise
Session awareness (Asia/London/New York + pre-sessions + overlap)
Optional HTF Regime row and regime gate to align signals to higher-timeframe bias
Context from VIX/VXN (volatility regime)
A single Flux Score (0–100) as a top-level read
It is deliberately “dashboard-first”: fast to read, consistent between symbols/timeframes, and designed to limit overtrading in chop.
What it can do (capabilities)
Signal gating: You can require multiple pillars to agree (Trend, MACD, OBV) before a “strong” bias is shown.
Debounced trend: Uses slope + confirmation bars to avoid flip-flopping.
Session presets: Auto-adjust the minimum confirmation bars by session (e.g., NY vs London vs Asia) to better match liquidity/volatility.
MACD presets: Quick switch between Scalp / Classic / Slow or roll your own custom speeds.
OBV confirmation: Volume flow must agree for trend/entries to “count” (optional).
HTF Regime awareness: Shows the higher-timeframe backdrop and (optionally) gates signals so you don’t fight the dominant trend.
Volatility context: VIX/VXN auto-colored cells based on your thresholds.
Top-center Session Title: Broadcasts the active session (or Overlap) with a matched background color.
Customizable UI: Column fonts, params font, transparency, dashboard corner, marker styles, colors, widths—tune it to your chart.
Practical use: Start with Flux Score + Summary for a snapshot, confirm with Trend & MACD, check OBV agreement (implicit in signal strength), glance at Regime to avoid counter-trend trades, and use Session + VIX/VXN for timing and risk context.
How it avoids common pitfalls
Repaint-aware: “Confirm on Close” can be enabled to read prior bar states, reducing intrabar noise.
Auto MA sanity: If fast ≥ slow length, it auto-swaps under the hood to keep calculations valid.
Debounce & confirm: Trend flips only after X bars satisfy conditions, cutting false flips in chop.
Freshness tint: New Cross/Signal rows tint slightly brighter for a few bars, so you can spot recency at a glance.
Every line of the dashboard (what it shows, how it’s colored)
Flux Score
What: Composite 0–100 built from three pillars: Trend (40%), MACD (30%), OBV (30%).
Read: ≥70 Bullish, ≤30 Bearish, else Neutral.
Use: Quick “state of play” gauge—stronger alignment pushes the score toward extremes.
Regime (optional row)
What: Higher-timeframe (your Regime TF) backdrop using the same MA pair with HTF slope/ATR buffer.
Values: Bull / Bear / Range.
Gate (optional): If Regime Gate is ON, Trend/Signals only go directional when HTF agrees.
Summary
What: One-line narrative combining the three pillars: MACD (up/down/flat), OBV (up/down/flat), Trend (up/down/flat).
Use: Human-readable cross-check; should rhyme with Flux Score.
Trend
What: Debounced MA relationship on the current chart.
Strict: needs fast > slow and slow rising (mirror for down) + slope debounce + confirmation bars.
Lenient: allows fast > slow or slow rising (mirror for down) with the same debounce/confirm.
Color: Green = UP, Red = DOWN, Gray = FLAT.
Use: Your structural bias on the trading timeframe.
MACD
What: Current MACD line vs signal, using your selected preset (or custom).
Values: Bull (line above), Bear (below), Flat (equal/indeterminate).
Color: Green/Red/Gray.
Cross
What: Most recent MACD cross and how many bars ago it occurred (e.g., “MACD XUP | 3 bars”).
Freshness: If the cross happened within Fresh Signal Tint bars, the cell brightens slightly.
Use: Timing helper for inflection points.
Signal
What: Latest directional shift (from short-bias to long-bias or vice versa) and age in bars.
Strength:
Strong = Trend + MACD + OBV all align
Weak = partial alignment (e.g., Trend + MACD, or Trend + OBV)
Color: Green for long bias, Red for short bias; fresh signals tint brighter.
Use: Action cue—treat Strong as higher quality; Weak as situational.
MA
What: Your slow MA type and length, plus slope direction (“up”/“down”).
Use: Context even when Trend is FLAT; slope often turns before full trend flips.
Session
What: Current market session by Eastern Time: New York / London / Asia, Pre- windows, Overlap, or Off-hours.
Logic: If ≥2 main sessions are active, shows Overlap (and grays the top title background).
Use: Timing and expectations for liquidity/volatility; also drives session-based confirmation presets if enabled.
VIX
What: Real-time CBOE:VIX on your chosen TF.
Auto-color (if on):
Calm (< Calm) → Green
Watch (< Watch) → Yellow
Elevated (< Elevated) → Orange
Very High (≥ Elevated) → Red
Use: Equity market–wide risk mood; higher = bigger moves, lower = quieter.
VXN
What: CBOE:VXN (Nasdaq volatility index) on your chosen TF.
Auto-color thresholds like VIX.
Use: Tech-heavy risk mood; helpful for growth/QQQ/NDX names.
Footer (params row, bottom-right)
What: Key live settings so you always know the context:
P= Trend Confirmation Bars
O= OBV Confirmation Bars
Strict/Lenient (trend mode)
MACD preset (or “Custom”)
swap if MA lengths were auto-swapped for validity
Regime gate if enabled
Candles for clarity
Use: Quick integrity check when comparing charts/screenshots or changing presets.
Recommended workflow
Start at Flux Score & Summary → snapshot of alignment.
Check Trend (color) and MACD (Bull/Bear).
Look at Signal (Strong vs Weak, and age).
Glance at Regime (and use gate if you’re trend-following).
Use Session + VIX/VXN to adjust expectations (breakout vs mean-revert, risk sizing, patience).
Keep Confirm on Close ON when you want stability; turn it OFF for faster (but noisier) reads.
Notes & limitations
Not advice: This is an informational tool; always combine with your own risk rules.
Repaint vs responsiveness: With “Confirm on Close” OFF you’ll see faster state changes but may get more churn intrabar.
Presets matter: Scalp MACD reacts fastest; Slow reduces whipsaw. Choose for your timeframe.
Session windows depend on the strings you set; adjust if your broker’s feed or DST handling needs tweaks.
Supertrend DashboardOverview
This dashboard is a multi-timeframe technical indicator dashboard based on Supertrend. It combines:
Trend detection via Supertrend
Momentum via RSI and OBV (volume)
Volatility via a basic candle-based metric (bs)
Trend strength via ADX
Multi-timeframe analysis to see whether the trend is bullish across different timeframes
It then displays this info in a table on the chart with colors for quick visual interpretation.
2️⃣ Inputs
Dashboard settings:
enableDashboard: Toggle the dashboard on/off
locationDashboard: Where the table appears (Top right, Bottom left, etc.)
sizeDashboard: Text size in the table
strategyName: Custom name for the strategy
Indicator settings:
factor (Supertrend factor): Controls how far the Supertrend lines are from price
atrLength: ATR period for Supertrend calculation
rsiLength: Period for RSI calculation
Visual settings:
colorBackground, colorFrame, colorBorder: Control dashboard style
3️⃣ Core Calculations
a) Supertrend
Supertrend is a trend-following indicator that generates bullish or bearish signals.
Logic:
Compute ATR (atr = ta.atr(atrLength))
Compute preliminary bands:
upperBand = src + factor * atr
lowerBand = src - factor * atr
Smooth bands to avoid false flips:
lowerBand := lowerBand > prevLower or close < prevLower ? lowerBand : prevLower
upperBand := upperBand < prevUpper or close > prevUpper ? upperBand : prevUpper
Determine direction (bullish / bearish):
dir = 1 → bullish
dir = -1 → bearish
Supertrend line = lowerBand if bullish, upperBand if bearish
Output:
st → line to plot
bull → boolean (true = bullish)
b) Buy / Sell Trigger
Logic:
bull = ta.crossover(close, supertrend) → close crosses above Supertrend → buy signal
bear = ta.crossunder(close, supertrend) → close crosses below Supertrend → sell signal
trigger → checks which signal was most recent:
trigger = ta.barssince(bull) < ta.barssince(bear) ? 1 : 0
1 → Buy
0 → Sell
c) RSI (Momentum)
rsi = ta.rsi(close, rsiLength)
Logic:
RSI > 50 → bullish
RSI < 50 → bearish
d) OBV / Volume Trend (vosc)
OBV tracks whether volume is pushing price up or down.
Manual calculation (safe for all Pine versions):
obv = ta.cum( math.sign( nz(ta.change(close), 0) ) * volume )
vosc = obv - ta.ema(obv, 20)
Logic:
vosc > 0 → bullish
vosc < 0 → bearish
e) Volatility (bs)
Measures how “volatile” the current candle is:
bs = ta.ema(math.abs((open - close) / math.max(high - low, syminfo.mintick) * 100), 3)
Higher % → stronger candle moves
Displayed on dashboard as a number
f) ADX (Trend Strength)
= ta.dmi(14, 14)
Logic:
adx > 20 → Trending
adx < 20 → Ranging
g) Multi-Timeframe Supertrend
Timeframes: 1m, 3m, 5m, 10m, 15m, 30m, 1H, 2H, 4H, 12H, 1D
Logic:
for tf in timeframes
= request.security(syminfo.tickerid, tf, f_supertrend(ohlc4, factor, atrLength))
array.push(tf_bulls, bull_tf ? 1.0 : 0.0)
bull_tf ? 1.0 : 0.0 → converts boolean to number
Then we calculate user rating:
userRating = (sum of bullish timeframes / total timeframes) * 10
0 → Strong Sell, 10 → Strong Buy
4️⃣ Dashboard Table Layout
Row Column 0 (Label) Column 1 (Value)
0 Strategy strategyName
1 Technical Rating textFromRating(userRating) (color-coded)
2 Current Signal Buy / Sell (based on last Supertrend crossover)
3 Current Trend Bullish / Bearish (based on Supertrend)
4 Trend Strength bs %
5 Volume vosc → Bullish/Bearish
6 Volatility adx → Trending/Ranging
7 Momentum RSI → Bullish/Bearish
8 Timeframe Trends 📶 Merged cell
9-19 1m → Daily Bullish/Bearish for each timeframe (green/red)
5️⃣ Color Logic
Green shades → bullish / trending / buy
Red / orange → bearish / weak / sell
Yellow → neutral / ranging
Example:
dashboard_cell_bg(1, 1, colorFromRating(userRating))
dashboard_cell_bg(1, 2, trigger ? color.green : color.red)
dashboard_cell_bg(1, 3, superBull ? color.green : color.red)
Makes the dashboard visually intuitive
6️⃣ Key Logic Flow
Calculate Supertrend on current timeframe
Detect buy/sell triggers based on crossover
Calculate RSI, OBV, Volatility, ADX
Request Supertrend on multiple timeframes → convert to 1/0
Compute user rating (percentage of bullish timeframes)
Populate dashboard table with colors and values
✅ The result: You get a compact, fast, multi-timeframe trend dashboard that shows:
Current signal (Buy/Sell)
Current trend (Bullish/Bearish)
Momentum, volatility, and volume cues
Trend across multiple timeframes
Overall technical rating
It’s essentially a full trend-strength scanner directly on your chart.
Buy and Sell Signals (Altius Consulting)Generates Buy and Sell signals based on MACD and RSI.
- Plots MACD, Signal & Histogram (optional pane).
- Buy Label (toggle): Bullish MACD crossover + RSI < threshold (no convergence requirement).
- Sell Label: Bearish MACD crossover (MACD crosses below Signal) prints a SELL tag.
- Alert: Provided for convergence-based buy condition (add your own for simple crossover if desired).
Buyer vs Seller Control BUYER vs SELLER CONTROL INDICATOR
Identify market dominance and potential trend shifts with wick analysis
What This Indicator Measures:
This indicator analyzes who controls the market by measuring the battle between buyers and sellers on each candle:
Buyer Control: How far the closing price is above the candle's low (bottom wick strength)
Seller Control: How far the closing price is below the candle's high (top wick strength)
What's Plotted:
Lime Line: 20-period moving average of buyer control
Fuchsia Line: 20-period moving average of seller control
Dynamic Fill: Area between lines - color shows who's winning
Histogram: Shows the difference between buyer and seller control
Control Label: Text showing current market dominance
Info Table: Real-time values and control strength percentage
How to Read the Signals:
🟢 LIME FILL = BUYERS IN CONTROL
When the lime line is above fuchsia, buyers are dominating. The brighter the fill, the stronger their control.
🔴 FUCHSIA FILL = SELLERS IN CONTROL
When the fuchsia line is above lime, sellers are dominating. The brighter the fill, the stronger their control.
Trading Applications:
Trend Confirmation: Strong buyer control confirms uptrends, strong seller control confirms downtrends
Reversal Signals: Watch for control shifts - when lines cross, momentum may be changing
Entry Timing: Enter long when buyer control strengthens, short when seller control strengthens
Market Structure: Persistent control by one side suggests strong directional bias
Key Features:
Works on any timeframe
Customizable moving average period (default: 20)
Optional info table display
Dynamic transparency shows control strength
Clean visual design for both dark and light themes
Pro Tip: Use this with your favorite trend or momentum indicators for confluence. Strong buyer/seller control often precedes significant price moves!
// Based on wick analysis and moving averages
// Green = Buyers dominating market
// Red = Sellers dominating market
// Fill intensity = Control strength
[Outperforms Bitcoin Since 2011] Professional MA StrategyThis Strategy OUTPEFORMS Bitcoin since 2011.
Timeframe: Daily
MA used (Fast and Slow): WMA (Weighted Moving Average)
Fast MA Length: 30 days (Reflects the Monthly Trend - Short Term Perspective)
Slow MA Length: 360 days (Reflects the Annual Trend - Long Term Perspective)
Position Size: 100% of equity
Margin for Long = 10% of equity
Margin for Short = 10% of equity
Open Long = Typical Price Crosses Above its Fast MA and Price is above its Slow MA
Open Short = Typical Price Crosses Below its Fast MA and Price is below its Slow MA
Close Long = Typical Price Crosses Below its Fast MA
Close Short = Typical Price Crosses Below its Fast MA
note: Typical Price = (high + low + close) / 3
Z-Score For Loop | MisinkoMasterThe Z-Score For Loop (ZSFL) is a unique trend-following oscillator designed to detect potential reversals and momentum shifts earlier than traditional tools, providing traders with fast, adaptive, and reliable signals.
Unlike common smoothing techniques (moving averages, medians, or modes), the ZSFL introduces a for-loop comparison method that balances speed and noise reduction, resulting in a powerful reversal-detection system.
🔎 Methodology
The indicator is built in two main stages:
Z-Score Calculation
Formula:
Z=(Source−Mean)/Standard Deviation
Z=
Standard Deviation
(Source−Mean)
The user can select the averaging method for the mean: SMA, EMA, WMA, HMA, DEMA, or TEMA.
Recommended: EMA, SMA, or WMA for balanced accuracy.
The choice of biased (sample) or unbiased (population) standard deviation is also available.
➝ On its own, the raw Z-score is fast but noisy, requiring additional filtering.
For Loop Logic (Noise Reduction)
Instead of using traditional smoothing (which adds lag), the indicator applies a for loop comparison.
The current Z-score is compared against previous values over a user-defined range (start → end).
Each comparison adds or subtracts “points”:
+1 point if the current Z-score is higher than a past Z-score.
-1 point if it is lower.
The final value is the cumulative score, reflecting whether the Z-score is generally stronger or weaker than its historical context.
➝ This approach keeps speed intact while removing much of the false noise that raw Z-scores generate.
📈 Trend Logic
Bullish Signal (Cyan) → Triggered when the score crosses above the upper threshold (default +45).
Bearish Signal (Magenta) → Triggered when the score crosses below the lower threshold (default -25).
Neutral → When the score remains between the thresholds.
Thresholds are adjustable, making the tool flexible for different assets and timeframes.
🎨 Visualization
The ZSFL score is plotted as a main oscillator line.
Upper and lower thresholds are plotted as static reference levels.
The price chart can also be color-coded with trend signals (cyan for bullish, magenta for bearish) to provide immediate visual confirmation.
⚡ Features
Adjustable Z-score length (len).
Multiple average types for the mean (SMA, EMA, WMA, HMA, DEMA, TEMA).
Toggle between biased vs. unbiased SD calculations.
Adjustable For Loop range (start, end).
Adjustable upper and lower thresholds for signal generation.
Works as both an oscillator and a price overlay tool.
✅ Use Cases
Reversal Detection → Spot early shifts before price confirms them.
Trend Confirmation → Use thresholds to filter false reversals.
System Filter → Combine with trend indicators to refine entries.
Multi-Timeframe Setup → Works well across different timeframes for swing, day, or intraday trading.
⚠️ Limitations
As with all oscillators, the ZSFL will generate false signals in sideways/choppy markets.
Optimal parameters (length, loop size, thresholds) may differ across assets.
It is not a standalone trading system — use alongside other forms of analysis (trend filters, volume, higher timeframe confluence).
EnsembleX📌 EnsembleX – Multi-Feature Voting Strategy
//@version=5
//@fenyesk
🔹 Overview
EnsembleX is a multi-indicator ensemble trading Strategy that combines price action, momentum, volume, and volatility signals into a unified consensus model. Instead of relying on a single indicator, EnsembleX uses a weighted voting system to determine trade entries and exits, making it more adaptive across different market conditions (crypto, forex, and equities).
The system calculates feature-engineered signals, normalizes them, applies lagged context, and then uses ensemble consensus weighting to decide whether to go long or short. An adaptive threshold (ATR-based) ensures risk-sensitive entries during volatile or quiet regimes.
🔹 Core Features
📈 Trend & Momentum Features
EMA Slope (f_slope): Captures directional bias and steepness of trend.
RSI (f_rsi): Measures overbought/oversold conditions with normalization.
CCI (f_cci): Detects price deviations from mean for extreme reversals.
ADX (f_adx, DMI+/-): Evaluates trend strength and directional dominance.
📊 Volatility Features
Standard Deviation (f_stdev): Captures volatility spikes relative to history.
Bollinger Band Position (f_bb): Measures where price sits within BB envelope.
Log Returns (f_logr): Tracks distribution-adjusted price changes.
💵 Volume-Based Features
MFI (f_mfi): Volume-weighted momentum confirming price moves.
Volume Pressure (f_vol): Combines normalized volume ratio with price change.
🧮 Feature Engineering
Normalization & Z-score scaling: Keeps features comparable across regimes.
Lag Features (optional): Adds short-term historical context to signals.
Composite Aggregates:
Momentum Composite (mom): RSI + CCI + MFI blend.
Trend Composite (trd): ADX + Slope blend.
Volatility Composite (volat): StDev + Volume blend.
🔹 Signal Generation
Each feature produces an expert signal (+1 bull, -1 bear, 0 neutral). Examples:
RSI rising from oversold → Bull signal.
ADX strong + DMI+ dominance → Bull signal.
Bollinger Band breakout + reversal → Bear signal.
Volume pressure > threshold → Directional confirmation.
🔹 Ensemble Voting Mechanism
Each signal is assigned a weight (weight_rsi, weight_adx, weight_mfi, etc.).
Final bull/bear confidence is computed as a weighted probability.
Trades trigger only when consensus ≥ threshold.
Threshold adapts dynamically based on ATR / volatility regime.
🔹 Trading Logic
✅ Long Entry:
Bull consensus ≥ threshold and stronger than bear side.
✅ Short Entry:
Bear consensus ≥ threshold and stronger than bull side.
✅ Optional Exits:
Close on opposite signal flip (configurable by position side).
🔹 Visualization
Plots bull and bear confidence curves.
Plots both base threshold and adaptive ATR-adjusted threshold.
Easy to see how consensus builds before trades trigger.
⚡ Key Benefits
Robustness: Reduces reliance on any single indicator.
Flexibility: Works across assets and timeframes (crypto, forex, stocks).
Adaptive: Threshold adjusts automatically in volatile or quiet markets.
Transparency: Plotted consensus and threshold lines make signals easy to interpret.
📢 Usage Notes
Best used on 1h–4h for swing trades, or 5m–15m for intraday setups.
Combine with risk management (TP/SL, position sizing) for live trading.
Ensemble weights (weight_rsi, weight_adx, etc.) can be tuned per asset.
👉 This script is designed for backtesting and research. Results vary depending on the asset, timeframe, and parameter tuning.
leventtazeleventtaze is an open-source, arrow-based entry indicator designed for multi-markets: crypto, forex, gold and commodities.
It blends trend logic from EMA21/55 cross and EMA200 bias with an ADX filter and a dotted stop (simple supertrend-like line).
A green cloud highlights the EMA89-EMA200 zone, while a purple ATR channel visualizes expansion boundaries.
Entries appear as up/down arrows for clarity. Exits can be managed with TP1/TP2 target lines and an optional trailing stop (breakeven+).
For crypto only, BTC confirmation is used: BTC vs 200EMA and BTC.D/USDT.D context. For non-crypto markets this confirmation is off by default.
The tool supports any symbol and timeframe. It also includes alerts: BUY, SELL, EXIT, PUMP/DUMP and Upper/Lower Wick traps.
Recommended usage: confirm on bar close for stability; if you want more signals, lower the ADX threshold and cooldown; if you want higher quality, raise ADX and use higher timeframes.
Known limits: sideways markets can produce fake breakouts; increase ADX in choppy conditions.
This script does not repaint on closed bars. Educational only; not financial advice.
Analitica Trading — Previous Day SR (2 lines + labels) 2.0📊 Analitica Trading — Previous Day SR (Support & Resistance)
This indicator displays the previous day’s key levels on any timeframe:
Prev High → Green horizontal line with label.
Prev Low → Red horizontal line with label.
🔹 Stable across timeframes: The levels are calculated from the daily candles and remain fixed, no matter if you switch to 1D, 1H, or 5m.
🔹 Simple & clean: Exactly two lines only (no duplicates).
🔹 Price labels included: Each line has a clear tag showing the exact level.
🔹 Dynamic update: Lines refresh automatically at the start of each new daily session.
🔹 Alerts: Optional alerts trigger when the price breaks above the Prev High or below the Prev Low.
💡 Ideal for support/resistance trading, breakouts, and Smart Money Concepts (SMC) strategies.
Synthetic Point & Figure on RSIHere is a detailed description and user guide for the Synthetic Point & Figure RSI indicator, including how to use it for long and short trade considerations:
*
## Synthetic Point & Figure RSI Indicator – User Guide
### What It Is
This indicator applies classic Point & Figure (P&F) charting logic to the Relative Strength Index (RSI) instead of price. It transforms the RSI into synthetic “P&F candles” that filter out noise and highlight significant momentum moves and reversals based on configurable box size and reversal settings.
### How It Works
- The RSI is calculated normally over the selected length.
- The P&F engine tracks movements in the RSI above or below a defined “box size,” creating columns that switch direction only after a larger reversal.
- The synthetic candles connect these filtered RSI values visually, reducing false noise and emphasizing strong RSI trends.
- Optional EMA and SMA overlays on the synthetic P&F RSI allow smoother trend signals.
- Reference RSI levels at 33, 40, 50, 60, and 66 provide further context for momentum strength.
### How to Use for Trading
#### Long (Buy) Considerations
- The synthetic P&F RSI candle direction flips to *up (green candles)* indicating strength in momentum.
- Look for the RSI P&F value moving above the *40 or 50 level*, suggesting increasing bullish momentum.
- Confirmation is stronger if the synthetic RSI is above the EMA or SMA overlays.
- Ideal entries are after a reversal from a synthetic P&F downtrend (red candles) to an uptrend (green candles) near or above these levels.
#### Short (Sell) Considerations
- The candle direction flips to *down (red candles)*, showing weakening momentum or bearish reversal.
- Monitor if the synthetic RSI falls below the *60 or 50 level*, signaling momentum loss.
- Confirm bearish bias if the price is below the EMA or SMA overlays.
- Exit or short positions are signaled when the synthetic candle reverses from green to red near or below these threshold levels.
### Important RSI Levels to Watch
- *Level 33*: Lower bound indicating deep oversold conditions.
- *Level 40*: Early bullish zone suggesting momentum improvement.
- *Level 50*: Neutral midpoint; crossing above often signals bullish strength, below signals weakness.
- *Level 60*: Advanced bullish momentum; breaking below signals potential reversal.
- *Level 66*: Strong overbought area warning of possible pullback.
### Tips
- Use in conjunction with price action analysis and other volume/trend indicators for higher conviction.
- Adjust box size and reversal settings based on instrument volatility and timeframe for ideal filtering.
- The P&F RSI is best for identifying sustained momentum trends and avoiding false RSI whipsaws.
- Combine this indicator’s signals with stop-loss and risk management strategies.
*
This indicator converts RSI momentum analysis into a simplified, noise-filtered P&F chart format, helping traders better visualize and trade momentum shifts. It is especially useful when RSI signal noise can cause confusion in volatile markets.
Let me know if you want me to generate a shorter summary or code alerts based on these levels!
Sources
Relative Strength Index (RSI) — Indicators and Strategies in.tradingview.com
Indicators and strategies in.tradingview.com
Relative Strength Index (RSI) Indicator: Tutorial www.youtube.com
Stochastic RSI (STOCH RSI) in.tradingview.com
RSI Strategy docs.algotest.in
Stochastic RSI Indicator: Tutorial www.youtube.com
Relative Strength Index (RSI): What It Is, How It Works, and ... www.investopedia.com
rsi — Indicators and Strategies in.tradingview.com
Relative Strength Index (RSI) in.tradingview.com
Relative Strength Index (RSI) — Indicators and Strategies www.tradingview.com
ICT Daily Bias based on weekly by RKGiven that Weekly bias is determined ,This indicator helps you to identify the Daily Bias.
So best of this indicator to determine Daily bias is to first Implement it on weekly and then Daily
If weekly and Daily both are bullish then look for LONG in lower timeframe.
If weekly and Daily both are bearish then look for SHORTS in lower timeframe.
Weekend Hunter Ultimate v6.2 Weekend Hunter Ultimate v6.2 - Automated Crypto Weekend Trading System
OVERVIEW:
Specialized trading strategy designed for cryptocurrency weekend markets (Saturday-Sunday) when institutional traders are typically offline and market dynamics differ significantly from weekdays. Optimized for 15-minute timeframe execution with multi-timeframe confluence analysis.
KEY FEATURES:
- Weekend-Only Trading: Automatically activates during configurable weekend hours
- Dynamic Leverage: 5-20x leverage adjusted based on market safety and signal confidence
- Multi-Timeframe Analysis: Combines 4H trend, 1H momentum, and 15M execution
- 10 Pre-configured Crypto Pairs: BTC, ETH, LINK, XRP, DOGE, SOL, AVAX, PEPE, TON, POL
- Position & Risk Management: Max 4 concurrent positions, -30% account protection
- Smart Trailing Stops: Protects profits when approaching targets
RISK MANAGEMENT:
- Maximum daily loss: 5% (configurable)
- Maximum weekend loss: 15% (configurable)
- Per-position risk: Capped at 120-156 USDT
- Emergency stops for flash crashes (8% moves)
- Consecutive loss protection (4 losses = pause)
TECHNICAL INDICATORS:
- CVD (Cumulative Volume Delta) divergence detection
- ATR-based dynamic stop loss and take profit
- RSI, MACD, Bollinger Bands confluence
- Volume surge confirmation (1.5x average)
- Weekend liquidity adjustments
INTEGRATION:
- Designed for Bybit Futures (0.075% taker fee)
- WunderTrading webhook compatibility via JSON alerts
- Minimum position size: 120 USDT (Bybit requirement)
- Initial capital: $500 recommended
TARGET METRICS:
- Win rate target: 65%
- Average win: 5.5%
- Average loss: 1.8%
- Risk-reward ratio: ~3:1
IMPORTANT DISCLAIMERS:
- Past performance does not guarantee future results
- Leveraged trading carries substantial risk of loss
- Weekend crypto markets have 13% of normal liquidity
- Not suitable for traders who cannot afford to lose their entire investment
- Requires continuous monitoring and adjustment
USAGE:
1. Apply to 15-minute charts only
2. Configure weekend hours for your timezone
3. Set up webhook alerts for automation
4. Monitor performance table in top-right corner
5. Adjust parameters based on your risk tolerance
This is an experimental strategy for educational purposes. Always test with small amounts first and never invest more than you can afford to lose completely.
