Silver LTCSilver LTC — это эксклюзивный индикатор, который помогает визуально отслеживать ключевые уровни на графике #LTC к серебру. Он упрощает принятие решений, показывая важные зоны исторического интереса. Идеален для трейдеров, которые ценят наглядность и точность.
На графике отображается благоприятные зоны к покупке LTC и также его частичной фиксации! Все риски вы берете на себя, это дополнительный инструмент для принятия решения! Работает только на графике LTCUSD!
🔥 Следите за обновлениями и полезными советами на моём канале в Telegram:
— инвестируем только когда страх и всё красное! 💰
English:
Silver LTC is an exclusive indicator designed to highlight key historical levels on the #LTC to silver chart. It helps traders make informed decisions by visually showing areas of potential interest. Perfect for those who value clarity and precision.
The chart displays favorable zones for buying LTC and partially locking in some of its value! You assume all risks; this is just an additional tool for making decisions! Only works on the LTCUSD chart.
🔥 Follow my Telegram channel for updates and insights:
— we invest only when fear dominates and everything turns red! 💰
Bandas e Canais
DTrend & Volume Strong BUY Signal: Look for a green WMA, combined with a green circle and a blue triangle.
Bollinger Band Oscillator (Distance between 2 bands)📌 Bollinger Band Width Oscillator
Description
This indicator measures the distance between the Upper and Lower Bollinger Bands and displays it as an oscillator. It is designed to help traders track squeeze (contraction) and expansion phases in the market, which often precede significant price moves.
Calculation
Bollinger Bands are built from a moving average (MA) and standard deviation.
Band Width = Upper Band – Lower Band.
Users can normalize the width in three ways:
Absolute: raw value in price units.
% of Basis: width relative to the MA (useful for cross-asset or multi-timeframe comparison).
ATR-normalized: width divided by ATR, filtering out absolute volatility effects.
Interpretation
Low oscillator values → Bands are contracting → market is consolidating, often a precursor to volatility breakouts.
High oscillator values → Bands are expanding → market is experiencing strong volatility or following a breakout.
The included Signal line can help identify turning points when the oscillator crosses above/below it.
Customization
Select MA type (SMA, EMA, SMMA, WMA, VWMA).
Adjust StdDev multiplier.
Choose normalization (Absolute, % Basis, ATR).
Optional smoothing and histogram/line display.
👉 Practical Use:
Detect upcoming breakouts by spotting “squeeze” conditions.
Compare volatility regimes across assets or timeframes.
Enhance breakout or trend-following strategies with volatility context.
🔹 Short Description (for TradingView search/preview)
Measures the width of Bollinger Bands as an oscillator. Helps identify squeeze and expansion phases, anticipate breakouts, and track volatility across assets or timeframes.
Waves of Wealth Pair Trading RatioThis versatile indicator dynamically plots the ratio between two user-selected instruments, helping traders visualize relative performance and detect potential mean-reversion or trend continuation opportunities.
Features include:
User inputs for selecting any two instrument symbols for comparison.
Adjustable moving average period to track the average ratio over time.
Customizable standard deviation multiplier to define statistical bands for overbought and oversold conditions.
Visual display of the ratio line alongside upper and lower bands for clear trading signals.
Ideal for pair traders and market analysts seeking a flexible tool to monitor inter-asset relationships and exploit deviations from historical norms.
Simply set your preferred symbols and parameters to tailor the indicator to your trading style and assets of interest.
How to Use the Custom Pair Trading Ratio Indicator
Select symbols: Use the indicator inputs to set any two instruments you want to compare—stocks, commodities, ETFs, or indices. No coding needed, just type or select from the dropdown.
Adjust parameters: Customize the moving average length to suit your trading timeframe and style. The standard deviation multiplier lets you control sensitivity—higher values mean wider bands, capturing only larger deviations.
Interpret the chart:
The ratio line shows relative strength between the two instruments.
The middle line represents the average ratio (mean).
The upper and lower bands indicate statistical extremes where price action is usually overextended.
Trading signals:
Look to enter pair trades when the ratio moves outside the bands—expecting a return to the mean.
Use the bands and mean to set stop-loss and profit targets.
Combine with other analysis or fundamental insight for best results.
Ликвидации - LiqidИндикатор «Ликвид» показывает зоны сильного страха на рынке. Исторически такие зоны часто становятся благоприятными для покупки.
🔹 Сложный % инвестиции.
Покупаем, когда все красное и все боятся! 💰
Следите за нашим каналом в телеграмм, ссылка в профиле!
💰 Копилка Баффета
🚀 Крипторынок без розовых очков!
✅ Учимся у Баффета (даже в крипте это работает!)
////////////////////////
The "Liqid" indicator highlights fear zones in the market. Historically, these zones have been favorable for buying.
🔹 Complex % investment strategy.
We buy when everything is red and fear is high! 💰
Follow our channel Telegram! Check our profile!
💰 Buffett's Piggy Bank
🚀 Crypto market without rose-colored glasses!
✅ Learning from Buffett (even in crypto, it works!)
EASY GREENPEN V.1 - BTCUSDThis indicator automatically plots the 7 a.m. box (กรอบ 7 โมงเช้า) to highlight the most important market range of the day.
Why 7 a.m.?
The 7 a.m. candle often defines the daily high–low range and provides a key reference for intraday trading.
Breakouts or retests of this box frequently lead to high-probability setups.
Key Features:
Automatically draws the 7 a.m. box with adjustable session times.
Highlights potential breakout zones for intraday trades.
Simple and clean design for fast decision-making.
Works on multiple timeframes (recommended M5–H1).
This tool is designed for traders who want to focus on London/Asian session transitions and use the 7 a.m. range as a tactical advantage.
Disclaimer: This indicator is for educational purposes only. Trading involves risk – use proper risk management.
TradeIQ Trend Reversal Signal [TH]TradeIQ is designed to guide traders with predictive arrows that highlight potential market peaks and reversal zones. It also provides entry point guidance along with suggested TP/SL zones, giving you a practical framework for trade planning.
✅ Key Features:
• Predictive arrows for possible turning points
• Visual guide for entry opportunities
• Suggested TP/SL zones for trade management
• Scalping signals to capture quick, short-term opportunities
• Real-time momentum strength with intuitive up/down power arrows
• Multi-timeframe view of trend and momentum
• Regression Channel with dynamic Support & Resistance views
• Built-in Alerts so you never have to watch the screen all day
• Works across Forex, Gold, Crypto, and Indices
• Fully customizable to match your trading style
Built from years of trading experience, TradeIQ gives traders a clear visual roadmap to support decision-making — not rigid signals.
👉 Perfect for traders who want guidance, structure, and clarity in the markets.
Panchak Dates High/Low 2024-2025 - UpdatedThis is showing Panchak Periods High and Low and plot line on high value and low value
Double Median SD Bands | MisinkoMasterThe Double Median SD Bands (DMSDB) is a trend-following tool designed to capture market direction in a way that balances responsiveness and smoothness, filtering out excessive noise without introducing heavy lag.
Think of it like a house:
A jail (too restrictive) makes you miss opportunities.
No house at all (too unsafe) leaves you exposed to false signals.
DMSDB acts like a comfortable house with windows—protecting you from the noise while still letting you see what’s happening in the market.
🔎 Methodology
The script works in the following steps:
Standard Deviation (SD) Calculation
Computes the standard deviation of the selected price source (ohlc4 by default).
The user can choose whether to use biased (sample) or unbiased (population) standard deviation.
Raw Bands Construction
Upper Band = source + (SD × multiplier)
Lower Band = source - (SD × multiplier)
The multiplier can be adjusted for tighter or looser bands.
First Median Smoothing
Applies a median filter over half of the length (len/2) to both bands.
This reduces noise without creating excessive lag.
Second Median Smoothing
Applies another median filter over √len to the already smoothed bands.
This produces a balance:
Cutting the length → maintains responsiveness.
Median smoothing → reduces whipsaws.
The combination creates a fast yet clean band system ideal for trend detection.
📈 Trend Logic
The trend is detected based on price crossing the smoothed bands:
Long / Bullish (Purple) → when price crosses above the upper band.
Short / Bearish (Gold) → when price crosses below the lower band.
Neutral → when price remains between the bands.
🎨 Visualization
Upper and lower bands are plotted as colored lines.
The area between the bands is filled with a transparent zone that reflects the current bias:
Purple shading = Bullish zone.
Golden shading = Bearish zone.
This creates a visual tunnel for trend confirmation, helping traders quickly identify whether price action is trending or consolidating.
⚡ Features
Adjustable Length parameter (len) for dynamic control.
Adjustable Band Multiplier for volatility adaptation.
Choice between biased vs. unbiased standard deviation.
Double median smoothing for clarity + responsiveness.
Works well on cryptocurrencies (e.g., BTCUSD) but is flexible enough for stocks, forex, and indices.
✅ Use Cases
Trend Following → Ride trends by staying on the correct side of the bands.
Entry Timing → Use crossovers above/below bands for entry triggers.
Filter for Other Strategies → Can serve as a directional filter to avoid trading against the trend.
⚠️ Limitations & Notes
This is a trend-following tool, so it will perform best in trending conditions.
In sideways or choppy markets, whipsaws may still occur (although smoothing reduces them significantly).
The indicator is not a standalone buy/sell system. For best results, combine with volume, momentum, or higher-timeframe confluence.
All of this makes for a really unique & original tool, as it removes noise but keeps good responsitivity, using methods from many different principles which make for a smooth a very useful tool
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)
My script//@version=6
strategy("Elite Option Signal Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// === INPUTS ===
fastLength = input.int(9, title="Fast MA Length")
slowLength = input.int(21, title="Slow MA Length")
trendLength = input.int(50, title="Trend MA Length")
rsiLength = input.int(14, title="RSI Length")
rsiOversold = input.int(30, title="RSI Oversold Level")
rsiOverbought = input.int(70, title="RSI Overbought Level")
useStopLoss = input.bool(true, title="Use Stop Loss?")
stopLossPercent = input.float(2.0, title="Stop Loss %", minval=0.1, maxval=10.0)
// === INDICATORS ===
fastMA = ta.sma(close, fastLength)
slowMA = ta.sma(close, slowLength)
trendMA = ta.sma(close, trendLength)
rsi = ta.rsi(close, rsiLength)
// === CONDITIONS ===
bullishTrend = close > trendMA
bearishTrend = close < trendMA
longCondition = ta.crossover(fastMA, slowMA) and bullishTrend and rsi < rsiOverbought
shortCondition = ta.crossunder(fastMA, slowMA) and bearishTrend and rsi > rsiOversold
// === EXECUTION ===
if longCondition
strategy.entry("Long", strategy.long)
if useStopLoss
strategy.exit("Exit Long", "Long", stop=close * (1 - stopLossPercent / 100))
if shortCondition
strategy.entry("Short", strategy.short)
if useStopLoss
strategy.exit("Exit Short", "Short", stop=close * (1 + stopLossPercent / 100))
// === PLOTS ===
plot(fastMA, color=color.green, title="Fast MA")
plot(slowMA, color=color.red, title="Slow MA")
plot(trendMA, color=color.blue, title="Trend MA")
plotshape(longCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup)
plotshape(shortCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown)
Estratégia MSB AnúbisThe MSB Anubis Strategy combines RSI, volume, and divergences to identify potential reversal points with greater accuracy.
It includes the 200-period SMA as a trend filter, providing additional context
USD-TRADER-ROYThe USD-TRADER-ROY is a custom TradingView indicator designed for crypto and USD market analysis. It tracks a smoothed ratio between USDT dominance and historical averages (similar to the Puell Multiple concept) to highlight potential buy or sell zones.
Key features include:
Dynamic Buy/Sell Zones: Visual horizontal levels to indicate potential accumulation or profit-taking areas.
Visual Feedback: Colored backgrounds and bar colors to quickly show whether conditions suggest caution, accumulation, or potential selling.
Custom Alerts: Built-in alert conditions that notify traders when the market approaches critical thresholds, making it easier to act on opportunities without constant monitoring.
Flexible Parameters: Adjustable inputs for thresholds and risk levels to suit different strategies or risk tolerances.
This tool is aimed at traders who want a visual, alert-based system for gauging market extremes and managing entries/exits efficiently. It works best when combined with your own analysis and risk management.
4H IB + BO Midpoint – [SANIXLAB]This indicator plots the Initial Balance (IB) high and low for each 4-hour period and automatically calculates potential breakout levels and midpoints.
At the start of every new 4-hour block the script:
Captures that block’s high and low (Initial Balance),
Draws horizontal lines at the IB high, low and midpoint,
Calculates breakout targets above and below the IB using (optional) extension factor,
Creates horizontal lines at those breakout levels and their midpoint,
Breakout areas extend as new bars arrive.
MR.L
EMA Crossover and Candle ColoringColors candles based on the 21D Ema , one or two closes above each and gives blue and orange dots for when the 5D ema is above or below the 21D ema
Simple system but it helps to identify trends
Apex Edge – Wolfe Wave HunterApex Edge – Wolfe Wave Hunter
The modern Wolfe Wave, rebuilt for the algo era
This isn’t just another Wolfe Wave indicator. Classic Wolfe detection is rigid, outdated, and rarely tradable. Apex Edge – Wolfe Wave Hunter re-engineers the pattern into a modern, SMC-driven model that adapts to today’s liquidity-dominated markets. It’s not about drawing pretty shapes – it’s about extracting precision entries with asymmetric risk-to-reward potential.
🔎 What it does
Automatic Wolfe Wave Detection
Identifies bullish and bearish Wolfe Wave structures using pivot-based logic, symmetry filters, and slope tolerances.
Channel Glow Zones
Highlights the Wolfe channel and projects it forward into the future (bars are user-defined). This allows you to see the full potential of the trade before price even begins its move.
Stop Loss (SL) & Entry Arrow
At the completion of Wave 5, the algo prints a Stop Loss line and a tiny entry arrow (green for bullish, red for bearish). but the colours can be changed in user settings. This is the “execution point” — where the Wolfe setup becomes tradable.
Target Projection Lines
TP1 (EPA): Derived from the traditional 1–4 line projection.
TP2 (1.272 Fib): Optional secondary profit target.
TP3 (1.618 Fib): Optional extended target for large runners.
All TP lines extend into the future, so you can track them as price evolves.
Volume Confirmation (optional)
A relative volume filter ensures Wave 5 is formed with meaningful market participation before a setup is confirmed.
Alerts (ready out of the box)
Custom alerts can be fired whenever a bullish or bearish Wolfe Wave is confirmed. No need to babysit the charts — let the script notify you.
⚙️ Customisation & User Control
Every trader’s market and style is different. That’s why Wolfe Wave Hunter is fully customisable:
Arrow Colours & Size
Works on both light and dark charts. Choose your own bullish/bearish entry arrow colours for maximum visibility.
Tolerance Levels
Adjust symmetry and slope tolerance to refine how strict the channel rules are.
Tighter settings = fewer but cleaner zones.
Looser settings = more frequent setups, but with slightly lower structural quality.
Channel Glow Projection
Define how many bars forward the channel is drawn. This controls how far into the future your Wolfe zones are extended.
Stop Loss Line Length
Keep the SL visible without it extending infinitely across your chart.
Take Profit Line Colors
Each TP projection can be styled to your preference, allowing you to clearly separate TP1, TP2, and TP3.
This isn’t a one-size-fits-all tool. You can shape Wolfe detection logic to match the pairs, timeframes, and market conditions you trade most.
🚀 Why it’s different
Classic Wolfe waves are rare — this script adapts the model into something practical and tradeable in modern markets.
Liquidity-aligned — many setups align with structural sweeps of Wave 3 liquidity before driving into profit.
Entry built-in — most Wolfe scripts only draw the structure. Wolfe Wave Hunter gives you a precise entry point, SL, and projected TPs.
Backtest-friendly — you’ll quickly discover which assets respect Wolfe waves and which don’t, creating your own high-probability Wolfe watchlist.
⚠️ Limitations & Disclaimer
Not all markets respect Wolfe Waves. Some FX pairs, metals, and indices respect the structure beautifully; others do not. Backtest and create your own shortlist.
No guaranteed sweeps. Many entries occur after a liquidity sweep of Wave 3, but not all. The algo is designed to detect Wolfe completion, not enforce textbook liquidity rules.
Probabilistic, not predictive. Wolfe setups don’t win every time. Always use risk management.
High-RR focus. This is not a high-frequency tool. It’s designed for precision, asymmetric setups where risk is small and reward potential is large.
✅ The Bottom Line
Apex Edge – Wolfe Wave Hunter is a modern reimagination of the Wolfe Wave. It blends structural geometry, liquidity dynamics, and algo-driven execution into a single tool that:
Detects the pattern automatically
Provides SL, entry, and TP levels
Offers alerts for hands-off trading
Allows deep customisation for different markets
When it hits, it delivers outstanding risk-to-reward. Backtest, refine your tolerances, and build your watchlist of assets where Wolfe structures consistently pay.
This isn’t just Wolfe detection — it’s Wolfe trading, rebuilt for the modern trader.
Developer Notes - As always with the Apex Edge Brand, user feedback and recommendations will always be respected. Simply drop us a message with your comments and we will endeavour to address your needs in future version updates.
8 EMA/SMA + HMA + Pivot PointsMultiple customizeable Moing average indictors including Hall moving average, Exponential Moving average. Also includes Pivot Point indicator as an all-in-one indicator
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.
万物·太初🔸Telegram：@lunarvoyagerss
👑付费会员可以享受使用权限
Divergence Profile Volumen BBand OpenInterest Trendline MultiTimeFrame Liquidity
DrFX Premium Algo v3.1 - Advanced Multi-Strategy Trading System
**DrFX Premium Algo v3.1** is a sophisticated trading ecosystem that integrates multiple proven strategies, advanced market analysis, and comprehensive risk management into a unified framework. This system represents a complete trading solution designed for traders who require multi-dimensional market analysis with precise signal generation.
**Core Innovation & Originality**
This algorithm uniquely synthesizes eight distinct trading methodologies:
1. **Adaptive Supertrend Engine** - Dynamic trend-following system with customizable sensitivity and intelligent signal tuning (1-25 range)
2. **WaveTrend Pullback Detection** - Advanced oscillator-based system identifying high-probability retracement entries
3. **Contrarian Signal Generator** - Custom RSI-based system with adaptive smoothing for counter-trend opportunities
4. **Multi-Preset Architecture** - Three distinct trading modes: "All Signals," "Strong+," and "Trend Scalper" for different market approaches
5. **Intelligent Signal Filtering** - Seven-layer filtering system including trend, strength, volume, cloud, and contrarian filters
6. **Dynamic Risk Management** - ATR-based stop-loss with multiple take-profit levels and trailing stop functionality
7. **Multi-Timeframe Dashboard** - Real-time analysis across 6 timeframes with market state, volatility, and session detection
8. **Advanced Market Structure** - ZigZag-based swing detection with consolidation zone identification
**System Architecture & Functionality**
**Primary Signal Generation:**
The core uses a modified Supertrend algorithm with user-defined sensitivity (0.1-10.0) and signal tuner (1-25). Unlike standard Supertrend implementations, this system incorporates MACD momentum confirmation, EMA trend filtering (150/250), and HMA directional bias to reduce false signals.
**WaveTrend Pullback System:**
Implements a sophisticated pullback detection mechanism using custom WaveTrend calculations with configurable tuning (2-30). The system identifies divergences and optimal retracement entries when the oscillator reaches extreme levels (-60/+60).
**Contrarian Signal Logic:**
Features a proprietary RSI-based system with adaptive smoothing using Wilders MA and ATR-RSI calculations. The system generates counter-trend signals when RSI crosses dynamic bands calculated using the formula: TsUP/TsDN = TsFast ± ATRRSI * 4.236.
**Multi-Layer Signal Filtering:**
- **Trending Filter**: ADX > 20 for trend strength confirmation
- **Strong Signals**: Price relative to 200 EMA filter
- **Volume Filter**: Comparative volume analysis using EMA ratios
- **Cloud Filter**: Trend cloud alignment requirement
- **Contrarian Filter**: Overbought (>60) / Oversold (<40) conditions
**Risk Management Integration:**
- Automatic SL/TP calculation using ATR methodology
- Three configurable take-profit levels (1:1, 2:1, 3:1 default ratios)
- Dynamic trailing stop with percentage or ATR-based options
- Visual TP/SL areas with real-time price level tracking
**Unique Visual Components**
**Trend Cloud System:**
Offers four cloud styles (Smooth, Scalping, Scalping+, Swing) using different EMA combinations and HMA calculations. The "Smooth" mode uses 150/250 EMAs, while scalping modes use faster 5/9/21 EMA combinations.
**Advanced Candle Coloring:**
Four distinct coloring schemes:
- **Trend Gradient**: MACD histogram-based momentum visualization
- **Signal Based**: Color coordination with current signal bias
- **RSI Gradient**: 13-level color progression based on 4-period price momentum
- **Momentum Filter**: Gray highlighting for low-momentum periods
**Smart Dashboard Analytics:**
Real-time display of:
- Multi-timeframe trend alignment (M5, M15, M30, 1H, 4H)
- Market state classification (Trending/Ranging/No Trend)
- Volatility percentage calculation using ATR standard deviation
- Current trading session identification (NY, London, Tokyo, Sydney)
- Institutional activity monitoring through volume analysis
**Usage Instructions**
**Signal Interpretation:**
- **Buy/Sell**: Basic Supertrend crossovers with momentum confirmation
- **Strong Buy/Sell**: Signals above/below 200 EMA with enhanced filters
- **Pullback Signals**: Small circles indicating retracement opportunities
- **Contrarian Signals**: Counter-trend opportunities at extreme levels
**Preset Selection:**
- **All Signals**: Complete signal set with basic Supertrend logic
- **Strong+**: Enhanced filtering for higher probability trades
- **Trend Scalper**: Fast EMA cloud system for short-term trading
**Risk Management Application:**
- Use built-in TP/SL levels displayed as labels and lines
- Monitor trailing stop (white/red lines) for dynamic exit management
- Observe market structure labels (HH, HL, LH, LL) for context
**Dashboard Utilization:**
- Ensure multi-timeframe alignment before entries
- Monitor volatility percentage for position sizing
- Check market state for strategy selection
- Use session information for optimal trading times
**Advanced Features**
**Market Structure Detection:**
Implements ZigZag algorithm for swing identification with configurable period (default 10). Automatically labels market structure patterns and identifies consolidation zones using dynamic high/low analysis.
**Session Analysis:**
Built-in detection for four major trading sessions with overlap identification. Provides context for volatility expectations and optimal trading windows.
**Volume Intelligence:**
Advanced volume filtering using relative volume analysis (RVA) comparing current volume to 21-period moving average with 144% threshold filter.
**Important Considerations**
This system works optimally in trending markets with clear directional bias. In consolidating conditions, focus on pullback signals and contrarian opportunities. The multiple filtering options allow adaptation to various market conditions and trading styles.
The algorithm combines several established techniques (Supertrend, WaveTrend, RSI, MACD) in an original framework with proprietary filtering and risk management logic. Each component is designed to work synergistically with others for comprehensive market analysis.
**Disclaimer**: This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always implement proper risk management and never risk capital you cannot afford to lose. The system's complexity requires understanding of each component for optimal utilization.
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