Mucip AL BUY indicator/Mucip AL BUY indikatörüThis indicator aims to identify potential market bottoms. It also provides visual support to investors by displaying the percentage profit after each buy signal, based on the highest peak price since that signal. Simple yet effective terms help users identify optimal entry points. Furthermore, not every signal yields accurate results.
Oscillateurs
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context.
🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision.
// Gate Keeper: ADX determines market type
is_trending = adx_value > adx_trend_threshold
is_ranging = adx_value <= adx_trend_threshold
is_maximum_chop = adx_value <= adx_chop_threshold
// BULL CONDITIONS with Structure Veto
if price_above_ema and di_bullish
if use_structure_filter and isBullStructure
raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure
else if use_structure_filter and not isBullStructure
raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure
🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups.
🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework.
// Define Market Structure (Bull = HH/HL, Bear = LL/LH)
isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_high > prev_significant_high and last_significant_low > prev_significant_low
isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_low < prev_significant_low and last_significant_high < prev_significant_high
🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations.
🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events.
// === CRASH OVERRIDE (Active Penalties) ===
is_crash = roc_value < crash_threshold
if is_crash
// Calculate crash severity
crash_severity = math.abs(roc_value / crash_threshold)
crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0
// ACTIVE PENALTIES: Force bear dominance
raw_bearScore := math.max(raw_bearScore, crash_bonus)
raw_bullScore := -5.0 // ACTIVE PENALTY
raw_chopScore := -5.0 // ACTIVE PENALTY
❓How It Works
🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods.
🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification.
🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency.
🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information.
🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth.
Why Choose Market Regime Matrix ?
The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
RSI + MACD Long-Only StrategyRSI + MACD Long-Only Strategy
Overview: Momentum-based, long-only strategy combining RSI and MACD. Entries favor upside momentum; exits trigger on momentum fades or risk targets. Signals are state-gated so you get one exit per entry (no multiple exits without a prior entry).
Entry conditions:
RSI crosses above the midline (default 50) while MACD is bullish (MACD > Signal, optionally MACD > 0), OR
MACD crosses above its Signal while RSI is at/above the midline.
Optional filters:
EMA trend filter: only enter if price > EMA(n).
Oversold context: only enter within N bars after RSI dipped below the oversold threshold.
Exit conditions:
RSI crosses below the midline, OR
MACD crosses below its Signal with MACD histogram ≤ 0.
Optional risk exit: Take Profit / Stop Loss based on percentage from average entry price.
Risk management:
Inputs: Use TP/SL (on/off), TP% (default 3.0), SL% (default 1.5).
Implements protective strategy.exit (limit/stop) while in position.
Signal-based exit uses strategy.close to flatten.
Position management:
Long-only, no pyramiding (single position at a time).
Internal state ensures entries occur only when flat and exits only when in a position.
Inputs you can tune:
RSI: length, overbought, oversold, midline.
MACD: fast length, slow length, signal length; toggle “Require MACD > 0”.
Signals: oversold lookback window; EMA trend on/off and EMA length.
Risk: TP% and SL%.
Visuals: show entry/exit markers, bar coloring; optional debug background on raw triggers.
Visuals and alerts:
Plots EMA (optional), draws entry/exit markers, optional bar coloring, and a faint background on raw long triggers to aid tuning.
Alert conditions provided for entries and exits.
Notes:
Designed for bar-close evaluation; performance varies by symbol/timeframe—tune inputs accordingly.
Long-only; intended for trend-following momentum with basic risk control.
Not financial advice.
TMO of Relative StrengthThis indicator shows 3 TMOs, one for the charted symbol, one for a chosen index symbol, and one for the relative strength ratio of the 2 symbols.
While a normal TMO measures momentum of a stock, this indicator measures the subtle momentum shifts that happen in the relative strength ratio of the stock , which can sometimes happen before the momentum of the stock itself shifts. This provides the potential for an early warning that a move may be about to begin, even before the stock price starts heading in one direction.
Many traders watch relative strength ratio charts to see when a stock begins to outperform the index. This indicator doesn't measure the relative or comparative strength ratio itself, but instead measures the change in momentum of relative strength .
Signals and alerts are provided for when the Ratio's TMO line crosses above/below the Stock's TMO line, or the Market Index's TMO line, and also for when the Stock's TMO line crosses above/below the Market's TMO line even if the ratio isn't crossing currently. Also alerts when the Ratio or Stock TMO lines cross their prior values.
I created a version of this for Thinkorswim originally and it has been valuable to me and my clients, so I hope it provides value here as well.
-Josiah
Mr.BourssioA professional indicator that combines multiple strategies into one tool ,
Mr.Bourssio indicator that will help you spot ideal entry and exit opportunities.
The best frame for the indicator is the 1 - Hour frame.
Bullish Divergence SMI Base & Trigger with ATR FilterDescription:
A bullish divergence indicator combining the Stochastic Momentum Index (SMI) and Average True Range (ATR) to pinpoint high-probability entries:
1. Base Arrow (Orange ▲):
• Marks every SMI %K / %D bullish crossover where %K < –70 (deep oversold)—the first half of the divergence setup.
• Each new qualifying crossover replaces the previous base, continuously “arming” the divergence signal.
• Configurable SMI lookbacks, oversold threshold, and a base timeout (default 100 days) to clear stale bases.
2. Trigger Arrow (Green ▲):
• Completes the bullish divergence: fires on the next SMI bullish crossover where %K > –60 and price has dropped below the base arrow’s close by at least N × ATR (default 1 × 14-day ATR).
• A dashed green line links the base and trigger to visually confirm the divergence.
• Resets after triggering, ready for a new divergence cycle.
Inputs:
• SMI %K Length, EMA Smoothing, %D Length
• Oversold Base Level (–70), Trigger Level (–60)
• ATR Length (14), ATR Multiplier (1.0)
• Base Timeout (100 days)
Ideal for any market, this study highlights genuine bullish divergences—oversold momentum crossovers that coincide with significant price reactions—before entering long trades.
平滑周期RSI带中间线和交叉 (cRSI交叉) Cyclic RSI with Midline and Cross “平滑周期RSI带中间线和交叉”是一个基于周期平滑的RSI指标，结合长期和短期cRSI线生成金叉/死叉信号，帮助识别趋势反转。指标包括动态上下限、动态中间线和静态超买/超卖线（30/70），适合捕捉市场周期性波动。主要功能：长期/短期 cRSI：长期cRSI（紫红色）与短期cRSI（橙色，可调周期）形成金叉（看涨）/死叉（看跌）信号。
动态中间线：黄色中间线（上下限均值），作为趋势中性参考。
动态上下限：自适应上下限（青色），反映市场波动范围。
信号过滤：可选中间线过滤，减少噪音信号。
用户可调：支持调整短期周期长度、颜色及信号过滤开关。
警报支持：内置金叉/死叉警报，方便交易通知。
更新说明：
现已升级至 Pine Script 第6版，优化语法、修复兼容性问题（如透明度处理），并新增动态标签提示推荐短期周期长度。用户可通过设置面板自由调整参数，适应不同市场和时间框架。使用建议：默认参数：主导周期=20，短期周期=5（建议为长期周期一半）。
结合金叉/死叉、中间线和动态上下限，确认买卖信号。
在TradingView警报中启用金叉/死叉通知。
欢迎社区用户测试并提供反馈！
结合KDJ指标使用，叠加均线，简直不要太好，在关键位置，出现关键信号，祝各位在使用中能多多反馈。
Overview:
The "Smoothed Cyclic RSI with Midline and Cross" is a cycle-smoothed RSI indicator that generates Golden Cross (bullish) and Death Cross (bearish) signals using long-term and short-term cRSI lines, aiding in trend reversal identification. It includes dynamic upper/lower bands, a dynamic midline, and static overbought/oversold levels (30/70), ideal for capturing market cyclic fluctuations.Key Features:Long/Short cRSI: Long-term cRSI (fuchsia) and short-term cRSI (orange, adjustable period) form Golden Cross (bullish) and Death Cross (bearish) signals.
Dynamic Midline: Yellow midline (average of upper/lower bands) serves as a neutral trend reference.
Dynamic Bands: Adaptive upper/lower bands (aqua) reflect market volatility range.
Signal Filtering: Optional midline-based filtering to reduce noise.
User Adjustable: Supports customization of short-term period, color, and filtering toggle.
Alert Support: Built-in alerts for Golden/Death Cross signals for convenient trade notifications.
Update Notes:
Now upgraded to Pine Script Version 6, with optimized syntax, fixed compatibility issues (e.g., transparency handling), and added dynamic label to suggest optimal short-term period. Users can freely adjust parameters via the settings panel to suit various markets and timeframes.Usage Tips:Default Parameters: Dominant cycle = 20, short-term cycle = 5 (suggested as half of long-term cycle).
Combine Golden/Death Cross, midline, and dynamic bands for trade signal confirmation.
Enable Golden/Death Cross alerts in TradingView for notifications.
Community Note:
This indicator has been updated to Pine Script Version 6, resolving all known issues (e.g., input.int and transparency). It now includes adjustable short-term cRSI period/color and dynamic period suggestion labels. Please test across markets and timeframes and share your feedback!Pro Tip: Pair with the KDJ indicator and overlay moving averages for enhanced performance. At key levels with critical signals, this combo is unbeatable. Happy trading, and please share your feedback with the community!
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System
## Strategy Overview
The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities.
The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences.
## Core Algorithm Architecture
The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods.
The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly.
RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments.
Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion.
## Advanced Position Management System
The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications.
Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments.
Position quantity calculations integrate seamlessly with TradingView's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications.
## Comprehensive Risk Management Framework
The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades.
The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions.
Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations.
The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders.
## Visual Customization and Interface Design
The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections.
Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements.
Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections.
## Signal Quality Enhancement Features
The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality.
Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization.
Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations.
## Implementation Guidelines and Optimization
The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability.
Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations.
Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition.
## Performance Considerations and Risk Disclosure
The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions.
Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise.
Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods.
## Technical Specifications
The strategy utilizes standard TradingView Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions.
Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through TradingView's integrated backtesting framework.
Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision.
## Conclusion
The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions.
Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies.
Multi-Momentum Monitor(composed by ROC RSI MFI AO)Multi-Momentum Monitor (Multi-Momentum Monitor) instructions for use
Version: v6 revised version
Applicable objects: currency circle, stock market, futures short-term/swing trader
effect：
Integrate ROC (momentum rate of change), RSI (relative strength), MFI (capital flow), and AO (oscillator) together
Judge the direction and intensity of the current market momentum through “multi-index resonance”
Low latency, easy to configure, suitable for market tracking to assist in judging “pullback vs reversal”
1、Overview of indicator functions
Legend description：
Background color: Green = Strong kinetic energy of multiple parties (≥3/4 of the indicators are in the same direction), red = strong kinetic energy of the empty party (≤1/4 of the indicators are in the same direction)
Triangle mark: The green triangle at the bottom = all long signals of the 4/4 indicator; the red triangle at the top = all short signals of the 4/4 indicator
Four curves：
Blue = ROC (%)
Orange = RSI
Purple = MFI
Gray = AO
2、Explanation of the four core indicators (simple and easy-to-understand version)
Key points of interpretation of the role of indicators
The ROC price momentum rate of change reflects the speed of price rise/fall. ROC is greater than the threshold = long acceleration, less than the-threshold = short acceleration
RSI relative strength index RSI > 50 is too much, RSI <50 is empty
The MFI capital flow indicator combines transaction volume and price. MFI>50 indicates the net inflow of funds, and <50 indicates the net outflow of funds.
AO Super Oscillator fast line average price-slow line average price, greater than 0 is too much, less than 0 is too short
3、Parameter configuration guide
Explanation of common parameters：
ROC cycle /threshold: ROC calculation cycle and kinetic energy sensitivity. Short cycle + low threshold = sensitive (but noisy)
RSI cycle: the shorter the more sensitive, the longer the more stable
MFI cycle: it is recommended to be close to the RSI cycle
AO fast/slow cycle: commonly used 5/34, 5/21 is also available
Background color resonance judgment: ≥3 indicators in the same direction, time scale background
4、How to read the signal
Background color signal (distinguish between trend strength and weakness)
Green background: at least 3 indicators, long positions → multi-party dominance
Red background: At least 3 indicators, bears → bears dominate
No background: the kinetic energy is chaotic, and the probability of shock is large
Triangle mark (extremely strong signal)
Green triangle at the bottom: 4/4 multi-head → super multi-party kinetic energy
Red triangle at the top: 4/4 bears → Super empty kinetic energy
5、Actual usage cases
Short-term breakthrough trading
Observe the picture for 15 minutes, when the background turns green + a green triangle mark appears
There is no obvious empty signal at the upper level (1H)
Follow up at the breaking point and put the stop loss at the lowest
Distinction between callback and reversal
Pullback: The price has fallen but the background is still green, and many indicators have not all turned over.
Reversal: The price drops and the background turns red, and a red triangle appears at the same time
6、Precautions
The signal is not 100% accurate, it must be combined with multiple factors such as price structure, support and resistance.
⏳ Stronger resonance at different cycle levels (such as 15min warning + 1H confirmation)
⚠ The misjudgment rate of the volatile market is high, it is recommended to filter it in combination with the trend direction
Indicators are only an aid, not a substitute, please cooperate with your personal strategy and risk control
📊 多动能监控器（Multi-Momentum Monitor）使用说明
版本：v6 修正版
适用对象：币圈、股市、期货短线/波段交易者
作用：
把 ROC（动量变化率）、RSI（相对强弱）、MFI（资金流量）、AO（震荡指标）整合在一起
通过“多指标共振”判断当前市场动能的方向和强度
低延迟、易配置，适合盯盘辅助判断“回调 vs 反转”
0️⃣ 指标核心组成
ROC 动能速度 衡量价格变化速度，反应趋势衰竭最直接 周期（默认 5）
RSI 短周期 衡量上涨动能比例 周期（默认 5）+ 阈值（50）
MFI 短周期 加入成交量权重的 RSI 周期（默认 7）+ 阈值（50）
AO 方向强弱 快速可视化趋势动能方向 快线周期（默认 5）、慢线周期（默认 34）
1️⃣ 指标功能概览
图例说明：
背景色：绿色 = 多方动能强（≥3/4指标同向），红色 = 空方动能强（≤1/4指标同向）
三角标记：底部绿色三角 = 4/4指标全部多头信号；顶部红色三角 = 4/4指标全部空头信号
四条曲线：
蓝色 = ROC (%)
橙色 = RSI
紫色 = MFI
灰色 = AO
2️⃣ 四大核心指标解释（简单易懂版）
指标 作用 解读关键点
ROC 价格动量变化率 反映价格上涨/下跌的速度，ROC大于阈值=多头加速，小于-阈值=空头加速
RSI 相对强弱指标 RSI > 50 偏多，RSI < 50 偏空
MFI 资金流量指标 结合成交量和价格，MFI > 50 表示资金净流入，< 50 表示资金净流出
AO 超级震荡指标 快线均价 - 慢线均价，大于0偏多，小于0偏空
3️⃣ 参数配置指南
常用参数解释：
ROC 周期 / 阈值：ROC计算周期和动能敏感度。短周期 + 低阈值 = 灵敏（但噪音多）
RSI 周期：越短越敏感，越长越稳
MFI 周期：建议与RSI周期接近
AO快/慢周期：常用5/34，也可5/21
背景色共振判断：≥3个指标同方向时标背景
4️⃣ 如何读信号
📌 背景色信号（趋势强弱区分）
绿色背景：至少3个指标多头 → 多方主导
红色背景：至少3个指标空头 → 空方主导
无背景：动能混乱，震荡概率大
📌 三角标记（极强信号）
底部绿色三角：4/4 多头 → 超强多方动能
顶部红色三角：4/4 空头 → 超强空方动能
5️⃣ 实战用法案例
短线突破交易
观察15分钟图，当背景转绿 + 出现绿色三角标记
上级别（1H）无明显空方信号
在突破点跟进，止损放在前低
回调与反转区分
回调：价格回落但背景仍为绿色，多指标未全部翻空
反转：价格回落并背景翻红，同时出现红色三角
6️⃣ 注意事项
📉 信号不是100%准确，要结合价格结构、支撑阻力等多因素
⏳ 不同周期级别共振更强（如15min预警 + 1H确认）
⚠ 震荡市误判率高，建议结合趋势方向过滤
💡 指标只是辅助，不是替代品，请配合个人策略与风险控制
Energy Advanced Policy StrategyThis trading strategy emphasizes both technical trading as well as sentiment trading. Using news and government policy decisions, it can determine either positive or negative sentiment in the energy sector.
How the Strategy Works
This strategy has two main parts that work together to find good trades:
1. The "Policy & Sentiment Engine "
Policy Event Detection : The script spots potential big news or policy changes by looking for big, sudden price moves and huge trading volume. You can play with the Policy Event Volume Threshold and Policy Event Price Threshold (%) settings to make it more or less sensitive.
Sentiment Score : When the script finds a positive or negative event, it adds to a sentiment score. This score isn't forever, though; it fades over time, so the newest events matter the most.
Manual Override : The Manual News Sentiment setting lets you tell the script exactly what the market's mood is for a set time, which is perfect for when you already know about a big upcoming announcement.
The strategy only looks for a trade if the overall feeling is bullish enough. This makes sure you're trading with the big, fundamental forces of the market, not against them.
2. Technical Confirmation & Precision
After the policy and sentiment part gives a green light, the strategy uses a variety of technical indicators to confirm the trend and ideal entry positions.
Long-Term Trend : The script makes sure the market is in a strong uptrend by checking if the fast and medium-speed moving averages are going up, and if the price is above a long-term moving average.
Momentum : The MACD is used to make sure the price's upward momentum is getting stronger, not weaker.
Oscillator : It also uses the RSI to check if the market has gone up too much, too fast, which could mean it's about to turn around.
How to Use the Script
You can customize this strategy to fit your trading style and how much risk you're comfortable with. The inputs are grouped into logical sections for easy adjustment.
News & Policy Analysis : You can play with the Policy Event thresholds to make the script more or less sensitive to market shocks. And you can always use the Manual News Sentiment to take over when you're watching a specific news event.
Technical Analysis : Feel free to change the settings for things like the moving averages, RSI, and MACD to match what you like to trade and on what timeframe.
MACD EXTREME + Price Signals**MACD Extreme Cross Signals — Precision, Not Noise**
This script overlays buy/sell signals only at high-probability zones, filtering out random MACD crosses. Instead of alerting at every cross, it dynamically identifies MACD extremes—levels statistically significant compared to recent history—then signals only when MACD crosses occur near these true peaks or troughs.
**Key Features:**
* Detects and adapts to dynamic MACD extremes
* Filters out low-conviction/whipsaw signals
* Only signals crosses at statistically significant highs/lows
* Clean chart overlays for instant visual cues
* Ideal for traders who want only the best MACD opportunities, not every noise cross
**Result:**
Fewer but higher-quality trade alerts. Focus on momentum reversals where the move is most likely to be meaningful.
---
**Pro tip:** Combine with your favourite trend or confirmation tool for even higher conviction.
Test on multiple timeframes to find what best suits your style.
Mutanabby_AI | Ultimate Algo | Remastered+Overview
The Mutanabby_AI Ultimate Algo Remastered+ represents a sophisticated trend-following system that combines Supertrend analysis with multiple moving average confirmations. This comprehensive indicator is designed specifically for identifying high-probability trend continuation and reversal opportunities across various market conditions.
Core Algorithm Components
**Supertrend Foundation**: The primary signal generation relies on a customizable Supertrend indicator with adjustable sensitivity (1-20 range). This adaptive trend-following tool uses Average True Range calculations to establish dynamic support and resistance levels that respond to market volatility.
**SMA Confirmation Matrix**: Multiple Simple Moving Averages (SMA 4, 5, 9, 13) provide layered confirmation for signal strength. The algorithm distinguishes between regular signals and "Strong" signals based on SMA 4 vs SMA 5 relationship, offering traders different conviction levels for position sizing.
**Trend Ribbon Visualization**: SMA 21 and SMA 34 create a visual trend ribbon that changes color based on their relationship. Green ribbon indicates bullish momentum while red signals bearish conditions, providing immediate visual trend context.
**RSI-Based Candle Coloring**: Advanced 61-tier RSI system colors candles with gradient precision from deep red (RSI ≤20) through purple transitions to bright green (RSI ≥79). This visual enhancement helps traders instantly assess momentum strength and overbought/oversold conditions.
Signal Generation Logic
**Buy Signal Criteria**:
- Price crosses above Supertrend line
- Close price must be above SMA 9 (trend confirmation)
- Signal strength determined by SMA 4 vs SMA 5 relationship
- "Strong Buy" when SMA 4 ≥ SMA 5
- Regular "Buy" when SMA 4 < SMA 5
**Sell Signal Criteria**:
- Price crosses below Supertrend line
- Close price must be below SMA 9 (trend confirmation)
- Signal strength based on SMA relationship
- "Strong Sell" when SMA 4 ≤ SMA 5
- Regular "Sell" when SMA 4 > SMA 5
Advanced Risk Management System
**Automated TP/SL Calculation**: The indicator automatically calculates stop loss and take profit levels using ATR-based measurements. Risk percentage and ATR length are fully customizable, allowing traders to adapt to different market conditions and personal risk tolerance.
**Multiple Take Profit Targets**:
- 1:1 Risk-Reward ratio for conservative profit taking
- 2:1 Risk-Reward for balanced trade management
- 3:1 Risk-Reward for maximum profit potential
**Visual Risk Display**: All risk management levels appear as both labels and optional trend lines on the chart. Customizable line styles (solid, dashed, dotted) and positioning ensure clear visualization without chart clutter.
**Dynamic Level Updates**: Risk levels automatically recalculate with each new signal, maintaining current market relevance throughout position lifecycles.
Visual Enhancement Features
**Customizable Display Options**: Toggle trend ribbon, TP/SL levels, and risk lines independently. Decimal precision adjustments (1-8 decimal places) accommodate different instrument price formats and personal preferences.
**Professional Label System**: Clean, informative labels show entry points, stop losses, and take profit targets with precise price levels. Labels automatically position themselves for optimal chart readability.
**Color-Coded Momentum**: The gradient RSI candle coloring system provides instant visual feedback on momentum strength, helping traders assess market energy and potential reversal zones.
Implementation Strategy
**Timeframe Optimization**: The algorithm performs effectively across multiple timeframes, with higher timeframes (4H, Daily) providing more reliable signals for swing trading. Lower timeframes work well for day trading with appropriate risk adjustments.
**Sensitivity Adjustment**: Lower sensitivity values (1-5) generate fewer but higher-quality signals, ideal for conservative approaches. Higher sensitivity (15-20) increases signal frequency for active trading styles.
**Risk Management Integration**: Use the automated risk calculations as baseline parameters, adjusting risk percentage based on account size and market conditions. The 1:1, 2:1, 3:1 targets enable systematic profit-taking strategies.
Market Application
**Trend Following Excellence**: Primary strength lies in capturing significant trend movements through the Supertrend foundation with SMA confirmation. The dual-layer approach reduces false signals common in single-indicator systems.
**Momentum Assessment**: RSI-based candle coloring provides immediate momentum context, helping traders assess signal strength and potential continuation probability.
**Range Detection**: The trend ribbon helps identify ranging conditions when SMA 21 and SMA 34 converge, alerting traders to potential breakout opportunities.
Performance Optimization
**Signal Quality**: The requirement for both Supertrend crossover AND SMA 9 confirmation significantly improves signal reliability compared to basic trend-following approaches.
**Visual Clarity**: The comprehensive visual system enables rapid market assessment without complex calculations, ideal for traders managing multiple instruments.
**Adaptability**: Extensive customization options allow fine-tuning for specific markets, trading styles, and risk preferences while maintaining the core algorithm integrity.
## Non-Repainting Design
**Educational Note**: This indicator uses standard TradingView functions (Supertrend, SMA, RSI) with normal behavior patterns. Real-time updates on current candles are expected and standard across all technical indicators. Historical signals on closed candles remain fixed and unchanged, ensuring reliable backtesting and analysis.
**Signal Confirmation**: Final signals are confirmed only when candles close, following standard technical analysis principles. The algorithm provides clear distinction between developing signals and confirmed entries.
Technical Specifications
**Supertrend Parameters**: Default sensitivity of 4 with ATR length of 11 provides balanced signal generation. Sensitivity range from 1-20 allows adaptation to different market volatilities and trading preferences.
**Moving Average Configuration**: SMA periods of 8, 9, and 13 create multi-layered trend confirmation, while SMA 21 and 34 form the visual trend ribbon for broader market context.
**Risk Management**: ATR-based calculations with customizable risk percentage ensure dynamic adaptation to market volatility while maintaining consistent risk exposure principles.
Recommended Settings
**Conservative Approach**: Sensitivity 4-5, RSI length 14, higher timeframes (4H, Daily) for swing trading with maximum signal reliability.
**Active Trading**: Sensitivity 6-8, RSI length 8-10, intermediate timeframes (1H) for balanced signal frequency and quality.
**Scalping Setup**: Sensitivity 10-15, RSI length 5-8, lower timeframes (15-30min) with enhanced risk management protocols.
## Conclusion
The Mutanabby_AI Ultimate Algo Remastered+ combines proven trend-following principles with modern visual enhancements and comprehensive risk management. The algorithm's strength lies in its multi-layered confirmation approach and automated risk calculations, providing both novice and experienced traders with clear signals and systematic trade management.
Success with this system requires understanding the relationship between signal strength indicators and adapting sensitivity settings to match current market conditions. The comprehensive visual feedback system enables rapid decision-making while the automated risk management ensures consistent trade parameters.
Practice with different sensitivity settings and timeframes to optimize performance for your specific trading style and risk tolerance. The algorithm's systematic approach provides an excellent framework for disciplined trend-following strategies across various market environments.
Mutanabby_AI __ OSC+ST+SQZMOMMutanabby_AI OSC+ST+SQZMOM: Multi-Component Trading Analysis Tool
Overview
The Mutanabby_AI OSC+ST+SQZMOM indicator combines three proven technical analysis components into a unified trading system, providing comprehensive market analysis through integrated oscillator signals, trend identification, and volatility assessment.
Core Components
Wave Trend Oscillator (OSC): Identifies overbought and oversold market conditions using exponential moving average calculations. Key threshold levels include overbought zones at 60 and 53, with oversold areas marked at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart for easy identification.
Supertrend Indicator (ST): Determines overall market direction using Average True Range calculations with a 2.5 factor and 10-period ATR configuration. Green lines indicate confirmed uptrends while red lines signal downtrend conditions. The indicator automatically adapts to market volatility changes, providing reliable trend identification across different market environments.
Squeeze Momentum (SQZMOM): Compares Bollinger Bands with Keltner Channels to identify consolidation periods and potential breakout scenarios. Black squares indicate squeeze conditions representing low volatility periods, green triangles signal confirmed upward breakouts, and red triangles mark downward breakout confirmations.
Signal Generation Logic
Long Entry Conditions:
Green triangles from Squeeze Momentum component
Supertrend line transitioning to green
Bullish crossovers in Wave Trend Oscillator from oversold territory
Short Entry Conditions:
Red triangles from Squeeze Momentum component
Supertrend line transitioning to red
Bearish crossovers in Wave Trend Oscillator from overbought territory
Automated Risk Management
The indicator incorporates comprehensive risk management through ATR-based calculations. Stop losses are automatically positioned at 3x ATR distance from entry points, while three progressive take profit targets are established at 1x, 2x, and 3x ATR multiples respectively. All risk management levels are clearly displayed on the chart using colored lines and informative labels.
When trend direction changes, the system automatically clears previous risk levels and generates new calculations, ensuring all risk parameters remain current and relevant to existing market conditions.
Alert and Notification System
Comprehensive alert framework includes trend change notifications with complete trade setup details, squeeze release alerts for breakout opportunity identification, and trend weakness warnings for active position management. Alert messages contain specific trading pair information, timeframe specifications, and all relevant entry and exit level data.
Implementation Guidelines
Timeframe Selection: Higher timeframes including 4-hour and daily charts provide the most reliable signals for position trading strategies. One-hour charts demonstrate good performance for day trading applications, while 15-30 minute timeframes enable scalping approaches with enhanced risk management requirements.
Risk Management Integration: Limit individual trade risk to 1-2% of total capital using the automatically calculated stop loss levels for precise position sizing. Implement systematic profit-taking at each target level while adjusting stop loss positions to protect accumulated gains.
Market Volatility Adaptation: The indicator's ATR-based calculations automatically adjust to changing market volatility conditions. During high volatility periods, risk management levels appropriately widen, while low volatility conditions result in tighter risk parameters.
Optimization Techniques
Combine indicator signals with fundamental support and resistance level analysis for enhanced signal validation. Monitor volume patterns to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of scheduled economic events that may influence market behavior independent of technical indicator signals.
The multi-component design provides internal signal confirmation through multiple alignment requirements, significantly reducing false signal occurrence while maintaining reasonable trade frequency for active trading strategies.
Technical Specifications
The Wave Trend Oscillator utilizes customizable channel length (default 10) and average length (default 21) parameters for optimal market sensitivity. Supertrend calculations employ ATR period of 10 with factor multiplier of 2.5 for balanced signal quality. Squeeze Momentum analysis uses Bollinger Band length of 20 periods with 2.0 multiplication factor, combined with Keltner Channel length of 20 periods and 1.5 multiplication factor.
Conclusion
The Mutanabby_AI OSC+ST+SQZMOM indicator provides a systematic approach to technical market analysis through the integration of proven oscillator, trend, and momentum components. Success requires thorough understanding of each element's functionality and disciplined implementation of proper risk management principles.
Practice with demo trading accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach effectively reduces emotional decision-making while providing clear, objective guidelines for trade entry, management, and exit strategies across various market conditions.
Information Theory Market AnalysisINFORMATION THEORY MARKET ANALYSIS
OVERVIEW
This indicator applies mathematical concepts from information theory to analyze market behavior, measuring the randomness and predictability of price and volume movements through entropy calculations. Unlike traditional technical indicators, it provides insight into market structure and regime changes.
KEY COMPONENTS
Four Main Signals:
• Price Entropy (Deep Blue): Measures randomness in price movements
• Volume Entropy (Bright Blue): Analyzes volume pattern predictability
• Entropy MACD (Purple): Shows relationship between price and volume entropy
• SEMM (Royal Blue): Stochastic Entropy Market Monitor - overall market randomness gauge
Market State Detection:
The indicator identifies seven distinct market states:
• Strong Trending (SEMM < 0.1)
• Weak Trending (0.1-0.2)
• Neutral (0.2-0.3)
• Moderate Random (0.3-0.5)
• High Randomness (0.5-0.8)
• Very Random (0.8-1.0)
• Chaotic (>1.0)
KEY FEATURES
Advanced Analytics:
• Signal Strength Confluence: 0-5 scale measuring alignment of multiple factors
• Entropy Crossovers: Detects shifts between accumulation and distribution phases
• Extreme Readings: Identifies statistical outliers for potential reversals
• Trend Bias Analysis: Directional momentum assessment
Information Dashboard:
• Real-time entropy values and market state
• Signal strength indicator with visual highlighting
• Trend bias with directional arrows
• Color-coded alerts for extreme conditions
Customizable Display:
• Adjustable SEMM scaling (5x to 100x) for optimal visibility
• Multiple line styles: Smooth, Stepped, Dotted
• 9 table positions with 3 size options
• Professional blue color scheme with transparency controls
Comprehensive Alert System - 15 Alert Types Including:
• Extreme entropy readings (price/volume)
• Crossover signals (dominance shifts)
• Market state changes (trending ↔ random)
• High confluence signals (3+ factors aligned)
HOW TO USE
Reading the Signals:
• Entropy Values > ±25: Strong structural signals
• Entropy Values > ±40: Extreme readings, potential reversals
• SEMM < 0.2: Trending market favors directional strategies
• SEMM > 0.5: Random market favors range/scalping strategies
Signal Confluence:
Look for multiple factors aligning:
• Signal Strength ≥ 3.0 for higher probability setups
• Background highlighting indicates confluence
• Table shows real-time strength assessment
Timeframe Optimization:
• Short-term (1m-15m): Entropy Length 14-22, Sensitivity 3-5
• Swing Trading (1H-4H): Default settings optimal
• Position Trading (Daily+): Entropy Length 34-55, Sensitivity 8-12
EDUCATIONAL APPLICATIONS
Market Structure Analysis:
• Understand when markets are trending vs. ranging
• Identify accumulation and distribution phases
• Recognize extreme market conditions
• Measure information content in price movements
Information Theory Concepts:
• Binary entropy calculations applied to financial data
• Probability distribution analysis of returns
• Statistical ranking and percentile analysis
• Momentum-adjusted randomness measurement
TECHNICAL DETAILS
Calculations:
• Uses binary entropy formula: -
• Percentile ranking across multiple timeframes
• Volume-weighted probability distributions
• RSI-adjusted momentum entropy (SEMM)
Customization Options:
• Entropy Length: 5-100 bars (default: 22)
• Average Length: 10-200 bars (default: 88)
• Sensitivity: 1.0-20.0 (default: 5.0, lower = more sensitive)
• SEMM Scaling: 5.0-100.0x (default: 30.0)
IMPORTANT NOTES
Risk Considerations:
• Indicator measures probabilities, not certainties
• High SEMM values (>0.5) suggest increased market randomness
• Extreme readings may persist longer than expected
• Always combine with proper risk management
Educational Purpose:
This indicator is designed for:
• Market structure analysis and education
• Understanding information theory applications in finance
• Developing probabilistic thinking about markets
• Research and analytical purposes
Performance Tips:
• Allow 200+ bars for proper initialization
• Adjust scaling and transparency for optimal visibility
• Use confluence signals for higher probability analysis
• Consider multiple timeframes for comprehensive analysis
DISCLAIMER
This indicator is for educational and analytical purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making trading decisions.
Version: 5.0
Category: Oscillators, Volume, Market Structure
Best For: All timeframes, trending and ranging markets
Complexity: Intermediate to Advanced
The Barking Rat ReversionsMean Reversion with Multi-Layered Precision
The Barking Rat Reversions is a short-term mean reversion strategy tailored for high-volatility markets. It combines several well-established technical tools in a configuration to identify overextended price movements likely to revert toward equilibrium. The goal is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups.
At its core, our strategy triggers off Fair Value Gaps (FVGs) that occur a considerable distance away from a dynamically defined equilibrium band. It then validates these gaps by checking proximity to recent support and resistance drawn from swing extremes.
Additional confirmation comes from momentum filters and wick-rejection patterns, ensuring each entry aligns with both price structure and stretched momentum. Exits use volatility-adjusted profit targets. Keeping the approach disciplined and adaptive.
🧠Core Logic: Selectivity & Structure
This strategy is intentionally very selective. We have designed it to filter out roughly 95% of all market noise, highlighting only setups that pass multiple validation layers outlined below.
Fair Value Gaps (FVGs) as the Primary Trigger
FVGs identify imbalance zones where price historically retraces. These inefficient zones often become magnets for reversion as the market seeks to rebalance.
Dynamic Equilibrium Band + S/R
Defines a fair value zone with a long-term moving average and combines it with shorter-term swing pivots to establish support/resistance. Only FVGs that occur outside the band and near recent pivots are considered, ensuring reversals are sufficiently distanced and not taken too close to the mean.
Proximity to Support/Resistance
Setup validity depends on location. The strategy filters for FVGs near well-defined structural levels — areas where price has previously turned (i.e., recent swing highs or lows). This increases the likelihood that reversals are occurring at legitimate zones of confluence.
Wick-Rejection Confirmation
Confirms potential exhaustion through characteristic candle wick patterns beyond the equilibrium region. This acts as another filter to improve signal accuracy.
Sequential Filtered Signals
Custom logic ensures that a new signal in any direction must improve upon the previous one, preventing repetitive or suboptimal entries.
Multi-Step Confirmation
All validation layers must coincide on the same bar before a signal triggers, dramatically reducing false positives.
📈Chart Visuals: Designed for Clarity
To ensure transparency and easy interpretation, the script overlays intuitive visuals:
Green “▲” below a candle: Indicates a potential long entry
Red “▼” above a candle: Indicates a potential short entry
Green “✔️”: Marks exit from a trade when ATR target is met
Background shading (green/red): Indicates trade direction while active
Support/Resistance lines: Auto-plotted from recent swing levels
🔔Alerts: Stay Notified Without Watching
The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed.
You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring.
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: HYPEUSDT
Backtesting range: Jul 21, 2025 — Aug 7, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Reversions strategy is ultra-selective, filtering out over 95% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
We conducted a broader backtest covering the period from December 5, 2024 to July 31, 2025, during which the strategy identified 968 high-probability setups on the same instrument and timeframe as the strategy report.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods
The strategy generates a sizeable number of trades, reducing reliance on a single outcome
Combined with conservative filters, the 25% setting offers a balance between aggression and control
Users are strongly encouraged to customize this to suit their risk profile.
🔍What Makes This Strategy Unique?
Multi-factor confirmation using FVGs, EMA deviation, RSI, wick rejection, and S/R
Clean, Intuitive Chart Experience
Real-time alerts triggered only on confirmation
Variables monitor prior reversal points, guaranteeing each new signal offers an improved entry
Tracks active positions and resets filters upon exit.
Fundur - Market Sentiment BIndicator Overview
The Market Sentiment B indicator is a sophisticated multi-timeframe momentum oscillator that provides comprehensive market analysis through advanced wave theory and sentiment measurement. Unlike traditional single-timeframe indicators, Market Sentiment B analyzes 11 different timeframes simultaneously to create a unified view of market momentum and sentiment.
What Makes Market Sentiment B Unique
Multi-Timeframe Convergence : The indicator combines data from 11 different periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987) based on mathematical sequences that naturally occur in market cycles.
Advanced Wave Analysis : The histogram component tracks momentum waves with precise peak and trough identification, allowing traders to spot both major moves and smaller precursor waves.
Sentiment Extremes Detection : When all 11 timeframes reach extreme levels simultaneously, the indicator highlights these rare conditions with background coloring, signaling potential major reversals.
Dynamic Zone Analysis : The indicator divides market conditions into Premium (80+), Discount (20-), and Liquidity zones (40-60), providing clear context for trade entries and exits.
Core Components
1. Market Sentiment B Line (Main Signal)
The primary oscillator line that represents the averaged sentiment across all timeframes. This line uses advanced mathematical filtering to smooth out noise while preserving important trend changes.
Key Features:
Oscillates between 0-100
Color-coded: Green when rising, Red when falling
Shows divergences with colored dots
Premium zone: 80+, Discount zone: 20-
2. Momentum Waves (Secondary Signal)
A smoothed version of the Market Sentiment B line that acts as a trend-following component. This line helps identify the underlying momentum direction.
Key Features:
Blue coloring during bullish expansion (above 50 and rising)
Orange coloring during bearish expansion (below 50 and falling)
Filled areas show expansion and contraction phases
Critical 50-line crossovers signal momentum shifts
3. Histogram (Wave Analysis)
The difference between Market Sentiment B and Momentum Waves, displayed as a histogram that reveals the relationship between current sentiment and underlying momentum.
Key Features:
Green bars: Positive momentum (Market Sentiment above Momentum Waves)
Red bars: Negative momentum (Market Sentiment below Momentum Waves)
Wave height labels show the strength of each wave
Divergence patterns identify potential reversals
4. Divergence System
Advanced divergence detection that identifies both regular and hidden divergences, with special "Golden Divergences" for the strongest signals.
Types:
Regular Divergences : Price makes new highs/lows while indicator doesn't
Hidden Divergences : Continuation patterns in trending markets
Golden Divergences : High-probability reversal signals (orange dots)
5. Zone Analysis
The indicator divides market conditions into distinct zones:
Premium Zone (80-100) : Potential selling area
Liquidity Zone (40-60) : Neutral/consolidation area (highlighted in orange)
Discount Zone (0-20) : Potential buying area
Extreme Conditions : Background coloring when all timeframes align
Setup Guide
Initial Installation
Open TradingView and navigate to your desired chart
Click the "Indicators" button or press "/" key
Search for "Fundur - Market Sentiment B"
Click on the indicator to add it to your chart
The indicator will appear in a separate pane below your chart
Essential Settings Configuration
Main Settings
Show Histogram Wave Values : Enable to see wave strength numbers
Wave Value Text Size : Choose from tiny, small, normal, or large
Wave Label Offset : Adjust label positioning (default: 2)
Market Sentiment Thresholds
Only Show Indicators at Market Sentiment Extremes : Filter signals to extreme zones only
Extreme levels are automatically set at 80 (high) and 20 (low)
Small Wave Strategy
Enable Small Wave Swing Strategy : Focus on smaller, early-warning waves
Small Wave Label Color : Customize the color for small wave labels
Divergence Analysis
Show Regular Divergences : Enable standard divergence detection
Show Gold Divergence Dots : Enable high-probability golden signals
Show Divergence Dots : Show all divergence markers
Histogram Settings
Enable Histogram : Toggle the histogram display
Divergence Types : Choose which types to display (Bullish/Bearish Reversals and Continuations)
Recommended Initial Setup
Enable all main components (Histogram, Divergences, Momentum Waves)
Set wave value text size to "small" for clarity
Enable golden divergence dots for premium signals
Start with all alert categories enabled, then customize based on your trading style
Basic Trading Guide
Understanding the Zones
Premium Zone Trading (80-100)
When to Consider Selling:
Market Sentiment B enters 80+ zone
Bearish divergences appear
Histogram shows weakening momentum (smaller green waves)
Background turns red (extreme conditions)
What to Look For:
Bearish pivot signals (orange triangles pointing down)
Golden divergence dots at tops
Momentum Waves turning bearish
Discount Zone Trading (0-20)
When to Consider Buying:
Market Sentiment B enters 0-20 zone
Bullish divergences appear
Histogram shows strengthening momentum (smaller red waves)
Background turns green (extreme conditions)
What to Look For:
Bullish pivot signals (blue triangles pointing up)
Golden divergence dots at bottoms
Momentum Waves turning bullish
Liquidity Zone Trading (40-60)
Consolidation and Breakout Zone:
Orange-filled area indicates neutral sentiment
Wait for clear breaks above 60 or below 40
Use for range-bound trading strategies
Look for momentum wave direction changes
Key Signal Types
1. Zone Crossovers
Above 60 : Bullish momentum building
Below 40 : Bearish momentum building
50-line crosses : Primary trend changes
2. Divergence Signals
Golden dots : Strongest reversal signals that align accross different timeframes
Colored dots : Standard divergence warnings
Hidden divergences : Trend continuation signals
3. Histogram Patterns
Increasing green bars : Building bullish momentum
Increasing red bars : Building bearish momentum
Smaller waves : Early warning signals of deteriorating interest
Basic Entry Rules
Long Entries
Market Sentiment B in discount zone (0-20) OR
Bullish divergence confirmed OR
Break above 40 from oversold conditions OR
Golden divergence dot at bottom
Short Entries
Market Sentiment B in premium zone (80-100) OR
Bearish divergence confirmed OR
Break below 60 from overbought conditions OR
Golden divergence dot at top
Exit Rules
Exit longs when entering premium zone
Exit shorts when entering discount zone
Close positions on opposite divergence signals
Use histogram wave tops/bottoms for fine-tuning exits
Advanced Analysis Setups
Setup 1: Scalping Configuration
Purpose : Quick intraday trades focusing on small moves
Settings :
Enable Small Wave Strategy
Show indicators only at extremes: OFF
Combine multiple alerts: ON
Focus on 1-5 minute timeframes
Signals to Watch :
Small wave histogram peaks/troughs
Quick zone crossovers (40/60 line breaks)
Momentum wave direction changes
Short-term divergences
Setup 2: Swing Trading Configuration
Purpose : Medium-term trend following and reversal trading
Settings :
Show indicators only at extremes: ON
Enable all divergence types
Focus on 15-minute to 4-hour timeframes
Golden divergence alerts: HIGH priority
Signals to Watch :
Premium/discount zone entries
Golden divergence signals
Extreme condition backgrounds
Major histogram wave formations
Setup 3: Position Trading Configuration
Purpose : Long-term trend identification and major reversal spots
Settings :
Only alert in extremes: ON
Focus on golden divergences only
Use daily and weekly timeframes
Minimize noise with extreme filtering
Signals to Watch :
Extreme condition backgrounds (red/green)
Major golden divergence signals
Long-term momentum wave trends
Weekly/monthly zone transitions
Setup 4: Reversal Hunting Configuration
Purpose : Catching major market turns at key levels
Settings :
Enable all divergence types
Show golden divergence dots: ON
Extreme filtering: ON
Small wave strategy: OFF
Signals to Watch :
Multiple divergence confirmations
Golden divergence + extreme zones
All-timeframe extreme conditions
Major histogram wave exhaustion
Setup 5: Trend Following Configuration
Purpose : Riding momentum in established trends
Settings :
Momentum waves: HIGH priority
Hidden divergences: ON
Continuation patterns focus
Zone crossover alerts
Signals to Watch :
Momentum wave expansion phases
Hidden divergence continuations
Liquidity zone breakouts
Sustained momentum patterns
Alert System
The Market Sentiment B indicator features a comprehensive alert system with over 30 different alert types organized into logical categories.
Alert Categories
Market Sentiment B Line Alerts
Golden Divergences : Highest priority reversal signals
Standard Divergences : Regular divergence patterns
Bearish/Bullish Pivots : Momentum pivot points
Premium/Discount Zone : Zone entry/exit alerts
Extreme Conditions : Rare all-timeframe extremes
Liquidity Zone : 40-60 zone movement alerts
Momentum Waves Alerts
Premium/Discount Zones : 80+/20- level alerts
Liquidity Zone Movement : 40-60 zone alerts
Expansion Phases : Bullish/bearish expansion alerts
Direction Changes : 50-line crossover alerts
Cross Alerts : MSB vs Momentum crossovers
Histogram Alerts
State Changes : Bullish/bearish turns
Peak/Trough Detection : Wave top/bottom alerts
Divergence Alerts : Histogram-specific divergences
Hidden Divergences : Continuation pattern alerts
Smaller Wave Alerts : Early warning signals
Alert Configuration Tips
For Day Trading
Enable quick state change alerts
Focus on histogram and small wave alerts
Use combined alerts to reduce noise
Disable extreme-only filtering
For Swing Trading
Enable zone crossover alerts
Focus on divergence and pivot alerts
Use extreme-only filtering
Prioritize golden divergence alerts
For Position Trading
Enable only golden divergences and extreme conditions
Use extreme-only filtering
Focus on major zone transitions
Disable minor wave alerts
Trading Strategies
Strategy 1: Premium/Discount Zone Reversal
Setup : Wait for Market Sentiment B to reach extreme zones
Entry :
Long: Enter discount zone (0-20) with bullish divergence
Short: Enter premium zone (80-100) with bearish divergence
Exit : Opposite zone reached or momentum wave reversal
Risk Management : Stop loss at recent swing high/low
Strategy 2: Golden Divergence Power Plays
Setup : Wait for golden divergence dots to appear
Entry : Enter in direction opposite to divergence (reversal play)
Confirmation : Wait for momentum wave to confirm direction
Exit : When sentiment reaches opposite zone
Risk Management : Tight stops below/above divergent pivot
Strategy 3: Momentum Wave Trend Following
Setup : Identify strong momentum wave expansion phases
Entry : Enter on pullbacks to 50-line during expansion
Continuation : Hold while expansion phase continues
Exit : When expansion phase ends or opposite expansion begins
Risk Management : Trail stops using wave peaks/troughs
Strategy 4: Small Wave Early Entry
Setup : Enable Small Wave Strategy for early signals
Entry : Enter on small wave formations before major moves
Confirmation : Wait for main sentiment line to follow
Exit : When major wave forms or opposite signal appears
Risk Management : Quick exits if main indicator doesn't confirm
Strategy 5: Extreme Condition Contrarian
Setup : Wait for background color changes (extreme conditions)
Entry : Counter-trend when ALL timeframes are extreme
Confirmation : Look for early divergence signs
Exit : When background color disappears
Risk Management : Position size smaller due to counter-trend nature
FAQ & Troubleshooting
Frequently Asked Questions
Q: Why don't I see any signals on my chart?
A: Check if "Only Show Indicators at Market Sentiment Extremes" is enabled. If so, signals only appear when the indicator is above 80 or below 20.
Q: What's the difference between golden and standard divergences?
A: Golden divergences (orange dots) are higher-probability signals that meet additional criteria for strength and momentum alignment. Standard divergences are regular price/indicator disagreements.
Q: How do I reduce alert noise?
A: Enable "Only Alert In Extremes" in the alert settings, or use "Combine Multiple Alerts" to consolidate multiple signals into single messages.
Q: What timeframe works best with this indicator?
A: The indicator works on all timeframes. For day trading, use 1-15 minutes. For swing trading, use 1-4 hours. For position trading, use daily or weekly.
Q: Why are the histogram wave values important?
A: Wave values show the strength of momentum. Declining wave values (smaller peaks) often precede trend changes, while increasing values confirm trend strength.
Troubleshooting Common Issues
Issue: Indicator not loading
Solution: Ensure you're using TradingView Pro or higher
Check that max_bars_back is set appropriately
Refresh the chart and re-add the indicator
Issue: Too many alerts firing
Solution: Enable extreme-only filtering
Disable less important alert categories
Use combined alerts feature
Issue: Missing divergence signals
Solution: Check that divergence detection is enabled
Ensure you're looking in the correct zones
Verify that extreme filtering isn't hiding signals
Issue: Histogram not displaying
Solution: Check that "Enable Histogram" is turned ON
Verify histogram divergence types are enabled
Ensure the chart has sufficient historical data
Best Practices
Start Simple : Begin with basic zone trading before using advanced features
Paper Trade First : Test strategies with paper trading before risking capital
Combine with Price Action : Use the indicator alongside support/resistance levels
Respect Risk Management : Never risk more than you can afford to lose
Keep Learning : Market conditions change; adapt your usage accordingly
Performance Optimization
Use appropriate timeframes for your trading style
Enable only necessary alert types
Consider using extreme filtering during high-volatility periods
Regularly review and adjust settings based on market conditions
Conclusion
The Market Sentiment B indicator represents a sophisticated approach to market analysis, combining multiple timeframes, advanced wave theory, and comprehensive divergence detection into a single powerful tool. Whether you're a scalper looking for quick opportunities or a position trader seeking major reversals, this indicator provides the insights needed to make informed trading decisions.
Remember that no indicator is perfect, and the Market Sentiment B should be used as part of a comprehensive trading plan that includes proper risk management, fundamental analysis awareness, and sound money management principles.
Happy Trading!
Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. Always practice proper risk management and never trade with money you cannot afford to lose.
[Stratégia] VWAP Mean Magnet v9 (Simple Alert)This strategy is specifically designed for a ranging (sideways-moving) Bitcoin market.
A trade is only opened and signaled on the chart if all three of the following conditions are met simultaneously at the close of a candle:
Zone Entry
The price must cross into the signal zone: the red band for a Short (sell) position, or the green band for a Long (buy) position.
RSI Confirmation
The RSI indicator must also confirm the signal. For a Short, it must go above 65 (overbought condition). For a Long, it must fall below 25 (oversold condition).
Volume Filter
The volume on the entry candle cannot be excessively high. This safety filter is designed to prevent trades during risky, high-momentum breakouts.
Fundur - Market Sentiment A Fundur - Market Sentiment A: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Market Sentiment A is a revolutionary multi-timeframe sentiment analysis indicator that combines advanced ZigZag pivot detection, wave-based structure analysis, and comprehensive market sentiment evaluation into one powerful trading tool. This indicator is designed to identify high-probability reversal points and trend continuations by analyzing market sentiment across 11 different timeframes simultaneously.
What Makes Market Sentiment A Unique?
Market Sentiment A is a sophisticated ZigZag system that utilizes the Market Sentiment B oscillator to perform advanced on-chart analysis against price action. By introducing Histogram-Correlated ZigZag Analysis - a breakthrough methodology that correlates sentiment histogram waves with actual price pivots to identify validated market extremes. Unlike static pivot indicators, Market Sentiment A provides dynamic analysis that adapts to changing market conditions while maintaining precise accuracy in pivot identification.
Core Methodology
The indicator operates on the principle that market sentiment oscillates in measurable waves that precede price movements. By analyzing sentiment patterns across multiple timeframes and correlating them with histogram wave behavior, traders can identify precise entry and exit points with quantifiable strength ratings and comprehensive wave event analysis.
Key Features
🎯 Revolutionary ZigZag System
Histogram-Correlated Detection : Unique correlation between sentiment waves and price pivots
Dynamic Speed Control : High, Medium, Low sensitivity settings for different market conditions
Validated Extremes : Only confirmed pivots are marked with comprehensive validation system
Real-Time Correlation : Live correlation between histogram turns and price extremes
📊 Multi-Timeframe Sentiment Engine
11 Timeframe Analysis : Simultaneous analysis across periods from 8 to 987 bars
Advanced Sentiment Calculation : Proprietary algorithm combining multiple sentiment factors
Momentum Wave Integration : 34-period momentum waves for trend context
Dynamic Smoothing : Optional smoothing for cleaner signals
🧠 Intelligent Wave Event Tracking
Green Wave Events : Bullish histogram wave analysis with comprehensive event detection
Red Wave Events : Bearish histogram wave analysis with detailed event tracking
Event Deduplication : Advanced system prevents duplicate event detection
10+ Event Types : MPIV, HTURN, TRI, SW, VOL, MDIV, HDIV, PDIV and more
⚖️ Advanced Strength Rating System
0-100 Strength Score : Comprehensive strength calculation for every pivot
Multi-Factor Analysis : Based on wave events, trend context, structure, and sentiment
Real-Time Calculation : Dynamic strength scoring as conditions change
Strength Breakdown : Detailed tooltip showing strength components
🎨 Sophisticated Visual System
Validated Pivot Labels : Clear ✓ markers for confirmed extremes
Structure Analysis : HH/HL/LH/LL structure identification with trend context
Dynamic ZigZag Lines : Connecting validated extremes with trend-based coloring
Bar Coloring Options : Momentum swings and market sentiment bar coloring
Comprehensive Tooltips : Detailed information on hover for every pivot
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart
Click the "Indicators" button or press "/" key
Search for "Fundur - Market Sentiment A"
Add the indicator to your chart
Step 2: Core System Configuration
ZigZag System Settings
✅ Enable ZigZag System: ON (Core functionality)
ZigZag Speed : Choose based on your trading style:
High Speed : Most sensitive, fastest detection (2-bar lookback) - Best for scalping
Medium Speed : Balanced approach (3-bar lookback) - Recommended for most traders
Low Speed : Most reliable, slower detection (4-bar lookback) - Best for swing trading
✅ Show ZigZag Lines: ON (Visual connection of validated pivots)
Bar Coloring Settings
⚠️ Momentum Swings: OFF (Avoid visual clutter initially)
✅ Market Sentiment: ON (Primary sentiment-based bar coloring)
Step 3: Label Display Configuration
Essential Labels (Recommended Settings)
✅ Show Validated Pivots (✓): ON (Core validated extremes)
⚠️ Show Potential Turns (●): OFF (Reduces noise - enable once familiar)
⚠️ Show Structure Labels: OFF (Start clean, enable for advanced analysis)
⚠️ Include Trend in Structure Labels: OFF (Advanced feature)
✅ Show Strength Rating (💪): ON (Critical for trade quality assessment)
⚠️ Show Market Sentiment Wave Events: OFF (Advanced feature for later)
Label Visual Customization
Label Coloring : Standard (Highs=Red, Lows=Green)
Label Size : Normal
Label Transparency : 0%
Text Transparency : 0%
Step 4: Alert System Setup
✅ Enable Alerts: ON
⚠️ Alert Potential Bullish Turns: OFF (Disabled by design to prevent noise)
⚠️ Alert Potential Bearish Turns: OFF (Disabled by design to prevent noise)
✅ Alert ONLY on Confirmed Extremes: ON (High-quality signals only)
✅ Include Wave Events in Confirmed Alerts: ON (Comprehensive context)
Basic Trading Guide
Understanding the Dynamic ZigZag System
Market Sentiment A is fundamentally a Dynamic ZigZag System that displays validated highs and lows on your price chart. The indicator uses Market Sentiment B wave calculations internally to determine when sentiment waves finish, but these histograms and oscillators are NOT displayed on your chart .
What You See on Your Chart:
✓ Validated Highs : Red checkmarks marking confirmed resistance levels
✓ Validated Lows : Green checkmarks marking confirmed support levels
ZigZag Lines : Connecting validated extremes to show market structure
💪 Strength Ratings : 0-100 scores indicating signal quality
Structure Labels : HH/HL/LH/LL showing trend context
How Validation Works (Behind the Scenes):
High Validation : Uses Market Sentiment B wave analysis to confirm when a price high represents a true resistance level
Low Validation : Uses Market Sentiment B wave analysis to confirm when a price low represents a true support level
Dynamic Detection : Continuously monitors sentiment waves to validate extremes in real-time
Quality Filtering : Only displays the most significant highs and lows based on wave completion
Key Trading Concept:
Focus entirely on the validated highs and lows displayed on your chart. These represent dynamic support and resistance levels that have been confirmed by underlying sentiment analysis. The histogram and oscillator calculations happen internally - your trading decisions should be based on price action around these validated levels.
Entry Strategies
Primary Strategy: Dynamic Support/Resistance Reversals
Setup : Wait for validated pivot with ✓ marker and strength rating displayed on chart
Entry Timing : Enter on the bar when validation occurs or on pullback to the validated level
Direction : Counter-trend to the validated extreme (buy at validated lows/support, sell at validated highs/resistance)
Confirmation : Look for strength rating above 60 for higher probability setups
Structure Context : Consider overall trend using HH/HL/LH/LL structure labels
Secondary Strategy: ZigZag Trend Continuation
Setup : Identify trend direction using consecutive validated highs and lows
Entry : Enter in trend direction when price pulls back to previous validated level
Confirmation : Look for structure labels confirming trend (HH/HL for uptrend, LH/LL for downtrend)
Strength Filter : Use strength ratings above 70 for trend continuation entries
Stop Loss Methodology
For Long Positions (Validated Lows) : Place stop below the validated low price level
For Short Positions (Validated Highs) : Place stop above the validated high price level
Alternative Method : Use previous validated extreme in opposite direction as stop level
Structure-Based Method : Use significant validated levels that would invalidate the trade setup
Buffer Consideration : Add small buffer beyond validated level to account for wicks and spread
Profit Taking Strategy
For Long Positions (Validated Low Entries):
Target 1 : Previous validated high shown on chart (75% of position)
Target 2 : Next significant validated high or key resistance level (50% of remaining 25% = 12.5% of original position)
Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position)
Management : Move stop loss to breakeven once first target (TP1) is executed
For Short Positions (Validated High Entries):
Target 1 : Previous validated low shown on chart (75% of position)
Target 2 : Next significant validated low or key support level (50% of remaining 25% = 12.5% of original position)
Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position)
Management : Move stop loss to breakeven once first target (TP1) is executed
ZigZag Structure Trading Approach
Sideways Markets : Trade between validated highs and lows - buy at support, sell at resistance
Trending Markets : Use validated levels as pullback entry points in trend direction
Structure Breaks : Watch for breaks of significant validated levels to signal trend changes
Range Identification : Use consecutive validated highs and lows to identify trading ranges
Breakout Trading : Enter when price breaks beyond validated levels with strong momentum
Strength Rating Interpretation
Understanding the 0-100 Strength Score
The strength rating combines multiple factors:
Base Strength (25 points) : Fundamental pivot validation
Wave Events (12 points each) : Number and quality of wave events detected
Trend Context (5-10 points) : Alignment with overall trend direction
Structure Quality (3-8 points) : HH/HL/LH/LL structure strength
Sentiment Position (5-10 points) : Extreme sentiment readings
Momentum Context (5 points) : Momentum divergence confirmation
Strength Categories
90-100 : Exceptional strength - Highest probability setups
75-89 : Strong signal - High confidence trades
60-74 : Good signal - Solid trading opportunities
45-59 : Moderate signal - Use additional confirmation
30-44 : Weak signal - Proceed with caution
Below 30 : Very weak - Generally avoid
Wave Event Reference (Calculation Background)
Understanding Wave Events in Strength Calculations
Wave events are used internally by Market Sentiment A to calculate strength ratings and validate pivots. While these events may appear in alert messages or tooltips, they are not meant for direct trading decisions - they are calculation components that contribute to the overall strength score.
Key Wave Events (For Reference Only)
MPIV↑/MPIV↓ : Momentum pivot detection used in validation process
HTURN : Histogram turn identification used for wave completion
TRI↑/TRI↓ : Triangle pattern detection contributing to strength calculation
SW : Small wave indication affecting pivot quality assessment
VOL : Volume spike detection adding to strength scoring
MDIV↑/MDIV↓ : Momentum divergence contributing to validation strength
HDIV↑/HDIV↓ : Histogram divergence used in pivot confirmation
PDIV↑/PDIV↓ : Price divergence analysis for strength enhancement
How Wave Events Affect Your Trading
Strength Score Impact : More events generally result in higher strength ratings for validated pivots
Alert Context : Events may be mentioned in alerts to provide background on signal quality
Focus on Results : Instead of analyzing individual events, focus on the final strength rating and validated pivot levels
Trust the System : The indicator processes these events automatically - your job is to trade the validated highs and lows
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Core Settings:
ZigZag Speed: High (fastest detection for quick scalps)
Show Validated Pivots: ON
Show Strength Rating: ON
Bar Coloring: Market Sentiment
Visual Settings:
Label Size: Small (reduce visual clutter)
ZigZag Lines: ON
Potential Turns: ON (for immediate signals)
Trading Approach:
Focus on strength ratings above 70 for scalp entries
Quick entries at validated highs/lows with immediate execution
Tight stops just beyond validated levels
Target previous validated pivots shown on chart for quick profits
Use ZigZag structure to identify rapid reversal opportunities
Setup 2: Day Trading Configuration (5-15 minute charts)
Core Settings:
ZigZag Speed: Medium (balanced approach)
Show Validated Pivots: ON
Show Strength Rating: ON
Include Wave Events: ON (for context)
Visual Settings:
Label Size: Normal
Show Structure Labels: ON (for trend context)
ZigZag Lines: ON with trend coloring
Trading Approach:
Wait for strength ratings above 60 for quality setups
Use HH/HL/LH/LL structure labels for trend bias
Combine reversal trades at extremes with trend continuation at pullbacks
Hold positions targeting next validated pivot levels
Use ZigZag structure analysis for entry timing and market context
Setup 3: Swing Trading Configuration (1-4 hour charts)
Core Settings:
ZigZag Speed: Low (most reliable signals)
Show Validated Pivots: ON
Show Structure Labels: ON
Include Trend Analysis: ON
Visual Settings:
Label Size: Normal
Show all wave events for comprehensive analysis
Enable all alert types
Trading Approach:
Focus on strength ratings above 75 for swing positions
Emphasize trend continuation using ZigZag structure
Use validated level breaks for major position adjustments
Hold positions across multiple sessions targeting distant validated levels
Use comprehensive structure analysis (HH/HL/LH/LL) for entries/exits
Setup 4: Position Trading Configuration (4H-Daily charts)
Core Settings:
ZigZag Speed: Low (maximum reliability)
Show Validated Pivots: ON
Show Structure Labels: ON
Show all analysis features
Visual Settings:
Clean, comprehensive labeling
Full wave event display
Trend-based coloring for major bias
Trading Approach:
Only trade strength ratings above 80 for position entries
Focus on major ZigZag structure changes and validated level breaks
Use long-term structure analysis (HH/HL/LH/LL) for bias
Hold positions for weeks to months targeting major validated levels
Align with fundamental analysis and major market structure
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs:
Use Medium to Low speed settings
Focus on major session changes
Pay attention to news event correlation
Use strength ratings above 70
For Crypto Assets:
Medium speed for 24/7 market adaptation
Higher volatility requires strength above 75
Monitor weekend behavior patterns
Consider market sentiment cycles
For Stock Markets:
Align with market hours
Consider earnings and economic events
Use sector-specific analysis
Respect market close/open dynamics
Visual Components
Core Visual Elements
✓ Validated Pivots : Green checkmarks for confirmed lows, red for confirmed highs
● Potential Turns : Small dots showing histogram turn correlations (optional)
ZigZag Lines : Connecting validated extremes with trend-based coloring
💪 Strength Ratings : Numerical strength scores from 0-100
Structure Labels : HH/HL/LH/LL with trend context (optional)
Bar Coloring System
Market Sentiment Coloring : Based on sentiment oscillator position and momentum
Extreme Conditions : Special coloring for extreme overbought/oversold conditions
Momentum Swing Coloring : Alternative coloring based on momentum analysis
Advanced Visual Features
Wave Event Labels : Comprehensive event display within pivot labels
Trend Context : Dynamic trend identification and display
Strength Breakdown : Detailed tooltips showing strength components
Custom Coloring Modes : Standard vs trend-based coloring options
Alert System
Core Alert Types
Validated High Confirmed : When red wave validates ultimate high with full context
Validated Low Confirmed : When green wave validates ultimate low with full context
Trend Change Detected : When structure analysis detects trend shifts
Alert Message Structure
Each alert includes:
Timeframe identification
Signal type (BULLISH/BEARISH)
Structure context (HH/HL/LH/LL)
Strength score with 💪 rating
Exact price level
Wave events context (if enabled)
Setting Up Alerts
Enable desired alert types in indicator settings
Focus on "Confirmed Extremes" alerts for quality
Enable wave events for comprehensive context
Test alerts on historical data first
Set up multiple notification methods
Risk Management Framework
Strength-Based Position Sizing
Strength 90-100 : Maximum position size (3-5% risk)
Strength 75-89 : Large position size (2-3% risk)
Strength 60-74 : Standard position size (1-2% risk)
Strength 45-59 : Small position size (0.5-1% risk)
Below 45 : Avoid or minimal size (0.25% risk maximum)
Stop Loss Guidelines
Primary Method : Always use validated pivot levels for stops
Buffer Method : Add small buffer beyond validation level
Multiple Timeframe : Consider higher timeframe validated levels
Wave Event Context : Adjust stops based on event confluence
Risk-Reward Optimization
Minimum R:R : 1.5:1 for all trades
Preferred R:R : 2:1 or better for strength above 70
Exceptional Setups : 3:1+ for strength above 85
Position Management : Take 75% at TP1, 50% of remaining at TP2, close remaining at TP3
Stop Management : Move stop to breakeven after TP1 execution
Best Practices
Signal Quality Assessment
Always wait for validated pivots with ✓ checkmarks displayed on chart
Prioritize strength ratings above 60 for trade quality
Focus on the validated high/low levels rather than underlying calculations
Consider HH/HL/LH/LL structure labels for directional bias
Use ZigZag line connections to understand market structure flow
Entry Timing Optimization
Enter on validation bar or immediate pullback to validated level
Use lower timeframes for precise entry refinement around validated levels
Wait for strength score calculation completion before entry
Monitor price action around validated highs and lows
Consider multiple timeframe validated level alignment
Exit Strategy Management
Use opposite validated pivots displayed on chart as primary targets
Execute Fundur 3-stage exit: 75% at TP1, 12.5% at TP2, 12.5% at TP3
Move stop loss to breakeven immediately after TP1 execution
Monitor strength ratings of new validated levels that could reverse remaining position
Watch for structure changes (trend breaks) via HH/HL/LH/LL labels for early exit consideration
Common Mistakes to Avoid
Signal Interpretation Errors
Don't trade potential turns without ✓ validation markers
Never ignore strength ratings below 45 - they indicate weak signals
Don't chase signals after significant movement away from validated levels
Avoid overriding clear ZigZag structure and trend context
Don't ignore the relationship between consecutive validated highs and lows
Risk Management Failures
Never risk more than the strength score suggests for position sizing
Don't move stops against validated levels - they represent key structure
Avoid oversizing on "sure thing" setups - even high-strength signals can fail
Don't ignore multiple timeframe validated level context
Never trade without clear invalidation levels (validated highs/lows for stops)
System Usage Mistakes
Don't enable all features immediately - start simple
Avoid changing speed settings mid-session
Don't ignore alert system capabilities
Never disable core validation features
Don't overlook customization for your chart setup
Advanced Techniques
Multi-Timeframe ZigZag Analysis
Use higher timeframe validated levels for major bias and targets
Align lower timeframe entries with higher timeframe validated structure
Look for validated level confluence across timeframes
Monitor strength rating consistency of validated levels across periods
Advanced Structure Pattern Recognition
Identify recurring validated level patterns and their outcomes
Recognize high-probability ZigZag structure sequences
Use historical validated level patterns for target projection
Combine ZigZag analysis with other Fundur technical analysis tools
Advanced Alert Utilization
Create custom alert combinations based on strength thresholds
Use validated level break alerts for position management
Combine strength rating filters with validated pivot alerts
Develop systematic responses to different validated level types
Conclusion
The Fundur - Market Sentiment A indicator represents a breakthrough in technical analysis, providing a dynamic ZigZag system that displays validated highs and lows with unprecedented accuracy. By following the methodologies outlined in this guide and adapting the settings to your trading style, you can harness the full power of this sophisticated system for more precise and profitable trading decisions.
The key to success with Market Sentiment A lies in understanding that it is fundamentally a dynamic support and resistance system. Focus on the validated highs and lows displayed on your chart, use the strength ratings to assess signal quality, and leverage the structure analysis for trend context. Start with conservative settings, focus on high-strength signals, and gradually incorporate advanced features as you become familiar with the system's behavior across different market conditions.
Remember that this indicator provides the tools for identification and analysis - successful trading still requires proper risk management, psychological discipline, and continuous learning. Use the strength rating system as your primary guide, respect the validated pivot methodology, and always prioritize capital preservation over profit maximization.
RS Ratio vs Benchmark (Colored)📈 RS Ratio vs Benchmark (with Color Change)
A simple but powerful tool to track relative strength against a benchmark like QQQ, SPY, or any other ETF.
🔍 What it Shows
RS Ratio (orange line): Measures how strong a stock is relative to a benchmark.
Moving Average (teal line): Smooths out RS to show trend direction.
Color-coded RS Line:
🟢 Green = RS is above its moving average → strength is increasing.
🔴 Red = RS is below its moving average → strength is fading.
📊 How to Read It
Above 100 = Stock is outperforming the benchmark.
Below 100 = Underperforming.
Rising & Green = Strongest signal — accelerating outperformance.
Above 100 but Red = Consolidating or losing momentum — potential rest period.
Crosses below 100 = Warning sign — underperformance.
✅ Best Uses
Spot leading stocks with strong momentum vs QQQ/SPY.
Identify rotation — when strength shifts between sectors.
Time entries and exits based on RS trends and crossovers.
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
