M-oscillator
Custom Divergence Indicator (Regular & Hidden)Identifies bullish and hidden bullish divergence as well as bearish and hidden bearish divergence over desired timeframe. And shows how long the divergence has been building.
OBV Oscillator with Divergence CirclesCredit to original code from the 'PPO Divergence alerts' by Scarf and OBV Oscillator by LazyBear is used as the input.
Replication of Lunndi 'OBV Divergence Alerts (BETA)' script with additional divergence logic implemented.
OBV-based divergence logic adapted from RSI divergence logic added in addition to existing divergence logic.
Modify length and smoothing to suit your trading style. Open source free for use.
TheDevashishratio-MomentumThis custom momentum indicator is inspired by Fibonacci principles but builds a unique sequence with steps of 0.5 (i.e., 0, 0.5, 1, 1.5, 2, ...). Instead of traditional Fibonacci numbers, each step functions as a dynamic lookback period for a momentum calculation. By cycling through these fractional steps, you capture a layered view of price momentum over varying intervals.
The "Fibonacci" Series Used
Sequence:
0, 0.5, 1, 1.5, 2, … up to a user-defined maximum
For trading indicators, lag values (lookback) must be integers, so each step is rounded to the nearest integer and duplicates are removed, resulting in lookbacks:
1, 2, 3, 4, ... N
Indicator Logic
For each selected lookback, the indicator calculates momentum as:
Momentum
n
=
close
−
close
Momentum
n
=close−close
Where:
close = current price
n = integer from your series of
You can combine these momenta for an averaged or weighted momentum profile, displaying the composite as an oscillator.
How To Use
Bullish: Oscillator above zero indicates positive composite momentum.
Bearish: Oscillator below zero indicates negative composite momentum.
Crosses: A cross from below to above zero may signal emerging bullish momentum, and vice versa.
Customization
Adjust max_step to control how many interval lags you want in your composite.
This oscillator averages across many short and mid-term momenta, reducing noise while still being sensitive to changes.
Summary
TheDevashishratio-Momentum offers a fresh momentum oscillator, blending a "Fibonacci-like" progression with technical analysis, and can be easily copy-pasted into TradingView to experiment and refine your edge.
For more on momentum indicator logic or how to use arrays and series in Pine Script, explore TradingView's official documentation and open-source scripts
Overheat Oscillator with DivergenceIndicator Description
The Overheat Oscillator with Divergence is an advanced technical indicator designed for the TradingView platform, assisting traders in identifying potential market reversal points by analyzing price momentum and volume, as well as detecting divergences. The indicator combines trend strength assessment with signal smoothing to provide clear indications of market overheat or oversold conditions. An optional divergence detection feature allows for the identification of discrepancies between price movement and the oscillator's value, which may signal upcoming trend changes.
The indicator is displayed in a separate panel below the price chart and offers visual cues through a color gradient, horizontal reference lines, and a dynamic market sentiment table. Users can customize numerous parameters, such as calculation periods, sentiment thresholds, line colors, and visualization styles, making the indicator a versatile tool for various trading strategies.
How the Indicator Works
The indicator is based on the following key components:
Oscillator Calculations
The indicator analyzes price candles, assigning a score based on their nature. A bullish candle (when the closing price is higher than the opening price) receives a score of +1.0, while a bearish candle (when the closing price is lower than the opening price) receives a score of -1.0. This scoring reflects the strength of price movement over a given period.
The score is modified by a volume multiplier (default: 2.0) if the candle's volume exceeds the volume's simple moving average (SMA, default: calculated over 20 candles). This ensures that candles with higher volume have a greater impact on the oscillator's value, better capturing significant market movements driven by increased trading activity. For example, a bullish candle with high volume may receive a score of +2.0 instead of +1.0, amplifying the bullish signal.
The scores are summed over a specified number of candles (default: 20), normalized to a 0–100 range, and then smoothed using a simple moving average (SMA, default: 5 periods) to reduce noise and improve signal clarity.
Color Gradient
The oscillator's values are visualized using a color gradient that changes based on the oscillator's level:
Green: Market cooldown (values below the Gradient Min threshold).
Yellow: Neutral sentiment (values between Gradient Min and Gradient Yellow).
Orange: Elevated activity (values between Gradient Yellow and Gradient Orange).
Red: Market overheat (values above Gradient Orange).
The color gradient is applied as the background in the oscillator panel, facilitating quick assessment of market sentiment.
Reference Levels
The indicator displays customizable horizontal lines for key thresholds (e.g., Overheat Threshold, Oversold Threshold, Gradient Min, Yellow, Orange, Max). These lines are visible only at the height of the last few oscillator candles, preventing chart clutter and helping users focus on current values.
Users can also define three custom horizontal lines with selectable styles (solid, dotted, dashed) and colors. These lines serve as auxiliary tools, e.g., for marking personal support/resistance levels, but do not affect the oscillator's signals or background colors.
Market Sentiment
The indicator displays sentiment labels in a table located in the top-right corner of the panel, dynamically updating based on the oscillator's value:
Cooled: Values below Gradient Yellow (default: 35).
Neutral: Values between Gradient Yellow and Gradient Orange (default: 60).
Excited: Values between Gradient Orange and Overheat Threshold (default: 70).
Overheated: Values above Overheat Threshold (default: 70).
The Overheat Threshold and Oversold Threshold are critical for displaying the "Overheated" and "Cooled" labels in the sentiment table, enabling users to quickly identify extreme market conditions. The labels update when key thresholds are crossed, and their colors match the oscillator's gradient.
Divergence Detection
The indicator offers optional detection of regular bullish and bearish divergences:
Bullish Divergence: Occurs when the price forms a lower low, but the oscillator forms a higher low, suggesting a weakening downtrend.
Bearish Divergence: Occurs when the price forms a higher high, but the oscillator forms a lower high, suggesting a weakening uptrend.
Divergences are marked on the chart with labels ("Bull" for bullish, "Bear" for bearish) and lines indicating pivot points. They are calculated with a delay equal to the Lookback Right setting (default: 5 candles), meaning signals appear after pivot confirmation in the specified lookback period. The indicator also generates alerts for users when a divergence is detected.
Indicator Settings
Main Settings (SETTINGS)
Period Length: Specifies the number of candles used for oscillator calculations (default: 20).
Volume SMA Period: The period for the volume's simple moving average (default: 20).
Volume Multiplier: Multiplier applied to candle scores when volume exceeds the average (default: 2.0).
SMA Length: The period for smoothing the oscillator with a simple moving average (default: 5).
Thresholds (THRESHOLDS)
Overheat Threshold: Level indicating market overheat (default: 70). This value determines when the sentiment table displays the "Overheated" label, signaling a potential peak in an uptrend.
Oversold Threshold: Level indicating market cooldown (default: 30). This value determines when the sentiment table displays the "Cooled" label, signaling a potential bottom in a downtrend.
Gradient Min (Green): Lower threshold for the green gradient (default: 20).
Gradient Yellow Threshold: Threshold for the yellow gradient (default: 35).
Gradient Orange Threshold: Threshold for the orange gradient (default: 60).
Gradient Max (Red): Upper threshold for the red gradient (default: 70).
Visualization (VISUALIZATION)
Signal Line Color: Color of the oscillator line (default: dark red, RGB(5, 0, 0)).
Show Reference Lines: Enables/disables the display of threshold lines (default: enabled).
Divergence Settings (DIVERGENCE SETTINGS)
Calculate Divergence: Enables/disables divergence detection (default: disabled).
Lookback Right: Number of candles back for pivot analysis (default: 5).
Lookback Left: Number of candles to the left for pivot analysis (default: 5).
Line Style (STYLE)
Custom Line 1, 2, 3 Value: Levels for custom horizontal lines (default: 70, 50, 30).
Custom Line 1, 2, 3 Color: Colors for custom lines (default: black, RGB(0, 0, 0)).
Custom Line 1, 2, 3 Style: Line styles (solid, dotted, dashed; default: dashed, dotted, dashed).
How to Use the Indicator
Adding to the Chart
Add the indicator to your TradingView chart by searching for "Overheat Oscillator with Divergence."
Configure the settings according to your trading strategy.
Signal Interpretation
Overheated: Values above the Overheat Threshold (default: 70) in the sentiment table may indicate a potential uptrend peak.
Cooled: Values below the Oversold Threshold (default: 30) in the sentiment table may suggest a potential downtrend bottom.
Divergences:
Bullish: Look for "Bull" labels on the chart, indicating potential upward reversals (calculated with a Lookback Right delay).
Bearish: Look for "Bear" labels, indicating potential downward reversals (calculated with a Lookback Right delay).
Customization
Experiment with settings such as period length, volume multiplier, or gradient thresholds to tailor the indicator to your trading style (e.g., scalping, medium-term trading).
Usage Examples
Scalping: Set a shorter period (e.g., Period Length = 10, SMA Length = 3) and monitor rapid sentiment changes and divergences on lower timeframes (e.g., 5-minute charts).
Medium-Term Trading: Use default settings or increase Period Length (e.g., 30) and SMA Length (e.g., 7) for more stable signals on hourly or daily charts.
Reversal Detection: Enable divergence detection and observe "Bull" or "Bear" labels in conjunction with overheat/cooled levels in the sentiment table.
Notes
The indicator performs best when used in conjunction with other technical analysis tools, such as support/resistance lines, moving averages, or Fibonacci levels.
Divergences may serve as early signals but do not always guarantee immediate trend reversals—confirmation with other indicators is recommended.
Test different settings on historical data to find the optimal configuration for your chosen market and timeframe.
Quantum Harmonic Oscillator Overlay🧪 Quantum Harmonic Oscillator Overlay
A visual model of price behavior using quantum harmonic oscillation principles
📜 Indicator Overview
The Quantum Harmonic Oscillator Overlay applies concepts from both classical physics (harmonic motion) and quantum mechanics (energy states) to model and visualize how price orbits around a central trend line. It overlays a Linear Regression line (representing the “mean position” or ground state of price) and calculates surrounding energy levels (σ-zones) akin to quantum shells that price can "jump" between.
This indicator is particularly useful for visualizing mean reversion, volatility compression/expansion, and momentum-driven price breakthroughs.
🧠 Core Concepts
Linear Regression Line (LSR): This is the calculated center of gravity or equilibrium path of price over a user-defined period. Think of it like the lowest energy state or central axis around which price vibrates.
Standard Deviation Zones (σ-levels):
1σ: The majority of normal price activity; within this range, price tends to fluctuate if in balance.
2σ: Indicates volatility or possible breakout pressure.
3σ: Represents extreme movement — a phase shift in energy, potentially leading to reversal or continuation with higher momentum.
Quantum Analogy: Just like in a quantum harmonic oscillator, particles (here, prices) move probabilistically between discrete energy states. The further the price moves from the center, the more "energy" (momentum, volume, volatility) is implied.
⚙️ Input Parameters
Setting Description
Linear Regression Length The number of bars used to calculate the regression trend (default 100). Affects the central path and responsiveness.
σ Multipliers (1σ, 2σ, 3σ) Determine how far each band is from the regression line. Adjusting these can highlight different price behaviors.
Show Energy Level Zones Toggle visibility of the colored bands around the regression line.
Show LSR Center Line Toggles visibility of the white Linear Regression line itself.
🎨 Visual Components
Color Zone Interpretation
✅ Green ±1σ Normal oscillation / mean reversion area. Ideal for range-bound strategies.
🟧 Orange ±2σ Warning zone; price may be gaining momentum or volatility.
🔴 Red ±3σ High-momentum state or anomaly. These regions may imply trend exhaustion, reversals, or breakouts.
White Line: The LSR — the average trajectory of the price movement.
Pink Dots: Appear when price exceeds Zone 3 (outside ±3σ) — a signal of extreme behavior or a possible regime shift.
📈 How to Use This Indicator
1. Detect Overextensions
When price touches or breaches the 3σ zone, it is likely overextended. This can be used to anticipate potential snapbacks or strong breakout trends.
2. Identify Mean Reversion Trades
If price exits the 2σ or 3σ zones and returns toward the center line, this signals a likely mean reversion setup.
3. Volatility Compression or Expansion
Flat zones between σ levels suggest calm markets; widening bands suggest expanding volatility.
4. Use with Confirmation Tools
Combine with momentum oscillators (MACD, RSI) or volume-based signals to confirm reversals or continuation outside Zone 3.
🔮 Philosophical Note
This indicator embodies the metaphor that the market behaves like a quantum oscillator — price particles exist in a probabilistic field and jump between discrete zones of volatility and energy. Tracking these transitions allows the trader to see price behavior as rhythmic, wave-like, and multidimensional rather than purely linear.
Stochastic with Z-Score📊 Stochastic with Z-Score
This custom indicator enhances the classic Stochastic Oscillator by applying Z-Score normalization to both %K and %D lines, helping traders identify statistically significant overbought and oversold conditions based on historical behavior.
🔍 Key Features:
Z-Score Normalization of %K and %D:
Detects deviations from the mean using standard deviation, offering a more dynamic and statistically grounded way to interpret momentum.
Signal Confirmation Filters:
✅ Trend Filter using 200 EMA: Only trade in the direction of the prevailing trend.
✅ Volume Filter: Confirms signals only when volume exceeds the moving average, reducing noise.
Buy & Sell Signals:
📈 Buy: Triggered when the Z-score of %K crosses above a negative threshold, %D is still below that threshold, and the candle is bullish.
📉 Sell: Triggered when the Z-score of %K crosses below a positive threshold, %D is still above that threshold, and the candle is bearish.
Signals are further filtered by trend and volume if enabled.
Customizable Thresholds & Settings:
Control Z-score length, thresholds, Stochastic lengths, and filter settings.
Visual Enhancements:
Colored histogram based on Z-score levels.
Shaded background in overbought/oversold zones.
Clear “Buy” and “Sell” labels plotted directly on the chart.
Alerts Included:
Set alerts on confirmed buy and sell signals for real-time notifications.
📘 How to Use:
Use this indicator on any timeframe or asset.
Enable or disable trend and volume filters depending on your strategy.
Use signals in confluence with price action or other indicators.
Adjust Z-score thresholds for more or fewer signals based on your risk profile.
⚠️ Note: This is an indicator, not a strategy. Always test signals on historical data and in simulation before live trading.
Greeny's Oscilator📊 Multi-Timeframe Oscillator
This custom oscillator tracks the position and alignment of trends across three different timeframes to support both strategic context and precise entries:
🔹 Blue Line – Fast Wave (Entry)
Represents the lowest timeframe, designed for entry timing. It reacts quickly to price action and highlights short-term momentum shifts.
On ultra-low timeframes like 10s, price constantly oscillates — every buy triggers a sell and vice versa. This makes the small wave oscillator ideal for precise entries.
• ✅ In balanced markets, it’s useful for both long and short trades.
• ⚠️ In trending markets, it’s best used to enter pullbacks in the direction of the higher trend.
🔸 Mid Line – Middle Trend Context
Represents the medium timeframe. It helps you identify whether the market is bullish, bearish, or neutral, useful as a confirmation layer before pulling the trigger.
🔴 Thick Line – Higher Timeframe Bias
Tracks the higher timeframe trend structure and serves as your directional anchor.
It helps you:
• Avoid trading against strong momentum (Above 50/ Below -50 -> wait for trend reversal on Mid/Thick line)
• Stay aligned with macro trend conditions
⚙️ Customization
Each line can be configured to use your preferred timeframe (e.g., 5m / 15m / 1h) and smoothing letting you adapt the oscillator to any strategy or asset.
Renko Brick Zone NeelBrick indicator is a brick zone indicator, plotted not in histogram style but instead with a moving average plotted along with it.
40 period is count of same color brick difference between green and red is always 40
40-period brick indicator line and 40-period moving average line of the brick indicator.
Pivot Squeeze IndicatorThe Pivot Squeeze Indicator is an oscillator that identifies when markets are "squeezed" between recent pivot highs and lows, then signals when they're ready to make their next big move.
How it Works
The indicator calculates the percentage distance between the current price and the most recent pivot high vs. pivot low. When this distance gets compressed (small), the market is "squeezed" and building energy. When it expands rapidly, you get your breakout signal.
The indicator adapts to current market volatility using four different modes:
- ATR-Based
- Bollinger Bands
- Keltner Channels
- Fixed %
What to Look For
🟠 Orange Background = Squeeze Zone
Market is compressed between recent pivots
Low volatility, building pressure
🟢 Green Breakout = Bullish Signal
Price breaking out above recent highs
Momentum shifting upward
Time to look for long opportunities
🔴 Red Breakout = Bearish Signal
Price breaking down below recent lows
Momentum shifting downward
Time to look for short opportunities
Using Histogram Colors:
Green bars = Bullish territory (closer to recent highs)
Red bars = Bearish territory (closer to recent lows)
Orange bars = Squeeze conditions (compressed between pivots)
Using MA Line:
When Histogram bars cross below or above MA Line in opposite direction, it might be good time to exit.
Default Settings: ATR-based thresholds with 14-period lookback - works great out of the box, but feel free to experiment with the different threshold modes to find what works best for your trading style! Recommended to use with other indicators to confirm signals
rEMAExpColor Moving Average Indicator This indicator can intuitively show the current state of market power
Suitable for price action traders
52SIGNAL RECIPE AMA Momentum Vector═══52SIGNAL RECIPE AMA Momentum Vector═══
◆ Overview
52SIGNAL RECIPE AMA Momentum Vector is an advanced technical indicator based on Adaptive Moving Average (AMA), integrating volume filtering and gradient zone visualization to provide comprehensive analysis of price trends and momentum.
It automatically adjusts to market conditions by calculating efficiency ratios, reducing noise while clearly capturing significant trends. The volume confirmation system helps traders identify high-probability entry and exit points with precision.
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◆ Key Features
• Adaptive Moving Average: Smart moving average that automatically adjusts based on market conditions
• Volume Filter Integration: Double-confirmation of important price movements through volume analysis
• Momentum Gradient Zones: Intuitive visualization of trend strength through color gradation
• Signal Confirmation System: Generation of high-reliability buy/sell signals by combining multiple factors
• Trend Direction Identification: Clear color distinction between bullish and bearish market conditions
• Automatic Adaptation: Intelligent design that self-adjusts to various market situations
─────────────────────────────────────
◆ Technical Foundation
■ AMA Calculation Principles
• Efficiency Ratio (ER): Measures how efficiently price moves in one direction
• Dynamic Smoothing Coefficient: Automatically adjusts faster or slower based on market conditions
• Adaptive Algorithm: Less sensitive during sideways markets, more responsive during trending markets
• Noise Reduction Function: Filters out meaningless price movements while capturing important signals
■ Momentum Vector Implementation
• Trend-Price Distance Calculation: Measures trend strength by the distance between AMA and current price
• Color Gradation: Visual system where color intensity changes proportionally to trend strength
• ATR-Based Adjustment: Automatically adjusts gradient zone width according to market volatility
• Directional Color Distinction: Intuitive display with blue/cyan for uptrends and red for downtrends
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◆ Practical Applications
■ Price Trend Interpretation
• Trend Direction Assessment:
▶ Price above AMA with blue gradation indicates ongoing bullish momentum
▶ Price below AMA with red gradation indicates ongoing bearish momentum
• Momentum Strength Verification:
▶ Deeper gradient colors mean stronger momentum and healthier trends
▶ Lighter gradient colors suggest weakening momentum and potential reversal
■ Trading Strategy Utilization
• Trend Following Strategy:
▶ Buy signal when price crosses above AMA with increased volume
▶ Sell signal when price crosses below AMA with increased volume
• Momentum Confirmation Trading:
▶ Deep gradation increases confidence in trend continuation for entry decisions
▶ Multiple consecutive candles staying on one side of AMA increases trend reliability
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◆ Advanced Configuration Options
■ Input Parameter Guide
• Fast Period (Default: 2)
▶ 1-2: Responds very quickly to price changes. Suitable for short-term trading.
▶ 3-5: Moderate response that reduces frequent signals.
▶ 6-10: Slower response but captures only more definitive trends.
• Slow Period (Default: 30)
▶ 20-25: AMA moves faster. Good for shorter timeframe trading.
▶ 26-35: Balanced speed suitable for most market conditions.
▶ 36-50: AMA moves slowly, smoothly following long-term trends.
• Efficiency Ratio Period (Default: 10)
▶ 5-8: Focuses more on recent price movements. Responds quickly to changes.
▶ 9-12: Balanced period suitable for most situations.
▶ 13-20: Considers longer-term price movements, ignoring temporary fluctuations.
• Volume Average Period (Default: 20)
▶ 10-15: Compares with the average volume of the last 10-15 days. More sensitive to changes.
▶ 16-25: Compares with the average volume of approximately the last month. Balanced setting.
▶ 26-50: Compares with long-term average volume, capturing only truly significant volume changes.
• Volume Threshold Multiplier (Default: 1.2)
▶ 1.0-1.1: Recognizes volume just 10% above average as valid.
▶ 1.2-1.5: Requires volume 20-50% higher than average (e.g., 1.2 means 120% of average).
▶ 1.6-2.0: Recognizes only very high volume at least 1.6 times (160%) above average.
■ Timeframe-Specific Recommended Settings
• Short Timeframes (5min-1hr):
Fast Period 2, Slow Period 20, Efficiency Ratio Period 8
→ Responds quickly to price changes, suitable for day trading.
• Medium Timeframes (4hr-daily):
Fast Period 2, Slow Period 30, Efficiency Ratio Period 10
→ Most balanced setting for general swing trading.
• Long Timeframes (daily-weekly):
Fast Period 2, Slow Period 40, Efficiency Ratio Period 14
→ Optimized for smoothly tracking longer trends.
■ Market-Specific Recommended Settings
• Stock Market:
Volume Threshold 1.2, Volume Average Period 20
→ Signal is valid when volume is 20% above average.
• Forex Market:
Volume Threshold 1.5, Efficiency Ratio Period 12
→ Forex requires higher volume to be meaningful and slightly longer efficiency measurement.
• Cryptocurrency Market:
Volume Threshold 1.3, Fast Period 2, Slow Period 25
→ Settings optimized for highly volatile cryptocurrencies.
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◆ Synergy with Other Indicators
• Moving Averages: Trend reliability increases when AMA and key moving averages point in the same direction
• RSI/Stochastic: Powerful reversal signals when AMA crossovers occur in overbought/oversold zones
• MACD: Signal probability greatly increases when MACD histogram direction changes coincide with AMA crossovers
• Bollinger Bands: Trend strength can be determined by AMA's position within Bollinger Bands
• Support/Resistance Levels: Success probability dramatically increases when AMA breakouts occur at key price levels
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◆ Conclusion
AMA Momentum Vector provides accurate price trend analysis by combining the advanced features of adaptive moving averages with momentum visualization technology.
It perfectly adapts to constantly changing market environments through its self-adjusting algorithm and generates highly reliable trading signals through its volume confirmation system.
Users can optimize the indicator for their trading style and market conditions with simple parameter adjustments, enabling effective trading decisions that comprehensively consider price direction, momentum strength, and volume confirmation.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══52SIGNAL RECIPE AMA Momentum Vector═══
◆ 개요
52SIGNAL RECIPE AMA Momentum Vector는 적응형 이동평균(AMA)을 기반으로 한 고급 기술적 지표로, 볼륨 필터링과 그라데이션 존 시각화를 통합하여 가격 추세와 모멘텀을 종합적으로 분석합니다.
시장 효율성 비율을 자동으로 계산하여 시장 상황에 맞게 스스로 조정되며, 노이즈는 줄이고 중요한 추세는 선명하게 포착합니다. 또한 볼륨 확인 시스템을 통해 높은 확률의 매매 시점을 정확하게 식별할 수 있도록 도와줍니다.
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◆ 주요 특징
• 적응형 이동평균: 시장 상황에 따라 자동으로 조정되는 스마트한 이동평균선
• 볼륨 필터 통합: 중요한 가격 움직임을 볼륨으로 한번 더 확인
• 모멘텀 그라데이션 존: 색상 그라데이션으로 추세의 강도를 직관적으로 시각화
• 신호 확인 시스템: 여러 요소를 종합하여 신뢰도 높은 매수/매도 신호 생성
• 추세 방향 식별: 상승세와 하락세를 색상으로 명확하게 구분
• 자동 적응 기능: 다양한 시장 상황에 알아서 맞춰지는 지능형 설계
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◆ 기술적 기반
■ AMA 계산 원리
• 효율성 비율 (ER): 가격이 얼마나 효율적으로 한 방향으로 움직이는지 측정
• 동적 평활화 계수: 시장 상황에 따라 빠르거나 느리게 자동 조절되는 계수
• 적응형 알고리즘: 횡보장에서는 둔감하게, 추세장에서는 민감하게 반응
• 노이즈 감소 기능: 무의미한 가격 움직임은 걸러내고 중요한 신호만 포착
■ 모멘텀 벡터 구현
• 추세-가격 거리 계산: AMA와 현재 가격 사이의 거리로 추세 강도 측정
• 색상 그라데이션: 추세 강도에 비례하여 색상 농도가 변하는 시각화 시스템
• ATR 기반 조정: 시장 변동성에 맞춰 그라데이션 영역 너비 자동 조절
• 방향성 색상 구분: 상승세는 파란색/청록색, 하락세는 빨간색으로 직관적 표시
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◆ 실용적 응용
■ 가격 추세 해석
• 추세 방향 판단:
▶ 가격이 AMA 위에 있고 파란색 그라데이션이 보이면 상승 모멘텀 진행 중
▶ 가격이 AMA 아래에 있고 빨간색 그라데이션이 보이면 하락 모멘텀 진행 중
• 모멘텀 강도 확인:
▶ 그라데이션 색상이 진할수록 모멘텀이 강하고 추세가 건강함을 의미
▶ 그라데이션 색상이 옅을수록 모멘텀이 약해지고 있으며 반전 가능성 시사
■ 트레이딩 전략 활용
• 추세 추종 전략:
▶ 가격이 AMA를 상향 돌파하고 볼륨이 증가하면 매수 신호
▶ 가격이 AMA를 하향 돌파하고 볼륨이 증가하면 매도 신호
• 모멘텀 확인 트레이딩:
▶ 진한 그라데이션은 추세 지속 가능성이 높음을 의미하므로 진입 확신 강화
▶ 여러 캔들이 연속해서 AMA 한쪽에 머물면 추세의 신뢰도가 높아짐
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◆ 고급 설정 옵션
■ 인풋 파라미터 가이드
• 빠른 기간 (Fast Period) (기본값: 2)
▶ 1-2: 가격 변화에 매우 빠르게 반응합니다. 단기 거래에 적합합니다.
▶ 3-5: 적당히 반응하여 잦은 신호를 줄여줍니다.
▶ 6-10: 반응이 느리지만 더 확실한 추세만 포착합니다.
• 느린 기간 (Slow Period) (기본값: 30)
▶ 20-25: AMA가 더 빠르게 움직입니다. 짧은 시간 거래에 좋습니다.
▶ 26-35: 균형 잡힌 속도로 대부분의 시장 상황에 적합합니다.
▶ 36-50: AMA가 천천히 움직여 장기 추세를 부드럽게 따라갑니다.
• 효율성 비율 기간 (Efficiency Ratio Period) (기본값: 10)
▶ 5-8: 최근 가격 움직임에 더 집중합니다. 변화에 빠르게 반응합니다.
▶ 9-12: 균형 잡힌 기간으로 대부분의 상황에 적합합니다.
▶ 13-20: 더 긴 기간의 가격 움직임을 고려하여 일시적인 변동을 무시합니다.
• 볼륨 평균 기간 (Volume Average Period) (기본값: 20)
▶ 10-15: 최근 10-15일의 평균 볼륨과 비교합니다. 변화에 민감합니다.
▶ 16-25: 지난 약 한 달간의 평균 볼륨과 비교합니다. 균형 잡힌 설정입니다.
▶ 26-50: 장기 평균 볼륨과 비교하여 정말 큰 볼륨 변화만 포착합니다.
• 볼륨 임계값 승수 (Volume Threshold Multiplier) (기본값: 1.2)
▶ 1.0-1.1: 평균보다 약 10% 정도만 높아도 유효한 볼륨으로 인정합니다.
▶ 1.2-1.5: 평균보다 20~50% 높은 볼륨을 요구합니다(예: 1.2는 평균의 120%).
▶ 1.6-2.0: 평균의 최소 1.6배(160%) 이상 되는 매우 높은 볼륨만 인정합니다.
■ 타임프레임별 추천 설정
• 짧은 시간 차트 (5분-1시간):
빠른 기간 2, 느린 기간 20, 효율성 비율 기간 8
→ 가격 변화에 빠르게 반응하며 단타에 적합합니다.
• 중기 차트 (4시간-일봉):
빠른 기간 2, 느린 기간 30, 효율성 비율 기간 10
→ 일반적인 스윙 트레이딩에 가장 균형 잡힌 설정입니다.
• 장기 차트 (일봉-주봉):
빠른 기간 2, 느린 기간 40, 효율성 비율 기간 14
→ 더 긴 추세를 매끄럽게 추적하는 데 최적화되었습니다.
■ 시장별 추천 설정
• 주식 시장:
볼륨 임계값 1.2, 볼륨 평균 기간 20
→ 평균보다 20% 많은 볼륨이 있을 때 신호가 유효합니다.
• 외환 시장:
볼륨 임계값 1.5, 효율성 비율 기간 12
→ 외환은 볼륨이 더 높아야 의미가 있으며, 약간 더 긴 효율성 측정이 필요합니다.
• 암호화폐 시장:
볼륨 임계값 1.3, 빠른 기간 2, 느린 기간 25
→ 변동성이 큰 암호화폐에 최적화된 설정입니다.
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◆ 다른 지표와의 시너지
• 이동평균선: AMA와 주요 이동평균선이 같은 방향을 가리킬 때 추세 신뢰도 상승
• RSI/스토캐스틱: 과매수/과매도 구간에서 AMA 교차 발생 시 강력한 반전 신호
• MACD: MACD 히스토그램 방향 변화와 AMA 교차가 일치하면 신호 확률 대폭 증가
• 볼린저 밴드: AMA가 볼린저 밴드 내에서 어떤 위치에 있는지로 추세 강도 판단
• 지지/저항 레벨: 중요 가격대에서 AMA 돌파 시 성공 확률이 크게 증가
─────────────────────────────────────
◆ 결론
AMA Momentum Vector는 적응형 이동평균의 고급 기능과 모멘텀 시각화 기술을 결합하여 정확한 가격 추세 분석을 제공합니다.
자체 조정 알고리즘으로 시시각각 변하는 시장 환경에 완벽하게 적응하며, 볼륨 확인 시스템을 통해 신뢰도 높은 매매 신호를 생성합니다.
사용자는 간단한 파라미터 조정으로 자신의 거래 스타일과 시장 상황에 맞게 지표를 최적화할 수 있어, 가격 방향, 모멘텀 강도, 볼륨 확인을 종합적으로 고려한 효과적인 거래 결정을 내릴 수 있습니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
MACD Liquidity Tracker Strategy [Quant Trading]MACD Liquidity Tracker Strategy
Overview
The MACD Liquidity Tracker Strategy is an enhanced trading system that transforms the traditional MACD indicator into a comprehensive momentum-based strategy with advanced visual signals and risk management. This strategy builds upon the original MACD Liquidity Tracker System indicator by TheNeWSystemLqtyTrckr , converting it into a fully automated trading strategy with improved parameters and additional features.
What Makes This Strategy Original
This strategy significantly enhances the basic MACD approach by introducing:
Four distinct system types for different market conditions and trading styles
Advanced color-coded histogram visualization with four dynamic colors showing momentum strength and direction
Integrated trend filtering using 9 different moving average types
Comprehensive risk management with customizable stop-loss and take-profit levels
Multiple alert systems for entry signals, exits, and trend conditions
Flexible signal display options with customizable entry markers
How It Works
Core MACD Calculation
The strategy uses a fully customizable MACD configuration with traditional default parameters:
Fast MA : 12 periods (customizable, minimum 1, no maximum limit)
Slow MA : 26 periods (customizable, minimum 1, no maximum limit)
Signal Line : 9 periods (customizable, now properly implemented and used)
Cryptocurrency Optimization : The strategy's flexible parameter system allows for significant optimization across different crypto assets. Traditional MACD settings (12/26/9) often generate excessive noise and false signals in volatile crypto markets. By using slower, more smoothed parameters, traders can capture meaningful momentum shifts while filtering out market noise.
Example - DOGE Optimization (45/80/290 settings) :
• Performance : Optimized parameters yielding exceptional backtesting results with 29,800% PnL
• Why it works : DOGE's high volatility and social sentiment-driven price action benefits from heavily smoothed indicators
• Timeframes : Particularly effective on 30-minute and 4-hour charts for swing trading
• Logic : The very slow parameters filter out noise and capture only the most significant trend changes
Other Optimizable Cryptocurrencies : This parameter flexibility makes the strategy highly effective for major altcoins including SUI, SEI, LINK, Solana (SOL) , and many others. Each crypto asset can benefit from custom parameter tuning based on its unique volatility profile and trading characteristics.
Four Trading System Types
1. Normal System (Default)
Long signals : When MACD line is above the signal line
Short signals : When MACD line is below the signal line
Best for : Swing trading and capturing longer-term trends in stable markets
Logic : Traditional MACD crossover approach using the signal line
2. Fast System
Long signals : Bright Blue OR Dark Magenta (transparent) histogram colors
Short signals : Dark Blue (transparent) OR Bright Magenta histogram colors
Best for : Scalping and high-volatility markets (crypto, forex)
Logic : Leverages early momentum shifts based on histogram color changes
3. Safe System
Long signals : Only Bright Blue histogram color (strongest bullish momentum)
Short signals : All other colors (Dark Blue, Bright Magenta, Dark Magenta)
Best for : Risk-averse traders and choppy markets
Logic : Prioritizes only the strongest bullish signals while treating everything else as bearish
4. Crossover System
Long signals : MACD line crosses above signal line
Short signals : MACD line crosses below signal line
Best for : Precise timing entries with traditional MACD methodology
Logic : Pure crossover signals for more precise entry timing
Color-Coded Histogram Logic
The strategy uses four distinct colors to visualize momentum:
🔹 Bright Blue : MACD > 0 and rising (strong bullish momentum)
🔹 Dark Blue (Transparent) : MACD > 0 but falling (weakening bullish momentum)
🔹 Bright Magenta : MACD < 0 and falling (strong bearish momentum)
🔹 Dark Magenta (Transparent) : MACD < 0 but rising (weakening bearish momentum)
Trend Filter Integration
The strategy includes an advanced trend filter using 9 different moving average types:
SMA (Simple Moving Average)
EMA (Exponential Moving Average) - Default
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
RMA (Running Moving Average)
LSMA (Least Squares Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
VIDYA (Variable Index Dynamic Average)
Default Settings : 50-period EMA for trend identification
Visual Signal System
Entry Markers : Blue triangles (▲) below candles for long entries, Magenta triangles (▼) above candles for short entries
Candle Coloring : Price candles change color based on active signals (Blue = Long, Magenta = Short)
Signal Text : Optional "Long" or "Short" text inside entry triangles (toggleable)
Trend MA : Gray line plotted on main chart for trend reference
Parameter Optimization Examples
DOGE Trading Success (Optimized Parameters) :
Using 45/80/290 MACD settings with 50-period EMA trend filter has shown exceptional results on DOGE:
Performance : Backtesting results showing 29,800% PnL demonstrate the power of proper parameter optimization
Reasoning : DOGE's meme-driven volatility and social sentiment spikes create significant noise with traditional MACD settings
Solution : Very slow parameters (45/80/290) filter out social media-driven price spikes while capturing only major momentum shifts
Optimal Timeframes : 30-minute and 4-hour charts for swing trading opportunities
Result : Exceptionally clean signals with minimal false entries during DOGE's characteristic pump-and-dump cycles
Multi-Crypto Adaptability :
The same optimization principles apply to other major cryptocurrencies:
SUI : Benefits from smoothed parameters due to newer coin volatility patterns
SEI : Requires adjustment for its unique DeFi-related price movements
LINK : Oracle news events create price spikes that benefit from noise filtering
Solana (SOL) : Network congestion events and ecosystem developments need smoothed detection
General Rule : Higher volatility coins typically benefit from very slow MACD parameters (40-50 / 70-90 / 250-300 ranges)
Key Input Parameters
System Type : Choose between Fast, Normal, Safe, or Crossover (Default: Normal)
MACD Fast MA : 12 periods default (no maximum limit, consider 40-50 for crypto optimization)
MACD Slow MA : 26 periods default (no maximum limit, consider 70-90 for crypto optimization)
MACD Signal MA : 9 periods default (now properly utilized, consider 250-300 for crypto optimization)
Trend MA Type : EMA default (9 options available)
Trend MA Length : 50 periods default (no maximum limit)
Signal Display : Both, Long Only, Short Only, or None
Show Signal Text : True/False toggle for entry marker text
Trading Applications
Recommended Use Cases
Momentum Trading : Capitalize on strong directional moves using the color-coded system
Trend Following : Combine MACD signals with trend MA filter for higher probability trades
Scalping : Use "Fast" system type for quick entries in volatile markets
Swing Trading : Use "Normal" or "Safe" system types for longer-term positions
Cryptocurrency Trading : Optimize parameters for individual crypto assets (e.g., 45/80/290 for DOGE, custom settings for SUI, SEI, LINK, SOL)
Market Suitability
Volatile Markets : Forex, crypto, indices (recommend "Fast" system or smoothed parameters)
Stable Markets : Stocks, ETFs (recommend "Normal" or "Safe" system)
All Timeframes : Effective from 1-minute charts to daily charts
Crypto Optimization : Each major cryptocurrency (DOGE, SUI, SEI, LINK, SOL, etc.) can benefit from custom parameter tuning. Consider slower MACD parameters for noise reduction in volatile crypto markets
Alert System
The strategy provides comprehensive alerts for:
Entry Signals : Long and short entry triangle appearances
Exit Signals : Position exit notifications
Color Changes : Individual histogram color alerts
Trend Conditions : Price above/below trend MA alerts
Strategy Parameters
Default Settings
Initial Capital : $1,000
Position Size : 100% of equity
Commission : 0.1%
Slippage : 3 points
Date Range : January 1, 2018 to December 31, 2069
Risk Management (Optional)
Stop Loss : Disabled by default (customizable percentage-based)
Take Profit : Disabled by default (customizable percentage-based)
Short Trades : Disabled by default (can be enabled)
Important Notes and Limitations
Backtesting Considerations
Uses realistic commission (0.1%) and slippage (3 points)
Default position sizing uses 100% equity - adjust based on risk tolerance
Stop-loss and take-profit are disabled by default to show raw strategy performance
Strategy does not use lookahead bias or future data
Risk Warnings
Past performance does not guarantee future results
MACD-based strategies may produce false signals in ranging markets
Consider combining with additional confluences like support/resistance levels
Test thoroughly on demo accounts before live trading
Adjust position sizing based on your risk management requirements
Technical Limitations
Strategy does not work on non-standard chart types (Heikin Ashi, Renko, etc.)
Signals are based on close prices and may not reflect intraday price action
Multiple rapid signals in volatile conditions may result in overtrading
Credits and Attribution
This strategy is based on the original "MACD Liquidity Tracker System" indicator created by TheNeWSystemLqtyTrckr . This strategy version includes significant enhancements:
Complete strategy implementation with entry/exit logic
Addition of the "Crossover" system type
Proper implementation and utilization of the MACD signal line
Enhanced risk management features
Improved parameter flexibility with no artificial maximum limits
Additional alert systems for comprehensive trade management
The original indicator's core color logic and visual system have been preserved while expanding functionality for automated trading applications.
Universal Valuation | Lyro RSUniversal Valuation
⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Overview
The Universal Valuation indicator helps identify whether the market is undervalued/cheap or overvalued/expensive. And another mode this indicator offers is This cutting-edge tool works flawlessly ACROSS ALL TIMEFRAMES & TICKERS/CHARTS.
By combining regular TradingView indicators & some of our valuation indicators basic/simple with advanced statistical functions, this indicator offers a powerful, universal valuation tool.
Key Features
INPUTS: The Universal Valuation indicator offers flexibility through its customizable input sections. The "Indicator Settings" let you adjust lengths for the raw indicators and statistical functions. The "Signals" section defines thresholds for background color changes, helping you visually spot key market moments. The "Colors" section allows you to pick from pre-defined schemes or personalize colors for better clarity. Lastly, the "Tables" section gives you full control over the UV table’s size and positioning, including options to overlay it on the chart or place it in the allocated space.
A DEEPER INSIGHT: This indicator is built around three distinct categories: "UVM Andromeda," "UVM Sentinel," and "UVM Nexus." Each category has three different drivers. The statistical function powering this indicator is the Z-score. The Z-score is an incredibly powerful tool that helps determine if the market is overvalued/expensive or undervalued/cheap, offering critical insights for traders."
Plotting: The plotted value represents the average of all the drivers. In other words, it is the combined average of all 9 Z-scored indicators, providing a balanced and comprehensive market valuation.
What is Z-score? & Why does this system use it?
Z-score is an advanced statistical function used to measure how far a value deviates from the average in a data set. The formula for Z-score is: (x - h) / o, where x is the observed value, h is the average (mean) of the data set, and o is the standard deviation.
This system uses the Z-score because it helps determine whether the market is overvalued or undervalued based on historical data and how we apply the calculation. By measuring how far a value deviates from the average, the Z-score provides a clearer and more objective valuation of market conditions. In our case, a Z-score of -3 indicates an undervalued market, while a Z-score of 3 signals an overvalued market.
UVM Andromeda:
UVM stands for Universal Valuation Model, which is the core of this indicator. Andromeda, one of the most stunning galaxies in the universe, inspired by its name. We chose this name because a powerful indicator should not only be effective but also visually appealing.
You might be wondering what drives UVM Andromeda. The three key drivers are Price, RSI, and ROC. These indicators are pre-defined, while the "Indicator Settings" allow you to adjust the length of the Z-score calculation, refining how the model analyzes market conditions.
UVM Sentinel:
Sentinel, refers to a guard or watchman, someone or something that keeps watch and provides protection. In our case this name refers to a model that actively observes market conditions, acting as a vigilant tool that signals important shifts in valuation.
Wondering what drives UVM Sentinel? The three key drivers are BB%, CCI, and Crosby. While these indicators are simple on their own, applying our Z-score function elevates them to a whole new level, enhancing their ability to detect market conditions with greater accuracy.
UVM Nexus:
We chose the name Nexus simply because it sounds cool—there’s no deeper meaning behind it for us. However, the word itself does have a meaning; it refers to a connection or link between multiple things.
The three key drivers for UVM Nexus are the Sharpe, Sortino, and Omega ratios. These are all asset performance metrics, but by applying the Z-score, we transform them into powerful valuation indicators/drivers, giving you a deeper insight into market conditions.
Why do we use 9 different indicators instead of 1?
That's a great question, and the answer is quite simple. Think of it like this: if you have one super soldier, and they miss a shot, it’s game over. But if you have many soldiers, even if one misses, the others can step in and take the shot. The strength of using multiple indicators lies in their collective power – if one misses, the others still provide valuable insights, making the overall system more reliable.
Final Thoughts:
In our Universal Valuation indicator, you have the flexibility to customize it however you like using our inputs. The system is divided into three distinct categories, with each category containing three indicators. The value plotted on the chart is the average of all nine indicators. We apply the Z-score, an advanced statistical function, to each of these nine indicators. The final plotted average is the average of all the Z-scores, giving you a comprehensive and refined market valuation. This indicator can work on any timeframe & chart ticker.
Apex Edge - RSI Trend LinesThe Apex Edge - RSI Trend Lines indicator is a precision tool that automatically draws real-time trendlines on the RSI oscillator using confirmed pivot highs and lows. These dynamic trendlines track RSI structure in motion, helping you anticipate breakout zones, reversals, and hidden divergences.
Every time a new pivot forms, the indicator automatically re-draws the RSI trendline between the two most recent pivots — giving you an always-current view of momentum structure. You’ll instantly see when RSI begins compressing or expanding, long before price reacts.
Key Features: • Dynamic RSI trendlines drawn from the last 2 pivots
• Auto re-draws in real-time as new pivots form
• Optional "Full Extend" or "Pivot Only" modes
• Slope color-coded: green = support, red = resistance
• Built-in dotted RSI levels (30/70 default)
• Alert conditions for RSI trendline breakout signals
• Ideal for spotting divergence, compression, and early SMC confluence
This is not your average RSI — it’s a fully reactive momentum edge overlay designed to give you clarity, structure, and timing from within the oscillator itself. Perfect for traders using Smart Money Concepts, divergence setups, or algorithmic trend tracking.
⚔️ Built for precision. Built for edge. Built for Apex.
52SIGNAL RECIPE Market Structure Reversal Signals═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ Overview
52SIGNAL RECIPE Market Structure Reversal Signals is a technical indicator designed to detect structural changes in price charts and identify potential trend reversals. By tracking highs and lows over a specified period, this indicator provides clear visual signals when significant price breakouts occur, helping traders capture directional changes in the market early.
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◆ Key Features
• Structural Reversal Detection: Provides potential trend change signals when price breaks through recent N-day highs/lows
• Duplicate Signal Prevention: Filters out consecutive signals in the same direction
• Intuitive Visualization: Clearly distinguishes bullish/bearish reversal signals by color and position on the chart
• Confirmed Bar Based: Generates signals only after bars are completely closed, enhancing reliability
• Customizable Settings: Adjustable tracking period to optimize for various market environments and timeframes
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◆ Technical Foundation
■ Market Structure Analysis Principle
• High/Low Tracking: Identifies previous highs (LH) and lows (HL) over the specified period
• Structural Breakout: Interprets as structural change when closing price breaks above previous high or below previous low
• Confirmed Bar Verification: Minimizes false signals by generating signals only after the current bar has completely closed
■ Signal Filtering Mechanism
• Signal State Tracking: Prevents duplicate signals by tracking the direction of the last generated signal
• Directional Change Focus: Suppresses signals in the same direction until an opposite signal occurs
• Noise Reduction: Focuses only on important level breakouts, eliminating unnecessary signals
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◆ Practical Applications
■ Trend Reversal Point Identification
• Bullish Trend Starting Point:
▶ When bullish reversal signal occurs after a downtrend
▶ When upward momentum is confirmed by breaking previous high
• Bearish Trend Starting Point:
▶ When bearish reversal signal occurs after an uptrend
▶ When downward momentum is confirmed by breaking below previous low
• Range Breakout Detection:
▶ Potential trend formation signals when breaking upper/lower boundaries in a ranging market
■ Trading Strategy Application
• Trend Following Strategy:
▶ Consider buy entry when bullish reversal signal occurs
▶ Consider sell entry when bearish reversal signal occurs
• Reversal Trading:
▶ Signals occurring at support/resistance levels provide high-probability entry points
▶ Reversal signals in overbought/oversold conditions strengthen trend reversal possibility
• Risk Management:
▶ Consider closing or reducing positions when opposite signals occur
▶ Set precise stop-loss points by combining with key technical levels
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◆ Advanced Setting Options
■ Tracking Period (N-day) Adjustment
• Short-term Setting: 10-15 days (sensitive signals, quick reaction, suitable for short-term trading)
• Medium-term Setting: 20-30 days (balanced signals, general trend detection, recommended default)
• Long-term Setting: 40-50 days (strong filtering, detects only major trend reversals, suitable for long-term investment)
■ Timeframe Optimization
• Daily Chart: 20-30 day setting (medium-term trend change detection)
• 4-Hour Chart: 30-40 setting (short-term swing trading signals)
• Hourly Chart: 40-50 setting (intraday trend change detection)
• Intraday Chart: 10-20 setting (scalping and short-term trading)
■ Market Type Adjustment
• High Volatility Markets: Higher N values (30-50) to filter noise
• Trending Markets: Medium N values (20-30) to capture only major reversals
• Ranging Markets: Lower N values (10-20) to capture range-bound movements
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◆ Synergy with Other Indicators
• Moving Averages: Signal strength enhanced when Market Structure Reversal Signals align with key moving average crossovers
• RSI: Market Structure Reversal Signals occurring at overbought/oversold levels increase reversal probability
• Volume Indicators: Market Structure Reversal Signals accompanied by high volume enhance reliability
• Fibonacci Levels: Market Structure Reversal Signals occurring at key Fibonacci levels provide important turning points
• Channel Indicators: Powerful breakout confirmation when price channel upper/lower breakthroughs coincide with Market Structure Reversal Signals
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◆ Conclusion
52SIGNAL RECIPE Market Structure Reversal Signals objectively identifies structural changes in the market and clearly visualizes potential trend reversal points. Its simple yet powerful approach of detecting directional changes through recent N-day high/low breakouts provides flexibility applicable to various market environments and trading styles. The duplicate signal prevention mechanism and confirmed bar-based signal generation greatly enhance signal quality and reliability. When combined with other technical indicators, synergy effects can be maximized, providing traders with a valuable tool to capture market turning points early.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ 개요
52SIGNAL RECIPE Market Structure Reversal Signals는 가격 차트의 구조적 변화를 감지하여 잠재적인 추세 반전을 식별하는 기술적 지표입니다. 이 지표는 최근 N일 동안의 고점과 저점을 추적하여 의미 있는 가격 돌파가 발생할 때 명확한 시각적 신호를 제공함으로써, 트레이더가 시장의 방향성 변화를 조기에 포착할 수 있도록 도와줍니다.
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◆ 주요 특징
• 구조적 반전 탐지: 가격이 최근 N일 고점/저점을 돌파할 때 잠재적 추세 변화 신호 제공
• 중복 신호 방지: 동일한 방향의 신호가 연속으로 반복되지 않도록 필터링
• 직관적인 시각화: 상승/하락 반전 신호를 차트 상에서 색상과 위치로 명확히 구분
• 확정 봉 기반: 봉이 완전히 종료된 후에만 신호 생성하여 신뢰도 향상
• 사용자 정의 설정: 추적 기간을 조정하여 다양한 시장 환경과 타임프레임에 최적화 가능
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◆ 기술적 기반
■ 시장 구조 분석 원리
• 고점/저점 추적: 지정된 기간 동안의 이전 고점(LH)과 저점(HL) 식별
• 구조적 돌파: 종가가 이전 고점을 상향 돌파하거나 이전 저점을 하향 돌파할 때 구조적 변화로 해석
• 확정 봉 검증: 현재 봉이 완전히 종료된 후에만 신호 생성하여 오신호 최소화
■ 신호 필터링 메커니즘
• 신호 상태 저장: 마지막 생성된 신호의 방향을 추적하여 동일 방향 신호 중복 방지
• 방향성 전환 초점: 반대 방향 신호가 발생할 때까지 동일 방향 신호 억제
• 노이즈 감소: 중요 수준 돌파에만 집중하여 불필요한 신호 제거
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◆ 실용적 응용
■ 추세 전환점 식별
• 상승 추세 시작점:
▶ 하락 추세 후 상승 반전 신호 발생 시
▶ 이전 고점 돌파로 상승 모멘텀 확인 시
• 하락 추세 시작점:
▶ 상승 추세 후 하락 반전 신호 발생 시
▶ 이전 저점 이탈로 하락 모멘텀 확인 시
• 범위 돌파 감지:
▶ 횡보 시장에서 상/하 경계 돌파 시 잠재적 추세 형성 신호
■ 트레이딩 전략 적용
• 추세 추종 전략:
▶ 상승 반전 신호 발생 시 매수 진입 고려
▶ 하락 반전 신호 발생 시 매도 진입 고려
• 반전 트레이딩:
▶ 지지/저항 수준에서 반전 신호 발생 시 높은 확률의 진입점 제공
▶ 과매수/과매도 상태에서의 반전 신호는 추세 전환 가능성 강화
• 리스크 관리:
▶ 반대 방향 신호 발생 시 포지션 종료 또는 축소 고려
▶ 주요 기술적 수준과 결합하여 정밀한 손절점 설정 가능
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◆ 고급 설정 옵션
■ 추적 기간(N일) 조정
• 단기 설정: 10-15일 (민감한 신호, 빠른 반응, 단기 트레이딩에 적합)
• 중기 설정: 20-30일 (균형 잡힌 신호, 일반적 추세 감지, 기본 권장)
• 장기 설정: 40-50일 (강한 필터링, 주요 추세 전환만 감지, 장기 투자에 적합)
■ 타임프레임별 최적화
• 일봉 차트: 20-30일 설정 (중기 추세 변화 감지)
• 4시간 차트: 30-40 설정 (단기 스윙 트레이딩 신호)
• 시간봉 차트: 40-50 설정 (일중 추세 변화 감지)
• 일중 차트: 10-20 설정 (스캘핑 및 단기 거래)
■ 시장 유형별 조정
• 변동성 높은 시장: 높은 N값 (30-50) 설정으로 노이즈 필터링
• 추세 시장: 중간 N값 (20-30) 설정으로 주요 반전만 포착
• 횡보 시장: 낮은 N값 (10-20) 설정으로 범위 내 움직임 포착
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◆ 다른 지표와의 시너지
• 이동평균선: Market Structure Reversal Signals 신호와 주요 이동평균선 교차 지점이 일치할 때 신호 강화
• RSI: 과매수/과매도 수준에서의 Market Structure Reversal Signals 신호는 반전 가능성 높임
• 볼륨 지표: 높은 볼륨과 함께 발생하는 Market Structure Reversal Signals 신호는 신뢰도 향상
• 피보나치 레벨: 주요 피보나치 레벨에서 발생하는 Market Structure Reversal Signals 신호는 중요한 전환점 제공
• 채널 지표: 가격 채널의 상단/하단 돌파와 Market Structure Reversal Signals 신호 일치 시 강력한 돌파 확인
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◆ 결론
52SIGNAL RECIPE Market Structure Reversal Signals는 시장의 구조적 변화를 객관적으로 식별하여 잠재적인 추세 전환점을 명확하게 시각화합니다. 최근 N일 고점/저점 돌파를 통해 방향성 변화를 감지하는 단순하면서도 강력한 접근 방식은 다양한 시장 환경과 트레이딩 스타일에 적용할 수 있는 유연성을 제공합니다. 중복 신호 방지 메커니즘과 확정 봉 기반 신호 생성은 신호의 품질과 신뢰성을 크게 향상시킵니다. 다른 기술적 지표와 결합하여 사용할 때 시너지 효과를 극대화할 수 있으며, 트레이더에게 시장의 전환점을 조기에 포착할 수 있는 귀중한 도구를 제공합니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
TZanalyserTZanalyser (Trend Zone Monitor With Trend Strength, Volume Focus And -Events Markers)
Before I used TrendZones to manage my portfolio I used Fibonacci Zone Oscillator as my favorite in the sub panel, accompanied with another subpanel indicator which I never published called IncliValue and also REVE Cohorts.
TZanalyser inherits Ideas and code from all three of them: The visual and the idea of using a channel as the basis for an oscillator depicted as a histogram, is taken from the FibZone Oscillator. The idea of providing a number to evaluate the trend is taken from IncliValue. The idea to create a horizontal line which indicates high and low volume focus completed with markers for volume events, is taken from REVE-cohorts.
These ideas are combined in one sleek visual called TZanalyser. TZ stand for TrendZones, because the histogram is based on it.
The histogram.
Depicted is the distance of the price from COG as percent. The distance between Upper Curve and Lower Curve is used as 100%. The values may reach between 300 and -300. The colors indicate in which zone the candle lives, blue in the blue zone, green in the green zone etc. Despite the absence of a gray zone, there are gray bars. These depict candles that wrap around COG. Because hl2 is used as price, some gray bars point up and others down. The orange and red bars point down because the orange and red downtrend zones are below COG.
Use of the histogram.
Sometimes I need to create a list of stocks which are in uptrend in monthly, weekly and daily charts from the stocks I follow in my universe. This job is done fast and easy by looking at the last bar of the histogram. The histogram also gives a quick evaluation of how the stock fared in the past.
The number.
Suppose I need to allocate some money to another stock, selected a few, looked into news and gurus and they look equally good. Then it is nice to be able to find out which has the best charts. Which one has the strongest uptrend. For this purpose this number can be consulted, because it indicates somehow the strength of the trend. It is an integer between 20 and -20, the closer to 20 the stronger the uptrend, closer to -20 indicates a stronger downtrend. The color of the background is the same as the last column of the histogram.
Volume focus and events
The horizontal lines depict volume focus, the line below the focus that comes with the uptrend columns pointing up, the one above the focus for the downtrend columns pointing down. Thes line have tree colors: maroon for high volume focus, green for normal volume and gray for low volume situations. Between the lines and the histogram triangles appear at volume events, a green triangle when the candle comes with high volume, i.e. 120-200 percent of normal, maroon when extreme volume, i.e. more than 200 percent of normal.
The direction of these triangles is that of the histogram, i.e. when the price is higher, direction is up and vice versa.
Take care and have fun.
Pure Price Action Momentum OscillatorComplete Trading Guide: Pure Price Action Momentum Oscillator
1. Script Overview
What It Does
Tracks real-time momentum strength (bullish/bearish acceleration)
Identifies dynamic support/resistance zones for momentum (not price)
Alerts when momentum breaks or holds critical levels
What It Doesn’t Do
Predict long-term trends (use with trend indicators)
Replace price-based S/R levels (use alongside them)
Work well in extreme choppiness (adjust settings or avoid)
2. Key Features & Components
Feature Purpose Visual Cue
Momentum Histogram Shows strength/direction of price acceleration Color-coded bars
Zero Line Bullish/bearish momentum baseline Gray line (0 level)
Support Zone (Blue) Momentum floor where bounces happen Blue horizontal line
Resistance Zone (Orange) Momentum ceiling where pullbacks start Orange horizontal line
Stateful Alerts Persistent signals until conditions reverse Green/Red labels
3. Best Timeframes & Markets
Market Recommended Timeframe Notes
Stocks 5min - 1H Works best with high liquidity
Forex 15min - 4H Avoid during major news spikes
Crypto 1H - 4H Use with volume confirmation
Futures 5min - 1H Ideal for intraday momentum trades
❌ Avoid: Tick charts, <1min (too noisy), >Daily (loses sensitivity).
4. Confirmation Tools (Must-Use Combos)
A. Trend Confirmation
200 EMA (Price Chart)
Only trade longs if price > 200 EMA + momentum supports
Only trade shorts if price < 200 EMA + momentum confirms
ADX (14)
Use when ADX > 25 (strong trend) + momentum aligns
B. Volume Confirmation
Volume Profile
Enter longs only if momentum breaks resistance at high-volume nodes
VWAP
Buy pullbacks when momentum holds support and price is above VWAP
C. Price Structure
Fibonacci Retracements
Look for momentum breaks at 61.8% Fib levels for high-probability trades
Market Structure (Higher Lows/Lower Highs)
Momentum breakouts work best when price confirms trend
5. Trading Signals & Execution Rules
A. Breakout Trades (High Momentum)
Signal Conditions Action
Resistance Broken Histogram > Orange Zone + Price > Key S/R Enter Long
Support Broken Histogram < Blue Zone + Price < Key S/R Enter Short
Stop Loss:
Longs: 1 tick below nearest swing low
Shorts: 1 tick above nearest swing high
Take Profit:
Trail using the opposite zone (exit long when momentum drops below support)
B. Reversal Trades (Momentum Exhaustion)
Signal Conditions Action
Resistance Holding Histogram rejects Orange Zone + Bearish candle Short Entry
Support Holding Histogram bounces off Blue Zone + Bullish candle Long Entry
Stop Loss:
Beyond the recent swing high/low
Take Profit:
At next key S/R level
6. Advanced Interpretation
A. Divergence Trading
Hidden Bullish Divergence:
Price makes higher low, but momentum makes lower low → Potential reversal up
Hidden Bearish Divergence:
Price makes lower high, but momentum makes higher high → Potential reversal down
B. Session-Based Trading
London Open (3 AM EST): Watch for momentum breaks with volume surge
NY Midday (10 AM - 12 PM EST): Best for trend continuation
Crypto (UTC Midnight): Often sees volatility spikes
7. Risk Management & Position Sizing
Risk per trade: 1-2% of account
Leverage: ≤5x for intraday, ≤2x for swing
Avoid trading:
First 15 mins after major news
Low-volume periods (e.g., forex after 5 PM EST)
8. Pro Tips for Consistency
✅ Wait for Close: Don’t trade wicks, wait for candle close beyond zones.
✅ Combine with Price Action: Only trade if momentum aligns with candlestick patterns (e.g., pin bars, engulfing).
✅ Adjust Lookback: Increase in choppy markets, decrease in trends.
9. Limitations & Fixes
Issue Solution
Whipsaws in choppy markets Increase Min Lookback to 30+
Slow reaction in trends Reduce Max Lookback to 50
False breakouts Require volume confirmation
Final Verdict
This script is best used as a momentum filter – not a standalone system. Combine with:
✔ Trend indicators (200 EMA, ADX)
✔ Volume analysis (VWAP, Volume Profile)
✔ Price structure (S/R, Fibs)
Volume Velocity Range (VVR)Overview
The Volume Velocity Range (VVR) is an advanced momentum oscillator that combines price movement, volume dynamics, and statistical analysis to identify potential trend changes and market extremes. Operating on a 0-100 scale, VVR provides traders with a sophisticated view of market momentum that goes beyond traditional indicators.
Key Components
1. VVR Main Oscillator (0-100)
Measures the velocity of price movement weighted by volume participation
Incorporates advanced normalization techniques to maintain consistency across different market conditions
Green when above the 33rd percentile line (bullish momentum)
Red when below the 33rd percentile line (bearish momentum)
Smoothed calculation reduces noise while maintaining responsiveness
2. Dynamic 33rd Percentile Baseline
Adaptive reference line that adjusts to recent market behavior
Acts as the key threshold for color changes and momentum assessment
Automatically switches calculation method based on:
Crypto (Hourly): 168-period rolling window (7 days)
Stocks (Hourly): Expanding window (all available history)
Daily Timeframe: 20-period rolling for all assets
Three visual styles: Dotted, Step, or Thin line
Triangle markers indicate crossover points
3. Bottom Finder Indicator
Purple line analyzing volume absorption patterns
Measures the relationship between buying/selling pressure and price movement
Helps identify potential accumulation zones and market bottoms
Particularly useful during downtrends and consolidation periods
Visual Features
Trend Status Label
Real-time trend classification from "Strong Accel Up" to "Strong Accel Down"
Color-coded for quick visual reference
Updates dynamically as market conditions change
Fill Zones
Optional transparent fill between VVR and percentile line
Green when VVR is above the 33rd percentile (bullish bias)
Red when below (bearish bias)
Optional Components
VVR Slope indicator (hidden by default) for momentum rate analysis
Symbol type debugging label
ROC calculations available but hidden for advanced users
Trading Applications
Trend Identification
VVR above 33rd percentile (green) suggests bullish momentum
VVR below 33rd percentile (red) indicates bearish pressure
The 50 level serves as a general equilibrium point
Distance from percentile line indicates momentum strength
Reversal Signals
Crossovers of the 33rd percentile line are primary trend change signals
Green-to-red color changes warn of weakening momentum
Extreme readings (>80 or <20) may indicate overbought/oversold conditions
Bottom Finder divergences can signal accumulation
Risk Management
Use 33rd percentile line as dynamic support/resistance
Color changes provide immediate visual momentum shifts
Multiple timeframe analysis for confirmation
Alert Conditions
VVR crossing 50 (midline equilibrium)
VVR crossing 33rd percentile (primary signal)
Trend direction changes
Extreme level alerts (70/30)
Best Practices
For Crypto Trading
Utilizes 7-day rolling window on hourly charts
Adapts to 24/7 market dynamics
Particularly effective for momentum-based strategies
For Stock Trading
Expanding window captures long-term market character
Ideal for swing trading and position entries
Works well with volume-based strategies
Timeframe Considerations
Hourly: Best for short-term momentum trades
Daily: Optimal for swing trading positions
Automatically adjusts calculations based on timeframe
Customization Options
Adjust calculation periods for different trading styles
Toggle visual components based on preference
Color scheme fully customizable
Line styles and fills can be modified
Advanced Features
Intelligent asset detection (crypto vs stocks)
Automatic timeframe optimization
Statistical normalization for consistency
Safety mechanisms prevent extreme readings
This indicator represents a comprehensive approach to momentum analysis, combining traditional technical analysis concepts with modern statistical methods and adaptive calculations. It's designed for traders who need reliable signals across different market conditions and asset classes.
QQE + Signals RNEdited this to do away with larged signals of long and short to small triangles labeld only with QQE text
RSI Multi-Frame Multi-Asset
✅ Key Features:
Multi-Asset: Simultaneously analyze Bitcoin, SP500, Nasdaq, DXY, Gold, Oil, VIX and more
Multi-Timeframe: Configure any timeframe for all RSI calculations
Smart Average RSI: Automatically calculates the mean of all active RSI values
Special Data: Includes Bitcoin Hashrate, 10Y-2Y Spread, and US Interest Rates
Built-in Alerts: Automatic notifications on overbought/oversold crossovers
🎯 Why is it Unique?
Instead of looking at 10 different charts, you get an instant macro view of the market. The average RSI shows you the overall strength/weakness of global markets, while individual RSI values let you identify divergences and specific opportunities.
🚀 Perfect For:
Traders seeking correlations between assets
Global markets macro analysis
Identifying divergences between Bitcoin and traditional markets
Multi-timeframe breakout trading
Inflection PointInflection Point - The Adaptive Confluence Reversal Engine
This is not just another peak and valley indicator; it is a complete and total reimagining of how market turning points are detected, qualified, and acted upon. Born from the foundational concepts explored in systems like my earlier creation, DAFE - Turning Point, Inflection Point is a ground-up engineering feat designed for the modern trader. It moves beyond static rules and simple pattern recognition into the realm of dynamic, multi-factor confluence analysis and adaptive machine learning.
Where other indicators provide a guess, Inflection Point provides a probability. It meticulously analyzes the market's deepest currents—momentum, exhaustion, and reversal velocity—and fuses them into a single, unified "Confluence Score." This is not a simple combination of indicators; it is an intelligent, weighted system where each component works in concert, creating an analytical engine that is orders of magnitude more sophisticated and reliable than any standard reversal tool.
Furthermore, Inflection Point learns. Through its advanced Adaptive Learning Engine, it constantly monitors its own performance, adjusting its confidence and selectivity in real-time based on its recent success rate. This allows it to adapt its behavior to any security, on any timeframe, with remarkable success.
Theoretical Foundation - Confluence Core
Inflection Point's predictive power does not come from a single, magical formula. It comes from the intelligent synthesis of three critical market phenomena, weighted and scored in real-time to generate a single, high-conviction probability rating.
1. Factor One: Pre-Reversal Momentum State (RSI Analysis)
Instead of reacting to a simple RSI cross, Inflection Point proactively scans for the build-up of momentum that precedes a reversal.
• Formulaic Concept: It measures the highest RSI value over a lookback period for peaks and the lowest RSI for valleys. A signal is only considered valid if significant momentum has been established before the turn, indicating a stretched market condition ripe for reversal.
• Asymmetric Sophistication: The engine uses different, optimized thresholds for bull and bear momentum, recognizing that markets often fall faster than they rise.
2. Factor Two: Volatility Exhaustion (Bollinger Band Analysis)
A true reversal often occurs when price makes a final, exhaustive push into unsustainable territory.
• Formulaic Concept: The engine detects when price has significantly pierced the outer Bollinger Bands. This is not just a touch, but a statistical deviation from the mean that signals volatility exhaustion, where the energy for the current move is likely depleted.
3. Factor Three: Reversal Strength (Rate of Change Analysis)
The character of a reversal matters. A sharp, decisive turn is more significant than a slow, meandering one.
• Formulaic Concept: Using a short-term Rate of Change (ROC), the engine measures the velocity of the reversal itself. A higher ROC score adds significant weight to the final probability, confirming that the new direction has conviction.
4. The Final Calculation: The Adaptive Learning Engine
This is the system's "brain." It maintains a history of its past signals and calculates its real-time win rate. This hitRate is then used to generate an adaptiveMultiplier.
• Self-Correction: In "Quality Control" mode, a high win rate makes the indicator more selective, demanding a higher probability score to issue a signal, thereby protecting streaks. A lower win rate makes it slightly less selective to ensure it continues learning from new market conditions.
• The result is a system that is not static, but a living, breathing tool that adapts its personality to the unique rhythm of any chart.
Why Inflection Point is a Paradigm Shift
Inflection Point is fundamentally different from other reversal indicators for three key reasons:
Confluence Over Isolation: Standard indicators look at one thing (e.g., RSI > 70). Inflection Point simultaneously analyzes momentum, volatility, and velocity, understanding that true reversals are a product of multiple converging factors. It answers not just "if," but "why" a reversal is likely.
Probabilistic Over Binary: Other tools give you a simple "yes" or "no." Inflection Point provides a probability score from 0-100, allowing you to gauge the conviction of every potential signal. This empowers you to differentiate between a weak setup and an A+ opportunity.
Adaptive Over Static: Every other indicator uses the same rules forever. Inflection Point's Adaptive Engine means it is constantly refining its own logic based on what is actually working in the current market, on the specific asset you are trading. It is tailored to the now.
The Inputs Menu - Your Command Center
Every setting is a lever of control, allowing you to tune the engine to your precise trading style and market focus.
🧠 Neural Core Engine
Analysis Depth: This is the primary lookback for the Bollinger Band and other core calculations. A shorter depth makes the indicator faster and more sensitive, ideal for scalping. A longer depth makes it slower and more stable, ideal for swing trading.
Minimum Probability %: This is your master signal filter. It sets the minimum Confluence Score required to plot a signal. Higher values (85-95) will give you only the highest-conviction A+ setups. Lower values (70-80) will show more potential opportunities.
🤖 Adaptive Neural Learning
Enable Adaptive Learning Engine: Toggles the entire learning system. Disabling it will make the indicator's logic static.
Peak/Valley Success Threshold (ATR): This defines what constitutes a "successful" trade for the learning engine. A value of 1.5 means price must move 1.5x the ATR in your favor for the signal to be marked as a win. Adjust this to match your personal take-profit strategy.
Adaptive Mode: This dictates how the engine uses its hitRate. "Quality Control" is recommended for its intelligent filtering. "Aggressive" will always boost signal scores, useful for finding more setups in a known, trending environment.
Asymmetric Balance: Allows you to apply a "boost" to either peak (short) or valley (long) signals. If you find the market you're trading has stronger long reversals, you can increase the "Valley Signal Boost" to catch them more effectively.
🛡️ Elite Filters
Market Noise Filter: An exceptional tool for avoiding choppy markets. It counts the number of directional changes in the last 5 bars. If the market is whipping back and forth too much, it will block the signal. Lower the "Max Direction Changes" to be extremely selective.
Volume Filter: Requires signal confirmation from a significant volume spike. The "Volume Multiplier" dictates how large this spike must be (e.g., 1.2 = 20% above average volume). This is invaluable for filtering out low-conviction moves in stocks and crypto.
The Dashboard - Your Analytical Co-Pilot
The dashboard is not just a set of numbers; it is a holistic overview of the market's health and the engine's current state.
Unified AI Score: This section provides the most critical, at-a-glance information. "Total Score" is the current probability reading, while "Quality" gives you a human-readable interpretation. "Win Rate" shows the real-time performance of the Adaptive Engine.
Order Flow (OFPI): This measures the "weight" of money behind recent price moves by analyzing price change relative to volume. A high positive OFPI suggests strong buying pressure, while a high negative value suggests strong selling pressure. It gives you a peek into the market's underlying flow.
Component Analysis: This allows you to see the individual "Peak" and "Valley" confidence scores before they are filtered, giving you insight into building momentum before a signal forms.
Market Structure: This panel assesses the broader environment. "HTF Trend" tells you the direction of the larger trend (based on EMAs), while "Vol Regime" tells you if the market is in a high, medium, or low volatility state. Use this to align your signals with the broader market context.
Filter & Engine Statistics: Available on the "Large" dashboard, this provides deep insight into how many signals are being blocked by your filters and the current status of the Adaptive Engine's multiplier.
The Visual Interface - A Symphony of Data
Every visual element on the chart is designed for instant interpretation and insight.
Signal Markers: Simple, clean triangles mark the exact bar of a valid signal. A box is drawn around the high/low of the signal bar to highlight the precise point of inflection.
Dynamic Support/Resistance Zones: These are the glowing lines on your chart. They are not static lines; they are dynamic levels that represent the current battlefield between buyers and sellers.
Cyber Cyan (Valley Blue): This is the current Support Zone. This is the price level the market is currently trying to defend.
Neural Pink (Peak Red): This is the current Resistance Zone. This is the price level the market is currently trying to break through.
Grey (Next Level): This line is a projection, based on the current momentum and the size of the S/R range, of where the next major level of conflict will likely be. It acts as a potential price target.
Development & Philosophy
Inflection Point was not assembled; it was engineered. It represents hundreds of hours of research into market dynamics, statistical analysis, and machine learning principles. The goal was to create a tool that moves beyond the limitations of traditional technical analysis, which often fails in modern, algorithm-driven markets. By building a system based on multi-factor confluence and self-adaptive logic, Inflection Point provides a quantifiable, statistical edge that is simply unattainable with simpler tools. This is the result of a relentless pursuit of a better, more intelligent way to trade.
Universal Applicability
The principles of momentum, exhaustion, and velocity are universal to all freely traded markets. Because of its adaptive core and robust filtering options, Inflection Point has proven to be exceptionally effective on any security (stocks, crypto, forex, indices, futures) and on any timeframe (from 1-minute scalping charts to daily swing trading charts).
" Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected. "
— George Soros
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
Ehlers Two-Pole StochasticThis indicator implements John Ehlers' Two-Pole Stochastic Filter, a smoother alternative to the traditional stochastic oscillator. Instead of relying on raw %K values, it applies a second-order IIR filter (recursive smoothing) to reduce noise and improve trend clarity.
It outputs a single line oscillating between 0 and 1, with less lag and false signals compared to standard stochastic implementations.
Key Features:
Uses a two-pole filter to smooth the normalized stochastic (%K).
Ideal for detecting clean reversals and trend continuations.
Designed for minimal visual noise and greater signal confidence.
Interpretation:
Values near 1.0 may suggest overbought conditions.
Values near 0.0 may suggest oversold conditions.
Crosses above 0.5 can signal bullish shifts, and below 0.5 bearish shifts.
Recommended Settings:
Default smoothing factor (alpha) is 0.7 — higher values make the output more responsive, while lower values smooth further.
Inspired by concepts from Cybernetic Analysis for Stocks and Futures by John F. Ehlers.
