TTM Squeeze & Momentum by DreckenThis is one of five indicators created to identify periods of consolidation and watch the overall market momentum to help forecast the market direction and await a release of market energy.
TTM Squeeze Overlay shows Bollinger Bands and Keltner Channels. When the Bollinger Bands (purple) go inside of the Keltner Channel (yellow), the market is said to be in a squeeze.
The dots across the zero line of the TTM Squeeze & Momentum indicator will turn red, signifying this period market compression. Once the Bollinger Bands move outside of the Keltner Channel, a squeeze has “fired”. In order to determine the direction of the move, look at the histogram of the TTM Squeeze & Momentum . If it is above zero, the squeeze has fired long, otherwise short.
The A, B and C Waves use various moving averages and oscillators to visualize the overall strength and direction of the market on short, medium and long time frames. The C Wave is often viewed as the “anchor” for the market. If this wave is clearly positive with all bars above the zero line, we would avoid short trades as this is an indication that the overall momentum of the market is long. The opposite would also be true if the wave was clearly negative. When a squeeze fires, we want to see that Waves are in agreement with the direction of the signal. If a squeeze fires short but the waves are clearly positive and showing bullish momentum, we may opt not to take the signal since it would be fighting the overall market trend.
在腳本中搜尋"wave"
TTM Squeeze Overlay by DreckenThis is one of five indicators created to identify periods of consolidation and watch the overall market momentum to help forecast the market direction and await a release of market energy.
TTM Squeeze Overlay shows Bollinger Bands and Keltner Channels. When the Bollinger Bands (purple) go inside of the Keltner Channel (yellow), the market is said to be in a squeeze.
The dots across the zero line of the TTM Squeeze & Momentum indicator will turn red, signifying this period market compression. Once the Bollinger Bands move outside of the Keltner Channel, a squeeze has “fired”. In order to determine the direction of the move, look at the histogram of the TTM Squeeze & Momentum . If it is above zero, the squeeze has fired long, otherwise short.
The A, B and C Waves use various moving averages and oscillators to visualize the overall strength and direction of the market on short, medium and long time frames. The C Wave is often viewed as the “anchor” for the market. If this wave is clearly positive with all bars above the zero line, we would avoid short trades as this is an indication that the overall momentum of the market is long. The opposite would also be true if the wave was clearly negative. When a squeeze fires, we want to see that Waves are in agreement with the direction of the signal. If a squeeze fires short but the waves are clearly positive and showing bullish momentum, we may opt not to take the signal since it would be fighting the overall market trend.
TTM Squeeze Overlay by DreckenThis is one of five indicators created to identify periods of consolidation and watch the overall market momentum to help forecast the market direction and await a release of market energy.
TTM Squeeze Overlay shows Bollinger Bands and Keltner Channels. When the Bollinger Bands (purple) go inside of the Keltner Channel (yellow), the market is said to be in a squeeze.
The dots across the zero line of the TTM Squeeze & Momentum indicator will turn red, signifying this period market compression. Once the Bollinger Bands move outside of the Keltner Channel, a squeeze has “fired”. In order to determine the direction of the move, look at the histogram of the TTM Squeeze & Momentum . If it is above zero, the squeeze has fired long, otherwise short.
The A, B and C Waves use various moving averages and oscillators to visualize the overall strength and direction of the market on short, medium and long time frames. The C Wave is often viewed as the “anchor” for the market. If this wave is clearly positive with all bars above the zero line, we would avoid short trades as this is an indication that the overall momentum of the market is long. The opposite would also be true if the wave was clearly negative. When a squeeze fires, we want to see that Waves are in agreement with the direction of the signal. If a squeeze fires short but the waves are clearly positive and showing bullish momentum, we may opt not to take the signal since it would be fighting the overall market trend.
Indicator: ElliotWave Oscillator [EWO]This oscillator has to be used in conjunction with other EW tools (certainly cannot be the main indicator).
EWO has:
- Higher values during third waves' up
- Lower but still Positive values during the first and fifth waves up
- Negative values during the biggest corrections or downtrend impulse waves.
Personally, I am still trying to figure out EW, so do not use this. Just wanted to publish this for the EW masters out there who can put this to good use.
Appreciate any comments/feedback.
CCI Divergence Detector
A technical analysis tool that identifies divergences between price action and the Commodity Channel Index (CCI) oscillator. Unlike standard divergence indicators, this system employs advanced gradient visualization, multi-layer wave effects, and comprehensive customization options to provide traders with crystal-clear divergence signals and market momentum insights.
Core Detection Mechanism
CCI-Based Analysis: The indicator utilizes the Commodity Channel Index as its primary oscillator, calculated from user-configurable source data (default: HLC3) with adjustable length parameters. The CCI provides reliable momentum readings that effectively highlight price-momentum divergences.
Dynamic Pivot Detection: The system employs adaptive pivot detection with three sensitivity levels (High/Normal/Low) to identify significant highs and lows in both price and CCI values. This dynamic approach ensures optimal divergence detection across different market conditions and timeframes.
Dual Divergence Analysis:
Regular Bullish Divergences: Detected when price makes lower lows while CCI makes higher lows, indicating potential upward reversal
Regular Bearish Divergences: Identified when price makes higher highs while CCI makes lower highs, signaling potential downward reversal
Strength Classification System: Each detected divergence is automatically classified into three strength categories (Weak/Moderate/Strong) based on:
-Price differential magnitude
-CCI differential magnitude
-Time duration between pivot points
-User-configurable strength multiplier
Advanced Visual System
Multi-Layer Wave Effects: The indicator features a revolutionary wave visualization system that creates depth through multiple gradient layers around the CCI line. The wave width dynamically adjusts based on ATR volatility, providing intuitive visual feedback about market conditions.
Professional Color Gradient System: Nine independent color inputs control every visual aspect:
Bullish Colors (Light/Medium/Dark): Control oversold areas, wave effects, and strong bullish signals
Bearish Colors (Light/Medium/Dark): Manage overbought zones, wave fills, and strong bearish signals
Neutral Colors (Light/Medium/Dark): Handle table elements, zero line, and transitional states
Intelligent Color Mapping: Colors automatically adapt based on CCI values:
Overbought territory (>100): Bearish color gradients with increasing intensity
Neutral positive (0 to 100): Blend from neutral to bearish tones
Oversold territory (<-100): Bullish color gradients with increasing intensity
Neutral negative (-100 to 0): Transition from neutral to bullish tones
Key Features & Components
Advanced Configuration System: Eight organized input groups provide granular control:
General Settings: System enable, pivot length, confidence thresholds
Oscillator Selection: CCI parameters, overbought/oversold levels, normalization options
Detection Parameters: Divergence types, minimum strength requirements
Sensitivity Tuning: Pivot sensitivity, divergence threshold, confirmation bars
Visual System: Line thickness, labels, backgrounds, table display
Wave Effects: Dynamic width, volatility response, layer count, glow effects
Transparency Controls: Independent transparency for all visual elements
Smoothing & Filtering: CCI smoothing types, noise filtering, wave smoothing
Professional Alert System: Comprehensive alert functionality with dynamic messages including:
-Divergence type and strength classification
-Current CCI value and confidence percentage
-Customizable alert frequency and conditions
Enhanced Information Table: Real-time display showing:
-Current CCI length and value
-Market status (Overbought/Normal/Oversold)
-Active sensitivity setting
Configurable table positioning (4 corner options)
Visual Elements Explained
Primary CCI Line: Main oscillator plot with gradient coloring that reflects market momentum and CCI intensity. Line thickness is user-configurable (1-8 pixels).
Wave Effect Layers: Multi-layer gradient fills creating a dynamic wave around the
CCI line:
-Outer layers provide broad market context
-Inner layers highlight immediate momentum
-Core layers show precise CCI movement
-All layers respond to volatility and momentum changes
Divergence Lines & Labels:
-Solid lines connecting divergence pivot points
-Color-coded based on divergence type and strength
-Labels displaying divergence type and strength classification
-Customizable transparency and size options
Reference Lines:
-Zero line with neutral color coding
-Overbought level (default: 100) with bearish coloring
-Oversold level (default: -100) with bullish coloring
Background Gradient: Optional background coloring that reflects CCI intensity and market conditions with user-controlled transparency (80-99%).
Configuration Options
Sensitivity Controls:
Pivot sensitivity: High/Normal/Low detection levels
Divergence threshold: 0.1-2.0 sensitivity range
Confirmation bars: 1-5 bar confirmation requirement
Strength multiplier: 0.1-3.0 calculation adjustment
Visual Customization:
Line transparency: 0-90% for main elements
Wave transparency: 0-95% for fill effects
Background transparency: 80-99% for subtle background
Label transparency: 0-50% for text elements
Glow transparency: 50-95% for glow effects
Advanced Processing:
Five smoothing types: None/SMA/EMA/RMA/WMA
Noise filtering with adjustable threshold (0.1-10.0)
CCI normalization for enhanced gradient scaling
Dynamic wave width with ATR-based volatility response
Interpretation Guidelines
Divergence Signals:
Strong divergences: High-confidence reversal signals requiring immediate attention
Moderate divergences: Reliable signals suitable for most trading strategies
Weak divergences: Early warning signals best combined with additional confirmation
Wave Intensity: Wave width and color intensity provide real-time volatility and momentum feedback. Wider, more intense waves indicate higher market volatility and stronger momentum.
Color Transitions: Smooth color transitions between bullish, neutral, and bearish states help identify market regime changes and momentum shifts.
CCI Levels: Traditional overbought (>100) and oversold (<-100) levels remain relevant, but the gradient system provides more nuanced momentum reading between these extremes.
Technical Specifications
Compatible Timeframes: All timeframes supported
Maximum Labels: 500 (for divergence marking)
Maximum Lines: 500 (for divergence drawing)
Pine Script Version: v5 (latest optimization)
Overlay Mode: False (separate pane indicator)
Usage Recommendations
This indicator works best when:
-Combined with price action analysis and support/resistance levels
-Used across multiple timeframes for confirmation
-Integrated with proper risk management protocols
-Applied in trending markets for divergence-based reversal signals
-Utilized with other technical indicators for comprehensive analysis
Risk Disclaimer: Trading involves substantial risk of loss. This indicator is provided for analytical purposes only and does not constitute financial advice. Divergence signals, while powerful, are not guaranteed to predict future price movements. Past performance is not indicative of future results. Always use proper risk management and never trade with capital you cannot afford to lose.
MA Thrust Processor | QuantEdgeB⚡MA Thrust Processor | QuantEdgeB
🔭 What is the MA Thrust Processor?
The MA Thrust Processor (MTP) is a dynamic and modular market momentum engine that specializes in thrust-based signal analysis derived from smoothed moving averages. It’s engineered to model directional commitment, detect signal imbalances, and visualize structural momentum in a range of market conditions.
🧬 Think of MTP as a precision-engineered motion sensor — decoding strength, follow-through, and structural imbalance in real time — it detects force, direction, velocity, and alignment, adapting based on your preferred calculation model (Wave, Thrust, Z-Score, or Normalized) and signal mode (Impulse, Trend, or HA Candles).
_______________________
1. 🔧 System Core: Customizability and Processing Engine
📊 Moving Average Types
MA Thrust Processor supports a rich menu of 13+ moving average styles:
• Standard: SMA, EMA, WMA
• Advanced: HMA, LSMA, ALMA, JMA, TEMA, DEMA, SMMA
• Volume-Based: VWMA
• Adaptive Models: VIDYA (3 modes), FRAMA
💡 Each MA type acts as the backbone for signal smoothing and thrust deviation modeling, giving the user tight control over behavior and lag tradeoffs.
⚙️ Calculation Methods (MA Derivatives)
You choose how the core value is calculated:
1️⃣ 𝓦𝓪𝓿𝓮
• Sine-wave modeled oscillator
• Combines MA distance with standard deviation normalization
• Ideal for detecting divergences and cyclical structure
• Output includes center, smoothed line , and histogram.
2️⃣ 𝓣𝓱𝓻𝓾𝓼𝓽
• Calculates MA deviation vs. price and midpoint
• Captures aggressive directional pushes relative to range center
• Excellent for breakout/trend force analysis
3️⃣ 𝓩-𝓢𝓬𝓸𝓻𝓮
• Mean-reverting z-score over MA
• Expresses statistical distance from norm
• Used in reversion or probabilistic strategies
4️⃣ 𝓝𝓸𝓻𝓶𝓪𝓵𝓲𝔃𝓮𝓭
• Scales MA output to 0–1 (centered at 0.5)
• Tracks where the signal lies in its own relative range
• Great for flat vs. trending recognition
_______________________
2. 🧨 SIGNAL MODES – The Behavioral Core
The system supports 3 powerful signal modes that define how the thrust logic is interpreted and visualized.
1️⃣ 𝓘𝓶𝓹𝓾𝓵𝓼𝓮 Mode
🔥 Use Case: Breakouts, aggressive reversals, divergences
🔍 Logic:
• In Wave mode: compares Wave O (oscillator) and S (smoothed)
• In Thrust/Z-Score/Normalized: applies thresholds (static, SD, or percentile)
• Detects sharp departures or rejections from bounds
🎯 Ideal for:
• Scalp or event trades
• High-velocity moves
• Leading edge of trend or compression breaks
2️⃣ 𝓣𝓻𝓮𝓷𝓭 Mode
🧭 Use Case: Stable continuation and trend following
🔍 Logic:
• Signal triggers when value crosses a calculated midline or long-term average
• Thresholds: midline or 365-SMA of smoothed value
• Acts as a stable “bias direction” for trades
🎯 Ideal for:
• Swing trading
• Portfolio allocations
• Holding directional exposure longer
3️⃣ 𝓗𝓐 𝓒𝓪𝓷𝓭𝓵𝓮𝓼 Mode
🎨 Use Case: Visual clarity + phase detection
🔍 Logic:
• Converts signal to Heikin-Ashi candles
• Adds logic for momentum, reversal, continuation, or chop
• Highly discretionary and pattern-oriented
🎯 Ideal for:
• Visual traders
• Phase-based strategies
• Avoiding false positives in chop
_______________________
3. 📊 System Sensor Table (Strength Meter)
MA Thrust Processor includes a sophisticated sensor display with multi-layered insights.
🔁 Signal State
• Long ⟹ bullish conviction or thrust
• Short ⟹ bearish dominance or rejection
• Cash ⟹ neutrality or low conviction
Dynamically generated by logic mode and indicator thresholds.
📊 Strength Bars: Conviction + Potential
Strength output is never binary — instead, it’s expressed via:
1️⃣ Conviction Strength (when signal is active):
• Score from 0% to 100%
• Based on:
o Momentum velocity (Rate of Change)
o Distance from key thresholds
o Divergence signal (Wave mode)
o Flat signal detection (for Normalized)
2️⃣ Potential Strength (when signal = neutral):
• Displays both Bullish and Bearish readiness
• Interprets which side is loading pressure
• Helps traders spot “who has the edge” before breakout
👀 In Wave Mode, potential is calculated from oscillator vs. smoothed
👀 In Impulse/Trend, it blends distance + RoC + signal stability
🔸 HA Candle Phase (HA Mode Only)
When HA mode is active, strength bars are replaced with a live phase classifier:
• Momentum Up/Down: price above/below threshold + same color trend
• Reversal Up/Down: price above/below bounds, opposite signal color
• Continuation Up/Down: following a breakout/confirmation
• Chop: indecision zone
• Neutral: no clear trend
This turns HA mode into a narrative engine, expressing what’s happening, why, and what might come next.
_______________________
4. 🧠 Smart Auto-Configuration
Enabling Use Recommended Settings triggers optimized configurations:
• Pre-set thresholds (static, percentile, SD)
• Ideal lengths for each logic type
• Proper bounds scaling
• MA selections that match the logic
For example:
• Impulse + Thrust ⇒ shorter length + SD
• Trend + Z-Score ⇒ long mean-based
• Wave ⇒ balanced smoothing + SD blend
_______________________
5. 🧪 Summary of Use Cases
Each mode and calculation method within the MA Thrust Processor is tailored for specific trading styles and market conditions. Here’s how to think about their best applications:
🔹 Signal Modes
Impulse Mode is designed for speed and responsiveness. It excels in fast markets where breakouts or sharp reversals happen quickly. Ideal for scalpers, intraday traders, or anyone looking to catch momentum just as it ignites. It’s particularly effective around high-impact events like economic reports or news catalysts, as it picks up directional shifts rapidly.
Trend Mode focuses on longer-term, stable price action. It identifies directional bias using midline or average-based thresholds, making it best for swing traders and trend followers. Because of its stability, it filters out minor fluctuations and helps you stay in trades longer when the directional move is sustained.
HA Candles Mode is for traders who prefer a visual, phase-based approach. It smooths data using Heikin-Ashi logic and adds interpretive layers like "Momentum," "Reversal," or "Chop" to describe what’s happening structurally. This is excellent for discretionary traders, those who use price rhythm or structure, and those seeking cleaner entry points in noisy environments.
🔹 Calculation Methods
Wave is an oscillator-based model. It detects momentum swings and divergence between price and the smoothed oscillator. Great for spotting early reversals, pullback continuations, or cyclical rhythm patterns. In Impulse mode, it shows histogram shifts that reflect internal thrust dynamics.
Thrust quantifies directional pressure by comparing the signal’s distance from both the midpoint of price range and an SMA. This method is powerful when you want to assess how much true force is behind a move — especially useful during breakout scenarios or strong directional pushes.
Z-Score mode normalizes the signal to its statistical distance from the mean. This makes it ideal for mean reversion strategies or situations where price has deviated too far from historical behavior. Traders can look for exhaustion zones or pullback opportunities with greater confidence.
Normalized rescales the signal within a 0–1 range (centered at 0.5), helping traders understand where the price sits within its own context — whether it’s relatively extended or compressed. It’s great for range traders, flat market identification, or mapping gradual bias accumulation.
_______________________
Each mode and method has been thoughtfully designed to align with different strategy frameworks — and switching between them completely reconfigures the way the system operates, giving traders unmatched flexibility across timeframes and asset classes
_______________________
🧭 Conclusion
MA Thrust Processor isn’t just a tool - it’s a precision-calibrated thrust engine that gives market context form. It lets you define your logic, style, and MA behavior while delivering rich visual output and conviction-based strength insight.
Whether you're reading momentum waves, modeling thrust deviation, or interpreting candle structure, MTP adapts to your strategy.
🚀 From short-term scalps to long-term rotations, MTP delivers signal clarity with the quantitative conviction needed in modern markets.
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Regime Scope | mad_tiger_slayerRegimeScope by mad_tiger_slayer
Adapt to the Market’s Mood. Trade in Sync with Regime Scope.
Overview
Regime Scope is an advanced multi-factor market regime identifier meticulously engineered to determine whether an asset is exhibiting trending behavior (Markup/Markdown phases) or mean-reverting dynamics (Sideways - Accumulation/Distribution). By integrating and synthesizing outputs from nine rigorously chosen statistical and volatility-based models, this tool offers a unified framework for assessing regime conditions with precision.
This indicator is best used in conjunction with other tools in your trading arsenal—serving not as a standalone signal generator, but as a high-value filter for confluence and strategic alignment. Whether you're trading breakouts, reversals, or mean-reversion setups, Regime Scope can elevate your system’s contextual awareness and execution timing.
How It Works – Part 1
Regime Scope calculates a composite "regime score" by normalizing and averaging a range of volatility and statistical measures. This score, which ranges between -1 and +1, indicates the likelihood of the market being in a trending versus mean-reverting state.
Values near +1 suggest a strong trending environment.
Values near -1 suggest strong mean-reversion (sideways, volatile) conditions.
Values between -0.30 and +0.30 are considered neutral and indicate choppy or range-bound market behavior.
When the average regime score crosses above the upper threshold, the asset likely enters a trending state.
When it crosses below the lower threshold, the market likely shifts to a volatile, mean-reverting state.
The histogram and dynamic background color provide an intuitive visual guide to the current regime.
How It Works – Part 2: Components
Each of the following sub-models has been carefully selected for its contribution to understanding price behavior. All components are normalized to create a consistent, unified score:
Phillips-Perron Test: Detects the presence of a unit root to infer stationarity and mean-reverting characteristics.
Hurst Exponent: Measures long-term memory in a time series to identify persistence or anti-persistence.
KPSS Test: Tests for level stationarity to contrast against unit-root behavior and validate trending assumptions.
GARCH Volatility: Captures volatility clustering and regime shifts in conditional variance.
Wavelet Transform: Decomposes price action into time-frequency space to extract non-linear and localized dynamics.
Half-Life of Mean Reversion: Estimates the speed at which price returns to its mean, enhancing the timing of reversion plays.
Augmented Dickey-Fuller (ADF) Test: Statistically verifies whether a series exhibits mean-reverting tendencies.
Garman-Klass-Yang-Zhang Volatility: A robust historical volatility measure using open-high-low-close data.
ADX (Average Directional Index): A classic technical tool for quantifying the strength of trend directionality.
How It Works – Part 3: Output Interpretation
All sub-models are normalized and synthesized into a single histogram plot shown in the lower chart panel.
+1.0 to +0.30: Indicates high probability of a directional, trending market.
-1.0 to -0.30: Indicates high probability of a sideways, mean-reverting regime.
-0.30 to +0.30: Suggests a neutral, uncertain market condition.
Transitions above or below these thresholds signal regime shifts.
Background shading adapts in real-time to visually reflect regime classification.
Features
Customizable thresholds to fine-tune sensitivity for regime classification.
Visual overlay positioning (choose from top-left, bottom-right, etc.).
Toggleable reference lines for regime thresholds.
Cross-timeframe consistency through dynamic normalization.
Each sub-model includes adjustable settings for personalized optimization.
Use Cases
Dynamically switch between trend-following and mean-reversion strategies.
Filter out choppy, low-probability zones by avoiding neutral regime periods.
Use regime score as confluence with entry/exit signals from other indicators.
Adapt strategies across timeframes—works well from scalping to swing trading.
Best used on timeframes ≥12H for macro regime context, but scalpers can benefit by using it on shorter windows with tuned parameters.
Scalping Use Case
Overlay the regime score on low timeframes (e.g., 1m–15m) and use it to avoid high chop zones or confirm breakout volume spikes during trending periods.
Long-Term Use Case
On 1D–1W charts, Regime Scope can filter false breakouts and confirm macro trend alignment for position trades or swing setups.
Tip
Combine Regime Scope with traditional technical tools like RSI, MACD, Bollinger Bands, or moving average crossovers to enhance strategic coherence.
For example, only act on breakout or trend-following signals when the regime score exceeds the upper threshold, confirming a high-trend environment.
Conversely, mean-reversion strategies like fading RSI extremes or trading Bollinger Band bounces work best when the regime score is in the lower range.
Aligning your tactical entries with the broader regime can significantly reduce false signals, enhance trade probability, and improve overall system robustness.
ICT-Elliott Hybrid Oscillator네이버 프리미엄 콘텐츠 > 재테크 사관학교 검색
This indicator uses Elliott Wave Theory and ICT (Inner Circle Trader) concepts to help easily and accurately predict when asset prices like cryptocurrencies or stocks will rise or fall.
📌 Easy Explanation of Terms
✅ What is Elliott Wave?
A theory stating that price movements follow a specific pattern (5 upward waves + 3 downward waves) repeatedly. Simply put, it's about repetitive cycles of rises and falls creating overall trends.
✅ What is ICT Theory?
A strategy that identifies optimal trading times by observing critical price areas traded by institutional investors (Order Blocks), imbalances in price (Fair Value Gaps - FVG), and major turning points (Break of Structure - BOS).
📈 Signals Provided by the Indicator
🔹 ① Pivot Highs & Lows
Red ▼: Short-term high (increased likelihood of price falling)
Green ▲: Short-term low (increased likelihood of price rising)
🔹 ② Fair Value Gap (FVG)
Green highlighted area: Zone where price is likely to rise again
Red highlighted area: Zone where price is likely to fall again
🔹 ③ Break of Structure (BOS)
Blue "BOS Up": Indicates a shift to an upward trend
Orange "BOS Down": Indicates a shift to a downward trend
⏳ Recommended Timeframe Combinations
| Major Trend (Basic Analysis) | Entry Point (Detailed Analysis) | Short-term Timing (Precision Analysis) |
| ---------------------------- | ------------------------------- | -------------------------------------- |
| 4-hour | 1-hour | 15-minute |
Use the 4-hour timeframe to gauge overall trends,
the 1-hour timeframe to pinpoint exact entry and exit points,
and the 15-minute timeframe for precise timing.
Include Source
🕯 Recommended Candle Patterns
* Pin Bar (Long wick candle) → Trend reversal signal
* Engulfing Candle (fully covering previous candle) → Strong trend reversal signal
* Hammer & Shooting Star (small body with a long wick) → Bullish or bearish reversal signal
* Doji (balance between buyers and sellers) → High potential for trend reversal
Market Manipulation Index (MMI)The Composite Manipulation Index (CMI) is a structural integrity tool that quantifies how chaotic or orderly current market conditions are, with the aim of detecting potentially manipulated or unstable environments. It blends two distinct mathematical models that assess price behavior in terms of both structural rhythm and predictability.
1. Sine-Fit Deviation Model:
This component assumes that ideal, low-manipulation price behavior resembles a smooth oscillation, such as a sine wave. It generates a synthetic sine wave using a user-defined period and compares it to actual price movement over an adaptive window. The error between the real price and this synthetic wave—normalized by price variance—forms the Sine-Based Manipulation Index. A high error indicates deviation from natural rhythm, suggesting structural disorder.
2. Predictability-Based Model:
The second component estimates how well current price can be predicted using recent price lags. A two-variable rolling linear regression is computed between the current price and two lagged inputs (close and close ). If the predicted price diverges from the actual price, this error—also normalized by price variance—reflects unpredictability. High prediction error implies a more manipulated or erratic environment.
3. Adaptive Mechanism:
Both components are calculated using an adaptive smoothing window based on the Average True Range (ATR). This allows the indicator to respond proportionally to market volatility. During high volatility, the analysis window expands to avoid over-sensitivity; during calm periods, it contracts for better responsiveness.
4. Composite Output:
The two normalized metrics are averaged to form the final CMI value, which is then optionally smoothed further. The output is scaled between 0 and 1:
0 indicates a highly structured, orderly market.
1 indicates complete structural breakdown or randomness.
Suggested Interpretation:
CMI < 0.3: Market is clean and structured. Trend-following or breakout strategies may perform better.
CMI > 0.7: Market is structurally unstable. Choppy price action, fakeouts, or manipulative behavior may dominate.
CMI 0.3–0.7: Transitional zone. Caution or reduced risk may be warranted.
This indicator is designed to serve as a contextual filter, helping traders assess whether current market conditions are conducive to structured strategies, or if discretion and defense are more appropriate.
[COG]StochRSI Zenith📊 StochRSI Zenith
This indicator combines the traditional Stochastic RSI with enhanced visualization features and multi-timeframe analysis capabilities. It's designed to provide traders with a comprehensive view of market conditions through various technical components.
🔑 Key Features:
• Advanced StochRSI Implementation
- Customizable RSI and Stochastic calculation periods
- Multiple moving average type options (SMA, EMA, SMMA, LWMA)
- Adjustable signal line parameters
• Visual Enhancement System
- Dynamic wave effect visualization
- Energy field display for momentum visualization
- Customizable color schemes for bullish and bearish signals
- Adaptive transparency settings
• Multi-Timeframe Analysis
- Higher timeframe confirmation
- Synchronized market structure analysis
- Cross-timeframe signal validation
• Divergence Detection
- Automated bullish and bearish divergence identification
- Customizable lookback period
- Clear visual signals for confirmed divergences
• Signal Generation Framework
- Price action confirmation
- SMA-based trend filtering
- Multiple confirmation levels for reduced noise
- Clear entry signals with customizable display options
📈 Technical Components:
1. Core Oscillator
- Base calculation: 13-period RSI (adjustable)
- Stochastic calculation: 8-period (adjustable)
- Signal lines: 5,3 smoothing (adjustable)
2. Visual Systems
- Wave effect with three layers of visualization
- Energy field display with dynamic intensity
- Reference bands at 20/30/50/70/80 levels
3. Confirmation Mechanisms
- SMA trend filter
- Higher timeframe alignment
- Price action validation
- Divergence confirmation
⚙️ Customization Options:
• Visual Parameters
- Wave effect intensity and speed
- Energy field sensitivity
- Color schemes for bullish/bearish signals
- Signal display preferences
• Technical Parameters
- All core calculation periods
- Moving average types
- Divergence detection settings
- Signal confirmation criteria
• Display Settings
- Chart and indicator signal placement
- SMA line visualization
- Background highlighting options
- Label positioning and size
🔍 Technical Implementation:
The indicator combines several advanced techniques to generate signals. Here are key components with code examples:
1. Core StochRSI Calculation:
// Base RSI calculation
rsi = ta.rsi(close, rsi_length)
// StochRSI transformation
stochRSI = ((ta.highest(rsi, stoch_length) - ta.lowest(rsi, stoch_length)) != 0) ?
(100 * (rsi - ta.lowest(rsi, stoch_length))) /
(ta.highest(rsi, stoch_length) - ta.lowest(rsi, stoch_length)) : 0
2. Signal Generation System:
// Core signal conditions
crossover_buy = crossOver(sk, sd, cross_threshold)
valid_buy_zone = sk < 30 and sd < 30
price_within_sma_bands = close <= sma_high and close >= sma_low
// Enhanced signal generation
if crossover_buy and valid_buy_zone and price_within_sma_bands and htf_allows_long
if is_bullish_candle
long_signal := true
else
awaiting_bull_confirmation := true
3. Multi-Timeframe Analysis:
= request.security(syminfo.tickerid, mtf_period,
)
The HTF filter looks at a higher timeframe (default: 4H) to confirm the trend
It only allows:
Long trades when the higher timeframe is bullish
Short trades when the higher timeframe is bearish
📈 Trading Application Guide:
1. Signal Identification
• Oversold Opportunities (< 30 level)
- Look for bullish crosses of K-line above D-line
- Confirm with higher timeframe alignment
- Wait for price action confirmation (bullish candle)
• Overbought Conditions (> 70 level)
- Watch for bearish crosses of K-line below D-line
- Verify higher timeframe condition
- Confirm with bearish price action
2. Divergence Trading
• Bullish Divergence
- Price makes lower lows while indicator makes higher lows
- Most effective when occurring in oversold territory
- Use with support levels for entry timing
• Bearish Divergence
- Price makes higher highs while indicator shows lower highs
- Most reliable in overbought conditions
- Combine with resistance levels
3. Wave Effect Analysis
• Strong Waves
- Multiple wave lines moving in same direction indicate momentum
- Wider wave spread suggests increased volatility
- Use for trend strength confirmation
• Energy Field
- Higher intensity in trading zones suggests stronger moves
- Use for momentum confirmation
- Watch for energy field convergence with price action
The energy field is like a heat map that shows momentum strength
It gets stronger (more visible) when:
Price is in oversold (<30) or overbought (>70) zones
The indicator lines are moving apart quickly
A strong signal is forming
Think of it as a "strength meter" - the more visible the energy field, the stronger the potential move
4. Risk Management Integration
• Entry Confirmation
- Wait for all signal components to align
- Use higher timeframe for trend direction
- Confirm with price action and SMA positions
• Stop Loss Placement
- Consider placing stops beyond recent swing points
- Use ATR for dynamic stop calculation
- Account for market volatility
5. Position Management
• Partial Profit Taking
- Consider scaling out at overbought/oversold levels
- Use wave effect intensity for exit timing
- Monitor energy field for momentum shifts
• Trade Duration
- Short-term: Use primary signals in trading zones
- Swing trades: Focus on divergence signals
- Position trades: Utilize higher timeframe signals
⚠️ Important Usage Notes:
• Avoid:
- Trading against strong trends
- Relying solely on single signals
- Ignoring higher timeframe context
- Over-leveraging based on signals
Remember: This tool is designed to assist in analysis but should never be used as the sole decision-maker for trades. Always maintain proper risk management and combine with other forms of analysis.
Ultimate Market Rhythm Scanner FXReady to feel like a chart-wielding wizard? The Ultimate Market Rhythm Scanner FX is here to supercharge your Forex analysis by piping in multi-timeframe goodness from up to 10 OANDA currency pairs. You’ll see structure breakouts, Ichimoku signals, MACD pulses, RSI/Bollinger momentum waves, and candlestick patterns—all at once.
Think of it as your own personal mission control dashboard, scanning the FX galaxy and beaming back color-coded signals so you know instantly where the market action is hottest. Remember, to keep the data aligned, you’ll want to load this indicator on an OANDA FX pair chart (like OANDA:EURUSD) so everything lines up perfectly behind the scenes.
Key Features
Market Structure Wizardry
Locates pivot highs and lows (Higher High, Lower Low, etc.)
Spots breakouts above/below these pivots
Shouts out “CHoCH” (Change of Character) when structure flips from bullish to bearish (or vice versa)
If you want to understnd more about the market structure logic in this script check out my other script, it uses the same logic:
Tracks price above/below the Ichimoku Cloud
Flags Tenkan/Kijun crosses for bullish or bearish setups
MACD & SMI Insights
MACD line vs. Signal Cross & crossing the Zero line
SMI crosses in overbought/oversold “zones” (because pure oscillator mania is cool)
Momentum Radar
Mashes up RSI + Bollinger + Ichimoku for either “Bullish,” “Bearish,” or “Neutral”
Also checks a separate Daily timeframe for cosmic perspective
Candlestick Pattern Goodness
Detects common candle formations (Hammer, Hanging Man, Marubozu, etc.)
Tells you exactly how many bars ago they flashed their signals
Time Fade Magic
Recent signals shine bright
Older signals fade out like invisible ninjas after a user-defined number of bars
Explanation of Settings
Below lies the control panel for your new chart-snooping sidekick:
Symbol Settings (Symbol 1...Symbol 10)
Select multiple FX OANDA pairs (like OANDA:AUDUSD).
Each pair spawns a new column in the scanner table.
Ensure your chart is also set to an OANDA pair—the script only speaks “OANDA.”
Ichimoku Settings
Use Ichimoku Filter: Toggles everything Ichimoku.
conversionPeriods, basePeriods, laggingSpan2Periods, displacement: The classic Ichimoku parameters to mold your cloud magic.
Pivot Logic
Pivot Source: Wicks vs. Closes for pivot detection.
BOS Confirmation: If you prefer breakouts confirmed by wicks or closes.
Left Swing Length: Bars left for pivots.
Right Swing Length High / Low: Bars right for pivot confirmation.
Invert Right Swing in Bearish Trend: Auto-flip logic when gloom takes over. This means right swing size high value will become right swing size low value in a bearish trend (determined by latest CHoCH).
RSI & Bollinger
RSI Period: The heartbeat of RSI.
RSI Overbought / Oversold: Thresholds for RSI mania.
BB Length / StdDev: The Bollinger band radius for measuring price expansions.
MACD
fastLength, slowLength, signalLength: The trifecta that shapes your MACD wave.
SMI Settings
Nested variables for SMI’s K, D, and EMA lengths.
Overbought and Oversold levels for zone detection.
Time Display Settings
Fade out old signals: Turn the fade effect on/off.
Fade After X Bars: The number of bars after which signals do a ghost trick.
Fade Transparency: How ghostly (0–100) those old signals become.
Table Settings
Show Table: Summon or banish the entire scanner table.
Table Position: Choose the quadrant for your new data-loving sidekick.
Table Text Size: Big or small text for those crucial signals.
Table Layout
With “Show Table” on, a futuristic readout appears, listing:
Columns: Each symbol’s name runs across the top (up to 10).
Rows: A row for each technical aspect, such as:
Last Pivot (pivot) – The most recent pivot type (HH, HL, LH, LL) and how many bars ago.
Last CHoCH – Crows “▲/▼ X bars ago” if structure reversed.
Ichi Cloud (ichi) – Tells you if price soared above or dived below the Cloud.
Multi Mom D (momentum_d) – A daily momentum label (Bullish/Bearish/Neutral). It shows you daily momentum even on times frames lower than the daily. Multi Mom D is not reliable if the chart is on a time frame higher than the daily.
Multi Mom (momentum) – Current timeframe momentum label.
SMI ZONE (smizone) – If SMI’s in a bullish or bearish zone.
MACD 0 LINE (macdzero) – Number of bars since crossing zero.
SMI CROSS (smicross) – A bullish or bearish cross in overbought/oversold territory.
TK Cross (tk) – Tenkan/Kijun cross and how many bars ago.
MACD Cross (macd) – MACD crossing above/below its signal line.
Last Pattern (lastpat) – The candle pattern found and bars since it popped.
Pattern (pattype) – The name of that pattern (Hammer, Hanging Man, etc.).
Each cell can be tinted in a blue-ish glow for bullish vibes, or a purple shade for bearish signals. The “bars ago” text helps you see how fresh the signal is—fewer bars = more relevant.
Usage Notes
OANDA Chart is King
Always apply this indicator on an OANDA-based chart (e.g., OANDA:GBPJPY). If you deviate, the script might not retrieve data properly from the OANDA feed.
Symbol List
For each of the symbols inputs, pick your favorite currency crosses (all from the OANDA universe).
Timeframes
The script runs on your current chart’s timeframe for near-term action.
It simultaneously checks the daily timeframe to measure high-level momentum.
Fade-Out Feature
By default, signals older than 5 bars fade out. Adjust in “Time Display Settings” if you want them to linger.
Confluence is King
If a pivot breakout, bullish Ichimoku cross, and an SMI overbought cross all light up at once, you might have a short-term rocket on your hands. Always confirm with your trading plan!
Summary
Embrace your inner data nerd with the Market Rhythm Scanner FX—the ultimate multi-asset intelligence platform for OANDA Forex pairs. From subtle pivot changes to daily momentum shifts, from candle patterns to MACD fireworks, it’s all consolidated into one easy-to-digest control panel.
Step 1: Load up an OANDA chart (like “OANDA:EURUSD”).
Step 2: Enter your chosen OANDA pairs under “Symbol Settings.”
Step 3: Geek out over the instant real-time multi-indicator table, letting you see which instruments are sizzling or fizzling.
No more frantic tab-hopping. Save your mental bandwidth for the big decisions.
Let the Ultimate Market Rhythm Scanner FX be your ever-watchful sidekick, scanning the charts so you can conquer the Forex battlefield like the tech-savvy champion you are!
This script is free to use at present, but I reserve the right to move it behind a paywall in the future.
QT RSI [ W.ARITAS ]The QT RSI is an innovative technical analysis indicator designed to enhance precision in market trend identification and decision-making. Developed using advanced concepts in quantum mechanics, machine learning (LSTM), and signal processing, this indicator provides actionable insights for traders across multiple asset classes, including stocks, crypto, and forex.
Key Features:
Dynamic Color Gradient: Visualizes market conditions for intuitive interpretation:
Green: Strong buy signal indicating bullish momentum.
Blue: Neutral or observation zone, suggesting caution or lack of a clear trend.
Red: Strong sell signal indicating bearish momentum.
Quantum-Enhanced RSI: Integrates adaptive energy levels, dynamic smoothing, and quantum oscillators for precise trend detection.
Hybrid Machine Learning Model: Combines LSTM neural networks and wavelet transforms for accurate prediction and signal refinement.
Customizable Settings: Includes advanced parameters for dynamic thresholds, sensitivity adjustment, and noise reduction using Kalman and Jurik filters.
How to Use:
Interpret the Color Gradient:
Green Zone: Indicates bullish conditions and potential buy opportunities. Look for upward momentum in the RSI plot.
Blue Zone: Represents a neutral or consolidation phase. Monitor the market for trend confirmation.
Red Zone: Indicates bearish conditions and potential sell opportunities. Look for downward momentum in the RSI plot.
Follow Overbought/Oversold Boundaries:
Use the upper and lower RSI boundaries to identify overbought and oversold conditions.
Leverage Advanced Filtering:
The smoothed signals and quantum oscillator provide a robust framework for filtering false signals, making it suitable for volatile markets.
Application: Ideal for traders and analysts seeking high-precision tools for:
Identifying entry and exit points.
Detecting market reversals and momentum shifts.
Enhancing algorithmic trading strategies with cutting-edge analytics.
Fourier Smoothed Volume Zone Oscillator ( FSVZO )Overview 🔎
The fourier smoothed Volume Zone Oscillator (FSVZO) is a versatile tool designed to provide traders with a detailed understanding of market conditions by examining volume dynamics. FSVZO applies a series of advanced regularization techniques aimed at trying to reduce market noise, making signals potentially more readable and actionable. This indicator combines traditional technical analysis tools with a unique set of smoothing functions, aimed at creating a more balanced and reliable oscillator that can assist traders in their decision-making process.
A Combination of Technical Elements for a Unique Edge 🔀
FSVZO integrates a variety of technical elements to offer a comprehensive perspective on the market. These elements can be used individually or in combination, depending on user preferences. Here are the main components:
Volume Zone Oscillator (VZO): This foundational element leverages volume data to identify trends and shifts in buying or selling pressure. Unlike a standalone VZO, the FSVZO incorporates a Fourier-based regularization technique to reduce false signals, allowing traders to focus on meaningful volume-driven movements.
Ehler's White Noise Filter: This component is a sophisticated filter that helps distinguish genuine market signals from white noise. By isolating the meaningful movements in price and volume, the white noise filter contributes to the clarity and reliability of the signals generated.
Divergences Detection: FSVZO also provides divergence signals (both hidden and regular) based on the oscillator and price action. Divergences can be used to anticipate possible market reversals or confirmations, enhancing the trader's ability to recognize significant market shifts.
Money Flow Index (MFI) Smoothing: The MFI is calculated and then smoothed using wavelet and whitenoise techniques, providing a cleaner view of money flow within the market. This helps reduce erratic fluctuations and focuses on more consistent trends.
Trendshift Visualization: The FSVZO features an optional trendshift indicator, highlighting shifts between bullish and bearish conditions. These visual cues make it easier to identify trend reversals, aiding traders in timely decision-making.
Flexible Display Options 📊
FSVZO offers a variety of display modes to cater to different trading styles and visual preferences:
Neon Style Plot: The oscillator is presented with neon-style plots primarily for aesthetic purposes.
Color Blindness Modes 🌈: FSVZO includes several color palettes to accommodate traders affected by different types of color blindness (Protanopia, Deuteranopia, Tritanopia, Achromatopsia). These options ensure that everyone can easily interpret the signals, regardless of visual impairments.
Take Profit Areas & Alerts: The indicator can display take profit areas based on overbought or oversold conditions of the smoothed oscillator, marked by background hues to provide a clear visual signal. Alerts for high and low thresholds can also be enabled to identify moments of increased buying or selling interest.
Divergences and Trend Analysis 🔍
FSVZO also aims to identify bullish and bearish divergences:
Regular Bullish/Bearish Divergence: These occur when the oscillator diverges from the price action, indicating a possible reversal.
Hidden Bullish/Bearish Divergence: These occur within a trend, signaling continuation opportunities that help traders capitalize on ongoing trends.
FSVZO also supports additional filtering for divergences, allowing users to refine the detection of divergences to better suit their trading preferences.
Enhanced Noise Filtering 🔄
One of the unique features of FSVZO is its Fourier Regularization and Ehler's White Noise Filter, which help improve signal reliability by reducing the impact of market noise. These filtering methods are beneficial for traders seeking to avoid whipsaws and focus on more meaningful market movements.
Why FSVZO Stands Out 🔑
Noise Reduction: By combining multiple filtering techniques, FSVZO is designed to react to price changes as quickly as possible while offering various smoothing options to reduce noise, which may make it less responsive but more stable.
Flexible Visualization: The option to use different display modes and the inclusion of color blindness-friendly palettes make FSVZO versatile and accessible to all traders.
Detailed Divergence Analysis: The integration of both regular and hidden divergence detection helps improve the potential for identifying trading opportunities.
Advanced Regularization Techniques: The use of Fourier transformation and white noise filters adds a unique aspect to volume analysis, differentiating FSVZO from other traditional volume oscillators.
Conclusion 🔒
The Regularized Volume Zone Oscillator (FSVZO) is a unique tool that brings together multiple advanced techniques to help traders better understand market conditions and volume dynamics. The indicator is designed to react to price changes as quickly as possible, which may lead to false signals; however, it also offers smoothing options to help reduce noise at the cost of reduced reaction speed. This balance between responsiveness and stability provides traders with flexibility in adapting the indicator to different market conditions. However, as with all indicators, it is crucial to combine FSVZO with other tools and maintain sound risk management practices.
FSVZO is primarily designed for more experienced traders due the number of different signals it provides. It offers enhanced insights into volume trends and market movement, and should be used alongside other indicators to reduce risk and false signals
Optimized Future Time CyclesThis script is based on time cycles and visually displays the cyclical fluctuations of the past and future, helping to predict trend reversal points and market turning points. Below, I will explain the main functions of this indicator and how to interpret it.
1. Main Features of the Indicator
Time Cycle Settings:
Users can set different time cycles (e.g., 9 days, 17 days, 26 days), and each cycle is visually distinguished by colors and labels.
A specific date is set as the reference date, from which the cycles are calculated. The cycles appear as vertical lines on the chart, both in the past and future, allowing you to spot trend reversals.
Future and Past Cycles:
Future cycles help predict when trend changes will occur in the future. Based on the set cycles, you can anticipate turning points in market trends.
Past cycles allow you to examine historical cycles, providing insights into past market movements, which can serve as a basis for predicting future patterns. This helps identify similar patterns from the past that might repeat.
2. How to Use and Interpret the Indicator
Reference Date Setting:
The reference date is a crucial factor in this indicator. For example, if you set the reference date as an important market turning point in the past, you can obtain a more accurate analysis.
If the reference date is too recent, multiple cycles may overlap on the chart, but this is a normal phenomenon. In this case, it is recommended to set the reference date further back in time for a clearer chart.
Cycle Analysis:
Each cycle represents cyclical market volatility. Shorter cycles like 9-day, 17-day, and 26-day cycles represent different timeframes' volatility. When multiple cycles overlap, this could indicate a significant trend reversal.
Pay attention to points where cycles overlap, as these could signal stronger trend changes.
Importance of Future Cycles:
It’s especially important to pay attention to future cycles as they provide insights into potential trend reversals. Future cycles can indicate likely points of trend reversal, helping you prepare in advance.
3. Additional Considerations
Vertical Line and Label Spacing:
Since multiple cycles are displayed on the chart simultaneously, you can customize the spacing of the vertical lines and labels. If the chart becomes too crowded, you can adjust the line style (solid, dotted, etc.) to reduce visual clutter.
Short-Term vs. Long-Term Cycles:
Short-term cycles (e.g., 9-day cycles) are useful for predicting short-term volatility, while long-term cycles (e.g., 200-day cycles) help predict larger trend changes. You can combine short and long cycles for deeper analysis.
4. Recommended Combination: With Moving Average Wave Indicator
This time cycle indicator works well in combination with the Moving Average Wave Indicator. While the time cycle indicator identifies timing for trend changes, the Moving Average Wave Indicator visually shows the direction of the trend. When used together, they offer precise entry and exit points for trades.
Time Cycles indicate when a trend change might occur, and Moving Average Waves show the direction of that trend at those specific points. Combining both helps you identify strong buy/sell signals.
5. Conclusion
This indicator uses time cycles to help you predict past and future market volatility. The reference date plays a critical role, and when multiple cycles overlap, you can expect strong trend reversals. Focusing on future cycles and combining this with the Moving Average Wave Indicator allows you to grasp both the timing and direction of trend changes, making this a powerful tool for market analysis.
"It is recommended to combine it with the Ichimoku Wave Oscillator with Custom MA indicator."
이 스크립트는 **시간 주기(Time Cycle)**에 기반한 지표로, 과거 및 미래의 주기적 변동을 시각적으로 보여주어 추세 변화의 시점과 시장 변곡점을 예측하는 데 도움을 줍니다. 이 지표의 주요 기능과 해석 방법을 중심으로 자세히 설명드리겠습니다.
1. 지표의 주요 기능
시간 주기 설정:
각기 다른 시간 주기(9일, 17일, 26일 등)를 사용자가 설정할 수 있으며, 각 주기는 색상과 레이블로 시각적으로 구분됩니다.
특정 날짜를 **기준 날짜(reference date)**로 설정하여 그 날짜부터 주기들이 계산됩니다. 기준 날짜를 기반으로 과거와 미래의 주기가 차트에 수직선과 함께 나타나며, 이를 통해 추세의 변곡점을 확인할 수 있습니다.
미래 주기 및 과거 주기:
미래 주기는 미래의 추세 변화 시점을 예측하는 데 도움이 됩니다. 각 주기가 설정된 기준에 따라 추세 변곡점이 언제 도래할지 미리 알 수 있습니다.
과거 주기는 과거 시장에서의 주기적 변동을 확인하여, 앞으로의 시장 움직임을 예측하는 데 참고할 수 있습니다. 이를 통해 과거와 유사한 패턴을 포착할 수 있습니다.
2. 지표 사용 및 해석 방법
기준 날짜 설정:
이 지표의 기준 날짜는 매우 중요한 요소입니다. 예를 들어, 시장에서 중요한 변동이 있었던 날짜를 기준으로 설정하면 더 정확한 분석이 가능합니다.
기준 날짜가 너무 최근일 경우, 여러 주기들이 차트 상에서 겹칠 수 있는데 이는 정상적인 현상입니다. 이 경우, 기준 날짜를 더 과거로 설정하면 차트가 좀 더 깔끔하게 보일 수 있습니다.
주기 분석:
각 주기는 시장 변동성의 주기적 패턴을 나타냅니다. 9일, 17일, 26일 등의 주기는 각기 다른 시간대의 변동성을 나타내며, 주기가 겹칠 때 추세 전환 시점이 강하게 나타날 수 있습니다.
주기가 겹치는 시점에서 변동이 강해질 가능성이 있으며, 이때는 추세 변화에 주목할 필요가 있습니다.
미래 주기의 중요성:
특히 미래 주기를 확인하는 것이 중요한데, 미래에 어떤 시점에서 변곡점이 나타날지 예측하는 데 사용할 수 있기 때문입니다. 미래 주기는 추세 전환 가능성이 높은 시점을 알려줄 수 있으므로, 미리 준비하고 대응할 수 있게 도와줍니다.
3. 추가적으로 고려할 사항
수직선과 레이블 간격:
여러 주기들이 한꺼번에 차트에 표시되기 때문에, 수직선이나 레이블 간의 간격을 커스터마이징할 수 있습니다. 특히, 차트가 혼잡할 경우 선 스타일(실선, 점선 등)을 조정하여 시각적으로 덜 복잡하게 설정할 수 있습니다.
단기 vs. 장기 주기:
**단기 주기(예: 9일)**는 빠른 변동성을 예측하는 데 유리하며, **장기 주기(예: 200일)**는 더 큰 추세 변화를 예측하는 데 도움이 됩니다. 두 주기 간의 상호작용을 고려하여 분석의 깊이를 더할 수 있습니다.
4. 결합 사용 추천: 이평선 파동 지표와 함께
이 시간 주기 지표는 이평선 파동 지표와 결합하여 사용할 때 추세의 방향성과 변곡점을 동시에 분석하는 데 매우 유용합니다.
시간 주기는 추세 변곡점의 시점을 알려주고, 이평선 파동은 그 시점에서의 추세 방향성을 시각적으로 나타내므로, 두 지표를 함께 사용하면 정확한 매매 타이밍을 잡는 데 큰 도움이 됩니다.
5. 결론
이 지표는 **시간 주기(Time Cycle)**를 활용하여 과거 및 미래의 시장 변동성을 예측할 수 있도록 도와줍니다. 특히, 기준 날짜 설정이 매우 중요하며, 여러 주기가 겹치는 시점에서는 강한 추세 전환을 예상할 수 있습니다. 미래 주기를 중점적으로 분석하고, 이평선 파동 지표와 결합하여 사용하면 추세 변화의 방향성과 시점을 동시에 잡아낼 수 있어 매우 유용합니다. "Ichimoku Wave Oscillator with Custom MA 지표와 결합해서 사용하면 좋습니다."
Gartley Harmonic Pattern [TradingFinder] Harmonic Chart patterns🔵 Introduction
Research by H.M. Gartley and Scott Carney emphasizes the importance of harmonic patterns in technical analysis for predicting market movements. Gartley's work, particularly the Gartley 222 pattern, is detailed in his book "Profits in the Stock Market" and relies on the specific placement of points X, A, B, C, and D.
🟣 Defining the Gartley Pattern
The Gartley pattern is a powerful technical analysis tool often seen at the end of a trend, signaling a potential reversal. Ideally, it forms during the first and second waves of Elliott Wave theory, with wave XA representing wave 1 and the entire ABCD correction representing wave 2.
While patterns outside this structure are also valid, the key points of the Gartley pattern align closely with Fibonacci retracement levels. Specifically, point B corrects wave XA to the 61.8% level, point C lies between 38% and 79% of wave AB, and point D extends between 113% and 162% of wave BC.
The bullish Gartley pattern, shown below, forms at the end of a downtrend and signals a potential buying opportunity.
Bullish :
Bearish :
🔵 How to Use
🟣 Bullish Gartley Pattern
To spot a bullish Gartley pattern, follow these rules: the move from point X to point A (the first leg) must be upward. The subsequent move from point A to point B is downward, followed by an upward move from point B to point C.
Finally, the move from point C to point D is downward. On a chart, this pattern resembles the letter M. After the final leg of this pattern, prices are expected to rise from point D.
🟣 Bearish Gartley Pattern
A bearish Gartley pattern forms similarly to the bullish one but in reverse. The initial move from point X to point A should be downward. The next move from point A to point B is upward, followed by a downward move from point B to point C.
The final leg moves upward from point C to point D. This pattern appears as a W on charts, indicating that prices are likely to fall from point D after the final move.
By understanding and identifying Gartley patterns, traders can enhance their technical analysis and improve their decision-making in financial markets. These patterns, when correctly identified, offer significant insights into potential market reversals and continuation patterns.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
Harmonic Patterns Library [TradingFinder]🔵 Introduction
Harmonic patterns blend geometric shapes with Fibonacci numbers, making these numbers fundamental to understanding the patterns.
One person who has done a lot of research on harmonic patterns is Scott Carney.Scott Carney's research on harmonic patterns in technical analysis focuses on precise price structures based on Fibonacci ratios to identify market reversals.
Key patterns include the Gartley, Bat, Butterfly, and Crab, each with specific alignment criteria. These patterns help traders anticipate potential market turning points and make informed trading decisions, enhancing the predictability of technical analysis.
🟣 Understanding 5-Point Harmonic Patterns
In the current library version, you can easily draw and customize most XABCD patterns. These patterns often form M or W shapes, or a combination of both. By calculating the Fibonacci ratios between key points, you can estimate potential price movements.
All five-point patterns share a similar structure, differing only in line lengths and Fibonacci ratios. Learning one pattern simplifies understanding others.
🟣 Exploring the Gartley Pattern
The Gartley pattern appears in both bullish (M shape) and bearish (W shape) forms. In the bullish Gartley, point X is below point D, and point A surpasses point C. Point D marks the start of a strong upward trend, making it an optimal point to place a buy order.
The bearish Gartley mirrors the bullish pattern with inverted Fibonacci ratios. In this scenario, point D indicates the start of a significant price drop. Traders can place sell orders at this point and buy at lower prices for profit in two-way markets.
🟣 Analyzing the Butterfly Pattern
The Butterfly pattern also manifests in bullish (M shape) and bearish (W shape) forms. It resembles the Gartley pattern but with point D lower than point X in the bullish version.
The Butterfly pattern involves deeper price corrections than the Gartley, leading to more significant price fluctuations. Point D in the bullish Butterfly indicates the beginning of a sharp price rise, making it an entry point for buy orders.
The bearish Butterfly has inverted Fibonacci ratios, with point D marking the start of a sharp price decline, ideal for sell orders followed by buying at lower prices in two-way markets.
🟣 Insights into the Bat Pattern
The Bat pattern, appearing in bullish (M shape) and bearish (W shape) forms, is one of the most precise harmonic patterns. It closely resembles the Butterfly and Gartley patterns, differing mainly in Fibonacci levels.
The bearish Bat pattern shares the Fibonacci ratios with the bullish Bat, with an inverted structure. Point D in the bearish Bat marks the start of a significant price drop, suitable for sell orders followed by buying at lower prices for profit.
🟣 The Crab Pattern Explained
The Crab pattern, found in both bullish (M shape) and bearish (W shape) forms, is highly favored by analysts. Discovered in 2000, the Crab pattern features a larger final wave correction compared to other harmonic patterns.
The bearish Crab shares Fibonacci ratios with the bullish version but in an inverted form. Point D in the bearish Crab signifies the start of a sharp price decline, making it an ideal point for sell orders followed by buying at lower prices for profitable trades.
🟣 Understanding the Shark Pattern
The Shark pattern appears in bullish (M shape) and bearish (W shape) forms. It differs from previous patterns as point C in the bullish Shark surpasses point A, with unique level measurements.
The bearish Shark pattern mirrors the Fibonacci ratios of the bullish Shark but is inverted. Point D in the bearish Shark indicates the start of a sharp price drop, ideal for placing sell orders and buying at lower prices to capitalize on the pattern.
🟣 The Cypher Pattern Overview
The Cypher pattern is another that appears in both bullish (M shape) and bearish (W shape) forms. It resembles the Shark pattern, with point C in the bullish Cypher extending beyond point A, and point D forming within the XA line.
The bearish Cypher shares the Fibonacci ratios with the bullish Cypher but in an inverted structure. Point D in the bearish Cypher marks the start of a significant price drop, perfect for sell orders followed by buying at lower prices.
🟣 Introducing the Nen-Star Pattern
The Nen-Star pattern appears in both bullish (M shape) and bearish (W shape) forms. In the bullish Nen-Star, point C extends beyond point A, and point D, the final point, forms outside the XA line, making CD the longest wave.
The bearish Nen-Star has inverted Fibonacci ratios, with point D indicating the start of a significant price drop. Traders can place sell orders at point D and buy at lower prices to profit from this pattern in two-way markets.
The 5-point harmonic patterns, commonly referred to as XABCD patterns, are specific geometric price structures identified in financial markets. These patterns are used by traders to predict potential price movements based on historical price data and Fibonacci retracement levels.
Here are the main 5-point harmonic patterns :
Gartley Pattern
Anti-Gartley Pattern
Bat Pattern
Anti-Bat Pattern
Alternate Bat Pattern
Butterfly Pattern
Anti-Butterfly Pattern
Crab Pattern
Anti-Crab Pattern
Deep Crab Pattern
Shark Pattern
Anti- Shark Pattern
Anti Alternate Shark Pattern
Cypher Pattern
Anti-Cypher Pattern
🔵 How to Use
To add "Order Block Refiner Library", you must first add the following code to your script.
import TFlab/Harmonic_Chart_Pattern_Library_TradingFinder/1 as HP
🟣 Parameters
XABCD(Name, Type, Show, Color, LineWidth, LabelSize, ShVF, FLPC, FLPCPeriod, Pivot, ABXAmin, ABXAmax, BCABmin, BCABmax, CDBCmin, CDBCmax, CDXAmin, CDXAmax) =>
Parameters:
Name (string)
Type (string)
Show (bool)
Color (color)
LineWidth (int)
LabelSize (string)
ShVF (bool)
FLPC (bool)
FLPCPeriod (int)
Pivot (int)
ABXAmin (float)
ABXAmax (float)
BCABmin (float)
BCABmax (float)
CDBCmin (float)
CDBCmax (float)
CDXAmin (float)
CDXAmax (float)
🟣 Genaral Parameters
Name : The name of the pattern.
Type: Enter "Bullish" to draw a Bullish pattern and "Bearish" to draw an Bearish pattern.
Show : Enter "true" to display the template and "false" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Logical Parameters
ShVF : If this parameter is on "true" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "false" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
FLPC : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the lateest pattern seeing and a sharp reduction in reward to risk.
FLPCPeriod : Using this parameter you can determine that the last pivot is based on Pivot period.
Pivot : You need to determine the period of the zigzag indicator. This factor is the most important parameter in pattern recognition.
ABXAmin : Minimum retracement of "AB" line compared to "XA" line.
ABXAmax : Maximum retracement of "AB" line compared to "XA" line.
BCABmin : Minimum retracement of "BC" line compared to "AB" line.
BCABmax : Maximum retracement of "BC" line compared to "AB" line.
CDBCmin : Minimum retracement of "CD" line compared to "BC" line.
CDBCmax : Maximum retracement of "CD" line compared to "BC" line.
CDXAmin : Minimum retracement of "CD" line compared to "XA" line.
CDXAmax : Maximum retracement of "CD" line compared to "XA" line.
🟣 Function Outputs
This library has two outputs. The first output is related to the alert of the formation of a new pattern. And the second output is related to the formation of the candlestick pattern and you can draw it using the "plotshape" tool.
Candle Confirmation Logic :
Example :
import TFlab/Harmonic_Chart_Pattern_Library_TradingFinder/1 as HP
PP = input.int(3, 'ZigZag Pivot Period')
ShowBull = input.bool(true, 'Show Bullish Pattern')
ShowBear = input.bool(true, 'Show Bearish Pattern')
ColorBull = input.color(#0609bb, 'Color Bullish Pattern')
ColorBear = input.color(#0609bb, 'Color Bearish Pattern')
LineWidth = input.int(1 , 'Width Line')
LabelSize = input.string(size.small , 'Label size' , options = )
ShVF = input.bool(false , 'Show Valid Format')
FLPC = input.bool(false , 'Show Formation Last Pivot Confirm')
FLPCPeriod =input.int(2, 'Period of Formation Last Pivot')
//Call function
= HP.XABCD('Bullish Bat', 'Bullish', ShowBull, ColorBull , LineWidth, LabelSize ,ShVF, FLPC, FLPCPeriod, PP, 0.382, 0.50, 0.382, 0.886, 1.618, 2.618, 0.85, 0.9)
= HP.XABCD('Bearish Bat', 'Bearish', ShowBear, ColorBear , LineWidth, LabelSize ,ShVF, FLPC, FLPCPeriod, PP, 0.382, 0.50, 0.382, 0.886, 1.618, 2.618, 0.85, 0.9)
//Alert
if BearAlert
alert('Bearish Harmonic')
if BullAlert
alert('Bulish Harmonic')
//CandleStick Confirm
plotshape(BearCandleConfirm, style = shape.arrowdown, color = color.red)
plotshape(BullCandleConfirm, style = shape.arrowup, color = color.green, location = location.belowbar )
Fourier Adjusted Volume Zone Oscillator [BackQuant]Fourier Adjusted Volume Zone Oscillator
Welcome to BackQuant's FSVZO, Primarily we decided to combine the Fourier analysis to a leading indicator concept. Since in concept it can be beneficial.
We also decided to add in the momentum velocity indicator as a point of confluence.
Which will be discussed later in how it can be used in a trading system. For now onto the boring stuff, please read all of this and enjoy!
Fourier ? What and Why:
Fourier transforms are a mathematical technique used for transforming signals between time and frequency domains. In the context of financial markets, this allows analysts to deconstruct price movements into constituent sinusoidal waves. By isolating these waves, traders can identify the dominant market cycles and trends hidden within the 'noise' of short-term price fluctuations.
Empirical Evidence and Benefits:
Cycle Identification: Empirical studies have shown that markets exhibit cyclical behaviors due to various economic, geopolitical, and psychological factors. Fourier filtering helps in pinpointing these cycles, even in seemingly random market movements.
Trend Detection: By highlighting dominant frequencies, traders can more accurately determine the prevailing trend direction, aiding in trend-following or contrarian strategies.
Volatility Clarity: Filtering out noise enhances the visibility of true market volatility, crucial for risk management and strategy adjustment.
Why the Volume Zone Oscillator (VZO) and Origins + Advantages:
The VZO was developed by Walid Khalil and David Steckler and introduced in the "Stocks & Commodities" magazine in 2009. It integrates volume with price movements to gauge the flow of buying and selling pressure. Unlike traditional volume indicators that solely quantify trading volume, the VZO interprets volume's impact on price direction, offering insights into the strength or weakness of a price trend.
Empirical Evidence and Benefits:
Market Sentiment: Volume is a key indicator of market sentiment. High volume accompanying price movements indicates strong sentiment, whereas low volume suggests a lack of conviction. The VZO makes this analysis quantifiable.
Overbought/Oversold Conditions: By quantifying where the current volume-weighted price is within its range, the VZO helps identify potential reversals, providing actionable signals for entering or exiting trades.
Trend Confirmation: The VZO's ability to confirm price trends with volume adds an extra layer of validation to trading signals, reducing the likelihood of false breakouts or breakdowns.
Why we Decided to Combine Them
The integration of Fourier filtering with the VZO offers a comprehensive view of the market by combining the geometric clarity of price movements with the psychological insights provided by volume analysis. This synergy allows for a more nuanced understanding of market dynamics.
Enhanced Signal Accuracy: The combination reduces the chances of false signals. Fourier filtering's trend and cycle identification, combined with the VZO's volume-based confirmation, can significantly enhance trading decision accuracy.
Market Turns and Continuations: Fourier analysis can indicate potential turning points or continuation patterns, which, when confirmed with volume analysis through the VZO, provides a robust signal for traders to act upon.
Adaptability: Both tools adapt well to various market conditions, making this combination versatile across different trading instruments and timeframes.
Empirical Evidence:
While specific empirical studies directly analyzing the combined effectiveness of Fourier filtering and VZO might be scarce, the foundational research supporting each method individually provides strong evidence of their validity. Academic and practical applications in financial markets have demonstrated the value of both Fourier analysis for cycle detection and volume-based oscillators like the VZO for assessing market strength and sentiment. Together, they offer a compelling toolkit for traders aiming to refine their market analysis and strategy execution.
USER INPUTS
Momentum Velocity Group
Show Confluence Momentum Velocity?: This toggle allows users to decide whether they want to display the momentum velocity indicator on their chart. It's designed to show the momentum of price movements, potentially indicating acceleration or deceleration in price trends.
Calculation Source: This setting lets users select the price data used for calculating the momentum velocity. Common options include the close, open, high, low, or an average of these prices. The choice depends on what aspect of price action the trader wishes to analyze.
Lookback Period: Determines the number of bars used to calculate the momentum. A longer period may smooth out the indicator, reducing sensitivity to recent price changes, while a shorter period may make the indicator more responsive to new information.
Use Adaptive Filtering?: Enables the use of adaptive filtering for the momentum calculation. This feature adjusts the indicator's sensitivity based on recent market volatility, potentially improving the indicator's responsiveness to market changes.
Adaptive Lookback Period: Specifies the period for the adaptive filter. This setting fine-tunes how rapidly the filter adjusts to changes in market conditions.
FSVZO Group
Show FSVZO?: This input controls whether the Fourier Smoothed Volume Zone Oscillator is displayed on the chart. It's the main feature of the script, combining Fourier analysis with volume data to provide insights into market dynamics.
Calculation Source for FSVZO: Similar to the momentum velocity calculation source, this setting allows users to choose the price data (close, open, high, low, or an average) that will be used for FSVZO calculations.
Calculation Period: Defines the length of the window for Fourier analysis and VZO calculation. This period can affect the sensitivity and smoothing of the indicator.
Show FSVZO Band Filler? (Ribbon): When enabled, this feature displays a filled area or ribbon on the chart, making it easier to visualize the oscillator's movement and trends.
Show FSVZO Moving Average (Ema)?: This toggle allows the display of an Exponential Moving Average (EMA) of the FSVZO, which can help smooth out its movements and provide a clearer trend direction.
MA Period: Specifies the length of the moving average applied to the FSVZO. Adjusting this period can affect the smoothness and lag of the trend indication.
Smooth VZO (Reduces noise, but increases its accuracy): Enables smoothing of the Volume Zone Oscillator to reduce noise and potentially increase the accuracy of its signals.
Smooth Period: Defines the smoothing period for the VZO, affecting how much noise reduction is applied.
UI Settings Group
Show Static Overbought and Oversold Levels?: Enables the display of predetermined levels that indicate overbought or oversold conditions, helping traders identify potential reversal points.
Show Adaptive Levels?: Allows the use of dynamic, market-condition-adjusted levels for overbought and oversold indicators, offering a more nuanced view of market extremes.
Show Detected Trend Shifts?: This setting controls the display of markers or indications when the script detects potential shifts in market trends, based on the oscillator's movements.
Trendshift Shader?: When enabled, this feature visually highlights areas on the chart where trend shifts are detected, improving the visibility of these important signals.
DIVERGENCES Group
Show Detected Divergences?: This option toggles the display of divergences between price action and the oscillator, which can signal potential reversals.
Use extra filtering when detecting divergences?: Enables additional criteria for identifying divergences, potentially improving the reliability of these signals.
Paint bars when Divergences are detected?: This feature changes the color of price bars when divergences are identified, making them stand out on the chart.
How to calculate divergences: Allows users to choose the method for calculating divergences, affecting the sensitivity and types of divergences that are identified.
Only calculate divergences on values absolutely greater than this: Sets a threshold for divergence calculation, focusing on more significant divergences and reducing noise.
Each input is designed to offer flexibility and control to the user, enabling a highly customizable experience tailored to individual trading strategies and market conditions.
How Can it Be Used in a Trading System
There are a few key ways it can be used, the main way is going to be the trend of the band/ ribbon. As that denotes the primary trend. Thus, if it were to trend up and reach the static overbought zone, there is a high probability of a reversion. This will also work well when it is in an extreme zone and there is a divergence.
Other ways of using it, it taking profit when there is an extreme background hue. Or potentially starting to get ready to buy on a higher timeframe if there is a extreme oversold background hue.
For more clear trends out of the FSVZO you may choose to use the moving average crossing the midline in confluence with the momentum velocity.
Please use with caution, nothing BackQuant or associated entities do are financial advice. please do not use this or any other indicator alone, they are not meant to be used in isolation.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
This is using the Midline Crossover of the FSVZO:
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
TASC 2024.04 The Ultimate Smoother█ OVERVIEW
This script presents an implementation of the digital smoothing filter introduced by John Ehlers in his article "The Ultimate Smoother" from the April 2024 edition of TASC's Traders' Tips .
█ CONCEPTS
The UltimateSmoother preserves low-frequency swings in the input time series while attenuating high-frequency variations and noise. The defining input parameter of the UltimateSmoother is the critical period , which represents the minimum wavelength (highest frequency) in the filter's pass band. In other words, the filter attenuates or removes the amplitudes of oscillations at shorter periods than the critical period.
According to Ehlers, one primary advantage of the UltimateSmoother is that it maintains zero lag in its pass band and minimal lag in its transition band, distinguishing it from other conventional digital filters (e.g., moving averages ). One can apply this smoother to various input data series, including other indicators.
█ CALCULATIONS
Ehlers derived the UltimateSmoother using inspiration from the design principles he learned from his experience with analog filters , as described in the original publication. On a technical level, the UltimateSmoother's unique response involves subtracting a high-pass response from an all-pass response . At very low frequencies (lengthy periods), where the high-pass filter response has virtually no amplitude, the subtraction yields a frequency and phase response practically equivalent to the input data. At other frequencies, the subtraction achieves filtration through cancellation due to the close similarities in response between the high-pass filter and the input data.
Rocket RSI from John EhlersWhat is Rocket RSI
Welles Wilder's original description of the relative strength index (RSI) in his 1978 New Concepts In Technical Trading Systems specified a calculation period of 14 days. This requirement led him on a 40-year quest to find the right length of data for calculating indicators and trading strategy rules. Many technicians touched on RSI and explained its applications. In this study we will obtain a more flexible and easier to interpret formulation (of the indicator). We will also estimate the algorithm to properly handle a statistical approach to technical analysis. Start with RSI Here is the original definition of the RSI indicator:
RSI = 100 - 100 / (1 + RS)
RS = Average gain from downtime over the specified time period / Average loss from downtime over the specified time period My first observation is that the factor of 100 is insignificant. Second, there is no need for averages because we take the ratio of closes (CU) to closes (CD) and if we accumulate the wins and losses independently, the averages emerge. Therefore We will only accumulate CU and CD. He can then write the RSI equation as:
RSI = 1 – 1 / (1 + CU / CD)
If he use a little algebra to put everything on a common denominator on the right side of the equation, the indicator equation becomes:
RSI = CU / (CU + CD)
In this formulation, if CU accumulation is zero, the RSI value is zero, and if CD accumulation is zero, the RSI value is 1. If you reduce the price action to its primitive level as a sine wave, it is easy to see that this RSI only has CU going from valley to peak and only CD going from peak to valley. This RSI follows the shape of the sine wave between these two limits. However, the sine wave oscillates between -1 and +1, not between 0 and +1. If we multiply the above equation by 2 and then subtract 1, we can make the RSI have the same swing limits as the sine wave. the product is as follows:
RSI = 2*CU / (CU + CD) – 1
Again, using a little algebra to put the right-hand side of the equation on a common denominator, the equation develops like this:
MyRSI = (CU – CD) / (CU + CD)
Again, the vertical scale of the RocketRSI indicator is in standard deviations. For example, -2 means it is two standard deviations below the mean. Since exceeding two standard deviations in the Gaussian probability distribution occurs in only 2.4% of the results
Because we are using the momentum of the dominant cycle period, the spike where the indicator falls below -2 provides a surgically precise timing signal to enter a long position. Similarly, exceeding the +2 standard deviation level is a timing signal to exit a long position or return to a short position. Therefore using the RocketRSI indicator is relatively intuitive. The only concern is whether a dominant cycle is present in the data, setting the indicator to half the dominant cycle period, and whether smoothing causes lag.
DETERMINING CYCLICAL TURNING POINTS
When you insert the chart you see an example of what the RocketRSI indicator looks like. Here you see that RocketRSI precisely displays cyclical turning points as statistical events. Cator can be applied. I used RS Length 10 because according to Ehlers, stocks and stock indexes usually have a more or less monthly cycle (about 20 bars). A cursory examination of Figure 2 shows that negative increases in the indicator correspond to excellent buying opportunities, while positive increases correspond to excellent selling opportunities. Exceeding +/- 2 on the indicator scale indicates that a cyclical reversal is a high probability event.
Frankie Candles Essentials [LuxAlgo]The Frankie Candles Essentials toolkit is a collection of essential features used by trader Frankie Candles. This toolkit focuses on the relationship between MTF oscillator divergences and volume profiles, allowing the detection of different kinds of reversals. Retracements from the "Golden Pocket" features are also included.
🔶 USAGE
When adding the script to your chart you will be prompted to select the calculation interval of the "Top-Down Volume Profile", simply click on your chart where you want the starting and ending points of the calculation interval.
🔹 Top-Down Volume Profile
The Top-Down Volume Profile is a classical fixed-range volume profile and highlights the amount of traded volume within equidistant price areas. The amount of areas is determined by the "Rows" setting (Note that the volume profile can use up to 250 rows).
The value area (VA) highlights the area where the specified percentage of the total volume is traded, that is the area with the most recorded trading activity relative to a selected percentage.
Finally, the point of control (POC) highlights the price level with the most trading activity.
🔹 Divergences
Users can highlight divergences made by oscillators on their charts. The toolkit includes three indicators such as RSI, MFI, and WaveTrend with MTF support, users can also select external oscillators but these will not support MTF divergence detection.
Once the Top-Down Volume Profile is set historical divergences will be affected by its value area (VA), with bearish divergences located above the upper VA or bullish divergences located under the lower VA being highlighted with a sauce can, a signature display stel of Frankie Candles.
Users can also filter out divergences based on the point of control (POC) using the "Filter According To POC" setting, with bearish divergences located below the POC or bullish divergences located above it being filtered out.
Do note that divergences are detected N bars after their occurrence, where N is the divergence lookback setting
🔹 Golden Pockets
The script includes an MTF Golden Pockets feature displaying Fibonacci retracements on the user chart, these can be used to identify optimal trade entries (OTE) or serve as support/resistance levels.
Golden Pockets are based on maximum/minimum prices in a window determined by the "Golden Pocket Lookback" setting, using longer-term lookbacks will return longer-term divergences, this will also be the case when using HTF golden pockets.
🔶 SETTINGS
🔹 Candle Coloring
Candle Coloring: Determine the candle coloring method used by the indicator. "Simple" will color the candles based on the candle body, while "Golden Pocket" will color candles using a gradient based on the golden pocket rolling maximum/minimum.
🔹 Top-Down Volume Profile
Top-Down Volume Profile: Enable Top-Down Volume Profile.
Rows: Amount of rows used by the Top-Down Volume Profile.
Width (%): Controls the histogram bar width as a percentage of the calculation window specified by the user set anchors.
Value Area (%): Area where the specified percentage of total volume is traded.
Extend To The Right: Extends the calculation window from the first anchor to the most recent bar.
🔹 MTF Divergences
Oscillator: Determines the oscillator and its length used for divergence detection. Options include "RSI", "MFI", "WaveTrend" and "External".
Divergence Lookback: Lookback period used to track oscillator tops/bottoms. Divergence will be detected n bars after an oscillator top/bottom, where n is the specified lookback period.
External Oscillator: External oscillator used for divergence detection if "External" is selected in the "Oscillator" dropdown menu, incompatible with Divergence Timeframe setting.
Divergence Timeframe: Timeframe used to calculate the selected oscillator and detect divergences. Incompatible with external oscillators.
Divergence From: Determines if price tops/bottoms evaluated to detect divergences are based on wicks (high/low price) or candle body (closing/opening price).
Filter According To POC: Filter displayed divergences based on the Top-Down Volume Profile POC.
Show Hidden: Display hidden divergences.
Show Sauce: Display canned source emoji on specific divergences.
🔹 Golden Pockets
Golden Pocket Lookback: Period used to calculate golden pockets, options include "Short-Term", "Medium-Term", and "Long-Term".
Extend: Extend Golden Pockets lines from the most recent bar by the specified amount of bars.
Golden Pocket Timeframe: Timeframe used to calculate the Golden Pockets.
Retracements: Display specific retracements, users can also control the ratio from the provided numerical setting.
Show Coordinate Line: Display a line connecting the top/bottom used to calculate the Golden Pockets.
Invert: Invert top/bottom for the Golden Pockets calculation.
ATR & RSI ConfluenceIntroducing the "Confluence Strategy": Your Go-To for Savvy Trading!
1.ATR Trailing Stop - Your Market Volatility Compass:
What's ATR? Think of it as the pulse of market excitement. It measures how wildly prices are swinging.
ATR Trailing Stop: This is where the magic happens. Picture it as a dynamic line that dances with the price. When the market climbs, it climbs; when the market drops, it drops. It's your trend-tailored safety net, ensuring you ride the waves but bail before the tide turns!
2. RSI - The Market's Mood Ring:
RSI Lowdown: It's like a speedometer for price moves. Ranges from 0 to 100 – the closer to 100, the more it hints that prices might take a breather (overbought), and the closer to 0, the more it suggests prices might jump back up (oversold).
RSI Filter in Action: We're flipping the script here. No selling if the market's not in the oversold zone, and no buying if it's not feeling overbought. We're after that sweet momentum!
3. HEMA and Hull EMA - Your Trend Trackers:
HEMA & Hull EMA: These aren't your grandpa's moving averages. They're faster, sharper, and ready to catch the latest price trends. Like a hawk eyeing its prey, they zero in on the latest market moves.
4. Buy/Sell Signals - Where the Thrill Happens:
Buying (LONG): It's go-time when:
The price is strutting above HEMA.
RSI is strutting its stuff above the overbought catwalk.
ATR trailing stop is nodding along with an uptrend.
And hey, you're not already riding the long wave.
Selling (SHORT): You make your move when:
The price is dipping below HEMA.
RSI is lurking below the oversold alley.
ATR trailing stop is signaling a downhill.
And you're not already surfing the short tide.
How to Rock this Strategy:
New traders, tune in! This strategy's like a symphony of indicators – trend (HEMA and Hull EMA), momentum (RSI), and market volatility (ATR) – all harmonizing to cue your entry points. It's about syncing with the market's rhythm to up your trade game.
Absolutely, let's fine-tune it to a snappier beat:
Rock Your Trades with "Confluence Strategy," MACD & Volume Oscillator!
🔥 MACD: Set at 72/144 for a Smooth Groove:
Think of MACD (72/144 settings) as your market groove detector. It's calibrated to catch longer-term trends and momentum, perfect for harmonizing with our "Confluence Strategy." This setting helps smooth out market noise, giving you a clearer picture of the trend.
🎛️ Volume Oscillator: Your 0% Beat Check:
The Volume Oscillator is your go-to for checking the market's pulse. It's simple: look for it to be above 0% when considering a trade. This indicates that the market is vibing with enough volume to support your move, adding an extra layer of confidence to your strategy.
🚀 Trading Symphony:
Together, "Confluence Strategy," MACD (72/144), and a positive Volume Oscillator create a powerful trio. They align your trades with the market's rhythm and volume energy, setting you up for potentially harmonious and profitable trades.
Remember, the best tunes are played with practice. Test this setup, feel its rhythm, and when you're ready, let your trades sing on the market charts!
Gorb DNAIntroduction:
Gorb DNA is a versatile indicator using classic technical analysis components such as moving averages, stochastic oscillator, and histogram blending call/put flow analysis with our proprietary DNA algorithm. This indicator is designed to provide traders with useful market direction, volume, and momentum change visual cues.
Overview:
The Gorb DNA Indicator isn't just another momentum tool; it's a complex integration of innovative market analysis techniques.
By combining moving averages, stochastic oscillator, with proprietary algorithms, this indicator offers a multi-layered view of market trends, by merging call/put flow analysis with traditional market flow assessment.
This is designed for all kinds of traders, using a simple method to deliver visual changes in flow, volume, and momentum.
Core Features: Call/Put Flow & DNA
Call/Put Flow Analysis: This component examines the strength of market buying and selling pressures. It analyzes call (buying) and put (selling) flows using price range movements, providing insights smoothed over a defined period for analysis of market sentiment.
DNA Algorithm: A central feature of this indicator, the DNA algorithm utilizes a specialized moving average and oscillator technique to discern market trends. It presents an innovative approach, calculating the difference between bullish and bearish indicators to offer a detailed analysis of market momentum.
Visualization and Color Coding: The indicator employs a color-coded system for ease of interpretation, with distinct colors indicating different market conditions: white for upward/bullish movement and purple for downward/bearish movement. This feature translating complex data into a visual format that is simple to understand.
How Call/Put Flow Works:
Moving averages are used with volume and candlestick highs/lows over a specific range to help determine the overall flow. It then plots a colored line area that looks like a colored wave using just two colors to provide traders with a visual of the current market flow. This can help traders identify changes in sentiment with simple color cues.
How DNA Works:
A stochastic oscillator is used to measure the current price level relative to its price over a specific range period to analyze the momentum for the two DNA strands. Additionally moving averages are used to confirm trend and identify any divergences relative to the momentum. This is then plotted as two lines(DNA Strands) following the same color scheme as Call/Put Flow. When momentum is picking up in a specific direction, the lines will change colors and cross each other, this gives a visual of momentum now being fully on one side until it starts to change colors and flip that direction.
Custom Algorithm Elements:
Gorb DNA isn't just common tools combined into one indicator. It includes proprietary algorithmic elements tailored to enhance technical analysis and timing. These are the reasons what set this indicator apart from common momentum, sentiment, and volume methods.
We recommend experimenting with these features to choose what best suits your trading style.
Settings:
All skill-level friendly presets, easy to enable features with one-click
Call Flow: allows the user to plot a colored area that looks like waves showing increases/decreases in bullish volume (not to be followed blindly)
Put Flow: allows the user to plot a colored area that looks like waves showing increases/decreases in bearish volume (not to be followed blindly)
DNA Strand 1: allows the user to plot one of the algorithm lines to visualize momentum direction (not to be followed blindly)
DNA Strand 2: allows the user to plot one of the algorithm lines to visualize momentum direction (not to be followed blindly)
DNA Strength: allows the user to a histogram displaying momentum volume bars in the background
Flow Threshold: allows users to plot a dotted line to identify when call/put flow is now above average flow range
All colors are changeable for the user to customize to their liking
Call/Put Flow & DNA Demonstration
In the image below, we can see a basic illustration of how these core features function.
As stated above, call/put flow carefully monitors changes in moving averages, volume, and price action. If the market sentiment is shifting one direction, the call/put flow will plot those changes. If market is bullish, call flow should rise and put flow should decrease. The same goes for the opposite if the market is bearish.
As is the same for the DNA strands, if markets momentum is becoming bullish, the lines will change color and then cross to signify a change in momentum and the call flow in the background should match this change. This creates two layers of confluence in an easy understandable visual method.
Using Call/Put Flow
In the image below, we disabled everything but call flow to demonstrate usage.
On the left side of the image, you can see call flow matched price increase, then started to decline. This created a flow divergence, identifying a possible change in price action coming. This happened once flow crossed back below the threshold line and price then beginning to move lower. On the right side of the image, you can see call flow rising and price increasing. This is a good confluence showing there is bullish sentiment building in the market.
In this next image, we disabled everything but put flow to demonstrate usage.
The left side shows a put flow divergence. Put flow is slowly rising just like price is, this can help a trader identify a possible shift in sentiment coming. And on the right side, we have put flow rising above the threshold line and price beginning to decrease. Now we have confluence of bearish sentiment building in the market.
The image below shows only call & put flow enabled, to display what the above two images combined look like.
As you can see in the image above, these flow visuals help identify the underlying market sentiment. And when they cross, it leads to a change in price action in the direction of the sentiment over the threshold line.
Using DNA Strands
The image below has just DNA strands enabled to demonstrate usage.
On the left is a box highlighting bearish momentum cross. In the circles is the change in momentum shifting from bullish to bearish. The move gets stronger as the DNA strands get closer to cross over signifying strength in the move. On the right side is a box highlighting a bullish momentum cross. The circles again, show the change from bearish to bullish momentum. Like previously said, the move gets stronger as the DNA strands get closer to crossing over, signifying strength in that direction.
The next image shows call/put flow and DNA strands enabled for a full complete picture.
The circles labeled (1) are showing the change in momentum from bullish to bearish. Circle (2) shows call flow decreasing and put flow rising above calls. Finally the arrow points to the DNA strands crossing over and put flow rising above the threshold line. This is 3 levels of easy visual confluence showing a change in sentiment, volume, and momentum to the downside.
The next image will be showing the bullish side with call/put flow and DNA strands enabled.
The circles that are labeled (1), show the visual change in momentum on the DNA strands from bearish to bullish. Circle (2) is the crossing of call flow over put flow and the arrow points to the DNA strands crossing over and call flow above the threshold line. Three simple to use visual confluences to identify change in sentiment, volume, and momentum to the upside.
Conclusion:
Our goal is to provide a unique, yet simple approach to market sentiment & momentum analysis. It's a tool developed for traders seeking user-friendly and easy to use tools that provide easy visual insights of market dynamics. We believe in simplicity, effectiveness, and creating tools to support decision making for all traders.
How to get access:
You can see the Author's instructions to get access to this indicator
RISK DISCLAIMER
All content, tools, scripts & education provided by Gorb Algo are for informational & educational purposes only. Trading is risky and most lose their money, past performance does not guarantee future results.
ALMA Smoothed Gaussian Moving AverageThis indicator is an altered version of the Gaussian Moving Average (GMA) (Credit to author: © LeafAlgo ). The GMA applies weights to the prices, giving more importance to the values closer to the current period and gradually diminishing the significance of older prices. The ALMA Smoothed Gaussian Moving Average (ASGMA) applies an ALMA smoothing to its price data to minimize lag and provide a more accurate representation of the underlying trend by dynamically adapting to changing market conditions. The Arnaud Legoux Moving Average (ALMA) is a specialized smoothing technique that adjusts the weights of the moving average based on market volatility. Its calculation uses Wavelet Transform techniques which enables this type of smoothing to capture both high-frequency and low-frequency components of a signal or data. The rationale for this mashup between ALMA and Gaussian filtering is to smooth the moving average line over the smoothed price data and produce stronger trend signals.
ASGMA serves as a trend-following indicator, identifying both bullish and bearish trends. It provides buy and sell signals indicated by "B" and "S" labels plotted alongside the price data. Additionally, the ASGMA's Exponential Moving Average (EMA) line alternates between green and red, indicating bullish and bearish momentum, respectively.
The ASGMA also incorporates two popular momentum indicators, the Relative Strength Index (RSI) and the Chande Momentum Oscillator (CMO). The inclusion of these indicators aims to enhance trend identification and reversal signals. For a strong buy signal, all three indicators (RSI, CMO, and ASGMA) must indicate bullish conditions, resulting in a vertical green line. Conversely, a vertical red line is plotted when all indicators indicate bearish conditions, representing a strong sell signal.
The ASGMA, with its unique combination of smoothing techniques and indicator amalgamation, provides traders and investors with powerful analytical tools. It can be applied in trend-following strategies using the regular buy and sell signals generated by labels and the EMA line. Alternatively, the vertical lines offer stronger buy and sell signals. These features aid in identifying potential entry and exit points, thereby enhancing trading decisions and market analysis. However, it is important to remember that the future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
