Oscillators
Adaptive RSI [BOSWaves]Adaptive RSI - Percentile-Based Momentum Detection with Dynamic Regime Thresholds
Overview
Adaptive RSI is a self-calibrating momentum oscillator that identifies overbought and oversold conditions through historical percentile analysis, constructing dynamic threshold boundaries that adjust to evolving market volatility and momentum characteristics.
Instead of relying on traditional fixed RSI levels (30/70 or 20/80) or static overbought/oversold zones, regime detection, threshold placement, and signal generation are determined through rolling percentile calculation, smoothed momentum measurement, and divergence pattern recognition.
This creates adaptive boundaries that reflect actual momentum distribution rather than arbitrary fixed levels - tightening during low-volatility consolidation periods, widening during trending environments, and incorporating divergence analysis to reveal momentum exhaustion or continuation patterns.
Momentum is therefore evaluated relative to its own historical context rather than universal fixed thresholds.
Conceptual Framework
Adaptive RSI is founded on the principle that meaningful momentum extremes emerge relative to recent price behavior rather than at predetermined numerical levels.
Traditional RSI implementations identify overbought and oversold conditions using fixed thresholds that remain constant regardless of market regime, often generating premature signals in strong trends or missing reversals in range-bound markets. This framework replaces static threshold logic with percentile-driven adaptive boundaries informed by actual momentum distribution.
Three core principles guide the design:
Threshold placement should correspond to historical momentum percentiles, not fixed numerical levels.
Regime detection must adapt to current market volatility and momentum characteristics.
Divergence patterns reveal momentum exhaustion before price reversal becomes visible.
This shifts oscillator analysis from universal fixed levels into adaptive, context-aware regime boundaries.
Theoretical Foundation
The indicator combines smoothed RSI calculation, rolling percentile tracking, adaptive threshold construction, and multi-pattern divergence detection.
A Hull Moving Average (HMA) pre-smooths the price source to reduce noise before RSI computation, which then undergoes optional post-smoothing using configurable moving average types. Confirmed oscillator values populate a rolling historical buffer used for percentile calculation, establishing upper and lower thresholds that adapt to recent momentum distribution. Regime state persists until the oscillator crosses the opposing threshold, preventing whipsaw during consolidation. Pivot detection identifies swing highs and lows in both price and oscillator values, enabling regular divergence pattern recognition through comparative analysis.
Five internal systems operate in tandem:
Smoothed Momentum Engine : Computes HMA-preprocessed RSI with optional post-smoothing using multiple MA methodologies (SMA, EMA, HMA, WMA, DEMA, RMA, LINREG, TEMA).
Historical Buffer Management : Maintains a rolling array of confirmed oscillator values for percentile calculation with configurable lookback depth.
Percentile Threshold Calculation : Determines upper and lower boundaries by extracting specified percentile values from sorted historical distribution.
Persistent Regime Detection : Establishes bullish/bearish/neutral states based on threshold crossings with state persistence between signals.
Divergence Pattern Recognition : Identifies regular bullish and bearish divergences through synchronized pivot analysis of price and oscillator values with configurable range filtering.
This design allows momentum interpretation to adapt to market conditions rather than reacting mechanically to universal thresholds.
How It Works
Adaptive RSI evaluates momentum through a sequence of self-calibrating processes:
Source Pre-Smoothing: Input price undergoes 4-period HMA smoothing to reduce bar-to-bar noise before oscillator calculation.
RSI Calculation: Standard RSI computation applied to smoothed source over configurable length period.
Optional Post-Smoothing: Raw RSI value undergoes additional smoothing using selected MA type and length for cleaner regime detection.
Historical Buffer Population: Confirmed oscillator values accumulate in a rolling array with size limit determined by adaptive lookback parameter.
Percentile Threshold Extraction: Array sorts on each bar to calculate upper percentile (bullish threshold) and lower percentile (bearish threshold) values.
Regime State Persistence: Bullish regime activates when oscillator crosses above upper threshold, bearish regime activates when crossing below lower threshold, neutral regime persists until directional threshold breach.
Pivot Identification: Swing highs and lows detected in both oscillator and price using configurable left/right parameters.
Divergence Pattern Matching: Compares pivot relationships between price and oscillator within min/max bar distance constraints to identify regular bullish (price LL, oscillator HL) and bearish (price HH, oscillator LH) divergences.
Together, these elements form a continuously updating momentum framework anchored in statistical context.
Interpretation
Adaptive RSI should be interpreted as context-aware momentum boundaries:
Bullish Regime (Blue): Activated when oscillator crosses above upper percentile threshold, indicating momentum strength relative to recent distribution favors upside continuation.
Bearish Regime (Red): Established when oscillator crosses below lower percentile threshold, identifying momentum weakness relative to recent distribution favors downside continuation.
Upper Threshold Line (Blue)**: Dynamic resistance level calculated from upper percentile of historical oscillator distribution - adapts higher during trending markets, lower during ranging conditions.
Lower Threshold Line (Red): Dynamic support level calculated from lower percentile of historical oscillator distribution - adapts lower during downtrends, higher during consolidation.
Regime Fill: Gradient coloring between oscillator and baseline (50) visualizes current momentum intensity - stronger color indicates greater distance from neutral.
Extreme Bands (15/85): Upper and lower extreme zones with strength-modulated transparency reveal momentum extremity - darker shading during powerful moves, lighter during moderate momentum.
Divergence Lines: Connect price and oscillator pivots when divergence pattern detected, appearing on both price chart and oscillator pane for confluence identification.
Reversal Markers (โฆ): Diamond signals appear at 80+ (bearish extreme) and sub-15 (bullish extreme) levels, marking potential exhaustion zones independent of regime state.
Percentile context, divergence confirmation, and regime persistence outweigh isolated oscillator readings.
Signal Logic & Visual Cues
Adaptive RSI presents four primary interaction signals:
Regime Switch - Long : Oscillator crosses above upper percentile threshold after previously being in bearish or neutral regime, suggesting momentum strength shift favoring bullish continuation.
Regime Switch - Short : Oscillator crosses below lower percentile threshold after previously being in bullish or neutral regime, indicating momentum weakness shift favoring bearish continuation.
Regular Bullish Divergence (๐๐ฎ๐ฅ๐ฅ) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation.
Regular Bearish Divergence (๐๐๐๐ซ) : Price forms higher high while oscillator forms lower high, revealing negative momentum divergence during uptrends - often precedes reversal or correction.
Alert generation covers regime switches, threshold crossings, and divergence detection for systematic monitoring.
Strategy Integration
Adaptive RSI fits within momentum-informed and mean-reversion trading approaches:
Adaptive Regime Following : Use threshold crossings as primary trend inception signals where momentum confirms directional breakouts within statistical context.
Divergence-Based Reversals : Enter counter-trend positions when divergence patterns appear at extreme oscillator levels (above 80 or below 20) for high-probability mean-reversion setups.
Threshold-Aware Scaling : Recognize that tighter percentile spreads (e.g., 45/50) generate more signals suitable for ranging markets, while wider spreads (e.g., 30/70) filter for stronger trend confirmation.
Extreme Zone Confluence : Combine reversal markers (โฆ) with divergence signals for maximum-conviction exhaustion entries.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant momentum direction.
Smoothing Optimization : Increase smoothing length in choppy markets to reduce false signals, decrease in trending markets for faster response.
Technical Implementation Details
Core Engine : HMA-preprocessed RSI with configurable smoothing (SMA, HMA, EMA, WMA, DEMA, RMA, LINREG, TEMA)
Adaptive Model : Rolling percentile calculation over confirmed oscillator values with size-limited historical buffer
Threshold Construction : Linear interpolation percentile extraction from sorted distribution array
Regime Detection : State-persistent threshold crossing logic with confirmed bar validation
Divergence Engine : Pivot-based pattern matching with range filtering and duplicate prevention
Visualization : Gradient-filled regime zones, adaptive threshold lines, strength-modulated extreme bands, dual-pane divergence lines
Performance Profile : Optimized for real-time execution with efficient array management and minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure momentum detection for scalping and intraday reversals
15 - 60 min : Intraday regime identification with divergence-validated turning points
4H - Daily : Swing and position-level momentum analysis with macro divergence context
Suggested Baseline Configuration:
RSI Length : 18
Source : Close
Smooth Oscillator : Enabled
Smoothing Length : 20
Smoothing Type : SMA
Adaptive Lookback : 1000
Upper Percentile : 50
Lower Percentile : 45
Divergence Pivot Left : 15
Divergence Pivot Right : 15
Min Pivot Distance : 5
Max Pivot Distance : 60
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many whipsaw signals : Widen percentile spread (e.g., 40/60 instead of 45/50) to demand stronger momentum confirmation, or increase "Smoothing Length" to filter noise.
Missing legitimate regime changes : Tighten percentile spread (e.g., 48/52 instead of 45/50) for earlier detection, or decrease "Smoothing Length" for faster response.
Oscillator too choppy : Increase "Smoothing Length" for cleaner readings, or switch "Smoothing Type" to RMA/TEMA for heavier smoothing.
Thresholds not adapting properly : Reduce "Adaptive Lookback" to emphasize recent behavior (500-800 bars), or increase it for more stable thresholds (1500-2000 bars).
Too many divergence signals : Increase "Pivot Left/Right" values to demand stronger swing confirmation, or widen "Min Pivot Distance" to space out detections.
Missing significant divergences : Decrease "Pivot Left/Right" for faster pivot detection, or increase "Max Pivot Distance" to compare more distant swings.
Prefer different momentum sensitivity : Adjust "RSI Length" - lower values (10-14) for aggressive response, higher values (21-28) for smoother trend confirmation.
Divergences appearing too late : Reduce "Pivot Right" parameter to detect divergences closer to current price action.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with mean-reverting characteristics and consistent momentum cycles
Instruments where momentum extremes reliably precede reversals or consolidations
Ranging environments where percentile-based thresholds adapt to volatility contraction
Divergence-driven strategies targeting momentum exhaustion before price confirmation
Reduced Effectiveness:
Extremely strong trending markets where oscillator remains persistently extreme
Low-liquidity environments with erratic momentum readings
News-driven or gapped markets where momentum disconnects from price temporarily
Markets with regime shifts faster than adaptive lookback can recalibrate
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or traditional support/resistance
Threshold Respect : Trust signals that occur after clean threshold crossings with sustained momentum
Divergence Context : Prioritize divergences appearing at extreme oscillator levels (80+/15-) over those in neutral zones
Regime Awareness : Consider whether current market regime matches historical momentum patterns used for calibration
Multi-Pattern Confirmation : Seek divergence patterns coinciding with reversal markers or threshold rejections for maximum conviction
Disclaimer
Adaptive RSI is a professional-grade momentum and divergence analysis tool. It uses percentile-based threshold calculation that adapts to recent market behavior but cannot predict future regime shifts or guarantee reversal timing. Results depend on market conditions, parameter selection, lookback period appropriateness, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Regression Slope Oscillator [BigBeluga]๐ต OVERVIEW
The Regression Slope Oscillator is a trendโmomentum tool that applies multiple linear regression slope calculations over different lookback ranges, then averages them into a single oscillator line. This design helps traders visualize when price is extending beyond typical regression behavior, as well as when momentum is shifting up or down.
๐ต CONCEPTS
Regression Slope โ Measures the steepness and direction of price trends over a selected length.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
slope*-1
MultiโSample Averaging โ Instead of relying on one regression slope, the indicator loops through many lengths (from Min Range to Max Range with Step increments) and averages their slopes.
multiSlope(length)=>
// Get regression slope
slope = f_log_regression(close, length)
slopAvg.push(slope)
for i = minRange to maxRange by step
multiSlope(i)
Color Gradient โ The oscillator and candles are colored dynamically from oversold (orange) to overbought (aqua), based on slope extremes observed within the userโdefined Color Range.
Trend Oscillation โ When the oscillator rises, price trend is strengthening; when it falls, momentum weakens.
๐ต FEATURES
Calculates regression slopes across a userโdefined range (e.g., 10โ100 with steps of 5).
Averages all sampled slopes into a single oscillator line.
Dynamic coloring of oscillator and chart candles based on slope values.
Userโcontrolled Color Range :
High values (e.g., 50โ100) โ interpret as overbought vs oversold zones.
Low values (e.g., 2โ5) โ interpret as slope rising vs falling momentum shifts.
Dashboard table (topโright) displaying number of slope samples and current averaged slope value.
Candle coloring mode (optional) โ candles take on the oscillator gradient color for atโaโglance reading of trend bias.
Signal Line (SMA) โ A moving average of the slope oscillator used to identify momentum reversals.
Bullish Reversal Signal โ Triggered when the oscillator crosses above the signal line while below zero, indicating downside momentum exhaustion and potential trend recovery.
Bearish Reversal Signal โ Triggered when the oscillator crosses below the signal line while above zero, indicating upside momentum exhaustion and potential trend rollover.
Dual Placement Signals โ Reversal signals are plotted both:
On the oscillator pane (for momentum context)
On the price chart (for execution alignment)
Confirmation Logic โ Signals are only printed on confirmed bars to reduce repainting and false triggers.
๐ต HOW TO USE
Watch the oscillator cross above/below zero: signals shifts in regression slope direction.
Use the signal line crossovers near zero to identify early trend reversals.
Use high Color Range settings to identify potential overbought/oversold extremes in trend slope.
Use low Color Range settings for a faster, momentumโdriven color change that tracks slope rising/falling.
Candle coloring highlights shortโterm trend pressure in sync with the oscillator.
Combine reversal signals with structure, support/resistance, or volume for higherโprobability entries.
๐ต CONCLUSION
The Regression Slope Oscillator transforms raw regression slope data into a smooth, colorโcoded oscillator. By averaging across multiple regression lengths, it avoids the noise of singleโrange analysis while still capturing trend extensions and momentum shifts.
With the addition of signal line crossovers and confirmed reversal markers, the indicator now provides both trend context and actionable momentum signals within a single regression-based framework.
Multi-Factor ConsensusMFC (Market Field Coherence)
A Triumph of Complexity: The Fusion of Three Professional Engines to Visualize the Unified
Mind of the Market
โ OVERVIEW: BEYOND THE INDICATOR
This is not another lagging indicator. This is a command suite.
MFC (Market Field Coherence) is not a single tool, but a seamless integration of three professional-grade, independent analytical engines fused into a singular, awe-inspiring system. It's a masterwork of signal processing and applied mathematics designed to visualize the invisibleโthe collective, underlying state of the market.
It moves beyond the simplistic analysis of individual price bars to measure something far more profound: the degree of emergent coherence across an entire ensemble of market oscillators. While traditional tools see the market as a series of disconnected data points, MFC sees it as a dynamic, fluctuating field of forces. By deploying its three specialized engines, MFC identifies moments of critical transition when disparate, chaotic market inputs converge into a single, unified, and tradable state of being. It measures the very instant the "noise" becomes a "symphony," and generates signals only when all three engines are in unanimous agreement.
โ A TRINITY OF SYSTEMS: THREE INDICATORS IN ONE
MFC's unparalleled precision comes from its unique tripartite architecture. It is not a monolithic tool. It is a fusion of three distinct, professional-grade analytical engines, each performing a critical and independent function. Their synergy is what produces the high-quality, filtered signals and the profound analytical clarity.
ENGINE 1: The Quantum Coherence Engine
The heart of the system. This is a pure regime-detection indicator. Its sole purpose is to perform the heavy lifting of converting the oscillator ensemble into complex-plane phasors and calculating the two most critical metrics: the Coherence Index (CI) and the Dominant Phase . It constantly works to answer the primary question: " How unified is the market, and in which direction is it leaning? "
ENGINE 2: The Multi-Layer Confirmation Matrix
A high CI from the first engine is not enough. This second, independent engine acts as the ultimate quality filter. It is, in essence, a sophisticated confirmation indicator that runs two rigorous, non-negotiable checks: the Phase-Lock Detector (is the alignment tight enough?) and the Pairwise Entanglement Web (is the alignment broad-based and not a fluke?). This is a purely logical system designed to reject ambiguity, eliminate false positives, and validate the findings of the Coherence Engine. It answers the crucial follow-up question: " Is this detected coherence real, or is it a statistical ghost? "
ENGINE 3: The Advanced Visualization Suite
Raw data is meaningless without interpretation. This third engine is a full-fledged visual indicator in its own right, dedicated to translating the abstract mathematics from the other two engines into an intuitive, multi-dimensional language. Featuring the revolutionary Circular Orbit Plot , the atmospheric Quantum Field Cloud , and deep-dive analytical grids, it allows you to see the market's state in a way that numbers alone never could. It answers the final question: " What does this confirmed state of coherence actually look like? "
An Ignition Signal only fires when all three of these independent systems reach a unanimous conclusion. This is the source of MFC's power and precision.
โ THE PHILOSOPHY & THEORETICAL FOUNDATION
MFC is built upon a synthesis of advanced mathematical frameworks, each chosen for its unique ability to extract a deeper layer of truth from market data. Their combination across the three engines creates a system far greater than the sum of its parts.
1. The Kernel: Gaussian-Weighted Smoothing for Intelligent Lag Reduction
Simple and Exponential Moving Averages are primitive tools. MFC's engines reject them. We employ a Gaussian Kernel for all internal smoothing. This "bell curve" weighting assigns the most significance to the most recent data, gracefully decaying influence for older data. The result is a beautifully smooth yet highly responsive measure of coherence, fundamentally reducing the lag that plagues other systems.
The formula for the weight w at a distance i from the center ฮผ is:
w(i) = exp(- (i - ฮผ)ยฒ / (2 * ฯยฒ))
2. The Lens: Sigmoid Normalization for Non-Linear State Definition
To compare an RSI of 80 to a MACD of 0.5, MFC utilizes the robust and mathematically elegant Sigmoid (Logistic) Function. Its non-linear, "S-shaped" curve squashes any input into a perfect, bounded range, creating extreme sensitivity near the neutral midpoint and gracefully compressing values at the extremes. This provides a crystal-clear distinction between "weak," "strong," and "extreme" conditions.
f(x) = 1 / (1 + exp(-k * x))
3. The Engine: Complex-Plane Phasors for Coherence Measurement
This is the heart of Engine 1. Each normalized oscillator is transformed from a single scalar value into a two-dimensional vector (a phasor) in the complex plane, capturing its magnitude (strength) and its phase angle (position and velocity).
Resultant Vector (R) = ฮฃ e^(iฯโ) = ฮฃ cos(ฯโ) + iยทฮฃ sin(ฯโ)
The Coherence Index (CI) is the magnitude of this resultant vector, normalized by the number of oscillators N:
CI = |R| / N
This mathematical blendingโ Gaussian smoothing for clean data, Sigmoid normalization to define state, and Complex-Plane Analysis to measure collective coherenceโis what allows MFC to generate insight that is simply impossible to achieve with conventional tools.
โ THE INPUTS MENU: YOUR COMMAND & CONTROL
Every parameter is exposed, allowing you to fine-tune MFC's three engines to any instrument, timeframe, or trading style. Here is an exhaustive guide:
Oscillator Settings (Engine 1)
Enable/Disable Toggles & Lengths: Construct the perfect ensemble for your market. Shorter lengths for scalping (e.g., 5m chart), longer lengths for swing trading (e.g., 4H chart). Disable any oscillator that consistently acts as an outlier to reduce noise.
Normalization Anchors: Define the "extreme" boundaries for the Sigmoid function. Widen these anchors (e.g., RSI 80/20) for highly volatile assets to better capture the larger price swings.
Coherence & Confirmation Settings (Engines 1 & 2)
CI Smoothing Window: Controls the Gaussian Kernel for the final Coherence Index. A short window (2-4) offers a fast reaction for scalpers. A longer window (5-10) creates a smoother CI line for swing traders.
Ignition Threshold: The CI level needed to activate a signal check. A lower threshold (0.70) generates more signals. A higher threshold (0.85) produces fewer, but extremely high-conviction signals.
Phase Lock Tolerance & Min Entangled Pairs: These are the core parameters for the Confirmation Engine (Engine 2). Use tighter tolerances (e.g., 25ยฐ) and a higher number of pairs (e.g., 5+) to demand an incredibly high standard for signal confirmation.
โ THE DASHBOARD: YOUR QUANTITATIVE READOUT
The dashboard provides a real-time, numerical dissection of the market field, summarizing the outputs of all three engines.
CI (Coherence Index): What it is: The master metric from Engine 1. How to interpret: < 40% (Chaos): The market is disjointed. 40-70% (Coherent): A regime is forming. > 70% (Ignition Zone): High consensus.
Dom Phase (Dominant Phase): What it is: The "average" direction from Engine 1. How to interpret: The arrow gives the immediate directional bias.
Field Strength: What it is: CI ร Average Amplitude . How to interpret: Measures alignment with conviction. A high Field Strength is the signature of a powerful, aggressive trend.
Entangled Pairs & Phase Lock: What they are: The direct readouts from the Confirmation Engine (Engine 2). How to interpret: The ๐ symbol and a high pair count are the final "green lights" before a signal can be generated.
State: What it is: A real-time classification of the market's condition based on the combined output of all engines. How to interpret:
๐ IGNITION: All three engines are in unanimous, bullish/bearish agreement.
โก COHERENT: The trend is healthy and coherence is stable.
๐ฅ COLLAPSE: The regime's integrity is compromised.
๐ CHAOS: The market is unpredictable.
Collapse Risk: What it is: A 0-100% gauge measuring the rate of recent CI decay. How to interpret: A leading indicator for trend exhaustion. A value rising above 50% is a powerful signal to tighten stops.
โ THE VISUALS: THE ART OF ANALYSIS (ENGINE 3)
The Visualization Suite (Engine 3) translates the complex calculations into an intuitive visual language. Learning to read these displays is like learning to see the market in a new dimension.
The Circular Orbit Plot: The soul of MFC. A polar grid showing each oscillator as a labeled vector.
Angle = Phase, Length = Amplitude. Watch for Convergence: when scattered vectors cluster into a single quadrant, you are witnessing the birth of a new regime in real-time.
The Quantum Field Cloud: An atmospheric overlay on the price chart.
Color = Dominant Phase ( Green for bullish, Red for bearish). Opacity = Coherence Index . A dense, opaque cloud signifies an extremely strong, coherent regime.
The Entanglement Web Matrix & Phase-Time Heat Map: Deep-dive analytical tools. Use the Web to diagnose the quality and breadth of coherence. Use the Heat Map to identify historical patterns and pivotal moments of unified market phase.
โ THE DEVELOPMENT: A QUEST FOR TRUTH
MFC was not created to be just another tool. It was engineered to solve the fundamental ambiguity of technical analysis by creating a system of checks and balances between three specialized engines. I sought to replace subjective interpretation with objective, multi-stage mathematical measurement. The choice of Gaussian kernels, Sigmoid functions, and complex-plane analysis was a deliberate decision to embrace the multi-dimensional reality of market dynamics rather than simplifying it into a single, misleading number.
This is a tool for the discerning trader who understands that the market is not a random walk, but a complex, adaptive system. MFC provides a new set of senses to perceive the behavior of that system.
"The financial markets are generally unpredictable. So that one has to have different scenarios... The idea that you can actually predict what's going to happen contradicts my way of looking at the market."
โ George Soros
MFC does not predict. It measures . Its three engines work in concert to provide a high-resolution image of the market's current state , allowing you to align yourself with moments of profound clarity and step aside during times of absolute chaos. Trade the coherence, not the forecast.
โ IMPORTANT WARNINGS & DISCLAIMER
This tool is designed for analytical and informational purposes. It identifies periods of high statistical confluence based on the behavior of technical oscillators. This is not a "signal" service and provides no financial advice.
RISK OF LOSS: All trading and investment activities involve substantial risk of loss. Do not trade with capital you cannot afford to lose.
NO GUARANTEE: This indicator does not guarantee profits or prevent losses. Past performance is not indicative of future results.
USE CONFIRMATION: "Ignition" markers denote a unanimous conclusion from all three internal engines, not explicit instructions to buy or sell. They should be used as one component within a comprehensive trading plan.
REGIME DEPENDENT: The effectiveness of this tool is dependent on market conditions. It performs best in markets with clear cyclical behavior.
Taking you to school. - Dskyz, Trade with probability. Trade with consensus. Trade with MFC.
All-In-One Trading Toolkit [wjdtks255]Title: All-In-One Trading Toolkit
Description: This professional toolkit integrates 5 essential indicators into one seamless interface to enhance your market analysis. It provides a comprehensive view of trend, momentum, and volatility.
Features:
Bollinger Bands: Tracks price volatility and potential reversal zones.
Ichimoku Cloud: Visualizes long-term trend support and resistance.
RSI Dashboard: Real-time momentum monitoring in the top-right corner.
MACD Signals: Direct Buy/Sell shape indicators on the chart for instant decision making.
Volume Profile: Identifies key price levels with high trading activity.
Strategy:
Entry: Follow the MACD crossover signals (Green/Red triangles) when they align with the Ichimoku Cloud direction.
BNF (Kotegawa) Strategy [CB Algos]STRATEGY: BNF (Kotegawa) Mean Reversion Strategy
DEVELOPED BY: CB Algos
DESCRIPTION:
This indicator replicates the trading style of Takashi Kotegawa (BNF).
It calculates the percentage deviation of the price from the 25-period SMA.
HOW TO USE:
1. Look for 'Lime' bars (Extreme Buy) or 'Teal' bars (Moderate Buy). These indicate the price has dropped significantly below the average.
2. Look for 'Red' bars (Extreme Sell) as profit-taking zones.
3. Use the Info Panel to see the exact current deviation %.
Nova Capital MACDNova Capital MACD is a momentum oscillator based on the classic MACD calculation, enhanced with a clean 4-state histogram and optional signal labels.
Core calculation:
MACD Line = Fast MA โ Slow MA
Signal Line = MA(MACD Line, Signal Length)
Histogram = MACD Line โ Signal Line
Features in this version:
4-state histogram coloring (positive/negative + rising/falling) to visualize momentum changes more clearly.
Optional confirmed-bar behavior (signals trigger only on closed bars).
Optional zero-line directional filter:
Long labels only when MACD is below 0.
Short labels only when MACD is above 0.
Built-in alert conditions for Long/Short events.
How to use:
Watch histogram state changes for momentum transitions.
A Long label appears on MACD crossing above the Signal line (optionally below 0).
A Short label appears on MACD crossing below the Signal line (optionally above 0).
Note: This indicator is not a complete trading system. Use risk management and confirm signals with market context.
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength.
Key Features
Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes.
Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read.
Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity.
Multi-Palette Visual System:
Predefined Palettes โ Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors.
Custom Colors โ Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones.
Dynamic Visuals โ Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state
.
Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart.
Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions.
How It Works
MA Calculation โ Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library.
Deviation Computation โ Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility.
Loop Function โ Iterates from user-defined indices (From โ To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator.
Signal Logic โ Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure.
Color Coding & Visual Feedback
Palette or custom colors reflect oscillator's directional state.
Additional glow lines increase signal emphasis.
Background shading highlights crossovers with mid-threshold for enhanced visibility.
Optional bar and candle coloring aligns price visualization with indicator signals.
Practical Use
Momentum Confirmation โ Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength.
Volatility Normalization โ Standardized deviation ensures consistency across assets of different volatility profiles.
Multi-Timeframe Adaptation โ The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis.
Visual Clarity โ Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure.
Customization
Select from 16 moving average types to control sensitivity and smoothing.
Adjust loop depth (From/To) to define how far back deviation is compared.
Set custom threshold levels to reflect your preferred sensitivity to momentum shifts.
Customize visuals with predefined palettes or manual color settings for full chart integration.
โ ๏ธDisclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
SMI Histogram State VisualizationStochastic Momentum Index (SMI) โ State Histogram
One issue I always had with the standard SMI was how difficult it can be to clearly distinguish EMA crosses, especially when the oscillator is compressed near overbought or oversold levels. Important information is there โ itโs just not always easy to read quickly.
This script is my solution to that problem.
By transforming the SMI into a state-based histogram, momentum, exhaustion, and EMA crosses become visually obvious at a glance.
How It Works
The Stochastic Momentum Index (SMI) measures price position relative to the midpoint of its recent highโlow range, which makes it:
symmetric around zero
smoother than a classic stochastic
well suited for momentum analysis
Instead of a traditional line oscillator, the SMI is displayed as a color-coded histogram, while an EMA of the SMI is used as a confirmation signal.
Color-Coded Momentum States
The histogram dynamically changes color based on momentum state and EMA position:
๐ด Red โ Oversold & Below EMA
Strong bearish momentum, downtrend still intact.
๐ Orange โ Oversold & Above EMA
Bearish momentum weakening, early bullish reversal potential.
๐ข Green โ Overbought & Above EMA
Strong bullish momentum, trend continuation.
๐ก Yellow โ Overbought & Below EMA
Bullish momentum weakening, early bearish reversal potential.
Faded colors represent neutral or transition phases near the zero line.
Best Use Cases
Quickly identifying EMA crosses inside overbought / oversold zones
Spotting early reversals before price reacts
Confirming momentum continuation
Filtering noise in ranging markets
This indicator is non-repainting and works on all timeframes.
Inputs
%K Length โ Lookback window used to define the price range
%D Length โ Smoothing applied to the momentum calculation
EMA Length โ Confirmation smoothing applied to the SMI
Notes
This indicator is intended as a visual momentum and confirmation tool, not a standalone trading system.
Always use it in confluence with price action, market structure, and proper risk management.
Accumulation/Distribution Oscillator [MarkitTick]๐ก This script presents a statistically normalized evolution of the classic Accumulation/Distribution (A/D) indicator, designed to transform unbounded volume flow into a bounded, actionable oscillator. By integrating Relative Volume (RVOL) weighting and Z-Score standardization, this tool isolates genuine institutional buying and selling pressure from market noise, offering a clear view of volume momentum regimes.
โจ Originality and Utility
The standard Accumulation/Distribution line is a cumulative total of volume flow, which often results in an unbounded line that drifts indefinitely with price trends. This makes it difficult for traders to identify overextended conditions or specific turning points.
This script solves that problem through a three-stage quantitative process:
Smart Volume Weighting: Instead of treating all volume equally, this indicator amplifies the impact of high-volume nodes using a Relative Volume (RVOL) filter. This ensures that significant institutional activity carries more weight than low-liquidity chopping.
Detrending: It subtracts a smoothed average (using ALMA, EMA, or others) from the raw A/D line to create a raw oscillator.
Normalization: Finally, it applies a Z-Score calculation to normalize the data. This bounds the oscillator around a zero mean, allowing for the application of Bollinger Bands to detect statistical extremes (2 or 3 standard deviations).
๐ฌ Methodology and Concepts
The calculation logic follows a strict quantitative pipeline:
โ Money Flow Multiplier (MFM)
The core engine is the classic MFM calculation, which determines the location of the Close relative to the High-Low range. A Close near the High results in +1, while a Close near the Low results in -1.
โ Advanced Volume Filtering
Before accumulation, the volume is processed through two filters:
RVOL Multiplier: If the current bar's volume exceeds its simple moving average (`rvol_len`), the volume is multiplied by a user-defined factor (`rvol_mult`). This emphasizes breakout candles.
Candle Strength (Optional): If enabled, weight is increased based on how close the price closes to the absolute high or low, rewarding decisive candle shapes.
โ Z-Score Standardization
The script calculates the "Raw Oscillator" by subtracting a moving average (Signal Line) from the cumulative A/D Line. It then calculates the Z-Score of this raw value over a lookback period (`z_len`).
Formula: Z = (Value - Mean) / Standard Deviation
๐จ Visual Guide
The indicator renders a complex data set into an easy-to-read interface:
โข The Oscillator (Line & Histogram)
The primary output is the Z-Score value.
Teal Histogram/Line: Represents Bullish momentum (Accumulation). Darker Teal indicates accelerating momentum (`osc > previous`), while lighter Teal indicates decaying momentum.
Red Histogram/Line: Represents Bearish momentum (Distribution). Darker Red indicates accelerating selling pressure, while lighter Red indicates exhaustion.
Gray: If the Trend Filter (200 EMA) or VWAP Filter is enabled and the signal opposes the trend, the histogram turns Gray to indicate a low-probability counter-trend signal.
โข Bollinger Bands (Blue Bands)
These bands wrap around the oscillator line.
Upper Band: Usually set to +2 Standard Deviations. When the oscillator pierces this band, accumulation is statistically extreme (potential mean reversion or strong breakout).
Lower Band: Usually set to -2 Standard Deviations. Indicates statistically extreme distribution.
โข Divergences
The script automatically detects and plots structural divergences:
Green Lines/Labels: Bullish Divergence. Price makes a Lower Low while the Oscillator makes a Higher Low.
Red Lines/Labels: Bearish Divergence. Price makes a Higher High while the Oscillator makes a Lower High.
โข Multi-Timeframe (MTF) Dashboard
Located in the top right, this table displays the momentum status (BULL/BEAR) of the oscillator across three user-defined timeframes (default: 60min, 240min, Daily), allowing for fractal trend analysis.
๐ How to Use
This tool is best used for identifying trend exhaustion and hidden volume strength.
1. Trend Continuation
In a strong uptrend, look for the Histogram to remain Teal and above the Zero line. A pullback to the Zero line that bounces back up suggests buyers are stepping in to defend the trend.
2. Statistical Extremes
When the oscillator line breaks outside the Bollinger Bands, volume flow is significantly deviated from the norm.
If price is ranging, this often signals a reversal (Reversion to Mean).
If price is breaking out, this confirms strong impulse participation.
3. Divergence Reversals
A divergence is a leading signal. If price is pushing new highs but the A/D Oscillator fails to make a new high (Red Divergence Line), it indicates that the volume supporting the move is drying up, often preceding a correction.
โ๏ธ Inputs and Settings
โ Oscillator Settings
Smoothing Type/Length: Choose between ALMA, EMA, SMA, etc., to smooth the A/D line. ALMA is default for its zero-lag properties.
ALMA Offset/Sigma: Fine-tune the responsiveness of the Arnaud Legoux Moving Average.
โ Quant Filters
RVOL Lookback & Multiplier: Determines the threshold for "High Volume." Default is 1.5x average volume.
Z-Score Lookback: The period used to establish statistical significance (Default: 100).
Use VWAP/Trend Filter: Logical switches to gray out signals that contradict the macro trend (200 EMA) or the intraday mean (VWAP).
โ Dashboard
Customize the three timeframes displayed in the MTF table to match your trading horizon (e.g., Scalpers might use 5m, 15m, 1h).
๐ Deconstruction of the Underlying Scientific and Academic Framework
This indicator relies on the Law of Supply and Demand quantified through Standard Score (Z-Score) Statistics .
Standard Accumulation/Distribution is derived from the work of Marc Chaikin, positing that the proximity of the close to the high/low on high volume indicates the "smart money" flow. However, raw cumulative data suffers from heteroscedasticity (varying variance).
By applying Z-Score normalization:
Z = (x - ฮผ) / ฯ
We transform the data into a standard normal distribution. This allows us to apply probability theory to volume analysis. A value of +2.0 is not merely "high"; it represents a volume flow intensity that falls within the top 2.2% of the data set (assuming normal distribution), providing a mathematically robust definition of "Overbought" or "Oversold" volume conditions.
โ ๏ธ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Minervini TT RS Break (vs TOPIX)his script selects โbuyableโ stocks using Minerviniโs Trend Template and filters for market leaders by relative strength versus TOPIX. A BUY signal appears when all TT conditions are met (price above 50/150/200-day MAs, 50>150>200 alignment, rising 200-day MA, +30% from 52-week low, within 25% of 52-week high) and RS is above the threshold, trending up, and making new highs. While BUY is active, an ENTRY signal is shown only when a pivot breakout (above the prior N-day high) occurs with a volume surge (multiple of average volume) and volatility contraction (lower ATR%). An RS BREAK is flagged when relative strength weakens (below its MA or MA turning down), indicating no-add and exit watch. Use BUY to build a watchlist, act only on ENTRY signals, and stop adding while prioritizing exit decisions when RS BREAK appears.
GS Quantum Radar [Elite Aesthetic - Bilingual]GS Quantum Radar / GS ้ๅญ้ท้
Overview / ๆฆ่ฟฐ
Inspired by the quantum physics concept of "Ghostly action at a distance," the GS Quantum Radar is a high-end quantitative tool designed to capture the hidden correlations between two entangled assets (e.g., 2330.TW vs. TSM, or NVDA vs. AI sector). It identifies "Quantum Tension"โstatistical deviations that signal imminent mean reversion or breakout opportunities.
ๅ้ๅญๅๅญธไธญ**ใๅนฝ้่ฌ็้ ่ทไฝ็จใ**ๅ็ผ๏ผGS ้ๅญ้ท้ๆฏไธๆฌพๅฐ็บๆๆ่ณ็ข้้ฑ่้่ฏ่่จญ่จ็้ซ้้ๅๅทฅๅ
ท๏ผไพๅฆๅฐ็ฉ้ป่ TSM ADR๏ผๆ NVDA ่ AI ้ก่ก๏ผใๅฎ่ฝ่ญๅฅใ้ๅญๅผตๅใโโๅณ็ตฑ่จๅญธไธ็็ฐๅธธๅ้ข๏ผ้ ็คบ่ๅณๅฐๅฐไพ็ๅๅผๅๆญธๆ็ช็ ดๆฉๆใ
Core Logic / ๆ ธๅฟ้่ผฏ
The indicator operates on Statistical Arbitrage principles using a dynamic Z-Score model:่ฉฒๆๆจๅบๆผ็ตฑ่จๅฅๅฉๅ็๏ผๆก็จๅๆ
Z-Score ๆจกๅ๏ผ
Entanglement Strength (Correlation) / ็ณพ็บๅผทๅบฆ๏ผ็ธ้ๆง๏ผ๏ผ It measures how synchronized the two assets are. Signals are only valid when the correlation is high, ensuring you aren't trading noise.่กก้ๅ
ฉ้
่ณ็ข็ๅๆญฅ็จๅบฆใๅ
ๅจ็ธ้ๆง้ซๆ่จ่ๆๆๆ๏ผ็ขบไฟๆจ้ฟ้ๅธๅ ด้่จใ
Quantum Tension (Z-Score) / ้ๅญๅผตๅ (Z-Score)๏ผ Using the formula $Z = \frac{x - \mu}{\sigma}$, it calculates the price ratio deviation.้้ๅ
ฌๅผ $$Z = \frac{x - \mu}{\sigma}$$
่จ็ฎๅนๅทฎๆฏ็็ๅ้ขๅผใ
$Z > +2$ (Red Column / ็ด
่ฒๆฑ็): Particle A is overstretched (Overvalued). / ่ณ็ข A ๆดๅผต้ๅบฆ๏ผ็ธๅฐ้ซไผฐ๏ผใ
$Z < -2$ (Green Column / ็ถ ่ฒๆฑ็): Particle A is compressed (Undervalued). / ่ณ็ข A ๅฃ็ธฎ้ๅบฆ๏ผ็ธๅฐไฝไผฐ๏ผใShutterstockๆข็ดข
Key Features / ไธป่ฆๅ่ฝ
Bilingual Cyberpunk Dashboard / ไธญ่ฑ้่ช่ณฝๅ้พๅ
ๅ่กจๆฟ: Real-time monitoring of network status, entanglement strength, and tension levels with intuitive scale bars.ๅณๆ็ฃๆง็ถฒ่ทฏ็ๆ
ใ็ณพ็บๅผทๅบฆ่ๅผตๅๆฐดๅนณ๏ผ้
ๅ็ด่ง็ๆฏไพๅฐบ้ฒๅบฆๆขใ
Aesthetic UI / ่ฆ่ฆบ็พๅญธ: Designed with a Neon-Tokyo palette. Optimized for Dark Mode with a focus on high-density information display.ๆก็จ้่นๆฑไบฌ้
่ฒใๅฐ็บๆทฑ่ฒๆจกๅผๅชๅ๏ผๅฐๆณจๆผ้ซๅฏๅบฆ่ณ่จ้กฏ็คบใ
Taiwan Style Color / ๅฐ่ก้
่ฒๆ
ฃไพ: Red for Bullish/Up, Green for Bearish/Down.็ฌฆๅๅฐ่ก็ฟๆ
ฃ๏ผ็ด
ๆผฒใ็ถ ่ทใ
How to Use / ๅฆไฝไฝฟ็จ
Select your pair / ้ธๆๅฐ่ฑก: Load the script on your primary chart (e.g., 2330.TW) and input the "Entangled Particle" (e.g., NASDAQ:TSM) in settings.ๅจไธปๅ่กจ๏ผๅฆ 2330.TW๏ผๆ่ผ่
ณๆฌ๏ผไธฆๅจ่จญๅฎไธญ่ผธๅ
ฅใ็ณพ็บๅฐ่ฑกใ๏ผๅฆ NASDAQ:TSM๏ผใ
Monitor the Status / ็ฃๆง็ๆ
: Look for "STRONG BUY" or "TAKE PROFIT" advisories on the dashboard.่งๅฏๅ่กจๆฟไธ็ใๅผทๅ่ฒท้ฒ (STRONG BUY)ใๆใ็ฒๅฉไบ็ต (TAKE PROFIT)ใๅปบ่ญฐใ
Execute / ๅท่กไบคๆ: Enter when the "Quantum Tension" hits the $\pm 2.0$ thresholds while "Entanglement" is full.็ถใ้ๅญๅผตๅใ้ๅฐ $\pm 2.0$ ่จ็้ปไธใ็ณพ็บๅผทๅบฆใๆปฟๆ ผๆ้ฒๅ ดใ
Disclaimer / ๅ
่ฒฌ่ฒๆTrading involves significant risk. This indicator is a statistical tool for decision support and does not guarantee profits. Use with proper risk management.ไบคๆๆถๅ้ๅคง้ขจ้ชใๆฌๆๆจ็บ่ผๅฉๆฑบ็ญ็็ตฑ่จๅทฅๅ
ท๏ผไธไฟ่ญ็ฒๅฉใ่ซ้
ๅ้ฉ็ถ็้ขจ้ช็ฎก็ไฝฟ็จใ
ARPAKET_FLOW_CRYPTOArpaket_FLOW - TradingView Script
---
## ๐ Short Description (for subtitle)
```
Advanced Money Flow Indicator with Multi-Asset Support, Whale Detection & Multi-Timeframe Analysis
```
---
## ๐ Full Description (copy below this line)
---
### ๐ ARPAKET_FLOW - Smart Money Flow Indicator
**Arpaket_FLOW** is a comprehensive money flow indicator designed to help traders visualize whether smart money is flowing INTO or OUT of the market, along with the intensity of that flow. This indicator combines multiple proven technical analysis methods into a single, easy-to-read tool for making informed buy/sell decisions.
---
### ๐ฏ What Does This Indicator Do?
This indicator answers the most critical question in trading: **"Is money flowing into or out of this asset?"**
By combining volume analysis with price action, Arpaket_FLOW calculates a **Flow Score (0-100)** that tells you:
- **Above 70**: Strong money inflow โ Bullish bias
- **50-70**: Moderate inflow โ Cautiously bullish
- **30-50**: Neutral zone โ Wait for confirmation
- **Below 30**: Strong money outflow โ Bearish bias
---
### ๐ฌ How It Works
Arpaket_FLOW combines **6 powerful indicators** into one unified score:
| Component | Weight | Purpose |
|-----------|--------|---------|
| **Volume Ratio** | 25% | Detects unusual volume activity |
| **Money Flow Index (MFI)** | 20% | Measures buying/selling pressure with volume |
| **Chaikin Money Flow (CMF)** | 20% | Identifies accumulation/distribution |
| **On-Balance Volume (OBV)** | 15% | Tracks volume flow direction |
| **RSI Momentum** | 10% | Confirms price momentum |
| **VWAP Deviation** | 10% | Institutional price reference |
---
### โจ Key Features
#### ๐๏ธ Multi-Asset Adaptation
- **Crypto Mode**: Higher volatility thresholds + Whale detection
- **Low Liquidity Stocks**: Adjusted sensitivity for thin markets (SET Index, Small Caps)
- **High Liquidity Markets**: Standard settings for Forex, Major Indices
#### โฑ๏ธ Multiple Trading Styles
- **Scalping** (1-5 min): Ultra-fast signals with noise filtering
- **Day Trading** (15min-1H): Balanced speed and reliability
- **Swing Trading** (4H-Daily): Multi-timeframe confirmation
- **Position Trading** (Weekly+): Long-term flow analysis
#### ๐ Whale Detection (Crypto)
Automatically detects unusual large-volume activity that may indicate whale accumulation or distribution. When volume exceeds 3x the average, a whale marker (๐) appears on the chart.
#### ๐ Multi-Timeframe Panel
For Swing and Position traders, view flow direction across 4 timeframes (1H, 4H, Daily, Weekly) simultaneously to ensure alignment before entering trades.
#### ๐ Real-Time Dashboard
A clean dashboard displaying:
- Flow Direction (Inflow/Outflow/Neutral)
- Flow Score (0-100)
- Flow Strength (Weak/Moderate/Strong/Extreme)
- Volume Status (Normal/Surge/Whale)
- MFI & CMF readings
- Overall Signal (Buy/Sell/Neutral)
#### โ ๏ธ Divergence Detection
Automatically identifies bullish and bearish divergences between price and money flow, providing early reversal warnings.
---
### ๐ How To Use
#### Basic Usage:
1. **Select your Market Type** in settings (Crypto/Low Liquidity/High Liquidity)
2. **Select your Trading Style** (Scalping/Day Trading/Swing/Position)
3. **Watch the histogram**:
- Green bars = Money flowing IN (bullish)
- Red bars = Money flowing OUT (bearish)
- Bar height = Flow intensity
#### Signal Interpretation:
| Signal | Meaning | Suggested Action |
|--------|---------|------------------|
| ๐ข Green Triangle | Strong buy signal | Consider long entry |
| ๐ด Red Triangle | Strong sell signal | Consider short/exit |
| ๐ Whale Icon | Large player activity | Watch for direction |
| DIV Label | Divergence detected | Potential reversal |
#### Best Practices:
- Use **higher timeframes** for trend direction
- Use **lower timeframes** for entry timing
- Wait for **MTF alignment** (3+ timeframes agreeing) for higher probability trades
- Combine with support/resistance levels for optimal entries
---
### โ๏ธ Settings Guide
#### General Settings
- **Market Type**: Match to your traded asset
- **Trading Style**: Match to your timeframe
- **Sensitivity**: Conservative (fewer signals) โ Aggressive (more signals)
#### Period Settings
- **Fast Period**: Short-term calculation (default: 7)
- **Slow Period**: Long-term calculation (default: 21)
- **Signal Smoothing**: Reduces noise (default: 5)
#### Alert Settings
- **Buy Threshold**: Score level for buy signals (default: 70)
- **Sell Threshold**: Score level for sell signals (default: 30)
- **Volume Surge Multiplier**: Volume spike detection (default: 2.0x)
- **Whale Multiplier**: Whale detection threshold (default: 3.0x)
---
### ๐ Available Alerts
1. **Strong Buy/Sell Signal** - When confirmed signals trigger
2. **Enter Buy/Sell Zone** - When score crosses thresholds
3. **Whale Activity** - Accumulation or distribution detected
4. **Bullish/Bearish Divergence** - Price/flow divergence
5. **Volume Surge** - Unusual volume spike
6. **MTF Alignment** - Multiple timeframes agree
7. **Extreme Conditions** - Score above 90 or below 10
8. **Flow Reversal** - Direction change confirmed
---
### ๐ Recommended Combinations
This indicator works best when combined with:
- **Support/Resistance levels** for entry points
- **Trend lines** for direction confirmation
- **Moving Averages** (EMA 20/50/200) for trend context
- **Price Action patterns** for timing
---
### โ ๏ธ Disclaimer
This indicator is a tool to assist in trading decisions, not a guarantee of profits. Always:
- Use proper risk management
- Never risk more than you can afford to lose
- Backtest before live trading
- Consider multiple factors before entering trades
Past performance does not guarantee future results. Trading involves substantial risk of loss.
---
### ๐ Credits & Acknowledgments
This indicator combines concepts from:
- Money Flow Index (Gene Quong & Avrum Soudack)
- Chaikin Money Flow (Marc Chaikin)
- On-Balance Volume (Joe Granville)
- Volume-Weighted Average Price (Institutional standard)
---
### ๐ฌ Feedback
If you find this indicator helpful, please leave a comment or like! Your feedback helps improve future updates.
For questions or suggestions, feel free to comment below.
**Happy Trading!** ๐
---
## ๐ท๏ธ Suggested Tags (for TradingView)
```
moneyflow, volume, smartmoney, whaledetection, crypto, stocks, forex, mfi, cmf, obv, vwap, multitimeframe, buysellindicator, flowanalysis, accumulation, distribution
```
---
## ๐ธ Suggested Screenshots to Include
1. **Main Chart View** - Show the indicator with histogram and dashboard
2. **Buy Signal Example** - Zoom in on a successful buy signal
3. **Whale Detection** - Show crypto chart with whale markers
4. **MTF Panel** - Display multi-timeframe alignment
5. **Settings Panel** - Show available customization options
eXquTrading FIB (Auto)eXquTrading FIB (Auto) โ EMA144/169 Cloud + 8X Score + Auto Fibonacci (Single Set)
This indicator uses the EMA144/169 Cloud to define the market regime (LONG/SHORT/NEUTRAL), then generates BUY/SELL signals based on an 8-factor scoring system, while automatically drawing one Fibonacci set and extending it to the right so labels remain readable.
Features
Trend Regime (EMA144/169 Cloud):
Above cloud = LONG, below cloud = SHORT, inside cloud = NEUTRAL
8X Score Signals: confirmations from RSI, MACD, Stoch, Momentum, Volume, MFI, CCI, OBV(EMA)
Noise-reduction filters:
ATR-based cloud distance filter (reduces chasing signals)
ATR-based impulse candle filter (blocks oversized candles)
Cooldown (limits back-to-back signals)
Auto Fibonacci (Single Set):
Rebuilds on trend flip / fib invalidation / (optional) when a signal appears and no fib exists
Levels: -1.618, -1, -0.382, 0, 0.382, 0.5, 0.618, 1
Fib lines extend to the right on every bar (labels stay clean)
Settings (Quick tips)
Increase Minimum Confirmations (Score) โ fewer but cleaner signals
Tighten ATR filters in choppy markets, loosen slightly in strong trends
Increase Right Pad Bars to keep right-side labels readable
Repaint / Execution Mode
Default: bar close only (more reliable)
Optional โEarly Signal (Repaint Risk)โ enables intrabar signals (faster, but may repaint)
Alerts
8X SCALP BUY
8X SCALP SELL
Disclaimer
For analysis/educational purposes only. Not financial advice. Always test settings on your own symbols and timeframes.
EduVest - IFA-VP Context v3.0 [NEON Edition]๐ IFA-VP Context v3.0
A powerful market context indicator combining Volume Profile analysis with SMA trend detection. Designed with a cyberpunk-inspired NEON color palette for maximum visibility on dark charts.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฏ WHAT IT DOES
This indicator helps you understand "where you are" in the market by analyzing:
โข Volume Profile (POC, VAH, VAL)
โข SMA Alignment (20/50/200)
โข Context Score (0-100)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โก KEY FEATURES
๐น NEON Color Palette - Cyan/Pink/Gold colors optimized for dark mode
๐น Context Score - Visual score bar (โโโโโโโโโโ) shows market strength
๐น Cross Signals - GOLDEN CROSS / DEATH CROSS with HUGE labels
๐น POC Reaction - Track price interaction with Point of Control
๐น Status Panel - All-in-one dashboard with trend, zone, and hints
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐บ THREE DISPLAY MODES
โข Impact Mode - Full visual experience with badges, ribbons, and glow effects
โข Minimal Mode - Clean SMA lines and VP levels only
โข Pro Mode - Complete VP histogram display
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ SIGNALS EXPLAINED
โฒ GOLDEN CROSS (20ร50) - Short-term bullish momentum
โผ DEATH CROSS (20ร50) - Short-term bearish momentum
โญ MAJOR GOLDEN (50ร200) - Long-term bull market signal
๐ฅ MAJOR DEATH (50ร200) - Long-term bear market signal
Context Badges:
โก SUPER BUY/SELL (Score 80+)
๐ฅ POWER BUY/SELL (Score 70-79)
๐ช STRONG BUY/SELL (Score 60-69)
โธ WAIT (Score <50)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โฐ RECOMMENDED TIMEFRAMES
โ
15min - 4H (Best for day trading & swing)
โ ๏ธ 1min-5min (Noisy, use with caution)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๏ธ DISCLAIMER
This is NOT a buy/sell signal indicator.
It shows market CONTEXT to help your own trading decisions.
Always use proper risk management and combine with your own analysis.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ท๏ธ Tags: volume profile, sma, context, trend, neon, dark mode, poc, value area
Spot Taker Flow & Early Warning System How Does This Code Detect a "Fake" Rise?
Spot VWMA Logic: The moving average looks not only at the price but also at how much "spot volume" is circulating at that price.
Fake Rise Scenario: If the price (candles) is going up but the Yellow (Binance) or Blue (Coinbase) lines we've drawn are below it, or the price is drooping to the level of these lines; know that the rise is being triggered by bots in futures trading, not spot buyers. This is a "Fake" rise.
Confirmed Rise: If the price is above all these L1 lines, there may be "real money behind it".
Quantum MACD๐ STRENGTHS:
1. Adaptability to Any Asset
Automatically adjusts overbought/oversold levels according to each asset's volatility
No manual level adjustment needed for different instruments
2. 4 Intelligent Zone Calculation Methods
Percentiles: Considers historical distribution of MACD values
Standard Deviation: Statistically justified levels
ATR: Accounts for market volatility
Bollinger Bands: Classic proven method
3. Enhanced Visualization
Gradient zone fill (intensity depends on distance to level)
Four histogram colors like in standard MACD
Clear solid divergence lines with markers
Information panel with key data
4. Multiple Signals and Alerts
Divergences (bullish/bearish)
Entry/exit from overbought/oversold zones
MACD and signal line crossovers
Strong signals (when approaching extreme levels)
5. Flexible Configuration
Ability to enable/disable any elements
Period adjustment for different methods
Color scheme selection
Sensitivity adjustment via multipliers
6. Professional Functions
Table with extended information
Signal strength calculation
Distance to level indicators
Display of historical MACD minimums/maximums
๐ WEAKNESSES:
1. High Complexity for Beginners
Many settings can confuse novice traders
Difficulty choosing optimal zone calculation method
Requires time to learn all functions
2. Possible Chart Overload
Multiple lines and fills can clutter the chart
Lines may overlap with many divergences
Information panel occupies screen space
3. Calculation Delays
Use of large periods (up to 500 bars) for calculations
Some methods (percentiles) require data accumulation
Possible lags on lower timeframes
4. Risk of Over-Optimization
Too fine-tuning for specific assets
Possibility of fitting parameters to historical data
Need to review parameters when trends change
5. Dependence on Chosen Method
Different methods can give contradictory signals
No single "perfect" method for all situations
Requires testing each method on specific assets
6. Pine Script Limitations
Inability to implement exact percentiles without arrays
Performance limitations with complex calculations
Some visual effects cannot be implemented perfectly
7. False Signals
In strong trends, indicator may remain in overbought/oversold zones for long periods
Divergences sometimes form late
Frequent line crossovers in sideways markets
โ๏ธ BALANCE OF STRENGTHS AND WEAKNESSES:
Who It's Suitable For:
โ
Experienced traders who need advanced analysis tools
โ
Analysts studying indicator behavior on different assets
โ
Swing traders working on medium timeframes
โ
Those trading multiple assets who need automatic adaptation
Who It's Not Suitable For:
โ Beginners just starting with technical analysis
โ Scalpers who need minimal delay
โ Traders preferring minimalistic indicators
โ Those wanting a "magic button" without configuration
๐ก USAGE RECOMMENDATIONS:
Start Simple: Use only one zone calculation method (e.g., "Standard Deviation")
Test: Check each method on your asset's historical data
Simplify: Disable unnecessary visual elements for cleaner charts
Combine: Use this indicator with others (trend, volume-based)
Observe: Monitor indicator behavior in different market conditions (trend, range)
๐ฏ CONCLUSION:
Quantum MACD is a powerful professional tool for traders willing to invest time in learning and configuring it. It solves the key problem of standard MACD - static overbought/oversold levels.
Main Advantage: adaptation to any asset without manual adjustment.
Main Disadvantage: complexity for beginners and risk of chart overload.
The indicator performs best on daily and weekly timeframes when trading stocks, cryptocurrencies, and currency pairs with good liquidity.
Smooth Fear/Greed Waves (Cipher-style)The indicator is a Oscilator that helps to check when to buy or sell and asset based on the Fear and Greed index and also based on the oversold or overbought Threshold.
Liquidity-Weighted RSILW-RSI scales the classic RSI by relative volume to highlight when momentum happens under unusually high participation.
Formula:
LW-RSI = RSI ร (Current Volume / 20-bar Avg Volume)
โข The 0 โ Threshold band marks the โnormalโ zone.
โข Values above Threshold indicate an abnormal liquidity/participation regime (not a buy/sell signal by itself).
โข The orange line is the moving average of LW-RSI itself to show whether participation spikes are persistent or just noise.
LW-RSI does not predict direction. Use it as a context/confirmation tool alongside structure, VWAP, and volume profile.
Apex Wallet - Lorentzian Classification: Adaptive Signal SuiteOverview The Apex Wallet Lorentzian Classification is a high-performance signal engine that utilizes an adaptive multi-feature approach to identify high-probability entry points. It synthesizes five distinct technical featuresโRSI, CCI, ADX, MFI, and ROCโto calculate a weighted trend bias.
Dynamic Adaptation The core strength of this indicator is its ability to automatically recalibrate its internal periods based on your selected Trading Mode.
Scalping: Uses ultra-fast periods (e.g., RSI 7, ADX 10) for quick reaction on 1m to 5m charts.
Day-Trading: Balanced settings (e.g., RSI 14, ADX 14) optimized for 15m to 1h timeframes.
Swing-Trading: Smooth, long-term filters (e.g., RSI 21, ADX 20) to capture major market shifts.
Logic & Signal Flow
Feature Extraction: The script calculates five momentum and volatility features using the current close price.
Signal Summation: Each feature contributes to a global signal score based on established technical thresholds.
EMA Smoothing: The raw signal is processed through an EMA filter to eliminate market noise and false breakouts.
Execution: Clear BUY and SELL labels are printed directly on the chart when the smoothed score crosses specific conviction levels.
Key Features:
Zero-Configuration: No need to manually adjust lengths; simply pick your trading style.
Clean Visuals: High-fidelity labels (BUY/SELL) with integrated alert conditions for automation.
Prop-Firm Ready: Ideal for traders needing fast confirmation for high-conviction trades.
