Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands
Overview
Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity.
Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction.
This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions.
Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators.
Conceptual Framework
Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns.
Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume.
Three core principles guide the design:
Trend direction should correspond to volume-weighted flow dominance, not price movement alone.
Band width must adapt dynamically to current flow strength and volatility conditions.
Flow intensity context reveals whether regimes formed under conviction or uncertainty.
This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries.
Theoretical Foundation
The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification.
A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers.
Four internal systems operate in tandem:
Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing.
Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization.
Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling.
Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion.
This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone.
How It Works
Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes:
Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high).
Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1.
Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments.
Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference.
Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction.
Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend.
Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise.
Together, these elements form a continuously updating trend framework anchored in volume flow reality.
Interpretation
Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries:
Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance.
Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support.
Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum.
Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods.
Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points.
Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets.
Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline.
Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods.
Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations.
Signal Logic & Visual Cues
Smart Money Flow Cloud presents three primary interaction signals:
Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition.
Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition.
Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise.
Alert generation covers regime switches and retest events for systematic monitoring.
Strategy Integration
Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches:
Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts.
Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks.
Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow).
Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction.
Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction.
Technical Implementation Details
Core Engine : Configurable EMA or ALMA baseline with secondary smoothing
Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization
Strength Transformation : Configurable power function for nonlinear flow amplification
Band Construction : ATR-scaled width with flow-strength-interpolated multipliers
Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge
Signal Logic : Band crossover detection with baseline retest identification and cooldown management
Performance Profile : Optimized for real-time execution with minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure regime detection for scalping and intraday reversals
15 - 60 min : Intraday trend identification with flow-validated swings
4H - Daily : Swing and position-level regime analysis with institutional flow context
Suggested Baseline Configuration:
Trend Length : 34
Trend Engine : EMA
Trend Smoothing : 3
Flow Window : 24
Flow Smoothing : 5
Flow Boost : 1.2
ATR Length : 14
Band Tightness (Calm) : 0.9
Band Expansion (Strong Flow) : 2.2
Reset Cooldown : 12
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility 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:
Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity.
Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering.
Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation.
Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection.
Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries.
Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity.
Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume participation and institutional flow
Instruments where volume accurately reflects true liquidity and conviction
Trending environments where flow confirms directional price movement
Mean-reversion strategies using retest signals within established regimes
Reduced Effectiveness:
Extremely low volume environments where flow calculations become unreliable
News-driven or gapped markets with discontinuous volume patterns
Highly manipulated or thinly traded instruments with erratic volume distribution
Ranging markets where price oscillates within bands without conviction
Integration Guidelines
Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile
Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion
Context Awareness : Consider whether current market regime matches historical flow patterns
Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries
Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation
Disclaimer
Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
M-trend
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Alpha Hunter Integrated MACD & Oscillator [wjdtks255]Indicator Title: Alpha Hunter Integrated MACD & Oscillator Pro
Short Description
A high-precision hybrid oscillator that integrates MACD dynamics with a secondary-smoothed histogram to eliminate market noise and capture trend reversals with minimal lag.
Detailed Description
Overview
The Alpha Hunter Integrated MACD & Oscillator is designed to overcome the inherent lag of standard MACD indicators. By applying an exponential moving average (EMA) filter to the histogram itself and incorporating a momentum direction check, this tool identifies high-probability entry points while filtering out "whipsaws" commonly found in choppy markets.
Key Technical Pillars
Dual-Smoothed Histogram: Unlike standard oscillators, this script smooths the raw histogram values using a secondary filtering period. This reveals the true underlying momentum before price action fully shifts.
Momentum Directional Filter: Entry signals are only triggered when the MACD line’s slope aligns with the crossover, ensuring you don't enter against a stalling trend.
Dynamic Trend Clouds: The visual fill between the MACD and Signal lines acts as a "Trend Cloud," providing immediate visual feedback on the strength and duration of the current trend.
The Winning Trading Strategy (How to Use)
To maximize win rates, it is highly recommended to use this indicator as a Confirmation Oscillator alongside a Long-term Trend Filter (like a 200 EMA) on your main chart.
1. Long Setup (Buy)
Context: Price must be trading above the 200 EMA on the main chart.
Signal: A green "BUY" triangle and label appear on the oscillator.
Confirmation: The Histogram should be green and rising.
Exit: Exit at a pre-defined Take Profit (TP) box or when a bearish MACD crossunder occurs.
2. Short Setup (Sell)
Context: Price must be trading below the 200 EMA on the main chart.
Signal: A red "SELL" triangle and label appear on the oscillator.
Confirmation: The Histogram should be red and falling.
Exit: Exit at the designated Stop Loss (SL) or when a bullish MACD crossover occurs.
Input Parameters & Optimization
Fast/Slow/Signal: Default 12, 26, 9. (Standard for most markets).
Signal Smoothing: Set to 5 for a balance of speed and reliability. Increase to 8+ for swing trading on higher timeframes.
Recommended Timeframes: 15m, 1h, and 4h for the best signal-to-noise ratio.
Author's Note
This indicator is a "No-Repaint" script. Signals are confirmed at the close of the candle to ensure reliability during live trading. Always use proper risk management.
Market Structure Break + RSI ExitSignal Architect™ — Developer Note
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across futures, algorithmic systems, options, and equity trading.
Every tool I release is built with one principle in mind:
clarity of direction without over-promising or under-delivering.
That is why all Signal Architect™ tools emphasize:
Market structure first
High-probability directional context
Clear, visual risk framing
No predictive claims, no curve-fit illusions
What you are seeing here is only a small glimpse of a much broader internal framework I actively use in live environments.
🧠 Background & Scope
Over the years, I have personally developed 800+ programs spanning:
Equities
Futures
Options
Dividend & income systems
Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several of which operate under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my full system—only educational and analytical previews designed to demonstrate how structure and probability can be aligned visually.
🤝 Support & Collaboration
If you find value in what I share:
Please subscribe, boost, and share my scripts, Ideas, and MINDS posts
You are always welcome to message me directly with questions or if you need something built or adapted
Constructive feedback and collaboration are encouraged
For traders looking to go deeper, I offer optional memberships that include:
Access to additional signals
Early previews
Occasional free tools and upgrades to support your trading journey
🔗 Membership & Signals:
trianchor.gumroad.com
⚠️ Final Note
Everything published publicly is for educational and analytical purposes only.
Markets carry risk. Discipline and risk management always come first.
— Signal Architect™
You can Find my personally developed GBT below
chatgpt.com
chatgpt.com
chatgpt.com
********************************************************************************************************************WHAT THIS INDICATOR DOES
This indicator is a structure-first breakout engine designed around how price actually transitions between balance and expansion.
It does not predict reversals.
It waits for confirmed market structure breaks, then:
Anchors risk using recent wave extremes
Projects deterministic TP/SL zones
Tracks outcomes visually and statistically
Optionally exits early when momentum exhausts (RSI fade)
This makes it ideal for:
Directional traders
Swing continuation setups
Expansion phases after compression
🧠 CORE SIGNAL ARCHITECT LOGIC
1️⃣ Market Structure Identification
The system uses pivot highs and pivot lows to define true structural levels:
Pivot High break → Long bias
Pivot Low break → Short bias
This avoids:
Random candle breakouts
Intrabar noise
False momentum spikes
Only confirmed structural levels are traded.
2️⃣ Entry Trigger (Structure Break)
A trade is triggered only when price closes through structure:
Direction Requirement
Long Close breaks above last confirmed pivot high
Short Close breaks below last confirmed pivot low
📌 Important:
No signal fires if you are already in a trade — one position at a time, clean sequencing.
3️⃣ Stop-Loss Logic (Wave-Anchored Risk)
Stops are not arbitrary.
They are anchored to:
Recent wave low (for longs)
Recent wave high (for shorts)
This ensures:
Stops sit beyond real market structure
Risk reflects actual auction failure, not candle noise
4️⃣ Take-Profit Logic (Risk × Reward)
Take-profit is mechanically derived:
TP = Risk × Risk:Reward Ratio
Examples:
RR = 1.0 → TP = same distance as SL
RR = 1.5 → TP = 1.5× SL distance
RR = 2.0 → TP = expansion-focused swings
This keeps results comparable, repeatable, and testable.
5️⃣ Optional RSI Exit (Momentum Fade)
RSI is not used for entries.
It is used only as an optional early-exit filter:
Trade RSI Condition
Long RSI crosses down from Overbought
Short RSI crosses up from Oversold
This is designed for:
Reducing give-back during exhaustion
Tight markets where expansion stalls
Volatility contraction environments
🔕 You can disable this entirely for pure structure trading.
📦 VISUAL OUTPUTS
🔲 Risk Boxes (Core Feature)
Every trade plots:
Green box = profit zone
Red box = loss zone
Boxes:
Extend forward bar-by-bar
Stop updating once trade resolves
Allow instant visual expectancy review
🔺 Signal Arrows
Green ▲ = Structure Break Long
Red ▼ = Structure Break Short
No repainting.
No intrabar guessing.
🧮 Performance Stats Table
Tracks:
Total trades
Wins
Losses
Win rate %
📌 This is contextual feedback, not a promise of future results.
🎯 RECOMMENDED TIMEFRAMES (VERY IMPORTANT)
This indicator performs best when structure matters.
⭐ PRIMARY TIMEFRAMES (Recommended)
Timeframe Use Case
15-Minute Intraday structure breaks, clean expansions
30-Minute Session-level continuation
1-Hour Swing structure, reduced noise
2-Hour Institutional rhythm, fewer false breaks
4-Hour Macro structure legs
✔ These timeframes allow pivots to form properly
✔ Stops remain structurally meaningful
✔ RR math stays realistic
⚠️ SECONDARY / CONDITIONAL
Timeframe Notes
5-Minute Use only during trend days
Daily Works well, but slower signal frequency
🚫 NOT RECOMMENDED
Timeframe Why
1–3 Minute Too much pivot distortion
Tick / Seconds Breaks structure logic entirely
This is not a scalping indicator.
🟩 BACKGROUND BIAS SHADING
Green tint → Active long bias
Red tint → Active short bias
No tint → Neutral / flat
This helps:
Avoid over-trading
Stay aligned with active structure
Recognize when the system is waiting
🧠 HOW TO USE THIS CORRECTLY
Best Practices
✔ Trade only in expansion environments
✔ Let pivots form before expecting signals
✔ Respect the stop — it is structurally valid
✔ Journal results per timeframe
Avoid
✘ Forcing trades in chop
✘ Using this as a reversal indicator
✘ Lowering timeframe to “get more signals”
⚠️ IMPORTANT DISCLAIMER
This indicator is for educational and analytical purposes only.
It does not:
Predict markets
Guarantee profits
Replace risk management
Trading involves substantial risk and can result in loss of capital.
Past performance does not guarantee future results.
NeuraCloud - Ichimoku (Purple Kumo) + Alerts (Minimal)NeuraCloud is a clean, modern interpretation of the Ichimoku Cloud, designed to identify trend direction, market structure, and key support/resistance zones at a glance.
The purple cloud (Kumo) acts as a dynamic trend filter:
• Price above the cloud indicates bullish conditions
• Price below the cloud indicates bearish conditions
• Price inside the cloud signals consolidation or uncertainty
NeuraCloud combines the cloud with Tenkan-sen and Kijun-sen to highlight momentum shifts, pullbacks, and trend continuation opportunities. Built-in alerts notify you of price/cloud breaks, momentum crosses, and cloud flips, helping you stay aligned with high-probability market structure.
Ideal for trend traders, swing traders, and multi-timeframe analysis, NeuraCloud keeps charts clean while delivering clear market context.
Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow
The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment.
By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated.
This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves.
⯁ CONCEPTS
Dynamic Volatility Channel:
Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition.
Channel Segmentation:
When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market.
Embedded Volume Profile:
Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range.
Point of Control (PoC):
The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line.
Flow Bias (Bullish/Bearish):
The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment.
Breakout Labels:
When a new channel is formed, arrows mark whether the breakout occurred upward or downward.
⯁ FEATURES
Adaptive Trend Channel Construction
Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise.
Channel Visualization Options
Choose to display full channel boxes or only trend lines using customizable styling.
Real-Time Volume Profiling
As long as the channel remains active, volume distribution is recalculated live on every bar.
PoC Projection
The PoC is drawn across the channel range, marking the highest-volume price level for each segment.
Directional Delta Coloring
Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel.
Breakout Detection
Arrows highlight each transition into a new channel regime.
⯁ HOW TO USE
Spot trend changes using breakout arrows and the creation of new trend channels.
Gauge strength of a channel by examining the density and shape of the internal volume profile.
Use PoC levels as potential support/resistance interaction zones.
Validate momentum by checking whether volume delta shows bullish or bearish dominance.
Monitor channel edges to anticipate continuation or reversal setups.
⯁ CONCLUSION
The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow.
It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
Master Cycle: Quantum Wave# AI Smart Signal: Quantum Wave Edition
**The Ultimate Market Co-Pilot: Precision Trend & Momentum Synthesis**
The **Quantum Wave** is not just another moving average; it is a sophisticated **Double-Smoothed Heiken Ashi Oscillator** designed to mathematically filter out market noise and visualize the true underlying trend structure.
This script combines three powerful engines into one "Master" system:
1. **Quantum Cycle Logic:** A proprietary algorithm that smooths price action to reveal the dominant "Heartbeat" of the market.
2. **Adaptive Momentum Visuals:** Dynamic dot sizing that reacts to volatility expansion and contraction.
3. **Smart Regime Filtering:** An AI-driven filter (ADX & Volatility) that automatically suppresses signals during dangerous "Choppy" or sideways markets.
---
## 🔬 Scientific Methodology
### 1. The Quantum Smoothing Algorithm
Most indicators suffer from "Whipsaws" (fake signals) because they react to every candle wick. The Quantum Wave solves this by creating a **Synthetic Price Series**.
* **Step 1:** It normalizes Open, High, Low, and Close data.
* **Step 2:** It applies a dual-layer Exponential Smoothing filter.
* **Result:** A clean, flowing "Ribbon" that ignores noise and only turns when the actual trend structure shifts.
### 2. Dynamic Momentum Sizing (The "Living" Dots)
The visual dots on the chart are "alive". They resize in real-time based on the **Body Strength** of the movement:
* 🔵 **Small Dots (Weak/Range):** Indicates the market is resting or deciding. *Guidance: STAY OUT / WAIT.*
* 🟢 **Medium Dots (Trend):** Indicates a confirmed healthy trend. *Guidance: ENTER / HOLD.*
* 🟡 **Large Dots (Power):** Indicates a high-volatility expansion phase. *Guidance: MAX PROFIT POTENTIAL.*
---
## 🛠️ Key Features
* **Instruction Overlay:** A built-in Dashboard tells you exactly what to do (BUY, SELL, HOLD, or WAIT) based on complex logic, simplified into one word.
* **Auto-Timeframe Detection:** The sensitivity automatically adjusts whether you are scalping (1-min) or Swing Trading (Daily).
* **Market Structure Labels:** Automatically identifies Higher Highs (HH) and Lower Lows (LL) to confirm trend direction.
* **Demand & Supply Zones:** Auto-plots key reaction levels for Take Profit targets.
---
## 🎯 How to Trade
**For a BUY Setup:**
1. **Trend:** Ensure the Quantum Wave (Dots) are **GREEN**.
2. **Momentum:** Look for the dots to grow from Small to Medium.
3. **Confirmation:** Wait for the Dashboard to read "ACTION: BUY".
**For a SELL Setup:**
1. **Trend:** Ensure the Quantum Wave (Dots) are **RED**.
2. **Momentum:** Look for the dots to grow from Small to Medium.
3. **Confirmation:** Wait for the Dashboard to read "ACTION: SELL".
---
Viper Oscillator🔶 Overview
The Mkt-Viper Oscillator is a specialized Kinetic Momentum Engine engineered for Precision Timing and energy measurement. It serves as a high-fidelity market oscilloscope, designed to decode the raw velocity of price action and identify high-probability entry and exit points with enhanced clarity.
Markets move with varying degrees of force and resistance. Mkt-Viper Oscillator analyzes this behavior by utilizing a Kinetic Momentum Model. It measures Price Displacement against Market Viscosity (a dynamic resistance filter) to determine the true energy behind a move. By filtering out low-energy "drift," this approach allows traders to gauge the true strength of a trend and identify moments of momentum exhaustion or renewal.
🔶 What makes Mkt-Viper Oscillator unique?
The Viper Oscillator distinguishes itself through its Multi-Dimensional Calculation Matrix. Rather than relying on a single data source, it fuses Price Action, Volume Flow, and Volatility (Z-Score) into a single output.
The core engine measures Market Inertia. By applying a "Denoising Kernel" and recursive smoothing algorithms, it filters out erratic ticks to visualize the smooth, hydrodynamic flow of money entering and exiting the asset, providing a clearer picture of market intent.
Main Features
🔶 The Core Oscillator
The central Line or Ribbon of the oscillator represents the "Engine Core." It visualizes the battle between momentum (Torque) and resistance (Drag).
Visual Modes:
Standard:
Uses a multi-layered rendering technique (Core + Outer Glow) to create a crisp, high-visibility "Neon" line.
Ribbon Mode:
Displays a Signal Line cross system. When the fast line crosses the slow "Trail," it signals a micro-shift in momentum.
Momentum Flips:
The oscillator plots discrete Circles on the ribbon when the slope flips direction. These mark the precise moment momentum shifts from expansion to contraction.
🔶 Kinetic Exhaustion Zones
Standard oscillators often use static lines (like 70/30) that provide little context on trend strength. The Viper Oscillator replaces these with dynamic Kinetic Exhaustion Zones.
The Logic:
These zones represent the limits of "Market Torque." Instead of a binary On/Off signal, the zones function as a gradient stress field.
Visuals (Adaptive Glow):
The system utilizes a programmed opacity gradient.
Fade In:
The zones begin to materialize when the Core passes a certain threshhold (Moderate Momentum).
Maximum Glow:
As the oscillator begins to travel deeper beyond the threshold (Peak Torque), the zones glow with maximum intensity, signaling that the move is becoming statistically stretched or overextended.
Usage:
In a strong trend, the oscillator can "pin" inside the glow zone. This is a sign of immense strength, not a reversal. The reversal signal occurs when the Core exits the glow zone and returns toward the mean.
🔶 Z-Score Velocity Line
Floating above the main oscillator is the Velocity Line (Thin Line). This is not just a second oscillator; it is a volatility-adjusted Z-Score.
The Logic:
It measures the speed of price change relative to the current volatility conditions.
Usage:
When the Velocity Line spikes aggressively while the main Oscillator moves slowly, it is an early warning sign for a potential pullback.
🔶 Money Flow Wave (Background)
The background of the oscillator features a subtle, filled "Wave." This is the Money Flow Index (MFI) overlay.
The Logic:
This layer tracks volume-weighted price action. It allows you to see Divergences between Price and Volume.
Usage:
If the Kinetic Core (Price Momentum) is making a Higher High, but the Money Flow Wave (Volume) is making a Lower Low, it indicates a "Hollow Rally" lacking institutional backing.
🔶 Sigma Sniper Signals
The system constantly monitors Volume Volatility using a 3.0 Sigma (Standard Deviation) threshold.
Visuals:
When a volume spike exceeds 3 standard deviations from the mean (a statistical anomaly), a small "⌃" or "⌄" symbol appears at the top or bottom of the panel.
Meaning:
This marks a potential Volume Climax. It signifies potential capitulation (panic selling) or euphoria (fomo buying). These points are possibly probable reversal areas.
🔶 Trend Power Bar
Located at the very bottom of the pane is the Trend Power Bar. This is a binary filter designed to keep you on the right side of the macro flow.
The Logic:
It uses a "Linkage Kernel" (Correlation Coefficient) to measure the alignment of the trend.
Green:
Macro Trend is Bullish.
Red:
Macro Trend is Bearish.
Opacity:
The bar becomes transparent when the trend is weakening, warning you of potential consolidation.
🔶 Fractal Divergences
Timing reversals requires spotting the disconnect between price and momentum. The Divergence Engine uses Fractal Geometry to detect these setups automatically.
Regular Divergence:
Draws lines connecting peaks or valleys where Price pushes further but Momentum fails to follow. These are potential reversal signals.
🔶 Synthetic Resolution Scaler (MTF)
Traders often need to see higher-timeframe momentum without changing charts. The Resolution Scaler allows you to project higher-timeframe data onto your current chart.
How it works:
Instead of using repainting request.security calls, the script mathematically scales the internal lookback periods (Lengths) to simulate higher timeframes (e.g., viewing Hourly momentum on a 15-minute chart) while maintaining smooth, real-time updates.
🔶 Visual Intelligence (Theme Engine)
Visual clarity is essential for rapid decision-making. A cluttered or poorly contrasted chart can lead to cognitive fatigue. To address this, the Viper Oscillator features a global Color Theme Engine that instantly synchronizes every element of the suite—signals, candles, clouds, and text—to a unified palette.
The Presets:
The system comes with five professionally designed profiles to suit different trading environments and lighting conditions:
Viper Original: High-contrast Neon Green & Purple (Optimized for Dark Mode).
Classic: Standard Green/Red configuration for traditionalists.
Cool Blues: A calming Blue/Violet palette designed to reduce emotional reactivity.
Ember & Ash: High-warmth Orange/Slate contrast.
Monochrome: Grayscale/Silver logic for distraction-free structural analysis.
Customization:
Traders with specific branding requirements or accessibility needs (such as color blindness) can select "Custom Theme." This unlocks distinct color inputs, allowing you to define your own specific Bullish, Bearish, and Neutral colors that instantly propagate across the entire indicator suite.
🔶 How to use: The "Timing" Workflow
Mkt-Viper Oscillator is designed to filter out premature entries. Rather than catching falling knives, we recommend a workflow based on Momentum Structure:
Strategy: Momentum Continuation (The HL/LH Setup)
The highest probability entries occur when momentum resets but the trend structure remains intact.
Trend Context:
Ensure the Trend Power Bar is Green (Bullish) or Red (Bearish).
Wait for Structure:
Do not buy the first dip. Wait for the Kinetic Core to print a Higher Low (HL) in a bullish trend or a Lower High (LH) in a bearish trend. This "Momentum Stair-Step" confirms that counter-trend energy has been exhausted.
The Trigger:
Enter when a Momentum Flip Circle (Dot) appears after this Higher Low or Lower High is established.
Exit:
Take profits when the Velocity Line spikes into the extremes or a Divergence line appears.
While powerful as a standalone unit, this engine is mathematically calibrated to pair with the Mkt-Viper Pro (Trend) and Mkt-Viper Edge (Structure) indicators.
Important:
This indicator is intended to be used with additional confluences and key areas. It is not recommended to blindly buy or sell the momentum flip dots.
🔶 Realistic Expectations & Methodology
Oscillator Lag:
All oscillators are derivative of price and inherently possess some lag. The "Kinetic" math reduces this lag significantly, but it cannot eliminate it entirely as it must process past data.
Signal Confirmation:
The "Flip Circles" and Reversal signals are confirmed on candle close. While they do not repaint history, they will wait for the bar to close before locking in. This is a safety feature to prevent fake-outs.
Trending vs. Ranging:
Oscillators perform best in Ranging markets or during Pullbacks in a trend. Using Overbought/Oversold signals blindly during a parabolic trend is dangerous, as momentum can stay "Overbought" for extended periods. Always check the Trend Power Bar context.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, back test, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
DRAMA Channel [AiQ PREMIUM]DRAMA Channel Designed by KS
AiQ PREMIUM is not just an indicator; it is a complete, visually immersive trading ecosystem designed for traders who demand precision, aesthetics, and data-driven confidence.
Built upon advanced Fractal Adaptive Moving Average (FRAMA) logic and fused with a proprietary volatility engine, AiQ PREMIUM filters out market noise to reveal high-probability institutional setups.
💎 Core Features
1. DRAMA Volatility Engine (D-FRAMA) Unlike standard Moving Averages, our adaptive algorithm adjusts to market fractal dimensions. It tightens during consolidation to avoid false signals and expands during trends to capture the full move.
2. Multi-Timeframe (MTF) Matrix Stop guessing the trend. The built-in "Trend Matrix" scans M5, M15, M30, H1, and H4 timeframes in real-time. Signals are only generated when there is a confluence of momentum.
3. AiQ Confidence Score & Win Rate The dashboard calculates a dynamic Confidence Score (1-5 Stars) based on historical performance, trend alignment, and volatility strength.
⭐⭐⭐⭐⭐ = Strong Institutional Alignment
⭐ = Risky / Counter-trend
4. Auto-Fibonacci Extensions & Risk Management
Smart Entries: Clear visual signals with glassmorphism UI.
Dynamic Risk: SL/TP are calculated using ATR (Average True Range) to adapt to market volatility.
Auto Targets: Automatically projects TP1, TP2, TP3 (Fib 2.618), and TP4 (Fib 4.236).
5. Premium Visual Experience Choose your trading personality with our Theme Engine:
🏆 Black Gold: Luxury, high-contrast dark mode.
🦄 Cyber Neon: Modern, vibrant aesthetics.
⚪ Clean Quant: Minimalist institutional look.
🛠️ How to Use
Wait for the Signal: Look for the 🚀 LONG SETUP or 🚀 SHORT SETUP badge.
Check the Stars: Ideally, take trades with 3 stars or above on the dashboard.
Confirm with Matrix: Ensure the MTF Matrix (Top Right) shows "BULL" for Longs or "BEAR" for Shorts on higher timeframes (H1/H4).
Manage the Trade:
Secure partial profits at ✅ TP1.
Move SL to Breakeven at ✅ TP2.
Let runners fly to ✅ TP3 and ✅ TP4.
⚠️ Disclaimer - Trading involves high risk. This tool is designed to assist your analysis, not to replace it. Past performance is not indicative of future results. Always use proper risk management.
15M Swing Structure & Retracement Algo (RB Trading)This script is an intraday structure analysis tool designed to map swing behavior retracement zones and projected extensions on the fifteen minute chart. It is purpose built for EUR/USD GBP/CAD and USD/CAD and is not intended for other markets or timeframes.
The tool highlights mathematically derived retracement areas after confirmed swing formations to help traders evaluate structure rather than predict direction.
Intended Use
✓ Timeframe fifteen minute only
✓ Markets EUR/USD GBP/CAD USD/CAD
✓ Style intraday swing structure analysis
✓ Best during London and New York sessions
✓ Not designed for Asia session conditions
Core Logic
✓ Swing highs and lows detected using a configurable lookback
✓ Trend context defined by 50 and 200 EMA relationship
✓ Swing range measured between most recent confirmed pivots
✓ Key retracement zone calculated between 50 and 61.8 percent
✓ Extension reference levels projected beyond the swing range
Visual Output
✓ Swing connection line marking the measured range
✓ Retracement zone shading when price enters the 50 to 61.8 area
✓ Extension reference levels at 161.8 200 and 261.8
✓ Color coding reflects structural context
• Green for bullish structure
• Red for bearish structure
Using RB Trading DeM Bars for Confirmation
For additional confirmation users can combine this script with the free RB Trading DeM Bars indicator.
✓ The DeM Bars appear as a histogram at the bottom of the chart
✓ Best used to assess pullback quality into the retracement zone
✓ Ideal confirmation occurs when momentum fades during the pullback
✓ Expansion in momentum as price exits the zone supports continuation
The DeM Bars are not a signal tool on their own. They are designed to confirm exhaustion or reacceleration as price interacts with the structural retracement area.
Why Fifteen Minute
The calculations are calibrated for intraday behavior on the fifteen minute chart. Higher timeframes develop structure too slowly for active evaluation. Lower timeframes introduce excess noise and reduce swing reliability.
Structure Interpretation
Bullish structure
✓ 50 EMA above 200 EMA
✓ Retracements measured from swing high
✓ Extensions projected higher
Bearish structure
✓ 50 EMA below 200 EMA
✓ Retracements measured from swing low
✓ Extensions projected lower
The script reflects current structure only. It does not determine trade direction or outcome.
Inputs
✓ EMA lengths adjustable
✓ Swing lookback sensitivity
✓ Optional display toggles for zones lines and labels
✓ Reference level buffer for spread or volatility awareness
Important Notes
This tool analyzes historical price structure only. It does not provide entry signals predictions or guarantees. All levels are mathematical projections based on past price action and may or may not be respected in future movement.
Educational use only. Proper risk management is required. Test thoroughly before live application.
RB Trading
VTRADEVTRADE — это overlay-инструмент для графика, который объединяет сигнальные модули и контекст рынка в одном скрипте. Он создан для трейдеров, которым важны чистый график, наглядные подсказки и возможность быстро настроить отображение под свой стиль торговли.
Ключевые возможности
Два независимых блока сигналов:
VTRADE-1 — более избирательные сигналы (акцент на качество).
VTRADE-Pulse — более быстрые и реактивные сигналы (акцент на своевременность).
Наглядная визуализация:
Сигнальные вертикальные линии и метки на графике.
Гибкие переключатели отображения, чтобы оставлять только нужное.
Дополнительный контекст:
Bollinger Bands со встроенной подсветкой Squeeze (зоны потенциального расширения волатильности).
HVP (Volume Profile) для выделения ключевых объёмных уровней.
MA (до 4 линий) для ориентира по тренду.
Польза:
Быстрое чтение рынка: сигнал + контекст (волатильность/объём/тренд).
Меньше визуального шума за счёт гибких настроек.
Удобно для работы через TradingView Alerts.
Важно: скрипт публикуется как Invite-Only. Внутренняя методология является авторской и не раскрывается.
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ENG:
VTRADE is an overlay chart tool that combines signal modules and market context in a single script. It’s built for traders who value a clean chart, clear visual cues, and the ability to quickly tailor what’s displayed to their trading style.
Key features
Two independent signal blocks:
VTRADE-1 — more selective signals (focus on quality).
VTRADE-Pulse — faster, more reactive signals (focus on timing).
Clear visualization:
Signal vertical lines and labels on the chart.
Flexible display toggles so you can keep only what you need.
Additional context:
Bollinger Bands with built-in Squeeze highlighting (areas of potential volatility expansion).
HVP (Volume Profile) to highlight key volume-based levels.
MA (up to 4 lines) for trend guidance.
Benefits:
Faster market reading: signal + context (volatility/volume/trend).
Less visual noise thanks to flexible settings.
Convenient for use with TradingView Alerts.
Important: the script is published as Invite-Only. The internal methodology is proprietary and is not disclosed.
Alpha Hunter System [MTF + Risk Manager] by Amit NamdeoThis is a comprehensive, "Institutional-Grade" Trend Following System. It is designed not just to give signals, but to filter out bad trades, manage risk automatically, and help you exit at the right time.
Here is a breakdown of exactly how your script works:
1. The Core Engine (High/Low Channel)
The Foundation: Instead of a single line, the script creates a Channel using two Exponential Moving Averages (EMAs).
Green Line: 50 EMA calculated on the Highs of the candles.
Red Line: 50 EMA calculated on the Lows of the candles.
The Logic: This creates a "No-Trade Zone" in the middle.
BUY Signal: Generated when price forcefully breaks above the Green High band.
SELL Signal: Generated when price forcefully breaks below the Red Low band.
2. The "Smart Filters" (Safety Mechanisms)
To prevent false signals (whipsaws), the script checks three separate conditions before showing a Buy or Sell label:
A. Sensitivity Filter (ATR): The price must not just touch the line; it must break it by a specific margin (based on Volatility/ATR). This filters out small wicks.
B. Volume Filter: A breakout is ignored if the Volume is low. The script requires the breakout candle's volume to be higher than the recent average. This ensures "Smart Money" supports the move.
C. Sideways Filter (ADX): Uses the Average Directional Index (ADX). If the trend is weak (ADX < 20), the channel turns Gray and blocks all signals. This saves you from trading in choppy, flat markets.
D. Multi-Timeframe (MTF) Consensus: This is the "60% Rule." The script secretly checks the trend on the 5m, 15m, 1H, 4H, and Daily charts. It only allows a signal if the majority of these timeframes agree with the direction.
3. Automatic Risk Management
This feature automates the math that professional traders usually do in Excel:
Dynamic Stop Loss (SL):
On a Buy, the SL is set to the Red (Low) Band.
On a Sell, the SL is set to the Green (High) Band.
Why? This adapts the SL to the current market volatility.
Take Profit Targets (TP):
It calculates your Risk (Entry - SL).
TP1: 1.5x Risk.
TP2: 2.5x Risk.
TP3: 4.0x Risk.
Visuals: It draws these lines on the chart immediately when a signal appears, so you know exactly where to place your orders.
4. Trailing Stop (The Purple Line)
What it is: A dynamic Purple Line that appears behind the candles.
How it works: It acts like a "Chandelier Exit."
As price moves in your favor, the line moves up to lock in profit.
It never moves backward.
Exit Rule: If a candle closes across this purple line, the trend is likely over, and you should exit.
Live Label: A label follows the line showing the exact price (e.g., "Trail SL: 1950.2") so you can update your order easily.
5. Alerts & Dashboard
Dashboard (Top Right): A live status panel showing:
Current Trend (Bullish/Bearish/Sideways).
MTF Consensus (Are the other timeframes agreeing?).
Volume Status (Pass/Fail).
Alerts: You can set phone/desktop notifications for:
Entries: Buy/Sell.
Targets: TP1, TP2, TP3 Hit.
Safety: Trailing Stop Hit (Exit trade).
Summary of Visual Colors
🟢 Green Channel: Bullish Trend (Look for Buys).
🔴 Red Channel: Bearish Trend (Look for Sells).
⚪ Gray Channel: Sideways Market (Do Not Trade).
🟣 Purple Line: Your Trailing Stop Loss.
Angle-able Thick Linean options to get thicker/thick trendlines. personally i dont think 4 pixels is wide enough so i made this, here you go
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble
Executive Summary:
The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms.
Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail.
This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics.
1. The Core Philosophy: Why "Slope" Matters:
In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope.
This script introduces a novel approach: Slope Fitting.
Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?"
The Dual-Functionality of the Normalized Oscillator
The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously:
Directional Bias (The Slope):
When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights.
Overbought / Oversold (OB/OS) Identification:
Because the output is mathematically clipped and normalized:
Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion.
Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone.
Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift.
2. The "Mixture of Experts" (MoE) Architecture:
Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes.
This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome.
The 13 "Experts" Inside the Code:
All algorithms have been engineered to be Non-Repainting.
Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth.
Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points.
Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points.
Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs.
Coppock Curve: A momentum indicator originally designed for long-term market bottoms.
Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles.
MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns.
Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies.
Hilbert Transform: Measures the instantaneous position of the cycle.
Autocorrelation: measures the correlation of the current price series with a lagged version of itself.
SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting).
Wavelet (Simplified): Decomposes price into approximation and detail coefficients.
EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory.
3. The Adaptive "GBM" Learning Engine
This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart.
How it works:
Fitting Window: On every bar, the system looks back 20 days (configurable).
Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price.
Directional Bonus: It checks if the algorithm is pointing in the same direction as the price.
Weight Optimization:
Algorithms that match the price direction and correlation receive a higher "Fit Score."
Algorithms that diverge from price action are penalized.
A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively.
The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top.
4. How to Read the Interface:
The visual interface is designed for maximum information density without clutter.
The Dashboard (Bottom Left - GBM Stats)
Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise.
Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend).
Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision.
The Matrix (Bottom Right - Weight Table)
This table lifts the hood on the engine.
Fit Score: How well this specific algo is performing right now.
Corr/Dir: Raw correlation and Direction Match stats.
Weight: The actual percentage influence this algorithm has on the final line.
Cycle: The current value of that specific algorithm.
Regime: Identifies if the consensus is Bullish, Bearish, or Neutral.
The Chart Overlay
The Line: The Gradient-Colored line is the Weighted Ensemble Prediction.
Green: Bullish Slope.
Red: Bearish Slope.
Triangles: Zero-Cross signals (Bullish/Bearish).
"STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum.
Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down).
5. Trading Strategies:
A. The Slope Reversal (OB/OS Fade)
Concept: Catching tops and bottoms using the -1/+1 normalization.
Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8).
Trigger: The entry is taken not when it hits the level, but when the Slope flips.
Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative).
Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive).
B. The Zero-Line Trend Join
Concept: Joining an established trend after a correction.
Signal: Price is trending, but the Cycle pulls back to the Zero line.
Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend.
C. Divergence Analysis
Concept: Using the "Fit Score" to identify weak moves.
Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High.
Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning.
6. Technical Configuration:
Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability.
GBM Learning Rate (Default: 0.25): Controls how fast weights change.
High (>0.3): The system reacts instantly to new behaviors but may be "jumpy."
Low (<0.15): The system is very smooth but may lag in regime changes.
Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains.
Slope Lookback: The period over which the slope (velocity) is calculated.
7. Disclaimer & Notes:
Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals.
Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box.
Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management.
Author's Note
The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream.
If you find this tool useful, please leave a Boost and a Comment below!
SA VWAP RSI Gamma ExpressSIGNAL ARCHITECT™ — VWAP + RSI + Gamma Express
Reduced Gate | Intraday Structure Engine
Overview
The VWAP + RSI + Gamma Express is a structure-first intraday signal engine designed to identify high-probability reversals and momentum expansions around VWAP, RSI regime shifts, and synthetic gamma-wall behavior.
This tool does not predict price.
It highlights where price is statistically more likely to respond based on participation, positioning, and momentum confirmation.
Core Logic (How It Works)
This study combines three structural layers:
1) VWAP Location
VWAP defines the institutional mean
Signals only trigger when price reclaims or rejects VWAP
Eliminates low-quality mid-range chop
2) RSI Regime Behavior
Reversal Logic
Bullish: VWAP reclaim after RSI has been oversold
Bearish: VWAP rejection after RSI has been overbought
Expansion Logic
Bullish: RSI ≥ 60 while holding above VWAP
Bearish: RSI ≤ 40 while holding below VWAP
Prevents chasing late or exhausted moves
3) Gamma Proxy (Optional Gate)
Uses synthetic strike proximity + volume behavior
Helps detect areas where dealer hedging or pinning behavior may amplify follow-through
Can be toggled ON/OFF depending on market conditions
Signal Types
BULL REV (Bullish Reversal)
VWAP cross upward
Prior RSI oversold
Indicates absorption → directional shift
BULL EXP (Bullish Expansion)
Above VWAP
RSI expansion (≥ 60)
Optional gamma confirmation
Indicates momentum continuation
BEAR REV (Bearish Reversal)
VWAP cross downward
Prior RSI overbought
Indicates distribution → downside response
BEAR EXP (Bearish Expansion)
Below VWAP
RSI deflation (≤ 40)
Optional gamma confirmation
Indicates downside continuation
Bar Coloring (Important)
Green Bars → Bullish structure confirmed
Red Bars → Bearish structure confirmed
Gray Bars → Undefined trading conditions
⚠️ Gray bars mean CAUTION IS ELEVATED
Structure is incomplete
VWAP / RSI / Gamma alignment is missing
Best used for observation, not execution
Gray = wait for confirmation, not force a trade.
Recommended Timeframes
⭐ 5-Minute is the PRIMARY and FAVORITE timeframe
Best balance of signal clarity and execution precision
Ideal for NQ / ES intraday structure
Captures real institutional behavior without micro noise
Secondary Use:
15m → intraday bias confirmation
1H → session-level context
Lower than 5m = execution only (not signal truth)
Best Use Cases
VWAP reclaim / rejection days
Trend days with pullback continuation
Opening range transitions
Post-news stabilization phases
Futures, index ETFs, and highly liquid equities
What This Tool Is NOT
❌ Not a buy/sell command system
❌ Not predictive or future-forecasting
❌ Not designed for low-liquidity assets
This is a structure + confirmation engine, not a signal spam tool.
Risk & Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice. Trading involves substantial risk, and past performance does not guarantee future results. Always use proper risk management.
Signal Indicator
trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
SA Fib 22 Fib 72 Reaction SuiteSIGNAL ARCHITECT™ — Fib 22 + Fib 72 Reaction Suite
4-Hour Timeframe Use Case Guide
🔍 WHAT THIS STUDY DOES (4H CONTEXT)
The Fib 22 + Fib 72 Reaction Suite is a reaction-based market structure tool, not a predictive indicator.
On the 4-Hour timeframe, this study is designed to identify:
Institutional decision zones
Defensive reactions vs momentum continuation
Where price must respond, not where it “might” go
Rather than forecasting direction, the study highlights high-probability reaction areas derived from the recent structural range.
📐 CORE LOGIC OVERVIEW
This system operates with two distinct Fibonacci behavior zones, each serving a different market function:
🔹 Fib 72 — Decision / Defense Zone
Represents upper structural participation
No trend filter applied
Used to detect:
Bullish defense (reclaim)
Bearish rejection (failure)
Ideal for:
Swing inflection
Range resolution
Institutional defense zones
🔹 Fib 22 — Momentum Continuation Zone
Represents lower retracement continuation
Requires trend alignment
Used to confirm:
Continuation after pullbacks
Trend-validated re-entries
Ideal for:
Trend continuation
Add-on positioning
Directional confirmation
🕒 WHY THE 4-HOUR TIMEFRAME WORKS BEST
On the 4H chart, this system becomes a swing-grade structural map rather than a short-term signal tool.
Best characteristics on 4H:
Filters out intraday noise
Captures multi-day institutional positioning
Aligns well with:
Macro rotations
Sector moves
Index rebalancing flows
This timeframe is especially effective for:
Swing traders
Position builders
Portfolio bias confirmation
🧭 HOW TO INTERPRET SIGNALS (4H)
🟢 BULL 72 (Defense / Reclaim)
Price tests Fib 72
Successfully reclaims with confirmation
Indicates:
Buyers defending higher structure
Failed breakdown attempt
Potential upside continuation or range hold
🔴 BEAR 72 (Rejection)
Price tests Fib 72
Fails and rejects lower
Indicates:
Supply defending structure
Failed breakout attempt
Potential downside rotation
🟢 BULL 22 (Momentum Continuation)
Price retraces to Fib 22
Trend filter must confirm
Indicates:
Healthy pullback in an uptrend
Institutional continuation zone
Momentum resumption potential
🔴 BEAR 22 (Momentum Continuation)
Price retraces to upper Fib 22 (bear side)
Trend filter must confirm
Indicates:
Controlled pullback in a downtrend
Continuation after relief
Trend-aligned downside pressure
🎯 BEST USE CASES (4H)
✔ Swing bias confirmation
✔ Multi-day trade planning
✔ Trend continuation validation
✔ Structural reaction analysis
✔ Pairing with:
Weekly levels
Volume profile
Auction / VWAP frameworks
Macro rotation analysis
🚫 Not intended for:
Scalping
Tick-by-tick execution
Standalone entry timing
⚠️ IMPORTANT NOTES
Signals do not predict future price
Signals identify reaction zones only
Always wait for confirmation behavior
Best used as a context layer, not a trigger alone
⚖️ DISCLAIMER (MANDATORY)
This script is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security or instrument.
Trading and investing involve substantial risk, including the possible loss of principal.
Past performance is not indicative of future results.
You are solely responsible for your trading decisions, risk management, and compliance with all applicable laws and regulations.
By using this script, you acknowledge and accept these risks.
Signal To trade along with the indicator
trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
Multi Asset & Multi Timeframe Trend DashboardOverview
The Multi-Asset & Multi-Timeframe Trend Dashboard is a comprehensive visual data terminal designed to provide a bird's-eye view of market sentiment across five different assets and seven distinct timeframes simultaneously. By consolidating 10 core technical indicators into a single table, it eliminates the need for "chart hopping" and helps traders identify high-probability trend alignment.
How It Works
The dashboard evaluates each asset based on a Scoring System ($-10$ to $+10$). For every timeframe, the script analyzes the following 10 conditions:
Trend: EMA 20 > EMA 50Macro
Trend: EMA 50 > EMA 200
Position: Price > EMA 200
MACD: MACD Line > Signal Line
MACD Momentum: MACD Histogram > 0
RSI Momentum: RSI(14) > RSI SMA(14)
RSI Level: RSI(14) > 50
Stochastics: Stoch K > D
CCI: Commodity Channel Index > 0
Awesome Oscillator: AO > 0
Visual Logic & Features
Indicator Dots (■): Represent the 10 individual technical conditions. Green indicates a bullish state; Red indicates a bearish state.
Trend Arrows (▲/▼): Displays the aggregate directional bias of a timeframe based on the sum of the 10 dots.
Neutral State (✖): If indicators are split 50/50 (Score of 0), a grey cross is displayed to indicate total market indecision.
"ALL" Column: A macro-summary that aggregates scores across all four primary timeframes.
Volatility Marker (•): A dot appearing next to the symbol name indicates that current ATR is higher than the historical average (user-defined threshold).
Market Status Color: The symbol name background turns Green if the market is currently open and active, and Red if it is closed or stagnant.
Technical Implementation
This script utilizes request.security calls to fetch data across timeframes. To ensure performance and prevent repainting issues, all security calls are handled using the barstate.islast flag to only render the dashboard on the most recent bar.
How to Use
Alignment Trading: Look for "Full House" scenarios where all arrows (15m through Daily) are the same color.
Scalping Bias: Use the "Mini Timeframes" (1m, 3m, 5m) to find entries that align with the higher timeframe trend shown in the main table.
Volatility Filter: Only take trades when the volatility marker (•) is active to ensure there is enough "power" in the move.
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.
Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview
The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements.
🟢 How It Works
The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level.
Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification:
getDelta() =>
close > open ? volume : close < open ? -volume : 0
When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar:
array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta())
float barDelta = 0.0
if array.size(deltaValues) > 0
for i = 0 to array.size(deltaValues) - 1
barDelta := barDelta + array.get(deltaValues, i)
This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations:
rawCVD = ta.cum(barDelta) // Cumulative sum from chart start
smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction
rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation
Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView.
🟢 Key Features
The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions.
1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals.
2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes.
3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings.
4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume.
5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels.
▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders.
▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
EMA + PDH/PDL 2 Days [Scalping-Algo]🎯 Overview
A clean, focused scalping indicator designed for 2-minute and 4-minute stock charts. Combines trend-following EMAs with key daily support/resistance zones to identify high-probability scalp entries.
🛠️ What's Included
ComponentDescription🟡 EMA 13Fast momentum line🟣 EMA 48Medium trend filter🔴 EMA 200Major trend direction🔵 PDH/PDLPrevious day high & low zones🟠 PDH-2/PDL-22 days ago high & low zones
⏰ Session Filter
Only displays levels during regular trading hours (9:30 AM - 4:00 PM EST) to keep your chart clean during pre/post market.
📊 How to Use for Scalping
✅ Long Setup (2m/4m chart)
Price above EMA 200 (bullish bias)
Price pulls back to PDH/PDL zone or EMA 48
EMA 13 crosses above EMA 48
Enter on bounce from zone
Target: next resistance zone or 1:2 R/R
❌ Short Setup (2m/4m chart)
Price below EMA 200 (bearish bias)
Price rallies into PDH/PDL zone or EMA 48
EMA 13 crosses below EMA 48
Enter on rejection from zone
Target: next support zone or 1:2 R/R
💡 Pro Tips
TipWhy🔥 Trade the first hourMost volume & volatility🎯 Zone confluenceBest setups when PDH/PDL aligns with EMAs⚡ Quick exitsScalping = small gains, don't overstay🚫 Avoid chopSkip trades when price is stuck between zones📉 Respect EMA 200Don't long below it, don't short above it
🔵 Zone Colors Explained
Blue zones → Yesterday's high/low (stronger levels)
Orange zones → 2 days ago high/low (secondary levels)
Zone thickness → 20 ticks buffer for natural price noise
⚙️ Best Settings
TimeframeBest For2 minuteQuick scalps, 5-15 cent targets4 minuteSlightly larger moves, less noise
📌 Recommended Pairs
Works best on liquid stocks with tight spreads:
SPY, QQQ, AAPL, TSLA, AMD, NVDA, META, AMZN
⚠️ Risk Management
RuleSuggestion🛑 Stop lossBelow/above the zone (tight)🎯 Take profit1:2 or 1:3 risk/reward minimum📏 Position sizeMax 1-2% account risk per trade
🚀 Quick Start
Add indicator to 2m or 4m chart
Wait for price to reach a colored zone
Confirm trend direction with EMA 200
Look for EMA 13/48 alignment
Enter with tight stop, scale out at targets
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection
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█ ORIGINALITY
This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets.
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█ WHAT IT DOES
- Generates BUY/SELL signals using machine learning classification
- Displays kernel regression estimate for trend visualization
- Shows prediction values on each bar
- Provides trade statistics (Win Rate, W/L Ratio)
- Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA)
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█ HOW IT WORKS
【Lorentzian Distance Calculation】
Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation:
d = Σ log(1 + |xi - yi|)
This provides:
- Better handling of outliers
- More stable distance measurements
- Reduced sensitivity to extreme values
【Feature Engineering】
The classifier uses up to 5 configurable features:
- RSI (Relative Strength Index)
- WT (WaveTrend)
- CCI (Commodity Channel Index)
- ADX (Average Directional Index)
Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions.
【k-Nearest Neighbors Classification】
1. Calculate Lorentzian distance between current bar and historical bars
2. Find k nearest neighbors (default: 8)
3. Sum predictions from neighbors
4. Generate signal based on prediction sum (>0 = Long, <0 = Short)
【Kernel Regression】
Uses Rational Quadratic kernel for smooth trend estimation:
- Lookback Window: 8
- Relative Weighting: 8
- Regression Level: 25
【Filters】
- Volatility Filter: Filters signals during extreme volatility
- Regime Filter: Identifies market regime using threshold
- ADX Filter: Confirms trend strength
- EMA/SMA Filter: Trend direction confirmation
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H, Daily
- Neighbors Count: 8 (default)
- Feature Count: 5 for comprehensive analysis
【Signal Interpretation】
- Green BUY label: Long entry signal
- Red SELL label: Short entry signal
- Bar colors: Green (bullish) / Red (bearish) prediction strength
【Trade Statistics Panel】
- Winrate: Historical win percentage
- Trades: Total (Wins|Losses)
- WL Ratio: Win/Loss ratio
- Early Signal Flips: Premature signal changes
【Filter Recommendations】
- Enable Volatility Filter for ranging markets
- Enable Regime Filter for trend confirmation
- Use EMA Filter (200) for higher timeframes
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█ CREDITS
Original Lorentzian Classification concept and MLExtensions library by jdehorty.
Enhanced with visual modifications and alert integration by EduVest.
License: Mozilla Public License 2.0
