DayTradeMind Combined High Win Rate IndicatorThis is a combined confirmation indicator that generates buy/sell signals only when multiple technical indicators align. It's designed to improve win rates by requiring confluence before triggering trades.
Core Components
1. MACD (Moving Average Convergence Divergence)
Detects momentum shifts through line crossovers
Acts as both a confirmation tool and a trigger mechanism
2. Donchian Channels
Tracks 20-period price range
Uses middle line to determine trend (price above = bullish, below = bearish)
3. SuperTrend
ATR-based trend following indicator
Provides clear bullish/bearish trend direction
4. %B Bollinger Bands
Measures price position within Bollinger Bands
Identifies oversold (buying opportunity) and overbought (selling opportunity) conditions
Signal Logic
The indicator uses a confirmation counting system:
Minimum Confirmations: Default requires 2 out of 4 indicators to agree
Buy Signal: Requires minimum bullish confirmations + a fresh trigger (MACD crossover or price crossing above Donchian middle)
Sell Signal: Requires minimum bearish confirmations + a fresh trigger (MACD crossunder or price crossing below Donchian middle)
This dual-requirement (confirmations + trigger) helps avoid late entries by ensuring fresh momentum.
Key Features
Adjustable sensitivity: Change minimum confirmations (1-4) to balance signal frequency vs. quality
Visual dashboard: Optional stats panel showing current market conditions
Built-in alerts: Automated notifications for trade setups
Clean visualization: BUY/SELL labels directly on the chart
Oscylatory
Market Stress IndicatorMeasures Market Stress
Extreme high or low reading might signal a reversal or breakout - sometimes more time is needed and look divergences.
Feedback is welcome
TL Control PanelThe TL Control Panel is a comprehensive multi-timeframe dashboard that displays TrapLight signals across 8 different timeframes simultaneously (1m, 5m, 10m, 15m, 30m, 1h, 4h, Daily).
FEATURES:
• TL Column: Shows the Stochastic RSI K value with intelligent color coding:
- Bright Red (99.5-100): Max Sell zone
- Dim Red (95-99.5): Sell zone
- Yellow (5-95): Not Ready zone
- Dim Green (0.5-5): Buy zone
- Bright Green (0-0.5): Max Buy zone
• K/K Column: Displays Kriss/Kross signals when the 10 EMA crosses the 50 EMA
- Blue box = Kriss (10 crossed above 50 - Buy)
- Yellow box = Kross (10 crossed below 50 - Sell)
• GK Column: Shows Golden Kross signals (50 EMA crosses above 200 EMA - Buy)
• DK Column: Shows Death Kross signals (50 EMA crosses below 200 EMA - Sell)
All timeframes are fully customizable, allowing traders to enable/disable specific intervals. The dashboard provides instant visual confirmation of trend alignment across multiple timeframes, helping traders identify high-probability entry and exit points at a glance.
Elite Risk-On/Risk-Off Oscillator (6 pairs) The Elite Risk-On / Risk-Off Oscillator is a market-regime indicator designed to determine whether conditions favor aggressive risk-taking or defensive capital preservation rather than to predict price direction.
It combines six carefully selected relative-strength pairs that measure risk appetite across the most important parts of the market:
IEI/HYG (credit stress, weighted most heavily because credit often leads equities)
SPHB/SPLV (equity risk appetite via high-beta versus low-volatility stocks)
IWM/SPY (liquidity and growth sensitivity through small-caps versus large-caps)
MTUM/QUAL (trend durability versus balance-sheet quality)
XLY/XLP (consumer cyclicality, wants versus needs)
EEM/SPY (global risk and dollar-sensitive capital flows)
Each pair is evaluated using relative performance against a moving-average and slope filter to classify it as risk-on (+1), neutral (0), or risk-off (-1), with defensive ratios inverted so that positive readings always indicate risk-on conditions; the weighted signals are then aggregated, normalized to a -100 to +100 scale, and smoothed into a single oscillator. Readings above approximately +40 indicate a supportive risk-on environment where trends are more likely to persist, readings between -40 and +40 reflect transitional or choppy conditions with lower conviction, and readings below -40 signal a risk-off regime where capital preservation and defense should be prioritized.
The indicator is intended as a context and position-sizing tool, helping traders align strategy aggressiveness with underlying market conditions rather than relying on forecasts or narratives.
HoneG_CCIv17HoneG_CCIv17
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
CRR Trend Conformator v1.2CRR Trend Conformator v1.1 (Invite-Only)
CRR Trend Conformator v1.1 is an analysis-only momentum and trend alignment tool designed to help traders visually assess whether market conditions are conforming or diverging across multiple internal oscillators.
This indicator combines:
A higher-cycle stochastic structure to observe broader momentum positioning
A lower-cycle stochastic comparison to reflect short-term directional pressure
A custom RSI-based banker momentum module to highlight internal strength and stability
All parameters are pre-configured and locked to preserve consistency, reduce curve-fitting, and maintain a standardized analytical framework across markets and timeframes.
How it is intended to be used
To observe trend harmony between momentum layers
To assist in identifying momentum expansion, compression, or imbalance
To support contextual market analysis, not standalone decision-making
Important Notes
This is an invite-only, proprietary analytical tool
It is not a trading strategy and does not generate buy or sell signals
Intended strictly for educational and analytical purposes
Users should always apply independent judgment and risk managemen
Forecast OscillatorGeneral Overview
The Forecast Oscillator Plus (FOSC+) is not just another oscillator. It is an advanced quantitative analysis tool developed to bridge the gap left by traditional momentum indicators (like RSI or Stochastic) which often suffer from "lag" or remain pinned in extreme zones during strong trends.
This "Plus" version has been specifically engineered and optimized for high-velocity scalping and day-trading on assets like NAS100 (Nasdaq) and XAUUSD (Gold) using ultra-short timeframes (1-min, 5-min).
🛡️ Why is FOSC+ Different?
1. Linear Regression Intelligence
At the heart of this script is a powerful Linear Regression (LinReg) engine. Instead of comparing price to a simple average, FOSC+ calculates the percentage deviation between the current price and its predicted theoretical trajectory. This allows the indicator to identify not just if the price is "high" or "low," but if it is abnormally distanced from its current trend, signaling an imminent Mean Reversion.
2. Adaptive Dynamic Bands (Volatility-Adjusted)
A major weakness of classic oscillators is the use of fixed levels (e.g., 80/20). FOSC+ utilizes Standard Deviation to generate overbought and oversold zones that "breathe" with the market.
During high volatility, the bands expand to filter out noise and premature entries.
During low volatility, they tighten to capture precise turning points.
3. Institutional Volume Filter (Anti-Fakeout)
To succeed in the Nasdaq market, you must follow the "Smart Money." This script integrates a Volume Spike Filter. A signal (Buy/Sell) is only triggered if the current candle's volume is significantly higher than its moving average (adjustable multiplier). This ensures you only enter trades backed by real institutional strength.
4. Algo-Ready for PineConnector
The code has been structured for seamless automation. With built-in EMA smoothing to reduce 1-minute "market chatter," the signals are clean and sharp, minimizing execution errors when sending orders to MetaTrader 5 via PineConnector.
📈 Technical Trading Guide
Buy Signals (Green Triangle): Occur when the oscillator crosses above the dynamic oversold band OR crosses back above the zero line, provided that volume confirms the impulse.
Sell Signals (Red Triangle): Occur when the oscillator crosses below the dynamic overbought band OR breaks below the zero line from above, with volume confirmation.
Momentum Histogram: The colored columns indicate acceleration strength. Excellent for Trailing Stops: as long as the histogram is growing, the momentum is in your favor!.
⚙️ Recommended Parameters
Length (14): The "Sweet Spot" for balancing reactivity and reliability.
Smooth Len (4): Essential for 1-min charts to eliminate micro-fluctuations without adding lag.
Volume Mult (1.15): Filters out the bottom 15% of volume to keep only significant candles.
⚠️ Stress-Tested for Real Conditions
This script has been rigorously backtested with Slippage settings ranging from 10 to 25 points. Even under difficult market conditions with high spreads, the indicator maintains a positive expectancy, making it a premier tool for traders using Standard or Raw accounts.
TQQQ Framework v6This script is a simple trend‑following framework for trading TQQQ that combines long‑term bias, short‑term momentum, and mean reversion into one visual tool. It plots three moving averages (250‑SMA, 50‑SMA, 21‑EMA), colors the background by trend regime, and prints buy markers when price regains momentum in a bullish environment.
What it does
Uses a 250‑period SMA as the structural “bull/bear regime” filter, only looking for longs when price is above this line.
Uses a 21‑period EMA as the short‑term momentum line, turning green when price is above it and red when price is below it.
Uses a 50‑period SMA as a mean‑reversion reference level, plotted as a softer blue band for pullback zones.
Visual cues
Background turns green when price is above the 250‑SMA (TQQQ bullish focus) and red when below it (implying SQQQ or defensive stance).
The 21‑EMA color shifts dynamically (green/red), giving an immediate read on short‑term momentum without extra indicators.
Signal logic
Generates a buy signal only when:
The market is in a bullish regime (close > 250‑SMA), and
Price crosses back above the 21‑EMA, indicating momentum has resumed after weakness.
Marks this event with a triangle below the bar and exposes an alert condition so it can trigger TQQQ buy alerts automatically.
Related
Summarize main strategy rules in the script
List all user-configurable inputs and defaults
Explain allocation and position sizing logic used
Describe the risk management and stop rules
Identify indicators and formulas implemented in code
BE-QuantFlow: Adaptive Momentum Scalper█ Overview: QuantFlow: Adaptive Momentum Scalper
QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. it is an automated trade manager for indices. BE-QuantFlow acts as a Co-Pilot, analyzing how fast you are driving (Momentum) and how bumpy the road is (Volatility) to decide not just when to enter, but how to manage the gear shifts (hedging) safely.
🧠 How It Calculates
Momentum (The Speed) : Standard indicators (like RSI) treat every price candle equally. BE-QuantFlow uses a "Weighted Memory." It gives far more importance to what happened just now compared to 10 minutes ago. It checks the "Sustainance"—is the price closing near its high (strong buyers) or leaving long wicks (weak buyers)? This creates a "Weighted Score" that reacts instantly to fresh power.
Volatility (The Road Condition) : The script measures the movement of the current candle and sorts every single bar into three buckets: Small (Quiet), Mid (Normal), or Tall (Dangerous). in proportion to eating up the move done in the recent past.
🎯 When does an Entry Become "Valid"?
Conceptually, the script looks for a specific market state before taking a trade:
The "Wake Up" Phase: The market must transition from a "Sleep" state (low volatility, sideways movement) to an "Awake" state.
Unidirectional Energy: script don't just look for price going up / down. It looks for Agreement. This happens when the Volatility (expansion of range) aligns perfectly with Momentum (speed of buying/selling).
The View: A entry is valid when the market stops "chopping" up and down and starts "stretching" in one direction. The script waits for that precise moment where the "rubber band" stretches enough to confirm a move, but not so much that it's about to snap back.
█ The Scalping Engine: Hedging Made Simple
For a trader new to options, your biggest enemy is Time Decay (Theta). This script fights Time Decay using two specific "Defense Modes."
A. The "Flip" (The Shield)
When it happens: You are in a trade (e.g., Bought a Call), and the price starts moving slightly against you. It hasn't hit your Stop Loss, but the move is struggling (The Pull Back).
The View: "The trend is taking a break or pulling back."
The Action: The script automatically Hedges brought Option to yeild you a little while protecting further loss. It just turns a "waiting period" / "neutral period."
B. The "Spread" (The Anchor)
When it happens: The trade is going your way, but very slowly. Momentum is dropping.
The View: "We are winning, but Time Decay might eat our profits before we reach the target."
The Action: The script converts your trade into a Spread.
Why? This cancels out the effect of Time Decay. It anchors your profit, allowing you to stay in the trade longer without losing value to time.
█ The "Intra-Bar" Method (Crucial for Scalpers)
This is an Aggressive System . waiting for a candle to close (e.g., waiting 5 minutes) before giving a signal. In scalping, 5 minutes is an eternity. This is only and only for the Scalpers. It is designed to enter fast, capture quick moves, and exit or adjust immediately if the market conditions change.
Real-Time Logic : BE-QuantFlow calculates logic on every tick (every price change). It screams "GO" the second a condition is met.
The "Repaint" Reality : Because it is fast, you might see a label appear and then disappear if the price snaps back instantly. This is a feature, not a bug . It is hunting for the exact moment momentum breaks.
Trust the Alerts, Not the Labels : Do not trade by looking at the chart labels alone. They are for visual reference. You must trust the Alerts. If an alert fires, the math was valid at that millisecond, and the trade should be executed.
Transparency : Use the "Show Debug Levels" checkbox in the settings. This reveals what's happening under the hood (Stop Losses, Trigger points etc) in the form of alerts by helping you understand why an alert fired.
█ Do's and Don'ts
✅ Do's
Start Small : Keep the Lot Multiplier at 1 initially. Option can earn and burn you badly; get used to the rhythm.
Discipline is Key : If the Algo signals a "Hedge," you must Hedge. If you ignore or try to manually execute other option strike as the hedge thinking "it will recover loss back," you defeat the mathematical advantage of the system.
❌ Don'ts
Don't Manual Trade : The script tracks quantities, strikes, calls & puts internally. let the script do its intended job. Manually intervening can leave you with naked positions.
█ Risk & Protocols
⚠️ Margin Requirements
Because this script sells options (during Flips and Spreads), your broker will block more margin than a simple "Buy" trade.
Rule: Always keep a Margin Buffer. If a Hedge alert fires and you have zero free margin, the order will fail, leaving you exposed to a market crash.
⚠️ The "Hard Stop"
No algorithm can predict a war or a sudden news event (Black Swan).
Protocol: The script has a safety line (Dashed Line). If the "EXIT ALL" alert triggers, the trade is dead. Exit immediately. Do not hold onto hope.
⚠️ Intraday Only (Gap Risk)
This logic is designed for a continuous market. It cannot calculate what happens while the market is closed.
Golden Rule: Never carry positions overnight. A gap up or down the next morning can bypass all your hedges and stop losses. Ensure the "Intraday Square-off" setting is enabled to auto-close trades before the bell.
█ How to Start: A Quick Setup Guide
Step 1: Map Expiry Dates
Manually input your trading expiry dates in Settings -> Expiry Management.
Format: YYYY-MM-DD (e.g., 2025-12-25). Strict adherence required for DhanHQ.
Step 2: Configure Symbol & Size
Exchange/Symbol: Enter NSE and NIFTY (or your ticker).
Lot Multiplier: Default is 1. Set to 2 to double all quantities (e.g., Buy 2 becomes Buy 4).
IMPORTANT: Broker & Technology Heads-Up:
The alerts generated by this script ({"secret": "...", "alertType": "multi_leg_order"...}) are specifically formatted for the DhanHQ webhook structure.
Dhan Users: Plug-and-play.
Other Brokers: You need middleware to parse the JSON.
█ Risk Disclaimer & Advice
Trading options involves substantial risk.
Margin: Selling options requires significant margin. Keep a 15-20% cash buffer to handle adjustments instantly.
Testing: This strategy is optimized for NIFTY Weekly Options with TF of 5 to 15 Min. Effectiveness on BankNifty or Sensex is untested and may require parameter tuning.
Advice:
Paper Trade: Run for at least one expiry cycle before live deployment.
Consult: Seek professional financial advice before trading.
Practical Tips for Smooth Execution
For a new trader deploying this system, these operational tips are vital:
Capital Buffer: Do not trade at your limit. Always keep 10-15% free cash in your broker account. Adjustments require additional margin instantly. If margin is short, the order fails, and your hedge breaks.
Liquidity Awareness: The script trades "Far Deep OTM" options too in order to boost profit.
Trust the Process (but Verify): While the algo drives, you are the pilot.
Check your API connection every morning.
Ensure the "Expiry date" matches your real-world date.
Verify that your broker executed all legs of a multi-leg order (partial fills are rare but possible).
The "Human" Stop: If major news breaks (e.g., unexpected election results, war announcements), volatility can expand faster than any algo can react. It is acceptable—and smart—to pause the strategy during known "Black Swan" events or earnings releases.
█ Testing Scope, Feedback
⚠️ Important Note on Asset Classes:
This strategy logic and the associated strike step calculations have been rigorously tested ONLY on NIFTY Index Options with Weekly Expiry.
BankNifty / Sensex / FinNifty: The volatility characteristics and strike intervals with respect to delta, gamma effect and time left for expiry of these instruments differ significantly from NIFTY. The effectiveness of this strategy on these other scripts has not been verified and may require different parameter tuning.
We encourage traders to backtest this logic on other indices and share their findings! If you find a robust parameter set for BankNifty or observe unique behaviors on other scripts, please let us know in the comments below so we can improve the algorithm for everyone. Your feedback is appriciated.
BK AK-Momentum Pivot Wolf🐺 BK AK–Momentum Pivot Wolf — Momentum / Pivots / Confluence 🐺
🙏 All glory to Gd.
Built with standards and discipline passed down by my mentor — thank you for the lens and the insistence on structure over noise.
Update / Record
A previous version of this publication was hidden due to insufficient description. This republish is a complete, self-contained explanation of what the script does, how it works, and how to use it.
✨ What this script does
Pivot Wolf is a TSI-based momentum oscillator system that focuses on extremes → pivots → confirmation, then adds confluence layers (VWAP, MTF alignment, SNR, volume, regime) to reduce chop and low-quality signals.
It’s built to help you:
Identify momentum extremes using dynamic or static bands
Detect pivot points in the oscillator at those extremes
Mark divergences (regular + hidden) between price and oscillator
Confirm/grade signals using a scoring system (or legacy hard filters)
Visualize context via VWAP gating, MTF alignment, and regime state
Project post-pivot expectation zones via T1/T2 targets
Optionally enable historical learning that only applies overrides when validation is strong
🧠 How it works (high level)
1) Momentum engine (TSI blend)
Computes Fast and Slow TSI.
Optionally blends them using volatility weighting (ATR% normalized over a lookback) to adapt responsiveness.
Smooths momentum with a Signal EMA for cross/shift confirmation.
2) Bands define “extremes”
Dynamic mode uses StdDev (or robust MAD) over a lookback to size bands.
Static mode uses a fixed ± level.
Extremes are simply “momentum beyond the band,” with optional tolerance/smoothing.
3) Pivot detection (the main signals)
Uses oscillator pivot highs/lows.
A “strong” pivot is when a pivot forms outside the band (oversold/overbought).
Marker styling, sizes, and tooltips are configurable.
4) Divergence logic
Tracks the last two oscillator pivots and compares them to the last two price pivots:
Bullish divergence: price makes a lower low while oscillator makes a higher low
Bearish divergence: price makes a higher high while oscillator makes a lower high
Includes hidden divergences and optional “require extreme” filtering.
5) Confluence + scoring (0–100)
Instead of only hard rules, Pivot Wolf can compute bull/bear scores using:
VWAP position and/or slope gating
MTF direction alignment across selected timeframes
Signal-to-noise ratio filter (momentum vs signal noise)
Volume confirmation and regime adjustments
Acceleration / deceleration behavior
Structure + consolidation penalties
Signals can be shown as strong or weak (optional), based on your thresholds.
6) Targets / projections
After confirmed pivots, it projects expectation zones using recent run behavior:
T1 = 0.618 projection
T2 = 1.000 projection
Targets can display continuously or only when momentum approaches.
7) Optional historical learning
If enabled, it records pivot outcomes after N bars and runs a train/validation check before applying any learned overrides. If validation fails, it stays on manual settings.
🧭 How to use (simple workflow)
🧩 Check MTF dashboard for alignment (avoid fighting the stack).
🧱 Let momentum reach band extremes (OB/OS).
🔻🔺 Take pivot signals more seriously when score is strong + VWAP gate agrees.
💎 Use divergence as added weight, not as the trigger.
🎯 Manage around T1/T2 as structured expectation zones.
👁️🗨️ King Solomon Lens
“Solomon didn’t predict. He judged. He built tests that made truth show itself. Pivot Wolf is that: pivots as boundary stones, momentum as witness, acceleration as the confession. No hammer in the Temple — rules are cut before entry. When it’s quiet, it’s saving you. When it speaks, it’s a ruling.”
This is not financial advice. This is structure. If you wanted a fortune teller, you’ll hate this script. If you wanted a system that makes the market prove itself before you strike—welcome to the Wolf.
🙏 All glory to G-d—the source of all wisdom and every true edge. 🙏
Baskin Robbin Indicator by @MrwhyBTC Don't chase. Position
The edge isn't the coin it's knowing when the playbook flip
CRR Trend Conformator v1CRR Trend Conformator v1
CRR Trend Conformator v1 is a proprietary momentum-based trend confirmation oscillator designed to help analyze directional strength and structural momentum shifts in any market and timeframe.
This indicator uses a non-repainting Heikin-Ashi derived momentum engine, normalized with ATR, to visualize trend conformity through oscillator candles, zero-line transitions, and momentum expansion behavior.
Key Features
Normalized momentum oscillator with smooth adaptive behavior
Zero-line crossing logic to identify momentum phase shifts
Persistent trend state for visual conformity analysis
Structural swing-break detection for momentum continuation or failure
Fixed upper and lower zones for over-extension awareness
Clear momentum candle visualization in a separate indicator pane
Background highlighting during momentum break events
How to Use
Observe oscillator behavior around the zero line to assess momentum bias
Study momentum candles for strength, weakness, or consolidation
Use swing break highlights to understand momentum continuation dynamics
Zones help identify stretched or extreme momentum conditions
This tool is intended to support market analysis only and does not generate trade instructions.
Important Notes
Non-repainting logic (confirmed bars only)
Parameters are internally optimized and intentionally locked
Works across all instruments and timeframes
Designed for trend conformity and momentum structure study
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or a recommendation to buy or sell any instrument.
Users are responsible for their own trading decisions and risk management
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 (✦): 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 (𝐁𝐮𝐥𝐥) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation.
Regular Bearish Divergence (𝐁𝐞𝐚𝐫) : 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 (✦) 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]🔵 OVERVIEW
The Regression Slope Oscillator is a trend–momentum 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.
🔵 CONCEPTS
Regression Slope – 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
Multi–Sample Averaging – 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 – The oscillator and candles are colored dynamically from oversold (orange) to overbought (aqua), based on slope extremes observed within the user–defined Color Range.
Trend Oscillation – When the oscillator rises, price trend is strengthening; when it falls, momentum weakens.
🔵 FEATURES
Calculates regression slopes across a user–defined range (e.g., 10–100 with steps of 5).
Averages all sampled slopes into a single oscillator line.
Dynamic coloring of oscillator and chart candles based on slope values.
User–controlled Color Range :
High values (e.g., 50–100) → interpret as overbought vs oversold zones.
Low values (e.g., 2–5) → interpret as slope rising vs falling momentum shifts.
Dashboard table (top–right) displaying number of slope samples and current averaged slope value.
Candle coloring mode (optional) – candles take on the oscillator gradient color for at–a–glance reading of trend bias.
Signal Line (SMA) – A moving average of the slope oscillator used to identify momentum reversals.
Bullish Reversal Signal – Triggered when the oscillator crosses above the signal line while below zero, indicating downside momentum exhaustion and potential trend recovery.
Bearish Reversal Signal – Triggered when the oscillator crosses below the signal line while above zero, indicating upside momentum exhaustion and potential trend rollover.
Dual Placement Signals – Reversal signals are plotted both:
On the oscillator pane (for momentum context)
On the price chart (for execution alignment)
Confirmation Logic – Signals are only printed on confirmed bars to reduce repainting and false triggers.
🔵 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, momentum–driven color change that tracks slope rising/falling.
Candle coloring highlights short–term trend pressure in sync with the oscillator.
Combine reversal signals with structure, support/resistance, or volume for higher–probability entries.
🔵 CONCLUSION
The Regression Slope Oscillator transforms raw regression slope data into a smooth, color–coded oscillator. By averaging across multiple regression lengths, it avoids the noise of single–range 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.
SILENT FLOW | Chartnes FREESILENT FLOW | Chartnes FREE
Experience Clarity. Follow the Flow.
SILENT FLOW is the systematic evolution of our proven trend following logic, engineered for traders who want to eliminate visual noise and make precise decisions.
Why SILENT FLOW?
Most indicators clutter the chart with bright colors and overlapping text. SILENT FLOW delivers calm structure instead, showing only what truly matters.
Highlights
🌊 Visual Silence: Emerald and Amber scheme minimizes distractions for deeper focused analysis.
🎯 Smart Labels: Setup signals below the candle, active trades above, clean separation without overlaps.
✨ Instant Readability: Price levels automatically rounded for optimal overview at a glance.
Your Entry Point
This FREE version is stable and standalone, perfect for manual trend analysis and getting familiar with the SILENT FLOW philosophy.
Ready for More? Chartnes VIP offers automation, real-time alerts, and advanced filters for professional requirements. Send a private message (PM) for access details.
Disclaimer: For educational purposes only. Not financial advice. Trading involves risk.
OBV with Don Chain Channel### OBV with Don Chain Channel (Enhanced) — Indicator Description
**OBV with Don Chain Channel** is a volume-based momentum indicator that combines **On-Balance Volume (OBV)** with a **Donchian-style High/Low channel** and **automatic divergence detection** to highlight potential breakout strength and early reversal signals.
It plots OBV in a separate pane with dynamic color, draws an OBV channel using recent highs/lows, and marks key events (channel breakouts + divergences) with clear visual cues and alert support.
---
## What it shows
### 1) OBV Line (Color-Coded Momentum)
* **Green** when OBV is rising
* **Red** when OBV is falling
* **Gray** when OBV is flat
This helps you instantly read volume pressure behind price movement.
### 2) Donchian-Style OBV Channel (High/Low Bands)
* **OBV High** = highest OBV over the selected lookback
* **OBV Low** = lowest OBV over the selected lookback
This creates a clean “range” for OBV, making breakouts easy to spot.
### 3) Breakout Signals (Above/Below Channel)
* **Breakout High**: OBV crosses **above** the previous channel high → often signals strong accumulation / momentum confirmation.
* **Breakout Low**: OBV crosses **below** the previous channel low → often signals distribution / weakness confirmation.
Breakouts are shown using:
* Marker circles positioned relative to the channel (not stuck at pane extremes)
* Optional background highlight for visibility
* Built-in alerts
### 4) OBV EMA Trend Filter
An optional **EMA of OBV** helps identify the underlying OBV trend:
* OBV above EMA → bullish bias
* OBV below EMA → bearish bias
### 5) Divergence Detection (Pivot-Based)
The script detects divergences using pivot swings on both **price** and **OBV**:
* **Bullish Divergence**: Price makes a **lower low**, OBV makes a **higher low** → possible reversal/strength building.
* **Bearish Divergence**: Price makes a **higher high**, OBV makes a **lower high** → possible exhaustion/weakening.
Signals are labeled as:
* **“Bull”** (green)
* **“Bear”** (red)
A “max bars between pivots” setting helps filter out weak / irrelevant divergence pairs.
---
## Info Table (Top-Right)
A compact table shows at a glance:
* Current **OBV**
* **OBV EMA**
* Whether OBV is **Inside / Above / Below** the channel
* Current OBV trend bias (**Bullish/Bearish** vs EMA)
---
## Alerts Included
You can create TradingView alerts for:
* OBV Breakout High
* OBV Breakout Low
* Bullish Divergence
* Bearish Divergence
* Any signal (combined)
---
## Inputs (Quick Guide)
* **OBV EMA Length**: Smoothing for trend bias
* **OBV High/Low Lookback**: Channel sensitivity (lower = more signals, higher = fewer)
* **Pivot Lookback**: Divergence swing sensitivity
* **Max Bars Between Pivots**: Divergence strictness
* **Channel Fill + Transparency**: Visual styling
---
### Notes / Disclaimer (recommended for publishing)
This indicator is designed for **analysis and confirmation**, not as a standalone trade system. Always combine with price structure, risk management, and market context.
If you want, I can also write a shorter “TradingView store style” description (2–4 lines) + a clean bullet list for the publish page.
Multi-Factor ConsensusMFC (Market Field Coherence)
A Triumph of Complexity: The Fusion of Three Professional Engines to Visualize the Unified
Mind of the Market
█ 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 invisible—the 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.
█ 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.
█ 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 μ is:
w(i) = exp(- (i - μ)² / (2 * σ²))
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) = Σ e^(iφₙ) = Σ cos(φₙ) + i·Σ sin(φₙ)
The Coherence Index (CI) is the magnitude of this resultant vector, normalized by the number of oscillators N:
CI = |R| / N
This mathematical blending— Gaussian smoothing for clean data, Sigmoid normalization to define state, and Complex-Plane Analysis to measure collective coherence—is what allows MFC to generate insight that is simply impossible to achieve with conventional tools.
█ 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., 25°) and a higher number of pairs (e.g., 5+) to demand an incredibly high standard for signal confirmation.
█ 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 × 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 🔒 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:
🚀 IGNITION: All three engines are in unanimous, bullish/bearish agreement.
⚡ COHERENT: The trend is healthy and coherence is stable.
💥 COLLAPSE: The regime's integrity is compromised.
🌀 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.
█ 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.
█ 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."
— 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.
█ 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.
F4 + MACD + RSI + ADX MTF Dashboard📊 F4 + MACD + RSI + ADX Multi-Timeframe Dashboard
A comprehensive at-a-glance view of market conditions across 11 timeframes in one elegant dashboard.
🎯 Overview
This indicator combines four powerful technical analysis tools into a single, easy-to-read multi-timeframe dashboard. Get instant clarity on trend direction, momentum, and strength across all major timeframes without cluttering your chart.
✨ Key Features
Four Proven Indicators in One View:
F4 (Four EMAs Alignment) - Identifies clean trend direction when price aligns above or below all four EMAs
MACD Histogram - Captures momentum shifts and trend changes
RSI (14) - Spots overbought/oversold conditions with dynamic color coding
ADX - Measures trend strength to filter choppy markets
11 Timeframes Monitored Simultaneously:
Intraday: 1m, 3m, 5m, 15m, 30m, 60m, 75m, 188m
Higher Timeframes: Daily, Weekly, Monthly
Color-Coded Clarity:
🟢 Green = Bullish signal
🔴 Red = Bearish signal
⚪ Gray = Neutral/Sideways/Weak
🔧 How It Works
F4 Logic:
Long: Price trades above all 4 EMAs (5, 13, 21, 50)
Short: Price trades below all 4 EMAs
Sideways: Mixed EMA alignment
MACD Signal:
Based on histogram position relative to zero line
RSI Interpretation:
>60 = Bullish momentum
<40 = Bearish momentum
40-60 = Neutral zone
ADX Strength:
>20 = Strong trending market
<20 = Weak/choppy market
💡 Ideal For
✅ Day traders seeking multi-timeframe confirmation
✅ Swing traders identifying trend alignment
✅ Scalpers checking higher timeframe context
✅ Anyone wanting to avoid analysis paralysis with a clean, organized view
⚙️ Customizable Settings
EMA Lengths: Adjust all four EMAs to your preference
MACD Parameters: Customize fast, slow, and signal periods
RSI & ADX Lengths: Fine-tune sensitivity
Table Position: Choose any corner of your chart
📈 Trading Applications
Trend Confirmation: When multiple timeframes align (all green or all red), it signals a strong directional bias
Divergence Spotting: When lower timeframes contradict higher timeframes, anticipate potential reversals
Entry Timing: Use lower timeframe signals for entries while higher timeframes confirm overall trend
Strength Filtering: ADX column helps avoid trading during low-volatility, choppy conditions
🎨 Clean & Professional Design
Minimal screen real estate usage
Clear visual hierarchy with color coding
No chart clutter - pure tabular organization
Updates automatically on each bar close
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 − Slow MA
Signal Line = MA(MACD Line, Signal Length)
Histogram = MACD Line − 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.
