Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform
Overview
An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives.
Evolution Beyond Traditional Fisher Transform
While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements:
- Multi-period composite instead of single timeframe analysis
- Robust z-score normalization using median/MAD rather than mean/standard deviation
- Winsorization to handle outliers and price spikes
- Dynamic clipping that adapts to market volatility
- Kalman filtering for superior noise reduction vs. traditional EMA smoothing
These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform.
Key Features
Multi-Period Analysis
- Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods
- Weighted Composite: Combines all three periods using customizable weights for optimal signal generation
- Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis
Advanced Statistical Methods
Robust Z-Score Calculation
- Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation
- More resistant to outliers and extreme price movements
- Provides stable normalization across varying market conditions
Winsorization
- Caps extreme price values at specified percentiles (default 5th and 95th)
- Reduces the impact of price spikes and anomalies
- Configurable lookback period for threshold calculation
Dynamic Z-Score Clipping
- Automatically adjusts clipping levels based on recent volatility
- Tighter bounds in calm markets (0.05) for precision
- Wider bounds in volatile markets (0.2) to capture significant moves
- Uses ATR-based volatility measurement
Kalman Filter Smoothing
- Optional advanced noise reduction using Kalman filtering
- Superior to traditional EMA smoothing for optimal signal extraction
- Configurable process noise (Q) and measurement noise (R) parameters
- Fallback to traditional smoothing factor available
How to Use
Basic Interpretation
- Above Zero: Bullish momentum
- Below Zero: Bearish momentum
- Extreme Values: Potential overbought/oversold conditions
- Crossovers: Entry/exit signals when composite crosses trigger line
Customizable Settings
Periods: Adjust based on your trading timeframe
- Lower values (3-10): More sensitive, suitable for scalping
- Medium values (10-20): Balanced for swing trading
- Higher values (20-50): Smoother for position trading
Weights: Customize responsiveness
- Increase short weight: More reactive to recent price changes
- Increase long weight: More stability and trend confirmation
Kalman Settings
- Lower Q (0.001-0.02): Smoother, more filtered signals
- Higher Q (0.02-0.1): More responsive to price changes
- Lower R (0.01-0.05): Trust data more, less filtering
- Higher R (0.1-1.0): More skeptical of data, more smoothing
Osciladores
True Strength Index with Crossovers Alerts🚀 True Strength Index (TSI) with Visual Crossover Alerts
Hey everyone! I’m sharing my customized True Strength Index (TSI) indicator, which I've boosted with clear visual signals and alert conditions based on my personal, high-probability trading strategy.
The True Strength Index is a powerful, oscillation-based momentum indicator that smooths price movements twice using Exponential Moving Averages (EMAs). This double-smoothing process helps to filter out market noise, giving you a much clearer view of momentum changes than basic indicators.
🛠️ How This Script Works
This script focuses on the crucial interaction between the TSI line and its Signal Line:
TSI Line (Blue): Tracks momentum direction and strength.
Signal Line (Red): A simple EMA of the TSI line, used to determine short-term trend shifts.
Visual Buy/Sell Signals:
To make signals impossible to miss, I've added distinct visual markers:
🟢 Green Dot: A "Buy Signal" is plotted at the bottom of the indicator pane when the TSI crosses above the Signal Line (bullish crossover).
🔴 Red Dot: A "Sell Signal" is plotted at the bottom when the TSI crosses below the Signal Line (bearish crossover).
Additionally, I've included named alertconditions so you can set up real-time notifications for these exact crossovers in the TradingView Alert system.
🧠 My Trading Logic: Combining TSI with RSI
I don't use the TSI in isolation. My favorite approach is to use this TSI indicator as a timing tool, but only when it aligns with the overall momentum context defined by the Relative Strength Index (RSI).
This is the key to my strategy:
Bullish Trade Filter: I only take a BUY signal (Green Dot) when my RSI indicator is already in a bullish territory (above 50).
Bearish Trade Filter: I only take a SELL signal (Red Dot) when my RSI indicator is already in a bearish territory (below 50).
This combination ensures you are trading with the underlying momentum trend, improving the probability of success.
⚙️ My Recommended Custom Settings
For the best results with this strategy, I recommend using the following custom settings. You can enter these values in the "Inputs" tab when adding the indicator to your chart.
1. TSI (Alerts) Settings
Long Length - 60
Higher value for smoother price change data.
Short Length -30
Medium-term smoothing for clearer momentum shifts.
Signal Length - 9
Short length for a responsive signal line.
2. Companion RSI Settings (RSI+)
RSI Length - 150
A long look-back period for highly accurate trend filtering.
MA1 Length - 60
Used for additional smoothing.
MA2 Length - 150
Used for powerful trend confluence.
MILLION MEN - Zone ScannerWhat it is
MILLION MEN - Zone Scanner is a context-driven momentum tool that visualizes trend regimes (bullish / bearish) and highlights the first-touch opportunity within each regime’s reactive zones. It’s designed to help traders identify pullbacks inside an existing bias rather than chasing breakouts.
How it works
Uses a custom RSI-style momentum meter calculated from RMA of up/down moves.
When the meter > upper threshold → Green Regime.
When the meter < lower threshold → Red Regime.
Defines LONG Zone (34 – 40) and SHORT Zone (60 – 70) for mean-reversion touches.
Prints L FT or S FT on the first confirmed touch after a regime turns on.
Optional candle-color filter (green bar for LONG / red bar for SHORT).
Exit signals trigger once the meter revisits the regime boundary.
Optional Neon Glow styling improves visual clarity without clutter.
How to use
Identify regime direction (green = bullish bias, red = bearish bias).
Wait for the first touch into the relevant zone.
Confirm with higher-time-frame structure or volume context.
Manage position or exit once the meter retests its regime limit.
Use it as a context tool, not an auto-entry system.
Originality & Value
This script enforces discipline by allowing only one signal per regime, reducing over-trading and noise. The zone visualization and glow layers offer a clean, cinematic UI consistent with the MILLION MEN visual standard.
Limitations & Transparency
Works best on standard candlesticks and normal-time frames (tested on BTC, ETH, XRP, BNB, XAUUSD).
No look-ahead or future data.
Signals are bar-close confirmed (barstate.isconfirmed).
Educational tool — not financial advice.
Free Protected Version
Published for public educational use under the MILLION MEN framework. Core logic is protected to maintain script integrity.
W%R Pullback+EMA Trend [TS_Indie]🔰 Core Concept of the Strategy
The main idea is “Trend-Following with Momentum Pullback.”
This means trading in the direction of the main trend (defined by EMA) while using Williams %R to identify pullback entries (buying the dip or selling the rally) where momentum returns to the trend direction.
📊 Indicators Used
1. EMA Fast – Defines the short-term trend.
2. EMA Slow – Defines the long-term trend (used as a trend filter).
3. Williams %R
• Overbought zone: above -20
• Oversold zone: below -80
⚙️ Entry Rules
🔹 Buy Setup
1. EMA Fast > EMA Slow → Uptrend condition.
2. Williams %R on the previous candle dropped below -80, and on the current candle, it crosses back above -80 → indicates momentum returning to the upside.
3. Current close is above EMA Fast.
4. Entry Buy at the close of the candle where %R crosses above -80.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the lowest low between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
🔹 Sell Setup
1. EMA Fast < EMA Slow → Downtrend condition.
2. Williams %R on the previous candle went above -20, and on the current candle, it crosses back below -20 → indicates renewed selling momentum.
3. Current price is below EMA Fast.
4. Entry Sell at the close of the candle where %R crosses below -20.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the highest high between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
⚙️ Optional Parameters
• Custom Risk/Reward Ratio for Take Profit.
• Option to add ATR buffer to Stop Loss.
• Adjustable EMA Fast period.
• Adjustable EMA Slow period.
• Adjustable Williams %R period.
• Option to enable Long only / Short only positions.
• Customizable Backtest start and end date.
• Customizable trading session time.
⏰ Alert Function
Alerts display:
• Entry price
• Stop Loss price
• Take Profit price
Guys, try adjusting the parameters yourselves!
I’ve been tweaking the settings for several days and managed to get great results on XAU/USD in the 5-minute timeframe.
I think this strategy is quite interesting and could potentially deliver good results on other instruments as well.
⚠️ Disclaimer
This indicator is designed for educational and research purposes only.
It does not guarantee profits and should not be considered financial advice.
Trading in financial markets involves significant risk, including the potential loss of capital.
RSI EMA Crossover with Price ActionThe RSI and RSI's EMA Crossover with Price Action (1:2 Risk-Reward) strategy combines Momentum, Trend confirmation, and Basic price-action logic to generate high-probability trade setups with Proper Risk Management.
This script identifies entries when the RSI crosses a key threshold and aligns with an RSI - EMA crossover, confirming Exhaustion of a current trend and Price action confirms the Change in Trend direction. It integrates price action filters to avoid false signals during low-volatility or choppy conditions.
The strategy also includes a risk-management module, setting a fixed 1:2 risk-to-reward ratio — automatically placing a take-profit target twice the size of the stop loss. Also the Stop loss can be adjusted to nearest swing low or last 3 candles Low. to avoid Stoploss hunt.
Features
✅ RSI and EMA crossover confirmation for directional bias
✅ Basic price-action validation (optional filters)
✅ Configurable stop-loss and take-profit levels (default 1:2)
✅ Visual trade markers for entries and exits
Disclaimer: This script is intended for educational and research purposes only. It should not be considered financial advice or a guaranteed trading system. Users are encouraged to test and optimize parameters before using in live markets.
nOI + Funding + CVD • strategynOI + Funding + CVD Strategy
Overview
This strategy is designed for cryptocurrency trading on platforms like TradingView, focusing on perpetual futures markets. It combines three key indicators—Normalized Open Interest (nOI), Funding Rate, and Cumulative Volume Delta (CVD)—to generate buy and sell signals for long and short positions. The strategy aims to capitalize on market imbalances, such as overextended open interest, funding rate extremes, and volume deltas, which often signal potential reversals or continuations in trending markets.
The script supports pyramiding (up to 10 positions), uses percentage-based position sizing (default 10% of equity per trade), and allows customization of trade directions (longs and shorts can be enabled/disabled independently). It includes multiple signal systems for entries, various exit mechanisms (including stop-loss, take-profit, time-based exits, and conditional closes based on indicators), a Martingale add-on system for averaging positions during drawdowns, and handling of opposite signals (ignore, close, or reverse).
This strategy is not financial advice; backtest thoroughly and use at your own risk. It requires data sources for Open Interest (OI) and Funding Rates, which are fetched via TradingView's security functions (e.g., from Binance for funding premiums).
Key Indicators
1. Normalized Open Interest (nOI)
Group: Open Interest
Purpose: Measures the relative level of open interest over a lookback window to identify overbought (high OI) or oversold (low OI) conditions, which can indicate potential exhaustion in trends.
Calculation:
Fetches OI data (close) from the symbol's standard ticker (e.g., "{symbol}_OI").
Normalizes OI within a user-defined window (default: 500 bars) using min-max scaling: (OI - min_OI) / (max_OI - min_OI) * 100.
Upper threshold (default: 70%): Signals potential short opportunities when crossed from above.
Lower threshold (default: 30%): Signals potential long opportunities when crossed from below.
Visualization: Plotted as a line (teal above upper, red below lower, gray in between). Horizontal lines at upper, mid (50%), lower, and a separator at 102%.
Notes: Handles non-crypto symbols by adjusting timeframe to daily if intraday. Errors if no OI data available.
2. Funding Rate
Group: Funding Rate
Purpose: Tracks the average funding rate (premium index) to detect market sentiment extremes. Positive funding suggests bull bias (longs pay shorts), negative suggests bear bias.
Calculation:
Fetches premium index data from Binance (e.g., "binance:{base}usdt_premium").
Supports lower timeframe aggregation (default: enabled, using 1-min TF) for smoother data.
Averages open and close premiums, clamps values, and scales/shifts for plotting (base: 150, scale: 1000x).
Upper threshold (default: 1.0%): Overheat for shorts.
Lower threshold (default: 1.0%): Overcool for longs.
Ultra level (default: 1.8%): Extreme for additional short signals.
Smoothing: Uses inverse weighted moving average (IWMA) or lower-TF aggregation to reduce noise.
Visualization: Shifted plot (green positive, red negative) with filled areas. Horizontal lines for overheat, overcool, base (0%), and ultra.
Notes: Custom ticker option for non-standard symbols.
3. Cumulative Volume Delta (CVD)
Group: CVD (Cumulative Volume Delta)
Purpose: Measures net buying/selling pressure via volume delta, normalized to identify divergences or confirmations with price.
Calculation:
Delta: +volume if close > open, -volume if close < open.
Cumulative: Rolling cumsum over a window (default: 500 bars), smoothed with EMA (default: 20).
Normalized: Scaled by absolute max in window (-1 to 1 range).
Scaled/shifted for plotting (base: 300 or 0 if anchored, scale: 120x).
Upper threshold (default: 1.0%): Over for shorts.
Lower threshold (default: 1.0%): Under for longs.
Visualization: Shifted plot (aqua positive, purple negative) with filled areas. Horizontal lines for over, under, and separator (default: 252).
Filter Options (for Signal A):
Enable filter (default: false).
Require sign match (Long ≥0, Short ≤0).
Require extreme zones.
Require momentum (rising/falling over N bars, default: 3).
Signal Logics for Entries
Entries are triggered by buy/sell signals from multiple systems (A, B, C, D), filtered by direction toggles and entry conditions.
Signal System A: OI + Funding (with optional CVD filter)
Enabled: Default true.
Sell (Short): nOI > upper threshold, falling over N bars (default: 3), delta ≥ threshold (default: 3%), funding > overheat, and CVD filter OK.
Buy (Long): nOI < lower threshold, rising over N bars (default: 3), delta ≥ threshold (default: 3%), funding < overcool, and CVD filter OK.
Signal System B: Short - Funding Crossunder + Filters
Enabled: Default true.
Sell (Short): Funding crosses under overheat level, optional: CVD > over, nOI < upper.
Signal System C: Short - Ultra Funding
Enabled: Default false.
Sell (Short): Funding crosses ultra level (up or down, both default true).
Signal System D: Long - Funding Crossover + Filters
Enabled: Default true.
Buy (Long): Funding crosses over overcool level, optional: CVD < under, nOI > lower.
Combined: Sell if A/B/C active; Buy if A/D active.
Entry Filters
Cooldown: Optional pause between entries (default: false, 3 bars).
Max Entries: Limit pyramiding (default: true, 6 max).
Entries only if both filters pass and direction allowed.
Opposite Signal Handling
Mode: Ignore (default), Reverse (close and enter opposite), or Close (exit only).
Processed before regular entries.
Position Management
Martingale (3 Steps):
Enabled per step (default: all true).
Triggers add-ons at loss levels (defaults: 5%, 8%, 11%) by adding % to position (default: 100% each).
Resets on position close.
Break Even:
Enabled (default: true).
Activates at profit threshold (default: 5%), sets SL better by offset (default: 0.1%).
Exit Systems
Multiple exits checked in sequence.
Exit 1: SL/TP
Enabled: Separate for long/short (default: true).
SL: % from avg price (defaults: 1% long/short).
TP: % from avg price (defaults: 2% long/short).
Exit 2: Funding
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: Funding > upper exit threshold (default: 0.8%).
Short Exit: Funding < lower exit threshold (default: 0.8%).
Exit 3: nOI
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: nOI > upper exit (default: 85%).
Short Exit: nOI < lower exit (default: 15%).
Exit 4: Global SL
Enabled: Default true.
Exit: If position loss ≥ % (default: 7%).
Exit 5: Break Even (integrated in position block)
Exit 6: Time Limit
Enabled: Separate for long/short (default: true).
Exit: After N bars in trade (defaults: 30 each).
Timer updates on add-ons if enabled (default: true).
Visual Elements
Buy/Sell Labels: Small labels ("BUY"/"SELL") on bars with signals, limited to last 30.
All indicators plotted on a separate pane (overlay=false).
Usage Notes
Backtesting: Adjust parameters based on asset/timeframe. Test on historical data.
Data Requirements: Works best on crypto perps with OI and funding data.
Risk Management: Incorporates SL/TP and global SL; monitor drawdowns with Martingale.
Customization: All thresholds, enables, and scales are inputs for fine-tuning.
Version: Pine Script v6.
For questions or improvements, contact the author. Happy trading!
SamRSIIts multiple timeframe RSI indicator
Second RSI indicator can be enabled or disabled up on the necessity
Second RSI indicator has the ability to set to a different timeframe
Perfect for all types of trade (Intraday, Positional, Short term and Long term)
VMS Multi Index Options Buying Indicator📊 VMS Multi-Index Options Buying Indicator – Consolidated Overview
________________________________________
🎯 What It Is
A professional-grade options trading system that analyses multiple technical parameters to generate quantified buy signals for call and put options. It includes:
• Integrated risk management
• Multi-layered confirmation
• Quantified strength scores
________________________________________
⚡ Core Functionality
• Dual Analysis System: Call and put analysis running simultaneously
• Multi-Timeframe Analysis: Intraday to swing trading
• Quantified Scoring: Objective 0–7 strength scoring system
• Holistic Market View: Combines technicals, levels, volume, and momentum into a single signal
________________________________________
🔧 Technical Components
1. VMS Core Momentum System
• VMS SQZM Momentum: Primary oscillator (must be positive for both calls and puts)
• VMS Index Trends: Short-term and medium-term alignment
• Strength Scoring: 7-point system evaluating multiple parameters
2. Support/Resistance Levels (L0–L10)
Level Significance Options Trading Application
L00–L02 Strong Support Ideal for CALL BUY entries
L05 Critical Decision Point Wait for confirmation
L08–L9 Strong Resistance Ideal for PUT BUY entries
3. ATR Trend System
• Green Lines: Bullish momentum (favour calls)
• Red Lines: Bearish momentum (favour puts)
• ▲/▼ Triangles: Primary entry signals
• +L/+S Signals: Add-to-position opportunities
4. Volume Confirmation
• Real-time buy/sell volume analysis
• Cumulative volume trends
• Bullish/bearish candle counts
• Net volume direction confirmation
5. Spread Analysis
• Call-put spread direction and momentum
• Market sentiment gauge
• Options flow implications
________________________________________
📈 Signal Generation
Strength-Based Signals
• STRONG BUY: ≥4/7 strength points + clear advantage
• WEAK BUY: 3–3.9/7 strength points + modest advantage
• NO TRADE: All other scenarios
Critical Rules
• Both call and put VMS SQZM must be positive for any trade
• A clear strength advantage is required over the opposite option
• Volume confirmation enhances signal reliability
________________________________________
🧩 Ideal Trade Setups
Call Buy Setup
if (call_strength >= 4 and
call_strength > put_strength and
val_call > 0 and val_put > 0 and
ATR_trend_green and
price_near_support and
volume_bullish and
spread_positive_expanding):
execute_strong_call_buy()
Put Buy Setup
if (put_strength >= 4 and
put_strength > call_strength and
val_put > 0 and val_call > 0 and
ATR_trend_red and
price_near_resistance and
volume_bearish and
spread_negative_contracting):
execute_strong_put_buy()
________________________________________
📊 Dashboard Interpretation Guide
Section Call Buy Signal Put Buy Signal Critical Check
Spread Positive + Expanding Negative + Contracting Must confirm direction
VMS SQZM Green + Positive Green + Positive Both must be positive
Strength ≥4 & > Put ≥4 & > Call Primary decision factor
Squeeze "ON" preferred "ON" preferred Increases probability
Levels Near L00–L02 Near L08–L10 Confluence adds confidence
ATR Green + Rising Red + Falling Trend alignment
Volume Bullish patterns Bearish patterns Must confirm signal
________________________________________
⏰ Timeframe-Specific Strategies
Intraday Trading (5–15 min)
• Monitor strength changes every candle
• Use +L/+S for quick scalp entries
• Exit before last 30 minutes
• Tighter stops (50% premium)
Swing Trading (1H–Daily)
• Require ≥4.5 strength scores
• Focus on major level breaks (L00, L05, L10)
• Use wider stops (60% premium)
• Hold until the opposite signal generation
________________________________________
🛡️ Risk Management Integration
• Automatic position sizing based on signal strength
• Built-in exit triggers and stop-loss levels
• Daily trade limits and risk controls
________________________________________
💡 Unique Value
• Quantified scoring removes emotional trading
• Multiple confirmation layers reduce false signals
• Comprehensive dashboard for quick decision-making
• Options-specific analysis (not generic indicators)
________________________________________
🚨 Quick Decision Flowchart
1. Start → Check strength scores
2. Call ≥4 & > Put? → Yes → Check VMS SQZM >0? → Yes → ✅ Strong Call Buy
3. Put ≥4 & > Call? → Yes → Check VMS SQZM >0? → Yes → ✅ Strong Put Buy
4. Call ≥3 & > Put? → Yes → ✅ Weak Call Buy (reduced size)
5. Put ≥3 & > Call? → Yes → ✅ Weak Put Buy (reduced size)
6. ❌ No Trade – Wait for better setup
________________________________________
⚠️ Important Note
This is a decision support tool – not a guaranteed profit system. It requires:
• Proper risk management
• Trading experience
• Integration into a comprehensive trading strategy
Ideal for traders who want a systematic approach, objective signals, options focus, and multiple confirmation layers.
🎯 VMS Multi-Index Options Buying Indicator - MASTER CHEAT SHEET
📊 QUICK DECISION MATRIX
🟢 CALL BUY SIGNALS (All Must Align)
Component Strong Signal Weak Signal
Strength ≥4 & > Put 3-3.9 & > Put
VMS SQZM Both Positive Both Positive
Spread Positive + Expanding Positive
ATR Green + Rising Green
Levels L00-L02 Near Support
Volume Bullish Confirmed Mixed Bullish
Squeeze ON Any
🔴 PUT BUY SIGNALS (All Must Align)
Component Strong Signal Weak Signal
Strength ≥4 & > Call 3-3.9 & > Call
VMS SQZM Both Positive Both Positive
Spread Negative + Contracting Negative
ATR Red + Falling Red
Levels L08-L10 Near Resistance
Volume Bearish Confirmed Mixed Bearish
Squeeze ON Any
________________________________________
⚡ INSTANT EXECUTION RULES
✅ STRONG TRADES (High Conviction)
# STRONG CALL BUY
if (call_strength >= 4 and
call_strength > put_strength and
val_call > 0 and val_put > 0):
execute_call_buy()
# STRONG PUT BUY
if (put_strength >= 4 and
put_strength > call_strength and
val_put > 0 and val_call > 0):
execute_put_buy()
🟡 WEAK TRADES (Reduced Size Only)
if strength >= 3 and strength > opposite_strength:
execute_weak_trade() # 30-50% normal size
❌ NO TRADE CONDITIONS
if (any_vms_sqzm_negative or
both_strengths >= 3 or
strength < 3 or
no_clear_advantage):
AVOID_TRADE()
________________________________________
🎯 CONFIRMATION HIERARCHY
PERFECT CALL SETUP
1. ✅ Strength: Call ≥4, Put < Call
2. ✅ VMS SQZM: Both positive
3. ✅ Spread: Positive & Expanding
4. ✅ ATR: Green + Rising
5. ✅ Levels: Near L00-L02 support
6. ✅ Volume: Bullish confirmation
7. ✅ Squeeze: ON
PERFECT PUT SETUP
1. ✅ Strength: Put ≥4, Call < Put
2. ✅ VMS SQZM: Both positive
3. ✅ Spread: Negative & Contracting
4. ✅ ATR: Red + Falling
5. ✅ Levels: Near L08-L10 resistance
6. ✅ Volume: Bearish confirmation
7. ✅ Squeeze: ON
________________________________________
📈 POSITION MANAGEMENT
🎚️ Sizing Matrix
Signal Strength Position Size Stop Loss Profit Target
≥4 (STRONG) 70-80% normal 50-60% premium 1:1 R:R + Trail
3-3.9 (WEAK) 30-50% normal 40-50% premium Quick 1:1
<3 (NO TRADE) 0% N/A N/A
🚪 Exit Triggers
• Stop Loss: 50-60% premium loss OR VMS SQZM turns negative
• Profit Taking: 50% at 1:1, trail balance using VMS Index
• Signal Exit: Opposite strength reaches ≥3 OR current strength drops below entry
________________________________________
⏰ TIMEFRAME STRATEGIES
🔄 Intraday (5-15 min)
• Monitor strength changes every candle
• Exit before last 30 minutes
• Tighter stops (50% premium)
• Use +L/+S for quick scalps
📅 Swing (1H-Daily)
• Require ≥4.5 strength scores
• Focus on major level breaks
• Wider stops (60% premium)
• Hold until opposite signal
________________________________________
🛡️ RISK MANAGEMENT
📉 Daily Limits
• Max Trades: 3 per day
• Max Risk: 2% capital per trade
• Loss Limit: Stop after 2 consecutive losses
• Portfolio: Never trade both call/put simultaneously
🧠 Psychological Rules
1. Wait for clear signals - don't force
2. Respect strength scoring - no overrides
3. Stick to position sizing - no revenge trading
4. Accept "NO TRADE" as valid outcome
________________________________________
🚀 QUICK START FLOW
1. CHECK Strength Scores
2. CONFIRM VMS SQZM Both Positive
3. VALIDATE Spread Direction
4. ALIGN ATR Trend
5. CONFIRM Volume & Levels
6. EXECUTE or WAIT
________________________________________
📊 VMS DASHBOARD FLOWCHART
START → Check Strength Scores
↓
→ YES → → YES → 🟢 STRONG CALL
↓ NO ↓ NO
→ YES → → YES → 🔴 STRONG PUT
↓ NO ↓ NO
→ YES → 🟡 WEAK CALL (Reduce Size)
↓ NO
→ YES → 🟡 WEAK PUT (Reduce Size)
↓ NO
❌ NO TRADE - Wait
________________________________________
⚠️ CRITICAL REMINDERS
• MUST: Both VMS SQZM positive for ANY trade
• MUST: Clear strength advantage (≥0.5 difference)
• PREFER: Volume confirmation for maximum size
• AVOID: Trading during news events
• RESPECT: Daily risk limits
________________________________________
💡 SUCCESS FORMULA
Patience + Confirmation + Risk Management = Consistent Results
Wait for ≥4 strength signals with multiple confirmations, always use proper position sizing, and journal every trade.
Happy Trading! 📈
Remember: This system provides probabilities, not guarantees. Always trade with proper risk management and within your financial means.
LuxAum Fisher ScaledLuxAum Fisher Scaled
Fisher Transform scaled 0–100, shows momentum in a separate pane with neutral = 50, min = 0, max = 100.
© LuxAum. Disclaimer: Educational and informational purposes only; not financial advice.
Delta ROC (acceleration) + GuideStan Druckenmiller often stresses that markets are driven not by absolute numbers but by their rate of change. He says the key is to “focus on the central banks and the movement of liquidity,” and notes that “because it used second-derivative rate of change, these things will often bottom a year to a year and a half before the fundamentals.” In essence, he looks for inflection points—moments when momentum itself begins to turn—well before the data or headlines confirm it.
The ΔROC (Delta Rate of Change) indicator applies that same philosophy. It measures both the first derivative of price (ROC: speed or momentum) and the second derivative (ΔROC: acceleration or deceleration of that momentum). Green bars signal that momentum is accelerating—buyers gaining control—while red bars show slowing momentum or exhaustion. Combine this with trend filters like the 30- and 50-day moving averages to spot early shifts in sentiment and liquidity—the kind of turning points Druckenmiller calls the “second-derivative moments” that often lead the real economy by months.
Emerson v8.4 – Kulture Metrics🜂 Emerson v8.4 – Kulture Metrics
“When volatility breathes, probability answers.”
The Emerson Engine isn’t another indicator—it’s a precision instrument built to exploit the hidden mathematics of motion.
Born from Kulture Metrics’ Nosreme lineage, this model fuses trend architecture, volatility anatomy, and Linetsky’s path-integral weighting into one living signal core. It doesn’t predict — it quantifies belief.
Each trigger passes through three unforgiving filters:
Classical Trend & Momentum Logic — directional strength, pure and unadulterated.
Squeeze Regime Anticipation — volatility compression before the break.
Path-Integral Confirmation — stochastic payoffs weighted by risk-free discounting and volatility density.
The result?
Only signals where the math, the market, and the moment all align — Absolute Confirmations.
No noise. No guessing. No emotion.
In practice, Emerson waits. It calculates. Then it strikes with surgical precision — entries that respect volatility, discount rates, and expected path contributions like a derivatives desk built into your chart.
Each decision point carries the full weight of stochastic probability theory — the same principles driving modern option pricing — yet distilled into something you can read at a glance.
Benefits that separate you from the herd:
✅ Trades filtered by volatility percentile and expected payoff distribution — not gut feel.
✅ Dotted bias line reveals the “probabilistic current” beneath price itself.
✅ Alerts trigger only when logic, momentum, and probability form a unanimous verdict.
✅ Dynamic macro-window shading adapts to volatility pressure in real time.
✅ Every entry inherently respects your risk, target, and discounting horizon.
Emerson v8.4 doesn’t ask the market what’s happening — it tells it what must happen next, given the probabilities.
It’s not designed to comfort. It’s designed to confirm.
Kulture Metrics. Built for traders who understand that randomness is just order not yet resolved.
RSI Divergence DetectorOverview
The RSI Divergence Detector is a comprehensive technical analysis tool designed to identify both regular and hidden divergences between price action and the Relative Strength Index (RSI). This indicator helps traders spot potential trend reversals and continuations by automatically detecting when price movements diverge from RSI momentum.
What are Divergences?
Regular Divergences signal potential trend reversals:
Bullish Divergence: Price makes a lower low while RSI makes a higher low → Potential upward reversal
Bearish Divergence: Price makes a higher high while RSI makes a lower high → Potential downward reversal
Hidden Divergences signal trend continuation:
Hidden Bullish Divergence: Price makes a higher low while RSI makes a lower low → Uptrend continuation
Hidden Bearish Divergence: Price makes a lower high while RSI makes a higher high → Downtrend continuation
Automatic Divergence Detection
Detects all four types of divergences automatically
Draws connecting lines between divergence points on the RSI
Labels each divergence with clear text indicators ("Bull", "Bear", "HBull", "HBear")
Independent toggle switches for each divergence type
Dynamic RSI Display
RSI line changes color based on momentum:
Green when RSI is above 50 (bullish momentum)
Red when RSI is below 50 (bearish momentum)
Standard overbought (70) and oversold (30) levels marked
Shaded background zones for overbought/oversold areas
Pivot Detection System
Adjustable pivot lookback period (default: 4 bars)
Visual pivot markers at tops and bottoms of RSI
Configurable maximum divergence range (default: 60 bars)
Adjust the setting to you desired sensitivity on each timeframe.
Full Customization Suite
Label Customization:
Choose label size (Tiny, Small, Normal, Large, Huge)
Separate color selection for each divergence type
Adjustable transparency (0-100%)
Line Customization:
Independent color control for bullish and bearish lines
Line style options for each type (Solid, Dashed, Dotted)
Default: Regular divergences use dashed lines, hidden divergences use dotted lines
Visual Settings:
Customizable overbought/oversold zone colors and transparency
Gray horizontal reference lines (70, 50, 30)
Pivot markers with adjustable visibility
Default Settings
RSI Length: 14 periods
Pivot Lookback: 4 bars
Max Divergence Range: 60 bars
Label Size: Normal
Bullish Color: #4CAF50 (Material Green)
Bearish Color: #FF5252 (Material Red)
Regular Line Style: Dashed
Hidden Line Style: Dotted
How to Use
Customize Settings: Adjust colors, line styles, and detection parameters to your preference
Toggle Divergence Types: Enable/disable specific divergence types based on your trading strategy
Identify Signals: Look for labeled divergences with connecting lines on the RSI pane
Confirm with Price Action: Use divergences in conjunction with other technical analysis tools
Best Practices
Regular Divergences: Best used to spot potential reversals at market extremes
Hidden Divergences: Best used to identify pullback entry points in trending markets
Confirmation: Always wait for price confirmation before entering trades based on divergences
Multiple Timeframes: Check for divergences across multiple timeframes for stronger signals
Risk Management: Use proper stop-losses as not all divergences lead to reversals
Technical Specifications
PineScript Version: v6
Indicator Type: Oscillator (separate pane)
Maximum Lines: 500
Calculation Method: Pivot-based divergence detection using price and RSI comparisons
💎 ELMAS FORMASYONU 2.0 💎 The new version of the Indikaterdem Diamond Formation is beta 2.0. It is a trend-based software. When a stock enters a trend, diamond crystals form, and diamonds form periodically. There are two sensitivity settings: Smoothing and Average. Changing any other settings is not recommended.
İNDİKATERDEM DİAMOND (💎 entegre)The new version of the Indikaterdem Diamond Formation is beta 2.0. It is a trend-based software. When a stock enters a trend, diamond crystals form, and diamonds form periodically. There are two sensitivity settings: Smoothing and Average. Changing any other settings is not recommended.
MPO4 Lines – Modal Engine█ OVERVIEW
MPO4 Lines – Modal Engine is an advanced multi-line modal oscillator for TradingView, designed to detect momentum shifts, trend strength, and reversal points through candle-based pressure analysis with multiple fast lines and a reference slow line. It features divergence detection on Fast Line A, overbought/oversold return signals, dynamic coloring modes, and layered gradient visualizations for enhanced clarity and decision-making.
█ CONCEPT
The indicator is built upon the Market Pressure Oscillator (MPO) and serves as its expanded evolution, aimed at enabling broader market analysis through multiple lines with varying parameters. It calculates modal pressure using candle body size and direction, weighted against average body size over a lookback period, then normalized and smoothed via EMA. It generates four distinct oscillator lines: a heavily smoothed Slow Line (trend reference), two Fast Lines (A & B) for momentum and support/resistance, and an optional Line 4 for additional confirmation. Divergence is calculated solely on Fast Line A, with visual gradients between lines and bands for intuitive interpretation.
█ WHY USE IT?
- Multi-Layer Momentum: Combines slow trend reference with dual fast lines for precise entry/exit timing.
- Divergence Precision: Bullish/bearish divergences on Fast Line A with labeled confirmation.
- OB/OS Return Signals: Clear buy/sell markers when Fast Line A exits oversold/overbought zones.
- Dynamic Visuals: Gradient fills, line-to-line shading, and band gradients for instant market state recognition.
- Flexible Coloring: Slow Line color by direction or zero-position; fast lines by sign.
- Full Customization: Independent lengths, smoothing, visibility, and transparency — by adjusting the lengths of different lines, you can tailor results for various strategies; for example, enabling Line 4 and tuning its length allows trading based on crossovers between different lines.
█ HOW IT WORKS?
- Candle Pressure Calculation: Body = math.abs(close - open); avgBody = ta.sma(body, len). Direction = +1 (bull), –1 (bear), 0 (neutral). Weight = body / avgBody. Contribution = direction × weight.
- Rolling Sum & Normalization: Sums contributions over lookback, normalizes to ±100 scale (÷ (len × 2) × 100).
Smoothing: Applies primary EMA (smoothLen), with extra EMA on Slow Line for stability.
Line Structure:
- Slow Line = calcCPO(len1=20, smoothLen1=5) → extra EMA (5)
- Fast Line A = calcCPO(len2=6, smoothLen2=7)
- Fast Line B = calcCPO(len3=6, smoothLen3=10)
- Line 4 = calcCPO(len4=14, smoothLen4=1)
Divergence Detection: Uses ta.pivothigh/low on price and Fast Line A (pivotLength left/right). Bullish: lower price low + higher osc low. Bearish: higher price high + lower osc high. Valid within 5–60 bar window.
Signals:
- Buy: Fast Line A crosses above oversold (–30)
- Sell: Fast Line A crosses below overbought (+30)
- Slow Line color flip (direction or zero-cross)
- Divergence labels ("Bull" / "Bear")
- Band Coloring as Momentum Signal:
When Fast Line A ≤ Fast Line B → Overbought band turns red (bearish pressure building)
When Fast Line A > Fast Line B → Oversold band turns green (bullish pressure building) This dynamic coloring serves as visual confirmation of momentum shift following fast line crossovers
Visualization:
- Gradients: Fast B → Zero (multi-layer fade), Fast A ↔ B fill, OB/OS bands
- Dynamic colors: Green/red based on sign or trend
- Zero line + dashed OB/OS thresholds
Alerts: Trigger on OB/OS returns, Slow Line changes, and divergences.
█ SETTINGS AND CUSTOMIZATION
- Line Visibility: Toggle Slow, Fast A, Fast B, Line 4 independently.
Line Lengths:
- Slow Line: Base (20), Primary EMA (5), Extra EMA (5)
- Fast A: Lookback (6), EMA (7)
- Fast B: Lookback (6), EMA (10)
- Line 4: Lookback (14), EMA (1)
- Slow Line Coloring Mode: “Direction” (trend-based) or “Position vs Zero”.
- Bands & Thresholds: Overbought (+30), Oversold (–30), step 0.1.
- Signals: Enable Fast A OB/OS return markers (default: on).
- Divergence: Enable/disable, Pivot Length (default: 2, min 1).
- Colors & Appearance: Full control over bullish/bearish hues for all lines, zero, bands, divergence, and text.
Gradients & Transparency:
- Fast B → Zero: 75 (default)
- Fast A ↔ B fill: 50
- Band gradients: 40
- Toggle each gradient independently
█ USAGE EXAMPLES
The indicator allows users to configure various strategies manually, though no built-in alerts exist for them. Entry signals can include color of fast lines, crossovers between different lines, alignment of colors across lines, or consistency in direction.
- Trend Confirmation: Slow Line above zero + green = bullish bias; below + red = bearish.
- Entry Timing: Buy on Fast A crossing above –30 (circle marker), especially if Slow Line is rising or near zero.
- Reversal Setup: Bullish divergence (“Bull” label) + Fast A in oversold + green gradient band = high-probability long.
- Scalping: Fast A vs Fast B crossover in direction of Slow Line trend.
- Noise Reduction: Increase extraSmoothLen on Slow Line
█ USER NOTES
- Best combined with volume, support/resistance, or trend channels.
- Adjust lookback and smoothing to asset volatility.
- Divergence delay = pivotLength; plan entries accordingly.
Sniper StrategyThe Sniper Strategy is a clean and data-driven RSI-based system designed for precision entries and exits.
It combines multi-timeframe RSI analysis, automated labeling, and dynamic P/L tracking — perfect for traders who want clarity, visual feedback, and strict risk control in one tool.
🧩 Core Features
Dual RSI Framework:
Calculates both the current timeframe RSI and a higher timeframe RSI to confirm trend strength and avoid false signals.
Smart Entry Logic:
Long signals when RSI drops below oversold level.
Short signals when RSI exceeds overbought level.
Automatic Exit Management:
Configurable Stop Loss and Take Profit percentages.
Optional RSI-based exit for flexible trade closures.
All exits are visually labeled for transparency.
Real-Time Profit Tracking:
Displays a floating label above each bar showing current P/L (%), updated live while the position is open — giving you instant insight into trade performance.
Clean Visual Design:
Uses arrows and colored labels for entry/exit clarity.
Optional RSI line and higher timeframe RSI plot included.
Alerts Ready:
Built-in alert conditions for both Long and Short signals — ideal for automation or notifications.
⚙️ Inputs & Customization
Adjustable RSI lengths for both timeframes.
Selectable RSI source (Close, HL2, etc.).
Configurable stop loss and take profit levels.
Customizable leverage and precision for P/L display.
Optional wick-based calculation for sensitivity tuning.
💡 How to Use
Apply the strategy on your preferred symbol and timeframe.
Adjust RSI and risk settings to match your trading style.
Optionally enable higher timeframe RSI confirmation.
Set alerts for “Long Entry Signal” and “Short Entry Signal.”
Backtest and fine-tune before going live.
⚠️ Disclaimer
This script is for educational and research purposes only.
It is not financial advice. Always backtest thoroughly and manage your risk before using it in live trading.
Quantura - Trendchange ZonesIntroduction
“Quantura – Trendchange Zones” is an advanced technical indicator that identifies and visualizes potential market reversal zones using dynamic RSI-based logic. It highlights areas of overbought and oversold conditions, marking them as visual zones directly on the price chart, and generates corresponding bullish and bearish signals when the RSI exits these extremes. The tool helps traders anticipate possible trend change regions and confirm momentum shifts in a clean, intuitive way.
Originality & Value
Unlike traditional RSI indicators that only show a static oscillator, this tool transforms RSI behavior into on-chart visual zones that represent structural overbought and oversold phases. It converts RSI threshold breaches into price-based regions (boxes) and marks reversal signals at the moment of momentum change.
The indicator’s originality and usefulness come from its:
Direct visualization of RSI overbought and oversold areas as dynamic chart zones.
Automatic detection of potential reversal regions where momentum exhaustion is likely.
Integration of RSI-based signals and visual cues without requiring users to monitor the RSI window.
Adjustable sensitivity for RSI length and upper/lower levels.
Clear color-coded separation of bullish and bearish phases.
Functionality & Core Logic
The indicator continuously monitors RSI values relative to the user-defined thresholds.
When RSI moves above the upper level, an Overbought Zone is created and extends until RSI falls back below that threshold.
When RSI moves below the lower level, an Oversold Zone is generated and extends until RSI returns above that level.
When RSI exits one of these zones, a corresponding Trendchange Signal (▲ bullish or ▼ bearish) appears at the transition point.
Each zone dynamically adjusts its high and low levels during formation, representing the complete range of the exhaustion phase.
Parameters & Customization
RSI Length: Defines the sensitivity of RSI calculation. Shorter lengths make signals more responsive; longer lengths filter noise.
Upper Level / Lower Level: Set thresholds for overbought and oversold conditions (default 70 / 30).
Signals: Toggle on/off for displaying bullish (▲) and bearish (▼) reversal signals.
Zones: Toggle the visualization of shaded RSI-based zones.
Colors: Fully customizable bullish and bearish colors for both signals and zones.
Visualization & Display
Bullish reversal zones (oversold exits) are shaded using the chosen bullish color (default: blue).
Bearish reversal zones (overbought exits) are shaded using the chosen bearish color (default: red).
Each completed zone is outlined and filled with transparent shading for better clarity.
Reversal arrows (▲ for bullish, ▼ for bearish) are displayed at the bar where RSI exits the extreme level.
Clean overlay design ensures compatibility with any chart style or color scheme.
Use Cases
Identify overbought and oversold periods directly on the price chart without switching to the RSI window.
Anticipate potential market reversals or exhaustion points based on RSI momentum shifts.
Combine with trend indicators, moving averages, or volume tools for confirmation.
Apply across multiple timeframes to align short-term reversal signals with higher timeframe momentum.
Use zone width and duration to assess the strength and persistence of overbought/oversold conditions.
Limitations & Recommendations
The indicator is not a standalone trading system but a visual confirmation tool.
False signals may occur in strongly trending markets where RSI remains overextended.
Optimal RSI settings may differ between assets (e.g., crypto vs. equities).
Combining this indicator with additional trend or structure filters can enhance accuracy.
Markets & Timeframes
The “Quantura – Trendchange Zones” indicator works across all markets and timeframes, including cryptocurrencies, Forex, stocks, and commodities. It is suitable for both short-term scalping and long-term swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It provides a clear explanation of the indicator’s originality, logic, and function while avoiding unrealistic performance or predictive claims.
Quantura - Quantified Price Action StrategyIntroduction
“Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices.
Originality & Value
The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of:
Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity.
Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs.
RSI filter: Can be set to normal or aggressive, confirming momentum before trades.
Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies.
EMA filter: Aligns trades with the broader market trend.
Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions.
This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow.
Functionality & Indicators
Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap.
Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection.
RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness.
FVG filter: Adds validation by requiring price interaction with inefficiency zones.
EMA filter: Ensures longs are above EMA and shorts below EMA.
Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status.
Parameters & Customization
Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options.
Liquidity filter: Mode (Run or Sweep), display, and swing length.
RSI: Enable/disable, length, and style (normal or aggressive).
Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles.
EMA: Length, enable/disable, and visualization.
Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing.
Visualization: Custom candle coloring and optional overlay for better clarity.
Default Properties (Strategy Settings)
Initial Capital: 10,000 USD
Position Size: 100% of equity per trade (backtest default)
Commission: 0.1%
Slippage: 1
Pyramiding: 0 (only one position at a time)
Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%.
Backtesting & Performance
Backtests on XPTUSD over 2.5 years with the default settings produced:
164 trades
67.68% win rate
Profit factor: 1.7
Maximum drawdown: 27.81%
These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (164) is sufficient for statistical analysis, results may vary across markets and timeframes.
Risk Management
Three configurable take-profit levels with percentage allocation.
Initial stop-loss based on user-defined percentage.
Dynamic stop-loss that adjusts with market movement.
Break-even logic that shifts stops to entry after predefined gains.
Position sizing based on risk percentage of equity.
This framework allows both conservative and aggressive configurations, depending on user preference.
Limitations & Market Conditions
Works best in volatile and liquid markets such as crypto, metals, indices, and FX.
May produce false signals in low-volume or sideways environments.
Unexpected news or macro events can override technical conditions.
Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use.
Usage Guide
Add “Quantura – Quantified Price Action Strategy” to your chart.
Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe.
Configure risk management: take-profits, stop-loss, and risk-per-trade percentage.
Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions.
Optimize parameters before applying the strategy to different markets.
Author & Access
Developed 100% by Quantura. Published as an Invite-Only script.
Important
This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
OutsiderEdge - Adaptive Node Efficiency Function (ANEF)Overview - What is ANEF?
ANEF is a zero-centered oscillator that blends price efficiency, effective volume around VWAP (node proximity), order-flow imbalance (uptick/downtick proxy), and returns volatility into a single, normalized score. The goal is to help you spot efficient breakouts and inefficient mean-reversions in a way that’s transparent, systematic, and easy to align with your own analysis.
Users can combine ANEF’s components to build rules such as: “ Only consider short breakout signals when trend context is bearish and the ANEF score pushes into the Efficient Zone ,” or “ Look for mean-reversion setups when the ANEF score sinks into the Inefficient Zone while trend context remains bullish. ”
While ANEF can stand on its own, it also works well as a secondary confirmation layer to a user’s primary process (volume profile, price action, S/R, market structure, or your preferred overlays).
🔹 FEATURES
Below is each ANEF component/feature in the order that typically leads to the most confluence.
ANEF Core (Normalized Score)
Combines a price change term with effective volume near VWAP and order-flow imbalance, scaled by volatility and normalized into a zero-centered oscillator.
Read it like a pressure gauge: high positive values = efficient upside impulse risk; deep negative values = inefficient pressure that often reverts.
Efficient & Inefficient Zones (Thresholds)
Two user-set levels (default ≥ +4.6 and ≤ −4.6) to quickly see when ANEF pushes into efficient breakout territory (top zone) or inefficient territory (bottom zone).
Thresholds are not overbought/oversold; they’re contextual “efficiency bands.”
2nd-Signal Confirmation (Optional)
An opt-in rule to ignore the first signal of a type and only print the second occurrence within X bars (default 6).
Reduces one-off noise without repainting or lookahead.
Trend Context (EMA-based Wave, Optional)
A lightweight EMA context that lets you filter signals (e.g., only show ▼ in downtrend, only show ▲ in uptrend).
The context is plotted as a sub-pane wave centered around zero so it doesn’t fight for price-panel space.
Clean Alerts (Raw & Confirmed)
Raw alerts fire at zone interactions.
Confirmed alerts respect the 2nd-signal rule and (optionally) the trend filter.
Price-Panel Markers (through force_overlay)
Even with the oscillator in a separate pane, ANEF can print mini markers on the main chart.
Useful to correlate impulses/reversions with structure, S/R, or higher-TF levels.
🔹 USAGE
In the examples below, you see chart snapshot with five labeled points of (in)efficiency breakouts.
ICMARKETS:UK100
Point 1 — Efficient Downside Breakout (▼)
ANEF surges into the Efficient Zone, indicating downside momentum that’s aligned with node volume/imbalance and volatility. Typical use: trend-following continuation, takeprofit on existing long or tightening risk on existing shorts (invalidations above recent structure).
Point 2 — Inefficient Upside Reversion (▲)
First rebound after the selloff with ANEF deep in the Inefficient Zone. Not an ideal long entry on its own, but a good management cue: take partial profits on shorts or tighten stops as an early confirmation that the drop may be exhausting.
Point 3, 4 and 5 — Inefficient Upside Reversion (▲)
Another 3x ▲ appears as price forms a higher low and ANEF prints a less extreme negative reading. With the “second-signal within X bars” option enabled, this becomes a more credible mean-reversion attempt. Possible long entries or takeprofits on existing shorts.
Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management.
🔹 NAVIGATING MARKET CONDITIONS
Trending phases:
Expect more time in or near the zones in the trend direction.
Consider allowing only trend-aligned signals (filter ON) and using counter zone exits for trail/partials rather than counter-trend trades.
Ranging phases:
Expect frequent dips and surges into the (In)efficient Zones and back.
Counter-moves (▲ in range downs, ▼ in range ups) can be productive with tight invalidation and the 2nd-signal rule to reduce noise.
Regime shifts:
Watch for repeated failures of one side’s signals plus cross-pane confluence (e.g., context flips while ANEF re-anchors around zero).
That sequence often marks transitions where your rules should adapt (e.g., disable the trend filter temporarily or widen your 2nd-signal window).
🔹 SETTINGS SUMMARY
ANEF Core: lengthPrice, lengthVol, lengthVolat, imbalanceCap
Zones: Efficient (≥), Inefficient (≤)
Confirmation: Require 2nd signal, Lookahead bars
Trend Filter: Enable, EMA length, optional smoothing & “only show ▲/▼ with trend”
Chart Markers: Also show on main chart (force_overlay)
Alerts: Raw vs Confirmed (pick what suits your workflow)
🔹 GOOD PRACTICES
Treat signals as context cues, not as mechanical buy/sell calls. You can align ANEF with structure (S/R, HTF bias, LVN, HVN or POC) and risk management (partials on zone exit, invalidation beyond recent swing). Start with defaults; tweak parameters to match your market/TF.
🔹 LIMITATIONS / DISCLAIMER
ANEF does not use lookahead and does not repaint, but no indicator guarantees outcomes.
Thresholds are heuristics; markets can remain efficient/inefficient longer than expected.
Use appropriate position sizing and independent validation.
Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management.
Release Notes
v1.0 — Initial invite-only release with: normalized ANEF core, Efficient/Inefficient zones, optional EMA trend context, 2nd-signal confirmation, raw & confirmed alerts, and optional price-panel markers via force_overlay.
RSI - Ostinato TradingRSI indicator for Ostinato Trading scalping strategy. The classic RSI with special color fills for extremum detection.
MACD - Ostinato TradingMACD oscillator from Ostinato Trading, the classic momentum indicator. With this particular code you can superpose two different MACD and add a background to display cross of second indicator if you don't want to display it completely.
Quantura - Quantitative AlgorythmIntroduction
“Quantura – Quantitative Algorithm” is an invite-only Pine Script strategy designed for multi-timeframe analysis, combining technical filters with user-adjustable fundamental sentiment. It was primarily developed for cryptocurrency markets but can also be applied across other assets such as Forex, stocks, and indices. The goal is to generate structured trade signals through a confluence of techniques rather than relying on a single indicator.
Originality & Value
Quantura is not a simple mashup of indicators. Its originality comes from how multiple layers of analysis are integrated into a single decision framework . Instead of showing indicators separately, the strategy only issues trades when several conditions align simultaneously:
RSI entry triggers confirm overbought/oversold reversals.
Market structure on a higher timeframe confirms trend direction.
Order block detection highlights zones of concentrated supply and demand.
Premium/Discount zones identify potential over- and undervaluation.
HTF EMA provides trend confirmation.
Optional candlestick patterns strengthen reversal or continuation signals.
An optional correlation filter compares the main asset to a reference instrument.
This design forces agreement between different methodologies (momentum, structure, value, volume, sentiment), which reduces noise compared to using them in isolation.
Functionality & Indicators
Entry trigger: RSI exits from extreme zones.
Filters: Only valid when all selected filters (HTF structure, EMA, order blocks, premium/discount, candlesticks, correlation, volume) confirm the direction.
Fundamental bias: User-defined sentiment and analysis settings (bullish, bearish, neutral) influence whether long or short trades are permitted.
Exits: ATR-based take profit and stop loss, with optional breakeven, opposite-signal exit, and session-end exit.
Visualization: Buy/Sell markers, trend-colored candles, and an optional dashboard summarizing indicator status.
Parameters & Customization
Timeframes: Independent HTF and LTF selection.
Trading direction: Long / Short / Both.
Session and weekday filters.
RSI length and thresholds.
Filters: HTF structure, order blocks, premium/discount, EMA, candlestick, ATR volatility, volume zones, correlation.
Exit rules: ATR multipliers for TP/SL, breakeven logic, session-end exit, opposite-signal exit.
Visuals: Toggle signals, candles, dashboard, custom colors.
Default Properties (Strategy Settings)
Initial Capital: 100,000 USD
Position Size: 15% of equity per trade
Commission: 0.25%
Slippage: enabled
Pyramiding: 0 (one position at a time)
Note: The position sizing of 15% equity per trade is intentionally set for backtesting demonstration. In real trading, risking this much is considered aggressive. Most traders prefer to risk 1-5% of equity, and rarely above 10%.
Backtesting & Performance
Backtests on BTCUSD (2 years) with the above defaults showed:
112 trades
Win rate: 40%
Profit factor: 1.4
Maximum drawdown: 34%
These results illustrate how the confluence model behaves, but they are not predictive of future performance . The trade sample size (72 trades) is below the 100+ usually recommended for statistical robustness. Users should re-test with their own preferred symbols, settings, and timeframes.
Risk Management
ATR-based stops and targets scale with volatility.
Commission and slippage are included by default for realistic modeling.
Opposite-signal exit helps capture trend reversals.
Session-end exit can close intraday positions before illiquid hours.
Breakeven option protects profits when available.
Although the default allocation uses 15% per trade for demonstration, this is not a recommendation. Users are encouraged to adjust risk sizing downwards to sustainable levels (commonly 1-5%).
Limitations & Market Conditions
Performs best in volatile, liquid markets (e.g., crypto).
May struggle in prolonged sideways markets with low volatility.
News events and fundamentals outside user inputs can override signals.
Backtests below 100 trades should be considered exploratory, not statistically conclusive.
Usage Guide
Add “Quantura – Quantitative Algorithm” to your chart in strategy mode.
Select HTF and LTF timeframes, trading direction, and session filters.
Configure confluence filters (structure, EMA, order blocks, premium/discount, candlestick, correlation, volume).
Set sentiment and analysis bias in fundamental settings.
Adjust ATR multipliers and exits.
Review buy/sell signals and analyze performance in the Strategy Tester.
Author & Access
Developed 100% by Quantura . Distributed as an Invite-Only script . Details are provided in the Author’s Instructions field.
Important: This description complies with TradingView’s Script Publishing Rules and House Rules. It does not guarantee profitability, avoids unrealistic claims, and explains how the strategy integrates multiple methods into a coherent decision framework.
KD-NewAutoTrade for Future Trading - Heikin Ashi candles The KD-NewAutoTrade strategy is a dynamic trend-following indicator designed for scalping and swing trading across crypto, forex, and index futures. It combines the precision of EMA crossovers, RSI momentum, and ADX trend strength to deliver clear Buy/Sell signals with high reliability.
🔹 Core Logic
EMA Fast & Slow Crossover – Identifies short-term and long-term trend shifts.
RSI Confirmation – Filters out false signals by requiring RSI to cross custom Buy/Sell thresholds.
ADX Filter – Ensures trades only trigger when market trend strength exceeds your chosen ADX minimum.
🔹 Key Features
Visual Buy/Sell triangles directly on the chart.
Customizable inputs for EMA, RSI, and ADX lengths.
Works efficiently on all timeframes and all markets (Crypto, Indices, Stocks, Commodities).
Optional background highlights for active trade zones.
Alert conditions for both BUY and SELL setups – ready to use in automated strategies or alert bots.
🔹 Recommended Usage
Use Heikin Ashi candles
Works best on 1M - 5M timeframes.
Combine with volume or higher-timeframe trend confirmation for stronger signals.
