HA Line + Trend Oklar//@version=5
indicator("HA Line + Trend Oklar", overlay=true)
// Heiken Ashi hesaplamaları
haClose = (open + high + low + close) / 4
var float haOpen = na
haOpen := na(haOpen) ? (open + close) / 2 : (haOpen + haClose ) / 2
haHigh = math.max(high, math.max(haOpen, haClose))
haLow = math.min(low, math.min(haOpen, haClose))
// Trend yönüne göre renk
haColor = haClose >= haClose ? color.green : color.red
// HA kapanış çizgisi
plot(haClose, color=haColor, linewidth=3, title="HA Close Line")
// Agresif oklar ile trend gösterimi
upArrow = ta.crossover(haClose, haClose )
downArrow = ta.crossunder(haClose, haClose )
plotshape(upArrow, title="Up Arrow", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.large)
plotshape(downArrow, title="Down Arrow", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large)
Indikatoren und Strategien
Order Flow Analysis [Master Alert]This script is a custom modification of the original "Order Flow Analysis" indicator by kingthies.
I have taken the original code and engineered a "Master Alert" system into it. Here is the breakdown of what this specific script does:
1. The Core Purpose: "One Ring to Rule Them All"
In the original script, if you wanted to catch every move, you would have to set up separate alerts for Divergences, Absorptions, Crosses, etc. This modified script combines all 8 possible signals into a single "Master Trigger."
2. What triggers the Alert?
The alert will fire if ANY of the following 4 events happen on a candle:
Divergence (The Arrows):
Green Arrow: Price makes lower low, Pressure makes higher low (Bullish).
Red Arrow: Price makes higher high, Pressure makes lower high (Bearish).
Absorption (The Transparent Bars):
Bull Absorption: Huge volume + Price won't drop (Hidden Buying).
Bear Absorption: Huge volume + Price won't rise (Hidden Selling).
Zero Line Crosses (The Sentiment Flip):
Bull Cross: Pressure score flips from Negative to Positive.
Bear Cross: Pressure score flips from Positive to Negative.
Strong Zones (Turbo Mode):
Strong Bull: Pressure score breaks above +50.
Strong Bear: Pressure score breaks below -50.
3. How to Use It
Add the script to your chart.
Create an Alert.
Select "Order Flow Master" as the Condition.
Select "MASTER ALERT (All Signals)".
Now, you will get a notification for every single significant event this indicator detects, without needing multiple alert slots.
Volume Delta Divergence Candle ColorThis indicator identifies divergences between price action and volume delta, highlighting potential reversal or continuation signals by coloring candles when buyer/seller pressure conflicts with the candle's direction.
**How It Works:**
The indicator analyzes real-time up/down volume data to detect two types of divergences:
🟣 **Seller Divergence (Fuscia)** - Occurs when a candle closes bullish (green) but the volume delta is negative, indicating more selling pressure despite the upward price movement. This suggests weak buying or potential distribution.
🔵 **Buyer Divergence (Cyan)** - Occurs when a candle closes bearish (red) but the volume delta is positive, indicating more buying pressure despite the downward price movement. This suggests weak selling or potential accumulation.
**Features:**
✓ Colors only divergent candles - non-divergent candles maintain your chart's default colors
✓ Uses actual exchange volume delta data (works best with CME futures and other instruments with tick-level data)
✓ Optional triangle markers above/below divergent candles for quick visual identification
✓ Clean, minimal design that doesn't clutter your chart
**Best Used For:**
- Identifying potential reversals or continuations
- Spotting weak price movements that may not follow through
- Confirming price action with underlying volume pressure
- Works on any timeframe with available volume delta data
**Note:** This indicator requires volume data from exchanges that provide tick-level information (CME futures, cryptocurrency exchanges, etc.). Results may vary on instruments with limited volume data.
Volatility High/Low Projection (PHOD / PLOD)AP Capital – Volatility + High/Low Projection
This indicator is designed to identify high-probability intraday turning points by combining daily range statistics, session behaviour, and volatility context into a single clean framework.
It is built for index, forex, and metals traders who want structure, not noise.
🔹 Core Features
1️⃣ Potential High of Day (PHOD) & Potential Low of Day (PLOD)
The indicator highlights likely intraday extremes based on:
Session timing (Asia, London, New York)
Current day volatility vs historical averages
Prior day expansion or compression behaviour
Each level is displayed with:
A clear label (PHOD / PLOD)
A forward-extending box acting as a live Point of Interest (POI)
Automatic invalidation when price breaks the zone
2️⃣ Volatility & Range Context (Info Panel)
A compact information panel in the top-right corner provides real-time context without cluttering the chart:
20-Day Average Range
% of the average range already used today
Range status (NORMAL / EXHAUSTED)
Average session ranges for:
Asia
London
New York
This allows traders to immediately assess whether price is:
Early in the day with room to trend
Statistically stretched and prone to reversal
Over-extended where breakout chasing is risky
3️⃣ Session-Aware Logic
The model respects how markets behave across the trading day:
Asia favours accumulation and potential lows
London provides expansion
New York often delivers distribution or exhaustion
This prevents random high/low marking and focuses only on structurally meaningful levels.
🧠 How to Use
Use PHOD / PLOD boxes as reaction zones, not blind entries
Combine with your own confirmation (structure break, momentum, volume, EMA reclaim, etc.)
Avoid chasing trades when the Range Status = EXHAUSTED
Particularly effective on 15m – 1h timeframes
⚠️ Important Notes
This indicator does not repaint
It is contextual, not a buy/sell signal generator
Best used as part of a complete trading plan
📈 Suitable Markets
XAUUSD (Gold)
Indices (NASDAQ, S&P 500, DAX)
Major FX pairs
📌 Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice. Trading involves risk.
PCR Put-Call Ratio//@version=5
indicator("PCR Put-Call Ratio", overlay=false, precision=4)
// Input parameters
pcrLength = input(20, "PCR Length", group="Settings")
maLength = input(5, "MA Length", group="Settings")
showOI = input(true, "Use Open Interest", group="Settings")
// Get PCR data from CBOE (requires daily data availability)
pcrData = request.security("CBOE:PC", "D", close)
// Calculate moving average of PCR
pcrMA = ta.sma(pcrData, maLength)
// Levels for interpretation
overbought = 1.2
oversold = 0.6
neutral = 0.9
// Plot PCR value
plot(pcrData, title="PCR Value", color=color.blue, linewidth=2)
plot(pcrMA, title="PCR MA", color=color.orange, linewidth=1)
// Add reference lines
hline(overbought, "Overbought (Bearish)", color.red, linestyle=hline.style_dashed)
hline(neutral, "Neutral", color.gray, linestyle=hline.style_dotted)
hline(oversold, "Oversold (Bullish)", color.green, linestyle=hline.style_dashed)
// Background coloring based on sentiment
bgColor = pcrData > overbought ? color.new(color.red, 80) :
pcrData < oversold ? color.new(color.green, 80) :
color.new(color.gray, 90)
bgcolor(bgColor)
Trend zooming boxThis script clearly find trend.
You will be able to find areas where you get large impulsive moves in history easily. Not too much to describe.
Hammer Strategy (CLOSE ON NEXT BAR) [WORKING]Adjustable hammer and inverted hammer candle
Ham? INV? is the hammer
Entry on HAM, INV OR HAM?, INV? close next bar
Relative Strength IndexRSI for indian market buy low and sell high.
rsi 3 low belo 15 buy and rsi high above 85 sell
INAZUMA Bollinger BandsThis is an indicator based on the widely used Bollinger Bands, enhanced with a unique feature that visually emphasizes the "strength of the breakout" when the price penetrates the bands.
Main Features and Characteristics
1. Standard Bollinger Bands Display
Center Line (Basis): Simple Moving Average (\text{SMA(20)}).
1 sigma Lines: Light green (+) and red (-) lines for reference.
2 sigma Lines (Upper/Lower Band): The main dark green (+) and red (-) bands.
2. Emphasized Breakout Zones: "INAZUMA / Flare" and "MAGMA"
The key feature is the activation of colored, expanding areas when the candlestick's High or Low breaks significantly outside the \pm 2\sigma bands.
Upper Side (Green Base / Flare):
When the High exceeds the +2\sigma line, a green gradient area expands upwards.
Indication: This visually suggests strong buying pressure or overbought conditions. The color deepens as the price moves further away, indicating higher momentum.
Lower Side (Red Base / Magma):
When the Low falls below the -2 sigma line, a red gradient area expands downwards.
Indication: This visually suggests strong selling pressure or oversold conditions. The color deepens as the price moves further away, indicating higher momentum.
Key Insight: This visual aid helps traders quickly assess the momentum and market excitement when the price moves outside the standard Bollinger Bands range. Use it as a reference for judging trend strength and potential entry/exit points.
Customizable Settings
You can adjust the following parameters in the indicator settings:
Length: The period used for calculating the Moving Average and Standard Deviation. (Default: 20)
StdDev (Standard Deviation): The multiplier for the band width (e.g., 2.0 for -2 sigma). (Default: 2.0)
Source: The price data used for calculation (Default: close).
VWAP Mean Reversion (RSI + Deviation + ATR Risk)33this is an indicator that relies on other indicators. it relies on volume price action fvgs.OBS. and standard deviations.
Relative Volume Bollinger Band %
The Relative Volume Bollinger Band % indicator is a powerful tool designed for traders seeking insights into volume, Bollinger band and relative strength dynamics. This indicator assesses the deviation of a security's trading volume relative to the Bollinger band % indicator and the RSI moving average. Together, these shed light on potential zones of interests where market shifts have a high probability of occurring.
Key Features:
Period: Tailor the indicator's sensitivity by adjusting the period of the smooth moving average and/or the period of the Bollinger band.
How it Works:
Moving Average Calculation: The script computes the simple moving average (SMA) of the relative strength over a defined period. When the higher SMA (orange line) is in the top grey zone, the security is in a zone where it has a high probability of becoming bullish. When the higher SMA is in the lower grey zone, the security is in a zone where it has a high probability of becoming bearish.
-Bollinger Band %: The script also computes the BB% which is primarily used to confirm overbought and oversold areas. When overbought, it turns white and remains white until the overbuying pressure is released indicating that the security is about to become bearish. The script indicates a bearish reversal when the BB% and RVOL bars are both red or when there are no more yellow RVOL bars, if present. When the BB% is<0 and rising, it will also appear white with yellow RVOL bars above. This is a good indication that bulls are beginning to enter buying positions. Confirmation here is indicated when the yellow RVOL bars change to green.
Relative Volume: The indicator then also normalizes the difference volume to indicate areas of high and low volatility. This shows where higher than normal volumes are being traded and can be used as a good indication of when to enter or exit a trade when the above criterions are met.
Visual Representation: The result is visually represented on the chart using columns. Bright green columns signify bullish relative volume values that are much greater than normal. Green columns signify bullish relative volume values that are significant. Red columns represent bearish values that are significant. Blue columns on the BB% indicator represent significant bullish buying in overbought areas. Red columns on the BB% indicator that are < 0 represent a bearish trend that is in an oversold area. This is there to prevent early entry into the market.
Enhancements:
Areas of Interest: Optionally, Areas of interest are represented by red, yellow and green circles on the higher SMA line, aiding in the identification of significant deviations.
Renkli EMA BAR//@version=5
indicator("EMA Color Cross + Trend Arrows V6", overlay=true, max_bars_back=500)
// === Inputs ===
fastLen = input.int(9, "Hızlı EMA")
slowLen = input.int(21, "Yavaş EMA")
// === EMA Hesapları ===
emaFast = ta.ema(close, fastLen)
emaSlow = ta.ema(close, slowLen)
// Trend Yönü
trendUp = emaFast > emaSlow
trendDown = emaFast < emaSlow
// === Çizgi Renkleri ===
lineColor = trendUp ? color.new(color.green, 0) : color.new(color.red, 0)
// === EMA Çizgileri (agresif kalın) ===
plot(emaFast, "Hızlı EMA", lineColor, 4)
plot(emaSlow, "Yavaş EMA", color.new(color.gray, 70), 2)
// === Ok Sinyalleri ===
buySignal = ta.crossover(emaFast, emaSlow)
sellSignal = ta.crossunder(emaFast, emaSlow)
// Büyük Oklar
plotshape(buySignal, title="AL", style=shape.triangleup, color=color.green, size=size.large, location=location.belowbar)
plotshape(sellSignal, title="SAT", style=shape.triangledown, color=color.red, size=size.large, location=location.abovebar)
// === Trend Bar Color ===
barcolor(trendUp ? color.green : color.red)
ZLSMA Trend + Al/Sat Sinyali/@version=6
indicator("ZLSMA Trend + Al/Sat Sinyali", overlay=true, max_labels_count=500)
length = input.int(25, "ZLSMA Periyodu")
src = input.source(close, "Kaynak")
thickness = input.int(4, "Çizgi Kalınlığı")
colorUp = input.color(color.new(color.lime, 0), "Yükselen Renk")
colorDown = input.color(color.new(color.red, 0), "Düşen Renk")
ema1 = ta.ema(src, length)
ema2 = ta.ema(ema1, length)
zlsma = 2 * ema1 - ema2
trendUp = zlsma > zlsma
trendDown = zlsma < zlsma
zlsmaColor = trendUp ? colorUp : colorDown
plot(zlsma, title="ZLSMA", color=zlsmaColor, linewidth=thickness)
buySignal = ta.crossover(close, zlsma)
sellSignal = ta.crossunder(close, zlsma)
plotshape(buySignal, title="Al", location=location.belowbar, color=color.new(color.lime, 0), style=shape.triangleup, size=size.large, text="AL")
plotshape(sellSignal, title="Sat", location=location.abovebar, color=color.new(color.red, 0), style=shape.triangledown, size=size.large, text="SAT")
bgcolor(trendUp ? color.new(color.lime, 90) : color.new(color.red, 90))
Basit Trend AL/SAT//@version=5
indicator("Basit Trend AL/SAT", overlay=true)
yesil = close > open
kirmizi = close < open
1 = yeşil, -1 = kırmızı, 0 = başlangıç
var int trend = 0
trend := yesil ? 1 : kirmizi ? -1 : trend
al = yesil and trend != 1
sat = kirmizi and trend != -1
plotshape(al, title="AL", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large, text="AL")
plotshape(sat, title="SAT", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SAT")
bgcolor(trend == 1 ? color.new(color.green, 85) : trend == -1 ? color.new(color.red, 85) : na)
Hammer Breakout (Adjustable RR)Hammer candle detection and strat for back testing.
diamond indicates a detected hammer candle, the position is entered at the hammer candle close.
Stop loss below the hammer candle wick.
Adjustbale rr based on the distance to the stop (bottom of wick)
VixTrixVixTrix - Because markets move in both directions.
VixTrix was born from a fundamental limitation in traditional volatility indicators: they only measure downside panic, completely missing the greed-driven extremes that form market tops.
How It Works:
Dual-Component Analysis:
vixBear = Panic selling intensity (distance from recent highs)
vixBull = FOMO buying intensity (distance from recent lows)
Oscillator = vixBear - vixBull = Net fear/greed imbalance
When the oscillator is positive, fear dominates (potential bottom forming). When negative, greed dominates (potential top forming).
Professional-Grade Filtering:
The magic happens with the symmetric RMS (Root Mean Square) bands. Unlike fixed percentage bands or standard deviation, RMS:
Creates mathematically symmetric positive/negative thresholds
Naturally adapts to changing volatility regimes
Provides statistical significance to extremes
VixTrix also adds selectable MA smoothing for the RMS calculation:
WMA (default): Balanced – middle-ground approach
VWMA: Volume-weighted – filters low-volume noise
EMA: Responsive – catches quick reversals
SMA: Stable – for swing trading
HMA: Fast and smooth – ideal for day trading
Signals require triple confirmation:
Statistical Extreme: Oscillator beyond RMS band
Price Action Confirmation: Correct candle color (bullish for bottoms, bearish for tops)
Momentum Continuation: Oscillator still moving toward extreme (exhaustion)
This multi-filter approach reduces premature entries and false signals while maintaining early positioning at potential reversal points.
Why This Matters for Your Trading:
In bull markets, traditional fear indicators sit near zero, giving no warning of impending tops.
VixTrix identifies when greed becomes excessive – when FOMO buying reaches statistical extremes that often precede corrections.
In range-bound markets, VixTrix excels at identifying overreactions in both directions, providing high-probability mean reversion opportunities.
During crashes, it captures the panic selling with the same precision as VixFix, but with better timing through its momentum confirmation.
VixTrix spots continuations through:
"No Signal" = Healthy Trend – Oscillator stays between RMS bands (no exhaustion)
Failed Extremes – Touches band but no triple confirmation = trend likely continues
Hidden Divergence – Price makes higher low while oscillator makes shallower low = uptrend continues
Controlled Emotions – Oscillator negative but not extreme in uptrends (greed present but not excessive)
Key Insight: When VixTrix doesn't give a signal during a pullback, institutions aren't panicking – they're just pausing before resuming the trend.
Green columns = Bullish exhaustion (potential bottoms)
Red columns = Bearish exhaustion (potential tops)
Golden RMS bands = Dynamic thresholds adapting to current volatility
Background highlights = Active signal conditions
The Result: A professional-grade oscillator that works in all market conditions – trending up, trending down, or ranging – by measuring the complete emotional spectrum driving price action.
Short-Term Bubble Risk [Phantom] Short-Term Bubble Risk
Concept
This indicator visualizes short-term market risk by measuring how far price is stretched relative to its recent weekly trend.
Instead of focusing on absolute price levels, it looks at price behavior.
A similar reading means similar market conditions, whether price is high or low.
The goal is to help identify areas of potential accumulation and potential distribution in a clear, visual way.
How It Works
The indicator compares the weekly closing price to a weekly moving average and displays the deviation as a histogram.
When price is far below its average, risk is considered lower
When price is far above its average, risk is considered higher
The zero line represents fair value, where price equals its weekly average.
Features
Color-coded histogram showing short-term risk levels
Designed to work across different assets and price ranges
Optional bar coloring on the main chart using weekly risk data
Safe to use on any timeframe (risk is calculated on weekly data)
Settings
# Moving Average Length (Weeks):
Adjusts how sensitive the indicator is to price changes
# Color Visibility Toggles:
Allows hiding or showing specific risk zones
# Bar Coloring:
Option to color chart candles based on weekly risk levels
Usage
This indicator is best used as a risk lens, not a timing tool.
Common uses include:
Identifying potential accumulation zones during weakness
Spotting overextended conditions during strong moves
Comparing short-term risk across different assets
Adding context to trend-following or DCA strategies
Trade Ideas
# Lower-risk zones (cool colors):
Can support accumulation or patience during downtrends
# Higher-risk zones (warm colors):
Can signal caution, reduced exposure, or profit-taking
Always combine with:
Trend direction
Market structure
Higher-timeframe context
Limitations
This indicator does not predict tops or bottoms
High risk can remain high during strong trends
Low risk does not guarantee immediate reversals
It should not be used as a standalone trading system.
Disclaimer
This indicator is for educational and informational purposes only.
It is not financial advice.
Always do your own research and manage risk appropriately.
VolumeTradingView made the default "Volume" script and I found it very bland because it only displayed volume.
This script is more than just about volume. It also includes:
- A comparison between price increase between the last candle of the post-market hours and first candle of the pre-market hours.
- Relative volume label of that sequence.
- Explicit pre-market, RTH, and post-market hours labels.
Smart WhaleOverview The Smart Whale Breakout System is a pure momentum strategy designed for Swing Traders who want to capture high-probability breakouts while managing risk with a mechanical trailing stop.
Unlike indicators that try to guess "bottoms," this system follows the "Smart Money" approach: buying strength when institutional volume enters, and riding the trend until the momentum breaks.
How it Works
1. The Entry (The Hunter) The system identifies a valid BREAKOUT signal only when four specific conditions align:
Trend Filter: Price must be above the 150 SMA. We only trade with the long-term trend.
Momentum: RSI > 50. Ensuring bulls are in control.
Volume Spike (Whale Activity): Current volume must be significantly higher than the average (Default: 1.5x). This filters out weak retail moves.
Price Action: A bullish candle closing higher than it opened.
2. The Exit (The Manager) Once in a trade, the system activates a dynamic Trailing Stop line. You never have to guess when to sell. You can choose between two exit logic modes in the settings:
ATR Trailing (Default): Adapts to volatility. The stop moves up based on a multiple of the Average True Range (ATR). Great for volatile stocks (e.g., TSLA, NVDA).
Percent Trailing: A fixed percentage drop from the highest high. (e.g., "Sell if price drops 10% from peak").
3. The Context (Optional Filter)
Squeeze Filter: Includes a built-in Bollinger/Keltner squeeze detection. If enabled in settings, the system will only signal a buy if the price recently broke out of a consolidation (squeeze). Default is OFF to catch all momentum moves.
Key Features
NO Repainting: Signals are confirmed at candle close.
Visual Risk Management: A Red Trailing Stop line clearly shows where your invalidation point is.
Fully Customizable: Adjust the Volume multiplier, ATR sensitivity, or Percentage drop to fit your asset class (Crypto/Stocks/Forex).
Clean Visuals: Only colors the Breakout and Sell candles to keep your chart clean.
Settings Guide
Trend SMA Length: Define the long-term trend baseline (Default: 150).
Volume Spike (xAvg): How much volume is needed to trigger a buy? (1.5 = 150% of average).
Exit Method: Choose between "ATR Trailing" or "Percent Trailing".
ATR Multiplier: Tighter stop (2.0) vs Looser stop (3.0).
Require Squeeze?: Check this to filter for breakouts that only happen after a consolidation period.
Disclaimer This tool is for educational purposes only. Always use proper risk management.
MNQ Quant Oscillator Lab v2.1MNQ Quant Oscillator Lab v2.1 — Clean Namespaces
Adaptive LinReg Oscillator + Auto Regime Switching + MTF Confirmation + MOEP Gate + Research Harness
MNQ Quant Oscillator Lab is a research-grade oscillator framework designed for MNQ/NQ (and other liquid futures/indices) on 1-minute and intraday timeframes. It combines a linear-regression-based detrended oscillator with quant-style normalization, adaptive parameterization, regime switching, multi-timeframe confirmation, and an optional MOEP (Minimum Optimal Entry Point) gate. The goal is to provide a customizable signal laboratory that is stable in real time, non-repainting by default, and suitable for systematic experimentation.
What this indicator does
1) Core oscillator (quant-normalized)
The indicator computes a linear regression (LinReg) detrended signal and expresses it as a z-scored oscillator for portability across volatility regimes and assets. You can switch the oscillator “transform family” via Oscillator type:
LinReg Residual / Residual Z: detrended residual (mean-reversion sensitive)
LinReg Slope Z: regression slope (trend-derivative sensitive)
LogReturn Z: log-return oscillator (momentum-style)
VolNorm Return Z: volatility-normalized returns (risk-scaled)
This yields a single oscillator that is comparable over time, not tied to raw point values.
2) Adaptive length (dynamic calibration)
When enabled, the regression length is automatically adapted using a volatility-regime proxy (ATR% z-scored → logistic mapping). High volatility typically shortens the effective lookback; low volatility allows longer lookbacks. This helps the oscillator remain responsive during expansions while staying stable in compressions.
Important: the adaptive logic is implemented with safe warmup behavior, so it will not throw NaN errors on early bars.
3) Adaptive thresholds (dynamic bands)
Instead of static overbought/oversold levels, the indicator can compute dynamic upper/lower bands from the oscillator’s own distribution (rolling mean + sigma). This creates thresholds that adjust automatically to regime changes.
4) Auto regime switching (Trend vs Mean Reversion)
With Auto regime switch enabled, the indicator selects whether to behave as a Trend system or a Mean Reversion system using an interpretable heuristic:
Trend regime when EMA-spread is strong relative to ATR and ATR is rising
Otherwise defaults to Mean Reversion
This prevents running mean-reversion logic in trend breakouts and reduces “mode mismatch.”
5) Multi-timeframe (MTF) confirmation (optional)
MTF confirmation can be enabled to require that the higher timeframe oscillator sign aligns with the direction of the signal. This is useful for reducing noise on MNQ 1m by requiring higher-timeframe structure agreement (e.g., 5m or 15m).
6) MOEP Gate (optional “institutional” filter)
The MOEP gate is a confluence score filter intended to reduce low-quality signals. It aggregates multiple components into a 0–100 score:
BB/KC squeeze condition
Expansion proxy
Trend proxy
Momentum proxy (RSI-based)
Volume catalyst (volume z-score)
Structure break (highest/lowest break)
You can set:
Score threshold (minimum score required)
Minimum components required (forces diversity of evidence)
When enabled, a signal must satisfy both oscillator logic and MOEP confluence conditions.
7) Research harness (NON-CAUSAL, OFF by default)
A built-in research mode evaluates signals using future bars to compute basic forward excursion statistics:
MFE (max favorable excursion)
MAE (max adverse excursion)
Simple win-rate proxy based on MFE vs MAE
This feature is strictly for offline analysis and tuning. It is disabled by default and should not be considered “live-safe” because it uses future information for evaluation.
Signals and interpretation
Mean Reversion regime
Long: oscillator is below the lower band and turns back upward across it
Short: oscillator is above the upper band and turns back downward across it
Trend regime
Long: oscillator crosses above zero (optionally requires structure break confirmation)
Short: oscillator crosses below zero (optionally requires structure break confirmation)
Hybrid
When Hybrid is selected (manual mode), the indicator allows both trend and mean-reversion triggers, but still respects the filters and gates you enable.
Recommended starting configuration (MNQ 1m)
If you want stable, high-quality signals first, then expand into research:
Use RTH only: ON
Auto regime switch: ON
Adaptive length: ON
Adaptive bands: ON
MTF confirmation: OFF initially (turn ON later with 5m)
MOEP Gate: OFF initially (turn ON after you confirm base behavior)
Research harness: OFF (only enable for tuning studies)
Practical notes / transparency
The indicator is designed to be stable on live bars (optional confirmed-bar behavior reduces flicker).
No repainting logic is used for signals.
Any “performance” numbers shown under Research harness are not tradable metrics; they are forward-looking evaluation outputs intended strictly for experimentation.
Disclaimer
This script is provided for educational and research purposes only and does not constitute financial advice. Futures trading involves substantial risk, including the possibility of loss exceeding initial investment.
