Bollinger Bands (Locked: EMA100, 3.5) + 33.33% LinesThis indicator is a locked Bollinger Band system designed around a long-term volatility envelope. It uses an EMA(100) as the central “basis” line and builds the upper and lower bands at 3.5 standard deviations from the basis, creating a wide channel that highlights extreme price expansion rather than frequent mean-reversion touches. In addition to the standard bands, the script plots two intermediate guide lines located at 33.33% of the distance from the basis toward the upper and lower bands. These 1/3-zone lines help visually segment the band into core, mid, and extreme areas, making it easier to judge how far price has stretched relative to the EMA and current volatility. Traders can use the basis as a trend reference, the 33.33% lines as “early extension” or pullback checkpoints, and the outer bands as high-stretch boundaries for risk management, scaling, and contextual decision-making on intraday charts.
指標和策略
HVMTRIGGERS
This uses INTRADAY price action to find triggers where retail traders are trapped and milked for liquidity
SwissSignals GOLDWhen trading, your order is:
Status WAITING → do nothing
Status SETUP → pay attention
LIVE signal → take control of the market (if you want)
TP1 → BE is active
Either TP2/TP3/TP4 or exit BE
SuperTrend AI + PVSRA Full DashboardOPERATIONAL MANUAL: SuperTrend AI + PVSRA (4H Timeframe)
1. CORE STRATEGY OVERVIEW
The 4H timeframe is the "Institutional Standard." This strategy combines K-Means AI Clustering for trend detection with PVSRA (Price, Volume, Spread, Range Analysis) to identify bank maneuvers.
The goal is to enter trades only when AI trend, Institutional Volume, and Moving Average momentum align perfectly.
2. OPTIMAL 4H CONFIGURATION
AI Performance Memory: 15 to 20 (Provides trend stability against 4H noise).
Factor Range: 1.5 - 5.0 (Allows AI to scale during massive BTC/Crypto cycles).
PVSRA Climax Factor: 2.7 (The filter for significant institutional intervention).
SMA 200 (Institutional): Always active; serves as the ultimate "Bull/Bear" boundary.
3. ENTRY PROTOCOLS: "SUPER CONFLUENCE"
Entries are strictly executed upon the appearance of the SUPER CONFLUENCE label.
A. LONG SETUP (BUY)
AI Trend: The AI Trailing Stop line must be Teal (Bullish).
PVSRA Volume: A Green (Climax) or Blue (Rising) candle must be present.
The Trigger: A "SUPER CONFLUENCE BUY" tag appears (signaling a SMA 20 / AI Line crossover).
Confirmation: Higher probability if the Dashboard shows "Trend 200: ABOVE".
B. SHORT SETUP (SELL)
AI Trend: The AI Trailing Stop line must be Magenta/Red (Bearish).
PVSRA Volume: A Purple (Climax) or Orange (Rising) candle must be present.
The Trigger: A "SUPER CONFLUENCE SELL" tag appears.
Confirmation: Higher probability if the Dashboard shows "Trend 200: BELOW".
4. RISK & TRADE MANAGEMENT
ACTION 4H TIME-BASED RULE
Stop Loss Place SL behind the most recent PVSRA Climax candle wick or the AI Line.
Take Profit 1 Exit 50% at the nearest S/R Level (Red/Blue rectangles) or 1:1.5 RR.
Trailing Stop Trail the Dynamic SMA 20. Exit if the SMA 20 changes color against you.
Exit Signal Immediate exit if a Climax volume of the opposite color appears at a key level
for Me the best settings but You experiment and find yours;
ATR lenght AI :10
Factor range min 2 max 5
Step 1
Perfor.Mem.10
Source : Best
Volume Period 10
Climax 2.5
Multiplier Rising 1.5
Thank you all and happy trading
7-13 Sequential CounterThis indicator displays a sequential count (7-13) setup phase. It tracks consecutive bars where the close is lower than the close 4 bars ago (bullish/buy count, labeled below bars) or higher (bearish/sell count, labeled above bars), resetting on interruption or after 13. Toggle individual numbers (I personally use 7,9,13) and customize bullish/bearish label colors to spot potential trend exhaustion and reversal points.
eBacktesting - Learning: BreakoutseBacktesting - Learning: Breakouts highlights ranges & breakout behaviors in a clean, visual way.
It automatically:
- Detects consolidation ranges (tight price action) and draws a range box
- Marks a breakout only when a candle CLOSES outside the range (no wick-only breakouts)
Adds a label on the breakout candle (↑ bullish breakout / ↓ bearish breakout)
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
***CILGIN INDIKATOR***ÇILGIN INDICATOR – User Guide
OVERVIEW
ÇILGIN INDICATOR is a multi-layer trend and momentum confirmation tool designed for discretionary traders.
It combines Relative RSI, EMA structure, SuperTrend logic, Momentum, and optional CCI & ADX filters into a single visual system.
Purpose:
Filter market noise, confirm trend strength, and highlight high-probability Buy / Sell zones.
The indicator works on all symbols and all timeframes.
RELATIVE RSI & MOMENTUM
The indicator can work in two modes:
NORMAL MODE (Formula OFF)
RSI is calculated directly from the chart symbol.
FORMULA MODE (Formula ON)
RSI is calculated from a relative price formula:
Base Symbol / Denominator 1 / Denominator 2
This allows relative strength analysis against indices, sectors, or benchmarks.
RSI SIGNAL LOGIC
RSI Signal Line = SMA of RSI
RSI 50 Level = Trend bias reference
BUY SIGNAL
RSI crosses above the signal line
Optional: RSI must also cross above 50 (Double Confirmation)
SELL SIGNAL
RSI crosses below the signal line
Optional: RSI must also cross below 50
Small arrows on the chart represent RSI-based Buy and Sell signals.
EMA STRUCTURE
Five adaptive EMAs are plotted: EMA 1
EMA 5
EMA 21
EMA 50
EMA 100
EMA lengths automatically adapt to timeframe speed.
EMA BUY LOGIC
Fast EMA crosses above any slower EMA.
EMA SELL LOGIC
Fast EMA crosses below any slower EMA.
EMAs define:
Trend direction
Dynamic support and resistance
Momentum shifts
SUPERTREND SYSTEM
A custom ATR-based SuperTrend is used.
Features:
Optional candle wick usage
Dynamic trailing stop
Visual Buy / Sell labels
SUPERTREND BUY
Trend flips from bearish to bullish.
SUPERTREND SELL
Trend flips from bullish to bearish.
Colored zones visualize the active trend direction.
STRONG BUY & STRONG SELL SIGNALS
A Strong Signal is generated only when multiple conditions agree.
STRONG BUY
RSI Buy Signal
SuperTrend Buy Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
STRONG SELL
RSI Sell Signal
SuperTrend Sell Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
Strong signals are displayed as large labeled markers: “STRONG BUY”
“STRONG SELL”
Designed for trend-following entries, not market noise.
CCI & ADX FILTERS (OPTIONAL)
CCI FILTER
Buy allowed only if CCI > 0
Sell allowed only if CCI < 0
ADX FILTER
ADX must be above minimum level
Direction confirmed using +DI and -DI
These filters help avoid sideways markets and weak trends.
INFORMATION PANELS
PANEL A (Top Right)
Daily percentage change
Weekly percentage change
Monthly percentage change
Daily volume (millions)
PANEL B (Bottom Right)
Relative RSI value
RSI signal value
Relative momentum
Market status (Bull / Bear)
Provides instant market context without extra indicators.
ALERTS
Built-in alerts are available for:
STRONG BUY
STRONG SELL
Suitable for automation and watchlist monitoring.
BEST PRACTICES
Use Formula Mode for relative strength analysis
Enable CCI & ADX filters on higher timeframes
Combine signals with price action and key levels
Do not use as a standalone trading system
DISCLAIMER
This indicator is a decision-support tool and does not provide financial advice.
Always manage risk and confirm signals with your own analysis.
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG
Professional Market Structure & Cycle Analyzer
Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles.
This is not a buy-sell arrow tool.
It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe.
🧠 What Makes Zig Zag ++ SG Different?
Most ZigZag indicators only draw lines.
Zig Zag ++ SG answers the real questions:
Is the trend getting stronger or weaker?
Are higher highs still meaningful?
How deep are pullbacks in percentage terms?
Which stocks recover fast vs stay weak?
Is this accumulation, distribution, or reversal?
It does this by combining:
Market Structure (HH / HL / LH / LL)
Consecutive structure counting
Gain & fall percentage per swing
Clean visual logic (no repaint confusion)
📌 Core Features
✅ 1. Automatic Market Structure Detection
Labels every major swing as:
HH – Higher High
HL – Higher Low
LH – Lower High
LL – Lower Low
This instantly shows whether the market is:
Trending
Consolidating
Distributing
Reversing
✅ 2. Consecutive Structure Count (ON by default)
Each structure type is counted sequentially:
HH (1), HH (2), HH (3)…
HL (1), HL (2)…
This reveals:
Trend maturity
Exhaustion zones
Early breakdown warnings
Example:
HH (4) = trend may be overextended
HL (3) = healthy trend continuation
✅ 3. Gain & Fall % on Every Swing (ON by default)
Every HH, HL, LH, LL shows:
Exact % move from the previous pivot
This allows you to:
Compare pullback depth across stocks
Identify leaders (shallow HLs)
Spot weak stocks (deep HLs / LHs)
Study cycle symmetry
Example label:
HL (2)
-6.4%
✅ 4. Clean, Readable Visual Design
🟩 Green labels → White text
🟥 Red labels → High-contrast white text
Optional background trend shading (OFF by default)
Works perfectly in dark & light mode
Designed for long chart study sessions, not flashy screenshots.
✅ 5. Safe Repaint Logic (Transparent by Design)
Uses ZigZag logic intentionally
No fake “non-repainting” claims
Ideal for analysis, research & planning
What you see is structurally correct
This indicator is for thinking traders, not signal chasers.
⚙️ Best Settings (Recommended)
🔹 Intraday Trading
Timeframe: 5m / 15m
Depth: 8–10
Deviation: 3–5
Backstep: 2
🔹 Swing Trading (Most Popular)
Timeframe: Daily
Depth: 12–15
Deviation: 5
Backstep: 2
🔹 Long-Term / Investing
Timeframe: Weekly
Depth: 15–20
Deviation: 5–8
Backstep: 3
💡 Tip:
Lower depth = more swings
Higher depth = cleaner, major cycles
📈 How to Use Zig Zag ++ SG (Practically)
🔹 Trend Strength
HH (3+) + HL (2–3)
→ Strong, healthy trend
🔹 Exhaustion Warning
HH (4+)
→ Risk of distribution or slowdown
🔹 Pullback Quality
HL −3% to −7%
→ Strong stock
HL −12% to −20%
→ Weak hands / fragile trend
🔹 Reversal Confirmation
LH followed by LL (2+)
→ Trend change likely
🧪 Who Is This Indicator For?
✅ Swing traders
✅ Positional traders
✅ Long-term investors
✅ Market structure students
✅ Stock researchers
✅ Anyone tired of noisy indicators
❌ Not for:
People wanting instant buy/sell arrows
Scalpers chasing 1-minute signals
“Magic indicator” seekers
💎 Why This Is Worth Purchasing
Built with Pine Script v6 best practices
Solves real market questions
Helps avoid:
Buying late
Selling early
Holding weak stocks too long
Encourages process-driven trading
One-time learning tool you’ll use for years
Most traders lose money not because of entries —
but because they misread structure and cycles.
Zig Zag ++ SG fixes that.
Supply & Demand MTF x3 (Input TF)📦 Supply & Demand MTF x3 (Input TF)
Supply & Demand MTF x3 is a clean and powerful indicator designed to automatically detect and display Supply and Demand zones across multiple timeframes directly on your chart.
It focuses on clarity, flexibility, and control, allowing traders to visualize higher-timeframe institutional zones while trading on any lower timeframe.
🚀 Key Features
✅ Up to 3 independent timeframes
✅ Automatic Supply & Demand zone detection
✅ Swing-based logic (pivot highs & lows)
✅ Non-repainting zones
✅ Automatic zone invalidation
✅ Maximum zone control (keep charts clean)
✅ Fully customizable colors, borders, and visibility
✅ Works on any market and timeframe
🧠 How It Works
The indicator identifies Supply and Demand zones using pivot highs and pivot lows:
Supply Zone
Created from a pivot high
Represents areas where selling pressure previously dominated
Demand Zone
Created from a pivot low
Represents areas where buying pressure previously dominated
Each zone:
Starts at the candle where the swing is confirmed
Extends automatically to the current bar
Is deleted immediately once price invalidates it:
Supply → price closes above the zone
Demand → price closes below the zone
This ensures that only valid and active zones remain on the chart.
⏱ Multi-Timeframe Logic (MTF x3)
You can enable up to 3 different timeframes, each with its own settings.
For example:
TF1 → 15m (execution zones)
TF2 → 1H (intraday structure)
TF3 → 4H / Daily (institutional zones)
Each timeframe is processed independently and displayed on your current chart.
⚙️ Common Settings
These settings apply to all timeframes:
▸ Swing Left / Right Bars
Defines how many candles are used to confirm a swing high or low.
Higher values → stronger, more reliable zones
Lower values → more frequent zones
▸ Minimum Zone Size (%)
Filters out very small zones.
Helps remove noise
Keeps only meaningful price areas
▸ Max Supply / Demand Zones
Limits how many zones can be displayed at the same time.
Oldest zones are removed first
Keeps the chart clean and readable
⏱ Timeframe Settings (TF1 / TF2 / TF3)
Each timeframe has its own dedicated section.
▸ Timeframe
Choose the timeframe used to calculate zones (e.g. 15, 60, 240).
▸ Show Supply / Demand
Enable or disable Supply or Demand zones individually.
▸ Colors
Fully customizable:
Supply fill & border
Demand fill & border
▸ Border Width
Adjust zone visibility based on your chart style.
🎯 Best Use Cases
This indicator works best when used as:
🔹 HTF Supply & Demand map
🔹 Confluence tool for entries
🔹 Support & resistance replacement
🔹 Scalping, intraday, or swing trading
Combine it with:
Market structure
Liquidity concepts
Price action confirmations
Trend filters
🧼 Clean by Design
No repainting
No future leak
No over-drawing
No unnecessary calculations
Only validated zones that matter stay on your chart.
⚠️ Important Notes
Zones are not trade signals
They represent areas of interest, not guaranteed reversals
Always use proper confirmation and risk management
🧩 Summary
Supply & Demand MTF x3 gives you:
✔ Multi-timeframe perspective
✔ Maximum customization
✔ Clean charts
Filtered Percentile OscillatorThe Filtered Percentile Oscillator is a new trend following tool that uses trend strength for filtering. Noisy at times - but do not underrate it, this tool has great potential. :)
Benefits:
- Very high speed
- Adaptive behaviour filtering excess noise
- High performance on CRYPTO:SUIUSD
- Plotting for better visualization
The Idea
Get a simple indicator that is combined with trend strength for filtering. The best for this was the Percentile. I used it on the classic source to keep it simple, but if anybody wants feel free to change it with/without ChatGPT.
How it works:
Calculate the Percentile of the source.
Calculate the ADX & the Percentile of ADX.
Then we have two filter conditions:
If ADX Percentile+ Absolute Percentile of source > Sum Filter Treshhold is not true, both the Long & Short conditions are automaticly false.
If ADX Percentile > Filter Treshhold it will make the treshholds for the Percentile lower, while if it is below the filter treshhold, it will put the treshholds higher to filter excess noise further.
Enjoy Gs!
eBacktesting - Learning: Change of CharactereBacktesting - Learning: Change of Character helps you spot a “Change of Character” (CHoCH) — the moment price stops behaving one way and starts behaving the other.
It does this by tracking clear swing highs and swing lows, then marking the first **candle close** that breaks structure **against** the current move:
- Bullish CHoCH: price shifts from making lower structure to breaking above a key swing high.
- Bearish CHoCH: price shifts from making higher structure to breaking below a key swing low.
Use CHoCH to practice timing: early trend shifts, reversals, and potential new legs — especially when combined with your usual confluence (liquidity, premium/discount, key levels, sessions, etc.).
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
ALMA v1 ATR Bands With Trend BarsALMA v1 ATR Bands With Trend Bars is a trend-context overlay indicator designed to visualize price structure, momentum direction, and volatility expansion directly on the chart.
It combines the Arnaud Legoux Moving Average (ALMA) with ATR-based dynamic bands and a dual-momentum bar-coloring model, providing a clear visual framework for interpreting trend conditions without compressing market behavior into a single decision output.
Conceptual Architecture
The indicator is built around three complementary layers, each serving a distinct analytical role:
1. ALMA Trend Curve
The core trend line is computed using the Arnaud Legoux Moving Average, which emphasizes responsiveness while maintaining smoothness through controlled offset and sigma parameters.
An optional adaptive filter suppresses minor fluctuations, allowing the curve to focus on structural price movement rather than short-term noise.
Color changes in the ALMA line reflect directional slope state, not trading actions.
2. ATR Volatility Bands
ATR-based bands are calculated around the filtered ALMA curve:
The bands expand and contract dynamically with volatility.
They provide a contextual envelope that helps visualize price dispersion relative to the underlying trend.
These bands are intended as a volatility reference, not fixed support or resistance levels.
3. Trend Bars (Momentum State Layer)
Price candles are recolored using a dual-CCI momentum model:
A fast and a slow CCI operate together to classify momentum agreement.
When both momentum measures align, bars reflect directional bias.
When momentum disagrees, bars shift to a neutral state.
This layer highlights momentum consistency, not execution timing.
Trend State Visualization:
Discrete visual markers may appear when the slope direction of the ALMA curve changes.
These markers indicate structural trend transitions based on confirmed bar closes and do not repaint.
They are intended to support visual interpretation of trend evolution, not to automate decisions.
Reliability:
No repainting: all states, colors, and markers are confirmed on bar close.
Consistent behavior across instruments and timeframes.
Designed for stable visual output during live market conditions.
Customization Options:
ALMA length, offset, sigma, and optional shift.
Adaptive filtering sensitivity.
ATR period and deviation multiplier.
Momentum sensitivity modes for bar coloring.
Fully customizable color palette.
Optional alerts for structural trend changes.
Liquidity Sweeps by EVThis indicator is designed to detect liquidity sweeps and stop hunts by identifying when price briefly moves beyond key swing highs or lows and then rejects those levels. It highlights areas where buy-side or sell-side liquidity has been taken, offering traders a clear and objective way to read liquidity-driven market behavior.
Buy-side liquidity sweeps occur when price trades above a previous swing high and fails to hold, while sell-side liquidity sweeps occur when price trades below a previous swing low and quickly recovers. All detections are based on confirmed pivots, ensuring the indicator is fully non-repainting and reliable in live trading conditions.
The indicator allows users to choose between close-based or wick-based confirmation and can optionally mark only the first sweep of each liquidity level to reduce chart noise. Liquidity levels can be visualized directly on the chart, providing precise contextual references for market structure, VWAP confluence, and potential reversals.
Evil's Weekly Momentum ScoreA momentum scoring system that ranks any ticker on a 0-100 scale based on multi-timeframe relative strength. Built for weekly rotation decisions - example, I like to check this every Tuesday when it's nice and quiet, then rotate into the 3 strongest names.
Works on sector ETFs (XLK, XLF, XLE, etc.), mega caps (AAPL, NVDA, MSFT, GOOGL), or any liquid ticker watchlist you'd like to rank. Sector ETFs are probably more stable, mega caps have higher volatility; build your watchlist according to your comfort threshold.
How It Works
The indicator combines four components into a single score:
13-Week Momentum (40%) - Quarterly relative strength vs SPY. Where are institutions rotating?
4-Week Momentum (25%) - Monthly trend confirmation. Is the medium-term move intact?
2-Week Acceleration (20%) - Is momentum speeding up or fading? Catches turns early.
10-Week MA (15%) - Trend filter. Price above or below the 10-week moving average.
Each component is measured relative to SPY by default, so you're seeing true outperformance - not just whether something is going up, but whether it's beating the market.
Signal Levels
90+ : ON FIRE 🔥
80-89 : STRONG BUY
70-79 : BUY
50-69 : HOLD
Below 50 : AVOID
In my opinion, cash is a valid position so I don't rotate into scores below 80.
Features
Toggle each component on/off — weights auto-redistribute
Compare to SPY or use absolute momentum
Dashboard overlay sits on your price chart
Position dashboard anywhere: top/bottom, left/right
Alerts for signal level crossings
How To Use It
Add to your watchlist and flip through charts. Compare scores across sectors or mega caps. Rotate into the highest-scoring names, trim or avoid the lowest. Green values in the dashboard = outperforming. Red = underperforming. Simple.
Best Used For
Weekly sector rotation
Mega cap relative strength ranking
Momentum-based stock selection
Identifying leadership shifts before they're obvious
AlgoYields - AAlgoYields A — Everyday Overlay for Clean, Actionable Context
Please follow — more indicators & ideas coming soon!
Equipped with alerts and customizable styles, this overlay is designed for daily use: attractive look for fast reads, low noise, high signal. It blends a few trusted tools into a single, elegant view so you can track trend, momentum, and breakouts without overcrowding.
What’s inside
Trading Session Backdrop
Quarter-tinted background (distinct color per quarter) for quick macro orientation; subtle week-to-week transparency shifts; CME pre-market, regular session, and post-market shading; weekends left clear.
Includes multiple curated color palettes. Ask if you want a custom theme.
EMA Cloud
A staircase of short EMAs for trend strength + two macro EMAs (defaults: 80 & 200). Macro EMAs auto-tint: blue when price is above, orange when below.
All lengths are user-configurable.
RSI-Derived Bar Colors
Contextual bar coloring by RSI level/zone to make strength/weakness instantly visible.
Comes with multiple palettes optimized for light/dark charts.
Price Channel & Breakouts
Select band source: Close (tight), HLC3 (medium), or High/Low (widest). Breakout dots print above/below bars and are color-coded by trend context:
Green : break below lower band in an uptrend (buy-the-dip candidates).
Yellow : break above upper band in an uptrend (potential exhaustion / quick scalp).
Orange : break below lower band in a downtrend (continuation shorts).
Red : break above upper band in a downtrend (fade-the-pop entries).
Buffer values can be tuned to reduce noise or enhance reactivity
How to use it
––––––––––
Bullish Breakdowns ( green dots) — often attractive dip-buys within uptrends.
Confirm with macro-EMA slope: steeper = stronger follow-through; flatting slope = take quicker profits and watch for potential rollover.
Bullish Breakouts ( yellow dots) — be selective. If RSI confirms strength, these can be solid for quick scalps; otherwise, beware “touch-and-fade” at the upper band.
Apply the same logic in reverse for shorts:
Bearish Breakouts ( red ) and Bearish Breakdowns ( orange ) favor short entries/continuations.
Inputs worth tweaking
EMA lengths (short stack + macro 80/200 defaults).
RSI bar-color palette (pick for light/dark themes).
Channel source (Close / HLC3 / High-Low) and breakout buffer.
Session/quarter palette selection.
Alerts
Choose from built-in signals (channel breaks, EMA crosses, significant RSI levels).
Notes & best practices
Backtest breakouts per asset/timeframe to tune buffers and TP/SL targets.
Use level + slope together: RSI/EMA levels flag conditions; slope confirms impulse/continuation.
Let the EMA cloud and macro EMAs set bias; use RSI bars and breakout dots for timing.
Liquidity Zones (Pivot-based) Buyside/SellsideDescription
This indicator highlights potential liquidity zones based on confirmed swing highs and swing lows (pivot-based logic).
Buyside liquidity zones are drawn above swing highs, where short stops and breakout liquidity are likely to rest.
Sellside liquidity zones are drawn below swing lows, where long stops are typically clustered.
Zones are sized dynamically using ATR-based thickness, extended forward in time, and automatically removed once price trades through them (wick-based or close-based, configurable).
The script is designed to help traders:
Visualize areas where liquidity is likely to be targeted
Anticipate stop hunts and liquidity grabs
Improve timing around reversals, continuations, and range extremes
This tool is not a liquidation heatmap and does not rely on exchange or order book data.
Instead, it provides a price-action–based proxy for liquidity, fully compatible with ICT / SMC-style market structure analysis.
Key features :
-Pivot-based buyside & sellside liquidity zones
-ATR-adjusted zone thickness
-Automatic extension and cleanup of zones
-Adjustable sensitivity and zone limits
-Works on any market and timeframe
Bollinger BandsThis indicator is a locked Bollinger Band system designed around a long-term volatility envelope. It uses an EMA(100) as the central “basis” line and builds the upper and lower bands at 3.5 standard deviations from the basis, creating a wide channel that highlights extreme price expansion rather than frequent mean-reversion touches. In addition to the standard bands, the script plots two intermediate guide lines located at 33.33% of the distance from the basis toward the upper and lower bands. These 1/3-zone lines help visually segment the band into core, mid, and extreme areas, making it easier to judge how far price has stretched relative to the EMA and current volatility. Traders can use the basis as a trend reference, the 33.33% lines as “early extension” or pullback checkpoints, and the outer bands as high-stretch boundaries for risk management, scaling, and contextual decision-making on intraday charts.
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble
Executive Summary:
The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms.
Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail.
This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics.
1. The Core Philosophy: Why "Slope" Matters:
In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope.
This script introduces a novel approach: Slope Fitting.
Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?"
The Dual-Functionality of the Normalized Oscillator
The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously:
Directional Bias (The Slope):
When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights.
Overbought / Oversold (OB/OS) Identification:
Because the output is mathematically clipped and normalized:
Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion.
Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone.
Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift.
2. The "Mixture of Experts" (MoE) Architecture:
Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes.
This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome.
The 13 "Experts" Inside the Code:
All algorithms have been engineered to be Non-Repainting.
Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth.
Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points.
Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points.
Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs.
Coppock Curve: A momentum indicator originally designed for long-term market bottoms.
Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles.
MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns.
Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies.
Hilbert Transform: Measures the instantaneous position of the cycle.
Autocorrelation: measures the correlation of the current price series with a lagged version of itself.
SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting).
Wavelet (Simplified): Decomposes price into approximation and detail coefficients.
EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory.
3. The Adaptive "GBM" Learning Engine
This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart.
How it works:
Fitting Window: On every bar, the system looks back 20 days (configurable).
Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price.
Directional Bonus: It checks if the algorithm is pointing in the same direction as the price.
Weight Optimization:
Algorithms that match the price direction and correlation receive a higher "Fit Score."
Algorithms that diverge from price action are penalized.
A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively.
The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top.
4. How to Read the Interface:
The visual interface is designed for maximum information density without clutter.
The Dashboard (Bottom Left - GBM Stats)
Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise.
Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend).
Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision.
The Matrix (Bottom Right - Weight Table)
This table lifts the hood on the engine.
Fit Score: How well this specific algo is performing right now.
Corr/Dir: Raw correlation and Direction Match stats.
Weight: The actual percentage influence this algorithm has on the final line.
Cycle: The current value of that specific algorithm.
Regime: Identifies if the consensus is Bullish, Bearish, or Neutral.
The Chart Overlay
The Line: The Gradient-Colored line is the Weighted Ensemble Prediction.
Green: Bullish Slope.
Red: Bearish Slope.
Triangles: Zero-Cross signals (Bullish/Bearish).
"STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum.
Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down).
5. Trading Strategies:
A. The Slope Reversal (OB/OS Fade)
Concept: Catching tops and bottoms using the -1/+1 normalization.
Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8).
Trigger: The entry is taken not when it hits the level, but when the Slope flips.
Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative).
Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive).
B. The Zero-Line Trend Join
Concept: Joining an established trend after a correction.
Signal: Price is trending, but the Cycle pulls back to the Zero line.
Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend.
C. Divergence Analysis
Concept: Using the "Fit Score" to identify weak moves.
Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High.
Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning.
6. Technical Configuration:
Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability.
GBM Learning Rate (Default: 0.25): Controls how fast weights change.
High (>0.3): The system reacts instantly to new behaviors but may be "jumpy."
Low (<0.15): The system is very smooth but may lag in regime changes.
Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains.
Slope Lookback: The period over which the slope (velocity) is calculated.
7. Disclaimer & Notes:
Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals.
Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box.
Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management.
Author's Note
The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream.
If you find this tool useful, please leave a Boost and a Comment below!
Trade Decision MatrixTrade Decision Matrix (TDM)
Trade Decision Matrix (TDM) is a professional-grade, multi-phase market intelligence indicator designed to assist traders in understanding market structure, regime behavior, capital confidence, and execution readiness using a systematic, probabilistic framework.
This indicator does not generate trade signals. Instead, it provides a structured decision matrix similar to institutional trading desks, combining regime analytics, entropy confidence, Bayesian reliability, capital allocation logic, and scenario interpretation.
🔹 Core Architecture
TDM is built using a nine-phase institutional decision pipeline:
Phase 1 — Market Context
Spot–future basis, volatility normalization, and structural slope detection.
Phase 2 — Regime Engine
Probabilistic classification of Trend, Breakout, Range, or Mean Reversion environments.
Phase 3 — Orthogonal Model Cores
Independent statistical, trend, breakout, and mean-reversion cores.
Phase 4 — Bayesian Reliability Engine
Adaptive reliability scoring for each core using Bayesian reinforcement.
Phase 5 — Capital Engine
Capital confidence and capital mode based on opportunity quality, regime clarity, entropy confidence, and risk filters.
Phase 6 — Decision Matrix
Bias, participation level, and trade quality grading.
Phase 7 — Scenario Engine
Contextual scenario interpretation such as Trend Expansion, Breakout Failure, Range Compression, etc.
Phase 8 — Execution Gate
Execution readiness filter based on capital and model alignment.
Phase 9 — Reversal Engine
Probabilistic reversal risk estimation using multi-factor logic.
🔹 Regime Entropy Confidence
TDM uses Shannon entropy to measure regime uncertainty and converts it into a confidence score.
Lower entropy = higher regime confidence.
Higher entropy = unstable or transitional market state.
This prevents over-confidence in noisy conditions.
🔹 Institutional Commentary Engine
A professional commentary layer interprets all internal engines and outputs institutional-style guidance such as:
• Institutional Alignment
• Capital Protection Mode
• Regime Uncertainty
• Momentum Continuation
• Structural Breakout
• Volatility Coiling
• Reversal Risk Elevated
This commentary is designed for situational awareness, not signal generation.
🔹 Dashboard
The dark-theme dashboard provides a compact institutional decision panel:
• Regime
• Entropy Confidence
• Scenario
• Bias
• Strength
• Capital Confidence
• Capital Mode
• Trade Quality
• Execution State
• Commentary
• Reversal Risk
All values are color-coded with heat shading for instant visual interpretation.
🔹 How To Use
TDM is best used as a decision support layer alongside your own trading strategy.
Typical workflow:
Identify regime and entropy confidence.
Observe capital confidence and capital mode.
Check scenario and bias alignment.
Confirm execution readiness.
Monitor reversal risk before entering or holding positions.
This tool is ideal for:
• Intraday traders
• Swing traders
• Options traders
• Index traders
• Systematic discretionary traders
🔹 Important Notes
• This indicator does NOT produce buy/sell signals.
• It is a decision intelligence framework.
• It should not be used as a standalone trading system.
• Always apply personal risk management.
🔹 Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute financial advice or investment recommendations.Trading involves risk. Users are responsible for their own trading decisions.
Momentum Status Tracker by VKKScript Coder: Vivek K.
Disclaimer : Use this indicator at your own risk. Do proper back testing to make sure it works for you. I am not responsible for any losses you may have. Indicator may give false signals during consolidation state. Make sure to use other indicators for correct momentum or directional confirmations.
Bullish: Price is above the 5, 13, 20 EMAs AND the VWAP.
Bearish: Price is below the 5, 13, 20 EMAs AND the VWAP.
Cautious: This triggers when the "stack" is broken. For example, if you are in a clear uptrend but the price closes below the 5 EMA, the table will flip to Cautious to warn you of a potential slowdown.
Neutral: Used as a fallback if the price is chopping directly inside the EMA cluster.
SuperTrend AI + PVSRA Full DashboardI tried to combine various indicators already created in a single version that can also guarantee a certain customization on colors, intensity of tables, etc. etc. The functioning, the operation is similar to the previous ones, I won't go into detail, at most take a look at the previous versions.
1. The "AI" Component: Multi-SuperTrend Clustering
Instead of using a single SuperTrend with a fixed multiplier, this script:
Simultaneously runs multiple SuperTrends with different sensitivities (multipliers).
Evaluates Performance: It tracks which multiplier would have been most profitable in recent bars.
K-Means Clustering: It uses an AI algorithm to group these multipliers into "Best," "Average," and "Worst" clusters.
Adaptive Trailing Stop: It automatically selects the "Best" multiplier to plot the AI Trailing Stop line on your chart, making it more responsive to changing market volatility than a standard indicator.
2. PVSRA Logic (Institutional Volumes)
PVSRA stands for Price Volume Support Resistance Analysis. The script re-colors candles based on volume intensity:
Climax Bull (Bright Green): Extremely high volume on a bullish candle. Usually indicates institutional buying or a trend climax.
Climax Bear (Magenta/Purple): Extremely high volume on a bearish candle. Usually indicates institutional selling or a panic bottom.
Rising (Grey/Silver): Above-average volume, showing increasing interest.
3. The "Super Confluence" Signal
This is the "Golden Signal" of the script. It triggers a BUY or SELL label only when several conditions align:
AI Trend Switch: The AI Trailing Stop flips direction.
SMA 20 Cross: The AI line crosses the 20-period Simple Moving Average.
Volume Confirmation: A PVSRA Climax or Rising volume must occur on that specific bar.
Directional Alignment: The candle color must match the trend direction.
4. Summary Dashboard (Top Right)
The dashboard provides a "Quick Glance" at the market structure:
AI Trend: Shows if the machine learning model is currently Bullish or Bearish.
PVSRA Vol: Identifies the current volume signature (Normal vs. Climax).
SMA 20/50: Shows medium-term momentum (Bullish if 20 > 50).
Trend 200: Shows the macro trend. ABOVE means long-term bullish; BELOW means long-term bearish.
How to Trade with This Script
Signal Strategy
"SUPER CONFLUENCE BUY" Look for entries. High probability if Trend 200 is "ABOVE".
"SUPER CONFLUENCE SELL" Look for shorts. High probability if Trend 200 is "BELOW".
Magenta/Green Candles Caution: These are "Stop Hunts" or "Institutional Entries." Do not
trade against these candles without a clear reversal pattern.
Technical Tip
The variable target_f is the "AI-optimized multiplier." If you see this value changing frequently in the dashboard, it means the market is volatile, and the AI is struggling to find a stable trend. If it stays consistent, the trend is likely solid.
Thanks everyone and happy trading
