Regression SuperTrend WAIT🔹 DESCRIPTION
Regression SuperTrend + WAIT Panel is a trend-filter and market regime indicator designed to help traders identify the dominant market direction and avoid low-quality trading conditions.
This script combines:
Regression-based SuperTrend to define the primary trend (UP / DOWN)
A WAIT panel to filter tradable conditions
ADX, RSI, and CCI values displayed in a compact panel for quick context
Buy / Sell labels on the chart do not represent entry signals.
They only indicate trend regime changes.
🔹 How to Use
1. Trend Direction
Green line (UP) → Focus on LONG setups only
Red line (DOWN) → Focus on SHORT setups only
2. WAIT Panel
WAIT(L) → Long bias environment, wait for proper entries
WAIT(S) → Short bias environment, wait for proper entries
Low ADX → Weak or ranging market, trading is not recommended
RSI and CCI values are shown for momentum context only.
🔹 Best Practice
This indicator is not a standalone trading system.
It is intended to be used as:
A higher-timeframe bias tool
A trend and regime filter for lower-timeframe strategies or oscillators
Example:
Regression UP + WAIT(L) → Only look for long setups on lower timeframes
🔹 Who Is This For?
Trend-based traders
ICT / market structure traders
Traders who want to clearly identify when NOT to trade
⚠️ Disclaimer
This script is for educational purposes only.
It is not financial advice.
All trading decisions and risk management are the user’s responsibility.
Indikatoren und Strategien
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.
Smart S&D v1.0 [Breaker Blocks]Automatically marks off supply and demand zones based on previous and consequent candles.
Previous and consequent candles can be changed.
Recommend 5:3 for 15m, or 7:5 for 10m
ATR default 1
Volume confirmation off by default but there as an option
The number on bars is the number of times price has bounced off the zone. After 3 bounces (this can be changed/personalized in settings) the zone is exhausted and removed.
If price breaks through a zone, it becomes a breaker zone, flipping supply to demand, or demand to supply. Ideal for a break and retest setup.
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
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.
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
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.
Squeeze ChannelSqueeze Channel
Volatility compression is one of the most reliable precursors to significant price movement. When markets consolidate, energy builds—like a coiled spring waiting to release. This indicator detects these compression phases using the classic squeeze methodology, then captures the consolidation range as a tradeable channel. The tighter the squeeze, the more potential energy stored for the eventual breakout.
What makes this approach effective is the combination of volatility-based timing with price structure. Rather than blindly trading every squeeze release, the indicator defines clear breakout levels based on the actual swing highs and lows formed during compression. This creates objective entry triggers while the squeeze intensity gradient (yellow → red) helps gauge the quality of the setup before committing.
How It Works
Squeeze Detection
The indicator identifies periods of volatility compression when Bollinger Bands contract inside Keltner Channels. A 5-color gradient (yellow → orange → red) visualizes squeeze intensity in real-time—the tighter the squeeze, the closer to red.
Channel Formation
When a squeeze begins, the indicator captures a swing high/low channel:
- Lookback : Grabs the highest high and lowest low over the past N bars
- Lookforward : Allows the channel to expand if price exceeds bounds in the first few bars
- Lock : Once the expansion window closes, the channel locks in place
The channel persists until price breaks out, regardless of whether the squeeze has ended.
Signal Types
Primary Signals
Bullish Breakout | 🔼 Teal Triangle | Close above channel high
Bearish Breakout | 🔽 Red Triangle | Close below channel low
Failed Breakout Reversals
When enabled, the indicator watches for failed breakouts—price breaks one direction then reverses through the opposite channel bound.
Bull Reversal | 💎 Cyan Diamond | Failed bear breakout, reclaims above
Bear Reversal | 💎 Magenta Diamond | Failed bull breakout, breaks below
Extended S/R Retest Signals
After a breakout, channel levels are stored as support/resistance for future retests. These levels remain invisible until price approaches within a user-defined ATR distance.
S/R Bull Breakout | 🔼 Faded Triangle | Breaks above extended resistance
S/R Bear Breakout | 🔽 Faded Triangle | Breaks below extended support
S/R Bull Reversal | 💎 Faded Diamond | Reclaims extended support
S/R Bear Reversal | 💎 Faded Diamond | Rejected at extended resistance
Settings
Squeeze Detection
- Bollinger Length (default: 12) — Shorter length = tighter bands, easier squeeze entry
- Bollinger Multiplier (default: 2.0)
- Keltner Length (default: 20)
- Keltner ATR Multiplier (default: 2.0) — Higher = wider channel, easier squeeze entry
Channel Settings
- Swing Lookback Bars (default: 5) — Bars to look back for initial channel
- Swing Lookforward Bars** (default: 3) — Bars to allow channel expansion
Reversal Detection
- Enable Failed Breakout Reversal — Toggle reversal signals on/off
- Reversal Watch Bars (default: 7) — How long to watch for failed breakout
Extended S/R
- Show Extended S/R Levels — Display historical channel levels
- Enable S/R Retest Signals — Toggle retest signals on/off
- Extended Level Bars (default: 50) — How long levels remain active
- S/R Signal Delay Bars (default: 5) — Delay before retest signals activate (filters noise)
- ATR Proximity Threshold (default: 1.0) — Distance for level visibility
- ATR Length (default: 14)
Visual Guide
- Colored dots = Active squeeze channel (gradient shows intensity)
- Fuchsia dots = Channel waiting for breakout (squeeze ended)
- Faded teal/red dots = Extended S/R levels (appear on proximity)
- Triangles = Breakout signals
- Diamonds = Reversal signals (failed breakouts)
HOHO Oscillator Squeeze With Goldilocks Pivot FractalsDESCRIPTION:
HOHO Oscillator Squeeze With Goldilocks Pivot Fractals combines three powerful technical analysis methodologies into one comprehensive momentum indicator designed for identifying high-probability trading opportunities.
Core Components:
1. HOHO (Hump Oscillator)
Multi-timeframe momentum analysis using dual oscillators (fast and slow) to identify market momentum shifts. The histogram colors change based on momentum direction and strength, providing clear visual cues for trend changes.
2. Squeeze Detection
Bollinger Bands and Keltner Channel compression analysis identifies periods of low volatility (squeeze conditions) that often precede significant price moves. Yellow dots on the zero line indicate active squeeze conditions.
3. Goldilocks Pivot Fractals
Williams Fractals-based reversal detection identifies significant swing highs and lows. BUY and SELL signals are dynamically positioned to "hug" the histogram, providing clear entry and exit signals at major turning points.
Key Features:
- Dynamic Signal Positioning: Arrows and text automatically adjust to histogram height for optimal visibility
- Customizable Visual Elements: Full control over colors for arrows, text, squeeze dots, and histogram
- Multiple Alert Options: Configurable alerts for fractals, squeeze events, and momentum shifts
- Adjustable Sensitivity: Fractal periods can be tuned for different trading styles (lower = more signals, higher = fewer signals)
- Paint Bars Option: Optional bar coloring based on fast or slow oscillator momentum
- Non-Repainting: All signals are based on confirmed price action
- Independent Spacing Controls: Separate BUY and SELL text spacing for perfect visual balance
How to Use:
Entry Signals:
- BUY arrows appear below histogram at swing lows (bullish fractals)
- SELL arrows appear above histogram at swing highs (bearish fractals)
- Best entries occur when squeeze releases coincide with fractal signals
Momentum Confirmation:
- Green histogram = bullish momentum
- Red histogram = bearish momentum
- Lighter shades indicate weakening momentum
- Darker shades indicate strengthening momentum
Squeeze Conditions:
-Yellow dots = Volatility compression (squeeze active)
- Gray dots = Normal volatility (no squeeze)
- Watch for squeeze release followed by directional move
HOHO Settings:
- Adjustable MA lengths and types (EMA/SMA)
- Customizable smoothing parameters
Goldilocks Fractals:
- Fractal Periods: Sensitivity control (default: 2)
- Arrow Spacing: Distance from histogram (default: 2.0)
- BUY Text Spacing: Distance from BUY arrow (default: 1.7)
- SELL Text Spacing: Distance from SELL arrow (default: 0.8)
- Toggle arrows and text independently
Visual Customization:
- Arrow colors (bullish/bearish)
- Text colors (BUY/SELL)
- Squeeze dot colors (ON/OFF)
- Dot size adjustment
Alerts:
- Bullish/Bearish fractal detection
- Squeeze start/release
- Momentum shift crossovers
Best Practices:
- Trend Alignment: Use on higher timeframes (15m+) for more reliable signals
- Confluence: Combine fractal signals with momentum direction for higher probability trades
- Risk Management: Place stops beyond the fractal high/low that triggered the signal
- Squeeze Strategy: Wait for squeeze release before taking directional positions
- Filter Signals: Increase fractal periods (10-20) to focus only on major turning points
Recommended Timeframes:
- Scalping: 5m-15m (fractal periods 2-5)
- Day Trading: 15m-1H (fractal periods 5-10)
- Swing Trading: 4H-Daily (fractal periods 10-20)
Important Notes:
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management. Trading involves substantial risk of loss.
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!
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
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.
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.
***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.
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.
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!
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.
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
My Swiftlike Algo Backtest ATR SL/TP HH/HL/LH/LL BOS/CHOCHSwift-Like Algo is a trend-following strategy that trades pullbacks using EMA trend direction, market structure (HH/HL/LH/LL), and ATR-based risk management.
It enters only in the direction of the trend, with automatic Stop-Loss, TP1, and TP2, and supports full strategy backtesting.
Best used on 15m–4H timeframes for crypto, forex, and indices.
⚠️ For educational and testing purposes only.
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.
ADR% / ATR / LoD dist. Table - V2ADR% / ATR / LoD Distance Table (V2) + ATR Range Lines is a simple “daily volatility dashboard” that helps you quickly judge how extended a stock is during the day and where “normal” daily movement zones sit relative to price.
It’s designed to help you answer:
“Has this stock already made most of its usual daily move?”
“Am I chasing too late?”
“Where are typical +ATR / −ATR stretch and pullback zones?”
What you’ll see
ADR% (Average Daily Range %)
Shows the stock’s typical daily travel (low → high) as a percentage.
Example: ADR% = 4% means the stock often swings ~4% in a normal day.
ATR (Average True Range)
Shows the stock’s typical daily movement in price units ($ / points).
Example: ATR = 2.50 means it often moves about $2.50 per day.
LoD dist. (Low of Day distance)
Shows how far price is from today’s Low of Day, measured relative to ATR (as a %).
Higher % = more extended away from the day’s low.
Optional: ATR Range Lines (added in this version)
You can enable two guide lines that extend to the right:
ATR Up Line = Price + ATR
ATR Down Line = Price − ATR
These act like volatility guardrails to visualize “typical daily stretch” and “typical pullback” zones.
ATR “Live vs Locked” option (important)
Lock ATR to last completed day (no intraday updates):
ON (Locked): Uses the last completed daily ATR (yesterday’s finished value).
✅ ATR stays constant all day while the market is live.
OFF (Live): ATR can update intraday as today’s daily candle expands.
✅ ATR may change during the session.
Either way, ATR is still based on your chosen ATR Length (lookback period). Locking simply prevents the ATR from drifting intraday.
How to use it (Kullamägi-style principle)
Kristjan Kullamägi’s momentum style emphasizes pressing strength when conditions are right, but also respecting extension and risk/reward. This tool helps you quantify that:
If ADR%/ATR suggests the stock already moved near its usual daily range, chasing can be lower reward.
The ATR lines help you visualize when price is in a “normal stretch zone” vs a better risk area.
Locking ATR gives you stable intraday reference levels for cleaner execution.
Tips
Use ADR% to understand whether there’s likely “room” left in today’s move.
Use LoD dist. to quickly gauge if price is already far from the day’s low (extended).
Use ATR Up/Down Lines as a simple volatility framework for entries, add-ons, and risk planning.
Keep Lock ATR ON if you prefer stable levels throughout the session.
Credits
Original indicator concept & script: ArmerSchlucker
ADR% formula credit: MikeC / TheScrutiniser and GlinckEastwoot
Modifications (V2): TradersPod
Added optional ATR Up/Down lines extending to the right
Added “Lock ATR to last completed day” option for stable intraday ATR reference
Kept the original logic and purpose intact
