Monday to Friday MarkersDay of Week marker. True day open. Monday through friday times weekends not included
Zyklen
Trend + Momentum Zones — Early Signals on the DailyWhy?
Spot potential reversals 1–2 candles early on the daily chart with clear red/green zones that keep decision-making simple.
What you get
Crystal-clear sell zones: Overheated areas highlighted in a red band at a glance.
Defined buy zones: Deep pullbacks flagged in a green band with early warnings.
Trend-aware logic: Aligns with market regime to reduce false signals.
Whipsaw filter: Dampens noise on choppy days.
Alert-ready: Plug-and-play BUY/SELL markers for easy alerts.
Flexible thresholds: Adjust bands to match volatility and your style.
How to use
Primary timeframe: Daily (3D/1W also supported if you prefer).
Reading:
Green band = potential accumulation.
Red band = potential profit-taking.
Best practice: wait for band exit + trend confirmation for higher conviction.
Who is it for?
Swing & position traders
Crypto / majors / index futures watchers
Anyone who wants zones, not clutter
Important
This is not a standalone system. Use with risk management, multi-timeframe context, and key S/R levels.
Quick start
Add to chart → set Daily.
Tune upper/lower bands to market volatility.
Enable alerts on BUY/SELL markers and follow your plan.
Tags: #trend #momentum #zones #daily #swing #riskmanagement #crypto #forex #indices
COT Index v.2COT Index v.2 Indicator
( fix for extreme values)
📊 Overview
The COT (Commitment of Traders) Index Indicator transforms raw COT data into normalized indices ranging from 0-100, with extensions to 120 and -20 for extreme market conditions. This powerful tool helps traders analyze institutional positioning and market sentiment by tracking the net long positions of three key market participant groups.
🎯 What It Does
This indicator converts weekly CFTC Commitment of Traders data into easy-to-read oscillator format, showing:
Commercial Index (Blue Line) - Smart money/hedgers positioning
NonCommercial Index (Orange Line) - Large speculators/funds positioning
Nonreportable Index (Red Line) - Small traders positioning
📈 Key Features
Smart Scaling Algorithm
0-100 Range: Normal market conditions based on recent price action
120 Level: Extreme bullish positioning (above historical maximum)
-20 Level: Extreme bearish positioning (below historical minimum)
Dual Time Frame Analysis
Short Period (26 weeks default): For current market scaling
Historical Period (156 weeks default): For extreme condition detection
Flexible Data Sources
Futures Only reports
Futures and Options combined reports
Automatic symbol detection with manual overrides for HG and LBR
🔧 Customizable Settings
Data Configuration
Adjustable lookback periods for both current and historical analysis
Report type selection (Futures vs Futures & Options)
Display Options
Toggle individual trader categories on/off
Customizable reference lines (overbought/oversold levels)
Optional 0/100 boundary lines
Adjustable line widths and colors
Reference Levels
Upper Bound: 120 (extreme bullish)
Overbought: 80 (default)
Midline: 50 (neutral)
Oversold: 20 (default)
Lower Bound: -20 (extreme bearish)
💡 Trading Applications
Contrarian Signals
High Commercial Index + Low NonCommercial Index = Potential bullish reversal
Low Commercial Index + High NonCommercial Index = Potential bearish reversal
Market Sentiment Analysis
Track institutional vs retail positioning divergences
Identify extreme market conditions requiring attention
Monitor smart money accumulation/distribution patterns
Confirmation Tool
Use alongside technical analysis for trade confirmation
Validate breakouts with positioning data
Assess market structure changes
📊 Visual Elements
Status Table: Displays current settings and symbol information
Color-Coded Lines: Easy identification of each trader category
Reference Levels: Clear overbought/oversold boundaries
Extreme Indicators: Visual cues for unusual market conditions
⚠️ Important Notes
COT data is released weekly on Fridays (Tuesday data)
Best suited for weekly and daily timeframes
Requires symbols with available CFTC data
Works automatically for most futures contracts
🎯 Best Practices
Use in conjunction with price action analysis
Look for divergences between price and positioning
Pay special attention to extreme readings (120/-20 levels)
Consider all three indices together for complete market picture
Allow for data lag (3-day delay from CFTC)
This indicator is ideal for swing traders, position traders, and anyone interested in understanding the positioning dynamics of professional vs retail market participants.
IPDA Time High/L🧭 IPDA Time Pivot High/Low (3•6•9)
Precision timing meets liquidity delivery.
🔹 Concept
This tool is built on the idea that price is delivered by time, not structure — a core belief in Zeussy/Smart Money–style analysis.
Certain time signatures, known as IPDA times (where the digits of hour and minute reduce to 3, 6, or 9), often align with reversals, traps, or accelerations in market delivery.
These times represent rhythmic energy cycles in algorithmic delivery, marking when liquidity is often redistributed.
🔹 What the Indicator Does
Scans your selected time window (default: 9:00–11:00, New York).
Identifies candles forming micro pivots — a candle that’s higher or lower than both its immediate neighbors.
Filters only those pivots that occur at IPDA times (digital roots of 3, 6, or 9).
Prints a clean, minimal time label (HH:MM) above or below each qualifying candle.
Labels dynamically adjust to your chart’s timezone and vertical spacing for clarity.
🔹 Why It’s Useful
These moments often align with:
Engineered traps during liquidity hunts.
Session transitions (e.g., London → NY Open).
Delivery shifts where price changes direction into the Draw on Liquidity (DOL).
By highlighting only precise, time-based pivots, this indicator helps traders:
Anticipate timing-based reversals,
Align narrative with smart-money delivery cycles,
And build refined entries within the NY AM session.
🔹 How to Use
Apply the indicator to your chart.
Set the timezone (default: America/New_York).
Focus on your session window (e.g., 09:00–11:00).
Observe when price reaches your POI or liquidity pool during an IPDA time — those candles are often where manipulation or delivery begins.
Combine with your own narrative tools (SMT, CISD, DOL, POI) for confirmation.
🔹 Features
Automatic timezone alignment
Adjustable session hours
Transparent, minimalistic time labels
Custom label size & offset for clean chart aesthetics
Works on all intraday timeframes
🔹 Philosophy
“Price is delivered by time, not structure.”
— Zeussy
This indicator was designed for traders who study timing as a function of delivery,
not just structure — allowing you to see when the algorithm intends to act.
Smart Money vs Retail (COT Flow) 0213Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
AnkeAlgo A68 strategy™ || AnkeAlgo®[16.6]## ✅ Multi-Timeframe Trend Strategy Based on MFI and Momentum Factors
### 📌 Overview
This strategy combines **Money Flow Index (MFI)** and **Momentum** to identify trend continuation and momentum reversal opportunities in the crypto market. It focuses on volume-weighted capital flow and price strength, generating trend-biased signals suitable for swing and intraday traders.
---
### 📊 Technical Indicators Used
| Indicator | Purpose |
|-----------|---------|
| **MFI (Money Flow Index)** | Detects capital inflow/outflow and filters range-bound markets |
| **Momentum Indicator** | Measures price acceleration and confirms breakout strength |
| **Optional: ATR / EMA Filters** | Can be added for volatility stop or trend validation |
---
### ⚙️ Core Logic
- **Trend Confirmation**: MFI exceeds threshold and aligns with price direction
- **Momentum Entry Trigger**: Trades are executed only when momentum crosses a signal level
- **Noise Filter**: Avoids entries when MFI divergence or momentum weakness is detected
- **Position Management**: Supports ATR-based or percentage-based stop-loss systems
---
### 🪙 Market and Asset
✅ Designed for crypto derivatives
**Recommended symbol:** `ETHUSDT.P` (Perpetual Futures)
---
### ⏱️ Recommended Timeframes
- 30-minute
- 45-minute
- 1-hour
> The **45m timeframe** shows the most stable performance in forward testing.
---
### 📈 Strategy Features
- Performs best during trending and high-momentum phases
- Low overfitting risk, adaptable across different volatility environments
- Can be used as a signal engine for grid, martingale, or multi-asset systems
- Easily extendable to BTC, SOL, BNB, and other high-liquidity assets
---
### ⚠️ Risk Disclaimer
- This is **not** a mean-reversion strategy and may produce false signals in sideways markets
- Stop-loss management and position sizing are required for live deployment
- Backtest results do not guarantee live trading performance due to slippage and trading fees
---
DSS Bressert by MaxCapDSS Bressert by MaxCap is an enhanced version of the Double Smoothed Stochastic (DSS) oscillator, originally developed by Robert Bressert.
It is designed to identify overbought/oversold market conditions and detect momentum shifts using a double-smoothing stochastic calculation.
⸻
⚙️ How It Works
This indicator applies a two-stage stochastic calculation with double exponential smoothing to reduce noise and provide smoother trend signals.
1. Phase 1 (MIT):
A standard stochastic is calculated over the selected Stochastic_period, measuring the current close relative to the high-low range.
This value is then smoothed using an exponential moving average (EMA).
2. Phase 2 (DSS):
A second stochastic is applied on the smoothed MIT line using the same stochastic period, followed by another EMA smoothing step.
The result is a smooth and responsive momentum oscillator that filters out market noise.
This double-smoothing technique allows DSS to remain responsive to price changes while avoiding false reversals that are common with the traditional stochastic.
⸻
🎨 Visualization
• The orange line represents the main DSS value.
• Blue dots appear when DSS is rising (bullish momentum).
• Red dots appear when DSS is falling (bearish momentum).
• The horizontal levels 20 and 80 mark oversold and overbought zones, respectively.
⸻
🧠 Signal Interpretation
• DSS > 80: Overbought zone — possible downward reversal.
• DSS < 20: Oversold zone — possible upward rebound.
• DSS rising after crossing above 20: Bullish signal.
• DSS falling after crossing below 80: Bearish signal.
• Color change (blue ↔ red) may indicate a momentum shift.
⸻
⚙️ Input Parameters
Parameter Description Default Value
EMA Period EMA smoothing period 8
Stochastic Period Period for stochastic calculation 13
⸻
💡 Advantages
• Smoother and more reliable than a standard stochastic.
• Reduces market noise and false signals.
• Accurately reflects real momentum shifts.
• Color-coded visualization for clearer signal reading.
⸻
Smart Money vs Retail (COT Flow) 0213Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
MA Cloud + Linha Média🧠 Description of “MA Cloud + Average Line” Indicator
This Pine Script indicator combines multiple moving averages (MAs) into a dynamic visualization that helps traders identify market trends, momentum shifts, and trend strength. It creates a colored cloud between the fastest and slowest moving averages, and also plots an average line representing the mean of all active MAs.
⚙️ 1. Core Features
Multiple Moving Averages (MAs)
Supports up to four customizable moving averages (MA1, MA2, MA3, MA4).
Each MA can use different types:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
RMA (Smoothed Moving Average)
Hull MA (Hull Moving Average)
LSMA (Least Squares Moving Average)
The trader can define each MA’s period, color, and choose whether it’s active or not.
Trend Color Coding
Each MA changes color based on its slope:
Green (or chosen “Up Color”) when rising
Red (or chosen “Down Color”) when falling
This gives instant visual feedback on short-term direction.
MA Cloud (Trend Zone)
When the “Cloud” is active, the area between the minimum and maximum of all active MAs is shaded.
The cloud changes color based on alignment:
🟩 Green Cloud – all MAs are aligned upward (strong bullish trend).
🟥 Red Cloud – all MAs are aligned downward (strong bearish trend).
⚪ Gray Cloud – mixed alignment (no clear trend / consolidation).
Average Line (Mean of All MAs)
Calculates the average of all active MAs and plots it as a central “mean” line.
Serves as a dynamic trend guide — when price is above it, the market tends to be bullish; below it, bearish.
The color of the line follows the current cloud color for consistency.
📈 2. How It Helps Identify Trends
This indicator provides multiple layers of trend confirmation:
Visual Element Interpretation Trend Insight
MA Slope Color Green (Up) / Red (Down) Short-term momentum direction
MA Cloud Color Green / Red / Gray Overall trend alignment across timeframes
Average Line Mean of all MAs Acts as a “trend equilibrium” line
Price vs. Average Line Above = Bullish / Below = Bearish Confirms trend bias
🔍 3. Example Use Cases
Trend Following
Enter long trades when all MAs are aligned (Cloud = Green) and price is above the average line.
Enter short trades when the Cloud is Red and price is below the average line.
Trend Strength Confirmation
The wider the distance between MAs (thicker cloud), the stronger the ongoing trend.
A narrowing cloud or color shift (green → gray → red) can warn of trend reversal or consolidation.
Dynamic Support and Resistance
The MA Cloud acts as a support zone in uptrends and resistance zone in downtrends.
Traders can use the edges of the cloud to identify possible pullback entry zones.
Multi-Timeframe Analysis
By using fast MAs (e.g., 20/50) and slow MAs (100/200), traders can visualize short-term vs. long-term trend interaction, similar to “Golden Cross” and “Death Cross” setups.
🧩 4. How to Use It Practically
Step 1: Enable only the MAs you need (e.g., 20, 50, 200).
Step 2: Observe the cloud color:
🟩 Green → Favor long trades
🟥 Red → Favor short trades
⚪ Gray → Wait for confirmation
Step 3: Use the average line as a filter:
Trade only in the direction of the average line’s slope.
Step 4: Combine with volume, RSI, or price action to refine entries.
💬 Summary
Indicator Name: MA Cloud + Average Line
Purpose: Visual trend detection and confirmation
Best For: Swing and trend-following traders
Signals Provided:
Trend alignment (via color-coded cloud)
Momentum shifts (via MA color changes)
Dynamic support/resistance (via cloud zones)
Overall trend bias (via average line)
DRACO TOMAS EMA Trend Follower🐉 DRACO TOMAS EMA Trend Follower
Description:
The DRACO TOMAS EMA Trend Follower is a simple yet powerful trend-following strategy designed to capture directional moves based on exponential moving average (EMA) crossovers. It automatically detects trend changes and manages positions dynamically.
Core Logic:
The strategy uses two EMAs — a Fast EMA (default 12) and a Slow EMA (default 21) — to identify the market trend.
When the Fast EMA crosses above the Slow EMA, the strategy opens a long position, signaling bullish momentum.
When the Fast EMA crosses below the Slow EMA, the strategy opens a short position, signaling bearish momentum.
The color of the EMAs changes dynamically: green for uptrends, red for downtrends.
Exit rules:
Longs are closed when the EMAs turn red (trend reversal to bearish).
Shorts are closed when the EMAs turn green (trend reversal to bullish).
Position Sizing:
The system uses 10% of equity per trade by default, allowing flexible risk management and compounding.
Purpose:
Designed for traders who want a clean and efficient EMA crossover system to follow trends automatically on any timeframe or asset.
Best Used For:
Swing trading and trend confirmation
Identifying major directional shifts
Testing EMA-based momentum systems
Chart Info Display (HOKO) 2It displays 3 things on the screen in order: symbol, date, time frame. You can use it to capture educational videos to make your chart more beautiful, more private, and more practical.
Advanced Time TechniqueAdvanced Time Technique (ATT)
The Advanced Time Technique (ATT) identifies mathematically significant price levels based on candle count sequences within higher timeframes. The indicator tracks specific numerical patterns to project potential reversal zones.
Calculation Methodology:
- Monitors candle cycles in user-selected higher timeframes (1H, 2H, 3H)
- Identifies key candle counts: 3, 11, 17, 29, 41, 47, 53, 59
- Projects these counts as visual markers on the current chart
- Uses pure price action without lagging indicators
Key Features:
- HTF Candle Boxes: Displays higher timeframe candle ranges as colored boxes
- ATT Circles: Places circular markers at specified candle counts
- Multi-timeframe Analysis: References 1-hour, 2-hour, or 3-hour timeframes
- Prediction Labels: Shows upcoming ATT levels within user-defined range
- Historical Display: Optional viewing of past ATT markers
Visual Components:
- Colored boxes representing HTF candle ranges (bullish/bearish)
- Circle markers positioned above/below bars based on candle color
- Optional numerical display on ATT circles
- Customizable colors and transparency settings
Trading Applications:
- Identifies potential reversal zones at mathematically significant intervals
- Highlights liquidity concentration areas
- Useful for intraday and scalp trading strategies
- Complements price action and market structure analysis
The indicator works by counting candles within the selected higher timeframe and marking specific numerical sequences where price reactions commonly occur.
Hoko Quarterly Theory is it this Quarterly Theory but for faraz................................................................................................................................................................................................................
HOKO Doubling Theorythis script is like Quarterly theory but with bigger box .............................................................................................................................
Chart Info Display (HOKO)this script show you three information , symbol , date , time frame .........................................................................................................................................................
Seasonal Performance Analyzer | AlphaNatt📊 Seasonal Performance Analyzer | AlphaNatt
📈 Overview
Unlock the power of seasonality with this advanced visualization tool that reveals hidden patterns in market behavior. The Seasonal Performance Analyzer overlays multiple years of historical data for any selected month, allowing traders to identify recurring seasonal trends, anomalies, and potential trading opportunities.
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✨ Key Features
🎯 Month-by-Month Analysis
- Isolate and analyze any single month across multiple years
- Compare up to 20 years of historical performance
- Instantly visualize seasonal patterns and trends
📊 Advanced Visualization
- Beautiful gradient coloring from oldest (light blue) to newest (dark blue) years
- Clean axis system with labeled days and months
- Professional grid layout for easy value reading
- Optional average line showing mean performance across all years
🔧 Flexible Display Options
- Normalize to 100: Start each year at a base value of 100 for easy percentage comparison
- Raw Price Mode: View actual price movements without normalization
- Customizable Colors: Adjust gradient colors and transparency to your preference
- Toggle Features: Show/hide year labels, average line, and day labels
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⚙️ Input Parameters
📅 Time Settings
- Select Month: Choose any month (1-12) for analysis
- Years to Display: Show 1-20 years of historical data
- Include Current Year: Option to include incomplete current year data
🎨 Visual Settings
- Line Transparency: Adjust the opacity of year lines (0-100)
- Gradient Colors: Customize oldest and newest year colors
- Average Line: Color and width customization
- Legend Display: Toggle year labels on/off
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💡 Use Cases
1. Seasonal Trading Strategies
Identify months with consistent directional bias for seasonal entry/exit timing
2. Risk Management
Spot historically volatile periods and adjust position sizes accordingly
3. Pattern Recognition
Discover recurring intra-month patterns like "first week strength" or "mid-month reversals"
4. Comparative Analysis
Compare current month's performance against historical averages to gauge relative strength
5. Anomaly Detection
Quickly identify years that deviated significantly from typical seasonal patterns
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📖 How to Use
Step 1: Add the indicator to your chart
Step 2: Select the month you want to analyze (default: November)
Step 3: Choose how many years of history to display
Step 4: Toggle normalization based on your analysis needs
Step 5: Look for patterns:
• Consistent trends across multiple years
• Divergences from the average line
• Specific days with recurring movements
• Years that broke the seasonal pattern
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🎯 Pro Tips
✅ For Swing Traders: Focus on months showing consistent multi-day trends
✅ For Day Traders: Identify specific days within a month that show repetitive behavior
✅ For Investors: Use normalized view to compare percentage gains across years
✅ For Risk Analysis: The wider the spread between years, the less reliable the seasonal pattern
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📊 Example Insights
This indicator can reveal powerful insights such as:
- "November typically shows strength in the first two weeks"
- "Years above the average line tend to continue outperforming"
- "Day 15-20 historically shows consolidation patterns"
- "Election years show different patterns than non-election years"
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⚠️ Important Notes
- Past performance does not guarantee future results
- Seasonality is one factor among many - combine with other analysis methods
- Major events can override seasonal patterns
- Works best on assets with long price history
- More years of data generally provides more reliable patterns
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🏆 Perfect For:
- Seasonal traders
- Swing traders looking for optimal entry months
- Analysts studying market cycles
- Anyone interested in historical market patterns
- Risk managers assessing seasonal volatility
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Created by AlphaNatt - Empowering traders with advanced seasonal analysis
Version: 1.0
Pine Script: v6
License: Mozilla Public License 2.0
BTP Swing InfoPanel Mk02 _ PublicBTP Swing InfoPanel Mk02 _ Public
An infopanel dedicated to be used as a guide on asset details.
Price Movement Alert with Previous Close as ReferenceFunctionality of the Indicator
The "Price Movement Alarm with Previous Day Close as Reference" indicator is a tool that helps you monitor significant price levels based on the previous day's closing price. The indicator calculates both decline and rise thresholds in specified percentages to generate potential trade alerts. The lines on the chart represent these thresholds, and the corresponding labels show the exact percentage.
Usage Instructions:
Previous Day's Close: The indicator uses the previous trading day's close as the reference point.
Setting Decline and Rise Percentages: You can adjust the alarm levels for declines (e.g., 0.5%, 1.0%, 1.5%, 2.0%, 2.5%, 3.0%) and rises (e.g., 0.5%, 1.0%, 1.5%, 2.0%, 2.5%, 3.0%).
Lines and Labels: The indicator draws lines on the chart and displays labels that indicate the percentage of price movement.
Market Analysis: Analyze the price movements to make potential trading decisions.
Market in Equilibrium:
A market is in equilibrium when price movements remain within a narrow range (e.g., 0.5% to 1%). During this phase, volatility is low, and there are no significant price changes.
Market not in Equilibrium:
A market is not in equilibrium when price movements fall outside the narrow range (e.g., above 1%). During this phase, larger price movements can occur, often triggered by news or economic events.
INFOPANEL_PUBLICThis contains key details of an asset such as:
- market cap
- ave volume
- ave $ volume
- etc.
This will help you assess the asset easily with the information displayed
OHLC Tool Multiple TFThis indicator displays Open, High, Low, and Close (OHLC) levels from multiple timeframes directly on your chart. It allows full customization of line styles, colors, and widths for each OHLC component — not only for the base timeframe, but also for higher timeframes like Daily, Weekly, and Monthly.
Key Features:
- 🔹 Per-TF Styling: Customize color, style, and thickness for each OHLC line (O/H/L/C) independently across base, daily, weekly, and monthly timeframes.
- 🔹 Inheritance Toggle: Optionally inherit base timeframe styles for higher timeframes to maintain visual consistency.
- 🔹 Dynamic Labels: Each OHLC line is labeled with its type and price, rounded to your preferred decimal precision.
- 🔹 Precision Control: Set custom decimal formatting for each timeframe to match asset volatility (e.g. 2 decimals for BTC, 3+ for altcoins).
- 🔹 Length Multipliers: Extend line visibility with adjustable multipliers per timeframe.
- 🔹 Toggle Visibility: Enable or disable OHLC lines for Daily, Weekly, and Monthly timeframes independently.
How to Use:
- Select your base timeframe (e.g. 3G, 15m, 1h) and configure its OHLC line styles under Line Display Settings.
- Enable Daily / Weekly / Monthly OHLC under General Settings > Higher TFs.
- Customize each higher timeframe’s OHLC styles under their respective sections (Daily Line Display, Weekly Line Display, etc.).
- Use the inherit toggle to apply base styles to higher timeframes automatically.
- Tune line length multipliers to extend visibility across your chart.
Ideal For:
- Traders who want to track multi-timeframe OHLC levels with visual clarity.
- Analysts who prefer symbolic, rhythmic, or color-coded chart annotations.
- Anyone seeking a clean, customizable OHLC overlay with precision control.
Perpetual Swing [HCR]The Perpetual Swing is a fully automated swing-direction indicator designed to help traders visualize long-term trend regimes and smooth out noise in volatile markets.
It combines:
• Hash Adaptive CCI – a dynamically tuned Commodity Channel Index that adapts to volatility conditions.
• Regime-based SMMA – a Smoothed Moving Average model used to define bullish and bearish environments.
The indicator continuously monitors both momentum and structural trend, switching bias automatically between long and short conditions.
It can be used on any asset or timeframe to identify directional bias, trend transitions, and potential swing entries.
How it works:
– When the adaptive CCI confirms bullish strength above the SMMA regime, the indicator signals a long bias.
– When momentum and regime flip bearish, it switches to short bias.
– The system remains continuously engaged to capture multi-cycle swings.
bearish Price Below PDL - Complete Multi-Confirmation Alert🎯 KEY IMPROVEMENTS:
1. Enhanced Alert Visibility:$jmoskyhigh
✅ HUGE triangle down marker with "SELL" text
✅ Alert title: "SELL SIGNAL - PDL BREAKDOWN CONFIRMED"
✅ Prominent info panel with red theme
✅ Clear "SELL ALERT: TRIGGERED" status
2. Better Visual Feedback:
Red frame around info panel
Larger shapes and markers
Color-coded confirmations (green = OK, red = FAIL)
Progress percentage displayed
Breakdown price label
3. Complete Alert System:
Main Alert: "SELL SIGNAL - PDL BREAKDOWN CONFIRMED"
Early Warning: "PDL Breakdown Started - Monitoring"
Reset Alert: "Confirmation Lost - Breakdown Reset"
Price Below PDL - Complete Multi-Confirmation Alert🎯 KEY DIFFERENCES - BEARISH VERSION:$jmoskyhigh
1. Core Logic Inversions:
PDL (Previous Day Low) instead of PDH
Below instead of Above
Breakdown instead of Breakout
bars_below instead of bars_above
ma_bearish (Fast < Slow) instead of ma_bullish
2. Visual Changes:
Red color scheme throughout
Red background when below PDL with confirmations
Triangle DOWN for alert (location.abovebar)
Diamond ABOVE bar for breakdown start
Red header in info panel ("PDL:")
Red MA fill when bearish
3. Confirmation Requirements:
✅ Volume Spike - Same logic
✅ MA Bearish - Fast MA < Slow MA
✅ Below VWAP - Price < VWAP
✅ Hold Period - Must stay below PDL with all confirmations
✅ Reset on Failure - Any lost confirmation = complete reset






















