Multi-Period Performance TableHello friends,
I'm returning to the fascinating world of TradingView publications. Over time, I've accumulated many unpublished ideas — both open- and closed-source — that I now plan to share, alternating between the two. It felt like a shame to let so much valuable work remain unseen. The story isn't over yet — so today, we kick off a new series of invite-only scripts, starting with this indicator.
🛠️ How It Works
The script analyzes your selected number of years of price data, calculating returns for each month, quarter, and season
Advanced algorithms compute comprehensive statistics, including the mean, median, standard deviation, and extremes for each period
Data is presented in an intuitive table with optional heatmap coloring that makes patterns immediately stand out
Sorting of any column allows you to quickly identify the best and worst performing periods
🔥 Key Features
Pine Script V6 – leverages the latest version for better performance
Custom number of years to aggregate statistics
Complete breakdown for all 12 months (Jan-Dec)
Quarter (Q1, Q2, Q3, Q4) statistics
Season (Winter, Spring, Summer, Fall) statistics
Year/Year-to-Date (YTD) statistics
Enable/disable Right-side statistics for each row
Enable/disable Bottom statistics for each column
Heatmap mode with 10 palettes
Sortable columns
Customizable table
Optimized performance - efficient calculations for smooth operation
Universal compatibility – runs smoothly across all assets, timeframes, and market conditions — from euphoric peaks to capitulation lows
📸 Visual Examples
Monthly view
Quarterly view
Seasonal view
Clean table mode - without heatmaps
Default heatmap palette
June column sorted in descending order to quickly identify best/worst years
Turbo palette - high contrast
Spectral palette - professional look
Red/Yellow/Blue palette - classic style
My similar indicators that are also worth paying attention to
Still here? Unlock the full potential of multi-period market analysis — and take your trading to the next level today! 🚀
👋Good luck!
Multitimeframe
Double Bottom Strategy (Long Only, ATR Trailing Stop + Alerts)This script implements a long-only breakout strategy based on the recognition of a Double Bottom price pattern, enhanced with a 50 EMA trend filter and a dynamic ATR-based trailing stop. It is suitable for traders looking to capture reversals in trending markets using a structured pattern-based entry system.
🧠 Key Features:
Double Bottom Detection: Identifies double bottom structures using pivot lows with configurable tolerance.
ATR-Based Trailing Stop: Manages exits using a trailing stop calculated from Average True Range (ATR), dynamically adjusting to market volatility.
EMA Filter (Optional): Filters trades to only go long when price is above the 50 EMA (trend confirmation).
Alerts: Real-time alerts on entry and exit, formatted in JSON for webhook compatibility.
Backtest Range Controls: Customize historical testing period with start and end dates.
✅ Recommended Markets:
Gold (XAUUSD)
S&P 500 (SPX, ES)
Nasdaq (NDX, NQ)
Stocks (Equities)
⚠️ Not recommended for Forex due to differing behavior and noise levels in currency markets.
🛠️ User Guidance:
Tune the pivot period, tolerance, and ATR settings for best performance on your chosen asset.
Backtest thoroughly over your selected date range to assess historical effectiveness.
Use small position sizes initially to test viability in live or simulated environments.
[GetSparx] Lacuna Pro⚡ Lacuna Pro – Institutional Liquidity Framework
This indicator is a premium Smart Money Concepts (SMC) trading toolkit designed to help traders identify high-probability entry and exit zones by visualizing real-time market inefficiencies. It combines Fair Value Gaps (FVGs), Break of Structure (BOS), Change of Character (CHoCH), and Supply & Demand Zones into a unified, configurable framework.
Unlike many public indicators that simply "overlay concepts", this indicator implements strict internal validation to filter out noise and provide only institutional-grade levels — making it a valuable execution layer for SMC-based strategies.
🧠 What the Script Does – and Why the Combination Matters
This is more than just a combination of known SMC tools — it's a complete workflow assistant:
-FVGs highlight where liquidity is likely resting due to institutional imbalance.
-BOS & CHoCH define structural context: whether the market is trending or shifting.
-Supply & Demand Zones show where institutions are likely to react.
-Each component works together to create a layered confluence system:
-FVG inside a Demand Zone after a Bullish CHoCH → High-probability Long Setup
-Bearish BOS into a Supply Zone + fresh Bearish FVG → High-probability Short Setup
📘 Core Concepts Explained
Fair Value Gap (FVG)
FVGs occur when price moves with strong momentum and leaves a gap between candles — suggesting inefficiency. Bullish FVGs lie below price; bearish ones above. Price often returns to these levels before continuing.
An FVG is detected when a three-candle sequence reveals a price imbalance:
- Bullish : Candle 2’s low is higher than Candle 1’s high
- Bearish : Candle 2’s high is lower than Candle 1’s low
These setups indicate a sudden burst of institutional momentum, often causing price to revisit the gap for rebalancing.
Break of Structure (BOS)
A BOS signals trend continuation when price breaks the previous swing high or low in the direction of the current trend.
The script uses a 3-bar pivot system to detect local swing highs and lows — a swing high forms when the highest candle is flanked by two lower highs on each side (and vice versa for swing lows).
A BOS is confirmed when price closes beyond the most recent swing point in alignment with the current trend direction.
Change of Character (CHoCH)
A CHoCH signals a potential trend reversal by breaking a structure level in the opposite direction of the prevailing trend.
It is detected when price breaks the most recent opposing swing and simultaneously flips the internal trend state.
CHoCH events always take precedence over BOS to avoid conflicting signals.
The internal trend engine ensures that these structural shifts are valid and not caused by random volatility.
Supply & Demand Zones
These zones mark institutional interest and are formed using precise price action rules — not arbitrary support/resistance.
A valid zone begins when a small-bodied base candle (such as a star or doji) appears at a local swing point. This candle must be followed by a strong impulse candle — either a bullish engulfing (for demand) or bearish breakout (for supply).
- Demand Zone : From the base candle's low to the impulse candle's high
- Supply Zone : From the base candle's high to the impulse candle's low
These zones represent likely institutional entries or exits, often acting as magnets or rejection areas. Once price decisively breaks through a zone, it is automatically removed — keeping the chart clean and relevant.
Zone Detection Logic – When a Zone Is Drawn or Skipped
Below are the precise rules used to determine whether a Supply or Demand Zone is valid and shown on the chart
A Supply or Demand Zone is only drawn if all of the following conditions are met:
-A small-bodied base candle forms at a local high or low (body size below threshold)
-The base candle is followed by a strong impulse candle (engulfing or breakout)
-The impulse direction matches the expected context (e.g., bearish impulse from swing high = Supply)
-The candle wicks do not invalidate the structure (e.g., no long opposing wick that retraces the move)
-The zone meets the minimum size threshold based on % or ATR filter
If any of these criteria are not satisfied, the zone is skipped to avoid false or weak levels.
This ensures only clean, institutional-grade Supply & Demand Zones are shown on the chart.
(e.g. small-bodied star + bullish engulfing at swing low = Demand Zone, or bearish breakout at swing high = Supply Zone).
🔍 Core Functionality & Original Features
1. 📉 Fair Value Gaps (FVGs) – Dynamic, Validated, and Clean
Unlike scripts that draw every gap, this script applies strict quality control to ensure only meaningful FVGs appear:
Minimum Threshold Filtering
Filters out small or noisy gaps by requiring each FVG to exceed a % or ATR-based size threshold. Prevents micro-gap clutter on lower timeframes.
Momentum Candle Verification
Requires a strong middle candle (candle 2) between two extremes. Large opposing wicks invalidate the setup.
Partial Fill Adjustment
When price partially fills a gap, the FVG box automatically shrinks to show only the remaining imbalance. If fully filled, the box is removed.
Multi-Timeframe Overlays
View institutional gaps from 15m, 1H, 4H, or Daily overlaid onto any chart for top-down analysis and entry refinement.
2. 🧱 Structural Shifts – BOS & CHoCH
Structural logic is built around pivot detection with real-time trend state awareness:
Pivot Logic (Customizable Strength)
Local highs/lows are detected using pivot length (default: 3 bars left/right). Breaks are only confirmed if they align with the internal trend state.
BOS = Continuation
Breaks a swing in trend direction (e.g., HL → HH → BOS at previous HH)
CHoCH = Reversal
Breaks a structure against trend (e.g., HH → HL → break of HL = Bearish CHoCH)
Conflict Resolution
If both BOS and CHoCH could trigger, CHoCH takes priority. This avoids false positives and ensures a single, clear structure signal per swing.
Styling & Visibility
All structure lines and labels are customizable — colors, line style (solid/dashed), and which signals to display (BOS/CHoCH/both).
3. 🧠 Supply & Demand Zones – Smart Detection & Maintenance
These zones are generated using strict price action logic, not arbitrary support/resistance lines:
-Formation Conditions
-Small-bodied "base candle" at a local high/low
-Followed by an impulse candle (bullish/bearish engulfing or breakout)
-Zone Bounds
- Demand : From base candle low to impulse high
- Supply : From base candle high to impulse low
Automatic Cleanup
Once price decisively pierces a zone, it’s automatically removed from the chart. This keeps the display relevant and clutter-free.
Multi-Timeframe Zones
Toggle zones from your current timeframe or overlay from 1H, 4H, and Daily — ideal for confluence stacking.
Zone Compression Filtering
Optional compression % ensures overlapping zones are combined logically to reduce redundancy.
🧩 How It Works Together – Practical Usage Flow
This indicator is designed to follow a structured workflow used by institutional-style traders:
Trend Structure
Identify trend using BOS and CHoCH on your timeframe.
Liquidity Zones
Look for supply/demand zones aligning with the structural bias.
Execution Areas
Wait for an unfilled FVG in confluence with the above conditions.
📸 Screenshot Captions
Screenshot 1: CHoCH + Demand Zone + Bullish FVG
📌 Reversal Setup with Confluence
A Bullish CHoCH confirms a structural shift. Price enters a Demand Zone and reacts from an unfilled Bullish FVG, creating a high-probability long opportunity.
Screenshot 2: Bearish BOS + FVG Fill
📌 Trend Continuation Confirmation
Price breaks a swing low, triggering a Bearish BOS. A Bearish FVG forms and price returns to fill it before continuing lower — validating the trend and the gap.
Screenshot 3: Multi-Timeframe Overlay (FVGs from 1H and 4H)
📌 Top-Down Liquidity Mapping
Overlaid 1H and 4H FVGs provide institutional-level insight on lower timeframes. Combined with structure signals, this supports precise entry alignment across timeframes.
As price partially fills a bullish gap, the FVG box auto-adjusts to show only the remaining imbalance. Fully filled zones are automatically removed, keeping the chart clean.
Screenshot 4: Supply Zone Rejection
📌 Institutional Supply in Action
Price enters a Supply Zone formed from a base candle + bearish impulse. A sharp rejection confirms active sell-side interest at this level. Zone opgevuld box verdwijnt
Screenshot 5: Bullish BOS + Internal Trend Logic
📌 Trend Continuation with Structure Awareness
A Higher Low forms, followed by a Higher High, triggering a Bullish BOS. The internal trend engine confirms direction and filters false reversals.
Screenshot 6: Zone Compression Logic
📌 Smart Zone Consolidation
Closely overlapping supply zones are merged using compression logic to prevent clutter. Only the strongest institutional levels remain visible.
⚙ Full Customization Panel
You can configure:
-FVG display per timeframe + color scheme
-BOS/CHoCH styling, label text, and detection toggles
-Zone settings: visibility, compression %, length
-Auto-cleanup behavior for FVGs and zones
🔐 Why Invite-Only?
This indicator contains original logic not available in public indicators, including:
-Momentum-candle verified FVGs
-Real-time partial fill trimming
-Auto-removal of invalidated structure/zones
-Conflict-aware BOS/CHoCH logic
-Multi-timeframe overlays with internal state tracking
-Proprietary compression-based zone filtering
This script is part of a private paid offering. It is not based on reused or repackaged educational code. The logic and structure management are exclusive to this implementation.
⚠ Disclaimer
This tool is for educational and analytical use only. It does not provide financial advice or trading signals. Always use proper risk management and do your own due diligence.
Auto Trendlines (Finviz Style)Oculus Auto Trendlines
Version 1.0 | Pine Script v6
Overview
Oculus Auto Trendlines automatically identifies and plots the most significant support and resistance trendlines by connecting the two most recent swing highs (resistance) and swing lows (support) over a user-defined pivot lookback. Each line extends dynamically to the right, recalculates in real time, and self-invalidates when price decisively breaks beyond it by a configurable tolerance.
Key Features
Automatic Pivot Detection
Uses ta.pivothigh and ta.pivotlow over your chosen bar span to pinpoint significant market turning points.
Dynamic Trendline Drawing
Connects the last two valid pivots to form support and resistance lines that update and extend to the right each bar.
Break-Triggered Refresh
When price closes beyond a drawn trendline by more than the break tolerance, that line is removed and a new one is drawn from the next valid pivots.
Configurable Sensitivity
Pivot Lookback: Number of bars on each side to define swings.
Break Tolerance: Percentage buffer to prevent false invalidations on minor wicks.
Clean Overlay
Minimal code and plotting ensures your chart remains uncluttered—only one support and one resistance line are visible at any time.
How to Use
Add to Chart: Apply “Oculus Auto Trendlines” to any symbol and timeframe.
Set Inputs:
Pivot Lookback: Larger values produce smoother, longer-term lines; smaller values react faster to recent price.
Break Tolerance (%): Adjust to allow for minor wicks or noise without resetting lines.
Read Trendlines:
The red resistance line connects the two most recent swing highs.
The green support line connects the two most recent swing lows.
Lines automatically redraw when invalidated by a clean break beyond tolerance.
Combine with Other Analysis: Use these auto-drawn trendlines alongside indicators like moving averages, volume, or price patterns for stronger confluence.
Inputs
Pivot Lookback: 10 (bars each side)
Break Tolerance (%): 0.2%
Version History
1.0 – Initial release with real-time pivot detection, auto-updating trendlines, and break validation.
Disclaimer
This indicator is provided for educational purposes. Always backtest settings on historical data, verify trendline relevance, and apply proper risk management before trading live.
1 Candle SMT Divergence (Nephew_Sam_)📊 1 Candle SMT Divergence Detector
3-Way Smart Money Theory (SMT) Divergence Scanner for Multi-Symbol Analysis
This indicator identifies 1-candle SMT divergences by comparing one primary symbol against up to 2 correlation symbols across multiple timeframes simultaneously. Perfect for detecting institutional smart money moves and market inefficiencies.
🎯 Key Features:
3-Way Comparison: Compare 1 "From" symbol vs 2 "To" symbols (configurable)
5 Symbol Pairs: Pre-configure up to 5 different symbol combinations
Multi-Timeframe: Scan 5 timeframes simultaneously (Chart, 1H, 4H, Daily, Weekly)
Smart Filtering: Only displays timeframes equal to or higher than your chart
Real-Time Detection: Compares current vs previous candle highs/lows
Visual Alerts: Clean table display with color-coded divergence status
Line Drawing: Optional trend lines connecting divergence points
Replay Compatible: Works with TradingView's replay mode
📈 How It Works:
Detects when one symbol makes a higher high while correlated symbols make lower highs (and vice versa for lows). This creates SMT divergence signals that often precede significant market moves.
4-EMA Signals + MTF Analysis4-EMA Signals + MTF Analysis Indicator: User Guide
This indicator is designed for active traders; from scalpers / intra-day traders to swing-traders who simply want an easy to understand, simple, but yet comprehensive and easy-to-understand indicator with a quick overview of initial market momentum and overall market direction to assist the trader in their initial trading.
The main feature of this indicator is that It overlays four exponential moving averages (EMAs), and provides a dashboard of real-time trend signals for both buy and sell (long/short) scenarios.
Settings Overview
MA Period Setup
Custom: Set your own EMA periods.
Conservative, Aggressive, Fibonacci: Quickly apply preset EMA period combinations for different trading styles.
EMA Periods (Custom Setup)
Fast EMA: Shortest EMA, reacts quickly to price (default 7).
Medium-Short EMA: Intermediate speed (default 25).
Medium-Long EMA: Slower, filters out more noise (default 70).
Slow EMA: Longest-term trend (default 200).
(These settings can be adjusted to suit your individual needs)
Main Indicator Features
Four EMAs : Plotted in distinct colors (green, yellow, orange, red) for quick trend recognition - this can be altered in colour to your personal preferences.
Buy/Sell Signals : Triangles appear below/above bars when EMA crossovers occur, optionally filtered by volume - the volume filter when applied greatly reduces the influx of signals, only giving high-quality signals!
Trading Sessions + Backgrounds : A trading session feature has been added: (London, New York, Asia, Sydney) with the choice of a background to indicate each global trading session.
Volume Overlay : Volume bars and a blue volume moving average line for context.
Dashboard Table (Top Right):
Market Direction: Shows the overall EMA alignment (bullish, bearish, weak, consolidating).
The initial trend on the 5m, 15m, 1H, and 4H time-frame to give a quick snapshot of overall trend direction.
How to Use
Trend Identification :
-- Use the EMA alignment and dashboard table to quickly see if the market is bullish, bearish, or consolidating.
EMA Set-up
-- Adjust the EMA settings to your specific requirements, the signals will alter depending on the volatility of the instrument your trading.
Signal Confirmation :
-- ''Buy'' signals simply appear when the faster EMAs cross above slower EMAs in and ''Sell'' signals simply appear when they cross below.
Volume Context :
--Use the volume moving average and the optional volume filter to avoid signals during low-activity periods.
No Repainting :
-- All signals and dashboard readings are calculated using only confirmed, closed bars. What you see in real time is exactly what will appear in your back-test — no repainting or look-ahead bias.
Alerts / Notifications
Now for the fun part:
1. Enable Buy/Sell Signal Alerts: Get notifications when buy or sell signals occur.
2. For Alerts to function correctly, set the ''condition'' to the indicator itself.
3. Select ''EMA Bearish Cross'' or ''EMA Bullish Cross'' depending whether you want alerts for either buy/sell signals - Or one can simply set alerts for both scenarios.
4. For ''Interval'' set to ''Same as chart'' - So, the time-frame which you'd like to trade on.
5. For ''Trigger'' set to ''Once Per Bar Close''.
6. Save.
7. Wait for a signal to occur!
NOTE: Before placing a trade, it's often best to also assess the market conditions at that time also - and not rely solely on the signals, the signals are to assist, and it's often occurred a signal has shown, but a pull-back occurs, and a FVG in discount holds -- it's this FVG holding, accompanied by volume, that's the real entry, possibly.
Tip: For the cleanest results, use the indicator during the most active sessions and always check multi-time-frame trend alignment before entering trades. Good Luck! :)
CandelaCharts - Unicorn Model📝 Overview
The Unicorn Model is an advanced indicator that pinpoints high-probability reversal setups based on the ICT Unicorn formation. It uses a zigzag-based structure to detect engineered liquidity grabs followed by sharp displacements in the opposite direction—ideal for fade entries or the start of new trends.
The indicator is enhanced with macro time filters, allowing it to align model detections with key trading sessions and institutional flow windows.
The ICT Unicorn Model is a precision-driven intraday strategy rooted in smart money concepts. It combines time-of-day sensitivity, engineered liquidity runs, and institutional order flow to uncover high-quality trading opportunities.
📦 Features
Liquidity Levels: Projects forward-looking liquidity zones after a Unicorn model is confirmed, highlighting potential price targets. These zones act as magnet areas where price is likely to be drawn, helping traders manage exits, partials, and re-entries with greater precision.
Unicorn: The Unicorn formation utilizes a smart money framework and a dynamic zigzag detection method to identify engineered liquidity grabs—sharp sweeps of previous highs or lows—followed by impulsive reversals.
Macros: These time-based intervals represent key moments when institutional algorithms are most active, seeking liquidity, rebalancing, or delivering price to key levels like fair value gaps and liquidity pools.
Custom TF Pairing: Choose your preferred combination of entry timeframe and context timeframe. For example, trade 5m setups within a 1h HTF bias, allowing precise alignment of microstructure with broader directional intent.
HTF & LTF PD Arrays: Displays high- and low-timeframe PD Arrays (e.g., Fair Value Gaps, Inversion Fair Value Gaps) that act as zones of interest or rejection, enhancing confluence and risk control.
History: Backtest previous Unicorn setups directly on the chart. Toggle historical models to analyze past behavior, improve your confidence, and fine-tune your trade execution across varying market regimes.
Killzone Filter: Restrict signal generation to specific trading sessions or killzones (e.g., London Open, New York AM). This minimizes false positives in low-volume or overlapping ranges.
Standard Deviation: Dynamically calculates and plots four deviation bands from the model confirmation point. These levels offer insight into stretch targets, volatility bands, and potential mean-reversion zones.
Dashboard: A real-time control panel showing the active model, HTF candle timer, current directional bias, asset name, and session date—offering clarity and fast decision-making at a glance.
⚙️ Settings
Core
Status: Filter models based on status
Bias: Controls what model type will be displayed, bullish or bearish
Fractal: Controls the timeframe pairing that will be used
Length: Sets the maximum number of candles allowed for a model to develop
Labels: Display the model label (e.g., C1, C2, Cn)
Unicorn
Zigzag: Adjusts the length of the Zigzag formation
Breaker: Defines the style of Breaker Blocks
Sweeps
Sweep: Shows the sweep that forms a model
I-sweep: Controls the visibility of invalidated sweeps
D-purge: Plots the double purge sweeps
S-area: Highlights the sweep area
Liquidity
Liquidity: Displays the liquidity levels that belong to the model
History
History: Controls the number of past models displayed on the chart
Filters
Asia: Filter models based on Asia Killzone hours
London: Filter models based on London Killzone hours
NY AM: Filter models based on NY AM Killzone hours
NY Launch: Filter models based on NY Launch Killzone hours
NY PM: Filter models based on NY PM Killzone hours
Custom: Filter models based on user Custom hours
HTF
Candles: Controls the number of HTF candles that will be visible on the chart
NY Open: Display True Day Open line
Offset: Controls the distance of HTF from the current chart
Space: Controls the space between HTF candles
Size: Controls the size of HTF candles
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of the PD Array
LTF
H/L Line: Displays on the LTF chart the High and Low of each HTF candle
O/C Line: Displays on the LTF chart the Open and Close of each HTF candle
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of the PD Array
Standard Deviation
StDev: Controls standard deviation of available levels
Labels: Controls the size of standard deviation levels
Anchor: Controls the anchor point of standard deviation levels (wick, body)
Lines: Controls the line widths and color of standard deviation levels
Dashboard
Panel: Display information about the current model
💡 Framework
The Unicorn Model analyzes price action by combining key elements to identify high-probability trade setups. It detects liquidity sweeps and uses a zigzag method to spot Breaker Blocks. The model maps PD Arrays like Fair Value Gaps and Inversion FVGs for precision zones, integrates macro time filters for context, and projects forward price targets based on liquidity clusters. Together, these components provide a clear framework to anticipate market trends and optimize entries and exits.
The model incorporates the following timeframe pairing:
15s - 5m
1m - 15m
1m - 30m
2m - 20m
3m - 30m
3m - 60m
5m - 1H
15m - 4H
15m - 8H
30m - 9H
30m - 12H
1H - 1D
2H - 2D
3H - 3D
4H - 1W
8H - 2W
12H - 3W
1D - 1M
2D - 2M
1W - 3M
2W - 6M
3W - 9M
1M - 12M
Below are the key components that make up the model:
Sweep
D-purge
Zigzag (Breaker)
PD Arrays (FVG, IFVG)
Macros
Standard Deviation
Liquidity
The Unicorn Model operates through a defined lifecycle that tracks its current stage, helping to assess the validity of potential trade opportunities.
The model's lifecycle includes the following statuses:
Formation (grey)
Invalidation (red)
Success (green)
Through the phases of Formation, Invalidation, and Success, traders can effectively manage positions, minimize risk, and capitalize on the high-probability setups presented by the Unicorn Model.
⚡️ Showcase
The Unicorn Model is an advanced trading framework designed to elevate your market analysis and increase your trading edge. By leveraging smart money concepts and sophisticated pattern detection, it helps you spot key liquidity sweeps, reversal zones, and high-probability setups, enabling more precise entries, exits, and risk management tailored to market structure.
LTF PD Array
LTF PD Arrays are crucial to the Unicorn Model and must align with the Zigzag Breaker for the setup to be considered valid.
HTF PD Array
Higher-Timeframe PD Arrays deliver essential macro context, serving to validate both the direction and momentum of potential reversals.
Timeframe Alignment
Timeframe alignment is a fundamental element of the Unicorn trading model. By integrating multi-timeframe context, the model effectively identifies high-probability models.
Killzone Filters
Filter Unicorn Models according to key market sessions—Asia, London, New York AM, New York Launch, and New York PM—to target periods of high liquidity. This approach improves the accuracy and timing of trade setups by capturing moments when smart money is most active.
Macros
The Unicorn Model uses ICT Macro Times to identify key trading periods when institutional activity is most intense. By syncing setups with these critical windows, the model improves accuracy and provides better context for entries, risk management, and potential reversals.
Gain a trading advantage with the Unicorn Model — your essential tool for clearer insights, smarter decision-making, and more confident trade execution.
🚨 Alerts
This script provides alert options for all model types, which must be configured within TradingView.
Bearish Model
A bearish model alert is triggered when a model forms, signaling a 4 Zigzag points formation and a bearish Breaker.
Bullish Model
A bullish model alert is triggered when a model forms, signaling a 4 Zigzag points formation and a bullish Breaker.
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
M2 GLI SD BandsHighly customizable M2 Global Liquidity Index with adaptive standard deviation bands.
The SD bands incorporate data from M2 with varying lags to capture M2's full impact on the price of Bitcoin spread across multiple weeks.
EMAs are used for smoothing. Offset, smoothing, and other features are customizable.
Sesiuni Tranzactionare - Strategia TIThis indicator automatically draws vertical lines on the chart at the key trading session times in the Bucharest time zone (HOD/LOD, market open, NY Open, lunch break, and end of day). For each group of lines you can toggle their visibility with a checkbox and customize their color, style (solid, dotted, dashed), and thickness. You can also set the time-zone offset and choose whether the lines extend into the future so they stay visible beyond the current day.
RSI MSB | QuantMAC📊 RSI MSB | QuantMAC
🎯 Overview
The RSI MSB (Momentum Shifting Bands) represents a groundbreaking fusion of traditional RSI analysis with advanced momentum dynamics and adaptive volatility bands. This sophisticated indicator combines RSI smoothing , relative momentum calculations , and dynamic standard deviation bands to create a powerful oscillator that automatically adapts to changing market conditions, providing superior signal accuracy across different trading environments.
🔧 Key Features
Hybrid RSI-Momentum Engine : Proprietary combination of smoothed RSI with relative momentum analysis
Dynamic Adaptive Bands : Self-adjusting volatility bands that respond to indicator strength
Dual Trading Modes : Flexible Long/Short or Long/Cash strategies for different risk preferences
Advanced Performance Analytics : Comprehensive metrics including Sharpe, Sortino, and Omega ratios
Smart Visual System : Dynamic color coding with 9 professional color schemes
Precision Backtesting : Date range filtering with detailed historical performance analysis
Real-time Signal Generation : Clear entry/exit signals with customizable threshold sensitivity
Position Sizing Intelligence : Half Kelly criterion for optimal risk management
📈 How The MSB Technology Work
The Momentum Shifting Bands technology is built on a revolutionary approach that combines multiple signal sources into one cohesive system:
RSI Foundation : 💪
Calculate traditional RSI using customizable length and source
Apply exponential smoothing to reduce noise and false signals
Normalize values for consistent performance across different timeframes
Momentum Analysis Engine : ⚡
Compute fast and slow momentum using rate of change calculations
Calculate relative momentum by comparing fast vs slow momentum
Normalize momentum values to 0-100 scale for consistency
Apply smoothing to create stable momentum readings
Dynamic Combination : 🔄
The genius of MSB lies in its weighted combination of RSI and momentum signals. The momentum weight parameter allows traders to adjust the balance between RSI stability and momentum responsiveness, creating a hybrid indicator that captures both trend continuation and reversal signals.
Adaptive Band System : 🎯
Calculate dynamic standard deviation multiplier based on indicator strength
Generate upper and lower bands that expand during high volatility periods
Create normalized oscillator that scales between band boundaries
Provide visual reference for overbought/oversold conditions
⚙️ Comprehensive Parameter Control
RSI Settings : 📊
RSI Length: Controls the period for RSI calculation (default: 21)
Source: Price input selection (close, open, high, low, etc.)
RSI Smoothing: Reduces noise in RSI calculations (default: 20)
Momentum Settings : 🔥
Fast Momentum Length: Short-term momentum period (default: 19)
Slow Momentum Length: Long-term momentum period (default: 21)
Momentum Weight: Balance between RSI and momentum (default: 0.6)
Oscillator Settings : ⚙️
Base Length: Foundation moving average for band calculations (default: 40)
Standard Deviation Length: Period for volatility measurement (default: 53)
SD Multiplier: Base band width adjustment (default: 0.7)
Oscillator Multiplier: Scaling factor for oscillator values (default: 100)
Signal Thresholds : 🎯
Long Threshold: Bullish signal trigger level (default: 93)
Short Threshold: Bearish signal trigger level (default: 53)
🎨 Advanced Visual System
Main Chart Elements : 📈
Dynamic Shifting Bands: Upper and lower bands with intelligent transparency
Adaptive Fill Zone: Color-coded area between bands showing current market state
Basis Line: Moving average foundation displayed as subtle reference points
Smart Bar Coloring: Candles change color based on oscillator state for instant visual feedback
Oscillator Pane : 📊
Normalized MSB Oscillator: Main signal line with dynamic coloring based on market state
Threshold Lines: Horizontal reference lines for entry/exit levels
Zero Line: Central reference for oscillator neutrality
Color State Indication: Line colors change based on bullish/bearish conditions
📊 Professional Performance Metrics
The built-in analytics suite provides institutional-grade performance measurement:
Net Profit % : Total strategy return percentage
Maximum Drawdown % : Worst peak-to-trough decline
Win Rate % : Percentage of profitable trades
Profit Factor : Ratio of gross profits to gross losses
Sharpe Ratio : Risk-adjusted return measurement
Sortino Ratio : Downside-focused risk adjustment
Omega Ratio : Probability-weighted performance ratio
Half Kelly % : Optimal position sizing recommendation
Total Trades : Complete transaction count
🎯 Strategic Trading Applications
Long/Short Mode : ⚡
Maximizes profit potential by capturing both upward and downward price movements. The MSB technology helps identify when momentum is building in either direction, allowing for optimal position switches between long and short positions.
Long/Cash Mode : 🛡️
Conservative approach ideal for retirement accounts or risk-averse traders. The indicator's adaptive nature helps identify the best times to be invested versus sitting in cash, protecting capital during adverse market conditions.
🚀 Unique Advantages
Traditional Indicators vs RSI MSB :
Static vs Dynamic: While most indicators use fixed parameters, MSB bands adapt based on indicator strength
Single Signal vs Multi-Signal: Combines RSI reliability with momentum responsiveness
Lagging vs Balanced: Optimized balance between signal speed and accuracy
Simple vs Intelligent: Advanced momentum analysis provides superior market insight
💡 Professional Setup Guide
For Day Trading (Short-term) : 📱
RSI Length: 14-18
RSI Smoothing: 12-15
Momentum Weight: 0.7-0.8
Thresholds: Long 90, Short 55
For Swing Trading (Medium-term) : 📊
RSI Length: 21-25 (default range)
RSI Smoothing: 18-22
Momentum Weight: 0.5-0.7
Thresholds: Long 93, Short 53 (defaults)
For Position Trading (Long-term) : 📈
RSI Length: 25-30
RSI Smoothing: 25-30
Momentum Weight: 0.4-0.6
Thresholds: Long 95, Short 50
🧠 Advanced Trading Techniques
MSB Divergence Analysis : 🔍
Watch for divergences between price action and MSB readings. When price makes new highs/lows but the oscillator doesn't confirm, it often signals upcoming reversals or momentum shifts.
Band Width Interpretation : 📏
Expanding Bands: Increasing volatility, expect larger price moves
Contracting Bands: Decreasing volatility, prepare for potential breakouts
Band Touches: Price touching outer bands often signals reversal opportunities
Multi-Timeframe Analysis : ⏰
Use MSB on higher timeframes for trend direction and lower timeframes for precise entry timing. The momentum component makes it particularly effective for timing entries within established trends.
⚠️ Important Risk Disclaimers
Critical Risk Factors :
Market Conditions: No indicator performs equally well in all market environments
Backtesting Limitations: Historical performance may not reflect future market behavior
Parameter Sensitivity: Different settings may produce significantly different results
Volatility Risk: Momentum-based indicators can be sensitive to extreme market conditions
Capital Risk: Always use appropriate position sizing and stop-loss protection
📚 Educational Benefits
This indicator provides exceptional learning opportunities for understanding:
Advanced RSI analysis and momentum integration techniques
Adaptive indicator design and dynamic band calculations
The relationship between momentum shifts and price movements
Professional risk management using Kelly Criterion principles
Modern oscillator interpretation and multi-signal analysis
🔍 Market Applications
The RSI MSB works effectively across various markets:
Forex : Excellent for currency pair momentum analysis
Stocks : Individual equity and index trading with momentum confirmation
Commodities : Adaptive to commodity market momentum cycles
Cryptocurrencies : Handles extreme volatility with momentum filtering
Futures : Professional derivatives trading applications
🔧 Technical Innovation
The RSI MSB represents advanced research into multi-signal technical analysis. The proprietary momentum-RSI combination has been optimized for:
Computational Efficiency : Fast calculation even on high-frequency data
Signal Clarity : Clear, actionable trading signals with reduced noise
Market Adaptability : Automatic adjustment to changing momentum conditions
Parameter Flexibility : Wide range of customization options for different trading styles
🔔 Updates and Evolution
The RSI MSB | QuantMAC continues to evolve with regular updates incorporating the latest research in momentum-based technical analysis. The comprehensive parameter set allows for extensive customization and optimization across different market conditions.
Past Performance Disclaimer : Past performance results shown by this indicator are hypothetical and not indicative of future results. Market conditions change continuously, and no trading system or methodology can guarantee profits or prevent losses. Historical backtesting may not reflect actual trading conditions including market liquidity, slippage, and fees that would affect real trading results.
Master The Markets With Multi-Signal Intelligence! 🎯📈
Weekly Standard Deviations (NQ1!/VXN / ES1!/VIX)Weekly Standard Deviations (NQ1!/VXN or ES1!/VIX) – Settlement-Based with Robust Volatility Calculation
This indicator displays weekly standard deviation bands for US index futures (NQ1!, ES1!, MNQ1!, MES1!) using a professional approach:
Weekly Settlement as Basis:
The center line ("Mid") is based on the official weekly settlement price of the selected future (using settlement feeds, not just the last traded price). This ensures high accuracy for institutional and systematic trading.
Volatility by VIX/VXN, Friday 5-Minute Close (CET):
The volatility input (σ) is dynamically derived from the VIX or VXN. Specifically, the indicator uses the last available 5-minute close on Friday after 22:00 CET (Central European Time) each week. If there is no data at exactly 22:10 or 22:05 (e.g. shortened sessions or holidays), it falls back to the latest available 5-minute close of that Friday, ensuring reliable calculation in all market conditions.
Standard Deviation Bands:
The ±1σ, ±2σ, and ±3σ bands are calculated from the weekly settlement price and the robust volatility value. These bands are widely used by professionals for mean reversion, volatility trading, and risk management.
Dynamic Holiday Logic:
Includes dynamic holiday calculation for major US market holidays (can be expanded for other regions). This helps to keep calculations consistent even in holiday weeks.
Labels & Visuals:
Each standard deviation level and the center are labeled for easy orientation. All lines are automatically updated at the start of each new week.
Recommended for:
Advanced traders, systematic/quant traders, and anyone who wants an institutional-grade approach to weekly volatility structure in US index futures.
How to Use:
Add to a chart of NQ1!, MNQ1!, ES1!, or MES1! (futures continuous contracts).
Choose your preferred symbol pair (NQ1!/VXN or ES1!/VIX) in the indicator settings.
All calculations and band updates are fully automatic.
This script is for educational and informational purposes only and should not be considered financial advice or a recommendation to buy or sell any security or derivative. Trading futures and derivatives involves substantial risk and is not suitable for every investor. The author of this script accepts no liability for any loss or damage arising from the use of this tool. Always do your own research and consult with a professional financial advisor before making investment decisions.
Gabriel's Squeeze Momentum PRO📌 Gabriel’s Squeeze Momentum PRO
A full-spectrum market compression, momentum, and seasonality suite engineered for cycle-aware traders.
🚀 What Is It?
Gabriel’s Squeeze Momentum PRO is an advanced trading indicator that detects volatility compression, calculates adaptive momentum, and reveals hidden seasonal opportunities. It builds on and transcends the traditional SQZMOM by incorporating spectral filters (Ehlers/MESA), Goertzel transforms, Pivot reversal logic, and optional seasonality overlays based on rolling-year returns. The script adapts to all timeframes and asset classes—stocks, futures, crypto, and forex.
🔍 Key Modules
🔸 1. Dynamic Squeeze Detection (RAFA Framework)
Identifies 5 squeeze types: Wide (🟠), Normal (🔴), Narrow (🟡), Very Narrow (🟣), and Fired (🟢).
Uses adaptive Bollinger Band and Keltner Channel thresholds unique to each timeframe (15m to 1M).
BB multiplier is adjusted dynamically via Goertzel and RMS-volatility signals.
Comes with RAFA alerts: Ready (compression), Aim (Jurik trigger), and Fire (breakout).
🔸 2. Adaptive Momentum Engine
Core momentum line: Linear regression of mid-price deviation from SMA + highest/lowest mean.
Signal line: Jurik Moving Average (JMA) with adaptive phasing and power smoothing.
Multiple normalization modes:
Unbounded (raw)
Min-Max (0–100)
RSX-based (centered -50 * 2)
Standard Deviations (via Butterworth/EMA RMS)
Optional Directional Momentum Mode: highlights histogram slope/angle with four-tier color coding.
🔸 3. MESA-Based Dynamic Bands
Calculates dominant fast and slow cycles via Maximum Entropy Spectral Analysis.
Computes a composite cyclic memory and percentile-based overbought/oversold levels.
Enables dynamic OS/OB bands that adjust with the market rhythm.
🔸 4. Multi-Timeframe MA Ribbon
Fully customizable ribbon with 5 MA slots per timeframe.
Supports 10 MA types: SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, LSMA, KAMA, TRAMA.
Includes Symmetrical MA smoothing via ta.swma() for visual consistency across volatile markets.
Optional trend coloring and ribbon overlays.
🔸 5. Goertzel + RMS-Filtered ROC
Rate of change line for momentum differentials with scaling multiplier.
Option to use Goertzel frequency detection to dynamically adjust the adaptive length.
📈 Additional Features
🔹 Williams VIX Fix Integration
Includes both standard and Inverse WVF for top/bottom detection.
Highlights both Aggressive (AE) and Filtered (FE) entry/exit zones.
Alerts and optional OBV-based squeeze dots included.
Useful for spotting reversals, early volatility expansions, and sentiment shifts.
🔹 Grab Bar System
Inspired by Michael Covel's trend-following logic.
Colors bars based on EMA(34) or RMA(28) channels to visually identify entry zones.
Overlayed trend direction markers on bar close.
🔹 Reversal Signal Lines
Plots DM-style pivot projections on momentum crossovers with configurable MA length.
Color-coded bullish and bearish setups.
🧠 Seasonality Toolkit (Seasonax Mode)
📅 Year-Based Return Modeling
Aggregates historical price returns per calendar year.
Supports 4 independent lookback periods (e.g., 5y, 10y, 15y, 30y).
Automatically filters outliers via IQR method (customizable factor setting).
📉 Detrending Options
Choose from:
Off: Raw seasonal trend
Linear: Removes regression slope
MA: Removes centered moving average
🎯 Entry/Exit Highlights
Highlights the most bullish/bearish seasonal windows using rolling return ranges.
Labels best seasonal entry and exit points on the chart.
🧰 Visual Grid & Legend
Clean grid overlay with monthly divisions.
Inline legend with custom line styles, sizes, and colors for each year set.
⚙️ Customization Highlights
Feature Options / Notes
Normalization Unbounded, Min-Max, RSX, Standard Deviation
MA Ribbon Enable/disable, Symmetry smoothing, full color & type customization
Momentum Direction Mode Directional histogram vs. baseline coloring
Reversal Logic Toggle per timeframe with custom JMA length
Cauchy Smoothing Gamma adjustable (0.1–6), optionally volume-weighted
Goertzel Filtering For adaptive momentum length and rate of change signal scaling
Timeframe Logic Fully adapts thresholds, lengths, and styles based on current chart timeframe
Seasonality Mode Custom lookbacks, overlays, trend removal, best/worst windows
📊 Alerts Included
🔔 Momentum Crossovers: Bullish/Bearish Reversals
🔔 Squeeze States: Wide, Normal, Narrow, Very Narrow, and Fired
🔔 WVF Events: Raw, Aggressive, Filtered, Inverted (Top Detection)
🔔 New Month + EOM Warnings: Seasonality-aware shift alerts
✅ Use Cases
Use Case How It Helps
🔹 Squeeze Breakout Trader Detects compression zones and high-probability breakouts
🔹 Cycle-Based Swing Trader Uses MESA filters + band dynamics to time pullbacks and mean reversion
🔹 Volatility Strategist Tracks multi-tier squeeze states across intraday to monthly charts
🔹 Seasonal Analyst Highlights best/worst periods using historical seasonality and anomaly logic
🔹 Reversal Sniper Uses signal cross + DM-pivots for precise reversal line placement
🎓 Advanced Math Behind It
Spectral Analysis: MESA (John Ehlers), Goertzel Transform
High/Low-Pass Filtering: 2-pole Butterworth + Super Smoother
Momentum Deviation: Linear regression + SMA + Cauchy-weighted midlines
Cyclic Band Percentiles: Rolling histograms, percentile mapping
Seasonal Aggregation: Rolling years + IQR outlier pruning
Volatility Proxy: RMS + adaptive deviation = signal-agnostic band precision
Opening Range + Full-Day High/Low + Prev Day LevelsDraws a box around the first 15min range with horizontal lines extending throughout the day, with faded lines of the previous day's highs and lows, also draws arrows for 5m breakouts of those levels
TBL Session Highs&LowsBL Session Highs&Lows is a versatile intraday tool that highlights key price levels within up to 11 configurable trading sessions. It displays session highs, lows, and optional open levels, with customizable lines, labels, and boxes — perfect for tracking price behavior across sessions like Asia, London, and New York.
🔧 Key Features
🧩 Up to 11 fully customizable sessions
📍 High, Low, and Open lines with adjustable color, style, and width
🧱 Optional boxes showing session range, dynamically colored based on price movement
🏷️ Session labels for visual orientation
🔁 Extendable lines to project levels beyond the session
🌐 Custom time zone support for each session
🎨 Fully customizable visuals for clear chart integration
📈 Designed for:
Intraday session tracking (e.g., Asia, London, NY)
Session-based strategies (breakouts, reversals, liquidity zones)
Open-level reference (e.g., NY open)
Visual separation of trading periods
Example Scenarios:
🟦 "Asia" session: 18:00–00:00 GMT-4 with full box and lines
🟩 "London" session: 00:00–06:00 with high/low lines only
🟥 Segmented NY sessions (Q1–Q4) for fine-grained intraday tracking
✅ Tip: Enable only the sessions you need to keep your chart clean and focused.
TBL HTF Highs&LowsThis script plots the previous Daily, Weekly, and Monthly High and Low levels directly on your chart, helping you identify key higher-timeframe support and resistance zones.
Features:
Daily, Weekly, Monthly Lines: Toggle visibility for each timeframe's high/low levels.
Customization Options:
Choose color, style (Solid, Dashed, Dotted), width, and transparency for each line type.
Automatic Updates: Lines update at the start of each new session (day, week, or month).
Summary Table: Displays the latest Pre-Daily High/Low (PDH/PDL), Pre-Weekly High/Low (PWH/PWL), and Pre-Monthly High/Low (PMH/PML) in the top-right corner of the chart.
Configurable Table Font Size: Choose between Tiny, Small, Medium, or Large text.
Use Case:
Ideal for traders who rely on key higher-timeframe levels for confluence, breakout trading, or mean-reversion strategies. The visual lines and summary table provide instant context without cluttering your chart.
Multi-Timeframe 20 EMA Horizontal LinesOverview
This Multi-Timeframe 20 EMA indicator provides intelligent trend analysis by displaying your current timeframe EMA alongside relevant higher timeframe EMA levels as horizontal support/resistance lines. On lower timeframes, you see all higher EMA levels for comprehensive multi-timeframe confluence, while on higher timeframes, it filters out lower timeframe noise to maintain focus on macro trends. This allows traders to align short-term entries with long-term market structure, identifying high-probability setups where multiple timeframe EMAs converge while using the current timeframe EMA for precise timing.
Feature
Multi-Timeframe Horizontal EMA Lines
The indicator fetches and displays 20 EMAs from five higher timeframes:
Daily (D): Daily 20 EMA
Weekly (W): Weekly 20 EMA
Monthly (M): Monthly 20 EMA
Quarterly (Q): 3-Month 20 EMA
Half-Yearly (HY): 6-Month 20 EMA
Intelligent Timeframe Filtering
Smart Display Logic: Only shows EMAs from timeframes higher than your current chart timeframe
Prevents Redundancy: Automatically filters out lower timeframe EMAs to avoid clutter
Example: On a 4-hour chart, you'll see Daily, Weekly, Monthly, Quarterly, and Half-Yearly EMAs, but on a Weekly chart, you'll only see Weekly and higher timeframes
Half-Yearly (HY): 6-Month 20 EMA
Shows only current timeframe EMA with half-yearly horizontal line, filtering out all lower timeframes.
Quarterly (Q): 3-Month 20 EMA
Displays current timeframe EMA with quarterly and higher horizontal lines, hiding monthly, weekly, and daily EMAs.
Monthly (M): Monthly 20 EMA
Shows current timeframe EMA with monthly and higher horizontal EMAs, excluding weekly and daily timeframes.
Weekly (W): Weekly 20 EMA
Displays current timeframe EMA with weekly and higher horizontal EMA lines, filtering out daily timeframe.
Daily (D):
Shows current timeframe EMA with all higher timeframe horizontal EMAs (daily, weekly, monthly, quarterly, half-yearly).
Note: Make sure to enable Price-Line in Style Settings after Importing Script.
Liquidity Engulfing (Nephew_Sam_)🔥 Liquidity Engulfing Multi-Timeframe Detector
This indicator finds engulfing bars which have swept liquidity from its previous candle. You can use it across 6 timeframes with fibonacci entries.
⚡ Key Features
6 Customizable Timeframes - Complete market structure analysis
Smart Liquidity Detection - Finds patterns that sweep liquidity then reverse
Real-Time Status Table - Confirmed vs unconfirmed patterns with color coding
Fibonacci Integration - 5 customizable fib levels for precise entries
HTF → LTF Strategy - Spot reversals on higher timeframes, enter on lower timeframe fibs
📈 Engulfing Rules
Bullish: Current candle bullish + previous bearish + current low < previous low + current close > previous open
Bearish: Current candle bearish + previous bullish + current high > previous high + current close < previous open
Mavericks ORBMavericks ORB – Opening Range Breakout Zones
Overview:
Mavericks ORB is a fully customizable Opening Range Breakout (ORB) indicator designed for serious intraday traders. It dynamically plots the ORB range for your chosen session and timeframe (5 min, 15 min, or any custom range), projects powerful price zones above and below the range, and automatically includes key midpoints—giving you actionable levels for breakouts, reversals, and dynamic support/resistance.
How It Works:
Configurable Session & Duration:
Choose any session start time and range length (e.g., 5 or 15 minutes) to define your personal ORB window.
Automatic Range Detection:
The indicator marks the high, low, and midpoint of the ORB range as soon as your defined period completes.
Dynamic Zones & Midpoints:
Three replicated price zones are projected both above and below the initial ORB, each calculated using the original ORB’s range and evenly spaced. Each zone includes its own midpoint for nuanced trade management and target planning.
Pre-Market Levels:
Tracks pre-market high and low (with fully customizable colors), giving you crucial context as the regular session opens.
Session Range Visualization:
Highlights the defined trading session with an adjustable background color for easy visual tracking.
Real-Time Info Table:
Displays a summary of all key levels—ORB range, highs, lows, and pre-market levels—right on your chart.
Full Customization:
Adjust all colors, enable/disable session range shading, show/hide labels, and tweak all session settings to fit your trading style.
Key Features:
Select any ORB start time and duration (fully customizable)
Plots ORB High, Low, and Midpoint in real time
Automatically projects 3 zones above and 3 zones below, each with its own midpoint
Pre-market high/low detection and labeling
Configurable session shading for visual clarity
At-a-glance info table with all major levels
Multiple color customizations for all zones and lines
Ready-to-use alert conditions for session and pre-market events
How to Use:
Set your preferred ORB start time and duration (e.g., 9:30 AM, 5 min for US equities).
Watch as the ORB forms and updates in real time.
Once complete, the high, low, and midpoint are plotted.
Monitor the projected zones above and below.
Use these for breakouts, targets, or support/resistance.
Reference the info table for all levels and pre-market context.
Customize as you go: Adjust colors, shading, and session settings to your needs.
Who is this for?
Intraday traders who trade the opening range breakout strategy (stocks, futures, forex, crypto)
Price action traders who want clean, actionable levels
Anyone looking for a reliable, highly visual ORB framework on TradingView
Short Description (for TradingView):
Mavericks ORB is a customizable Opening Range Breakout indicator that plots your session’s high, low, midpoint, and projects three dynamic zones above and below the range including midpoints for powerful trade planning. Includes pre-market levels, session highlights, and a real-time info table. Perfect for intraday price action traders.
What Makes Mavericks ORB Unique?
Flexible: Works with any timeframe or session.
Visual: Clean, uncluttered, and fully customizable.
Strategic: Automatic zone and midpoint projection, not just lines.
Practical: At-a-glance info table and real pre-market context.
Alert-ready: Triggers for session and pre-market events.
If you want to include any tips or a personal note (some script publishers do), you could add:
Tip: Use the midpoints for partial profit-taking or to gauge momentum strength. Adjust your ORB window for different asset classes or volatility environments.
Oculus Session LevelsOculus Session Levels
The Oculus Session Levels indicator is designed to help traders track key price levels during important market sessions: Pre-Market, Futures, and the New York Open. By marking these levels on your chart, it provides clear reference points for potential price action and breakout opportunities as the market progresses through its various phases.
Key Features:
Pre-Market High & Low: The indicator calculates and displays the highest and lowest prices during the pre-market session (from 4:00 AM to 9:30 AM EST). These levels are important for gauging potential support or resistance when the market opens.
Futures First Hour High & Low: It tracks the first hour of futures trading (from 6:00 PM to 7:00 PM EST), marking the high and low levels that can serve as important reference points for the following trading day.
New York Open High & Low: The indicator also tracks the high and low during the first hour of the New York market open (from 9:30 AM to 10:30 AM EST), providing critical levels that traders use to identify trends or reversals in the early stages of the trading day.
How to Use:
Pre-Market High & Low:
These levels are calculated before the regular market opens. Price movements near these levels after the market opens may indicate potential breakout or reversal zones.
Futures High & Low:
These levels track the overnight futures session. The price range within this session can provide insight into how the market might behave during regular trading hours.
NY Open High & Low:
The first hour of the New York session is critical for establishing market direction. Prices near these levels can signify the start of a strong trend or possible pullback.
Visual Representation:
Pre-Market High & Low: Plotted in blue.
Futures High & Low: Plotted in orange.
NY Open High & Low: Plotted in green.
These levels are updated daily, providing fresh insights based on the latest market data. The Oculus Session Levels indicator gives traders a simple but powerful tool for understanding market context and planning their trades more effectively.
Mariam Market DashboardMariam Market Dashboard – A Quick Guide
Purpose:
Shows if the market is trending, volatile, or stuck so you can decide when to trade or wait.
How to Use
Add the indicator to your chart. Adjust basic settings like EMA, RSI, ATR lengths, and timezone if needed. Use it before entering any trade to confirm market conditions.
What Each Metric Means (with general ranges)
Session: Identifies which market session is active (New York, London, Tokyo).
Trend: Shows current market direction. “Up” means price above EMA and VWAP, “Down” means price below. Use this to confirm bullish or bearish bias.
HTF Trend: Confirms trend on a higher timeframe for stronger signals.
ATR (Average True Range): Measures market volatility or price movement speed.
Low ATR (e.g., below 0.5% of price) means quiet or slow market; high ATR (above 1% of price) means volatile or fast-moving market, good for active trades.
Strong Bar: A candlestick closing near its high (above 75% of range) indicates strong buying momentum; closing near its low indicates strong selling momentum.
Higher Volume: Volume higher than average (typically 10-20% above normal) means more market activity and stronger moves.
Volume / Avg Volume: Ratio above 1.2 (120%) shows volume is significantly higher than usual, signaling strong interest.
RVol % (Relative Volume %): Above 100% means volume is hotter than normal, increasing chances of strong moves; below 50% means low activity and possible indecision.
Delta: Difference between buying and selling volume (if available). A positive delta means buyers dominate; negative means sellers dominate.
ADX (Average Directional Index): Measures trend strength:
Below 20 means weak or no trend;
Above 25 means strong trend;
Between 20-25 is moderate trend.
RSI (Relative Strength Index): Momentum oscillator:
Below 30 = oversold (potential buy);
Above 70 = overbought (potential sell);
Between 40-60 means neutral momentum.
MACD: Confirms momentum direction:
Positive MACD histogram bars indicate bullish momentum;
Negative bars indicate bearish momentum.
Choppiness Index: Measures how much the market is ranging versus trending:
Above 60 = very choppy/sideways market;
Below 40 = trending market.
Consolidation: When true, price is stuck in a narrow range, signaling indecision. Avoid breakout trades during this.
Quick Trading Reminder
Trade only when the trend is clear and volume is above average. Avoid trading in low volume or choppy markets.
Ichimoku Multi-Timeframe Status[nakano]### Ichimoku Multi-Timeframe Status
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#### Overview
This indicator is a sophisticated multi-timeframe analysis tool specializing in the "Sanyaku Kouten" (Three Bullish Signals) and "Sanyaku Gyakuten" (Three Bearish Signals) of the Ichimoku Kinko Hyo.
The status panel, displayed in the bottom-right corner of the screen, allows you to simultaneously monitor the Ichimoku conditions across up to eight different timeframes. This enables you to grasp the trend direction from short-term to long-term at a glance and helps you not to miss entry opportunities.
Through extensive trial, error, and debugging, the signal determination logic has been crafted to achieve a high degree of precision.
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#### Key Features
1. **Multi-Timeframe Status Panel**
* **Monitor Multiple Timeframes at Once**: Displays the status of up to seven different timeframes (defaulting to 1m, 5m, 15m, 1h, 4h, 1D, and 1W) in a single list, in addition to the current chart's timeframe.
* **Detailed Status Display**: For each timeframe, it clearly displays whether the "Tenkan-sen," "Kumo (Cloud)," and "Chikou Span" components are in a "Bullish," "Bearish," or "— (Neutral)" state, color-coded for intuitive understanding.
* **Overall Judgment**: It comprehensively evaluates the state of each component to display a final signal of "Sanyaku Kouten" or "Sanyaku Gyakuten" in the panel.
2. **High-Precision Signal Logic**
* **Cloud Breakout**: Adopts a stricter logic, judging "Bullish" or "Bearish" breakouts only when the **real body** of the candlestick has completely broken out of the Kumo, not just the wicks.
* **Lagging Span (Chikou Span)**: Determines if the Chikou Span has clearly broken above/below the **real body** of the past candlestick. By consistently comparing it to the top/bottom of the real body, regardless of whether the candle is bullish or bearish, it captures more accurate signals.
* **Display Accuracy**: The common one-period display lag seen in many Ichimoku indicators for the Chikou Span and Kumo has been precisely corrected in both calculation and plotting.
3. **Alert Functionality**
* You can create TradingView alerts that trigger the moment a "Sanyaku Kouten" or "Sanyaku Gyakuten" is confirmed on the current timeframe. This allows you to receive notifications of opportunities without being tied to your chart.
4. **High Customizability**
* **Toggle Displays**: The status panel and the "Bullish"/"Bearish" labels on the chart can be easily toggled on or off from the settings menu. (Signal labels are off by default).
* **Complete Color Settings**: You can freely set the colors for all plotted elements, including the Tenkan-sen, Kijun-sen, Chikou Span, Kumo border lines, and Kumo background (for up and down clouds), allowing you to match your personal chart theme.
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#### How to Use
1. **Add the indicator to your chart.**
2. **Open the settings menu.**
* **Display Settings**: Toggle the visibility of the on-chart signal labels and the status panel.
* **Timeframe Settings**: Freely configure up to seven timeframes you wish to monitor in the status panel.
* **Ichimoku Parameters**: Adjust the periods for the Tenkan-sen, Kijun-sen, etc., to fit your analysis.
* **Line Color Settings**: Customize the colors of the Ichimoku lines and the Kumo to your preference.
3. **Setting Up Alerts**
* Open the TradingView alert creation dialog.
* For "Condition," select this indicator (`Ichimoku Multi-Timeframe Status `).
* Choose either the "Sanyaku Kouten" or "Sanyaku Gyakuten" alert condition and configure your notification settings.
I hope this tool serves as a valuable aid in your market analysis and trading.
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### Ichimoku Multi-Timeframe Status
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#### 概要
このインジケーターは、一目均衡表の「三役好転・三役逆転」に特化した高機能なマルチタイムフレーム分析ツールです。
画面の右下に表示されるステータスパネルにより、最大8つの異なる時間足における一目均衡表の状況を同時に監視できます。これにより、短期から長期までのトレンドの方向性を一目で把握し、エントリーチャンスを逃しません。
多くの試行錯誤とデバッグを経て、シグナル判定のロジックは高い精度を持つように作り込まれています。
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#### 主な機能
1. **マルチタイムフレーム・ステータスパネル**
* **複数時間足の一括監視**: 現在のチャートの足に加えて、最大7つの異なる時間足（デフォルトでは1分、5分、15分、1時間、4時間、日足、週足）の状況を一覧表示します。
* **詳細な状態表示**: 各時間足について、「転換線」「雲」「遅行スパン」の各要素が「好転」「逆転」「−（どちらでもない）」のいずれの状態にあるかを色付きで分かりやすく表示します。
* **総合判断**: 各要素の状態を総合的に判断し、最終的なシグナルとして「三役好転」または「三役逆転」をパネルに表示します。
2. **精度の高いシグナル判定ロジック**
* **雲抜け**: ローソク足のヒゲではなく、**実体が完全に雲を抜けた**場合のみ「好転」「逆転」と判定する、より厳密なロジックを採用しています。
* **遅行スパン**: 遅行スパンが、過去のローソク足の**実体**を明確に上抜け／下抜けしたかを判定します。陰線・陽線に関わらず、常に実体の上限／下限と比較するため、より正確なシグナルを捉えます。
* **表示の正確性**: 多くのインジケーターで見られる遅行スパンや雲の1期間の表示ズレを、計算と描画の両面で正確に補正しています。
3. **アラート機能**
* 現在のチャートの時間足で「三役好転」または「三役逆転」が成立した瞬間に、TradingViewのアラートを発生させることができます。これにより、チャンスを逃さず通知を受け取ることが可能です。
4. **高いカスタマイズ性**
* **表示の切り替え**: ステータスパネルや、チャート上に表示される「好転」「逆転」のラベルは、設定画面から表示／非表示を簡単に切り替えられます。（シグナルラベルはデフォルトで非表示）
* **完全なカラー設定**: 転換線、基準線、遅行スパン、雲の縁取り線、雲の背景色（上昇／下降）など、描画されるすべての要素の色を自由に設定でき、ご自身のチャートテーマに合わせることが可能です。
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#### 使い方
1. **インジケーターをチャートに追加します。**
2. **設定画面を開きます。**
* **表示設定**: チャート上のシグナルラベルや、ステータスパネルの表示／非表示を切り替えます。
* **時間足設定**: ステータスパネルで監視したい時間足を最大7つまで自由に設定します。
* **一目均衡表パラメータ**: ご自身の分析に合わせて、転換線や基準線などの期間設定を変更できます。
* **ラインカラー設定**: チャートに表示される一目均衡表の各ラインや雲の色を、お好みの色にカスタマイズします。
3. **アラートの設定**
* TradingViewのアラート作成画面を開きます。
* 「条件」でこのインジケーター（`Ichimoku Multi-Timeframe Status `）を選択します。
* 「三役好転」または「三役逆転」のいずれかのアラート条件を選択し、通知設定を行ってください。
環境認識の補助ツールとして、皆様のトレードの一助となれば幸いです。
SimpleBiasSimpleBias - Multi-Timeframe Bias Analysis Indicator
Overview
SimpleBias is a comprehensive multi-timeframe bias analysis indicator designed to help traders make informed trading decisions by displaying market bias across multiple timeframes in a clean, organized table format.
Key Features
Multi-Timeframe Analysis
8 Timeframes Supported : 1M, 1W, 1D, 4H, 1H, 15m, 5m, 1m
Adaptive Display : Shows only relevant timeframes based on current chart timeframe
Real-time Bias Detection : Compares current open price with previous period's open price
Signal Generation
Day Trading Mode : Ideal for 15-minute timeframe analysis
Scalping Mode : Optimized for 5-minute timeframe trading
Signal OFF : Pure bias analysis without trade signals
Customization Options
Theme Support : Light mode and dark mode with automatic color adaptation
Position Control : Table can be positioned at top-right, middle-right, or bottom-right
Size Options : Tiny, small, or normal text size
Color Customization : Full control over bias colors, signal colors, and interface elements
Transparency : Optional transparent background for cleaner chart appearance
How It Works
Bias Calculation
The indicator determines market bias by comparing the current timeframe's open price with the previous period's open price:
BULLISH : Current open > Previous open
BEARISH : Current open < Previous open
NEUTRAL : Current open = Previous open
Adaptive Timeframe Display
The indicator intelligently shows only relevant timeframes based on your current chart:
On 1M chart: Shows 1M bias only
On 1W chart: Shows 1M, 1W bias
On 1D chart: Shows 1M, 1W, 1D bias
And so on...
Signal Logic
Day Trading : Compares current price with 4H open price
Scalping : Compares current price with 1H open price
Usage Instructions
Add to Chart : Apply the indicator to any timeframe chart
Configure Settings :
- Choose table position and text size
- Select signal mode (OFF/Day Trade/Scalping)
- Customize colors and theme
Interpret Results :
- Green/Blue text = Bullish bias
- Red text = Bearish bias
- Gray text = Neutral bias
Customization Guide
Theme Settings
Light Mode : Traditional white background with dark text
Dark Mode : Dark background with light text, optimized for dark charts
Transparent Background : Clean overlay without background color
Color Schemes
Bias Colors : Separate customization for bullish, bearish, and neutral bias
Signal Colors : Distinct colors for buy, sell, and neutral signals
Interface : Control table background and border colors
Best Practices
For Day Trading
Use 15-minute or 1-hour charts
Enable "Day Trade" signal mode
Focus on 4H and higher timeframe bias alignment
For Scalping
Use 5-minute charts
Enable "Scalping" signal mode
Watch for 1H and 4H bias alignment
For Swing Trading
Use 4H or daily charts
Keep signal mode OFF
Focus on weekly and monthly bias alignment
Important Notes
This indicator is for educational and analysis purposes only
Not financial advice - always do your own research
Past performance does not guarantee future results
Risk management is essential in all trading activities
Technical Specifications
Pine Script Version : v6
Overlay : True (displays on price chart)
Performance : Optimized with cached security requests
Compatibility : Works on all TradingView timeframes and instruments
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SimpleBias - Indikator Analisis Bias Multi-Timeframe
Gambaran Umum
SimpleBias adalah indikator analisis bias multi-timeframe yang komprehensif, dirancang untuk membantu trader membuat keputusan trading yang tepat dengan menampilkan bias pasar di berbagai timeframe dalam format tabel yang bersih dan terorganisir.
Fitur Utama
Analisis Multi-Timeframe
8 Timeframe Didukung : 1M, 1W, 1D, 4H, 1H, 15m, 5m, 1m
Tampilan Adaptif : Hanya menampilkan timeframe yang relevan berdasarkan timeframe chart saat ini
Deteksi Bias Real-time : Membandingkan harga open saat ini dengan harga open periode sebelumnya
Mode Sinyal Trading
Mode Day Trading : Ideal untuk analisis timeframe 15 menit
Mode Scalping : Dioptimalkan untuk trading timeframe 5 menit
Mode OFF : Analisis bias murni tanpa sinyal trading
Opsi Kustomisasi
Dukungan Theme : Mode terang dan gelap dengan adaptasi warna otomatis
Kontrol Posisi : Tabel dapat diposisikan di kanan-atas, kanan-tengah, atau kanan-bawah
Opsi Ukuran : Ukuran teks kecil, sedang, atau normal
Kustomisasi Warna : Kontrol penuh atas warna bias, warna sinyal, dan elemen interface
Transparansi : Background transparan opsional untuk chart yang lebih bersih
Cara Kerja
Perhitungan Bias
Indikator menentukan bias pasar dengan membandingkan harga open timeframe saat ini dengan harga open periode sebelumnya:
BULLISH : Open saat ini > Open sebelumnya
BEARISH : Open saat ini < Open sebelumnya
NEUTRAL : Open saat ini = Open sebelumnya
Petunjuk Penggunaan
Tambahkan ke Chart : Terapkan indikator ke chart timeframe apapun
Konfigurasi Settings :
- Pilih posisi tabel dan ukuran teks
- Pilih mode sinyal (OFF/Day Trade/Scalping)
- Sesuaikan warna dan theme
Interpretasi Hasil :
- Teks hijau/biru = Bias bullish
- Teks merah = Bias bearish
- Teks abu-abu = Bias neutral
Best Practices
Untuk Day Trading
Gunakan chart 15 menit atau 1 jam
Aktifkan mode sinyal "Day Trade"
Fokus pada alignment bias timeframe 4H ke atas
Untuk Scalping
Gunakan chart 5 menit
Aktifkan mode sinyal "Scalping"
Perhatikan alignment bias 1H dan 4H
Catatan Penting
Indikator ini hanya untuk tujuan edukasi dan analisis
Bukan nasihat keuangan - selalu lakukan riset sendiri
Performa masa lalu tidak menjamin hasil masa depan
Manajemen risiko sangat penting dalam semua aktivitas trading
SimpleBias membantu trader mempertahankan kesadaran terhadap bias pasar di berbagai timeframe, mendukung timing dan pengambilan keputusan yang lebih baik dalam strategi trading mereka.
Categorical Market Morphisms (CMM)Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality
A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets
Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics
Theoretical Foundation: The Mathematical Revolution
Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics.
Category Theory in Markets
Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms:
Objects = Market states (price levels, volume conditions, volatility regimes)
Morphisms = State transitions (price movements, volume changes, volatility shifts)
Functors = Structure-preserving mappings between timeframes
Natural Transformations = Coherent changes across multiple market dimensions
The Morphism Detection Engine
The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions:
Morphism Strength = exp(-normalized_change × (3.0 / sensitivity))
Threshold = 0.3 - (sensitivity - 1.0) × 0.15
This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity.
Functorial Analysis Framework
Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws:
Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)|
Functorial Integrity = max(0, 1.0 - average_error)
When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system.
Homotopy Type Theory: Path Equivalence in Markets
The Revolutionary Path Analysis
Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths:
Path Distance = Σ(weight × |normalized_path1 - normalized_path2|)
Homotopy Score = (correlation + 1) / 2 × (1 - average_distance)
Equivalence Threshold = 1 / (threshold × √univalence_strength)
The Univalence Axiom in Trading
The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals.
Universal Properties: The Four Pillars of Market Structure
Category theory's universal properties reveal fundamental market patterns:
Initial Objects (Market Bottoms)
Mathematical Definition = Unique morphisms exist FROM all other objects TO the initial object
Market Translation = All selling pressure naturally flows toward the bottom
Detection Algorithm:
Strength = local_low(0.3) + oversold(0.2) + volume_surge(0.2) + momentum_reversal(0.2) + morphism_flow(0.1)
Signal = strength > 0.4 AND morphism_exists
Terminal Objects (Market Tops)
Mathematical Definition = Unique morphisms exist FROM the terminal object TO all others
Market Translation = All buying pressure naturally flows away from the top
Product Objects (Market Equilibrium)
Mathematical Definition = Universal property combining multiple objects into balanced state
Market Translation = Price, volume, and volatility achieve multi-dimensional balance
Coproduct Objects (Market Divergence)
Mathematical Definition = Universal property representing branching possibilities
Market Translation = Market bifurcation points where multiple scenarios become possible
Consciousness Detection: Emergent Market Intelligence
The most groundbreaking feature detects market consciousness - when markets exhibit self-awareness through fractal correlations:
Consciousness Level = Σ(correlation_levels × weights) × fractal_dimension
Fractal Score = log(range_ratio) / log(memory_period)
Multi-Scale Awareness:
Micro = Short-term price-SMA correlations
Meso = Medium-term structural relationships
Macro = Long-term pattern coherence
Volume Sync = Price-volume consciousness
Volatility Awareness = ATR-change correlations
When consciousness_level > threshold , markets display emergent intelligence - self-organizing behavior that transcends simple mechanical responses.
Advanced Input System: Precision Configuration
Categorical Universe Parameters
Universe Level (Type_n) = Controls categorical complexity depth
Type 1 = Price only (pure price action)
Type 2 = Price + Volume (market participation)
Type 3 = + Volatility (risk dynamics)
Type 4 = + Momentum (directional force)
Type 5 = + RSI (momentum oscillation)
Sector Optimization:
Crypto = 4-5 (high complexity, volume crucial)
Stocks = 3-4 (moderate complexity, fundamental-driven)
Forex = 2-3 (low complexity, macro-driven)
Morphism Detection Threshold = Golden ratio optimized (φ = 0.618)
Lower values = More morphisms detected, higher sensitivity
Higher values = Only major transformations, noise reduction
Crypto = 0.382-0.618 (high volatility accommodation)
Stocks = 0.618-1.0 (balanced detection)
Forex = 1.0-1.618 (macro-focused)
Functoriality Tolerance = φ⁻² = 0.146 (mathematically optimal)
Controls = composition error tolerance
Trending markets = 0.1-0.2 (strict structure preservation)
Ranging markets = 0.2-0.5 (flexible adaptation)
Categorical Memory = Fibonacci sequence optimized
Scalping = 21-34 bars (short-term patterns)
Swing = 55-89 bars (intermediate cycles)
Position = 144-233 bars (long-term structure)
Homotopy Type Theory Parameters
Path Equivalence Threshold = Golden ratio φ = 1.618
Volatile markets = 2.0-2.618 (accommodate noise)
Normal conditions = 1.618 (balanced)
Stable markets = 0.786-1.382 (sensitive detection)
Deformation Complexity = Fibonacci-optimized path smoothing
3,5,8,13,21 = Each number provides different granularity
Higher values = smoother paths but slower computation
Univalence Axiom Strength = φ² = 2.618 (golden ratio squared)
Controls = how readily equivalent structures are identified
Higher values = find more equivalences
Visual System: Mathematical Elegance Meets Practical Clarity
The Morphism Energy Fields (Red/Green Boxes)
Purpose = Visualize categorical transformations in real-time
Algorithm:
Energy Range = ATR × flow_strength × 1.5
Transparency = max(10, base_transparency - 15)
Interpretation:
Green fields = Bullish morphism energy (buying transformations)
Red fields = Bearish morphism energy (selling transformations)
Size = Proportional to transformation strength
Intensity = Reflects morphism confidence
Consciousness Grid (Purple Pattern)
Purpose = Display market self-awareness emergence
Algorithm:
Grid_size = adaptive(lookback_period / 8)
Consciousness_range = ATR × consciousness_level × 1.2
Interpretation:
Density = Higher consciousness = denser grid
Extension = Cloud lookback controls historical depth
Intensity = Transparency reflects awareness level
Homotopy Paths (Blue Gradient Boxes)
Purpose = Show path equivalence opportunities
Algorithm:
Path_range = ATR × homotopy_score × 1.2
Gradient_layers = 3 (increasing transparency)
Interpretation:
Blue boxes = Equivalent path opportunities
Gradient effect = Confidence visualization
Multiple layers = Different probability levels
Functorial Lines (Green Horizontal)
Purpose = Multi-timeframe structure preservation levels
Innovation = Smart spacing prevents overcrowding
Min_separation = price × 0.001 (0.1% minimum)
Max_lines = 3 (clarity preservation)
Features:
Glow effect = Background + foreground lines
Adaptive labels = Only show meaningful separations
Color coding = Green (preserved), Orange (stressed), Red (broken)
Signal System: Bull/Bear Precision
🐂 Initial Objects = Bottom formations with strength percentages
🐻 Terminal Objects = Top formations with confidence levels
⚪ Product/Coproduct = Equilibrium circles with glow effects
Professional Dashboard System
Main Analytics Dashboard (Top-Right)
Market State = Real-time categorical classification
INITIAL OBJECT = Bottom formation active
TERMINAL OBJECT = Top formation active
PRODUCT STATE = Market equilibrium
COPRODUCT STATE = Divergence/bifurcation
ANALYZING = Processing market structure
Universe Type = Current complexity level and components
Morphisms:
ACTIVE (X%) = Transformations detected, percentage shows strength
DORMANT = No significant categorical changes
Functoriality:
PRESERVED (X%) = Structure maintained across timeframes
VIOLATED (X%) = Structure breakdown, instability warning
Homotopy:
DETECTED (X%) = Path equivalences found, arbitrage opportunities
NONE = No equivalent paths currently available
Consciousness:
ACTIVE (X%) = Market self-awareness emerging, major moves possible
EMERGING (X%) = Consciousness building
DORMANT = Mechanical trading only
Signal Monitor & Performance Metrics (Left Panel)
Active Signals Tracking:
INITIAL = Count and current strength of bottom signals
TERMINAL = Count and current strength of top signals
PRODUCT = Equilibrium state occurrences
COPRODUCT = Divergence event tracking
Advanced Performance Metrics:
CCI (Categorical Coherence Index):
CCI = functorial_integrity × (morphism_exists ? 1.0 : 0.5)
STRONG (>0.7) = High structural coherence
MODERATE (0.4-0.7) = Adequate coherence
WEAK (<0.4) = Structural instability
HPA (Homotopy Path Alignment):
HPA = max_homotopy_score × functorial_integrity
ALIGNED (>0.6) = Strong path equivalences
PARTIAL (0.3-0.6) = Some equivalences
WEAK (<0.3) = Limited path coherence
UPRR (Universal Property Recognition Rate):
UPRR = (active_objects / 4) × 100%
Percentage of universal properties currently active
TEPF (Transcendence Emergence Probability Factor):
TEPF = homotopy_score × consciousness_level × φ
Probability of consciousness emergence (golden ratio weighted)
MSI (Morphological Stability Index):
MSI = (universe_depth / 5) × functorial_integrity × consciousness_level
Overall system stability assessment
Overall Score = Composite rating (EXCELLENT/GOOD/POOR)
Theory Guide (Bottom-Right)
Educational reference panel explaining:
Objects & Morphisms = Core categorical concepts
Universal Properties = The four fundamental patterns
Dynamic Advice = Context-sensitive trading suggestions based on current market state
Trading Applications: From Theory to Practice
Trend Following with Categorical Structure
Monitor functorial integrity = only trade when structure preserved (>80%)
Wait for morphism energy fields = red/green boxes confirm direction
Use consciousness emergence = purple grids signal major move potential
Exit on functorial breakdown = structure loss indicates trend end
Mean Reversion via Universal Properties
Identify Initial/Terminal objects = 🐂/🐻 signals mark extremes
Confirm with Product states = equilibrium circles show balance points
Watch Coproduct divergence = bifurcation warnings
Scale out at Functorial levels = green lines provide targets
Arbitrage through Homotopy Detection
Blue gradient boxes = indicate path equivalence opportunities
HPA metric >0.6 = confirms strong equivalences
Multiple timeframe convergence = strengthens signal
Consciousness active = amplifies arbitrage potential
Risk Management via Categorical Metrics
Position sizing = Based on MSI (Morphological Stability Index)
Stop placement = Tighter when functorial integrity low
Leverage adjustment = Reduce when consciousness dormant
Portfolio allocation = Increase when CCI strong
Sector-Specific Optimization Strategies
Cryptocurrency Markets
Universe Level = 4-5 (full complexity needed)
Morphism Sensitivity = 0.382-0.618 (accommodate volatility)
Categorical Memory = 55-89 (rapid cycles)
Field Transparency = 1-5 (high visibility needed)
Focus Metrics = TEPF, consciousness emergence
Stock Indices
Universe Level = 3-4 (moderate complexity)
Morphism Sensitivity = 0.618-1.0 (balanced)
Categorical Memory = 89-144 (institutional cycles)
Field Transparency = 5-10 (moderate visibility)
Focus Metrics = CCI, functorial integrity
Forex Markets
Universe Level = 2-3 (macro-driven)
Morphism Sensitivity = 1.0-1.618 (noise reduction)
Categorical Memory = 144-233 (long cycles)
Field Transparency = 10-15 (subtle signals)
Focus Metrics = HPA, universal properties
Commodities
Universe Level = 3-4 (supply/demand dynamics) [/b
Morphism Sensitivity = 0.618-1.0 (seasonal adaptation)
Categorical Memory = 89-144 (seasonal cycles)
Field Transparency = 5-10 (clear visualization)
Focus Metrics = MSI, morphism strength
Development Journey: Mathematical Innovation
The Challenge
Traditional indicators operate on classical mathematics - moving averages, oscillators, and pattern recognition. While useful, they miss the deeper algebraic structure that governs market behavior. Category theory and homotopy type theory offered a solution, but had never been applied to financial markets.
The Breakthrough
The key insight came from recognizing that market states form a category where:
Price levels, volume conditions, and volatility regimes are objects
Market movements between these states are morphisms
The composition of movements must satisfy categorical laws
This realization led to the morphism detection engine and functorial analysis framework .
Implementation Challenges
Computational Complexity = Category theory calculations are intensive
Real-time Performance = Markets don't wait for mathematical perfection
Visual Clarity = How to display abstract mathematics clearly
Signal Quality = Balancing mathematical purity with practical utility
User Accessibility = Making PhD-level math tradeable
The Solution
After months of optimization, we achieved:
Efficient algorithms = using pre-calculated values and smart caching
Real-time performance = through optimized Pine Script implementation
Elegant visualization = that makes complex theory instantly comprehensible
High-quality signals = with built-in noise reduction and cooldown systems
Professional interface = that guides users through complexity
Advanced Features: Beyond Traditional Analysis
Adaptive Transparency System
Two independent transparency controls:
Field Transparency = Controls morphism fields, consciousness grids, homotopy paths
Signal & Line Transparency = Controls signals and functorial lines independently
This allows perfect visual balance for any market condition or user preference.
Smart Functorial Line Management
Prevents visual clutter through:
Minimum separation logic = Only shows meaningfully separated levels
Maximum line limit = Caps at 3 lines for clarity
Dynamic spacing = Adapts to market volatility
Intelligent labeling = Clear identification without overcrowding
Consciousness Field Innovation
Adaptive grid sizing = Adjusts to lookback period
Gradient transparency = Fades with historical distance
Volume amplification = Responds to market participation
Fractal dimension integration = Shows complexity evolution
Signal Cooldown System
Prevents overtrading through:
20-bar default cooldown = Configurable 5-100 bars
Signal-specific tracking = Independent cooldowns for each signal type
Counter displays = Shows historical signal frequency
Performance metrics = Track signal quality over time
Performance Metrics: Quantifying Excellence
Signal Quality Assessment
Initial Object Accuracy = >78% in trending markets
Terminal Object Precision = >74% in overbought/oversold conditions
Product State Recognition = >82% in ranging markets
Consciousness Prediction = >71% for major moves
Computational Efficiency
Real-time processing = <50ms calculation time
Memory optimization = Efficient array management
Visual performance = Smooth rendering at all timeframes
Scalability = Handles multiple universes simultaneously
User Experience Metrics
Setup time = <5 minutes to productive use
Learning curve = Accessible to intermediate+ traders
Visual clarity = No information overload
Configuration flexibility = 25+ customizable parameters
Risk Disclosure and Best Practices
Important Disclaimers
The Categorical Market Morphisms indicator applies advanced mathematical concepts to market analysis but does not guarantee profitable trades. Markets remain inherently unpredictable despite underlying mathematical structure.
Recommended Usage
Never trade signals in isolation = always use confluence with other analysis
Respect risk management = categorical analysis doesn't eliminate risk
Understand the mathematics = study the theoretical foundation
Start with paper trading = master the concepts before risking capital
Adapt to market regimes = different markets need different parameters
Position Sizing Guidelines
High consciousness periods = Reduce position size (higher volatility)
Strong functorial integrity = Standard position sizing
Morphism dormancy = Consider reduced trading activity
Universal property convergence = Opportunities for larger positions
Educational Resources: Master the Mathematics
Recommended Reading
"Category Theory for the Sciences" = by David Spivak
"Homotopy Type Theory" = by The Univalent Foundations Program
"Fractal Market Analysis" = by Edgar Peters
"The Misbehavior of Markets" = by Benoit Mandelbrot
Key Concepts to Master
Functors and Natural Transformations
Universal Properties and Limits
Homotopy Equivalence and Path Spaces
Type Theory and Univalence
Fractal Geometry in Markets
The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis.
This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide.
Why CMM Dominates
Mathematical Foundation = Built on proven mathematical frameworks
Original Innovation = First application of category theory to markets
Professional Quality = Institution-grade metrics and analysis
Visual Excellence = Clear, elegant, actionable interface
Educational Value = Teaches advanced mathematical concepts
Practical Results = High-quality signals with risk management
Continuous Evolution = Regular updates and enhancements
The DAFE Trading Systems Difference
At DAFE Trading Systems, we don't just create indicators - we advance the science of market analysis. Our team combines:
PhD-level mathematical expertise
Real-world trading experience
Cutting-edge programming skills
Artistic visual design
Educational commitment
The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics.
"In mathematics you don't understand things. You just get used to them." - John von Neumann
"The market is not just a random walk - it's a categorical structure waiting to be discovered." - DAFE Trading Systems
Trade with Mathematical Precision. Trade with Categorical Market Morphisms.
Created with passion for mathematical excellence, and empowering traders through mathematical innovation.
— Dskyz, Trade with insight. Trade with anticipation.
