Moving Average Divergence BandsMoving Average Divergence Bands
Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common.
The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality.
🚀 Core Idea
The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions.
This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise.
🔍 How It Works
The indicator calculates two moving averages:
• A primary moving average using the chosen length
• A secondary moving average using half of that length
Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band.
To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when:
• Price breaks above or below the adaptive band, and
• The absolute Z-score exceeds the user-defined threshold.
This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise.
⚙️ Key Features
• Fast trend-following bands optimized for volatile markets
• Dual moving-average divergence construction
• Z-score filtering to reduce false signals
• Multiple moving-average types supported
• Adjustable statistical sensitivity
• Visual band and trend coloring styles
🧩 Inputs Overview
• Moving-average length and source
• Moving-average type selection
• Z-score calculation length
• Z-score activation threshold
• Visual style presets for band coloring
📌 Usage Notes
• Designed to identify strong market moves while filtering weak breakouts.
• Particularly suited for volatile markets and altcoin trading environments.
• Band breaks without sufficient Z-score strength will not trigger signals.
• Signals may change intrabar on lower timeframes.
• Best used alongside risk management and confirmation tools.
• No indicator eliminates risk; testing and validation are always recommended.
This script is intended for analytical use only and does not constitute financial advice.
Analyse de la tendance
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend
Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise.
Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases.
🔍 How It Works
The indicator combines:
• A user-selectable Moving Average as the core trend base
• ATR-based volatility bands to detect trend transitions
• An adaptive filter that determines when the base should update
The adaptive mechanism evaluates market conditions using one of several selectable drivers:
• ATR expansion (volatility increase)
• Rate-of-change acceleration
• Rising trading volume
• Increasing divergence between price and the moving average
If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations.
Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands.
When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance.
⚙️ Key Features
• Adaptive moving-average baseline
• Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA
• ATR-based volatility bands
• Multiple adaptation modes (volatility, momentum, volume, divergence)
• Reduced noise during consolidation phases
• Smooth trend visualization and transition markers
🧩 Inputs Overview
• Moving-average type and length
• Price source selection
• ATR length and multiplier
• Adaptive filter method selection
📌 Usage Notes
• Useful for identifying prevailing market direction and trend shifts.
• Adaptive filtering can help reduce false signals during sideways markets.
• Signals may update intrabar on lower timeframes.
• Best results are achieved when combined with confirmation tools or risk management rules.
• This script is intended for analytical purposes and does not provide financial advice.
Threshold AO VisualisationThe channel is a set of classic indicators with the ability to be customized, allowing for comprehensive market analysis and the ability to find entry points.
SMT Detector PRO [UFVG]The best currently available SMT indicator.
Main advantage that it scans multiple pivot lengths at once so it doesn't miss any smt.
It initially shows SMT with grey color which means that pivot is still unconfirmed.
Unconfirmed SMTs can disappear if price invalidates them.
RS Filtered RSIRS Filtered RSI (RSF RSI) | MisinkoMaster
The RS Filtered RSI is an advanced RSI-based indicator that enhances the traditional RSI by applying a custom filtering technique using Fourier transform principles. This reduces noise and improves the clarity of signals, helping traders better identify trend direction and potential reversals.
Key Features
Combines classic RSI calculation with Fourier-based filtering for noise reduction
Dynamically adapts to price momentum using Relative Strength filtering
Provides clear bullish and bearish trend signals with customizable thresholds
Includes overbought and oversold levels for better entry and exit timing
Plots divergence histogram to highlight momentum changes
Candle coloring aligns with trend direction for intuitive reading
Highly configurable via inputs for RSI length, filter length, Fourier length, and thresholds
How It Works
Calculates a standard RSI on the selected price source over the chosen length.
Applies a Discrete Fourier Transform (DFT) on recent price data to extract dominant frequency components and filter noise (code adapted from @BackQuant).
Uses Fourier magnitudes combined with RSI values to build a filter that strengthens the RSI signal and filters weak moves.
Applies upper and lower thresholds on the filtered RSI to define bullish and bearish trends.
Visualizes trend signals, divergence, and overbought/oversold zones with colored plots and candles.
Inputs Overview
Length — RSI calculation period
Source — Price input (default: close)
Filter Length — Length for Relative Strength filter
Fourier Length — Number of bars used for Fourier transform
Upper Threshold — Level above which bullish trend is signaled
Lower Threshold — Level below which bearish trend is signaled
Overbought — RSI level considered overbought
Oversold — RSI level considered oversold
Usage Notes
Best suited for traders who want a smoother, less noisy RSI signal especially in volatile markets.
Can be combined with other indicators or price action for better confirmation.
Adjust Fourier length and filter parameters to balance smoothness and responsiveness.
Use divergence histogram to spot momentum shifts early.
Candle coloring makes trend identification more intuitive.
Not a standalone trading signal — always backtest and manage risk accordingly.
Shout Out
Special thanks to @BackQuant for the Fourier transform code that inspired the filtering technique in this indicator.
Disclaimer
This indicator is for educational use only and does not constitute financial advice. Trading involves risk. Please do your own research and trade responsibly.
Sequential - Heatmap [R2D2]The Professional Edge in Trend Exhaustion
In a market environment saturated with noise, the most valuable tool for a trader is clarity. Standard trend-following indicators often lag, and traditional reversal markers can be premature. The Sequential: Heatmap is a sophisticated trend-exhaustion indicator designed to identify precise market inflection points where a trend has reached its mathematical limit.
By focusing on the Exhaustion Phase (counts 7, 8, and 9) and integrating Perfection Logic, this tool filters out "weak" setups, highlighting only the high-probability price flips that professional institutional traders watch.
How It Works: The Logic of Exhaustion
The Sequential operates on the principle of price symmetry. A "Setup" occurs when a series of at least nine consecutive bars close higher (for a Sell Setup) or lower (for a Buy Setup) than the close of the bar four periods prior.
The "Perfected" Difference
A standard 9-count is often not enough for a high-conviction entry. This publication-ready script includes Perfection Logic:
Perfected Buy (9★) : The low of bar 8 or 9 must be lower than the lows of both bars 6 and 7.
Perfected Sell (9★) : The high of bar 8 or 9 must be higher than the highs of both bars 6 and 7.
This ensures that the final move in the sequence is a true "climax" before the reversal begins.
Step-by-Step Usage Guide
Step 1: Monitor the Heatmap
As a trend develops, the bars will remain standard. Once the sequence hits count 7, the Heatmap Gradient activates.
Faint Color: Momentum is beginning to stretch.
Deep Saturated Color: The trend is entering the danger zone for a reversal.
Step 2: Identify the 9★ Completion
Wait for the number 9 to appear. If a star (★) is attached, the setup is "Perfected". This is your primary signal that the current move is mathematically overextended.
Step 3: Define Your Risk with Risk Lines
Upon completion of a 9-count, the script draws a solid thin horizontal line:
Green Line (Resistance) : The ceiling of the move. Use this as a profit target for longs or a hard stop for shorts.
Red Line (Support) : The floor of the move. Use this as a profit target for shorts or a hard stop for longs.
Trading Like a Pro: Strategies for Success
To use this tool effectively at a professional level, follow these three core tenets:
Don’t Front-Run the 9 : Amateur traders often try to "guess" the reversal at count 5 or 6. Professionals wait for the Perfected 9 to close. The heatmap is designed to keep you patient.
The "Risk Line" Breaker : If price closes beyond a Risk Line (e.g., closes above the green resistance line), the exhaustion has failed, and a "Setup Trend Extension" is occurring. In this case, exit your reversal trade immediately; the trend is stronger than the exhaustion.
Confluence with Higher Timeframes : A Perfected 9 on a 15-minute chart is strong; a Perfected 9 on a 15-minute chart that aligns with a 4-hour Risk Line is institutional grade.
GK Trend Ribbon 10L (Ultra Tight) + PREPARE HUDThis upgraded GK Trend Ribbon keeps original ultra tight 10-line trend engine but now adds a Real Time Preparation system to help traders get ready before the signal print
New Additions
Prepare Alerts (Early Warming System)
Before a GK BUY or GK SELL confirms, the indicator now detects when trend conditions are forming and prints
PREPARE GK BUY
PREPARE GK SELL
this gives traders time to: Set lot Sizes
Mark entries
Prepare risk management
Avoid late entries
Live Trend HUD (heads up display)
green Bullish mode
red Bearish mode
grey Neutral/wait
Warning symbol PREPARE GK BUY/SELL when a move is building
this acts like a market control panel keeping traders aligned with the trend direction at all times
CORE ENGINE (unchanged power)
zero lag trend structure
ATR based dynamic bands
1 clean GK BUY/SELL per confirmed trend shift
visual ribbon showing strength and direction
this version improves timing, preparation, and confidence-without adding clutter
this indicator are for educational purposes only
ISM Manufacturing PMIDescription
The ISM Manufacturing PMI (Purchasing Managers' Index) is a key economic indicator derived from monthly surveys of private sector companies. It provides insight into the health of the US manufacturing sector.
Above 50.0: Indicates Expansion.
Below 50.0: Indicates Contraction.
This script visualizes the ISM Manufacturing PMI using TradingView's available economic data (ECONOMICS:USBCOI), providing traders and analysts with a clear view of macroeconomic trends directly on their charts.
Key Features
Intuitive Visualization:
Dynamic Color Coding: The line turns Green during expansion (>50) and Red during contraction (<50).
Baseline Fill: Optional shading between the data line and the 50.0 baseline emphasizes the current economic state.
Histogram Mode: Toggle a histogram view to easily spot momentum shifts.
Customizable Data Source: Defaults to ECONOMICS:USBCOI but can be configured to use other tickers (e.g., FRED:NAPM) if preferred.
Smoothing: Built-in SMA, EMA, RMA, or WMA smoothing to filter out noise and see the longer-term trend.
Alerts: Set alerts for significant crossovers (Expansion/Contraction start) or extreme levels.
How to Use
Add to Chart: Apply the indicator to any chart. It works best on higher timeframes but pulls monthly data automatically.
Interpret the Trend:
Look for the line crossing the 50.0 level. A cross above suggests the manufacturing sector is growing (Bullish for economy). A cross below suggests slowing down or contraction (Bearish for economy).
Watch for extreme readings (above 60 or below 40) which often mark economic peaks or troughs.
Adjust Settings:
Style: Toggle the Line, Histogram, or Fill visibility in the settings.
Smoothing: If the raw data is too jagged, increase the "Smoothing Length" to 3 or 6 months.
Settings
PMI Ticker: Default is ECONOMICS:USBCOI.
Timeframe: Default is 1M (Monthly).
Show Line / Histogram: Toggle visualization modes.
Smoothing: Type and Length of the moving average applied to the data.
Colors: Customize the colors for Expansion (Grow), Contraction (Fall), and Neutral.
Indicator by: iCD_creator
Version: 1.0
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Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz)
SUMMARY
TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions.
Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied.
The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline.
WHAT THIS INDICATOR GIVES YOU
A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend.
An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage.
An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk.
An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure.
Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts.
SCIENTIFIC FOUNDATION (PLAIN ENGLISH)
Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other.
Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime.
Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap.
DATA AND SOURCES
This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required.
It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts.
HOW THE ENGINE WORKS (HIGH LEVEL)
Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering.
OUTPUTS AND HOW USERS SHOULD APPLY THEM
Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters.
Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime.
Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both.
The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown.
Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support.
SETTINGS GUIDE (WHAT MATTERS MOST)
Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe.
Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation.
Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes.
The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are.
LIMITATIONS (IMPORTANT FOR USERS)
This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths.
REFERENCES
Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250.
Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33.
Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29.
DISCLAIMER
Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
Midas Decision Dashboard (XAU)Midas Decision Dashboard (XAU)
Indicator Overview
Midas Decision Dashboard (XAU)** is a high-precision strategic tool specifically engineered for Gold (XAU/USD) scalping on lower timeframes like M1 and M5. Instead of providing a single, lagging signal, the dashboard acts as a "Mission Control" center, synthesizing four core market dimensions and real-time Price Action into a live, weighted scoring matrix.
The Four Strategic Pillars
The dashboard evaluates the market using a weighted logic system to ensure no single indicator triggers a false entry:
📈 TREND ANALYSIS (EMA 200 - 20%): Monitors the 200-period Exponential Moving Average to establish the primary market direction (BULL/BEAR/FLAT).
⚡ POWER & STRENGTH (ADX - 45%): The engine of the strategy. A high weight ensures you only engage when real trend strength is present. **WEAK** power is highlighted in Light Yellow to signal low-volatility caution.
🔥 MARKET ENERGY (CHOP - 25%): A sophisticated volatility meter that identifies BREAKOUT phases while flagging dangerous CONSOLIDATION zones in red to avoid sideways traps.
🌊 MOMENTUM SAFETY (RSI - 10%): Provides a final safety layer to prevent buying at overextended peaks or selling at oversaturated bottoms.
Dynamic Scoring & Signal Hierarchy
The system calculates a live score (0-100%) based on active conditions. The **🎯 SIGNAL** row triggers a verdict using a professional traffic-light system:
🟢 GO (80% - 100%): High-conviction alignment. All major pillars are in sync for an entry.
🟡 WAIT (50% - 79%): The market is developing, but full confirmation is currently missing.
🔴 STOP (Below 50%): Low-probability environment. No trade zone.
Disclaimer
Trading gold involves significant risk. This dashboard is a decision-support tool and should be used in conjunction with a proper risk management strategy.
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
BoaBias: Fractals + FVG [FREE]BoaBias: Fractals + FVG is a professional market structure analysis indicator that combines advanced fractals and Fair Value Gaps (FVG) with multi-timeframe support.
✨ Key Features
🔷 Advanced Fractals
Fractal Type Detection: Automatic identification of Day/Week/Month/Day+Week fractals
Smart Break Detection: Breakouts are checked on corresponding timeframes
3 or 5 Bar Fractals: Adjustable sensitivity
Visual Support/Resistance Lines: Clear display of key levels
📈 Fair Value Gaps (FVG)
Current Timeframe FVG: Automatic detection and display of zones
HTF FVG Support: FVG analysis across multiple timeframes (1H, 4H, 12H, 1D, 3D, 1W, 1M)
Auto Removal: Filled zones are automatically removed
Color Customization: Separate colors for bullish and bearish zones
🎯 Who is this indicator for?
Traders using market structure analysis
Those working with fractals and FVG
Multi-timeframe traders
Anyone who wants to visually see key levels and zones
⚙️ Settings
Fractals
Fractal period (3 or 5 bars)
Line width
Maximum active levels
Display window (last N bars)
Break detection settings (body only or with wicks)
FVG
Enable/disable FVG
HTF timeframe configuration
Colors for bullish and bearish zones
Automatic removal of filled zones
Maximum HTF zones count
💡 Advantages
✅ Clean Visual Analysis — Only lines and zones, no clutter
✅ Multi-Timeframe Analysis — See structure across different timeframes simultaneously
✅ Smart Fractal Logic — Automatic identification of important levels
✅ Professional Tool — Used in real trading
Seasonality (Prev Month Close Expected)Seasonality Indicator
This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns.
The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify.
Vladimir Popdimitrov
ICT Kill Zones PanelICT Kill Zones Panel - Clean & Simple Trading Sessions Indicator
A simple, objective indicator to identify ICT Kill Zones with real-time status and smart visual highlighting based on New York timezone.
WHAT MAKES IT DIFFERENT:
Traditional indicators clutter charts with dozens of colored boxes from past sessions. This tool provides a clean alternative:
- Real-time information panel showing current active session
- Smart dual-transparency painting: ACTIVE session displays stronger (more visible), historical sessions display softer (less clutter)
- Accurate session timing: Only shows active when session is actually happening
- Mobile-optimized size for phone trading
- Professional interface that doesn't interfere with price action
FEATURES:
- Real-Time Detection: Panel uses actual NYC time (timenow) to show which session is active NOW
- Precise Timing: Sessions activate ONLY during their specific time windows - all zones show inactive outside trading hours
- Smart Visual System: Currently active session has stronger background color, past sessions are softer
- Color Synchronization: Active session color in panel matches chart background color automatically
- Clean Highlighting: Optional background painting with adjustable transparency levels
- Full Customization: 9 panel positions, 4 sizes (Mobile/Small/Normal/Large), fully customizable colors
- All Sessions: Asian (20:00-01:00), London (02:00-05:00), NY AM (08:00-11:00), London Close (10:00-12:00), NY PM (13:00-16:00)
KILL ZONE SCHEDULE (NYC TIME):
1. Asian: 20:00 - 01:00 (5 hours)
2. INACTIVE: 01:00 - 02:00
3. London: 02:00 - 05:00 (3 hours)
4. INACTIVE: 05:00 - 08:00
5. NY AM: 08:00 - 11:00 (3 hours) - overlaps with London Close
6. London Close: 10:00 - 12:00 (2 hours) - overlaps with NY AM
7. INACTIVE: 12:00 - 13:00
8. NY PM: 13:00 - 16:00 (3 hours)
9. INACTIVE: 16:00 - 20:00
During INACTIVE periods, all sessions show as inactive in the panel.
COLOR SYSTEM:
ALL COLORS ARE FULLY CUSTOMIZABLE:
- Each Kill Zone has its own color setting (Asian, London, NY AM, London Close, NY PM)
- Default colors shown in screenshots are just examples
- Active session in panel: displays with its assigned color (e.g., green for NY AM by default)
- Same color appears on chart background with adjustable transparency
- Inactive sessions in panel: display with gray (also customizable)
- Panel background and text colors: fully customizable
- Choose colors that match your chart theme
The green color shown for active sessions in examples is the DEFAULT color for NY AM - you can change it to any color you prefer.
TRANSPARENCY SYSTEM EXPLAINED:
ACTIVE SESSION (happening right now):
- Default 70% transparency = STRONGER/MORE VISIBLE background
- Instantly shows which Kill Zone is unfolding
- Panel row highlights with the session's assigned color
- Chart background displays same color stronger
HISTORICAL SESSIONS (already passed):
- Default 90% transparency = SOFTER/LESS VISIBLE background
- Provides context without visual clutter
- Panel rows show gray (inactive color)
- Both transparency levels fully adjustable in settings
MOBILE OPTIMIZED:
Select "Mobile" panel size for optimal viewing on phone screens - compact layout perfect for smaller displays.
REPAINTING BEHAVIOR:
Panel Status & Colors: Update in real-time as sessions change - panel color switches to match the new active session (intentional for current awareness)
Active Session Highlighting: Adjusts in real-time to show current session stronger on chart
Historical Background Colors: Do NOT repaint - accurately mark when sessions occurred
Session Activation: Sessions activate and deactivate precisely at their scheduled times
CUSTOMIZATION:
- Panel: 9 positions, 4 sizes including Mobile
- Colors: Individual customizable color for each Kill Zone
- Panel Colors: Customizable background, text, and inactive zone colors
- Transparency: Separate controls for active (default 70%) and historical (default 90%) sessions
- Toggle: Show/hide individual zones
- Chart Painting: On/off
HOW TO USE:
1. Add to chart - panel appears top-right
2. Active session displays with its assigned color in panel and stronger on chart
3. Panel shows all zones as inactive during non-trading hours (accurate timing)
4. Panel color automatically changes when new session begins
5. Adjust all colors in settings to match your preferences
6. Adjust transparency settings for optimal visibility
7. Use "Mobile" size for phone trading
BEST FOR:
- ICT traders timing entries during high-liquidity periods
- Smart money concepts (FVG, Order Blocks, Liquidity)
- Traders who want clean charts with essential information
- Traders needing accurate session timing without false signals
- Mobile traders needing compact, clear displays
- Traders who want to customize colors to match their chart theme
TECHNICAL:
- Works on all timeframes
- Built with Pine Script v6
- NYC timezone with automatic DST adjustment
- Precise hour-based session detection
- Lightweight and optimized
- Open source
FEEDBACK WELCOME:
All comments, critiques, and suggestions are welcome! Your input helps improve this tool for the trading community.
Created by ivrank13 for traders who value simplicity, accuracy, and clean charts.
© 2026 ivrank13. All Rights Reserved.
#ICT #KillZones #SmartMoney #ForexSessions #CleanCharts #MobileTrading #CustomColors #AccurateTiming
MIZAN: Fake Out / Inducement HunterDescription
STOP GETTING TRAPPED BY THE MARKET!
Are you tired of getting stopped out right before the market moves in your direction? This is called a Fake Out or Liquidity Sweep. The "MIZAN Fake Out Hunter" is designed to detect these manipulation patterns automatically using Smart Money Concepts (SMC).
💎 How It Works:
Identifies Key Levels: The script automatically detects major Swing Highs and Swing Lows (Key Fractals) where liquidity (Stop Loss orders) is resting.
Detects Inducement: It monitors price action approaching these levels. When price creates "Equal Highs" or "Equal Lows" near a key level without breaking it, it identifies this as Inducement (a trap for retail traders).
Signals the Sweep: The signal fires ONLY when price aggressively breaks the level (sweeping the liquidity) and immediately rejects (closes back inside the range).
🚀 Features:
Bullish Fake Out (Green Signal): Detects when sellers are trapped at support (Stop Hunt Low).
Bearish Fake Out (Red Signal): Detects when buyers are trapped at resistance (Stop Hunt High).
Alerts Included: Never miss a manipulation setup again.
🧠 How to Trade: Use this indicator to confirm entries at Major Support/Resistance or Supply/Demand zones. Wait for the "FAKE OUT" signal to confirm that the Smart Money has finished collecting liquidity before entering the trade.
Luminous Trend Wave [Pineify]```
Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator
The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes.
Key Features
Hull Moving Average foundation for reduced lag trend detection
ATR normalization for universal applicability across all markets
Bounded output range (-100 to +100) using mathematical tanh transformation
Dynamic gradient coloring that reflects momentum intensity
Built-in signal line for momentum confirmation
Automatic alerts for trend reversals and momentum shifts
How It Works
The indicator operates through a four-stage calculation process:
Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements.
Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend.
ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar.
Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information.
Trading Ideas and Insights
Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis.
Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves.
Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move.
Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals.
How Multiple Indicators Work Together
LTW integrates three distinct technical concepts into a cohesive system:
Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?"
Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between.
Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals.
Unique Aspects
Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities.
Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading).
Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values.
How to Use
Add the indicator to your chart - it displays in a separate pane below price.
Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below.
Use the ±80 levels as caution zones where reversals become more likely.
Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum.
Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones.
Set alerts for automated notifications on trend changes and momentum shifts.
Customization
Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag.
Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers.
Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings.
Colors: Fully customizable bullish and bearish colors to match your chart theme.
Gradients: Toggle gradient coloring on/off based on preference.
Conclusion
The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity.
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WaveTrend Detailed Dashboard (Fixed)Trend: Is the Green line currently above the Red line? (UP/DOWN)
Age: How many candles ago did this crossover happen? (Freshness)
Zero Level: Is the Green line currently above or below the Zero line?
Direction:
TREND UP ↗ (Green): The Green line is physically above the Red line.
TREND DN ↘ (Red): The Green line is physically below the Red line.
Age (Candles):
This counts how many bars have passed since the crossover occurred.
Gold Text: Means the cross happened very recently (3 bars or less). This is your "Fresh" signal.
White Text: Means the trend is established and older.
Zero Level:
Above 0: The Green line is in positive territory.
Below 0: The Green line is in negative territory.
Commodity Channel Index - CCIOverview
This enhanced Commodity Channel Index (CCI) indicator provides traders with a sophisticated visualization of market momentum and trend direction. By combining the classic CCI oscillator with customizable moving averages and advanced visual features, it offers clear signals for identifying bullish and bearish market conditions.
Core Functionality
Indicator Components
CCI Oscillator - Measures how far current price deviates from its statistical average
Moving Average Filter - Smooths CCI values using your choice of 7 MA types
Visual Zones - Color-coded overbought/oversold areas with gradient fills
Market Bias Display - Prominent bullish/bearish label for quick interpretation
Key Features
📊 Customizable Calculations
Adjust CCI period (default: 55) for sensitivity tuning
Select MA type (EMA, SMA, WMA, HMA, etc.) and period (default: 30) for smoothing
Flexible moving average system supporting multiple calculation methods
🎨 Advanced Visualization
Dynamic Color Coding: CCI line turns green when bullish (>50), red when bearish (≤50)
Gradient Fill Zones:
Green gradient between CCI and midline for overbought region (200 to 0)
Red gradient between CCI and midline for oversold region (0 to -100)
Multiple Plot Layers: CCI line, MA line, midline, and fill areas for comprehensive view
🔍 Clear Signal Interpretation
Bullish Condition: CCI > 50 (green zone)
Bearish Condition: CCI ≤ 50 (red zone)
Overbought Warning: CCI in upper gradient zone
Oversold Opportunity: CCI in lower gradient zone
📱 User-Friendly Display
Large "⬆️ Bullish" or "⬇️ Bearish" label in corner for immediate bias assessment
Thick CCI line (width 3) for easy visibility
Yellow MA line for trend direction confirmation
Trading Applications
Trend Identification
Use CCI position relative to 50 midline for trend bias
MA line confirms trend strength and direction
Long periods (110/30) optimized for capturing sustained trends
Potential Reversal Zones
Gradient fills highlight overbought/oversold extremes
Watch for CCI crossing the 50 level for trend change signals
Combine with MA line crosses for confirmation
Market Sentiment Assessment
Quick visual scan of color reveals current market bias
Label provides unambiguous bullish/bearish classification
Multiple timeframes supported through adjustable periods
Usage Recommendations
📈 For Trend Following:
Trade in direction indicated by CCI > 50 (bullish) or ≤ 50 (bearish)
Use MA line as dynamic support/resistance for CCI
Consider entries when CCI pulls back toward 50 in trend direction
🔄 For Mean Reversion:
Watch for extremes in gradient zones for potential reversals
Monitor for CCI crossing back through 50 after reaching extremes
Use MA line as confirmation for reversal validity
⚖️ For Confirmation:
Pair with other indicators for signal confirmation
Use as secondary tool to validate primary trading system signals
Adjust periods to match your trading timeframe
Customization Options
CCI Length: Adjust sensitivity (higher = smoother, lower = more responsive)
MA Type & Length: Choose smoothing method and period
Visual Elements: All colors and fills are built-in but based on logic conditions
Unique Advantages
Immediate Clarity: Color-coding and label remove interpretation ambiguity
Enhanced Visualization: Gradient fills provide intuitive overbought/oversold zones
Dual Analysis: Combines oscillator (CCI) with trend tool (MA) in one view
Flexible Configuration: Multiple MA types accommodate different trading styles
This indicator transforms the traditional CCI into a comprehensive trading tool that provides clear visual cues for market direction, momentum extremes, and trend confirmation—all in a single, customizable package.
CMO Checklist (MHM)CMO Checklist is a manual trading checklist indicator designed to help traders
confirm market conditions step by step.
This tool is fully manual and does NOT generate signals.
It is intended for discretionary traders who follow structured setups
such as ICT / CMO-style execution models.
Features:
• Clean and compact checklist table
• Manual check / uncheck via inputs
• Fixed position (top-right)
• No repaint
• Pine Script v6 compatible
This indicator does not generate trading signals.
It is a visual checklist only.
• Manual
• Checklist
• No signals
• Educational / Trading tool
Flow State Hours🧠Whattt… like you’re really trading without checking the session?
🤔 Let me guess… you’re getting wicked out, then your move plays out?
🔑Why is Price moving from that level?
⏳ Patience is key: wait your turn, wait for alignment
🚀 Session opens are critical—don’t take them lightly!
📈 Asia Session Midline is slept on....
💡Try it out! Will make your trading much easier!
