Market Structure - Miguel TavaresMarket Structure for HTF MTF and LTF - H4-M15-M1/M3 LH-LL HH-HL and MSS understanding .
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Multitimeframe
Haze EMA SignalStrategy Logic:
Buy Entry 🟢
→ When the 11 EMA crosses above the 50 EMA,
→ And Stochastic RSI shows bullish momentum (%K > %D).
Sell / Exit 🔴
→ When the 11 EMA crosses below the 50 EMA,
→ And Stochastic RSI shows bearish momentum (%K < %D).
This dual-confirmation method helps reduce false signals by combining trend-following and momentum-based entries and exits.
SHORT TERM TRADE SIGNAL
EMA= 11/50
K/D/L=15/7/10
Zero Lag Trend Signals (MTF) [SYED WAQAR]ZLEMA Zero Lag Trend Indicator by Waqar
This custom-built Zero Lag Exponential Moving Average (ZLEMA) indicator is designed to help traders identify the market’s underlying trend with precision. Unlike traditional moving averages, this indicator significantly reduces lag, allowing you to make quicker, more informed decisions.
Features:
Zero Lag Calculation: The ZLEMA eliminates the typical lag seen in other moving averages, giving you a more accurate reflection of the market’s true direction.
Dynamic Trend Bands: The indicator includes dynamic upper and lower trend bands to visualize price volatility and help detect potential trend reversals.
Easy to Use: Integrated with simple buy/sell signals based on the ZLEMA’s behavior, making it beginner-friendly and effective for all trading strategies.
Customizable: Adjust the length and volatility multiplier to fit your trading style.
How to Use:
The ZLEMA line (orange) tracks the trend direction.
The green/red trend bands highlight bullish/bearish market conditions.
Use the trend shift and arrows for potential entry/exit signals.
Best Used For:
Day Trading, Swing Trading, and Scalping across all timeframes.
Ideal for traders who prefer a low-lag, high-precision indicator that adapts to changing market conditions.
Important Note: As with any indicator, always combine this with proper risk management and analysis to make well-informed trading decisions.
karontemassimi e minimi con medie mobili 9-21-200, per eliminare il tempo nella ricerca dei punti chiave.
ICT Judas + Silver Bullet🔰 ICT Judas + Silver Bullet Indicator (SMC-based)
Built for Prop Firm and High Win Rate Intraday Traders
This indicator identifies key institutional setups from Inner Circle Trader (ICT) and Smart Money Concepts (SMC) strategies, optimized for XAUUSD, EURUSD, and other high-volume pairs on the 5-minute chart.
📌 Core Features:
✅ Asian Range Box (02:00–08:00 SGT) – used as manipulation anchor
✅ London Killzone (14:00–16:00 SGT) – Judas Swing detection
✅ New York Killzone (22:30–23:30 SGT) – Silver Bullet setups
✅ Automatic Fair Value Gap (FVG) detection
✅ Liquidity sweep detection based on 20-bar EQH/EQL
✅ Entry + Stop Loss + Take Profit visualization with adjustable RR
✅ Alerts for Judas and Silver setups
✅ Perfect for prop firm scalping and intraday swing logic
🛠️ How It Works:
- Judas Swing: triggers when liquidity above the Asian high is swept during London Killzone
- Silver Bullet: triggers when liquidity below recent lows is swept during NY Killzone
- Entry shown via circle, SL and TP lines based on user-defined RR and stop-loss pip distance
- Designed to be paired with SMC/ICT OB/FVG confirmation entries
⚙️ Settings:
- Adjustable session times
- Toggle FVG display
- Set RR and SL pips to match prop firm rules
- Compatible with alert webhooks for Telegram
🕰️ Note:
All times are fixed to **SGT (GMT+8)**. If you're in another timezone, adjust your TradingView timezone accordingly or update the session inputs manually during Daylight Saving Time changes.
🔔 Alert-Ready:
Use alerts for live signals and pair with webhooks for automation.
🔍 Recommended Pairings:
XAUUSD, EURUSD, GBPUSD, NAS100 on M5 chart
📈 Win Rate Potential:
Backtested with high-probability setups aligned with prop firm daily goals. Best used with strict discipline and 1-2 setups per day.
—
Built with ❤️ by a trader, for traders looking for precision-based executions using ICT logic.
Timeframe StatusThis powerful Timeframe Status Dashboard indicator, built with Pine Script v5, shows a quick visual of EMA-based market trends across multiple timeframes — including 3M, 5M, 15M, 30M, 1H, 4H, and 1D.
📌 Features:
Real-time EMA trend analysis
Covers 7 key timeframes
Clean, minimal table layout
Bottom-right positioning
Color-coded for quick decision making
This script is ideal for scalpers, swing traders, and position traders who want a fast glance at market momentum across multiple timeframes.
MMA -SA
User Settings & Input Configuration:
Option to enable/disable projection labels.
Set custom Lower Timeframe (LTF) and Higher Timeframe (HTF) values.
Option for automatic HTF selection based on the current chart's timeframe.
Define projection levels as percentages (e.g., -0.01,-0.1,-1) representing ranges from the selected candle.
Timeframe Handling:
If auto-HTF is enabled, it dynamically determines the appropriate HTF based on the current chart.
Retrieves OHLC and time data from the selected HTF using request.security.
Market Structure Detection:
On every new HTF candle, the script checks for:
Bullish MSS: Current candle closes above the high of two candles ago, after sweeping the previous low.
Bearish MSS: Current candle closes below the low of two candles ago, after sweeping the previous high.
When a valid MSS is found, the candle’s high and low are used to calculate the projection range.
Projection Level Plotting:
For each level specified by the user, the script calculates a horizontal line based on the candle's range.
These levels are plotted to the left side of the current candle (by a shift of -35 bars), projecting possible future price reactions.
Labels are added next to each level if the user enables them.
💡 Practical Use Cases:
Ideal for advanced price action traders who want to identify structural breakouts.
Helps in setting target zones or invalidation levels.
Adds a visual forecasting layer by projecting key levels forward.
🔧 Technical Notes:
Uses array to store projection levels and loop through them dynamically.
Projection lines and labels are styled for clean visibility.
Logic ensures detection only happens once per new HTF candle (using htf_time check).
Trading Value (Volume*Price in Million) by Asharifan v5Trading Value (in Million) by Asharifan
This indicator calculates and visualizes the trading value (price × volume) in millions for stocks, providing a clear view of market activity and money flow. It displays the current trading value alongside its 20-day and 50-day simple moving averages (SMAs), all rounded to whole numbers for easy interpretation. Designed for stock market analysis, it works best on daily and weekly timeframes, making it an excellent tool for swing trading and trend analysis.
Key Features:
Today P*V (M): Plots the daily trading value as columns, with teal bars for bullish days (close > open) and gray bars for bearish days (close < open).
20-day and 50-day Avg P*V (M): Tracks the short-term (20-day) and medium-term (50-day) average trading values in red and blue lines, respectively, to identify trends and shifts in market participation.
How to Use:
Swing Trading: Identify potential entry and exit points by watching for crossovers or divergences between the 20-day and 50-day averages, especially when trading value spikes above the 20M threshold.
Trend Analysis: Monitor the direction and slope of the 20-day and 50-day averages to confirm bullish or bearish trends in stock momentum and volume.
Smart Money Footprints: High trading value spikes, especially when sustained above the 20M line, can signal institutional or "smart money" activity, helping traders track significant market moves.
This indicator is particularly valuable for stock traders looking to gauge market strength, spot accumulation or distribution phases, and align their strategies with broader market trends. Best suited for daily and weekly charts, it’s a powerful addition to any swing trader’s or trend follower’s toolkit, offering clear insights into the footprints of smart money in the stock market.
PRIME 2.0PRIME 2.0 — Precision Entry Tool
PRIME 2.0 is a smart price action-based indicator designed for intraday traders who want to catch high-probability moves during the London session. It uses a combination of market structure shifts (CHOCH – Change of Character) and session-based timing to identify potential entries.
🔍 Key Features:
Session-Based Logic: Activates after the London market opens, filtering noise from other sessions.
CHOCH Detection: Spots shifts in market structure by identifying crossover and crossunder of candle highs/lows.
Visual Entry Points: Plots real-time entry points based on structure change.
🧠 Who Is It For?
Scalpers and day traders
Traders who follow Smart Money Concepts (SMC)
Anyone looking to improve entry precision without clutter
⚠️ Disclaimer:
This indicator does not generate buy/sell signals or exit points. It is meant to be used as a tool within a broader trading strategy. Combine it with your own risk management and market knowledge for best results
GranDoc - Week, Day, Month, and Session Separator5Indicator Name: GranDoc's - Week, Day, Month, and Session Separator
Version: Pine Script v5
Author: Jonpaul Nnamdi Opara (GranDoc )
Description
The "GranDoc - Week, Day, Month, and Session Separator" is a highly customizable TradingView indicator designed to enhance chart analysis by visually marking critical time-based transitions. Developed by Jonpaul Nnamdi Opara, this tool plots vertical lines with labels or background highlights to denote the start and end of weeks, days, months, and major trading sessions (Frankfurt, London, NY Morning, NY Afternoon, Sydney, and Tokyo). Traders can tailor colors, line styles, widths, transparency, and session times to align with their strategies and timezones.
Ideal for forex, stocks, futures, and crypto traders, this indicator simplifies the identification of key market periods—such as session openings/closings or new weeks—that often signal increased volatility or trend shifts. It’s optimized for intraday timeframes for session separators but supports all timeframes for week, day, and month markers, making it a versatile addition to any trader’s toolkit.
Features
Week Separators: Marks Monday starts with customizable lines and "Week Start" labels.
Day Separators: Highlights daily openings with lines and "Day Start" labels.
Month Separators: Indicates new months with lines and "Month Start" labels.
Session Separators: Plots lines and labels for major trading sessions’ start and end:
Frankfurt (default: 07:00–15:00 UTC)
London (default: 08:00–16:00 UTC)
NY Morning (default: 13:00–16:00 UTC)
NY Afternoon (default: 16:00–21:00 UTC)
Sydney (default: 22:00–06:00 UTC)
Tokyo (default: 00:00–08:00 UTC)
Timezone Support: Adjusts session times with a UTC offset (±12 hours).
Display Flexibility : Toggle between labeled vertical lines or background highlights.
Customization: Fine-tune colors, line styles (solid, dashed, dotted), widths, and transparency.
Background Mode: Highlights periods with translucent backgrounds for cleaner charts.
[ i]Labeled Lines: Each line includes descriptive labels (e.g., "London Open", "Tokyo Closed") when not in background mode.
How to Use
Add to Chart:
Copy the script into TradingView’s Pine Editor.
Click "Add to Chart" to apply the indicator.
Customize Settings:
Open settings via double-click or the "Settings" gear icon.
Timezone Offset: Set your UTC offset (e.g., -5 for EST) to align sessions.
Toggles: Enable/disable week, day, month, or session separators.
Appearance: Adjust colors, line styles, widths, and transparency for each separator.
Session Times: Modify start/end hours and minutes if defaults don’t suit your market.
Background Mode: Enable "Show as Background" for colored backgrounds instead of lines, and tweak "Session Background Transparency."
Labels: Labeled lines (e.g., "Sydney Open") appear automatically unless background mode is active.
Chart Compatibility:
Session separators require intraday timeframes (e.g., 1-minute to 4-hour).
Week, day, and month separators work across all timeframes.
Confirm your chart’s timezone aligns with your analysis.
Analyze:
Use separators to pinpoint session transitions, daily openings, or weekly shifts for trade planning.
Labels make it easy to spot key periods on busy charts.
Pair with indicators like RSI, volume, or support/resistance for deeper insights.
Example Use Cases
Forex Trading: Highlight London and NY session opens/closes for high-liquidity entries.
Day Trading: Reset strategies at daily separators and monitor intraday volatility.
Swing Trading: Use week/month separators to track longer-term trends.
Session Focus: Isolate sessions like Tokyo for regional market analysis.
Chart Clarity: Background mode declutters charts while marking key times.
Notes
Session separators are disabled on daily+ timeframes to prevent clutter.
Verify timezone offset for accurate session alignment.
Background mode suits lower timeframes for readability.
Labels are visible only when background mode is disabled.
Feedback
Share your thoughts or suggestions to make this indicator even better! Reach out via TradingView or connect with the author for insights. Happy trading!
About the Author
Dr. Jonpaul Nnamdi Opara, a PhD graduate from Ehime University, Japan, is a researcher and developer specializing in AI and machine learning. His work on automated landslide mapping and defect detection, published in journals like GEOMATE, showcases his precision-driven approach. With the "GranDoc" indicator, Jonpaul brings intuitive, data-driven clarity to financial markets, reflecting his expertise in creating impactful tools.
SMA50 vs SMA200 Cross SignalsThis script detects golden and death cross signals using SMA 50 and SMA 200. When SMA50 crosses above SMA200, a buy signal is generated (Golden Cross). When SMA50 crosses below SMA200, a sell signal is generated (Death Cross). This script is designed for long-term trend-following strategies. Visual arrows are shown and alerts can be added.
Trading Value (in Million) by Asharifan v4Trading Value (in Million) by Asharifan
This indicator calculates and visualizes the trading value (price × volume) in millions for stocks, providing a clear view of market activity and money flow. It displays the current trading value alongside its 20-day and 50-day simple moving averages (SMAs), all rounded to whole numbers for easy interpretation. Designed for stock market analysis, it works best on daily and weekly timeframes, making it an excellent tool for swing trading and trend analysis.
Key Features:
Today P*V (M): Plots the daily trading value as columns, with teal bars for bullish days (close > open) and gray bars for bearish days (close < open).
20-day and 50-day Avg P*V (M): Tracks the short-term (20-day) and medium-term (50-day) average trading values in red and blue lines, respectively, to identify trends and shifts in market participation.
How to Use:
Swing Trading: Identify potential entry and exit points by watching for crossovers or divergences between the 20-day and 50-day averages, especially when trading value spikes above the 20M threshold.
Trend Analysis: Monitor the direction and slope of the 20-day and 50-day averages to confirm bullish or bearish trends in stock momentum and volume.
Smart Money Footprints: High trading value spikes, especially when sustained above the 20M line, can signal institutional or "smart money" activity, helping traders track significant market moves.
This indicator is particularly valuable for stock traders looking to gauge market strength, spot accumulation or distribution phases, and align their strategies with broader market trends. Best suited for daily and weekly charts, it’s a powerful addition to any swing trader’s or trend follower’s toolkit, offering clear insights into the footprints of smart money in the stock market.
New Day DividerPlots vertical dividers on your chart to mark the beginning of a new trading day based on your preferred time convention.
✅ Customizable New Day Start Time:
"Use Midnight" → Marks the start of a new day at 00:00 (midnight) in the selected timezone.
"Use Digital Open" → Marks the start of a new day at 18:00 New York time, commonly used for digital asset trading.
✅ Full Timezone Support:
Choose from all U.S. time zones (default: New York).
Supports UTC and full UTC offset adjustments for global traders.
✅ Customizable Line Appearance:
Select divider color, width, and style (Solid, Dashed, or Dotted).
SPX500 Volatility Breakout StrategyBased on Volatility this indicator looks for breakouts to trade in the 15min TF.
Algorithmic Scanner Dashboard v1.78Timeframe biases (M1, M15, H4)
Models (MS, A+B, A+B+MS)
Verification techniques
Market structure analysis
Probability calculations using your formula
EMA Envelope + EMA Bollinger BandsEMA envelope and bollinger bands together. It works on the principal of exponential moving average useful in identifying rallies top and bottoms.
Precision is high on higher timeframes like weekly and daily and monthly for swingtrades
Multi-timeframe Moving Average Overlay w/ Sentiment Table🔍 Overview
This indicator overlays selected moving averages (MA) from multiple timeframes directly onto the chart and provides a dynamic sentiment table that summarizes the relative bullish or bearish alignment of short-, mid-, and long-term moving averages.
It supports seven moving average types — including traditional and advanced options like DEMA, TEMA, and HMA — and provides visual feedback via table highlights and alerts when strong momentum alignment is detected.
This tool is designed to support traders who rely on multi-timeframe analysis for trend confirmation, momentum filtering, and high-probability entry timing.
⚙️ Core Features
Multi-Timeframe MA Overlay:
Plot moving averages from 1-minute, 5-minute, 1-hour, 1-day, 1-week, and 1-month timeframes on the same chart for visual trend alignment.
Customizable MA Type:
Choose from:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
DEMA (Double EMA)
TEMA (Triple EMA)
WMA (Weighted MA)
VWMA (Volume-Weighted MA)
HMA (Hull MA)
Adjustable MA Length:
Change the length of all moving averages globally to suit your strategy (e.g. 9, 21, 50, etc.).
Sentiment Table:
Visually track trend sentiment across four key zones (Hourly, Daily, Weekly, Monthly). Each is based on the relative positioning of short-term and long-term MAs.
Sentiment Symbols Explained:
↑↑↑: Strong bullish momentum (short-term MAs stacked above longer-term MAs)
↑↑ / ↑: Moderate bullish bias
↓↓↓: Strong bearish momentum
↓↓ / ↓: Moderate bearish bias
Table Customization:
Choose the table’s position on the chart (bottom right, top right, bottom left, top left).
Style Customization:
Display MA lines as standard Line or Stepline format.
Color Customization:
Individual colors for each timeframe MA line for visual clarity.
Built-in Alerts:
Receive alerts when strong bullish (↑↑↑) or bearish (↓↓↓) sentiment is detected on any timeframe block.
📈 Use Cases
1. Trend Confirmation:
Use sentiment alignment across multiple timeframes to confirm the overall trend direction before entering a trade.
2. Entry Timing:
Wait for a shift from neutral to strong bullish or bearish sentiment to time entries during pullbacks or breakouts.
3. Momentum Filtering:
Only trade in the direction of the dominant multi-timeframe trend. For example, ignore long setups when all sentiment blocks show bearish alignment.
4. Swing & Intraday Scalping:
Use hourly and daily sentiment zones for swing trades, or rely on 1m/5m MAs for precise scalping decisions in fast-moving markets.
5. Strategy Layering:
Combine this overlay with support/resistance, RSI, or volume-based signals to enhance decision-making with multi-timeframe context.
⚠️ Important Notes
Lower-timeframe values (1m, 5m) may appear static on higher-timeframe charts due to resolution limits in TradingView. This is expected behavior.
The indicator uses MA stacking, not crossover events, to determine sentiment.
Dskyz (DAFE) MAtrix with ATR-Powered Precision Dskyz (DAFE) MAtrix with ATR-Powered Precision
This cutting‐edge futures trading strategy built to thrive in rapidly changing market conditions. Developed for high-frequency futures trading on instruments such as the CME Mini MNQ, this strategy leverages a matrix of sophisticated moving averages combined with ATR-based filters to pinpoint high-probability entries and exits. Its unique combination of adaptable technical indicators and multi-timeframe trend filtering sets it apart from standard strategies, providing enhanced precision and dynamic responsiveness.
imgur.com
Core Functional Components
1. Advanced Moving Averages
A distinguishing feature of the DAFE strategy is its robust, multi-choice moving averages (MAs). Clients can choose from a wide array of MAs—each with specific strengths—in order to fine-tune their trading signals. The code includes user-defined functions for the following MAs:
imgur.com
Hull Moving Average (HMA):
The hma(src, len) function calculates the HMA by using weighted moving averages (WMAs) to reduce lag considerably while smoothing price data. This function computes an intermediate WMA of half the specified length, then a full-length WMA, and finally applies a further WMA over the square root of the length. This design allows for rapid adaptation to price changes without the typical delays of traditional moving averages.
Triple Exponential Moving Average (TEMA):
Implemented via tema(src, len), TEMA uses three consecutive exponential moving averages (EMAs) to effectively cancel out lag and capture price momentum. The final formula—3 * (ema1 - ema2) + ema3—produces a highly responsive indicator that filters out short-term noise.
Double Exponential Moving Average (DEMA):
Through the dema(src, len) function, DEMA calculates an EMA and then a second EMA on top of it. Its simplified formula of 2 * ema1 - ema2 provides a smoother curve than a single EMA while maintaining enhanced responsiveness.
Volume Weighted Moving Average (VWMA):
With vwma(src, len), this MA accounts for trading volume by weighting the price, thereby offering a more contextual picture of market activity. This is crucial when volume spikes indicate significant moves.
Zero Lag EMA (ZLEMA):
The zlema(src, len) function applies a correction to reduce the inherent lag found in EMAs. By subtracting a calculated lag (based on half the moving average window), ZLEMA is exceptionally attuned to recent price movements.
Arnaud Legoux Moving Average (ALMA):
The alma(src, len, offset, sigma) function introduces ALMA—a type of moving average designed to be less affected by outliers. With parameters for offset and sigma, it allows customization of the degree to which the MA reacts to market noise.
Kaufman Adaptive Moving Average (KAMA):
The custom kama(src, len) function is noteworthy for its adaptive nature. It computes an efficiency ratio by comparing price change against volatility, then dynamically adjusts its smoothing constant. This results in an MA that quickly responds during trending periods while remaining smoothed during consolidation.
Each of these functions—integrated into the strategy—is selectable by the trader (via the fastMAType and slowMAType inputs). This flexibility permits the tailored application of the MA most suited to current market dynamics and individual risk management preferences.
2. ATR-Based Filters and Risk Controls
ATR Calculation and Volatility Filter:
The strategy computes the Average True Range (ATR) over a user-defined period (atrPeriod). ATR is then used to derive both:
Volatility Assessment: Expressed as a ratio of ATR to closing price, ensuring that trades are taken only when volatility remains within a safe, predefined threshold (volatilityThreshold).
ATR-Based Entry Filters: Implemented as atrFilterLong and atrFilterShort, these conditions ensure that for long entries the price is sufficiently above the slow MA and vice versa for shorts. This acts as an additional confirmation filter.
Dynamic Exit Management:
The exit logic employs a dual approach:
Fixed Stop and Profit Target: Stops and targets are set at multiples of ATR (fixedStopMultiplier and profitTargetATRMult), helping manage risk in volatile markets.
Trailing Stop Adjustments: A trailing stop is calculated using the ATR multiplied by a user-defined offset (trailOffset), which captures additional profits as the trade moves favorably while protecting against reversals.
3. Multi-Timeframe Trend Filtering
The strategy enhances its signal reliability by leveraging a secondary, higher timeframe analysis:
15-Minute Trend Analysis:
By retrieving 15-minute moving averages (fastMA15m and slowMA15m) via request.security, the strategy determines the broader market trend. This secondary filter (enabled or disabled through useTrendFilter) ensures that entries are aligned with the prevailing market direction, thereby reducing the incidence of false signals.
4. Signal and Execution Logic
Combined MA Alignment:
The entry conditions are based primarily on the alignment of the fast and slow MAs. A long condition is triggered when the current price is above both MAs and the fast MA is above the slow MA—complemented by the ATR filter and volume conditions. The reverse applies for a short condition.
Volume and Time Window Validation:
Trades are permitted only if the current volume exceeds a minimum (minVolume) and the current hour falls within the predefined trading window (tradingStartHour to tradingEndHour). An additional volume spike check (comparing current volume to a moving average of past volumes) further filters for optimal market conditions.
Comprehensive Order Execution:
The strategy utilizes flexible order execution functions that allow pyramiding (up to 10 positions), ensuring that it can scale into positions as favorable conditions persist. The use of both market entries and automated exits (with profit targets, stop-losses, and trailing stops) ensures that risk is managed at every step.
5. Integrated Dashboard and Metrics
For transparency and real-time analysis, the strategy includes:
On-Chart Visualizations:
Both fast and slow MAs are plotted on the chart, making it easy to see the market’s technical foundation.
Dynamic Metrics Dashboard:
A built-in table displays crucial performance statistics—including current profit/loss, equity, ATR (both raw and as a percentage), and the percentage gap between the moving averages. These metrics offer immediate insight into the health and performance of the strategy.
Input Parameters: Detailed Breakdown
Every input is meticulously designed to offer granular control:
Fast & Slow Lengths:
Determine the window size for the fast and slow moving averages. Smaller values yield more sensitivity, while larger values provide a smoother, delayed response.
Fast/Slow MA Types:
Choose the type of moving average for fast and slow signals. The versatility—from basic SMA and EMA to more complex ones like HMA, TEMA, ZLEMA, ALMA, and KAMA—allows customization to fit different market scenarios.
ATR Parameters:
atrPeriod and atrMultiplier shape the volatility assessment, directly affecting entry filters and risk management through stop-loss and profit target levels.
Trend and Volume Filters:
Inputs such as useTrendFilter, minVolume, and the volume spike condition help confirm that a trade occurs in active, trending markets rather than during periods of low liquidity or market noise.
Trading Hours:
Restricting trade execution to specific hours (tradingStartHour and tradingEndHour) helps avoid illiquid or choppy markets outside of prime trading sessions.
Exit Strategies:
Parameters like trailOffset, profitTargetATRMult, and fixedStopMultiplier provide multiple layers of risk management and profit protection by tailoring how exits are generated relative to current market conditions.
Pyramiding and Fixed Trade Quantity:
The strategy supports multiple entries within a trend (up to 10 positions) and sets a predefined trade quantity (fixedQuantity) to maintain consistent exposure and risk per trade.
Dashboard Controls:
The resetDashboard input allows for on-the-fly resetting of performance metrics, keeping the strategy’s performance dashboard accurate and up-to-date.
Why This Strategy is Truly Exceptional
Multi-Faceted Adaptability:
The ability to switch seamlessly between various moving average types—each suited to particular market conditions—enables the strategy to adapt dynamically. This is a testament to the high level of coding sophistication and market insight infused within the system.
Robust Risk Management:
The integration of ATR-based stops, profit targets, and trailing stops ensures that every trade is executed with well-defined risk parameters. The system is designed to mitigate unexpected market swings while optimizing profit capture.
Comprehensive Market Filtering:
By combining moving average crossovers with volume analysis, volatility thresholds, and multi-timeframe trend filters, the strategy only enters trades under the most favorable conditions. This multi-layered filtering reduces noise and enhances signal quality.
-Final Thoughts-
The Dskyz Adaptive Futures Elite (DAFE) MAtrix with ATR-Powered Precision strategy is not just another trading algorithm—it is a multi-dimensional, fully customizable system built on advanced technical principles and sophisticated risk management techniques. Every function and input parameter has been carefully engineered to provide traders with a system that is both powerful and transparent.
For clients seeking a state-of-the-art trading solution that adapts dynamically to market conditions while maintaining strict discipline in risk management, this strategy truly stands in a class of its own.
****Please show support if you enjoyed this strategy. I'll have more coming out in the near future!!
-Dskyz
Caution
DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
StonkGame Major Market Open/ClosePlots vertical lines for Tokyo, London, and New York session opens and closes — auto-adjusted to your chart's timezone.
Open lines = lighter, dashed style.
Close lines = solid, full-color style.
Helps identify key liquidity windows, session-driven volatility, and clean market structure — without chart clutter.
Fully customizable colors and line styles for a professional, minimal look.
Multi Candle Body MapperMulti Candle Body Mapper
Visualize higher-timeframe candle structure within lower timeframes — without switching charts.
This tool maps grouped candle bodies and wicks (e.g., 15min candles on a 5min chart) using precise boxes and lines. Ideal for intraday traders who want to analyze market intent, body bias, and wick rejection in a compressed, organized view.
Features:
Visualize 3, 6, or 12 candle groups (e.g., 15min / 30min / 1H views)
Body box shows bullish/bearish color with adjustable transparency
Wick box shows high-low range with adjustable thickness and color
Dashed line at group close level for market direction hint
Full color customization
Toggle individual elements ON/OFF
Clean overlay – doesn’t interfere with price candles
Great for spotting:
Hidden support/resistance
Momentum buildup
Reversal traps and continuation setups
Keep your chart simple but smarter — all without changing your timeframe.
2m + 15m 20T Trend Reversal SignalsCombination of my 2m and 15m 20T signals - created for my system and those who trade it, you won't find use in this indicator otherwise
Multi-Timeframe TRAMAs (1m-10m)Combines Luxalgo's 1m, 2m, 3m, 5m and 10m TRAMAs to be visible on any timeframe.
Created to pick targets on OBs near flat 200Ts, so that it's impossible to miss an exit signal.
Global M2 10-Week Lead (for bitcoin)This script displays a combined view of the Global M2 Money Supply, converted to USD and adjusted with a configurable forward lead (default 10 weeks). It is designed to help visualize macro liquidity trends and anticipate potential impacts on Bitcoin price movements across any timeframe.
🔹 Main Features:
- Aggregates M2 data from 18 countries and regions including the USA, Eurozone, China, Japan, and more.
- All M2 values are converted to USD using respective exchange rates.
- Customizable “Slide Weeks Forward” setting lets you project global liquidity data into the future.
- Works on all timeframes by adjusting the projection logic dynamically.
- Toggle each country’s data on or off to customize the liquidity model.
💡 Use Case:
Global liquidity is often a leading indicator for major asset classes. This tool helps traders and analysts assess macro-level trends and their potential influence on Bitcoin by looking at changes in M2 money supply worldwide.
💡 Inspired By:
This tool mimics the Global M2 10-Week Lead liquidity indicator often referenced by Raoul Pal of Real Vision and Global Macro Investor, used for macro analysis and Bitcoin movement prediction.
📊 Note:
All economic and FX data is sourced from TradingView’s built-in datasets (ECONOMICS and FX_IDC). Data availability may vary depending on your plan.
