Multi-Exchange Volume (30 Tickers) by kurtsmock + BV + rVolauthor: kurtsmock
Fully Customizable ticker set. Up to 30 Tickers. Bitcoin set as default.
-- IMPORTANT NOTE: --
30 Exchanges are a lot. It can take a while to load. You can fully customize this indicator to your liking. Here's how:
1. Load indicator
2. Open Settings
3. Uncheck the switch box for exchanges you want unincluded
4. At the bottom of the settings menu click "Defaults" and hit "Save as Default"
5. To turn them all back on, hit "Reset Settings" in that same "Defaults" menu and click "Save as Default" again.
Also, you don't have to use this with Bitcoin. This works with any asset, just change the ticker in the settings.
There's a lot going on with this indicator so the following is descriptions and instructions to help you better understand what's going on here. Thanks!
Goal:
- To provide a mechanism for assets on multiple exchanges to have their volume evaluated together
Edge:
- Having better and more complete volume information
Notes:
- The Default Exchanges for this indicator are highest volume bitcoin exchanges, but may contain "fake volume"
- Indicator is set for Bitcoin by default. However, you can change the tickers to reflect any asset you want
////// rVol //////
Goal:
- To understand how much volume is being executed relative to the same candle on previous days/periods
Edge:
- Higher rVol implies higher volatility and market interest.
- High rVol = higher than average volume . Markets move on volume so higher than average volume indicates increased market activity/volatility
- rVol is an indirect measure of active or anticipated volatility
Definitions:
- rVol: The volume of a period compared to the Average Volume of that same period in past sessions
- Important to note it does NOT add up the last 10 (default) candles, but rather the last 10 candles at session intervals.
- Example:
-- On a Tuesday, 1h chart it will add up the last ten Tuesday, 9:00 am candles, not including the current, active candle.
-- It then averages those lookback candles.
-- It then plots the percentage relationship between the most recent candle and the average of the lookback candles
-- Avg Vol of Lookback candles = 5000,
-- Volume of most recent candle = 4000: Output = rVol = 80:
-- Volume of most recent candle was 80% of the average volume in the 9 am time period of the last ten Tuesdays in the 9 am, 1h period
Notes:
- rVol does not add current candle volume into lookback sum. So, you set lookback to be: (not including the current day)
- rVol is on a switch. So, if you want to see rVol instead of volume, hit the switch in the settings
- If you want to see both, load 2 instances of the indicator.
////// Better-er Volume //////
Goal:
To Identify:
- When a candle closes at the highest volume * range relative to the lookback period and close > open
- When a candle closes at the highest volume * range relative to the lookback period and close < open
- When a candle closes at the highest volume / price relative to the lookback period
Edge:
- Identifies beginnings of price expansion, climax of price expansion, breakouts, pivots, and take profit points on the volume chart
Notes:
- Based generally on Barry Taylor's "Better Volume" indicator and ideas from Pascal Willain's book "Value in Time."
- Better-er Volume rules are applied to both Total Volume or rVol.
-- When rVol is displayed Better-er Volume is applied to rVol
-- When Total Volume is displayed Better-er Volume is applied to Total Volume
// Plot Key: //
Green Triangle Up = Often marks the beginning and/or end of price expansion to the upside
Red Triangle Up = Often marks the beginning and/or end of price expansion to the downside
Yellow Square = High Volume but Tight Range. Implies a Battle of Bulls and Bears. High Liquidity area. Provided Liquidity is not enough to move price. Thick Limit Order Book.
Purple Triangle Up or Down = Implies high market participation. Typically at the end of expansion when very significant s/r is hit
category: volume Volatility
tags: Volume rVol relativevolume Bitcoin cryptocurrency bettervolume
Many More Volume Indicators Coming Out Soon!
Cari dalam skrip untuk "liquidity"
Arrow's Flexible MA Cross Strategy [API Ready]Arrow's High-Frequency MA Cross Scalper By: ยฉ ArrowTrade
=== OVERVIEW ===
This strategy is engineered for high-frequency trading and scalping opportunities, utilizing rapid Moving Average (MA) crossovers coupled with essential filters and precise risk management tools. Developed by ArrowTrade, it's specifically designed for seamless integration with automated trading systems via API (webhooks, etc.), enabling swift execution of short-term signals.
While adaptable, its core design favors capturing small, quick price movements typical of scalping approaches.
=== CORE LOGIC ===
Entry Signal: Primary entries are triggered by the crossover/crossunder of a Fast MA and a Slow MA. Configurable MA types (EMA, SMA, WMA, HMA, VWMA) and periods allow fine-tuning signal sensitivity for different market rhythms.
Trend Filter (Optional): A longer-term MA acts as a regime filter. When enabled, entries are only permitted in the direction of this broader trend, aiming to avoid counter-trend scalps in strongly directional markets.
Confirmation Filters (Optional):
ATR Volatility Filter: Designed to pause entries during extremely flat or "dead" markets where volatility drops below a dynamic threshold (based on average ATR). This helps prevent whipsaws in non-trending, low-energy conditions.
Volume Filter: Validates entry signals by requiring a minimum level of market participation (volume compared to its moving average). This helps avoid entries based on low-liquidity spikes or insignificant price action.
=== RISK MANAGEMENT SUITE (Crucial for Scalping) ===
Initial Volatility Stop: An ATR-based initial stop provides an objective starting point for risk definition on each trade, adapting to recent volatility. Tighter multipliers are often preferred for scalping.
ATR Trailing Stop: Essential for dynamic markets. Trails the stop loss behind favorable price action, aiming to protect profits on successful scalps while cutting losses relatively quickly if the move reverses. Fine-tune the ATR period and multiplier for desired responsiveness.
Break-Even Stop (Optional): Can be configured to automatically move the stop to entry (plus buffer) once TP1 is hit or price travels a specific ATR distance. Useful for quickly neutralizing risk on a trade that has shown initial promise.
Dual Take Profit Levels:
TP1: Designed for rapid, partial profit-taking. Set a tight percentage target and define the portion (%) of the position to close (e.g., 50%). This secures initial gains quickly, a key element in many scalping systems.
TP2: Target for the remaining portion of the position, aiming for a slightly larger move if the initial momentum continues.
Fixed Quantity Sizing: Enables precise control over position size per trade, crucial for consistent risk application in high-frequency environments and straightforward API command generation.
=== INTENDED USE: HIGH-FREQUENCY & API AUTOMATION ===
This strategy is purpose-built for traders leveraging API automation for high-frequency scalping.
Parameter Tuning for Scalping: Achieve higher signal frequency by using:
Shorter Fast MA Period and Slow MA Period.
Faster MA Types like EMA or HMA.
Tighter Initial Stop ATR Multiplier and Trailing ATR Multiplier.
Smaller TP1 Target (%) and potentially TP2 Target (%).
Careful adjustment of ATR Volatility Filter and Volume Filter thresholds to balance signal frequency with noise reduction.
API Integration: The strategy's clear entry (MA Cross + Filters OK) and exit logic (SL Hit, TP Limit Hit) generates unambiguous signals. Use TradingView alerts (alertcondition or native strategy alerts) configured with webhook URLs to trigger your external trading bot (e.g., 3Commas, PineConnector, custom solutions) for near-instantaneous order execution. The fixed quantity simplifies the payload sent to your API endpoint.
=== RISK MANAGEMENT FOR SCALPING ===
High-frequency trading requires extremely disciplined risk management:
Position Size (qtyValue): CRITICAL. Calculate this based on a small, fixed percentage of your capital risked per trade (e.g., 0.25% - 1%) relative to your initial stop distance. Due to the high number of trades, even small consistent losses can accumulate rapidly if sizing is too large.
Stop Loss: NON-NEGOTIABLE. Always use stops. Scalping often benefits from tighter initial stops combined with an aggressive trailing stop to protect small gains.
Commissions & Slippage: Account for these meticulously in settings and backtests. High trade frequency means these costs significantly impact net profitability. Ensure commission_value and slippage inputs reflect your actual trading environment.
Overfitting: Be highly aware of overfitting during optimization, especially with many parameters. Validate results on out-of-sample data or through forward testing.
=== CUSTOMIZATION & OPTIMIZATION ===
Explore different Signal Source options (e.g., hlc3) for potentially smoother MA signals.
Systematically optimize MA lengths, filter parameters, ATR multipliers, and TP percentages using TradingView's Strategy Tester, focusing on metrics like Profit Factor, Sharpe Ratio (or Sortino), and Net Profit while keeping Max Drawdown within acceptable limits.
Test different combinations of the optional filters. Sometimes fewer filters can perform better.
=== DISCLAIMER ===
Trading involves substantial risk. Past performance is not indicative of future results.
This script is provided for educational and informational purposes only and does not constitute financial advice.
ยฉ ArrowTrade makes no guarantees regarding the performance or profitability of this strategy.
You are solely responsible for all trading decisions and risk management. Always perform thorough testing and validation before deploying any strategy with real capital. Adjust all settings, especially risk parameters, to your specific needs.
ICT Core Macro Times (EST)ICT Core Macro Times where there's reversals and liquidity lies. Shows deadzones as well.
Likidite Avฤฑ + Dรถnรผล Stratejisi (TP/SL + Zaman Bazlฤฑ)Checks if the previous top/bottom is pinned.
Then it generates a signal as soon as a sharp and opposite candle comes.
It looks for a reactionary reversal, not a pullback.
It gives fewer but more meaningful signals.
โ
Previous top/bottom pin (liquidity hunt)
โ
Immediately followed by a strong reversal candle
โ
And there is a signal system that gives these conditions instantly, together with the candle closing.
Time-Based Fair Value Gaps (FVG) with Inversions (iFVG)The Time-Based Fair Value Gaps (FVG) with Inversions (iFVG) (ICT/SMT) is a specialized tool for ICT traders, pinpointing Fair Value Gaps (FVGs) within customizable 10-minute windows each hour (:00โ:10, :10โ:20, :20โ:30, :30โ:40, :40โ:50, :50โ:60).
Optimized for 10 minute charts or lower, this indicator identifies bullish and bearish FVGs, tracks their mitigation to form inverted FVGs (iFVGs) as key support/resistance zones, and generates retest signals with "Close" or "Wick" options.
With toggleable ATR filtering, optional FVG labels, mitigation removal, and alerts for new FVGs and signals, this indicator delivers precision for ICT strategies.
A timeframe warning ensures users stay on lower timeframes (<1 hour) for accurate filtering, making it ideal for targeting macro timeframes and hourly transitions.
Settings Description:
Show Last (disp_num): Sets the number of recent inverted FVGs (iFVGs) to display (1โ100, default: 5). Lower values reduce chart clutter, while higher values show more historical zones.
Time Window Checkboxes (enable_00_10, enable_10_20, etc.): Six toggles to enable/disable FVG detection in each 10-minute window (:00โ:10, :10โ:20, :20โ:30, :30โ:40, :40โ:50, :50โ:60). All default to enabled, allowing FVGs across the hour. Disable specific windows to focus on key ICT periods (e.g., :00โ:10 for hourly opens).
Signal Preference (signal_pref): Choose "Close" (default) or "Wick" for iFVG retest signals. "Close" requires the candle body to confirm the retest, while "Wick" uses highs/lows, offering earlier but potentially noisier signals.
Use ATR Filter (use_atr): Enables/disables ATR-based size filtering for FVGs (default: true). When enabled, only FVGs larger than ATR ร Multiplier are shown, reducing noise.
ATR Multiplier (atr_multi): Sets the ATR threshold for FVG size (0โโ, default: 0.25). Higher values filter for larger gaps; setting to 0 uses the average bar range, making the filter very permissive.
Remove Mitigated FVGs (remove_mitigated): Removes FVGs and iFVGs when price fully closes through them (default: true), aligning with ICTโs principle that mitigated gaps lose relevance.
Show FVG Labels (show_labels): Displays โBull FVGโ or โBear FVGโ labels above/below gaps (default: true). Disable to reduce chart clutter.
Colors (bull_color, bear_color, midline_color): Customize colors for bullish FVGs (green), bearish FVGs (red), and midlines (gray). Adjust transparency for visibility.
Recommendations for ICT Traders
To maximize the indicatorโs effectiveness within ICT concepts, use it on 1โ5 minute charts during macro timeframes like the New York Kill Zone (7:00โ11:00 AM EST) or London Kill Zone (2:00โ5:00 AM EST), where institutional order flow often creates significant FVGs. Focus on the :00โ:10 and :50โ:60 windows by enabling only these checkboxes , as they capture hourly opens and closes, key for ICT setups like Judas swings or liquidity grabs.
Keep ATR filtering enabled with a multiplier of 0.25โ0.5 to prioritize impactful gaps, but disable it on lower timeframes (e.g., 1-minute) for more FVGs during high-volatility periods.
Enable mitigation removal to declutter the chart, reflecting ICTโs view that filled FVGs are less relevant unless inverted.
Use "Close" signal preference for conservative retest confirmation, switching to "Wick" for faster entries in aggressive setups.
Set alerts for โBullish FVG Detected,โ โBearish FVG Detected,โ โBullish Signal,โ and โBearish Signalโ to catch real-time opportunities.
Avoid timeframes โฅ1 hour, as the minute-based filter may be unreliable, and heed the warning label to stay on lower timeframes for precision.
ICT Killzones & PivotsPivots and Killzones Indicator
Introduction
The Pivots and Killzones Indicator is a valuable tool for traders utilizing the Inner Circle Trader approach. By incorporating ICT killzones and pivot points, this indicator provides insights into potential market turning points, helping traders make informed decisions.
Whether you are new to trading or an experienced ICT trader, this indicator can improve your understanding of market dynamics and support your trading strategy.
Features
ICT Killzones: The indicator highlights Inner Circle Trader's killzones, specific timeframes known for increased market liquidity, which are crucial for identifying potential reversals and turning points.
Pivot Points: The indicator displays pivot points, which are essential support and resistance levels derived from historical price data. These levels assist in gauging potential price reversals and trend changes.
Customization: Customize the indicator settings to match your trading style. Adjust colors, timeframes, and other parameters to align with your preferences.
User-Friendly Interface: Designed with a clean and user-friendly interface, this indicator is accessible to traders of all skill levels.
Real-Time Updates: The indicator offers real-time updates, ensuring you have the most current market information at your fingertips.
github.com
MM Smart Visualizer V2๐ Indicator Description for TradingView:
MM Smart Visualizer V2 โ Limited Free Version
This indicator is designed for traders who want to understand Market Maker behavior (MM) and make smarter trading decisions using a multi-layered visual analysis.
๐ Features:
๐ Multi-timeframe trend detection (4H, 1H, 15m, 5m) โ automatically identifies trend direction based on SMA 50/200
๐ก Smart Sentiment Analysis โ detects strong bullish/bearish candles based on volume and SMA positioning, shown with visual arrows
๐จ Fakeout Detection โ identifies liquidity grabs and false breakouts above or below previous swing points
๐ต๐ด 4H Support & Resistance Levels โ draws automatic key S/R lines from higher timeframe
๐ฆ MM Info Panel โ displays trend direction, volume strength, price location within range, sentiment, and fakeout signals in one clean box
โ
Ideal for scalpers, intraday, and swing traders looking to catch clean, confirmed entries without noise.
๐ฃ This version is free for a limited time only.
The indicator will soon become invite-only for traders who support the project.
๐ Enjoy the free access while it lasts. If you like it, follow for updates and future premium tools.
#MMVisualizer #SmartTrading #MarketMakerTools #FakeoutDetector #VolumePower #XAUUSD #PineScript #ScalpingTools
ChopFlow ATR Scalp StrategyA lean, high-velocity scalp framework for NQ and other futures that blends trend clarity, volume confirmation, and adaptive exits to give you precise, actionable signalsโno cluttered bands or lagging indicators.
โธป
๐ Overview
This strategy locks onto rapid intraday moves by:
โข Filtering for directional momentum with the Choppiness Index (CI)
โข Confirming conviction via On-Balance Volume (OBV) against its moving average
โข Automatically sizing stops and targets with a multiple of the Average True Range (ATR)
Itโs designed for scalp traders who need clean, timely entries without wading through choppy noise.
โธป
โ๏ธ Key Features & Inputs
1. ATR Length & Multiplier
โข Controls exit distances based on current volatility.
2. Choppiness Length & Threshold
โข Measures trend strength; only fires when the market isnโt โstuck in the mud.โ
3. OBV SMA Length
โข Smoothes volume flow to confirm genuine buying or selling pressure.
4. Custom Session Hours
โข Avoid overnight gaps or low-liquidity periods.
All inputs are exposed for rapid tuning to your preferred scalp cadence.
๐ How It Works
1. Long Entry triggers when:
โข CI < threshold (strong trend)
โข OBV > its SMA (positive volume flow)
โข Youโre within the defined session
2. Short Entry mirrors the above (CI < threshold, OBV < SMA)
3. Exit uses ATR ร multiplier for both stop-loss and take-profit
โธป
๐ฏ Usage Tips
โข Start with defaults (ATR 14, multiplier 1.5; CI 14, threshold 60; OBV SMA 10).
โข Monitor signal frequency, then tighten/loosen CI or OBV look-back as needed.
โข Pair with a fast MA crossover or price-action trigger if you want even sharper timing.
โข Backtest across different sessions (early open vs. power hours) to find your edge.
โธป
โ ๏ธ Disclaimer
This script is provided โas-isโ for educational and research purposes. Always paper-trade any new setup extensively before deploying live capital, and adjust risk parameters to your personal tolerance.
โธป
Elevate your scalp game with ChopFlow ATRโwhere trend, volume, and volatility converge for clear, confident entries. Happy scalping!
[blackcat] L3 Ichimoku FusionCOMPREHENSIVE ANALYSIS OF THE L3 ICHIMOKU FUSION INDICATOR
๐ Overview:
The L3 Ichimoku Fusion is a sophisticated multi-layered technical analysis tool integrating classic Japanese market forecasting techniques with enhanced dynamic elements designed specifically for identifying potential turning points in financial instruments' pricing action.
Key Purpose:
To provide traders with an intuitive yet powerful framework combining established ichimoku principles while incorporating additional validation checkpoints derived from cross-timeframe convergence studies.
THEORETICAL FOUNDATION EXPLAINED
๐ Conceptual Background:
:
โข Conversion & Base Lines tracking intermediate term averages
โข Lagging Span providing delayed feedback mechanism
โข Lead Spans projecting future equilibrium states
:
โข Adaptive parameter scaling options
โข Automated labeling system for critical junctures
โข Real-time alert infrastructure enabling immediate response capability
PARAMETER CONFIGURATION GUIDE
โ๏ธ Input Parameters Explained In Detail:
Regional Setting Selection:**
โ Oriental Configuration: Standardized approach emphasizing slower oscillation cycles
โ Occidental Variation: Optimized settings reducing lag characteristics typical of original methodology
Multiplier Adjustment Functionality:**
โ Allows fine-graining oscillator responsiveness without altering core relationship dynamics
โ Enables adaptation to various instrument volatility profiles efficiently
Displacement Value Control:**
โ Controls lead/lag offset positioning relative to current prices
โ Provides flexibility in adjusting visual representation alignment preferences
DYNAMIC CALCULATION PROCESSES
๐ป Algorithmic Foundation:
:
Utilizes highest/lowest extremes over specified lookback windows
Produces more responsive conversions compared to simple MAs
:
โ Confirms directional bias across multiple independent criteria
โ Ensures higher probability outcomes reduce random noise influence
:
โพ Creates persistent annotations documenting significant events
๐ Handles complex state transitions maintaining historical record integrity
VISUALIZATION COMPONENTS OVERVIEW
๐จ Display Architecture Details:
:
โ Solid colored trendlines representing conversion/base relationships
โ Fill effect overlay differentiating expansion/compression phases
โ Offset spans positioned according to calculated displacement values
:
โ Green shading indicates positive configuration scenarios
โ Red filling highlights negative arrangement situations
โณ Orange transition areas mark transitional periods requiring caution
:
โ๏ธ LE: Long Entry opportunity confirmed
โ SE: Short Setup validated
โ XL/XS: Position closure triggers active
โ RL/RS: Potential re-entry chances emerging
STRATEGIC APPLICATION FRAMEWORK
๐ Practical Deployment Guidelines:
Initial Integration Phase:
Select appropriate timeframe matching trading horizon preference
Configure input parameters aligning with target asset behavior traits
Test thoroughly under simulated conditions prior to live usage
Active Monitoring Procedures:
โข Regular observation of cloud formation evolution
โข Tracking label placements against actual price movements
โข Noting pattern development leading up to signaled entry/exit moments
Decision Making Process Flowchart:
โ Identify clear breakout/crossover events exceeding confirmation thresholds
โ Evaluate contextual factors supporting/rejecting indicated direction
โ Execute trades only after achieving required number of confirming inputs
PERFORMANCE OPTIMIZATION TECHNIQUES
๐ Refinement Strategies:
Calibration Optimization Approach:
โ Start testing with default suggested configurations
โ Gradually adjust individual components observing outcome changes
โ Document findings systematically building personalized version profile
Context Adaptability Methods:
โ Add supplementary indicators enhancing overall reliability
โ Remove unnecessary complexity layers if causing confusion
โจ Incorporate custom rules adapting to specific security behaviors
Efficiency Improvement Tactics:
๐ง Streamline redundant processing routines where possible
โป๏ธ Leverage shared data streams whenever feasible
โก Optimize refresh frequencies balancing update speed vs computational load
RISK MITIGATION PROTOCOLS
๐ก๏ธ Safety Measures Implementation Guide:
Position Sizing Principles:
โ
Never exceed preset maximum exposure limits defined by risk tolerance
ยฑ Scale positions proportionally per account size/market capitalization
ร Include slippage allowances within planning stages accounting for liquidity variations
Validation Requirements Hierarchy:
โ Verify signals meet minimum number of concurrent validations
โ Ignore isolated occurrences lacking adequate evidence backing
โถ Look for convergent evidence strengthening conviction level
Emergency Response Planning:
โฉ Establish predefined exit strategies including trailing stops mechanisms
๐ Plan worst-case scenario responses ahead avoiding panic reactions
โ Maintain contingency plans addressing unexpected adverse developments
USER EXPERIENCE ENHANCEMENT FEATURES
๐ Additional Utility Functions:
Alert System Infrastructure:
โ Automatic notifications delivered directly to user devices
โ Message content customized explaining triggered condition specifics
โ Timing optimization ensuring minimal missed opportunities due to latency issues
Historical Review Capability:
โ Ability to analyze past performance retrospectively
โ Assess effectiveness across varying market regimes objectively
โ Generate statistics measuring success/failure rates quantitatively
Community Collaboration Support:
โช Share personal optimizations benefiting wider trader community
โ Exchange experiences improving collective understanding base
โ๏ธ Provide constructive feedback aiding ongoing refinement process
CONCLUSION AND NEXT STEPS
This comprehensive guide serves as your roadmap toward mastering the capabilities offered by the L3 Ichimoku Fusion indicator effectively. Success relies heavily on disciplined application combined with continuous learning and adjustment processes throughout implementation journey.
Wishing you prosperous trading endeavors! ๐๐ฐ
Dual-Phase Trend Regime Oscillator (Zeiierman)โ Overview
Trend Regime: Dual-Phase Oscillator (Zeiierman) is a volatility-sensitive trend classification tool that dynamically switches between two oscillators, one optimized for low volatility, the other for high volatility.
By analyzing standard deviation-based volatility states and applying correlation-derived oscillators, this indicator reveals not only whether the market is trending but also what kind of trend regime it is in โBullish or Bearish โand how that regime reacts to market volatility.
โ Its Uniqueness
Most trend indicators assume a static market environment; they don't adjust their logic when the underlying volatility shifts. That often leads to false signals in choppy conditions or late entries in trending phases.
Trend Regime: Dual-Phase Oscillator solves this by introducing volatility-aware adaptability. It switches between a slow, stable oscillator in calm markets and a fast, reactive oscillator in volatile ones, ensuring the right sensitivity at the right time.
โ How It Works
โช Volatility State Engine
Calculates returns-based volatility using standard deviation of price change
Smooths the current volatility with a moving average
Builds a volatility history window and performs median clustering to determine typical "Low" and "High" volatility zones
Dynamically assigns the chart to one of two internal volatility regimes: Low or High
โช Dual Oscillators
In Low Volatility, it uses a Slow Trend Oscillator (longer lookback, smoother)
In High Volatility, it switches to a Fast Trend Oscillator (shorter lookback, responsive)
Both oscillators use price-time correlation as a measure of directional strength
The output is normalized between 0 and 1, allowing for consistent interpretation
โช Trend Regime Classification
The active oscillator is compared to a neutral threshold (0.5)
If above: Bullish Regime, if below: Bearish Regime, else: Neutral
The background and markers update to reflect regime changes visually
Triangle markers highlight bullish/bearish regime shifts
โ How to Use
โช Identify Current Trend Regime
Use the background color and chart table to immediately recognize whether the market is trending up or down.
โช Trade Regime Shifts
Use triangle markers (โฒ / โผ) to spot fresh regime entries, which are ideal for confirming breakouts within trends.
โช Pullback Trading
Look for pullbacks when the trend is in a stable condition and the slow oscillator remains consistently near the upper or lower threshold. Watch for moments when the fast oscillator retraces back toward the midline, or slightly above/below it โ this often signals a potential pullback entry in the direction of the prevailing trend.
โ Settings Explained
Length (Slow Trend Oscillator) โ Used in calm conditions. Longer = smoother signals
Length (Fast Trend Oscillator) โ Used in volatile conditions. Shorter = more responsive
Volatility Refit Interval โ Controls how often the system recalculates Low/High volatility levels
Current Volatility Period โ Lookback used for immediate volatility measurement
Volatility Smoothing Length โ Applies an SMA to the raw volatility to reduce noise
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Dskyz (DAFE) Aurora Divergence โ Quant Master Dskyz (DAFE) Aurora Divergence โ Quant Master
Introducing the Dskyz (DAFE) Aurora Divergence โ Quant Master , a strategy thatโs your secret weapon for mastering futures markets like MNQ, NQ, MES, and ES. Born from the legendary Aurora Divergence indicator, this fully automated system transforms raw divergence signals into a quant-grade trading machine, blending precision, risk management, and cyberpunk DAFE visuals that make your charts glow like a neon skyline. Crafted with care and driven by community passion, this strategy stands out in a sea of generic scripts, offering traders a unique edge to outsmart institutional traps and navigate volatile markets.
The Aurora Divergence indicator was a cult favorite for spotting price-OBV divergences with its aqua and fuchsia orbs, but traders craved a system to act on those signals with discipline and automation. This strategy delivers, layering advanced filters (z-score, ATR, multi-timeframe, session), dynamic risk controls (kill switches, adaptive stops/TPs), and a real-time dashboard to turn insights into profits. Whether youโre a newbie dipping into futures or a pro hunting reversals, this stratโs got your back with a beginner guide, alerts, and visuals that make trading feel like a sci-fi mission. Letโs dive into every detail and see why this original DAFE creation is a must-have.
Why Traders Need This Strategy
Futures markets are a battlefieldโfast-paced, volatile, and riddled with institutional games that can wipe out undisciplined traders. From the April 28, 2025 NQ 1k-point drop to sneaky ES slippage, the stakes are high. Meanwhile, platforms are flooded with unoriginal, low-effort scripts that promise the moon but deliver noise. The Aurora Divergence โ Quant Master rises above, offering:
Unmatched Originality: A bespoke system built from the ground up, with custom divergence logic, DAFE visuals, and quant filters that set it apart from copycat clutter.
Automation with Precision: Executes trades on divergence signals, eliminating emotional slip-ups and ensuring consistency, even in chaotic sessions.
Quant-Grade Filters: Z-score, ATR, multi-timeframe, and session checks filter out noise, targeting high-probability reversals.
Robust Risk Management: Daily loss and rolling drawdown kill switches, plus ATR-based stops/TPs, protect your capital like a fortress.
Stunning DAFE Visuals: Aqua/fuchsia orbs, aurora bands, and a glowing dashboard make signals intuitive and charts a work of art.
Community-Driven: Evolved from trader feedback, this stratโs a labor of love, not a recycled knockoff.
Traders need this because itโs a complete, original system that blends accessibility, sophistication, and style. Itโs your edge to trade smarter, not harder, in a market full of traps and imitators.
1. Divergence Detection (Core Signal Logic)
The strategyโs core is its ability to detect bullish and bearish divergences between price and On-Balance Volume (OBV), pinpointing reversals with surgical accuracy.
How It Works:
Price Slope: Uses linear regression over a lookback (default: 9 bars) to measure price momentum (priceSlope).
OBV Slope: OBV tracks volume flow (+volume if price rises, -volume if falls), with its slope calculated similarly (obvSlope).
Bullish Divergence: Price slope negative (falling), OBV slope positive (rising), and price above 50-bar SMA (trend_ma).
Bearish Divergence: Price slope positive (rising), OBV slope negative (falling), and price below 50-bar SMA.
Smoothing: Requires two consecutive divergence bars (bullDiv2, bearDiv2) to confirm signals, reducing false positives.
Strength: Divergence intensity (divStrength = |priceSlope * obvSlope| * sensitivity) is normalized (0โ1, divStrengthNorm) for visuals.
Why Itโs Brilliant:
- Divergences catch hidden momentum shifts, often exploited by institutions, giving you an edge on reversals.
- The 50-bar SMA filter aligns signals with the broader trend, avoiding choppy markets.
- Adjustable lookback (min: 3) and sensitivity (default: 1.0) let you tune for different instruments or timeframes.
2. Filters for Precision
Four advanced filters ensure signals are high-probability and market-aligned, cutting through the noise of volatile futures.
Z-Score Filter:
Logic: Calculates z-score ((close - SMA) / stdev) over a lookback (default: 50 bars). Blocks entries if |z-score| > threshold (default: 1.5) unless disabled (useZFilter = false).
Impact: Avoids trades during extreme price moves (e.g., blow-off tops), keeping you in statistically safe zones.
ATR Percentile Volatility Filter:
Logic: Tracks 14-bar ATR in a 100-bar window (default). Requires current ATR > 80th percentile (percATR) to trade (tradeOk).
Impact: Ensures sufficient volatility for meaningful moves, filtering out low-volume chop.
Multi-Timeframe (HTF) Trend Filter:
Logic: Uses a 50-bar SMA on a higher timeframe (default: 60min). Longs require price > HTF MA (bullTrendOK), shorts < HTF MA (bearTrendOK).
Impact: Aligns trades with the bigger trend, reducing counter-trend losses.
US Session Filter:
Logic: Restricts trading to 9:30amโ4:00pm ET (default: enabled, useSession = true) using America/New_York timezone.
Impact: Focuses on high-liquidity hours, avoiding overnight spreads and erratic moves.
Evolution:
- These filters create a robust signal pipeline, ensuring trades are timed for optimal conditions.
- Customizable inputs (e.g., zThreshold, atrPercentile) let traders adapt to their style without compromising quality.
3. Risk Management
The strategyโs risk controls are a masterclass in balancing aggression and safety, protecting capital in volatile markets.
Daily Loss Kill Switch:
Logic: Tracks daily loss (dayStartEquity - strategy.equity). Halts trading if loss โฅ $300 (default) and enabled (killSwitch = true, killSwitchActive).
Impact: Caps daily downside, crucial during events like April 27, 2025 ES slippage.
Rolling Drawdown Kill Switch:
Logic: Monitors drawdown (rollingPeak - strategy.equity) over 100 bars (default). Stops trading if > $1000 (rollingKill).
Impact: Prevents prolonged losing streaks, preserving capital for better setups.
Dynamic Stop-Loss and Take-Profit:
Logic: Stops = entry ยฑ ATR * multiplier (default: 1.0x, stopDist). TPs = entry ยฑ ATR * 1.5x (profitDist). Longs: stop below, TP above; shorts: vice versa.
Impact: Adapts to volatility, keeping stops tight but realistic, with TPs targeting 1.5:1 reward/risk.
Max Bars in Trade:
Logic: Closes trades after 8 bars (default) if not already exited.
Impact: Frees capital from stagnant trades, maintaining efficiency.
Kill Switch Buffer Dashboard:
Logic: Shows smallest buffer ($300 - daily loss or $1000 - rolling DD). Displays 0 (red) if kill switch active, else buffer (green).
Impact: Real-time risk visibility, letting traders adjust dynamically.
Why Itโs Brilliant:
- Kill switches and ATR-based exits create a safety net, rare in generic scripts.
- Customizable risk inputs (maxDailyLoss, dynamicStopMult) suit different account sizes.
- Buffer metric empowers disciplined trading, a DAFE signature.
4. Trade Entry and Exit Logic
The entry/exit rules are precise, filtered, and adaptive, ensuring trades are deliberate and profitable.
Entry Conditions:
Long Entry: bullDiv2, cooldown passed (canSignal), ATR filter passed (tradeOk), in US session (inSession), no kill switches (not killSwitchActive, not rollingKill), z-score OK (zOk), HTF trend bullish (bullTrendOK), no existing long (lastDirection != 1, position_size <= 0). Closes shorts first.
Short Entry: Same, but for bearDiv2, bearTrendOK, no long (lastDirection != -1, position_size >= 0). Closes longs first.
Adaptive Cooldown: Default 2 bars (cooldownBars). Doubles (up to 10) after a losing trade, resets after wins (dynamicCooldown).
Exit Conditions:
Stop-Loss/Take-Profit: Set per trade (ATR-based). Exits on stop/TP hits.
Other Exits: Closes if maxBarsInTrade reached, ATR filter fails, or kill switch activates.
Position Management: Ensures no conflicting positions, closing opposites before new entries.
Built To Be Reliable and Consistent:
- Multi-filtered entries minimize false signals, a stark contrast to basic scripts.
- Adaptive cooldown prevents overtrading, especially after losses.
- Clean position handling ensures smooth execution, even in fast markets.
5. DAFE Visuals
The visuals are a DAFE hallmark, blending function with clean flair to make signals intuitive and charts stunning.
Aurora Bands:
Display: Bands around price during divergences (bullish: below low, bearish: above high), sized by ATR * bandwidth (default: 0.5).
Colors: Aqua (bullish), fuchsia (bearish), with transparency tied to divStrengthNorm.
Purpose: Highlights divergence zones with a glowing, futuristic vibe.
Divergence Orbs:
Display: Large/small circles (aqua below for bullish, fuchsia above for bearish) when bullDiv2/bearDiv2 and canSignal. Labels show strength (0โ1).
Purpose: Pinpoints entries with eye-catching clarity.
Gradient Background:
Display: Green (bullish), red (bearish), or gray (neutral), 90โ95% transparent.
Purpose: Sets the market mood without clutter.
Strategy Plots:
- Stop/TP Lines: Red (stops), green (TPs) for active trades.
- HTF MA: Yellow line for trend context.
- Z-Score: Blue step-line (if enabled).
- Kill Switch Warning: Red background flash when active.
What Makes This Next-Level?:
- Visuals make complex signals (divergences, filters) instantly clear, even for beginners.
- DAFEโs unique aesthetic (orbs, bands) sets it apart from generic scripts, reinforcing originality.
- Functional plots (stops, TPs) enhance trade management.
6. Metrics Dashboard
The top-right dashboard (2x8 table) is your command center, delivering real-time insights.
Metrics:
Daily Loss ($): Current loss vs. dayโs start, red if > $300.
Rolling DD ($): Drawdown vs. 100-bar peak, red if > $1000.
ATR Threshold: Current percATR, green if ATR exceeds, red if not.
Z-Score: Current value, green if within threshold, red if not.
Signal: โBullish Divโ (aqua), โBearish Divโ (fuchsia), or โNoneโ (gray).
Action: โConsider Buyingโ/โConsider Sellingโ (signal color) or โWaitโ (gray).
Kill Switch Buffer ($): Smallest buffer to kill switch, green if > 0, red if 0.
Why This Is Important?:
- Consolidates critical data, making decisions effortless.
- Color-coded metrics guide beginners (e.g., green action = go).
- Buffer metric adds transparency, rare in off-the-shelf scripts.
7. Beginner Guide
Beginner Guide: Middle-right table (shown once on chart load), explains aqua orbs (bullish, buy) and fuchsia orbs (bearish, sell).
Key Features:
Futures-Optimized: Tailored for MNQ, NQ, MES, ES with point-value adjustments.
Highly Customizable: Inputs for lookback, sensitivity, filters, and risk settings.
Real-Time Insights: Dashboard and visuals update every bar.
Backtest-Ready: Fixed qty and tick calc for accurate historical testing.
User-Friendly: Guide, visuals, and dashboard make it accessible yet powerful.
Original Design: DAFEโs unique logic and visuals stand out from generic scripts.
How to Use
Add to Chart: Load on a 5min MNQ/ES chart in TradingView.
Configure Inputs: Adjust instrument, filters, or risk (defaults optimized for MNQ).
Monitor Dashboard: Watch signals, actions, and risk metrics (top-right).
Backtest: Run in strategy tester to evaluate performance.
Live Trade: Connect to a broker (e.g., Tradovate) for automation. Watch for slippage (e.g., April 27, 2025 ES issues).
Replay Test: Use bar replay (e.g., April 28, 2025 NQ drop) to test volatility handling.
Disclaimer
Trading futures involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Backtest results may not reflect live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred.
Backtesting:
Frame: 2023-09-20 - 2025-04-29
Fee Typical Range (per side, per contract)
CME Exchange $1.14 โ $1.20
Clearing $0.10 โ $0.30
NFA Regulatory $0.02
Firm/Broker Commis. $0.25 โ $0.80 (retail prop)
TOTAL $1.60 โ $2.30 per side
Round Turn: (enter+exit) = $3.20 โ $4.60 per contract
Final Notes
The Dskyz (DAFE) Aurora Divergence โ Quant Master isnโt just a strategyโitโs a movement. Crafted with originality and driven by community passion, it rises above the flood of generic scripts to deliver a system thatโs as powerful as it is beautiful. With its quant-grade logic, DAFE visuals, and robust risk controls, it empowers traders to tackle futures with confidence and style. Join the DAFE crew, light up your charts, and letโs outsmart the markets together!
(This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.)
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
Jedi Momentum & Reversal Scalp IndicatorQuick Breakdown:
This scalping strategy was designed to take advantage of price movements throughout the regular trading session in NQ futures on the 1min chart. I developed this to help hunt for trend setups and reversals. This strategy or indicator is applicable to any high liquidity market, and works best on the 1min or 2min charts. 3min and 5min chart will give fewer signals.
Markets are unpredictable and the NQ can be especially volatile. Recognizing that a market is in a state of chop or extreme volatility is important as a trader. This script will give false signals when the market is in a state of chop or extreme volatility. Avoid opens that do not have a clear directional move. Avoid low volume or slower periods of the regular trading session. Due to low volume and usually a tighter range, this script will most likely not work well during the overnight session. However, if patient, this indicator can help you find 1-3 A+ Setups during the RTH session.
This indicator uses the 9, 20, and 50 simple moving averages. (custom SMA's)
I take into consideration other indicators and key levels, then look for confluence with this strategy when hunting for setups.
Long and Shorts are inverted for this strategy.
Conditions and Considerations:
- Setup Signal 1: 9 crosses 20. This is an early warning signal that momentum or sentiment in the market could be changing and starting to move in the direction of the cross. During consolidation or high volatility, Setup 1 will give false signals. A strong Setup Signal 1, usually happens after a period of consolidation.
- Setup Signal 2: 9 crosses 50. This is the main signal that a long or short setup has begun. The background will change color to highlight a long or short setup and you will only see long Enter signals if the Setup is long. Setup 2 gives less false signals.
- Entry Signal 1: 20 crosses 50. You won't be able to enter at the cross level, but if the momentum is healthy, then entering with the next candle could be a good entry level. However, sometimes price moves in the direction of the Setup before the cross, so you may want to enter just before if structure is favorable. Furthermore, you may want to have a stop that goes just outside of the 9/50 cross, since immediately pulling back to that level would not be healthy for the setup.
**Note: Conditions for Entry Signals 2-4; are when price has pulled away from the moving averages and they are in order above or below price, then as price pulls back to the 9, 20, and 50 a long signal is created when the low of a candle gets close (custom buffers) to one of the moving averages. A short signal is created when the high of a candle gets close to one of the moving averages.
- Entry Signal 2: Pullback to 9 (custom buffer). Early in a healthy setup the first pullback is usually the smallest and can happen quickly and also more than once.
- Entry Signal 3: Pullback to 20 (custom buffer). Midway into or later in a setup price will pullback towards the 20. This is sometimes an early exhaustion sign. Pullbacks to the 20 are usually fewer than pullbacks to the 9. Sometimes the 9 and 20 begin to entwine before continuation. If this happens take note of the angle on the 50, if there is still a decent angle supporting the direction of the setup, then the setup is still valid.
- Entry Signal 4: Pullback to 50 (custom buffer). This is sometimes an exhaustion signal and should be traded with caution and a tight stop. If the 50 is broken early in a Setup, then the momentum is not strong in the direction of the Setup, and you should avoid that trade. If later in the Setup the 50 is broken in a flush, but only by a few points, then wait and see if price rebounds in direction of Setup. If later in the Setup the 50 is broken by more than 25pts, then the Setup is not valid anymore.
- Exit Signal: 9 cross the 50. When the 9 crosses the 50 in the opposite direction as the previous Setup, then that Setup is over.
*Note: Context Matters! High volatility and chop can give false signals. Donโt trade every Setup. Market should make a clear opening drive and/or breakout of a key level or consolidation zone. Donโt try to use Entry signals in the middle of a consolidation zone, a day of high volatility, or during a news release (CPI, NFP, FOMC, etc.). Confluence with other indicators (like CDV candles pullback to CDV moving averages the same as price pullbacks to an Entry Signal, or RSI divergence after price made an exhaustion move off an Entry Signal, etc.) and key levels (like previous dayโs OHLC, POC, VAH, VAL, etc.)
Momentum:
- 45* angle on moving averages can help identify strong momentum
- RSI/MACD should be in confluent zones as Setup (if long RSI should be above zero)
- Pullbacks always require patience=identify failure levels (15m/30m candle high/lows, OHLC, POC, VAH, VAL, etc.)
- RSI hidden divergence=strong momentum
- If strong momentum, then RSI divergence can give false signals
Reversal:
- Donโt try to fade strong momentum. Best to wait until Key Levels are reached.
- 3+ โpushesโ with RSI divergence=early reversal signal, but donโt enter before Signal 2
- If Initial Balance is extremely wide, take caution holding onto reversal Setups. Price could snap back as the market revisits key levels
- Remember; a reversal is a pullback, but not all pullbacks are reversals
Risk Management:
- Depending on volatility, I trade with a 1:1 or 2:1 profit:loss bracket. My stops are usually set at 25pts
- I always leave a runner at key levels or outside range
- When main target is hit=all stops move to inside break even
- Typically trail stops behind the 50
- Setups should move quickly=if price stalls and pulls away from break even, exit trade before full stop is hit
ES 1min moving average settings: 16, 34, 75
Mongoose Capital Trailing Entry ProMongoose Capital | Trailing Entry Pro
Built for professional traders and macro desks. This system dynamically trails price using ATR (Average True Range) logic, enabling disciplined breakout entries without chasing price.
Key features:
โข ATR-Based Dynamic Trail โ adapts to volatility in real-time.
โข Entry Buffer โ configurable distance to minimize false triggers.
โข TPO POC Anchoring โ optional filter to only allow entries if price is aligned with session auction bias.
โข Visual Trail Lines โ Green (Long trail) and Red (Short trail).
โข Real Trade Entry Markers โ Plots BUY/SELL labels for trade visualization.
Best combined with Mongoose Capitalโs auction theory frameworks (TPO Profile) for superior edge in volatile environments.
Recommended Use:
- Macro trend following
- Tactical breakout trading
- Liquidity hunt defense
This script is free and open-source. Built to institutional standards by Mongoose Capital.
[blackcat] L3 Dynamic CrossOVERVIEW
The L3 Dynamic Cross indicator is a powerful tool designed to assist traders in identifying potential buy and sell opportunities through the use of dynamic moving averages. This versatile script offers a wide range of customizable options, allowing users to tailor the moving averages to their specific needs and preferences. By providing clear visual cues and generating precise crossover signals, it helps traders make informed decisions about market trends and potential entry/exit points ๐๐น.
FEATURES
Multiple Moving Average Types:
Simple Moving Average (SMA): Provides a straightforward average of prices over a specified period.
Exponential Moving Average (EMA): Gives more weight to recent prices, making it responsive to new information.
Weighted Moving Average (WMA): Assigns weights to all prices within the look-back period, giving more importance to recent prices.
Volume Weighted Moving Average (VWMA): Incorporates volume data to provide a more accurate representation of price movements.
Smoothed Moving Average (SMMA): Averages out fluctuations to create a smoother trend line.
Double Exponential Moving Average (DEMA): Reduces lag by applying two layers of exponential smoothing.
Triple Exponential Moving Average (TEMA): Further reduces lag with three layers of exponential smoothing.
Hull Moving Average (HullMA): Combines weighted moving averages to minimize lag and noise.
Super Smoother Moving Average (SSMA): Uses a sophisticated algorithm to smooth out price data while preserving trend direction.
Zero-Lag Exponential Moving Average (ZEMA): Eliminates lag entirely by adjusting the calculation method.
Triangular Moving Average (TMA): Applies a double smoothing process to reduce volatility and enhance trend identification.
Customizable Parameters:
Length: Adjust the period for both fast and slow moving averages to match your trading style.
Source: Select different price sources such as close, open, high, or low for more nuanced analysis.
Visual Representation:
Fast MA: Displayed as a green line representing shorter-term trends.
Slow MA: Shown as a red line indicating longer-term trends.
Crossover Signals:
Generate buy ('BUY') and sell ('SELL') labels based on crossover events between the fast and slow moving averages ๐ท๏ธ.
Clear visual cues help traders quickly identify potential entry and exit points.
Alert Functionality:
Receive real-time notifications when crossover conditions are met, ensuring timely action ๐.
Customizable alert messages for personalized trading strategies.
Advanced Trade Management:
Support for pyramiding levels allows traders to manage multiple positions effectively.
Fine-tune your risk management by setting the number of allowed trades per signal.
HOW TO USE
Adding the Indicator:
Open your TradingView chart and go to the indicators list.
Search for L3 Dynamic Cross and add it to your chart.
Configuring Settings:
Choose your desired Moving Average Type from the dropdown menu.
Adjust the Fast MA Length and Slow MA Length according to your trading timeframe.
Select appropriate Price Sources for both fast and slow moving averages.
Monitoring Signals:
Observe the plotted lines on the chart to track short-term and long-term trends.
Look for buy and sell labels that indicate potential trade opportunities.
Setting Up Alerts:
Enable alerts based on crossover conditions to receive instant notifications.
Customize alert messages to suit your trading plan.
Managing Positions:
Utilize the pyramiding feature to handle multiple entries and exits efficiently.
Keep track of your position sizes relative to the defined pyramiding levels.
Combining with Other Tools:
Integrate this indicator with other technical analysis tools for confirmation.
Use additional filters like volume, RSI, or MACD to enhance decision-making accuracy.
LIMITATIONS
Market Conditions: The effectiveness of the indicator may vary in highly volatile or sideways markets. Be cautious during periods of low liquidity or sudden price spikes ๐ช๏ธ.
Parameter Sensitivity: Different moving average types and lengths can produce varying results. Experiment with settings to find what works best for your asset class and timeframe.
False Signals: Like any technical indicator, false signals can occur. Always confirm signals with other forms of analysis before executing trades.
NOTES
Historical Data: Ensure you have enough historical data loaded into your chart for accurate moving average calculations.
Backtesting: Thoroughly backtest the indicator on various assets and timeframes using demo accounts before deploying it in live trading environments ๐.
Customization: Feel free to adjust colors, line widths, and label styles to better fit your chart aesthetics and personal preferences.
EXAMPLE STRATEGIES
Trend Following: Use the indicator to ride trends by entering positions when the fast MA crosses above/below the slow MA and exiting when the opposite occurs.
Mean Reversion: Identify overbought/oversold conditions by combining the indicator with oscillators like RSI or Stochastic. Enter counter-trend positions when the moving averages diverge significantly from the mean.
Scalping: Apply tight moving average settings to capture small, quick profits in intraday trading. Combine with volume indicators to filter out weak signals.
Fractals + FVG By SHARKImbalance (IMB/FVG/Disbalance/Inefficiency)
An imbalance is an impulsive price movement accompanied by a lack of balance between buyers and sellers. Simply put, itโs a disbalance that creates inefficiency.
In simpler terms, it is a strong impulse where almost no volume was traded by one side (for example, in a bullish impulse, there was very little selling volume). This creates a gap or an inefficient zone that needs to be filled with liquidity โ and this is exactly what the market maker (or algorithm) does.
Using this indicator, you can make your work with inefficiencies much easier, as they will now be automatically highlighted on the chart.
Sessions by SHARK [Kyiv Time]Why Forex Sessions Matter
First of all, it is very convenient for a trader to structure their working hours. The best times to open positions are during the London Kill Zone (KZ) and New York Kill Zone (KZ). Based on what happens within each session, you can build your future analysis while considering the overall context.
We must understand that there are specific times of the day that are more or less volatile. Knowing this will help you determine when you should be looking for trade setups and when you should avoid them.
Trading outside of the Kill Zones can lead to holding positions for too long because market liquidity decreases, which in turn leads to lower volatility.
Overnight ES Strategy: CBC + Fractal + RSI + ATR FilterThis script is designed for overnight trading of the E-mini S&P 500 futures (ES) between 6 PM and 11 PM EST.
It combines multiple technical confluences to generate high-probability buy and sell signals, focusing on volatility-rich, low-liquidity evening sessions.
Key Features:
Candle Body Confluence (CBC) Approximation:
Identifies candles with small real bodies compared to total range, simulating consolidation zones where price is likely to reverse.
Williams Fractal Confirmation:
Detects local tops and bottoms based on 5-bar fractal reversal patterns, helping validate breakout or reversal points.
RSI Filter:
Ensures momentum is supportive โ buys only when RSI < 35 (oversold) and sells only when RSI > 65 (overbought).
ATR Volatility Filter:
Trades are only allowed if the Average True Range (ATR) exceeds a user-defined threshold, filtering out low-volatility, risky environments.
Time Session Control:
Signals are only generated during the user-defined evening session (default: 6 PM to 11 PM EST) to match market behavior.
Real-Time Alerts Enabled:
Alerts can be set for BUY or SELL conditions, enabling mobile notifications, emails, or pop-ups without constant chart monitoring.
Recommended Settings:
Chart Timeframe: 15-minute or 30-minute candles
Assets: ES Mini (ES1!), NQ Mini, or other CME futures
Session: New York Time (EST)
ATR Threshold: Adjust based on market conditions; 5.0 suggested starting point for ES Mini on 15m.
Important:
This script only plots signals, it does not auto-execute trades.
Always backtest and paper trade before using live capital.
Volatility can vary; consider adjusting RSI and ATR filters based on market environment.
Credits:
Script designed based on confluence of price action, momentum, reversal structure, and volatility filtering principles used by professional traders.
Inspired by Candle Body Confluence (CBC) theory and Williams fractal techniques.
Multi-Indicator Swing [TIAMATCRYPTO]This strategy uses a combination of seven powerful technical indicators to identify potential buy and sell signals for swing trading. By requiring confirmation from multiple indicators, the strategy aims to filter out false signals and capture meaningful price movements.
Indicators Used
EMA Crossover - Fast and slow exponential moving averages to identify trend direction
MACD - Momentum indicator showing the relationship between two moving averages
RSI - Measures speed and change of price movements to identify overbought/oversold conditions
Parabolic SAR - Identifies potential reversal points in price movement
Supertrend - Combines trend and volatility to generate clear buy/sell signals
ADX - Measures trend strength to filter out low-conviction signals
Liquidity Delta - Analyzes bid/ask volume imbalances to detect potential market direction
Usage Recommendations
Timeframe Selection: This strategy works best on 1-hour to daily timeframes for swing trading
Market Application: Most effective in trending markets with clear directional bias
Optimization: Test different indicator combinations to find what works best for specific markets
Risk Management: Consider adding stop-loss and take-profit levels based on your risk tolerance
Notes
The strategy uses a clean interface that displays only buy/sell signals for clearer chart analysis
An information panel shows active indicators and testing period
All calculations are performed even for disabled indicators but they won't affect signal generation
The backtesting period can be adjusted according to your analysis needs
This multi-indicator approach to swing trading aims to provide high-quality signals by requiring confirmation from multiple technical perspectives, potentially reducing false signals and improving overall trading results.
RSI Strength & Consolidation Zones (Zeiierman)โ Overview
RSI Strength & Consolidation Zones (Zeiierman) is a hybrid momentum and volatility visualization tool that blends enhanced RSI interpretation with ADX-driven consolidation detection. This indicator doesn't just show where RSI is trending โ it interprets how strong that trend is, when that strength changes, and where the market may be consolidating in anticipation of breakout movement.
Using a combination of Kalman-filtered RSI, custom-built DMI/ADX, and low-volatility zone recognition, it gives traders a dynamic RSI with strength-based coloring, while also highlighting consolidation zones to spot breakout opportunities.
โ Its uniqueness
Traditional RSI indicators lack context. They may show you when the market is overbought or oversold, but they wonโt tell you how strong that condition is, or whether itโs likely to result in continuation or consolidation.
This tool aims to solve that by introducing adaptive strength metrics and structural compression zones, allowing traders to anticipate when the market is likely preparing for a move.
โ How It Works
โช Enhanced RSI
Combines traditional RSI and a custom RSI implementation
Smooths both through a Kalman filter for trend direction
Final RSI line reflects smoothed consensus between manual and built-in RSI
Adds an RSI + Strength overlay to show when the directional conviction is increasing
โช ADX-Driven Strength Layer
Directional Movement Index (DMI) is calculated both manually and with built-in smoothing
The average ADX value is used to calculate a strength modifier
When ADX exceeds 20, RSI is dynamically enhanced or dampened to reflect directional force
Resulting visual: RSI appears stronger or weaker based on confirmed trend conditions
โช Consolidation Zone Detection
When ADX falls below 20, the indicator enters a consolidation zone state
Boxes are drawn dynamically to contain the price within these low-volatility structures
Once the price breaks out of the zone, the indicator plots a breakout signal (โฒ or โผ)
โช Breakouts
Breakout markers are placed at the first close outside the consolidation box
These signals serve as early indicators for potential trend continuation or reversal
โ How to Use
โช Confirm Momentum Strength
Use the RSI + Strength line to determine whether current momentum is backed by trend conviction. If strength expands alongside rising RSI, the move has confirmation.
โช Consolidations Zones
When RSI is around the midline, and a consolidation box appears, expect lower volatility and a range-bound market, followed by a breakout.
โช Use Breakout Signals for Entry
Look for โฒ or โผ markers as early triggers. These often coincide with volume expansions or structural breaks.
โ Settings Explained
RSI Length โ Number of bars used for RSI. Shorter = more sensitive.
DMI Length โ Used in both custom and built-in ADX/DI calculations.
ADX Smoothing โ Smooths the trend strength signal. Higher values = smoother strength detection.
Trend Confirmation (Filter Strength) โ Adjusts the responsiveness of the Kalman filter.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Signals2TradeSignals2Trade is a powerful indicator that combines a daily one-trade strategy with smart money liquidity zones. It automatically detects the first breakout of the day, sets entry, stop-loss, and take-profit based on your desired risk-reward ratio, and visually marks entry and exit points. Additionally, it identifies key supply and demand areas using pivot levels and highlights them as dynamic smart money blocks on the chart. Ideal for day traders, SMC traders, and anyone looking for structured setups without spending hours on analysis.
Anchored Darvas Box## ANCHORED DARVAS BOX
---
### OVERVIEW
**Anchored Darvas Box** lets you drop a single timestamp on your chart and build a Darvas-style consolidation zone forward from that exact candle. The indicator freezes the first user-defined number of bars to establish the range, verifies that price respects that range for another user-defined number of bars, then waits for the first decisive breakout. The resulting rectangle captures every tick of the accumulation phase and the exact moment of expansionโno manual drawing, complete timestamp precision.
---
### HISTORICAL BACKGROUND
Nicolas Darvasโs 1950s box theory tracked institutional accumulation by hand-drawing rectangles around tight price ranges. A trade was triggered only when price escaped the rectangle.
The anchored version preserves Darvasโs logic but pins the entire sequence to a user-chosen candle: perfect for analysing a market open, an earnings release, FOMC minute, or any other catalytic bar.
---
### ALGORITHM DETAIL
1. **ANCHOR BAR**
*You provide a timestamp via the settings panel.* The script waits until the chart reaches that bar and records its index as **startBar**.
2. **RANGE DEFINITION โ BARS 1-7**
โข `rangeHigh` = highest high of bars 1-7 plus optional tolerance.
โข `rangeLow` = lowest low of bars 1-7 minus optional tolerance.
3. **RANGE VALIDATION โ BARS 8-14**
โข Price must stay inside ` `.
โข Any violation aborts the test; no box is created.
4. **ARMED STATE**
โข If bars 8-14 hold the range, two live guide-lines appear:
โ **Green** at `rangeHigh`
โ **Red** at `rangeLow`
โข The script is now โarmed,โ waiting indefinitely for the first true breakout.
5. **BREAKOUT & BOX CREATION**
โข **Up breakout** =`high > rangeHigh`โโ rectangle drawn in **green**.
โข **Down breakout**=`low < rangeLow`โโ rectangle drawn in **red**.
โข Box extends from **startBar** to the breakout bar and never updates again.
โข Optional labels print the dollar and percentage height of the box at its left edge.
6. **OPTIONAL COOLDOWN**
โข After the box is painted the script can stay silent for a user-defined number of bars, letting you study the fallout without another range immediately arming on top of it.
---
### INPUT PARAMETERS
โข **ANCHOR TIME** โ Precise yyyy-mm-dd HH:MM:SS that seeds the sequence.
โข **BARS TO DEFINE RANGE** โ Default 7; affects both definition and validation windows.
โข **OPTIONAL TOLERANCE** โ Absolute price buffer to ignore micro-wicks.
โข **COOLDOWN BARS AFTER BREAKOUT** โ Pause length before the indicator is allowed to re-anchor (set to zero to disable).
โข **SHOW BOX DISTANCE LABELS** โ Toggle to print ฮ\$ and ฮ% on every completed box.
---
### USER WORKFLOW
1. Add the indicator, open settings, and set **ANCHOR TIME** to the candle you care about (e.g., โ2025-04-23 09:30:00โ for NYSE open).
2. Watch live as the script:
โ Paints the seven-bar range.
โ Draws validation lines.
โ Locks in the box on breakout.
3. Use the box boundaries as structural stops, targets, or context for further trades.
---
### PRACTICAL APPLICATIONS
โข **OPENING RANGE BREAKOUTS** โ Anchor at the first second of the session; capture the initial 7-bar range and trade the first clean break.
โข **EVENT STUDIES** โ Anchor at a news candle to measure immediate post-event volatility.
โข **VOLUME PROFILE FUSION** โ Combine the anchored box with VPVR to see if the breakout occurs at a high-volume node or a low-liquidity pocket.
โข **RISK DISCIPLINE** โ Stop-loss can sit just inside the opposite edge of the anchored range, enforcing objective risk.
---
### ADVANCED CUSTOMISATION IDEAS
โข **MULTIPLE ANCHORS** โ Clone the indicator and anchor several boxes (e.g., London open, New York open).
โข **DYNAMIC WINDOW** โ Switch the 7-bar fixed length to a volatility-scaled length (ATR percentile).
โข **STRATEGY WRAPPER** โ Turn the indicator into a `strategy{}` script and back-test anchored boxes on decades of data.
---
### FINAL THOUGHTS
Anchored Darvas Boxes give you Darvasโs timeless range-break methodology anchored to any candle of interestโperfect for dissecting openings, economic releases, or your own bespoke โimportantโ bars with laboratory precision.
OA - Price Magnet Zones Price Magnet Zones Indicator
Overview
The Price Magnet Zones indicator identifies special price levels that have a high statistical probability of being revisited by price in the future.
It works by detecting candles with specific formation characteristics - those without top or bottom wicks - which often signify important market levels that price tends to return to.
Key Features
Automated Detection: Identifies special candle formations automatically and draws horizontal lines at these levels
Dynamic Management Removes lines once price touches them or when they exceed the lookback period
Statistical Analysis: Tracks touch rates and average time until price returns to these levels
Clean Visual Interface: Shows only untouched levels for a clear chart view
How It Works
The indicator detects two specific types of candle formations:
Bullish Levels: Candles with no bottom wick (open = low) that close higher
Bearish Levels: Candles with no top wick (open = high) that close lowe
These formations often represent hidden liquidity zones or order blocks where price tends to return. The indicator draws horizontal lines at these levels and tracks whether price revisits them.
Statistics Tracking
The indicator maintains comprehensive statistics about the detected levels:
Total Levels: Number of bullish, bearish, and total levels detected
Touched Levels: Number of levels that price has returned to touch
Touch Rate: Percentage of levels that have been touched by price
Average Touch Time: Average number of bars until price touches each level type
Trading Applications
These hidden levels can be valuable for:
Identifying potential support and resistance zones
Finding entry and exit points for trades
Setting stop loss levels
Determining price targets
Confirming other technical signals
Settings
Max Bars to Track: Maximum number of bars to keep tracking a level (default: 500)
Line Thickness: Visual thickness of the horizontal lines (1-4)
Line Color: Color of the horizontal lines
Min Candles Before Check: Number of candles to wait before including touches in statistics (default: 3)
Show Statistics: Toggle statistics table display
Usage Tips
The statistics only count touches that occur after the specified minimum number of candles have passed, providing more meaningful data
Higher touch rates indicate stronger magnetic properties of these levels
The average touch time can help with timing expectations for trades
These levels work across various timeframes and markets
For best results, use alongside other technical analysis tools
This indicator does not provide trading signals but offers valuable insights into hidden market structure that can enhance your trading strategy.
Global Liquidity Index with Dynamic TimeframeThis is the M2 Global Money supply indicator with added functionality of moving the graph sideways (increment of days) in order to find a potential price correlation with any chart
