OA - SMESSmart Money Entry Signals (SMES)
The SMES indicator is developed to identify potential turning points in market behavior by analyzing internal price dynamics, rather than relying on external volume or sentiment data. It leverages normalized price movement, directional volatility, and smoothing algorithms to detect potential areas of accumulation or distribution by market participants.
Core Concepts
Smart Money Flow calculation based on normalized price positioning
Directional VHF (Vertical Horizontal Filter) used to enhance signal directionality
Overbought and Oversold regions defined with optional glow visualization
Entry and Exit signals based on dynamic crossovers
Highly customizable input parameters for precision control
Key Inputs
Smart Money Flow Period
Smoothing Period
Price Analysis Length
Fibonacci Lookback Length
Visual toggle options (zones, glow effects, signal display)
Usage
This tool plots the smoothed smart money flow as a standalone oscillator, designed to help traders identify potential momentum shifts or extremes in market sentiment. Entry signals are generated through crossover logic, while optional filters based on price behavior can refine those signals. Exit signals are shown when the smart money line exits extreme regions.
Important Notes
This indicator does not repaint
Works on all timeframes and instruments
Best used as a confirmation tool with other technical frameworks
All calculations are based strictly on price data
Disclaimer
This script is intended for educational purposes only. It does not provide financial advice or guarantee performance. Please do your own research and apply appropriate risk management before making any trading decisions.
指標和策略
RSI-Adaptive T3 [ChartPrime]The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson , designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations.
To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market.
HOIW IT WORKS
At its core, this indicator fuses two ideas:
The T3 Moving Average — a 6-stage recursively smoothed exponential average created by Tim Tillson , designed to reduce lag without sacrificing smoothness. It uses a volume factor to control curvature.
A Dynamic Length Engine — powered by the RSI. When RSI is low (market oversold), the T3 becomes shorter and more reactive. When RSI is high (overbought), the T3 becomes longer and smoother. This creates a feedback loop between price momentum and trend sensitivity.
// Step 1: Adaptive length via RSI
rsi = ta.rsi(src, rsiLen)
rsi_scale = 1 - rsi / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum ) ? src : alpha * src + (1 - alpha) * nz(sum )
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
The result: an evolving trend line that adapts to market tempo in real-time.
KEY FEATURES
⯁ RSI-Based Adaptive Smoothing
The length of the T3 calculation dynamically adjusts between a Min Length and Max Length , based on the current RSI.
When RSI is low → the T3 shortens, tracking reversals faster.
When RSI is high → the T3 stretches, filtering out noise during euphoria phases.
Displayed length is shown in a floating table, colored on a gradient between min/max values.
⯁ T3 Calculation (Tim Tillson Method)
The script uses a 6-stage EMA cascade with a customizable Volume Factor (v) , as designed by Tillson (1998) .
Formula:
T3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
This technique gives smoother yet faster curves than EMAs or DEMA/Triple EMA.
⯁ Visual Trend Direction & Transitions
The T3 line changes color dynamically:
Color Up (default: blue) → bullish curvature
Color Down (default: orange) → bearish curvature
Plot fill between T3 and delayed T3 creates a gradient ribbon to show momentum expansion/contraction.
Directional shift markers (“🞛”) are plotted when T3 crosses its own delayed value — helping traders spot trend flips or pullback entries.
⯁ Adaptive Volatility Bands
Optional upper/lower bands are plotted around the T3 line using a user-defined volatility window (default: 100).
Bands widen when volatility rises, and contract during compression — similar to Bollinger logic but centered on the adaptive T3.
Shaded band zones help frame breakout setups or mean-reversion zones.
⯁ Dynamic Info Table
A live stats panel shows:
Current adaptive length
Maximum smoothing (▲ MaxLen)
Minimum smoothing (▼ MinLen)
All values update in real time and are color-coded to match trend direction.
HOW TO USE
Use T3 crossovers to detect trend transitions, especially during periods of volatility compression.
Watch for volatility contraction in the bands — breakouts from narrow band periods often precede trend bursts.
The adaptive smoothing length can also be used to assess current market tempo — tighter = faster; wider = slower.
CONCLUSION
RSI-Adaptive T3 modernizes one of the most elegant smoothing algorithms in technical analysis with intelligent RSI responsiveness and built-in volatility bands. It gives traders a cleaner read on trend health, directional shifts, and expansion dynamics — all in a visually efficient package. Perfect for scalpers, swing traders, and algorithmic modelers alike, it delivers advanced logic in a plug-and-play format.
Curved Trend Channels (Zeiierman)█ Overview
Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic.
This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development.
█ How It Works
⚪ Adaptive Range Filter Foundation
The core of the system is a volatility-based range filter that determines the underlying structure of the bands:
Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range.
Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price.
Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity.
⚪ Curved Channel Logic
In Curved Mode, the trend channel grows over time when the trend direction remains unchanged:
Base Step Size (× ATR) – Sets the minimum unit of slope change.
Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time.
Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations.
This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence.
⚪ Trend Slope
As an alternative to curved logic, traders can activate a regular Trend slope using:
Slope Length – Determines how quickly the trend line adapts to price shifts.
Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes.
⚪ Candle Trend Confirmation
A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action:
Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement.
█ How to Use
⚪ Trend Identification
When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently.
⚪ Retest
During ongoing trends, the price will often pull back into the dynamic channel. Look for:
Support/resistance interactions at the upper or lower bands.
█ Settings
Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands.
Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style.
Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive.
High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots.
Band Multiplier – Widens or tightens the band range based on personal preference.
Enable Curved Channel – Toggle between curved or regular trend slope behavior.
Base Step (× ATR) – The starting point for curved slope progression.
Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend.
Slope – Reactivity of the standard trend line to price movements.
Multiplicative Factor – Sensitivity adjustment for HyperTrend slope.
Candle Trend Length – Lookback period for trend determination from candle structure.
-----------------
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.
IU Pivot Zones + GMADESCRIPTION:
IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move.
The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic.
USER INPUTS
* Pivot point Lengths: Number of bars used to detect pivot highs/lows
* Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones
* GMA Length: Period for calculating the geometric moving averages based on highs and lows
* Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones
LOGIC OF THE INDICATOR:
* Detects pivot highs and pivot lows using the user-defined length
* Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone
* If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support)
* The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears
* Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias
* Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility
WHY IT IS UNIQUE:
* Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages
* ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones
* Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool
* Real-time zone extension and disappearance logic based on price interaction
HOW USER CAN BENEFIT FROM IT:
* Spot high-probability breakout or reversal zones that price respects consistently
* Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs
* Build price action strategies around zone touches, breakouts, or rejections
* Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels
* Save time by avoiding manual marking of zones on charts across timeframes
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Auto Fractal [theUltimator5]This indicator is what I call the Auto Fractal. It is a unique algorithm that looks back in time, finds a segment on the chart that closest matches the recent price action, then projects the price forwards. It effectively finds chart patterns and shows you what the price did the last time the same/similar chart pattern was observed.
Creating an algorithm to match abstract curves to other abstract curves and provide a confidence score was the fundamental problem that needed to be solved in order to create this indicator, which curve matches with surprising accuracy.
The most effective method to "curve match" that I found is the Pearson Coefficient, set by a segment length and a lookback period. After the highest coefficient curve is located, the curve then gets scaled and offset to match the current price.
The past segment is drawn over the current price (orange line), giving a visualization of the two curves and how closely they match each other. The indicator then projects the price forwards in time based on the price action of the chart from the historical segment (dashed fuchsia line).
A bounding box also gets drawn around the historical segment to give you a clear visual of where the price is getting pulled from for proper analysis and ease of use.
The Pearson Coefficient % is shown in a table in the top right-hand corner of the chart and can be toggled off if desired. The values range from -100% (perfectly inverse correlation) to +100% (perfectly correlated) with 0 meaning no correlation whatsoever. The closer to +100% the value is, the better the segment match.
As with most/all of my indicators, user interface and simplicity was at the top of my priority list. I designed this to be easily readable and intuitive to both novice and veteran traders, without cluttering the chart.
Note:
This indicator is extremely heavy in terms of memory usage due to nested for loops, and takes several seconds to initially load the chart overlay. If the lookback period is increased too high (>600) then the indicator may time out and fail to load anything. If nothing loads on the chart, try reducing the lookback length and wait up to 10 seconds for lines to appear.
Quantum Edge Pro Quantum Edge Pro - The Microstructure Revolution in NASDAQ Futures Trading
Where Mathematical Precision, Market Microstructure, and Quantum Visualization Converge
Exclusively Engineered for NASDAQ Micro (MNQ) and E-mini (NQ) Futures
The Paradigm Shift: Beyond Traditional Technical Analysis
For decades, futures traders have relied on lagging indicators and static rules. Quantum Catalyst Pro represents a revolutionary leap forward - the first trading system to combine:
- Advanced Market Microstructure Analysis - Decoding order flow in real-time
- Quantum-Inspired Visualization - Seeing market dynamics invisible to others
- Dynamic ATR Revolution - Context-aware risk management
- Mathematical Precision - Institutional-grade algorithms
Traditional futures trading strategies rely on outdated technical indicators designed decades ago. The Quantum Catalyst Pro represents a paradigm shift - combining cutting-edge mathematical concepts with real-time market microstructure analysis, specifically optimized for the unique characteristics of NASDAQ futures contracts.
The ATR Revolution: Why We're Different
The Fatal Flaw of Traditional ATR Systems
Every trading strategy uses ATR for stops and targets. They all fail for the same reasons:
1. ATR is a lagging indicator - It tells you what volatility WAS, not what it IS
2. Fixed multipliers ignore market context - Using 2x ATR in all conditions is like driving with your eyes closed
3. No adaptation to market microstructure - ATR treats all price movement equally, ignoring order flow dynamics
4. Symmetric application - Same distance for stops and targets ignores directional market bias
My Revolutionary Solution: Context-Aware Dynamic ATR
We've transformed ATR from a blunt tool into a precision instrument:
1. Instrument-Specific ATR Periods
ATR Period = NQ: 10 bars | MNQ: 14 bars
Why? NQ moves faster and requires more responsive measurements.
2. Dynamic Multiplier System
Instead of fixed multipliers, we use:
Stop Multiplier =
- NQ: 0.8x (tighter due to higher leverage)
- MNQ: 1.2x (wider for noise tolerance)
Target Multiplier =
- Trending: 3.0x stop distance
- Ranging: 1.5x stop distance
- NQ Additional: 0.8x modifier (scales down targets)
3. Volatility-Adaptive Position Sizing
Volatility Adjustment =
- Low Vol (ATR% < 0.1): Size × 1.5
- Normal Vol: Size × 1.0
- High Vol (ATR% > 0.3): Size × 0.5
4. Microstructure-Enhanced Exits
- Adverse Movement: 0.5x ATR (not full ATR)
- Time-Based: 20 bars NQ, 30 bars MNQ
- Profit Protection: Dynamic based on market state
Why This Changes Everything
Traditional ATR systems lose because they:
- Place stops at mechanical levels without context
- Ignore the difference between noise and directional movement
- Fail to adapt to changing market conditions
Our system wins because it:
- Reads market microstructure to distinguish noise from trend
- Adapts dynamically to volatility regimes
- Scales intelligently based on instrument characteristics
- Protects profits with trailing mechanisms
The Microstructure Revolution: Order Flow as Primary Signal
Beyond Price: The Hidden Dimension
While traditional strategies focus on price patterns, Quantum Catalyst Pro decodes the market's DNA through microstructure analysis:
1. Order Flow Imbalance Calculation
Buy Volume = Volume × (Close > Open ? 1.0 : 0.3)
Sell Volume = Volume × (Close < Open ? 1.0 : 0.3)
Order Flow Imbalance = (Buy - Sell) / Total Volume
This asymmetric weighting (1.0 vs 0.3) captures the TRUE directional intent, not just volume.
2. Spread Analysis for Liquidity
Spread Ratio = Current Spread / Average Spread
Tight Spread = Ratio < 0.7 (high liquidity)
3. Price Efficiency Ratio
Efficiency = Price Change / Path Length
Measures how directly price moves - high efficiency = strong directional conviction.
Core Mathematical Framework
Our strategy employs a multi-layered mathematical approach:
1. Adaptive Momentum System
The momentum calculation adapts to each instrument's volatility characteristics:
Momentum Score = (sign(fast) + sign(medium) + sign(slow)) / 3
Fast Period: MNQ = 5 bars | NQ = 3 bars
Medium Period: MNQ = 15 bars | NQ = 10 bars
Slow Period: MNQ = 60 bars | NQ = 30 bars
ROC Threshold = MNQ: 0.1% | NQ: 0.05% (tighter for larger contract)
This tri-layered momentum system captures micro, meso, and macro price movements while adapting to each instrument's tick value and volatility profile.
2. Dynamic Volatility Framework
ATR% = (ATR / Close) × 100
Volatility Regime =
- Low: ATR% < 0.1 (position size × 1.5)
- Normal: 0.1 ≤ ATR% ≤ 0.3 (position size × 1.0)
- High: ATR% > 0.3 (position size × 0.5)
3. Position Sizing: The Kelly Criterion Implementation
Our position sizing algorithm implements a modified Kelly Criterion:
Position Size = (Account × Risk%) / (Stop Distance × Point Value)
Risk per Trade: MNQ = 1.5% | NQ = 0.3% (scaled by contract size)
Volatility Adjustment: Size × Volatility Multiplier
This ensures optimal capital allocation while respecting the 10x leverage difference between MNQ ($2/point) and NQ ($20/point).
Entry Signal Generation: Four Pillars of Market Opportunity
The Four Pillars of Entry: A Multi-Dimensional Approach
1. Momentum Continuation Entries
Conditions Required:
- Momentum Score > 0.6 (strong alignment)
- ADX > 25 (trending market)
- Order Flow Imbalance > 0.3 (directional volume)
- Price not at Bollinger Band extreme
- Market hours active
Mathematical Edge:
- Captures 70%+ of trending moves with 65% win rate
- Requires ALL three timeframes aligned
- NOT at Bollinger Band extremes
2. Mean Reversion Entries
Mean Reversion Score = BB Position + RSI Position + Price Position
- Score ≥ 2: Strong reversal setup
- ADX < 20: Non-trending environment
- Tight spread: < 0.7 × average (liquidity confirmation)
Mathematical Edge:
- 78% win rate in ranging markets
- Composite score from RSI + BB + Price position
- Only in non-trending environments
3. Breakout Entries
Breakout Validation:
- Price > Recent High/Low (20-bar for MNQ, 10-bar for NQ)
- Volume > 1.5 × Average
- Efficiency Ratio > 0.6 (directional conviction)
- Momentum confirmation
Mathematical Edge:
- Captures explosive moves with 3:1 reward/risk
- Volume surge (1.5x average)
- Captures 3:1 reward/risk moves
4. Power Hour Scalping
- Time Window: 2:00 PM - 3:00 PM CT
- Requirements: Momentum alignment + High volume + Order flow extremes
Mathematical Edge:
- Exploits end-of-day positioning with quick profits
- Time-based edge (2-3 PM CT)
- Requires extreme order flow (>0.5)
## Quantum Visualization: See What Others Can't
### The Visual Revolution
Our quantum-inspired visualization system reveals market dynamics invisible to traditional charts:
1. Wick Pressure Analysis Lines
Purpose: Identify rejection and absorption zones
Visualization:
- Red dotted lines: Selling pressure from upper wicks
- Green dotted lines: Buying pressure from lower wicks
- Width: Proportional to rejection strength
- Interpretation: Multiple lines = strong rejection zone
Shows WHERE price is rejected, not just that it was
2. Morphism Energy Beams
Purpose: Visualize momentum flow between price points
Color Coding:
- Cyan beams: Bullish momentum flow
- Fuchsia beams: Bearish momentum flow
- Width: Indicates momentum strength
- Interpretation: Thick beams = strong directional conviction
Visualizes the FLOW of energy between price points
3. Order Flow Clouds
Purpose: Display real-time volume imbalances
Visual Design:
- Cyan clouds: Buying pressure dominance / Institutional buying
- Purple clouds: Selling pressure dominance / Institutional selling
- Size: Proportional to imbalance magnitude / Volume intensity
- Interpretation: Large clouds = institutional activity
Makes invisible order flow visible
4. Quantum Field Grid
Purpose: Show market state and volatility zones
Color States:
- Lime grid: Trending market state
- Orange grid: Ranging market state
- Density: Indicates volatility level
- Interpretation: Dense grid = high volatility environment
Shows market regime at a glance
5. Fractal Support/Resistance Grid
Purpose: Dynamic price levels based on fractal analysis
Implementation:
- Dashed lines: Primary S/R levels
- Solid glow: Creates neon effect for visibility
- Updates: Real-time recalculation
- Interpretation: Confluence zones = high probability reversals
Self-organizing price memory
6. Entry Signal Visualization
- Long Signals: Triple-layered green triangles with glow
- Short Signals: Triple-layered red triangles with glow
- Effect: Pulsing animation draws attention to entries
Risk Management: Institutional-Grade Protection
The Fortress Approach: Multi-Layered Protection
1. Initial Stop Loss:
- MNQ: 1.2 × ATR (approximately 12-15 points)
- NQ: 0.8 × ATR (approximately 8-10 points)
2. Profit Targets:
- Trending: 3.0 × Stop Distance
- Ranging: 1.5 × Stop Distance
- NQ: Additional 0.8× multiplier (tighter targets)
3. Trailing Stop:
- Activates at 50% of target
- Trails by 50% of stop distance
4. Time-Based Exits:
- Maximum hold: 30 bars MNQ | 20 bars NQ
- Adverse movement: Exit if -0.5 × ATR from entry
5. Daily Risk Controls:
- Hard stop: -$500 (scales with instrument)
- Trailing daily stop: Protects 50% of profits above $1,000
- Weekly target: $10,000 (stops trading when achieved)
Position Sizing Intelligence
Base Risk: MNQ = 1.5% | NQ = 0.3%
Kelly Criterion: Optimal f based on win rate
Volatility Scaling: Automatic adjustment
Max Position: 3 contracts (diversification)
Exit Intelligence
- Time-based: No hope trades
- Adverse movement: Quick loss recognition
- Profit protection: Automated scaling
Dashboard System: Professional Performance Analytics
Main Performance Dashboard (Top-Right)
Market State Section:
- Trend: TRENDING/RANGING/NEUTRAL with ADX value
- Momentum: BULLISH/BEARISH/NEUTRAL with percentage
- Volatility: HIGH/NORMAL/LOW with ATR%
Order Flow Section:
- Flow Direction: BUYING/SELLING with imbalance value
- Volume: Relative volume multiplier
Performance Section:
- Daily P&L: Real-time profit/loss tracking
- Weekly P&L: Progress toward $10k target
- Status: ACTIVE/STOPPED/TARGET MET
Signal Monitor (Bottom-Right)
Real-time tracking of all four entry systems:
- Momentum signals
- Mean reversion signals
- Breakout signals
- Power hour signals
- Trading permission status
Color Themes: Professional Customization
1. Cyber (Default): Cyan/Pink neon aesthetic
2. Quantum: Aqua/Fuchsia energy theme
3. Matrix: Classic green/red terminal
4. Aurora: Soft pastel professional theme
Commission and Slippage: Prop Firm Optimization
Commission Structure ($0.62/contract)
This reflects the typical all-in cost for prop firm futures traders:
- Exchange fees: ~$0.32 (CME member rate)
Platform fees: ~$0.20
- Total: $0.62 per side
Slippage Setting (1 tick)
Conservative 1-tick slippage accounts for:
- MNQ: $0.50 per contract (0.25 point × $2)
- NQ: $5.00 per contract (0.25 point × $20)
- Rationale: NASDAQ futures are highly liquid with tight spreads
These settings ensure realistic backtesting results that match live trading conditions at prop firms.
Input Parameters: Complete Configuration Guide
Risk Management Parameters
Account Size: Your trading capital
- Tooltip: "Your trading account balance • Affects position sizing • MNQ: $5k-50k typical | NQ: $25k-100k+ recommended"
Risk Per Trade %: 0.015 (1.5%) default
- Tooltip: "% of account risked per trade • 1.5% default • CONSERVATIVE: 0.5-1% | MODERATE: 1-2% | AGGRESSIVE: 2-3% • Auto-adjusted by instrument"
Max Daily Loss: $500 default
- Tooltip: "Daily stop loss • Scales with instrument • MNQ: $500 = 250 pts | NQ: $500 = 25 pts • Includes trailing stop protection"
Weekly Target: $10,000 default
- Tooltip: "Weekly profit goal • $10k = 5000 MNQ pts or 500 NQ pts • Strategy stops at target to prevent overtrading"
Max Positions: 3 default
- Tooltip: "Maximum concurrent trades • 3 recommended • Higher = more risk/reward • Consider margin requirements"
Trading Session Configuration
Trading Start: 830 (8:30 AM CT)
- Tooltip: "Session start in Central Time • 830 = 8:30 AM CT = 9:30 AM ET • Aligns with US market open"
Trading End: 1500 (3:00 PM CT)
- Tooltip: "Session end in Central Time • 1500 = 3:00 PM CT = 4:00 PM ET • 1 hour before market close"
Power Hour Start: 1400 (2:00 PM CT)
- Tooltip: "Final hour of trading • 1400 = 2:00 PM CT • Increased volatility • Special scalping signals active"
Visual Effects Configuration
Show Quantum Field: Market energy visualization
- Tooltip: "Displays market energy grid • Shows volatility zones • Green = trending | Orange = ranging • Disable for cleaner chart"
Show Wick Pressure Lines: Rejection analysis
- Tooltip: "Analyzes candle wicks for rejection • Red lines = selling pressure | Green lines = buying pressure • Key for reversal detection"
Show Morphism Energy Beams: Momentum flow
- Tooltip: "Momentum flow visualization • Cyan = bullish momentum | Fuchsia = bearish momentum • Width indicates strength"
Show Order Flow Clouds: Volume imbalances
- Tooltip: "Volume delta visualization • Cyan clouds = buying pressure | Purple clouds = selling pressure • Size shows intensity"
Show Fractal Grid: Dynamic S/R levels
- Tooltip: "Dynamic support/resistance levels • Updates in real-time • Dashed lines with glow effect • Based on fractal highs/lows"
Glow Intensity: Visual effect strength
- Tooltip: "Visual effect intensity • 1-3: Subtle | 4-6: Balanced | 7-10: Intense • Affects all visual elements"
Color Theme: Visual aesthetics
- Tooltip: "Visual color scheme • Cyber: Blue/Pink neon | Quantum: Aqua/Fuchsia | Matrix: Green/Red | Aurora: Pastel tones"
Development Journey: Engineering Excellence
The Challenge
Creating a strategy that could handle the 10x leverage difference between MNQ and NQ while maintaining consistent performance required innovative solutions:
1. Instrument Detection: Automatic recognition using tick values
2. Dynamic Scaling: All parameters adjust to contract specifications
3. Risk Parity: Equal dollar risk despite different point values
4. Visual Clarity: Complex data presented intuitively
The Solution
Through extensive optimization and backtesting:
- Adaptive algorithms: Parameters scale with instrument characteristics
- Efficient computation: Pre-calculated values for real-time performance
- Professional visualization: Institutional-quality displays
- Robust risk management: Multiple protection layers
Performance Expectations: Realistic Results
Backtesting Parameters
- Initial Capital: $50,000 (realistic for prop firm account)
- Commission: $0.62 per contract per side
- Slippage: 1 tick per trade (0.25 points = $5 per contract for NQ)
- Risk Per Trade: 0.3% for NQ (auto-scaled from 1.5% base)
- Contract Size: NQ = $20 per point
- Typical Stop: 8-10 points ($160-200 risk per contract)
- Typical Target: 16-30 points ($320-600 profit per contract)
Why These Settings Are Conservative
- Commission: $0.62 covers exchange, clearing, and platform fees
- Slippage: 1 tick is conservative for liquid NQ futures
- Account Size: $50k allows proper risk management with NQ's $20/point value
- No Pyramiding: Maximum 3 positions prevents overleveraging
Expected Performance Metrics
Based on historical backtesting with these realistic parameters:
- Win Rate: 65-78% across all signal types
- Average Win: 1.5-2.5x average loss
- Profit Factor: 1.8-2.5
- Maximum Drawdown: Limited to $2,000-3,000 by risk controls
- Average Trade Duration: 15-25 bars
- Trading Frequency: 3-8 trades per day
Real Performance Expectations
- Win Rate: 65-78% depending on market regime
- Risk/Reward: 1:2 to 1:3 average
- Drawdown: Limited by daily stops
- Consistency: Positive expectancy across all market conditions
Important Disclaimers
- Past performance does not guarantee future results
- Live trading may differ due to execution delays and market impact
- Emotional factors in live trading can affect performance
- Market conditions change - strategy requires periodic monitoring
Why Quantum Catalyst Pro Dominates
The Convergence of Five Edges
1. Microstructure Edge: We see order flow others miss
2. Volatility Edge: Dynamic adaptation vs static rules
3. Visual Edge: Quantum visualization reveals hidden patterns
4. Risk Edge: Sophisticated position sizing and protection
5. Execution Edge: Multiple uncorrelated entry systems
The Paradigm Shift
This isn't just another indicator mashup. It's a complete reimagining of how to trade futures:
- Beyond Indicators: Microstructure as primary signal
- Beyond Static Rules: Dynamic adaptation to market state
- Beyond Guesswork: Mathematical precision in every decision
- Beyond Hope: Systematic edge with bulletproof risk management
The Future of Trading
Quantum Catalyst Pro represents the future of algorithmic trading:
- Beyond indicators: Microstructure as primary signal
- Beyond static rules: Dynamic adaptation to market state
- Beyond guesswork: Mathematical precision in every decision
- Beyond hope: Systematic edge with risk protection
This isn't just another trading strategy. It's a complete paradigm shift in how we understand and trade markets. By combining quantum-inspired visualization with microstructure analysis and dynamic risk management, we've created a system that adapts, learns, and profits in any market condition.
Revolutionary Features Summary
1. Context-Aware Dynamic ATR
- Transforms ATR from static tool to adaptive intelligence
- Instrument-specific periods and multipliers
- Microstructure-enhanced exits
- Volatility-based position sizing
2. Market Microstructure Mastery
- Order flow imbalance as primary signal
- Asymmetric volume weighting (1.0 vs 0.3)
- Spread analysis for liquidity confirmation
- Price efficiency ratio for conviction
3. Quantum Visualization Suite
- Wick pressure analysis reveals rejection zones
- Morphism energy beams show momentum flow
- Order flow clouds display institutional activity
- Quantum field grid indicates market regime
- Fractal S/R with neon glow effects
4. Four-Pillar Entry System
- Momentum continuation (65% win rate)
- Mean reversion (78% win rate)
- Breakout validation (3:1 R/R)
- Power hour scalping
5. Fortress Risk Management
- Multi-layered protection system
- Kelly Criterion position sizing
- Daily trailing stops
- Time-based and adverse movement exits
Stop trading the past. Start trading the future.
Trade with Quantum Edge Pro - Where Science Meets Art in Perfect Harmony
Created by Dskyz (DAFE) Trading Systems
Houston's Hidden Quant Legend
Empowering Traders Through Mathematical Innovation
Adjustable Vertical LinesThe script provides an indicator which will plot lines - 15 min, 30 min and 60 min. You can customize the time intervals and go to as low as one minute, but I found the 15-minute and 30-minute intervals works best for me when trying to find setups, and the lower time-frame intervals, is just pointless to use if you're not scalping on the seconds timeframe.
You can customize inputs for the line style. Line thickness, colour, etc.
I've seen this work using the OBR theory and applying it to the one-minute candle then looking for other confluences like order blocks, or breakers, FVGs, BOS/CHoC for further confirmation for scalping. It's important to backtest though and see for yourself.
Thanks for the boost.
FVG Trailing Stop [LuxAlgo]The FVG Trailing Stop indicator tracks unmitigated Fair Value Gaps (FVG) data to produce a Trailing Stop indicator able to determine if the market is uptrending or downtrending easily.
🔶 USAGE
The FVG Trailing Stop is intended to identify trend directions through its position relative to the closing price:
Bullish: Price is located above the Trailing Stop, indicating that all Bearish FVGs have been mitigated and the trend is anticipated to continue upwards.
Bearish State: Price is located below the Trailing Stop, indicating that all Bullish FVGs have been mitigated and the trend is anticipated to continue downwards.
The Trailing Stop originates from two extremities obtained from the average of respective unmitigated FVGs. The specific directional average is also displayed as a more transparent secondary line, however, the trailing stop is derived from this value and a new trend will not be detected until the opposite directional average is crossed.
Price reaching the Trailing Stop is caused by retracements and can lead to the following scenarios:
Outcome 1: The directional average is crossed next, indicating a new trend direction.
Outcome 2: The directional average is held as support or resistance, leading to a new impulse and a continuation of the trend.
🔹 Reset on Cross
While price crossing the Trailing Stop should be considered as a sign of an upcoming trend change; it is possible for the price to still evolve outside it.
As a solution, we have included the "Reset on Cross" feature, which (as the name suggests) hides and resets the Trailing Stop each time it is crossed, leading to a "Neutral" state.
This opens the opportunity for the Trailing Stop to be displayed again once the price moves again in the direction of the pre-established trend. A trader might use this to accumulate positions within a specific trend.
🔶 DETAILS
The script uses a typical identification method for FVGs. Once identified, the script collects the point of the FVG farthest from the current price when formed.
For Upwards FVGs this is the bottom of the FVG.
For Downwards FVGs this is the top of the FVG.
The data is managed only to use the last input lookback of FVGs. If an FVG is mitigated, it frees up a spot in the memory for a new FVG, however, if the lookback is full, the oldest will be deleted.
From there, it uses a "trailing" logic only to move the Trailing Stop in one direction until the trailing stop resets or the direction flips.
The extremities used to calculate the Trailing Stop are created from 2 calculation steps, the first step involves taking the raw average of the FVG mitigation levels, and the second step applies a simple moving average (SMA) smoothing of the precedent-obtained averages.
🔶 SETTINGS
Unmitigated FVG Lookback: Sets the maximum number of Unmitigated FVGs that the script will use.
Smoothing Length: Sets the smoothing length for the Trailing Stop to reduce erratic results.
Reset on Cross: When enabled, hide and reset the Trailing Stop until the price starts moving in the pre-established trend direction again.
CISD Levels by HAZEDCISD Levels by HAZED - Advanced Market Structure Analysis
📊 Overview
The CISD Levels indicator is a sophisticated market structure analysis tool that automatically identifies and plots critical support and resistance levels based on Change in State Direction (CISD) methodology. This indicator helps traders visualize key market turning points and potential breakout/breakdown levels with precision.
🎯 What are CISD Levels?
CISD (Change in State Direction) levels represent significant price points where market sentiment shifts from bullish to bearish or vice versa. These levels are dynamically calculated based on:
Market structure breaks (higher highs/lower lows)
Pullback patterns and trend continuations
Real-time price action analysis
Dynamic level updates as market conditions evolve
✨ Key Features
🔥 Smart Level Detection
Automatically identifies bullish (+CISD) and bearish (-CISD) levels
Real-time updates as market structure evolves
Intelligent pullback detection algorithm
🎨 Full Customization
Colors: Customize bullish/bearish level colors
Line Styles: Choose from solid, dotted, or dashed lines
Text Labels: Fully customizable text, size, and font options
Transparency: Adjustable line transparency (0-100%)
Extensions: Control how far lines extend into the future
📈 Historical Analysis
Show All Levels: Option to display historical CISD levels
Max Levels Control: Limit the number of historical levels shown (1-50)
Level Management: Automatic cleanup of old levels
🚨 Smart Alerts
Bullish Alerts: Get notified when price breaks above +CISD levels
Bearish Alerts: Get notified when price breaks below -CISD levels
Alert Frequency: Choose between "Once Per Bar" or "Once Per Bar Close"
📊 Statistics Table
Market State: Current bullish/bearish market condition
Active Levels: Count of currently active CISD levels
Latest Levels: Display of most recent +CISD and -CISD values
Positioning: 5 different table positions available
🛠️ How to Use
For Swing Traders:
Use CISD levels as key support/resistance zones
Enter positions on level breaks with proper risk management
Set stop losses below/above opposite CISD levels
For Day Traders:
Watch for price reactions at CISD levels
Use levels for entry/exit timing
Combine with volume analysis for confirmation
For Position Traders:
Identify major market structure changes
Use higher timeframe CISD levels for strategic entries
Monitor level breaks for trend continuation signals
⚙️ Settings Guide
CISD Level Settings
Bullish/Bearish Colors: Customize level appearance
Custom Text: Add your own labels to levels
Alert Setup: Enable notifications for level breaks
Historical Levels: Choose to show past levels for context
Appearance Customization
Line Width: 1-5 pixel thickness options
Line Style: Solid, dotted, or dashed
Extension Bars: Control future projection (1-50 bars)
Text Options: Size, font, and bold formatting
Statistics Table
Enable/Disable: Toggle table visibility
Position: 5 placement options on chart
Real-time Data: Live market state and level information
🎯 Best Practices
Multi-Timeframe Analysis: Use CISD levels across different timeframes for confluence
Risk Management: Always use proper position sizing and stop losses
Confirmation: Combine with volume, momentum, or other indicators
Market Context: Consider overall market conditions and news events
Backtesting: Test the levels on historical data before live trading
📋 Technical Specifications
Overlay: True (plots directly on price chart)
Max Lines: 500 (handles multiple historical levels)
Max Labels: 500 (supports extensive labeling)
Real-time Updates: Dynamic level calculation and alerts
Performance: Optimized code for smooth chart operation
🚀 Why Choose CISD Levels?
Precision: Advanced algorithm for accurate level identification
Flexibility: Extensive customization options for any trading style
Reliability: Proven market structure analysis methodology
User-Friendly: Intuitive settings with helpful tooltips
Professional: Clean, professional appearance on any chart
📞 Support & Updates
This indicator is actively maintained and updated. For questions, suggestions, or feature requests, feel free to reach out through TradingView messaging.
⚠️ Disclaimer: This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management. Past performance does not guarantee future results.
abusuhil bullish breakAbusuhil Bullish Break is a price action-based confirmation tool that identifies a bullish reversal pattern consisting of:
Two consecutive bearish candles followed by
A strong bullish candle that closes above the high of both.
The script includes:
Optional dual MACD filter (current timeframe + higher timeframe)
Configurable stop-loss and multiple take-profit levels
Visual lines for targets and stop
Custom styling for all elements
It’s a clean, logic-driven entry confirmation tool for intraday and swing trading.
⚠️ Open-source and fully customizable.
مؤشر Abusuhil Bullish Break هو أداة تأكيد لانعكاسات الاتجاه الصاعد بناءً على حركة السعر (Price Action)، ويكتشف نموذجًا يتكون من:
شمعتين هابطتين متتاليتين
تتبعهما شمعة صاعدة قوية تغلق فوق أعلى الشمعتين السابقتين
يحتوي المؤشر على:
فلتر MACD مزدوج اختياري (للفريم الحالي وفريم أعلى)
إعدادات مخصصة للوقف والأهداف المتعددة
خطوط مرئية احترافية للأهداف والوقف
تحكم كامل في الألوان والنمط والعرض
مناسب للتداول اللحظي والسوينج.
✅ مفتوح المصدر وقابل للتعديل بالكامل.
Buysell Martingale Signal - CustomBuysell Martingale Signal - Custom Indicator
Introduction:
This indicator provides a dynamic buy and sell signal system incorporating an adaptive Martingale logic. Built upon the signalLib_yashgode9/2 library, it is designed for use across various markets and timeframes.
Key Features:
Primary Buy & Sell Signals: Identifies initial buy and sell opportunities based on directional changes derived from the signalLib.
Martingale Signals:
For Short (Sell) Positions: A Martingale Sell signal is triggered when the price moves against the existing short position by a specified stepPercent from the last entry price, indicating a potential opportunity to average down or increase position size.
For Long (Buy) Positions: Similarly, a Martingale Buy signal is triggered when the price moves against the existing long position by a stepPercent from the last entry price.
On-Chart Labels: Displays clear, customizable labels on the chart for primary Buy, Sell, Martingale Buy, and Martingale Sell signals.
Customizable Colors: Allows users to set distinct colors for primary signals and Martingale signals for better visual distinction.
Adjustable Sensitivity: Features configurable parameters (DEPTH_ENGINE, DEVIATION_ENGINE, BACKSTEP_ENGINE) to fine-tune the sensitivity of the underlying signal generation.
Webhook Support (Static Message Alerts): This indicator provides alerts with static messages for both primary and Martingale buy/sell signals. These alerts can be leveraged for automation by external systems (such as trading bots or exchange-provided Webhook Signal Trading services).
Important Note: When using these alerts for automation, an external system is required to handle the complex Martingale logic and position management (e.g., tracking steps, PnL calculation, hedging, dynamic quantity sizing), as this indicator solely focuses on signal generation and sending predefined messages.
How to Use:
Add the indicator to your desired chart.
Adjust the input parameters in the indicator's settings to match your specific trading symbol and timeframe.
For automation, you can set up TradingView alerts for the Buy Signal (Main/Martingale) and Sell Signal (Main/Martingale) conditions, pointing them to your preferred Webhook URL.
Configurable Parameters:
DEPTH_ENGINE: (e.g., 30) Controls the depth of analysis for the signal algorithm.
DEVIATION_ENGINE: (e.g., 5) Defines the allowable deviation for signal generation.
BACKSTEP_ENGINE: (e.g., 5) Specifies the number of historical bars to look back.
Martingale Step Percent: (e.g., 0.5) The percentage price movement against the current position that triggers a Martingale signal.
Labels Transparency: Adjusts the transparency of the on-chart signal labels.
Buy-Color / Sell-Color: Sets the color for primary Buy and Sell signal labels.
Martingale Buy-Color / Martingale Sell-Color: Sets the color for Martingale Buy and Sell signal labels.
Label size: Controls the visual size of the labels.
Label Offset: Adjusts the vertical offset of the labels from the candlesticks.
Risk Warning:
Financial trading inherently carries significant risk. Martingale strategies are particularly high-risk and can lead to substantial losses or even complete liquidation of capital if the market moves strongly and persistently against your position. Always backtest thoroughly and practice with a demo account, fully understanding the associated risks, before engaging with real capital.
DB - Range Filter heikenashi Strategy
DB - Range Filter Heikenashi Strategy
Smart Filtering Meets Heiken-Ashi Precision for Adaptive Trend Breakouts
This is not your average range filter strategy. Built from the ground up with adaptive signal logic and hybrid candle interpretation, this script merges range-based volatility filtering with Heiken-Ashi smoothing to isolate meaningful breakouts—while filtering out noise with surgical precision.
🔍 Key Innovations:
• Dynamic Range Filtering Engine: Combines smoothed average range with directional bias to create high-confidence entries.
• Candle Type Toggle: Choose between standard candles or Heiken-Ashi to shape your signals to your trading style.
• Dual-Layer Trend Confirmation: Upward and downward movement counters ensure trend commitment before triggering entries.
• Time-Filtered Backtesting: Easily isolate strategy performance within precise historical windows.
• Optional Smart Stops: Add stop loss & take profit rules without changing the core logic—perfect for risk-managed deployment.
📈 Visual & Practical Features:
• Multi-color bar analysis to identify strength, weakness, and transition zones.
• Upper and lower dynamic bands for visualizing profit targets and range boundaries.
• Buy/Sell signal labels with direction-aware logic to avoid choppy conditions.
• Ideal for high-volatility assets (e.g., BTC) on short timeframes, but fully tunable for any market.
Built for traders who value clarity over chaos, this strategy aims to reduce false signals and offer a cleaner execution framework for trend followers and breakout scalpers alike.
> Make volatility your ally, not your enemy.
P4H SFP StrategySignals Long or Short Entries based on Previous 4H low/high. Entry criteria are SFP/Rejection of P4h L/H and candle close in opposite direction. RSI must be 65/35 but can customize. Stop/TP 1% from entry. All of this is customizable. Stats are shown and you can change the time range of that as well.
ZEN FVGA Fair Value Gap (FVG) indicator with Fibonacci levels is a technical analysis tool designed to identify market inefficiencies and potential price reversal or continuation zones, enhanced by the strategic application of Fibonacci ratios. It combines two powerful concepts to provide traders with a more nuanced view of price action.
**Understanding Fair Value Gaps (FVG)**
* **Definition:** An FVG, also known as an "imbalance," represents a price range where one side of the market (buying or selling) was significantly more aggressive than the other. This aggression leaves behind an inefficiency or a "gap" in the price delivery.
* **Formation:** FVGs are typically identified by a three-candle pattern:
* **Bullish FVG:** The highest point of the first candle and the lowest point of the third candle do not overlap with the second, strong bullish (upward moving) candle. The FVG is the space between the high of the first candle and the low of the third candle. This indicates a strong buying imbalance.
* **Bearish FVG:** The lowest point of the first candle and the highest point of the third candle do not overlap with the second, strong bearish (downward moving) candle. The FVG is the space between the low of the first candle and the high of the third candle. This indicates a strong selling imbalance.
* **Significance:** Traders watch FVGs because the price has a tendency to revisit these zones to "rebalance" the inefficiency or "fill the gap" before potentially continuing in its original direction. They can act as magnets for price and highlight areas of institutional interest.
**Integrating Fibonacci Levels**
Fibonacci retracement and extension levels are mathematical ratios derived from the Fibonacci sequence that are widely used in financial markets to identify potential support and resistance areas. When combined with FVGs, they can offer more precise entry, exit, and target levels.
* **How it Works:** Once an FVG is identified, Fibonacci retracement levels (commonly 23.6%, 38.2%, 50%, 61.8%, and 78.6%) can be drawn across the FVG zone (from its high to its low, or vice versa).
* **Purpose:**
* **Confluence:** When an FVG aligns with a key Fibonacci level (especially the 50% or 61.8% "golden ratio"), it can create a powerful area of confluence, suggesting a higher probability of a price reaction.
* **Entry Points:** Traders might look for entries within the FVG as price retraces to a specific Fibonacci level within that gap. For example, price entering a bullish FVG and finding support at the 61.8% Fibonacci level drawn within that FVG could be a potential long entry signal.
* **Profit Targets:** Fibonacci extension levels can be used to project potential profit targets once price has reacted to an FVG and resumed its trend.
* **Stop-Loss Placement:** Fibonacci levels can also assist in placing stop-loss orders, typically just beyond the FVG or a significant Fibonacci level that, if breached, would invalidate the trade idea.
**Key Features of an FVG Indicator with Fib Levels:**
* **Automatic FVG Detection:** The indicator automatically identifies and visually highlights bullish and bearish FVGs on the price chart, usually as colored boxes.
* **Fibonacci Level Overlay:** It dynamically draws selected Fibonacci retracement (and sometimes extension) levels within or based on the identified FVG.
* **Customization:** Users can typically customize:
* The sensitivity and parameters for FVG detection.
* Which Fibonacci levels are displayed.
* The colors and styles of the FVG boxes and Fibonacci lines.
* Alerts for when price enters an FVG or interacts with a specific Fibonacci level within the FVG.
* **Multi-Timeframe Analysis:** Some advanced versions may allow for the display of FVGs and Fibonacci levels from higher timeframes on the current chart, providing a broader market context.
* **Mitigation Tracking:** The indicator might show how much of an FVG has been "filled" or mitigated by subsequent price action.
**How Traders Use It:**
1. **Identify the Trend:** Determine the overall market trend (e.g., using moving averages or market structure). FVGs traded in the direction of the prevailing trend are generally considered more reliable.
2. **Spot FVGs:** Look for the indicator to highlight FVGs that align with the current trend.
3. **Observe Fibonacci Confluence:** Check if key Fibonacci levels (e.g., 50%, 61.8%) within the FVG provide an additional layer of support or resistance.
4. **Plan Entry:** Consider entering a trade if the price retraces into the FVG and reacts at a significant Fibonacci level. For example, in an uptrend, a pullback into a bullish FVG that finds support at the 50% Fibonacci level of that FVG could be a buy signal.
5. **Set Stop-Loss and Take-Profit:** Place stop-loss orders outside the FVG (e.g., below the low of a bullish FVG or above the high of a bearish FVG) or beyond a key Fibonacci level. Use Fibonacci extensions or other analysis methods to set profit targets.
**In Summary:**
An FVG indicator with Fibonacci levels is a sophisticated tool that aims to improve trading decisions by:
* Clearly identifying areas of market imbalance (FVGs).
* Providing objective potential support and resistance zones through Fibonacci analysis.
* Offering traders more precise entry, stop-loss, and take-profit levels by combining these two analytical methods.
As with any trading indicator, it's crucial to use it as part of a comprehensive trading plan that includes risk management and potentially other confirming indicators or price action analysis.
HTF Overlay Candles (Aggregated)🕯️ Synthetic Aggregated Candles
Created by: The_Forex_Steward
License: Mozilla Public License 2.0
🔍 Description
This indicator creates visually aggregated candles directly on your chart, allowing you to view synthetic candlesticks that combine multiple bars into one. It enables a higher-level perspective of price action without switching timeframes.
Each synthetic candle is built by combining a user-defined number of consecutive bars (e.g., 4 bars from the current timeframe form one aggregated candle). It accurately tracks open, high, low, and close values, then draws a colored box and wick to represent the aggregated data.
⚙️ Features
Aggregation Factor: Combine candles over a custom number of bars (e.g., 4 = 4x current TF)
Timezone Alignment: Aggregation is aligned with midnight in UTC-5 (modifiable in code)
Custom Colors: Choose colors for bullish and bearish synthetic candles
Body Opacity: Control the opacity of the candle body for visual clarity
Wick Width: Customize the thickness of the candle wick
📌 Use Case
Ideal for traders looking to:
- Reduce noise in lower timeframes
- Visualize price action in broader chunks
- Spot larger structure and swing patterns without switching charts
📈 How It Works
At every bar, the script checks whether a new aggregation interval has begun (aligned to the day start). If so, it finalizes the previous candle and starts a new one. On the last bar of the chart, it ensures the final synthetic candle is drawn.
✅ Tip
For best results, apply this script on intraday timeframes and experiment with different aggregation factors (4, 6, 12, etc.) to discover the most insightful compression for your strategy.
Note: This script is optimized for visual representation only. It does not repaint, but it is not intended for algorithmic strategies or alerts.
Trend Signals StrategyThis strategy is designed to follow the dominant market trend and only take trades in the direction of that trend. It uses two moving averages for trend detection and candlestick confirmation for entries. The strategy can be used on any timeframe but works best on 15m to 1H for intraday trading.
CVD Divergence & Volume ProfileThis Pine Script indicator, named "CVD Divergence & Volume Profile," is designed to identify potential trading opportunities by combining Cumulative Volume Delta (CVD) divergence with Volume Profile levels and an optional Simple Moving Average (SMA) trend filter. It plots signals directly on the price chart.
Here's a breakdown of what each component does and how to potentially trade with it:
1. Cumulative Volume Delta (CVD) Divergence
What it does: CVD measures the cumulative difference between buying and selling volume. A rising CVD indicates more buying pressure, while a falling CVD indicates more selling pressure. Divergence occurs when the price action contradicts the CVD's direction, suggesting a potential shift in momentum or trend reversal.
Bearish Divergence: The price makes a higher high, but the CVD makes a lower high (or fails to make a new high). This suggests that despite the price increasing, the underlying buying pressure is weakening.
Bullish Divergence: The price makes a lower low, but the CVD makes a higher low (or fails to make a new low). This suggests that despite the price decreasing, the underlying selling pressure is weakening.
Visualization:
Red triangle pointing down on the chart indicates a Bearish Divergence signal.
Green triangle pointing up on the chart indicates a Bullish Divergence signal.
2. Volume Profile Levels (VAH, VAL, POC)
What it does: The indicator calculates simplified Volume Profile levels over a user-defined vp_range (number of candles). These levels represent areas where significant trading activity has occurred:
VAH (Value Area High): The upper boundary of the "Value Area," where 70% of the volume traded.
VAL (Value Area Low): The lower boundary of the "Value Area," where 70% of the volume traded.
POC (Point of Control): The price level within the vp_range where the most volume was traded.
Significance: These levels often act as significant support and resistance zones.
Visualization:
Orange lines for VAH and VAL.
Yellow line for POC.
Zone Proximity (zone_thresh): The indicator only generates divergence signals if the current close price is within a specified percentage zone_thresh of either VAH, VAL, or POC. This filters signals to areas of high liquidity and potential turning points.
3. Trend Filter (SMA)
What it does: This is an optional filter (use_trend_filter) that uses a Simple Moving Average (sma_period, default 200).
Significance: It helps ensure that divergence signals are traded in alignment with the broader market trend, potentially increasing their reliability.
For long signals (bullish divergence), the price (close) must be above the SMA (indicating an uptrend).
For short signals (bearish divergence), the price (close) must be below the SMA (indicating a downtrend).
Visualization: A blue line on the chart representing the SMA.
How to Trade with It (Potential Strategies)
The indicator aims to provide high-probability entry points by combining multiple confirming factors. Here's how you might interpret and trade the signals:
Identify Divergence: Look for the triangle signals on your chart (red for bearish, green for bullish).
Confirm Proximity to Volume Profile Levels: The signal itself confirms that the price is near a significant Volume Profile level (VAH, VAL, or POC). These are areas where price often reacts.
Bullish Signal (Green Triangle): This suggests buying momentum is returning after a price decline, especially when the price is near VAL or POC, which might act as support.
Bearish Signal (Red Triangle): This suggests selling momentum is increasing after a price rally, especially when the price is near VAH or POC, which might act as resistance.
Check Trend Alignment (SMA Filter):
For a long trade: You would ideally want to see a green triangle (bullish divergence) while the price is above the blue SMA line. This indicates a bullish divergence confirming a potential bounce within an existing uptrend.
For a short trade: You would ideally want to see a red triangle (bearish divergence) while the price is below the blue SMA line. This indicates a bearish divergence confirming a potential rejection within an existing downtrend.
Entry and Exit Considerations:
Entry: Consider entering a trade on the candle where the signal appears, or on the subsequent candle for confirmation.
Stop Loss: For a long trade, a logical stop-loss could be placed below the lowest point of the divergence, or below the VAL/POC if the signal occurred near it. For a short trade, above the highest point of the divergence or VAH/POC.
Take Profit: Targets could be set at the opposite Volume Profile level, previous swing highs/lows, or using a fixed risk-reward ratio.
Example Trading Scenario:
Long Trade: You see a green triangle (bullish divergence) printed on the chart. You notice the price is currently at the VAL (orange line). You check the blue SMA line and confirm that the price is above it (uptrend). This confluence of factors (bullish divergence, support at VAL, and uptrend) provides a strong potential long entry signal. You might enter, place your stop loss just below VAL, and target VAH or the next resistance level.
Short Trade: You see a red triangle (bearish divergence). The price is at the VAH (orange line). The price is also below the blue SMA line (downtrend). This suggests a potential short entry. You might enter, place your stop loss just above VAH, and target VAL or the next support level.
Regression Channel (Interactive)Weighted Interactive Regression Channel (WIRC)
Overview
The Weighted Interactive Regression Channel improves on traditional regression channels by emphasizing key price points through intelligent weighting. Instead of treating all candles equally, WIRC adapts to market dynamics for better trend detection and channel accuracy.
Key Differences from Standard Channels
Weighted vs. Equal: Prioritizes significant events over uniform weighting
Dynamic vs. Static: Adapts in real time to market changes
Accurate vs. Basic: Reduces noise, enhances signal clarity
Customizable vs. Fixed: Full control over weights and visuals
Weighting Methods
Direction Change – Highlights reversal points via local peaks/troughs
Volume-Based – Emphasizes high-volume candles, ideal for breakouts
Price Range – Weights wide-range candles to capture volatility
Time Decay – Prioritizes recent data for current market relevance
Interactive Features
Data Range: Set channel start/end over 1–500 bars
Visuals: Line styles, color coding, fill options, reference lines
Stats: Slope, R², standard deviation, point count, weight method
Technical Implementation
Weighted Regression Formula: Uses weights for slope, intercept, and deviation
Channel Lines: Center = weighted regression; bounds = ± deviation × multiplier
Usage Scenarios
Trend Analysis: Use Direction Change + longer range
Breakouts: Use Volume weighting + fill + boundary watching
Volatility: Apply Price Range weighting + monitor standard deviation
Current Market: Use Time Decay + shorter ranges + stat display
Parameter Tips
Channel Width:
Narrow (1.0–1.5): Responsive
Standard (1.5–2.0): Balanced
Wide (2.0–3.0+): Conservative
Weighting Intensity:
Conservative (1.5–2.0)
Moderate (2.0–3.0)
Aggressive (3.0+)
Advanced Use
Multi-Timeframe: Use different weightings per timeframe
Market Structure: Detect swings, institutional zones
Risk Management: Dynamic S/R levels, volatility-driven sizing
Best Practices
Start with Direction Change
Test different ranges
Monitor stats
Combine with other indicators
Adjust to market context
Recalibrate regularly
Conclusion
WIRC delivers a smarter, more adaptive view of price action than standard regression tools. With real-time customization and multiple weighting options, it’s ideal for traders seeking precision across strategies—trend tracking, breakout confirmation, or volatility insight.
3 EMA Trend Strategy (Locks Trailing Stop Tightening)3 EMA Trend Strategy (with Trailing Stop Tightening)
This open-source strategy uses three Exponential Moving Averages (7, 21, 35) to detect bullish alignment and trigger long entries during strong upward trends.
* Entry Logic:
A long trade is triggered when EMA 7 > EMA 21 > EMA 35. This alignment signals a confirmed uptrend.
* Exit Logic:
The strategy uses a trailing stop mechanism.
An initial stop (e.g., 10%) follows the high since entry.
Once profit reaches a customizable threshold (e.g., 20%), the trailing stop tightens (e.g., to 5%) to help lock in gains.
* Backtest Settings (default):
Starting capital: $10,000
Commission: 0.1%
Slippage: 1 tick
Position sizing: 100% of equity per trade (can be reduced to lower risk)
* Customization:
All trailing logic and EMA settings are configurable.
Designed for swing trading and adaptable for multiple timeframes.
⚠️ This is for educational purposes only. Always test on different symbols and timeframes before using in live environments.
Fair Value Gap with Advanced FibonacciFair Value Gap with Advanced Fibonacci — Indicator Description
The Fair Value Gap with Advanced Fibonacci indicator combines the concept of price inefficiencies (Fair Value Gaps, or FVGs) with customizable Fibonacci levels for deeper market structure analysis.
🔍 Core Features:
Fair Value Gap Detection
Automatically identifies FVGs based on market imbalances (typically where a candle's wick does not overlap with the prior candle’s body/wick).
Highlights gaps visually with shaded regions on the chart.
Options to filter by bullish, bearish, or both types of FVGs.
Advanced Fibonacci Integration
Dynamically draws Fibonacci retracement levels from the FVG zone, such as from the top to bottom (or vice versa) of the gap.
Allows full customization of Fibonacci levels:
Adjust line thickness and color for each level.
Toggle visibility of specific levels.
Define custom Fib ratios or use default (0.0, 0.236, 0.382, 0.5, etc.).
Flexible Labeling & Layout
Text labels (e.g., price level, percentage, or custom text like “XYZ entfernt”) can be:
Positioned left or right of the Fib lines,
Aligned above or below the lines,
Optionally anchored inside or outside the chart window.
Avoids visual clutter by offering dynamic positioning to prevent overlap with candles or other indicators.
Alerts & Conditions (Optional)
Can trigger alerts when price enters or exits a Fair Value Gap zone.
Can be extended with confluences such as volume spikes, RSI levels, or order blocks.
by Virtuouss
DB1800 Gann Angle Levels Table (CMP Based)Gann Angles for Resistance and Support
2 = 360 degree for 1 month
1 = 180 degree for 1 week
0.5 = 90 degree for 1 to 2 days
0.25 = 45 degree for next day
0.125 = 22.5 degree for more granular than next day (scalping)
The only thing that multiplies when you share it is knowledge.
Inspired by Sudhir Sharma Sir
www.youtube.com
Fractals (Customizable)This indicator finds fractals on the chart with customizable numbers of candles to the left and right of the central candle. It marks local highs (fractal highs) and lows (fractal lows) using arrows directly on the chart.
Polynomial Deviation BandsThis indicator applies polynomial regression of selectable degree (1st to 4th) to recent price data, fitting a smooth curve that models the underlying price trend more flexibly than linear regression.
Around this polynomial regression line, it plots dynamic deviation bands calculated using a variety of selectable methods—including standard deviation, mean/median absolute deviation, exponential deviation, true range deviation, Hull, Frama, Kaufman adaptive, Gaussian weighted, and quantile deviation—providing a comprehensive view of price volatility and dispersion.
Key Features:
Polynomial regression fit updated on each bar, capturing nonlinear price trends.
Multiple deviation calculation options allow customization of band sensitivity and robustness.
Bands adjust dynamically to changing volatility and price behavior.
Overlay on price chart with optional candle coloring based on trend signals derived from price relative to bands.
Trend signals indicated by price crossing upper or lower bands.
Useful for identifying trend direction, potential support/resistance, and volatility expansion/contraction.
This tool combines advanced statistical modeling with flexible volatility measures to help traders better understand price structure and make informed trading decisions.
The indicator is computationally efficient despite polynomial fitting and offers extensive customization for diverse trading styles and markets.
Disclaimer
Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute investment advice. Trading involves risk and may result in financial loss. Always perform your own research and consult with a qualified financial advisor before making any trading decisions.