ORB Breakout Strategy📊 Overview
📈 Systematic intraday Opening Range Breakout (ORB) strategy
🧭 Designed for index CFDs (e.g. US500)
⏱️ Optimized for 5-minute charts during regular trading hours
🛡️ Strict risk management and position sizing
🚦 Maximum one trade per day
💡 Core Idea
🌅 The market establishes a key price range shortly after the open
🚀 A confirmed breakout from this opening range can signal directional momentum
🎯 The strategy trades only confirmed breakouts with predefined risk
📐 Opening Range Definition
⏰ Opening range is defined between 09:30 and 09:45 (exchange time)
🕯️ Uses the first three 5-minute candles of the session
⬆️ Opening Range High is the highest high of those candles
⬇️ Opening Range Low is the lowest low of those candles
🟢 Long Trade
📊 A 5-minute candle closes above the Opening Range High
🟩 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier
🧲 A buy limit order is placed at the Opening Range High
🔴 Short Trade
📉 A 5-minute candle closes below the Opening Range Low
🟥 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier
🧲 A sell limit order is placed at the Opening Range Low
🛑 Stop Loss
📉 Long trades use the low of the candle 10 minutes before the breakout
📈 Short trades use the high of the candle 10 minutes before the breakdown
🎯 Take Profit
⚖️ Fixed reward-to-risk ratio of 2:1
📏 Take profit distance equals two times the stop loss distance
💰 Position Sizing
💵 Fixed dollar risk per trade (default: $2,000)
📐 Position size is calculated dynamically based on stop loss distance
🔁 Risk remains consistent across changing volatility conditions
⏳ Trade Management Rules
🚦 Maximum one trade per day, including same-bar entries and exits
🕛 No new entries after 12:00 (exchange time)
⏰ All open positions are closed at 15:50
❌ Pending orders are cancelled after the entry cutoff or at session end
⚙️ Execution & Costs
💸 Commission model can be configured in the strategy settings
🧪 Backtests use TradingView Strategy Tester mechanics
📝 Notes
📚 This is a rules-based trading strategy, not a signal service
🔍 Results depend on instrument, broker feed, spreads, and commissions
🧠 Forward testing is strongly recommended before live trading
⚠️ Disclaimer
📖 This script is provided for educational and research purposes only
🚫 It does not constitute financial advice
🔥 Trading leveraged instruments involves significant risk
Bandas y canales
Reversal RadarReversal Radar
Unified exhaustion detection across 5 distinct reversal patterns — see confluence at a glance.
What It Does
Reversal Radar consolidates 5 independent reversal detection algorithms into a single indicator with a stacked diamond visualization. When any detector fires, you see a vertical stack of diamonds — colored diamonds show which specific patterns triggered, ghost (white) diamonds show which didn't.
More colored diamonds = stronger confluence = higher conviction setup.
The 5 Detectors
Diamond Detector What It Finds
🔴 Red Liquidity Trap Pivot reversal with wick rejection, liquidity sweep, and momentum trap (fading trapped traders)
🟠 Orange Structural Divergence Pivot at new extreme with RSI divergence against major structure
🔵 Light Blue Band Rejection Full candle body outside Bollinger Bands with rejection wick
🟢 Green Panic Snap 5-bar waterfall (consecutive lower lows) snapping back during VIX spike — Long only
🟣 Purple Capitulation Engulf Bullish engulfing at lower BB with steep band decline during elevated VIX — Long only
How To Read It
Long Signals (below bar): 5-diamond stack
• Bottom to top: Liquidity Trap → Structural Divergence → Band Rejection → Panic Snap → Capitulation Engulf
Short Signals (above bar): 3-diamond stack
• Bottom to top: Band Rejection → Structural Divergence → Liquidity Trap
Ghost diamonds (faded white) = that detector did NOT fire Colored diamonds = that detector fired
Colors are consistent between long and short — same detector = same color regardless of direction.
Key Features
• Confluence visualization — instantly see how many independent patterns agree
• No parameter tweaking — all detector settings are pre-tuned and hardcoded
• VIX-aware — the two "capitulation" detectors (Panic Snap, Capitulation Engulf) only fire during elevated VIX conditions
• Session filtering — built-in BOD/EOD blocking to avoid noisy open/close periods
• MTF Bias Table — optional multi-timeframe trend bias display (5m/15m/1H/4H/D)
• Detector Legend — on-chart reference showing what each color means (adjustable size and position)
• Bollinger Bands — optional BB overlay display
Settings
Module Toggles — Enable/disable each of the 5 detectors independently:
• Enable Liquidity Trap
• Enable Structural Divergence
• Enable Band Rejection
• Enable Panic Snap (Long Only)
• Enable Capitulation Engulf (Long Only)
Session Blocking — Define trading session and minutes to block at open/close
Display — Toggle Bollinger Bands, MTF Bias Table position
Legend — Toggle detector legend, adjust position and text size (tiny/small/normal)
Best Used For
• Identifying high-probability reversal zones where multiple exhaustion signatures align
• Filtering out weak signals (single detector) vs strong setups (2-3+ detectors)
• Spotting capitulation bottoms during VIX spikes (Panic Snap + Capitulation Engulf)
• Mean reversion plays at Bollinger Band extremes
Notes
• This indicator is designed for intraday reversal trading on liquid instruments (SPY, QQQ, ES, NQ, etc.)
• The VIX-gated detectors (Panic Snap, Capitulation Engulf) are long-only by design — they're specifically tuned for capitulation bottoms
• Works best on 3m-15m timeframes
• All detector parameters are locked to tested values — this is intentional to keep the indicator simple and consistent
"When multiple exhaustion patterns converge, the market is telling you something."
HAP Trend CageHAP Trend Cage – Visual Band & Stochastic Entry System
HAP Trend Cage is a pure visual overlay indicator designed to show when price is trapped inside dynamic bands — and when momentum timing aligns for a potential entry.
This is not Bollinger Bands.
These bands are built to contain price behavior, not volatility expansion.
🔹 What it shows:
Dynamic price bands plotted directly on the chart
Clear visual zones where price is compressed or held
Stochastic (14, 3, 3) used purely for entry timing
Exact candle awareness — you see where and when the signal happens
🔹 How to use:
Follow the bands visually — price inside the cage = structure intact
Wait for Stochastic alignment inside or near band boundaries
Designed for confirmation, not prediction
No clutter, no repainting, no over-signaling
🔹 Why it’s different:
Focuses on market structure first
Momentum is used only as a timing tool
Built for traders who trust price behavior over indicators
This indicator does not tell you to buy or sell.
It shows you where the market is constrained — and lets you decide when to act
RSI Divergence Indicator (Multi-Time Frame Confirmation)This custom-built RSI indicator blends traditional divergence detection with multi-timeframe trend confirmation, offering traders a smarter way to spot meaningful momentum shifts.
MAD Supertrend [Alpha Extract]A sophisticated SuperTrend implementation that replaces traditional ATR calculations with Mean Absolute Deviation methodology for adaptive volatility measurement and band construction. Utilizing SMA baseline with MAD-based deviation bands and optional adaptive factor adjustments, this indicator delivers institutional-grade trend detection with strength-based filtering and dynamic visual feedback. The system's MAD approach provides superior noise reduction compared to ATR while maintaining responsiveness to genuine volatility changes, combined with momentum-based strength calculations for high-conviction signal generation.
🔶 Advanced MAD-Based Band Construction
Implements Mean Absolute Deviation calculation as volatility proxy, measuring absolute price deviations from mean and smoothing for stable band generation without ATR dependency. The system calculates SMA baseline, computes MAD from configurable lookback period, applies factor multipliers to create upper and lower bands, then implements classic SuperTrend ratcheting logic where bands only adjust when price violates previous levels or calculations warrant updates.
// Core MAD SuperTrend Framework
SMA_Value = ta.sma(src, SMA_Length)
Mean = ta.sma(src, MAD_Length)
Abs_Deviation = abs(src - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Band Construction with Ratcheting
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
// Ratcheting logic prevents premature band adjustments
🔶 Adaptive Factor Adjustment Engine
Features optional adaptive multiplier system that modulates MAD factor based on normalized MAD magnitude relative to recent extremes, creating bands that automatically expand during high-volatility regimes and contract during consolidation. The system applies min-max normalization to MAD values over configurable lookback, multiplies by adaptation parameter, and adds to base factor for dynamic volatility sensitivity without manual recalibration.
🔶 Momentum-Based Strength Filter
Implements sophisticated strength calculation measuring price momentum relative to baseline divided by volatility-adjusted MAD bands, producing normalized 0-1 strength scores with exponential smoothing. The system calculates distance from SMA baseline, normalizes by MAD-derived band width, and applies configurable minimum threshold requiring sufficient momentum before trend signals activate, filtering weak or choppy market conditions.
🔶 SuperTrend Direction Logic
Utilizes classic SuperTrend methodology adapted for MAD bands where trend direction flips on opposite band violations with state persistence until confirmation. The system tracks whether price closes above upper band (bearish flip to bullish) or below lower band (bullish flip to bearish), maintains directional state until opposing violation occurs, and generates binary +1/-1 trend signals suitable for systematic position management.
🔶 Intelligent Candle Sticking System
Provides advanced line positioning option that anchors SuperTrend line to candle wicks or bodies rather than pure calculation values for enhanced visual clarity. The system supports two modes: Wick (positions at high/low extremes based on trend direction) and Body (constrains line between calculation and candle extremes), creating cleaner chart presentation while maintaining mathematical integrity of underlying signals.
🔶 Dynamic Gradient Visualization Framework
Implements color intensity modulation based on smoothed strength calculations, transitioning from muted to vivid hues as momentum conviction increases. The system applies gradient interpolation using strength ratio, creating visual feedback where strong trending moves display intense colors while weak or consolidating conditions show faded tones across trend line, channel bands, and candle coloring for immediate regime assessment.
🔶 MAD Channel Architecture
Features volatility-adjusted channel bands centered on baseline or candle-stuck line with configurable multiplier for support/resistance visualization. The system calculates upper and lower bounds using MAD values scaled by adaptive factors and channel multipliers, applies dynamic transparency based on trend strength, and creates filled regions that intensify during strong trends and fade during weak conditions.
🔶 Multi-Layer Glow Effect System
Provides sophisticated line rendering with triple-layer plot system creating glow effect through progressively wider and more transparent outer layers. The system plots core trend line at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, creating visual depth and emphasis without cluttering chart space.
🔶 Strength-Based State Management
Implements intelligent trend state logic requiring both directional signal and minimum strength threshold breach before confirming trend transitions. The system calculates raw SuperTrend direction, evaluates smoothed strength against configurable minimum, generates filtered trend state that can be bullish (+1), bearish (-1), or neutral (0), and maintains state persistence using hold logic that prevents oscillation during ambiguous conditions.
🔶 Comprehensive Alert Integration
Generates trend flip alerts when filtered state transitions from bearish to bullish or bullish to bearish with full confirmation requirements satisfied. The system detects state changes through comparison with previous bar, triggers single alert per transition rather than continuous notifications, and provides customizable message templates for automated trading system integration or manual notification preferences.
🔶 Performance Optimization Architecture
Utilizes efficient calculation methods with null value handling, nz() functions preventing errors during initialization bars, and optimized gradient calculations. The system includes intelligent state persistence minimizing recalculation overhead, streamlined MAD computation avoiding redundant mean calculations, and smooth visual updates maintaining consistent performance across extended historical periods.
This indicator delivers sophisticated SuperTrend analysis through Mean Absolute Deviation methodology providing superior statistical properties compared to traditional ATR-based approaches. MAD calculations offer more robust volatility measurement resistant to extreme outliers while maintaining sensitivity to genuine market regime changes. The system's adaptive factor adjustment, momentum-based strength filtering, and dynamic visual feedback make it essential for traders seeking reliable trend-following signals with reduced false breakouts during choppy conditions. The combination of MAD bands, candle-sticking options, gradient strength visualization, and comprehensive filtering creates institutional-grade trend detection suitable for systematic approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities.
SB - Print MachineIntraday Trading, Observation - Nifty 50, Trade - Nifty Options, Buying only
Rules for Call Options Buying - Observe Nifty 50 Index
1. VWDEMA turns Green (Bullish).
2. VDema turns Green and crossing VWDEMA upside (Bullish).
3. ATR turns Green (Bullish)
4. VPC background turns Green (Bullish). Now Enter Call Side and enjoy the day....
Rules for Put Options Buying - Observe Nifty 50 Index
1. VWDEMA turns Red (Bearish).
2. VDema turns Red and crossing VWDEMA Downside (Bearish).
3. ATR turns Green (Bearish)
4. VPC background turns Red (Bearish). Now Enter Put Side and enjoy the day.....
Exit Rules - As per your own appitite :)
Settings :
VWDEMA Length - 44
VDEMA Length - 21
ATR Length - 14
ATR Multiplier - 1.5
BB - Ignore (Disable/Hide)
Pivot Calculation Method - Wick
Pivot Left Length (Low/High) - 4
Pivot Right Length (Low/High) - 1
Pivot Lebels - Enable All
Pivot Markers - Disable All
Pivot Values - Disable All
VPC Length - 14
VPC Time Frame - 3 Minutes
Main Chart Time Frame - 5 Minutes
Display Settings - As per your own eye comfort
Note - All/Many parameters used here are customisable and come with a dynamic colour coding(Different colour code for uptrend and downtrend)
Settings shared here are best suited to me in terms of output. You can check for your own the settings which suits you the best.
Good Luck !!
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following
Introduction
The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior.
Originality and Innovation
Distinct Methodological Approach
What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems.
Key Original Contributions:
Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise.
Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework.
Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture.
Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy.
Technical Implementation and Functionality
Core Operational Mechanism
DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades.
The Four-Pillar Architecture:
Volatility Measurement and Normalization
Calculates Average True Range (ATR) over a user-defined period
Converts absolute volatility to percentage terms relative to price
Compares current volatility against user-defined thresholds to filter suboptimal conditions
Dynamic Trailing Stop Algorithm
Establishes an initial stop distance based on current volatility
Implements a four-state adjustment mechanism that responds to price action
Maintains stop position during trend continuation while allowing for trend reversal detection
Conditional Signal Generation
Generates entry signals only when price action meets both directional and volatility criteria
Produces exit signals based on trailing stop penetration
Incorporates position state awareness to prevent conflicting signals
Comprehensive Feedback System
Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action
Displays real-time metrics through an integrated dashboard
Offers configurable visualization options for different trading styles
Specific Trend-Following Methodology
DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods:
Not a moving average crossover system (like MACD or traditional MA crosses)
Not a channel breakout system (like Bollinger Band or Donchian Channel breaks)
Not a momentum oscillator system (like RSI or Stochastic trend following)
Not a price pattern recognition system (like head-and-shoulders or triangle breaks)
Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that:
Wait for market volatility to reach actionable levels
Establish positions when price confirms directional bias through stop penetration
Manage risk dynamically based on evolving market conditions
Exit positions when the trend exhausts itself through stop violation
Practical Application and Usage
Market Environment Optimization
Ideal Conditions:
Trending markets with sustained directional movement
Medium volatility environments (neither excessively calm nor chaotic)
Timeframes: 4-hour to daily charts for optimal signal quality
Instruments: Forex majors, commodity futures, equity indices
Suboptimal Conditions:
Ranging or consolidating markets
Extreme volatility events or news-driven spikes
Very short timeframes (below 1-hour)
Illiquid or highly manipulated instruments
Parameter Configuration Strategy
Core Parameter Philosophy:
ATR Length (Default: 21 periods)
Controls the system's memory of volatility
Shorter lengths increase sensitivity but may cause overtrading
Longer lengths provide smoother signals but may lag during volatility shifts
ATR Multiplier (Default: 6.3x)
Determines the initial risk buffer
Lower values (4-5x) create tighter stops for conservative trading
Higher values (6-8x) allow for larger trends but increase drawdown risk
Volatility Threshold (Default: 1.5%)
Filters out low-quality trading environments
Adjust based on market characteristics (higher for volatile markets)
Acts as a quality control mechanism for signals
Trading Workflow and Execution
Signal Interpretation and Action:
Entry Protocol:
Wait for BLUE "BUY" signal label appearance
Confirm volatility conditions meet threshold requirements
Enter long position at market or next reasonable opportunity
Set initial stop at displayed dynamic stop level
Position Management:
Monitor dynamic stop line for position adjustment
Allow profits to run while stop protects capital
No manual adjustment required—system manages stop automatically
Exit Protocol:
Exit on ORANGE "SELL" signal label appearance
Alternative exit if price hits dynamic stop level
System will generate new entry signal if conditions warrant re-entry
Risk Management Integration:
Position sizing based on distance to dynamic stop
Volatility filter prevents trades during unfavorable conditions
Clear visual feedback on current risk exposure
Built-in protection against overtrading
Philosophical Foundation and Market Theory
Core Trading Principles
DATR-TS embodies several foundational market principles:
Volatility Defines Opportunity
Markets don't trend continuously—they alternate between trending and ranging phases
Volatility provides the energy for trends to develop and sustain
By measuring and filtering volatility, we can focus on high-probability trend phases
Risk Should Be Proportional
Fixed percentage stops ignore market context
Dynamic stops that adjust with volatility provide more appropriate risk management
Position sizing should reflect current market conditions, not arbitrary rules
Simplicity Through Sophistication
Complex systems often fail in real-world conditions
A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches
Clear visual feedback reduces cognitive load and emotional interference
Trends Persist Until Proven Otherwise
Markets exhibit momentum characteristics
Once a trend establishes itself, it tends to continue
The trailing stop methodology captures this persistence while providing exit mechanisms
Mathematical and Statistical Foundation
The system operates on several statistical market observations:
Volatility Clustering Phenomenon
High volatility periods tend to follow high volatility periods
Low volatility periods tend to follow low volatility periods
By filtering for adequate volatility, we increase the probability of capturing meaningful trends
Trend Magnitude Distribution
Most trends are small to medium in magnitude
Very large trends are rare but account for disproportionate returns
The dynamic stop methodology allows capture of varying trend magnitudes
Autocorrelation in Price Movements
Price movements exhibit short-term positive autocorrelation during trends
This persistence allows trailing stops to capture continued movement
The system leverages this characteristic without requiring explicit autocorrelation calculation
Performance Characteristics and Expectations
Typical System Behavior
Signal Frequency:
Low to moderate signal generation (prevents overtrading)
Signals concentrated during trending market phases
Extended periods without signals during ranging conditions
Risk-Reward Profile:
Win rate typically 40-60% in trending conditions
Average win larger than average loss
Risk-reward ratios of 1:2 to 1:3 achievable
Drawdown Patterns:
Controlled through volatility adjustment
Larger drawdowns during extended ranging periods
Recovery typically follows when trending conditions resume
Comparison with Alternative Approaches
Versus Moving Average Systems:
Less prone to whipsaws during ranging markets
Better adaptation to changing volatility conditions
Clearer exit signals through stop levels
Versus Channel Breakout Systems:
More responsive to emerging trends
Lower false breakout probability
Dynamic risk adjustment rather than fixed parameters
Versus Momentum Oscillator Systems:
Better trend persistence capture
Less susceptible to overbought/oversold false signals
Clearer position management rules
Educational Value and Skill Development
Learning Opportunities
DATR-TS serves as more than just a trading tool—it provides educational value through:
Market Condition Awareness
Teaches traders to distinguish between trending and ranging markets
Develops understanding of volatility's role in trading opportunities
Encourages patience and selectivity in trade execution
Risk Management Discipline
Demonstrates dynamic position sizing principles
Illustrates the importance of adaptive stops
Reinforces the concept of risk-adjusted returns
Psychological Skill Development
Reduces emotional trading through clear rules
Builds patience through conditional execution
Develops discipline through systematic approach
Customization and Evolution
The system provides a foundation for further development:
Beginner Level:
Use default parameters for initial learning
Focus on signal recognition and execution discipline
Develop understanding of system behavior across market conditions
Intermediate Level:
Adjust parameters based on specific market characteristics
Combine with complementary analysis techniques
Develop personal variations based on trading style
Advanced Level:
Integrate with portfolio management systems
Develop automated execution frameworks
Create derivative systems for specialized applications
Conclusion: The Modern Trend-Following Paradigm
The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically.
This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments.
For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following.
The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
DkSPro2.0 Universal Market Analysis Crypto + ForexDkSPro – Universal Market Analysis
Crypto & Forex | Institutional Structure | Bot-Ready Strategy
📌 Overview
DkSPro – Universal Market Analysis is a professional-grade trading strategy designed for both Crypto and Forex markets, built on institutional market structure, trend confirmation, and volume validation.
This strategy is optimized for scalping and intraday trading, focusing exclusively on high-probability setups by filtering out low-quality trades, ranging markets, and false breakouts.
Unlike generic indicators, DkSPro prioritizes precision, structure, and confirmation, making it ideal for traders who value consistency over overtrading.
🧠 What Makes DkSPro Different
✔ Institutional market structure (HH / HL / LH / LL)
✔ Trend-based EMA ribbon for directional bias
✔ Confirmed breakouts (no guessing)
✔ Volume validation (real market participation only)
✔ Adaptive logic for Crypto vs Forex
✔ Clean and clear BUY / SELL signals
✔ Fully BOT-READY (TradingView alerts & webhooks)
🔍 What This Strategy Analyzes
DkSPro combines multiple layers of confirmation to ensure only the highest-quality trades are executed:
• Higher-probability trend direction using EMA structure
• Price action and institutional market structure (HH, HL, LH, LL)
• Breakouts from recent key structure levels
• Momentum confirmation via RSI
• Volume strength adapted to market type (Crypto or Forex)
• Anti-overtrading logic (one signal per valid confirmation)
Trades are triggered only when all conditions align, significantly reducing false signals and emotional trading.
⚙️ Asset Type Logic (IMPORTANT)
The strategy automatically adapts its behavior based on the selected asset type:
🟢 CRYPTO Mode
• Designed for high-volatility markets
• Stronger volume confirmation filters
• Ideal for Binance, Binance.US, Bybit, OKX
• Best suited for XRP, BTC, ETH, SOL
🔵 FOREX Mode
• Optimized for high-liquidity, lower-volume markets
• Softer volume filtering logic
• Ideal for OANDA, FXCM, IC Markets, Pepperstone
• Best suited for EURUSD, GBPUSD, USDJPY, XAUUSD
⏱ Recommended Timeframes
✔ Crypto: 5m – 15m
✔ Forex: 15m – 1H
⚠️ The 1-minute timeframe is not recommended.
🤖 Automation & Bots
DkSPro is fully compatible with automation, making it ideal for both semi-automatic and fully automated trading systems:
• Clean BUY and SELL TradingView alerts
• One signal per confirmed setup
• Non-repainting logic
• Webhook-ready for external bots and APIs
🧪 Backtesting Recommendation
👉 Backtest for at least 2–4 weeks before live trading
👉 Test Crypto and Forex separately
👉 Adjust position sizing according to your risk management plan
🧠 Who This Strategy Is For
✔ Crypto & Forex scalpers
✔ TradingView users
✔ Structure-based traders
✔ Bot users and algorithmic traders
✔ Traders focused on risk control and consistency
⚠️ Risk Disclaimer
This strategy is a technical analysis tool, not financial advice.
Market conditions can change rapidly. Always manage risk properly and never trade with capital you cannot afford to lose.
🚀 Final Notes
DkSPro is not designed to trade every move — it is designed to trade the right moves.
When used with the recommended settings and timeframes, DkSPro delivers clean structure, precise signals, and institutional-grade confirmation across both Crypto and Forex markets.
H//@version=5
indicator("H", overlay=true)
// 設定計算的周期
length = input(30, title="Length")
// 計算最近的高點和低點
highestHigh = ta.highest(high, length)
lowestLow = ta.lowest(low, length)
// 畫出支撐和壓力線
line.new(x1=bar_index , y1=highestHigh, x2=bar_index, y2=highestHigh, color=color.red, width=2, extend=extend.right)
line.new(x1=bar_index , y1=lowestLow, x2=bar_index, y2=lowestLow, color=color.blue, width=2, extend=extend.right)
// --- SAR 計算與背景顏色 ---
sar = ta.sar(0.3, 0.3, 0.11)
bgcolor(close > sar ? color.new(color.red, 80) : color.new(color.green, 80))
// Hide the SAR plot by setting color with full transparency using `color.new`
plot(sar, style=plot.style_cross, color=color.new(color.blue, 100), linewidth=2)
// --- 定義時間範圍 ---
var int startHour = 8
var int startMinute = 45
var int endHour = 13
var int endMinute = 45
// 取得當前時間
currentTime = timestamp("GMT+8", year, month, dayofmonth, hour, minute)
startTime = timestamp("GMT+8", year, month, dayofmonth, startHour, startMinute)
endTime = timestamp("GMT+8", year, month, dayofmonth, endHour, endMinute)
// 價差計算
ix0001_price = request.security("IX0001", "1", close)
txf1_price = request.security("TXF1!", "1", close)
price_diff = (ix0001_price - txf1_price) / txf1_price
// 判斷條件：價差達到正或負0.004%且在指定時間範圍內
positive_condition = (price_diff >= 0.004) and (currentTime >= startTime) and (currentTime <= endTime)
negative_condition = (price_diff <= -0.004) and (currentTime >= startTime) and (currentTime <= endTime)
// 根據條件變更背景顏色
bgcolor(positive_condition ? color.new(color.red, 40) : na)
bgcolor(negative_condition ? color.new(color.green, 40) : na)
// --- KD Divergence Marker for 9,3 ---
k_9 = ta.sma(ta.stoch(close, high, low, 9), 3)
d_9 = ta.sma(k_9, 3)
var float lastHighPrice_9 = na
var float lastLowPrice_9 = na
var float lastHighKD_9 = na
var float lastLowKD_9 = na
isTopDivergence_9 = (k_9 > 93 and close < lastHighPrice_9 and k_9 < lastHighKD_9)
isBottomDivergence_9 = (k_9 < 15 and close > lastLowPrice_9 and k_9 > lastLowKD_9)
if ta.crossover(k_9, 97)
lastHighPrice_9 := high
lastHighKD_9 := k_9
if ta.crossunder(k_9, 15)
lastLowPrice_9 := close
lastLowKD_9 := k_9
plotshape(series=isTopDivergence_9, location=location.abovebar, color=color.orange, style=shape.labeldown, text="頂部轉折")
plotshape(series=isBottomDivergence_9, location=location.belowbar, color=color.green, style=shape.labelup, text="底部轉折")
// --- KD Divergence Marker for 14,3 ---
k_14 = ta.sma(ta.stoch(close, high, low, 14), 3)
d_14 = ta.sma(k_14, 3)
var float lastHighPrice_14 = na
var float lastLowPrice_14 = na
var float lastHighKD_14 = na
var float lastLowKD_14 = na
isTopDivergence_14 = (k_14 > 93 and close < lastHighPrice_14 and k_14 < lastHighKD_14)
isBottomDivergence_14 = (k_14 < 15 and close > lastLowPrice_14 and k_14 > lastLowKD_14)
if ta.crossover(k_14, 97)
lastHighPrice_14 := high
lastHighKD_14 := k_14
if ta.crossunder(k_14, 15)
lastLowPrice_14 := close
lastLowKD_14 := k_14
plotshape(series=isTopDivergence_14, location=location.abovebar, color=color.orange, style=shape.labeldown, text="頂部轉折")
plotshape(series=isBottomDivergence_14, location=location.belowbar, color=color.green, style=shape.labelup, text="底部轉折")
// --- Range Breakout ---
// Define the range
range_length = 23
highest_high = ta.highest(high, range_length)
lowest_low = ta.lowest(low, range_length)
// Determine if price is within the range
isInRange = (close >= lowest_low and close <= highest_high)
// Track when price re-enters the range after leaving it
var bool leftRange = false
if close < lowest_low or close > highest_high
leftRange := true
if leftRange and close >= lowest_low and close <= highest_high
leftRange := false
// Plot range only when price is within range
plot(isInRange and not leftRange ? highest_high : na, title="最高盤整區間", color=color.red, linewidth=1, style=plot.style_stepline)
plot(isInRange and not leftRange ? lowest_low : na, title="最低盤整區間", color=color.green, linewidth=1, style=plot.style_stepline)
// --- Volume Crossover Indicator ---
short_ma_length = 5
long_ma_length = 10
volume_multiplier = 3.5
short_ma_volume = ta.sma(volume, short_ma_length)
long_ma_volume = ta.sma(volume, long_ma_length)
current_volume_ratio = volume / short_ma_volume
crossover_condition = ta.crossover(short_ma_volume, long_ma_volume)
volume_condition = current_volume_ratio > volume_multiplier
plotshape(series=crossover_condition and volume_condition and isInRange, location=location.abovebar, color=color.red, style=shape.labelup, text="變盤")
Forensics V19: Ultimate S&D + VSAGood for chart
it will give indicatopn , dont trad with this please make study
SB - Print MachineIntraday Trading @ 5 Minutes TF -Observation @ Nifty 50 Index , Trade on - Nifty options
Rules : Call options (ATM) Entry :
1. VWDEMA is Green (Bullish)
2. Vdema is Green and Crossing VWDema upside (Bullish)
3. ATR Turns Green (Bullish)
4. Vwap Channel Background is Green
Put Options (ATM) Entry :
1. VWDEMA is RED (Bearish)
2. Vdema is Red and Crossing VWDema downside(Bearish)
3. ATR Turns Red (Bearish)
4. Vwap Channel Background is red
Settings :
VWDEMA - 44
VDema - 21
ATR - 14
ATR Multiplier - 1.5
BB - Skip
Pivot Calculation Method - Wick
Left length - 4
Right Length - 1
Pivot Lebels - Enable all
Pivot arkers - Skip All
Pivot Values - Skip All
VPC Length - 14
VPC Time Frame - 3 minutes
Main Chart Time Frame - 5 Minutes
Colour Display Settings : As per you eyes comfort. Parameters have dynamic colour coding (different for uptrend and downtrend, use accordingly)
Parameters here are customisable, Shared here is what I am using and getting good results. Test your settings which suits you best. Good Luck !!
MA 9 & MA 20 Crossover + EMA200 + CONFIRMED + RSI OB/OS (Alerts)Tesing this strategy. This will not work for all coins. this is short specific coins
VWAP Band PositionVWAP Band Position — Synopsis
VWAP Band Position is a session-based oscillator that measures where price is trading relative to volume-weighted VWAP deviation bands.
The indicator uses true VWAP logic with volume-weighted variance, resetting each trading session to ensure accurate intraday behavior.
Values are normalized on a 0–1 scale:
0.0 → price at the lower VWAP deviation band
0.5 → price at VWAP (fair value)
1.0 → price at the upper VWAP deviation band
Readings above 1.0 or below 0.0 indicate price extension beyond VWAP deviation, highlighting potential exhaustion, continuation, or mean-reversion conditions depending on market context.
This tool is designed for intraday traders who use VWAP as a primary reference and want a clear, normalized view of price location within the VWAP range. It works well alongside trend-strength or momentum indicators to help filter entries, manage risk, and identify high-probability trade zones.
200W SMA Dynamic Extension Bands (MTF, Auto Asset)Summary
200W SMA Dynamic Extension Bands is a multi-timeframe TradingView indicator that plots extension bands (multiples) around the 200-week simple moving average. It’s designed to work on any chart timeframe (1m → 1D → 1W) while anchoring the bands to the latest confirmed weekly data, so the long-term reference is consistent and non-repainting across timeframes.
This is a macro “valuation/temperature gauge” style tool: it helps you quickly see when the price is cheap vs. the 200W mean and when it is extended/expensive.
What it plots
The indicator always computes:
200-week SMA (weekly)
Band m2
Band m3
Band m4
Bands are defined as:
Bandk(t)=SMA200W(t)⋅mk
Where the multipliers mk are chosen automatically depending on the asset type (or manually via input).
Key features
Works on any timeframe: weekly SMA is fetched via request.security(..., "W", ...).
Non-repainting weekly anchor: uses barmerge.lookahead_off to avoid peeking into future weekly bars.
Auto asset presets:
Crypto: wider extensions (bigger cycles)
Gold: moderate extensions
Equities: tighter than crypto
FX: very tight extensions
Futures: moderate fallback
Zone coloring (optional):
Cheap zone (below 1×)
Fair zone (1× → m2)
Hot zone (m2 → m3)
Expensive zone (m3 → m4)
Info table (optional): shows selected preset, current multiple, and % extension vs 200W SMA.
Alerts (optional): “entered cheap” and “entered expensive” style triggers.
Presets (default multipliers)
These are intentionally conservative templates (tune to your market):
Crypto: 1.0,1.5,2.0,3.0
Gold: 1.0,1.2,1.5,2.0
Equities: 1.0,1.15,1.30,1.60
FX: 1.0,1.05,1.10,1.20
Futures: 1.0,1.25,1.50,2.00
Auto mode uses syminfo.type plus a simple heuristic for Gold tickers containing XAU / GOLD (because some platforms classify XAUUSD as forex).
How to use (practical)
Macro context / cycle temperature
Price below 1× (200W SMA): historically “cheap zone” for highly cyclical assets (especially BTC).
Price above m3: often “expensive/extended” and higher risk of mean reversion.
Not a standalone trading system
Use with trend confirmation (market structure), volume, and risk management.
Extensions can persist in strong trends—treat bands as regime context, not precise reversal points.
Settings you can change
SMA Length (Weeks): default 200
Band preset: Auto / Crypto / Gold / Equities / FX / Futures
Toggle:
Zone fills
Info table
Alerts
Included alertconditions:
Cross below 1× (entered cheap zone)
Cross above m3 (entered expensive zone)
High level guideline:
Green Zone: BUY (Below 1.0× - Undervalued)
Yellow Zone: HOLD (1.0× - 1.5× - Fair Value)
Orange Zone: CAUTION (1.5× - 2.0× - Getting Hot)
Red Zone: SELL (2.0× - 3.0× - Overvalued)
Notes / limitations
The “cheap/expensive” zones are heuristics. They do not guarantee future returns.
Auto classification is best-effort; if your symbol is unusual, set the preset manually.
For newly listed assets with limited weekly history, the 200W SMA may be na until enough data exists.
SB - Print MachineIntraday Trading (Buying Only), Observation - Nifty 50, Trade - Nifty options (ATM)
Rules Call Options (ATM):
1. VWDEMA turns Green (Bullish)
2. VDema turns Green and crossing VWDema upside (Bullish)
3. ATR turns Green (Bullish)
4. VCP background turns Green (Bullish)
Rules Put Options (ATM):
1. VWDEMA turns Red (Bearish)
2. VDema turns Red and crossing VWDema downside (Bearish)
3. ATR turns Red (Bearish)
4. VCP background turns Red (Bearish)
Indicator Settings :
1. VWDEMA Length - 44
2. VDema Length - 21
3. ATR Length - 14
4. ATR Multiplier - 1.5
5. BB - Ignore and Skip (Hide)
6. Pivot Calculation Method - Wick
7. Pivot Left Length (Low/High) - 4
8. Pivot Right Length (Low/High) - 1
9. Pivot Levels - Enable All
10. Pivot Markers - Disable
11. Pivot Values - Disable
12. VPC Length - 14
13. VPC Time Frame - 3 Minutes
14. Main Chart Time Frame - 5 Minutes
Display Settings : As per your eye comfort
Note - All settings are customisable here and most are with dynamic colour code (Different colours for upside and downside movement)
Setting shown here are used by me and deliver good results to me only, you can find out your own settings which suits you the best.
Good Luck !!
GS Quantum Radar [Elite Aesthetic - Bilingual]GS Quantum Radar / GS 量子雷達
Overview / 概述
Inspired by the quantum physics concept of "Ghostly action at a distance," the GS Quantum Radar is a high-end quantitative tool designed to capture the hidden correlations between two entangled assets (e.g., 2330.TW vs. TSM, or NVDA vs. AI sector). It identifies "Quantum Tension"—statistical deviations that signal imminent mean reversion or breakout opportunities.
受量子力學中**「幽靈般的遠距作用」**啟發，GS 量子雷達是一款專為捕捉資產間隱藏關聯而設計的高階量化工具（例如台積電與 TSM ADR，或 NVDA 與 AI 類股）。它能識別「量子張力」——即統計學上的異常偏離，預示著即將到來的均值回歸或突破機會。
Core Logic / 核心邏輯
The indicator operates on Statistical Arbitrage principles using a dynamic Z-Score model:該指標基於統計套利原理，採用動態 Z-Score 模型：
Entanglement Strength (Correlation) / 糾纏強度（相關性）： It measures how synchronized the two assets are. Signals are only valid when the correlation is high, ensuring you aren't trading noise.衡量兩項資產的同步程度。僅在相關性高時訊號才有效，確保您避開市場雜訊。
Quantum Tension (Z-Score) / 量子張力 (Z-Score)： Using the formula $Z = \frac{x - \mu}{\sigma}$, it calculates the price ratio deviation.透過公式 $$Z = \frac{x - \mu}{\sigma}$$
計算價差比率的偏離值。
$Z > +2$ (Red Column / 紅色柱狀): Particle A is overstretched (Overvalued). / 資產 A 擴張過度（相對高估）。
$Z < -2$ (Green Column / 綠色柱狀): Particle A is compressed (Undervalued). / 資產 A 壓縮過度（相對低估）。Shutterstock探索
Key Features / 主要功能
Bilingual Cyberpunk Dashboard / 中英雙語賽博龐克儀表板: Real-time monitoring of network status, entanglement strength, and tension levels with intuitive scale bars.即時監控網路狀態、糾纏強度與張力水平，配備直觀的比例尺進度條。
Aesthetic UI / 視覺美學: Designed with a Neon-Tokyo palette. Optimized for Dark Mode with a focus on high-density information display.採用霓虹東京配色。專為深色模式優化，專注於高密度資訊顯示。
Taiwan Style Color / 台股配色慣例: Red for Bullish/Up, Green for Bearish/Down.符合台股習慣：紅漲、綠跌。
How to Use / 如何使用
Select your pair / 選擇對象: Load the script on your primary chart (e.g., 2330.TW) and input the "Entangled Particle" (e.g., NASDAQ:TSM) in settings.在主圖表（如 2330.TW）掛載腳本，並在設定中輸入「糾纏對象」（如 NASDAQ:TSM）。
Monitor the Status / 監控狀態: Look for "STRONG BUY" or "TAKE PROFIT" advisories on the dashboard.觀察儀表板上的「強力買進 (STRONG BUY)」或「獲利了結 (TAKE PROFIT)」建議。
Execute / 執行交易: Enter when the "Quantum Tension" hits the $\pm 2.0$ thresholds while "Entanglement" is full.當「量子張力」達到 $\pm 2.0$ 臨界點且「糾纏強度」滿格時進場。
Disclaimer / 免責聲明Trading involves significant risk. This indicator is a statistical tool for decision support and does not guarantee profits. Use with proper risk management.交易涉及重大風險。本指標為輔助決策的統計工具，不保證獲利。請配合適當的風險管理使用。
EMA as Support/Resistance with Backtests (by Visual Sectors)Knowing what works for a specific stock is the game changer!
This script returns 3 years' backtest of EMA acting as Support or Resistance
Wins and Losses are defined as closing above/below the EMA 50. Settings can be changed to any EMA length.
Actionability is % of time EMA was within range, so a EMA 500 will have very low actionability, while EMA 5 - extremely high
RSI with Chart Background ZonesRSI with Chart Background Zones
Red overlay indicates that the stock is in the over bought territory and the green indicates that the stock is in the over sold territory.
Premarket + Previous Day High/LowPremarket & Previous Day High/Low Indicator for TradingView
This TradingView script displays two essential sets of price levels to help identify key support and resistance zones throughout the trading day:
🔍 What it Does
Premarket High/Low Levels
Tracks the high and low price between 4:00 AM and 9:30 AM EST (premarket session).
Once the market opens, it locks in those levels and plots them across the rest of the trading day for easy reference.
Helps you spot potential breakouts, rejections, or support/resistance around early session extremes.
Previous Day High/Low Levels
Displays the prior day’s high and low using data from the daily timeframe.
Useful for identifying major zones where price might bounce, reverse, or consolidate.
🎯 How Traders Use It
Identify potential gap fills, breakouts, or fakeouts.
Build trading setups using price action around key zones.
Combine with other indicators (RSI, volume, EMA, etc.) for confluence.
Use for risk management or stop loss placement near known levels.
DkSPro Market Analysis XRPUSDT UsBinance HH HL LH LLDkSPro – Market Analysis (XRPUSDT) | Strategy Version
DkSPro – Market Analysis is an institutional-grade scalping strategy designed specifically for XRPUSDT on Binance.US.
This strategy was built to help traders make high-probability, fee-aware decisions by filtering out low-quality trades, market noise, and conditions where exchange fees would negatively impact profitability.
Unlike generic indicators, DkSPro focuses on precision, confirmation, transparency, and risk control, making it ideal for serious traders who value consistency over overtrading.
⸻
✅ Key Advantages
✔ Institutional-grade logic
✔ Optimized for XRPUSDT scalping
✔ Clearly explains why trades are taken or rejected
✔ Actively reduces bad and low-quality trades
✔ Professional structure, easy to publish, sell, or automate
⸻
🔍 What This Strategy Analyzes
DkSPro combines past market structure with real-time confirmation tools to evaluate both the present and historical context of price action:
• Higher Timeframe trend confirmation using EMA structure
• Lower Timeframe execution for precise scalping entries (15m / 5m)
• Market structure analysis (swing highs & lows)
• Valid breakout detection (not fake moves)
• Volume confirmation (real participation only)
• Momentum validation via RSI
• Fee-aware filtering for Binance.US (0.57% trading fee)
• Dynamic confidence scoring to validate trade quality
Trades are triggered only when all conditions align, significantly reducing false signals and emotional entries.
⸻
⚙️ Core Strategy Logic
A trade is executed only if all of the following conditions are met:
✔ Trend direction is clearly confirmed
✔ EMA structure is properly aligned
✔ Market structure breakout is valid
✔ Volume exceeds average participation
✔ Momentum supports continuation
✔ Confidence score meets minimum quality threshold
✔ Expected price movement exceeds exchange fees
If any single condition fails, the strategy does not enter a trade.
⸻
🧠 Smart Trade Transparency
DkSPro visually explains:
• Why a trade is taken
• Why a trade is NOT taken
• Current Market State (RANGE / TREND / BREAKOUT)
• Real-time Confidence Score (%)
This allows traders to fully understand market behavior instead of blindly following signals.
⸻
🔔 Alerts & Automation Ready
• Clean and precise BUY & SELL alerts
• Fully compatible with TradingView alerts
• Ready for webhooks, bots, and automated execution
• Suitable for manual, semi-automatic, or fully automated trading
⸻
⚠️ FINAL RECOMMENDATION (VERY IMPORTANT)
👉 Use the 15-minute timeframe to identify setups
👉 Use the 5-minute timeframe for precise trade entries
👉 Do NOT start testing this strategy on the 1-minute timeframe
👉 Always backtest for a minimum of 2–4 weeks before trading live
This strategy performs best under proper timeframe alignment and controlled conditions. Ignoring these recommendations may lead to inconsistent results.
⸻
🧠 Who This Strategy Is For
✔ XRP scalpers
✔ Binance.US traders
✔ Traders who want fee-aware entries
✔ Traders who prefer confirmation over guessing
✔ Traders focused on consistency, discipline, and risk management
⸻
⚠️ Risk Disclaimer
This strategy is a technical analysis tool, not financial advice.
Market conditions can change rapidly. Always manage risk properly and **never trade with capital
Ichimoku Cloud Breakout [Full System + Black Labels]Ichimoku Cloud Breakout & Twist System This indicator implements a disciplined Ichimoku Cloud Breakout strategy designed to filter noise and capture high-probability trends. Unlike simple crossovers, it enforces a "Triple Confluence" setup: price must break the Cloud, the Future Cloud must match the trend direction, and the Chikou Span (Lagging Span) must be free of past price traffic to confirm momentum. To keep your charts clean, it features a State Filter that blocks repetitive alerts (alternating Buy/Sell signals only) and includes a predictive "Twist Ahead" warning system, which visually alerts you to future Cloud twists, often a precursor to reversals or volatility, 26 periods in advance.
Gold Futures Prop-Firm Strategy (GC) 1-18-2026Overview
This is a long-only, session-based, multi-regime trading strategy designed specifically for Gold futures (GC / GC1!) on intraday timeframes (typically 5–15 minutes).
The strategy aims to capture high-probability moves during the New York and Asian sessions while avoiding major economic news events and enforcing strict daily risk limits — making it suitable for prop firm challenges (e.g. FTMO, FundedNext, Apex, etc.) that require consistent profitability, limited drawdown, and disciplined risk management.
Core Philosophy
Trade longs only (shorts were removed after analysis showed they were consistently unprofitable)
Different logic depending on session and market regime (trending vs ranging)
Heavy filtering using trend strength (ADX), volume confirmation, EMA alignment, Bollinger Bands, and RSI
Strict position sizing, daily loss cap, per-session trade limits, and news blackout periods
Trailing stop mechanism to let winners run while protecting against reversals
Trading Sessions & Time Windows (Eastern Time)
NY Session: 08:30 – 15:00 ET
NY AM (trend/breakout zone): 08:30 – 11:30 ET
NY PM (mean-reversion zone): 11:30 – 15:00 ET
Asia Session (mean-reversion zone): 18:00 – 02:00 ET
News blackouts: short windows around high-impact releases (CPI/NFP, ISM/Fed, FOMC)
Entry Logic (Long Only)
NY AM – Trend Following & Breakouts (strongest trend filter)
ADX > 30 (strong trend)
Price above 200 EMA (bull regime)
Fast EMA (21) crosses above Slow EMA (55) or breakout above 20-bar high
Volume spike (> 1.4 × 20-period SMA)
Max 2 trades per NY session per day
NY PM & Asia – Mean Reversion
ADX ≤ 30 (ranging market)
Price below lower Bollinger Band (20, 2.0)
RSI < 25 (deep oversold)
No volume filter required here
Max 2 trades per Asia session per day
Risk Management Rules
Position size: Fixed 1–2 contracts (user selectable)
Initial stop: 1.7 × ATR(14) below entry (tightened from original)
Trailing stop:
Activates after price moves +1.0 × ATR in profit
Trails by 1.0 × ATR (locked-in profits aggressively)
Daily loss limit: -$600 (stops all trading for the day once hit)
No trading during defined news windows
Pyramiding disabled (only one position at a time)
No short entries (removed after backtest analysis)
Indicators Used
EMA 21 / 55 / 200 (trend direction & filter)
ATR(14) × 0.85 (volatility base)
ADX(14) threshold 30 (strong trend confirmation)
Bollinger Bands (20, 2.0) for mean-reversion entries
RSI(14) with oversold < 25
Volume spike filter (1.4× SMA) for trend/breakout entries
20-bar highest high / lowest low for breakout detection
Visual Elements on Chart
Fast (blue), Slow (orange), and Filter (red) EMAs
Bollinger Bands (gray, semi-transparent fill)
Background coloring:
Red tint during news blackout periods
Purple tint when daily loss limit is hit
Intended Use Case
Prop trading firm evaluation accounts
Conservative intraday gold trading
Focus on high-quality long setups in trending (NY AM) and mean-reverting (Asia/PM) environments
Goal: positive expectancy with controlled drawdown, suitable for passing drawdown and profit targets
DkSPro2.0 Universal Market Analysis Crypto + ForexDkSPro – Universal Market Analysis
Crypto & Forex | Institutional Structure | Bot-Ready Strategy
📌 Overview
DkSPro – Universal Market Analysis is a professional-grade trading strategy designed for both Crypto and Forex markets, built on institutional market structure, trend confirmation, and volume validation.
This strategy is optimized for scalping and intraday trading, focusing exclusively on high-probability setups by filtering out low-quality trades, ranging markets, and false breakouts.
Unlike generic indicators, DkSPro prioritizes precision, structure, and confirmation, making it ideal for traders who value consistency over overtrading.
🧠 What Makes DkSPro Different
✔ Institutional market structure (HH / HL / LH / LL)
✔ Trend-based EMA ribbon for directional bias
✔ Confirmed breakouts (no guessing)
✔ Volume validation (real market participation only)
✔ Adaptive logic for Crypto vs Forex
✔ Clean and clear BUY / SELL signals
✔ Fully BOT-READY (TradingView alerts & webhooks)
🔍 What This Strategy Analyzes
DkSPro combines multiple layers of confirmation to ensure only the highest-quality trades are executed:
• Higher-probability trend direction using EMA structure
• Price action and institutional market structure (HH, HL, LH, LL)
• Breakouts from recent key structure levels
• Momentum confirmation via RSI
• Volume strength adapted to market type (Crypto or Forex)
• Anti-overtrading logic (one signal per valid confirmation)
Trades are triggered only when all conditions align, significantly reducing false signals and emotional trading.
⚙️ Asset Type Logic (IMPORTANT)
The strategy automatically adapts its behavior based on the selected asset type:
🟢 CRYPTO Mode
• Designed for high-volatility markets
• Stronger volume confirmation filters
• Ideal for Binance, Binance.US, Bybit, OKX
• Best suited for XRP, BTC, ETH, SOL
🔵 FOREX Mode
• Optimized for high-liquidity, lower-volume markets
• Softer volume filtering logic
• Ideal for OANDA, FXCM, IC Markets, Pepperstone
• Best suited for EURUSD, GBPUSD, USDJPY, XAUUSD
⏱ Recommended Timeframes
✔ Crypto: 5m – 15m
✔ Forex: 15m – 1H
⚠️ The 1-minute timeframe is not recommended.
🤖 Automation & Bots
DkSPro is fully compatible with automation, making it ideal for both semi-automatic and fully automated trading systems:
• Clean BUY and SELL TradingView alerts
• One signal per confirmed setup
• Non-repainting logic
• Webhook-ready for external bots and APIs
🧪 Backtesting Recommendation
👉 Backtest for at least 2–4 weeks before live trading
👉 Test Crypto and Forex separately
👉 Adjust position sizing according to your risk management plan
🧠 Who This Strategy Is For
✔ Crypto & Forex scalpers
✔ TradingView users
✔ Structure-based traders
✔ Bot users and algorithmic traders
✔ Traders focused on risk control and consistency
⚠️ Risk Disclaimer
This strategy is a technical analysis tool, not financial advice.
Market conditions can change rapidly. Always manage risk properly and never trade with capital you cannot afford to lose.
🚀 Final Notes
DkSPro is not designed to trade every move — it is designed to trade the right moves.
When used with the recommended settings and timeframes, DkSPro delivers clean structure, precise signals, and institutional-grade confirmation across both Crypto and Forex markets.
