Vegas Pro_邀請版Vegas Pro
Access Requirements To access this script, please follow these steps:
Register on MEXC using the link below.
Deposit at least 200 USDT.
Provide your email address to receive access.
Sign up link: www.mexc.com
Индикаторы и стратегии
Katik EMA BUY SELLThis strategy uses EMA 9, EMA 20, and EMA 200 to generate Buy and Sell signals.
BUY Conditions
EMA 9 crosses above EMA 20
Stoploss: Recent Swing Low
Target: EMA 9 touches or crosses EMA 200
SELL Conditions
EMA 9 crosses below EMA 20
Stoploss: Recent Swing High
Target: EMA 9 touches or crosses EMA 200
Features
Automatic Long & Short entries
Dynamic swing-based stoploss
Clear EMA plots with line width 3
Works on all timeframes
Profitable Pair Correlation Divergence Scanner v6This strategy identifies divergence opportunities between two correlated assets using a combination of Z-Score spread analysis, trend confirmation, RSI & MACD momentum checks, correlation filters, and ATR-based stop-loss/take-profit management. It’s optimized for positive P&L and realistic trade execution.
Key Features:
Pair Divergence Detection:
Measures deviation between returns of two assets and identifies overbought/oversold spread conditions using Z-Score.
Trend Alignment:
Trades only in the direction of the primary asset’s trend using a fast EMA vs slow EMA filter.
Momentum Confirmation:
Confirms trades with RSI and MACD to reduce false signals.
Correlation Filter:
Ensures the pair is strongly correlated before taking trades, avoiding noisy signals.
Risk Management:
Dynamic ATR-based stop-loss and take-profit ensures proper reward-to-risk ratio.
Exit Conditions:
Automatically closes positions when Z-Score normalizes, or ATR-based exits are hit.
How It Works:
Calculate Returns:
Computes returns for both assets over the selected timeframe.
Z-Score Spread:
Calculates the spread between returns and normalizes it using moving average and standard deviation.
Trend Filter:
Only takes long trades if the fast EMA is above the slow EMA, and short trades if the fast EMA is below the slow EMA.
Momentum Confirmation:
Confirms trade direction with RSI (>50 for longs, <50 for shorts) and MACD alignment.
Correlation Check:
Ensures the pair’s recent correlation is strong enough to validate divergence signals.
Trade Execution:
Opens positions when Z-Score crosses thresholds and all conditions align. Positions close when Z-Score normalizes or ATR-based SL/TP is hit.
Plot Explanation:
Z-Score: Blue line shows divergence magnitude.
Entry Levels: Red/Green lines mark long/short thresholds.
Exit Zone: Gray lines show normalization zone.
EMA Trend Lines: Purple (fast), Orange (slow) for trend alignment.
Correlation: Teal overlay shows current correlation strength.
Usage Tips:
Use highly correlated pairs for best results (e.g., EURUSD/GBPUSD).
Run on higher timeframe charts (1h or 4h) to reduce noise.
Adjust ATR multiplier based on volatility to avoid premature stops.
Combine with alerts for automated notifications or webhook execution.
Conclusion:
The Profitable Pair Correlation Divergence Scanner v6 is designed for traders who want systematic, low-risk, positive P&L trading opportunities with minimal manual monitoring. By combining trend alignment, momentum confirmation, correlation filters, and dynamic exits, it reduces false signals and improves execution reliability.
Run it on TradingView and watch how it captures divergence opportunities while maintaining positive P&L across trades.
specific breakout FiFTOStrategy Description: 10:14 Breakout Only
Overview This is a time-based intraday trading strategy designed to capture momentum bursts that occur specifically after the 10:14 AM candle closes. It operates on the logic that if price breaks the high of this specific candle within a short window, a trend continuation is likely.
Core Logic & Rules
The Setup Candle (10:14 AM)
The strategy waits specifically for the minute candle at 10:14 to complete.
Once this candle closes, the strategy records its High price.
Defining the Entry Level
It calculates a trigger price by taking the 10:14 High and adding a user-defined Buffer (e.g., +1 point).
Formula: Entry Level = 10:14 High + Buffer
The "Active Window" (Expiry)
The trade setup does not remain open all day. It has a strict time limit.
By default, the setup is valid from 10:15 to 10:20.
If the price does not break the Entry Level by the expiry time (default 10:20), the setup is cancelled and no trade is taken for the day.
Entry Trigger
If a candle closes above the Entry Level while the window is open, a Long (Buy) position is opened immediately.
Exits (Risk Management)
Stop Loss: A fixed number of points below the entry price.
Target: A fixed number of points above the entry price.
Visual & Automation Features
Visual Boxes: Upon entry, the strategy draws a "Long Position" style visual on the chart. A green box highlights the profit zone, and a red box highlights the loss zone. These boxes extend automatically until the trade closes.
JSON Alerts: The strategy is pre-configured to send data-rich alerts for automation (e.g., Telegram bots).
Entry Alert: Includes Symbol, Entry Price, SL, and TP.
Exit Alerts: Specific messages for "Target Hit" or "SL Hit".
Summary of User Inputs
Entry Buffer: Extra points added to the high to filter false breaks.
Fixed Stop Loss: Risk per trade in points.
Fixed Target: Reward per trade in points.
Expiry Minute: The minute (10:xx) at which the setup becomes invalid if not triggered.
BTC Dynamic Volatility Trend Backtested from 2017 to present, this strategy has delivered a staggering 7100%+ cumulative return. It doesn't just track the market; it dominates it. By capturing major trends and strictly limiting drawdowns, it has significantly outperformed the standard 'Buy & Hold' BTC strategy, proving its ability to generate massive alpha across multiple bull and bear cycles.
自 2017 年至今，本策略实现了惊人的 7100%+ 累计收益率。它不仅仅是跟随市场，更是超越了市场。通过精准捕捉主升浪并严格控制回撤，该策略在穿越多轮牛熊周期后，大幅度跑赢了比特币‘买入持有’（Buy & Hold）的基准收益，展现了极致的阿尔法（Alpha）捕捉能力。"
Introduction ：Simplicity is the ultimate sophistication. This strategy is designed specifically for Bitcoin (BTC), capturing its unique characteristics: high volatility, frequent fakeouts, and massive trend persistence. It abandons complex indicators in favor of a robust logic: "Follow the Trend, Filter the Noise, Let Profits Run."
Core Logic
Trend Filter (Fibonacci EMA 144): We use the 144-period Exponential Moving Average as the baseline. Longs are only taken above this line, and shorts only below. This keeps you on the right side of the major trend.
Volatility Breakout (Donchian Channel 20): Entries are triggered only when price breaks the 20-day high (for longs) or low (for shorts). This confirms momentum and avoids trading in chop.
Dynamic Risk Management (ATR Chandelier Exit):
Instead of fixed % stops, we use Average True Range (ATR) to calculate stop losses.
The Ratchet Mechanism: The stop loss moves up with the price but never moves down (for longs). This locks in profits automatically as the trend develops and exits immediately when volatility turns against you.
Why Use This Strategy?
Zero Repainting: All signals are confirmed.
No Curve Fitting: Uses classic parameters (144, 20) that have worked for decades.
Mental Peace: The strategy handles the exit. You don't need to guess where to sell. It holds through minor corrections and exits only when the trend truly reverses.
Settings
Leverage %: Adjust your position size based on equity (default 100% = 1x).
Timeframe: Recommended for 4H charts.
中文版 (Chinese Version)
简介 ：大道至简。本策略专为 比特币 (BTC) 设计，针对其高波动、假突破多但趋势爆发力强的特点，摒弃了复杂的过度拟合指标，回归交易本质：“顺大势，滤噪音，截断亏损，让利润奔跑”。
核心逻辑
趋势过滤器 (斐波那契 EMA 144)： 使用 144 周期指数移动平均线作为多空分水岭。价格在均线之上只做多，之下只做空。这能有效过滤掉大部分震荡市的噪音。
波动率突破 (唐奇安通道 20)： 只有当价格突破过去 20 根 K 线的最高价（做多）或最低价（做空）时才进场。这确保了我们只在趋势确立的瞬间入场。
动态风控 (ATR 吊灯止损)：
拒绝固定点数止损，使用 ATR（平均真实波幅）根据市场热度动态计算安全距离。
棘轮机制： 止损线会跟随价格上涨而上移，但绝不会下移（做多时）。这实现了自动化的“利润锁定”，既能扛住正常的波动回调，又能在大势反转时果断离场。
策略优势
绝不重绘： 所有信号均为收盘确认或实时触价。
拒绝拟合： 使用经过数十年市场验证的经典参数组合。
心态管理： 策略全自动管理出场。你不需要纠结何时止盈，它会帮你吃到完整的鱼身，直到趋势结束。
使用建议
资金管理： 可通过参数调整仓位占比（默认 100% = 1倍杠杆）。
推荐周期： 建议在4小时 图表上运行效果最佳。
Gold Seasonal Long-Term StrategyBased on the rigid cycle of physical gold demand.
It capitalizes on the strong buying momentum driven by India's Diwali in November, the Western holiday season in December, and the Chinese New Year in January/February to execute a long-term hold.
KNNstrategyKNN is an advanced gold-trading strategy built on a set of refined, confidential patterns extracted from thousands of recurring price behaviors. It identifies hidden reversal and breakout zones using a unique candle-movement signature optimized for fast timeframes. The strategy filters market noise and reveals high-precision entry points overlooked by traditional methods. KNN delivers a powerful edge in the highly volatile gold market through unmatched pattern accuracy and smart validation logic.
US Market Long Horizon Momentum Summary in one paragraph
US Market Long Horizon Momentum is a trend following strategy for US index ETFs and futures built around a single eighteen month time series momentum measure. It helps you stay long during persistent bull regimes and step aside or flip short when long term momentum turns negative.
Scope and intent
• Markets. Large cap US equity indices, liquid US index ETFs, index futures
• Timeframes. 4h/ Daily charts
• Default demo used in the publication. SPY on 4h timeframe chart
• Purpose. Provide a minimal long bias index timing model that can reduce deep drawdowns and capture major cycles without parameter mining
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. One unscaled multiple month log return of an external benchmark symbol drives all entries and exits, with optional volatility targeting as a single risk control switch.
• Failure mode addressed. Fully passive buy and hold ignores the sign of long horizon momentum and can sit through multi year drawdowns. This script offers a way to step down risk in prolonged negative momentum without chasing short term noise.
• Testability. All parameters are visible in Inputs and the momentum series is plotted so users can verify every regime change in the Tester and on price history.
• Portable yardstick. The log return over a fixed window is a unit that can be applied to any liquid symbol with daily data.
Method overview in plain language
The method looks at how far the benchmark symbol has moved in log return terms over an eighteen month window in our example. If that long horizon return is positive the strategy allows a long stance on the traded symbol. If it is negative and shorts are enabled the strategy can flip short, otherwise it goes flat. There is an optional realised volatility estimate on the traded symbol that can scale position size toward a target annual volatility, but in the default configuration the model uses unit leverage and only the sign of momentum matters.
Base measures
Return basis. The core yardstick is the natural log of close divided by the close eighteen months ago on the benchmark symbol. Daily log returns of the traded symbol feed the realised volatility estimate when volatility targeting is enabled.
Components
• Component one Momentum eighteen months. Log of benchmark close divided by its close mom_lookback bars ago. Its sign defines the trend regime. No extra smoothing is applied beyond the long window itself.
• Component two Realised volatility optional. Standard deviation of daily log returns on the traded symbol over sixty three days. Annualised by the square root of 252. Used only when volatility targeting is enabled.
• Optional component Volatility targeting. Converts target annual volatility and realised volatility into a leverage factor clipped by a maximum leverage setting.
Fusion rule
The model uses a simple gate. First compute the sign of eighteen month log momentum on the benchmark symbol. Optionally compute leverage from volatility. The sign decides whether the strategy wants to be long, short, or flat. Leverage only rescales position size when enabled and does not change direction.
Signal rule
• Long suggestion. When eighteen month log momentum on the benchmark symbol is greater than zero, the strategy wants to be long.
• Short suggestion. When that log momentum is less than zero and shorts are allowed, the strategy wants to be short. If shorts are disabled it stays flat instead.
• Wait state. When the log momentum is exactly zero or history is not long enough the strategy stays flat.
• In position. In practice the strategy sits IN LONG while the sign stays positive and flips to IN SHORT or flat only when the sign changes.
Inputs with guidance
Setup
• Momentum Lookback (months). Controls the horizon of the log return on the benchmark symbol. Typical range 6 to 24 months. Raising it makes the model slower and more selective. Lowering it makes it more reactive and sensitive to medium term noise.
• Symbol. External symbol used for the momentum calculation, SPY by default. Changing it lets you time other indices or run signals from a benchmark while trading a correlated instrument.
Logic
• Allow Shorts. When true the strategy will open short positions during negative momentum regimes. When false it will stay flat whenever momentum is negative. Practical setting is tied to whether you use a margin account or an ETF that supports shorting.
Internal risk parameters (not exposed as inputs in this version) are:
• Target Vol (annual). Target annual volatility for volatility targeting, default 0.2.
• Vol Lookback (days). Window for realised volatility, default 63 trading days.
• Max Leverage. Cap on leverage when volatility targeting is enabled, default 2.
Usage recipes
Swing continuation
• Signal timeframe. Use the daily chart.
• Benchmark symbol. Leave at SPY for US equity index exposure.
• Momentum lookback. Eighteen months as a default, with twelve months as an alternative preset for a faster swing bias.
Properties visible in this publication
• Initial capital. 100000
• Base currency. USD
• Default order size method. 5% of the total capital in this example
• Pyramiding. 0
• Commission. 0.03 percent
• Slippage. 3 ticks
• Process orders on close. On
• Bar magnifier. Off
• Recalculate after order is filled. Off
• Calc on every tick. Off
• All request.security calls use lookahead = barmerge.lookahead_off
Realism and responsible publication
The strategy is for education and research only. It does not claim any guaranteed edge or future performance. All results in Strategy Tester are hypothetical and depend on the data vendor, costs, and slippage assumptions. Intrabar motion is not modeled inside daily bars so extreme moves and gaps can lead to fills that differ from live trading. The logic is built for standard candles and should not be used on synthetic chart types for execution decisions.
Performance is sensitive to regime structure in the US equity market, which may change over time. The strategy does not protect against single day crash risk inside bars and does not model gap risk explicitly. Past behavior of SPY and the momentum effect does not guarantee future persistence.
Honest limitations and failure modes
• Long sideways regimes with small net change over eighteen months can lead to whipsaw around the zero line.
• Very sharp V shaped reversals after deep declines will often be missed because the model waits for momentum to turn positive again.
• The sample size in a full SPY history is small because regime changes are infrequent, so any test must be interpreted as indicative rather than statistically precise.
• The model is highly dependent on the chosen lookback. Users should test nearby values and validate that behavior is qualitatively stable.
Legal
Education and research only. Not investment advice. You are responsible for your own decisions. Always test on historical data and in simulation with realistic costs before any live use.
Gold Mastermind Pro v6EMA50 / EMA200 trend (UP / DOWN / FLAT)
VWAP + ATR + RSI filters for entries
ATR-based stop & 2R target
Risk-based position sizing with max 5 contracts
Cooldown in bars after each entry
Long arrows = baby blue, Short arrows = bright orange
Simple dashboard label showing trend, qty, stop & target
Sniper PRO: The "Buffett Mode" VFI System"The stock market is a device for transferring money from the impatient to the patient." — Warren Buffett
Most traders lose money because they try to catch every small move. Sniper PRO is designed for the opposite: It identifies the massive, multi-week and multi-month trends driven by Institutional "Smart Money", and keeps you in the trade until the real move is over.
This is not a scalping tool. This is a Wealth Compounding Engine.
🚀 Why is this the "Secret Weapon"?
We combined the most searched and respected indicators into a single, high-probability algorithm:
VFI (Smart Money Flow): Tracks what the "Whales" are doing, not the retail traders.
Fibonacci Golden Ratio: Uses math to secure profits, not guesswork.
Trend Protocol: Filters out 90% of market noise.
🔥 The "Diamond Hands" Logic (VFI Shield)
The biggest problem in long-term trading is getting shaken out by a temporary dip. Sniper PRO solves this with the VFI Shield:
Even if price drops below your Stop Loss, the algorithm checks the Institutional Volume.
If Big Money is still holding? The Shield holds. You stay in the trade.
This feature alone allows you to ride trends for Weeks and Months (like NVDA, TSLA, BTC runs) without exiting prematurely.
⚙️ How It Works
1. The "Buffett" Entry We only enter when the odds are stacked in our favor:
Trend: Price must be above the EMA 50 (Bull Market).
Volume: VFI must be Positive (Accumulation Phase).
Volatility: The market must be active, not chopping sideways.
2. The Compounding Exit (Fibonacci Ladder) Instead of selling too early, the system builds a Fibonacci Ladder behind the price.
As the asset grows, your Stop Loss climbs automatically to the next Fibonacci level (0.382 -> 0.5 -> 0.618).
This locks in profits step-by-step while giving the asset room to breathe and grow.
3. Asymmetric Safety Shorting is risky in a long-term bull market. The system automatically reduces the size of Short trades to protect your capital, while maximizing exposure to Long rallies.
📊 Visual Guide
🔵 Blue Line: The Trend Baseline.
🔴 Red Steps: Your "Locked" Profit Level (Trailing Stop).
🟣 Purple 'X': Where the trade finally closed (Transparency).
Background Color:
Green: Bull Market (Safe to hold).
Orange: Choppy/Dangerous (Cash is King).
Best For:
Swing Traders & Investors (1D, 4H Timeframes).
People who want to catch the Big Moves and ignore the noise.
Disclaimer: This tool is designed for trend following. Past performance is not indicative of future results. Always manage your risk.
AlasmarPrivet strategy in the beginning .
hope it will help to give you a good advice when to in and out from SPX500.
i test it in options only and you can use it and try if it works with stocks or no.
pls feel free to contact me if needed.
best regards,
Alasmar
Momentum FlowThis is a rule-based, fully automated trading strategy** developed **exclusively for BANKNIFTY** and optimized strictly for the **2-Hour (2H) timeframe**. The system is designed to identify **high-quality directional opportunities** while filtering out low-probability market noise.
The strategy is built for traders who prefer:
* Clean positional trading
* Limited, high-quality signals
* Fully mechanical execution
* No discretionary decision-making
This system is **locked by design** and will **only operate on BANKNIFTY – 2H timeframe** to preserve performance integrity. Usage on any other symbol or timeframe is intentionally restricted.
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### ✅ SUITABLE FOR:
* Positional traders
* Swing traders
* Working professionals
* Traders seeking structured, disciplined systems
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### ❌ NOT SUITABLE FOR:
* Scalping
* Low-timeframe trading
* High-frequency setups
* Traders seeking daily signals
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### ⚠️ IMPORTANT DISCLAIMER:
This strategy is provided strictly for **educational and research purposes only**. Trading in financial markets involves significant risk, and losses are possible. Past performance does not guarantee future results. The creator is not responsible for any financial losses incurred by the use of this strategy. Always trade with proper risk management.
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EdgeX by YCGH Capital╔════════════════════════════════════════════════════════════╗
⚡ SYSTEMATIC BTCUSDT SWING TRADER ⚡
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📊 STRATEGY OVERVIEW
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║ 🔐 PREMIUM STRATEGY - EXCLUSIVE ACCESS 🔐 ║
╚════════════════════════════════════════════════════════════╝
This is a premium strategy with exclusive access.
To request access, reach out at:
📬 brijamohanjha@gmail.com
• Vetted performance data available upon request
• Setup assistance and strategy tuning included
• Ongoing support for live trading optimization
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A dynamic, rule-based trading framework designed for BTCUSDT on
the 4-hour chart, focused on capturing clear directional edges
with disciplined risk management and fully automated execution.
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🎯 KEY CHARACTERISTICS
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✓ Long & Short | Bidirectional participation in both trending
directions without discretionary overrides
✓ Structured Rules | Entries triggered only on high-conviction
setups; naturally quiet during choppy consolidations
✓ Adaptive Sizing | Position size scales dynamically with account
equity using percentage-based capital allocation
✓ Cost-Aware | Transaction fees and slippage explicitly modeled
for realistic live trading performance
✓ Automated Execution | Bar-level real-time processing ensures
consistent, emotion-free trade management
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💰 RISK & CAPITAL MANAGEMENT
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• Fixed-fraction position sizing for compounding growth
• Predefined stop-loss and take-profit constraints
• Account equity-based position scaling
• Realistic fee structure incorporated into P&L
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🚀 IDEAL FOR
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→ Medium-term swing participation
→ Backtesting and strategy robustness analysis
→ Quantitative trading systems development
→ Systematic, rules-based execution
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Built for disciplined, consistent execution
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Crypto Scalping Strategy by SAIFOverview
An optimized scalping strategy designed for cryptocurrency markets, focusing on breakout opportunities with strict risk controls and optional safe compounding features. This strategy combines price action, volume analysis, and multi-timeframe trend confirmation.
Key Features
Breakout Detection System
Identifies significant price breakouts using dynamic channel analysis
Confirms breakouts with volume surge validation
Filters trades based on multi-timeframe trend alignment
Multi-Timeframe Trend Confirmation
Analyzes 1-hour and 4-hour timeframes for trend direction
Only takes trades aligned with higher timeframe trends
Uses long-term moving averages for trend validation
Advanced Risk Management
Conservative default risk: 1% per trade
ATR-based stop-loss placement (2x ATR)
Trailing stop mechanism to protect profits
Minimum profit target before trailing activates
Built-in position sizing based on account equity
Safe Capital Management Options
Fixed Capital Mode: Trade with consistent position sizes
Safe Compounding Mode: Gradually scales position size based on realized profits only
Drawdown Protection: 80% equity floor prevents excessive capital erosion
Leverage Control: 10x leverage factored into position calculations
Technical Filters
Momentum confirmation via oscillator conditions
Directional movement analysis
Volume threshold requirements
Trend strength validation
Position Sizing
The strategy automatically calculates position sizes based on:
Your specified risk percentage
Current ATR volatility
Available leverage
Account equity (with optional compounding)
Trade Management
Entry: Executes on confirmed breakouts with volume and trend alignment
Stop Loss: Placed at 2x ATR from entry
Take Profit: Uses trailing stops that activate after minimum profit threshold
Exit: Automatically managed through strategy exits
Customization Options
Adjustable channel length for breakout detection
Configurable volume multiplier for surge detection
Customizable oscillator thresholds
Flexible ATR period for volatility measurement
Optional compounding vs. fixed capital modes
Adjustable trailing stop parameters
Visual Features
Channel boundaries plotted on chart
Entry signals marked with arrows
Background coloring indicates trend direction
Real-time info table shows:
Current risk level
Compounding status
Capital values
Drawdown protection status
Alert Capabilities
Built-in alert conditions for:
Buy signals (breakout opportunities)
Sell signals (breakdown opportunities)
Important Disclaimers
⚠️ Educational Purpose Only: This strategy is provided for educational and research purposes. It is not investment advice.
⚠️ High-Risk Trading: Scalping and leverage trading carry substantial risk of loss. Cryptocurrency markets are highly volatile.
⚠️ Not Financial Advice: This tool does not constitute financial, investment, or trading advice. Always conduct your own research and consult qualified professionals.
⚠️ Leverage Warning: This strategy uses 10x leverage, which can amplify both gains and losses significantly.
⚠️ Backtesting Limitations: Past performance does not guarantee future results. Real trading involves slippage, execution delays, and emotional factors not present in backtesting.
⚠️ Capital at Risk: Only trade with capital you can afford to lose completely. Never trade with borrowed money or funds needed for living expenses.
Commission & Fees
Commission: 0.13% per trade
Initial capital: $100 (default)
Commission costs are factored into backtest results
Best Practices
Start Small: Begin with minimum capital and conservative risk settings
Test Thoroughly: Backtest across different market conditions and timeframes
Monitor Performance: Track win rate, profit factor, and maximum drawdown
Adjust Parameters: Optimize settings for your specific trading pairs
Use Alerts: Set up notifications to avoid missing opportunities
Manage Emotions: Follow the strategy rules consistently without override
Recommended Markets
High liquidity cryptocurrency pairs (BTC, ETH major pairs)
Assets with clear trending behavior
Markets with sufficient volume for scalping
Timeframes: 1H to 4H charts recommended
Risk Reminder
Scalping requires:
Quick decision-making
Tight risk management
Consistent discipline
Understanding of market microstructure
Proper capitalization
Always practice proper risk management. The strategy includes safety features, but no system can eliminate trading risk entirely. Trade responsibly.
Crypto Intraday Strategy by SAIFOverview
A comprehensive intraday trading strategy designed for cryptocurrency markets, combining multiple technical indicators and risk management principles to identify high-probability trading opportunities.
Key Features
Multi-Timeframe Analysis
Utilizes exponential moving averages for trend identification
Incorporates swing structure analysis for support and resistance levels
Applies momentum and trend strength filters
Risk Management
Configurable risk-reward ratios (default 1.6:1)
Maximum risk per trade capped at 3.1% of equity
Dynamic stop-loss placement based on market structure
Position sizing at 2% of equity per trade
Advanced Filters
Trend strength confirmation using ADX indicator
Momentum validation through multiple oscillators
Market correlation analysis for additional confluence
Optional weekend trading filter to avoid low-liquidity periods
Swing Structure Recognition
Automatically identifies key swing highs and lows
Uses pivot points to determine optimal entry zones
Prevents entries too far from established support/resistance
Trade Execution
The strategy employs a one-way trading approach, entering positions only when multiple technical conditions align. Each trade includes pre-defined stop-loss and take-profit levels calculated at entry.
Customization Options
Adjustable swing detection sensitivity
Configurable EMA distance thresholds
Optional correlation filters
Weekend trading toggle
Risk parameters can be modified to suit individual preferences
Important Disclaimers
⚠️ Educational Purpose Only: This strategy is provided for educational and informational purposes. Past performance does not guarantee future results.
⚠️ Risk Warning: Trading cryptocurrencies carries substantial risk of loss. Only trade with capital you can afford to lose.
⚠️ Not Financial Advice: This tool does not constitute financial, investment, or trading advice. Always conduct your own research and consult with qualified financial professionals.
⚠️ Backtesting Limitations: Historical backtesting results may not reflect actual trading conditions due to slippage, execution delays, and changing market dynamics.
Fees & Slippage
Commission: 0.12% per trade
Slippage: 2 ticks accounted for in backtesting
Recommended Usage
Thoroughly backtest on your preferred trading pairs
Start with small position sizes when live trading
Monitor performance across different market conditions
Adjust parameters based on asset volatility and your risk tolerance
OLPF - Octavio Low-Pass Filter StrategyOCTAVIO LOW-PASS FILTER (OLPF) v1.0
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DESCRIPTION
The Octavio Low-Pass Filter (OLPF) is an advanced Finite Impulse Response (FIR) low-pass filter designed for financial time series analysis. It builds upon the foundational work of the New Low-Pass Filter (NLF) by Alex Pierrefeu, introducing three key enhancements that significantly improve signal quality and reduce common filtering artifacts.
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KEY INNOVATIONS
1. HERMITE SMOOTHING POLYNOMIAL
Replaces the simple quadratic base (x²) with the cubic Hermite interpolation polynomial . This mathematical refinement provides C¹ continuity at kernel boundaries, ensuring smoother transitions and eliminating edge discontinuities that can introduce artificial noise into the filtered signal.
2. LANCZOS SIGMA FACTOR WINDOWING
Applies a Lanczos-type attenuation factor to each harmonic component in the sine series. This windowing technique dramatically reduces the Gibbs phenomenon - the characteristic overshooting and ringing that occurs near sharp price transitions. The result is a cleaner signal with minimized false crossover signals.
3. ADAPTIVE WEIGHT NORMALIZATION
Implements dynamic normalization of kernel weights, guaranteeing that the sum of all filter coefficients equals unity. This ensures proper amplitude preservation across all market conditions and prevents signal drift or scaling artifacts.
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MATHEMATICAL FOUNDATION
The OLPF kernel function is defined as:
K(x, N) = x²(3-2x) + Σ (1/i) × σ(i) × sin(πxi)
Where:
- x ∈ is the normalized position within the filter window
- N is the filter order (degree of the sine series)
- σ(i) = sin(πi/(N+1)) / (πi/(N+1)) is the Lanczos sigma factor
The filter output is computed via discrete convolution:
F(M, N) = Σ src × / W
Where W is the sum of all weights for normalization.
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APPLICATIONS
- Trend identification with reduced lag compared to traditional MAs
- Noise reduction in volatile market conditions
- Generation of trading signals via fast/slow filter crossovers
- Foundation for more complex indicator development
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STRATEGY IMPLEMENTATION
This script implements a dual-filter crossover strategy with:
- Fast OLPF for responsive signal generation
- Slow OLPF for trend confirmation
- EMA filter for additional trend validation
- ATR-based dynamic stop-loss positioning
- Risk-based position sizing (percentage of equity)
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AUTHOR
Name: Hector Octavio Piccone Pacheco
Filter: Octavio Low-Pass Filter (OLPF)
Version: 1.0
Based on: New Low-Pass Filter (NLF) by Alex Pierrefeu
Date: 2025
Original Contributions:
- Hermite smoothing polynomial kernel base
- Lanczos sigma factor windowing for Gibbs reduction
- Adaptive weight normalization system
- Integrated risk management framework
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LICENSE
This work is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute this code with attribution.
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DISCLAIMER
Trading involves substantial risk of loss. This indicator is provided for educational and research purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk assessment.
SmartDCA by TradeAkademiSmartDCA is an advanced position-management strategy built to deliver consistent results even as market conditions shift. Its price-action–driven structure, intelligent DCA scaling model, and multiple entry options provide a powerful automation framework suitable for both beginners and professional traders. With flexible TP/DCA configurations and safety modules such as Smart Take Profit, Risk Reset Exit, and Fail Safe Stop, positions scale more efficiently, risks are managed proactively, and capital remains protected at every stage. SmartDCA is a fully customizable, modern trading engine that offers high adaptability across different assets and timeframes.
The strategy supports five entry methodologies:
ta_default – Opens positions on breakout confirmations based on the selected period’s local highs and lows.
ta_volatility – Uses the same breakout logic while filtering entries that would place the target level outside the system’s defined safety zone.
ta_safety – Extends the volatility model with an additional candle-quality filter, avoiding structurally weak entries and behaving more conservatively.
rsi_based – Generates entries when RSI drops below 30 or rises above 70.
ema_based – Opens positions based on directional shifts in the moving average.
SmartDCA is fully configurable: entry logic, DCA percentage and multiplier, take-profit (TP) settings, maximum DCA steps, order-size mode, and directional preferences can all be tailored to fit any asset, market condition, or timeframe .
Default parameters are optimized for the 30-minute chart.
The strategy also includes three optional protective mechanisms:
Smart Take Profit – Closes profitable trades early when price approaches the target within a configurable proximity, reducing exposure to potential reversal signals.
Risk Reset Exit – After a defined DCA step, the position is closed at breakeven once price returns to the average entry level.
Fail Safe Stop – If the maximum DCA step is reached and recovery fails to occur, the trade is closed at a controlled loss.
All protection modules can be enabled individually and configured to activate only after specific DCA levels, allowing SmartDCA to remain adaptive yet controlled under varying market dynamics.
Indian Scalper 2025 – PSAR + SMA50 + RSI≤50 + High Volume (75%)Best 1-min / 2-min scalping strategy for NIFTY, BANKNIFTY, FINNIFTY & liquid stocks in 2025
✓ PSAR flip + SMA-50 trend filter
✓ RSI ≤50 (avoids chasing)
✓ Only high-volume candles (bright colour)
✓ Loud mobile alerts with price & SL
✓ 1:2+ RR with PSAR trailing
Works like magic 9:15–11:30 AM and 2–3:20 PM
Made with love for the Indian trading community ♥
VWAP Pullback + BOS + OBV v2 (Crypto Futures 15m)This strategy combines VWAP pullbacks, break-of-structure entries, and OBV confirmation to catch high-quality trend continuation moves on crypto futures. It waits for price to trend above or below the 200 EMA, then pulls back into the VWAP band, signaling a potential reload zone. A trade only triggers when price breaks recent structure in the direction of the trend and OBV shows supportive volume flow. An ATR volatility filter blocks entries during choppy, low-energy periods, and all trades use an ATR stop-loss with fixed reward-to-risk targeting. The result is a cleaner, more disciplined trend-following system designed for 15m–30m BTC/ETH scalping.
Momentum Reversal / Dip Buyer [Score Based]Strategy Overview
Momentum Reversal / Dip Buyer is a quantitative reversal engine designed to fade stretched moves and buy dips / sell rallies when multiple momentum and context factors line up. It’s built for liquid instruments especially for ticker CME_MINI:ES1! and works best on intraday timeframes like the 5-minute or 1-minute chart.
Core Logic
This strategy builds a composite Momentum Score by combining:
Price Location: Relative to 100 SMA, 1000 EMA, and VWAP (trend / regime filter).
RSI: Overbought/oversold and mid-zone strength.
VWMO (Volume-Weighted Momentum): Direction and strength of volume-weighted price drift.
ADX: Trend strength filter (high vs low trend environment).
Full Stoch (%K): Short-term exhaustion and mean-reversion context.
CCI: Overbought/oversold turns (key trigger).
MFI: Volume-confirmed buying/selling pressure.
ATR Regime: High vs low volatility environment.
Cumulative Delta: Whether net aggressor flow is rising or falling.
From this, a single Momentum Score is computed each bar:
Longs: Taken when the score is depressed (scoreLow) and CCI crosses up from oversold.
Shorts: Taken when the score is elevated (scoreHigh) and CCI crosses down from overbought.
Risk Management & Trade Logic
Max Daily Trades: Hard cap on entries per day.
Hard Stop: Fixed % stop based on entry price.
Profit Target: Target ATR Multiplier × main ATR from entry.
Breakeven Logic: Optional; moves stop to breakeven (plus optional offset) after price moves a configurable multiple of the main ATR in your favor.
Trailing Stop (Separate ATR): Optional; uses its own ATR length and ATR-based trigger and distance. This lets you run slower ATR for targets while using a tighter, more reactive ATR for the trail.
Session Control
Trading Window: Optional session filter (e.g., 09:30–16:00). Entries are only allowed inside the defined window.
Force Flat at Session End: Option to automatically close all open positions when the session ends.
Visuals
The script plots entry arrows and a compact dashboard displaying: current Momentum Score, daily trade usage, and CCI status.
Disclaimer:
This script is for educational and research purposes only and is not financial advice. Past performance does not guarantee future results. Always forward-test and adjust parameters to your own risk tolerance and market.
Shoutout and all credit goes to AuclairsCapital for building the base foundation of this strategy on ThinkScript
Ashok 07 Dec 25 updated scriptTried to fix the bugs in previous script. Even now improvements are needed, but for now it looks reasonably profiting.
CPR + EMA(20/50/200) Strategy (5m) - NIFTY styleindicator best suited for nifty for 5 minute time frame.
1-Hour Trend Breakout Strategy (Scaled Entry Version)This strategy is a trend-following system on the Bitcoin 1-hour chart.
It enters in the direction of the market when price breaks an upward or downward trendline, using scaled (partial) entries.
Entry Rules
Go long when price breaks an upward trendline.
Go short when price breaks a downward trendline.
Position size is split into several parts and entered gradually.
Trade Management
When the first take-profit level (TP1) is reached, a portion of the position is closed.
The stop-loss on the remaining position is moved to break-even (entry price) to lock in profits and manage risk.
Performance
Period: 2019-12-16 to 2025-12-07
Total P&L: +2,385%
Maximum Drawdown (MDD): 28%
Win Rate: 79%
Profit Factor: 3.1
