SMA Crossover Strategy for NSE Stocks//@version=5
strategy("SMA Crossover Strategy for NSE Stocks", overlay=true, margin_long=100, margin_short=100)
// Input parameters
minVolume = input(100000, title="Minimum Volume Requirement (Shares)")
smaLength1 = input(13, title="Fast SMA Length")
smaLength2 = input(26, title="Medium SMA Length")
smaLength3 = input(91, title="Slow SMA Length")
// Calculate SMAs
sma13 = ta.sma(close, smaLength1)
sma26 = ta.sma(close, smaLength2)
sma91 = ta.sma(close, smaLength3)
// Plot SMAs
plot(sma13, color=color.blue, title="SMA 13", linewidth=2)
plot(sma26, color=color.orange, title="SMA 26", linewidth=2)
plot(sma91, color=color.red, title="SMA 91", linewidth=2)
// Crossover conditions
fastCrossesSlow = ta.crossover(sma13, sma91)
mediumCrossesSlow = ta.crossover(sma26, sma91)
volumeCondition = volume >= minVolume
// Entry condition - Both SMAs cross above 91 SMA with sufficient volume
entryCondition = fastCrossesSlow and mediumCrossesSlow and volumeCondition
// Strategy logic
if (entryCondition)
strategy.entry("Long", strategy.long)
// Plot shapes to visualize signals on chart
plotshape(series=entryCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
// Alert condition
alertcondition(entryCondition, title="SMA Crossover Buy Signal", message="SMA 13 and 26 crossed above SMA 91 with sufficient volume")
Indicadores e estratégias
✨𝘓𝘌𝘝𝘌𝘙𝘈𝘎𝘌 𝘚𝘠𝘚𝘛𝘌𝘔✨Trend Regime Adaptive Strategy (𝑻𝑹𝑨𝑺)
Ride the trends. Avoid the noise.
1. Strategy Insight
The 𝑻𝑹𝑨𝑺 is a trend-based trading framework built to exploit high-momentum market environments while filtering out sideways or choppy conditions. At its core, it relies on a powerful regime filter that determines when the market is trending — and only then activates signals. No trades are taken during low-conviction, range-bound conditions, helping preserve capital and avoid false moves.
Once the system identifies a valid trend regime, it dynamically enters long or short positions based on directional strength, and switches to cash in uncertain zones. This approach reduces whipsaws, limits drawdowns, and focuses on high-probability setups.
2. Engineered for Precision
First developed using Bitcoin (BTCUSD), this system combines directional signals with trend regime detection for an added layer of filtering. Rather than reacting to every move, it patiently waits for confirmation — entering only when conditions align with historical edge.
Despite being tailored to crypto, this framework can be adapted across asset classes and timeframes, as long as market behavior includes clearly defined trending phases.
3. Testing Principles & Implementation
Here’s how to properly assess and deploy the 𝑻𝑹𝑨𝑺:
Focus on Trend Quality: The real edge lies in avoiding sideways markets. Don’t obsess over catching every move — instead, test how well the strategy captures sustained trends.
Asset Versatility: While optimized on BTCUSD, this logic applies to indices, FX, altcoins, and even commodities.
Timeframe Flexibility: Test from intraday (5-min, 1-hour) to macro views (daily, weekly), especially in assets with frequent regime shifts.
Cross-Market Stress Tests: Performance varies across venues due to slippage and fees — so backtest across multiple exchanges for resilience.
Key Advantage: Regime Awareness
Most systems fail not because of bad signals — but because they trade during bad environments. The 𝑻𝑹𝑨𝑺 doesn’t fall into that trap. Its regime filter is designed to detect when it's time to play offense, and when to sit out.
The result? Cleaner trades, lower stress, and a higher signal-to-noise ratio in your strategy arsenal.
✨𝘜𝘕𝘐𝘝𝘌𝘙𝘚𝘈𝘓 𝘚𝘠𝘚𝘛𝘌𝘔 𝘣𝘺 𝘏𝘈𝘕✨UNIVERSAL STRATEGY
Built for clarity. Crafted for performance.
1. What It Is
The Universal Strategy is a directional strategy built on a straightforward idea: follow the dominant market force. If the market’s trending up, we ride with it. If the tide turns, we move to the sidelines or take advantage of downward momentum. It’s not about guessing tops or bottoms — it’s about aligning with the bigger wave.
This approach strips away complexity and avoids noisy signals, delivering a reliable, sustainable model that works in both bullish and bearish environments.
2. How It Came to Life
Originally built and stress-tested on **Bitcoin (BTCUSD)**, the system uses four handpicked momentum indicators that work in harmony to detect and track trend strength. While BTC was our lab, the system flexes well across different markets and timeframes.
If you're optimizing for high performance, we recommend customizing it to the specific characteristics of the asset you're trading — but for broader testing and learning, the universal framework works right out of the box.
3. Guidelines for Smart Testing
This system isn’t about pinpointing precision entries and exits — it’s about being on the **right side of the move**. Focus on directional effectiveness, not on forcing perfect historical trades.
- Market Variety : Test across crypto majors, altcoins, indices, ratios, equities, and even commodities.
- Timeframe Depth : Analyze from granular 1-minute charts to weekly overviews. For newer assets, focus on windows that provide sufficient trade volume.
- Cross-Exchange Trials : Exchanges vary in slippage, liquidity, and order flow. Testing on multiple platforms ensures resilience and reliability.
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Why It Works
The Universal Strategy is ideal for traders and investors looking for **a timeless framework** to help them avoid emotional decisions, cut through market noise, and stay positioned with confidence — no matter the trend.
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Long position strategy [75U+100x leverage]+mobile take profitAmbush against the trend, triple filtering, quantity price coordination, automated risk control
A high leverage, long position trading system based on volume surges and POC trends, combined with a mobile take profit mechanism, suitable for cryptocurrency markets (such as BTC/USDT contract trading)
逆势而行、三重过滤、量价协调、自动风险控制
基于交易量激增和POC趋势的高杠杆、多头头寸交易系统，结合移动止盈机制，适用于加密货币市场（如BTC/USDT合约交易）
Dskyz Adaptive Futures Edge (DAFE)imgur.com/a/igj9lFj
Dskyz Adaptive Futures Edge (DAFE) is a futures trading strategy designed to adapt dynamically to market volatility and price action using a blend of technical indicators. The strategy combines adaptive moving averages, optional RSI filtering, candlestick pattern recognition, and multi-timeframe trend analysis to generate long and short trade signals. It incorporates robust risk management techniques including ATR-based stop-losses and trailing stops, ensuring trades are sized and managed within sustainable risk limits.
Key Components and Logic
-Adaptive Moving Averages
Dynamic Calculation: Fast and slow Simple Moving Averages (SMAs) adapt to changing volatility, making them sensitive to high-momentum shifts and smoothing during quieter price action.
Signal Generation: Entry signals are triggered when the fast SMA crosses the slow SMA in conjunction with price direction confirmation (e.g., price above both for long positions).
-RSI Filtering (Optional)
Momentum Confirmation: The RSI filter provides momentum confirmation to avoid overextended entries. It can be toggled on or off for both long and short conditions.
User Control: Adjustable parameters such as lookback period, oversold/overbought thresholds, and enable/disable switches give full control over its influence.
-Candlestick Pattern Recognition
Engulfing Logic: Recognizes strong bullish or bearish engulfing patterns with configurable strength criteria like range and volume. Patterns are filtered by trend direction and strength for confirmation.
Signal Conflict Handling: When both bullish and bearish engulfing patterns occur within the lookback window, the strategy avoids entry to reduce whipsaws in indecisive markets.
-Multi-Timeframe Trend Filter
Higher Timeframe Filtering: Incorporates 15-minute trend direction as a macro-level filter to align intrabar trades with larger trend momentum.
Smoothed Entry Logic: Prevents entering trades that go against the broader market structure, reducing false signals in choppy or low-conviction moves.
-Trade Execution and Risk Management
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Entry Logic
Priority System: Users can define whether moving average signals or candlestick patterns should take priority when both are present.
Volume & Volatility Checks: Ensures sufficient market participation and action before entering a position, improving the odds of reliable follow-through.
Stop-Loss and Trailing Exit
ATR-Based Initial Stops: Dynamically adjusts stop-loss distance based on market volatility using a multiple of ATR (Average True Range), keeping risk proportional to price swings.
Trailing Stop: Protects open profits and enables winners to run by following price action at a set distance (also ATR-based).
-Cooldown Period & Minimum Bar Hold (Trade Discipline Logic)
Cooldown Bars: After an exit, the strategy imposes a mandatory pause before opening a new position.
Why: This avoids rapid-fire re-entries triggered by minor fluctuations that could lead to overtrading and degradation of profitability.
Minimum Bar Hold: A trade must be held for a minimum number of bars before it can be exited.
Why: This prevents the strategy from immediately exiting trades due to fleeting volatility spikes, which previously caused premature exits that often reversed back in favor of the original signal. This ensures trades have adequate time to develop, filtering out noise from true reversals.
-Visual Elements and Transparency Tools
Chart Overlays: Moving averages, RSI values, and trade entry/exit points are shown directly on the chart for complete visibility.
Dashboard UI: Displays critical live metrics—current position, PnL, time held, ATR values, etc.
Debug Logs: Optional toggles allow verbose condition tracking for deep inspection into why a trade occurred (or didn't), useful for both live optimization and debugging.
-Input Parameter Reference Guide
Input Name Function & Suggested Use
Use RSI Filter - Enables or disables RSI-based entry confirmation. Disable if price action alone is desired for entry decisions.
RSI Length - RSI lookback period. Lower values (e.g., 7–14) are more responsive; higher values reduce false signals.
Overbought / Oversold Levels - Used to detect exhaustion zones. E.g., avoid long entries above 70 or short entries below 30.
Use Candlestick Patterns - Enable detection of bullish/bearish engulfing patterns as trade signals. Disable to rely only on trend/MA.
Pattern Strength Thresholds (Range, Volume) - Filters out weak engulfing signals. Higher values require stronger patterns to trigger.
Use 15min Trend Filter - Adds multi-timeframe trend confirmation. Recommended for filtering entries against larger trend direction.
Fast MA - Base Length for fast adaptive moving average. Suggested: 10–25.
Slow MA - Base length for slow adaptive moving average. Suggested: 30–60.
Volatility Sensitivity Multiplier - Multiplies volatility adjustments for adaptive MA length. Higher = more reactive to volatility.
Entry Volume Filter - Filters out trades during low volume. Recommended to prevent entries in illiquid conditions.
ATR Length - Lookback period for ATR calculation. Suggested: 14.
Trailing Stop ATR Offset - Defines how far the stop-loss is from entry. 1.5–2.5 is typical for medium-volatility environments.
Trailing Stop ATR Multiplier - Determines trailing stop distance. 1.5 is tight; 3+ gives more room for trending trades.
Cooldown Bars After Exit - Prevents immediate re-entries. Suggested: 3–10 bars depending on timeframe.
Minimum Bars to Hold Trade - Ensures trades are held long enough to avoid knee-jerk exits. Suggested: 5–10 for intraday strategies.
Trading Hours (Start / End) - Sets the window of allowed trading. Prevents entries outside key session times (e.g., avoid pre-market).
Enable Logging / Debugging - Shows internal trade decision data for tuning and understanding the logic.
Compliance with TradingView Regulations
Realistic Backtesting: The strategy uses proper initial capital, fixed trade quantities, and risk parameters to reflect realistic scenarios.
Transparent Trade Logic: Every condition used for signal generation is documented and controllable by the user. Users can view each signal's rationale.
Risk Mitigation: Cooldown bars, ATR stops, and minimum trade duration ensure the strategy behaves predictably and prevents reckless trade behavior.
Customization: Full control over each module (MA, RSI, Candlestick, Trend, etc.) gives users the ability to tailor the strategy to suit various futures contracts or timeframes.
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Summary
DAFE was built for high-stakes micro futures trading environments such as the MNQ, where milliseconds of volatility matter. This strategy's modular architecture, adaptive logic, and advanced risk controls make it an ideal framework for scalpers and swing traders alike.
BTCUSDT.P
Backtesting: www.dropbox.com
Deep Backtesting:
www.dropbox.com
****Currently testing on a prop account.
Caution Statement
This strategy is designed for educational and experimental purposes and should not be considered financial advice or a guaranteed method of profitability. While the DAFE (Dskyz Adaptive Futures Edge) strategy incorporates advanced filters, adaptive logic, and volatility-based risk management, its performance is subject to market conditions, data accuracy, and user configuration.
Futures trading involves substantial risk, and the leverage inherent in futures contracts can amplify both gains and losses. This strategy may execute trades rapidly and frequently under certain conditions—particularly when filters are disabled or thresholds are set too tightly—potentially leading to increased slippage, commissions, or unanticipated losses.
Users are strongly advised to:
Backtest thoroughly across various market regimes.
Adjust parameters responsibly and understand the implication of each input.
Paper trade in a simulated environment before going live.
Monitor trades actively and use discretion when market volatility increases.
-By using this strategy, you accept all risks and responsibility for any trading decisions made based on its output.
Z-Score + RSI Strategy [JR28]This strategy is designed for intraday futures traders, particularly the MNQ (Micro Nasdaq) on the 15-minute chart. It identifies statistically significant price extremes using the Z-Score, then filters those signals with RSI momentum and a 50 EMA trend filter to trade only in the direction of the prevailing trend.
🔍 Entry Logic:
Long: Z-Score < –Threshold, RSI is oversold, and price is above EMA
Short: Z-Score > +Threshold, RSI is overbought, and price is below EMA
🎯 Exit Logic:
Dynamic Stop Loss and Take Profit based on percentage inputs (customizable)
✅ Key Features:
Combines mean reversion + momentum + trend
Customizable Z-Score and RSI thresholds
Strategy-ready with backtestable performance and visual chart signals
50 EMA Crossover With Monthly DCARecommended Chart Interval = 1W
Overview:
This strategy combines trend-following principles with dollar-cost averaging (DCA), aiming to efficiently deploy capital while minimizing market timing risk.
How It Works:
When the Long Condition is Not Met (i.e., Price < 50 EMA):
- If the price is below the 50 EMA, a fixed DCA amount is added to a cash reserve every month.
- This ensures that capital is consistently accumulated, even when the strategy isn't in a long position.
When the Long Condition is Met (i.e., Price > 50 EMA):
- A long position is opened when the price is above the 50 EMA.
- At this point, the entire capital, including the accumulated cash reserve, is deployed into the market.
- While the strategy is long, a DCA buy order is placed every month using the set DCA amount, continuously investing as the market conditions allow.
Exit Strategy:
If the price falls below the 50 EMA, the strategy closes all positions, and the cash reserve accumulation process begins again.
Key Benefits:
✔ Systematic Investing: Ensures consistent capital deployment while following trend signals.
✔ Cash Efficiency: Accumulates uninvested funds when conditions aren’t met and deploys them at optimal moments.
✔ Risk Management: Exits when the price trend weakens, protecting capital.
Conclusion:
This method allows for efficient capital growth by combining a trend-following approach with disciplined DCA, ensuring risk is managed while capital is deployed systematically at optimal points in the market. 🚀
Double SMA with VWMAUsing Long and short SMA with VWMA as filter, and MACD as second filter.
Using VWMA as trail profit taker.
Trailing Monster StrategyTrailing Monster Strategy
This is an experimental trend-following strategy that incorporates a custom adaptive moving average (PKAMA), RSI-based momentum filtering, and dynamic trailing stop-loss logic. It is designed for educational and research purposes only, and may require further optimization or risk management considerations prior to live deployment.
Strategy Logic
The strategy attempts to participate in sustained price trends by combining:
- A Power Kaufman Adaptive Moving Average (PKAMA) for dynamic trend detection,
- RSI and Simple Moving Average (SMA) filters for market condition confirmation,
- A delayed trailing stop-loss to manage exits once a trade is in profit.
Entry Conditions
Long Entry:
- RSI exceeds the overbought threshold (default: 70),
- Price is trading above the 200-period SMA,
- PKAMA slope is positive (indicating upward momentum),
- A minimum number of bars have passed since the last entry.
Short Entry:
- RSI falls below the oversold threshold (default: 30),
- Price is trading below the 200-period SMA,
- PKAMA slope is negative (indicating downward momentum),
-A minimum number of bars have passed since the last entry.
Exit Conditions
- A trailing stop-loss is applied once the position has been open for a user-defined number of bars.
- The trailing distance is calculated as a fixed percentage of the average entry price.
Technical Notes
This script implements a custom version of the Power Kaufman Adaptive Moving Average (PKAMA), conceptually inspired by alexgrover’s public implementation on TradingView .
Unlike traditional moving averages, PKAMA dynamically adjusts its responsiveness based on recent market volatility, allowing it to better capture trend changes in fast-moving assets like altcoins.
Disclaimer
This strategy is provided for educational purposes only.
It is not financial advice, and no guarantee of profitability is implied.
Always conduct thorough backtesting and forward testing before using any strategy in a live environment.
Adjust inputs based on your individual risk tolerance, asset class, and trading style.
Feedback is encouraged. You are welcome to fork and modify this script to suit your own preferences and market approach.
Money Maker(wundertrade bot)non-repainting trend-following strategy that combines multiple technical indicators with robust risk management features. Designed for both manual and automated trading, this strategy uses Supertrend filters across multiple timeframes to identify high-probability trade setups while incorporating RSI-based confirmation and exit signals.
Key Features:
Multi-Timeframe Trend Confirmation:
Uses 1-3 Supertrend indicators on different timeframes
Optional RSI filter for additional confirmation
Advanced Risk Management:
Three-tier take profit system with customizable percentages (default: 30%/30%/40%)
Stop loss that can automatically move to breakeven after specified TP level
Trailing stop loss activates after TP2 is hit
Non-Repainting Signals:
Strict anti-repainting logic prevents false backtest results
Flexible Trade Execution:
Full WunderTrading integration with JSON alert formatting
Visual trade markers and target levels on chart
Comprehensive Exit Logic:
Multiple exit conditions (TP targets, stop loss, RSI exits, trend reversals)
Optional RSI-based early exit signals
Ideal Market Conditions:
Works best in trending markets (both bullish and bearish)
Suitable for 1m-15m timeframes (optimize Supertrend periods accordingly)
Performs well with liquid assets that have good trend characteristics
Recommended Settings:
Start with default parameters
Adjust Supertrend periods/multipliers based on asset volatility
Modify TP percentages according to your risk tolerance
Enable RSI filter in ranging markets
Note: Always test thoroughly in a demo environment before live trading. Past performance is not indicative of future results.
RSI Reversal with EMA Filter Strategy## 3. RSI Reversal with EMA Filter Strategy
This strategy combines the power of RSI for identifying oversold/overbought conditions with EMA crossovers for trend confirmation.
### Strategy Overview:
The RSI (Relative Strength Index) with a short lookback period quickly identifies potential reversal points, while EMAs confirm the trend direction.
### Rules:
1. **Indicator Settings:**
- RSI Period: 2-6 (shorter period works best for intraday)
- EMA Fast: 9
- EMA Slow: 21
2. **Entry Criteria:**
- Buy when RSI < 15 and EMA 9 crosses above EMA 21
- Sell when RSI > 85 and EMA 9 crosses below EMA 21
3. **Exit Rules:**
- Target: 100 points
- Stop Loss: 20 points
### Performance Metrics:
- **Win Rate:** Up to 70% with proper risk management
- **Reward-to-Risk Ratio:** 5:1
- **Historical Performance:** RSI with shorter periods (2-6) has shown superior results for intraday trading
According to backtesting, RSI with shorter lookback periods (2-6 days) has consistently outperformed strategies using the traditional 14-period RSI setting.
SHORT_TRADING📈 EMA34 (Exponential Moving Average - 34 Period)
EMA34 is a technical analysis indicator that calculates the average price of an asset over the past 34 periods, giving more weight to recent prices. This makes it more responsive to recent price changes compared to a simple moving average.
🔍 Key Features:
Period: 34 candles (can be minutes, hours, days, depending on the chart timeframe)
Type: Exponential (faster reaction to price movements)
Purpose: Helps identify the current trend direction and potential support/resistance levels
📊 How Traders Use EMA34:
Trend Identification:
Price above EMA34 → uptrend
Price below EMA34 → downtrend
Dynamic Support/Resistance:
During uptrends, EMA34 often acts as a support
During downtrends, it acts as resistance
Entry/Exit Signals:
Crossovers with other EMAs (like EMA13 or EMA200) can signal potential trade setups
🧠 Common Pairing:
EMA34 is often used with shorter EMAs like EMA13 or longer ones like EMA55/EMA200 to create a moving average ribbon or crossover strategy.
Multi-Timeframe Reversal StrategyThis is my first published indicator. In spirit of this community it is free and I welcome any input to make it better. working on future projects on volume and taking tips from more experienced developers.
Reddington VIP 2.0### Description of "Reddington VIP 2.0" Strategy
**How the Code Works**:
"Reddington VIP 2.0" is a Pine Script v6 trading strategy implemented as an overlay indicator with automated entries and exits. It analyzes trends, support/resistance levels, and market momentum using EMA, MACD, ATR, and dynamic Swing levels. Entry signals are generated on level breakouts confirmed by trend direction, while exits occur at stop-loss or take-profit levels calculated based on ATR. Visualization includes trend lines, levels, and tables displaying trade details and performance statistics.
**Strategies Used**:
1. **Trend Filter (EMA)**: Determines market direction using an adaptive EMA (period adjusts to timeframe). Entries are allowed only in the trend direction ("Up" or "Down").
2. **Swing Level Breakouts**: Uses pivothigh/pivotlow to identify key resistance and support levels. Long entry on a breakout above SwingLow, Short entry on a breakdown below SwingHigh.
3. **Momentum Confirmation (MACD and Momentum)**: MACD (macd > signal for Long, macd < signal for Short) and positive/negative momentum confirm the strength of the move.
4. **Risk Management (ATR)**: Stop-loss (SL) and take-profit (TP) are calculated as ATR multiples (default 1.5x for SL, 4x for TP), adapting to volatility.
5. **Automated Trading**: Opens positions (Long/Short) and closes them at SL/TP or on an opposite signal, with entry points visualized via labels.
**How to Use**:
1. **Setup**: Load the strategy in TradingView, adjust parameters (EMA, MACD, ATR, Swing periods, SL/TP multipliers) to match your trading style and timeframe (5M, 15M, 1H, 4H, 1D, etc.).
2. **Monitor Signals**:
- "Long" (green label) — enter a buy, "Short" (red label) — enter a sell. Labels display entry price, SL, and TP.
- Blue line — EMA (trend), red dashed line — SwingHigh (resistance), green dashed line — SwingLow (support).
3. **Analyze Tables**:
- Main table (customizable position, default Bottom Center) shows current price, trend, entry level, SL, and TP.
- Gray stats table displays win rate, profit factor, net profit, and total trades.
4. **Manage Trades**:
- Entries are automatic when conditions are met.
- Exits occur at SL (if price hits stop-loss) or TP (if take-profit is reached).
- An opposite signal closes the current position with a "TP Long/Short" comment.
5. **Alerts**: Set up notifications for entry signals ("Buy Signal", "Sell Signal") and exits ("Stop Loss", "Take Profit").
**Example Usage**:
- On a 1H timeframe, price breaks above SwingLow, MACD > signal, EMA indicates "Up," and momentum > 0. The strategy opens a Long position, displays a label with Entry, SL, and TP, and updates the tables. If price drops to SL or rises to TP, the position closes automatically.
**Disclaimer**:
This strategy is not financial advice. Trading involves risks, and past performance does not guarantee future results. The author is not liable for losses. Test the strategy on a demo account and adjust parameters to your goals and market conditions before using it on a live account.
Reddington Vip### Brief Description of "Reddington Vip" Strategy
**Strategies Used**:
1. **MACD-Based Forecasting**: Predicts price trends using MACD crossovers and historical price memory for entry/exit signals.
2. **Higher High/Lower Low (HHLL)**: Identifies support/resistance and trend direction via pivot points and breakout patterns.
3. **False Breakouts**: Detects fake moves below support or above resistance, confirmed by RSI, MACD, and volume.
4. **Smart Money Concepts (SMC)**: Tracks order blocks, areas of interest (AOE), and structural breaks (BoS/CHoCH) for institutional activity.
5. **Adaptive Trend Finder**: Analyzes trend strength with Pearson’s R and dynamic channels for long/short-term trends.
6. **Volume and Volatility**: Uses volume spikes (LazyScalp) and ATR for trade confirmation and risk management.
7. **Fibonacci Levels**: Plots auto-Fibs to identify retracement zones for potential reversals.
**How to Use**:
1. Load the strategy in TradingView with `max_bars_back=1500`.
2. Monitor signals:
- "Buy" (green label) for Long entry, "Sell" (pink label) for Short entry.
- Check entry table (bottom center) for trade type and price.
3. Confirm with visuals: HHLL levels, MACD forecast lines, SMC blocks, Fibs, and LazyScalp board (volume/NATR).
4. Set stop-loss (default 25%) and take-profit via opposite signal closure.
5. Use alerts for real-time notifications on entries, take-profits, and stop-losses.
**Disclaimer**:
This strategy is not financial advice. Trading carries risks, and past performance does not guarantee future results. The author is not responsible for losses incurred. Test thoroughly on a demo account and adapt to market conditions before live use.
Aarika RSI Retracement StrategyHello Traders,
This RSI strategy is the only one you might want. Its really simple to use.
Default settings are good to go for timeframe of 5m and above; but REMEMBER shorter the timeframe, higher the RSI length is the key to make it work and vice-versa.
Don't forget to Backtest with the instructions given above.
Let me explain little bit about this strategy.
LONG: When RSI level is above 60 then it will show you "Long" entry. The interesting fact about this strategy that I've kept 40 level as SL not to washout capital. Because sometimes market is too volatile and reverses without hitting our target. And another condition (Profit booking) to exit the Long trade is that when the RSI level goes above 80.
SHORT: Just as opposite of Long, Short is below level 40 with SL above level 60 and profit booking is below 20 level.
THE BEST THING IS THAT YOU CAN CHANGE ENTRY LEVEL / PROFIT & SL LEVELS ACCORDING TO YOUR TRADING STYLE.
I hope you might find this one of the best RSI strategies available in community.
Thanks.
N.B.: For reference i considered broker commission at 0.03%. So it gives more accurate result while backtesting.
Jeanius Productions - XXX V16(Launch Edition))Jeanius Productions - XXX V16 (Launch Edition)
Overview
XXX V16 is a high-performance scalping strategy designed to maximize precision and efficiency. It utilizes EMA crossovers, trend validation, and adaptive risk management to capitalize on momentum.
Key Features
🔥 Smart Entry System – EMA crossovers confirm directional shifts.
🚀 Optimized Take Profit – TP1 (30 pips) and TP2 (60 pips), with time-based filtering.
✔ Automatic Trade Reversals – Opposite trades close before new positions open.
📈 Multi-Timeframe Validation – Trades only when aligned with market trends.
Why Use XXX V16?
✔ Refined for Scalping & Short-Term Trading
✔ Integrated MT5 Signal Execution
✔ Risk-Controlled, Time-Based Optimization
Trade with confidence. Turn momentum into profits. 🚀🔥
Let me know if you’d like any final tweaks
8th Gate OpenThis script is a quantitative price action strategy designed to identify contextual engulfing patterns filtered by macro-level trend confirmation and dynamic Fibonacci levels, then manages positions with EMA/MA crossovers, adaptive stop mechanisms, and customizable timeframes.
Use 6H and 1D as secondary timeframes for best results.
TRIX Strategy)trix strategy with rsi
this is a winning strategy if used with good setting can get 140 pesent roi per year
this is true i have done that with this strategy jast play with the setting to get the best result
АТР 10+Strategy Description
The "ATR 10+" strategy uses the Supertrend indicator to determine the trend direction based on price volatility. The Supertrend indicator is calculated using the Average True Range (ATR) and a Factor, which creates a dynamic line serving as a guide for entering and exiting positions.
Key Parameters
ATR Length:
This parameter defines the number of candles used to calculate the ATR (Average True Range).
In this strategy, the value is set to 10, meaning volatility is calculated based on the last 10 candles.
Factor:
A coefficient that multiplies the ATR value to determine the distance between the price and the Supertrend line.
In this strategy, the value is set to 3.0, making the Supertrend line less sensitive to minor price fluctuations.
How It Works
Supertrend Indicator:
The Supertrend line is plotted either above or below the current price, depending on the trend direction.
If the price crosses above the Supertrend line, it signals the start of an uptrend.
If the price crosses below the Supertrend line, it signals the start of a downtrend.
Entry/Exit Signals:
When the trend direction changes from down (-1) to up (1), a long position (LONG) is opened.
When the trend direction changes from up (1) to down (-1), a short position (SHORT) is opened.
Entry Conditions
Long Position (LONG):
Condition: The trend direction changes from down (-1) to up (1).
Action: The strategy opens a long position.
Short Position (SHORT):
Condition: The trend direction changes from up (1) to down (-1).
Action: The strategy opens a short position.
Alerts
The strategy includes alerts via the alertcondition function, allowing you to receive notifications about entry signals for long or short positions:
Long Position Alert (Long Signal): Triggered when a long position is opened.
Short Position Alert (Short Signal): Triggered when a short position is opened.
The alert message can include information about the ticker and signal type (e.g., LONG or SHORT).
Advantages of the Strategy
Simplicity: It uses only one indicator — Supertrend.
Flexibility: ATR Length and Factor parameters can be adjusted for different timeframes and assets.
Automation: Alerts allow you to track signals without constantly monitoring charts
XRP/USD Advanced Trading StrategyKey Features:
Triple Confirmation System combines:
Moving Average crossover (9-period vs 21-period)
RSI oversold/overbought conditions (14-period)
MACD histogram crossover
Risk Management:
Built-in stop loss/profit taking (modify via strategy settings)
Margin requirements specified (100:1 leverage)
Visual Elements:
Clean price chart overlay
Clear buy/sell arrows with labels
Moving average plots for trend identification
Optimization Tips:
Adjust MA lengths for different timeframes (shorter for day trading)
Modify RSI levels based on market volatility
Combine with Ichimoku Cloud for additional confirmation
Use Bollinger Bands® to filter false breakouts
Backtesting:
Test on multiple timeframes (4h/daily weekly)
Check performance during different market conditions
Optimize parameters using Strategy Tester
This strategy reduces false signals by requiring confirmation from three different technical indicators while maintaining clarity in signal generation. Always validate with fundamental analysis and market news before executing trade
