ARENA-HUB-DC-Strategy V2.0Name: Arena-Hub DC-Strategy V2.0
This script is an advanced trend-following strategy that dynamically combines RSI, SMA, EMA, ATR, ADX, and volume indicators using a unique weighting and filtering mechanism. Instead of simply combining traditional indicators, it applies them in a unique way:
✅ Dual RSI Comparison: The strategy utilizes two RSI indicators, analyzing their relative movement to filter out false signals and provide more precise entry points.
✅ Custom Entry and Exit Rules: EMA crossovers alone do not generate signals; instead, they go through a dynamic RSI filter that takes market volatility into account using ATR and ADX.
✅ Intelligent Trend Identification: Instead of standard moving averages, a uniquely weighted SMA/EMA system is used to assess trend strength and stability.
✅ ATR, ADX & Volume-Based Weighting: The EMA length is dynamically adjusted based on ATR, ADX, and volume, allowing moving averages to react faster in strong trends while smoothing out in choppy markets.
✅ Why Invite-Only?
This strategy applies proprietary calculations and filtering methods that go beyond simply merging traditional indicators. Since it is a custom-developed strategy, access is invite-only to protect the source code.
Indikatoren und Strategien
SMC Smart Money AI Ultra Aggressive BTCUSD 4HThis strategy is built upon the core principles of Smart Money Concepts — specifically Order Blocks, Fair Value Gaps, Liquidity Sweeps, and structural trend confirmation using EMA and RSI. The model uses AI logic to identify high-probability entry zones and maximize trend-based profit potential.
🧪 Best Results on the 4H Timeframe
After extensive historical backtesting on the BTCUSD pair using the 4-hour chart, this strategy demonstrated extraordinary performance with over +10,405% net return and a profit factor of 5.39.
📊 Strategy Performance Highlights:
✅ Total Net Profit: $1,040,592.38
💹 Profit Percentage: +10,405.92%
📈 Max Drawdown: 7.28%
🎯 Win Rate: 92.68% (1634 winning trades out of 1763)
🧠 Profit Factor: 5.39
📊 Avg. Win: $781.60 | Avg. Loss: $1,833.71
⏳ Avg. Time in Trade: 2 candles (quick trades)
🔒 Risk Management: ATR-based dynamic SL/TP
🔧 Core Components:
EMA-200 for macro trend filtering.
Order Blocks for Smart Money entry zones.
Fair Value Gaps for imbalance targeting.
RSI for momentum validation.
ATR for precise stop-loss/take-profit settings.
📌 Recommended Pair & Settings:
Pair: BTCUSD
Timeframe: 4H (works best on medium-term setups)
Risk: Adjustable (default 10% equity per trade)
Exchange Commission: 0.1% built-in
Let me know if you'd like a shortened version for the Pine script header or want to include a link to your public TradingView profile or any branding elements!
Binary Strategy - TheSniperTraderA contrarian scalping strategy in the futures market, designed to stabilize market efficiency by capitalizing on price reversals. The strategy has no stop loss , instead employing a cascading approach—adding to the position size each time the price moves in the wrong direction—and closes the full position when the target profit is reached. Without delving into intricate details, the strategy adheres to the following basic rules:
Position sizing is determined by a customized indicator based on cumulative reversal probability, which also contributes to identifying the signal’s direction.
Direction is determined by the Moving Average: price above the Moving Average signals a Short position, while price below it signals a Long position.
The threshold for entries and exits is adjusted based on the range between extremes (highest high minus lowest low) over the past 100 historical bars.
The next limit entry is placed at a distance equal to the threshold length below (for Long) or above (for Short) the current average price.
The next target profit is set at a distance equal to the threshold length above (for Long) or below (for Short) the current average price.
A signal is triggered when there is a sudden price movement detected by the RSI (Relative Strength Index).
When a signal is identified, the strategy starts with a risk-reward ratio (RR) of 1:1. However, the RR worsens as the cascading steps—referred to as inventory I —increase, because the average entry price shifts unfavorably with each new position added. To mitigate the risk of liquidation, the strategy aims to hold a smaller inventory amount over time. This is achieved by using a multiple threshold multiplier: when a specified inventory limit is reached, the threshold for the next entry increases, and the threshold for the next target profit decreases. As a result, with higher inventory levels, the strategy accepts a lower RR but increases the likelihood of hitting the target profit.
The target profit is always set above the average entry price (for Long) or below it (for Short), ensuring that the strategy eventually closes at a profit. This leads to a 100% win rate but comes with relatively high drawdowns due to the absence of a stop loss and the cascading nature of the positions. The strategy performs best in a consolidation market in 1 minute timeframe, where price tends to oscillate within a range, allowing the contrarian approach to capitalize on reversals. The strategy’s name is derived from its customized indicator for position sizing, which leverages cumulative reversal probability to optimize position sizes and assist in determining the signal’s direction.
Check out my Youtube channel: www.youtube.com
Reddington Vip#### English
**How to Use the Strategy**
1. **Add the Strategy to TradingView**:
- Open TradingView, go to the "Pine Editor" tab, paste the strategy code, and click "Add to Chart".
2. **Set Up Alerts**:
- Click the "Alerts" icon (bell) in TradingView.
- Select the strategy from the dropdown menu.
- Create alerts for the following conditions:
- "Buy Entry" — triggers when a Long position opens.
- "Sell Entry" — triggers when a Short position opens.
- "Long Take Profit" — triggers when a Long position closes.
- "Short Take Profit" — triggers when a Short position closes.
- "Long Stop Loss" — triggers when a Long position hits the stop-loss level.
- "Short Stop Loss" — triggers when a Short position hits the stop-loss level.
- Enable sound notifications or other preferences (e.g., email, pop-up).
3. **Adjust Stop-Loss (SL)**:
- By default, the stop-loss is set to 25% of the entry size.
- To change it, go to the strategy settings:
- Right-click on the chart → "Settings" → "Inputs" tab.
- Find "Stop Loss Percent" and enter your preferred value (e.g., 10, 20, 30).
4. **Understand Take-Profit (TP)**:
- The take-profit is automatically triggered when an opposite signal appears (e.g., a Sell signal closes a Long position, a Buy signal closes a Short position).
5. **Monitor the Entry Table**:
- A gray table at the bottom center of the chart displays the entry type ("Long" or "Short") and the entry price (e.g., "83169.3 USDT").
- It updates with each new trade.
**Test Results**: BTCUSDT.P (15m)
- Total Trades: 29 (15 Long, 14 Short).
- Win Rate: 75.86% overall.
- Long Win Rate: 66.67% (10 out of 15).
- Short Win Rate: 85.71% (12 out of 14).
- Net Profit: (+9.38%).
- Maximum Drawdown: (1.66%).
#### English
**Disclaimer**: This strategy is provided for informational and educational purposes only. It is not financial advice. Trading involves significant risks, including the potential loss of capital. Past performance, such as the test results shown, does not guarantee future results. Always consult a qualified financial advisor before making trading decisions. Use at your own risk.
Tae's Multi-Signal Trend StrategyThis is a trend-following strategy designed for long-term positions. It uses a combination of momentum, volume, and price structure to find strong bullish setups. The logic checks multiple conditions before entering and exits when short-term strength fades.
Tip: Use Heikin Ashi candles for cleaner market structure and smoother entries.
You can also toggle extended hours trading.
Works best on higher timeframes.
Doji S/R Trading Bot - Points-Based TPdoji based bot with golden pocket entry includes a adjustable take profit with a trailingstop that activates once we get past a dollar amount
Jessica Sniper Scalping Strategy [ES Futures]🔍 What This Script Does:
✅ Filters for High-Conviction Scalps:
Trades only during RTH (9:30 AM–4 PM ET)
Requires trend alignment using 30m + 4H EMAs
Confirms breakouts (price closes strong above/below range)
Requires a volume spike (>1.5× 20-bar average)
Avoids fakeouts (wicky candles against trend)
Only enters trades with 1:3 risk-to-reward
Multi-Timeframe RSI-SMA Strategy [EB]Here's a concise English explanation of the optimized multi-timeframe RSI-SMA strategy:
---
### **Strategy Overview**
A dynamic trading system combining **RSI-SMA crossovers** with adaptive parameters for all timeframes (1min to monthly). Automatically adjusts indicators, risk levels, and filters based on chart timeframe.
---
### **Key Features**
1. **Auto-Adjusting Parameters**
- *RSI/SMA Periods*: Shrink on lower TFs (10/20 for 1min), expand on higher TFs (28/200 for monthly)
- *ATR Multipliers*: 1.5x (1min) → 4.5x (monthly)
- *Volume Filters*: 2x avg volume (1min) → 0.5x (monthly)
2. **Entry Conditions**
- RSI crosses above SMA
- Price > 5-period high
- Bullish candle close
- Volume > dynamic threshold
- Uptrend confirmed (Fast EMA > Slow EMA)
3. **Risk Management**
- **Stop Loss**: ATR-based (1.5-4.5x volatility)
- **Take Profit**: 3-10% targets (scales with timeframe)
- Emergency exit on RSI reversal or 5-period low break
4. **Visual Tools**
- Green "LONG" labels below bars
- Red stop-loss line
- Green take-profit line
- Auto-adjusted alert messages
---
### **Timeframe-Specific Optimization**
| TF | RSI | SMA | ATR Mult | TP% |
|---------|------|------|----------|------|
| 1min | 10 | 20 | 1.5x | 3% |
| 1hr | 18 | 50 | 2.5x | 5% |
| Daily | 22 | 100 | 3.5x | 7% |
| Monthly | 28 | 200 | 4.5x | 10% |
---
### **Usage Notes**
1. **Chart Setup**
- Works on any US market instrument (stocks, ETFs, indices)
- Default: 2% risk per trade (adjust via `default_qty_value`)
2. **Best Applications**
- Scalping: 1-15min TFs
- Swing Trading: 4hr-daily TFs
- Position Trading: Weekly-monthly TFs
3. **Critical Filters**
- NYSE market hours for daily+ TFs
- Weekend trading blocked
- Low-volume symbols auto-filtered
---
### **Alert Examples**
```pine
Entry: "TSLA 15min LONG - Entry: $250.50, SL: $245.30, TP: $263.00"
Exit: "AAPL 1hr EXIT - Price: $185.40 (4.2% Profit)"
```
**Backtest Recommendation:** Test across 3 market cycles (bull/bear/sideways) with 0.1% commission simulation before live trading.
This self-adapting system combines technical indicators with volatility-adjusted risk management for consistent cross-TF performance.
Moving Average Crossover StrategyMoving Average Crossover Strategy helps us to under stand, when to enter and when to exit
Aadarsh Ke Hooks longThis strategy is based on statistical analysis and quantitative analysis. Usefull when we trigger it above 50 sma... Please comment for script Improvements and restoring passion and plz boost the coder. Kethavath Aadarsh...
/**
* Strategy Overview:
* ------------------
* This strategy is based on comprehensive statistical and quantitative analysis, designed to trigger trading
* actions when the asset's price moves above its 50-day Simple Moving Average (SMA). The use of this indicator
* helps to confirm market momentum and may signal the onset of a trend, thereby potentially increasing the probability
* of capturing profitable opportunities.
*
* Script Improvements:
* --------------------
* 1. **Modularization:** Break down the logic into smaller, reusable functions for easier maintenance and improved readability.
* 2. **Error Handling:** Implement comprehensive error handling and logging to monitor unexpected behavior and data anomalies.
* 3. **Performance Optimization:** Optimize data-fetching methods and state management to reduce unnecessary re-renders and enhance efficiency.
* 4. **Testing:** Introduce unit tests to validate core functionalities, ensuring that future modifications do not compromise stability.
* 5. **Documentation:** Maintain clear and consistent inline documentation for functions and critical logic to facilitate future updates.
*
* Inspiration for the Developer:
* ------------------------------
* Remember, every line of code is an opportunity to learn and innovate. Your work today is laying the foundation
* for tomorrow's success. Keep challenging yourself, refine your code continuously, and stay passionate about
* solving problems through elegant, efficient solutions. Your drive and dedication make a difference—keep up the
* great work and continue pushing the boundaries of what's possible!
*/
Liquidity Grab + Smart Money Divergence StrategyLiquidity Grab + Smart Money Divergence Strategy, best so far
Channel Breakout Strategy with SignalsThe Channel Breakout Strategy implemented in the provided Pine Script v6 code is a trend-following trading system based on the concept of price breaking out of a defined range, commonly known as a Donchian Channel. It aims to capture significant price movements by entering trades when the price exceeds its recent high or low over a specified lookback period. Below is a detailed description of the strategy, tailored to its application in the Indian market or any other context.
Core Concept
The strategy uses a price channel formed by the highest high (upper channel) and lowest low (lower channel) over a user-defined number of bars (e.g., 20). A breakout occurs when the price moves beyond these levels, signaling potential momentum in that direction. The strategy assumes that such breakouts indicate the start of a trend, which it seeks to ride for profit.
Upper Channel: The highest high over the lookback period, representing resistance.
Lower Channel: The lowest low over the lookback period, representing support.
Breakout: Price closing above the upper channel (bullish) or below the lower channel (bearish).
This is a classic momentum strategy, popularized by traders like Richard Donchian, and is particularly effective in trending markets like the Indian equity market during periods of strong FII inflows, economic reforms, or sectoral rallies.
1-Min BTC Scalping StrategyAkshay 1 min BTC scalping uses moving averages, RSI , ADX and Stochastics to determine trend.
ThinkTech AI SignalsThink Tech AI Strategy
The Think Tech AI Strategy provides a structured approach to trading by integrating liquidity-based entries, ATR volatility thresholds, and dynamic risk management. This strategy generates buy and sell signals while automatically calculating take profit and stop loss levels, boasting a 64% win rate based on historical data.
Usage
The strategy can be used to identify key breakout and retest opportunities. Liquidity-based zones act as potential accumulation and distribution areas and may serve as future support or resistance levels. Buy and sell zones are identified using liquidity zones and ATR-based filters. Risk management is built-in, automatically calculating take profit and stop loss levels using ATR multipliers. Volume and trend filtering options help confirm directional bias using a 50 EMA and RSI filter. The strategy also allows for session-based trading, limiting trades to key market hours for higher probability setups.
Settings
The risk/reward ratio can be adjusted to define the desired stop loss and take profit calculations. The ATR length and threshold determine ATR-based breakout conditions for dynamic entries. Liquidity period settings allow for customized analysis of price structure for support and resistance zones. Additional trend and RSI filters can be enabled to refine trade signals based on moving averages and momentum conditions. A session filter is included to restrict trade signals to specific market hours.
Style
The strategy includes options to display liquidity lines, showing key support and resistance areas. The first 15-minute candle breakout zones can also be visualized to highlight critical market structure points. A win/loss statistics table is included to track trade performance directly on the chart.
This strategy is intended for descriptive analysis and should be used alongside other confluence factors. Optimize your trading process with Think Tech AI today!
EMA7 / Donchian 100 Cross📘 EMA7 / Donchian 100 Crossover Strategy
🎯 Overview
The EMA7 / Donchian 100 Crossover Strategy is a trend-following system designed to capture directional momentum by leveraging the short-term Exponential Moving Average (EMA) and the median of a long-term Donchian Channel. This strategy aims to identify early entries in emerging trends while applying disciplined risk management via configurable stop-loss and take-profit parameters.
⸻
⚙️ Strategy Logic
• Indicator 1:
EMA(7) – A fast-moving average used to track short-term price direction.
• Indicator 2:
Donchian Channel (100) – A long-term volatility-based channel. The midline, calculated as the average of the highest high and lowest low over the last 100 periods, acts as a dynamic threshold for trend confirmation.
⸻
📈 Trade Entries
• Long Entry
A buy signal is generated when the EMA7 crosses above the Donchian midline, indicating a potential bullish trend.
• Short Entry
A sell signal is generated when the EMA7 crosses below the Donchian midline, suggesting a potential bearish trend.
⸻
🛡️ Risk Management
Each trade includes:
• Take-Profit (TP): Defined as a percentage gain from the entry price (default: +2.0%)
• Stop-Loss (SL): Defined as a percentage loss from the entry price (default: -1.0%)
These values are fully customizable and ensure clear exit rules to protect capital.
⸻
📊 Trading Style
• Type: Trend-following
• Timeframe: Suitable for intraday or swing trading
• Markets: Index futures, forex, stocks, or cryptocurrencies
• Conditions: Works best in trending markets with clean directional movement.
⸻
Advanced Trading StrategyThe financial markets have always been a fascinating arena for traders and investors seeking to capitalize on price movements and market trends. Over the years, various technical analysis tools and strategies have been developed to help market participants make informed decisions. Indicators like Moving Averages, RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), and Bollinger Bands have become essential components of modern trading systems. These indicators provide valuable insights into market momentum, trend strength, and potential reversal points. Combining multiple indicators into a cohesive strategy allows traders to confirm signals and reduce false positives, ultimately increasing the probability of successful trades.
Pindhol Algo v1.331This Is a Simple Strategy Bassed On Support Resistance
Buy Signal On Support And Sell Signal On Resistance
so Enjoy It
Advanced Trading StrategyThe financial markets have always been a fascinating arena for traders and investors seeking to capitalize on price movements and market trends. Over the years, various technical analysis tools and strategies have been developed to help market participants make informed decisions. Indicators like Moving Averages, RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), and Bollinger Bands have become essential components of modern trading systems. These indicators provide valuable insights into market momentum, trend strength, and potential reversal points. Combining multiple indicators into a cohesive strategy allows traders to confirm signals and reduce false positives, ultimately increasing the probability of successful trades.
RSI Overbought/Oversold StrategyRSI Overbought/Oversold Trading Strategy
This strategy uses the Relative Strength Index (RSI) to identify overbought and oversold conditions in the market. It helps traders decide when to enter or exit trades based on momentum shifts.
Buy Signal
Occurs when RSI crosses above 30.
This suggests the asset was oversold and may be recovering, presenting a buying opportunity.
Sell Signal
Occurs when RSI crosses below 70.
This suggests the asset was overbought and may start declining, signaling a profit-taking exit.
Stratégie Heikin Ashi 500 ticks - EMA200 + SL/TPStrategy Name: Heikin Ashi EMA200 Reversal Strategy – 500 Tick
Description:
This strategy is designed for scalping and intraday trading using 500-tick charts. It is based on a reversal setup derived from Heikin Ashi candle patterns combined with a long-term trend filter (EMA200) and includes configurable stop-loss and take-profit levels.
Core Logic:
• Trend Filter:
The strategy uses an Exponential Moving Average (EMA200) applied to Heikin Ashi closing prices to determine the long-term market trend.
• Reversal Setup:
A buy signal is generated when:
• Price is above the EMA200
• A red Heikin Ashi candle is followed by two consecutive green candles
• This occurs within the specified trading hours
A sell signal is generated when:
• Price is below the EMA200
• A green Heikin Ashi candle is followed by two consecutive red candles
• This occurs within the specified trading hours
• Trading Session Filter:
Entry signals are only valid within the user-defined trading window (default: 9:00 to 17:00 UTC).
• Exit Rules:
Positions are closed when the opposite Heikin Ashi candle appears (color reversal).
Additionally, the strategy supports a configurable Stop Loss and Take Profit system, both based on percentage values relative to the entry price.
Customization:
Users can adjust:
• Start and end trading hours
• Stop loss and take profit percentages
• All parameters are accessible directly in the script’s input settings.
Reddington VIP 2.0#### English
**Description**: This script is designed for automated trading on financial markets. It identifies entry points for buying and selling, sets stop-loss and take-profit levels, and displays key trading statistics in a table. Alerts notify the user about entry points, stop-loss triggers, and take-profit achievements.
**How to Use**: Add the script to your trading platform (e.g., TradingView), apply it to a chart (recommended: BTC, 15-minute timeframe), and configure alerts via the platform's "Add Alert" feature to receive notifications. Adjust settings like stop-loss and take-profit multipliers in the script’s inputs if needed. Monitor the gray table on the chart for trading performance.
**Test Results**: Tests showed a win rate of 60% (12 out of 20 trades) and a profit-to-loss ratio of approximately 2.61:1 (based on historical BTC 15m data from August 2, 2024, to March 19, 2025).
**Disclaimer**: This script is not financial advice. Past performance does not guarantee future results. Consult a financial advisor before trading and use at your own risk.
