Black Punisher Test
- Experts
- Sabrina Hellal
- Versione: 3.4
- Aggiornato: 12 marzo 2025
Black Punisher Expert Advisor
Unknown Risk /// Support for the free version will stop on 2025.06.01 and the expert may stop trading. Please be careful ////
Why a demo version
To be more reliable + No fake backtest + Customer will not buy until they try it on a live or demo account + No fake reviews
The Black Punisher is an advanced automated trading expert advisor designed specifically for trading the XAUUSD + USDJPY + EURUSD+ US30 index and us100. It operates on (H1) timeframes, integrating artificial intelligence (AI), including deep learning and neural networks, to analyze the market with precision. Additionally, it connects to reliable data sources like Investing.com to retrieve the latest support and resistance levels and seamlessly integrates with the OpenAI API .
New Trading Signal Version 3.4 = LIVE SIGNAL
User Manual = File
ALL SET MIDIUM RISK = XAUUSD + USDJPY + EURUSD+ US30 index and us100
BTC = not servise
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In this test version, 0.04 fixed lots are used.... Unknown Risk /// Support for the free version will stop on 2025.06.01 and the expert may stop trading. Please be careful //// >>>>>>> NEW OFFER price reduced from $999 to PRICE 300$ Exclusive Ramadan Offer! Enjoy the full version from here >>>>>>> FULL VERSION |
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Key Features
Feature | Details |
Symbol | XAUUSD + USDJPY + EURUSD+ US30 index and us100 |
Timeframe | H1 |
Digits | 2 Digits + 1 digit for US30 index and us100 |
Capital | Minimum $100 |
Broker | Any broker |
Account Type | Any, lower spread preferred |
Leverage | From 1:20 + More |
VPS | any or (MQL VPS) |
RAM | 1 GB for all 6 platforms The expert requires random access memory for storage due to training operations |
Prop Firm | Supported |
Risk-Free Strategies
- Avoids dangerous strategies like Martingale, hedging, or arbitrage.
- Employs small stop-loss levels and fixed profit-taking points.
AI Integration
- Utilizes advanced algorithms in deep learning and neural networks.
- Connects to the OpenAI API for analyzing historical and current market data, predicting future market movements, and enhancing trading decision accuracy.
Support and Resistance Data
- Accesses trusted sources like Investing.com for the latest support and resistance levels.
- Integrates these levels with AI analyses for deeper insights, identifying optimal entry and exit points.
High Liquidity and Volatility Zones
- Identifies areas of expected high liquidity or increased volatility through integrated analysis, aiding informed trading decisions.
Loss Recovery Strategy
- Activates a recovery mode if stop-loss or predefined daily/weekly loss limits are reached.
- Compares capital, profits, and losses to evaluate market conditions.
- Deploys deep learning algorithms to develop loss recovery strategies, such as adjusting lot sizes or entry/exit levels, aiming to recover a portion of previous losses. Recovery algorithms only activate when the probability of success exceeds 85%.
Smart Profit Tracking
- Incorporates multi-layered profit tracking algorithms:
- Dynamically locks in half the position at the first milestone.
- Adjusts to the second milestone based on liquidity levels, disabling the first layer.
- Activates a final layer to trail price movements until the last feasible point.
Liquidity and Volatility Analysis
- Identifies high-liquidity and high-volatility zones to execute trades under optimal conditions.
Advanced Risk Management
- Employs trailing stop-loss and breakeven points to protect profits and minimize losses.
Trading Strategies
Support and Resistance Strategy
- Relies on classical support and resistance data, proven effective over time.
- Enhances this traditional strategy with AI algorithms to increase profitability, the cornerstone of successful trades.
- Utilizes AI to compensate for losses by identifying high-probability trade setups in support and resistance areas.
In my point of view.. it is good and safe EA. Free version showing that author is transparant and let market test the EA. It is the right way to sell EA. Hope other EA Author follow this method. The author also explain well when I ask questions.