Trading utilities for MetaTrader 4
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MetaTrader 4
Top Rated Products MT4
Overview
PythonX – GBPUSD M1 Scalper
Big Price Drop – From $1199 to $999 with updated version 7.0
This is not just a sale — it’s my commitment to help retail traders win the trading game.
The current price is reduced for a limited time.
Now is the perfect time to download the free demo, run your backtests, and be ready to purchase once you're satisfied.
Designed for accuracy, optimized for speed, tailored for retail traders.
Product Overview
PythonX is an Expert Advisor that trades exclusively on the GBPUSD M1 (1-minute) timeframe. It uses a clean, smart logic without grid or martingale strategies.
Key Features
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Ready to use, no optimization needed
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No repainting of signals
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No martingale or grid systems
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Only supports GBPUSD M1
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Recommended minimum deposit: $500
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Suitable for both beginner and experienced traders
Important Notes
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Works only on GBPUSD M1
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Performance depends on broker conditions
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No guarantee of profits — please test with demo or backtesting before purchase
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Not a high-risk or “get rich quick” system
Backtest Summary (Initial Deposit $1,000, Leverage 1:1000)
| Broker | Period | Net Profit | Max Drawdown | Trades | Win Rate |
|---|---|---|---|---|---|
| OctaFX | 2015-2025 | $123,574 | 5.63% | 3,077 | 76.96% |
| IC Markets | 2015-2025 | $111,034 | 2.90% | 2,732 | 77.23% |
| FundedNext | 2015-2025 | $85,293 | 7.55% | 2,502 | 75.54% |
| HF Markets | 2015-2025 | $71,637 | 18.09% | 1,831 | 76.13% |
| Exness | 2015-2025 | $93,826 | 11.09% | 2,000+ | ~75% |
Results may vary depending on broker conditions.
Demo Available
Test the EA on a demo account or backtest it with your broker’s data before purchasing. Buy only if satisfied with the results.
Licensing & Pricing
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Limited to 500 licenses only
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Price increases after every 50 sales
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No further sales after 500 licenses are sold
Ideal For
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Prop firm challenge participants
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Copy trading leaders
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Investors seeking a tested, reliable system
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Beginners looking for a trustworthy EA
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Traders wanting to diversify their portfolio with algorithmic strategies
Support
For questions, use MQL5 comments or messaging. No external contact info is provided per MQL5 policy.
