Kyde Khumalo
Python Automation and Algorithmic Trading
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A Python backtest engine that pulls MT5 price data and replays the bot's signal and trade logic candle by candle, with broker server time and timezones handled correctly. It factors in real trading costs like spread, slippage, and commission per lot, so results aren't overly optimistic. It supports several strategies, including BBMA, Supertrend, Ichimoku, and supply and demand. All settings live in a config file, so parameters can be changed without touching the code, and every run saves its own trade log and equity log.
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An automated MetaTrader5 Expert Advisor, ported into MQL5 from my own Python trading bot. It runs two switchable strategies: BBMA (Bollinger Bands) and a Fast/Slow MA crossover. Signals are only checked on closed candles to avoid false entries. It also includes duplicate-order protection, magic number trade isolation, configurable lot size, and a signals-only test mode. It works on any symbol and timeframe, and it was backtested on XAUUSD M15 over 12 months in the MT5 Strategy Tester.
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A modular Python trading bot connected to MetaTrader 5 that runs EMA and BBMA strategies automatically. It handles execution, risk controls, Telegram and email alerts, and CSV trade logging. If it goes down, restart recovery picks up any exit deals it missed without creating duplicate records, so the trade history stays accurate. Strategies, risk, and notifications all live in a config file and can be changed without touching the core code.
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A Python script that keeps an eye on Amazon product prices and emails you the moment one drops to your target. You list products, URLs, and target prices in a simple JSON file. The script checks each page with Requests and BeautifulSoup, cleans up the price text, compares it to your target, and sends an instant alert over SMTP when there's a match. Adding a new product is as easy as adding a line to the JSON file, with no code changes needed.
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