ReeseTradeAlgo
ReeseTradeAlgo is a Python-based algorithmic trading system that utilizes real-time data from Alpha Vantage API and technical indicators to make trading decisions for the AAPL stock. It includes functionalities for fetching real-time data, calculating technical indicators, training a machine learning model, and executing trades through a simulated brokerage API.FeaturesReal-time data fetching from Alpha Vantage API.Calculation of various technical indicators such as MACD, RSI, Stochastic Oscillator, and Bollinger Bands.Training of a Random Forest classifier using historical stock data.Execution of buy/sell orders based on the trading decisions made by the trained model.Multithreaded implementation for continuous real-time trading
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I am looking for an experienced MQL4/MQL5 HFT developer to build or optimize a High-Frequency Trading (HFT) Expert Advisor that can successfully pass proprietary trading firm challenges and perform consistently under live trading conditions with brokers such as 8cap or BlackBull Markets . The developer should have proven experience with HFT execution, ultra-low-latency trading, broker execution, slippage, spreads
I have a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5 designed primarily for US30 (Dow Jones Index) . The EA performs consistently and profitably on demo accounts, but when I run it on an IC Markets Raw or Standard live account, it starts generating losses under what appear to be the same trading conditions. At this time, I cannot provide the source code (.mq4/.mq5). I can only provide the
Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE
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