Complete Forex Trading Course: ChatGPT, MetaTrader5 & Python

Explore how ChatGPT serves as a Python coding assistant, helping write, explain, and debug code, with practical examples using pandas, the moving average, RSI, and a MetaTrader 5 trading bot.

Use ChatGPT to write Python scripts that connect to MetaTrader five, fetch current EURUSD bid and ask prices, and test code in PyCharm to accelerate forex analysis.

Explore how a custom GPT for forex trading with the MetaTrader5 Python API delivers ready-to-run code and robust error handling, outperforming normal GPT for bot development.

Set up your XM trading account by completing registration, email verification, and KYC, then configure a demo with MetaTrader 5 for risk-free practice.

Install and configure MetaTrader 5 on Windows, connect to your XM trading account, and navigate the MT5 interface with Market Watch, charts, Navigator, and Toolbox for trading.

Explore the fundamentals of the forex market, including currency pairs, bid and ask quotes, spreads, and how CFDs, leverage, and liquidity drive trading decisions.

Explore the forex market's structure and key participants—from retail traders and financial institutions to central banks—plus brokers, ECN, and liquidity providers shaping liquidity and spreads.

Explore essential forex terminology, including pips, lot sizes, leverage, margin, and free margin, and learn how margin calls and risk management protect your trading capital.

Explore the major forex sessions, Tokyo, London, and New York, and how time zones, overlaps, and volumes shape volatility, guiding when to trade and manage risk.

Master fundamental analysis in forex trading by evaluating interest rates, inflation, GDP, and central bank policy to inform risk-managed strategies using Investing.com.

Master technical analysis in forex trading by evaluating price action across line, bar, and candlestick charts to identify trends, support, and resistance for informed entry and exit decisions.

Explore moving averages, MACD, RSI, and Bollinger Bands to confirm trends, time entries, and manage risk in forex trading, while noting overbought, oversold signals and limitations.

Master sentiment analysis in forex by studying market sentiment and how news, social media, the Cot report, and positioning data shape currency prices.

Master forex risk management by calculating position sizes, risk per trade, and using stop-loss and take-profit orders, guided by the 1-2% rule.

Explore back testing for forex by applying trading rules to historical data to gauge profit and risk, read metrics like drawdown, win rate, and Sharpe ratio to assess robustness.

Backtest a moving average crossover strategy for eur/usd using ChatGPT and the MetaTrader Algo Trader Expert; optimize with grid search and evaluate Sharpe ratio, maximum drawdown, and win rate.

Learn how grid search methodically tunes moving average crossover parameters to optimize Sharpe ratio across two decades of backtesting, with practical steps for applying this approach to any trading strategy.

Explore forward testing with unseen data to validate a 29/160 moving average crossover forex strategy on the Euro USD pair, showing why backtests mislead and how robustness is assessed.

Learn to build a forex trading bot with ChatGPT, Python, and Mt5, starting with basic strategy and moving to a more advanced one, with educational purposes only in zero-sum game.

Build an automated trading bot by connecting to a trading platform like MetaTrader 5, retrieving real-time and historical market data, applying your strategy, managing risk, and executing trades.

Enable algorithmic trading on MetaTrader5 by checking the algo trading button; green with an arrow means enabled, red means disabled, so set it to green before running your Python bot.

Build a Bollinger Bands trading bot with MetaTrader 5 Python. It fetches 100 bars and outputs a dataframe with time, open, high, low, close, tick volume.

Extend the Bollinger Bands Trader class in Python by adding three functions to calculate Bollinger Bands, calculate investment, and place trade with MetaTrader five.

Finalize the Bollinger Bands trader bot by adding monitor position and run functions for automated trading with MetaTrader five, Bollinger Bands signals, and prompt-driven code generation.

Run the Bollinger Bands trader bot for forex trading with Python and MetaTrader 5, configuring account credentials, symbols, lot size, and risk settings like stop loss and take profit.

Discover a one prompt method to build an Ichimoku-based scalping bot from a customizable template, connect to MetaTrader 5, and tailor symbol, timeframe, take profit and stop loss.

Explore how a custom GPT trained on the MetaTrader five Python API generates a working Ichimoku scalper bot, including data fetching, indicator calculation, signal detection, and automated trading.

Run the ichimoku scalper bot on MT5, configure account number, password, server, symbol BTC USD, lot size, and take profit and stop loss, then monitor and close trades per strategy.

Explore an end-to-end Ichimoku forex bot on MT5 with Python and a ChatGPT framework, automating data fetch, signal generation, trades, and risk management, with skeleton code and strategy placeholders.

Generate a custom prompt-driven trading bot using a trend-following strategy with two exponential moving averages, crossovers and widening gaps, plus backtesting and journaling for risk management.

Build an automated forex scalper with Python and pandas, using MetaTrader five integration, short and long EMAs, EMA gap, and crossover signals to place and monitor trades.

Discover what a virtual private server is and how it keeps your trading bot running 24/7 with low latency, security, and reliable backups for algo trading.

Create an AWS account and launch an EC2 instance to run your forex trading bot, selecting Windows Server and configuring a key pair, security group, and RDP access.

Set up python 3.8, PyCharm, and MetaTrader 5 on a VPS to connect your broker and run the Ichimoku scalping bot with automatic trades.