Forex Algorithmic Trading with Python : Build a DCA Bot

Learn how to declare variables, follow naming rules, and work with Python's basic data types—strings, integers, floats, and booleans—plus type conversion and multi-variable assignment.

Learn to write and read dataframe columns using square bracket indexing, iterate columns such as name and age with for loops, and print column values.

Learn to install MetaTrader 5, enable algorithmic trading via expert advisors, and set up a zero-commission demo account with a $5,000 initial deposit.

Learn how the bid, ask, and spread determine forex prices, with buying at the ask and selling at the bid.

Learn essential forex terminology, including pips, lots, margin, and leverage, with practical examples of how price moves and position sizes affect trading in forex algorithmic trading with Python.

Compute eur/usd profit per one lot (100,000 units) by subtracting the previous value from the current value, yielding 10 USD per lot, and convert pip moves to dollar value.

Explore forex order types in metatrader: market orders, executed instantly at the broker price, and pending orders—stop and limit orders placed above or below the current price.

Builds a DCA bot strategy by setting a buy direction, targeting 2% profit, and placing market orders as safety orders at 1% and 2% pullbacks to close when target hits.

Explains how to calculate deviation between current and initial price using a formula with leverage, includes buy and sell directions and coding a deviation function.

Build a dollar-cost averaging forex trading bot in Python, using safety orders, escalating volumes, price deviation levels, and a while loop to reach a profit target.

Explore placing buy limit and sell limit orders using Python by passing symbol, volume, and price in a dictionary, with practical examples for currency pairs like GBP USD.

Place market orders in a forex trading bot by specifying symbol and volume, setting order direction, and executing a 0.05 lot market order for GBPUSD using the market order function.

Discover how to retrieve current position details using the score gait method in the file library, including open price, volume, profits, and current price, with Python, pandas, and symbol filtering.

Learn to calculate forex margin with a Python function that uses type, symbol, volume, and open price, and sum margins across positions.

Define symbol and volume, set the profit target, and configure the number of safety orders; place market orders, monitor open positions, and loop until the profit target is reached.

Import the class, create a GBP USD object with 0 USD, 0.01 lots, 2% profit target, four safety orders, and buy direction; then run objects using thread and start them.