Build AI FOREX Trading Bots for CRYPTOCURRENY in 3Hours 2023

Install Python and set up PyCharm to begin coding. Learn to download Python 3.11, add Python to the path, install PyCharm community edition, and start a new project.

Learn how to use the print function, print variables, combine strings with statements, and format output using f-strings and the format method to display personalized messages.

Learn how to name and assign variables in Python, follow rules for valid identifiers, and work with strings, integers, floats, and booleans, including type conversion and multi-variable assignment.

Master arithmetic, comparison, boolean, and assignment operators in Python, covering addition, subtraction, multiplication, division (float vs integer), modulus, power, and true–false evaluation examples.

Learn how to define and use Python functions, pass arguments, return values, and reuse code with examples like greet, square, and mean.

Differentiate local and global variables in Python, show how to access and modify globals inside functions with the global keyword, and reveal scope errors.

Explore how to create and manipulate lists to store multiple values, index items with positive and negative indices, and use slicing, append, insert, remove, and extend.

Explore how to create and manipulate dictionaries in Python, including key-value pairs, accessing keys and values, and updating or removing entries in PyCharm.

Learn how to use if statements to execute code blocks when conditions are true and else statements for false conditions in Python, with practical print examples.

Explore while loops and their syntax, then master break and continue statements with Python examples that show how conditions control iteration.

Master for loops to run code blocks a set number of times, iterate lists, ranges, and dictionaries, and print items using keys and values, with examples in PyCharm.

Learn how to define a Python class as a blueprint for objects, create instances with color, brand, and model properties, and implement methods like get values, drive, and stop.

Explore the Pandas library to analyze data by creating and using Pandas series, a 1D data structure with indexes and values, including custom indexes and selection by index.

Learn how pandas dataframes serve as a 2d table with rows, columns, and an index. Create dataframes from dictionaries, and select specific values by column and row using df['column'][row].

Learn to select a specific column in a dataframe using dot notation, single brackets, or double brackets to return a pandas series or dataframe, and select rows with loc.

Learn to select rows in a data frame by column values using df.loc and a condition, such as age greater than 20, and print the corresponding name column.

Learn to iterate columns in a data frame with a for loop, accessing columns such as name and age, and print the column names.

Install MetaTrader 5, set up a zero-commission demo trading account, and enable algorithmic trading to work with Markets demo and a $5,000 initial balance.

Learn base and quote currencies and the three forex pair types—major, minor (cross), and exotic—and why major currency pairs are the most liquid and traded.

Explain the bid, ask, and spread by showing how buying above the current price uses the ask, selling below uses the bid, and the spread equals the difference.

Explore essential forex terminology, including pips, lots and micro lots, margin, and leverage, with examples that illustrate order sizing and risk in euro-dollar and yen pairs.

Compute margin, profit, and loss for a 0.01 lot euro buy order using ask and bid prices, determine per-lot value from 100,000 euro, and apply 100x leverage in USD.

Compute margin for 0.01 lots of USD/JPY with 100x leverage, then calculate profit and loss in USD using current bid/ask prices and 100,000 USD per lot.

Learn to compute euro/usd profit from a one-pip move using a 100,000 lot, then scale to 1, 0.1, and 0.01 lots yielding 10 USD, 1 USD, and 0.16 USD.

learn how forex order types work, including market orders that execute instantly at the broker price, and pending orders like stop and limit orders that trigger at specified prices.

Learn how dollar cost averaging works through a pineapple investing example, comparing two buyers and showing how different purchase timing affects cost and profit, then apply this approach to trading.

This lecture outlines a buying strategy for forex trading, placing buys at 1%, 3%, and 7% pullbacks with increasing lot sizes to lower the average price and sell above it.

Execute a tiered selling strategy using levels from 1% away from the current price to 7% away, increasing sell size and buying below the average price to take profit.

Set a direction and a 2% profit target, place market buy orders with escalating safety orders at 0.01, 0.02, and 0.04 lots, then close at target and loop.

Calculate deviation using the formula (current price - initial price) / initial price times 100 times leverage, and apply it to buy and sell orders to guide forex trading bot.

Demonstrates building a forex crypto trading bot strategy with pseudo code, defining symbol, 0.01 lot volume, 2% target, safety orders, and price levels at 1, 3, 7, 15, 31 percent.

Install the metatrader five library for Python, import mt5, initialize with login, server, and password, and establish a connection to your trading account.

Learn to place buy and sell limit orders with python by passing order details as a dictionary, including symbol, volume, price, and type; create functions for buy and sell limits.

Place market orders by symbol and volume, then choose buy or sell. Demonstrates EURUSD and GBPUSD trades at 0.05 lots with buy and sell directions.

Learn to retrieve current position details with the Mt5 library's score gate method, filter by symbol, and display open price, volume, profits, and current price in pandas.

Create a function to calculate total profit by passing a symbol, summing the column, converting to float, and returning profit for gbp usd and eur usd.

Calculate total profit and volume part 2 by filtering a type column (0 for biodiesel, 1 for sell orders) and implementing functions to compute buy and sell profits with examples.

Calculate the margin with the calc margin function by passing type, symbol, volume, and open price. For buy positions, compute each margin, sum them, and return the total.

Implement a function to calculate percentage profit by dividing total profit by total margin and multiplying by 100, using by margin and sell margin to compute the total margin.

Learn to close all positions with a close position function using symbol and position parameters, including a for loop to close euro and gbp positions.