The Complete Foundation Binance Algorithmic Trading Course

Install Python and download the community version of the ide, add Python to the path, create a new project, and prepare for Python basics.

Explore how the print function outputs literals and variables, build statements like hello, john and you are 23 years old, and format strings with curly braces and the format function.

Master variables by learning name rules, assignment syntax, and value storage in Python. Explore data types—string, integer, float, boolean—along with type conversion and simultaneous multiple assignment.

Master Python operators, including arithmetic, comparison, boolean, and assignment operators, with examples of addition, subtraction, division, modulus, and power.

Learn to define and use Python functions to break problems into smaller parts, pass arguments, and return results with practical examples of function calls and arithmetic operations.

Explore how local and global variables work in Python, how the global keyword controls access outside a function, and how function scope affects visibility and modification of values.

Learn to create and manipulate lists using square brackets, positive and negative indexing, slicing, and list methods such as append, insert, remove, pop, and extend.

Explore how if and else statements control Python code execution by evaluating conditions and running blocks of code when true or false, with practical print examples.

Explore while loops in Python, using break and continue statements to control iterations, terminate loops, skip steps, and safely handle division by zero.

Explore for loops to run code blocks a set number of times, using sequences, range, and dictionaries; iterate over lists, access items, keys, and values.

Explore Python classes and objects by defining a class with color, brand, and model, using a constructor and self, creating instances, and calling methods such as get_details, drive, and stop.

Explore pandas series, a 1d data structure for data analysis, create a series from a Python list, print it, and access elements by index or with custom indexes.

Learn pandas data frames as a 2D table with rows, columns, and an index. Create a DataFrame from a dictionary, print it, and select a specific value with df['column'][row].

Learn how to select specific columns and rows in a dataframe using pandas, using dot and bracket notation to return a series or a dataframe and handle multiple rows.

Learn to select dataframe rows by column values using conditions in square brackets and df.loc, filtering by age or marks and printing the corresponding names.

Learn how to write and iterate columns in a dataframe, using for loops and square bracket access to read name and age columns, and print their values.

Create a Binance spot testnet account by logging in with GitHub, authorize Binance exchange, generate an API key and secret, and connect the account to Python for paper trading.

Connect Python to Binance testnet by installing the python-binance library and pandas, importing the client class, supplying your API key and API secret, and creating a testnet client.

Retrieve the Binance account balance with Python by calling the client get account method, create a function to fetch balances, and display the crypto balances in a data frame.

Create a function to fetch the current value of a currency pair using a symbol ticker, save it as price, print the Bitcoin price BTC USD, and isolate the price.

Learn to place market orders using the create order client with symbol, side, and quantity, then execute buy and sell of 0.001 bitcoins and check balances.

Create a function to get the current highest bid price by passing the symbol, extract the highest price from the order book, return the bid, and print the result.

Develop a function to fetch the current lowest ask price and compare it with the bid price to reveal the spread in BTC USD, aligning with algorithmic trading concepts.

Learn to place buy and sell limit orders on Binance using a client create order method, detailing symbol, quantity, and price for BTC USD with practical function examples.

Create a function to fetch open order details, convert the output into a pandas dataframe, and call it with symbol BTC USD to display four orders placed previously.

Build a function to close open limit orders on Binance by checking for open orders, canceling each with the symbol and order id, and printing the response.

Create a sma crossover signal generator that fetches historical data, converts closes to numeric, computes short and long moving averages, and returns a BTC USD signal.

Install and import a technical analysis library to calculate the rsi indicator in a Python environment, showing how to add the package via the Python interpreter and import it.

Build an RSI indicator with a 14-period window, compute the RSI series from close prices, extract the last value, and print it for a given symbol and interval.

Convert the rsi value to a plot value, apply 70 and 30 thresholds to generate a signal, and print the result. Explore creating custom rsi signals and observe the output.

Calculate the MACD indicator by creating an MACD object, configuring the close column with 26 and 9, and printing the MACD and signal series to read final values.

Calculate the signal by comparing the measured value to the measured signal value, create a signal variable, print it, and run to see the generated signals.

Calculate the bollinger band indicator by creating a bollinger object, setting deviation to two, computing the band series, and printing the low and middle bands' indexed floor value.

Calculate Bollinger band signals by fetching the current price, converting it to a float, and comparing it to the low band to determine the action.

Copy and implement Bollinger Band calculations, create a Bollinger object, configure period and deviation, compute low, middle, and band series, and print the index after converting to floor values.

calculate the bollinger band signal by retrieving the current price, converting it to a float, and comparing it to the low band to generate signals.