Binance Futures Trading with Python | Build a Market Maker

Install Python and set up the IDE, add Python to the path, and customize installation to begin your project, using a community version for a free setup.

Learn how to declare variables and assign values in Python, follow naming rules with letters and underscores, avoid starting digits, handle strings, integers, floats, booleans, multi-variable assignments, type conversion.

Master Python operators, including arithmetic, comparison, boolean, and assignment operators, with examples of addition, subtraction, multiplication, division, modulus, exponent, and integer division using two slashes.

Master Python functions to define, call, and return values, pass arguments, and reuse code to solve problems, with examples like square, mean, and function calls.

Explore how Python handles local and global variables in the Binance futures trading context, use the global keyword, and learn how functions access and modify variables declared outside.

Explore Python lists syntax, positive and negative indexing, and slicing ranges, then learn to add, remove, and modify list elements with append, insert, pop, and extend.

Master dictionaries as ordered key-value stores, learn their syntax with curly braces, access keys and values, retrieve values by key, and add or remove entries using assignment, indexing, and pop.

Learn how to use if and else statements in Python to execute code blocks based on conditions, with true and false branches and practical printing examples.

Explore while loops in Python, including syntax, conditions, and indentation. See how break ends a loop, how continue skips an iteration, and manage loop flow with practical examples.

Explore Python for loops to execute code blocks a specified number of times, iterating over lists, ranges, and dictionaries, and printing items and values.

Demonstrates how to define a Python class and create objects with constructors, self, and properties like color, brand, and model, then shows methods to get details, drive, and stop.

Explore data analysis with pandas by creating a series and a data frame, understanding index and values, and selecting elements by custom or default indexes.

Explore how pandas data frames represent 2d tables with rows, columns, and indices, create a data frame from a dictionary, and select specific values using column and row indexing.

Learn to select specific columns and rows in a pandas DataFrame using dot notation or brackets, returning pandas series or DataFrame, and use .loc for index-based row selection.

Learn to filter pandas dataframes by column conditions with df.loc and boolean indexing, selecting rows by thresholds and printing the name column values.

Learn how to write and read columns in a dataframe by iterating a column using dot notation with square bracket indexing, and print values like names and ages.

Apply a market making strategy for Binance futures by placing buy and sell limit orders around the current price, managing triggers and profit orders across varying market conditions.

Create a Binance futures testnet account by registering with a temporary email, verifying the email, and logging in to access the initial $15,000 demo balance.

Install the python-binance and pandas libraries in a new Python project, then import the Binance client class and pandas to prepare for Binance futures trading.

Set up a Binance api connection with the api key and secret, create a client, fetch account balance, and convert the assets to a dataframe to display the usd balance.

Learn to place buy limit and sell limit orders on Binance futures using a create order method, specifying symbol, side, type, quantity, and price, with multi asset mode.

Close all pending Binance futures orders in real time with Python, convert open orders to a dataframe, cancel by symbol and order id, then test limit orders on the testnet.

Learn to close open orders in Binance futures trading with Python by building functions to place and close buy and sell limit orders, and verify closures.

Determine the direction of current positions by using a data frame to compute signals and execute buy or sell market orders for long, short, or flat positions.

Import the request library and define a function that returns price for symbol from the Binance Testnet, using BTC USD as the symbol and a loop to print live prices.

Develop a Python function to place a grid of limit orders around the current price, using a PCT change progression, decimal places handling, and adjustable gaps between orders.

Create a function to calculate the take profit level with a 5% margin. Compute margin and profit from futures positions, and return the target price and total position amount.

Create a take-profit order function that passes symbol, price, and amount to place a limit order for long or short directions, with try/except and recursion to retry on errors.

Assemble the market maker with a continuous loop that checks open futures orders, converts results to dataframe, handles triggers, and closes positions based on long or short direction via try-except.

Develop a Binance futures market maker by calculating take profit price and amount, deleting old take profit orders, and placing new ones based on direction.

Close all remaining orders when there are no open questions, copy this part, and end the rollup by closing orders in the parentheses before proceeding.

Assemble the market maker by switching to market price, creating a get market price function, flooring the value, and returning the price for a given symbol.

Practice live trading on a demo account to test a trading bot in Binance futures using Python, noting initial balance, time-based balance changes, and eventual profit after closing orders.

Create a Python class from functions by defining a constructor, assigning values with self, and moving functions into class methods for a trading bot.

Develop a bot class by adding a run diff function, running with self in parentheses, implementing the wild loop, and adding a sales keyword to complete the class.

Import the board class and the trade class to enable multiprocessing. Create a board object with BTC USD, decimals 1, volume 0.01, proportion 0.04, and profit 5%.

The lecture demonstrates live testing of an upgraded market-making bot, emphasizing that the strategy works in ranging markets, not trending ones, while trading Bitcoin and Etherium in parallel.

Instructions to build a market maker for Binance futures trading with Python, instructions to build a market maker for Binance futures trading with Python.