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Design, Backtest and Run your Binance Trading Bot on GCP

سرفصل های دوره

Create a trading strategy using Binance API and Python. Backtest and run it 24/7 on Google Cloud Platform


1 - Introduction
  • 1 -Introduction Sections and Contents

  • 2 - Basics
  • 1 -Binance API Credentials
  • 2 -Creating Local Environment Using Docker
  • 3 -Extraction of Historical Prices
  • 4 -Data Preprocessing
  • 5 -Filters for BTCUSDT
  • 6 -Types of Orders
  • 7 -Getting Order Id and Order Status
  • 8 -Executing Market Order and OCO Order
  • 9 -Bollinger Bands Review
  • 10 -Bollinger Bands Plot
  • 11 -RSI Review
  • 12 -RSI Plot
  • 13 -Engulfing Pattern Review
  • 14 -Engulfing Pattern Plot

  • 3 - Defining and Visualizing the Trading Strategy
  • 1 -Describing the Strategy
  • 2 -Programming the Buy Signal
  • 3 -Plotting Simultaneously Bollinger Bands
  • 4 -Plotting Simultaneously Vertical Lines
  • 5 -Plotting Simultaneously RSI
  • 6 -Plotting Simultaneously Engulfing Pattern
  • 7 -Defining Stoploss and Takeprofit
  • 8 -A Couple Examples of Winning Losing Trades

  • 4 - Backtesting the Trading Strategy on Google Compute Engine
  • 1 -Dockerfile and Requirements
  • 2 -Libraries and Authentication
  • 3 -Functions for Technical Indicators
  • 4 -Main Function An overview of the Steps
  • 5 -Main Function Setting Global Variables
  • 6 -Main Function Defining Entry Price, Stoploss Price and Takeprofit Price
  • 7 -Main Function When Stoploss and Takeprofit Are Achieved
  • 8 -Main Function Which One Happened First
  • 9 -Repeating Several Steps (Basics Section)
  • 10 -Looping the Main Function
  • 11 -Creating Column Fee
  • 12 -Creating Column Is Open
  • 13 -Saving Results to BigQuery
  • 14 -Fixing Typos of Script
  • 15 -Build Container of Backtesting Script
  • 16 -Push Container to Artifact Registry
  • 17 -Run On Google Compute Instance
  • 18 -Resizing the Instance
  • 19 -Verifying Backtesting Results

  • 5 - Building and Running the Trading Bot on Google Compute Engine
  • 1 -Dockerfile and Requirements
  • 2 -Class TradingBot Init Function
  • 3 -Class TradingBot Functions for Technical Indicators
  • 4 -Class TradingBot Function for Preprocessing
  • 5 -Class TradingBot Function to Build Columns
  • 6 -Class TradingBot Function to Set Entry Price, Takeprofit and Stoploss
  • 7 -Class TradingBot Function to Create Order
  • 8 -Class TradingBot Function to Create OCO Order
  • 9 -Class TradingBot Function to Cancel Order
  • 10 -Class TradingBot Function to Update Order Status
  • 11 -Class TradingBot Function to Update OCO Order Status
  • 12 -Class Run Function Calling Functions for Preprocessing, Building and Status
  • 13 -Class Run Function Defining Conditions to Enter Trade
  • 14 -Class Run Functions Cases for Status of Order
  • 15 -Class Run Function Calling Function to Create OCO Order
  • 16 -Class Run Function Case No Signal
  • 17 -Running the Class Every Minute
  • 18 -Fixing Typos
  • 19 -Build Container for Trading Bot
  • 20 -Push Container to Artifact Registry
  • 21 -Create Instance on Compute Engine
  • 22 -Running on Local Machine
  • 23 -Results After Running Trading Bot

  • 6 - Appendix
  • 1 -Install Notepad
  • 2 -Install SDK
  • 3 -Install Docker
  • 4 -Enable Compute Engine, Artifact Registry and BigQuery
  • 5 -Create Json Service Account
  • 6 -Connection Python to BigQuery
  • 7 -SDK Permisisons for Gmail and Docker
  • 8 -SDK Permission for Artifact Registry
  • 9 -SDK Permission for Repository in Artifact Registry
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