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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تولید کننده: Udemy