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Ultimate Binance Trading Bot: Build & Deploy on GCP

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5:21:19

  • 1 -Introduction Sections and Contents.mp4
    06:33
  • 1 -Binance API Credentials.mp4
    04:02
  • 2 -Creating Local Environment Using Docker.mp4
    14:30
  • 3 -Extraction of Historical Prices.mp4
    06:54
  • 4 -Data Preprocessing.mp4
    04:32
  • 5 -Filters for BTCUSDT.mp4
    02:43
  • 6 -Types of Orders.mp4
    01:37
  • 7 -Getting Order Id and Order Status.mp4
    06:13
  • 8 -Executing Market Order and OCO Order.mp4
    10:30
  • 9 -Bollinger Bands Review.mp4
    05:26
  • 10 -Bollinger Bands Plot.mp4
    04:24
  • 11 -RSI Review.mp4
    03:37
  • 12 -RSI Plot.mp4
    03:40
  • 13 -Engulfing Pattern Review.mp4
    05:03
  • 14 -Engulfing Pattern Plot.mp4
    05:02
  • 1 -Describing the Strategy.mp4
    02:36
  • 2 -Programming the Buy Signal.mp4
    06:36
  • 3 -Plotting Simultaneously Bollinger Bands.mp4
    06:09
  • 4 -Plotting Simultaneously Vertical Lines.mp4
    04:13
  • 5 -Plotting Simultaneously RSI.mp4
    03:11
  • 6 -Plotting Simultaneously Engulfing Pattern.mp4
    03:52
  • 7 -Defining Stoploss and Takeprofit.mp4
    08:11
  • 8 -A Couple Examples of Winning Losing Trades.mp4
    05:33
  • 1 -Dockerfile and Requirements.mp4
    04:21
  • 2 -Libraries and Authentication.mp4
    04:24
  • 3 -Functions for Technical Indicators.mp4
    07:43
  • 4 -Main Function An overview of the Steps.mp4
    03:33
  • 5 -Main Function Setting Global Variables.mp4
    04:03
  • 6 -Main Function Defining Entry Price, Stoploss Price and Takeprofit Price.mp4
    01:55
  • 7 -Main Function When Stoploss and Takeprofit Are Achieved.mp4
    02:22
  • 8 -Main Function Which One Happened First.mp4
    05:32
  • 9 -Repeating Several Steps (Basics Section).mp4
    06:44
  • 10 -Looping the Main Function.mp4
    10:34
  • 11 -Creating Column Fee.mp4
    02:52
  • 12 -Creating Column Is Open.mp4
    04:27
  • 13 -Saving Results to BigQuery.mp4
    02:28
  • 14 -Fixing Typos of Script.mp4
    05:11
  • 15 -Build Container of Backtesting Script.mp4
    02:23
  • 16 -Push Container to Artifact Registry.mp4
    02:08
  • 17 -Run On Google Compute Instance.mp4
    04:09
  • 18 -Resizing the Instance.mp4
    03:11
  • 19 -Verifying Backtesting Results.mp4
    04:39
  • 1 -Dockerfile and Requirements.mp4
    02:09
  • 2 -Class TradingBot Init Function.mp4
    08:54
  • 3 -Class TradingBot Functions for Technical Indicators.mp4
    00:51
  • 4 -Class TradingBot Function for Preprocessing.mp4
    01:36
  • 5 -Class TradingBot Function to Build Columns.mp4
    02:38
  • 6 -Class TradingBot Function to Set Entry Price, Takeprofit and Stoploss.mp4
    06:27
  • 7 -Class TradingBot Function to Create Order.mp4
    03:46
  • 8 -Class TradingBot Function to Create OCO Order.mp4
    02:54
  • 9 -Class TradingBot Function to Cancel Order.mp4
    02:03
  • 10 -Class TradingBot Function to Update Order Status.mp4
    05:02
  • 11 -Class TradingBot Function to Update OCO Order Status.mp4
    06:59
  • 12 -Class Run Function Calling Functions for Preprocessing, Building and Status.mp4
    03:26
  • 13 -Class Run Function Defining Conditions to Enter Trade.mp4
    03:51
  • 14 -Class Run Functions Cases for Status of Order.mp4
    03:26
  • 15 -Class Run Function Calling Function to Create OCO Order.mp4
    04:12
  • 16 -Class Run Function Case No Signal.mp4
    02:31
  • 17 -Running the Class Every Minute.mp4
    01:23
  • 18 -Fixing Typos.mp4
    03:12
  • 19 -Build Container for Trading Bot.mp4
    01:29
  • 20 -Push Container to Artifact Registry.mp4
    01:46
  • 21 -Create Instance on Compute Engine.mp4
    03:46
  • 22 -Running on Local Machine.mp4
    01:31
  • 23 -Results After Running Trading Bot.mp4
    11:15
  • 1 -Install Notepad.mp4
    01:51
  • 2 -Install SDK.mp4
    02:36
  • 3 -Install Docker.mp4
    03:47
  • 4 -Enable Compute Engine, Artifact Registry and BigQuery.mp4
    02:30
  • 5 -Create Json Service Account.mp4
    02:19
  • 6 -Connection Python to BigQuery.mp4
    07:52
  • 7 -SDK Permisisons for Gmail and Docker.mp4
    01:30
  • 8 -SDK Permission for Artifact Registry.mp4
    02:31
  • 9 -SDK Permission for Repository in Artifact Registry.mp4
    03:30
  • More details


    Course Overview

    Learn to design, backtest, and deploy a cryptocurrency trading bot using Binance API and Python. This comprehensive course guides you through building a robust trading strategy, running backtests on Google Cloud, and automating trades 24/7.

    What You'll Learn

    • Execute Market and OCO Orders using Binance API
    • Combine technical indicators (Bollinger Bands, RSI, Engulfing Patterns) into a trading strategy
    • Deploy and run your bot continuously on Google Compute Engine

    Who This Is For

    • Python developers interested in algorithmic trading
    • Traders with basic programming skills
    • Crypto enthusiasts wanting to automate their strategies

    Key Benefits

    • Hands-on experience building a real trading bot
    • Learn to backtest strategies before risking capital
    • 24/7 automated trading without manual intervention

    Curriculum Highlights

    1. Binance API fundamentals and order execution
    2. Technical indicator integration and strategy design
    3. Google Cloud deployment and continuous operation
    Focused display
    • language english
    • Training sessions 74
    • duration 5:21:19
    • Release Date 2025/06/11