AI for Bot Trading and Backtesting → Orientation - 360 Academy

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Curriculum

26 Sections
114 Lessons
30 Weeks

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Orientation
1
- 1.1
  Orientation
Introduction to AI for Trading and Backtesting System
5
- 2.1
  Introduction AI for Trading
- 2.2
  Introduction AI for Backtesting
- 2.3
  Chat Based AI vs AI Coding
- 2.4
  How to combine multiple AI tools
- 2.5
  VSCode
Claude Code
4
- 3.1
  What is Claude Code
- 3.2
  Installation and Setting up Claude Code
- 3.3
  Using Claude Code with VS Code
- 3.4
  Mini Project with Claude Code
ChatGPT Codex
3
- 4.1
  What is Codex
- 4.2
  Installation and Setting up Codex
- 4.3
  Using Codex with VS Code
Gemini CLI
3
- 5.1
  What is Gemini CLI
- 5.2
  Installation and Setting up Gemini CLI
- 5.3
  Using Gemini CLI with VS Code
Obsidian
5
- 6.1
  What is Obsidian
- 6.2
  Obsidian Installation
- 6.3
  Obsidian Mapping
- 6.4
  Research note
- 6.5
  Trading System Knowledge Example
Product Requirement Document
4
- 7.1
  What is PRD
- 7.2
  How to create Good PRD
- 7.3
  Converting trading ideas into PRD
- 7.4
  PRD for AI-generated projects
API Connection
6
- 8.1
  What is API ?
- 8.2
  Cryptocurrency – Bitkub
- 8.3
  Cryptocurrency – Binance
- 8.4
  Thai Stock/TFEX
- 8.5
  Forex
- 8.6
  US Stock (IBKR)
Portfolio Connection
6
- 9.1
  Connect your portfolio
- 9.2
  Connect your Bitkub portfolio
- 9.3
  Connect your Binance portfolio
- 9.4
  Connect your Thai Stock/TFEX portfolio
- 9.5
  Connect your IBKR portfolio
- 9.6
  Connect your Forex portfolio
Market Data
5
- 10.1
  Retrieve the Data from Bitkub
- 10.2
  Retrieve the Data from Binance
- 10.3
  Retrieve the Data from Thai Stock/TFEX
- 10.4
  Retrieve the Data from Forex
- 10.5
  Retrieve the Data from IBKR
Order Management System
5
- 11.1
  Limit Order and Market Order Bitkub
- 11.2
  Limit Order and Market Order Binance
- 11.3
  Limit Order and Market Order Thai Stock/TFEX
- 11.4
  Limit Order and Market Order Forex
- 11.5
  Limit Order and Market Order IBKR
Bot Trading Execution
7
- 12.1
  Bot trading workflow
- 12.2
  Build your own bot trading with AI
- 12.3
  Bitkub Bot
- 12.4
  Binance Bot
- 12.5
  Thai Stock/TFEX
- 12.6
  Forex
- 12.7
  IBKR
Monitoring Dashboard
3
- 13.1
  Portfolio Dashboard (Performance, Benchmark, Risk Metrics)
- 13.2
  Position/Order (Open Position, Pending, Transaction, Realize, Unrealized)
- 13.3
  Bot Execution Monitoring (Bot Status, API Connection Status, Data Status)
Database
7
- 14.1
  What is database
- 14.2
  SQL / NoSQL
- 14.3
  Time Series Database
- 14.4
  PostgresSQL
- 14.5
  Database Creation
- 14.6
  Store Trading Data (Market Data, Orders, Positions, Log)
- 14.7
  Database Connection
Backtesting Workflow
5
- 15.1
  What is Backtesting
- 15.2
  Historical Data Retrieval
- 15.3
  Strategy Backtesting
- 15.4
  Backtesting Metrics
- 15.5
  Trading Fee and Slippage
Backtesting System
5
- 16.1
  Backtesting Dashboard
- 16.2
  Metrics
- 16.3
  Strategy Visualization
- 16.4
  Equity Curve
- 16.5
  Backtesting Report
Docker for Trading Systems
4
- 17.1
  What is Docker
- 17.2
  Docker installation
- 17.3
  Docker file image & container
- 17.4
  Docker Basic
Cloud & Deployment for Trading Systems
6
- 18.1
  Local vs Cloud
- 18.2
  Cloud Provider
- 18.3
  Cloud and VPS
- 18.4
  Server Environments and Setup
- 18.5
  SSH
- 18.6
  Basic Linux for trading systems
Deploy Bot Trading 24/7
5
- 19.1
  Deploying trading bot with Docker
- 19.2
  Deploy trading system to cloud
- 19.3
  Logging and Monitoring
- 19.4
  Running bots 24/7
- 19.5
  Real-time dashboard
Brief of Algorithmic Trading
8
- 20.1
  The History of Algorithmic Trading
- 20.2
  Two Sides of the Industry
- 20.3
  Orderbook and Microstructure
- 20.4
  Trader Types by Time Horizon
- 20.5
  Order Validity and Order Types
- 20.6
  Exits
- 20.7
  Reality Check
- 20.8
  TH Local vs Global
System Overview and Architech
3
- 21.1
  The Machine
- 21.2
  The Components
- 21.3
  Design for Reality
Module Development and ETL
3
- 22.1
  Understanding Module Testing
- 22.2
  Define the contract
- 22.3
  Let AI write the tests
Backtesting Methodology and Performance Statistics
3
- 23.1
  The Proving Ground
- 23.2
  Bias Traps
- 23.3
  Judging the Result
Forwardward Testing, UAT and Progressive Scaling
3
- 24.1
  Get Ready
- 24.2
  Prove It Forward
- 24.3
  Scale In Safely
Thinking Engine,Numeric Correctness and Risk-Control Framework
3
- 25.1
  Building the Thinking Engine
- 25.2
  From Decision to Order
- 25.3
  Guardrails
A Walkthough with AI
2
- 26.1
  Backtesting with AI
- 26.2
  Forward Testing with AI

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