Moon Dev – Algo Trade Camp

Moon Dev – Algo Trade Camp is a practical algorithmic trading program focused on Python, automated trading, trading bot development, risk management, and backtesting.

The course follows a step-by-step approach, beginning with the fundamentals of algorithmic trading and Python before moving into automated orders, risk management, technical indicators, trading bots, backtesting, machine learning, and strategy development.

Moon Dev’s approach centers around the Research → Backtest → Implement (RBI) methodology, encouraging traders to research ideas, test strategies using historical data, and develop their own automated trading systems.

What You’ll Learn

Throughout the 15-day Algo Trade Camp, you’ll learn how to:

Understand the fundamentals of algorithmic trading
Use Python for automated trading
Set up an algorithmic trading environment
Code automated orders and trade execution
Build automated risk management systems
Code technical indicators for trading bots
Develop multiple automated trading bots
Backtest trading strategies using historical data
Explore machine learning in trading
Research, test, and develop trading strategies

The RBI Methodology

Moon Dev’s trading development process follows three core stages:

Research → Backtest → Implement

The idea is to develop and test trading ideas rather than simply relying on prebuilt signals or automated systems.

The process focuses on:

Researching trading ideas
Building algorithms and strategies
Backtesting ideas using historical data
Analyzing and improving the results
Implementing automated trading systems

Course Curriculum

Day 1 — Introduction to Algorithmic Trading & Python

Intro to algorithmic trading and how to code in Python for automated trading.

Day 2 — Setup, Packages, Code & Resources

Algo trading setup, packages, code and resource walkthrough.

Day 3 — Risk Management

Managing risk in automated trading.

Day 4 — Automated Orders

Coding algorithmic orders, including entering and exiting trades with an automated bot.

Day 5 — Automated Risk Management

Coding automated risk management systems designed to manage risk within trading bots.

Technical Indicators

Day 6 — SMA

Coding the SMA Indicator for use in automated trading.

Day 7 — RSI

Coding the RSI indicator for trading bots.

Day 8 — VWAP

Coding the VWAP Indicator for automated trading.

Day 9 — VWMA

Coding the VWMA indicator for automated trading.

Trading Bot Development

Day 10 — Bot 1

Coding an SMA + Orderbook Trading Bot with a video tutorial and code.

Day 11 — Bot 2

Coding a Breakout Trading Bot and going through the code.

Day 12 — Bot 3

The Engulfing Trading Bot with a code walkthrough.

Backtesting & Strategy Development

Day 13 — Backtesting + RBI System

Learn how to backtest a strategy using historical data before deploying it.

This section also introduces the RBI System — Research, Backtest, Implement.

Machine Learning in Trading

Day 14 — Machine Learning in Trading

An introduction to machine learning in trading.

Scaling & Finding Strategies

Day 15 — Scaling & Finding Strategies

Learn how to scale and find trading strategies.

Additional Training Included

DYDX Goblin Bot Event

A training session covering:

The DYDX “Goblin” trading algorithm
The algorithm’s code
Video training
Setting up algorithmic trading on DYDX

Funding Rate Algo Event

Covers:

A funding-rate trading algorithm
Backtesting code
Backtest results
Explanation of the strategy

Additional Moon Dev Resources

The included materials also contain resources related to Moon Dev’s broader algorithmic trading ecosystem.

Quant Elite Code

Resources associated with:

Algorithmic trading strategies
Backtests
Trading bots
Python source code

Solana Devs

Resources related to:

Solana development
Solana blockchain tools
Automated trading infrastructure
Crypto trading development

Moon Dev BOTS

A collection of algorithmic trading bot resources and code.

Who Is This Course For?

Moon Dev – Algo Trade Camp may be suitable for traders interested in learning more about:

Algorithmic trading
Python programming for trading
Automated trading systems
Trading bot development
Technical indicators
Strategy research
Backtesting
Machine learning in trading

The course starts with an introduction to algorithmic trading and Python before progressing into more practical topics such as automated orders, risk management, indicators, bots, and strategy development.

About Moon Dev

Moon Dev is an algorithmic trader, developer, educator, and YouTube creator focused on automated trading systems.

His approach emphasizes building systems and automation rather than relying entirely on emotional manual trading.

His work focuses on areas including:

Researching trading ideas
Building algorithms
Coding trading bots
Backtesting strategies
Improving existing systems
Using AI to accelerate development
Deploying automated systems