Micro Bitcoin Futures Bot Course: Python, Rithmic & Code Review

Study the engineering behind Micro Bitcoin futures bots

A self-paced educational package for Python developers and algorithmic-trading learners who want to understand environment setup, Rithmic connectivity, event-driven strategy logic, and the risks hidden inside trading-bot code. Follow a structured path from your Debian workspace to two detailed bot case studies.

Course roadmap

1. Module 1: Debian development environment — Set up Python, pip, a project-specific virtual environment, and Visual Studio Code. Verify the interpreter and run a local installation test. Listed video duration: 11 minutes. Checkpoint: confirm the project imports its dependencies without connecting or submitting orders.
2. Module 2: Rithmic setup and connectivity — Study configuration parameters, test versus paper versus production environments, asynchronous connection handling, and the conformance-testing workflow. Listed video duration: 7 minutes. Checkpoint: document the intended environment and connection prerequisites before any execution test.
3. Module 3: Multi-timeframe bot case study — Review bar_mbt_long_20260914_194807_gen2_new.py, its 30-minute signal and 5-minute execution design, EMA/RSI/ATR calculations, warmup logic, fill handling, and drawdown tracking. Listed video duration: 12 minutes. Exercise: identify the syntax, bar-storage, and risk-tracking defects described in the guide.
4. Module 4: Strategy direction and execution audit — Review bar_mbt_long_20260918_013013_new.py, its 5-minute signal and 1-minute execution design, short-direction behavior despite its filename, synthetic brackets, state synchronization, and realized-PnL limitations. Listed video duration: 9 minutes. Exercise: prepare a remediation checklist for simulated testing.

Package materials

The package inventory in the accompanying document lists four videos totaling approximately 39 minutes, two Python bot case-study files, and a 125-page technical PDF covering setup, infrastructure, conformance testing, code analysis, and remediation. The PDF serves as the written study guide alongside the four core lessons.

What you will learn

• Organize an isolated Python development workspace on Debian 13.
• Understand Rithmic connection configuration and asynchronous event handling.
• Trace multi-timeframe signals, indicator calculations, and execution state.
• Recognize broken warmup gates, assumed fills, expired-contract fallbacks, and incomplete PnL accounting.
• Distinguish software correctness from strategy profitability and plan risk-focused simulated tests.

Prerequisites and scope

Basic Python and command-line familiarity are recommended. Connection exercises require appropriate third-party account access and permissions. This package does not supply a brokerage account, trading capital, market-data subscription, or third-party access fees.

Important research warning

This is educational code-study material, not a turnkey or verified live-trading system. The supplied document reports significant defects and adverse backtest results in its bot case studies. Its analyses and proposed fixes have not been independently validated here. Do not deploy the examples as-is with live capital. Use isolated test or paper environments for learning; simulated results do not establish live profitability. Futures trading involves substantial risk. No returns, win rate, execution latency, or production readiness are guaranteed. Educational content only, not financial advice.