Automated Trading for a Living: Smart Money Concepts & Machine Learning for Forex & Futures Traders, Made Easy (Smart Money Concepts Mechanical Trading Series)
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$28.99
Regular price $34.99
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Automated Trading for a Living: Smart Money Concepts & Machine Learning for Forex & Futures Traders, Made Easy (Smart Money Concepts Mechanical Trading Series)
Sale price
$28.99
Regular price $34.99
Your bot works. But it's stupid. It does exactly what you told it to do — never the smart thing it could be doing.
Every fair value gap, every order block, every killzone setup gets the same lot size and the same answer. Some of those setups should have been doubled. Some should have been skipped. Your bot can't tell the difference. Yet.
This is the upgrade. You'll bolt a machine-learning classifier onto the Book 4 bot — or any rule-based Python and MetaTrader 5 bot of your own. The model learns from your trade history, which setups are exceptional and which are average. The bot keeps the rules. The model adds the judgment.
Made easy, on purpose. No GPU. No cloud computing. No neural-network jargon. No computer-science PhD. Everything runs on a normal laptop or a cheap VPS.
This is an educational interpretation of Smart Money Concepts. It is not financial advice. Trading carries substantial risk.
The bot you built worked. The bot you finish here learns. That is the gap between profitable and professional. Close it.
Every fair value gap, every order block, every killzone setup gets the same lot size and the same answer. Some of those setups should have been doubled. Some should have been skipped. Your bot can't tell the difference. Yet.
This is the upgrade. You'll bolt a machine-learning classifier onto the Book 4 bot — or any rule-based Python and MetaTrader 5 bot of your own. The model learns from your trade history, which setups are exceptional and which are average. The bot keeps the rules. The model adds the judgment.
Made easy, on purpose. No GPU. No cloud computing. No neural-network jargon. No computer-science PhD. Everything runs on a normal laptop or a cheap VPS.
Inside the book:
- A feature engineer that turns SMC setups (FVGs, order blocks, killzones, multi-timeframe bias) into numbers a model can read
- A Random Forest classifier that grades every trade by probability of success
- Walk-forward validation that catches the lies a single backtest tells, and look-ahead-leakage checks
- Monte Carlo simulation that tells you what your worst plausible month looks like — before you go live
- Adaptive risk: position size that scales with model confidence, drawdown, and correlation across open positions
- A live-deployment stack: VPS, monitoring dashboard, alert tiers, heartbeat, and a kill switch
- A continuous-learning loop that retrains on schedule, runs shadow A/B tests, and catches model decay before it costs you
Who this is for:
- Traders who already have a working rule-based bot (Book 4 readers, or any Python + MetaTrader 5 builder) and want it to make smarter decisions instead of bigger ones.
- EURUSD / GBPUSD and index-futures operators — the worked examples run on these instruments, and the framework is instrument-agnostic.
- Self-taught coders who finished an intro Python book and now want to apply scikit-learn to something they actually care about.
- Funded and prop-firm operators who already passed a challenge and want a system that scales position size up and down by edge, not by emotion.
- Anyone who has been told they need a CS PhD to use ML in trading and doesn't believe it.
This is an educational interpretation of Smart Money Concepts. It is not financial advice. Trading carries substantial risk.
The bot you built worked. The bot you finish here learns. That is the gap between profitable and professional. Close it.