| Management number | 238567585 | Release Date | 2026/07/11 | List Price | $32.00 | Model Number | 238567585 | ||
|---|---|---|---|---|---|---|---|---|---|
| Category | |||||||||
Learn how to use genetic optimization and algorithms along with AI to create predictive strategies for ETFs, Options, and Equites using TradeStation, Python, Machine Learning with RL and LSTM, TastyTrade, OptionOmega, and OptionAlpha. Learn what works, why it works and what to avoid. Sample strategies and analysis on why proper portfolio construction with diverse strategies creates a winning combination to create income and profit for the long term. Become a better trader by understanding the key components to profiting from your hedges, long/short positions, LEAPS, 0DTE options and modern theory on risk analysis and why you shouldn't listen to anyone telling you different. This is a comprehensive look at understanding the basics of trading all the way from a simple strategy design, genetic optimization, backtesting analysis, fine tooling with clustered walk-forward analysis and Monte Carlo simulations with a review of where AI with Anthropic, Grok, and others can help and where it can't. If you are searching for a way to trade profitably with a systematic approach without emotions with confidence that a model gives through nearly 30 years of data allowing you to focus on your life outside of your positions then start with chapter 1 and work through all 400 pages to arm yourself with 25 years of system design expertise.
| Book format | Paperback |
|---|---|
| Fiction/nonfiction | Non-Fiction |
| Genre | Business & Investing |
| Publication date | May, 2026 |
| Pages | 380 |
| Subgenre | Finance |
| Series title | No Series |
| Number in series | 0 |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Language | English |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 8.50 x 0.78 x 11.00 in |
| Assembled product weight | 1.94 lb |
| Bisac subject heading | Business & Economics |
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