Caribbean Digital Assets: CDA Academy – Inside Trading Bots & AI: How They Work and How to Judge Them
Learn how automated and AI trading systems really work, how they're tested, and how to tell an honest product from a scam.
Who it's for
Professionals, tech-minded learners, founders and anyone considering an automated or AI trading product who wants to understand it before trusting it.
You will understand
- How automated trading systems are built: data, signals, risk rules and execution
- How systems are tested (backtesting, paper trading) and why most results are misleading
- What AI and machine learning can and cannot do in markets
- How API keys, permissions and custody affect your safety
- How to evaluate any bot, signal group or AI trading product before trusting it
Weekly syllabus
| Week | Topic | What's covered | Class activity |
|---|---|---|---|
| 1 | Anatomy of a trading system | Data, signals, risk rules, execution, logging | Diagram a complete system |
| 2 | Data, exchanges and costs | Market data, exchange APIs, how fees and slippage change results | Compare fee impact across exchanges (instructor demo) |
| 3 | How systems are tested | Backtesting, look-ahead bias, unrealistic assumptions | Instructor demo of an honest vs a misleading backtest |
| 4 | Overfitting and fake results | Why "perfect" results are a warning sign; out-of-sample and walk-forward testing | Case studies of results that collapsed in real markets |
| 5 | Safety by design | Risk limits, kill switches, API key permissions, keeping keys and funds under your control | Review the safety features a product should have |
| 6 | AI and machine learning in markets | Pattern detection, news sentiment, the limits of AI, why language models should not place trades | Explore how AI scores news (instructor demo) |
| 7 | Paper trading and transparency | Demo testing, logging, honest reporting, what real performance disclosure looks like | Review sample performance reports |
| 8 | Evaluating products | Due diligence checklist, red flags, questions to ask any vendor; CDA Engine design as a case study (education, not a sales pitch) | Present an evaluation of a real product |
Included
24 live hours · 8 office hours · recordings · workbook · product evaluation checklist · private student group · certificate of completion
Final deliverable
A due-diligence evaluation of an automated or AI trading product
DisclaimerCDA Academy provides general education only. It does not teach you how to trade and is not investment, financial, legal or tax advice. We do not provide trading signals or individual buy or sell recommendations, and we make no promises of profit or income. Trading involves risk, including the loss of money. Any decisions you make are your own.