What models can and cannot do with markets, with the marketing removed.
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AI & machine learningAI Trading: What Is Real, What Is Marketing, What Still Cannot Be DoneWhere machine learning genuinely works in markets, why predicting price direction is the hardest application of all, and how to read the words on an AI sales page.
AI & machine learningHow to Trade With AI: The Four Jobs It Is Actually Good AtThe practical version: putting a language model to work on learning, code, your trade journal and your checklists, without letting it near your order entry.
AI & machine learningHow Hedge Funds Actually Use Machine Learning (Not What the Ads Say)Hedge funds use machine learning for execution, risk and data research, not price prediction. What that takes, and why the retail AI bot rarely holds up.
AI & machine learningNeural networks for price prediction: why they overfit so easilyNeural network trading models fit price history almost perfectly and predict the next week badly. Why non-stationarity, noise and data hunger break them.
AI & machine learningAI vs Rule-Based Trading Systems: Which Wins, and WhenAI vs rule-based trading, compared on interpretability, overfitting and debugging: when a black box wins, and when plain rules win.
AI & machine learningIs AI Trading a Scam? How to Tell the Real From the SoldIs AI trading a scam? Not always. Judge what you can verify: reproducible results, drawdown shown, an account size and period, and no guaranteed returns.
AI & machine learningSentiment Analysis Trading: Does It Actually Work?Sentiment analysis trading reads news, social media and positioning to gauge market mood. Here is why it is so noisy at retail, and where it has real use.
AI & machine learningAI trading signals: why most of them are noiseMost AI trading signals are noise: no verifiable edge, no reproducibility, and marketing built on survivorship. Here is what would make one actually useful.
AI & machine learningReinforcement learning in trading, in plain EnglishWhat reinforcement learning is, why it looks perfect for trading, and why it usually fails: non-stationary markets, reward hacking and overfitting to history.
AI & machine learningLLMs for trading: what ChatGPT can and cannot do with a chartWhat ChatGPT can and cannot do with a trading chart: it explains concepts and checks strategy code, yet it cannot predict prices, read live data, or trade.
AI & machine learningCan AI Predict the Stock Market? What the Research Actually SaysCan AI predict the stock market? The honest research answer is no, and here is why efficient markets, non-stationarity and overfitting defeat price prediction.
AI & machine learningWhat ChatGPT is actually useful for in trading, and what it should never touchA language model is a fine explainer, code assistant and note-taker. It is a terrible source of prices, signals and backtest figures. Where the line sits.
AI & machine learningMachine learning in trading: why the model that shines on your laptop dies liveNon-stationarity, low signal-to-noise, leakage, costs left out of the loss function: why ML models look brilliant in backtest and go flat in live trading.
AI & machine learningAI trading: what is real and what is just a sales pageWhat artificial intelligence actually does in markets, what gets sold as AI without being AI, and why a rule-based system you can audit beats a black box. Put a capital and a start date against the record of the three engines, priced at today's point values, and see what the discipline in these guides looks like in practice.