LEARN · AI INVESTING, IN PLAIN ENGLISH
THE CONCEPTS BEHIND THE BOOKS
Straight answers to the questions behind Tickr's live AI-funds experiment — what an AI hedge fund actually is, whether AI can beat the market, how quant signals work, and more. No hype, no jargon.
- What is an AI hedge fund?An AI hedge fund is an investment strategy where an artificial-intelligence system, rather than a human manager, makes the buy-and-sell decisions. The AI reads market data, financials and signals, then chooses positions. Most public examples today are simulated or research portfolios rather than funds managing outside money.
- Can AI beat the stock market?There is no conclusive evidence that AI systematically beats the stock market over long periods. AI can process information faster than humans and spot patterns, but markets are highly efficient and competitive, so durable edges are rare and hard to keep. Short-term outperformance happens but is difficult to separate from luck.
- Can ChatGPT or other LLMs pick stocks?Large language models like ChatGPT, Claude and Grok can read financial data and produce reasoned buy-or-sell opinions, but they have no built-in market edge. They can hallucinate, work from outdated training data, and sound confident while being wrong. Any real usefulness depends heavily on the data and constraints they are given.
- What is an AI portfolio manager?An AI portfolio manager is a system that decides what a portfolio buys, sells and holds without a human making the final call. It reads a research brief, weighs it against the current holdings and risk rules, then issues orders. A human typically builds the system and enforces limits but does not override individual decisions.
- What is paper trading?Paper trading is simulated investing: you place trades with fake money at real market prices and track the results, without risking capital. It is used to test a strategy, learn how markets work, or demonstrate a track record. The prices and rules are real, so the performance is meaningful — only the money is not.
- What are quantitative trading signals?Quantitative (quant) trading signals are rules-based, data-driven indicators that flag stocks likely to outperform or underperform. They are derived from measurable inputs — price momentum, valuation, fundamentals, insider activity — and validated statistically. A signal is an edge only if it holds up out-of-sample, on data it was not built on.
- What does "beating the S&P 500" mean?Beating the S&P 500 means earning a higher total return than the index over the same period. The S&P 500 tracks about 500 large U.S. companies and is the standard benchmark for U.S. stock performance. Most active investors and funds fail to beat it consistently after fees, which is why it is a demanding bar.
- Does insider buying predict stock returns?Insider buying — when a company’s own executives or directors purchase its stock — has historically shown modest predictive power, especially cluster buys by multiple insiders. Because insiders know their business well, open-market purchases can signal confidence. The effect is real but noisy, and it is one input among many, not a standalone buy signal.
SEE THE THEORY PUT TO A LIVE TEST.
Tickr runs three AI models — Claude, GPT and Grok — as real paper portfolios, tracked daily against the S&P 500. Every trade and its reasoning is public.