#backtesting overfitting
6 related articles
Kronos Financial Foundation Model: Usi…
·7 min
Kronos Financial Foundation Model: Using AI to Read the Market Language of Candlesticks
Kronos is the first open-source foundation model treating candlestick data as the "language of financial markets," using an autoregressive Transformer and earning 32K GitHub Stars. A deep dive into its principles, applications, and limits.
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·4 min
Can AI Discover Alpha? A Deep Dive into Qlib and RD-Agent
Can AI truly discover Alpha automatically? This deep dive into Microsoft's open-source Qlib and RD-Agent reveals the 3 critical backtest pitfalls and 6 overfitting prevention gates every quant researcher needs to know.
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·2 min
The Technical Reality of Sports Betting Prediction Models: How Developers Should Rationally Evaluate Collaboration Opportunities
Starting from an MLB betting model job post on Reddit, this article examines the technical feasibility of sports betting prediction models, the statistical bar for a genuine edge, and the risks developers must understand before joining such projects.
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·6 min
AI Superforecasters: Can Machines Surpass Human Experts at Prediction?
Have AI superforecasters truly arrived? A deep dive into how LLMs challenge human superforecasters in probability calibration, information integration, and scalable forecasting, plus core debates on data leakage, interpretability, and real-world applications.
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·4 min
5 Viable Paths to Making Money Independently with Python
5 proven paths to making money independently with Python: automation scripts, AI app development, quantitative trading, tool/course sales, and full-stack web services, with pricing references and practical tips.
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Tutorials·4 min
AI Trading Bot Battle Royale: Natural Selection Among 15 Agents to Find the Most Profitable
15 AI trading Bots each holding $1,000 compete live on Hyperliquid, with natural selection eliminating losers. Reveals real win rates, optimal strategies, and key risks of AI autonomous trading.
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