[Experiment] "AI Stock Price Prediction" with a 56% Accuracy Rate Was Actually Just Coin Flipping — 4 Checks to Verify If Predictions Are Truly Accurate (Python, Dumm…

When you hear "AI stock price prediction with 56% accuracy," it sounds impressive. However, when tested with dummy data, even ...

5 Traps You First Fall Into with AI Stock Prediction: When I Tested Next-Day Predictions with Synthetic Data, Lookahead Accuracy Hit 99.8% and Returns Collaps…

All figures in this article are simulation results based on synthetic data created in Python (daily returns for approximately ...
FinanceFeeds

Building a Price Prediction Model in Python: A Step-by-Step Guide Using Historical Data and Basic ML Libraries

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...
Sporting News

Prediction markets, explained: Event contracts, yes/no shares and how sports trading works

Before a user dives into the world of prediction markets, familiarity with the logistics of event contracts is essential. Prediction markets don't have a so-called "house" that dictates the lines; it ...
shattered.io

PAN-OS Firewalls: 5 Branches Hit by PHP2Shell [2026]

PHP2Shell plus CVE-2026-46300 roots PAN-OS firewalls on 5 branches. Timeline, the 25-server count, what attackers took, and a ...
GitHub

stock-analysis

AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex.
MarkTechPost

AI Paper Summary

Sakana AI’s TMLR paper introduces Multi-Layered Review, a 3-agent Claude-based reviewer, and a 1,164-error Contradiction Benchmark. MLR caught 73.43% of core-claim errors, versus 14.81% for the best ...