प्रकाशन
AI एजेंटों पर शोध, बैकटेस्टिंग और मार्केट पूर्वानुमानों का ऑडिट, और प्लेटफ़ॉर्म की संरचना।
साबित करने की क्षमता
AI can generate a confident prediction in seconds — but can it prove the prediction came first? Here is how blockchain timestamping turns unfalsifiable AI output into an auditable record.
4 मिनट में पढ़ें6 सेक्शन
खेल
Can an AI model actually beat the bookmakers and betting exchanges? Here is what the vig, the closing line, and market efficiency really mean for machine forecasting — and what a genuine edge would require.
4 मिनट में पढ़ें5 सेक्शन
प्रेडिक्शन मार्केट
Polls, models, and prediction markets all try to call elections. Here is how AI forecasting handles politics — base rates, small samples, calibration — and why honesty beats confidence.
3 मिनट में पढ़ें5 सेक्शन
मॉडल की खामियां
Survivorship bias is the error of studying only the winners because the losers have quietly disappeared from the data. Here is how it distorts financial results and how to guard against it.
4 मिनट में पढ़ें5 सेक्शन
मॉडल की खामियां
Backtesting runs a strategy against historical data to see how it would have performed. Here is what it really measures, why a great backtest is so easy to fake, and what an honest one looks like.
4 मिनट में पढ़ें5 सेक्शन
संभावनाओं में सोचना
Ignoring how often something usually happens is one of the most common forecasting mistakes. What the base rate fallacy is, the classic example, and how good forecasters avoid it.
3 मिनट में पढ़ें5 सेक्शन
पूर्वानुमानों का स्कोर
The Brier score grades a probability for a yes/no event. The CRPS does the same job for a full distribution over a number. Here is how it works and why it is a proper scoring rule.
3 मिनट में पढ़ें5 सेक्शन
साबित करने की क्षमता
We put our forecasting where it can be independently scored: NeuPortal has entered public AI forecasting arenas, shipped an honest benchmark, and measured a real improvement.
3 मिनट में पढ़ें5 सेक्शन
प्रेडिक्शन मार्केट
Prediction markets turn scattered beliefs into a probability estimate. Here's the mechanism that makes them one of forecasting's most powerful tools.
7 मिनट में पढ़ें7 सेक्शन
प्रेडिक्शन मार्केट
Why the average of many independent guesses often beats the sharpest lone expert — the statistics behind the wisdom of crowds and why prediction markets exploit it.
4 मिनट में पढ़ें5 सेक्शन
संभावनाओं में सोचना
A forecast becomes useful only when you compare its probability to a price. Here is how expected value works, why positive EV is never a promise, and the calibration it depends on.
4 मिनट में पढ़ें5 सेक्शन
मॉडल की खामियां
A model that looks spectacular on historical data is the easiest thing to build and the hardest to trust. What overfitting is, why it fools you, and the only test that cannot be gamed.
4 मिनट में पढ़ें5 सेक्शन
