ML Predictions

New

Compare historical prediction accuracy across stocks using the latest model-evaluation results.

Stocks evaluated

4,968

Median accuracy

52.4%

Model snapshot

20260926_0

Prediction accuracy distribution

Number of stocks in each historical combined-accuracy range.

0-20%20-40%40-60%60-80%80-100%004,8181491

Current AI Rank vs Historical Accuracy

Each dot is a stock in the current top 500 AI ranking. Hover for details.

0150300450600Current AI rank0%25%50%75%100%

Prediction Accuracy Ranking

Daily ranking by Combined Accuracy from the latest model snapshot. Select any column header to sort.

Showing 25 of 4968
ⓘⓘⓘⓘⓘ
2306NVDANvidia CorpInformation Technology$5.40T52.6%52.3%50.3%54.9%
1416AAPLApple Inc.Information Technology$4.60T53.8%55.4%53.1%52.7%
4284GOOGLAlphabet Inc. Class A Capital StockCommunication Services$4.03T50.0%52.0%50.2%47.6%
4521GOOGAlphabet Inc. Class C Capital StockCommunication Services$4.03T49.5%48.0%49.6%50.9%
1600MSFTMicrosoft CorpInformation Technology$3.65T53.5%54.3%51.3%54.7%
4943AMZNAmazon.Com IncConsumer Discretionary$2.72T46.7%46.8%44.0%49.0%
1908TSMTaiwan Semiconductor Manufacturing Company LimitedInformation Technology$2.03T53.1%52.3%54.4%52.4%
1790AVGOBroadcom Inc.Information Technology$1.73T53.2%56.5%50.0%52.7%
4715METAMeta Platforms, Inc. Class ACommunication Services$1.67T48.8%47.8%50.8%47.6%
2279TSLATesla, Inc.Consumer Discretionary$1.45T52.6%54.4%51.9%51.4%
1114BRK.BBerkshire Hathaway Inc.Financials$1.08T54.3%56.7%56.8%48.7%
3086LLYEli Lilly & Co.Health Care$1.00T51.7%53.0%51.7%50.3%
1554JPMJPMorgan Chase & Co.Financials$942.9B53.5%53.8%54.6%52.3%
4649WMTWalmart Inc.Consumer Staples$839.6B49.1%51.7%48.4%46.8%
1420AMDAdvanced Micro DevicesInformation Technology$825.6B53.7%53.3%55.0%52.9%
2972VVISA Inc.Financials$693.6B51.9%50.7%52.1%52.8%
2995ASMLASML Holding N.V.Information Technology$677.9B51.8%54.4%49.6%51.2%
527XOMExxon Mobil CorporationEnergy$675.3B55.9%57.9%55.9%53.6%
3654JNJJohnson & JohnsonHealth Care$643.6B51.0%48.8%52.9%51.0%
1240INTCIntel CorpInformation Technology$561.6B54.1%55.5%53.0%53.7%
2377MAMastercard IncorporatedFinancials$500.1B52.5%53.3%54.4%49.5%
2824ORCLOracle CorpInformation Technology$465.6B52.0%51.4%56.0%48.0%
2819ABBVABBVIE INC.Health Care$439.6B52.0%54.3%51.7%49.8%
1553BACBank of America CorporationFinancials$438.2B53.5%52.7%53.3%54.6%
2862CSCOCisco Systems, Inc. (DE)Information Technology$431.4B52.0%55.2%48.2%51.9%
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How to use this page

  • •Start with Combined Accuracy for the quickest read on each stock's historical model track record.
  • •Use Current AI Rank vs Historical Accuracy to see whether today's leaders also have a stronger backtest record.
  • •Use search and market-cap filters to compare stocks in the universe relevant to you.
  • •Open a ticker after checking reliability to review its current score and supporting context.

Method summary

ML Predictions ranks stocks by historical backtest accuracy for the combined model and its three underlying algorithms. These results provide research context and do not guarantee future performance.

Data sources

Market/price data: Marketstack. Model outputs + aggregates: AI Stock Platform pipelines. News context: sources listed on the News page.

Related tools

Frequently asked questions

What does ML Predictions measure?

ML Predictions compares historical prediction accuracy by stock using the latest available model-evaluation snapshot.

What does Combined Accuracy mean?

Combined Accuracy summarizes the ensemble's historical prediction accuracy for a stock using the available underlying model results.

Is this a forecast or a guarantee?

No. Historical accuracy is context for research and does not guarantee that a current or future prediction will be correct.

How is ML Predictions different from Ranked?

Ranked highlights current stock signals. ML Predictions looks backward at model accuracy so you can add reliability context to those signals.