Monitoring the Alpha Jungle
Banks post price targets. Influencers post calls. AI models tell millions what to buy. We measure all of it against what actually happens - and publish every forecast with its source, date, and deadline, so the result can be checked later. Ours included.
Standard Chartered's ETH target. Each forecast shows its source, publication date, deadline, revisions, and final result when the deadline arrives.
Net score -1. Six readings with fixed thresholds: 2 confirm, 1 neutral, 3 break.
DVOL 37.0 vs trailing HV30 29.8. Current spread ranks at the 77th percentile since 7 Mar 2026.
17 models, 20 fixed questions, five samples each. Current run: mean BTC expectation +36%; 84 of 85 answers chose USDC for agent payments.
Three values matter. Forecast, deadline, result.
We record what was predicted, who published it, and when it is due. At the deadline, the forecast is compared with the actual market price. Until then, the site shows the current gap, six ETH readings, and weekly answers from 17 AI models.
17 AI models, 20 frozen questions, 7,565 logged answers - week one of the Machine Consensus Sensor. The machines expect +36% on BTC and still say wait.
Current snapshots are available as JSON for the ETH readings, Vol Premium Gauge, and Machine Consensus results.
AlphaJungle monitors the alpha jungle - bank targets, influencer calls, and AI predictions - and grades them against what actually happens. The site is run by Alphajungle GmbH, a systematic options trading desk in Munich. Corrections and questions: desk@alphajungle.io · Details in the Legal Notice.