The data hedge funds pay $50k+/year for. Free, here, explained.
Each card below is an independent data integration that runs on its own AWS Lambda, writes to S3 every interval, and is monitored by the platform's health system. Combined, they multiply the signal of any single source. Numbers tap to the underlying full-detail pages where available.
Why aggregating these matters
Most analysts sit on one data source and trust their gut to weight signals. The real alpha is when independent sources converge: insider clusters at companies showing positive 8-K material events, AAII showing extreme bearishness when GDELT shows negative narrative saturation, OECD CLI ticking up while JOLTS layoffs decline. The combination is worth 10Γ any single source because each filters out the others' false positives.
This page shows you the latest reading from each source. The justhodl-asymmetric-scorer Lambda will be wired to read these next β turning the aggregate into a single conviction score per ticker.
What the world is talking about
Two angles on the same question β what's the market mood right now? GDELT reads a billion news articles a day; AAII surveys retail investors. They diverge often. When they agree at extremes, the signal is strong.
Where insiders + institutions are positioned
Form 4 = corporate officers buying their own stock with personal cash. 13F = positions of the largest funds (Berkshire, Bridgewater, Citadel, etc.). When a single insider buy shows up in 13F too, that's stacked conviction.
What's happening at companies right now
8-Ks disclose acquisitions, leadership changes, accounting issues, restructurings within 4 business days of the event. 10-Ks/Qs are the formal financial statements. Watching for restatements (10-K/A) is the cleanest restatement-risk signal.
Where the cycle is turning
Three independent leading indicators of the business cycle: OECD CLI looks at 38 economies' composite of leading data, JOLTS reads US labor at the job-posting level, and the NY Fed dealer survey captures expectations from the 24 banks moving the most flow.
On-chain, dealer gamma, redundant pricing
The plumbing layer. On-chain ratios reveal accumulation/distribution at extreme MVRV levels. Dealer gamma exposure (GEX) determines whether vol gets crushed or amplified intraday. Redundant prices ensure no Lambda goes blind when FMP rate-limits.
Where the money is flowing, where vol is pricing
Three regime indicators that tend to lead risk-asset performance: net Fed liquidity (WALCL minus TGA minus RRP), BTC/ETH exchange flow regime (accumulation vs distribution), and the shape of the VIX futures curve (contango vs backwardation).
Sector rotation map
Where the data sources collectively point. We blend insider buys, asymmetric setups, 8-K material events, and GDELT financial sentiment by sector β then surface the consensus tilt. Bullish sectors are where multiple independent signals agree.