Generate quantile bands for the ticker in your chart and save the run so you can re-plot it later.
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Prepare market data, upload prediction CSVs, run SageMaker Autopilot on daily history, and keep every result private in Explore until you publish it.
Build player-level NBA, NFL, and MLB forecasts with the same private-save and Explore publishing flow used by Forecast Foundry.
Comments powered by GitHub Discussions. Select a sports run or open the Sports Foundry panel to join the thread.
Polymarket-inspired list view powered by Gamma API. Search by ticker or browse top active stock markets.
Predictions are informational only and not investment advice.
Toggle indicator stacks, compare signals across intervals, and keep everything aligned to the active ticker context.
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Company context and headlines update automatically and render below your chart.
Use the ticker field to export a clean canonical dataset with item_id, timestamp, and closing_price.
Daily exports keep the downloader aligned with Forecast Foundry's daily-only historical workflow.
If you're building your own dashboard, keep the export interval matched to your modeling interval so the timestamp cadence stays consistent across training and evaluation.
item_id, timestamp, and closing_price rows before exporting.Attributed RSS market headlines with provider selection, source links, and native-only ad slots between article groups.
Registry-driven Fiscal Data cards with schema-aware rendering and pagination.
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Run multi-provider analysis with structured Yahoo Finance context modules for the ticker.
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Pull an options chain and estimate probability of expiring in the money (risk-neutral approximation).
Convert with live FX rates and keep a quick recent list for repeat checks.
Run the daily Prophet signal tracker from the Quantura repository, save the result to My Requests, and auto-publish completed runs to Explore.
Comments powered by GitHub Discussions. Open a saved screener run to switch this thread to that specific run.
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Save symbols to your workspace. Every followed asset automatically gets a default ±5% volatility alert.
Structured terminal documentation inspired by professional screener help systems.
Quantura Screener dispatches the repository GitHub workflow, waits for the uploaded artifact, and saves the completed run back into your workspace.
Use the market-cap floor to control the universe, then reopen completed runs from My Requests or review the public history feed when scheduled jobs finish.
Start with trend context (price regime + moving averages), then add momentum (RSI, MACD), and finally confirm participation (relative/current volume, short float).
Treat technical signals as probabilistic confirmation layers. Pair them with earnings timing, analyst targets, and sector context before sizing risk.
1) Run Screener to generate candidates. 2) Validate with Indicators and News. 3) Build quantile ranges in Forecast. 4) Save and compare runs week-over-week.
GitHub Discussion
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