New features, improvements, and news from Project Blackbook.
I rebuild Simulations from the ground up, I was based off TheOracle database, and this made it difficult for Deep State users to backdate their Simulations. I also worked to make it more intuitive for users to create their own Simulations.
We had a bug involving authentication, users authentication wasn't being passes to all portions of the site, this made several features like Simulations inexcusable. That has been fixed
Project Blackbook Facebook page launched — facebook.com/projectblackbook
TheOracle portfolio simulations updated with expanded price data and new trade history
Historical price data pipeline launched — price data now available for hundreds of tickers going back over a decade, enabling more accurate return calculations
Duplicate politician records identified and resolved; active politician count corrected to 256
Senator name parsing corrected for all edge cases including all-caps names and non-standard filing formats
Signal cards updated with inline price charts showing performance vs. the S&P 500 benchmark
Nancy Pelosi and other high-profile members now display correct trade counts on the politicians page
Confidence grade algorithm updated — grades now factor in trading profitability, win rate, disclosure timing, and how recently a member has been active
Light and dark mode rendering issues resolved across the dashboard
Platform stats corrected to reflect accurate politician counts and trade totals
Signal Engine launched — tracks patterns in congressional trading activity, scores signals 0–100, and surfaces the most significant activity for members
The platform is now fully usable on mobile. Bottom navigation, responsive layouts, and touch-friendly controls across all pages. Built for people who check things on their phone — which is most people.
Project Blackbook now pulls campaign finance data from public FEC records and cross-references it with trading activity. When a politician trades in a sector that also funds their campaign, that connection is noted. No conclusions are drawn. The data speaks for itself.
Each tracked politician has a profile showing their full disclosure history, trading patterns, committee assignments, and a confidence grade — A through F — based on historical performance. Grades are calculated from closed positions in TheOracle simulation. Politicians with fewer than three closed positions show N/A until sufficient data exists.
Every trade disclosure filed under the STOCK Act appears on Project Blackbook within minutes of becoming public record. Filings are parsed, normalized, and matched to politician profiles automatically. The 45-day disclosure window means trades are always delayed — but the moment they are public, they are here.
After months of development, Project Blackbook is officially live at projectblackbook.app. Congressional trade data is now accessible, organized, and actionable for anyone who wants it — not just the people with expensive terminals and Wall Street connections. This is version one. There is a lot more coming.
TheOracle is an automated intelligence system that runs silently in the background, mirroring congressional trading activity into a scaled simulation environment. It identifies patterns across disclosure filings and generates signals based on behavioral consistency over time. Think of it as a shadow analyst — one that never sleeps, never misses a filing, and does not have opinions. Only data. More capabilities are being added. This is the foundation.
Conviction scores rank tickers from 1 to 100 based on how strongly congressional trading activity signals a directional move. A high conviction score does not mean buy or sell — it means multiple politicians with strong track records have moved in the same direction. Make of that what you will.
"I don't trust any company that doesn't ask for feedback."
— Stephen, Founder of Project Blackbook