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β˜… For research and educational use only β˜…
Courses Performance Live Trades Journal Newsletter About πŸ¦… Premium
β˜… DeadCatFound Premium β˜…

TRADE THE NEWS,
NOT THE NOISE.

Three signal desks that turn market-moving events β€” earnings, 13F filings, policy posts β€” into verified, executable trade plans. Every claim backtested on real public data.

3
Signal Desks
249+
Events Back-Tested
75%
Buffett-Bump Win Rate (+5d)
100%
Free Public Data
Your Roadmap β€” Six Steps From Curious To Trading

New here? Do these in order β€” each step builds on the last. By the end you have a verified signal, an executable trade, a hardened bot, secured assets, and one screen to run it all from.

1

Verify The Edge

Start sceptical. The Research desk holds every backtest behind these signals β€” real public data, win rates, p-values, the unflattering results included. Trust the numbers before you trade them.

2

Choose A Signal Desk

Pick the kind of market-moving event you want to trade β€” Power Players (policy posts), Market Movers (earnings & 13F filings), or the Non-Public Watch List (pre-IPO giants).

3

Read The Signal, Take The Ticket

On any operator card, read the Event Playbook β€” scenario, ticker, direction. Then hit Trade Ticket for the exact entry, trailing stop and position size, ready to execute.

4

Harden It In The Bot Lab

Before real money: size the trade safely with the Regime & Risk Engine, prove the edge with the Validation Lab, or turn a strategy into a runnable bot.

Open the Bot Lab β†’
5

Lock Down Your Assets

The moment you connect a broker or hold a key, you are a target. Secure everything, and scan your own code and site for leaks before you go live.

Open Protect Your Assets β†’
6

Run It All From The Command Center

Once it is live, the Command Center puts every desk, bot, position, alert and risk gauge on one screen β€” the whole operation at a glance.

Open the Command Center β†’
Or Jump Straight To A Desk Or Tool
Congress

Capitol Trades

The five most influential politicians' disclosed stock trades β€” a copy-trade watch, on a delay.

5 lawmakers Β· STOCK Act filings
Open desk β†’
Toolkit

The Bot Lab

Make any bot more lethal β€” regime & risk engine, validation lab, trade-journal AI, strategy builder.

4 tools Β· strategy-agnostic
Open the lab β†’
Command Center

The Dashboard

Every desk, bot and extension on one screen β€” signals, positions, risk engine and alerts working together.

Integrated operations view
Open the dashboard β†’
β˜… Premium Β· Real-Time Policy Alpha β˜…

POWER
β˜… PLAYERS β˜…

We monitor the three people who move markets the most:
President Trump Β· The Fed Β· Elon Musk.
Every post, every speech, every tweet β€” classified, scored, and traded in seconds.

β€”Signals Tracked
β€”Tradeable Win-Rate
β€”Avg Move / Trade
52KPosts Backtested
Educational research Β· Not financial advice Β· Past performance β‰  future returns

THE BIG THREE MARKET MOVERS

Every post is tagged, classified, and journaled. Tradeable signals trigger same-day intraday positions.

President Donald J. Trump β€” official portrait

PRESIDENT TRUMP

@realDonaldTrump Β· Truth Social Β· since 2022
Live

Live Sentiment

+0.62
Net Bullish (broad market)
Last 24h: 8 tradeable signals. Dominant theme: tariff escalation.

Market Predictions

FXI↓ SHORTconf 64% Β· +0.23%
SPY↓ SHORTconf 48% Β· +0.10%
SPXL↑ LONGon buy-call Β· +13%
YANG↑ LONGinverse FXI Β· 3x

Recent Tradeable Posts

News Cross-Confirmation

πŸ“¦ Full Framework
Federal Reserve Chair-Designate Kevin M. Warsh

THE FED Β· K. WARSH & FOMC

federalreserve.gov Β· Warsh sworn in May 2026 Β· Powell now chair pro tempore
Live

Policy Stance

+0.04
Slightly Dovish (Powell-base)
Backtested: 2,203 Fed items 2017–2025. Powell speeches: 59% WR, +0.04% mean. FOMC press: 47% WR, +0.13%. Next FOMC: 14 days (Warsh's first as Chair).

Rate-Sensitive Plays

XLF↑ LONGon rate-cut Β· conf 60%
TLT↑ LONGdovish Β· bond bull
DXY↓ SHORTUSD weakens on cuts
GLD↑ LONGreal rates ↓

Recent Press Releases & Speeches

Macro Headlines

πŸ“¦ Full Framework
Elon Musk

ELON MUSK

@elonmusk Β· X / Tesla / xAI / SpaceX
Beta β€” Q3 launch

Posting Sentiment

+0.78
Killer subgroup found
DOGE meme + 200K-500K likes + weekday: n=17, 82% WR, +8.11% mean same-day. 2021 peak: 85% WR / +10.17%. Regime-dependent β€” best in crypto-mania periods. Premkt UTC hour-of-day: 56% WR / +2.13% mean (10Γ— baseline).

Killer Subgroup + Backups

DOGE↑ LONG β˜…viral 200-500K Β· weekday Β· 82% WR / +8.11%
DOGE/BTC↑ premkt06-13 UTC tweets Β· 56% / +2.13%
SIGL↑ "use X"microcap pump Β· +69% / +439%
TSLA↑ SEC trigger"funding secured" Β· +5.19%

Recent Posts (Beta β€” X API gated)

Tech Headlines

πŸ“¦ Full Framework

RUN THE BOT YOURSELF

The full Trump Put trading framework is yours. Clone it, run the backtest, paper-trade it on Alpaca, keep journaling signals to your own SQLite. Multi-source feed, leveraged ETF translation, per-signal premarket gating, and the policy multiplex are all included.

# 1. Clone the framework git clone https://github.com/cpwhite/trump_put.git cd trump_put pip install -r requirements.txt # 2. Pull historical data + run backtest python src/data_ingest.py --posts --prices python analysis/full_backtest.py \ --min-strength 0.5 --confidence-filter \ --leveraged --queue-premarket # 3. Dry-run against live CNN + Fed + WH feeds python src/live_runner.py --dry-run --poll 60 # 4. Paper trade on Alpaca export ALPACA_API_KEY=... export ALPACA_API_SECRET=... python src/live_runner.py --paper # 5. Inspect the journal anytime python src/journal.py stats
πŸ¦…
52K Backtested Posts Every Trump tweet + Truth Social post from 2017 through October 2025, scored and outcome-matched against real yfinance prices.
πŸ“‘
5 Live Feeds, Auto-Dedup CNN mirror, trumpstruth.org RSS, federalreserve.gov press + speeches, whitehouse.gov news. Optional truthbrush direct API for sub-minute latency.
⚑
Leveraged ETF Translation SPY long β†’ SPXL (3x). FXI short β†’ YANG (3x). TSLA long β†’ TSLL (2x). Same risk model, ~3Γ— the dollar P&L per move.
🧠
Self-Learning Journal SQLite logs every signal β€” taken, skipped, why, P&L. After 30 days, run journal.py rebuild-confidence to retrain on your own live data.
πŸ›‘οΈ
Built-In Safety Rails Per-signal pre-market gate. EOD force-close. 3% daily kill switch. Counter-signal handler. Confidence filter on by default.