The one-paragraph version
Brandon P. Leone is an investment banking / equity research analyst building a personal multi-desk trading operation. The flagship is a Pokémon TCG quant terminal (774 cards live-priced, 4-hour auto-refresh, transparent composite scoring) — but the platform spans sports cards, options pricing, equity factor models, and IB-style trading comps. Every desk publishes its math, sanity-guards its data, and ships in public. There's no paywall during the beta; the upgrade is to a Pro tier with Discord alerts and tax reports when those ship.
By the numbers
What's new (v0.22)
- 💸 Flip Bot — scans TCGPlayer + eBay BIN listings every 20 minutes against eBay sold-comp medians for the 322-card flip universe (Raw NM + Sealed). Computes net-after-fees profit + ROI for each candidate; alerts to Discord on qualified hits. Confidence tiers (OK / VERIFY / SUSPECT) gate false positives.
- 📱 Show Mode at bpleone.com/show.html — mobile-first card-show buying tool. Type a card name, enter the dealer's sticker price, get an instant BUY / OK / FAIR / PASS verdict with target buy and target sell. PWA installable to phone home screen. Card image preview + recent eBay sold-comps for sanity check.
Ready-to-use copy
Tweet-sized (240 chars)
bpleone.com is a personal trading operation by Brandon P. Leone: 7 desks (Pokémon TCG live, Sports Cards live, Options, Equity Factors, Trading Comps, more incoming), built on transparent quant scoring with the full methodology published.
Mid-length (400 chars)
Brandon P. Leone, an IB / equity-research analyst, is running a personal multi-desk trading operation at bpleone.com — Pokémon TCG (774 cards live), Sports Cards (NBA/NFL/MLB), an options pricer with full Greeks, a multi-factor equity model, and an IB-style trading-comps tool he ships as a paid product. Free beta. Every score's math is published; sanity guards reject bad data.
Long-form (800 chars)
Brandon P. Leone built bpleone.com as the front door for his personal trading operation — one operator running seven desks across collectibles, equities, options, and IB-style modeling tools. The Pokémon TCG desk is the flagship: 774 cards live-priced from PriceCharting, PokemonPriceTracker, and TCGPlayer; refreshed every 4 hours via GitHub Actions; ranked by a composite quant score (55% momentum, 20% scarcity, 15% value, 10% liquidity) with every input and threshold published on the methodology page. Sports Cards (NBA/NFL/MLB) ships the same framework. The Trading Comps Model is sold as a downloadable tool with white-label rights. The Options Pricer runs Black-Scholes Greeks with a live yfinance feed. The Equity Factor Model is a multi-factor long/short backbone. Everything's built in public.
Quotable
"Price alone misses scarcity, liquidity, and momentum. One composite score lets you screen 774 cards in 10 seconds and drill in from there."
"PriceCharting wins over PokemonPriceTracker because PC tracks longer-window aggregates. PPT is a useful second opinion."
"Every artifact is in the public repo. The scoring code is in streamlit_app.py. Fork it, validate it, suggest changes."
Screenshots
- Live terminal: bpleone.com — auto-scrolling ticker, KPI strip, Trade of the Day, movers tables, live Flip Bot arb table
- Card directory: bpleone.com/cards.html — searchable grid of all 774 cards with images + sparklines
- 📱 Show Mode: bpleone.com/show.html — mobile fair-value checker for card-show buying, PWA installable
- Pro dashboard: pokemon.bpleone.com — 22 tabs including 💸 Flip Bot live mispricings, Price Audit, Crack-It Calculator, PSA Cert Verifier, Storefront
- OG share image: /og.svg — 1200×630 branded asset
Need raw PNGs at higher resolution or with no UI chrome? Email below; I'll send a media kit zip.
Open data, audit-ready
Every artifact is in the public trading-desk repo:
streamlit_app.py— the Pro dashboardlive_prices.py— the 4-hour scraperbuild_homepage_feed.py— homepage data generatorbuild_market_brief.py— daily brief generatorsweep_pc_now.py+sweep_ppt_holdouts.py— manual price correctionslive_prices.json+price_history.jsonl— the live data itselfprice_overrides.json— every manual override is logged- methodology.html — full quant model math
- changelog.html — every shipped release