leopardracer
1.3K posts

leopardracer
@leopardracer
researcher & analyst | eth maxi



[ ZOOMER ] TRUMP'S NEXT FED CHAIR, KEVIN WARSH, DISCLOSES HOLDINGS THAT INCLUDE POLYMARKET, SPACEX, AND CRYPTO: RTRS

Another weather legend trader just caught my attention. $6 in. $400 out. Betting on the weather. Meet [Snake123] -> 15,000+ trades in 11 weeks on Polymarket. Strategy? Dead simple. Buy predictions at 1c–5c. Collect 500% to 6,000% returns. today alone: $4 -> $396 $6 -> $400 $8 -> $392 All trades are public. You can mirror every single one. Copy him live via @join" target="_blank" rel="nofollow noopener">kreo.app/@join
. Just add his wallet (0xfbb7fc19f80b26152fc5886b5eafa7d437f26f27) here -> t.me/KreoPolyBravoB…. Also his profile: @snake123?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@snake123?via=… Save this. And repeat.

Bloomberg charges $24,000/year per terminal. Fidelity, Euronext, and Tradeweb just said: we don't need that anymore. They picked @PythNetwork instead. The $50B data cartel just got its first crack and it came from the institutions that built it. Here's what actually happened: For 40+ years, the market data industry ran the same racket. Institutions generated the data. Vendors repackaged it. Everyone else paid through the nose to access it. Closed terminals. Locked APIs. Middlemen at every step. Today that changes. Fidelity, Euronext, Tradeweb, SGX FX, OTC Markets Group, and EDI just became direct publishers on the Pyth Data Marketplace. First time any of these institutions have touched blockchain infrastructure for data distribution. And we're not talking about basic crypto feeds. Spot FX. Precious metals. ETF iNAVs. Fixed income. OTC pricing. The stuff that used to cost a six-figure contract to get close to -> now flowing directly to 100+ blockchains and 700+ apps. No middlemen. Full institutional control. Every dataset added is new revenue for the Pyth protocol. This isn't Pyth chasing TradFi. Six of the most powerful names in finance looked at legacy infrastructure, looked at onchain rails and chose the latter. That's not a pilot. That's a verdict. The terminals had a good run. > pyth.network/marketplace













SAVE THIS WEATHER TRADER AND FOLLOW ALONG -> This bot turned $30 into $20,000 and pulled $17,000 from weather predictions with a 94% win rate. His approach: -- Bets NO on tight temperature ranges, occasionally YES, that covers the majority of his trades. He likely runs meteorological models (GFS, ECMWF, etc.) under the hood. Overall the strategy is disciplined -> no chasing big multipliers, just consistently capturing small edges. -> His profile here: [polymarket.com/profile/%40rai…] -> Copy his trades via TG bot here: [t.me/KreoPolyBravoB…] Also don't forget to BOOKMARK IT.



