
dionysiosfirst
6.9K posts

dionysiosfirst
@brightdio
Digital Asset Analyst: Tokenomics, Financial Modeling & Risk @zscdao fellow Δ, Γ, Θ, V, ρ DMs open








Polymarket trader earned $1,928,950 in 2 weeks His profile: polymarket.com/profile/%400x2… This trader joined Polymarket only in March 2026 and started making his first bets on March 3. He mainly trades in high-risk markets related to sports, esports, and crypto. Here are his best deals: > Will Liverpool FC win on 2026-03-03? - NO at 31.2c —> $1,043,151 profit > Will Real Madrid CF win on 2026-03-07? - YES at 36.7c —> $458,281 profit He is now one of the top 5 traders who have made a profit in the sports category. Perhaps next month he will already be top 1. I will keep an eye on his deals further.

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Vitality stonks through the roof on Polymarket 📈 #BLASTPremier





@iatskar @gondorfi YouTube: youtu.be/162cBdj3pxU











Pilot episode of the Predict Time podcast with @iatskar, founder of @gondorfi. Enjoy watching!




$739 → $1,817,710 betting on NBA spreads This Polymarket trader entered with $739 in November 2025. No complex models, no insider information, no high-profile bets No setbacks. No panic. Just edge by edge. his profile - @gatorr?via=dekos2911" target="_blank" rel="nofollow noopener">polymarket.com/@gatorr?via=de…


Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: @moisturizer?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@moisturizer?v…
Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together.







