
pearson
28 posts

pearson
@MPxbt
vibe coder. @Polymarket trader. follow me to earn. all my content supported by sponsors



"My Son is a Polymarket Genius" That's exactly what my dad said Why? Answer👇 I told him: my bot scored these addresses with a custom algorithm and turned $500 → $13,782 in 21 days, without me manually placing a single trade Most people blindly copy the leaderboard's 90%+ win-rate accounts. Win rate is a total trap Buying a YES share at 82¢ means you are risking 82¢ just to win 18¢. One single loss wipes out nearly five wins. In that bracket, an 80% win rate is essentially a break-even point So, the bot ignores the win-rate vanity metric and scores wallets based on: S(w) = α·PnL_realized + β·Consistency(t) + γ·Specialization(c) − δ·MaxDD The Strict Filtering Engine: - 80+ resolved trades - No single trade accounts for more than 30% of total PnL (to filter out one-hit wonders) - Entries strictly between 25¢ and 65¢ - Standardized position sizing (no erratic revenge bets) - Active within the last 14 days - 5+ months of a consistent upward equity curve Only 16.8% of wallets are net profitable. After filtering: ~40 worth copying out of 1.73M Only 11.2% of all wallets are net profitable over the long term. After running my filters, only ~62 wallets out of 2.4M were actually worth following Performance Comparison: 0x4f12...a8b3 - 62% win rate, $942,500 PnL 0x9c33...e2f9 - 74% win rate, $185,000 PnL The second wallet wins more often, but the first wallet makes 5x the money because they understand value. The bot picks the first one every time. It also uses Category-Locking: if a wallet consistently prints money in Global Politics, the bot only copies its politics trades and ignores its attempts at betting on Pop Culture or Sports Sizing Logic: To protect the bankroll, the bot uses a conservative Fractional Kelly Criterion: f = min(bankroll × kelly_quarter, max_position) kelly_quarter = ((p·b − q)/b)/4 Don't forget to drop a like and follow me The Result: 21 days. 18 wallets tracked. 485 trades. $500 → $13,782 My dad still doesn't get the math, but the PnL doesn't need him to

"WTF Are You Doing? You're not a meteorologist!" I shifted my laptop toward her: $450 → $12,420 Polymarket prices look like a pure softmax, the same engine Claude uses to weigh its next token So I fed the model two equations and a watchlist of 80 live contracts: f* = (p · b − q) / b P(H|E) = P(E|H) · P(H) / P(E) It doesn't read the news. It measures the differential The weather station says 92% rain. The market is pricing 78% That 14-cent edge? It takes it No vibes. No narrative. Just arithmetic It pings every hour. 72 out of 80 times, the answer is: PASS But when the gap clears 7%, it sizes via Kelly, executes the trade, and goes back to sleep One contract sat at 0.28 for three days while the fair price was 0.46 The bot waited anyway. Resolved YES Win Rate: 69.9%. It's wrong a full third of the time and still prints, because Kelly scales the winners harder than the losers Most wallets bleed out chasing feelings. A formula can't panic! (One script. Freshman-level math. 812 trades so far) My friend still insists I'm being weird about the weather The bot cleared $59.47 while he was saying it Drop a like. I'll show you how to build your own bot here: t.me/+V1JCe1KdbOxiM…





MY MOM wanted to know why I wasn't sleeping at 3am, but was stuck in Python files I'm not gambling. I'm doing the pricing Every Polymarket number is basically one line of math: P(i) = exp(qᵢ / b) / Σ exp(qⱼ / b) Yep, softmax. Same mechanism GPT uses to pick the next token. Polymarket uses it to set every contract price Most people see 40¢ and think "bargain" I see 40¢ and ask: what's the liquidity parameter? b = 50 → one whale can shove the market 20% b = 100,000 → you can throw orders at it and it yawns More alpha here: t.me/cristalonx Early on, I kept trading thin pools. One chunky order would vaporize my entry. I wasn't getting outpredicted, I was getting out-modeled by a formula I hadn’t even bothered to learn So I learned it. Then I wrapped code around it EV = true_prob × (1 - market_price) - (1 - true_prob) × market_price The bot pulls b, computes EV, sizes bets with Kelly: f* = (p × b - q) / b ...and fires before my coffee cools down $250.28 to start. Three weeks later: $12,950.79 No heroic calls Just the same math 95.99% of traders never look up, running on autopilot Full breakdown: EV, LMSR, Kelly sizing, plus 5 cognitive traps that quietly bleed accounts






$120K on a math degree to work at Starbucks then I found the one equation they should've taught first day: p(q) = e^(q/b) / Σ e^(qi/b) it's the softmax function > GPT uses it to predict words > Polymarket uses it to price beliefs I use it to make $8K/week bookmark this before student loans are due turns out differential equations were a scam










Bots always win on Polymarket This bot has made over $10,000,000 from summer until today While everyone is criticizing bots, we need to analyze them and identify patterns that will help us become profitable Many of them are not built on 5m and 15m BTC markets, which are prone to numerous errors One of the most successful bots: > name: kch123 > focus: sport > biggest win: $1.1M > total predictions: 1,935 There is no secret here, just the right strategy With which it makes 5+ figs every day I analyzed his strategy and identified some patterns To avoid sharing in public, I share in my Telegram Link below


