
0xRicker
@0xRicker • 6,105 subscribers
Researcher & Contributor | Polymarket Maxi | Dm open
Shorts
This account is 3 days old and already made $149,403 Nobody is watching this wallet and he made $30K only today His strategy is the most aggressive version of the Markov approach I've seen He doesn't enter at 50¢ or 70¢ He enters at 13¢–36¢ - the zone where the market treats the outcome as nearly impossible Then it resolves at 100¢ Fastest way to copy-trade him even with $10 using: Best closed trades: → BTC Up @ 21.4¢ - $28,814 · +368% → BTC Up @ 27.7¢ - $30,504 · +260% → BTC Down @ 33.5¢ - $34,587 · +195% He deploys $3K–$12K per position. At these returns, one win covers the next 5 entries The crowd sees 13¢ and reads: "won't happen." The Markov matrix reads the state transition and sees a committed direction Profile:
78,140 次观看
Chinese quant trader built Polymarket bot and turned $1.2K → $275,038 in one month using one secret He runs two separate engines simultaneously his edge is a Bayesian Prior Update before each session: P(UP | session) = P(UP) × P(futures_signal | UP) / P(futures_signal) engine 1-4-hour and session windows most quants ignore these. too slow, too much can go wrong he uses them because on a 4-hour window price has structure. futures market has already priced in direction. funding rate signals imbalance. open interest shows where the money is sitting when overnight BTC futures close with positive bias + funding rate negative → he bets UP on the 8AM-12PM window engine 2-5-minute windows same EV formula, different signal. no macro input. pure price state transitions when UP + DOWN < $1.00 → buy both sides, lock the arb gap when one side trades below 15¢ with trend confirmation → directional bet, size with Kelly the two engines don't compete. long windows = high conviction, large size. 5-minute windows = high frequency, smaller size, compounding Profile:
18,104 次观看
The first time I've seen a bot that turned $87 into $443,018 in just one month Nobody is watching this wallet and he makes $15.000+ every day 16,000 trades in 30 days = one prediction every 2.7 minutes, 24/7 His strategy: Trades 5-minute Up/Down windows across BTC, ETH, SOL, BNB and XRP simultaneously Enters at 73¢–96¢. Collects the spread to 100¢ momentum already committed - and loads just before resolution Fastest way to copy-trade him even with $10 using: Finds the window where momentum is locked That's a money printer with a Polymarket API key Profile:
44,370 次观看
Whale bot printed $50k/week using Bayesian Update formula Start with prior from Markov state history, update on micro-signals in real time → posterior becomes your edge probability Formula: P(H|E) = [P(E|H) × P(H)] / P(E) (H = hypothesis like "BTC up in next 5 min", E = new evidence: order flow spike + vol cluster) Check him -> - Target ultra-short BTC/ETH/SOL/XRP Up/Down windows (5–15 min) - Layer evidence: net buys >2σ, on-chain tx acceleration, cross-asset momentum delta - Only enter if posterior shifts >10–15% from market price → high-conviction micro-edge - 92,722 predictions = ~300 trades/day compounding at scale Small belief updates × 300 trades/day × geometric compounding = $50k/week Merlin just shipped Whale Autotrade It tracks every profitable whale and detects the entry the moment it executes, mirrors it to your account instantly
14,153 次观看
How you can build a Polymarket BTC trading engine with Claude to $1000/day print > RSI (context) + MACD (momentum) + Stochastic (timing) + EMA (structure) + OBV (confirmation) + VWAP (value) + Volatility (filter) = a bot that stops guessing and executes a framework Build v1: signal-based engine • Use RSI, ATR and cross-exchange price divergence to catch whale moves • Subscribe to Polymarket's order book WebSocket for real-time data • Minimize API calls. Let the WebSocket do the heavy lifting • This approach works around 95% of the time • The remaining 5% will cost you serious money if you hold to resolution Fastest way to copy-trade him even with $10 using: The edge No strategy wins forever Patterns only appear during specific windows of the day Your job: find the window. Trade only then AI alone won't write a strategy for you You need to train it on your own order book data first
24,404 次观看
The Quant Who Turned Shannon's 77-Year-Old Formula Into +$555K in 30 Days He's not betting on crypto. He's compressing its uncertainty - one bit at a time His strategy: Shannon → Kelly → Crypto Up/Down The Formula D_KL(P ∥ Q) = Σ p(xᵢ) · log₂ [ p(xᵢ) / q(xᵢ) ] P = his model. Q = the market price. The result = how many bits of information he has that the market doesn't. That number IS the edge KL > 0.10 bits → Pro zone. Trade KL > 0.30 bits → Insane edge or bad math Every position is a binary, ultra-short crypto market: BTC, ETH, SOL, XRP - Up or Down on 5-min and hourly windows The same playground Shannon's math was built for Fastest way to copy-trade him even with $10 using: Kelly Sizing Position size scales with edge in bits: - High conviction (BTC Down 58.9¢): 2,999 shares - Medium (ETH Down 63.9¢): 900 shares - Long-tail (XRP Up 17.1¢): 158 shares Same recipe Thorp used to run 20 seasons with zero losing years While retail argues vibes on 5-min candles, this wallet runs KL-divergence and Kelly - 33,795 times in a row
12,755 次观看