0xRicker

People once they realise that it would take them 1 month to change their life and turned $9,000 into $784,000

@antpalkin it really feels great

how does it feel having your own pocket financial AI agent that instantly cooks up any market analysis or full news recap the second you shoot it a WhatsApp text

@antpalkin i wish you gl bro

@0xRicker It would have been an incredible month for me

@MisterNoComents you think so?

@0xRicker This is a great acquisition

@Hrundel75 hope everyone will feel this one day

@0xRicker Life changing moment

Quant HFT Bot turned $9,000 into $784,000 in 30 days on Polymarket No leverage. No insider info Just sports math that 99% of traders ignore Past month profit: $784,174 35,627 predictions. Hundreds of simultaneous positions The only right way to copy-trade him even with $10 using: @0xricker" target="_blank" rel="nofollow noopener">kreo.app/@0xricker The math behind sports O/U trading: Sportsbooks set lines to balance action, not to be accurate Polymarket prices reflect crowd opinion, not sharp data When these two diverge, there's an edge Formula: EV = (your_prob − market_price) × payout If your model says 43% and market says 50% → you buy Under Edge: 7 cents. At scale: everything. When a key player gets injured 20 minutes before tip-off, the O/U line moves But Polymarket takes 3-5 minutes to reprice In those 3 minutes he has already entered

@ninedol Kreo can actually provide both speed and model accuracy

@0xRicker edge comes from speed and model accuracy, not just spotting the move scaling this to 35k trades is where it turns into real money

@antpalkin And also more profitable

@0xRicker There comes a time when simulation becomes more useful than personal experience

My friend when he realize that he could make $10,000 in 1 week just by running 10,000 simulations before start trading

🚨 NEW POLYMARKET: What will Trump say during events with Japanese Prime Minster? polymarket.com/event/what-wil…

@TemsYanik he is real political degen

Trader on Polymarket earned $1,342,358 on trading political. A former political science PhD student who dropped out His strategy sounds absurdly simple: > he buys contracts on events that are almost certain to happen > the market says 85 cents - he thinks the fair price is 99. > he bets $300-600k and pockets the difference > He almost never buys a contract below $0.70 Hence the absurdly high win rate with 1,154 trades (84.6%) You can copy his trades here and take your edge: t.me/predictr_trade… His real edge isn't in the data. It's in understanding human behavior For a $600k bet on "Will Biden announce resignation by July 31?" he surveyed people - expats, acquaintances, and people hired on Fiverr specifically for this His profile: @scottilicious?modal=signup&mt=1&via=yanik" target="_blank" rel="nofollow noopener">polymarket.com/@scottilicious… When everyone without exception says the same thing - that's the signal The main inefficiency on Polymarket is the 70-90 cent range. > Retail wants to buy at 10 cents and make 10x Hi buys at 85 cents and makes +15% on volumes retail doesn't play in The game has changed If you don't understand human psychology and can't read politics as behavior, not as data - you're not a trader. You're liquidity

@fgenstart good notice bro

@0xRicker best entry indicator is still placebo feels test i need infinite ur friends doing better reminder always

Your friend made $10k this week. You've been trading for 4 years and still losing The difference: he runs 10,000 simulations before going live You trust one backtest sample = np.random.choice(trades, replace=True) Bootstrap + Markov Chain tells us where the contract is going before it gets there Book it or keep losing

@noisyb0y1 it should - so more people will read this alpha article

@0xRicker i'm sure this will get 100k views minimum

@winngamerx do you try it?

@0xRicker i love it

From Designer to $1M+ PnL on your own Polymarket bot Want to go from zero to $50k/month on Polymarket? This info will help you with this Block 1: Binance + Pandas Series - Part 3/12: Data is fuel. Pull BTC/USDT OHLCV via Binance API (daily ~730 rows, hourly ~18k), log returns, SMA/volume, resample, clean → save to HDF5/CSV - Ready-made data_loader.py script - Goal of the series: From zero knowledge → fully automated trading bot in Python The fastest way to copy-trade anyone using @0xricker" target="_blank" rel="nofollow noopener">kreo.app/@0xricker Block 2: Polymarket edges and bots (weather, arb, copy-trading) - Weather bots: NOAA/ECMWF/GFS data → 94% real prob vs market 11¢ → 4x on near-certain events. Real wins: $100 → $8k, +$76k, +$75k pure weather - OpenClaw + ChatGPT + simmer-weather skill → fully auto, scans every 2 min - Arb/math plays: YES+NO < $1 → buy both, collect 3¢ risk-free. 43k+ trades → $774k PnL. Leaked quant repo: multi-model divergence → $76k Block 3: Infra + AI + Mindset - Polymarket open-source: py-clob-client → get_markets(), post_order. Build order-book bot in a day - everything you need is already public - AI over code: Claude prompts + Kelly criterion → +40%, 68% WR. 47-line .txt file → $1k+/mo. - Overall vibe: From “inexperienced designer” → quant edges in weeks. Math + automation + copy-trading > emotions Most people scroll past edges worth money. Don't be most people - book it

@PredictReport thanks chads

@0xRicker this is actually real value would be sick to automate it fully

@sopersone thats fact bro

@0xRicker Even a janitor can learn anything they want if they have the desire The main thing is to have the motivation