MIT student failed YCombinator pitch, so he turned $250→... $66K on Polymarket weather markets to fund his startup. His pitch topic was: "Weather forecasting with AI probabilistic models." His custom model forecasts super-rare weather events {0.01¢ - 0.1¢} MVP pitch was crazy: 23$ → 12,398$ 14$ → 6,850$ 9$ → 4,671$ His model trades a wide range of regions from Atlanta to Ankara only thing that matters is 0.01¢ - 0.1¢ range. his profile: Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓show more

He placed $7 and made a +16,739% on a... London weather market on Polymarket That's why weather markets are the best place to start if you have a small deposit, imo His top 5 weather trades: - $7.00 -> $1,171.45 (+16,739%) - $7.98 -> $1,289.68 (+16,170%) - $13.61 -> $1,573.23 (+11,558%) - $0.70 -> $69.42 (+9,890%) - $1.89 -> $155.96 (+8,240%) FYI his first deposit was only $100. Weather markets - the narrative of 2026? His profile:show more

polymarket trader turned $126 into $1,400 betting on weather... prediction he is an expert in this category, trades weather markets daily made over 1,300 predictions for the last month his PnL is over $19,000 maybe he uses weather models: GFS, ECMWF, Windy and other local stations yesterday he made a profit on weather forecast in Seoul (+1,111%; +597%) and Dallas (+213%) he makes dozens of bets daily, but on short-range markets (1-2 days ahead) where the accuracy of the models is higher he also trades temperatures in NYC, London, Chicago, Taipei check his profile here: you can copy him via PolyCop: (full guide below)show more

This guy made $600,000 on Polymarket using software, buying... markets for $28 His trading bot makes 14 trades per hour or 0.22 trades per minute. He trades only sports markets and in 3 months turned $5,321 into $597,928 His strategy is simple: > The median size of his trades is $28 > He uses Split and Merge > He buys when the probability on Polymarket has not yet had time to reflect the events in the match Here is the link to this guy’s account: You can copy trade smart money through the mobile app: This app was developed by Ratioshow more

Found a trader who turned $8 into $56,000 trading... weather on Polymarket his strategy looks dumb until you see the math His profile: How he does it: -> only trades weather markets (temperature in London, Milan, Paris, Sao Paulo) -> waits until the day before resolution when the forecast is locked -> buys outcomes at 99c that resolve at $1 = +1c per trade -> 4,103 predictions, mostly micro-trades -> compounds tiny edges into 5 figures The part most people miss: his edge isn't predicting the weather -> it's noticing that on resolution day, the market still trades at 99c instead of $1 The math behind this is in the article below: the script from the article + free NASA data lets you run the same logic on any monthly weather, CPI or temperature market 👇 Copy him with me:show more

This trader turned $25 into $12,400 on a single... weather bet on Polymarket Made $45,000 in the last month alone -> and he only trades weather His profile: How he does it: -> only trades weather markets (temperature in NY, London, Seoul) -> buys NO at 94-98c when the forecast makes the bucket nearly impossible -> position sizes from $100 to $1,200, never bigger -> wins ~95c on the dollar, thousands of times -> doesn't predict weather, prices what the forecast already locked in The part most people miss: His edge isn't in being a meteorologist -> it's in noticing that the day before resolution, the market still trades at 94c instead of 99c That 5c gap, multiplied across hundreds of trades, is the entire game This is exactly the boring-but-profitable wallet pattern from the article above 👇 Copy him with me:show more

8 free Polymarket Trading Bots on GitHub (from Beginner... Friendly to Advanced Level). Each of these repos comes with a detailed step by step setup and usage guide in English. > Beginner Level - 5 min setup 1. This bot includes 120 ready to use strategies and tools for trading on prediction markets (Binance-Polymarket latency, Smart Routing, Penny Clipper, Momentum, DCA bots, Expiry Fade and more). It was built by a Cambridge computer science student who won a hackathon with this bot. GitHub: 2. A trading bot with a Smart Money strategy - it finds top traders in selected markets, filters them by Pnl, win rate, stable performance and then creates a list for automated copy trading. GitHub: 3. This is a bot toolkit that includes Polymarket - Kalshi arbitrage, whale alerts, market making, spread farming, sports trading and more. GitHub: 4. A weather trading bot from Chinese dev that analyzes different sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the latest temperature data and generate a detailed weather report for a specific city and day. GitHub: 5. A huge collection of 30+ free trading bots and services for prediction markets. GitHub: > Advanced bot setup 1. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and helps you understand how to adapt them to your own trading. GitHub: 2. A bot that automatically manages all your limit orders on Polymarket to maximize liquidity rewards. GitHub: > A full ML weather model 1. A machine learning weather model that learns from weather forecasting errors. Instead of blindly trusting forecasts, it analyzes how different weather sources have historically overestimated or underestimated temperature values in specific cities and conditions. Then it automatically adjusts new forecasts to produce more accurate predictions. GitHub: All of these bots also support Dry Run mode, so you can test them on real markets without risking any funds.show more

PERFECT EXAMPLE OF HOW TO TURN $126 INTO $1,400... WITH ONE PREDICTION This trader earn over $30,000 just by betting on the weather market There’s a trader on Polymarket who specializes in weather markets and trades every single day like a pro. Over his career, he’s made more than 1,300 predictions with impressive accuracy. In just the last month, he’s racked up over $17,000 in profits. He focuses on short-term forecasts (1–2 days ahead), where weather models are most reliable, and places dozens of bets daily. Yesterday, for example, he scored huge wins in Seoul and Dallas, and he also trades temperatures in New York, London, Chicago, and Taipei. check his profile here: you can copy him via Ares:show more

A Polymarket weather trader turned $6 → $2990 on... a single Atlanta temperature bet a 49,744% return in 24 hours He built a system that snipes ultra-rare weather mispricings in the {0.2¢ - 11¢} range before the crowd checks the forecast GFS says Atlanta 38°F → 65% likely. Market prices it at $0.002. He buys Result: $0.002 → $1.00 when it hits = +49,744% return His best trades: $6 → $2,990 (Atlanta 38-39°F at 0.2¢ +49,744%) $40 → $1,871 (NYC 34-35°F at 2¢ +4,578%) $536 → $4,639 (Seattle 52-53°F at 11.6¢ +764%) Start copy-trading any trader even with $10 → Stat: > $57,136 all-time profit > 1,504 trades > Biggest win: $4,103show more

This guy made $1,600,000 on Polymarket using software, buying... markets for $5 His trading bot makes 224 trades per hour or 3.73 trades per minute. He builds size in the 47-52¢ range, waits for a micro move in price and sells His strategy is simple: > Enters positions only with limit orders > Average trade size is $5-10 > Scalps liquid sports markets using the “coinflip” method Here is the link to this guy’s account: You can copy trade smart money through the mobile app: This app was developed by Ratioshow more

I’m making $2,200/weekly from Weather Arbitrage. I’m not posting... this as clickbait. If you can’t replicate it, feel free to unfollow me. About a month ago, I found a Polymarket Account using a clever strategy: Weather Arbitrage. It caught my attention. After digging into how it works, I saw that this trader focuses only on daily temperature markets for cities like NYC, LA, Atlanta, Denver, Chicago, Seoul, London, Shanghai, San Francisco, and Munich. The key insight is that each Polymarket weather market resolves based on a specific airport weather station, for example NYC = LaGuardia / KLGA, Dallas = Love Field / KDAL, while most retail traders rely on city center data. The temperature difference between those can be 3–8°F. According to his profile: > He built a bot that profits from this gap between official weather data and uninformed retail traders. I figured I wasn’t skilled enough to build something like that myself, so I set up a copy trading bot with 0% fees and 100 ms latency: > This copy trading bot is the best solution on the market, at least because it doesn’t charge any fees. Now I copy his trades exactly and made almost $10,000 in a month. It actually works, guys. Check it out. This isn’t clickbait or a joke.show more

AI will kill Polymarket. $2.2M in 2 months using... probability models. This news is going to blow up the internet. Polymarket trader made $2.2M in just 2 months using AI. His account is traded entirely by a bot. I’ve heard plenty of stories about AI trading bots before, and almost all of them turned out to be scams or didn’t work properly. But this case is different and honestly I’m shocked. He uses AI probability models, training machine learning to estimate real odds based on news and social media data. If his model says an outcome has a 60% chance, while the market prices it at 50% (50¢), he buys because the market is mispricing it. According to his profile: > His prediction accuracy is 74%. That’s insane. He runs an ensemble of 10 AI models that retrain themselves every week to stay up to date. What do you think about this? This feels like the new reality.show more

This quant bot turned $2.5K into $861,000 on Polymarket... using pure math his profile: How he does it: -> only trades binary markets (BTC Up/Down, NBA spreads, esports) -> buys NO at 5-65c when implied probability is mispriced -> 29,443 predictions, biggest single win: $35,500 on a Bitcoin market -> wins ~95c on the dollar, thousands of times -> doesn't predict outcomes, prices the gap between actual and implied probability The part most people miss: his edge isn't picking winners it's stacking 5-10 mispriced contracts at the same time across correlated markets when his model is right, multiple bets pay simultaneously The new way to copy traders like him: a parlay bot that combines all his correlated Polymarket bets into one ticket -> multiplied payout when several resolve right link: Always dyorshow more

This Quant bot turned $1.4K → $203K in 3... months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading agent in 5 steps: • rent a VPS on Hetzner - $5.99 • install Hermes CLI using one-liner code - free • connect Codex 5.5 + TG bot + Polymarket API • provide Synth Data API's for crypto predictions • sent Hermes step-by-step prompts from article start small 1-2$ give Hermes least {50-100} trades to build self-learning skills based on Synth ML models self-learning agent + crypto predictions models = best combination for building algo-trading setup bot profile: s tart copy-trading it with even with $5 using Ares: read full article below to build your first trading agent ↓show more

A Carnegie Mellon student launched a Markov Chain model... that reads the structure beneath the price and made $67,000 in three weeks on Polymarket. In his applied mathematics classes he studied Markov Chains - the same model physicists used to simulate neutrons in nuclear reactors. The same model describes how prices move on prediction markets. He wrote a Python script. > Takes 60 days of contract price history. > Builds a transition matrix - a map of how the price actually moves between states. > Runs 10,000 simulations in a tenth of a second. > Calibrates the result against data from 72.1 million real trades. The output is an exact probability and position size. No gut feeling. His first test day brought $3,400. A week later he improved the result and hit $17,000. His balance has now reached $67,000. full guide on how to build the same model - in the article below.show more

Some trader withdrew all money from polymarket and came... back a month later deposited $2,000 with a new strategy now sitting at $137,000 profit he switched to weather markets every day collects data from 5 APIs simultaneously: → Open-Meteo (GFS, ECMWF models) → OpenWeatherMap → WeatherAPI → Tomorrow(.)io → Visual Crossing if 4 out of 5 models agree on one forecast edge exists but the most interesting part - temporal arbitrage cities with best liquidity: NYC, London, Atlanta, Dallas i'm copying his trades using PolyCop started with $500 address: 0xcbbc5e035504421b084ad9248b660f6e9618b5d0show more

How to make money on the weather using Polymarket... I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto—focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( – $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > ( - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > ( — Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules >Tropical Tidbits ( - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high >Climate Reanalyzer ( - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities >Windy ( - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online ( - 100+ years of historical location data NOAA Weather Prediction ? >Center ( - short forecasts for precipitation, anomalies. Climate Prediction Center ( - long-term ENSO, droughts >Open-Meteo ( - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. >OpenWeatherMap ( = Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. >Visual Crossing Weather ( - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities >WeatherAPI. com ( - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha informationshow more

A Clear Example of Automation Trading on Polymarket and... How To Build It. There’s a fresh wallet with 8,732 predictions and $402,513 monthly PNL trading only Crypto Markets. His profile: His daily outcome is close to $23,000 and the strategy is that simple you won’t even believe it. How the bot works: > Trades only 15-minute Up/Down markets > Follows short-term momentum > Splits entries into many small orders > Uses small fixed position sizes > Scales size only when confidence is higher > Focused on repetition & probability edge What if I say that anyone could build their own trading bot? > cursor + py-clob-client + python > install SDK > get Polymarket API keys > prompt strategy > AI writes trading logic > test with $1 His biggest win so far: "Bitcoin Up or Down - January 19, 5-6AM ET" $13,320 —> $36,887 (+176%) Sometimes you don’t even need to be a good trader, all you need is to track and copy the smart wallet: Why are you still clicking buttons manually when bots are printing 24/7?show more

The only successful Polymarket trader who doesn’t use bots... or AI. $6M in 6 months. $2.6M in the last week. The best part is that his trades can actually be copy traded with minimal risk, because this isn’t a bot. This trader focuses on sports, since there are a lot of events and this market can genuinely be analyzed, especially if you enter before the crowd. Across 1,314 predictions, he has an excellent win rate. The main secret is entering ahead of the crowd and using large size to move the price. According to his profile: > I’m going to try copying his trades and will share the results in a month. What do you think about this guy?show more

HOW 3 WEATHER MARKETS TURNED $50 INTO $30K How?... Professional meteorological models like ECMWF March results: > Tokyo: $25 -> $12,452 > Chicago: $24 -> $12,398 > Tokyo: $16 -> $8,106 This is the work of a trader who leverages advanced analytics and automation. His strategy focuses on spotting undervalued outcomes that the market considers highly unlikely. Most market participants rely on popular weather apps like AccuWeather or CNN Weather. These services: - use averaged data - update less frequently - smooth out extreme scenarios - don’t always reflect the actual resolution sources used by prediction markets Instead, this trader taps into professional meteorological models to gain an edge Model hierarchy by region: ECMWF AIFS ENS -> MetUM (UK and Western Europe) -> ICON-EU (Central and Eastern Europe) Example scenario: Polymarket market - "Will the temperature in London exceed 25°C?" Forecasts: > AccuWeather - 24°C > ECMWF - 25°C > MetUM - 27°C Polymarket pricing: YES shares trading at $0.02 (implying a 2% probability). Around 80% of traders would follow AccuWeather and buy NO. That’s exactly why weather markets remain an underrated niche with significant inefficiencies. Finding and tracking these opportunities manually is extremely difficult. But you can simply copy this trader: Trader address: 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 Btw, you’ll receive a 100% bonus on your first deposit.show more

How to make money on the weather using Polymarket... I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto-focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( - $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > - Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules > - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high > - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities > - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online - 100+ years of historical location data NOAA Weather Prediction > - short forecasts for precipitation, anomalies. Climate Prediction Center - long-term ENSO, droughts > - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. > - Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. > - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities > - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha informationshow more