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39 -> $5,753 Predicting Temperature on Polymarket This trader proved its real. Nowadays you can make money even on weather. $197 -> $7,342 (+3,616%) $86 -> $4,623 (+5,271%) His profile: Strategy is simple: > Buy ultra-cheap weather brackets (0.3–3%). > Track forecast shifts, price spikes as probability rises. >...

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49,363 просмотров • 7 месяцев назад •via X (Twitter)

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i reverse-engineered gopfan2's weather strategy with Claude gopfan2 has $343,000+ in profit on Polymarket trading nothing but weather markets no BTC. no politics. just temperature. the strategy has 3 rules: → buy YES if price $0.45 → never bet more than $1 per position that's it. 10,000+ trades. same rules. every single time. why it works: retail traders bet on the obvious temperature range they ignore the cheap "tail" buckets → market prices them at 10–12¢ → real probability is closer to 18–20¢ → gopfan2 buys the gap. thousands of times. no weather forecast model needed no satellites. no NOAA API. just: is this bucket priced below 15 cents? yes → buy. Claude reverse-engineered the exact entry/exit logic found that the real edge disappears above 15¢ entry copy the open-source version: watch him: what trader do you want me to reverse-engineer next?
1:14

i reverse-engineered gopfan2's weather strategy with Claude gopfan2 has $343,000+ in profit on Polymarket trading nothing but weather markets no BTC. no politics. just temperature. the strategy has 3 rules: → buy YES if price $0.45 → never bet more than $1 per position that's it. 10,000+ trades. same rules. every single time. why it works: retail traders bet on the obvious temperature range they ignore the cheap "tail" buckets → market prices them at 10–12¢ → real probability is closer to 18–20¢ → gopfan2 buys the gap. thousands of times. no weather forecast model needed no satellites. no NOAA API. just: is this bucket priced below 15 cents? yes → buy. Claude reverse-engineered the exact entry/exit logic found that the real edge disappears above 15¢ entry copy the open-source version: watch him: what trader do you want me to reverse-engineer next?

self.dll

10,493 просмотров • 3 месяцев назад

$799 → $64K BY TRADING THE WEATHER ON POLYMARKET reading more about probability, EV and how markets misprice events… > and then you open Polymarket and see traders like this > started with about $799 > now +$64K profit > ~80% win rate > #1 in the world in Daily Temperature markets his strategy is extremely simple: > sell extreme weather outcomes the market overprices > he buys NO at $0.93-0.99 on unlikely temperature ranges > across multiple cities every day small positions → constant repetition → pure compounding a perfect real-world example of what the article talks about: > find small edges > size correctly > repeat thousands of times study his wallet: > or copytrade wallets like this:
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$799 → $64K BY TRADING THE WEATHER ON POLYMARKET reading more about probability, EV and how markets misprice events… > and then you open Polymarket and see traders like this > started with about $799 > now +$64K profit > ~80% win rate > #1 in the world in Daily Temperature markets his strategy is extremely simple: > sell extreme weather outcomes the market overprices > he buys NO at $0.93-0.99 on unlikely temperature ranges > across multiple cities every day small positions → constant repetition → pure compounding a perfect real-world example of what the article talks about: > find small edges > size correctly > repeat thousands of times study his wallet: > or copytrade wallets like this:

Mr. Buzzoni

14,839 просмотров • 5 месяцев назад

I found one of the most interesting Polymarket traders. He only trades weather markets. No crypto. No politics. No macro. Just weather. $23 → $6,146 $10 → $5,000 $6 → $3,401 78% win rate. +$47,000 P&L in under 3 months. Profile: Copytrade: (As always: verify data independently and understand execution risks before copying any strategy.) Most of his gains are expressed in percentage terms. His approach targets 10,000–20,000% returns by buying extremely cheap contracts. Not random bets. Deep out-of-the-money pricing. When contracts are trading at $0.01–$0.03, even small probability shifts create massive percentage returns. He’s likely using structured weather data — possibly NOAA-based tools — but the real edge isn’t just the forecast. It’s how he prices risk versus reward. He waits for mispriced tails. Small size. High asymmetry. Repeated consistently. Weather markets are inefficient. Low competition. Slow repricing. Emotion-driven entries. This wallet is worth studying — not just for the market selection, but for the return structure behind it.
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I found one of the most interesting Polymarket traders. He only trades weather markets. No crypto. No politics. No macro. Just weather. $23 → $6,146 $10 → $5,000 $6 → $3,401 78% win rate. +$47,000 P&L in under 3 months. Profile: Copytrade: (As always: verify data independently and understand execution risks before copying any strategy.) Most of his gains are expressed in percentage terms. His approach targets 10,000–20,000% returns by buying extremely cheap contracts. Not random bets. Deep out-of-the-money pricing. When contracts are trading at $0.01–$0.03, even small probability shifts create massive percentage returns. He’s likely using structured weather data — possibly NOAA-based tools — but the real edge isn’t just the forecast. It’s how he prices risk versus reward. He waits for mispriced tails. Small size. High asymmetry. Repeated consistently. Weather markets are inefficient. Low competition. Slow repricing. Emotion-driven entries. This wallet is worth studying — not just for the market selection, but for the return structure behind it.

Phantom_Defi

37,801 просмотров • 5 месяцев назад

He bought contracts for 3–17¢ and sold them for 60–95¢. And he did this 620 times. Over the course of his trading career, he earned $7,384.63. A trader has found a niche on Polymarket that almost no one notices -temperature forecasts for Asian cities. While everyone else is competing for election-related markets and sports, he checks the weather forecast every day. Seoul, Shenzhen, Hong Kong, and New York -and makes money wherever the market misprices probability. Top 3 deals: $21.38 -> $611.93 (+2,762%) $41.54 -> $584.56 (+1,307%) $66.93 -> $810.80 (+1,111%) The simplest market inefficiencies are often the most profitable.
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He bought contracts for 3–17¢ and sold them for 60–95¢. And he did this 620 times. Over the course of his trading career, he earned $7,384.63. A trader has found a niche on Polymarket that almost no one notices -temperature forecasts for Asian cities. While everyone else is competing for election-related markets and sports, he checks the weather forecast every day. Seoul, Shenzhen, Hong Kong, and New York -and makes money wherever the market misprices probability. Top 3 deals: $21.38 -> $611.93 (+2,762%) $41.54 -> $584.56 (+1,307%) $66.93 -> $810.80 (+1,111%) The simplest market inefficiencies are often the most profitable.

Dekos

20,545 просмотров • 1 месяц назад

+$20,280 ON POLYMARKET WEATHER MARKETS. 93% WIN RATE. THE BOT THAT NEVER SLEEPS this trader has been running the same play for 4 months straight > temperature markets. 20+ cities. every single day. automatically the strategy: > find markets "will temp in [city] be exactly X°C on [date]?" > check the forecast 24-48h before expiry > if no -> buy No at 80-99 cents > also take Yes at 20-35 cents on outlier temps as cheap options > hold through the night, exit at 99-100 cents Beijing, Tokyo, Singapore, Seoul, Dallas, Buenos Aires, Cape Town, Wellington - all running in parallel the edge: exact temperatures are statistically rare > No = 90-96% real probability > market prices it at 80-99 cents > 96% win rate on that bracket alone > 8,710 trades in 4 months Yes positions at 23-30 cents = cheap exposure to surprise temps. most lose. occasionally +100-200% > $1.3M volume. $20K+ PnL. 70+ trades per day. this is a trading agent, not a human tracked this on CRISP - backtest over 3 days: > $100 fixed copy mode -> +$491 on $2,000 deployed (24.6% ROI) > 86% win rate, max drawdown 17.4% note: swing hold (2 days) = higher risk than most weather traders. drawdown hits harder > full profile: > copy his trades:
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+$20,280 ON POLYMARKET WEATHER MARKETS. 93% WIN RATE. THE BOT THAT NEVER SLEEPS this trader has been running the same play for 4 months straight > temperature markets. 20+ cities. every single day. automatically the strategy: > find markets "will temp in [city] be exactly X°C on [date]?" > check the forecast 24-48h before expiry > if no -> buy No at 80-99 cents > also take Yes at 20-35 cents on outlier temps as cheap options > hold through the night, exit at 99-100 cents Beijing, Tokyo, Singapore, Seoul, Dallas, Buenos Aires, Cape Town, Wellington - all running in parallel the edge: exact temperatures are statistically rare > No = 90-96% real probability > market prices it at 80-99 cents > 96% win rate on that bracket alone > 8,710 trades in 4 months Yes positions at 23-30 cents = cheap exposure to surprise temps. most lose. occasionally +100-200% > $1.3M volume. $20K+ PnL. 70+ trades per day. this is a trading agent, not a human tracked this on CRISP - backtest over 3 days: > $100 fixed copy mode -> +$491 on $2,000 deployed (24.6% ROI) > 86% win rate, max drawdown 17.4% note: swing hold (2 days) = higher risk than most weather traders. drawdown hits harder > full profile: > copy his trades:

Mr. Buzzoni

12,782 просмотров • 2 месяцев назад

I gave Claude historical weather API vs Polymarket discrepancies and said: "find the gap where the forecast shifts but the price lags" it built the Weather Arb Terminal this isn’t predicting the rain it’s exploiting the latency between a NOAA satellite update and a retail trader’s reaction the screen shows engine in full execution: > 247 active contracts scanned > 86.8% accuracy on deviation spikes > +$5,475.80 in a single session > 462 trades. Zero opinions. the logic is a 4-stage execution pipe: scan → discrepancy → filter → execute 18:59:17 - NYC Frost forecast shifts from 41% to 58% on NOAA/AccuWeather - market is asleep at $0.44. 17-point edge - the bot hits the bid before the headline even hits the feeds - 19:02:14 - Market catches up. Price spikes to $0.61 +$534.20 in 3 minutes it doesn't care if it's snowing or sunny It only cares that the probability changed and the price didn't while the crowd debates climate change, the network reads standard deviations > fire rate: 41 Hz > latency: 3ms > edge: 16pt avg the network doesn’t get tired. it doesn’t hope. it waits for the math to break, then it collects. copy the engine here: the forecast is noise. the deviation is the signal
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I gave Claude historical weather API vs Polymarket discrepancies and said: "find the gap where the forecast shifts but the price lags" it built the Weather Arb Terminal this isn’t predicting the rain it’s exploiting the latency between a NOAA satellite update and a retail trader’s reaction the screen shows engine in full execution: > 247 active contracts scanned > 86.8% accuracy on deviation spikes > +$5,475.80 in a single session > 462 trades. Zero opinions. the logic is a 4-stage execution pipe: scan → discrepancy → filter → execute 18:59:17 - NYC Frost forecast shifts from 41% to 58% on NOAA/AccuWeather - market is asleep at $0.44. 17-point edge - the bot hits the bid before the headline even hits the feeds - 19:02:14 - Market catches up. Price spikes to $0.61 +$534.20 in 3 minutes it doesn't care if it's snowing or sunny It only cares that the probability changed and the price didn't while the crowd debates climate change, the network reads standard deviations > fire rate: 41 Hz > latency: 3ms > edge: 16pt avg the network doesn’t get tired. it doesn’t hope. it waits for the math to break, then it collects. copy the engine here: the forecast is noise. the deviation is the signal

Hanako

39,093 просмотров • 5 месяцев назад

This Polymarket user built a weather AI bot Now he's up $63,853 (started from just $27) It bets on 0.1% odds and constantly makes +10,000% I spent hours analyzing it so you don't have to Here’s how he did it by combining Claude + weather APIs: The bot ignores 50/50 odds completely. Instead, it buys outcomes priced from 0.1% to 10% where upside is 20x. Cheap shares. Asymmetric payout. Low hit rate needed. That’s already enough to beat most traders. But the real edge is data. This bot tracks major weather forecast APIs in real time. When Polymarket asks smth like: “Will London hit 9°C tomorrow?” Forecast models often already shifted hours earlier. But Polymarket hasn’t. So you get moments where YES is priced at 10%, while real probability is closer to 80%. That gap is the trade. And the bot is buying mispriced certainty. Execution is boring on purpose: > Scan markets > Compare odds to forecast probabilities > Ignore anything without big upside > Buy cheap and hold to settlement Same loop every time. Each bet is small, usually $50-$200. Lose a few. Win one. Still up by THOUSANDS. That’s how $50 turns into $5,000 repeatedly. Despite only 33% Win Rate, his PnL curve is always growing. Why this works? Weather is one of the most modeled things on Earth. Airlines, energy grids, governments rely on the same data. > APIs update fast > Prediction markets lag > Bots just harvest that delay Important part most miss: This isn’t magic or unreachable. And these bots aren’t genius. They just compare real probabilities to market odds and act faster than humans. Btw regular traders avoid weather markets, which also decreases the competition. That’s why weather markets look boring and quietly print for those who understand structure. His profile: [ I’m watching a few of these wallets closely. Curious how long this inefficiency stays open. Will share some wallets with you in my next post.
0:56

This Polymarket user built a weather AI bot Now he's up $63,853 (started from just $27) It bets on 0.1% odds and constantly makes +10,000% I spent hours analyzing it so you don't have to Here’s how he did it by combining Claude + weather APIs: The bot ignores 50/50 odds completely. Instead, it buys outcomes priced from 0.1% to 10% where upside is 20x. Cheap shares. Asymmetric payout. Low hit rate needed. That’s already enough to beat most traders. But the real edge is data. This bot tracks major weather forecast APIs in real time. When Polymarket asks smth like: “Will London hit 9°C tomorrow?” Forecast models often already shifted hours earlier. But Polymarket hasn’t. So you get moments where YES is priced at 10%, while real probability is closer to 80%. That gap is the trade. And the bot is buying mispriced certainty. Execution is boring on purpose: > Scan markets > Compare odds to forecast probabilities > Ignore anything without big upside > Buy cheap and hold to settlement Same loop every time. Each bet is small, usually $50-$200. Lose a few. Win one. Still up by THOUSANDS. That’s how $50 turns into $5,000 repeatedly. Despite only 33% Win Rate, his PnL curve is always growing. Why this works? Weather is one of the most modeled things on Earth. Airlines, energy grids, governments rely on the same data. > APIs update fast > Prediction markets lag > Bots just harvest that delay Important part most miss: This isn’t magic or unreachable. And these bots aren’t genius. They just compare real probabilities to market odds and act faster than humans. Btw regular traders avoid weather markets, which also decreases the competition. That’s why weather markets look boring and quietly print for those who understand structure. His profile: [ I’m watching a few of these wallets closely. Curious how long this inefficiency stays open. Will share some wallets with you in my next post.

Dexter's Lab

517,496 просмотров • 7 месяцев назад

This trader made $132,356 on Polymarket using trading bot, buying markets for $11 His bot trades 5-minute crypto Up/Down markets and combines high-frequency directional trading with dynamic hedging Its strategy is simple: > Finds mispricing with its probability model and buys the outcome where it sees an edge > Increases the position if the signal is confirmed, and partially reduces exposure when the signal weakens > When the underlying asset reverses, it buys the opposite side as a hedge His Polymarket nickname: trinity42 You can build your own trading bot here: (Free trial available after registration) Using its strategy and high-quality execution, this guy turned $2,000 into $132,356 in 4 months of trading
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This trader made $132,356 on Polymarket using trading bot, buying markets for $11 His bot trades 5-minute crypto Up/Down markets and combines high-frequency directional trading with dynamic hedging Its strategy is simple: > Finds mispricing with its probability model and buys the outcome where it sees an edge > Increases the position if the signal is confirmed, and partially reduces exposure when the signal weakens > When the underlying asset reverses, it buys the opposite side as a hedge His Polymarket nickname: trinity42 You can build your own trading bot here: (Free trial available after registration) Using its strategy and high-quality execution, this guy turned $2,000 into $132,356 in 4 months of trading

VALIX

49,663 просмотров • 10 дней назад

My ex said "you'll never make real money on that Polymarket thing" I told my OpenClaw: "turn $100 into $5,000 on weather markets or I'm uninstalling you forever" It built a weather scanning system in 38 minutes, never asked a single question. The edge was stupid simple. NOAA - $6B federal supercomputer network - publishes 24-48h weather forecasts with 93%+ accuracy. Polymarket temperature buckets are priced by people checking AccuWeather between TikToks. The bot reads NOAA. The market doesn't. Hour 2: cold front warning for Chicago, NOAA gave 94% confidence on 34°F. Polymarket had that bucket at 7¢. Bot loaded up. $100 → $340 Hour 6: NYC heatwave data dropped, 3 temperature buckets were mispriced below 11¢ simultaneously. Bot caught all three before anyone noticed. $340 → $1,120 I use for copytrade bots: Hour 11: Miami humidity spike showed up in NOAA models 4 hours before it hit weather apps. Bot bought 6 buckets across 3 cities at 8-12¢. $1,120 → $2,890 Hour 18: Seattle overnight temperature dropped exactly into the range NOAA predicted 2 days ago. Market was still pricing it at 14¢. Bot ran the same play 12 times across Dallas and Atlanta. $2,890 → $4,460 Hour 23: one trade left. $540 needed. Chicago morning forecast resolved - the bucket bot bought at 7¢ in hour 2 corrected to 52¢. Hour 24: $5,117 It kept its end of the deal, I kept mine. The bot made $230 while she was reading this post.
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My ex said "you'll never make real money on that Polymarket thing" I told my OpenClaw: "turn $100 into $5,000 on weather markets or I'm uninstalling you forever" It built a weather scanning system in 38 minutes, never asked a single question. The edge was stupid simple. NOAA - $6B federal supercomputer network - publishes 24-48h weather forecasts with 93%+ accuracy. Polymarket temperature buckets are priced by people checking AccuWeather between TikToks. The bot reads NOAA. The market doesn't. Hour 2: cold front warning for Chicago, NOAA gave 94% confidence on 34°F. Polymarket had that bucket at 7¢. Bot loaded up. $100 → $340 Hour 6: NYC heatwave data dropped, 3 temperature buckets were mispriced below 11¢ simultaneously. Bot caught all three before anyone noticed. $340 → $1,120 I use for copytrade bots: Hour 11: Miami humidity spike showed up in NOAA models 4 hours before it hit weather apps. Bot bought 6 buckets across 3 cities at 8-12¢. $1,120 → $2,890 Hour 18: Seattle overnight temperature dropped exactly into the range NOAA predicted 2 days ago. Market was still pricing it at 14¢. Bot ran the same play 12 times across Dallas and Atlanta. $2,890 → $4,460 Hour 23: one trade left. $540 needed. Chicago morning forecast resolved - the bucket bot bought at 7¢ in hour 2 corrected to 52¢. Hour 24: $5,117 It kept its end of the deal, I kept mine. The bot made $230 while she was reading this post.

Lunar

72,007 просмотров • 5 месяцев назад

weather trader caled OnlyLuckNoBrain turned $14 into $4,082 on a single weather bet on Polymarket Less than the price of two coffees. Paid out almost 30,000%. And that’s not even the wild part. Watch the video.Almost every position he opens prints 10x or more. $5 becomes $50. $20 becomes $300. $14 becomes $4,082. This isn’t one lucky win. He’s run this exact pattern 9,550 times in two months. Started with $100. Now up $18,000. Pulling in around $287 a day off weather forecasts. Profile: He only trades four cities. Seattle. Tokyo. Los Angeles. London. Nothing else. No sports. No elections. No crypto. Just whether the sky will be wet or dry tomorrow. Half of crypto Twitter is screaming about Bitcoin charts and price targets. Meanwhile this guy is quietly printing 10x returns on weather apps. And here’s why nobody else is doing it. It’s boring. Nobody wants to trade rain forecasts. So the prices stay sloppy. No serious money will touch a market this unsexy. He’s the only one in the room. You can copy his bet via Ares TG bot:
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weather trader caled OnlyLuckNoBrain turned $14 into $4,082 on a single weather bet on Polymarket Less than the price of two coffees. Paid out almost 30,000%. And that’s not even the wild part. Watch the video.Almost every position he opens prints 10x or more. $5 becomes $50. $20 becomes $300. $14 becomes $4,082. This isn’t one lucky win. He’s run this exact pattern 9,550 times in two months. Started with $100. Now up $18,000. Pulling in around $287 a day off weather forecasts. Profile: He only trades four cities. Seattle. Tokyo. Los Angeles. London. Nothing else. No sports. No elections. No crypto. Just whether the sky will be wet or dry tomorrow. Half of crypto Twitter is screaming about Bitcoin charts and price targets. Meanwhile this guy is quietly printing 10x returns on weather apps. And here’s why nobody else is doing it. It’s boring. Nobody wants to trade rain forecasts. So the prices stay sloppy. No serious money will touch a market this unsexy. He’s the only one in the room. You can copy his bet via Ares TG bot:

AdiiX

14,879 просмотров • 2 месяцев назад

every polymarket bot is based on this formula the kelly criterion f = (p - m) / (1 - m) p = your true probability m = current market price simple rule, but it works on distance you think edge is about picking winners but the real game is position sizing here's how it works: bot identifies edge: calculates true probability vs market price example flow: bot sees market at 50c (m), calculates real probability at 60% (p) math is simple: edge / remaining upside (0.60 - 0.50) / (1.00 - 0.50) 0.10 / 0.50 = 0.20 kelly says allocate 20% of current capital bot uses quarter kelly for safety = 5% allocation position opens automatically at optimal size as bankroll grows, position sizes scale up proportionally as bankroll shrinks, positions scale down to preserve capital bots are actually destroying manual traders humans can't make calculations instantly bots can the formula ensures maximum growth without risking ruin position sizing adjusts dynamically to current capital this is the foundation of every serious automated strategy
0:31

every polymarket bot is based on this formula the kelly criterion f = (p - m) / (1 - m) p = your true probability m = current market price simple rule, but it works on distance you think edge is about picking winners but the real game is position sizing here's how it works: bot identifies edge: calculates true probability vs market price example flow: bot sees market at 50c (m), calculates real probability at 60% (p) math is simple: edge / remaining upside (0.60 - 0.50) / (1.00 - 0.50) 0.10 / 0.50 = 0.20 kelly says allocate 20% of current capital bot uses quarter kelly for safety = 5% allocation position opens automatically at optimal size as bankroll grows, position sizes scale up proportionally as bankroll shrinks, positions scale down to preserve capital bots are actually destroying manual traders humans can't make calculations instantly bots can the formula ensures maximum growth without risking ruin position sizing adjusts dynamically to current capital this is the foundation of every serious automated strategy

ramper

68,906 просмотров • 6 месяцев назад

This guy is either a meteorologist or a vibecoder He constantly turns $10, $20, $50 into THOUSANDS So what’s the secret? > Weather API tracking bot OR > Deep knowledge in meteorology Here's how he turned $200 LOSS into $18k PROFIT: Devs take public forecast APIs, connect them to any notification system and spot temperature shifts first. The most advanced ones even make AI predict those shifts minutes earlier. So you get moments where Polymarket odds are priced at 1-10%, while the real probability is closer to 80%. That gap is the entire edge. They’re literally buying mispriced reality. That's why you so many closed deals with 1,000%+ PnL. His daily list: > Scan markets nonstop > Match odds vs external forecasts > Buy cheap and hold until resolution Position sizes are small, usually $50-$100 per bet. This is why even after losing a few bets he's still up by thousands. Most likely he found this inefficiency months ago and has been quietly using it while others ignore it. And that’s the funny part cause these markets are pure GOLD. Anyone with real-world knowledge outside crypto or the ability to code a half-decent bot has a massive edge. Competition is tiny. Liquidity is lazy. Most people just bet on the obvious outcome. This guy either tracks sudden probability shifts with alerts or spots them manually before the crowd reacts. Either way, he proves two things: > Polymarket is way bigger than people think. > Prediction markets are still insanely early. Edges like this shouldn’t survive for months. But they do. His profile link: [ Btw, he has a 55% win rate and only bets small amounts, which makes him a decent copy-trading target. Just make sure you bet small too. Otherwise, you’ll get punished.
0:54

This guy is either a meteorologist or a vibecoder He constantly turns $10, $20, $50 into THOUSANDS So what’s the secret? > Weather API tracking bot OR > Deep knowledge in meteorology Here's how he turned $200 LOSS into $18k PROFIT: Devs take public forecast APIs, connect them to any notification system and spot temperature shifts first. The most advanced ones even make AI predict those shifts minutes earlier. So you get moments where Polymarket odds are priced at 1-10%, while the real probability is closer to 80%. That gap is the entire edge. They’re literally buying mispriced reality. That's why you so many closed deals with 1,000%+ PnL. His daily list: > Scan markets nonstop > Match odds vs external forecasts > Buy cheap and hold until resolution Position sizes are small, usually $50-$100 per bet. This is why even after losing a few bets he's still up by thousands. Most likely he found this inefficiency months ago and has been quietly using it while others ignore it. And that’s the funny part cause these markets are pure GOLD. Anyone with real-world knowledge outside crypto or the ability to code a half-decent bot has a massive edge. Competition is tiny. Liquidity is lazy. Most people just bet on the obvious outcome. This guy either tracks sudden probability shifts with alerts or spots them manually before the crowd reacts. Either way, he proves two things: > Polymarket is way bigger than people think. > Prediction markets are still insanely early. Edges like this shouldn’t survive for months. But they do. His profile link: [ Btw, he has a 55% win rate and only bets small amounts, which makes him a decent copy-trading target. Just make sure you bet small too. Otherwise, you’ll get punished.

Dexter's Lab

35,128 просмотров • 7 месяцев назад

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.
0:23

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.

Recogard

14,162 просмотров • 2 месяцев назад

my 16 year old brother read this article on a tuesday night wednesday morning he opened checked the NOAA forecast for NYC: 43 degrees checked polymarket: "40-45 range" priced at $0.15 NOAA accuracy: 93%. market says 15%. somebody is very wrong he bought 200 shares at $0.15 next day temperature: 43 degrees shares resolved at $1.00 $0.15 to $1.00. 567% return. one trade. one weather forecast he didn't stop day 1: NYC weather. $170 profit day 3: London temperature. $94 day 5: Chicago high. $210 day 8: Seoul forecast. $147 day 12: back to NYC. $320 he built a routine: 7:00 AM check NOAA 7:02 AM compare with polymarket 7:03 AM buy if divergence > 30% go to school by week 6: starting capital: $400 - birthday money balance: $8,740 trades: 312 win rate: 87.4% avg profit per trade: $26.70 time per day: 3 minutes before school NOAA updates forecasts 9-15 minutes before polymarket adjusts $6 billion government supercomputer vs teenagers checking weather between tiktoks he has made more in 6 weeks than his teacher makes in 2 months the data is free. NOAA is a government website. public. updated hourly the formula is 5th grade math: EV = (0.93 x $1.00) - $0.15 = $0.78 78 cents per share on the best setups my brother doesn't know what LMSR is doesn't know what softmax is doesn't know what a neural network is he knows one thing: NOAA is right 93% of the time and polymarket hasn't figured that out yet i spent 3 months writing 4,000 lines of Rust he checks for 3 minutes and goes to school 16 years old. $8,740. 3 minutes a day. one government website what free public data source are you not checking?
0:58

my 16 year old brother read this article on a tuesday night wednesday morning he opened checked the NOAA forecast for NYC: 43 degrees checked polymarket: "40-45 range" priced at $0.15 NOAA accuracy: 93%. market says 15%. somebody is very wrong he bought 200 shares at $0.15 next day temperature: 43 degrees shares resolved at $1.00 $0.15 to $1.00. 567% return. one trade. one weather forecast he didn't stop day 1: NYC weather. $170 profit day 3: London temperature. $94 day 5: Chicago high. $210 day 8: Seoul forecast. $147 day 12: back to NYC. $320 he built a routine: 7:00 AM check NOAA 7:02 AM compare with polymarket 7:03 AM buy if divergence > 30% go to school by week 6: starting capital: $400 - birthday money balance: $8,740 trades: 312 win rate: 87.4% avg profit per trade: $26.70 time per day: 3 minutes before school NOAA updates forecasts 9-15 minutes before polymarket adjusts $6 billion government supercomputer vs teenagers checking weather between tiktoks he has made more in 6 weeks than his teacher makes in 2 months the data is free. NOAA is a government website. public. updated hourly the formula is 5th grade math: EV = (0.93 x $1.00) - $0.15 = $0.78 78 cents per share on the best setups my brother doesn't know what LMSR is doesn't know what softmax is doesn't know what a neural network is he knows one thing: NOAA is right 93% of the time and polymarket hasn't figured that out yet i spent 3 months writing 4,000 lines of Rust he checks for 3 minutes and goes to school 16 years old. $8,740. 3 minutes a day. one government website what free public data source are you not checking?

self.dll

401,336 просмотров • 5 месяцев назад

Yesterday I was at dinner with my girlfriend and she asked what I do for money. I told her I bet $15 on the temperature in Dallas and collect $80. Every day. She laughed. Then I showed her my balance. $1,400 in one month. She stopped laughing and started asking questions. She laughed because it sounds insane. Betting on temperature is something a crazy person says at a party. But I opened Polymarket on my phone and scrolled through the history. Everything green. Every line a win. Dallas above 72°F, won, +$63. Rain in Buenos Aires before Thursday, won, +$41. She put her fork down. Wait. For weather? Every day. Is this even legal? I told her it is easier to show than explain. After dinner we went to my place. I opened the laptop. The terminal loaded. The globe started spinning, green dots where weather stations are, numbers updating in real time. She leaned in and did not get up for 40 minutes. What am I looking at? 12 weather stations. Temperature to the tenth of a degree. Pressure. Cloud cover. Updated every one to three hours. Before any weather app. Before any forecast. She asked how it works. Weather apps use forecast models that update slowly. The stations give raw readings right now. Sometimes the app says 72. The station already shows 68. That gap is money. I showed her yesterday's trade. iPhone said 72°F in Dallas. Station said 68. I bet $15 that the app was wrong. Morning came. Dallas: 67. Payout: $80. She was quiet for a moment. Then she asked if she could try. I opened a market for London temperature tomorrow. She looked at the station data, looked at the market price, and put $5 on under. Now what? Now we sleep. Tomorrow morning you check. She texted me at 7 AM. I made $22. What else can I bet on? → The wallet behind the terminal: Next morning she deleted her weather app. I asked why. Why would I need a free app when I can use a paid one.
0:48

Yesterday I was at dinner with my girlfriend and she asked what I do for money. I told her I bet $15 on the temperature in Dallas and collect $80. Every day. She laughed. Then I showed her my balance. $1,400 in one month. She stopped laughing and started asking questions. She laughed because it sounds insane. Betting on temperature is something a crazy person says at a party. But I opened Polymarket on my phone and scrolled through the history. Everything green. Every line a win. Dallas above 72°F, won, +$63. Rain in Buenos Aires before Thursday, won, +$41. She put her fork down. Wait. For weather? Every day. Is this even legal? I told her it is easier to show than explain. After dinner we went to my place. I opened the laptop. The terminal loaded. The globe started spinning, green dots where weather stations are, numbers updating in real time. She leaned in and did not get up for 40 minutes. What am I looking at? 12 weather stations. Temperature to the tenth of a degree. Pressure. Cloud cover. Updated every one to three hours. Before any weather app. Before any forecast. She asked how it works. Weather apps use forecast models that update slowly. The stations give raw readings right now. Sometimes the app says 72. The station already shows 68. That gap is money. I showed her yesterday's trade. iPhone said 72°F in Dallas. Station said 68. I bet $15 that the app was wrong. Morning came. Dallas: 67. Payout: $80. She was quiet for a moment. Then she asked if she could try. I opened a market for London temperature tomorrow. She looked at the station data, looked at the market price, and put $5 on under. Now what? Now we sleep. Tomorrow morning you check. She texted me at 7 AM. I made $22. What else can I bet on? → The wallet behind the terminal: Next morning she deleted her weather app. I asked why. Why would I need a free app when I can use a paid one.

Blaze

97,070 просмотров • 6 месяцев назад

What’s the point of grinding 9–5 if you can make $500k just tracking Elon’s tweets? That’s probably what this trader realized 3 months ago. Since then: • 1,400 trades • 82% win rate • All on Polymarket So what’s the edge? If you look at his history, most positions are closed before resolution. He buys ultra-low probability outcomes at 1–5%, then sells them later at 5–10%, locking in 2x–3x returns. Why does this work? At the start of a tweet-count market, Elon has posted nothing. Low tweet totals look “impossible” — so they’re priced cheap. But once he starts tweeting actively, those previously “unlikely” numbers suddenly become realistic. Prices spike. Instead of holding to resolution, he places limit sells into that spike. No waiting. No final outcome risk. He’s not predicting. He’s flipping inflated odds to traders who hold till the end. Simple concept. Clean execution. Profile: Copytrade - Full copy-trading breakdown below.
0:58

What’s the point of grinding 9–5 if you can make $500k just tracking Elon’s tweets? That’s probably what this trader realized 3 months ago. Since then: • 1,400 trades • 82% win rate • All on Polymarket So what’s the edge? If you look at his history, most positions are closed before resolution. He buys ultra-low probability outcomes at 1–5%, then sells them later at 5–10%, locking in 2x–3x returns. Why does this work? At the start of a tweet-count market, Elon has posted nothing. Low tweet totals look “impossible” — so they’re priced cheap. But once he starts tweeting actively, those previously “unlikely” numbers suddenly become realistic. Prices spike. Instead of holding to resolution, he places limit sells into that spike. No waiting. No final outcome risk. He’s not predicting. He’s flipping inflated odds to traders who hold till the end. Simple concept. Clean execution. Profile: Copytrade - Full copy-trading breakdown below.

Discover

11,551 просмотров • 6 месяцев назад

Found a NEW 15-min Polymarket legend. 13 predictions. Almost 100% win rate. $124,837 PnL in TWO DAYS. And yet, he's still under the radar. Most people will call him lucky, but that's WRONG. Here's how he doubles his money on every trade: It's NOT a bot farming a 3% spread. And it's NOT a Claude code tracking exchanges. His whle strategy is based on TA with real-time monitoring. He enters positions at 50/50 odds only. So it's either double or nothing EVERY TIME. When spot price jumps in the first minutes, anyone can still buy the winning side while odds lag. It's not a secret that there's a small gap between price shifts and odds changes. This guy probably mastered these mechanics. He makes 5-6 trades per day. And keeps Win Rate over 85% still. His profile: [ This guy might be a perfect start for copy traders. Not so many people noticed him so far (only 700 views). I will keep an eye on him for a few more days before following him. Maybe he'll print for me as well soon.
0:50

Found a NEW 15-min Polymarket legend. 13 predictions. Almost 100% win rate. $124,837 PnL in TWO DAYS. And yet, he's still under the radar. Most people will call him lucky, but that's WRONG. Here's how he doubles his money on every trade: It's NOT a bot farming a 3% spread. And it's NOT a Claude code tracking exchanges. His whle strategy is based on TA with real-time monitoring. He enters positions at 50/50 odds only. So it's either double or nothing EVERY TIME. When spot price jumps in the first minutes, anyone can still buy the winning side while odds lag. It's not a secret that there's a small gap between price shifts and odds changes. This guy probably mastered these mechanics. He makes 5-6 trades per day. And keeps Win Rate over 85% still. His profile: [ This guy might be a perfect start for copy traders. Not so many people noticed him so far (only 700 views). I will keep an eye on him for a few more days before following him. Maybe he'll print for me as well soon.

Dexter's Lab

37,059 просмотров • 6 месяцев назад

You know NOTHING about arbitrage. If you watch sport or crypto markets, you already LOST. This guy makes $30k / month on weather markets. Because there's NO COMPETITION. His bot is trading every market AUTOMATICALLY. Here's how he applied the strategy from my article: His script identifies weather markets with spreads. And the best part is that almost each of them has it. Why? Because of low liquidity. This trader used one simple formula to trade those markets: Buy YES if P_model > P_market + T Buy NO if P_model < P_market − T So each time he's buying two outcomes at the same time. And wins. Check his last trade: It looks like he turned $200 into $6,000+ by betting on 0.2% outcome. But here's the real math: He he bought his YES shares at $0.002. At the same time he bought NO side at $0.994. The spread was tiny, just $0.004. That's why his actual profit is not $6k. He lost his NO position (-$6,072k) and won on YES side (+$6,172k). So his actual profit is just $100. His profile: He’s not betting on temperature. He’s buying a mispriced binary pair. If both sides together cost less than $1, the payout at resolution is $1. Most people try to be right. He just makes sure the math can’t be wrong. That's why you always have to double check everything. Details show the full picture.
0:57

You know NOTHING about arbitrage. If you watch sport or crypto markets, you already LOST. This guy makes $30k / month on weather markets. Because there's NO COMPETITION. His bot is trading every market AUTOMATICALLY. Here's how he applied the strategy from my article: His script identifies weather markets with spreads. And the best part is that almost each of them has it. Why? Because of low liquidity. This trader used one simple formula to trade those markets: Buy YES if P_model > P_market + T Buy NO if P_model < P_market − T So each time he's buying two outcomes at the same time. And wins. Check his last trade: It looks like he turned $200 into $6,000+ by betting on 0.2% outcome. But here's the real math: He he bought his YES shares at $0.002. At the same time he bought NO side at $0.994. The spread was tiny, just $0.004. That's why his actual profit is not $6k. He lost his NO position (-$6,072k) and won on YES side (+$6,172k). So his actual profit is just $100. His profile: He’s not betting on temperature. He’s buying a mispriced binary pair. If both sides together cost less than $1, the payout at resolution is $1. Most people try to be right. He just makes sure the math can’t be wrong. That's why you always have to double check everything. Details show the full picture.

Oracle Boar

61,326 просмотров • 6 месяцев назад

This trader used Claude to build a Quant Bot and made +$201,747 on Polymarket 42,429 predictions in 55 days with a 47% win rate How is this account bringing in about $3,668 per day? The logic is simple: 1. It moves through short crypto “Up / Down” markets at roughly 32 trades per hour 2. It can establish one side first, wait for the probabilities to change, and add the opposite outcome later when that creates a stronger hedge 3. The bot then shifts exposure as new signals appear instead of remaining tied to its original position This trader’s Polymarket account: mo-money Most profitable trades: $1,642 → $3,531 (+$1,889 +115.1%) $773 → $2,588 (+$1,816 +235.0%) $517 → $2,203 (+$1,686 +326.2%) A 47% win rate is enough when the system keeps the stronger outcomes larger than the losing ones across tens of thousands of entries
0:25

This trader used Claude to build a Quant Bot and made +$201,747 on Polymarket 42,429 predictions in 55 days with a 47% win rate How is this account bringing in about $3,668 per day? The logic is simple: 1. It moves through short crypto “Up / Down” markets at roughly 32 trades per hour 2. It can establish one side first, wait for the probabilities to change, and add the opposite outcome later when that creates a stronger hedge 3. The bot then shifts exposure as new signals appear instead of remaining tied to its original position This trader’s Polymarket account: mo-money Most profitable trades: $1,642 → $3,531 (+$1,889 +115.1%) $773 → $2,588 (+$1,816 +235.0%) $517 → $2,203 (+$1,686 +326.2%) A 47% win rate is enough when the system keeps the stronger outcomes larger than the losing ones across tens of thousands of entries

Daniro

27,328 просмотров • 22 дней назад

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.
0:14

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,799 просмотров • 4 месяцев назад