Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

A Polymarket trader made $53,000 using free NASA weather data. Monitors NOAA, AccuWeather & Open-Meteo simultaneously. Buys NO at 99.9 cents. Flips to YES when all three APIs agrees Data is free. APIs are free. Nobody else was looking.

0xMarioNawfal

256,352 subscribers

103,027 просмотров • 3 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

one npm package replaced the entire stack of paid crypto data APIs. 42,100 stars. javascript + python + php + c# + go. one interface to 108 exchanges. ohlcv, orderbooks, order execution - all through the same methods. cryptocompare api: $79-499/mo. coingecko pro: $129-499/mo. coinapi: $79-7,499/mo. all of them resell you data you can pull directly from the exchanges for free. ccxt just did it. for you. for every exchange at once. under MIT. every second open-source crypto bot in this list is built on top of ccxt. including freqtrade. including half of polymarket bots through web3 wrappers. if you're paying for crypto data - you're paying because someone read the exchange docs before you did.

one npm package replaced the entire stack of paid crypto data APIs. 42,100 stars. javascript + python + php + c# + go. one interface to 108 exchanges. ohlcv, orderbooks, order execution - all through the same methods. cryptocompare api: $79-499/mo. coingecko pro: $129-499/mo. coinapi: $79-7,499/mo. all of them resell you data you can pull directly from the exchanges for free. ccxt just did it. for you. for every exchange at once. under MIT. every second open-source crypto bot in this list is built on top of ccxt. including freqtrade. including half of polymarket bots through web3 wrappers. if you're paying for crypto data - you're paying because someone read the exchange docs before you did.

zostaff

21,013 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?

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 • 3 месяцев назад

Here is an open-source tool to generate a complete dataset. 1. Describe the data you want 2. An orchestrator agent searches the web 3. Sub-agents run in parallel to fetch the data 4. You get a structured dataset you can download For example, you can run Bigset with the query "all leica lenses being sold on amazon", or "leica stores in kyoto with their opening hours and ratings". Bigset uses TinyFish's free Search and Fetch APIs in the background. You can configure it to refresh the data on a schedule. You can self-host it with your own keys. Here is the GitHub repository: You can get free TinyFish API keys here: Thanks to the TinyFish team for partnering with me on this post.

Here is an open-source tool to generate a complete dataset. 1. Describe the data you want 2. An orchestrator agent searches the web 3. Sub-agents run in parallel to fetch the data 4. You get a structured dataset you can download For example, you can run Bigset with the query "all leica lenses being sold on amazon", or "leica stores in kyoto with their opening hours and ratings". Bigset uses TinyFish's free Search and Fetch APIs in the background. You can configure it to refresh the data on a schedule. You can self-host it with your own keys. Here is the GitHub repository: You can get free TinyFish API keys here: Thanks to the TinyFish team for partnering with me on this post.

Santiago

20,744 просмотров • 1 месяц назад

$2,160,000 from a village with no internet he learned to trade weather markets before he had stable wifi while professional meteorologists were collecting salaries he was beating them with a bot and open-source data This’s his wallet: grew up with nothing, figured out everything here's what the numbers look like: > 2,711 predictions since January 2024 > 73% winrate, #18 overall on Polymarket > $288,770 pure profit from weather markets alone > biggest single win: $12,100,000 he doesn't have a Bloomberg terminal he doesn't have a meteorology degree he has open weather APIs, a systematic edge, and zero emotions $2.16M net is what happens when a kid from nowhere understands probability better than the crowd bookmarked and learn bookmarked and learn

$2,160,000 from a village with no internet he learned to trade weather markets before he had stable wifi while professional meteorologists were collecting salaries he was beating them with a bot and open-source data This’s his wallet: grew up with nothing, figured out everything here's what the numbers look like: > 2,711 predictions since January 2024 > 73% winrate, #18 overall on Polymarket > $288,770 pure profit from weather markets alone > biggest single win: $12,100,000 he doesn't have a Bloomberg terminal he doesn't have a meteorology degree he has open weather APIs, a systematic edge, and zero emotions $2.16M net is what happens when a kid from nowhere understands probability better than the crowd bookmarked and learn bookmarked and learn

wast3

12,965 просмотров • 1 месяц назад

someone lost $527k on polymarket today trying to arb a resolved market strategy announced they sold BTC the YES market was still open at 80c looked like free money polymarket rule: bets placed after public announcement = void or loss. he didn't know. put in half a million someone else made $35k on the same market just knowing saylor never sells two trades. one market. different homework winner: loser:

someone lost $527k on polymarket today trying to arb a resolved market strategy announced they sold BTC the YES market was still open at 80c looked like free money polymarket rule: bets placed after public announcement = void or loss. he didn't know. put in half a million someone else made $35k on the same market just knowing saylor never sells two trades. one market. different homework winner: loser:

0xbobaa

221,279 просмотров • 1 месяц назад

Mike Rowe says he visited a Texas data center and met three “debt-free” electricians under 30 making “north of $240,000/year.” All three have been “poached” three times in the last 18 months because the demand for electricians is crazy high. ROWE: “I was in Plano, Texas… got a tour of a data center.” “I ran into three electricians, all under 30, all making north of 240 grand a year, all debt-free.” “Now here’s the craziest part. All three had been poached three times in the prior 18 months.” “The shortages are so acute that the companies don’t have time to train. They have to poach.” “Great news for an electrician. But it’s a little weird for the economy overall.”

Mike Rowe says he visited a Texas data center and met three “debt-free” electricians under 30 making “north of $240,000/year.” All three have been “poached” three times in the last 18 months because the demand for electricians is crazy high. ROWE: “I was in Plano, Texas… got a tour of a data center.” “I ran into three electricians, all under 30, all making north of 240 grand a year, all debt-free.” “Now here’s the craziest part. All three had been poached three times in the prior 18 months.” “The shortages are so acute that the companies don’t have time to train. They have to poach.” “Great news for an electrician. But it’s a little weird for the economy overall.”

The Vigilant Fox 🦊

3,835,200 просмотров • 8 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.

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 • 4 месяцев назад

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?

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 • 2 месяцев назад

My girlfriend said "you've been staring at that Polymarket screen for 6 hours" I turned the laptop around She went quiet That screen had $4,100 more than when I started $150 → $38,700 in 31 days 4 agents running on a $400 laptop, no breaks, no sleep: Agent-01 WEATHER: Pulls NOAA forecast grids every 10 minutes Finds cities where federal models say 92% but Polymarket says 50% Buys at 8¢, exits at 50¢+ Agent-02 BTC 5min/15min: Tracks Binance spread vs Polymarket CLOB Enters when the gap hits 3%+ Closes before resolution Agent-03 POLITICS: Scrapes polling data and sentiment shifts Flags contracts lagging behind real movement Enters before the crowd reprices Agent-04 SPORTS: Reads injury reports and line movement Finds mispriced live markets Executes via EIP-712 on Polygon The edge is embarrassingly simple NOAA has a $6.5 billion supercomputer Retail prices weather contracts off vibes and weather apps That's not a fair fight That's federal science vs guessing Chicago - NOAA says 92% chance of rain Polymarket contract sitting at 8¢ 6x return on public data 28 trades across 6 cities in one night 2,900+ trades 91% win rate $38,700 from $150 Agent-01: NOAA grid update received. 3 new mispricings detected. executing... Agent-02: BTC spread widened to 4.1%. entering 15min YES at 42¢ Agent-03: sentiment shift on midterm contract. buying NO at 11¢ Agent-04: injury report confirmed. line moving. entering at 23¢ She still doesn't understand what's on the screen She doesn't need to

My girlfriend said "you've been staring at that Polymarket screen for 6 hours" I turned the laptop around She went quiet That screen had $4,100 more than when I started $150 → $38,700 in 31 days 4 agents running on a $400 laptop, no breaks, no sleep: Agent-01 WEATHER: Pulls NOAA forecast grids every 10 minutes Finds cities where federal models say 92% but Polymarket says 50% Buys at 8¢, exits at 50¢+ Agent-02 BTC 5min/15min: Tracks Binance spread vs Polymarket CLOB Enters when the gap hits 3%+ Closes before resolution Agent-03 POLITICS: Scrapes polling data and sentiment shifts Flags contracts lagging behind real movement Enters before the crowd reprices Agent-04 SPORTS: Reads injury reports and line movement Finds mispriced live markets Executes via EIP-712 on Polygon The edge is embarrassingly simple NOAA has a $6.5 billion supercomputer Retail prices weather contracts off vibes and weather apps That's not a fair fight That's federal science vs guessing Chicago - NOAA says 92% chance of rain Polymarket contract sitting at 8¢ 6x return on public data 28 trades across 6 cities in one night 2,900+ trades 91% win rate $38,700 from $150 Agent-01: NOAA grid update received. 3 new mispricings detected. executing... Agent-02: BTC spread widened to 4.1%. entering 15min YES at 42¢ Agent-03: sentiment shift on midterm contract. buying NO at 11¢ Agent-04: injury report confirmed. line moving. entering at 23¢ She still doesn't understand what's on the screen She doesn't need to

rari

166,409 просмотров • 4 месяцев назад

I just found a Polymarket trader who made over 500 trades with a 98% win rate… He started with just $10 and turned it into more than $18,000 in only 3 months. Here’s how he trades: > He focuses only on weather markets. > He usually enters positions at 40–60% probability and still wins. > Most likely, he uses airport weather data or aviation observations like METAR + SPECI to get the latest actual temperature data. > He keeps the same bet size for every trade, no gambling. Some of his recent trades: > Wellington: entered with only $8 and turned it into $243 > Buenos Aires: from $12 to $140 > Tokyo: from $43 to $297 All his current positions: I found this trader using this custom Live Trades filter: > Weather markets only > Bots excluded > Traders with >$10k Pnl only > Win rate >90% He is one of the most successful weather traders I have ever seen on Polymarket.

I just found a Polymarket trader who made over 500 trades with a 98% win rate… He started with just $10 and turned it into more than $18,000 in only 3 months. Here’s how he trades: > He focuses only on weather markets. > He usually enters positions at 40–60% probability and still wins. > Most likely, he uses airport weather data or aviation observations like METAR + SPECI to get the latest actual temperature data. > He keeps the same bet size for every trade, no gambling. Some of his recent trades: > Wellington: entered with only $8 and turned it into $243 > Buenos Aires: from $12 to $140 > Tokyo: from $43 to $297 All his current positions: I found this trader using this custom Live Trades filter: > Weather markets only > Bots excluded > Traders with >$10k Pnl only > Win rate >90% He is one of the most successful weather traders I have ever seen on Polymarket.

Recogard

13,334 просмотров • 1 месяц назад

My dad told me to get a real job instead of "Polymarket betting" Last month I made more than his annual salary. On weather markets. On Polymarket. He hasn't mentioned the job thing since. Here's exactly what happened: NOAA isn't the weather app on your phone. It's a federal supercomputer - satellites, ocean buoys, Doppler radar - running atmospheric models 24/7 for 40+ years. 48-hour forecast accuracy: above 93%. Meanwhile Polymarket weather markets are priced by people checking AccuWeather between TikToks. That gap between federal science and retail guessing - that's the profit. I'm use for copytrade bots: Chicago, Friday: NOAA gives 92% confidence hitting 71°F. Polymarket has that bucket at 8¢. The bot catches it in seconds. Buys at 8¢ → NOAA is right → market corrects to 49¢ → sells. 6x return. On weather. No prediction needed. I put in $150 and left my laptop on the kitchen table. Came back to 28 trades executed across 6 cities. NYC, Dallas, Miami, Seattle, Atlanta, Chicago - scanning every 2 minutes for wherever a weather app disagrees with a supercomputer. Simple rules: Only buys below 15¢ Only sells above 45¢ Never more than $2 per position This isn't trading. It's arbitrage between people with a phone and people with a $6 billion satellite network. 2,900+ trades 91% win rate +$38,700 in one month starting from $150 My dad still thinks I should get a real job. The bot made $847 while I was having that conversation with him.

My dad told me to get a real job instead of "Polymarket betting" Last month I made more than his annual salary. On weather markets. On Polymarket. He hasn't mentioned the job thing since. Here's exactly what happened: NOAA isn't the weather app on your phone. It's a federal supercomputer - satellites, ocean buoys, Doppler radar - running atmospheric models 24/7 for 40+ years. 48-hour forecast accuracy: above 93%. Meanwhile Polymarket weather markets are priced by people checking AccuWeather between TikToks. That gap between federal science and retail guessing - that's the profit. I'm use for copytrade bots: Chicago, Friday: NOAA gives 92% confidence hitting 71°F. Polymarket has that bucket at 8¢. The bot catches it in seconds. Buys at 8¢ → NOAA is right → market corrects to 49¢ → sells. 6x return. On weather. No prediction needed. I put in $150 and left my laptop on the kitchen table. Came back to 28 trades executed across 6 cities. NYC, Dallas, Miami, Seattle, Atlanta, Chicago - scanning every 2 minutes for wherever a weather app disagrees with a supercomputer. Simple rules: Only buys below 15¢ Only sells above 45¢ Never more than $2 per position This isn't trading. It's arbitrage between people with a phone and people with a $6 billion satellite network. 2,900+ trades 91% win rate +$38,700 in one month starting from $150 My dad still thinks I should get a real job. The bot made $847 while I was having that conversation with him.

Lunar

754,106 просмотров • 4 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.

Dexter's Lab

517,264 просмотров • 5 месяцев назад

this Chinese trader started with just $4… and reportedly grew it to $780,000 using AI on Polymarket. this trader on Polymarket with a bot on Claude Opus 4.7 arbitrages sports markets and has already earned $780,000 His profile 0xD9E0: How it’s work: > Fully automated system with no manual intervention. > Analyzes sports prediction markets (especially NBA on Polymarket). > Compares Polymarket prices with traditional sportsbook odds. > Converts odds into implied probabilities and detects mispricings. > Uses arbitrage by buying YES and NO when combined price is under $1. > Generates small but near-risk-free profits (around 1–2%) at high trading volume. AI bots are quietly turning prediction markets into a kind of “money printer.” They find tiny pricing mistakes and exploit them with low-risk, fast arbitrage trades. Each profit is small, but when scaled and repeated at high volume, those small edges can grow into large, even six-figure gains over time. copy him with me using the best tool:

AdiiX

1,640,988 просмотров • 2 месяцев назад

YouTube just made longform creators the biggest winners of 2026. Auto-clipping launches later this year. The platform will use its own retention and rewatch data to generate Shorts from your longform videos automatically. Free distribution. Free reach. Free Shorts views. Here is what almost nobody is connecting. Longform was already S-tier on every 2026 tier list. The RPM was higher. The session time was higher. The trust score was higher. Now YouTube is adding free Shorts on top of it. If you have been running a Shorts-only strategy, you are about to watch longform creators eat your lunch while spending 1/10th the time on production. The 2026 playbook just got even more obvious. One longform a week. Let YouTube clip it. Watch the views compound.

YouTube just made longform creators the biggest winners of 2026. Auto-clipping launches later this year. The platform will use its own retention and rewatch data to generate Shorts from your longform videos automatically. Free distribution. Free reach. Free Shorts views. Here is what almost nobody is connecting. Longform was already S-tier on every 2026 tier list. The RPM was higher. The session time was higher. The trust score was higher. Now YouTube is adding free Shorts on top of it. If you have been running a Shorts-only strategy, you are about to watch longform creators eat your lunch while spending 1/10th the time on production. The 2026 playbook just got even more obvious. One longform a week. Let YouTube clip it. Watch the views compound.

Bryan Ng

69,973 просмотров • 1 месяц назад

I found 3 edges on Polymarket that turned $6,400 into $28,900 in 8 weeks No insider info. No leverage. No luck Just public data that 93% of traders ignore Edge 1: NOAA The US government runs a $6B weather supercomputer Satellites. Ocean buoys. Doppler radar. 40 years of atmospheric models It updates every few minutes Polymarket prices adjust 9-15 minutes later That delay is an arbitrage window NOAA says 84% probability. Market prices it at 12¢ 72-point edge. On a free government API 47 trades. 91% win rate. $11,340 Edge 2: top wallets Top 200 Polymarket wallets have 87% combined win rate and $4.7M in profit I'm use for copytrade bots Gluon: Fighting them is stupid Copying them is not Half-Kelly sizing. 10% max exposure. Auto-execution 134 trades. 84% win rate. $12,680 Edge 3: correlation spreads Polymarket prices correlated contracts independently Two contracts that should move together sometimes diverge 15-20% Short the overpriced one. Long the underpriced one. Convergence does the rest 12 pairs traded. 75% win rate. $4,880 8 weeks. 3 strategies. $6,400 → $28,900 Then I automated everything Now it runs 24/7 on a Python scheduler 4 hours a week to monitor The data is public. The formulas are on Wikipedia. The code runs on any laptop The edge is that nobody bothers to connect the dots

I found 3 edges on Polymarket that turned $6,400 into $28,900 in 8 weeks No insider info. No leverage. No luck Just public data that 93% of traders ignore Edge 1: NOAA The US government runs a $6B weather supercomputer Satellites. Ocean buoys. Doppler radar. 40 years of atmospheric models It updates every few minutes Polymarket prices adjust 9-15 minutes later That delay is an arbitrage window NOAA says 84% probability. Market prices it at 12¢ 72-point edge. On a free government API 47 trades. 91% win rate. $11,340 Edge 2: top wallets Top 200 Polymarket wallets have 87% combined win rate and $4.7M in profit I'm use for copytrade bots Gluon: Fighting them is stupid Copying them is not Half-Kelly sizing. 10% max exposure. Auto-execution 134 trades. 84% win rate. $12,680 Edge 3: correlation spreads Polymarket prices correlated contracts independently Two contracts that should move together sometimes diverge 15-20% Short the overpriced one. Long the underpriced one. Convergence does the rest 12 pairs traded. 75% win rate. $4,880 8 weeks. 3 strategies. $6,400 → $28,900 Then I automated everything Now it runs 24/7 on a Python scheduler 4 hours a week to monitor The data is public. The formulas are on Wikipedia. The code runs on any laptop The edge is that nobody bothers to connect the dots

Lunar

19,855 просмотров • 4 месяцев назад

PREDICTION MARKET RESEARCH JUST GOT KILLED BY ONE .MD FILE. The .md file in the video plugs any AI agent into 1,800 live data sources -> Polymarket orderbooks, satellite imagery, vessel tracking, NOAA weather, SEC filings, sports lines, and the top 100 KOL wallets. It's pref.trade. No APIs, no scraping, no signup and no card. An agent with this installed doesn't ask "What's the price". It pulls the orderbook depth on Polymarket, cross-references vessel positions in the Strait of Hormuz, scans the latest SEC filings on the names mentioned, and watches what the top 100 KOL wallets did in the last 4 hours. Before it makes a single call. The numbers are insane: > $0 in API fees. > $0 in data subscriptions. > 670+ capabilities behind a single endpoint. Every datapoint with full provenance back to the source. The mechanism is wild too: It's called Preference. An MCP server that gives any AI agent structured access to prediction markets -> Polymarket, Kalshi, Hyperliquid, dFlow AND the real-world signals that price them. Your agent asks one question, gets the full picture before it acts. It goes way past Polymarket: Smart-money mirroring on the top 100 wallets in real time. Cross-venue arb scanners and event-driven agents that watch tanker traffic in the Strait of Hormuz and trade oil-linked markets. Backtesting pipelines over historical data plus the world signals that moved each market. The model was never the bottleneck. The data was. One agent, one .md file and Live world data on tap. -> Retail still has 12 CoinGecko tabs open. Agents already have the orderbook. Full info and guide at Don't forget to save.

PREDICTION MARKET RESEARCH JUST GOT KILLED BY ONE .MD FILE. The .md file in the video plugs any AI agent into 1,800 live data sources -> Polymarket orderbooks, satellite imagery, vessel tracking, NOAA weather, SEC filings, sports lines, and the top 100 KOL wallets. It's pref.trade. No APIs, no scraping, no signup and no card. An agent with this installed doesn't ask "What's the price". It pulls the orderbook depth on Polymarket, cross-references vessel positions in the Strait of Hormuz, scans the latest SEC filings on the names mentioned, and watches what the top 100 KOL wallets did in the last 4 hours. Before it makes a single call. The numbers are insane: > $0 in API fees. > $0 in data subscriptions. > 670+ capabilities behind a single endpoint. Every datapoint with full provenance back to the source. The mechanism is wild too: It's called Preference. An MCP server that gives any AI agent structured access to prediction markets -> Polymarket, Kalshi, Hyperliquid, dFlow AND the real-world signals that price them. Your agent asks one question, gets the full picture before it acts. It goes way past Polymarket: Smart-money mirroring on the top 100 wallets in real time. Cross-venue arb scanners and event-driven agents that watch tanker traffic in the Strait of Hormuz and trade oil-linked markets. Backtesting pipelines over historical data plus the world signals that moved each market. The model was never the bottleneck. The data was. One agent, one .md file and Live world data on tap. -> Retail still has 12 CoinGecko tabs open. Agents already have the orderbook. Full info and guide at Don't forget to save.

slash1s

56,778 просмотров • 1 месяц назад

a quant who started as a technical trader explained what changed everything for him he stopped trying to predict where price goes he started measuring the probability of each market state and betting only when the math was asymmetric that shift took him from drawing trendlines to writing models at 22 the realization was simple but brutal: technical analysis gives you a narrative quantitative analysis gives you a number one feels right the other is testable, repeatable, and either works or doesn't across 10,000 trades the setup on his desk tells the whole story no TradingView. no candlestick charts. just code, data, and a terminal he didn't go to MIT he didn't intern at Goldman he learned Python, statistics, and probability theory on his own and built something that actually worked > the math: free in any stats textbook > the data: free on Yahoo Finance, FRED, exchange APIs > the code: Python, 200 lines, running on a laptop > the barrier: not intelligence. just knowing this path exists most people spend years staring at indicators from the 1970s wondering why they can't find consistency the answer was never a better indicator it was a completely different framework one that treats trading as a math problem, not a prediction game full breakdown in the video below

a quant who started as a technical trader explained what changed everything for him he stopped trying to predict where price goes he started measuring the probability of each market state and betting only when the math was asymmetric that shift took him from drawing trendlines to writing models at 22 the realization was simple but brutal: technical analysis gives you a narrative quantitative analysis gives you a number one feels right the other is testable, repeatable, and either works or doesn't across 10,000 trades the setup on his desk tells the whole story no TradingView. no candlestick charts. just code, data, and a terminal he didn't go to MIT he didn't intern at Goldman he learned Python, statistics, and probability theory on his own and built something that actually worked > the math: free in any stats textbook > the data: free on Yahoo Finance, FRED, exchange APIs > the code: Python, 200 lines, running on a laptop > the barrier: not intelligence. just knowing this path exists most people spend years staring at indicators from the 1970s wondering why they can't find consistency the answer was never a better indicator it was a completely different framework one that treats trading as a math problem, not a prediction game full breakdown in the video below

delost

111,986 просмотров • 1 месяц назад

A Python script pulled $325K from the same price gap over and over. It appears every few seconds. This bot catches it first. I found distinct-baguette buried in a leaderboard. Another crypto bot grinding 15 minute windows. Almost closed the tab. Then I saw the win rate. 80%. That is low for a profitable bot. Way too low. Something was off. Turns out I was looking at it wrong. → Account: This bot does not predict anything. Does not care if BTC goes up or down. Does not read charts. Does not time entries. It just watches one thing: prices that do not add up. Sounds weird until you see the trick. Polymarket 15 minute windows have two sides. YES and NO. One of them always pays $1. So YES + NO should always equal $1. That is just math. But when markets move fast, prices slip. YES at 48 cents. NO at 49 cents. Total: 97 cents. The bot sees this. Buys both sides. Waits. Market closes. One side pays $1. Spent 97 cents. Keeps the 3 cent difference. Does not matter who wins. The script checks Polymarket every few seconds. BTC. SOL. XRP. Anything with volume. The moment prices slip under 99 cents combined, it fires. Three cents per trade. Repeat it tens of thousands of times. That is how you get to $325K. The 80% win rate finally made sense. He is not trying to pick winners. He is locking profit before the bet even resolves. Everyone else bets on outcomes. This bot bets on broken math.

A Python script pulled $325K from the same price gap over and over. It appears every few seconds. This bot catches it first. I found distinct-baguette buried in a leaderboard. Another crypto bot grinding 15 minute windows. Almost closed the tab. Then I saw the win rate. 80%. That is low for a profitable bot. Way too low. Something was off. Turns out I was looking at it wrong. → Account: This bot does not predict anything. Does not care if BTC goes up or down. Does not read charts. Does not time entries. It just watches one thing: prices that do not add up. Sounds weird until you see the trick. Polymarket 15 minute windows have two sides. YES and NO. One of them always pays $1. So YES + NO should always equal $1. That is just math. But when markets move fast, prices slip. YES at 48 cents. NO at 49 cents. Total: 97 cents. The bot sees this. Buys both sides. Waits. Market closes. One side pays $1. Spent 97 cents. Keeps the 3 cent difference. Does not matter who wins. The script checks Polymarket every few seconds. BTC. SOL. XRP. Anything with volume. The moment prices slip under 99 cents combined, it fires. Three cents per trade. Repeat it tens of thousands of times. That is how you get to $325K. The 80% win rate finally made sense. He is not trying to pick winners. He is locking profit before the bet even resolves. Everyone else bets on outcomes. This bot bets on broken math.

Marlow

154,272 просмотров • 6 месяцев назад

One Python bot made $316K by finding the same loophole thousands of times. Broken prices appear every few seconds. This bot catches them before anyone else. I found distinct-baguette buried in a leaderboard. Another crypto bot grinding 15-minute windows. Almost closed the tab. Then I saw the win rate. 71%. That is low for a profitable bot. Way too low. Something was off. → Account: Turns out I was looking at it wrong. This bot does not predict anything. Does not care if BTC goes up or down. Does not read charts. Does not time entries. It just watches one thing: prices that do not add up. Sounds weird until you see the trick. Polymarket 15-minute windows have two sides. YES and NO. One of them always pays $1. So YES + NO should always equal $1. That is just math. But when markets move fast, prices slip. YES at 48 cents. NO at 49 cents. Total: 97 cents. The bot sees this. Buys both sides. Waits. Market closes. One side pays $1. He spent 97 cents. Keeps the 3 cent difference. Does not matter who wins. The script checks Polymarket every few seconds. BTC. SOL. XRP. Anything with volume. The moment prices slip under 99 cents combined, it fires. Three cents per trade. Repeat it tens of thousands of times. That is how you get to $316K. The 71% win rate finally made sense. He is not trying to pick winners. He is locking profit before the bet even resolves. Some trades the spread was not wide enough. Does not matter. The edge is in the volume. Everyone else bets on outcomes. This bot bets on broken math.

One Python bot made $316K by finding the same loophole thousands of times. Broken prices appear every few seconds. This bot catches them before anyone else. I found distinct-baguette buried in a leaderboard. Another crypto bot grinding 15-minute windows. Almost closed the tab. Then I saw the win rate. 71%. That is low for a profitable bot. Way too low. Something was off. → Account: Turns out I was looking at it wrong. This bot does not predict anything. Does not care if BTC goes up or down. Does not read charts. Does not time entries. It just watches one thing: prices that do not add up. Sounds weird until you see the trick. Polymarket 15-minute windows have two sides. YES and NO. One of them always pays $1. So YES + NO should always equal $1. That is just math. But when markets move fast, prices slip. YES at 48 cents. NO at 49 cents. Total: 97 cents. The bot sees this. Buys both sides. Waits. Market closes. One side pays $1. He spent 97 cents. Keeps the 3 cent difference. Does not matter who wins. The script checks Polymarket every few seconds. BTC. SOL. XRP. Anything with volume. The moment prices slip under 99 cents combined, it fires. Three cents per trade. Repeat it tens of thousands of times. That is how you get to $316K. The 71% win rate finally made sense. He is not trying to pick winners. He is locking profit before the bet even resolves. Some trades the spread was not wide enough. Does not matter. The edge is in the volume. Everyone else bets on outcomes. This bot bets on broken math.

Blaze

337,995 просмотров • 6 месяцев назад