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A 25% win rate doesn't mean we win every fourth trade. Qullamaggie says he risks 0.2% to 0.5% on most trades. Most of us were taught 1% I ran the same trades at each size, based on his actual long entries.. Biggest drawdown: At 0.25%: 16% At 0.5%: 30%...

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James Muninn

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43,681 просмотров • 4 дней назад •via X (Twitter)

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Weather sniper on Polymarket turned $37 → $15,182 by placing a single bet on the temperature in Hong Kong He buys YES at any price from 0.2¢ tails to 99.9¢ near-resolves wherever the market lags the forecast Forecast says Hong Kong 15°C → 8%. Market prices it at $0.002. He buys Result: $0.002 → $1.00 when it hits = +40,511% return His best trades: $37 → $15,182 (Hong Kong 15°C at 0.2¢, +40,511%) $580 → $2,270 (NYC 56-57°F at 16.8¢, +291%) $3,675 → $5,337 (London 12°C at 99.9¢, +45%) Three trades. Three different prices. All YES. All resolved $1.00 Edge ratio = (1 − q) / q At q = 0.002 → 499× per winning trade At q = 0.168 → 4.95× per trade At q = 0.999 → 0.001× per trade but with 99% hit rate Cornwall edge at 0.2¢. Simons edge at 99.9¢. Most weather traders pick one. HondaCivic runs both $56,504 all-time profit · 4,104 predictions · biggest win $15.1K
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Weather sniper on Polymarket turned $37 → $15,182 by placing a single bet on the temperature in Hong Kong He buys YES at any price from 0.2¢ tails to 99.9¢ near-resolves wherever the market lags the forecast Forecast says Hong Kong 15°C → 8%. Market prices it at $0.002. He buys Result: $0.002 → $1.00 when it hits = +40,511% return His best trades: $37 → $15,182 (Hong Kong 15°C at 0.2¢, +40,511%) $580 → $2,270 (NYC 56-57°F at 16.8¢, +291%) $3,675 → $5,337 (London 12°C at 99.9¢, +45%) Three trades. Three different prices. All YES. All resolved $1.00 Edge ratio = (1 − q) / q At q = 0.002 → 499× per winning trade At q = 0.168 → 4.95× per trade At q = 0.999 → 0.001× per trade but with 99% hit rate Cornwall edge at 0.2¢. Simons edge at 99.9¢. Most weather traders pick one. HondaCivic runs both $56,504 all-time profit · 4,104 predictions · biggest win $15.1K

Alex

12,680 просмотров • 5 месяцев назад

$24,645 net profit on 5-minute Bitcoin markets 3,195 predictions made with a 53% win rate The best trade returned $1,908 from $999 All trades are placed with a fixed size at 50% probability Wallet: 0xe66a771cffa92d41bf85853237fb290dce3c6cff
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$24,645 net profit on 5-minute Bitcoin markets 3,195 predictions made with a 53% win rate The best trade returned $1,908 from $999 All trades are placed with a fixed size at 50% probability Wallet: 0xe66a771cffa92d41bf85853237fb290dce3c6cff

VoidReader

25,705 просмотров • 5 месяцев назад

HondaCivic turned $37 → $15,182 on a Hong Kong temperature bet at 0.2¢ $63,788 P&L. 4,689 trades. Biggest single win: $15,144 He finds the mispricing. He doesn't care if it's at 0.2¢ or 99.9¢ How it works: Most weather quants pick one tick range and camp it. He picks a city, then asks: where is this market wrong? Follow his profile: Sometimes the answer is "0.2¢ on a tail nobody priced" buy and wait for a 500× resolve Sometimes the answer is "99.9¢ on a market that's already resolved in your favor but the order book is asleep" buy a dollar's worth of certainty for 99.9¢ and pocket the difference 4,000 times His winning trades cover the full price spectrum: $37 → $15,182 (Hong Kong 15°C YES at 0.2¢, +40,511%) $3,675 → $5,337 (London 12°C YES at 99.9¢, +45%) $3,703 → $8,759 (London 18°C NO at 42.2¢, +136%) $580 → $2,270 (NYC 56-57°F YES at 16.8¢, +291%) Notice the spread: 0.2¢, 16.8¢, 42.2¢, 99.9¢. Every tick on the order book has a setup He doesn't have a specialty. He has a scanner 4 cities. 4 different price ranges. One simple rule: find the gap, size the bet
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HondaCivic turned $37 → $15,182 on a Hong Kong temperature bet at 0.2¢ $63,788 P&L. 4,689 trades. Biggest single win: $15,144 He finds the mispricing. He doesn't care if it's at 0.2¢ or 99.9¢ How it works: Most weather quants pick one tick range and camp it. He picks a city, then asks: where is this market wrong? Follow his profile: Sometimes the answer is "0.2¢ on a tail nobody priced" buy and wait for a 500× resolve Sometimes the answer is "99.9¢ on a market that's already resolved in your favor but the order book is asleep" buy a dollar's worth of certainty for 99.9¢ and pocket the difference 4,000 times His winning trades cover the full price spectrum: $37 → $15,182 (Hong Kong 15°C YES at 0.2¢, +40,511%) $3,675 → $5,337 (London 12°C YES at 99.9¢, +45%) $3,703 → $8,759 (London 18°C NO at 42.2¢, +136%) $580 → $2,270 (NYC 56-57°F YES at 16.8¢, +291%) Notice the spread: 0.2¢, 16.8¢, 42.2¢, 99.9¢. Every tick on the order book has a setup He doesn't have a specialty. He has a scanner 4 cities. 4 different price ranges. One simple rule: find the gap, size the bet

Alex

12,562 просмотров • 4 месяцев назад

$100 → $15,000 in 7 months on Polymarket - trading temperature in New York Just weather buckets, 65.9% win rate, hundreds of small bets stacked into one of the cleanest PnL curves on the platform He picks one city - New York and one type of market: daily temperature buckets He doesn't chase long-tail 1¢ bets. He enters when the bucket is priced at 50-90¢ and his read says it should be 70-95¢ Small gap, high probability, sized up. Most trades win. The math compounds NYC 60-61°F on April 29 → $841 at 79.4¢ NYC 48°F+ on March 7 → $687 at 56.3¢ NYC 46-47°F on March 15 → $428 at 54.2¢ NYC 70-71°F on May 4 → $404 at 90.6¢ One city. One type of market. Hundreds of small bets On Parity you can track every single trade he makes Profile:
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$100 → $15,000 in 7 months on Polymarket - trading temperature in New York Just weather buckets, 65.9% win rate, hundreds of small bets stacked into one of the cleanest PnL curves on the platform He picks one city - New York and one type of market: daily temperature buckets He doesn't chase long-tail 1¢ bets. He enters when the bucket is priced at 50-90¢ and his read says it should be 70-95¢ Small gap, high probability, sized up. Most trades win. The math compounds NYC 60-61°F on April 29 → $841 at 79.4¢ NYC 48°F+ on March 7 → $687 at 56.3¢ NYC 46-47°F on March 15 → $428 at 54.2¢ NYC 70-71°F on May 4 → $404 at 90.6¢ One city. One type of market. Hundreds of small bets On Parity you can track every single trade he makes Profile:

0xDipper

32,046 просмотров • 5 месяцев назад

$120,863 net profit on 5-minute Bitcoin markets 56,820 predictions made with a 58.0% win rate The best trade brought $2,879 from $295 Most of his positions hit takes at very small percentages in the 1-10% range Wallet: 0xa84edaf1a562eabb463dc6cf4c3e9c407a5edbeb
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$120,863 net profit on 5-minute Bitcoin markets 56,820 predictions made with a 58.0% win rate The best trade brought $2,879 from $295 Most of his positions hit takes at very small percentages in the 1-10% range Wallet: 0xa84edaf1a562eabb463dc6cf4c3e9c407a5edbeb

VoidReader

23,389 просмотров • 6 месяцев назад

A Polymarket tennis trader who is up $72K in sports markets has now opened a position on one of the biggest matches at the US Open His stats at this tournament are impressive → 18 total trades → 11 correct trades → 61% win rate → +$36.6K total profit → avg. position of $7K Today, he made his pick for the Tiafoe x Shelton match: → Ben Shelton to beat Frances Tiafoe at 73¢ | $10.9K This is a pretty confident pick, especially since Shelton has been playing at an unreal level He beat one of the US Open favorites, Carlos Alcaraz, in five sets This shows his character, ability to stay patient, and handle pressure What do you think about this matchup? I know for sure an American will win
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A Polymarket tennis trader who is up $72K in sports markets has now opened a position on one of the biggest matches at the US Open His stats at this tournament are impressive → 18 total trades → 11 correct trades → 61% win rate → +$36.6K total profit → avg. position of $7K Today, he made his pick for the Tiafoe x Shelton match: → Ben Shelton to beat Frances Tiafoe at 73¢ | $10.9K This is a pretty confident pick, especially since Shelton has been playing at an unreal level He beat one of the US Open favorites, Carlos Alcaraz, in five sets This shows his character, ability to stay patient, and handle pressure What do you think about this matchup? I know for sure an American will win

Korens

29,160 просмотров • 1 месяц назад

The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓
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The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓

Movez

1,815,576 просмотров • 6 месяцев назад

FOUND A TRADER WHO MADE $5.6M IN 8 MONTHS AND BROKE DOWN HIS STRATEGY WITH CLAUDE Polymarket has 15,000 traders. 99% blow their deposits. Finding the real ones manually = impossible. I ran Claude across the entire base. 25 minutes later 52 traders with 75%+ win rate. At the top Swisstony. > PNL: $5,604,411. > Starting capital: $5.68. > Total Predictions 82,000 > Biggest Win $711,000 Profile: I dug through his trades. 3 strategies running on repeat: 1. Buy & Hold to Settlement > Volume $494M → net ~$4.96M > Buys at $0.61 → market settles at $1.00 → +$0.39 2. Symmetric Hedging (5,500+ trades) > Buys YES and NO at the same time when sum ↑$0.52 + ↓$0.45 = $0.97 → payout $1.00 = +$0.03 > Median trade Team A: 56.8¢ + Team B: 39.4¢ = 96.2¢ > Payout is always $1.00 → locked +3.8¢, zero risk Started copying these 48 hours ago here: $25 → $560. Just math that works while the market stays inefficient.
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FOUND A TRADER WHO MADE $5.6M IN 8 MONTHS AND BROKE DOWN HIS STRATEGY WITH CLAUDE Polymarket has 15,000 traders. 99% blow their deposits. Finding the real ones manually = impossible. I ran Claude across the entire base. 25 minutes later 52 traders with 75%+ win rate. At the top Swisstony. > PNL: $5,604,411. > Starting capital: $5.68. > Total Predictions 82,000 > Biggest Win $711,000 Profile: I dug through his trades. 3 strategies running on repeat: 1. Buy & Hold to Settlement > Volume $494M → net ~$4.96M > Buys at $0.61 → market settles at $1.00 → +$0.39 2. Symmetric Hedging (5,500+ trades) > Buys YES and NO at the same time when sum ↑$0.52 + ↓$0.45 = $0.97 → payout $1.00 = +$0.03 > Median trade Team A: 56.8¢ + Team B: 39.4¢ = 96.2¢ > Payout is always $1.00 → locked +3.8¢, zero risk Started copying these 48 hours ago here: $25 → $560. Just math that works while the market stays inefficient.

AdiiX

41,956 просмотров • 5 месяцев назад

final killcams on MW2 had slomo imagine the same slomo feature on your trades at pivotal moments. increase the candle granularity to 1 minute to focus on certain events this is Frank's $CATE trade with slomo applied
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final killcams on MW2 had slomo imagine the same slomo feature on your trades at pivotal moments. increase the candle granularity to 1 minute to focus on certain events this is Frank's $CATE trade with slomo applied

Nathan

23,552 просмотров • 1 месяц назад

We had vapor trails coming off the Two-Seater last year! Don’t miss out on your chance to win a ride in the Two-Seater ride this summer! Every $25 you spend at gets you an entry into the drawing! Entries close on 12/31 and the drawing will be held on 1/1
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We had vapor trails coming off the Two-Seater last year! Don’t miss out on your chance to win a ride in the Two-Seater ride this summer! Every $25 you spend at gets you an entry into the drawing! Entries close on 12/31 and the drawing will be held on 1/1

Mark Dobmeier

13,830 просмотров • 3 лет назад

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

Alex

50,837 просмотров • 6 месяцев назад

Right before James Proctor’s massive putt for the win at MVP Open, he seemingly stopped his routine to look down at his wrist. We asked him why and this is what he sent (1/3)
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Right before James Proctor’s massive putt for the win at MVP Open, he seemingly stopped his routine to look down at his wrist. We asked him why and this is what he sent (1/3)

Another Round

31,856 просмотров • 2 лет назад

A Polymarket weather trader turned $6 → $2990 on a single Atlanta temperature bet a 49,744% return in 24 hours He built a system that snipes ultra-rare weather mispricings in the {0.2¢ - 11¢} range before the crowd checks the forecast GFS says Atlanta 38°F → 65% likely. Market prices it at $0.002. He buys Result: $0.002 → $1.00 when it hits = +49,744% return His best trades: $6 → $2,990 (Atlanta 38-39°F at 0.2¢ +49,744%) $40 → $1,871 (NYC 34-35°F at 2¢ +4,578%) $536 → $4,639 (Seattle 52-53°F at 11.6¢ +764%) Trading Bot: > $57,136 all-time profit > 1,504 trades > Biggest win: $4,103 Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘Trade’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)
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A Polymarket weather trader turned $6 → $2990 on a single Atlanta temperature bet a 49,744% return in 24 hours He built a system that snipes ultra-rare weather mispricings in the {0.2¢ - 11¢} range before the crowd checks the forecast GFS says Atlanta 38°F → 65% likely. Market prices it at $0.002. He buys Result: $0.002 → $1.00 when it hits = +49,744% return His best trades: $6 → $2,990 (Atlanta 38-39°F at 0.2¢ +49,744%) $40 → $1,871 (NYC 34-35°F at 2¢ +4,578%) $536 → $4,639 (Seattle 52-53°F at 11.6¢ +764%) Trading Bot: > $57,136 all-time profit > 1,504 trades > Biggest win: $4,103 Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘Trade’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)

Marry Evan

12,425 просмотров • 5 месяцев назад

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

Paone

10,664 просмотров • 5 месяцев назад

A dude who’s up +$125K this week on tennis markets is now holding $250K in open US Open positions Here’s what he’s currently holding: → Jodar to beat Bu - at 90.6¢ | $105K → No on Medvedev to win the 2026 US Open - at 96.9¢ | $71.1K → No on Rybakina to win the 2026 US Open - at 95.8¢ | $49.3K → No on Zverev to win the 2026 US Open - at 80¢ | $31.4K These four positions are worth around $257K combined Most of his money is on No positions, while his biggest bet is on Jodar to beat Bu With the US Open moving fast, these positions could change quickly But his recent results have been very up and down From June to July, his PnL climbed to around $450K Then August 4 happened He lost around $122K in one day, dropping his PnL close to $100K August ended at -$99.5K, even with a 58% win rate But he kept trading A strong second half of August helped him recover, and his PnL is now back around $223K Now he’s back with $250K in open US Open positions Let’s see if he can turn this into another big win
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A dude who’s up +$125K this week on tennis markets is now holding $250K in open US Open positions Here’s what he’s currently holding: → Jodar to beat Bu - at 90.6¢ | $105K → No on Medvedev to win the 2026 US Open - at 96.9¢ | $71.1K → No on Rybakina to win the 2026 US Open - at 95.8¢ | $49.3K → No on Zverev to win the 2026 US Open - at 80¢ | $31.4K These four positions are worth around $257K combined Most of his money is on No positions, while his biggest bet is on Jodar to beat Bu With the US Open moving fast, these positions could change quickly But his recent results have been very up and down From June to July, his PnL climbed to around $450K Then August 4 happened He lost around $122K in one day, dropping his PnL close to $100K August ended at -$99.5K, even with a 58% win rate But he kept trading A strong second half of August helped him recover, and his PnL is now back around $223K Now he’s back with $250K in open US Open positions Let’s see if he can turn this into another big win

Korens

27,081 просмотров • 1 месяц назад

YOUR BOT HAS A 70% WIN RATE AND IS STILL LOSING MONEY. This is more common than you think and the reason is always the same. Most people treat win rate like it's the only number that matters. It's not even close to the full picture. Here's the math nobody is putting together clearly: EV = (p × b) − (1 − p) P is your win probability, b is your payout multiplier. At a 70c entry your payout multiplier is roughly 0.43. That means even at 70% win rate your EV is basically zero. (0.70 × 0.43) − 0.30 = 0.001 You are grinding for fractions of a cent per trade while thinking you have an edge. Now look at what happens when you fix the entry price. Same 70% win rate, entry drops to 50c, payout multiplier jumps to 1.0. (0.70 × 1.0) − 0.30 = 0.40 EV per dollar. Same signal. Same win rate. Completely different business. This is why I keep saying win rate and entry price are one calculation not two. Your AI backtest never runs this math because it only looks at whether you won or lost. It does not care what you paid to enter. The fix is not finding a higher win rate signal, it almost never is. The fix is finding why your high win rate entries keep appearing at prices that make them unprofitable. That upstream reason is your real signal. Dig one layer deeper and build around that instead. I broke down the entry price math before and I broke down DCA before. But without understanding EV you are optimizing the wrong thing entirely. This logic is the only reason how my bot is sitting at $154k PnL. Public wallet: [ Run this formula on your last 100 live trades before you change a single line of signal logic. The answer is probably already there.
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YOUR BOT HAS A 70% WIN RATE AND IS STILL LOSING MONEY. This is more common than you think and the reason is always the same. Most people treat win rate like it's the only number that matters. It's not even close to the full picture. Here's the math nobody is putting together clearly: EV = (p × b) − (1 − p) P is your win probability, b is your payout multiplier. At a 70c entry your payout multiplier is roughly 0.43. That means even at 70% win rate your EV is basically zero. (0.70 × 0.43) − 0.30 = 0.001 You are grinding for fractions of a cent per trade while thinking you have an edge. Now look at what happens when you fix the entry price. Same 70% win rate, entry drops to 50c, payout multiplier jumps to 1.0. (0.70 × 1.0) − 0.30 = 0.40 EV per dollar. Same signal. Same win rate. Completely different business. This is why I keep saying win rate and entry price are one calculation not two. Your AI backtest never runs this math because it only looks at whether you won or lost. It does not care what you paid to enter. The fix is not finding a higher win rate signal, it almost never is. The fix is finding why your high win rate entries keep appearing at prices that make them unprofitable. That upstream reason is your real signal. Dig one layer deeper and build around that instead. I broke down the entry price math before and I broke down DCA before. But without understanding EV you are optimizing the wrong thing entirely. This logic is the only reason how my bot is sitting at $154k PnL. Public wallet: [ Run this formula on your last 100 live trades before you change a single line of signal logic. The answer is probably already there.

Punisher

11,034 просмотров • 3 месяцев назад

New arbitrage meta on Polymarket. Most people do not even know this exists 1 bot just made $357,313 in a single month trading BTC, ETH, SOL and XRP 5-minute markets How it works: he buys YES at 47 cents and NO at 51 cents on the same market. Total cost: 98 cents. 1 side always pays out $1. That is 2 cents profit per trade, risk-free Now multiply that by 2,000+ trades per day His bot finds these spreads automatically, executes in milliseconds, and compounds 24/7 You are still reading charts. He is printing
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New arbitrage meta on Polymarket. Most people do not even know this exists 1 bot just made $357,313 in a single month trading BTC, ETH, SOL and XRP 5-minute markets How it works: he buys YES at 47 cents and NO at 51 cents on the same market. Total cost: 98 cents. 1 side always pays out $1. That is 2 cents profit per trade, risk-free Now multiply that by 2,000+ trades per day His bot finds these spreads automatically, executes in milliseconds, and compounds 24/7 You are still reading charts. He is printing

Blaze

16,990 просмотров • 7 месяцев назад

Most of us can leave the hats and gloves at home on Saturday, but will you need your waterproof coat? Find out by taking a look at the forecast for part 1 of the weekend 👇
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Most of us can leave the hats and gloves at home on Saturday, but will you need your waterproof coat? Find out by taking a look at the forecast for part 1 of the weekend 👇

Met Office

18,049 просмотров • 7 месяцев назад

This Japanese trader fed Claude 400M Polymarket trades and made $51,648 in 2 months His account is mocamoca He gave Claude one task: find an edge in prediction markets Claude analyzed 36GB of trades collected over 6 years and found one thing: "dead" contracts priced under 1¢ don't stay dead 6% of the time and 2.66% at 99x covers everything mocamoca's twist: enters at 3-15¢, exits at 87-93¢ same asymmetry, tighter execution from Feb 5 to today: - biggest win: $395 -> $2,906 - 1,658 trades account is public, check it yourself: I found 7 more wallets doing the same thing -> $550K combined reverse-engineered the strategy, built the bot full code inside the article
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This Japanese trader fed Claude 400M Polymarket trades and made $51,648 in 2 months His account is mocamoca He gave Claude one task: find an edge in prediction markets Claude analyzed 36GB of trades collected over 6 years and found one thing: "dead" contracts priced under 1¢ don't stay dead 6% of the time and 2.66% at 99x covers everything mocamoca's twist: enters at 3-15¢, exits at 87-93¢ same asymmetry, tighter execution from Feb 5 to today: - biggest win: $395 -> $2,906 - 1,658 trades account is public, check it yourself: I found 7 more wallets doing the same thing -> $550K combined reverse-engineered the strategy, built the bot full code inside the article

Paone

16,240 просмотров • 6 месяцев назад

Yomif Kejelcha breaking the 2-hr barrier on his first official marathon at London 2026 with a time of 1:59:41…but still losing to Sabastian Sawe at 1:59:30 is the long-distance running equivalent of that Jerry Seinfeld Olympics bit:
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Yomif Kejelcha breaking the 2-hr barrier on his first official marathon at London 2026 with a time of 1:59:41…but still losing to Sabastian Sawe at 1:59:30 is the long-distance running equivalent of that Jerry Seinfeld Olympics bit:

Trung Phan

49,820 просмотров • 5 месяцев назад