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Since launching the $TMAI Moonshots, the response has been explosive. ⏱️ Avg. hold time: 2 days ✅ Win rate: 56% $VINE → 241% $GNS → 68% $BR → 60% $THE → 49% We spot low-cap moves before they happen. Fast trades powered by Data and AI. Built for those...

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40,199 просмотров • 1 год назад •via X (Twitter)

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Fabriq

12,768 просмотров • 11 месяцев назад

I thought this was the most important moment from Elon's interview with Dwarkesh and John Collison Elon is saying the quiet part out loud here. The reality is that without securing a win in the race for AI and robotics, America will fall behind our peers in the future world order Worth a listen "We definitely can't win with just humans because China has 4 times our population. And frankly, America has been winning for so long that we, just like a pro sports team that has been winning for a long time, tend to get complacent and entitled. And that is why they stop winning because they just dont work as hard anymore My observation is that the average work ethic in China is higher than in the U.S. So it's not just that there is 4x the population, the amount of work they put in is higher. We cant win on the human front, and our birth rate has been low for a very long time. U.S. birth rate has been below replacement since roughly 1971. We have more people domestically dying than being born. We definitely cant win on the human front, but we might have a shot at the robot front"
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I thought this was the most important moment from Elon's interview with Dwarkesh and John Collison Elon is saying the quiet part out loud here. The reality is that without securing a win in the race for AI and robotics, America will fall behind our peers in the future world order Worth a listen "We definitely can't win with just humans because China has 4 times our population. And frankly, America has been winning for so long that we, just like a pro sports team that has been winning for a long time, tend to get complacent and entitled. And that is why they stop winning because they just dont work as hard anymore My observation is that the average work ethic in China is higher than in the U.S. So it's not just that there is 4x the population, the amount of work they put in is higher. We cant win on the human front, and our birth rate has been low for a very long time. U.S. birth rate has been below replacement since roughly 1971. We have more people domestically dying than being born. We definitely cant win on the human front, but we might have a shot at the robot front"

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43,199 просмотров • 7 месяцев назад

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Dexed

18,202 просмотров • 1 год назад

since 1993, hedge funds over $100M have been legally required to publish every position they hold 4 times a year, exact stocks and exact share counts, all of it free on the SEC website i spent 6 months asking one question with python: what happens when 4 or more separate funds all show up with new positions in the same small-cap stock in the same quarter - before the price has moved? backtested 2,400 signals from 2019 to 2025 67% win rate, 18.4% average gain per trade, 31 day average hold the reason the edge exists is the same reason the funds themselves can't collect it an $8B fund building a position in a $400M company moves the price against itself the second it starts buying so they file 45 days after the fact, the window opens, and nobody's standing in it running it live since february - 11 closed trades, 9 winners, +31% while the s&p returned 8% in the same period setup cost: a free API key from SEC EDGAR and one saturday morning this isn't an edge i found by being smart. it's an edge that only exists because the people publishing it are too large to use it themselves Bookmark before it get losted the filing requirement has been law since the clinton administration, sitting in a public federal database for 30 years most retail traders pay monthly subscriptions to signal services built by people who just learned to read a government XML file the data was never hidden. it just required knowing where to look
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since 1993, hedge funds over $100M have been legally required to publish every position they hold 4 times a year, exact stocks and exact share counts, all of it free on the SEC website i spent 6 months asking one question with python: what happens when 4 or more separate funds all show up with new positions in the same small-cap stock in the same quarter - before the price has moved? backtested 2,400 signals from 2019 to 2025 67% win rate, 18.4% average gain per trade, 31 day average hold the reason the edge exists is the same reason the funds themselves can't collect it an $8B fund building a position in a $400M company moves the price against itself the second it starts buying so they file 45 days after the fact, the window opens, and nobody's standing in it running it live since february - 11 closed trades, 9 winners, +31% while the s&p returned 8% in the same period setup cost: a free API key from SEC EDGAR and one saturday morning this isn't an edge i found by being smart. it's an edge that only exists because the people publishing it are too large to use it themselves Bookmark before it get losted the filing requirement has been law since the clinton administration, sitting in a public federal database for 30 years most retail traders pay monthly subscriptions to signal services built by people who just learned to read a government XML file the data was never hidden. it just required knowing where to look

Livsun

32,612 просмотров • 3 месяцев назад

Someone made a Claude-powered bot that made $381,000+ on Polymarket. Almost nobody noticed. But he wasn’t predicting BTC direction like everyone else. He built a market reaction engine. Wallet: What the system does: • pulls live CLOB order book data • tracks OTC liquidity shifts • runs thousands of BTC simulations in seconds • detects contracts lagging behind sentiment • enters before repricing • exits minutes later with the spread Results: • 3,464 trades • 78.6% win rate • 381k profit The real edge wasn’t predicting Bitcoin. It was reacting faster than the market could update itself. By the time most traders noticed the move, the trade was already finished. This isn’t gambling anymore. It’s latency + AI + execution.
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Someone made a Claude-powered bot that made $381,000+ on Polymarket. Almost nobody noticed. But he wasn’t predicting BTC direction like everyone else. He built a market reaction engine. Wallet: What the system does: • pulls live CLOB order book data • tracks OTC liquidity shifts • runs thousands of BTC simulations in seconds • detects contracts lagging behind sentiment • enters before repricing • exits minutes later with the spread Results: • 3,464 trades • 78.6% win rate • 381k profit The real edge wasn’t predicting Bitcoin. It was reacting faster than the market could update itself. By the time most traders noticed the move, the trade was already finished. This isn’t gambling anymore. It’s latency + AI + execution.

Casey

15,758 просмотров • 4 месяцев назад

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Starcloud (starcloud_inc1) recently made history by launching a satellite with an NVIDIA H100 into orbit — the first time a GPU that powerful has ever operated in space. It's the first step toward building AI data centers in orbit, powered by continuous sunlight and cooled by radiating heat into deep space. Their approach could one day rival the world's biggest data centers while using less energy, zero fresh water, and far lower emissions. YC's Aaron Epstein visited Starcloud's HQ, where co-founders , Ezra Feilden, and Adrian Andrei Oltean explained how they built a working prototype in just 15 months — and why big tech is racing to space for AI compute.

Y Combinator

362,429 просмотров • 10 месяцев назад

This guy built a Quant Kalman Filter and it made $521 a day on Polymarket The result is already +$10,418 PnL in 20 days across 7,437 predictions, repeating the same setup 15 times every hour across crypto "Up or Down" markets The software filters short term noise before recalculating probability: This trader’s Polymarket account: 7,437 predictions with a 54% win rate 1. Kalman decides how much of each move is real signal A simplified update: x(new) = x(old) + K × [y - x(old)] Where: x = filtered estimate y = latest market observation K = how strongly new data changes the estimate One random spike barely moves the model Several confirming moves pull the estimate much faster 2. The filtered move becomes a fair Up or Down probability For example: Filtered Down = 64% Market Down = 53¢ Edge = 11¢ If new data keeps confirming Down, the system can continue building the position If the move gets classified as noise, the estimate moves back and the next order disappears Most profitable trades: $808 → $1,529 (+$721) $270 → $965 (+$695) $291 → $886 (+$595) A similar Kalman workflow can be coordinated with Grok Bot while external tools handle live crypto data and execution
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This guy built a Quant Kalman Filter and it made $521 a day on Polymarket The result is already +$10,418 PnL in 20 days across 7,437 predictions, repeating the same setup 15 times every hour across crypto "Up or Down" markets The software filters short term noise before recalculating probability: This trader’s Polymarket account: 7,437 predictions with a 54% win rate 1. Kalman decides how much of each move is real signal A simplified update: x(new) = x(old) + K × [y - x(old)] Where: x = filtered estimate y = latest market observation K = how strongly new data changes the estimate One random spike barely moves the model Several confirming moves pull the estimate much faster 2. The filtered move becomes a fair Up or Down probability For example: Filtered Down = 64% Market Down = 53¢ Edge = 11¢ If new data keeps confirming Down, the system can continue building the position If the move gets classified as noise, the estimate moves back and the next order disappears Most profitable trades: $808 → $1,529 (+$721) $270 → $965 (+$695) $291 → $886 (+$595) A similar Kalman workflow can be coordinated with Grok Bot while external tools handle live crypto data and execution

Daniro

18,211 просмотров • 8 дней назад

Success rate has long been the primary metric for evaluating robot manipulation. What about speed? Today, we introduce ⚡️B-spline Policy (BSP). Instead of predicting discrete fixed-rate action chunks, we parameterize actions as continuous B-spline curves. Together with our system design, BSP enables fast manipulation on low-cost robot arms. This project is co-led by Xiaoshen Han, check out his following threads for more details. 🧵 PS: one of my favorite parts of this project was the first time we saw the robots move significantly faster and smoother than the baselines. The videos below are all real time. 👇
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Success rate has long been the primary metric for evaluating robot manipulation. What about speed? Today, we introduce ⚡️B-spline Policy (BSP). Instead of predicting discrete fixed-rate action chunks, we parameterize actions as continuous B-spline curves. Together with our system design, BSP enables fast manipulation on low-cost robot arms. This project is co-led by Xiaoshen Han, check out his following threads for more details. 🧵 PS: one of my favorite parts of this project was the first time we saw the robots move significantly faster and smoother than the baselines. The videos below are all real time. 👇

Haoyu Xiong

71,116 просмотров • 2 месяцев назад

In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI
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In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI

CNBC-TV18

30,789 просмотров • 4 месяцев назад

quant at D.E. Shaw told me his best strategy loses 6 out of every 10 trades showed me the ledger. didn't believe him until i saw the equity curve retail optimizes for win rate. quants optimize for expected value - completely different targets that gap is why hedge funds extract money from retail every single day math is literally 4th grade: EV = (win% x avg win) - (loss% x avg loss) a 39% win rate at 3:1 reward/risk beats an 80% win rate at 1:2, every single time retail either doesn't know this, or ignores it because losing 61% of trades feels wrong so they cut winners early to "lock in gains" and hold losers because "it'll come back" both moves destroy expected value. both are emotional, not mathematical citadel calls systematic position sizing its edge. retail calls it going with your gut Kelly Criterion fixes it - bet (EV / odds) of your capital per trade, sized from your own historical data ran 2 years of backtests on a 40% win-rate strategy: > Kelly-sized positions: +340% > same signals, gut-sized: +71% same market, same entries and exits only variable: math decided how much to bet Bookmark this before you open your next position they kept you counting candles while they ran expected value tables Reply below what you think
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quant at D.E. Shaw told me his best strategy loses 6 out of every 10 trades showed me the ledger. didn't believe him until i saw the equity curve retail optimizes for win rate. quants optimize for expected value - completely different targets that gap is why hedge funds extract money from retail every single day math is literally 4th grade: EV = (win% x avg win) - (loss% x avg loss) a 39% win rate at 3:1 reward/risk beats an 80% win rate at 1:2, every single time retail either doesn't know this, or ignores it because losing 61% of trades feels wrong so they cut winners early to "lock in gains" and hold losers because "it'll come back" both moves destroy expected value. both are emotional, not mathematical citadel calls systematic position sizing its edge. retail calls it going with your gut Kelly Criterion fixes it - bet (EV / odds) of your capital per trade, sized from your own historical data ran 2 years of backtests on a 40% win-rate strategy: > Kelly-sized positions: +340% > same signals, gut-sized: +71% same market, same entries and exits only variable: math decided how much to bet Bookmark this before you open your next position they kept you counting candles while they ran expected value tables Reply below what you think

Livsun

14,773 просмотров • 2 месяцев назад

i built a tool that sees the future and it can make you a millionaire not joking it finds people who already know outcomes before they happen polymarket insider detector built with claude opus 4.6 and 1M context window scans 847,000 wallets in real time found 73 wallets that are statistically impossible one wallet: 97.3% win rate on 67 trades average entry: 47 minutes before resolution total PnL: $4.7 million how it works: → indexes every polymarket trade on-chain → timing anomaly model flags wallets entering right before resolution → cluster detection finds sybil networks (found one group of 12 wallets making $200-500k bets 2-5 minutes before economic data drops) → win rate analysis calculates statistical probability (p-value on that top wallet: 0.000000000000024) i’m gonna copy their next position before resolution this is $100k+ upside if you catch one early
1:31

i built a tool that sees the future and it can make you a millionaire not joking it finds people who already know outcomes before they happen polymarket insider detector built with claude opus 4.6 and 1M context window scans 847,000 wallets in real time found 73 wallets that are statistically impossible one wallet: 97.3% win rate on 67 trades average entry: 47 minutes before resolution total PnL: $4.7 million how it works: → indexes every polymarket trade on-chain → timing anomaly model flags wallets entering right before resolution → cluster detection finds sybil networks (found one group of 12 wallets making $200-500k bets 2-5 minutes before economic data drops) → win rate analysis calculates statistical probability (p-value on that top wallet: 0.000000000000024) i’m gonna copy their next position before resolution this is $100k+ upside if you catch one early

Argona

98,342 просмотров • 7 месяцев назад

Hey everyone, We will be launching our Musk AI Agent built on ai16zdao 's Eliza OS framework and trained on Elon Musk 's tweets, with the aim to showcase how AI Agents can be used to collect specialized data using conversations. 444 individuals who can convince the Musk AI Agent that they are worthy will recieve an exclusive whitelist spot for the OpenLedger NFT on their wallet address (shared by user in chat), which they can then use to claim the NFT from OpenSea We are showcasing a teaser video down below Stay tuned to get access! OpenSea collection link: Telegram Agent: Coming soon
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Hey everyone, We will be launching our Musk AI Agent built on ai16zdao 's Eliza OS framework and trained on Elon Musk 's tweets, with the aim to showcase how AI Agents can be used to collect specialized data using conversations. 444 individuals who can convince the Musk AI Agent that they are worthy will recieve an exclusive whitelist spot for the OpenLedger NFT on their wallet address (shared by user in chat), which they can then use to claim the NFT from OpenSea We are showcasing a teaser video down below Stay tuned to get access! OpenSea collection link: Telegram Agent: Coming soon

OpenLedger

128,941 просмотров • 1 год назад

This trader used Claude to build a Quant Bot and made +$496,820 on Polymarket Since Apr 5, this wallet has been bringing in about $4,284 per day and running at roughly 36 trades per hour 100,202 predictions in 116 days with a 48% win rate How does an account with a sub-50% win rate still put up nearly $500,000 in PnL? The setup is pretty clear: 1. It operates almost entirely in short crypto “Up / Down” markets and trades them with very fast execution 2. The system looks built around temporal arbitrage, hedged directional exposure, near-resolution capture, and inventory rotation 3. It accumulates one side when probabilities get pushed too far, then completes or rebalances the structure later if the other side offers a cleaner hedge This trader’s Polymarket account: Ox5Of7 Most profitable trades: $205 → $8,905 (+$8,701 +4,254.5%) $89 → $8,434 (+$8,345 +9,378.7%) $21,793 → $29,754 (+$7,961 +36.5%) Its PnL comes from continuously rebuilding and rebalancing the same setup across more than 100,000 short-market entries
0:25

This trader used Claude to build a Quant Bot and made +$496,820 on Polymarket Since Apr 5, this wallet has been bringing in about $4,284 per day and running at roughly 36 trades per hour 100,202 predictions in 116 days with a 48% win rate How does an account with a sub-50% win rate still put up nearly $500,000 in PnL? The setup is pretty clear: 1. It operates almost entirely in short crypto “Up / Down” markets and trades them with very fast execution 2. The system looks built around temporal arbitrage, hedged directional exposure, near-resolution capture, and inventory rotation 3. It accumulates one side when probabilities get pushed too far, then completes or rebalances the structure later if the other side offers a cleaner hedge This trader’s Polymarket account: Ox5Of7 Most profitable trades: $205 → $8,905 (+$8,701 +4,254.5%) $89 → $8,434 (+$8,345 +9,378.7%) $21,793 → $29,754 (+$7,961 +36.5%) Its PnL comes from continuously rebuilding and rebalancing the same setup across more than 100,000 short-market entries

Daniro

22,811 просмотров • 2 месяцев назад

This trader used Claude to build a Quant Bot and made +$115,615 on Polymarket Since Apr 2, this wallet has been bringing in about $1,501 per day and running at a little over 22 trades per hour 41,972 predictions with a 39% win rate in 80 days This trader’s Polymarket account: This trader started with $219.7K in deposits and is now sitting at roughly +52.6% ROI The bot strategy is simple: > It hunts for short crypto markets where pricing is still out of line > Gets in before the move is fully reflected in the odds > Then keeps firing the same setup across a very large number of entries Most profitable trades: $62.4 → $1,745.5 (+$1,683, +2,693.8%) $27.9 → $1,365.0 (+$1,337, +4,784%) $79.6 → $1,350.0 (+$1,270, +1,595.7%) The result does not come from one outsized win, but from repeating the same edge over and over
0:25

This trader used Claude to build a Quant Bot and made +$115,615 on Polymarket Since Apr 2, this wallet has been bringing in about $1,501 per day and running at a little over 22 trades per hour 41,972 predictions with a 39% win rate in 80 days This trader’s Polymarket account: This trader started with $219.7K in deposits and is now sitting at roughly +52.6% ROI The bot strategy is simple: > It hunts for short crypto markets where pricing is still out of line > Gets in before the move is fully reflected in the odds > Then keeps firing the same setup across a very large number of entries Most profitable trades: $62.4 → $1,745.5 (+$1,683, +2,693.8%) $27.9 → $1,365.0 (+$1,337, +4,784%) $79.6 → $1,350.0 (+$1,270, +1,595.7%) The result does not come from one outsized win, but from repeating the same edge over and over

Daniro

129,079 просмотров • 3 месяцев назад

#WATCH | Lucknow, Uttar Pradesh: On protest in Jantar Mantar over Reservation, Deputy CM Brajesh Pathak says, "Regarding the protest held yesterday at Jantar Mantar, we received a letter from you all. We have forwarded that letter to our central leadership, and they have assured us that they will seriously consider the demands raised by the young colleagues who were protesting at Jantar Mantar. They have promised that, under no circumstances, will they allow any harm to come to the country's youth or students, and that they will move forward by taking everyone along. Since it was your wish to present your case before the central leadership, a meeting has been arranged for them with the Union Minister in two days' time; I will accompany them to that meeting to facilitate the discussion."
1:32

#WATCH | Lucknow, Uttar Pradesh: On protest in Jantar Mantar over Reservation, Deputy CM Brajesh Pathak says, "Regarding the protest held yesterday at Jantar Mantar, we received a letter from you all. We have forwarded that letter to our central leadership, and they have assured us that they will seriously consider the demands raised by the young colleagues who were protesting at Jantar Mantar. They have promised that, under no circumstances, will they allow any harm to come to the country's youth or students, and that they will move forward by taking everyone along. Since it was your wish to present your case before the central leadership, a meeting has been arranged for them with the Union Minister in two days' time; I will accompany them to that meeting to facilitate the discussion."

ANI

60,626 просмотров • 1 месяц назад

This trader used Claude to build a Quant Bot and made +$1,097,267 on Polymarket Since Mar 25, this wallet has been bringing in about $11,550 per day and running at a little over 34 trades per hour 79,162 predictions with a 56% win rate in 95 days This trader’s Polymarket account: The bot strategy is simple: > It waits for short crypto markets to fall out of sync > gets in before the board fully reprices and keeps pressing the same edge across a huge number of entries The result is not carried by one big trade, but by the same repeatable setup compounding over time Most profitable trades: $358 → $12,265 (+$11,907, +3,324%) $534 → $10,996 (+$10,461, +1,955%) $280 → $9,585 (+$9,304, +3,316%) What stands out here is not a single lucky outlier. It is a systematic short-window process that keeps monetizing delayed pricing again and again
0:25

This trader used Claude to build a Quant Bot and made +$1,097,267 on Polymarket Since Mar 25, this wallet has been bringing in about $11,550 per day and running at a little over 34 trades per hour 79,162 predictions with a 56% win rate in 95 days This trader’s Polymarket account: The bot strategy is simple: > It waits for short crypto markets to fall out of sync > gets in before the board fully reprices and keeps pressing the same edge across a huge number of entries The result is not carried by one big trade, but by the same repeatable setup compounding over time Most profitable trades: $358 → $12,265 (+$11,907, +3,324%) $534 → $10,996 (+$10,461, +1,955%) $280 → $9,585 (+$9,304, +3,316%) What stands out here is not a single lucky outlier. It is a systematic short-window process that keeps monetizing delayed pricing again and again

Daniro

74,326 просмотров • 3 месяцев назад

.Kevin O'Leary aka Mr. Wonderful breaks down the brutal reality of the AI race with China and proposes a new rule for data centers moving forward in the U.S.: “The new rule of engagement should be this, as part of the national solution: if I'm going to bring a data center anywhere, I gotta bring my own power. I gotta spend billions to build power and then give some of it back to the grid so we can stay competitive. I've been dealing in China since they came into the World Trade Organization back in 2000. They haven't played by the rules, before we were even worried about AI… In the last 18 months, the Chinese, using primarily coal-burning turbines because they don't care about the environment, or [if] they need a permit - the big guy says, ‘put one here,’ and that's how it happens - they've built 400 gigawatts of new power for China, its economy, and its efforts to dominate AI. How many have we built that's new in America? Zero.”
3:04

.Kevin O'Leary aka Mr. Wonderful breaks down the brutal reality of the AI race with China and proposes a new rule for data centers moving forward in the U.S.: “The new rule of engagement should be this, as part of the national solution: if I'm going to bring a data center anywhere, I gotta bring my own power. I gotta spend billions to build power and then give some of it back to the grid so we can stay competitive. I've been dealing in China since they came into the World Trade Organization back in 2000. They haven't played by the rules, before we were even worried about AI… In the last 18 months, the Chinese, using primarily coal-burning turbines because they don't care about the environment, or [if] they need a permit - the big guy says, ‘put one here,’ and that's how it happens - they've built 400 gigawatts of new power for China, its economy, and its efforts to dominate AI. How many have we built that's new in America? Zero.”

Glenn Beck

38,069 просмотров • 2 месяцев назад

This guy used Claude to build a Quant Bot and made +$115,533 on Polymarket Since Mar 25, this wallet has been averaging about $1,409 in profit per day while running at roughly 29 trades per hour 56,703 predictions with a 60% win rate in 82 days This trader’s Polymarket account: The bot strategy is simple: >It keeps scanning for markets where the price has not fully caught up yet >enters before the repricing is complete and keeps deploying the same setup across a huge number of entries >the edge on each trade is small, but the constant repetition is what pushes the curve higher over time Most profitable trades: $1,166 → $2,288 (+$1,122, +96.19%) $737 → $1,731 (+$994, +134.96%) $838 → $1,821 (+$983, +117.4%) It is a repeatable high-frequency process that keeps turning delayed pricing into steady PnL
0:26

This guy used Claude to build a Quant Bot and made +$115,533 on Polymarket Since Mar 25, this wallet has been averaging about $1,409 in profit per day while running at roughly 29 trades per hour 56,703 predictions with a 60% win rate in 82 days This trader’s Polymarket account: The bot strategy is simple: >It keeps scanning for markets where the price has not fully caught up yet >enters before the repricing is complete and keeps deploying the same setup across a huge number of entries >the edge on each trade is small, but the constant repetition is what pushes the curve higher over time Most profitable trades: $1,166 → $2,288 (+$1,122, +96.19%) $737 → $1,731 (+$994, +134.96%) $838 → $1,821 (+$983, +117.4%) It is a repeatable high-frequency process that keeps turning delayed pricing into steady PnL

Daniro

31,221 просмотров • 3 месяцев назад

This trader used Claude to build a Quant Bot and made +$104,043 on Polymarket Since Apr 2, this wallet has been making about $1,351 a day and a little over 22 trades per hour 40,774 predictions with a 51% win rate in 77 days This trader’s Polymarket account: This trader started with $219.7K in deposits and is now sitting at roughly +41.1% ROI The bot strategy is simple: > It looks for short crypto markets where the odds are still out of sync > Gets in before the repricing is finished then keeps hitting the same setup across a huge flow of entries > The result is not driven by one big win, but by repeating the same edge over and over Most profitable trades: $62 → $1,745 (+$1,683, +2,693.86%) $27 → $1,365 (+$1,337, +4,784%) $79 → $1,350 (+$1,270, +1,595.75%) It is the ability to keep exploiting tiny short-window pricing errors until they stack into a large PnL
0:25

This trader used Claude to build a Quant Bot and made +$104,043 on Polymarket Since Apr 2, this wallet has been making about $1,351 a day and a little over 22 trades per hour 40,774 predictions with a 51% win rate in 77 days This trader’s Polymarket account: This trader started with $219.7K in deposits and is now sitting at roughly +41.1% ROI The bot strategy is simple: > It looks for short crypto markets where the odds are still out of sync > Gets in before the repricing is finished then keeps hitting the same setup across a huge flow of entries > The result is not driven by one big win, but by repeating the same edge over and over Most profitable trades: $62 → $1,745 (+$1,683, +2,693.86%) $27 → $1,365 (+$1,337, +4,784%) $79 → $1,350 (+$1,270, +1,595.75%) It is the ability to keep exploiting tiny short-window pricing errors until they stack into a large PnL

Daniro

94,536 просмотров • 3 месяцев назад