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this is legitimately brilliant trying it today because if this actually works the way he describes I'm completely changing how I trade on prediction markets like Polymarket i just gone through The Smart Ape 🔥's bot, he just spent weeks building a free tool that connects Polymarket odds to...

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arndxt

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105,303 Aufrufe • vor 7 Monaten •via X (Twitter)

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David Friedberg's forecast for 2026: Prediction markets become the news “I think Polymarket's evolved from being kind of this one-off quirky prediction market to actually really providing insights into current events and the news in a way that none of us anticipated.” “And I do expect that after the deal we saw with NYSE, that all of the exchanges, and we're already seeing this with Robinhood and Coinbase, and we should expect something from Nasdaq this year … but I do think that prediction markets could become not just markets, but also news.” “And I think Polymarket’s just in such a position to have a breakout year.”
0:36

David Friedberg's forecast for 2026: Prediction markets become the news “I think Polymarket's evolved from being kind of this one-off quirky prediction market to actually really providing insights into current events and the news in a way that none of us anticipated.” “And I do expect that after the deal we saw with NYSE, that all of the exchanges, and we're already seeing this with Robinhood and Coinbase, and we should expect something from Nasdaq this year … but I do think that prediction markets could become not just markets, but also news.” “And I think Polymarket’s just in such a position to have a breakout year.”

The All-In Podcast

78,434 Aufrufe • vor 7 Monaten

This guy works at coinbase. in his spare time he built the largest open dataset for polymarket and kalshi 72,100,000 trades. 7,680,000 markets. open source - figured out who actually makes money on prediction markets - wrote a research paper with the math to prove it - 3,100 stars on github just for that also built heimdall-rs - rust toolkit for evm bytecode analysis. 1,500 stars. serious dev 3,008 contributions in the last year while everyone's posting takes about polymarket - he's building the infrastructure underneath it → like + bookmark. you'll need this when you build your first polymarket bot
0:41

This guy works at coinbase. in his spare time he built the largest open dataset for polymarket and kalshi 72,100,000 trades. 7,680,000 markets. open source - figured out who actually makes money on prediction markets - wrote a research paper with the math to prove it - 3,100 stars on github just for that also built heimdall-rs - rust toolkit for evm bytecode analysis. 1,500 stars. serious dev 3,008 contributions in the last year while everyone's posting takes about polymarket - he's building the infrastructure underneath it → like + bookmark. you'll need this when you build your first polymarket bot

Archive

119,072 Aufrufe • vor 4 Monaten

.Martin Shkreli explains why he's both bearish on prediction markets and runs a bot that makes a market in the Bitcoin 15-minute Polymarket markets: "How much are you just financializing for financializing's sake, and is that sustainable when you actually need people with tons of money to fight the arbitrage gradient?" "For example, I've been running this bot on Polymarket that makes a market in the Bitcoin 15-minute markets, which are somewhat inefficient." "Nobody needs to trade this. There's no actual benefit to trading this, other than that you can take two-to-N bets - you get around 96 bets a day - and with the money velocity of getting a lot of those right, you can compound insanely well." "Of course, it's random. But people's hope springs eternal that they could somehow get the rhythm of the market every 15 minutes. I think it's a waste of ingenuity and engineering."
1:56

.Martin Shkreli explains why he's both bearish on prediction markets and runs a bot that makes a market in the Bitcoin 15-minute Polymarket markets: "How much are you just financializing for financializing's sake, and is that sustainable when you actually need people with tons of money to fight the arbitrage gradient?" "For example, I've been running this bot on Polymarket that makes a market in the Bitcoin 15-minute markets, which are somewhat inefficient." "Nobody needs to trade this. There's no actual benefit to trading this, other than that you can take two-to-N bets - you get around 96 bets a day - and with the money velocity of getting a lot of those right, you can compound insanely well." "Of course, it's random. But people's hope springs eternal that they could somehow get the rhythm of the market every 15 minutes. I think it's a waste of ingenuity and engineering."

TBPN

151,807 Aufrufe • vor 7 Monaten

Polymarket vs Sportsbooks: Why Betting Apps are Toast On E248, Chamath and Friedberg discussed why prediction markets like Polymarket are killing traditional sportsbooks. Friedberg: “I think gambling generally, as we call it, should be decriminalized.” “And I don't like this state-by-state set up with gambling.” “I think we should have a federal regulatory body.” “This is not going away. People love to bet on stuff. This is part of sports, this is part of the culture.” Chamath: “ Look at Polymarket.” “Polymarket raised at, whatever it was, $1-2B at $9B. Then the next weekend they announced sports betting and now they're raising money 30 days later at, allegedly, $12-15B.” “And you can see, by the way, the way that DraftKings and FanDuel stock have reacted to this, those companies are toast.” Friedberg: “ The Polymarket model is the best model because it creates a market.” “And so as information flows in, that market will dynamically adjust and everyone will get a more fair price.” “Polymarket actually has the news before the news does.” “And this is one of the most powerful outputs of Polymarket, is they're actually getting a read on what's going on in the world before the media recognizes it, before the public recognizes it.” “When you put money up, it actually turns out that when people have incentives, that market will find the truth.”
1:04

Polymarket vs Sportsbooks: Why Betting Apps are Toast On E248, Chamath and Friedberg discussed why prediction markets like Polymarket are killing traditional sportsbooks. Friedberg: “I think gambling generally, as we call it, should be decriminalized.” “And I don't like this state-by-state set up with gambling.” “I think we should have a federal regulatory body.” “This is not going away. People love to bet on stuff. This is part of sports, this is part of the culture.” Chamath: “ Look at Polymarket.” “Polymarket raised at, whatever it was, $1-2B at $9B. Then the next weekend they announced sports betting and now they're raising money 30 days later at, allegedly, $12-15B.” “And you can see, by the way, the way that DraftKings and FanDuel stock have reacted to this, those companies are toast.” Friedberg: “ The Polymarket model is the best model because it creates a market.” “And so as information flows in, that market will dynamically adjust and everyone will get a more fair price.” “Polymarket actually has the news before the news does.” “And this is one of the most powerful outputs of Polymarket, is they're actually getting a read on what's going on in the world before the media recognizes it, before the public recognizes it.” “When you put money up, it actually turns out that when people have incentives, that market will find the truth.”

The All-In Podcast

348,178 Aufrufe • vor 10 Monaten

Polymarket front run bot Spent the last month building the backend for this bot which essentially acts the same way that high frequency trading bots work in the stock market It waits for a market buy order to come through where there is thin liquidity in the order book meaning their market buy will push the price up of a YES/NO contract meaning that if my bot buys the contracts first then I can sell them at the high price to the market buy order before their orders have gone through Prediction markets are still early enough to find opportunities like this, just like how the early days of stock trading similar bots to this were invented It is essentially an arbitrage strategy, will make the bot public and free to a few people tomorrow so turn on notifications so you don’t miss it
1:54

Polymarket front run bot Spent the last month building the backend for this bot which essentially acts the same way that high frequency trading bots work in the stock market It waits for a market buy order to come through where there is thin liquidity in the order book meaning their market buy will push the price up of a YES/NO contract meaning that if my bot buys the contracts first then I can sell them at the high price to the market buy order before their orders have gone through Prediction markets are still early enough to find opportunities like this, just like how the early days of stock trading similar bots to this were invented It is essentially an arbitrage strategy, will make the bot public and free to a few people tomorrow so turn on notifications so you don’t miss it

Ethan

71,943 Aufrufe • vor 8 Monaten

INSIDE JUPITER: TRADING THE NEWS WITH PREDICTION MARKETS This episode with Julian breaks down why prediction markets are becoming a core primitive of Web4, how the Polymarket partnership fits the Jupiter full-stack vision, and why the future isn’t a separate product it’s prediction embedded everywhere. time stamps : 00:00 Intro Inside Jupiter HQ 00:18 Who's Julian and what's his role 00:44 What JuPredict actually is: “trading the news” 01:11 Polymarket × Jupiter 02:01 Why prediction markets are emerging 03:00 Markets vs commentators 04:24 Local & social prediction markets 05:15 On-chain transparency & global accessibility 06:27 Prediction markets in the Jupiter Web4 stack 07:48 The vision: predicting from any interface 09:28 Why people misread market prices 10:20 The real edge: studying trade flow before events 11:05 What prediction markets are best at predicting 11:40 Consistency & accuracy of the markets 12:10 Message to the community
13:01

INSIDE JUPITER: TRADING THE NEWS WITH PREDICTION MARKETS This episode with Julian breaks down why prediction markets are becoming a core primitive of Web4, how the Polymarket partnership fits the Jupiter full-stack vision, and why the future isn’t a separate product it’s prediction embedded everywhere. time stamps : 00:00 Intro Inside Jupiter HQ 00:18 Who's Julian and what's his role 00:44 What JuPredict actually is: “trading the news” 01:11 Polymarket × Jupiter 02:01 Why prediction markets are emerging 03:00 Markets vs commentators 04:24 Local & social prediction markets 05:15 On-chain transparency & global accessibility 06:27 Prediction markets in the Jupiter Web4 stack 07:48 The vision: predicting from any interface 09:28 Why people misread market prices 10:20 The real edge: studying trade flow before events 11:05 What prediction markets are best at predicting 11:40 Consistency & accuracy of the markets 12:10 Message to the community

JUP AND JUICE (🧃)

20,990 Aufrufe • vor 6 Monaten

The sports bot is still cooking This bot made $400k in 7 days This is the same Polymarket bot I mentioned before The one that printed over $4,000,000 last month, and it hasn’t slowed down RIGHT NOW - he is loading up aggressively on NBA Finals markets - odds there are clearly mispriced trader 'DrPufferfish' - $500k in active positions - 740 predictions total - over $4,000,000 in PnL profile: WHAT GIVES THIS BOT AN EDGE? It understood something early: sports markets on Polymarket are structurally broken It doesn’t predict outcomes. It abuses the order book The bot scans every live sports market, looks for wide spreads, and buys where liquidity is sloppy No waiting. Just execution That’s how these numbers happen Not magic. Not luck Just someone who realized where the edge actually is and took it before everyone else caught on
0:39

The sports bot is still cooking This bot made $400k in 7 days This is the same Polymarket bot I mentioned before The one that printed over $4,000,000 last month, and it hasn’t slowed down RIGHT NOW - he is loading up aggressively on NBA Finals markets - odds there are clearly mispriced trader 'DrPufferfish' - $500k in active positions - 740 predictions total - over $4,000,000 in PnL profile: WHAT GIVES THIS BOT AN EDGE? It understood something early: sports markets on Polymarket are structurally broken It doesn’t predict outcomes. It abuses the order book The bot scans every live sports market, looks for wide spreads, and buys where liquidity is sloppy No waiting. Just execution That’s how these numbers happen Not magic. Not luck Just someone who realized where the edge actually is and took it before everyone else caught on

gavelsv.patron

14,474 Aufrufe • vor 7 Monaten

This Polymarket looks like an easy bond - 'Will $BTC be above $100k on Nov 13?' - Current $BTC price is $103k - Odds are 95.5% - There's 10 hours left for the market to resolve - IMO this is an easy bond Smart Money 1) Heavily skewed towards YES 2) This trader - blubblerbuster consistently trades Price Prediction Markets successfully and has a PnL of $27k 3) He's the 3rd biggest holder of YES (Pro Tip: Here's how I found this market on TradeFox: a) Open the Market Dropdown on the trade page b) Use the Bonding Soon filter c) Click on interesting markets ) Link in comments
0:33

This Polymarket looks like an easy bond - 'Will $BTC be above $100k on Nov 13?' - Current $BTC price is $103k - Odds are 95.5% - There's 10 hours left for the market to resolve - IMO this is an easy bond Smart Money 1) Heavily skewed towards YES 2) This trader - blubblerbuster consistently trades Price Prediction Markets successfully and has a PnL of $27k 3) He's the 3rd biggest holder of YES (Pro Tip: Here's how I found this market on TradeFox: a) Open the Market Dropdown on the trade page b) Use the Bonding Soon filter c) Click on interesting markets ) Link in comments

Yoshi

18,123 Aufrufe • vor 9 Monaten

$HOOD My thoughts on the Robinhood election betting market news today: - Kalshi is proving the demand for this market is huge - I don't think $HOOD cares about the election but rather using this event as a test to see if they can launch a larger predictions market - The rate of innovation here is just incredible with this coming out 2 weeks after futures, index options, and the new desktop app - The people critiquing this move largely are missing the innovation in betting markets that's happening right now, EVERYTHING about the elections this cycle have changed in regards to media/polling because of these prediction markets and it seems that major events outside of the election will also have bids and asks for people who want to participate in it -- as a result, Robinhood may capitalize on that market
9:24

$HOOD My thoughts on the Robinhood election betting market news today: - Kalshi is proving the demand for this market is huge - I don't think $HOOD cares about the election but rather using this event as a test to see if they can launch a larger predictions market - The rate of innovation here is just incredible with this coming out 2 weeks after futures, index options, and the new desktop app - The people critiquing this move largely are missing the innovation in betting markets that's happening right now, EVERYTHING about the elections this cycle have changed in regards to media/polling because of these prediction markets and it seems that major events outside of the election will also have bids and asks for people who want to participate in it -- as a result, Robinhood may capitalize on that market

amit

48,731 Aufrufe • vor 1 Jahr

These 15 minute markets on Polymarket are broken He rigs the outcome by moving the price seconds before the close He made $233,929 risk-free in 24 hours His profile: Here is the exact playbook on video: - Longs XRP 1 min before expiry - Props the price up to ensure the win - Dumps his position immediately after resolution He's pulled this off on at least 20 markets. If this is his only account (which I doubt) Honestly, I was mind-blown watching this live I even saw him use copy traders as exit liquidity when they tried to follow DO NOT copy trade him Maybe next time, he won't just be manipulating the market and will be farming YOU
0:36

These 15 minute markets on Polymarket are broken He rigs the outcome by moving the price seconds before the close He made $233,929 risk-free in 24 hours His profile: Here is the exact playbook on video: - Longs XRP 1 min before expiry - Props the price up to ensure the win - Dumps his position immediately after resolution He's pulled this off on at least 20 markets. If this is his only account (which I doubt) Honestly, I was mind-blown watching this live I even saw him use copy traders as exit liquidity when they tried to follow DO NOT copy trade him Maybe next time, he won't just be manipulating the market and will be farming YOU

Lirratø

106,631 Aufrufe • vor 7 Monaten

Debunking Coffeezilla’s prediction market claims In his recent video “prediction markets aren’t just gambling,” Coffeezilla made the three untrue or misleading claims below: 1) “The only way you get the news early, by the way, is if it’s insider trading.” 2) “All these prediction markets are doing is aggregating sentiment on the news.” 3) “The only way you can get something not in the news from these markets is if someone with non-news information trades, which is AKA inside information.” I want to start by saying that I’ve really enjoyed Coffeezilla’s content in the past, and I appreciate him blacking out my name in the tweet he screenshared. I also watched the full video and agreed with parts of it (and disagreed with other parts). That said, these three claims are egregiously incorrect, and I want to correct the record. I hope Coffeezilla reads this and reconsiders these points 1) “The only way you get the news early, by the way, is if it’s insider trading.” Merriam-Webster defines insider trading as “the illegal use of information available only to insiders in order to make a profit in financial trading.” This claim is wrong because it is clearly possible to get information early in entirely legal ways. For example, in CPI inflation markets, someone might notice prices rising on goods they regularly buy, or a sophisticated trader might aggregate pricing data across many products and form a forecast before the CPI release. Journalists may later report on inflation, but the information existed beforehand. Markets also react faster to sudden events, like a Trump Truth Social post or an earthquake, than journalists do. Traders are financially incentivized to react in seconds; journalists are not. Recent high-profile examples include Nobel Peace Prize, Spotify, and Time POTY markets, where traders had information before the news broke. In the Nobel case, there was disinformation claiming insider trading, but as far as most observers can tell, the information was obtained legally via web-scraping. Even if the Nobel Committee disliked it, legally obtained information is fair game. 2) “All these prediction markets are doing is aggregating sentiment on the news.” This is easy to debunk. Prediction markets do aggregate information, but not merely sentiment or headlines. That’s likely why CNN and CNBC partnered with Kalshi. News is filtered through editors, incentives, and bias. Taking headlines at face value is not a winning trading strategy. Savvy traders treat news as one input among many variables. If a headline says “Poll X shows Clinton up 10 points,” markets may adjust, but they don’t blindly price the headline. They factor in other variables. I’d argue markets are often smarter than the news. Domer❤️‍🔥 has even argued that Fed markets on Kalshi are more accurate than CME due to traders like himself making them more efficient, and I think he’s right. 3) “The only way you can get something not in the news from these markets is if someone with non-news information trades, which is AKA inside information.” Merriam-Webster defines insider information as “information not known to the public that one has obtained by virtue of being an insider.” You can obtain non-news information without being an insider. This overlaps with point one, but here’s a concrete example. For the recent TN-07 special election, I traveled to TN-07 and spoke with voters leaving early-voting sites and with everyday residents. I learned how little awareness there was that a special election was even happening, and how voters were thinking about the race. That information wasn’t in the news, but it informed how I traded. I’m not an insider. This was “alpha hunting” through firsthand observation. Almost every serious prediction market trader has similar stories. This is certainly not "insider trading." I’m genuinely curious to hear your thoughts, Coffeezilla, and hope for a good-faith dialogue. I hope you are doing well!
0:24

Debunking Coffeezilla’s prediction market claims In his recent video “prediction markets aren’t just gambling,” Coffeezilla made the three untrue or misleading claims below: 1) “The only way you get the news early, by the way, is if it’s insider trading.” 2) “All these prediction markets are doing is aggregating sentiment on the news.” 3) “The only way you can get something not in the news from these markets is if someone with non-news information trades, which is AKA inside information.” I want to start by saying that I’ve really enjoyed Coffeezilla’s content in the past, and I appreciate him blacking out my name in the tweet he screenshared. I also watched the full video and agreed with parts of it (and disagreed with other parts). That said, these three claims are egregiously incorrect, and I want to correct the record. I hope Coffeezilla reads this and reconsiders these points 1) “The only way you get the news early, by the way, is if it’s insider trading.” Merriam-Webster defines insider trading as “the illegal use of information available only to insiders in order to make a profit in financial trading.” This claim is wrong because it is clearly possible to get information early in entirely legal ways. For example, in CPI inflation markets, someone might notice prices rising on goods they regularly buy, or a sophisticated trader might aggregate pricing data across many products and form a forecast before the CPI release. Journalists may later report on inflation, but the information existed beforehand. Markets also react faster to sudden events, like a Trump Truth Social post or an earthquake, than journalists do. Traders are financially incentivized to react in seconds; journalists are not. Recent high-profile examples include Nobel Peace Prize, Spotify, and Time POTY markets, where traders had information before the news broke. In the Nobel case, there was disinformation claiming insider trading, but as far as most observers can tell, the information was obtained legally via web-scraping. Even if the Nobel Committee disliked it, legally obtained information is fair game. 2) “All these prediction markets are doing is aggregating sentiment on the news.” This is easy to debunk. Prediction markets do aggregate information, but not merely sentiment or headlines. That’s likely why CNN and CNBC partnered with Kalshi. News is filtered through editors, incentives, and bias. Taking headlines at face value is not a winning trading strategy. Savvy traders treat news as one input among many variables. If a headline says “Poll X shows Clinton up 10 points,” markets may adjust, but they don’t blindly price the headline. They factor in other variables. I’d argue markets are often smarter than the news. Domer❤️‍🔥 has even argued that Fed markets on Kalshi are more accurate than CME due to traders like himself making them more efficient, and I think he’s right. 3) “The only way you can get something not in the news from these markets is if someone with non-news information trades, which is AKA inside information.” Merriam-Webster defines insider information as “information not known to the public that one has obtained by virtue of being an insider.” You can obtain non-news information without being an insider. This overlaps with point one, but here’s a concrete example. For the recent TN-07 special election, I traveled to TN-07 and spoke with voters leaving early-voting sites and with everyday residents. I learned how little awareness there was that a special election was even happening, and how voters were thinking about the race. That information wasn’t in the news, but it informed how I traded. I’m not an insider. This was “alpha hunting” through firsthand observation. Almost every serious prediction market trader has similar stories. This is certainly not "insider trading." I’m genuinely curious to hear your thoughts, Coffeezilla, and hope for a good-faith dialogue. I hope you are doing well!

Benjamin Freeman

80,021 Aufrufe • vor 8 Monaten

THIS GUY REALLY "HACKED" POLYMARKET. The guy specializes in weather markets - and just a few week after getting started, he made 1,340 today. The most interesting thing isn't how much he made, but how: In 9 out of 10 trades, he bought the shares for 0 cents - he got them for free - and after the market settled, he sold them for 100. i.e., almost minimal risk with maximum profit But how is that possible? To be honest, I'm not entirely sure myself.
0:25

THIS GUY REALLY "HACKED" POLYMARKET. The guy specializes in weather markets - and just a few week after getting started, he made 1,340 today. The most interesting thing isn't how much he made, but how: In 9 out of 10 trades, he bought the shares for 0 cents - he got them for free - and after the market settled, he sold them for 100. i.e., almost minimal risk with maximum profit But how is that possible? To be honest, I'm not entirely sure myself.

Dekos

17,363 Aufrufe • vor 4 Monaten

🇺🇸 POLYMARKET FOUNDER DECLARED VICTORY FOR ALL PREDICTION MARKETS: “IT’S THE MOST ACCURATE THING WE HAVE AS MANKIND RIGHT NOW.” And he’s not exaggerating, he’s just stating facts. While every legacy pollster and cable news talking head was screaming “dead heat,” Polymarket had Trump at 70% weeks before the election. While the media insisted Biden was “sharp as ever,” Polymarket had “Biden drops out” spiking to 70%+ DURING THE DEBATE, months before it actually happened. Polymarket CEO, Shayne Coplan: “It is not a poll. Polymarket is trying to predict the outcome… The question people actually want to know.” Skin in the game beats wishful thinking every single time. When real money is on the line, the crowd stops lying to itself and starts telling the brutal truth. Polymarket didn’t just beat the polls, it embarrassed them, humiliated them, and buried them. And now the whole world is waking up: prediction markets are the new oracle. The age of fake polls and scripted narratives is over. The age of truth-through-betting just began. Welcome to the future, boomers. Polymarket is the crystal ball, and it never blinks. Source: 60 Minutes
2:03

🇺🇸 POLYMARKET FOUNDER DECLARED VICTORY FOR ALL PREDICTION MARKETS: “IT’S THE MOST ACCURATE THING WE HAVE AS MANKIND RIGHT NOW.” And he’s not exaggerating, he’s just stating facts. While every legacy pollster and cable news talking head was screaming “dead heat,” Polymarket had Trump at 70% weeks before the election. While the media insisted Biden was “sharp as ever,” Polymarket had “Biden drops out” spiking to 70%+ DURING THE DEBATE, months before it actually happened. Polymarket CEO, Shayne Coplan: “It is not a poll. Polymarket is trying to predict the outcome… The question people actually want to know.” Skin in the game beats wishful thinking every single time. When real money is on the line, the crowd stops lying to itself and starts telling the brutal truth. Polymarket didn’t just beat the polls, it embarrassed them, humiliated them, and buried them. And now the whole world is waking up: prediction markets are the new oracle. The age of fake polls and scripted narratives is over. The age of truth-through-betting just began. Welcome to the future, boomers. Polymarket is the crystal ball, and it never blinks. Source: 60 Minutes

Mario Nawfal

624,970 Aufrufe • vor 9 Monaten

This trader found a LOOPHOLE in weather markets He constantly turns $5 or $10 into THOUSANDS With +25,000% PnL... And yes, he keeps 78% Win Rate after 2,000+ trades He's buying 0.01% events and wins almost every time Here's how he does it exactly: You might think he's just lucky, but that's WRONG. He literally wins 8/10 predictions making over 100x. The real answer was shared by me MONTHS ago. This trader is probably the owner of the best weather prediction bot. He integrated public forecast APIs with Polymarket. So now his bot is tracking mispriced weather markets 24/7. Whenever there's a 1% chance of a weather event that should realistically be 50%+, he knows about it first. There are multiple public forecasts that are not used by Polymarket traders. And that's the edge. Those who use them know about temperature shifts minutes (sometimes even hours) before Polymarket is pricing them. I told it multiple times already, but most people are too lazy to try it. This guy isn't. His profile: [ Leaving a full copy trading guide quoted below. Probably one of the best wallets worth following.
0:58

This trader found a LOOPHOLE in weather markets He constantly turns $5 or $10 into THOUSANDS With +25,000% PnL... And yes, he keeps 78% Win Rate after 2,000+ trades He's buying 0.01% events and wins almost every time Here's how he does it exactly: You might think he's just lucky, but that's WRONG. He literally wins 8/10 predictions making over 100x. The real answer was shared by me MONTHS ago. This trader is probably the owner of the best weather prediction bot. He integrated public forecast APIs with Polymarket. So now his bot is tracking mispriced weather markets 24/7. Whenever there's a 1% chance of a weather event that should realistically be 50%+, he knows about it first. There are multiple public forecasts that are not used by Polymarket traders. And that's the edge. Those who use them know about temperature shifts minutes (sometimes even hours) before Polymarket is pricing them. I told it multiple times already, but most people are too lazy to try it. This guy isn't. His profile: [ Leaving a full copy trading guide quoted below. Probably one of the best wallets worth following.

Dexter's Lab

41,376 Aufrufe • vor 6 Monaten

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!
0:41

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!

Oracle Boar

155,166 Aufrufe • vor 1 Monat

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.
0:39

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.

Oracle Boar

78,062 Aufrufe • vor 13 Tagen

🚨🇺🇸 Trump on prediction markets: "The whole world has become somewhat of a casino. I am not happy with any of that stuff. They have predictive markets. It's a crazy world." The timing is LOUD. A Special Forces soldier was just arrested for betting on Polymarket about Maduro's capture. He pocketed $400,000. It also lands in the middle of mounting allegations that someone has been short-selling oil and dumping S&P futures minutes before Trump's own announcements on Iran. Three times this month alone.
0:39

🚨🇺🇸 Trump on prediction markets: "The whole world has become somewhat of a casino. I am not happy with any of that stuff. They have predictive markets. It's a crazy world." The timing is LOUD. A Special Forces soldier was just arrested for betting on Polymarket about Maduro's capture. He pocketed $400,000. It also lands in the middle of mounting allegations that someone has been short-selling oil and dumping S&P futures minutes before Trump's own announcements on Iran. Three times this month alone.

Mario Nawfal

2,292,554 Aufrufe • vor 4 Monaten

A study proved that $40 million was extracted from Polymarket in one year using a single mathematical formula I found a wallet that is using it right now on Iran war markets and made $1.4M in one week. Most people on Polymarket try to predict the future. Will there be a war. Who will win the election. What will happen next. I spent months doing the same thing. Reading news. Watching debates. Building my little models of what I thought should happen. And losing money. Not because I was wrong about events. Because I was wrong about the game itself. The game is not about predictions. And the wallet I'm about to show you is living proof. Three weeks ago I pulled the full trade history of this wallet: What I saw at first didn't make sense. He was opening the same market more than 30 times. US strikes Iran by January 11. US strikes Iran by January 12. January 13. January 14. January 15. January 16. January 17. The same event. Different dates. Over and over. First thought: this person is obsessed with Iran. Second thought: this person doesn't care about Iran at all. Here's what he's actually doing. Polymarket creates separate markets for the same event with different deadlines. Will the US strike Iran by March. By April. By June. These are not independent questions. If the strike happens in March then April and June automatically resolve to YES as well. But Polymarket prices each market separately. And the crowd prices them emotionally. Fear spikes on Tuesday night because someone tweeted something. One market jumps. The others lag behind. For a few minutes and sometimes hours prices on related markets stop converging. When you buy NO across multiple dates and the total cost is 94 cents and the guaranteed payout is $1 regardless of what happens you're not betting. You're collecting a 6% return on mathematical inevitability. That's the entire strategy. He buys dollars for 94 cents. I checked his numbers. On the Iran series alone he pulled $247,000 in realized profit across seven markets with different dates. Average purchase price of NO positions from 72 to 95 cents. Each one resolved at $1. The biggest hit was the government shutdown market. $88,000 in profit. Same logic. Buy both sides when the total cost is less than a dollar. One side pays. Math does the rest. 85% of his capital is in political markets. Wars. Elections. Geopolitics. Not because he has strong geopolitical convictions. Because political markets on Polymarket are where the math breaks most often. Why political markets specifically? Because they generate the most emotion. When CNN runs breaking news about Iran at 11 PM thousands of people rush to buy YES on the nearest date. They overbid the price. They panic. They push one market out of line with the rest. That panic is his paycheck. And now the part that actually matters. I dug deeper into how this type of arbitrage works at scale and found a study that made everything click. A team analyzed every trade on Polymarket over 12 months. They found 17,218 market conditions. 41% of them had an exploitable pricing error. And the total profit extracted by arbitrageurs was $40 million. The top single wallet made $2 million using one algorithm. The Frank-Wolfe method. I'll explain without math because the concept is simple even if the calculations aren't. Imagine you walk into a store that sells lottery tickets for 7 different drawings. Each ticket is priced separately. The store doesn't coordinate prices between drawings. You notice that if you buy a certain combination of tickets across all 7 drawings the total cost is $94 but you're guaranteed to win exactly $100 no matter which drawing hits. You don't need to predict which drawing will win. You just need to notice that the store mispriced the tickets. Here's Frank-Wolfe in one sentence. It scans thousands of related markets simultaneously and finds combinations where the total price is less than the guaranteed payout. Then it calculates the exact amounts to buy on each side to maximize the spread. The reason a human can't do this manually is scale. There are hundreds of active markets on Polymarket. Many are connected by logic. If event A happens then event B must also happen. If candidate X wins state Y then the national result shifts. The number of possible combinations grows exponentially. While you're checking 10 markets by hand the algorithm has scanned 17,000. What anoin123 does is a manual version of this. He picks one cluster of related markets like the Iran date series and runs the logic in his head. Buy NO across seven dates. Total cost less than a dollar. Wait. Collect. The automated version does the same thing but across all markets on the platform simultaneously. My personal takeaway after three weeks of studying this. I spent months trying to be smarter than the crowd. Reading polls. Watching news. Forming opinions. And the whole time there was a category of traders who had zero opinions about anything. They just waited for the crowd to misprice related markets and collected the difference. The uncomfortable realization is that prediction markets are not actually about predictions for those who make the most money. They're about math. And the math breaks every day because people trade on emotions and the platform prices markets independently of each other. I don't have the infrastructure to run Frank-Wolfe at scale. But I don't need to. Wallets like anoin123 do this in plain sight. Every trade on the blockchain. Every entry price. Every exit. Every timestamp. I stopped trying to predict events. I started watching wallets that make money regardless of what happens. The difference in my results is so stark it's uncomfortable to think about. If you want to understand the full math behind this the study is publicly available. Search for Arbitrage in Prediction Markets on arXiv. But the short version is this. Every time the crowd panics about a war or an election and pushes one market out of line with its related markets someone on the other side quietly buys dollars for 94 cents. The question is not whether they'll strike Iran. The question is whether you noticed that seven markets about the same event are priced as if they have nothing to do with each other. That gap is where the money lives.
0:55

A study proved that $40 million was extracted from Polymarket in one year using a single mathematical formula I found a wallet that is using it right now on Iran war markets and made $1.4M in one week. Most people on Polymarket try to predict the future. Will there be a war. Who will win the election. What will happen next. I spent months doing the same thing. Reading news. Watching debates. Building my little models of what I thought should happen. And losing money. Not because I was wrong about events. Because I was wrong about the game itself. The game is not about predictions. And the wallet I'm about to show you is living proof. Three weeks ago I pulled the full trade history of this wallet: What I saw at first didn't make sense. He was opening the same market more than 30 times. US strikes Iran by January 11. US strikes Iran by January 12. January 13. January 14. January 15. January 16. January 17. The same event. Different dates. Over and over. First thought: this person is obsessed with Iran. Second thought: this person doesn't care about Iran at all. Here's what he's actually doing. Polymarket creates separate markets for the same event with different deadlines. Will the US strike Iran by March. By April. By June. These are not independent questions. If the strike happens in March then April and June automatically resolve to YES as well. But Polymarket prices each market separately. And the crowd prices them emotionally. Fear spikes on Tuesday night because someone tweeted something. One market jumps. The others lag behind. For a few minutes and sometimes hours prices on related markets stop converging. When you buy NO across multiple dates and the total cost is 94 cents and the guaranteed payout is $1 regardless of what happens you're not betting. You're collecting a 6% return on mathematical inevitability. That's the entire strategy. He buys dollars for 94 cents. I checked his numbers. On the Iran series alone he pulled $247,000 in realized profit across seven markets with different dates. Average purchase price of NO positions from 72 to 95 cents. Each one resolved at $1. The biggest hit was the government shutdown market. $88,000 in profit. Same logic. Buy both sides when the total cost is less than a dollar. One side pays. Math does the rest. 85% of his capital is in political markets. Wars. Elections. Geopolitics. Not because he has strong geopolitical convictions. Because political markets on Polymarket are where the math breaks most often. Why political markets specifically? Because they generate the most emotion. When CNN runs breaking news about Iran at 11 PM thousands of people rush to buy YES on the nearest date. They overbid the price. They panic. They push one market out of line with the rest. That panic is his paycheck. And now the part that actually matters. I dug deeper into how this type of arbitrage works at scale and found a study that made everything click. A team analyzed every trade on Polymarket over 12 months. They found 17,218 market conditions. 41% of them had an exploitable pricing error. And the total profit extracted by arbitrageurs was $40 million. The top single wallet made $2 million using one algorithm. The Frank-Wolfe method. I'll explain without math because the concept is simple even if the calculations aren't. Imagine you walk into a store that sells lottery tickets for 7 different drawings. Each ticket is priced separately. The store doesn't coordinate prices between drawings. You notice that if you buy a certain combination of tickets across all 7 drawings the total cost is $94 but you're guaranteed to win exactly $100 no matter which drawing hits. You don't need to predict which drawing will win. You just need to notice that the store mispriced the tickets. Here's Frank-Wolfe in one sentence. It scans thousands of related markets simultaneously and finds combinations where the total price is less than the guaranteed payout. Then it calculates the exact amounts to buy on each side to maximize the spread. The reason a human can't do this manually is scale. There are hundreds of active markets on Polymarket. Many are connected by logic. If event A happens then event B must also happen. If candidate X wins state Y then the national result shifts. The number of possible combinations grows exponentially. While you're checking 10 markets by hand the algorithm has scanned 17,000. What anoin123 does is a manual version of this. He picks one cluster of related markets like the Iran date series and runs the logic in his head. Buy NO across seven dates. Total cost less than a dollar. Wait. Collect. The automated version does the same thing but across all markets on the platform simultaneously. My personal takeaway after three weeks of studying this. I spent months trying to be smarter than the crowd. Reading polls. Watching news. Forming opinions. And the whole time there was a category of traders who had zero opinions about anything. They just waited for the crowd to misprice related markets and collected the difference. The uncomfortable realization is that prediction markets are not actually about predictions for those who make the most money. They're about math. And the math breaks every day because people trade on emotions and the platform prices markets independently of each other. I don't have the infrastructure to run Frank-Wolfe at scale. But I don't need to. Wallets like anoin123 do this in plain sight. Every trade on the blockchain. Every entry price. Every exit. Every timestamp. I stopped trying to predict events. I started watching wallets that make money regardless of what happens. The difference in my results is so stark it's uncomfortable to think about. If you want to understand the full math behind this the study is publicly available. Search for Arbitrage in Prediction Markets on arXiv. But the short version is this. Every time the crowd panics about a war or an election and pushes one market out of line with its related markets someone on the other side quietly buys dollars for 94 cents. The question is not whether they'll strike Iran. The question is whether you noticed that seven markets about the same event are priced as if they have nothing to do with each other. That gap is where the money lives.

Blaze

31,373 Aufrufe • vor 6 Monaten

DROPS E39: Worm - The permissionless truth machine Nass Diba studied quantum physics, worked at Facebook, then left to build in crypto. He's now building Worm - a permissionless prediction market on Solana with leverage. His thesis: prediction markets are the only mechanism that consistently surfaces truth, and they're about to matter more than ever. He grew up in Iran under a dictatorship. He watched state TV claim there was no inflation while the money in people's pockets shrank. That's not a metaphor for him - it's the problem he's building to solve. We talk about: - Why CNN and Fox both showed different election results in 2024 - Growing up in Iran and experiencing information asymmetry under dictatorship firsthand - Building a Poly Market Telegram mini app in September 2024 and getting 56,000 users overnight - Why 90% of those users weren't American - and what that revealed about the technology - How leverage works on prediction markets, why it took 9 months to build, and what liquidation actually means when there's no price - just probability - Why Polymarket and Kalshi are scratching the surface of what's possible - Prediction markets as the engagement layer for Web3 - and what Worm is launching on HyperLiquid HIP-4 And much more… Timestamps: 0:00 Introduction 1:17 Welcome to DROPS 1:57 Prediction Markets in 2026 3:08 Can the crowd be wrong? 4:26 Money Creates Better Truth Discovery 5:22 Who is Nass? 5:55 Growing up in Iran 6:52 Entered Crypto in 2019 8:05 Discovering Prediction Markets 10:08 Signal Behind the 2024 Elections 11:59 How Prediction Markets Disrupt Traditional Media 13:16 Traditional Media Prioritizes Incentives Over Truth 17:33 Polymarket vs Kalshi: Which Model Wins? 18:25 Why is Kalshi or Polymarket enough? 19:43 Lessons Learned Building on Polymarket 21:07 Building Worm on Solana 21:56 What Is Worm and its special elements? 23:36 How Leverage Works on Prediction Markets 25:29 Hedging 27:33 Prediction Markets vs Options & Perps 29:15 How Liquidations Work 31:13 Why Leverage is more than a Gimmick 33:04 Building Leverage Was Harder Than Expected 34:12 Solving Liquidity Problem 36:05 How Worm Acquires Users 36:59 Inflection Point for Prediction Markets 39:06 Why Worm chose Solana 40:24 Becoming the Hyperliquid of Prediction Markets 42:26 Solana vs Hyperliquid: Which Wins? 45:00 Conclusion
46:11

DROPS E39: Worm - The permissionless truth machine Nass Diba studied quantum physics, worked at Facebook, then left to build in crypto. He's now building Worm - a permissionless prediction market on Solana with leverage. His thesis: prediction markets are the only mechanism that consistently surfaces truth, and they're about to matter more than ever. He grew up in Iran under a dictatorship. He watched state TV claim there was no inflation while the money in people's pockets shrank. That's not a metaphor for him - it's the problem he's building to solve. We talk about: - Why CNN and Fox both showed different election results in 2024 - Growing up in Iran and experiencing information asymmetry under dictatorship firsthand - Building a Poly Market Telegram mini app in September 2024 and getting 56,000 users overnight - Why 90% of those users weren't American - and what that revealed about the technology - How leverage works on prediction markets, why it took 9 months to build, and what liquidation actually means when there's no price - just probability - Why Polymarket and Kalshi are scratching the surface of what's possible - Prediction markets as the engagement layer for Web3 - and what Worm is launching on HyperLiquid HIP-4 And much more… Timestamps: 0:00 Introduction 1:17 Welcome to DROPS 1:57 Prediction Markets in 2026 3:08 Can the crowd be wrong? 4:26 Money Creates Better Truth Discovery 5:22 Who is Nass? 5:55 Growing up in Iran 6:52 Entered Crypto in 2019 8:05 Discovering Prediction Markets 10:08 Signal Behind the 2024 Elections 11:59 How Prediction Markets Disrupt Traditional Media 13:16 Traditional Media Prioritizes Incentives Over Truth 17:33 Polymarket vs Kalshi: Which Model Wins? 18:25 Why is Kalshi or Polymarket enough? 19:43 Lessons Learned Building on Polymarket 21:07 Building Worm on Solana 21:56 What Is Worm and its special elements? 23:36 How Leverage Works on Prediction Markets 25:29 Hedging 27:33 Prediction Markets vs Options & Perps 29:15 How Liquidations Work 31:13 Why Leverage is more than a Gimmick 33:04 Building Leverage Was Harder Than Expected 34:12 Solving Liquidity Problem 36:05 How Worm Acquires Users 36:59 Inflection Point for Prediction Markets 39:06 Why Worm chose Solana 40:24 Becoming the Hyperliquid of Prediction Markets 42:26 Solana vs Hyperliquid: Which Wins? 45:00 Conclusion

MR SHIFT 🦁

31,088 Aufrufe • vor 2 Monaten