Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

New Polymarket ecosystem review: Polyment Just tested this new dashboard and it’s packing a surprising amount of functionality for a fresh release: • Top Categories by Liquidity – quick view of where the biggest money sits • Top Markets – real-time highest-volume bets • Closing Soon – fast way... to spot last-minute opportunities • Most Active Wallets – 24h trader breakdown, win/loss counts, average PnL • Whale Alert – live tracking of $10k+ positions + history of the latest 50 whale moves • AI Assistant – Grok + OpenAI fallback, detects markets by ID/keywords, generates commands automatically 🔗 The product is still brand-new, but the direction looks promising – let’s see how fast they ship the next upgrades BUILD ON POLYMARKETshow more

Mr. Buzzoni

22,519 subscribers

14,720 views • 9 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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

AdiiX

1,642,911 views • 4 months ago

OpenClaw 2026.3.7 dropped 13 hours ago i immediately told it: "build a quant hedging bot for 15min BTC" $800 → $14,200 overnight new release has insane features: - GPT-5.4 + Gemini 3.1 flash - pluggable context engines - gateway auth fixes i saw the changelog and had one thought "what if i use the new context engine to track whale movements in real time?" gave it one prompt at 2 AM: "use the new context features to build a hedging system that front runs whale wallets on polymarket 15min BTC markets" 38 minutes later the bot was live here's what it does: - watches top 50 polymarket wallets - when 3+ whales enter same position within 10 seconds - bot enters 2-3 seconds before price moves then immediately hedges opposite side example: > whale wallet buys YES at 41¢ > bot catches it in 2.1 seconds > enters YES at 42¢ > price pumps to 68¢ > bot buys NO at 54¢ total cost: $0.96 payout: $1.00 profit: 4% locked > it ran this 187 times overnight > zero directional risk > pure arbitrage on whale flow the new pluggable context engine is the cheat code old openclaw couldn't process wallet data this fast results from first 13 hours: - 187 hedged pairs executed - 4.2% average profit per cycle - $800 → $14,200 biggest single cycle: +$890 the bot doesn't guess direction it follows smart money then hedges while everyone was reading the changelog i was already printing does anyone else think the new release is actually broken? this feels too easy

OpenClaw 2026.3.7 dropped 13 hours ago i immediately told it: "build a quant hedging bot for 15min BTC" $800 → $14,200 overnight new release has insane features: - GPT-5.4 + Gemini 3.1 flash - pluggable context engines - gateway auth fixes i saw the changelog and had one thought "what if i use the new context engine to track whale movements in real time?" gave it one prompt at 2 AM: "use the new context features to build a hedging system that front runs whale wallets on polymarket 15min BTC markets" 38 minutes later the bot was live here's what it does: - watches top 50 polymarket wallets - when 3+ whales enter same position within 10 seconds - bot enters 2-3 seconds before price moves then immediately hedges opposite side example: > whale wallet buys YES at 41¢ > bot catches it in 2.1 seconds > enters YES at 42¢ > price pumps to 68¢ > bot buys NO at 54¢ total cost: $0.96 payout: $1.00 profit: 4% locked > it ran this 187 times overnight > zero directional risk > pure arbitrage on whale flow the new pluggable context engine is the cheat code old openclaw couldn't process wallet data this fast results from first 13 hours: - 187 hedged pairs executed - 4.2% average profit per cycle - $800 → $14,200 biggest single cycle: +$890 the bot doesn't guess direction it follows smart money then hedges while everyone was reading the changelog i was already printing does anyone else think the new release is actually broken? this feels too easy

ZER

121,886 views • 6 months ago

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move

VALIX

359,479 views • 7 days ago

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

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

Recogard

14,162 views • 3 months ago

Polymarket vs Binance BTC charts are DIFFERENT A millisecond gap generates $100k daily for bots Those who noticed it are quietly printing THOUSANDS Open APIs + ClawdBot = a 24/7 goldmine Here’s what you didn’t know about 5-minute markets: (and how you can use it too) Stream 1-second Binance spot and watch 5-minute BTC markets on Polymarket side by side. You’ll notice something most manual traders miss. When BTC makes a sharp impulse on Binance, Polymarket doesn’t reprice in the same millisecond. It reacts slightly later. For a brief window, spot has already broken structure, but the 5-minute UP/DOWN market still sits around 0.45-0.55 like nothing happened. Orderbook inertia. Human reaction time. UI lag. That gap is the edge. By the time manual traders process the move, click, sign, and confirm, odds already shifted to $0.75. ClawdBots and other automated systems print thousands without predicting direction. They stream Binance tick data in real time and detect micro-impulses on the 1-second level. Then simply hit Polymarket while pricing still reflects the previous state. Some even structure entries on both sides under $1 total to cap downside if volatility snaps back. Near expiry, they rebalance toward the dominant move once probability converges. Over thousands of cycles, milliseconds compound. Take a look at this trader: He makes ~$20k / day trading these markets. Total PnL: $1.6M in two months. Manual traders compete on opinion. Automated systems compete on timing. And timing wins. Check 5 min markets yourself: Trading just entered a new era.

Polymarket vs Binance BTC charts are DIFFERENT A millisecond gap generates $100k daily for bots Those who noticed it are quietly printing THOUSANDS Open APIs + ClawdBot = a 24/7 goldmine Here’s what you didn’t know about 5-minute markets: (and how you can use it too) Stream 1-second Binance spot and watch 5-minute BTC markets on Polymarket side by side. You’ll notice something most manual traders miss. When BTC makes a sharp impulse on Binance, Polymarket doesn’t reprice in the same millisecond. It reacts slightly later. For a brief window, spot has already broken structure, but the 5-minute UP/DOWN market still sits around 0.45-0.55 like nothing happened. Orderbook inertia. Human reaction time. UI lag. That gap is the edge. By the time manual traders process the move, click, sign, and confirm, odds already shifted to $0.75. ClawdBots and other automated systems print thousands without predicting direction. They stream Binance tick data in real time and detect micro-impulses on the 1-second level. Then simply hit Polymarket while pricing still reflects the previous state. Some even structure entries on both sides under $1 total to cap downside if volatility snaps back. Near expiry, they rebalance toward the dominant move once probability converges. Over thousands of cycles, milliseconds compound. Take a look at this trader: He makes ~$20k / day trading these markets. Total PnL: $1.6M in two months. Manual traders compete on opinion. Automated systems compete on timing. And timing wins. Check 5 min markets yourself: Trading just entered a new era.

Oracle Boar

43,454 views • 6 months ago

How to spot "WHALES & INSIDERS" using Arkham. Inspired by Movez , I spent the last 60 minutes putting together a straightforward tutorial on how to find Whales and Insiders on Polymarket. No coding, no bots, no complex strategies. Just manual labor. 👇 Step 1: Go to Arkham( and search for the main Polymarket contract: "0x4bFb41d5B3570DeFd03C39a9A4D8dE6Bd8B8982E" Step 2: Filter the Noise. Look at the live transactions list. Filter by value. The bigger the number, the bigger the whale. Step 3: Pick a transaction you like, copy the wallet address. Step 4: Search their address on and copy the handle of the wallet. Step 5: Search their handle on Polymarket and explore their activity. 🚨 Here is the Alpha (How to spot the difference): The Insider: • Usually has very few trades. • Bets BIG amounts on plays that look "strange" at first. • Look for New Creation Dates + Low Activity. That is your insider. The Whale: • Just a high-conviction player with deep pockets and a huge risk appetite. If you spot a fresh wallet dropping heavy size on a random outcome? Pay attention. Always adjust your moves to your risk appetite. Let me know how it goes. 🥂

How to spot "WHALES & INSIDERS" using Arkham. Inspired by Movez , I spent the last 60 minutes putting together a straightforward tutorial on how to find Whales and Insiders on Polymarket. No coding, no bots, no complex strategies. Just manual labor. 👇 Step 1: Go to Arkham( and search for the main Polymarket contract: "0x4bFb41d5B3570DeFd03C39a9A4D8dE6Bd8B8982E" Step 2: Filter the Noise. Look at the live transactions list. Filter by value. The bigger the number, the bigger the whale. Step 3: Pick a transaction you like, copy the wallet address. Step 4: Search their address on and copy the handle of the wallet. Step 5: Search their handle on Polymarket and explore their activity. 🚨 Here is the Alpha (How to spot the difference): The Insider: • Usually has very few trades. • Bets BIG amounts on plays that look "strange" at first. • Look for New Creation Dates + Low Activity. That is your insider. The Whale: • Just a high-conviction player with deep pockets and a huge risk appetite. If you spot a fresh wallet dropping heavy size on a random outcome? Pay attention. Always adjust your moves to your risk appetite. Let me know how it goes. 🥂

Jayden ⛩️

13,612 views • 8 months ago

$💰 A TRADER just ROBBED POLYMARKET for $600,000! Started with ONLY $500 and EXPLOITED the BITCOIN PRICE DELAY - placing bets BEFORE the odds UPDATED! $500 → $600K in hours PURE GENIUS HACK! Who’s NEXT?! Trader Turns $500 into $600,000 on Polymarket in Hours – The Bitcoin Price Delay “Life Hack” That’s Going Viral A mysterious trader may have just pulled off what many in the crypto world are calling the ultimate prediction‑market coup — turning a modest $500 into roughly $600,000 in a single session by exploiting a subtle timing gap in Bitcoin price updates on Polymarket. Social posts that have erupted across X today describe how the trader repeatedly capitalised on a tiny latency in Polymarket’s short‑term Bitcoin markets, placing bets a split second before the platform adjusted prices to reflect real‑time market moves. How the “Glitch in the Matrix” Worked Polymarket’s popular ultra‑short “Bitcoin Up or Down” markets, which resolve in 5‑ or 15‑minute intervals, pull price data from major exchanges such as Binance. There is a slight delay — typically a few hundred milliseconds to a couple of seconds — between live exchange price movements and when those changes are reflected in Polymarket’s odds. According to observers, the trader (widely believed to be operating an automated bot) exploited this delay by watching the live price on external feeds, submitting bets on the direction of Bitcoin before Polymarket’s internal prices had fully adjusted, and repeating the process many times in rapid succession. One viral post captured the dynamic this way: “He was seeing the move a fraction of a second earlier, basically seeing the future. He entered positions before Polymarket odds could adjust. Over and over again. Not luck. Just speed.” Another read: “This is a man who found a glitch in the matrix and ran it until someone noticed.” Screenshots and wallet growth charts circulating online show an account balance rocketing from an initial $500 to mid‑six figures over a few hours, a dramatic ascent that has captured widespread attention. Not the First Time — But Still Wildly Profitable Polymarket has previously acknowledged the challenges of ultra‑short crypto markets and in early 2026 introduced dynamic fees intended to reduce latency arbitrage opportunities. The recent run suggests either the fix was incomplete or the trader has found a new way to capture fleeting price disparities faster than the protocol can adjust. Importantly, this was not a smart‑contract exploit or a rug pull. The activity described aligns with classic high‑frequency trading principles: exploit microsecond advantages in price information and execution. On Wall Street, quant funds have built entire businesses around similar edges. Here, that edge allegedly appeared accessible to an individual with sufficiently fast infrastructure. The Internet’s Reaction The story has ignited discussion across X, with both Russian and English accounts sharing wallet screenshots and short videos of the trades. Commentary ranges from admiration to criticism of the Polymarket mechanism. One widely shared post states: “A trader found a loophole and robbed the bookmaker Polymarket for $600,000. He exploited the delay in Bitcoin price updates… Started with just $500.” Replies to that thread span “genius” and “Polymarket is cooked,” reflecting a split between those whispering admiration for the execution and those questioning the sustainability of the platform’s design. Whether Polymarket will attempt to retroactively claw back profits, adjust rules or simply patch the vulnerability again remains unsettled. For the moment, the anonymous trader is alternately being hailed as a folk hero and criticised as a parasite of an imperfect system. Moral of the Story In prediction markets where time and information intersect, speed can be money. Today’s episode may turn into a cautionary tale about the refinement of oracle feeds and the race to eliminate latency advantages — or it may become part of crypto folklore, a dramatic demonstration of how imperfect markets can be bent by those who read the technical seams most closely.$

💰 A TRADER just ROBBED POLYMARKET for $600,000! Started with ONLY $500 and EXPLOITED the BITCOIN PRICE DELAY - placing bets BEFORE the odds UPDATED! $500 → $600K in hours PURE GENIUS HACK! Who’s NEXT?! Trader Turns $500 into $600,000 on Polymarket in Hours – The Bitcoin Price Delay “Life Hack” That’s Going Viral A mysterious trader may have just pulled off what many in the crypto world are calling the ultimate prediction‑market coup — turning a modest $500 into roughly $600,000 in a single session by exploiting a subtle timing gap in Bitcoin price updates on Polymarket. Social posts that have erupted across X today describe how the trader repeatedly capitalised on a tiny latency in Polymarket’s short‑term Bitcoin markets, placing bets a split second before the platform adjusted prices to reflect real‑time market moves. How the “Glitch in the Matrix” Worked Polymarket’s popular ultra‑short “Bitcoin Up or Down” markets, which resolve in 5‑ or 15‑minute intervals, pull price data from major exchanges such as Binance. There is a slight delay — typically a few hundred milliseconds to a couple of seconds — between live exchange price movements and when those changes are reflected in Polymarket’s odds. According to observers, the trader (widely believed to be operating an automated bot) exploited this delay by watching the live price on external feeds, submitting bets on the direction of Bitcoin before Polymarket’s internal prices had fully adjusted, and repeating the process many times in rapid succession. One viral post captured the dynamic this way: “He was seeing the move a fraction of a second earlier, basically seeing the future. He entered positions before Polymarket odds could adjust. Over and over again. Not luck. Just speed.” Another read: “This is a man who found a glitch in the matrix and ran it until someone noticed.” Screenshots and wallet growth charts circulating online show an account balance rocketing from an initial $500 to mid‑six figures over a few hours, a dramatic ascent that has captured widespread attention. Not the First Time — But Still Wildly Profitable Polymarket has previously acknowledged the challenges of ultra‑short crypto markets and in early 2026 introduced dynamic fees intended to reduce latency arbitrage opportunities. The recent run suggests either the fix was incomplete or the trader has found a new way to capture fleeting price disparities faster than the protocol can adjust. Importantly, this was not a smart‑contract exploit or a rug pull. The activity described aligns with classic high‑frequency trading principles: exploit microsecond advantages in price information and execution. On Wall Street, quant funds have built entire businesses around similar edges. Here, that edge allegedly appeared accessible to an individual with sufficiently fast infrastructure. The Internet’s Reaction The story has ignited discussion across X, with both Russian and English accounts sharing wallet screenshots and short videos of the trades. Commentary ranges from admiration to criticism of the Polymarket mechanism. One widely shared post states: “A trader found a loophole and robbed the bookmaker Polymarket for $600,000. He exploited the delay in Bitcoin price updates… Started with just $500.” Replies to that thread span “genius” and “Polymarket is cooked,” reflecting a split between those whispering admiration for the execution and those questioning the sustainability of the platform’s design. Whether Polymarket will attempt to retroactively claw back profits, adjust rules or simply patch the vulnerability again remains unsettled. For the moment, the anonymous trader is alternately being hailed as a folk hero and criticised as a parasite of an imperfect system. Moral of the Story In prediction markets where time and information intersect, speed can be money. Today’s episode may turn into a cautionary tale about the refinement of oracle feeds and the race to eliminate latency advantages — or it may become part of crypto folklore, a dramatic demonstration of how imperfect markets can be bent by those who read the technical seams most closely.

Russian Market

36,649 views • 5 months ago

📊 Staking Analytics Just Got a Major Upgrade on Loky Terminal STAKE ARENA & STAKE GODS ARE HERE - The new dashboard gives you a granular look into staking across Genesis + OG agents — from top wallets to net flow dynamics. Here's what we're seeing: – Top Stakers by $ value – Dev vs Non-dev wallet activity – Daily staking vs unstaking flows – Net Stake Ratio (Genesis vs OG) – 24H + Weekly leaderboards – Virgen & Staker growth trends – Gamified insights you can act on 🟡 Staking Momentum Is Holding Strong Total stakers crossed 79,000 as of July 1st, 2025. Despite short-term dips, the weekly staker trend remains up, showing strong interest in Virtuals ecosystem participation. 📈 Genesis Net Stake Is Tightening Total stake has hit 24.15B, but net stake is flattening at 13.72B, showing ~43% of staked volume has been withdrawn. 🏆 Top 24H Movers $SIYA saw the biggest 24H spike with 567M staked by just 2 wallets — possibly a major whale entry. $WACH, $DARE, and $AURA continue to attract high wallet counts, confirming consistent community traction. 📊 OG vs Genesis Agent Dynamics OG and Genesis agents are neck-and-neck in net volume. Whale positioning continues to shape new staking flows. 🧠 Whale Activity Insights The top wallet staked $3.6M across BYTE. Wallets are increasingly diversifying across dozens of agents like WACH, SIYA, SOLACE, ROOM, OOPZ, etc. Some top stakers are now active across 30+ agents, signaling high conviction in ACP token launches. Unstaking Trends - Unstaking volume rose to 10.4B, highest so far. - Most visible in June’s last 10 days—likely synced with agent unlocks or short-term speculation. - Yet daily new stakers bounced back to 3.7K on July 1st, indicating rotational staking rather than exit. Key Takeaway The ecosystem is entering a more dynamic, rotational phase — high inflow from new stakers, rising whale concentration in top agents, and sharper patterns in staking/unstaking cycles. If you're building, tracking, or planning to stake smart— The Loky Terminal is all you need →

📊 Staking Analytics Just Got a Major Upgrade on Loky Terminal STAKE ARENA & STAKE GODS ARE HERE - The new dashboard gives you a granular look into staking across Genesis + OG agents — from top wallets to net flow dynamics. Here's what we're seeing: – Top Stakers by $ value – Dev vs Non-dev wallet activity – Daily staking vs unstaking flows – Net Stake Ratio (Genesis vs OG) – 24H + Weekly leaderboards – Virgen & Staker growth trends – Gamified insights you can act on 🟡 Staking Momentum Is Holding Strong Total stakers crossed 79,000 as of July 1st, 2025. Despite short-term dips, the weekly staker trend remains up, showing strong interest in Virtuals ecosystem participation. 📈 Genesis Net Stake Is Tightening Total stake has hit 24.15B, but net stake is flattening at 13.72B, showing ~43% of staked volume has been withdrawn. 🏆 Top 24H Movers $SIYA saw the biggest 24H spike with 567M staked by just 2 wallets — possibly a major whale entry. $WACH, $DARE, and $AURA continue to attract high wallet counts, confirming consistent community traction. 📊 OG vs Genesis Agent Dynamics OG and Genesis agents are neck-and-neck in net volume. Whale positioning continues to shape new staking flows. 🧠 Whale Activity Insights The top wallet staked $3.6M across BYTE. Wallets are increasingly diversifying across dozens of agents like WACH, SIYA, SOLACE, ROOM, OOPZ, etc. Some top stakers are now active across 30+ agents, signaling high conviction in ACP token launches. Unstaking Trends - Unstaking volume rose to 10.4B, highest so far. - Most visible in June’s last 10 days—likely synced with agent unlocks or short-term speculation. - Yet daily new stakers bounced back to 3.7K on July 1st, indicating rotational staking rather than exit. Key Takeaway The ecosystem is entering a more dynamic, rotational phase — high inflow from new stakers, rising whale concentration in top agents, and sharper patterns in staking/unstaking cycles. If you're building, tracking, or planning to stake smart— The Loky Terminal is all you need →

Loky | Agent Infra

24,557 views • 1 year ago

I ASKED MIROFISH TO LOOK AT 10,000+ POLYMARKET WALLETS this is what stood out ↓ > dense clusters of high-EV actors > clusters of top traders focusing on similar markets > wallets reacting to the same info within short windows > patterns repeating across different events nothing magical > but definitely not random it starts to look like a simple multi-agent system: > people updating beliefs > acting on new information > slowly pushing prices toward probability in other words: > a live network of Bayesian updates the insight is simple but uncomfortable: > price is just the surface > the real signal is in how agents interact once you model that layer > you’re not just reading markets > you’re reading the system behind them you can explore the same wallets here: and the interesting part: > edges don’t come from predicting events > they come from spotting where the network hasn’t converged yet

I ASKED MIROFISH TO LOOK AT 10,000+ POLYMARKET WALLETS this is what stood out ↓ > dense clusters of high-EV actors > clusters of top traders focusing on similar markets > wallets reacting to the same info within short windows > patterns repeating across different events nothing magical > but definitely not random it starts to look like a simple multi-agent system: > people updating beliefs > acting on new information > slowly pushing prices toward probability in other words: > a live network of Bayesian updates the insight is simple but uncomfortable: > price is just the surface > the real signal is in how agents interact once you model that layer > you’re not just reading markets > you’re reading the system behind them you can explore the same wallets here: and the interesting part: > edges don’t come from predicting events > they come from spotting where the network hasn’t converged yet

Mr. Buzzoni

69,698 views • 5 months ago

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

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 views • 2 months ago

You should know that Hyperliquid just launched HIP-4 on the mainnet last week. Some dubbed it as the Polymarket killer, but it's more than that. Let's check the early figures for the first week so far (credit to Loris and Memento Research ): → $10.41M total trading volume → 124k trades, 4k unique traders and 167k fill count → $3.81M settlement volume → ~97% activities came from existing trader wallets → ~92% trades driven by retail (<$1k size), notional is whale-heavy → Top 10 wallets drove ~32% of $25.6m notional from just 0.27% of the trader base For full coverage, you can check our dashboard for HIP-4 Ecosystem Map here: - As for the list protocols built on HIP-4 (and included in the dashboard) here are the them (credit to kirbycrypto) : (Potential) HIP-4 Deployers - trade.xyz - Markets - Outcome - Nova Markets - Kinetiq Front-ends Live - Stratium - Liquidiction - HyperSwap - hip4.io - Perpmate - HLOS - Junction - Outcome Front-ends - Coming Soon - Heat - Azali - rysk - supurr.app - Chainzy - Tailgate - snakehead - Vegas HL - Hence Markets - Trust Wallet - Deepsense Infrastructures and Others - Native Markets - $USDH quoted assets - SEDA (Oracle) - Pyth Network 🔮 - Quicknode (Data Layer) - W3E Labs (Data Layer) - Ericonomic → (TG Bot) Analytics - Loris → - Liquid Terminal → - DeFilytica → - Allium → - Hydromancer → If anyone is building their projects on HIP-4, you can DM or tag @ me in the comment below so I can add your project in the dashboard. Hyperliquid.

You should know that Hyperliquid just launched HIP-4 on the mainnet last week. Some dubbed it as the Polymarket killer, but it's more than that. Let's check the early figures for the first week so far (credit to Loris and Memento Research ): → $10.41M total trading volume → 124k trades, 4k unique traders and 167k fill count → $3.81M settlement volume → ~97% activities came from existing trader wallets → ~92% trades driven by retail (<$1k size), notional is whale-heavy → Top 10 wallets drove ~32% of $25.6m notional from just 0.27% of the trader base For full coverage, you can check our dashboard for HIP-4 Ecosystem Map here: - As for the list protocols built on HIP-4 (and included in the dashboard) here are the them (credit to kirbycrypto) : (Potential) HIP-4 Deployers - trade.xyz - Markets - Outcome - Nova Markets - Kinetiq Front-ends Live - Stratium - Liquidiction - HyperSwap - hip4.io - Perpmate - HLOS - Junction - Outcome Front-ends - Coming Soon - Heat - Azali - rysk - supurr.app - Chainzy - Tailgate - snakehead - Vegas HL - Hence Markets - Trust Wallet - Deepsense Infrastructures and Others - Native Markets - $USDH quoted assets - SEDA (Oracle) - Pyth Network 🔮 - Quicknode (Data Layer) - W3E Labs (Data Layer) - Ericonomic → (TG Bot) Analytics - Loris → - Liquid Terminal → - DeFilytica → - Allium → - Hydromancer → If anyone is building their projects on HIP-4, you can DM or tag @ me in the comment below so I can add your project in the dashboard. Hyperliquid.

Eli5DeFi

10,889 views • 4 months ago

Why is nobody talking about Polymarket's official API? You open Polymarket Wait for it to load... Click on a market... Wait again... Try to check another one... More waiting... By the time you see the price, it's already stale The opportunity moved while you were clicking through pages Someone else got there first There's a better way // Found the gem hiding in plain sight - library py-clob-client Official from Polymarket. MIT license I spent a week working with multiple markets Checking prices across different positions Monitoring various categories Tracking market movements Then discovered this library Game changer for workflow efficiency // Real example from last week: UI approach: Checking markets one by one through the interface API approach: Monitoring all relevant markets simultaneously with live updates Having comprehensive real-time data makes a meaningful difference Speed and information clarity are valuable advantages // Want to go deeper? Build an arbitrage bot You'll need Rust for execution speed Deploy the server geographically close to Polymarket's infrastructure Every millisecond counts when opportunities last 1-2 seconds. I built mine in Go for monitoring and analysis. Works great for that. But if you're hunting arbitrage at scale against other bots, Rust + low latency setup is the only way. The infrastructure race is real // "But I can't code" With today's AI tools you actually can Cursor, ChatGPT, Claude, Gemini, Kimi, Grok - they write code for you You just describe what you want AI generates it You copy-paste and run Join Polymarket to create: Programming is no longer a barrier Anyone can build now

Why is nobody talking about Polymarket's official API? You open Polymarket Wait for it to load... Click on a market... Wait again... Try to check another one... More waiting... By the time you see the price, it's already stale The opportunity moved while you were clicking through pages Someone else got there first There's a better way // Found the gem hiding in plain sight - library py-clob-client Official from Polymarket. MIT license I spent a week working with multiple markets Checking prices across different positions Monitoring various categories Tracking market movements Then discovered this library Game changer for workflow efficiency // Real example from last week: UI approach: Checking markets one by one through the interface API approach: Monitoring all relevant markets simultaneously with live updates Having comprehensive real-time data makes a meaningful difference Speed and information clarity are valuable advantages // Want to go deeper? Build an arbitrage bot You'll need Rust for execution speed Deploy the server geographically close to Polymarket's infrastructure Every millisecond counts when opportunities last 1-2 seconds. I built mine in Go for monitoring and analysis. Works great for that. But if you're hunting arbitrage at scale against other bots, Rust + low latency setup is the only way. The infrastructure race is real // "But I can't code" With today's AI tools you actually can Cursor, ChatGPT, Claude, Gemini, Kimi, Grok - they write code for you You just describe what you want AI generates it You copy-paste and run Join Polymarket to create: Programming is no longer a barrier Anyone can build now

BuBBliK

44,204 views • 8 months ago

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

Dexter's Lab

517,496 views • 7 months ago

The World Cup is rolling, crypto never stops swinging, and geopolitics keeps rewriting the script in real time. While the pundits argue on TV, the sharp money is already pricing in what happens next. POTS MARKET just launched as the clean, high performance front end built directly on Polymarket architecture. Same deep liquidity and trusted resolutions, but with an interface that actually moves as fast as the news. No clutter. No friction. Just pure edge on the events that matter. Watch the video for the full guide on how it works, then head to or scan the QR code in the video, sign up, deposit, and start trading. World Cup knockout stages, next BTC leg, or the latest flashpoint in global tension, you set the position. The future belongs to those who trade it, not those who watch it. My opinion after in-depth analysis:Pots Market looks like a well-timed frontend evolution on top of Polymarket's solid backbone. By inheriting proven liquidity and resolution mechanisms while focusing on usability and speed, it addresses one of the biggest pain points in prediction markets: clunky interfaces that scare away casual but informed participants. The connection to Polymarket gives it instant credibility and volume that most new platforms struggle years to achieve. With major events like the 2026 World Cup, persistent crypto volatility, and nonstop geopolitical developments providing natural market fuel, the timing feels right. If they execute on the "next generation" claims (cleaner tools, better mobile flow, perhaps tighter integration), this could carve out a meaningful niche for both degen traders and serious forecasters. Early stage still, but the setup is stronger than most launches in this space. Definitely worth a look if you're already in prediction markets or curious about putting skin in the game on real-world outcomes.

The World Cup is rolling, crypto never stops swinging, and geopolitics keeps rewriting the script in real time. While the pundits argue on TV, the sharp money is already pricing in what happens next. POTS MARKET just launched as the clean, high performance front end built directly on Polymarket architecture. Same deep liquidity and trusted resolutions, but with an interface that actually moves as fast as the news. No clutter. No friction. Just pure edge on the events that matter. Watch the video for the full guide on how it works, then head to or scan the QR code in the video, sign up, deposit, and start trading. World Cup knockout stages, next BTC leg, or the latest flashpoint in global tension, you set the position. The future belongs to those who trade it, not those who watch it. My opinion after in-depth analysis:Pots Market looks like a well-timed frontend evolution on top of Polymarket's solid backbone. By inheriting proven liquidity and resolution mechanisms while focusing on usability and speed, it addresses one of the biggest pain points in prediction markets: clunky interfaces that scare away casual but informed participants. The connection to Polymarket gives it instant credibility and volume that most new platforms struggle years to achieve. With major events like the 2026 World Cup, persistent crypto volatility, and nonstop geopolitical developments providing natural market fuel, the timing feels right. If they execute on the "next generation" claims (cleaner tools, better mobile flow, perhaps tighter integration), this could carve out a meaningful niche for both degen traders and serious forecasters. Early stage still, but the setup is stronger than most launches in this space. Definitely worth a look if you're already in prediction markets or curious about putting skin in the game on real-world outcomes.

⚓Michael$on⚓📈🇺🇲🇮🇱

15,919 views • 3 months ago

POLYMARKET COPY TRADING — VIDEO GUIDE (+ wallets I personally follow) I tested many Polymarket bots before settling on this one. Why this bot: Fast execution (<1s) Low commissions Built by an official Polymarket builder Supports both manual trading and copy trading How to use it correctly Start the Telegram bot Top up the generated wallet address Click Copy Trading Click Add Copy Trade Paste the wallet address you want to follow Name the trader (I use labels like “weather guy”, “90% WR”, etc.) Mirroring modes (most important part) There are three options: Fixed If you enter $10, every copied trade will be $10. Percentage If you enter 50% and the trader bets $100, your trade will be $50. Portfolio-weighted If the trader risks 10% of their portfolio, you will also risk 10% of yours. What I recommend Use Fixed amount If the trader uses market orders and makes fewer than 10 trades per day. Use Portfolio-weighted If the trader uses limit orders and makes more than 10 trades per day. I personally do not use percentage mode. Final setup steps Set the maximum copy amount (based on your portfolio size and risk management) Set a price range I usually use 30c–90c to avoid risky trades Always adjust this based on the specific trader Set slippage I use 5% Click Confirm After this, the bot will mirror every trade automatically. Important notes Check trader performance daily Losing streaks happen, remove traders in time Risk management is your responsibility For more detailed guides on how to find strong wallets, check my page. I post good wallets regularly. Wallets I currently track 0x9b979a065641e8cfde3022a30ed2d9415cf55e12 $296k PnL, 96% win rate (bonding), but very high trade frequency 0x8278252ebbf354eca8ce316e680a0eaf02859464 $23k PnL, 73% win rate, solid positioning 0x12d6cccfc7470a3f4bafc53599a4779cbf2cf2a8 $213k PnL, 84% win rate, very high number of limit-order trades 0xd8f8c13644ea84d62e1ec88c5d1215e436eb0f11 $64k PnL, 34% win rate (longshot weather trader) I use PolyGun and recommend it. This bot helps me every day. Always DYOR.

POLYMARKET COPY TRADING — VIDEO GUIDE (+ wallets I personally follow) I tested many Polymarket bots before settling on this one. Why this bot: Fast execution (<1s) Low commissions Built by an official Polymarket builder Supports both manual trading and copy trading How to use it correctly Start the Telegram bot Top up the generated wallet address Click Copy Trading Click Add Copy Trade Paste the wallet address you want to follow Name the trader (I use labels like “weather guy”, “90% WR”, etc.) Mirroring modes (most important part) There are three options: Fixed If you enter $10, every copied trade will be $10. Percentage If you enter 50% and the trader bets $100, your trade will be $50. Portfolio-weighted If the trader risks 10% of their portfolio, you will also risk 10% of yours. What I recommend Use Fixed amount If the trader uses market orders and makes fewer than 10 trades per day. Use Portfolio-weighted If the trader uses limit orders and makes more than 10 trades per day. I personally do not use percentage mode. Final setup steps Set the maximum copy amount (based on your portfolio size and risk management) Set a price range I usually use 30c–90c to avoid risky trades Always adjust this based on the specific trader Set slippage I use 5% Click Confirm After this, the bot will mirror every trade automatically. Important notes Check trader performance daily Losing streaks happen, remove traders in time Risk management is your responsibility For more detailed guides on how to find strong wallets, check my page. I post good wallets regularly. Wallets I currently track 0x9b979a065641e8cfde3022a30ed2d9415cf55e12 $296k PnL, 96% win rate (bonding), but very high trade frequency 0x8278252ebbf354eca8ce316e680a0eaf02859464 $23k PnL, 73% win rate, solid positioning 0x12d6cccfc7470a3f4bafc53599a4779cbf2cf2a8 $213k PnL, 84% win rate, very high number of limit-order trades 0xd8f8c13644ea84d62e1ec88c5d1215e436eb0f11 $64k PnL, 34% win rate (longshot weather trader) I use PolyGun and recommend it. This bot helps me every day. Always DYOR.

Discover

1,020,638 views • 7 months ago

$most Polymarket bots die the same way they quote symmetrically around mid-price price moves they absorb the loss repeat until account is empty the fix has been in academic papers since 2008 Stoikov figured it out studying stock market microstructure the math translates directly to prediction markets here's what actually matters: mid-price is a bad signal it's the average of best bid and ask on thin Polymarket orderbooks that number is almost meaningless what you want is VAMP Volume Adjusted Mid Price you walk into the orderbook depth and calculate the weighted average price for a given volume filters out the gaps, gives you a real reference point then you stop quoting symmetrically the reservation price formula: r = Mid - β × Q Q is your current inventory if you're long YES contracts, r shifts down automatically your bot starts selling YES cheaper and stops buying aggressively target is always flat inventory the spread isn't static either it has two components: volatility premium (widens when market moves fast) microstructure premium (depends on how often orders actually fill) if Polymarket odds start swinging fast, spread widens in real time static spread = guaranteed adverse selection - one more thing Stoikov points out: small tick size markets are where this model actually works large-tick markets (CME futures, liquid ETFs) have massive queues you can't nudge your price by a fraction of a tick without losing your place Polymarket is small-tick by nature binary markets, USDC pricing, sparse orderbooks that's exactly the environment this model was built for the P&L comparison between naive bots and inventory-controlled bots is not close naive strategy: wide distribution, occasional huge wins, regular wipeouts inventory control: tight distribution, consistent positive drift, rare catastrophic losses the "pennies in front of a steamroller" problem doesn't go away but you can see the steamroller coming if you're watching orderbook imbalance when bid volume heavily outweighs ask volume price is about to move up your bot should already be adjusting before the move happens that's the wealth still building the inventory control layer myself using for live execution in the meantime it handles the market scanning and order management while i finish the rest$

most Polymarket bots die the same way they quote symmetrically around mid-price price moves they absorb the loss repeat until account is empty the fix has been in academic papers since 2008 Stoikov figured it out studying stock market microstructure the math translates directly to prediction markets here's what actually matters: mid-price is a bad signal it's the average of best bid and ask on thin Polymarket orderbooks that number is almost meaningless what you want is VAMP Volume Adjusted Mid Price you walk into the orderbook depth and calculate the weighted average price for a given volume filters out the gaps, gives you a real reference point then you stop quoting symmetrically the reservation price formula: r = Mid - β × Q Q is your current inventory if you're long YES contracts, r shifts down automatically your bot starts selling YES cheaper and stops buying aggressively target is always flat inventory the spread isn't static either it has two components: volatility premium (widens when market moves fast) microstructure premium (depends on how often orders actually fill) if Polymarket odds start swinging fast, spread widens in real time static spread = guaranteed adverse selection - one more thing Stoikov points out: small tick size markets are where this model actually works large-tick markets (CME futures, liquid ETFs) have massive queues you can't nudge your price by a fraction of a tick without losing your place Polymarket is small-tick by nature binary markets, USDC pricing, sparse orderbooks that's exactly the environment this model was built for the P&L comparison between naive bots and inventory-controlled bots is not close naive strategy: wide distribution, occasional huge wins, regular wipeouts inventory control: tight distribution, consistent positive drift, rare catastrophic losses the "pennies in front of a steamroller" problem doesn't go away but you can see the steamroller coming if you're watching orderbook imbalance when bid volume heavily outweighs ask volume price is about to move up your bot should already be adjusting before the move happens that's the wealth still building the inventory control layer myself using for live execution in the meantime it handles the market scanning and order management while i finish the rest

cryptovcdegen

19,657 views • 6 months ago

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 views • 6 months ago

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.

Paul Sims

13,570 views • 1 month ago

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

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

slash1s

61,850 views • 3 months ago

This update changed EVERYTHING Polymarket finally added 5-min crypto charts But most traders have NO IDEA what it really means Spoiler: vibe coders will make MILLIONS and retire Here's why: These new markets aren’t long-term bets. They’re binary. > $BTC up or down in the next 5 minutes. > $ETH up or down in 5 minutes. Resolved automatically via Chainlink. Every. Five. Minutes. This turns Polymarket from an event platform into a volatility engine. Manual traders? Probably cooked. In 5-minute windows, price can flip in the final seconds. By the time you click, the edge might be gone. But for bots? This is PARADISE. Why? More cycles: > 15-min = 4 rounds per hour > 5-min = 12 rounds per hour > 3x more opportunities. Early liquidity is thin (~$1k books). Thin books = wider spreads = mispricings. YES + NO < $1 still happens. Micro-arb becomes more frequent. Cross-exchange lag. Polymarket sometimes reacts slower than Binance/Perps. 30-90 second delays = exploitable deltas. Market-making scales harder. Buy $0.05, sell $0.06. Repeat hundreds of times daily. A lot of bots already print 5-10k/day on 15-min markets. Now imagine compressing cycles to 5 minutes. Example ($800k PnL): [ But here’s the catch: edges won’t last. Low competition phase = highest ROI phase. Once infra players deploy Rust + dedicated RPC + co-location… Spreads tighten and alpha shrinks. Polymarket is entering high-frequency territory. And most people still think it’s just a betting site. 5-min markets: [ P.S. Told you to prepare for it weeks ago (check the quoted post). Hope you took your time. Don't miss my next post, will share smth about arb bots.

This update changed EVERYTHING Polymarket finally added 5-min crypto charts But most traders have NO IDEA what it really means Spoiler: vibe coders will make MILLIONS and retire Here's why: These new markets aren’t long-term bets. They’re binary. > $BTC up or down in the next 5 minutes. > $ETH up or down in 5 minutes. Resolved automatically via Chainlink. Every. Five. Minutes. This turns Polymarket from an event platform into a volatility engine. Manual traders? Probably cooked. In 5-minute windows, price can flip in the final seconds. By the time you click, the edge might be gone. But for bots? This is PARADISE. Why? More cycles: > 15-min = 4 rounds per hour > 5-min = 12 rounds per hour > 3x more opportunities. Early liquidity is thin (~$1k books). Thin books = wider spreads = mispricings. YES + NO < $1 still happens. Micro-arb becomes more frequent. Cross-exchange lag. Polymarket sometimes reacts slower than Binance/Perps. 30-90 second delays = exploitable deltas. Market-making scales harder. Buy $0.05, sell $0.06. Repeat hundreds of times daily. A lot of bots already print 5-10k/day on 15-min markets. Now imagine compressing cycles to 5 minutes. Example ($800k PnL): [ But here’s the catch: edges won’t last. Low competition phase = highest ROI phase. Once infra players deploy Rust + dedicated RPC + co-location… Spreads tighten and alpha shrinks. Polymarket is entering high-frequency territory. And most people still think it’s just a betting site. 5-min markets: [ P.S. Told you to prepare for it weeks ago (check the quoted post). Hope you took your time. Don't miss my next post, will share smth about arb bots.

Dexter's Lab

301,527 views • 7 months ago