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QUANT TRADER OPEN-SOURCED THE ENTIRE POLYMARKET STACK prediction markets stopped trying to win users directly. they're buying distribution now, one brokerage deal at a time. partners already have the customers and the brand that's the whole game. the exchange doesn't need traders, it needs someone who already has them... show more

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174,598 просмотров • 2 месяцев назад •via X (Twitter)

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this is pure f*cking AI treasure 5 GitHub repos that give you the trading algo Wall Street pays millions dollars: want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + Claude + these 5 is the setup to test this month. check each repo before you install. save this.

this is pure f*cking AI treasure 5 GitHub repos that give you the trading algo Wall Street pays millions dollars: want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + Claude + these 5 is the setup to test this month. check each repo before you install. save this.

kiosa

22,061 просмотров • 2 дней назад

A Robinhood Chain receipt machine that remembers what the changelog forgets. It's called RUMZO. Most tools show you a builder token's chart. RUMZO shows you its commits and its contract at the same moment, then saves the proof so the story can't be rewritten later. [give it a token address and a public GitHub repo] → Pulls source, tests, docs and manifests at one pinned commit. → Reads launch stage, fees, buyback and locker flags at one pinned block. → Saves both sides as a receipt with commit, block number and observation time. → Run it again later and it diffs the two receipts. If a dev says the tests are done, the fees changed or the locker is on, RUMZO does not read the announcement and guess. It already has the receipt from last time. Which source files changed, whether tests and docs moved with them, which contract settings flipped in between - all of it side by side. Missing data stays marked unknown, nothing gets filled in. Local web UI, a CLI, JSON and Markdown exports. And the whole thing is intentionally READ ONLY. No wallet. No signer. No repo code executed. No buy button. Small raccoon. Lots of receipts. Open source, repo in the first reply ↓

A Robinhood Chain receipt machine that remembers what the changelog forgets. It's called RUMZO. Most tools show you a builder token's chart. RUMZO shows you its commits and its contract at the same moment, then saves the proof so the story can't be rewritten later. [give it a token address and a public GitHub repo] → Pulls source, tests, docs and manifests at one pinned commit. → Reads launch stage, fees, buyback and locker flags at one pinned block. → Saves both sides as a receipt with commit, block number and observation time. → Run it again later and it diffs the two receipts. If a dev says the tests are done, the fees changed or the locker is on, RUMZO does not read the announcement and guess. It already has the receipt from last time. Which source files changed, whether tests and docs moved with them, which contract settings flipped in between - all of it side by side. Missing data stays marked unknown, nothing gets filled in. Local web UI, a CLI, JSON and Markdown exports. And the whole thing is intentionally READ ONLY. No wallet. No signer. No repo code executed. No buy button. Small raccoon. Lots of receipts. Open source, repo in the first reply ↓

Nekt0

57,088 просмотров • 1 месяц назад

this is absolutely f*cking insane Black Rock just leaked 5 GitHub repos that give you the trading desk a fund pays millions for: want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + these five is the setup to test this month. bookmark and share with a friend

this is absolutely f*cking insane Black Rock just leaked 5 GitHub repos that give you the trading desk a fund pays millions for: want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + these five is the setup to test this month. bookmark and share with a friend

kiosa

27,944 просмотров • 3 дней назад

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:

Roan

173,149 просмотров • 22 дней назад

IT TOOK ME 14 HOURS TO INSTALL A TRADING BOT. HERE'S HOW TO DO IT IN 30 MINUTES Polymarket has an official AI agent repo on GitHub. 2,600 stars. Sounds easy. It's not. pysha3 won't compile on Apple Silicon. 4 hours on this alone. Fix: Miniconda with Python 3.11 Polymarket blocks API requests from most countries. No error, just timeout. Fix: VPN. The .env file needs 4 keys: wallet private key, proxy address, OpenAI API key, NewsAPI key. Miss one and nothing works, no useful error. py-clob-client installs fine but the main repo has 21 open issues. Most are dependency conflicts. Last official commit: November 2024. Once it works: the agent pulls live markets, scores them through GPT and trades on its own. Starting cost: $20 USDC on Polygon + $5 OpenAI

IT TOOK ME 14 HOURS TO INSTALL A TRADING BOT. HERE'S HOW TO DO IT IN 30 MINUTES Polymarket has an official AI agent repo on GitHub. 2,600 stars. Sounds easy. It's not. pysha3 won't compile on Apple Silicon. 4 hours on this alone. Fix: Miniconda with Python 3.11 Polymarket blocks API requests from most countries. No error, just timeout. Fix: VPN. The .env file needs 4 keys: wallet private key, proxy address, OpenAI API key, NewsAPI key. Miss one and nothing works, no useful error. py-clob-client installs fine but the main repo has 21 open issues. Most are dependency conflicts. Last official commit: November 2024. Once it works: the agent pulls live markets, scores them through GPT and trades on its own. Starting cost: $20 USDC on Polygon + $5 OpenAI

zostaff

35,611 просмотров • 6 месяцев назад

Congress expands its prediction market insider trading probe to Hyperliquid, Crypto[.]com and others "House Oversight Chair James Comer sent new letters to Crypto[.]com, Hyperliquid, and Aristotle Exchange, as they were already investigating Kalshi and Polymarket. That investigation began in May. The committee's already received nearly 1,000 documents and participated in five briefings with all of these companies." "This matters because they're trying to determine how much insider trading there is in prediction markets. And we know that there's a lot. All jokes aside, it's very easy to game certain prediction markets, and that's likely a problem." "We saw Trump's teleprompter guy, and the army officer who bet on the invasion of Venezuela. Obviously, you should not be able to bet on something that you have insider information on. They really want to know whether traders here are forecasting events, or whether they already know what happened." "All of the controversy around prediction markets is going to take a very long time to shake out. But this investigation is continuing, and it is expanding."

Congress expands its prediction market insider trading probe to Hyperliquid, Crypto[.]com and others "House Oversight Chair James Comer sent new letters to Crypto[.]com, Hyperliquid, and Aristotle Exchange, as they were already investigating Kalshi and Polymarket. That investigation began in May. The committee's already received nearly 1,000 documents and participated in five briefings with all of these companies." "This matters because they're trying to determine how much insider trading there is in prediction markets. And we know that there's a lot. All jokes aside, it's very easy to game certain prediction markets, and that's likely a problem." "We saw Trump's teleprompter guy, and the army officer who bet on the invasion of Venezuela. Obviously, you should not be able to bet on something that you have insider information on. They really want to know whether traders here are forecasting events, or whether they already know what happened." "All of the controversy around prediction markets is going to take a very long time to shake out. But this investigation is continuing, and it is expanding."

The Wolf Of All Streets

24,606 просмотров • 12 дней назад

There's a way to win on Polymarket no matter who wins. Buy YES in one place, NO in another. If they don't add up to a dollar, you locked a profit. Before the event even happens. Here's how the arbitrage actually works and how to master it: This is the closest thing to free money on Polymarket. Every market has a YES and a NO. One of them MUST resolve to $1. The other goes to zero. So in theory, YES + NO should always cost exactly $1. But in thin or messy markets, they don't. Sometimes you can buy: > YES at 0.48 > NO at 0.49 > total cost: 0.97 This guy does it every day: [ He also uploaded a full guide on how to build the same bot. One side pays you $1 at resolution no matter what. He spends 97 cents to guarantee a dollar. That 3 cents is locked, risk-free. There's also the cross-market version. The same event sometimes has two separate markets at different prices. Buy the cheap YES in one, the cheap NO in the other, and pocket the gap. Sounds easy, right? But here's the honest part: These gaps close in about 2.7 seconds now. By the time you click by hand, a bot already took it. So the manual version only really survives in low-liquidity markets the bots ignore. The fast version? That lives in compiled code with a VPS sitting next to the exchange. If you can code, this is one of the cleanest edges i know. If you can't, stick to the thin markets where speed matters less. Good luck!

There's a way to win on Polymarket no matter who wins. Buy YES in one place, NO in another. If they don't add up to a dollar, you locked a profit. Before the event even happens. Here's how the arbitrage actually works and how to master it: This is the closest thing to free money on Polymarket. Every market has a YES and a NO. One of them MUST resolve to $1. The other goes to zero. So in theory, YES + NO should always cost exactly $1. But in thin or messy markets, they don't. Sometimes you can buy: > YES at 0.48 > NO at 0.49 > total cost: 0.97 This guy does it every day: [ He also uploaded a full guide on how to build the same bot. One side pays you $1 at resolution no matter what. He spends 97 cents to guarantee a dollar. That 3 cents is locked, risk-free. There's also the cross-market version. The same event sometimes has two separate markets at different prices. Buy the cheap YES in one, the cheap NO in the other, and pocket the gap. Sounds easy, right? But here's the honest part: These gaps close in about 2.7 seconds now. By the time you click by hand, a bot already took it. So the manual version only really survives in low-liquidity markets the bots ignore. The fast version? That lives in compiled code with a VPS sitting next to the exchange. If you can code, this is one of the cleanest edges i know. If you can't, stick to the thin markets where speed matters less. Good luck!

Dexter's Lab

11,583 просмотров • 3 месяцев назад

This guy turned Grok Bot into an MM system and it made $1,335 a day The result is already +$65,425 PnL with only $40 per average trade while repeating the same setup 9 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. They try to build Up + Down < 100¢ The bot accumulates both outcomes at different moments as BTC moves For example: Down at 38¢ + Up later at 56¢ = 94¢ total cost (6¢ locked on every complete set) The two entries do not need to happen at the same time 2. Order Flow tells the agents which side to accumulate next The model tracks imbalance inside the book: OBI = (B - A) / (B + A) When buying pressure shifts toward one outcome, its fair probability changes and the bot adjusts which side it wants to accumulate This trader’s Polymarket account: GoodFallen 10,322 predictions with a 50% win rate Follow this account and trade on Polymarket through this bot: Most profitable trades: $974 → $2,525 (+$1,551) $723 → $1,923 (+$1,200) $1,270 → $2,323 (+$1,053) The bot uses changes in Order Flow and BTC price to keep rebuilding the same position before resolution

This guy turned Grok Bot into an MM system and it made $1,335 a day The result is already +$65,425 PnL with only $40 per average trade while repeating the same setup 9 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. They try to build Up + Down < 100¢ The bot accumulates both outcomes at different moments as BTC moves For example: Down at 38¢ + Up later at 56¢ = 94¢ total cost (6¢ locked on every complete set) The two entries do not need to happen at the same time 2. Order Flow tells the agents which side to accumulate next The model tracks imbalance inside the book: OBI = (B - A) / (B + A) When buying pressure shifts toward one outcome, its fair probability changes and the bot adjusts which side it wants to accumulate This trader’s Polymarket account: GoodFallen 10,322 predictions with a 50% win rate Follow this account and trade on Polymarket through this bot: Most profitable trades: $974 → $2,525 (+$1,551) $723 → $1,923 (+$1,200) $1,270 → $2,323 (+$1,053) The bot uses changes in Order Flow and BTC price to keep rebuilding the same position before resolution

Daniro

20,078 просмотров • 1 месяц назад

Prediction markets are finally getting the mainstream moment everyone was waiting for, and Trust Wallet just placed itself right at the center of it They became the first self-custody wallet to integrate prediction markets directly inside the app. No KYC, no accounts, just open the app and trade.MYRIAD is live now, with Kalshi and Polymarket integrations on the way On the macro side, the momentum is clear. Kalshi hit 5.8B in November, Polymarket reached 3.74B, nearly 10B combined. Prediction markets are becoming one of the strongest flow drivers in the entire sector Trust Wallet isn’t just adding a feature. It’s positioning itself as the primary entry point for the next wave of on-chain users As Always NFA/DYOR

Prediction markets are finally getting the mainstream moment everyone was waiting for, and Trust Wallet just placed itself right at the center of it They became the first self-custody wallet to integrate prediction markets directly inside the app. No KYC, no accounts, just open the app and trade.MYRIAD is live now, with Kalshi and Polymarket integrations on the way On the macro side, the momentum is clear. Kalshi hit 5.8B in November, Polymarket reached 3.74B, nearly 10B combined. Prediction markets are becoming one of the strongest flow drivers in the entire sector Trust Wallet isn’t just adding a feature. It’s positioning itself as the primary entry point for the next wave of on-chain users As Always NFA/DYOR

𝖀𝖈𝖆𝖓

12,938 просмотров • 10 месяцев назад

I let a loop of AI agents build GTA 6 while I slept. Woke up to a dead Mac and a half walking NPC. Day 8. We're moving the whole game from Godot to Unreal, and the agents kept shipping right through it: - the first NPC walks but no animations - in-game phone now has maps, contacts, and a wallet. Bad news: the Mac died overnight because every agent opened the game at once to screenshot it. Fix was one line in claude.md, only one game or editor open at a time. Agents are back to looping, one at a time. Tomorrow: finish converting the entire repo to Unreal, and work the walk animation so the NPC actually looks real. The loop keeps building the phone apps, and I might pull the map onto the phone so the whole thing feels seamless. One catch: the licensed Unreal assets can't be shared publicly, so that part stays in a private build.

I let a loop of AI agents build GTA 6 while I slept. Woke up to a dead Mac and a half walking NPC. Day 8. We're moving the whole game from Godot to Unreal, and the agents kept shipping right through it: - the first NPC walks but no animations - in-game phone now has maps, contacts, and a wallet. Bad news: the Mac died overnight because every agent opened the game at once to screenshot it. Fix was one line in claude.md, only one game or editor open at a time. Agents are back to looping, one at a time. Tomorrow: finish converting the entire repo to Unreal, and work the walk animation so the NPC actually looks real. The loop keeps building the phone apps, and I might pull the map onto the phone so the whole thing feels seamless. One catch: the licensed Unreal assets can't be shared publicly, so that part stays in a private build.

Ziwen

290,991 просмотров • 3 месяцев назад

i reverse-engineered the gabagool bot with Claude gabagool is the most famous Polymarket bot ever made it doesn't predict if BTC goes up or down it buys BOTH sides when each gets temporarily cheap → YES at $0.48 → NO at $0.45 → pair cost: $0.93 → one side always pays $1.00 → guaranteed $0.07 profit per pair it does this on 15-minute BTC markets 96 markets per day. hundreds of trades. every day Python 83% + Rust 17% for speed-critical paths Claude didn't just explain the strategy it found a bug in the position tracker that the original dev missed copy him this: what repo do you want me to reverse-engineer next?

i reverse-engineered the gabagool bot with Claude gabagool is the most famous Polymarket bot ever made it doesn't predict if BTC goes up or down it buys BOTH sides when each gets temporarily cheap → YES at $0.48 → NO at $0.45 → pair cost: $0.93 → one side always pays $1.00 → guaranteed $0.07 profit per pair it does this on 15-minute BTC markets 96 markets per day. hundreds of trades. every day Python 83% + Rust 17% for speed-critical paths Claude didn't just explain the strategy it found a bug in the position tracker that the original dev missed copy him this: what repo do you want me to reverse-engineer next?

self.dll

23,626 просмотров • 6 месяцев назад

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 просмотров • 7 месяцев назад

Hermes just made its in-app browser a whole lot more useful. You can now keep multiple browser tabs open inside Hermes Desktop instead of every new page replacing the one you were already using. And that matters more than it sounds. Because this is not just about “having tabs.” It means Hermes can work across multiple pages without forcing you to keep losing your place every time you open the next thing. Research one source, keep it open, open another tab, compare them side by side, and keep moving. Check a few products before buying something. Look at multiple hotel or travel options at once. Keep a YouTube tutorial open in one tab while Hermes looks through docs or another page in the next. And because this lives inside Hermes Desktop, you are not limited to one basic browser view either. You can keep multiple tabs open. You can view two pages side by side. You can stack them top and bottom. You can even run a four-panel view when you want several pages open at once. So the browser inside Hermes is starting to feel a lot more like a real workspace instead of one page you keep replacing. There is also some nice polish that comes with it. Browser tabs now label themselves based on the page, and the address bar behaves more cleanly while pages are loading. And remember, this is the same in-app browser Hermes can already read, click through, type in, scroll, and annotate. So this is not just a prettier browser. It is a more capable workspace for the browser Hermes is actually using. If Hermes is going to do more of your work on the web, this is exactly the kind of browser upgrade it needed.

Hermes just made its in-app browser a whole lot more useful. You can now keep multiple browser tabs open inside Hermes Desktop instead of every new page replacing the one you were already using. And that matters more than it sounds. Because this is not just about “having tabs.” It means Hermes can work across multiple pages without forcing you to keep losing your place every time you open the next thing. Research one source, keep it open, open another tab, compare them side by side, and keep moving. Check a few products before buying something. Look at multiple hotel or travel options at once. Keep a YouTube tutorial open in one tab while Hermes looks through docs or another page in the next. And because this lives inside Hermes Desktop, you are not limited to one basic browser view either. You can keep multiple tabs open. You can view two pages side by side. You can stack them top and bottom. You can even run a four-panel view when you want several pages open at once. So the browser inside Hermes is starting to feel a lot more like a real workspace instead of one page you keep replacing. There is also some nice polish that comes with it. Browser tabs now label themselves based on the page, and the address bar behaves more cleanly while pages are loading. And remember, this is the same in-app browser Hermes can already read, click through, type in, scroll, and annotate. So this is not just a prettier browser. It is a more capable workspace for the browser Hermes is actually using. If Hermes is going to do more of your work on the web, this is exactly the kind of browser upgrade it needed.

Hermes Release Watch

52,493 просмотров • 1 месяц назад

Pokee Isaac now runs inside Claude Code. And you can use it a few different ways: have Claude call Isaac for complete one-shot generations, switch directly to Isaac as your model mid-session, or run the entire Claude Code session on Isaac. For the workflow shown below, Claude plans and verifies. Isaac generates the complete artifact in a single pass. Integration built and open-sourced by ⭕ AI & Design (Marco). Here's a quick how-to video in order to get started! You can access the repo at:

Pokee Isaac now runs inside Claude Code. And you can use it a few different ways: have Claude call Isaac for complete one-shot generations, switch directly to Isaac as your model mid-session, or run the entire Claude Code session on Isaac. For the workflow shown below, Claude plans and verifies. Isaac generates the complete artifact in a single pass. Integration built and open-sourced by ⭕ AI & Design (Marco). Here's a quick how-to video in order to get started! You can access the repo at:

Pokee AI

41,078 просмотров • 1 месяц назад

We’re beginning to implement Polymarket Dashboards directly into the $SPECT App. This is an interface showcase - a first look at how on-chain prediction markets will live inside the Spectre AI ecosystem. Data will be synced in tomorrow. ✅ A Polymarket Landing Dashboard MVP is now being added to the homepage ✅ Full category analytics, trend mapping & sentiment overlays are being built ✅ AI Market Analysis and Bubble Engine integrations are in progress ✅ The end goal: real-time narrative + odds + influence visualization in one view This is just the start. The full suite will dig into market flows, sentiment velocity, X narratives and behavioral patterns behind each side of a prediction market. #Predictions becomes a clear window into why the market is shifting, where the general sentiment is heading. PolymarketBuild #PredictionMarkets #polymarket

We’re beginning to implement Polymarket Dashboards directly into the $SPECT App. This is an interface showcase - a first look at how on-chain prediction markets will live inside the Spectre AI ecosystem. Data will be synced in tomorrow. ✅ A Polymarket Landing Dashboard MVP is now being added to the homepage ✅ Full category analytics, trend mapping & sentiment overlays are being built ✅ AI Market Analysis and Bubble Engine integrations are in progress ✅ The end goal: real-time narrative + odds + influence visualization in one view This is just the start. The full suite will dig into market flows, sentiment velocity, X narratives and behavioral patterns behind each side of a prediction market. #Predictions becomes a clear window into why the market is shifting, where the general sentiment is heading. PolymarketBuild #PredictionMarkets #polymarket

SPECTRE AI

16,039 просмотров • 11 месяцев назад

IF YOU TRADE POLITICS ON POLYMARKET, STOP WATCHING RANDOM WALLETS the real alpha is knowing where proven political traders are putting money before you open your own position this is my predict parity filter: Politics only, BUY only, Polymarket, exclude bots, price 5c-95c, size >$10k, volume >$10k, win rate >70%, balance >$10k and positions >$10k. now the noise disappears and i only see large entries from serious traders with strong win rates, volume, balances and real money already in prediction markets on one screen i can track $10k-$30k+ buys across Fed decisions, Trump, Russia-Ukraine, Iran, elections, political leaders and other major politics markets every trade shows the trader, market, YES/NO side, exact entry price, amount and time save the filter and it becomes your own politics smart money feed: find profitable traders → track fresh entries → compare their bets → trade the markets you like directly inside parity no bots. no random $50 trades. just serious money and political prediction market trades Parity is FREE. But enter with invite codes only! Claim invite →

IF YOU TRADE POLITICS ON POLYMARKET, STOP WATCHING RANDOM WALLETS the real alpha is knowing where proven political traders are putting money before you open your own position this is my predict parity filter: Politics only, BUY only, Polymarket, exclude bots, price 5c-95c, size >$10k, volume >$10k, win rate >70%, balance >$10k and positions >$10k. now the noise disappears and i only see large entries from serious traders with strong win rates, volume, balances and real money already in prediction markets on one screen i can track $10k-$30k+ buys across Fed decisions, Trump, Russia-Ukraine, Iran, elections, political leaders and other major politics markets every trade shows the trader, market, YES/NO side, exact entry price, amount and time save the filter and it becomes your own politics smart money feed: find profitable traders → track fresh entries → compare their bets → trade the markets you like directly inside parity no bots. no random $50 trades. just serious money and political prediction market trades Parity is FREE. But enter with invite codes only! Claim invite →

PolySuccubus

12,392 просмотров • 1 месяц назад

This trader used Claude to build a Quant Bot and made +$212,121 on Polymarket 146,603 predictions in 267 days with a 42% win rate How is this account bringing in about $794 per day? The logic is simple: 1. It trades short crypto “Up / Down” markets at around 23 trades per hour 2. The bot enters markets in several steps instead of placing the entire position at once 3. It can take one outcome first, then wait for the probabilities to shift before adding the opposite side at a better moment 4. Part of the position can then become hedged, while the remaining shares stay exposed to the outcome the model still favors This trader’s Polymarket account: pspspsps5 Follow this account and trade on Polymarket through this bot: Most profitable trades: $372 → $1,650 (+$1,278 +344.1%) $24 → $1,207 (+$1,183 +4,899.9%) $403 → $1,393 (+$990 +245.8%) The real edge is in how aggressively the bot can reuse the same setup across thousands of short crypto windows without needing a high win rate

This trader used Claude to build a Quant Bot and made +$212,121 on Polymarket 146,603 predictions in 267 days with a 42% win rate How is this account bringing in about $794 per day? The logic is simple: 1. It trades short crypto “Up / Down” markets at around 23 trades per hour 2. The bot enters markets in several steps instead of placing the entire position at once 3. It can take one outcome first, then wait for the probabilities to shift before adding the opposite side at a better moment 4. Part of the position can then become hedged, while the remaining shares stay exposed to the outcome the model still favors This trader’s Polymarket account: pspspsps5 Follow this account and trade on Polymarket through this bot: Most profitable trades: $372 → $1,650 (+$1,278 +344.1%) $24 → $1,207 (+$1,183 +4,899.9%) $403 → $1,393 (+$990 +245.8%) The real edge is in how aggressively the bot can reuse the same setup across thousands of short crypto windows without needing a high win rate

Daniro

11,647 просмотров • 1 месяц назад

Wolfers: "Remember the president came to power saying, 'I will reduce the cost of living on day one.' Well, the expectation that interest rates are going to be higher in the future—that's already being priced in by markets, which is to say that anyone who's out there trying to negotiate a new mortgage right now, you're going to get a much worse deal than you would have three, four, five months ago. And that's precisely because of the president's actions. So it's just another way in which the president has sort of said, 'I'm for affordability' and quietly done the opposite."

Wolfers: "Remember the president came to power saying, 'I will reduce the cost of living on day one.' Well, the expectation that interest rates are going to be higher in the future—that's already being priced in by markets, which is to say that anyone who's out there trying to negotiate a new mortgage right now, you're going to get a much worse deal than you would have three, four, five months ago. And that's precisely because of the president's actions. So it's just another way in which the president has sort of said, 'I'm for affordability' and quietly done the opposite."

MeidasClips

38,012 просмотров • 3 месяцев назад

Stanford student fed Claude a book with 151 trading strategies and turned $87 into $213,000 in one week His account is 0xB27 He gave him one task: -find an edge on Polymarket BTC markets Claude analyzed 550 mathematical formulas in 2 minutes and said that most of them don’t work in prediction markets and explained why what remained: → momentum on 5m/15m/1h → binary markets systematically overestimate short-term BTC volatility → there is a gap between what the market thinks and what the data shows He wrote a bot over the weekend from March 4 to today: → 3,426 trades → biggest win: $11,900 on a single position → the account is public, you can check it Profile: “I’m not a trader, I didn’t have trading education, I had a book and Claude”-he says cost of entry: one book and a few prompts The link to the book will be under the post 👇🏼 Just insert PDF files into Claude and create your own bot Add this post to bookmarks so you don’t lose this PDF If you’re interested in which 5 prompts he used to set up the bot Like, repost, comment STANFORD and I’ll send them to you in DM The main thing is to be subscribed so I can DM you

AdiiX

47,582 просмотров • 6 месяцев назад

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

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 просмотров • 5 месяцев назад