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POLYMARKET BOTS ARE NOT BLACK BOXES -> Official Python client for Polymarket CLOB V2. If your pipeline is built in Python, this is probably the cleanest starting point: API creds, authenticated client, order flow, and direct CLOB interaction. -> A TypeScript library for Polymarket WebSocket data. Auto reconnect, dynamic... subscriptions, book events, price changes, tick size changes, and last trade price. This is exactly the kind of repo you need for Step 1: recording the order book. -> Official Polymarket agent skills repo. This fits the “Now you can use AI” part perfectly: auth, order placement, market reads, live data streams, position management, and WebSocket patterns. Basically, the bridge between Polymarket data and AI agents. Not bad starter kit.show more

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two of the best repos for building your own product on Polymarket recently found some interesting projects by Daniel Sapkota that’ll make your life easier if you’re a builder market making: data analytics: poly-maker is an automated market making bot for Polymarket that keeps orders on both sides of the book and is driven by parameters from Google Sheets key features: / real-time order book monitoring via WebSocket; / positions + risk controls (position management); / parameters/hyperparameters managed in Google Spreadsheets; / poly_merger (Node.js) a "merge positions" utility to consolidate positions, use less gas, and improve capital efficiency; / companion modules: poly_stats, poly_utils, data_updater, poly_data. poly_data is a "data combine" for collecting, processing, and structuring Polymarket trading data: markets > order-filled events > trades dataset 3 pipeline stages: 1/ market data collection - pulls all markets from the Polymarket API; 2/ order event scraping - fetches order-filled events from the Goldsky subgraph; 3/ trade processing - converts raw events into structured trades: price, direction, size, maker/taker, etc. you can use these two great repos in different ways if your goal is content/osint/spreadsheets/wallet analysis > poly_data is the most valuable. if your goal is lp/market making > poly-maker is a great infrastructure reference implementation.

two of the best repos for building your own product on Polymarket recently found some interesting projects by Daniel Sapkota that’ll make your life easier if you’re a builder market making: data analytics: poly-maker is an automated market making bot for Polymarket that keeps orders on both sides of the book and is driven by parameters from Google Sheets key features: / real-time order book monitoring via WebSocket; / positions + risk controls (position management); / parameters/hyperparameters managed in Google Spreadsheets; / poly_merger (Node.js) a "merge positions" utility to consolidate positions, use less gas, and improve capital efficiency; / companion modules: poly_stats, poly_utils, data_updater, poly_data. poly_data is a "data combine" for collecting, processing, and structuring Polymarket trading data: markets > order-filled events > trades dataset 3 pipeline stages: 1/ market data collection - pulls all markets from the Polymarket API; 2/ order event scraping - fetches order-filled events from the Goldsky subgraph; 3/ trade processing - converts raw events into structured trades: price, direction, size, maker/taker, etc. you can use these two great repos in different ways if your goal is content/osint/spreadsheets/wallet analysis > poly_data is the most valuable. if your goal is lp/market making > poly-maker is a great infrastructure reference implementation.

dunik

11,319 Aufrufe • vor 6 Monaten

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

VALIX

82,823 Aufrufe • vor 7 Tagen

Polymarket 15m trading guide is FREE now Stop trading 15-minute markets via the UI. You are too slow and competing against bots that see the future I dug into Polymarket's official GitHub and found the actual edge: real-time-data-client It connects directly to their websocket. While you wait for the website to refresh, this script feeds you orderbook changes with zero latency. Example of a profile running this setup: This is the only way to front-run volatility on short timeframes.

BuBBliK

17,102 Aufrufe • vor 6 Monaten

Polymarket US APIs are officially live If you've been sitting on trading ideas, automation dreams, or market analysis tools - now's the time to build What you get: - REST API for orders, positions, market data - WebSocket feeds for real-time price updates - Official Python + TypeScript SDKs (no more janky workarounds) - Proper authentication with API keys from the dev portal Most profitable traders aren't clicking buttons - they're running bots. You can now build limit order strategies, arbitrage scanners, portfolio dashboards, alert systems, whatever you've been theory-crafting. Early advantage is real. The people building automation now will be miles ahead when everyone else shows up Welcome

Polymarket US APIs are officially live If you've been sitting on trading ideas, automation dreams, or market analysis tools - now's the time to build What you get: - REST API for orders, positions, market data - WebSocket feeds for real-time price updates - Official Python + TypeScript SDKs (no more janky workarounds) - Proper authentication with API keys from the dev portal Most profitable traders aren't clicking buttons - they're running bots. You can now build limit order strategies, arbitrage scanners, portfolio dashboards, alert systems, whatever you've been theory-crafting. Early advantage is real. The people building automation now will be miles ahead when everyone else shows up Welcome

BuBBliK

111,438 Aufrufe • vor 6 Monaten

WSJ just exposed the brutal reality behind Polymarket and Kalshi. The data is absolutely shocking. Out of 1.6M Polymarket accounts, a mere 0.1% of top wallets took home the vast majority of profits. And these winners are almost entirely high-frequency quant teams and bots. Additionally, Kalshi’s official data shows that for every single user making money, roughly three others are losing. Polymarket defended this by claiming 90% of users are just there to gather information, and the median loss is under $10. This is an absolute joke. Nobody deposits crypto on-chain just to read news. When you think you are predicting the future, what you are actually facing is a fleet of bots running 24/7.

WSJ just exposed the brutal reality behind Polymarket and Kalshi. The data is absolutely shocking. Out of 1.6M Polymarket accounts, a mere 0.1% of top wallets took home the vast majority of profits. And these winners are almost entirely high-frequency quant teams and bots. Additionally, Kalshi’s official data shows that for every single user making money, roughly three others are losing. Polymarket defended this by claiming 90% of users are just there to gather information, and the median loss is under $10. This is an absolute joke. Nobody deposits crypto on-chain just to read news. When you think you are predicting the future, what you are actually facing is a fleet of bots running 24/7.

Satori 🎴 💀

54,604 Aufrufe • vor 2 Monaten

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

35,405 Aufrufe • vor 4 Monaten

🚀SHIPPED 🚀 We just shipped the FIRST EVER Polymarket integration inside a Telegram mini-app, and it’s live in production! ✅ Full CLOB v2 + gasless builder-relayer (Phase 2.1) ✅ POLY_BUILDER_CODE on every order → Builder Leaderboard juice ✅ Zero-gas onboarding: Safe + allowances batched via relayer ✅ One-tap “Fund Polymarket” sweep (custodial → user Safe) ✅ AI trade signals now hitting Polymarket too Prediction markets just went mainstream. No wallet. No gas. No bridges. Just tap → trade. Millions of Telegram users can now bet on the future without knowing what MetaMask is. This is how prediction markets explode. Polymarket BUILD4 is cooking 🔥 try it:

🚀SHIPPED 🚀 We just shipped the FIRST EVER Polymarket integration inside a Telegram mini-app, and it’s live in production! ✅ Full CLOB v2 + gasless builder-relayer (Phase 2.1) ✅ POLY_BUILDER_CODE on every order → Builder Leaderboard juice ✅ Zero-gas onboarding: Safe + allowances batched via relayer ✅ One-tap “Fund Polymarket” sweep (custodial → user Safe) ✅ AI trade signals now hitting Polymarket too Prediction markets just went mainstream. No wallet. No gas. No bridges. Just tap → trade. Millions of Telegram users can now bet on the future without knowing what MetaMask is. This is how prediction markets explode. Polymarket BUILD4 is cooking 🔥 try it:

Build4

18,585 Aufrufe • vor 3 Monaten

Someone in r/algotrading posted a polymarket wallet with one comment: "sports markets are broken and nobody is talking about it" thread deleted in 10 minutes but i grabbed the wallet before it disappeared pulled the on-chain data and started building they hire 12 quant developers at $180k each i opened claude ($20/m) and said: "analyze this wallet's strategy and build me a similar system for trading live sports markets on polymarket" starting balance $100 a week ago current balance: $14,700 every trade is live sports, only during matches spent two days reverse engineering the pattern the logic is embarrassingly simple: live sports APIs update within 1-2 seconds of an event polymarket oracle checks every 10-20 seconds that gap is free money my bot runs on AWS EC2 for $120/month in Virginia latency <5ms to polymarket CLOB it pulls SportsRadar with 1-2 second delay and still finds edge the agent wrote the entire pipeline in one session: → async websocket listener on polymarket orderbook → SportsRadar live feed via httpx (non-blocking) → poisson probability model via scipy.stats → pre-cached lambda values in redis (<1ms lookup) → kelly criterion for position sizing (max 6% bankroll) → EIP-712 order signing, execution via polygon CLOB their infrastructure costs $2.4M/year mine costs $930/month $100 in the morning $1,730 by evening, and NFL example on video AI can build what used to take a team of 12

Someone in r/algotrading posted a polymarket wallet with one comment: "sports markets are broken and nobody is talking about it" thread deleted in 10 minutes but i grabbed the wallet before it disappeared pulled the on-chain data and started building they hire 12 quant developers at $180k each i opened claude ($20/m) and said: "analyze this wallet's strategy and build me a similar system for trading live sports markets on polymarket" starting balance $100 a week ago current balance: $14,700 every trade is live sports, only during matches spent two days reverse engineering the pattern the logic is embarrassingly simple: live sports APIs update within 1-2 seconds of an event polymarket oracle checks every 10-20 seconds that gap is free money my bot runs on AWS EC2 for $120/month in Virginia latency <5ms to polymarket CLOB it pulls SportsRadar with 1-2 second delay and still finds edge the agent wrote the entire pipeline in one session: → async websocket listener on polymarket orderbook → SportsRadar live feed via httpx (non-blocking) → poisson probability model via scipy.stats → pre-cached lambda values in redis (<1ms lookup) → kelly criterion for position sizing (max 6% bankroll) → EIP-712 order signing, execution via polygon CLOB their infrastructure costs $2.4M/year mine costs $930/month $100 in the morning $1,730 by evening, and NFL example on video AI can build what used to take a team of 12

Archive

81,744 Aufrufe • vor 5 Monaten

$111 → $230K. Three months. 23,000% ROI. No elections. No crypto. Just League of Legends and Dota 2. This is the most slept-on edge on Polymarket right now. While everyone fights over BTC windows and Trump markets, this bot quietly farmed esports. Pure profit. Zero attention. The exploit is embarrassingly simple: Live games generate data. Kills happen. Objectives fall. Fights break out. But Polymarket doesn't know yet. The odds sit frozen for seconds. Most people watch streams. That's slow. This bot doesn't watch anything. It pulls direct API feeds. Raw packet data. 30-40 seconds ahead of what you see on Twitch. Kill happens → data updates → bot front-runs the book → price adjusts → bot exits. Couple cents per trade. Thousands of trades. $208K in 90 days. The question everyone's asking: is the edge still there? Competition is growing. More bots appearing in LoL and Dota markets. But the gap between raw data and stream delay isn't going anywhere. As long as people watch video, someone parsing packets will be faster. This might be the last underpriced category on Polymarket. How long until it's crowded too?

$111 → $230K. Three months. 23,000% ROI. No elections. No crypto. Just League of Legends and Dota 2. This is the most slept-on edge on Polymarket right now. While everyone fights over BTC windows and Trump markets, this bot quietly farmed esports. Pure profit. Zero attention. The exploit is embarrassingly simple: Live games generate data. Kills happen. Objectives fall. Fights break out. But Polymarket doesn't know yet. The odds sit frozen for seconds. Most people watch streams. That's slow. This bot doesn't watch anything. It pulls direct API feeds. Raw packet data. 30-40 seconds ahead of what you see on Twitch. Kill happens → data updates → bot front-runs the book → price adjusts → bot exits. Couple cents per trade. Thousands of trades. $208K in 90 days. The question everyone's asking: is the edge still there? Competition is growing. More bots appearing in LoL and Dota markets. But the gap between raw data and stream delay isn't going anywhere. As long as people watch video, someone parsing packets will be faster. This might be the last underpriced category on Polymarket. How long until it's crowded too?

Blaze

273,692 Aufrufe • vor 7 Monaten

I’ve seen a lot of “trading bots” that are basically just hype wrapped in a dashboard. PolyFill looks different. ( It connects to your Polymarket account, watches markets 24/7, processes a ton of live data, and executes only when the setup is there. More importantly, you can actually watch the bot activity alongside real Polymarket market action — which makes it a lot more interesting than the usual black-box claims. They also made the smart move of keeping paper trading free, so anyone can test it without risking real money first. Honestly, that’s how more products in this space should work. If you trade on Polymarket, this is one to keep an eye on.

I’ve seen a lot of “trading bots” that are basically just hype wrapped in a dashboard. PolyFill looks different. ( It connects to your Polymarket account, watches markets 24/7, processes a ton of live data, and executes only when the setup is there. More importantly, you can actually watch the bot activity alongside real Polymarket market action — which makes it a lot more interesting than the usual black-box claims. They also made the smart move of keeping paper trading free, so anyone can test it without risking real money first. Honestly, that’s how more products in this space should work. If you trade on Polymarket, this is one to keep an eye on.

Sparco DeFi

130,564 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 7 Monaten

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 this repo hands you the distribution side. Polygon, USDC, UMA resolution, CLOB engine, matching engine, bot SDKs in Python and Rust. mirrored markets so you get order flow from day one 1,533 commits. tests, docs, infra, security policy. real engineering, not a landing page pretending to be a repo

0xbobaa

174,598 Aufrufe • vor 23 Tagen

Introducing Chance AI: the AI execution layer for Prediction Markets Build your strategy, define your rules, and deploy an agent that trades for you on Polymarket! Instead of relying on generic bots or copy trading, you define everything yourself. ← If you’ve ever felt like your ideas deserved better execution, this is where that changes.

Introducing Chance AI: the AI execution layer for Prediction Markets Build your strategy, define your rules, and deploy an agent that trades for you on Polymarket! Instead of relying on generic bots or copy trading, you define everything yourself. ← If you’ve ever felt like your ideas deserved better execution, this is where that changes.

Chance

62,112 Aufrufe • vor 4 Monaten

how to build the fastest Polymarket latency bot +$100k/month PnL if you hit 1,000+ trades/day cleanly 0x8dxd is just a latency bot that farms the 200–500ms gap between Binance moving and Polymarket waking up. the part that matters isn't some alpha model, it's reading spot first and hitting the book before odds adjust. where the $100k+/month comes from it's not one massive bet. it's clipping tiny edges thousands of times. 0x8dxd started with $313 and ended month one around $438k, now sits north of $550k all‑time PnL with ~5.6k–7k trades at 96–98% win rate on BTC/ETH/SOL 15‑minute windows. if you're consistently pulling 1–2% per cycle over 1,000+ trades/month with real size, six figures is just arithmetic. first, the edge: spot (Binance/Coinbase) moves first, Polymarket's 15‑minute up/down windows lag by 200–500ms before odds fully reprice. latency bots live in that window: spot already moved, book still thinks it's 50/50, bot fixes the misprice and takes the edge. what you actually need: - Python + official py‑clob‑client to prove the idea, Rust CLOB client if you want to compete with 0x8dxd‑level bots. - WebSocket feeds for BTC/ETH/SOL from Binance/Coinbase (REST polling is too slow). Dedicated Polygon RPC node so your orders don't die in public rate limits. - VPS physically close to Polymarket's infra (ping is literally part of your edge). where people mess up: they try "HFT" from a laptop with Python + public RPC and wonder why their 300ms reaction gets farmed by a 30ms Rust engine. the bot loop (in plain English) pull real‑time spot for BTC/ETH/SOL via WebSocket, track short‑term % moves over a few seconds. for each 15‑minute crypto market on Polymarket: check if spot moved beyond your threshold (e.g. ±2%) while Polymarket odds barely changed. if BTC rips and the "down" contract is still priced like a coinflip, load NO at stale odds. if BTC nukes and "up" is still fat, fade that with NO or take YES on "down" depending on the market structure. log market, entry odds, exit odds, realized edge. that's it. no AI, no news scraping, just enforcing what spot already told you. where to get real references: Finbold/MEXC breakdowns: exactly how a bot took $313 to $438k on Polymarket using BTC 15‑minute windows and latency between spot and odds. BlakeNastri's X thread: dug through 0x8dxd's stats, ~5.6k trades and ~96%+ win rate, called it latency arbitrage not insider magic. two real‑world gotchas (that decide profit vs loss) edge decay: as more bots pile in, the 200–500ms lag shrinks and your edge turns into noise. research on Polymarket shows arbitrage bots already extracted tens of millions. self‑slippage: once you scale to real size, you start moving the book yourself - without proper sizing and staggering, you donate your edge back to the market. how to make it feel "pro" fast run only on high‑volume crypto windows: (BTC/ETH/SOL 15‑minute) where size actually fills and you can hit 1,000+ trades/month without breaking the market. start with tiny tickets ($20–50 per trade), prove the edge over thousands of logs with fees and slippage included, only then scale size not risk per trade. use official libs and known clients as your backbone, treat random "Polymarket bot" repos as hostile until you audit them - there are already GitHub bots caught stealing keys

how to build the fastest Polymarket latency bot +$100k/month PnL if you hit 1,000+ trades/day cleanly 0x8dxd is just a latency bot that farms the 200–500ms gap between Binance moving and Polymarket waking up. the part that matters isn't some alpha model, it's reading spot first and hitting the book before odds adjust. where the $100k+/month comes from it's not one massive bet. it's clipping tiny edges thousands of times. 0x8dxd started with $313 and ended month one around $438k, now sits north of $550k all‑time PnL with ~5.6k–7k trades at 96–98% win rate on BTC/ETH/SOL 15‑minute windows. if you're consistently pulling 1–2% per cycle over 1,000+ trades/month with real size, six figures is just arithmetic. first, the edge: spot (Binance/Coinbase) moves first, Polymarket's 15‑minute up/down windows lag by 200–500ms before odds fully reprice. latency bots live in that window: spot already moved, book still thinks it's 50/50, bot fixes the misprice and takes the edge. what you actually need: - Python + official py‑clob‑client to prove the idea, Rust CLOB client if you want to compete with 0x8dxd‑level bots. - WebSocket feeds for BTC/ETH/SOL from Binance/Coinbase (REST polling is too slow). Dedicated Polygon RPC node so your orders don't die in public rate limits. - VPS physically close to Polymarket's infra (ping is literally part of your edge). where people mess up: they try "HFT" from a laptop with Python + public RPC and wonder why their 300ms reaction gets farmed by a 30ms Rust engine. the bot loop (in plain English) pull real‑time spot for BTC/ETH/SOL via WebSocket, track short‑term % moves over a few seconds. for each 15‑minute crypto market on Polymarket: check if spot moved beyond your threshold (e.g. ±2%) while Polymarket odds barely changed. if BTC rips and the "down" contract is still priced like a coinflip, load NO at stale odds. if BTC nukes and "up" is still fat, fade that with NO or take YES on "down" depending on the market structure. log market, entry odds, exit odds, realized edge. that's it. no AI, no news scraping, just enforcing what spot already told you. where to get real references: Finbold/MEXC breakdowns: exactly how a bot took $313 to $438k on Polymarket using BTC 15‑minute windows and latency between spot and odds. BlakeNastri's X thread: dug through 0x8dxd's stats, ~5.6k trades and ~96%+ win rate, called it latency arbitrage not insider magic. two real‑world gotchas (that decide profit vs loss) edge decay: as more bots pile in, the 200–500ms lag shrinks and your edge turns into noise. research on Polymarket shows arbitrage bots already extracted tens of millions. self‑slippage: once you scale to real size, you start moving the book yourself - without proper sizing and staggering, you donate your edge back to the market. how to make it feel "pro" fast run only on high‑volume crypto windows: (BTC/ETH/SOL 15‑minute) where size actually fills and you can hit 1,000+ trades/month without breaking the market. start with tiny tickets ($20–50 per trade), prove the edge over thousands of logs with fees and slippage included, only then scale size not risk per trade. use official libs and known clients as your backbone, treat random "Polymarket bot" repos as hostile until you audit them - there are already GitHub bots caught stealing keys

0xCryptoGirl

25,454 Aufrufe • vor 7 Monaten

WHITNEY WEBB on how Polymarket, a resurrection of DARPA's Policy Analysis Market, is key for the "privatized panopticon" and "pre-crime" PAM was also a part of DARPA's Total Information Awareness, which was resurrected into Palantir—Palantir and Polymarket are now partnered 🤯 This clip of Webb (Whitney Webb), a contributing editor of Unlimited Hangout and author of One Nation Under Blackmail, and Mark Goodwin (markgoodw.in), is taken from an episode of the Unlimited Hangout podcast posted to YouTube on July 20, 2026 ----------------Partial transcription of clip--------------- "But what was PAM? PAM was part, or the Policy Analysis Market, what these guys have been trying to resurrect, it was part of TIA, and TIA, Total Information Awareness, the goal was not just to see everything going on in the present and find anomalies, find the 'bad guys' in the, in a sea of data, of everyone's data in mass surveillance. It was to predict. It was pre-crime. "It was predictive policing on a massive scale and not— in pretty much every ambit of human life you can think of, right? And so Polymarket, because, you know, the market knows all of these Polymarket odds, just like with PAM, the odds are there to help feed the pre-crime engine. This is what will happen. Or this will not. "And we know that Polymarket bets can be rigged and that Polymarket itself puts out misinformation sometimes to make trades swing one way or the other. And that insider trading is a huge problem. And the context of, of that and as it's meant to interface with what is now Palantir is really unsettling. "And lo and behold, if you look it up, dude, it's there. Polymarket and Palantir are partners. They are partnered and they work together, for the 'market integrity.' So this has already happened and this is the Privatized Panopticon."

WHITNEY WEBB on how Polymarket, a resurrection of DARPA's Policy Analysis Market, is key for the "privatized panopticon" and "pre-crime" PAM was also a part of DARPA's Total Information Awareness, which was resurrected into Palantir—Palantir and Polymarket are now partnered 🤯 This clip of Webb (Whitney Webb), a contributing editor of Unlimited Hangout and author of One Nation Under Blackmail, and Mark Goodwin (markgoodw.in), is taken from an episode of the Unlimited Hangout podcast posted to YouTube on July 20, 2026 ----------------Partial transcription of clip--------------- "But what was PAM? PAM was part, or the Policy Analysis Market, what these guys have been trying to resurrect, it was part of TIA, and TIA, Total Information Awareness, the goal was not just to see everything going on in the present and find anomalies, find the 'bad guys' in the, in a sea of data, of everyone's data in mass surveillance. It was to predict. It was pre-crime. "It was predictive policing on a massive scale and not— in pretty much every ambit of human life you can think of, right? And so Polymarket, because, you know, the market knows all of these Polymarket odds, just like with PAM, the odds are there to help feed the pre-crime engine. This is what will happen. Or this will not. "And we know that Polymarket bets can be rigged and that Polymarket itself puts out misinformation sometimes to make trades swing one way or the other. And that insider trading is a huge problem. And the context of, of that and as it's meant to interface with what is now Palantir is really unsettling. "And lo and behold, if you look it up, dude, it's there. Polymarket and Palantir are partners. They are partnered and they work together, for the 'market integrity.' So this has already happened and this is the Privatized Panopticon."

Sense Receptor

54,970 Aufrufe • vor 1 Monat

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

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

The All-In Podcast

348,178 Aufrufe • vor 10 Monaten

One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me Choya (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow Choya to get the DM.

One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me Choya (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow Choya to get the DM.

Choya

11,009 Aufrufe • vor 5 Monaten

$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

19,483 Aufrufe • vor 6 Monaten

🚨 The future of sports betting is here - and it's on the blockchain > Sharp bettors are already leaving bookmakers for prediction markets. > 15-35% of handle is migrating within 18 months. > The reason - taxes, limits, 12% margin. > Polymarket: ~1% margin, no limits reaction in seconds. > But most people still use it like a regular sportsbook. > What if you compare Polymarket with a bookmaker and an ML model? > Three sources disagree - someone knows more. > That divergence is the edge. > Built a full pipeline: Python + Claude API + XGBoost + ELO.

🚨 The future of sports betting is here - and it's on the blockchain > Sharp bettors are already leaving bookmakers for prediction markets. > 15-35% of handle is migrating within 18 months. > The reason - taxes, limits, 12% margin. > Polymarket: ~1% margin, no limits reaction in seconds. > But most people still use it like a regular sportsbook. > What if you compare Polymarket with a bookmaker and an ML model? > Three sources disagree - someone knows more. > That divergence is the edge. > Built a full pipeline: Python + Claude API + XGBoost + ELO.

zostaff

34,221 Aufrufe • vor 4 Monaten