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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 görüntüleme • 8 ay önce

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

85,048 görüntüleme • 1 ay önce

This trader built a trading bot on Polymarket and made +$149,305 His bot trades 5-minute crypto Up/Down markets using its own probability model and dynamic exposure management: 1. It looks for undervalued outcomes based on its model It pulls underlying asset data from external sources, compares it with the current Polymarket price, and enters a position when it sees mispricing The model factors in distance from the reference price, momentum, volatility, time to resolution, and order flow 2. When the signal weakens, it reduces the position or adds the opposite outcome If the initial edge disappears, it can partially reduce the position If the signal fully reverses, it starts buying the opposite outcome as a dynamic hedge His Polymarket nickname: trinity42 Follow this account and trade on Polymarket through this app: The main edge of this algorithm comes from the accuracy of its probability model and effective position management through hedging

This trader built a trading bot on Polymarket and made +$149,305 His bot trades 5-minute crypto Up/Down markets using its own probability model and dynamic exposure management: 1. It looks for undervalued outcomes based on its model It pulls underlying asset data from external sources, compares it with the current Polymarket price, and enters a position when it sees mispricing The model factors in distance from the reference price, momentum, volatility, time to resolution, and order flow 2. When the signal weakens, it reduces the position or adds the opposite outcome If the initial edge disappears, it can partially reduce the position If the signal fully reverses, it starts buying the opposite outcome as a dynamic hedge His Polymarket nickname: trinity42 Follow this account and trade on Polymarket through this app: The main edge of this algorithm comes from the accuracy of its probability model and effective position management through hedging

VALIX

26,313 görüntüleme • 1 ay önce

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 görüntüleme • 8 ay önce

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

111,554 görüntüleme • 7 ay önce

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 görüntüleme • 4 ay önce

This guy built an HFT algorithm on Polymarket that trades markets with an average trade size of $60 Result: +$254,000 His bot trades short-term crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It finds mispricing using its own model It receives spot/perp data for the underlying asset and constantly compares it with prices on Polymarket The model also analyzes volatility, momentum, acceleration, and order-flow imbalance, then buys when it detects mispricing 2. When the signal reverses, it starts accumulating the opposite side as a hedge If the underlying asset changes direction, it starts buying the opposite outcome. This reduces its net directional exposure If both sides can be bought cheaply enough, part of the position turns into complete sets His Polymarket nickname: antsaslyku Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from identifying the stronger outcome and properly managing its open positions

This guy built an HFT algorithm on Polymarket that trades markets with an average trade size of $60 Result: +$254,000 His bot trades short-term crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It finds mispricing using its own model It receives spot/perp data for the underlying asset and constantly compares it with prices on Polymarket The model also analyzes volatility, momentum, acceleration, and order-flow imbalance, then buys when it detects mispricing 2. When the signal reverses, it starts accumulating the opposite side as a hedge If the underlying asset changes direction, it starts buying the opposite outcome. This reduces its net directional exposure If both sides can be bought cheaply enough, part of the position turns into complete sets His Polymarket nickname: antsaslyku Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from identifying the stronger outcome and properly managing its open positions

VALIX

28,194 görüntüleme • 1 ay önce

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 görüntüleme • 6 ay önce

🚀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 görüntüleme • 5 ay önce

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

370,823 görüntüleme • 1 ay önce

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

81,985 görüntüleme • 7 ay önce

This guy built a Quant Resolution model and it made $2,191 a day on Polymarket The result is already +$363,748 PnL in 166 days with only $38 per average trade, repeating the same setup 10 times every hour across BTC “Up or Down” markets Several AI agents can split the workflow between probability, sizing and execution: 1. The model measures how far BTC is from the reference price A simplified version looks like: z = (S - K) / (σ√T) Where: S = current BTC price K = reference price σ = volatility T = time left That z-score is converted into the probability of BTC finishing Up or Down 2. It trades the gap between model probability and Polymarket Model Up = 64% Market Up = 54¢ Edge = 10¢ If the gap is large enough, the system enters As the market catches up to the model estimate, the edge disappears This trader’s Polymarket account: powerwinner Follow this account and trade on Polymarket through this bot: 41,268 predictions with a 51% win rate Most profitable trades: $683 → $3,420 (+$2,737) $396 → $3,040 (+$2,644) $531 → $3,040 (+$2,509) A setup like this can be coordinated with Grok Bot, while external feeds provide live BTC data and execution

This guy built a Quant Resolution model and it made $2,191 a day on Polymarket The result is already +$363,748 PnL in 166 days with only $38 per average trade, repeating the same setup 10 times every hour across BTC “Up or Down” markets Several AI agents can split the workflow between probability, sizing and execution: 1. The model measures how far BTC is from the reference price A simplified version looks like: z = (S - K) / (σ√T) Where: S = current BTC price K = reference price σ = volatility T = time left That z-score is converted into the probability of BTC finishing Up or Down 2. It trades the gap between model probability and Polymarket Model Up = 64% Market Up = 54¢ Edge = 10¢ If the gap is large enough, the system enters As the market catches up to the model estimate, the edge disappears This trader’s Polymarket account: powerwinner Follow this account and trade on Polymarket through this bot: 41,268 predictions with a 51% win rate Most profitable trades: $683 → $3,420 (+$2,737) $396 → $3,040 (+$2,644) $531 → $3,040 (+$2,509) A setup like this can be coordinated with Grok Bot, while external feeds provide live BTC data and execution

Daniro

11,565 görüntüleme • 28 gün önce

$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

276,101 görüntüleme • 9 ay önce

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 görüntüleme • 4 ay önce

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 görüntüleme • 9 ay önce

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 görüntüleme • 2 ay önce

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

25,586 görüntüleme • 9 ay önce

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

62,340 görüntüleme • 5 ay önce

You’ll never make money with Polymarket bots until you understand this The best bots aren’t predicting outcomes. They’re executing market structure Most Polymakret traders show up thinking automation equals profit If I automate my picks, I’ll print IN REALITY Without an execution edge, your bot just becomes exit liquidity for people who already have one Yes, money is real Millions have been extracted from Polymarket via arbitrage over the past year But it goes to a very small group running systematic strategies, not prediction engines HERE IS WHAT ACTUALLY METTER 1. Trade the order book, not your opinions Polymarket runs a real CLOB It’s designed for market makers. If your bot isn’t reading and reacting to the book, you’re already behind 2. You need real devs, not vibe coders Orders aren’t just send trade They’re structured, hashed, signed There’s a reason Polymarket recommends client libraries. Doing this wrong is expensive 3. Real operations WebSockets drop, rate limits hit Fills come partial If you’re not monitoring 24/7 with alerts and kill switches, the market will babysit you instead 4. Risk rules Most bots die from slippage, inventory imbalance, regime shifts, and pretending something “looks profitable” means it’s executable Every bot has a ceiling Others copy it. Spreads tighten. Edge compresses You patch, redeploy, retune, repeat Bot “ca6859f” #1 by number of trades - over 42k predictions - $268k PnL - 7 months live It doesn’t predict direction. It hunts brief mispricings and keeps YES+NO under $1 over time He was one of the first who understood the rules of this game and quietly print money every day THAT IS THE TRUTH If your bot is making predictions you’re not building a trading system You’re automating gambling Market loves gamblers. They provide volume For someone else To be the best, study the best !

You’ll never make money with Polymarket bots until you understand this The best bots aren’t predicting outcomes. They’re executing market structure Most Polymakret traders show up thinking automation equals profit If I automate my picks, I’ll print IN REALITY Without an execution edge, your bot just becomes exit liquidity for people who already have one Yes, money is real Millions have been extracted from Polymarket via arbitrage over the past year But it goes to a very small group running systematic strategies, not prediction engines HERE IS WHAT ACTUALLY METTER 1. Trade the order book, not your opinions Polymarket runs a real CLOB It’s designed for market makers. If your bot isn’t reading and reacting to the book, you’re already behind 2. You need real devs, not vibe coders Orders aren’t just send trade They’re structured, hashed, signed There’s a reason Polymarket recommends client libraries. Doing this wrong is expensive 3. Real operations WebSockets drop, rate limits hit Fills come partial If you’re not monitoring 24/7 with alerts and kill switches, the market will babysit you instead 4. Risk rules Most bots die from slippage, inventory imbalance, regime shifts, and pretending something “looks profitable” means it’s executable Every bot has a ceiling Others copy it. Spreads tighten. Edge compresses You patch, redeploy, retune, repeat Bot “ca6859f” #1 by number of trades - over 42k predictions - $268k PnL - 7 months live It doesn’t predict direction. It hunts brief mispricings and keeps YES+NO under $1 over time He was one of the first who understood the rules of this game and quietly print money every day THAT IS THE TRUTH If your bot is making predictions you’re not building a trading system You’re automating gambling Market loves gamblers. They provide volume For someone else To be the best, study the best !

gavelsv.patron

13,751 görüntüleme • 9 ay önce