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DON'T BUILD POLYMARKET BOT BEFORE READING THIS Everyone thinks they can quickly launch an arbitrage bot... Reality check: you won’t. ClawdBot + a few clicks = free money? Nope. Here’s what you’ll face on your very first attempt: 1. The window is microscopic Arb gaps don’t last seconds. In... competitive markets they close in API -> public RPC -> execute You’re already too slow. By the time your trade hits, the spread is gone so you become exit liquidity. 2. LLMs generate probabilities, not certainty Trading systems require: • Deterministic logic • Strict state control • Precise orderbook parsing • Failure handling • Reproducibility Same input must = same output. If your bot sometimes behaves differently, that’s uncontrolled risk. An LLM can help write snippets. But it cannot guarantee production-grade execution logic. 3. Infrastructure > Interface Adding an AI layer doesn’t create edge. Real Polymarket edge comes from: • Modeling correlated markets • Understanding resolution mechanics • Exploiting structural inefficiencies • Latency optimization • Thousands of backtests The bot that made $115k in a week? That’s a clean algorithm + optimized infra + defined edge. You can’t reach that precision through an LLM abstraction layer. 4. Competition is brutal You’re not competing with beginners. You’re competing with: • Quants • Low-latency infra • Bots running 24/7 • Teams optimizing every millisecond Arb margins are already razor thin. Add LLM latency and non-determinism? You’re feeding stronger bots. Building a profitable Polymarket bot is systems engineering. Edge + speed + discipline. Without those, there is no free money. Look at this guy. He makes ~$30k EVERY DAY. Profile link: Looks like a miracle until you realise how long it took to create such a bot. And there are like 10 successful bots all around the world. Still think one prompt will change your life? Time + education + multiple attempts and losses. That's the only way.show more

Oracle Boar

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i build a polymarket trading bot. took an old abandoned repo, rewrote 90% of it. name: zostaff repo: mit. python 3.12+. py-clob-client with eip-712 signed orders. usdc.e on polygon. three strategies in the box: AI Directional (llm via openrouter, any model), Safe Compounder (pure edge math, no llm), Beast Mode (aggressive, kept for comparison). most "ai bots" for polymarket on github are abandoned templates with hardcoded losing strategies. this one ships with a streamlit dashboard, sqlite telemetry on every trade, fallback chain across llm models, circuit breaker at 15% drawdown, quarter-kelly default, paper trading mode by default - until you flip LIVE_TRADING_ENABLED=true, nothing goes live. the readme has a section called "Lessons From Live Trading". real numbers from real losses: three-quarter kelly destroys capital on a 45% win-rate strategy. category discipline beats ai confidence every single time. a 50% drawdown limit isn't a limit. more trades without edge = faster path to zero. this is not a turnkey bot. nobody on polymarket is selling a turnkey bot that works. it's a toolkit with three example strategies you fork to fit your own edge. if you don't have an edge - no llm will save you. if you do - run paper mode for a week before flipping live.

i build a polymarket trading bot. took an old abandoned repo, rewrote 90% of it. name: zostaff repo: mit. python 3.12+. py-clob-client with eip-712 signed orders. usdc.e on polygon. three strategies in the box: AI Directional (llm via openrouter, any model), Safe Compounder (pure edge math, no llm), Beast Mode (aggressive, kept for comparison). most "ai bots" for polymarket on github are abandoned templates with hardcoded losing strategies. this one ships with a streamlit dashboard, sqlite telemetry on every trade, fallback chain across llm models, circuit breaker at 15% drawdown, quarter-kelly default, paper trading mode by default - until you flip LIVE_TRADING_ENABLED=true, nothing goes live. the readme has a section called "Lessons From Live Trading". real numbers from real losses: three-quarter kelly destroys capital on a 45% win-rate strategy. category discipline beats ai confidence every single time. a 50% drawdown limit isn't a limit. more trades without edge = faster path to zero. this is not a turnkey bot. nobody on polymarket is selling a turnkey bot that works. it's a toolkit with three example strategies you fork to fit your own edge. if you don't have an edge - no llm will save you. if you do - run paper mode for a week before flipping live.

zostaff

28,174 views • 3 months ago

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 views • 7 months ago

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

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

Recogard

14,162 views • 2 months ago

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

80,799 views • 4 days ago

🚨 THIS IS CRAZY — someone turned $6 into nearly $4 MILLION in one week. This is not fake. Not clickbait. If you trade on Polymarket, you have to see this. He started with roughly $6–$7 and somehow scaled it to ~$4M. No insider access. No Trump or Musk connections. Just a developer who wrote his own trading script. Profile - Copytrade - I went through his code and honestly — it surprised me. No massive datasets. No insane infrastructure. Nothing even close to rocket science. I spent about 4–6 hours breaking down the entire setup. His full strategy: 1. “Free money” via NO bets The bot targets near-impossible outcomes and stacks countless tiny, high-probability wins. Not gambling — more like systematic risk harvesting. 2. Logic arbitrage If event A clearly implies event B and the market hasn’t adjusted yet, the bot enters instantly. While you’re still reading the news, the edge is already gone. Humans can’t compete with that speed. 3. The real edge: sports & politics These markets are flooded with retail money and emotional reactions. The bot feeds on inefficiencies, clipping small profits from every mismatch. Scale is everything Tens of thousands of micro-trades every month. Each worth cents. Together, they compound into seven figures. Bottom line There’s a silent bot war already happening on Polymarket. Crypto markets are crowded, slow, and fee-heavy. Sports & politics are still chaotic — and chaos is where bots print money.

Discover

537,544 views • 6 months ago

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

Blaze

66,385 views • 7 months ago

Everyone heard about gabagool22 He made $857k by running Polymarket bot What you didn’t know is that he started from $284 That's 301,700% PnL in 3 months No VC. No insider edge. Just a regular guy running a code. Last 24h alone? +$10k. Last hour? 3 trades = +$3.5k. I spent days studying the wallet. It trades almost exclusively 15-minute BTC Up/Down. Same logic, repeated endlessly. The pattern: • Wait until one side drops below 30% • Start accumulating at low average • Monitor the opposite side closely • Ensure combined average stays under $0.99 • If hedge isn’t clean, exit flat This isn’t prediction. It’s controlled probability compression. He’s not trying to guess where BTC goes. He’s exploiting how these binaries misprice when volatility stretches one side too far. When total exposure < $0.99, you’re essentially manufacturing edge. By repeating it 100 times per day, $284 became $857k. His profile: This bot existed before any “build-your-own-bot” hype. Which means one thing: the real edge isn’t the tool. It’s understanding market mechanics. Study wallets like this and reverse engineer the logic. Because if you don’t understand how they operate… You’re not competing with them. You’re feeding them.

Oracle Boar

13,451 views • 6 months ago

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 views • 2 months ago

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,799 views • 4 months ago

🚨THIS GUY FLIPPED $6 INTO $4 MILLION IN JUST A WEEK!! This is NOT a clickbait or fake. If you’re trading on Polymarket, you MUST read it. He began with around $6-7 and somehow pushed it to ~$4M He’s not an insider Not buddies with Trump or Musk Just a coder who built his own script Profile → Copytrade → I went through his code and ngl, I was shocked No huge datasets No crazy complex infrastructure Nothing close to “rocket science” I spent roughly 4-6 hours dissecting his whole setup His FULL strategy: 1. “Free money” through NO bets The bot hunts near-impossible scenarios and stacks tons of tiny, high-probability wins. This isn’t gambling - imo it’s more like systematic risk farming 2. Logic arbitrage If event A clearly leads to event B, and the market hasn’t priced it yet, the bot jumps in instantly. While u’re still reading the headline, the inefficiency is already gone. No human can match that speed, tbh 3. The real edge - sports and politics These markets are packed with retail money + slow, emotional reactions. The bot lives off the spread, clipping tiny profits from every small mismatch Scale matters Tens of thousands of micro trades every month, each bringing just cents. Stacked over time, they compound into 7 figures Bottom line IMO, there’s a silent bot war happening on Polymarket Crypto markets are already crowded, slow, and fee-heavy, but sports markets are still pure chaos - easy money for those who automate.

Shelpid.WI3M

558,430 views • 6 months ago

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:

cvxv666

48,661 views • 4 months ago

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

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

BuBBliK

44,204 views • 7 months ago

Just leaked Polymarket and Binance Arbitrage Strategy Not hype, a real mechanism that bots are using to generate serious daily profits An arbitrage angle almost nobody discusses The window lasts only seconds The impact is huge All you need: Open API + ClawdBot Let’s break it down Open BTC spot on Binance with a 1-second timeframe At the same time, monitor the 5-minute BTC markets on Polymarket You’ll start seeing what regular traders miss When BTC makes a sharp impulse move on Binance, Polymarket doesn’t have time to adjust instantly There’s a short delay For a brief moment, spot has already broken structure but the 5-minute UP/DOWN market is still hovering around 0.45–0.55 like nothing happened Why does this occur Order book inertia Human reaction time Interface latency That micro-gap is the edge By the time a manual trader recognizes the move, clicks, signs, and confirms the trade the odds may already be at 0.75 Bots don’t compete on direction They compete on timing ClawdBots and similar systems stream Binance tick data in real time detect micro-impulses on the 1-second level and execute on Polymarket while pricing still reflects the previous state Example → Some bots structure entries on both sides keeping total exposure under $1 to cap downside if volatility snaps back Closer to expiry, they rebalance toward the dominant move as probability converges toward the final outcome Across thousands of cycles milliseconds compound into serious returns Manual traders compete on opinions Automated systems compete on speed Copytrade →

Just leaked Polymarket and Binance Arbitrage Strategy Not hype, a real mechanism that bots are using to generate serious daily profits An arbitrage angle almost nobody discusses The window lasts only seconds The impact is huge All you need: Open API + ClawdBot Let’s break it down Open BTC spot on Binance with a 1-second timeframe At the same time, monitor the 5-minute BTC markets on Polymarket You’ll start seeing what regular traders miss When BTC makes a sharp impulse move on Binance, Polymarket doesn’t have time to adjust instantly There’s a short delay For a brief moment, spot has already broken structure but the 5-minute UP/DOWN market is still hovering around 0.45–0.55 like nothing happened Why does this occur Order book inertia Human reaction time Interface latency That micro-gap is the edge By the time a manual trader recognizes the move, clicks, signs, and confirms the trade the odds may already be at 0.75 Bots don’t compete on direction They compete on timing ClawdBots and similar systems stream Binance tick data in real time detect micro-impulses on the 1-second level and execute on Polymarket while pricing still reflects the previous state Example → Some bots structure entries on both sides keeping total exposure under $1 to cap downside if volatility snaps back Closer to expiry, they rebalance toward the dominant move as probability converges toward the final outcome Across thousands of cycles milliseconds compound into serious returns Manual traders compete on opinions Automated systems compete on speed Copytrade →

winkle.

35,747 views • 5 months ago

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

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

Oracle Boar

155,166 views • 1 month ago

This wallet turned $5 into $3.7M not on bets. It simply introduced a lag tax on your TV broadcast. While 90% of the chat on Polymarket is foaming at the mouth arguing whether it was offside this algorithm silently withdraws six-figure sums. I broke down the mechanics of the swisstony wallet. His PnL chart looks like a database error or money laundering: +740К% ROI. Account: At first I thought this was an insider. But then I overlaid his trade timings onto real match time. And I felt a chill inside. This is not insider info. This is Reality Arbitrage. How exactly does he steal your profit? You are the Past. You watch football/basketball broadcast on TV or stream. You think this is Live. In reality the signal goes through satellites encoders and servers. Your delay is 15 to 40 seconds. He is the Future. The bot receives data directly from stadium providers through API. The moment of theft. A player scores a goal. The bot learns about this in 200 milliseconds. You will see it only in 30 seconds. During this half minute the Polymarket market still thinks the score is 0:0. People are holding sell orders on NO. Liquidity exists. The bot buys EVERYTHING. It takes free money from those who live in signal delay. When the goal is shown on TV the bot is already selling you your own bet but 3 times more expensive. You are not trading against him. You are simply his food supply. The harsh fact: You physically cannot win. Your eyes and fingers are too slow. Trying to trade manually against a Python script with direct API connection is like trying to outrun a fighter jet on a bicycle. You will always lose. If you want to stop being Exit Liquidity for algorithms you have only one way out. Stop playing the guessing game. Start using the same mechanics. This wallet can be copied. You don't need code you don't need servers for $5k a month. You just need to stand on the winner's side. P.S. The market is inefficient only while few people know about the hole. The window of opportunity closes fast. Act now.

This wallet turned $5 into $3.7M not on bets. It simply introduced a lag tax on your TV broadcast. While 90% of the chat on Polymarket is foaming at the mouth arguing whether it was offside this algorithm silently withdraws six-figure sums. I broke down the mechanics of the swisstony wallet. His PnL chart looks like a database error or money laundering: +740К% ROI. Account: At first I thought this was an insider. But then I overlaid his trade timings onto real match time. And I felt a chill inside. This is not insider info. This is Reality Arbitrage. How exactly does he steal your profit? You are the Past. You watch football/basketball broadcast on TV or stream. You think this is Live. In reality the signal goes through satellites encoders and servers. Your delay is 15 to 40 seconds. He is the Future. The bot receives data directly from stadium providers through API. The moment of theft. A player scores a goal. The bot learns about this in 200 milliseconds. You will see it only in 30 seconds. During this half minute the Polymarket market still thinks the score is 0:0. People are holding sell orders on NO. Liquidity exists. The bot buys EVERYTHING. It takes free money from those who live in signal delay. When the goal is shown on TV the bot is already selling you your own bet but 3 times more expensive. You are not trading against him. You are simply his food supply. The harsh fact: You physically cannot win. Your eyes and fingers are too slow. Trying to trade manually against a Python script with direct API connection is like trying to outrun a fighter jet on a bicycle. You will always lose. If you want to stop being Exit Liquidity for algorithms you have only one way out. Stop playing the guessing game. Start using the same mechanics. This wallet can be copied. You don't need code you don't need servers for $5k a month. You just need to stand on the winner's side. P.S. The market is inefficient only while few people know about the hole. The window of opportunity closes fast. Act now.

Blaze

38,908 views • 7 months ago

Polymarket and Binance Arbitrage Strategy Revealed This isn’t clickbait this is a real story that generates millions per day for bots An arbitrage setup almost no one talks about The gap is only a few seconds and the impact is massive Open API + ClawdBot = all you need Let’s break it down Open BTC spot on Binance with a 1-second timeframe At the same time watch the 5-minute BTC markets on Polymarket You’ll quickly notice what manual traders miss When BTC makes a sharp impulse on Binance Polymarket doesn’t instantly reprice There’s a delay For a short window spot has already broken structure but the 5-minute UP/DOWN market is still sitting around 0.45–0.55 as if nothing happened Why this happens Orderbook inertia Human reaction time Interface latency That micro-gap is the edge While a manual trader processes the move clicks signs and confirms the trade odds have already moved to 0.75 Bots don’t compete on direction They compete on timing ClawdBots and similar systems stream Binance tick data in real time detect micro-impulses on the 1-second level and hit Polymarket while pricing still reflects the previous state Some structure entries on both sides keeping total exposure under $1 to cap downside if volatility snaps back Near expiry they rebalance toward the dominant move as probability converges to the final outcome Across thousands of cycles milliseconds compound into serious money Example → Around $20k per day on these markets $1.6M total PnL in two months Manual traders compete on opinions Automated systems compete on speed And speed wins Copytrade →

Polymarket and Binance Arbitrage Strategy Revealed This isn’t clickbait this is a real story that generates millions per day for bots An arbitrage setup almost no one talks about The gap is only a few seconds and the impact is massive Open API + ClawdBot = all you need Let’s break it down Open BTC spot on Binance with a 1-second timeframe At the same time watch the 5-minute BTC markets on Polymarket You’ll quickly notice what manual traders miss When BTC makes a sharp impulse on Binance Polymarket doesn’t instantly reprice There’s a delay For a short window spot has already broken structure but the 5-minute UP/DOWN market is still sitting around 0.45–0.55 as if nothing happened Why this happens Orderbook inertia Human reaction time Interface latency That micro-gap is the edge While a manual trader processes the move clicks signs and confirms the trade odds have already moved to 0.75 Bots don’t compete on direction They compete on timing ClawdBots and similar systems stream Binance tick data in real time detect micro-impulses on the 1-second level and hit Polymarket while pricing still reflects the previous state Some structure entries on both sides keeping total exposure under $1 to cap downside if volatility snaps back Near expiry they rebalance toward the dominant move as probability converges to the final outcome Across thousands of cycles milliseconds compound into serious money Example → Around $20k per day on these markets $1.6M total PnL in two months Manual traders compete on opinions Automated systems compete on speed And speed wins Copytrade →

winkle.

233,534 views • 5 months ago

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

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

Oracle Boar

77,747 views • 7 days ago

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Himanshu Kumar

37,638 views • 4 months ago

I gave Claude Fable 5 just $100 to test the simplest arbitrage. Left my laptop opened for 24 hours. Session PnL: clean $1,571.66 On Polymarket, YES + NO Aren't there thousands of arbitrage bots already? Absolutely. You're not competing against people. You're competing against infrastructure. The biggest improvement wasn't a new strategy. It was rebuilding the entire execution pipeline. The bot runs on a VPS close to the APIs it talks to instead of my local machine. It keeps persistent connections open instead of reconnecting every request. Market metadata is cached in memory so it only refreshes live prices. Orders are prepared before the opportunity exists. When YES + NO finally drops below $1, there's almost nothing left to calculate. It checks liquidity, order book and submits both legs immediately. Will that beat firms spending millions on low-latency infrastructure? Probably not. It doesn't have to. There are hundreds of active prediction markets, constant volatility and plenty of opportunities that last long enough for a well-engineered bot to compete. That's probably the biggest thing Claude Fable 5 changed for me. I stopped asking it to build me a trading bot and started asking where am I wasting milliseconds. That single shift made the bot noticeably more competitive than any new trading strategy I could have invented. Arbitrage is the king. Irt lives everywhere. The only question is are you ready to study it. Leaving a full build + latency tips guide below this post.

I gave Claude Fable 5 just $100 to test the simplest arbitrage. Left my laptop opened for 24 hours. Session PnL: clean $1,571.66 On Polymarket, YES + NO Aren't there thousands of arbitrage bots already? Absolutely. You're not competing against people. You're competing against infrastructure. The biggest improvement wasn't a new strategy. It was rebuilding the entire execution pipeline. The bot runs on a VPS close to the APIs it talks to instead of my local machine. It keeps persistent connections open instead of reconnecting every request. Market metadata is cached in memory so it only refreshes live prices. Orders are prepared before the opportunity exists. When YES + NO finally drops below $1, there's almost nothing left to calculate. It checks liquidity, order book and submits both legs immediately. Will that beat firms spending millions on low-latency infrastructure? Probably not. It doesn't have to. There are hundreds of active prediction markets, constant volatility and plenty of opportunities that last long enough for a well-engineered bot to compete. That's probably the biggest thing Claude Fable 5 changed for me. I stopped asking it to build me a trading bot and started asking where am I wasting milliseconds. That single shift made the bot noticeably more competitive than any new trading strategy I could have invented. Arbitrage is the king. Irt lives everywhere. The only question is are you ready to study it. Leaving a full build + latency tips guide below this post.

Oracle Boar

18,091 views • 1 month ago

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

47,515 views • 5 months ago