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AI/ML engineer | @Polymarket believer DM is open/long-term cooperation

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$i made $83,000 by looking at one number not the price not the volume the spread α = Δ / (V_h − μ) α is the fraction of traders in the market who already know the correct answer spread 0.05 → α = 5% safe to enter spread 0.15 → α = 15% be careful spread 0.25 → α = 20% one in five knows more than you before this i entered markets with wide spreads i thought illiquid, inefficient, that's where the money is turns out a wide spread means smart money is already there and i was paying their bill every single time once i started filtering markets by this formula stopped entering anything where α > 12% $83,000 in the next two months same polymarket same markets i just stopped being someone else's α i track these markets in real time through a bot it calculates α for every market automatically and only alerts when the entry is clean did you know the spread tells you exactly who else is in the game?$

i made $83,000 by looking at one number not the price not the volume the spread α = Δ / (V_h − μ) α is the fraction of traders in the market who already know the correct answer spread 0.05 → α = 5% safe to enter spread 0.15 → α = 15% be careful spread 0.25 → α = 20% one in five knows more than you before this i entered markets with wide spreads i thought illiquid, inefficient, that's where the money is turns out a wide spread means smart money is already there and i was paying their bill every single time once i started filtering markets by this formula stopped entering anything where α > 12% $83,000 in the next two months same polymarket same markets i just stopped being someone else's α i track these markets in real time through a bot it calculates α for every market automatically and only alerts when the entry is clean did you know the spread tells you exactly who else is in the game?

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karpathy's CLAUDE.md hit #1 on github trending. 220,000 stars. most devs still haven't read it. it's 65 lines. it took AI coding accuracy from 65% to 94%. the 4 rules inside: → think before coding state your assumptions. ask when unsure. never guess. → simplicity first write the minimum code that solves the problem. no abstractions nobody asked for. → surgical changes don't touch code unrelated to the request. every changed line must trace back to what was asked. → goal-driven execution turn vague instructions into verifiable success criteria before writing a single line. that's it. 65 lines. 4 rules. 94% accuracy. save this before everyone else does.

karpathy's CLAUDE.md hit #1 on github trending. 220,000 stars. most devs still haven't read it. it's 65 lines. it took AI coding accuracy from 65% to 94%. the 4 rules inside: → think before coding state your assumptions. ask when unsure. never guess. → simplicity first write the minimum code that solves the problem. no abstractions nobody asked for. → surgical changes don't touch code unrelated to the request. every changed line must trace back to what was asked. → goal-driven execution turn vague instructions into verifiable success criteria before writing a single line. that's it. 65 lines. 4 rules. 94% accuracy. save this before everyone else does.

2,570,954 views • 14 days ago

one Polymarket account quietly turned $50 into $435,000 no one talked about it i reverse‑engineered it and asked Claude to build a similar bot using the same strategy one prompt, 40 minutes, done polymarket updates BTC contract prices slower than real price feeds → the bot pulls BTC predictions from TradingView + CryptoQuant → catches the moment when Polymarket lags by >0.3% → executes in <100ms before the market catches up → 1000+ orders per second, 0.3-0.8% per trade risk: 0.5% per trade, 2% daily cap it brings in $400‑700/day runs locally no cloud, no GPU written in Rust how long do you think the bot era will last?

one Polymarket account quietly turned $50 into $435,000 no one talked about it i reverse‑engineered it and asked Claude to build a similar bot using the same strategy one prompt, 40 minutes, done polymarket updates BTC contract prices slower than real price feeds → the bot pulls BTC predictions from TradingView + CryptoQuant → catches the moment when Polymarket lags by >0.3% → executes in <100ms before the market catches up → 1000+ orders per second, 0.3-0.8% per trade risk: 0.5% per trade, 2% daily cap it brings in $400‑700/day runs locally no cloud, no GPU written in Rust how long do you think the bot era will last?

2,805,938 views • 3 months ago

people think running AI locally requires: → $3,000 MacBook Pro → RTX 4090 → $20/month cloud subscription nvidia just dropped a $249 computer. 67 TOPS. runs llama 3.1-8B locally. no internet. no API. no monthly fee. ever. smaller than your router. costs the same as AirPods. runs the same models you pay $240/year to access via ChatGPT. the local AI era just got a price tag. $249.

people think running AI locally requires: → $3,000 MacBook Pro → RTX 4090 → $20/month cloud subscription nvidia just dropped a $249 computer. 67 TOPS. runs llama 3.1-8B locally. no internet. no API. no monthly fee. ever. smaller than your router. costs the same as AirPods. runs the same models you pay $240/year to access via ChatGPT. the local AI era just got a price tag. $249.

320,443 views • 20 days ago

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

792,538 views • 1 month ago

github just created an official certification for "agentic AI developer." exam: GH-600. skills tested: multi-agent orchestration, state management, system design. GA: july 2026. first 100 beta takers: 80% off. deadline may 31. this is the first time "AI agent engineer" has a credential behind it. not a linkedin skill tag. not a course completion badge. a formal certification. backed by github and microsoft. the role is real. the credential is real. the free roadmap to get there is 14 weeks and $0. like + bookmark to save.

github just created an official certification for "agentic AI developer." exam: GH-600. skills tested: multi-agent orchestration, state management, system design. GA: july 2026. first 100 beta takers: 80% off. deadline may 31. this is the first time "AI agent engineer" has a credential behind it. not a linkedin skill tag. not a course completion badge. a formal certification. backed by github and microsoft. the role is real. the credential is real. the free roadmap to get there is 14 weeks and $0. like + bookmark to save.

158,916 views • 19 days ago

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this

356,867 views • 1 month ago

ex-Googlers published a map of every internal tool Google uses and its open-source equivalent. 15,200 stars. 1,100 forks. 99 contributors. → Borg = Kubernetes → Spanner = CockroachDB → Colossus = HDFS → Dremel = DuckDB / Presto → Chubby = Zookeeper → Stubby = gRPC → Zanzibar = SpiceDB → Blaze = Bazel → MapReduce = Spark everything Google engineers use every day. all of it has an open-source equivalent. none of it requires working at Google. like+bookmark

ex-Googlers published a map of every internal tool Google uses and its open-source equivalent. 15,200 stars. 1,100 forks. 99 contributors. → Borg = Kubernetes → Spanner = CockroachDB → Colossus = HDFS → Dremel = DuckDB / Presto → Chubby = Zookeeper → Stubby = gRPC → Zanzibar = SpiceDB → Blaze = Bazel → MapReduce = Spark everything Google engineers use every day. all of it has an open-source equivalent. none of it requires working at Google. like+bookmark

229,788 views • 1 month ago

someone just open-sourced an entire AI company. 147 agents. 12 departments. engineering, design, marketing, sales, finance, QA, support. each agent has a role, a workflow, deliverables. not a chatbot. a team. claude code, cursor, copilot, gemini cli, windsurf. 1 command to deploy everything. started as a reddit thread. 88,000 stars. 14,000 forks later. MIT. free. yours. this should cost $50,000/year

someone just open-sourced an entire AI company. 147 agents. 12 departments. engineering, design, marketing, sales, finance, QA, support. each agent has a role, a workflow, deliverables. not a chatbot. a team. claude code, cursor, copilot, gemini cli, windsurf. 1 command to deploy everything. started as a reddit thread. 88,000 stars. 14,000 forks later. MIT. free. yours. this should cost $50,000/year

204,215 views • 1 month ago

my 16 year old brother read this article on a tuesday night wednesday morning he opened checked the NOAA forecast for NYC: 43 degrees checked polymarket: "40-45 range" priced at $0.15 NOAA accuracy: 93%. market says 15%. somebody is very wrong he bought 200 shares at $0.15 next day temperature: 43 degrees shares resolved at $1.00 $0.15 to $1.00. 567% return. one trade. one weather forecast he didn't stop day 1: NYC weather. $170 profit day 3: London temperature. $94 day 5: Chicago high. $210 day 8: Seoul forecast. $147 day 12: back to NYC. $320 he built a routine: 7:00 AM check NOAA 7:02 AM compare with polymarket 7:03 AM buy if divergence > 30% go to school by week 6: starting capital: $400 - birthday money balance: $8,740 trades: 312 win rate: 87.4% avg profit per trade: $26.70 time per day: 3 minutes before school NOAA updates forecasts 9-15 minutes before polymarket adjusts $6 billion government supercomputer vs teenagers checking weather between tiktoks he has made more in 6 weeks than his teacher makes in 2 months the data is free. NOAA is a government website. public. updated hourly the formula is 5th grade math: EV = (0.93 x $1.00) - $0.15 = $0.78 78 cents per share on the best setups my brother doesn't know what LMSR is doesn't know what softmax is doesn't know what a neural network is he knows one thing: NOAA is right 93% of the time and polymarket hasn't figured that out yet i spent 3 months writing 4,000 lines of Rust he checks for 3 minutes and goes to school 16 years old. $8,740. 3 minutes a day. one government website what free public data source are you not checking?

my 16 year old brother read this article on a tuesday night wednesday morning he opened checked the NOAA forecast for NYC: 43 degrees checked polymarket: "40-45 range" priced at $0.15 NOAA accuracy: 93%. market says 15%. somebody is very wrong he bought 200 shares at $0.15 next day temperature: 43 degrees shares resolved at $1.00 $0.15 to $1.00. 567% return. one trade. one weather forecast he didn't stop day 1: NYC weather. $170 profit day 3: London temperature. $94 day 5: Chicago high. $210 day 8: Seoul forecast. $147 day 12: back to NYC. $320 he built a routine: 7:00 AM check NOAA 7:02 AM compare with polymarket 7:03 AM buy if divergence > 30% go to school by week 6: starting capital: $400 - birthday money balance: $8,740 trades: 312 win rate: 87.4% avg profit per trade: $26.70 time per day: 3 minutes before school NOAA updates forecasts 9-15 minutes before polymarket adjusts $6 billion government supercomputer vs teenagers checking weather between tiktoks he has made more in 6 weeks than his teacher makes in 2 months the data is free. NOAA is a government website. public. updated hourly the formula is 5th grade math: EV = (0.93 x $1.00) - $0.15 = $0.78 78 cents per share on the best setups my brother doesn't know what LMSR is doesn't know what softmax is doesn't know what a neural network is he knows one thing: NOAA is right 93% of the time and polymarket hasn't figured that out yet i spent 3 months writing 4,000 lines of Rust he checks for 3 minutes and goes to school 16 years old. $8,740. 3 minutes a day. one government website what free public data source are you not checking?

400,329 views • 2 months ago

Claude Code costs $200/month here's how to run it for free. 4 commands. 10 minutes step 1 - install Ollama runs AI models locally → download from → install. it runs in background on localhost:11434 step 2 - download a coding model → ollama pull qwen2.5-coder:14b (7b for 8GB RAM, 32b for 32GB+ RAM) step 3 - redirect Claude Code to your machine → export ANTHROPIC_BASE_URL= → export ANTHROPIC_MODEL=qwen2.5-coder:14b step 4 - launch → claude → "make a hello world website" → it reads files, writes code, runs commands. locally. free same agent loop. same tools. $0/month the $200 was for convenience the capability was always free like + bookmark - you'll need this

Claude Code costs $200/month here's how to run it for free. 4 commands. 10 minutes step 1 - install Ollama runs AI models locally → download from → install. it runs in background on localhost:11434 step 2 - download a coding model → ollama pull qwen2.5-coder:14b (7b for 8GB RAM, 32b for 32GB+ RAM) step 3 - redirect Claude Code to your machine → export ANTHROPIC_BASE_URL= → export ANTHROPIC_MODEL=qwen2.5-coder:14b step 4 - launch → claude → "make a hello world website" → it reads files, writes code, runs commands. locally. free same agent loop. same tools. $0/month the $200 was for convenience the capability was always free like + bookmark - you'll need this

176,742 views • 1 month ago

i'm running a MEV attack on everyone trading polymarket $100 → $700,000 and you have no idea your transaction sits in the polygon mempool for 400 milliseconds 400ms i'm already inside and already making money off you it's called front-running it's legal and there's nothing you can do about it the setup: you hit "confirm" on $80,000 12ms later my node sees you in the mempool 340ms before the block i'm already in the position you move the price with your entry i'm already there you buy at a worse price than me every single time no exceptions 23 days of MEV on polymarket: → best trade: whale dropped $200K on iran strike i front-ran them by 290ms +$18,400 → max drawdown: 2.8% → net: $628,000 all you need is a node on polygon $47/month while you're watching the price i'm watching the mempool while you're entering i'm already exiting you think you're trading the market you're actually trading against me only hardcode only RUST did you even know this existed?

i'm running a MEV attack on everyone trading polymarket $100 → $700,000 and you have no idea your transaction sits in the polygon mempool for 400 milliseconds 400ms i'm already inside and already making money off you it's called front-running it's legal and there's nothing you can do about it the setup: you hit "confirm" on $80,000 12ms later my node sees you in the mempool 340ms before the block i'm already in the position you move the price with your entry i'm already there you buy at a worse price than me every single time no exceptions 23 days of MEV on polymarket: → best trade: whale dropped $200K on iran strike i front-ran them by 290ms +$18,400 → max drawdown: 2.8% → net: $628,000 all you need is a node on polygon $47/month while you're watching the price i'm watching the mempool while you're entering i'm already exiting you think you're trading the market you're actually trading against me only hardcode only RUST did you even know this existed?

176,118 views • 3 months ago

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

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

23,461 views • 1 month ago

i reverse-engineered gopfan2's weather strategy with Claude gopfan2 has $343,000+ in profit on Polymarket trading nothing but weather markets no BTC. no politics. just temperature. the strategy has 3 rules: → buy YES if price $0.45 → never bet more than $1 per position that's it. 10,000+ trades. same rules. every single time. why it works: retail traders bet on the obvious temperature range they ignore the cheap "tail" buckets → market prices them at 10–12¢ → real probability is closer to 18–20¢ → gopfan2 buys the gap. thousands of times. no weather forecast model needed no satellites. no NOAA API. just: is this bucket priced below 15 cents? yes → buy. Claude reverse-engineered the exact entry/exit logic found that the real edge disappears above 15¢ entry copy the open-source version: watch him: what trader do you want me to reverse-engineer next?

i reverse-engineered gopfan2's weather strategy with Claude gopfan2 has $343,000+ in profit on Polymarket trading nothing but weather markets no BTC. no politics. just temperature. the strategy has 3 rules: → buy YES if price $0.45 → never bet more than $1 per position that's it. 10,000+ trades. same rules. every single time. why it works: retail traders bet on the obvious temperature range they ignore the cheap "tail" buckets → market prices them at 10–12¢ → real probability is closer to 18–20¢ → gopfan2 buys the gap. thousands of times. no weather forecast model needed no satellites. no NOAA API. just: is this bucket priced below 15 cents? yes → buy. Claude reverse-engineered the exact entry/exit logic found that the real edge disappears above 15¢ entry copy the open-source version: watch him: what trader do you want me to reverse-engineer next?

10,493 views • 1 month ago

$15 hardware $290,000 profit Raspberry Pi Zero for $15 512MB RAM 1GHz ARM WiFi power consumption 0.4 watts bot is written in Rust uses 38MB of memory binary weighs 4.2MB deploy in 4 commands: → curl the script from github → ./install.sh → nano config.toml (paste your polymarket API key) → systemctl start claw that's it bot runs 24/7 off a 20,000mAh power bank one charge lasts 9 days i'm literally trading polymarket from my backpack strategy inside: bot polls CLOB API every 4 seconds compares price against model (xgboost trained on 14,000 resolutions) if divergence > 9% and confidence > 0.74 enter immediately avg execution: 280ms on Pi Zero yes slower than Mac Mini by 120ms but the edge lives for 11 minutes i don't need milliseconds i need math 6 months on Pi Zero: 4,200 trades winrate: 71.3% avg profit per trade: $14.80 max drawdown: 3.4% net: $290,000 hardware cost: $15 electricity for 6 months: $0.87 ROI on infrastructure: 1,933,333% the most expensive part of my setup is the power cable your phone on the table costs more than my trading machine how much do you spend on infrastructure that doesn't give you edge?

$15 hardware $290,000 profit Raspberry Pi Zero for $15 512MB RAM 1GHz ARM WiFi power consumption 0.4 watts bot is written in Rust uses 38MB of memory binary weighs 4.2MB deploy in 4 commands: → curl the script from github → ./install.sh → nano config.toml (paste your polymarket API key) → systemctl start claw that's it bot runs 24/7 off a 20,000mAh power bank one charge lasts 9 days i'm literally trading polymarket from my backpack strategy inside: bot polls CLOB API every 4 seconds compares price against model (xgboost trained on 14,000 resolutions) if divergence > 9% and confidence > 0.74 enter immediately avg execution: 280ms on Pi Zero yes slower than Mac Mini by 120ms but the edge lives for 11 minutes i don't need milliseconds i need math 6 months on Pi Zero: 4,200 trades winrate: 71.3% avg profit per trade: $14.80 max drawdown: 3.4% net: $290,000 hardware cost: $15 electricity for 6 months: $0.87 ROI on infrastructure: 1,933,333% the most expensive part of my setup is the power cable your phone on the table costs more than my trading machine how much do you spend on infrastructure that doesn't give you edge?

21,058 views • 2 months ago

i built an arbitrage machine for money in one evening, it helped me earn $1,500 → constantly fetches prices from Binance and Polymarket → waits for the moment when the price on Binance differs from Polymarket → buys long where it's cheaper, buys short where it's more expensive → keeps positions open until prices converge → closes both positions simultaneously takes profit = price difference minus fees it uses Polymarket's CLOB and Binance's futures API it all works on tiny discrepancies and is written in Rust this feels like quantum trading what ideas do you have for Polymarket strategies?

i built an arbitrage machine for money in one evening, it helped me earn $1,500 → constantly fetches prices from Binance and Polymarket → waits for the moment when the price on Binance differs from Polymarket → buys long where it's cheaper, buys short where it's more expensive → keeps positions open until prices converge → closes both positions simultaneously takes profit = price difference minus fees it uses Polymarket's CLOB and Binance's futures API it all works on tiny discrepancies and is written in Rust this feels like quantum trading what ideas do you have for Polymarket strategies?

19,763 views • 3 months ago

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