Archive's banner

Archive

@ArchiveExplorer • 9,447 subscribers

you'll never know if you never go

Shorts

Found an insider on stranger things market and if this guy is right, eleven dies in season 5 account created in december specifically for this event buying positions a week before season 5 drops dumped $34,000 on eleven's death has a distraction bet of $500 on NFL rams vs seahawks match coverage is very obvious, classic technique makes 1-2 normal bets so algorithms don't catch insider movement if he's right, he makes $20k 85-90% this is an insider probably someone with access to leaked finale script or rough cut footage his profile:

480,563 views

My worst AI agent returned 218% in one week 4 AI agents. 4 sports. each one watches its own sport with its own ML model gave each $500. one week results: NERVE: tennis (+540%) $500 → $3,200 PHANTOM: NBA (+486%) $500 → $2,928 FROST: hockey (+395%) $500 → $2,474 SIEGE: soccer (+336%) $500 → $2,182 architecture: Rust + Python hybrid Rust: WebSocket from Sportradar → parsing (protobuf/JSON) → filtering → forwarding via ZeroMQ Python: 4 agents in parallel, each with its own ML model a normal person sees the score on ESPN with a 5-15 second delay we see it in 500ms sportradar is a premium data feed used by bookmakers $800-1000 per month. that's the edge here's what each agent does: - NERVE - tennis. earned the most tennis is the most volatile. one break of serve swings the market 15-20% LSTM neural network, updates on every single point. sees serve speed drops (fatigue), clusters of double faults (mental collapse), medical timeouts win rate 62-68% - PHANTOM - NBA. most accurate LightGBM, inference 20ms. fastest model of the four catches scoring runs, fifth fouls on stars, mid-game injuries. Sportradar is connected to NBA official scoring, data arrives in 500ms. ESPN adds graphics and replays win rate 68-72% - FROST - hockey Gradient Boosting + Monte Carlo catches goalie swaps (backup is 5-8% worse), power plays, empty nets empty net in the last 90 seconds - almost arbitrage. 60% chance of a goal Sportradar pushes the goalie pull instantly. market can't adjust in time win rate 65-70% - SIEGE - soccer. the hardest 3 outcomes instead of two. draws - 25% of matches real-time xG: viewers see 0-0, SIEGE sees xG 2.5 red cards: market panics -20%, real impact -12% win rate 58-64% all models optimized with ONNX runtime (3-5x faster than sklearn) Rust execution: EIP-712 signing, Polymarket CLOB, Kelly sizing, automatic stop-loss. <50ms costs: ~$3,880/month weekly result: $2,000 → $10,784 they just trade faster than everyone else

My worst AI agent returned 218% in one week 4 AI agents. 4 sports. each one watches its own sport with its own ML model gave each $500. one week results: NERVE: tennis (+540%) $500 → $3,200 PHANTOM: NBA (+486%) $500 → $2,928 FROST: hockey (+395%) $500 → $2,474 SIEGE: soccer (+336%) $500 → $2,182 architecture: Rust + Python hybrid Rust: WebSocket from Sportradar → parsing (protobuf/JSON) → filtering → forwarding via ZeroMQ Python: 4 agents in parallel, each with its own ML model a normal person sees the score on ESPN with a 5-15 second delay we see it in 500ms sportradar is a premium data feed used by bookmakers $800-1000 per month. that's the edge here's what each agent does: - NERVE - tennis. earned the most tennis is the most volatile. one break of serve swings the market 15-20% LSTM neural network, updates on every single point. sees serve speed drops (fatigue), clusters of double faults (mental collapse), medical timeouts win rate 62-68% - PHANTOM - NBA. most accurate LightGBM, inference 20ms. fastest model of the four catches scoring runs, fifth fouls on stars, mid-game injuries. Sportradar is connected to NBA official scoring, data arrives in 500ms. ESPN adds graphics and replays win rate 68-72% - FROST - hockey Gradient Boosting + Monte Carlo catches goalie swaps (backup is 5-8% worse), power plays, empty nets empty net in the last 90 seconds - almost arbitrage. 60% chance of a goal Sportradar pushes the goalie pull instantly. market can't adjust in time win rate 65-70% - SIEGE - soccer. the hardest 3 outcomes instead of two. draws - 25% of matches real-time xG: viewers see 0-0, SIEGE sees xG 2.5 red cards: market panics -20%, real impact -12% win rate 58-64% all models optimized with ONNX runtime (3-5x faster than sklearn) Rust execution: EIP-712 signing, Polymarket CLOB, Kelly sizing, automatic stop-loss. <50ms costs: ~$3,880/month weekly result: $2,000 → $10,784 they just trade faster than everyone else

231,925 views

Somewhere in Amsterdam in a small office sit 3 people quant. HFT engineer. risk manager. for years they ran bots on Binance and Bybit but it's a bloodbath there thousands of teams just like them then one of them opened Polymarket and saw that regular people bet on 15-min Bitcoin markets based on vibes they created a wallet deposited $10k ran the bot on micro-volume collecting logs, fixing bugs, testing the model when they knew they were ready poured in $200k bot started doing 618 trades per day first came a $20k drawdown then every day +$30-50k bot is connected to Binance and ChainLink via WebSocket sees BTC move in milliseconds and reacts before Polymarket 17 days later $588,925 profit copying trades through PolyCop

Somewhere in Amsterdam in a small office sit 3 people quant. HFT engineer. risk manager. for years they ran bots on Binance and Bybit but it's a bloodbath there thousands of teams just like them then one of them opened Polymarket and saw that regular people bet on 15-min Bitcoin markets based on vibes they created a wallet deposited $10k ran the bot on micro-volume collecting logs, fixing bugs, testing the model when they knew they were ready poured in $200k bot started doing 618 trades per day first came a $20k drawdown then every day +$30-50k bot is connected to Binance and ChainLink via WebSocket sees BTC move in milliseconds and reacts before Polymarket 17 days later $588,925 profit copying trades through PolyCop

20,509 views

Some trader withdrew all money from polymarket and came back a month later deposited $2,000 with a new strategy now sitting at $137,000 profit he switched to weather markets every day collects data from 5 APIs simultaneously: → Open-Meteo (GFS, ECMWF models) → OpenWeatherMap → WeatherAPI → Tomorrow(.)io → Visual Crossing if 4 out of 5 models agree on one forecast edge exists but the most interesting part - temporal arbitrage cities with best liquidity: NYC, London, Atlanta, Dallas i'm copying his trades using PolyCop started with $500 address: 0xcbbc5e035504421b084ad9248b660f6e9618b5d0

Some trader withdrew all money from polymarket and came back a month later deposited $2,000 with a new strategy now sitting at $137,000 profit he switched to weather markets every day collects data from 5 APIs simultaneously: → Open-Meteo (GFS, ECMWF models) → OpenWeatherMap → WeatherAPI → Tomorrow(.)io → Visual Crossing if 4 out of 5 models agree on one forecast edge exists but the most interesting part - temporal arbitrage cities with best liquidity: NYC, London, Atlanta, Dallas i'm copying his trades using PolyCop started with $500 address: 0xcbbc5e035504421b084ad9248b660f6e9618b5d0

19,899 views

US government won't shutdown Saturday congressional leadership aide just bet on Polymarket he knows the vote count placed bet 3 hours ago if he's right: $54,274 → $245,576 transaction pattern shows they're hiding money origin real insider behavior

US government won't shutdown Saturday congressional leadership aide just bet on Polymarket he knows the vote count placed bet 3 hours ago if he's right: $54,274 → $245,576 transaction pattern shows they're hiding money origin real insider behavior

19,658 views

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

Free preview available • Premium content

A guy runs AI ads for local roofers and they pay him $2,000-$5,000 a month each he doesn't film anything. He doesn't hire anyone he opens Facebook's Ad Library and finds ads that have been running for 6+ months - those are the proven winners then he drops them into Higgsfield and has it rebuild the same ad with the client's logo claude writes the script and the ad copy for him in one afternoon he's got 10-15 video ads for a roofing company that never ran a single ad before he launches them on Meta and leads start coming in through a simple form an AI bot texts every lead back in under 2 minutes and books them straight onto the client's calendar the roofer just wakes up to booked appointments. He has no idea AI did all of it some of these clients have paid him the same fee every month for 2 years straight he bills per lead or a flat retainer - either way it's recurring, and the AI does most of the work one skill, a few tools, and small local businesses that have never touched advertising save this, the quietest AI money right now isn't apps - it's running ads nobody knows are AI

102,407 views • 6 days ago

$1M bonus at 24 for crude oil futures. This is why he left Lockheed. Lit Nomad - missile defense engineer at Lockheed Martin, $60k/year. His classmate landed at Jump Trading when it was 50 people and was pulling 7-figure bonuses straight out of undergrad. Same math, same physics - just derivatives instead of missiles. 19 minutes of the most honest "why I left prestige for quant prop trading" breakdown out there. Save it. Then ask yourself why you're rehearsing a speech in front of the mirror for a 4% raise.

$1M bonus at 24 for crude oil futures. This is why he left Lockheed. Lit Nomad - missile defense engineer at Lockheed Martin, $60k/year. His classmate landed at Jump Trading when it was 50 people and was pulling 7-figure bonuses straight out of undergrad. Same math, same physics - just derivatives instead of missiles. 19 minutes of the most honest "why I left prestige for quant prop trading" breakdown out there. Save it. Then ask yourself why you're rehearsing a speech in front of the mirror for a 4% raise.

201,073 views • 18 days ago

This guy runs an AI consultancy out of Warsaw. for his own client work he built the tool every $10k/mo AI automation builder is secretly running 19,000 stars. 1,500 nodes documented. open source readme still says: "started as a personal tool, now helps tens of thousands of developers" if you're following the guide above - n8n-mcp is where you start → like + bookmark. you'll need this when you build your first claude automation

This guy runs an AI consultancy out of Warsaw. for his own client work he built the tool every $10k/mo AI automation builder is secretly running 19,000 stars. 1,500 nodes documented. open source readme still says: "started as a personal tool, now helps tens of thousands of developers" if you're following the guide above - n8n-mcp is where you start → like + bookmark. you'll need this when you build your first claude automation

382,793 views • 1 month ago

Some guy deposited $150 on polymarket just checked his wallet now sitting at $104k profit asked what's his strategy it's simple his bot buys everything under 5 cents no analysis no predictions some of his winning trades: S&P 500 direction: $4.55 → $2,531 Syria strikes Israel: $16.78 → $2,324 trades obscure markets where prices can be random these markets have low liquidity nobody wants to research them for small profit he started with only $150 what's stopping you?

Some guy deposited $150 on polymarket just checked his wallet now sitting at $104k profit asked what's his strategy it's simple his bot buys everything under 5 cents no analysis no predictions some of his winning trades: S&P 500 direction: $4.55 → $2,531 Syria strikes Israel: $16.78 → $2,324 trades obscure markets where prices can be random these markets have low liquidity nobody wants to research them for small profit he started with only $150 what's stopping you?

1,347,197 views • 3 months ago

This guy works at coinbase. in his spare time he built the largest open dataset for polymarket and kalshi 72,100,000 trades. 7,680,000 markets. open source - figured out who actually makes money on prediction markets - wrote a research paper with the math to prove it - 3,100 stars on github just for that also built heimdall-rs - rust toolkit for evm bytecode analysis. 1,500 stars. serious dev 3,008 contributions in the last year while everyone's posting takes about polymarket - he's building the infrastructure underneath it → like + bookmark. you'll need this when you build your first polymarket bot

This guy works at coinbase. in his spare time he built the largest open dataset for polymarket and kalshi 72,100,000 trades. 7,680,000 markets. open source - figured out who actually makes money on prediction markets - wrote a research paper with the math to prove it - 3,100 stars on github just for that also built heimdall-rs - rust toolkit for evm bytecode analysis. 1,500 stars. serious dev 3,008 contributions in the last year while everyone's posting takes about polymarket - he's building the infrastructure underneath it → like + bookmark. you'll need this when you build your first polymarket bot

118,482 views • 1 month ago

yesterday someone leaked a full quant trading system on GitHub before they deleted it i forked everything 5,000 lines of code. 7 modules. 25 mathematical factors funds use this system to manage millions i studied it for a week. then pointed it at crypto markets on polymarket here's the full breakdown you can feed this to your claude and build the same thing for just $200 ARCHITECTURE: Python thinks, analyzes, calculates C++ executes orders in 5-10ms data → factors → AI → strategy → risk → execution DATA. 4 streams simultaneously: - Binance WebSocket: prices every second, orderbook at 20 levels - AlphaVantage: news with sentiment score from -1 to +1 -X: mention volume, engagement, influencer activity - On-chain: BTC flows to/from exchanges cache in Redis ( target price) = N(d1) d1 = [ln(current/target) + (σ²/2)T] / (σ√T) then 4 adjustments on top: - momentum: +/-5% - AI sentiment: +/-7% - order flow: +/-2% - historical patterns: +/-8% compare final probability against polymarket price if edge > 10%: enter RISK - Quarter Kelly for position sizing - max 5% bankroll per trade - drawdown 15% = bot stops - VaR < 3% per day - correlation between positions < 0.7 - never take more than 1% of market liquidity key insight is don't hold to expiry. trade the movement, not the outcome cost: → Binance API: free → OpenAI: $50-100/month → AWS EC2: $120/month → monitoring: free - total: $200-300/month - code is open source. formulas above. you already have claude the only thing between you and a working system is one free evening

yesterday someone leaked a full quant trading system on GitHub before they deleted it i forked everything 5,000 lines of code. 7 modules. 25 mathematical factors funds use this system to manage millions i studied it for a week. then pointed it at crypto markets on polymarket here's the full breakdown you can feed this to your claude and build the same thing for just $200 ARCHITECTURE: Python thinks, analyzes, calculates C++ executes orders in 5-10ms data → factors → AI → strategy → risk → execution DATA. 4 streams simultaneously: - Binance WebSocket: prices every second, orderbook at 20 levels - AlphaVantage: news with sentiment score from -1 to +1 -X: mention volume, engagement, influencer activity - On-chain: BTC flows to/from exchanges cache in Redis ( target price) = N(d1) d1 = [ln(current/target) + (σ²/2)T] / (σ√T) then 4 adjustments on top: - momentum: +/-5% - AI sentiment: +/-7% - order flow: +/-2% - historical patterns: +/-8% compare final probability against polymarket price if edge > 10%: enter RISK - Quarter Kelly for position sizing - max 5% bankroll per trade - drawdown 15% = bot stops - VaR < 3% per day - correlation between positions < 0.7 - never take more than 1% of market liquidity key insight is don't hold to expiry. trade the movement, not the outcome cost: → Binance API: free → OpenAI: $50-100/month → AWS EC2: $120/month → monitoring: free - total: $200-300/month - code is open source. formulas above. you already have claude the only thing between you and a working system is one free evening

248,969 views • 3 months ago

and how come Tate's only at 87% on polymarket? andrew tate wins like 99.99% he's literally kicking demoor's ass if he even survives to the final bell

and how come Tate's only at 87% on polymarket? andrew tate wins like 99.99% he's literally kicking demoor's ass if he even survives to the final bell

355,406 views • 5 months ago

This telegram bot will make me a millionaire didn’t sleep for 36 hours building it with opus 4.6 send any Polymarket wallet → get all the info what it exports: - every trade ever made - detailed analytics of each - exact timestamps - overall trader analysis ready excel file in 30 seconds but the file alone isn’t enough feed the file + custom prompt into claude ai it decodes their strategy this isn’t copy trading anymore this is logic extraction you can earn like the best polymarket traders

This telegram bot will make me a millionaire didn’t sleep for 36 hours building it with opus 4.6 send any Polymarket wallet → get all the info what it exports: - every trade ever made - detailed analytics of each - exact timestamps - overall trader analysis ready excel file in 30 seconds but the file alone isn’t enough feed the file + custom prompt into claude ai it decodes their strategy this isn’t copy trading anymore this is logic extraction you can earn like the best polymarket traders

218,415 views • 4 months ago

Didn't sleep for 2 days upgrading the bot and now it sees the market inside out i set aside $100 to test strategies and have already turned it into $1,740 bot collects 400-600 wallets of top traders from Polymarket checks them every hour the most interesting part - clusters if 10+ smart wallets enter the same position at the same time bot instantly sends me a signal also added conviction score - rates each signal from 0 to 100 counts how many wallets entered, their total PnL, volume while testing found one wallet $600k profit in one month breaking down his strategy soon

Didn't sleep for 2 days upgrading the bot and now it sees the market inside out i set aside $100 to test strategies and have already turned it into $1,740 bot collects 400-600 wallets of top traders from Polymarket checks them every hour the most interesting part - clusters if 10+ smart wallets enter the same position at the same time bot instantly sends me a signal also added conviction score - rates each signal from 0 to 100 counts how many wallets entered, their total PnL, volume while testing found one wallet $600k profit in one month breaking down his strategy soon

202,500 views • 3 months ago

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

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

81,338 views • 3 months ago

These bot make $15-50k per month on polymarket bot analyze fights in real-time and place bets before crowd reacts every punch and moment makes a big difference it uses computer vision to analyze the fight detects events and processes at 50 FPS with ~200-400 ms latency predicts outcome before market reacts example: Joshua vs Paul fight bot sees Joshua landing heavy punches while crowd hasn't reacted yet odds unchanged bot immediately buys Joshua win 10-15 seconds later when crowd reacts, it sells bot architecture: - Forecaster - evaluates event probability using visual data - Critic - identifies missed context - Trader - makes buy/sell decisions and position sizing to create such a bot you need access to direct video feed of the fight not TV broadcast, but YOLO v8/v9 for real-time detection OpenCV for video stream processing GPU acceleration is critical for low latency UFC events on Polymarket roughly 8-12 per month with that volume the bot could easily make up to $50k

These bot make $15-50k per month on polymarket bot analyze fights in real-time and place bets before crowd reacts every punch and moment makes a big difference it uses computer vision to analyze the fight detects events and processes at 50 FPS with ~200-400 ms latency predicts outcome before market reacts example: Joshua vs Paul fight bot sees Joshua landing heavy punches while crowd hasn't reacted yet odds unchanged bot immediately buys Joshua win 10-15 seconds later when crowd reacts, it sells bot architecture: - Forecaster - evaluates event probability using visual data - Critic - identifies missed context - Trader - makes buy/sell decisions and position sizing to create such a bot you need access to direct video feed of the fight not TV broadcast, but YOLO v8/v9 for real-time detection OpenCV for video stream processing GPU acceleration is critical for low latency UFC events on Polymarket roughly 8-12 per month with that volume the bot could easily make up to $50k

75,511 views • 5 months ago

Well, guess I'm going to court found an absurd loophole on Polymarket if a lawsuit is filed on behalf of an agent by Feb 28, resolves YES how to do it: - create an agent on Moltbook (free) - go to small claims court - fill out the form - pay $60 - bet $1,000 on Polymarket $1,000 -> $2,380 judge will throw out the lawsuit later for lack of standing but per the rules that doesn't matter and never trust headlines

Well, guess I'm going to court found an absurd loophole on Polymarket if a lawsuit is filed on behalf of an agent by Feb 28, resolves YES how to do it: - create an agent on Moltbook (free) - go to small claims court - fill out the form - pay $60 - bet $1,000 on Polymarket $1,000 -> $2,380 judge will throw out the lawsuit later for lack of standing but per the rules that doesn't matter and never trust headlines

53,663 views • 4 months ago

My AI agent is about to be used by Wall Street been locked in all week writing code gave my agent $1000 and it turned them into $2320 (+132%) had to share this with you his name is Lumi he builds his own research plan, filters markets aggressively, pulls live data, calculates every metric, cross-checks himself and delivers a ready thesis 4 agents inside: - one plans - another calculates risk and position size - a third executes the best trades - fourth updates the parameters every 3 days running every 4 hours nonstop or on demand if you need a specific market a team of analysts charges tens of thousands a year for this full guide on how to build the same agent is coming soon

My AI agent is about to be used by Wall Street been locked in all week writing code gave my agent $1000 and it turned them into $2320 (+132%) had to share this with you his name is Lumi he builds his own research plan, filters markets aggressively, pulls live data, calculates every metric, cross-checks himself and delivers a ready thesis 4 agents inside: - one plans - another calculates risk and position size - a third executes the best trades - fourth updates the parameters every 3 days running every 4 hours nonstop or on demand if you need a specific market a team of analysts charges tens of thousands a year for this full guide on how to build the same agent is coming soon

40,871 views • 3 months ago

I woke up to $4,217 on polymarket a week ago it was $1,000 i didn't place a single trade myself 6 AI agents did it for me running 24/7 on a $9/month server 84 trades. 57 wins. 69% win rate here's the full architecture, you can build the same thing 6 agents. each one has one job SCANNER monitors every hourly BTC/ETH market on polymarket pulls price from binance websocket in real time calculates momentum, volatility, orderbook imbalance runs every 60 minutes FACTOR MINER generates trading hypotheses using claude haiku ($0.25/1M tokens) tests each one against historical data keeps only factors with IC > 0.05 currently running 10 active factors. auto-kills bad ones after 50 trades ANALYST runs 3 signals in parallel: → LightGBM model (30 features, 500 trees) outputs probability → claude sonnet reads news from tavily, scores sentiment, weighted by source trust (EMA 0.95) → orderflow detector tracks whale buys, liquidity shifts, large order clusters all 3 signals go through bayesian aggregation not simple voting. actual bayes theorem market 52% UP. my signals: 62%, 71%, 63% bayesian posterior: 82% final probability 75.4% edge = 23.4% AUDITOR checks everything before money moves. catches hallucinated news blocks trades under 10 min to resolution blocks low liquidity markets penalizes confidence by 8% per flag found RISK MANAGER quarter kelly. max 10% bankroll per trade stops after 3 consecutive losses 15% drawdown = everything shuts down correlation limits so BTC and ETH positions don't stack. calculates exact EV before every trade EXECUTOR places orders through polymarket CLI. retry logic. 3 attempts. iceberg splits for large positions stack: → python + lightgbm for ML → langgraph for agent orchestration → binance websocket for prices → polymarket CLI (rust) for execution → coinbase agentic wallet (TEE) → hetzner VPS CX32: $9/month full monthly cost: $29 results after 7 days: 84 trades. 57 wins. 27 losses win rate: 69% $1,000 → $4,217 avg $460/day at current bankroll compound math: $17,800 by next friday $75k+ end of month the system trades every hour. i check telegram alerts from my phone

I woke up to $4,217 on polymarket a week ago it was $1,000 i didn't place a single trade myself 6 AI agents did it for me running 24/7 on a $9/month server 84 trades. 57 wins. 69% win rate here's the full architecture, you can build the same thing 6 agents. each one has one job SCANNER monitors every hourly BTC/ETH market on polymarket pulls price from binance websocket in real time calculates momentum, volatility, orderbook imbalance runs every 60 minutes FACTOR MINER generates trading hypotheses using claude haiku ($0.25/1M tokens) tests each one against historical data keeps only factors with IC > 0.05 currently running 10 active factors. auto-kills bad ones after 50 trades ANALYST runs 3 signals in parallel: → LightGBM model (30 features, 500 trees) outputs probability → claude sonnet reads news from tavily, scores sentiment, weighted by source trust (EMA 0.95) → orderflow detector tracks whale buys, liquidity shifts, large order clusters all 3 signals go through bayesian aggregation not simple voting. actual bayes theorem market 52% UP. my signals: 62%, 71%, 63% bayesian posterior: 82% final probability 75.4% edge = 23.4% AUDITOR checks everything before money moves. catches hallucinated news blocks trades under 10 min to resolution blocks low liquidity markets penalizes confidence by 8% per flag found RISK MANAGER quarter kelly. max 10% bankroll per trade stops after 3 consecutive losses 15% drawdown = everything shuts down correlation limits so BTC and ETH positions don't stack. calculates exact EV before every trade EXECUTOR places orders through polymarket CLI. retry logic. 3 attempts. iceberg splits for large positions stack: → python + lightgbm for ML → langgraph for agent orchestration → binance websocket for prices → polymarket CLI (rust) for execution → coinbase agentic wallet (TEE) → hetzner VPS CX32: $9/month full monthly cost: $29 results after 7 days: 84 trades. 57 wins. 27 losses win rate: 69% $1,000 → $4,217 avg $460/day at current bankroll compound math: $17,800 by next friday $75k+ end of month the system trades every hour. i check telegram alerts from my phone

29,952 views • 3 months ago

My bot found something incredible and rn it made $100 -> $2,130 ( + $420 today ) here’s its full working logic: > it connects to polymarket API > finds 400-600 wallets from the leaderboard > spots traders matching needed criteria > downloads ALL their historical trades > sends this dataset to claude it runs cluster analysis of transactions > outputs their risk profile and entry logic then my bot starts trading on its own one of the strategies it found - NegRisk arbitrage the idea isn't really complicated on a market with 5 candidates u buy "no" on all five bet sizing via kelly criterion sentiment analysis via gemini measures market madness $100 → $2,130 in 5 days scaling to $5k next week

27,685 views • 3 months ago

Somewhere in Amsterdam in a small office sit 3 people quant. HFT engineer. risk manager. for years they ran bots on Binance and Bybit but it's a bloodbath there thousands of teams just like them then one of them opened Polymarket and saw that regular people bet on 15-min Bitcoin markets based on vibes they created a wallet deposited $10k ran the bot on micro-volume collecting logs, fixing bugs, testing the model when they knew they were ready poured in $200k bot started doing 618 trades per day first came a $20k drawdown then every day +$30-50k bot is connected to Binance and ChainLink via WebSocket sees BTC move in milliseconds and reacts before Polymarket 17 days later $588,925 profit copying trades through PolyCop

Somewhere in Amsterdam in a small office sit 3 people quant. HFT engineer. risk manager. for years they ran bots on Binance and Bybit but it's a bloodbath there thousands of teams just like them then one of them opened Polymarket and saw that regular people bet on 15-min Bitcoin markets based on vibes they created a wallet deposited $10k ran the bot on micro-volume collecting logs, fixing bugs, testing the model when they knew they were ready poured in $200k bot started doing 618 trades per day first came a $20k drawdown then every day +$30-50k bot is connected to Binance and ChainLink via WebSocket sees BTC move in milliseconds and reacts before Polymarket 17 days later $588,925 profit copying trades through PolyCop

20,509 views • 3 months ago

How to make money on disputes on Polymarket disputes are where real traders pull x50-100 while others just say polymarket is a scam if you learn how to read them you can buy at 0.1 what later settles at 1.00 how to find disputed markets: - aggregators like Betmoar - UMA vote list of active and upcoming votes - discord real arguments, screenshots, links, rule copypastas look for markets and check what counts as YES, NO, and what happens if the outcome is ambiguous then you need to look at how similar cases were resolved before like zelensky's suit or the UFO in december if the same type of event was already resolved in a certain way, then you've found what you need whales vote for the outcome that's profitable for them and they are the ones who decide how the market will settle in theory, the crowd can outvote them but in practice, never seen that happen, lmao i'll be trying to trade like this and sharing my trades and results

How to make money on disputes on Polymarket disputes are where real traders pull x50-100 while others just say polymarket is a scam if you learn how to read them you can buy at 0.1 what later settles at 1.00 how to find disputed markets: - aggregators like Betmoar - UMA vote list of active and upcoming votes - discord real arguments, screenshots, links, rule copypastas look for markets and check what counts as YES, NO, and what happens if the outcome is ambiguous then you need to look at how similar cases were resolved before like zelensky's suit or the UFO in december if the same type of event was already resolved in a certain way, then you've found what you need whales vote for the outcome that's profitable for them and they are the ones who decide how the market will settle in theory, the crowd can outvote them but in practice, never seen that happen, lmao i'll be trying to trade like this and sharing my trades and results

25,192 views • 5 months ago

I built my own Telegram bot for tracking and analyzing whales/insiders saw Jayden ⛩️ 's article about Whale Watcher grabbed the idea, threw it into Claude AI and described what I wanted 2 hours later got a working Telegram bot: - alerts on every whale trade (can set custom intervals) - export all trades to Excel (can set trade count) - entry points, sizes, timing, PnL now i analyze any trader in a minute and track whoever i need on polymarket all you need to make money is get off the couch and build

I built my own Telegram bot for tracking and analyzing whales/insiders saw Jayden ⛩️ 's article about Whale Watcher grabbed the idea, threw it into Claude AI and described what I wanted 2 hours later got a working Telegram bot: - alerts on every whale trade (can set custom intervals) - export all trades to Excel (can set trade count) - entry points, sizes, timing, PnL now i analyze any trader in a minute and track whoever i need on polymarket all you need to make money is get off the couch and build

14,233 views • 4 months ago

No more content to load