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I vibe coded a market simulation: Perp. contract engine (Orderbook+Matching, Eventsystem+StateAggregator), key order types (Market, Limit, Stop, Reduce), liquidation engine, order fees, autonomous participants (MM, Whale etc.), and a UI dashboard. Every run is different! 22k LOC

Eph

2,551 subscribers

103,241 просмотров • 1 год назад •via X (Twitter)

Финансы Наука и технологии Образование

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля Delta

Delta1 год назад

fuckin nerd

Фото профиля ephemeris

ephemeris1 год назад

appreciate your admiration

Фото профиля Azimuth

Azimuth1 год назад

look @insiliconot things getting out of hand they're too smart

Фото профиля Denis ◎

Denis ◎1 год назад

Very nice now download historical data from exchanges and start back testing

Фото профиля ephemeris

ephemeris1 год назад

Want to work for me?

Фото профиля (Aladhi)🕳️

(Aladhi)🕳️1 год назад

For the record. He is not vibe coding. He es a Damn pro Dev. Who was pre Ai. This will be a thing huh in the future. Devs pre AI will be so valuable

Фото профиля ephemeris

ephemeris1 год назад

No, I only learned some coding basics pre-AI. I even forgot how to write proper function syntax lmao. Exactly this is the beauty of my project

Фото профиля strug 🦴

strug 🦴1 год назад

when ranked leaderboard for trading imaginary tokens that represent the human spirit and our deepest desires

Фото профиля ephemeris

ephemeris1 год назад

I like what you write

Фото профиля Carnation (Doubling Down)

Carnation (Doubling Down)1 год назад

out of all these simulations, how many times do we make it?

Фото профиля ephemeris

ephemeris1 год назад

never

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INSIDER

27,383 просмотров • 12 дней назад

Our new UI design for v4 is live! + many new features! - The previous Side-Orderform has been split into the new Market component for analytics and a more customizable Place Order component - Trades component now also streams Liquidations and offers cross exchange aggregation - Quick Size buttons for the Place Order component: Settings > Orders > Quick Buttons - Auto TP in Header for automatically placing reduce Limit orders on positions (for the scalper headz): Settings > Orders > Auto TP - Add button in Positions component to easily increase your position

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Insilico Terminal

171,428 просмотров • 1 год назад

I made $19,600 in 18 days copy-trading a Chinese quant who turned $200 into $354,000 in 48 hours. Same MiroFish + Claude setup he's used to clear $350K all-time. 7,500% on a single position. I've prepared the exact step-by-step guide to build this BTC simulation engine. Giving this free for 24 hours. To get it: 1. Comment "Claude" + Like and Retweet 2. Follow me Himanshu Kumar (Only then, i can DM you) You only need Claude + a device + 1 hour/day. Used The system below: - Claude = the algorithm's brain - MiroFish = the simulation engine - 10,000 cycles run before every single trade - Closed order book + private OTC desk feeds His wallet hit $350K all-time. Mine hit $19.6K in 18 days copying him. His Polymarket ID: gobblewobble He's not predicting the future. He's running 10,000 versions of every market reaction before the market moves. You Must Follow me Himanshu Kumar, so i can send you DM. You're staring at charts hoping for a setup. He's running Monte Carlo simulations while you sleep.

I made $19,600 in 18 days copy-trading a Chinese quant who turned $200 into $354,000 in 48 hours. Same MiroFish + Claude setup he's used to clear $350K all-time. 7,500% on a single position. I've prepared the exact step-by-step guide to build this BTC simulation engine. Giving this free for 24 hours. To get it: 1. Comment "Claude" + Like and Retweet 2. Follow me Himanshu Kumar (Only then, i can DM you) You only need Claude + a device + 1 hour/day. Used The system below: - Claude = the algorithm's brain - MiroFish = the simulation engine - 10,000 cycles run before every single trade - Closed order book + private OTC desk feeds His wallet hit $350K all-time. Mine hit $19.6K in 18 days copying him. His Polymarket ID: gobblewobble He's not predicting the future. He's running 10,000 versions of every market reaction before the market moves. You Must Follow me Himanshu Kumar, so i can send you DM. You're staring at charts hoping for a setup. He's running Monte Carlo simulations while you sleep.

Himanshu Kumar

130,487 просмотров • 4 месяцев назад

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Ethan

71,943 просмотров • 9 месяцев назад

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

282,748 просмотров • 4 месяцев назад

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

203,703 просмотров • 4 месяцев назад

LP farming on Polymarket for small accounts this one brings me $1500 a month the first order in it cost $45 you do it by hand, with regular limit orders, in a minute of your time. the first payout lands the same night. how it works: 1 - you find a market where one side sits above 95 cents and the other under 5. every market like that has a band around the midpoint - usually a couple of cents each way. an order inside the band counts toward rewards, an order past the edge is useless. the numbers are different on every market, so look them up before you start farming LP rewards. 2 - you buy the cheap side with a limit order. say 1000 shares at 4.5 cents - that's $45. the shares you just bought go straight back up for sale, a little above the midpoint. that's your first leg. 3 - you put a bid a little under the midpoint. that's your second leg. if you have $45 of shares sitting on the sell side and nothing on the buy side, the smaller of the two is zero. and the entire day scores as zero, never mind that a $45 limit order was there. those are Polymarket's rules, and that's why one leg alone gets you nowhere here. 4 - once a day you check where the midpoint moved and drag both legs after it. the midpoint drifts on its own. an order left near the edge of the band still sits in the book but earns pennies - at half the allowed distance it counts for a quarter. a market with a live pool pays around $3.5 a day for every $100 you have working. on $1400 of working capital that's about $49 a day in rewards. almost 50% of cheap markets pay nothing at all - their daily pool is under a dollar. pick your markets by pool size. on a random cheap market you most often get nothing. give this post to your grok bot - let it walk you through the steps for your own bankroll. after that it's picking a market with a live pool and putting up two legs.

LP farming on Polymarket for small accounts this one brings me $1500 a month the first order in it cost $45 you do it by hand, with regular limit orders, in a minute of your time. the first payout lands the same night. how it works: 1 - you find a market where one side sits above 95 cents and the other under 5. every market like that has a band around the midpoint - usually a couple of cents each way. an order inside the band counts toward rewards, an order past the edge is useless. the numbers are different on every market, so look them up before you start farming LP rewards. 2 - you buy the cheap side with a limit order. say 1000 shares at 4.5 cents - that's $45. the shares you just bought go straight back up for sale, a little above the midpoint. that's your first leg. 3 - you put a bid a little under the midpoint. that's your second leg. if you have $45 of shares sitting on the sell side and nothing on the buy side, the smaller of the two is zero. and the entire day scores as zero, never mind that a $45 limit order was there. those are Polymarket's rules, and that's why one leg alone gets you nowhere here. 4 - once a day you check where the midpoint moved and drag both legs after it. the midpoint drifts on its own. an order left near the edge of the band still sits in the book but earns pennies - at half the allowed distance it counts for a quarter. a market with a live pool pays around $3.5 a day for every $100 you have working. on $1400 of working capital that's about $49 a day in rewards. almost 50% of cheap markets pay nothing at all - their daily pool is under a dollar. pick your markets by pool size. on a random cheap market you most often get nothing. give this post to your grok bot - let it walk you through the steps for your own bankroll. after that it's picking a market with a live pool and putting up two legs.

may.crypto {🦅}

81,343 просмотров • 26 дней назад

A 35-year-old marketer from Hong Kong quit his job and got deeply into AI. Using Claude, he made $360,000 in just one month. He built a perfect BTC price simulation engine with MiroFish. Claude as algorithm’s brain + MiroFish simulation engine allowed him to earn $5,000-$15,000 in profit per trade. He left a funny easter egg about his previous profession in his Polymarket nickname - he called himself Marketing101. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $366k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Giving This Free for 24 hours. To get it: 1. Comment what ever think about it. ( Mandatory ) 2. Like and Retweet this post 3. Follow me Marry Evan

A 35-year-old marketer from Hong Kong quit his job and got deeply into AI. Using Claude, he made $360,000 in just one month. He built a perfect BTC price simulation engine with MiroFish. Claude as algorithm’s brain + MiroFish simulation engine allowed him to earn $5,000-$15,000 in profit per trade. He left a funny easter egg about his previous profession in his Polymarket nickname - he called himself Marketing101. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $366k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Giving This Free for 24 hours. To get it: 1. Comment what ever think about it. ( Mandatory ) 2. Like and Retweet this post 3. Follow me Marry Evan

Marry Evan

22,927 просмотров • 4 месяцев назад

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

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

dunik

11,319 просмотров • 7 месяцев назад

just recorded a demo of bankr swap on Base to show how easy it is to place CEX-style order types, but fully onchain. > connect base smart wallet > swap into a coin > set a limit order to sell on +10% pump > set a stop loss on -10% drop > twap to buy over 12 hours coming soon as a standalone app and as a miniapp in the upcoming Baseapp and Farcaster. connect any wallet and get CEX-style orders onchain, launching on base and more chains soon. 0.5% fee on orders. this is the same order engine that powers the bankr agent and will be exposed via API so any app can plug it in, add its own fee, and share more value with its users. smart contracts are currently being audited by SHERLOCK so you can have confidence your funds and orders are handled securely.

just recorded a demo of bankr swap on Base to show how easy it is to place CEX-style order types, but fully onchain. > connect base smart wallet > swap into a coin > set a limit order to sell on +10% pump > set a stop loss on -10% drop > twap to buy over 12 hours coming soon as a standalone app and as a miniapp in the upcoming Baseapp and Farcaster. connect any wallet and get CEX-style orders onchain, launching on base and more chains soon. 0.5% fee on orders. this is the same order engine that powers the bankr agent and will be exposed via API so any app can plug it in, add its own fee, and share more value with its users. smart contracts are currently being audited by SHERLOCK so you can have confidence your funds and orders are handled securely.

bankrbot

26,637 просмотров • 9 месяцев назад

Saros DLMM is here! The engine behind the Internet Financial Market on Solana is now officially running. We built Saros DLMM to turn our vision of open, efficient, and resilient liquidity into reality. No more complex order books or slippage-heavy AMMs. Saros DLMM is here to make trading seamless, accessible and efficient — for everyone: ✅ Seamless LP management ✅ Maximize capital efficency ✅ Earn more with dynamic fees Trade smarter. Provide liquidity more efficiently. 🚀 Try Saros DLMM now: Wonder what makes Saros DLMM special? Take a closer look below 🧵

Saros DLMM is here! The engine behind the Internet Financial Market on Solana is now officially running. We built Saros DLMM to turn our vision of open, efficient, and resilient liquidity into reality. No more complex order books or slippage-heavy AMMs. Saros DLMM is here to make trading seamless, accessible and efficient — for everyone: ✅ Seamless LP management ✅ Maximize capital efficency ✅ Earn more with dynamic fees Trade smarter. Provide liquidity more efficiently. 🚀 Try Saros DLMM now: Wonder what makes Saros DLMM special? Take a closer look below 🧵

Saros

152,531 просмотров • 1 год назад

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:

Roan

119,605 просмотров • 3 дней назад