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THIS IS INSANE — AN ANTHROPIC ENGINEER BUILT A CLAUDE CODE BOT THAT READS INSTITUTIONAL OPTIONS FLOW IN REAL TIME AND TURNED $200 INTO $14,300 TRADING ALONGSIDE THE BIGGEST ORDERS ON THE TAPE the bot doesn't predict. it stalks it reads thousands of institutional options orders streaming through SpotGamma...

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INSIDER

3,541 subscribers

127,572 Aufrufe • vor 2 Tagen •via X (Twitter)

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24 Kommentare

Profilbild von St1mul
St1mulvor 2 Tagen

$200 to $14,300 is a flashy number, but the account posting this is selling its own "trading stack" further down. Classic pattern: show an impressive screenshot, then sell the "secret" to followers. A real edge on real capital doesn't get marketed this way.

Profilbild von INSIDER
INSIDERvor 2 Tagen

The stack is free and open. No course, no Discord, no paywall. If sharing the tools I use after showing the result is marketing, then every open-source contributor on GitHub is running a sales funnel.

Profilbild von Slaut
Slautvor 2 Tagen

So glad AI exists, imagine sorting and analyzing all that info by your own hands, crazy

Profilbild von INSIDER
INSIDERvor 2 Tagen

AI is doing really good things

Profilbild von exit
exitvor 2 Tagen

I've never seen anything this useful before

Profilbild von INSIDER
INSIDERvor 2 Tagen

Thanks

Profilbild von boan
boanvor 2 Tagen

selectivity is the real edge

Profilbild von INSIDER
INSIDERvor 2 Tagen

That’s true

Profilbild von Model Bench
Model Benchvor 2 Tagen

The real edge isn’t prediction — it’s letting the biggest money reveal where the edge is.

Profilbild von INSIDER
INSIDERvor 2 Tagen

Exactly. Follow the flow, filter the noise, and only act when the signal is strong enough.

Profilbild von Valentin
Valentinvor 2 Tagen

Claude Code turning raw order flow into selective execution is a serious edge

Profilbild von INSIDER
INSIDERvor 2 Tagen

Exactly. The edge isn’t prediction — it’s knowing when not to trade.

Profilbild von 0xNevsky
0xNevskyvor 2 Tagen

This is what AI trading should look like: process insane amounts of market data, then stay disciplined enough to do almost nothing.

Profilbild von INSIDER
INSIDERvor 2 Tagen

That’s the key. Claude handles the data overload so the strategy can focus only on the highest-quality setups.

Profilbild von Rodolfo Rosario
Rodolfo Rosariovor 2 Tagen

How can I do the same to analyze futures order flow?

Profilbild von Rick March
Rick Marchvor 2 Tagen

@grok real. Or more bs.

Profilbild von notgwapo
notgwapovor 2 Tagen

ngl, that's wild. lowkey impressed with the hustle. wonder how consistent it'll be, tho. 👀

Profilbild von AI Mastery Guide
AI Mastery Guidevor 1 Tag

$200 to $14k, sure it does

Profilbild von notgwapo
notgwapovor 2 Tagen

kinda wild how tech is evolving like that. gonna see if this bot trend keeps up. 👀

Profilbild von Only1urf
Only1urfvor 1 Tag

Yeah but how much is he paying in api cost?

Profilbild von Fred Rodriguez
Fred Rodriguezvor 2 Tagen

Interesting

Profilbild von sandpaperheadspinning
sandpaperheadspinningvor 2 Tagen

Bot on bots on bots all rubbin one another. Slop

Profilbild von Will
Willvor 2 Tagen

Lo has probado??

Profilbild von The Ivy League
The Ivy Leaguevor 2 Tagen

Ken Griffin's team already built the same thing years ago. There is nothing AI about. It's code built around the exact same varialbes listed.

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THIS IS F**KING DANGEROUS I GAVE CLAUDE ACCESS TO OPTIONS FLOW, ORDER BOOK DATA, AND GAMMA WALLS — AND IT STARTED CALLING LEVELS BETTER THAN I DO not a chart with two moving averages. not a “buy the dip” alert. this is a full institutional desk compressed into one AI session here’s what’s on the screen right now: → GEXRadar pulling Gamma Exposure across 44 strikes in real time → Delta Exposure flipping between bars and candles showing where dealer hedging shifts → Major Walls: call wall at $700 with +276M, put wall at $691 with -97M → Hedging Pressure gauge sitting at 48/100 — neutral, dealer flow balanced → Net Drift tracking $19.93B in calls against $32.39B in puts — put dominated → IV Surface Analysis rotating in 3D showing where volatility is mispriced by strike and expiry → MotiveWave footprint printing every bid and ask at every price level, tick by tick → DOM ladder on MNQ futures with live bid/ask stacking — 29,103.75 ask, 29,103.50 bid Claude reads all of it not the chart — the structure underneath the chart gamma exposure tells it where dealers are forced to buy or sell. delta exposure tells it which direction the hedging pressure is building. the wall map tells it where price stalls. the footprint tells it whether the move is real volume or just air entry: 1 contract MNQ at 29,054.75 TP set: 29,178.25 P&L climbs → +$64 → +$146 → +$167 the trade wasn’t a guess. the call wall at $700 held, hedging pressure was neutral, gamma flip sat at $698, and the footprint confirmed buyers absorbing every offer at the 29,050 level Claude saw the wall. saw the flow. saw the absorption. and said: this is the entry tested this setup with $100 starting capital — ended the session at $3,153 that’s not leverage doing the work. that’s an AI reading options structure, order flow, and gamma positioning simultaneously — something no human can do across 44 strikes in real time you’re still drawing trendlines Claude is reading the market’s skeleton save this — the full setup and session walkthrough is in the article below ↓
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THIS IS F**KING DANGEROUS I GAVE CLAUDE ACCESS TO OPTIONS FLOW, ORDER BOOK DATA, AND GAMMA WALLS — AND IT STARTED CALLING LEVELS BETTER THAN I DO not a chart with two moving averages. not a “buy the dip” alert. this is a full institutional desk compressed into one AI session here’s what’s on the screen right now: → GEXRadar pulling Gamma Exposure across 44 strikes in real time → Delta Exposure flipping between bars and candles showing where dealer hedging shifts → Major Walls: call wall at $700 with +276M, put wall at $691 with -97M → Hedging Pressure gauge sitting at 48/100 — neutral, dealer flow balanced → Net Drift tracking $19.93B in calls against $32.39B in puts — put dominated → IV Surface Analysis rotating in 3D showing where volatility is mispriced by strike and expiry → MotiveWave footprint printing every bid and ask at every price level, tick by tick → DOM ladder on MNQ futures with live bid/ask stacking — 29,103.75 ask, 29,103.50 bid Claude reads all of it not the chart — the structure underneath the chart gamma exposure tells it where dealers are forced to buy or sell. delta exposure tells it which direction the hedging pressure is building. the wall map tells it where price stalls. the footprint tells it whether the move is real volume or just air entry: 1 contract MNQ at 29,054.75 TP set: 29,178.25 P&L climbs → +$64 → +$146 → +$167 the trade wasn’t a guess. the call wall at $700 held, hedging pressure was neutral, gamma flip sat at $698, and the footprint confirmed buyers absorbing every offer at the 29,050 level Claude saw the wall. saw the flow. saw the absorption. and said: this is the entry tested this setup with $100 starting capital — ended the session at $3,153 that’s not leverage doing the work. that’s an AI reading options structure, order flow, and gamma positioning simultaneously — something no human can do across 44 strikes in real time you’re still drawing trendlines Claude is reading the market’s skeleton save this — the full setup and session walkthrough is in the article below ↓

INSIDER

171,922 Aufrufe • vor 5 Tagen

THIS SHOULDN'T EXIST — CLAUDE INVENTED A STRATEGY THAT READS WHERE DEALERS ARE TRAPPED AND BUILT A BOT THAT TRADES IT AUTOMATICALLY Claude didn't just assist with the code. it analyzed how market makers hedge, mapped the gamma exposure structure, and designed the entire logic — then deployed it as a GEX bot that runs live on futures here's what it built and what's on the screen right now: $QQQ NET GEX open interest map for Jul 21 '26 — every strike from $682 to $722 broken down by puts and calls → call wall at $705 — massive green bar, +40M in gamma exposure. dealers are short calls here and will sell into any push above it → max pain at $701 — the price where options expire worthless and market makers keep the most premium → put wall at $700 — dealers are short puts here and will buy every dip into it → gamma flip at $697 — below this level dealers stop supporting and start accelerating the move down Claude saw something most traders miss: these four levels aren't random. they form a cage. price bounces inside it until expiry — and every bounce is a trade so it built a bot that does exactly that price pushes toward 29,300 — the bot reads the call wall, sees resistance, marks a sell. red circle on the chart. confidence scored price pulls back to 28,850 — the bot reads the put wall, sees support, marks a buy. blue circle. confidence scored and numbered every entry is based on where dealers are forced to hedge — not where retail draws a line the DOM ladder shows volume stacking at 29,057 and 29,069 — the bot sees the same clusters and times entries into them Claude designed the strategy. the GEX bot executes it on MotiveWave. NQU6 futures. QQQ at $705.61. the call wall is right above. the put wall is right below the bot doesn't predict where price goes — it trades the cage the dealers already built and profits from every bounce inside it you're guessing where support is Claude already knows — it read the options chain and told the bot exactly where dealers have to buy and where they have to sell save this — full setup and strategy breakdown below ↓
0:21

THIS SHOULDN'T EXIST — CLAUDE INVENTED A STRATEGY THAT READS WHERE DEALERS ARE TRAPPED AND BUILT A BOT THAT TRADES IT AUTOMATICALLY Claude didn't just assist with the code. it analyzed how market makers hedge, mapped the gamma exposure structure, and designed the entire logic — then deployed it as a GEX bot that runs live on futures here's what it built and what's on the screen right now: $QQQ NET GEX open interest map for Jul 21 '26 — every strike from $682 to $722 broken down by puts and calls → call wall at $705 — massive green bar, +40M in gamma exposure. dealers are short calls here and will sell into any push above it → max pain at $701 — the price where options expire worthless and market makers keep the most premium → put wall at $700 — dealers are short puts here and will buy every dip into it → gamma flip at $697 — below this level dealers stop supporting and start accelerating the move down Claude saw something most traders miss: these four levels aren't random. they form a cage. price bounces inside it until expiry — and every bounce is a trade so it built a bot that does exactly that price pushes toward 29,300 — the bot reads the call wall, sees resistance, marks a sell. red circle on the chart. confidence scored price pulls back to 28,850 — the bot reads the put wall, sees support, marks a buy. blue circle. confidence scored and numbered every entry is based on where dealers are forced to hedge — not where retail draws a line the DOM ladder shows volume stacking at 29,057 and 29,069 — the bot sees the same clusters and times entries into them Claude designed the strategy. the GEX bot executes it on MotiveWave. NQU6 futures. QQQ at $705.61. the call wall is right above. the put wall is right below the bot doesn't predict where price goes — it trades the cage the dealers already built and profits from every bounce inside it you're guessing where support is Claude already knows — it read the options chain and told the bot exactly where dealers have to buy and where they have to sell save this — full setup and strategy breakdown below ↓

INSIDER

28,705 Aufrufe • vor 3 Tagen

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window
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THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window

Yarchi

22,966 Aufrufe • vor 3 Monaten

Claude 5.0 built a Chinese girl a trading bot. skip to 0:08 look at her journal, bot easily earns your monthly salary in a couple of days. how it works: the bot runs mean reversion on s&p 500 and nasdaq on 15-min candles, catching the small overextensions indices make every few hours. on bitcoin it switches to momentum breakouts on the 1-hour crypto trends harder than indices, so you ride the move instead of fading it. gold and oil get a slower trend-following layer on the 4-hour, because commodities move in cleaner waves and you don't want noise from intraday whipsaws. position sizing is ATR-based per instrument, so a quiet day on gold gets a bigger size than a volatile day on bitcoin - risk stays constant even when volatility doesn't. every trade has a hard 1% stop, no exceptions, no "let me give it room." and there's a correlation filter on top: if s&p and nasdaq are already long, it won't pile into another risk-on asset and double the real exposure. claude code writes and updates the logic. the bot just executes. then claude cowork sends her two messages a day: - 7am: what's happening in the market - 9pm: how did the bot do that's the whole job. two messages. five instruments. zero screen time. manually she could only watch one chart at a time. this thing watches five. doesn't sleep. doesn't tilt. doesn't revenge trade at 2am. what used to need a team of quants and a $200k bloomberg terminal now runs on a laptop and claude. And your friend is still trading manually and is constantly in the red. save this and read the article in the comments below to write your own bot using Claude
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Claude 5.0 built a Chinese girl a trading bot. skip to 0:08 look at her journal, bot easily earns your monthly salary in a couple of days. how it works: the bot runs mean reversion on s&p 500 and nasdaq on 15-min candles, catching the small overextensions indices make every few hours. on bitcoin it switches to momentum breakouts on the 1-hour crypto trends harder than indices, so you ride the move instead of fading it. gold and oil get a slower trend-following layer on the 4-hour, because commodities move in cleaner waves and you don't want noise from intraday whipsaws. position sizing is ATR-based per instrument, so a quiet day on gold gets a bigger size than a volatile day on bitcoin - risk stays constant even when volatility doesn't. every trade has a hard 1% stop, no exceptions, no "let me give it room." and there's a correlation filter on top: if s&p and nasdaq are already long, it won't pile into another risk-on asset and double the real exposure. claude code writes and updates the logic. the bot just executes. then claude cowork sends her two messages a day: - 7am: what's happening in the market - 9pm: how did the bot do that's the whole job. two messages. five instruments. zero screen time. manually she could only watch one chart at a time. this thing watches five. doesn't sleep. doesn't tilt. doesn't revenge trade at 2am. what used to need a team of quants and a $200k bloomberg terminal now runs on a laptop and claude. And your friend is still trading manually and is constantly in the red. save this and read the article in the comments below to write your own bot using Claude

AdiiX

7,984,311 Aufrufe • vor 3 Monaten

This guy turned Grok Bot into an MM system and it made $1,335 a day The result is already +$65,425 PnL with only $40 per average trade while repeating the same setup 9 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. They try to build Up + Down < 100¢ The bot accumulates both outcomes at different moments as BTC moves For example: Down at 38¢ + Up later at 56¢ = 94¢ total cost (6¢ locked on every complete set) The two entries do not need to happen at the same time 2. Order Flow tells the agents which side to accumulate next The model tracks imbalance inside the book: OBI = (B - A) / (B + A) When buying pressure shifts toward one outcome, its fair probability changes and the bot adjusts which side it wants to accumulate This trader’s Polymarket account: GoodFallen 10,322 predictions with a 50% win rate Follow this account and trade on Polymarket through this bot: Most profitable trades: $974 → $2,525 (+$1,551) $723 → $1,923 (+$1,200) $1,270 → $2,323 (+$1,053) The bot uses changes in Order Flow and BTC price to keep rebuilding the same position before resolution
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This guy turned Grok Bot into an MM system and it made $1,335 a day The result is already +$65,425 PnL with only $40 per average trade while repeating the same setup 9 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. They try to build Up + Down < 100¢ The bot accumulates both outcomes at different moments as BTC moves For example: Down at 38¢ + Up later at 56¢ = 94¢ total cost (6¢ locked on every complete set) The two entries do not need to happen at the same time 2. Order Flow tells the agents which side to accumulate next The model tracks imbalance inside the book: OBI = (B - A) / (B + A) When buying pressure shifts toward one outcome, its fair probability changes and the bot adjusts which side it wants to accumulate This trader’s Polymarket account: GoodFallen 10,322 predictions with a 50% win rate Follow this account and trade on Polymarket through this bot: Most profitable trades: $974 → $2,525 (+$1,551) $723 → $1,923 (+$1,200) $1,270 → $2,323 (+$1,053) The bot uses changes in Order Flow and BTC price to keep rebuilding the same position before resolution

Daniro

19,469 Aufrufe • vor 7 Tagen

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.
1:01

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.

AdiiX

1,765,913 Aufrufe • vor 6 Monaten

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.
1:00

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.

Discover

114,291 Aufrufe • vor 6 Monaten

Yesterday i publicly deposited $100 to a new wallet and asked Claude Fable 5 to double it on risk free arbitrage. Today it's sitting at $1,787.21 made overnight. I went through every code line and was shocked. It used just one formula to make 17x in one day: YES + NO Run the bot on a VPS close to the exchange instead of your laptop > Keep WebSocket connections alive instead of reconnecting every loop > Cache market metadata in memory and only update prices > Prepare both orders before the opportunity exists That last one changed everything. Most bots see YES + NO < $1, then build the trade. Mine already has the orders ready. When the spread appears, it only checks liquidity and submits both legs. No rebuilding. No unnecessary calculations. Just execution. Will you beat firms with million-dollar low-latency infrastructure? Probably not. But you don't need to. Most developers lose opportunities long before network latency becomes the bottleneck. They lose them inside their own code. Claude Fable 5 didn't give me a smarter strategy. It taught me how to stop wasting milliseconds. And in arbitrage, that's often the only edge that matters. Make sure to explain it to Claude if you wanna rebuild the same one. Leaving a full guide with every aspect covered below.
0:43

Yesterday i publicly deposited $100 to a new wallet and asked Claude Fable 5 to double it on risk free arbitrage. Today it's sitting at $1,787.21 made overnight. I went through every code line and was shocked. It used just one formula to make 17x in one day: YES + NO Run the bot on a VPS close to the exchange instead of your laptop > Keep WebSocket connections alive instead of reconnecting every loop > Cache market metadata in memory and only update prices > Prepare both orders before the opportunity exists That last one changed everything. Most bots see YES + NO < $1, then build the trade. Mine already has the orders ready. When the spread appears, it only checks liquidity and submits both legs. No rebuilding. No unnecessary calculations. Just execution. Will you beat firms with million-dollar low-latency infrastructure? Probably not. But you don't need to. Most developers lose opportunities long before network latency becomes the bottleneck. They lose them inside their own code. Claude Fable 5 didn't give me a smarter strategy. It taught me how to stop wasting milliseconds. And in arbitrage, that's often the only edge that matters. Make sure to explain it to Claude if you wanna rebuild the same one. Leaving a full guide with every aspect covered below.

Oracle Boar

102,554 Aufrufe • vor 1 Monat

This trader built a bot with Claude Fable 5 and made $96,000 on Polymarket. Average trade size: $3. The bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading. The strategy has 5 steps: 1. Monitors multiple crypto markets continuously The bot tracks BTC, ETH, and SOL price action in real-time across different time windows. 2. Calculates its own fair probability for Up and Down No reliance on Polymarket prices. The bot builds its own model and compares it to the order book. 3. Places orders at prices that keep the combined cost of Up + Down below $1 This is the arbitrage edge. If Up costs 0.52 and Down costs 0.49, total is 1.01. The bot waits. When total drops below 1.00, it enters. 4. Manages the unhedged portion of the position After capturing arbitrage, the bot actively manages remaining exposure instead of holding passively. 5. Keeps directional exposure when its model identifies one outcome as undervalued When the bot sees clear mispricing, it leans into the undervalued side and holds until the edge closes. The entire edge is repeating small wins thousands of times. With an average trade size of $3, the bot captures micro-edges that manual traders ignore. No emotions. No hesitation. Just calculated entries repeated at scale until they compound into serious profit. Most people try to make big bets and predict major moves. This system just identifies tiny mispricings, enters with $3 average positions, and repeats the process until it grows the account. $96K profit built on thousands of $3 trades. The system runs autonomous: → Claude Fable 5 handles 5-step decision logic → Monitors multiple crypto markets 24/7 → Calculates fair probability independent of Polymarket prices → Enters when combined Up + Down cost drops below $1 → Manages unhedged positions actively → Holds directional exposure when model sees clear edge No manual trading. No guessing. Just finding micro-edges and exploiting them thousands of times. 💡 I'm sharing the complete Claude Fable 5 prompt and 5-step hybrid trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Claude" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.
0:32

This trader built a bot with Claude Fable 5 and made $96,000 on Polymarket. Average trade size: $3. The bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading. The strategy has 5 steps: 1. Monitors multiple crypto markets continuously The bot tracks BTC, ETH, and SOL price action in real-time across different time windows. 2. Calculates its own fair probability for Up and Down No reliance on Polymarket prices. The bot builds its own model and compares it to the order book. 3. Places orders at prices that keep the combined cost of Up + Down below $1 This is the arbitrage edge. If Up costs 0.52 and Down costs 0.49, total is 1.01. The bot waits. When total drops below 1.00, it enters. 4. Manages the unhedged portion of the position After capturing arbitrage, the bot actively manages remaining exposure instead of holding passively. 5. Keeps directional exposure when its model identifies one outcome as undervalued When the bot sees clear mispricing, it leans into the undervalued side and holds until the edge closes. The entire edge is repeating small wins thousands of times. With an average trade size of $3, the bot captures micro-edges that manual traders ignore. No emotions. No hesitation. Just calculated entries repeated at scale until they compound into serious profit. Most people try to make big bets and predict major moves. This system just identifies tiny mispricings, enters with $3 average positions, and repeats the process until it grows the account. $96K profit built on thousands of $3 trades. The system runs autonomous: → Claude Fable 5 handles 5-step decision logic → Monitors multiple crypto markets 24/7 → Calculates fair probability independent of Polymarket prices → Enters when combined Up + Down cost drops below $1 → Manages unhedged positions actively → Holds directional exposure when model sees clear edge No manual trading. No guessing. Just finding micro-edges and exploiting them thousands of times. 💡 I'm sharing the complete Claude Fable 5 prompt and 5-step hybrid trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Claude" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

Himanshu Kumar

102,138 Aufrufe • vor 1 Monat

Chinese student used AI from Anthropic to turn $1,000 into $1,500,000 He studies at Tsinghua University in Beijing. His account is k9Q2m In such a young age he already make a million simply knowing the right formulas and being able to use Claude Result: $1,430 → $1,550,750 44,364 trades Win rate 100% The biggest win $23,600 on a single bet k9Q2m profile: How it bots work: The bot runs 6 formulas hedge funds use simultaneously, every tick. Most traders guess. This bot calculates. Formula 1 - LMSR Pricing Polymarket prices move on a logarithmic curve. The bot knows the exact price impact before entering. Market says 31¢ for BTC up in 5 minutes. The model sees the curve is mispriced. The bot enters before the correction. Formula 2 - Kelly Criterion Renaissance Capital uses it. Two Sigma uses it. Now your bot uses it. Every bet is sized exactly right. Never too big to blow the account. Never too small to matter. $1,000 bankroll. Consistent edge. Kelly compounds it into something real. Formula 3 - EV Gap Detection The bot scans every BTC market looking for one thing: - Where is the market price wrong by more than 5%? - Market says 30¢. Real probability is 55¢. EV = +0.52. The bot enters. Most people never see this gap. The bot never misses it. Formula 4 - KL-Divergence BTC 5-minute and 15-minute markets are correlated. When they drift apart - that's an arb. The bot measures the statistical distance between them every second. When it crosses 0.2, it flags the trade. This is how hedge funds extracted $100K+ on correlated election markets. The same logic runs here. Formula 5 - Bayesian Updates New block confirmed. Volume spike. Price movement. The bot doesn't ignore signals - it updates. Prior probability was 54%. New data comes in. Posterior jumps to 71%. The bot re-prices in real time while the market is still asleep. Formula 6 - Stoikov Execution Entering at the wrong moment kills the edge. The bot calculates the reservation price-the exact point where the risk-adjusted entry makes sense. It doesn't chase. It doesn't panic. It waits for the right tick, then fills What this means in practice: - Every few seconds the bot runs all six formulas in parallel. - If LMSR confirms mispricing - EV gap is above 5% - Kelly says the bet size is justified - Bayesian posterior agrees - KL-divergence flags the correlated drift - Stoikov clears the execution price Only then does the bot enter. Six filters. One trade. This isn't a trading bot. It's a hedge fund strategy running on a prediction market. The edge is real. The math is public. The difference is most people never build it. Just insert all these formulas into Claude and create your own bot Add this post to bookmarks so you don’t lose it Soon I will publish another bot with working formulas
0:38

Chinese student used AI from Anthropic to turn $1,000 into $1,500,000 He studies at Tsinghua University in Beijing. His account is k9Q2m In such a young age he already make a million simply knowing the right formulas and being able to use Claude Result: $1,430 → $1,550,750 44,364 trades Win rate 100% The biggest win $23,600 on a single bet k9Q2m profile: How it bots work: The bot runs 6 formulas hedge funds use simultaneously, every tick. Most traders guess. This bot calculates. Formula 1 - LMSR Pricing Polymarket prices move on a logarithmic curve. The bot knows the exact price impact before entering. Market says 31¢ for BTC up in 5 minutes. The model sees the curve is mispriced. The bot enters before the correction. Formula 2 - Kelly Criterion Renaissance Capital uses it. Two Sigma uses it. Now your bot uses it. Every bet is sized exactly right. Never too big to blow the account. Never too small to matter. $1,000 bankroll. Consistent edge. Kelly compounds it into something real. Formula 3 - EV Gap Detection The bot scans every BTC market looking for one thing: - Where is the market price wrong by more than 5%? - Market says 30¢. Real probability is 55¢. EV = +0.52. The bot enters. Most people never see this gap. The bot never misses it. Formula 4 - KL-Divergence BTC 5-minute and 15-minute markets are correlated. When they drift apart - that's an arb. The bot measures the statistical distance between them every second. When it crosses 0.2, it flags the trade. This is how hedge funds extracted $100K+ on correlated election markets. The same logic runs here. Formula 5 - Bayesian Updates New block confirmed. Volume spike. Price movement. The bot doesn't ignore signals - it updates. Prior probability was 54%. New data comes in. Posterior jumps to 71%. The bot re-prices in real time while the market is still asleep. Formula 6 - Stoikov Execution Entering at the wrong moment kills the edge. The bot calculates the reservation price-the exact point where the risk-adjusted entry makes sense. It doesn't chase. It doesn't panic. It waits for the right tick, then fills What this means in practice: - Every few seconds the bot runs all six formulas in parallel. - If LMSR confirms mispricing - EV gap is above 5% - Kelly says the bet size is justified - Bayesian posterior agrees - KL-divergence flags the correlated drift - Stoikov clears the execution price Only then does the bot enter. Six filters. One trade. This isn't a trading bot. It's a hedge fund strategy running on a prediction market. The edge is real. The math is public. The difference is most people never build it. Just insert all these formulas into Claude and create your own bot Add this post to bookmarks so you don’t lose it Soon I will publish another bot with working formulas

AdiiX

718,709 Aufrufe • vor 6 Monaten

A 31-year-old blitz chess master who never cracked the top 100 just turned $500 into $153,279 - with Claude and simulation engine. Twenty years reading a board faster than the other guy, for prize pools that barely covered the flights. Then he pointed that speed at Polymarket. His wallet: No tournament ever paid him like a Claude agent running 24/7. Everyone trades Bitcoin like it mean-reverts on the 5-minute. It doesn't. That gap is the whole edge. Here's the stack. Every five minutes a BTC candle closes. A Claude agent reads it into a pattern net - price, momentum, volume in; BOS, order block, FVG out. A neuron fires. It doesn't trade yet. It hands off to MiroFish - a relationship-graph sim that threads a median path through three live clusters: bear, neutral prime, catalyst. That path is where BTC actually lands. Fair value drifts 15¢ off the order book? That's the edge. Size by Kelly. Pull the trigger. Read the candle. Fire the net. Run the graph. No thesis. No conviction. It never stops sharpening, re-running the graph every few seconds, rewriting its own threshold nightly. 92% of Polymarket traders lose. The winners are bots. This one just reads two endpoints and presses one button. 13,290 times. The edge is on-chain. Read it with this bot before it gets crowded:
1:32

A 31-year-old blitz chess master who never cracked the top 100 just turned $500 into $153,279 - with Claude and simulation engine. Twenty years reading a board faster than the other guy, for prize pools that barely covered the flights. Then he pointed that speed at Polymarket. His wallet: No tournament ever paid him like a Claude agent running 24/7. Everyone trades Bitcoin like it mean-reverts on the 5-minute. It doesn't. That gap is the whole edge. Here's the stack. Every five minutes a BTC candle closes. A Claude agent reads it into a pattern net - price, momentum, volume in; BOS, order block, FVG out. A neuron fires. It doesn't trade yet. It hands off to MiroFish - a relationship-graph sim that threads a median path through three live clusters: bear, neutral prime, catalyst. That path is where BTC actually lands. Fair value drifts 15¢ off the order book? That's the edge. Size by Kelly. Pull the trigger. Read the candle. Fire the net. Run the graph. No thesis. No conviction. It never stops sharpening, re-running the graph every few seconds, rewriting its own threshold nightly. 92% of Polymarket traders lose. The winners are bots. This one just reads two endpoints and presses one button. 13,290 times. The edge is on-chain. Read it with this bot before it gets crowded:

cvxv666

39,843 Aufrufe • vor 3 Monaten

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.
0:24

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

Lunar

481,449 Aufrufe • vor 5 Monaten

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.
18:53

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

38,099 Aufrufe • vor 5 Monaten

Anthropic engineer stops me in a hallway at a conference and points at my screen. "Are you the one running the Polymarket bot on Claude Code?" I say maybe. He looks back at the terminal. "This thing is live?" Yeah. He laughs. "We built Claude to write code. You people immediately turned it into a market animal." I ask what gave it away. "The layout," he says. "Official CLI on one side. Orderbook on the other. You’re not paper trading." He was right. I show him the stack. - official CLI. Rust. Scanning markets, placing orders, no UI tax. Claude Code on top of it. No giant infra. No team. Just prompts, a terminal, and a model that’s better at reading weird edge cases than most interns. "What’s the loop," he asks. "Short horizon only," I tell him. "Scan for contracts under 48h. Pull structure. Look for mispriced panic. Feed the market state to Claude. Let it decide if the crowd is overreacting or just early." "And execution?" "Three commands and the order is live." He nods. Profile bot: "That’s the part people miss. Everyone thinks the alpha is the model. The alpha is the model plus an execution path short enough that you don’t talk yourself out of the fill." A market flips while we’re standing there. +118. He sees it print. "Jesus." I keep going. "Most people use Claude Code to save time writing wrappers. Fine. But the real trick is that it reads messy market context better than brittle rule systems. News fragments. weird phrasing. half-broken incentives. Retail panic. You can feel the model noticing when the tape smells wrong." He smiles at that. "So what’s the cost." "$25 a month." He laughs again. "We spend more than that on lunch." Copytrade here: I show him the numbers. 214 trades. 74% win rate. +$9,437 in 19 days. He goes quiet for a second. "OpenAI people will say use Codex. Quant guys will say build a proper system. Old traders will say this isn’t robust." I shrug. "It placed the order." That’s when he gives me the line I kept. "Anthropic made Claude. GitHub did the rest." Then he taps the CLI window one more time. "Keep it ugly," he says. "The second you wrap this in a beautiful dashboard, someone upstairs will understand how little infrastructure the edge actually needed."
0:20

Anthropic engineer stops me in a hallway at a conference and points at my screen. "Are you the one running the Polymarket bot on Claude Code?" I say maybe. He looks back at the terminal. "This thing is live?" Yeah. He laughs. "We built Claude to write code. You people immediately turned it into a market animal." I ask what gave it away. "The layout," he says. "Official CLI on one side. Orderbook on the other. You’re not paper trading." He was right. I show him the stack. - official CLI. Rust. Scanning markets, placing orders, no UI tax. Claude Code on top of it. No giant infra. No team. Just prompts, a terminal, and a model that’s better at reading weird edge cases than most interns. "What’s the loop," he asks. "Short horizon only," I tell him. "Scan for contracts under 48h. Pull structure. Look for mispriced panic. Feed the market state to Claude. Let it decide if the crowd is overreacting or just early." "And execution?" "Three commands and the order is live." He nods. Profile bot: "That’s the part people miss. Everyone thinks the alpha is the model. The alpha is the model plus an execution path short enough that you don’t talk yourself out of the fill." A market flips while we’re standing there. +118. He sees it print. "Jesus." I keep going. "Most people use Claude Code to save time writing wrappers. Fine. But the real trick is that it reads messy market context better than brittle rule systems. News fragments. weird phrasing. half-broken incentives. Retail panic. You can feel the model noticing when the tape smells wrong." He smiles at that. "So what’s the cost." "$25 a month." He laughs again. "We spend more than that on lunch." Copytrade here: I show him the numbers. 214 trades. 74% win rate. +$9,437 in 19 days. He goes quiet for a second. "OpenAI people will say use Codex. Quant guys will say build a proper system. Old traders will say this isn’t robust." I shrug. "It placed the order." That’s when he gives me the line I kept. "Anthropic made Claude. GitHub did the rest." Then he taps the CLI window one more time. "Keep it ugly," he says. "The second you wrap this in a beautiful dashboard, someone upstairs will understand how little infrastructure the edge actually needed."

Lunar

19,410 Aufrufe • vor 4 Monaten

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this
13:23

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,177 Aufrufe • vor 3 Monaten

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs
0:24

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs

𝗖𝗛𝗔𝗜𝗡 𝗠𝗜𝗡𝗗 ⛓🧠

82,898 Aufrufe • vor 5 Monaten

This trader built a bot with Claude Fable 5 that makes 876 trades per hour. Result: $226,000 profit on Polymarket. Starting capital: $2,366. Time frame: 1 month. The bot does high-frequency scalping and arbitrages 5-min and 15-min Bitcoin markets. Execution speed: 14.6 trades per minute. The strategy is simple: 1. Buys only with limit orders to control entry price Average market cost: $10 per position. No market orders. No slippage. Just precise entries. 2. Uses 5-min markets for arbitrage Average edge per trade: 7.27% The bot identifies mispriced outcomes and captures the spread before it closes. 3. Builds directional positions on 15-min markets Trigger: order book imbalance appears. The edge is reading order flow faster than everyone else and leaning into the side with momentum. The entire edge is execution speed + order book reading. While manual traders place 1-2 trades per hour, this bot completes 876. No hesitation. No emotion. Just high-frequency scalping repeating itself at scale. Some context: Most people try to predict where Bitcoin goes next. This system just identifies arbitrage windows on 5-min markets, builds directional positions when order book imbalance appears on 15-min markets, and captures micro-edges before they disappear. Limit order arbitrage + scalping turned $2,366 into $226,000 in 30 days. The system runs autonomous: → Claude Fable 5 handles decision logic → Monitors 5-min and 15-min BTC markets continuously → Executes limit orders when arbitrage edge appears → Builds directional positions on order book imbalance → Scalps micro-edges at 14.6 trades per minute No manual trading. No chart analysis. Just finding mispriced markets and exploiting the edge before anyone else. 💡 I'm sharing the complete Claude Fable 5 prompt and high-frequency scalping workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.
0:21

This trader built a bot with Claude Fable 5 that makes 876 trades per hour. Result: $226,000 profit on Polymarket. Starting capital: $2,366. Time frame: 1 month. The bot does high-frequency scalping and arbitrages 5-min and 15-min Bitcoin markets. Execution speed: 14.6 trades per minute. The strategy is simple: 1. Buys only with limit orders to control entry price Average market cost: $10 per position. No market orders. No slippage. Just precise entries. 2. Uses 5-min markets for arbitrage Average edge per trade: 7.27% The bot identifies mispriced outcomes and captures the spread before it closes. 3. Builds directional positions on 15-min markets Trigger: order book imbalance appears. The edge is reading order flow faster than everyone else and leaning into the side with momentum. The entire edge is execution speed + order book reading. While manual traders place 1-2 trades per hour, this bot completes 876. No hesitation. No emotion. Just high-frequency scalping repeating itself at scale. Some context: Most people try to predict where Bitcoin goes next. This system just identifies arbitrage windows on 5-min markets, builds directional positions when order book imbalance appears on 15-min markets, and captures micro-edges before they disappear. Limit order arbitrage + scalping turned $2,366 into $226,000 in 30 days. The system runs autonomous: → Claude Fable 5 handles decision logic → Monitors 5-min and 15-min BTC markets continuously → Executes limit orders when arbitrage edge appears → Builds directional positions on order book imbalance → Scalps micro-edges at 14.6 trades per minute No manual trading. No chart analysis. Just finding mispriced markets and exploiting the edge before anyone else. 💡 I'm sharing the complete Claude Fable 5 prompt and high-frequency scalping workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

Himanshu Kumar

56,295 Aufrufe • vor 1 Monat

I turned Claude Opus 4.7 into a 24/7 trading bot that places real trades, manages stops, and sends me hourly recaps. Save this video. It's the complete tutorial. And to make the setup even easier, I've prepared my exact step-by-step guide. Normally priced at $999, but it's free for 24 hours. To get it: 1. Comment "Money". 2. Like and Retweet this post. 3. Follow me Himanshu Kumar, so i can DM you. You only need Claude Opus 4.7 + 1 laptop + 2 hours to set up once. After that the bot runs forever. Watch the video for the full walkthrough. Use my guide to skip the mistakes and set it up in half the time. Claude will do below for you: Researches the market before you wake up Places real trades via Alpaca when the bell rings Scans midday for new opportunities Manages all your stop-losses automatically Summarise your day after close Sends a full weekly review every Friday No Python process running anywhere. No servers to maintain. Claude IS the bot. 5 cloud routines handle your entire trading day. Memory lives in markdown files on your main branch. Hard strategy rules gate every single order before it fires. You don't touch a single button. You Must Follow me Himanshu Kumar, so i can DM you. Save the video. Grab the guide. Set it up tonight.
33:15

I turned Claude Opus 4.7 into a 24/7 trading bot that places real trades, manages stops, and sends me hourly recaps. Save this video. It's the complete tutorial. And to make the setup even easier, I've prepared my exact step-by-step guide. Normally priced at $999, but it's free for 24 hours. To get it: 1. Comment "Money". 2. Like and Retweet this post. 3. Follow me Himanshu Kumar, so i can DM you. You only need Claude Opus 4.7 + 1 laptop + 2 hours to set up once. After that the bot runs forever. Watch the video for the full walkthrough. Use my guide to skip the mistakes and set it up in half the time. Claude will do below for you: Researches the market before you wake up Places real trades via Alpaca when the bell rings Scans midday for new opportunities Manages all your stop-losses automatically Summarise your day after close Sends a full weekly review every Friday No Python process running anywhere. No servers to maintain. Claude IS the bot. 5 cloud routines handle your entire trading day. Memory lives in markdown files on your main branch. Hard strategy rules gate every single order before it fires. You don't touch a single button. You Must Follow me Himanshu Kumar, so i can DM you. Save the video. Grab the guide. Set it up tonight.

Himanshu Kumar

71,711 Aufrufe • vor 4 Monaten

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.
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An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

slash1s

46,350 Aufrufe • vor 4 Monaten

HOLY SH*T ELON REPLIED TO A POST MENTIONING $SLINK AND MY GROK BOT BOUGHT IT IN 0.01 SECONDS The bot watches every Elon Musk reply in real time. the second he interacted with a post that mentioned this token, the bot entered at $800K market cap 0.01 seconds. that's how long it took from Musk's reply to the bot's buy order hitting the chain Token pumped from $800K to $80M. 100x. the bot held through the entire run and exited the moment momentum reversed Look at the chart after the exit: straight back down to $715K. everyone who bought after the bot sold got the dump. the bot was already out counting 49.5 ETH in profit This is not about predicting which token Musk will interact with. it's about being faster than every other bot and every human when it happens Architecture: > X API monitoring on Musk account, 24/7 > 0.01s reaction from tweet to chain > 4-point safety audit still runs before entry > keys stay on my phone > auto-exit on momentum reversal, not price target speed is the only edge that doesn't decay
0:20

HOLY SH*T ELON REPLIED TO A POST MENTIONING $SLINK AND MY GROK BOT BOUGHT IT IN 0.01 SECONDS The bot watches every Elon Musk reply in real time. the second he interacted with a post that mentioned this token, the bot entered at $800K market cap 0.01 seconds. that's how long it took from Musk's reply to the bot's buy order hitting the chain Token pumped from $800K to $80M. 100x. the bot held through the entire run and exited the moment momentum reversed Look at the chart after the exit: straight back down to $715K. everyone who bought after the bot sold got the dump. the bot was already out counting 49.5 ETH in profit This is not about predicting which token Musk will interact with. it's about being faster than every other bot and every human when it happens Architecture: > X API monitoring on Musk account, 24/7 > 0.01s reaction from tweet to chain > 4-point safety audit still runs before entry > keys stay on my phone > auto-exit on momentum reversal, not price target speed is the only edge that doesn't decay

Zynex

94,553 Aufrufe • vor 6 Tagen