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codewithimanshu

Himanshu Kumar

Verifiedactive
@codewithimanshu

I help you make Money with AI, Claude, No Code, Tech, web3, Crypto | Open To Collaborations :- abrojackhimanshu@gmail.com | Ai Engineer |

RosterTrading & MarketsTech Career & Coding EducationAI Agents & Productivity Tools
69,561 followers · 356 following · Last polled 2h ago
Perf. Score
67.8
Rank #92
Value Score
87.7
#30 of 268 priced
Median views
5.9K
p25 3.3K · trailing 7d
Followers
70K
+0.0% 7d
ER (impr.)
2.88%
eng ÷ impressions
ER (foll.)
0.20%
eng ÷ followers
Est. CPM
$3.39
QT-rate basis
WoW views
-76.0%
▼ falling

Rates & value · est. from 5.9K median organic views

underpriced
Quote tweetbasis
$20
$3.39 / 1K views
Post
$30
$5.09 / 1K views
Thread
$60
$10.18 / 1K views
Retweet
$10
no CPM
Value Score 87.7 · rank #30 of 268 priced$138.89 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (5.9K), not the mean (4.9K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (3.3K) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
My girlfriend asked why I was smiling at my phone at 3AM. I lost my job last week. Rent due in 4 days. No backup plan. Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores. The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin. Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths. Trade only fires when 28 out of 31 models agree. Below 26 votes? Trade dies instantly. The agent moves faster than any human trading desk: → Collects market data 24/7 without breaks → Runs continuous simulations inside MiroFish engine → Operates fully autonomous with zero manual input → Every trade executes only when consensus hits threshold → Every dollar captured is pure market inefficiency exploit That is the entire edge. Not prediction. Consensus. Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days. He spent years learning that certainty is a scam and consensus is the only edge that matters. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word Claude 2. Like and retweet this 3. Follow me @codewithimanshu so I can DM you Save this post. Build the consensus system this week. Start with $200. Scale on evidence.frozen14d ago115K725331457
3
876
2.08%
A 19-year-old Japanese student built a trading bot with JEV & Claude in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. Here's how it works: The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? 💡 I'm giving away the exact Claude Code setup for free. 24 hours only. To get it: 1️⃣ Comment "JEV" 2️⃣ Like and Repost 3️⃣ Follow @codewithimanshu I'll DM you the complete setup.frozen11d ago105K69529248873981.79%
This Claude 5.5 Opus bot on Polymarket made $78,083 in 5 days. Nobody built it to be smart. They built it to be fast. $7 to $3,595 $30 to $11,063 $142 to $13,356 $1,205 to $37,939 I found this wallet three days ago. Spent 48 hours reverse engineering every trade. Same markets. Same logic. Over and over. Watch BTC price. Compare to Polymarket odds. Enter when they don't match. Exit when they do. While you were analyzing charts, this bot was already in and out. While you were deciding, it was compounding. While you were sleeping, it was printing. Most traders try to be right. This bot just tries to be faster. $78,000 in 5 days. Just Claude 5.5 Opus. Running a loop. I don't know who built this. But I know how they did it. 🎁 GIVEAWAY I'm giving away the complete guide on how this bot works. GET it: → Comment "Code" below (MUST) → Like & Retweet → Follow me @codewithimanshu [To get DM Fast] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.frozen12d ago27K10663901751.25%
I put in $250. The bot turned it into +$13,000. And I didn’t even build the thing from scratch. I found an open-source project on GitHub, opened it in Claude Code, spent a couple of hours cleaning it up, understanding the logic, and making a few tweaks. Then I hit Run. Honestly, I expected it to blow the account in an hour. So I minimized the terminal and went about my day. That night, I checked back. $250 → $600. That’s when I started paying attention. The strategy is surprisingly simple: It trades 5-minute BTC marketsand waits until roughly the final 2 minutes. By then, BTC has usually already made most of its move. The bot looks for: → BTC moving roughly $70–$100 → A clear directional trend → Contracts priced around $0.80–$0.99 → Entries only in the direction of the move → Small hedges when the market becomes extremely imbalanced If the direction holds until settlement, the contract pays $1. The idea is basically: Don’t predict the move. Wait until the market has already revealed most of it. Then trade the final stretch. The code is public and available on GitHub: [5-Min BTC Polymarket Bot](https://t.co/a4olIkytaR) Free to inspect. Just remember: past performance claims aren't proof the strategy will work going forward, and automated trading can lose money quickly. The bot was built from the tutorial below. If you want to understand how it works, read this before running anything. 👇frozen22d ago24K188473433062.42%
Jacob Coxon's next interview on CBS News (ex Anthropic + OpenAI researcher who resigned). “We can't just unplug it because it could be copying itself over to other computers.” The explanation gets even more unsettling: An AI is just code. It could potentially transfer itself over the internet to another computer. You unplug it here, but it could still be running somewhere else. And maybe it makes 10,000 copies of itself, with all of them cooperating. No theory. No sci-fi movie. Just a former Anthropic + OpenAI researcher explaining a potential AI risk in a CBS News interview. The bigger question: What if shutting down one AI system doesn't actually mean shutting it down? From the CBS News YouTube channel. Full video link in the comments. If this was interesting, follow @codewithimanshu for more AI and tech content.frozen26d ago23K6017211190.50%
My Dad caught me smiling at my laptop at 2AM. She thought I was texting some girl. I couldn't sleep after seeing what a 19-year-old Japanese student just did. He built a trading bot with JEV & Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. Here's how it works: The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? 💡 I'm giving away the exact Claude Code setup for free. 24 hours only. To get it: 1️⃣ Comment "JEV" 2️⃣ Like and Repost 3️⃣ Follow @codewithimanshu I'll DM you the complete setup.frozen11d ago20K6334701351.01%
This trader used Claude 5.5 Opus to build a Quant Bot and made +$115,615 on Polymarket. Since Apr 2, this wallet has been bringing in about $1,501 per day and running at a little over 22 trades per hour. 41,972 predictions with a 39% win rate in 80 days. This trader started with $219.7K in deposits and is now sitting at roughly +52.6% ROI. The bot strategy is simple: It hunts for short crypto markets where pricing is still out of line. Gets in before the move is fully reflected in the odds. Then keeps firing the same setup across a very large number of entries. Most profitable trades: $62.4 to $1,745.5 (+$1,683, +2,693.8%) $27.9 to $1,365.0 (+$1,337, +4,784%) $79.6 to $1,350.0 (+$1,270, +1,595.7%) The result does not come from one outsized win, but from repeating the same edge over and over. This trader's Polymarket account: ivy56 A similar workflow can be built through Jev Bot or Grok with AI agents handling market scanning, pricing analysis and execution. 🎁 GIVEAWAY I'm giving away the complete breakdown of this Quant Bot system. To get access: → Comment 'QUANT' below (MUST) → Like & Retweet this → Follow me @codewithimanshu [so I can DM you] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.12d ago18K14242540931.86%
A 19-year-old built a trading system with Claude Code in 48 hours that turned $68 into $750,000. No trading experience. Just an iPad and Claude Code. Here's the exact prompt structure he used to build it 👇 🔖 Bookmark this before it gets buried. 1. System Architecture Prompt "Build a multi-market monitoring system that connects to Binance API and tracks price movements across 50+ BTC markets simultaneously. The system should identify arbitrage opportunities when price discrepancies appear between markets and execute trades automatically when the edge exceeds 0.5%. Structure the code in modules: data fetching, analysis, execution, and logging." What this does: ➟ Sets up real-time data pipeline from Binance ➟ Monitors 50+ markets every second ➟ Creates modular codebase for easy debugging 2. Pattern Recognition Logic "Analyze incoming BTC price data and identify three patterns: price dislocation between correlated markets, volume spikes indicating momentum shifts, and order book imbalances that signal short-term direction. When any pattern appears with 70%+ confidence, flag it for trade execution." What this does: ➟ Teaches Claude Code what to look for ➟ Sets confidence threshold to avoid false signals ➟ Combines multiple indicators for accuracy 3. Risk Management Module "Implement position sizing based on account balance. Never risk more than 2% per trade. Set automatic stop-loss at 1.5% below entry. When total profit reaches 10x starting capital, reduce position size by 50% to protect gains. Log every trade with timestamp, entry price, exit price, and profit/loss." What this does: ➟ Protects capital with strict risk limits ➟ Scales down risk after major gains ➟ Creates audit trail of all trades 4. Execution Speed Optimization "Minimize latency between signal detection and trade execution. Use asyncio for concurrent API calls. Pre-authenticate API connections. Cache market data locally and update only on changes. Target execution time under 100ms from signal to order placement." What this does: ➟ Makes the bot faster than manual traders ➟ Captures arbitrage before it disappears ➟ Reduces slippage on entries and exits 5. Multi-Market Monitoring Display "Create a dashboard that shows all 50 markets on one screen. Display current price, 1-minute change, volume, and active positions. Highlight markets with active arbitrage opportunities in green. Update every second. Make it iPad-compatible for mobile monitoring." What this does: ➟ Gives visual oversight of entire system ➟ Shows opportunities as they appear ➟ Works on iPad as second monitor The system scans 50+ markets per second. Identifies mispricing humans miss. Executes before the window closes. $68 → $750K in pure arbitrage. Most people try to predict where BTC goes next. This system just finds price errors across 50 markets and exploits them before they correct. No prediction needed. No chart reading. Just pattern recognition at speed. The 5 prompts above give Claude Code everything it needs to: → Connect to Binance API → Monitor 50+ markets simultaneously → Identify arbitrage patterns → Execute trades with minimal latency → Manage risk automatically → Display everything on iPad screen Built in 48 hours by a 19-year-old engineering student. No prior trading experience. Just clear prompts and Claude Code execution. I hope you've found this thread helpful. Don't forget to bookmark for later. Follow me @codewithimanshu for more. If you enjoyed reading this post, please support it with like/repost of the post below 👇frozen26d ago17K111322202002.10%
This guy made Grok Bot harvest BTC volatility and it made $2,701 a day. The result is already +$40,522 PnL after 4,127 predictions while repeating the same setup 11 times every hour across BTC Up or Down markets. Six AI agents work together as one algorithm: 1. They use BTC volatility to build Up + Down below 100 cents The bot does not need both outcomes at a good price simultaneously. It can accumulate one side first and wait for BTC to move before buying the opposite side. For example: Up at 34 cents + Down later at 58 cents = 92 cents total cost (8 cents locked on every complete set) 2. Inventory Rotation decides how much gets paired The system continuously compares both inventories: Paired = min(Qup, Qdown) Everything that can be matched becomes a complete set. Any remaining imbalance stays directional only while the agents still see an edge. This trader's Polymarket account: AdanaKebab 4,127 predictions with a 52% win rate Most profitable trades: $759 to $2,880 (+$2,121) $1,121 to $3,120 (+$1,999) $1,441 to $3,420 (+$1,979) The system keeps rotating between directional exposure and paired inventory as BTC moves. 🎁 GIVEAWAY I'm giving away the complete breakdown of this volatility harvesting system. To get access: → Comment "HARVEST" below (MUST) → Like & Retweet this → Follow me @codewithimanshu [so I can DM you] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.frozen10d ago16K8938511491.43%
The 4K pass was the cheapest part of my whole workflow. Not the most expensive. You won't believe this: 480p to 4K for just $1. Reroll at 480p, then upscale only the keeper to 4K. Creative Upscale, only on Dreamina. Here's exactly how 👇 #Dreamina #DreaminaPartner #AIFilmmakingfrozen16d ago11K441720180.85%
What if 2 hours tonight could give you a skill that saves you hundreds of hours later? Instead of another Netflix episode, watch this Claude AI FULL COURSE. It teaches you how to: → Build with AI → Automate repetitive work → Create things you thought required a developer Most people will scroll past it. A few will watch it tonight and wake up tomorrow with a new skill. Watch it. Bookmark it. 🚀 Follow @codewithimanshu for more AI & tech content.frozen25d ago9.4K5117192421.39%
🚨BREAKING NEWS: The man who won the "Nobel Prize of Computing" claims that 99% of people use AI like a toy Yann LeCun invented the technology behind all the AI tools you use. He's Meta's Chief AI Scientist and winner of the Turing Award And he claims your prompts are shamefully superficial Here are 9 Claude prompts, based on LeCun's cognitive architecture, that transform superficial AI into expert-level reasoning:frozen13d ago9.2K4923191491.54%
Palantir charges governments millions a year for a digital command center. Elie looked at that idea, rebuilt the whole thing, pushed it to GitHub, and made it free. It’s called World Monitor. Launch it and you’re dropped onto a live 3D globe where 500+ news feeds stream in across 15 categories—AI summarizes each update the moment it hits. > Troop shifts. > Market tremors. > Quakes and storms. > Breaches and cyber events. > Air traffic. > Maritime routes. You also get 56 map layers you can pile up like transparencies. It maintains a real-time stress score for 31 countries, recalculating as events unfold. One dashboard tracks 29 stock exchanges plus commodities and crypto. And it runs local models via Ollama, meaning zero API keys and no dependency on cloud AI. Native apps for Windows, macOS, and Linux. 25 languages. Clone once, run immediately.frozen18d ago9.1K6220212561.78%
🚨 BREAKING: NotebookLM can now act like a personal research assistant for free. Upload any article, PDF, video, or document and use these 10 prompts to extract everything that matters in minutes: https://t.co/95M2XUVxWLfrozen28d ago8.6K5223132261.36%
The hardest part about trying a new creative tool is usually not learning it. It’s deciding which subscription is actually worth paying for. I compared the monthly prices across a few AI video tools, and Dreamina stood out pretty quickly — $1.5 for a full month of Basic is the most budget-friendly option I found. That makes testing a new workflow a lot easier. #Dreamina #DreaminaPartnerfrozen9d ago8.4K261013150.65%
Most people are using AI the hard way. These 11 AI tools can save you hours of work every single week 👇 1. https://t.co/sd0e7rZy7j — Solve complex problems 2. https://t.co/xYCSRd0uTJ — Remove backgrounds instantly 3. https://t.co/ULyXL6MW9u — Research anything 4. https://t.co/tB0xW4rNXu — Create music with AI 5. https://t.co/Wr0lMNBAUX — Design graphics 6. https://t.co/WtJa5AxVqh — Clone voices 7. NotebookLM — Turn information into perfect notes 8. https://t.co/YYHjK0zctU — Summarize YouTube videos 9. https://t.co/P0mdV9LAbO — Edit & generate videos 10. https://t.co/e2fQMY6bAB — Edit podcasts like text 11. https://t.co/92vXxyuD05 — Create AI avatar videos Save this list before you forget it. Follow me @codewithimanshufor more useful AI tools & resources.frozen21d ago8.3K4823211331.52%
My girlfriend asked why I was smiling at my phone at 3AM. I lost my job last week. Rent due in 4 days. No backup plan. Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores. The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin. Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths. Trade only fires when 28 out of 31 models agree. Below 26 votes? Trade dies instantly. The agent moves faster than any human trading desk: → Collects market data 24/7 without breaks → Runs continuous simulations inside MiroFish engine → Operates fully autonomous with zero manual input → Every trade executes only when consensus hits threshold → Every dollar captured is pure market inefficiency exploit That is the entire edge. Not prediction. Consensus. Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days. He spent years learning that certainty is a scam and consensus is the only edge that matters. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word Claude 2. Like and retweet this 3. Follow me @codewithimanshu so I can DM you Save this post. Build the consensus system this week. Start with $200. Scale on evidence.frozen4d ago8.1K6838530562.66%
Last time I wired up an agent stack it took 6 separate signups, 6 billing pages, and 3 free tiers that all expired on different days. Nebius just collapsed that into one place. $400+ in credits across 20 launch partners on day one, free to join. What that actually buys you: 1. Nemotron, Qwen and DeepSeek served on Token Factory through an OpenAI-compatible API, so your client code barely changes 2. Tavily for retrieval, LangChain for orchestration, LangSmith for traces, Toloka for eval, all credited from the same place 3. Runnable blueprints instead of a blank repo. Clone one, it runs, then replace a layer and it keeps running 4. Free Nemotron course with NVIDIA, AI Cloud Ops Associate certification at $1 5. Office hours with the engineers who actually built the platform Every layer stays swappable, so changing one decision later does not cost you the other five. Join the Nebius AI Builder Program free at https://t.co/y0q3fDWajofrozen27d ago7.8K534130.20%
The gap between a product image and a real shopping experience just got a lot smaller. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. The workflow is surprisingly simple: generate consistent product views from different angles in Dreamina, then send those images to GPT-6 Astra. Astra uses those references to create an interactive product detail page where customers can rotate and explore the product from every side. Instead of relying on a few flat images, this turns a product concept into a more immersive online showcase. And the best part? Dreamina’s competitive pricing makes it easier to generate multiple product views and experiment with different concepts before building the final experience. This feels like a new way to think about e-commerce visuals. #Dreamina #DreaminaPartnerfrozen25d ago7.5K3214101130.93%
What if the biggest upgrade in AI video isn’t another generation model? What if it’s giving creators a better way to tell AI where everything is supposed to be? That’s the question I had looking at GPT-6 Astra’s spatial workflow. #GPT6Astra #CapCutPC https://t.co/nQcRoHcTpkfrozen29d ago7.3K622429271.70%
This trader used Claude to build a QUANT Bot and made +$81,323 on Polymarket. 25,511 predictions in 54 days with a 46% win rate. How is this strategy generating around $1,506 per day? The logic is surprisingly simple: 1. It runs a fast market-making model focused only on short crypto Up / Down markets. 2. The system doesn't need both sides at once. It starts accumulating one side when prices become dislocated, then completes the position later if the opposite side becomes cheap enough. 3. The edge comes from temporal arbitrage, partial hedging, and constant inventory rotation across nearby windows. Some of the biggest trades: → $1,277 to $2,516 (+$1,239 | +97.0%) → $1,059 to $2,205 (+$1,146 | +108.2%) → $1,372 to $2,487 (+$1,115 | +81.3%) The entire profit curve is built on one small edge, repeated thousands of times. 🎁 GIVEAWAY I'm giving away the complete Claude prompt and workflow behind this QUANT Bot. GET it: → Comment "File" below (MUST) → Like & Retweet → Follow me @codewithimanshu [To get DM Fast] → No Follow = No DM, Move fast I'll DM a few winners in 16 hours.frozen6d ago6.8K5125341332.11%
This guy built a Monte Carlo pricing engine with Claude 5.5 Opus and it made $659 a day on Polymarket. The result is already +$85,706 PnL in 130 days with only $35 per average trade, repeating the same setup 15 times every hour across BTC Up or Down markets. Simulation, pricing and execution run as one continuous loop: 1. Monte Carlo generates thousands of possible BTC paths Instead of making one prediction, the model repeatedly simulates how BTC could move until resolution. The engine can run 10,000 different paths from the same starting point. If 6,400 finish above the reference: P(Up) = 6,400 / 10,000 = 64% If Up is still trading at 53 cents, the model sees an 11 cent gap. 2. Those paths are converted into an Up or Down probability For example: 10,000 simulated paths 6,400 finish above the reference P(Up) = 64% If Up is still trading at 53 cents, the model sees an 11 cent gap. Every new BTC move changes the inputs, so the engine reruns the simulations and updates the next order. This trader's Polymarket account: 47,117 predictions with a 52% win rate Most profitable trades: $249 to $1,763 (+$1,514) $1,038 to $2,412 (+$1,374) $179 to $1,463 (+$1,284) A similar Monte Carlo workflow can be managed through Jev Bot with AI agents handling simulation, sizing and execution. 🎁 GIVEAWAY I'm giving away the complete breakdown of this Monte Carlo system. To get access: → Comment "MONTE" below (MUST) → Like & Retweet this → Follow me @codewithimanshu [so I can DM you] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.frozen9d ago6.8K6423460252.34%
You can try GPT-6 Astra and Fable 5.1 for FREE right now 👀 Both models are currently available on Experiential Labs: → gpt-6-astra → fable-5.1 How to try them: 1. Go to https://t.co/5fqhNAeedY 2. Search for either model 3. Select it and start chatting No payment required. Save this post before the free access disappears. 🚀frozen17d ago6.7K361110140.92%
BREAKING NEWS: Google Gemini can now analyze any stock like a Wall Street analyst (free). Here are 9 amazing Gemini prompts that replace $4,000/month Bloomberg terminals: Save this to your bookmarks https://t.co/Rts80UDlsmfrozen20d ago6.5K5722131862.73%
This trader used Claude to build a QUANT Bot and made +$81,323 on Polymarket. 25,511 predictions in 54 days with a 46% win rate. How is this strategy generating around $1,506 per day? The logic is surprisingly simple: 1. It runs a fast market-making model focused only on short crypto Up / Down markets. 2. The system doesn't need both sides at once. It starts accumulating one side when prices become dislocated, then completes the position later if the opposite side becomes cheap enough. 3. The edge comes from temporal arbitrage, partial hedging, and constant inventory rotation across nearby windows. Some of the biggest trades: → $1,277 to $2,516 (+$1,239 | +97.0%) → $1,059 to $2,205 (+$1,146 | +108.2%) → $1,372 to $2,487 (+$1,115 | +81.3%) The entire profit curve is built on one small edge, repeated thousands of times. 🎁 GIVEAWAY I'm giving away the complete Claude prompt and workflow behind this QUANT Bot. GET it: → Comment "File" below (MUST) → Like & Retweet → Follow me @codewithimanshu [To get DM Fast] → No Follow = No DM, Move fast I'll DM a few winners in 16 hours.frozen5d ago6.3K5932380412.68%
This guy used Grok Bot to build a Quant position scaling system and it made $1,375 a day. The result is already +$235,199 PnL in 171 days with only $46 per average trade, repeating the same setup 25 times every hour across BTC Up or Down markets. Several agents can split the workflow between pricing, sizing and execution: 1. Every new BTC move changes the next order A position can begin small: First fill: $18 at 37 cents If the signal strengthens: Second fill: $34 at 40 cents If probability continues moving in the same direction: Third fill: $61 at 44 cents The system scales only while the estimated edge survives. 2. Maker-Taker logic controls how aggressively it gets filled With enough time, the system leaves passive orders and waits for fills. As the edge starts disappearing, it can switch to aggressive execution. Expected Edge > Spread + Slippage + Execution Cost If that condition disappears, the next order is cancelled. This trader's Polymarket account: 101,608 predictions with a 50% win rate Most profitable trades: $2,796 to $6,360 (+$3,564) $1,630 to $3,989 (+$2,359) $1,300 to $3,602 (+$2,302) The edge comes from scaling into the position only while the signal survives and switching execution style as market conditions change. 🎁 GIVEAWAY I'm giving away the complete breakdown of this position scaling system. To get access: → Comment word "Grok" below (MUST) → Like & Retweet this → Follow me @codewithimanshu [so I can DM you] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.10d ago6.1K5928372302.57%
This Claude 5.5 Opus bot on Polymarket made $78,083 in 5 days. Nobody built it to be smart. They built it to be fast. Example flows shared: $7 to $3,595 $30 to $11,063 $142 to $13,356 $1,205 to $37,939 According to the breakdown, the logic wasn't complex: → Track BTC price movements → Compare them with Polymarket odds → Enter when pricing is misaligned → Exit when the gap closes The idea is simple: Not be right, just be faster than the adjustment. While traders analyze charts, the system executes in loops. While decisions are being made, the edge may already be gone. While humans hesitate, automation compounds. I found this interesting enough to break down the structure behind it. 🎁 GIVEAWAY If you want the full breakdown and flow logic: GET access: → Comment the word "CLAUDE" below (MUST) → Like & Repost this → Follow me @codewithimanshu [To Get Auto DM] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.frozen7d ago6.0K7841500333.39%
This trader used JEV & Claude to build a Quant Bot and made +$280,122 on Polymarket. 33,043 predictions in 144 days with a 51% win rate. How is this account bringing in about $1,945 per day? The logic is simple: 1. It concentrates on short crypto Up / Down markets, averaging about 10 trades per hour. 2. Rather than treating every window as a single prediction, the system appears to keep reevaluating the probabilities while the market is still open. 3. It can build a directional position first, then use the opposite outcome later to reduce risk or improve the structure when conditions change. Most profitable trades: → $10,219 to $19,041 (+$8,822 | +86.3%) → $12,355 to $20,800 (+$8,445 | +68.4%) → $7,605 to $15,571 (+$7,966 | +104.8%) The 51% win rate is only part of the picture. Most of the performance comes from how the system sizes, hedges, and restructures exposure across more than 33,000 entries. 🎁 GIVEAWAY I'm giving away the complete Claude prompt and workflow behind this Quant Bot. GET it: → Reply the word "File" below (MUST) → Like & Retweet → Follow me @codewithimanshu [so i can send u DM] → No Follow = No DM, Move fast I'll DM a few winners in 16 hours.3d ago5.9K9434691414.06%
JEV just changed everything we know about AI trading. Yesterday it went viral in AI circles. Today a Monad engineer already built a fully automated trading bot with it. This is wild 🔥 The bot reads MON/USDC price in real time. But here's the crazy part: JEV doesn't write analysis reports or explain its reasoning. It just does the core work: → Decides Buy or Sell → Assigns confidence level → Sends trade directly to Kuru on-chain order book → Executes immediately Now I understand why JEV was designed as a model that doesn't talk. Trading doesn't need an AI writing essays every 300ms. What it needs: Market data in → judgment → order placed → new data → re-judge The entire loop has to be fast and cheap. Monad produces a block every 300ms. Kuru runs an on-chain order book. High-performance chain handles execution, JEV handles decisions. This is what an AI-native trading system looks like. Future trading agents won't need massive models that write research reports. They need a brain that makes millions of judgments under ultra-low latency. I got my WL approved today. Testing it next week. Save this post. This is the future of automated trading. Follow @codewithimanshu for more on AI and trading tech.frozen13d ago5.7K3720161211.67%
A 19-year-old built a trading system with Claude Code in 48 hours that turned $68 into $750,000. No trading experience. Just an iPad and Claude Code. Here's the exact prompt structure he used to build it 👇 🔖 Bookmark this before it gets buried. 1. System Architecture Prompt "Build a multi-market monitoring system that connects to Binance API and tracks price movements across 50+ BTC markets simultaneously. The system should identify arbitrage opportunities when price discrepancies appear between markets and execute trades automatically when the edge exceeds 0.5%. Structure the code in modules: data fetching, analysis, execution, and logging." What this does: ➟ Sets up real-time data pipeline from Binance ➟ Monitors 50+ markets every second ➟ Creates modular codebase for easy debugging 2. Pattern Recognition Logic "Analyze incoming BTC price data and identify three patterns: price dislocation between correlated markets, volume spikes indicating momentum shifts, and order book imbalances that signal short-term direction. When any pattern appears with 70%+ confidence, flag it for trade execution." What this does: ➟ Teaches Claude Code what to look for ➟ Sets confidence threshold to avoid false signals ➟ Combines multiple indicators for accuracy 3. Risk Management Module "Implement position sizing based on account balance. Never risk more than 2% per trade. Set automatic stop-loss at 1.5% below entry. When total profit reaches 10x starting capital, reduce position size by 50% to protect gains. Log every trade with timestamp, entry price, exit price, and profit/loss." What this does: ➟ Protects capital with strict risk limits ➟ Scales down risk after major gains ➟ Creates audit trail of all trades 4. Execution Speed Optimization "Minimize latency between signal detection and trade execution. Use asyncio for concurrent API calls. Pre-authenticate API connections. Cache market data locally and update only on changes. Target execution time under 100ms from signal to order placement." What this does: ➟ Makes the bot faster than manual traders ➟ Captures arbitrage before it disappears ➟ Reduces slippage on entries and exits 5. Multi-Market Monitoring Display "Create a dashboard that shows all 50 markets on one screen. Display current price, 1-minute change, volume, and active positions. Highlight markets with active arbitrage opportunities in green. Update every second. Make it iPad-compatible for mobile monitoring." What this does: ➟ Gives visual oversight of entire system ➟ Shows opportunities as they appear ➟ Works on iPad as second monitor The system scans 50+ markets per second. Identifies mispricing humans miss. Executes before the window closes. $68 → $750K in pure arbitrage. Most people try to predict where BTC goes next. This system just finds price errors across 50 markets and exploits them before they correct. No prediction needed. No chart reading. Just pattern recognition at speed. The 5 prompts above give Claude Code everything it needs to: → Connect to Binance API → Monitor 50+ markets simultaneously → Identify arbitrage patterns → Execute trades with minimal latency → Manage risk automatically → Display everything on iPad screen Built in 48 hours by a 19-year-old engineering student. No prior trading experience. Just clear prompts and Claude Code execution. I hope you've found this thread helpful. Don't forget to bookmark for later. Follow me @codewithimanshu for more. If you enjoyed reading this post, please support it with like/repost of the post below 👇frozen27d ago5.4K6321261412.83%
As scaling laws drive AI clusters toward tens and hundreds of thousands of chips, traditional electrical interconnections are hitting hard physical limits in distance and performance. To keep pace with massive LLMs and multimodal AI systems, the infrastructure layer is shifting rapidly toward advanced optical interconnects. At the center of this shift is Near-Packaged Optics (NPO), which is rapidly moving from an architectural concept into engineering validation and real-world deployment. NPO addresses critical bottleneck challenges by providing high bandwidth while leveraging a relatively mature supply chain and easier maintainability compared to alternative approaches. A major update in this space involves Huawei and the Optical Internetworking Forum (OIF) formalizing international standards for NPO to establish a unified industry framework. On the hardware front, Huawei recently introduced a high-capacity 7.2T NPO module along with a 51.2T NPO switch featuring all ports fully lit. Developments like these highlight how physical hardware and standardization efforts are evolving alongside software architectures to support the next era of AI compute infrastructurefrozen24d ago5.3K1756130.60%
Most people use AI. Very few know how to prompt it properly. Here are 5 powerful frameworks you can copy, paste, and use immediately 👇 🔖 Bookmark this. You’ll want it later. 1. R-A-I-N ➟ Role → Tell AI who to be ➟ Aim → Define what you want ➟ Input → Give the necessary context ➟ Numeric Target → Add a measurable goal ➟ Format → Specify the output style Example: UX Lead → Reduce cart abandonment → Use analytics → Target 25% reduction → Wireframes + metrics table 2. C-L-A-R ➟ Context → What’s the situation? ➟ Limits → What constraints should AI follow? ➟ Action → What should AI do? ➟ Result → What should the final output look like? Perfect for turning messy information into clear recommendations. 3. F-L-O-W ➟ Function → Define AI’s role ➟ Level → Specify the audience ➟ Output → Describe exactly what you need ➟ Win Metric → Define what success looks like Great for content, marketing, career, and business prompts. 4. P-I-V-O ➟ Problem → What needs solving? ➟ Insights → What information matters? ➟ Voice → What tone should AI use? ➟ Outcome → What result do you want? Use this when you need AI to think through a problem, not just generate text. 5. S-E-E-D ➟ Situation → Set the scene ➟ End Goal → Define the destination ➟ Examples → Show what you mean ➟ Deliverables → List exactly what you need The more specific your prompt, the less time you spend fixing AI’s output. Save these 5 frameworks. And next time AI gives you a generic answer, don’t blame the AI. Fix the prompt. Follow @codewithimanshu for more practical AI tips.frozen28d ago5.3K6023240422.83%
You can't engineer luck. Cleanest phrasing of P vs NP I've ever heard. NP is the magical computer that always tells you which path to take. P is what current silicon can actually do. Tetris is NP-complete. Chess is EXP-complete. MIT 6.006 Introduction to Algorithms, Fall 2011. Free on YouTube. The clearest 1-hour lecture on computational complexity ever recorded. Most CS grads don't understand this. Bookmark it. Follow @codewithimanshu for more high-signal computer science content from the people actually teaching at MIT and Stanford.frozen25d ago5.1K5323170152.13%
A trader built a QUANT bot using Claude Fable 5. I saw it & asked Claude Fable 5 to do something wild: Analyze undervalued markets on Polymarket to find arbitrage opportunities and detect the wallets exploiting them so I can copy them. Turned $2K -> $11K overnight. It monitored over 1,000 wallets. I realized something fast: There are arbitrage bots I can't compete with without knowing how to program. But I can find them. And copy them. Fable 5 built me a monitoring terminal connected to a copytrading bot on Telegram. Not a script. Not even a bot. An AI agent that improves every time it finds a new wallet. It analyzes the behavior of each wallet: → How it operates → Its arbitrage patterns → The size of its positions → The exact moment it enters 70% hit rate right now. 7 wallets being copied out of 500+ monitored. The bot never stops. Never bets. It just follows the math and seeks profit. Most people are trying to predict the market. This system just identifies who's already winning and copies their exact moves. No guessing. No emotions. No trading experience needed. The entire edge is pattern recognition + execution speed. While traders debate which way BTC will move, this agent is already positioned in the same trades as wallets pulling $10K+ per day. You only need: → Claude → A device → 1 hour per day The system runs autonomous after setup: → Monitors 1,000+ wallets continuously → Detects arbitrage patterns in real-time → Copies winning positions automatically → Improves selection logic with each trade No manual trading. No chart reading. Just identifying proven edges and following them. 💡 I'm sharing the complete monitoring terminal + copytrading bot setup for free. 24 hours only. To get it: 1️⃣ Comment "Fable" 2️⃣ Like and Repost 3️⃣ Follow @codewithimanshu ( So i can DM you) I'll DM you everything.frozen22d ago4.9K9962760816.47%
Found a camera move I loved yesterday. Old workflow: replay it 20 times, write an absurdly specific prompt, generate, sigh, rewrite. New workflow: Dreamina Canvas has Extract Motion now. Drop in the clip, pull out the motion and spatial depth, build from there. With a full month of Dreamina Basic for $1.5 — up to 90% off, till Oct 9. #Dreamina #DreaminaPartner2d ago4.5K491419141.95%
Made $22,400 last month with copy trading + a Claude 5.5 Opus bot running 10,000 BTC simulations before every trade. The exact setup a Hong Kong marketer used to make $360,000 in 30 days. I've put together a step-by-step guide showing exactly how to build and use this bot. Honestly, I could've sold this for $1,190. But I'm giving it away FREE for the next 24 hours. How it works: → Claude 5.5 Opus handles the algorithm → MiroFish powers the simulation engine 10,000 simulations run before every single trade. Target: $5,000 to $15,000 per position. His wallet hit $366K. Mine reached $22.4K in 30 days just by copying his system. He's not guessing the market. He's running 10,000 versions of the future before making a move. While you're trading on instinct, he's running Monte Carlo simulations in the background. 🎁 GIVEAWAY To get access: → Comment the word "Data" below (MUST) → Like & Retweet this → Follow me @codewithimanshu [so I can DM you] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.frozen8d ago4.1K5130300323.46%
THIS IS PURE GOLD SpaceXAI has just released a 3-page manual to turn Grok Bot into a 24/7 AI team The change is simple: Instead of giving tasks to a single Bot one by one, you build a Chief + teams of specialists who handle complete workflows Here's the Grok Bot playbook in 7 steps: Step 1: mental model A single PC in the cloud, multiple Bot screens, shared files, browser sessions, credentials and /workspace running underneath Step 2: setup order Create the Chief first. It doesn't do the work, it routes → delegates → oversees handoffs → collects results → scales when necessary Step 3: internal bus Stop passing important context through the chat. Research, drafts, evidence, decisions and handoffs live inside /workspace, so any Bot can pick up exactly where another left off Step 4: specialist teams Divide content, intelligence, operations, research and coding among different Bots while a single Chief coordinates everything Step 5: automation Every serious workflow has 3 gates: source gate → evidence gate → action gate. Bots keep working until they really need human approval Step 6: trust layer Let the Bots research, draft, summarize, reconcile, verify and prepare actions autonomously. Humans only intervene for money, publications, deletions, signatures and irreversible external actions Step 7: costly lessons Constant polling burns quota, syncing everything wastes usage, bad retries can duplicate actions, undocumented internal systems end up breaking and adding too many Bots can make everything slower Result: Grok Bot stops being a simple chatbot and becomes a 24/7 AI team: → Every workflow has an owner → Every handoff leaves evidence → And humans only intervene when judgment or approval is needed Read this before creating another Grok Bot The manual gathers the 18 rules and everything needed to set up a multi-agent system: architecture, handoffs, approvals and automation Save it and build your own Grok Bots team with the article below👇frozen21d ago4.1K4117130553.08%
I will change many lives this week. 🫶🏼 I’m restarting the $100 → $100,000 challenge. I want everyone to have a fair shot at following along. Last time, it took me about 1 month. This time, I’m going to try to do it faster. 🚀 Reply “$QQQ” and I’ll DM it to you. Want to follow along? 1. Like & Retweet 2. Comment “$QQQ” below to join 3. Follow @codewithimanshu I’m locking the comments in 24 hours.frozen15d ago3.8K552845043.45%
You can potentially earn $7,900/month with just: 1. Internet 2. A mobile phone 3. 1 hour a day Want to know how? I’m sharing my step-by-step guide 100% FREE for the next 48 hours. Reply “Guide” and I’ll DM it to you. 1. Like & retweet 2. Comment "Guide" 3. Follow @codewithimanshu ⏳Free for 48 hours only.frozen17d ago3.6K26923021.65%
Wild that so many people still haven’t figured out how to turn ChatGPT into cash. Make $1,000/day using ChatGPT 💰 [100% GUARANTEED] All you need is: 📱 Your phone 🌐 WiFi ⏳ 60 minutes a day 👉 Like this & retweet 👉 comment “Send” 👉 follow @codewithimanshu I’ll DM it to you. FREE for the next 24 hours only.frozen19d ago3.6K502840053.39%
Found a clip that made you think "what prompt did they even use for this?" Dreamina can actually answer that question. Prompt tools stop at generation. A canvas gives you the project around it. Dreamina 2.0 is canvas-first — the new way AI video is made. #Dreamina #DreaminaPartnerfrozen4d ago3.3K551835083.52%
🚨 WARNING: THE FINAL BULL TRAP MAY BE HERE Last week, I warned that Bitcoin could pump to $86K. Now, we’re seeing the pattern I called play out. The roadmap: $86K → $70K → $61K → $53K Save this post and check back later. Quick reminder: I publicly called Bitcoin’s $17K bottom in 2022 and the $126K top in 2025. Then I called the $58K local bottom in 2026. My next call will be posted here first. Follow @codewithimanshu + turn on notificationsfrozen16d ago3.1K341212082.15%
What if 2 hours tonight could give you a skill that saves you hundreds of hours later? Instead of another Netflix episode, watch this Claude AI FULL COURSE. It teaches you how to: → Build with AI → Automate repetitive work → Create things you thought required a developer Most people will scroll past it. A few will watch it tonight and wake up tomorrow with a new skill. Watch it. Bookmark it. 🚀 Follow @codewithimanshu for more AI & tech content.frozen23d ago2.9K4820170173.56%
A one-man trader can now build what used to require an entire hedge fund research team. Cost: ~$100/month in AI subscriptions. Five PhDs at a top quant desk? ~$270,000/month. And AI doesn't just replace the analysts. It changes how fast you can test ideas. The system looks like this: 1 research agents Read filings, transcripts, options flow, and on-chain data overnight. 50 different research personas can attack the same market from different angles. 2. Coding agent Give it one sentence: "Build a strategy around this signal." It creates the entry rules, exits, sizing, and risk limits. Then fixes its own code. 3. Backtest agent Takes the strategy and replays years of historical data in seconds. Weak ideas get eliminated before real money touches them. 4. Breaker agent The most important agent in the entire stack. It tries to destroy everything the other agents built. Higher fees. More slippage. Worst market conditions. Worst historical periods. If it survives the attack, the strategy gets another test. 5. Critic agent Reads your trading journal. Finds the mistakes you keep repeating. Then feeds those mistakes back into the system. That's the new quant workflow: Research → Build → Backtest → Attack → Improve → Repeat. No giant research floor. No army of analysts. No waiting weeks to test one idea. Just a network of AI agents working around the clock. And the biggest edge isn't that AI can predict markets. It's that AI can test thousands of ideas faster than a human team ever could. 💡 I'm sharing the complete AI QUANT workflow, including the exact agent structure, prompts, backtesting process, and breaker framework. Free for 24 hours. To get it: 1️⃣ Comment "AI" 2️⃣ Like + Repost 3️⃣ Follow @codewithimanshu I'll DM you the setup.frozen24d ago2.7K4626310194.55%
HOLY SH*T, I BUILT A F**KING COMPANY INSIDE JEV & GROK BOT No employees, meetings & constant back-and-forth. Just 6 AI agents running different departments: → Research → Writing → Outreach → Operations → Finance → Support Each agent owns one specific job. Nothing overlaps. Here's how it works: Every agent runs its own workflow and keeps its own memory. When one finishes, it passes the work directly to the next agent in line. No routing back through me. No manual handoffs. Zero bottlenecks. The control layer sits on top: Anything that sends emails, spends money, publishes content, or deletes files gets flagged. It stops at approval before execution. I review, approve or reject, then it continues. After running this for a few days, something clicked. This doesn't feel like chatting with AI anymore. It feels like managing a 24/7 operations team from a single dashboard. The weirdest part: Most people are still using AI for one-off questions. Meanwhile, you can build an entire autonomous operation that runs while you sleep. Save this. Build your team inside Grok this weekend. Follow @codewithimanshu for more setups like this.19h ago2.1K312010073.24%
I will change many lives this week. 🫶🏼 I’m restarting the $100 → $100,000 challenge. I want everyone to have a fair shot at following along. Last time, it took me about 1 month. This time, I’m going to try to do it faster. 🚀 Reply “$QQQ” and I’ll DM it to you. Want to follow along? 1. Like & Retweet 2. Comment “$QQQ” below to join 3. Follow @codewithimanshu I’m locking the comments in 24 hours.15d ago1.7K643110.91%
Turns out the best time to choose 1080p is… after I know what I'm making. Been playing with Dreamina Seedance 2.5 (for preview), and I really like the logic: figure out the shot at 480p, then generate the version you want natively in 1080p. There's also a full month of Dreamina Basic for $1.5 right now, up to 90% off until Oct 9. #Dreamina #DreaminaPartner12h ago1.4K1999012.71%