Ickr Ecchi
3.1K posts
Ickr Ecchi retweetledi
Ickr Ecchi retweetledi
Ickr Ecchi retweetledi
Ickr Ecchi retweetledi
Ickr Ecchi retweetledi
Capcom took these two and legit made em do a fusion dance to make Ashley..
VideoArtGame@VideoArtGame
Capcom used Ella Freya's face and PeachMilky's body to build the character of Ashley Graham in Resident Evil 4 Remake.
English
Ickr Ecchi retweetledi
Jim Simons turned $100 into $130 billion using math.
He just gave the entire playbook in a free 1-hour MIT lecture.
You've been picking stocks based on Reddit and vibes.
He returned 66% per year for 30 years using equations.
This is the most valuable hour you'll spend this week.
Save the video. Watch it tonight. Build the bot this weekend.
Follow @codewithimanshu for more high-signal content that turns lectures into income.
↓
Below what nobody is telling you about this lecture.
Everything Jim Simons taught Renaissance Technologies in the 1980s is now buildable in a weekend with Claude Code.
Pattern recognition across thousands of assets. Signal detection in noise. Automated execution. Risk management at scale.
In 1988, this required a team of 50 PhDs and millions in infrastructure.
In 2026, one person with Claude + a laptop can build a working version in 7 days.
The knowledge gap between you and a Renaissance trader is now smaller than it has ever been in history.
Follow @codewithimanshu for daily breakdowns of the AI tools that turn this knowledge into income.
↓
What this lecture actually teaches you to build.
Simons walks through the core principles that printed $130 billion:
> Find statistical edges that are invisible to humans
> Trade only when the math says yes, never on emotion
> Run hundreds of small bets simultaneously, not one big bet
> Cut losses ruthlessly when signals weaken
> Compound relentlessly across decades
These aren't trading tips. These are the foundational principles of every AI trading bot worth running.
Watch the lecture. Take notes. Then turn it into a system.
Follow @codewithimanshu for the exact Claude prompts that turn quant theory into deployed bots.
↓
Your weekend playbook to turn this into profits.
Friday night: watch the Simons lecture. Take notes on every signal he mentions.
Saturday: open Claude Code. Build a backtesting framework using historical price data. Test 3-5 of his core signal ideas.
Sunday: paper trade your best signals on Polymarket, Toobit, or Alpaca. Validate before risking real capital.
Monday: deploy a small position. $100. $500. Whatever you can lose without flinching.
Compound. Iterate. Scale.
That's how a Simons-grade trading system gets built in 2026. Not over 30 years. Over one weekend.
Follow @codewithimanshu for the exact templates and prompts to build each piece.
↓
This is the best time in history to build wealth with AI trading.
Jim Simons needed:
> A team of 50 PhDs
> $25 million in compute
> 10 years of infrastructure
> Custom data feeds nobody else had
You need:
> Claude Code
> A laptop
> 7 days of focus
> $20/month in API costs
Same math. Same principles. Same edge.
Different barrier to entry.
People who watch this lecture and build with the knowledge will compound for the next decade.
People who save it for later, will still be picking stocks based on vibes in 2027.
Save the video. Watch it tonight. Build the bot this weekend.
Follow @codewithimanshu for more high-signal content that turns lectures into income.
Himanshu Kumar@codewithimanshu
I made $32,400 in 14 days copy-trading a Chinese student who turned $0.90 into $408,292 on Polymarket in 48 hours. One Claude prompt. 20 minutes. A bot that prints money in the 100ms gap between Binance spot and Polymarket CLOB. I've made the exact build guide. Giving It Free for 24 hours. To get it: 1. Comment "CLAUDE" 2. Like and Retweet 3. Follow me @codewithimanshu (Only then, i can DM you) You only need Claude + a device + 1 hour/day. The wallet that started this. His handle: Gravia on Polymarket. Only 2 days old. Almost zero viewers. $0.90 to $408K in 48 hours. I reverse-engineered his terminal. Had Claude build the same bot from one prompt. 20 minutes. Done. What the bot actually does: → Pulls real-time BTC data from Binance WebSocket + 5M K-lines → Cross-references TradingView signals + CryptoQuant exchange flows → Uses MiroFish force-graph engine to map 100 nodes / 180 edges → Detects convergence in BEAR / BULL clusters → Catches moments when Polymarket CLOB lags spot price by >0.3% → Executes in <100ms before contract reprices → 1,000+ orders per second on UP/DOWN 5MIN markets → Grabs 0.3-0.8% per trade → Skips if no edge, thin liquidity, signal conflicts, or daily cap hits Risk controls baked in: → Per-trade risk: 0.5% → Daily cap: 2% → Hard stop: -0.4% → Runs on local terminal → No cloud. No GPU. The edge: → Not predicting BTC → Exploiting Polymarket's 100ms CLOB lag → Profit captured in milliseconds, not days The expiry date: → Polymarket patches the lag → Quant funds enter → Edges compress. Window closes. A student with Claude is pulling HFT returns right now. In 12 months this opportunity is gone. The 2 questions everyone's asking: → How big can this 5MIN scalper scale before it breaks? → Will Polymarket ban it? You only need Claude + a device + 1 hour/day. Save this post. Build the scalper this weekend. Start with $100. Scale on evidence. You Must Follow me @codewithimanshu, so i can send you DM.
English
Ickr Ecchi retweetledi
Ickr Ecchi retweetledi
Ickr Ecchi retweetledi
Ickr Ecchi retweetledi
