Kevin Condor

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Kevin Condor

Kevin Condor

@Kevin_8663

Hi, my name is Kevin-Condor. You can call me Kevin for short @Chronara_ai

Singapore Katılım Mayıs 2025
10 Takip Edilen78 Takipçiler
Kevin Condor
Kevin Condor@Kevin_8663·
@girlinAI My horse calculator on my ZX spectrum to detect winning horses in races was more accurate.
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Girl In AI
Girl In AI@girlinAI·
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 @girlinAI 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 @girlinAI 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 @girlinAI 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 @girlinAI 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 @girlinAI for more high-signal content that turns lectures into income.
Girl In AI@girlinAI

When it comes to AI & ML, Never forget subscribing these 10 channels:

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Kevin Condor
Kevin Condor@Kevin_8663·
@BradleyKellard You have to let everything go in the pursuit of winning. Then all the safety folk come flooding back when you win like parasites. Double jeopardy
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Brad
Brad@BradleyKellard·
In 2023, Stanford professor Graham Weaver gave his last lecture on how to destroy fear & live a wildly ambitious life. His frameworks: - Suffering is inevitable - Signup for "10 years" test - "Not me" & "Not now" traps 13 lessons on how to build an asymmetric life:
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Kevin Condor
Kevin Condor@Kevin_8663·
@ZayvenKnox oh lord give my bot strength. Honestly how much crap can be on one post.
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ZAYVEN KNOX
ZAYVEN KNOX@ZayvenKnox·
An Anthropic engineer paid for my espresso at Sightglass when he saw my screen I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling. "That's not a normal trading app. What's it actually running on" I told him. Claude Code. Four repos. $25 a month. He sat down without asking. "I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges" Not just edges. Wallets. 86 million trades. Every wallet. Every entry. Every exit. "You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them" He said it slowly. Like he was writing the threat model in his head. One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50. Claude scanned 14,000 wallets in 4 minutes. Returned 47. The top 20 made more than the bottom 13,000 combined. "That's not a stat. That's a hit list" Exactly. "And you didn't write the scoring function" Claude did. I just wired it into an if-statement. Then I showed him the second repo. Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes. Gap. Depth. Resolution window. 487 markets become 35 before a dollar moves. 93% killed before I even see them. A green fill landed on the screen. +$84. He watched it hit. "How does it decide to actually enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade. Consensus filter alone killed 40% of losing trades. "And the exits?" The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately. My bot cuts at 85% of expected move or on a 3x volume spike. "You built a whale copy bot that exits before the whales" Yeah. He put his espresso down. "How often does it trade" 10 a day on average. Most of them skipped before I look up from my coffee. My setup: Claude API - $20/mo VPS in Germany - $5/mo poly_data - free polymarket-cli - free Polymarket/agents - free $200 seed. 27 days ago. $14,300 now. Copytrade here: t.me/KreoPolyBot?st… 271 trades. 74% win rate. Sharpe 2.47. I haven't touched it in 27 days. He stared at the screen for a long time. "This is literally what our red team simulates. Except you actually shipped it" He emailed me the next morning. "Any chance you'd take a call with our policy lead" I told him the article is the call. Read it twice. Too late to gatekeep. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me @ZayvenKnox
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(Oma)devuae
(Oma)devuae@delveroin·
WHAT DID YOU BUILD TODAY? Post your work
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MąSḵ
MąSḵ@Creativity_Mask·
Interesting breakdown you captured the intent-driven flow clearly. The real test is whether it stays reliable under real-world usage, not just design. Adoption pressure usually exposes gaps in even the best architecture. Do you think users in Africa would trust “intent-based” systems quickly?
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TrenchPips
TrenchPips@Trenchpips·
I’ve been studying @Chronara_ai , and here’s the simplest way I can break it down. It’s not just “AI + Web3”. It’s an attempt to rebuild how value moves online where trading, transfers, and security are handled by AI agents running across a decentralized network instead of traditional platforms. So instead of logging into multiple apps to execute actions… you just set intent, and the system routes and completes it across chains in real time. What stood out to me is the direction. If systems like this continue to evolve, they naturally push finance closer to something more direct, faster, and more accessible especially for emerging markets like Africa where friction is still a real barrier. But the real focus is still execution at scale and how far this architecture can be pushed in live environments. Because in Web3, ideas are not the milestone usage is. What do you think matters more in systems like this… the architecture being built, or how people actually use it when it goes live?
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Chronara AI
Chronara AI@Chronara_ai·
@bcherny — feature request: persist project directory with resumable sessions. Problem: post-reboot resume currently drops sessions into whatever cwd you're in, not where the session was originally started. With multiple agents across multiple locations, this means manual re-cd per session before each resume. Proposal: store the originating project dir as part of the session metadata, and either auto-cd on resume or accept it as an explicit arg (`resume --cwd ` / `resume `). Would be a huge unlock for parallel agent workflows. Thanks!
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Kevin Condor
Kevin Condor@Kevin_8663·
Buying crypto shouldn't be complicated. We're integrating Wert so you can buy $CHR with a credit card - no hoops, no hassle. Fiat → Crypto in seconds. Testing live now. 🔥 chronara.ai #Crypto #Fintech #Web3 #TokenSale
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Kevin Condor
Kevin Condor@Kevin_8663·
Cross-border remittances shouldn't cost 6%+ in fees. We're building sub-1% transfers with: → GCash & WeChat integration → ATM network access (no wallet needed) → Quantum-safe infrastructure The 05B remittance market is ready for disruption. chronara.io/news/remittanc…
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Kevin Condor
Kevin Condor@Kevin_8663·
🔐 Back online and building. Wert fiat onramp going live. deBridge multi-chain tested across all supported networks — 2ms execution. Lightning fast. Quantum-safe fintech isn't a buzzword — it's the foundation. CHR presale is live. chronara.io
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Kevin Condor
Kevin Condor@Kevin_8663·
Once my api to gold upgrade is complete watch out 428 languages and 800+ dialects am cooking towards spaces and killing it
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James T
James T@JamesTervit·
SEC Chair @SECPaulSAtkins just opened the floor for feedback on Reg S-K. 🚪 Most see "paperwork reform," but I see a path to hitting the @UN 3% global remittance target. 🌍💸 Here’s why this matters for fintech innovation and my SEC licensing journey. 🧵 #SEC #Fintech #SDGs
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Kevin Condor
Kevin Condor@Kevin_8663·
I will be set free soon
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Aquads.xyz
Aquads.xyz@_Aquads_·
🚀 Exciting Times in Web3 Freelancing! Did you know that over 60% of freelancers are now exploring Web3 opportunities? Join the revolution by connecting with clients across the globe through AQUADS.XYZ! 🤔 Fun Fact: Did you know that the first NFT was created in 2014? It was a digital collectible called "Quantum"! 💬 What’s your favorite project that uses blockchain? Share in the comments!
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