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ctoshii

@cuantoshi

Do you want to be right, or do you want to make money? -Class of 2021-

가입일 Nisan 2021
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Nav Toor
Nav Toor@heynavtoor·
🚨 Someone built an AI that reads candlestick charts the way GPT reads English. Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free. It's called Kronos. The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns. Every other model treats financial data like weather data. Kronos treats financial data like financial data. Here's what it does: → Price forecasting. Feed it candlesticks. It predicts where price goes next. → Volatility prediction. Forecasts how volatile an asset will be before it happens. → Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe. → 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more. → 4 model sizes. 4M params runs on a laptop. 499M for max accuracy. → Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly. Here's the wildest part: → 93% more accurate than the leading time series model → 87% more accurate than the best non-pretrained baseline → All zero-shot. No fine-tuning. Out of the box. Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year. This runs on your laptop. Few lines of Python. Free. Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face. 11.6K GitHub stars. 2.4K forks. MIT License. 100% Open Source.
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mr enjoyer 🧙‍♂️
mr enjoyer 🧙‍♂️@100xChaser·
🚨 LISTEN UP 🚨 I'm making $800/day from a bot I built with zero market making experience here's how 👇 XMR/USDC pair on Wagyu DEX is one of the most inefficient markets in crypto right now the main spot pair gets absolutely slammed by huge orders constantly, from regular traders AND their instant swap platform routing through it when that happens, the slippage they leave behind is enormous and almost nobody is sitting there to capture it so I vibe coded a simple MM bot over a weekend no prior MM experience, just used the docs Wagyu provides it quotes around the spread, captures the slippage and hedges against Hyperliquid's official XMR perps pair even on quiet days when there are no massive trades, the market is just generally more profitable to make on than most pairs I've tried I'll link Wagyu's docs below to help you setup an MM bot this is honestly one of the better alpha opportunities I've found this year result: ~$800/day on autopilot with minimal ongoing effort
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WhaleCalls
WhaleCalls@whalecalls·
Holy shit they're doing Elliot waves
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ctoshii
ctoshii@cuantoshi·
Useful resources for AI
hoeem@hooeem

if you have ai “anxiety” or you just want to learn how to use ai in 2026 then here’s a FREE list of resources ranked from beginner to expert for your convenience: > beginner 1. Anthropic Academy: Claude 101 & AI Fluency anthropic.skilljar.com 2. Google AI Essentials grow.google/ai 3. AWS: Generative AI Essentials aws.amazon.com/training/learn… 4. Elements of AI (University of Helsinki) elementsofai.com > intermediate 5. DeepLearning AI short courses deeplearning.ai/short-courses/ 6. Harvard CS50’s Introduction to AI with Python cs50.harvard.edu/ai/ 7. Hugging Face AI agents course huggingface.co/learn/agents-c… > expert 8. Anthropic: Claude Code in Action anthropic.skilljar.com 9. Practical Deep Learning for Coders course.fast.ai 10. Google Generative AI Learning Path cloudskillsboost.google/paths/118

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Game
Game@game_for_one·
Highly recommend listening to Stan Druckenmiller's latest interview with Morgan Stanley. Some of my favourite thoughts: - Contrarianism is overrated. The crowd is right 80% of the time - just don't get caught in the other 20% - Your edge isn't being right, it's sizing when you're right and cutting when you're wrong. Soros playbook. - You don't need to understand everything. He couldn't spell Nvidia. He trusted people smarter than him on the details, then made the call - Volatility isn't the enemy. It's your entry point if you have conviction - TA and price/news signals worked until everyone learned them. Edge dies when it becomes consensus - Courage (Balls) matters more than wisdom. He's smarter now than in his 30s and was a better PM then. He had more nerve - Scars don't go away - and they shouldn't. But mistakes are a moment in time. Get over it and move on - Growth investors didn't want Teva, value investors didn't want it either. That's exactly where the opportunity was - stocks stuck in no man's land between investor bases - Where the smartest young people are going is a leading indicator. He tracked Stanford kids shifting from crypto to AI before the trade was obvious - Knowing when something is big doesn't mean you'll hold it perfectly. He sold Nvidia at 800, it went to 1400. Even with the right thesis you'll still screw up the execution - Pattern recognition compounds over decades. There's no silver bullet, just 40 years of seeing things before
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Killa
Killa@KillaXBT·
Read this article, and you’ll understand exactly what I’m doing on this $BTC drop. This was all expected. Be prepared for fud.
Killa@KillaXBT

x.com/i/article/2016…

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ctoshii
ctoshii@cuantoshi·
Skynet is here? "The AI singularity, or technological singularity, is a hypothetical future point in time when artificial intelligence surpasses human intelligence and capabilities, triggering runaway, self-improving, and uncontrollable technological growth"
Elon Musk@elonmusk

We are in the beginning of the Singularity

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ctoshii
ctoshii@cuantoshi·
More volatility please
mert@mert

allow me to explain the markets i) all of history, news were local and took long to travel across zipcodes ii) even when the news did travel, investing was not democratized. the friction between news -> flows was high iii) the above combined make the flywheel required for reflexivity high friction to spin. so all moves must happen relatively slow. this is how the grandpa from omaha made his money. slow compounding over time was the play iv) and then the internet happened. news now travel at the speed of light across earth v) but investing was still high friction. that is until robinhood and crypto came along vi) with the above, you now have instant market expression after the propagation of information vii) but market expression itself is information, meaning people then use it to make more market expressions viii) this is called a reflective loop. price goes up -> people bet on it with no friction -> price keeps moving faster -> more people bet on it, and so on. there is now a metric ton of extra noise present in the system, which means volatility, which means the exchanges eat more than ever ix) crypto was and is the purest expression of this since the friction is roughly non-existent vs RWAs x) RWAs have now entered the internet reflexivity age. meaning they will over-interpret geopolitical events and become more volatile than they've ever been xi) the practical implications are two fold: - controlling your emotions and time horizons is harder but more important than before - before, pure fundamentals alone could've carried you. but now the story of the asset you're investing in matters just as much as its fundamentals because the story is what dictates the propagation of the memes

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