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We just launched Quant IQ 🧠 an AI assistant built directly into Quant Data. It sees what you see 👀. Ask "What does the 0DTE GEX look like for SPY?" and it answers using the live data on your screen. You can describe what you want in plain English,...

21,009 Aufrufe • vor 3 Monaten •via X (Twitter)

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A lot of people still don’t understand how ruthless systematic trading can be. This is exactly why I run a quant fund alongside everything else I do. The quant fund is built to measure momentum on the 4 hour timeframe. Nothing more. Nothing less. No opinions. No emotions. No discretion. It tracks 15 core stocks and follows the same rule set every single time. When the 4 hour signal line turns green and increases, it buys. When it rolls over and turns red, it exits. Period. This fund does not care what I think. It does not care what I want. It does not care about headlines, FOMC, earnings or narratives. It follows the signal to a T. That’s what makes it so powerful. This is completely separate from my main fund, which is longer term positioning based on monthly and weekly signal lines across sectors. It’s also completely separate from my options trades, which are built around a 2–3 month outlook and larger macro structure. Three different approaches. Three different time horizons. Three different objectives. The quant fund exists for one reason. To systematically capture short term momentum while removing every human weakness that causes traders to fail. The part most people can’t handle? They want to intervene. They want to override. They want to “feel” their way through it. Quant trading doesn’t allow that and that’s why it works. If you want discretion, opinions and emotion… this isn’t for you. If you want structure, probability and discipline… this is how accounts actually compound. That’s everything you need to know about my quant fund and the 4 hour signal line that drives it. THANK YOU FOR YOUR ATTENTION TO THIS MATTER! — TJ #SP500 #SPY #QQQ #TSLA #PLTR #NVDA #AAPL #Bitcoin #Crypto #StockMarket

TraderJonesy

43,814 Aufrufe • vor 8 Monaten

this github repo should honestly be ILLEGAL for retail traders to have for free hedge funds pay quant PhDs six figures to find alphas, backtest them and stress-test every trade - this repo turns the whole quant desk into one sentence you type in a terminal it's called Vibe-Trading. built by a University of Hong Kong lab, 36.4k stars and it hit #1 repo of the day first understand how it works: > you type one sentence in plain English > a team of AI agents takes it: quant, crypto, macro, risk > they pull the data, write the strategy code and run the backtest > then they try to break it: Monte Carlo, Bootstrap, Walk-Forward > it tests 478 famous quant alphas in one line and tells you which are still ALIVE and which are DEAD > what survives exports straight to TradingView Pine Script or MetaTrader 5 > it's a full quant desk. it just runs on your laptop here is how to run it yourself for FREE: 1. open your terminal and install it: pip install vibe-trading-ai 2. run vibe-trading init and pick Claude Code as the brain. it runs on your Claude Code login, no separate API key 3. type one sentence: vibe-trading run -p "Backtest a BTC-USDT 20/50 moving-average strategy for 2024 and summarize return and drawdown" 4. watch the agents pull the data, write the code and run the backtest live 5. bench the alpha zoo in one line: vibe-trading alpha bench --zoo gtja191 --universe csi300 --period 2018-2025 --top 20 6. call a whole crypto desk: vibe-trading --swarm-run crypto_trading_desk '{"asset": "ETH-USDT", "timeframe": "1w"}' funding, liquidations and flow all go to a risk manager before anything moves 7. walk-forward it. if the edge only works on one window, it's not an edge 8. export what survives to TradingView: vibe-trading --pine 9. paper trade it with vibe-trading paper for a few weeks before you trust a single backtest i won't say anything more:

Сarm1ne

56,497 Aufrufe • vor 3 Tagen

For 60 years every computer ever built did the same thing. Stored information and retrieved it on demand. Jensen Huang just explained why that era is over and what replaces it. His framing was the clearest I have ever heard. Think about everything a computer has ever done for you. You wrote a document, you saved it to a file. You took a photo, it saved to a file. You recorded music, it saved to a file. When you wanted it back, you retrieved it from a disc. That is it. That is 60 years of computing. Store and retrieve. He pointed out something hiding in plain sight. We call them data centers. Not computer centers. Because we were not really computing anything meaningful. We were storing data that you retrieved based on what you tapped on your phone. Then he explained what changed. Every time you give AI a prompt today, the response is produced originally in real time. It is not retrieved from storage. It is generated fresh based on your specific context, your specific question, your specific moment. What you see is completely different from what anyone else sees because it was made for you. Jensen said every pixel you see, every word you read, every video you watch in the future will be originally generated. Not retrieved. 60 years of computing was about building better storage and faster retrieval. The entire paradigm flipped overnight. He said this simply: we went from a retrieval industry to a generation industry. And the machines that generate intelligence are what Nvidia builds. The buildings used to be called data centers because they stored data. Nobody has renamed them yet. But the job description changed completely.

Ihtesham Ali

30,235 Aufrufe • vor 4 Monaten