Helping traders, asset managers, and financial professionals build tools with Python. Offering free tutorials, paid consulting, mentorship programs, and more.quantmentor.com Help Me Help You →Joined January 2024
The answer is you don't need AI. No HMM needed
You can get basically the same result by finding a feature that captures your regime (hurst, funding rate avg, 1y % ret, VIX, ATM vol), run .describe() and pick some quantile threshold and if over thresh_upper we are in regime.
The best traders aren’t “equity traders”, “futures traders” or “crypto traders”, they are simply: traders
They are agile, unattached, and gravitate to the markets which offer the greatest edge
Contrary to what you are told on this platform, the best trading strategies don’t revolve around interpreting candlestick patterns on a chart
Real edge comes from mispricings, inefficiencies, and arbitrage
A few weeks ago I launched quantgpt.chat for users of the popular Python library VBT PRO: vectorbt.pro
So far, it has served over 1,300 messages so far to over 300 unique users. For a community of less than 900 people, I think this solid adoption rate!
Allow me to let you in a little secret. Finding high capacity alpha is indeed extremely hard. Some of the brightest minds in the world on working on this. As a retail trader - you simply cannot compete. However, there are a lot of low capacity strats that simply will not…
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