@deltatrendtrading: Part 2 | Regime-switching Monte Carlo simulation allows us to capture the regime-dependence, and clustering nature of trades when we resample. We start by tagging every single trade in the back test with a regime label, then construct separate return distributions for each regime’s trades. We compute transition probabilities and normalize to a transition matrix for market regimes. Then, to actually create the equity paths, we pass through the transition matrix to decide which distribution we’re sampling from, then randomly sample a trade from that distribution and tack its return onto the equity path — so on and so on. #quant #quantfinance #quanttrading #montecarlo

Thomas
Thomas
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Thursday 09 April 2026 01:00:38 GMT
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strateda
Strateda :
Perfect, I like to combine Monte Carlo with Walk-forward Optimization to detect regime shifts and risk management framework.
2026-04-17 16:11:09
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tiltoker13
tiltoker1 :
What software are you using
2026-04-17 03:07:35
2
polar54345
Polar54345 :
Where do you find the papers you talk about? I’d love to read some on my own. Also love your stuff
2026-04-09 01:06:09
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kwamii__
Kwamii X :
What technique/method/algorithm do you use for régime segmentation ?
2026-04-13 10:31:13
2
orion_trader
Orion :
mean price return is a noisy estimator, now mean p&l return 😩, this is a super nice to have approach
2026-04-21 18:25:28
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