StatArb
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A lot of alphas I find that if you swap out volatility for volume in the formula the alpha looks the same.
volume and volatility are very correlated.
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Guys please go follow my second account @systematicls and my third account @QuantitativeArb
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Feature food for thought, detecting a state of breakouts makes breakouts more likely. We can see recently lots of jumps in this large cap coins chart.
To define a regime you just use "past number of breakouts on rolling window" and not an HMM, keep it simple (and ensure you have control over how we define the regime).
Standard breakout logic, perhaps some mix of strength of current bar + Bollinger bands.
Then from there we need to detect the regime. It's not quite breakout, more barts. Ie we shoot up and then after 5 bars we exit.
First two charts are from post 10/10 regime, another is from
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Trust me bro this time the CNN LSTM strategy will make money
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Q&A open for now on the blog chat. 560 replies so far. Many questions answered! Great reading for those looking to access industry knowledge for free :)
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My core principles of alpha development are:
1) Iteration speed
2) Accessibility
What does this mean?
The first is fairly clear. If you test 10 alphas a day and everyone else tests 2 every day then you will do a lot better than everyone else.
How do you make that happen?
Well first, let's write off data scraping and pre-processing. If you dont have scripts to do this automatically you are already NGMI. This is table stakes.
Next, get a data loading library. You shouldnt have to rewrite that glob.glob(folder_path) etc etc code. You should use:
load_data(
start_date=start_date,
end_date=end_date
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whip out desmos when I have to eyeball a utility function
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Elon will hide this because I mentioned the s word. Very high signal post
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Honestly at this point I’d rather see ads on Wikipedia than have half my screen be them begging for money
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very painful prompting chatgpt to make markout charts. it has no idea what they are
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Good practice to have tqdm bars on things, with a good smoothing.
Let's you know ahead of time how long something should take and plan around it.
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Ever since I read this book as a kid I knew I was destined to run cross sectional strategies harvesting returns in excess of the market
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Sometimes when you see a bar close on 1 min where it’s very anti trend or generally a high signal bar you’ll see a big lurch in price right after it closes basically as the 1 min trading frequency bots trade it. Turn of bar seasonality is well known but I think there’s some conditional behaviour here… food for thought on quoting logic perhaps
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fuck t+3h to t+6h. worst forecast horizon ever
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If you got to Japan, go straight to Kyoto / rural onsens
Been multiple times and Kyoto is the real special specifically "japanese" place. Tokyo just feels like any other city, not that exciting
Rural onsens are insanely calming, amazing value too. Fidn a place with no tourists
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Always ensure your .resample() is:
.resample("X", label="right", closed="right")
By default it's left so the start of the period is the timestamp (instead of the end of it)!
Easy way to produce lookahead is by forgetting this. Most LLMs will not add this
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