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Implication, necessary and sufficient conditions are usually taught inadequately Here is how I would teach these concepts: blog.naz.ooo
for those who never heard of daily close rebalancing… the explanation is simple if you ever did algo trading. a lot of systematic strategies use the closing price as a primary data source. the higher the timeframe, the bigger the liquidity spike that gets compressed into a…
⚡️This is the hard truth people do not want to say out loud: You cannot compound when the system is subtracting faster than you can add. When inflation eats the base, taxes skim the flow, and real yields stay negative, the old compounding model becomes a museum artifact. That…
You mathmatically can't compound your way to wealth anymore... 20 years, 7% returns, 3% inflation, 40% taxes -- best case you 1.5x your investment. That is why the kids YOLO it... plain and simple.
started with flask and jinja back in the day then worked with next.js, svelte, what not and now, again: html, htmx, eta and javascript
Highly recommend checking out Michael Nielsens essay "augmenting long term memory". Funny excerpt "As an example, I've a (very short!) list of superficially charming and impressive colleagues who I would never work with, because I've consistently seen them treat other people…
I started using Anki for the first time last summer. At the time I was focused on learning Linux internals and was using it to store what I was learning in long term memory. I was curious if the Linux boot process which is about 85 steps is something I could ankify. My…
started journalling past 9 days and running my journal through chatgpt already see benefits from this, it told me i jump from one idea to the next too quickly and gave me a daily template to stick to where i keep myself accountable and stay on track i even created dedicated…
Alpha drop: Numerai forums. Numerai obfuscates all features before giving you data. feature_1... feature_1050, zero semantic meaning. Can't lean on fundamentals or papers, forced to discover pure statistical relationships. The forum is people trying to crack why things work…
looked at @WhopIO today very difficult to find products / services - it lacks UI filters most useful section is the pulse shows huge demand for clipping and trading groups it seems that 90%+ of stuff being sold on there is access to various trading groups
fully stabled for the first time since I have joined crypto in 2019 I have always traded my personal utility vs trying to time the market and that worked well most of the time I am not where I wish I would have been so it's a pretty strange feeling to sit in stables I am…
New article is out on how i drained 5 fig from Paradex (And abused their API), with more technical explanation, lot of footage. for those who wonder what i do on daily basis, and are curious and want to learn more, or get dopamine armv7l.substack.com/p/how-i-draine…
how is it that solana bloom sniper bot gets front-ran quite often are they selling their orderflow?
solana and its black-boxed closed-source everything kingdom of guesswork
this post is complete misinformation LLMs are lossy compressors! of *training data*. LLMs losslessly compress *prompts*, internally. that’s what this paper shows. source: i am the author of “Language Model Inversion”, the original paper on this
One of the quiet privileges of academia: you spend your days surrounded by some of the brightest people on the planet — all trying to understand something deeply. Not to sell it, not to exploit it, just to understand. That changes you.
farms on meteora who even falls for this he is literally buying and selling from the same wallet
The dependency graph for defining Brownian Motion in Lean4 is actually so cursed
Exactly. I learned a ton of math during my PhD, and it was fun and easy *because I had a goal* to use it in my research. Coding it up is also a great way to detect gaps in your understanding. Totally different from learning in class. Another common fallacy is that you need to…
This is empirically incorrect. Hundreds of thousands of fast.ai students have learned the required math for ML as they go. By *far* the biggest problem we've seen is from people who try to learn the math first. They learn the wrong stuff & have not context.
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