Financial Expanse @FinExpanse
Financial Expansion way Joined November 2020-
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"Whenever he saw a dollar in another man's hands he took it as a personal grudge..." "…I hate to write my name on the back of a check almost as bad as I do on the front." O.Henry theguardian.com/world/2021/jun…
Financiers are always forced to act in conditions of incomplete information or deception. A good financier knows how to intuitively find the point of a guaranteed solution. In the language of quantitative finance, it is to be in the positive zone beyond the phase transition point
@FunkyHedge @Quant_Investor Nice publication with academic decorations. But decomposition into components, tricks with kernels always gave very good results. Better and faster with online KPCA tricks. #AI #MachineLearning github.com/google-researc…
@FinQuantBlock @AIMLDeveloper @mikeharrisNY @lopezdeprado @spyrosmakrid Our favorite PCA with kernel regression outperforms deep learning tests, RBF Net, and all others ARIMA etc. In the picture, one of the tests of a random combination of functions with randomly added distortions. But it's not difficult to try another dataset.
RT @AppliedMLdev : Performers. Using only linear space and time complexity. It looks like that's all. #AI #MachineLearning arxiv.org/abs/2009.14794
Cryptocurrency web-scraping implied sector classifications researchgate.net/profile/Babak-…
New Command driven stock screening, technical analysis / prediction open-source terminal in Python using APIs or scraping low-cost or free data sources github.com/DidierRLopes/G…
Speculation is the highest degree of financial mastery.
@AppliedMLdev @AppliedFinMeth Exactly
Last word in financial quantitative analysis
Our book, #BigData #Science in #Finance (bigdatafinancebook.com) is here next week! In addition to #quant #applications, latest #research and ready-to-use #code, you can now get a shirt, too! bdfbook.com/#merchandise #fintwit #fintwitter
@EmanuelDerman The principles of Finance have remained unchanged since the 15th century: one-way money distribution. Thus, it is important to understand the domain area. However, most people including economists are only interested in money, not in what they serve. This is the main difficulty.
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