Search Results for "sec"

...Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms, how to extract tradeable signals from financial text data like SEC filings, earnings call transcripts or financial news. Using deep learning models like CNN and RNN with financial and alternative data, and how to generate synthetic data with Generative Adversarial Networks, as well as training a trading agent using deep reinforcement learning.

...(PS: C++ multicore 6 second). Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). Surprise, same code in JavaScript for M2 chip in Safari: 12,5 sec single core and 3,3 sec multi core. Python version with numba and numpy on MacOS with M2: 3,78 sec, Intel Ultra 5 225F Linux Fedora 43 GNOME(*Intel): 3,64 sec., W11Intel: 3,73; Faster style in python, MacOS M2: 1,81 sec, *Intel & W11Intel: 2,02 sec.; Ultra faster style in python, MacOS M2: 1,24 s - 1,26 s - 1,34 s, *Intel: 1,48 s - 1,50 s, W11Intel: 1,53 - 1,63.

This library has complementary features to the "cmath" library. Here we present functions for trigonometric calculations (cot, sec, csc, acot, asec, acsc) and hyperbolic (coth, sech, csch, acoth, asech, acsch) and exponential (nthrt) calculations and more. The results are presented in radians. For results in degrees multiply 180/M_PI by radians or use function torad. For degrees multiply M_PI/180 or use todeg. For more libraries, go to: https://sourceforge.net/u/augustomanzano/profile. ...

Aimed for web app security with hope of quick reference. WAS papers are scattered among hundreds of resources, some of which are likely to be broken links in some time. All sec pros wish their papers reach the whole world widely for perfect security.