Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
TranslatedSome interesting examples of python crawlers that are friendly to beginners. Mainly crawls websites such as 淘宝 (Taobao, "searching for treasure"), 天猫 (Tmall, "sky cat"), 微信 (WeChat, "micro message"), 微信读书 (WeChat Reading), 豆瓣 (Douban, "bean petal"), and QQ.
:city_sunrise: A collection of links for free stock photography, video and Illustration websites
- stock-photos
- free-photos
- icon-font
- stock-photography
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
A curated list of practical financial machine learning tools and applications.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Quant/Algorithm trading resources with an emphasis on Machine Learning
A curated list of amazingly awesome free (stock) photo resources inspired by all the other awesomes.
Chapter 4: Stock Tracking app with Ionic 2 and Yahoo API
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.