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)
:city_sunrise: A collection of links for free stock photography, video and Illustration websites
- stock-photos
- free-photos
- icon-font
- stock-photography
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.
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
A collection of small bash scripts for heavy terminal users
- bash
- currency-converter
- stock-prices
- weather
TranslatedMaster quantitative trading in 30 days (continuously updated)
A curated list of practical financial machine learning tools and applications.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
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.
TranslatedA curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | quantitative trading | quantitative investing
- systematic-trading
- quantitative-trading
- awesome-list
- trading
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
This repository contains content which will be helpful in your journey as a front-end Web Developer
- css
- javascript
- color-scheme
- frontend
Quant/Algorithm trading resources with an emphasis on Machine Learning
📈 如何用深度强化学习自动炒股
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.