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https://github.com/upstarter/awesome-wealthtech

An Awesome lists of wealth-tech resources for quant traders and investors
https://github.com/upstarter/awesome-wealthtech

List: awesome-wealthtech

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An Awesome lists of wealth-tech resources for quant traders and investors

Host: GitHub
URL: https://github.com/upstarter/awesome-wealthtech
Owner: upstarter
License: cc0-1.0
Created: 2021-01-11T17:44:30.000Z (almost 4 years ago)
Default Branch: main
Last Pushed: 2022-01-10T21:00:25.000Z (almost 3 years ago)
Last Synced: 2024-05-20T05:13:21.815Z (7 months ago)
Homepage:
Size: 73.2 KB
Stars: 1
Watchers: 1
Forks: 1
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- License: LICENSE

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ultimate-awesome - awesome-wealthtech - An Awesome lists of wealth-tech resources for quant traders and investors. (Other Lists / PowerShell Lists)

README

        # Awesome WealthTech [![Awesome](https://awesome.re/badge-flat.svg)](https://github.com/sindresorhus/awesome)

> A curated list of awesome wealthtech resources for quantamental traders and investors.



  

  


  

    Check out my open source project Automata for building trading systems. Please feel free to contribute.

  

  






  Follow the CryptoWise.ai Twitter account for updates on the crypto ecosystem.





  _{Check out my blog and follow me on Twitter.}






## Contents

  - [Financial API's and Data Services](#financial-apis-and-data-services)

  - [Financial Analysis](#financial-analysis)

    - [Technical Analysis](#technical-analysis) - The study of financial assets from a data and quantitative perspective

      - [Quant Methods](#quant-methods)

        - [Deep Learning](#deep-learning)

        - [Monte Carlo Methods](#monte-carlo)

      - [Charting](#charting)

      - [Backtesting](#backtesting)

    - [Fundamental Analysis](#fundamental-analysis) - The study of financial assets from a macro and micro economic perspective

      - [Financial Statements](#financial-statements)

      - [Macroeconomics](#macro-economics)

        - [Macroeconomic Indicators](#macro-economic-indicators)

      - [Microeconomics](#micro-economics)

    - [Quantamentalism](#quantamentalism) - The study of financial assets from a mix of quantitative and economic perspectives

    - [Monte Carlo Methods](#monte-carlo-methods)

    - [Machine Learning](#machine-learning)

      - [Supervised Learning](#supervised-learning)

        - [Linear Models](#linear-models)

        - [Time Series Models for Volatility Forecasting](#time-series-models)

        - [Random Forests](#random-forests)

        - [Deep Learning](#deep-learning)

      - [Unsupervised Learning](#unsupervised-learning)

        - [Reinforcement Learning](#reinforcemnt-learning)

          - [Bandit Algorithms](#bandit-algorithms)

          - [Q-learning](#q-learning)

          - [Deep Reinforcement Learning](#deep-reinforcement-learning)

    - [AI Trading Tools](#ai-tools)

      - [Automata](#automata)

  - [Programming Languages and Frameworks used in Finance](#programming-languages)

    - [General Purpose](#general-purpose)

    - [Statistical & Mathematical](#statistical-and-mathematical-languages)

    - [Platform Specific](#platform-specific-languages)

    - [Frameworks](#frameworks)

      - [OpenAI Gym](#open-ai-gym)

      - [Scikit-learn](#scikit-learn)

  - [Cryptoassets](#cryptoassets)

  - [Portfolio Theory](#portfolio-theory)

  - [Portfolio Optimization](#portfolio-optimization)

  - [Books](#books)

    - [Technical Analysis Books](#technical-analysis-books)

    - [Fundamental Analysis Books](#fundamental-analysis-books)

  - [Media](#media)

    - [Social Media](#social-media)

    - [Financial News](#financial-news)

  - [Blogs](#blogs)

  - [Learn](#learn)

  - [Security](#security)

  - [Crowdfunding](#crowdfunding)

## Financial API's and Data Services

### Mass Market Data Services

  - [yFinance (Yahoo finance)](#yahoo-finance)

  - [Bloomberg](#bloomberg)

  - [Capital IQ](#capital-iq)

  - [Reuters](#reuters)

  - [Google Finance](#google-finance)

### High Tech Saavy Data Services

  - [Quandle](#quandle)

  - [Quantopian](#quantopian)

  - [Zipline](#zipline)

  - [Alpha Vantage](#alpha-vantage)

  - [Alpha Trading Labs](#alpha-trading-labs)

  - [Xignite](#xignite)

  - [Ycharts](#ycharts)

  - [Zacks](#zcharts)

  - [twelvedata](#twelvedata)

  - [Intrinio](#intrinio)

### Alternative Data

  - [Web Scraping](#web-scraping)

  - [Social Sentiment](#social-sentiment)

  - [Satellite](#satellite)

  - [GeoLocation](#geo-location)

  - [Web Data and Traffic](#web-data-and-traffic)

  - [Data Brokers](#data-brokers)

  - [Infrastructure and Interfaces](#infrastructure-and-interfaces)

  - [Consultants](#consultants)

  - [Email and Consumer Receipts](#email-and-consumer-receipts)

  - [Sell Side](#sell-side)

  - [Public Data](#public-data)

  - [App Usage](#app-usage)

  - [Weather](#Weather)

  - [Other](#other)

## Technical Analysis

### Charting

- [Trading View](#trading-view)

### Backtesting

## Fundamental Analysis

### Financial Statements

### Macroeconomics

#### Current Growth Sectors

  - [Tech](https://www.github.com/upstarter/automata)

  - [Healthcare](https://www.github.com/upstarter/automata)

  - [Quantum Computing](https://www.github.com/upstarter/automata)

  - [Biotech](https://www.github.com/upstarter/automata)

  - [AI & Robotics](https://www.github.com/upstarter/automata)

#### Current Value Sectors

  - [Overseas Shipping](#overseas-shipping)

  - [Basic Materials / Commodities](#commodities)

  - [Travel](#travel)

  - [Luxury Goods](#luxury-goods)

#### Macroeconomic Indicators

##### Big Four "Fed Preferred" Indicators

  - [Unemployment](https://www.bls.gov/charts/employment-situation/civilian-unemployment-rate.htm)

  - [Real Income](https://www.github.com/upstarter/automata)

  - [Industrial Production Index](https://www.github.com/upstarter/automata)

  - [Real Retail Sales](https://www.github.com/upstarter/automata)

##### Leading Indicators

   - [Conference Board Leading Indicators](https://www.github.com/upstarter/automata)

    - [Leading Indicators](https://www.github.com/upstarter/automata)

    - [Average weekly hours, manufacturing](https://www.github.com/upstarter/automata)

    - [Average weekly initial claims for unemployment insurance](https://www.github.com/upstarter/automata)

    - [Manufacturers’ new orders, consumer goods and materials](https://www.github.com/upstarter/automata)

    - [ISM® Index of New Orders](https://www.github.com/upstarter/automata)

    - [Manufacturers’ new orders, nondefense capital goods excluding aircraft orders](https://www.github.com/upstarter/automata)

    - [Building permits, new private housing units](https://www.github.com/upstarter/automata)

    - [Stock prices, 500 common stocks](https://www.github.com/upstarter/automata)

    - [Leading Credit Index™](https://www.github.com/upstarter/automata)

    - [Interest rate spread, 10-year Treasury bonds less federal funds](https://www.github.com/upstarter/automata)

    - [Average consumer expectations for business conditions](https://www.github.com/upstarter/automata)

    - [Auto Sales](https://www.github.com/upstarter/automata)

  - [Lagging Indicators](https://www.github.com/upstarter/automata)

  - [Coincident Indicators](https://www.github.com/upstarter/automata)

- [Fed Activities](https://www.github.com/upstarter/automata)

### Microeconomics

## Machine Learning

  - [Supervised Learning](https://www.github.com/upstarter/automata)

    - [Linear Models](https://www.github.com/upstarter/automata)

    - [Time Series Models for Volatility Forecasting](https://www.github.com/upstarter/automata)

    - [Random Forests](https://www.github.com/upstarter/automata)

    - [Deep Learning](https://www.github.com/upstarter/automata)

      - [Pytorch](https://www.github.com/upstarter/automata)

      - [Tensorflow/Keras](https://www.github.com/upstarter/automata)

  - [Unsupervised Learning](https://www.github.com/upstarter/automata)

    - [Reinforcement Learning](https://www.github.com/upstarter/automata)

      - [Bandit Algorithms](https://www.github.com/upstarter/automata)

      - [Q-learning](https://www.github.com/upstarter/automata)

      - [Deep Reinforcement Learning](https://www.github.com/upstarter/automata)

## Programming Languages used in Finance

### General Purpose

  - [Python](www.python.com)

  - [C++](https://www.github.com/upstarter/automata)

  - [Elixir & Erlang](https://www.github.com/upstarter/automata)

### Statistical & Mathematical

  - [Julia](https://www.github.com/upstarter/automata)

  - [R](https://www.github.com/upstarter/automata)

  - [Matlab](https://www.github.com/upstarter/automata)

### Frameworks

  - [OpenAI Gym](#open-ai-gym)

  - [Scikit-learn](#scikit-learn)

  - [Python Tools]

    - [numpy](https://www.github.com/upstarter/automata)

    - [scipy](https://www.github.com/upstarter/automata)

    - [pandas](https://www.github.com/upstarter/automata)

    - [scikit-learn](https://www.github.com/upstarter/automata)

    - [Keras / TensorFlow](https://www.github.com/upstarter/automata)

    - [XGBoost](https://www.github.com/upstarter/automata)

## Media

### Social Media

- [YouTube](#media-youtube)

- [Discord](#media-discord)

- [DataGraphics](#data-graphics)

  - [Visual Capitalist](#visual-capitalist)

### Financial News

- [Wall Street Journal](#wsj)

- [Bloomberg](#bloomberg)

- [Reuters](#reuters)

- [Yahoo Finance](#yahoo-finance)

### Blogs

- [Abnormal Returns](#abnormal-returns)

- [The Capital Spectator](http://www.capitalspectator.com/)

- [Meb Faber](https://mebfaber.com/)