FinLab was founded by Han Cheng-you in 2019 and is headquartered in Taiwan, China. It is a quantitative investment and education platform. The platform aims to promote knowledge of quantitative investment and practical experience in Python programming, teaching users how to create their own investment strategies using Python.
The main products and services of FinLab can be summarized as follows:
FinLab Finance Lab: Provides a quantitative investment education and platform, including financial knowledge and strategy sharing, VIP articles and video tutorials, and VIP community building.
FinLab Taiwan Stock Backtesting Platform: Offers a Python backtesting platform for the Taiwanese stock market, including a stock database and strategy examples, providing tools for users to backtest and optimize investment strategies. The platform also provides a strategy dashboard and automatic order placement functions to facilitate investment transactions. Additionally, FinLab has established a Discord community for communication and support.
FinLab's courses are mainly divided into the following series, conducted through VIP articles and video tutorials:
Python Beginner's Tutorial: Designed for Python beginners, teaching basic Python syntax, data structures, functions, modules, classes, etc., and how to use Python for data analysis and visualization.
Stock Strategies: Targeted at stock investors, introducing stock selection strategies based on fundamental, technical, and macroeconomic factors, and teaching how to use Python for backtesting and optimization.
FinLab YouTube: For financial enthusiasts, sharing topics such as financial knowledge, investment ideas, and market analysis, while introducing how to use FinLab platforms and tools for quantitative investment.
FinLab is a platform providing Python quantitative trading for Taiwan stocks, and its main functions include:
Providing a complete database of stock prices, revenue, chips, and financial reports, enabling users to analyze the Taiwanese stock market with rich data.
Providing example code to support strategy development, allowing users to write diverse strategies with simple Python syntax.
Providing a strategy dashboard where users can monitor the performance, risk, and transaction records of their strategies online.
Offering video tutorials, a VIP community, and a Discord discussion group where users can learn Python and investment knowledge, and interact and discuss with other users.
Providing an automatic order placement function for strategies, enabling users to have the program automatically decide the timing for buying and selling stocks.
