Introduction to Python, quantitative strategies, quantitative knowledge summary stickers

The purpose of the ricequant quantification community is to allow those who are interested in quantifying to collide and learn useful and practical quantitative knowledge in sharing and arguing.
Depending on your contribution to the community and the quality of the discussion, from the introduction of programming to technical indicators to multi-factor stock selection, financial data analysis, including a lot of knowledge.

I am here to organize the next community to send out the content, and classification, so that it is easier for everyone to find the corresponding knowledge points. This post is constantly updated

Thank you so much for a lot of interesting discussions, because of the length of the reasons are not listed. Its growth, depends on the contribution and efforts of everyone!

The following begins poison:

Getting Started with Python
-Python basic syntax and basic data types

• Python control flow and basic data structure

• [Scattered sand] Python Scientific Computing Series-Station B link

• Write more Python-style code to improve coding efficiency

• Data analysis teaching video of scattered sand-python

• Some introductory learning materials for Python

• Two basic data structures for Pandas series and Dataframe

Ricequant Platform Introductory Teaching
-[ricequant Teaching 1]-Introduction to Ricequant and strategy trading IDE

• [Ricequant Teaching 2]-start writing the first quantitative trading strategy

• [Ricequant Teaching 3]-backtesting The first quantitative trading strategy

• [Ricequant Teaching 4]-using ta-lib to calculate technical indicators in a python strategy

• [Ricequant Teaching 5]-fundamental inquiry to explore value investment & Screener functions

• [Ricequant Study Teaching 1]-Introduction to the basic functions of the study platform

Technical analysis indicators and the use of TALIB
-Use ta-lib to calculate technical indicators in a python strategy

• SMA starter Strategy-moving averages

• Stoch (KD indicator)

• Average trend index ADX and trend index DMI

• RSI indicator

• Trend indicator Share-Aroon indicator

• Bollinger Bands Application

* * [value investment] [Financial analysis] [fundamentals] * *

• Explore value investments & Screener features with fundamental queries

• Graham number Graham Digital value investment law

• Greenblatt Value Investment Magic formula

• Strategy-Michael Hi-Profit investment

• Investment growth Companies

• Growth investment combined with market technical index strategy

• Reverse strategy backtesting on ricequant with stock price-earnings ratio data

• Fundamentals, high yield intersection strategy

• Fundamental selector: Piotroski F-score Ranking System

• Multi-Factor strategy (I.)

Classic strategy

• The full Python version of the Turtle trading system

• Trend strategy Small trial sledgehammer, the construction of turtle trading system

• Pairing Trading-paper-version

• Paired trades (revised Version)

• The sharp weapon of the market--grid trading strategy

Wheel motion strategy, ETF
-Less Correlated ETF portfolio strategy

• ETF Wheel Action strategy

• ETF rotation strategy in a-share market

• CSI 300ETF Arbitrage

• A-Share ETF secret History-turn

Momentum, trend, reversal
-Worst-k Strategy

• Dual Thrust Trading Strategy

• A grid trading method that is less effective than imagined

• Trend or reversal-some thoughts on MFI and RSI

Public opinion Big Data
-Snowball-Snowball roll up-in the end whether we can rely on public opinion events to make money

• Hold a card together, a-share brand concept strategy sharing

Papers, books, reading materials, etc.

• [Paper sharing] classical academic papers in the field of quantitative trading

• Start your journey of quantification | Quantify Investment Learning Resources

• [Python tutorial] Some python introductory learning materials, continue to add ...

• [Paper Share] 101 x Alpha-world Quant

• [Learning materials] Python, R language, econometrics, investment books, research reports, etc. (Book+video)

Introduction to Python, quantitative strategies, quantitative knowledge summary stickers