Skip to content

Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
TqSdk
86 documents
Quantpedia
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Binance API docs
45 documents
Quantopian lectures
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

4,510 documents

SuperMind

This Chinese equity-screening post selects stocks whose daily amplitude exceeds 1, that recorded at least two limit-up events in the past 500 days, and that had at least one such event in the past 25 days. It frames the screen as a way to find stocks with…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock-screening post describes selecting metaverse-related equities with prior-day turnover above 8%, then ranking qualifying stocks by a measure of money flow. The stated rationale combines sector interest, trading activity, and capital flows…

EquitiesChina marketsSentimentRisk management
SuperMind

The document describes an equity selection filter with three conditions: a 14-period RSI below 65, first-level bid volume greater than ask volume, and an opening price change between minus two and plus five percent relative to the prior close. It presents…

EquitiesTechnical indicatorsMarket microstructureSentiment
BigQuant

This July 2020 market commentary assesses whether a brief cooling in China’s hot A-share market signaled an end to the rally. It frames the issue as a balance between incoming capital and potential selling, identifying new fund launches, northbound foreign…

China marketsEquitiesSentimentPortfolio construction
SuperMind

This Chinese-language note describes an equity screen combining three conditions: a 14-period RSI below 65, membership in the beverage and alcohol import-export industry, and positive afternoon large-order net inflow. Its sample rules also require a daily…

EquitiesTechnical indicatorsSentimentRisk management
Amberdata research

The article describes how to interpret crypto derivatives volume and open interest across exchanges, currencies, instruments, and contract expirations. Exchange volume can help compare recent trading activity and liquidity, while open interest shows the…

CryptoFuturesPerpetual futuresExecution
SuperMind

The document describes a simple equity screen that selects stocks with turnover between 3% and 12%, restricts the universe to companies listed in 2021, and ranks candidates by individual-stock popularity. Its stated rationale is to combine moderate trading…

EquitiesSentimentStatisticsRisk management
SuperMind

The proposed screen selects stocks associated with the metaverse theme, requires a positive institutional-flow measure, and compares reported revenue across two years. The stated revenue test is that the later year’s revenue exceeds the earlier year’s by a…

China marketsEquitiesEvent-drivenSentiment
SuperMind

This stock screen combines a positive MACD condition with exclusions based on company classification and a ranking of capital strength. The accompanying examples use Chinese equities and describe filtering securities, checking capital-flow data, and…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This screening idea combines three conditions: membership in the metaverse theme, positive net buying attributed to major participants during the auction, and three consecutive declines in closing prices. The article frames the falling prices as a possible…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This Chinese stock-screening post describes a short-term filter combining three signals: amplitude above one, a prior-day 9:15 indicative matching price at the limit-down level, and large-order net volume above 0.05 for at least three consecutive days. It…

EquitiesChina marketsSentiment
SuperMind

This Chinese-language post describes a stock selection screen combining three conditions: a 14-period RSI below 65, best-bid volume greater than best-ask volume, and seven consecutive declining sessions. The rationale is to find stocks that have recently…

EquitiesMean reversionTechnical indicatorsSentiment
SuperMind

This note outlines an A-share stock screen using a turnover range of 3% to 12%, a market capitalization below 10 billion yuan, and a condition that the company is not loss-making. Eligible stocks are then meant to be ranked by individual-stock heat, with the…

EquitiesFactor investingSentimentChina markets
BigQuant

This research summary proposes using online search interest about large-cap and small-cap stocks as a proxy for investor sentiment. It argues that changes in this attention measure are positively related to market moves and may lead them, then uses sentiment…

EquitiesSentimentMomentumChina markets
SuperMind

This article outlines a short-term stock-screening idea based on activity in the Chinese opening call auction. It focuses on changes from 9:20 to 9:25, monitoring auction volume and the displayed quantities at the first and second bid levels. The author…

EquitiesMarket microstructureHigh-frequency tradingSentiment
SuperMind

This Chinese A-share screening proposal combines three filters: a 14-period RSI below 65, membership in the beverage and alcohol import-export industry, and ranking by a measure of individual-stock attention. Its rationale is to pair a technical condition…

EquitiesTechnical indicatorsSentimentRisk management
SuperMind

This note outlines a Chinese equity screen using three conditions: daily amplitude above 1, a closing price of 18.5 yuan, and positive afternoon large-order net inflow. It presents the combination as a way to find stocks showing price movement and buying…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

The document describes a Chinese stock screen combining amplitude above 1, a prior-day 9:15 matched price at the limit-down price, and circulating market capitalization between 5 billion and 10 billion yuan. It gives indicator conditions for each filter and…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This document outlines a Chinese stock screen selecting companies associated with the metaverse theme, positive institutional-flow readings, and a rise below 6% around the 9:25 opening indication. The stated rationale is to focus on a growth-oriented…

EquitiesChina marketsEvent-drivenSentiment
BigQuant

This study constructs a Chinese equity sentiment indicator from posts and comments on an investor forum. After cleaning and tokenizing roughly a year of text, it uses word frequency and visual inspection to assemble a sentiment lexicon. Stronger positive or…

China marketsEquitiesSentimentBacktesting
BigQuant

This overview describes eight groups it presents as influential in China’s A-share market: foreign investors, short-term speculative funds, social security and insurance funds, securities firms’ proprietary desks, corporate insiders, public funds, and…

EquitiesChina marketsSentimentMarket microstructure