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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
WonderTrader
14 documents
Alphalens
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

22,592 documents

SuperMind

The post outlines a stock screen focused on shares whose codes begin with 60, using data from 2021. It presents this universe as relatively large-cap and liquid, then proposes adding financial filters such as a current ratio threshold and a price-to-earnings…

EquitiesChina marketsFactor investingBacktesting
SuperMind

The screen selects Chinese stocks using three conditions: closing price below 12, at least two limit-up days within the previous ten days, and today’s net buying share above 5%. The accompanying explanation interprets repeated limit-ups as evidence of…

China marketsEquitiesMomentumBreakout
SuperMind

This proposed A-share stock screen combines three conditions: RSI below 65, the ratio of external to internal trading volume at least 1.3, and circulating market capitalization above 10 billion yuan. The article presents the combination as a way to mix a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen selects Chinese equities whose codes begin with 60, whose intraday high-low range relative to the open exceeds 1, and whose institutional-fund flow measure is positive. The accompanying formula aggregates positive net fund amounts over five…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

The document describes a MetaTrader-style expert advisor that combines Standard Deviation Channel Lines with two moving averages to trade in the direction of a trend. The channel is intended to act as a filter, and the EA also offers configurable take-profit…

ForexEquitiesTechnical indicatorsTrend following
BigQuant

The article reviews a method for evaluating active mutual funds by adjusting performance first for factor exposures and then for the characteristics of stocks held. It begins with Carhart four-factor alpha, then uses either a cross-sectional regression on…

EquitiesFactor investingStatisticsPortfolio construction
SuperMind

This post presents a stock-selection screen for companies in the metaverse theme. It requires yesterday’s price to be above the 250-day moving average and a positive recent return. The accompanying examples outline selecting members of a thematic group,…

EquitiesMomentumTrend followingTechnical indicators
SuperMind

This Chinese-language post describes an equity screen that ranks candidates by volume ratio, filters for circulating market value at or below 5.5 billion yuan, and requires the 20-day moving average to exceed the 120-day average. The stated rationale is to…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This document presents a Chinese stock screen that selects securities whose daily high-low range exceeds 1% of the previous close, limits the universe to codes beginning with 60, and ranks candidates by money-flow strength in descending order. The article…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese equity screening idea combines a turnover band, a robotics theme, a small-float-market-cap ceiling, and three consecutive declining sessions. The article frames the three down days as a sign of recent weakness and adds that technical condition…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screen combining turnover, parent-attributable net profit growth, and a business keyword filter. It selects stocks with turnover between 3% and 12%, profit growth above 20% and no more than 100%, and operations…

EquitiesChina marketsFactor investingRisk management
SuperMind

This Chinese stock selection idea combines a turnover range of 3% to 12% with first-level bid volume exceeding ask volume and simultaneous bullish crossovers in three indicators, with MACD, KDJ, and RSI given as examples. The post includes sample formula and…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This Chinese equity screening idea selects stocks with turnover between 3% and 12%, an external-to-internal traded volume ratio above 1.3, and a candle shape described as a rounded arc. Its example formula operationalizes the shape using the high, low, and…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

The document describes a Chinese A-share selection rule that looks for stocks with an intraday high-low range above 1%, excludes Beijing-listed shares, and seeks positive weekly price movement. It gives illustrative formula and Python-style examples, then…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

This brief summary of a factor-investing report reviews tests of capital-structure and solvency measures. For nine capital-structure factors, the report compares grouped portfolio performance, long-short returns, information coefficients, and Fama-MacBeth…

EquitiesFactor investingStatisticsPortfolio construction
SuperMind

This Chinese-language post describes a stock selection rule combining daily price range, weekly MACD, and the prior day's price limit status. It seeks stocks with a daily high-low range above 1% of the previous close, weekly MACD above zero, and a prior…

EquitiesTechnical indicatorsChina marketsRisk management
BigQuant

The document summarizes research on whether actively managed equity funds earn stronger future returns when their trading increases the technological similarity of their holdings. It describes Active Technological Similarity (ATS), built from the overlap in…

EquitiesFactor investingStatisticsPortfolio construction
SuperMind

This document describes a stock screen combining a daily price-range condition, a low share-price cutoff, and a positive value for a field associated with beverage and alcohol imports and exports. The formula reference also includes a minimum trading-amount…

China marketsEquitiesTechnical indicatorsStatistics
SuperMind

The document outlines a Chinese equity screening idea that combines membership in the metaverse theme with positive institutional-flow readings and a condition labeled as the start of a strong upward move. It presents a formula reference and a Python example…

China marketsEquitiesMomentumTechnical indicators
BigQuant

This summary compares financial growth signals and subsequent stock returns in overseas and Chinese markets. It defines asset growth as changes in balance-sheet items, including total assets, current assets, and inventory, and profit growth through measures…

China marketsEquitiesFactor investingStatistics
SuperMind

This Chinese stock-selection post describes a screen combining three conditions: daily price amplitude above 1, an upward-spreading moving-average signal, and prior-day turnover above 60 million. The intended candidates have noticeable price movement, an…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document introduces a proposed study of Chinese stock price-limit events. It says the work explains the limit-up mechanism, classifies stocks that reach the upper price limit, and examines returns after those events. The stated research direction is to…

EquitiesMachine learningStatistics
SuperMind

This Chinese equity screening idea combines a daily high-low range of at least 1%, a volume ratio between 1.5 and 6, and a requirement that the stock had three consecutive limit-up closes on the prior days. The article presents the range and volume…

EquitiesMomentumVolatilityTechnical indicators
SuperMind

This Chinese equity screening rule selects stocks with turnover between 3% and 12%, an opening price within roughly 5% of the ten-day closing-price average, and first-level bid volume greater than first-level ask volume. The article interprets turnover and…

EquitiesTechnical indicatorsMarket microstructure