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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
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

29,558 documents

SuperMind

This note combines three stock-selection criteria: a 2019 dividend payout ratio above 25%, circulating market capitalization between 5 billion and 10 billion yuan, and a daily increase in holdings above 5%. It interprets the positioning measure as a possible…

EquitiesFactor investingRisk managementChina markets
SuperMind

This stock screen combines three conditions: at least five moving averages are described as overlapping, the 20-day average is above the 120-day average, and the company has a market capitalization below 10 billion yuan with no losses. The note interprets…

EquitiesTechnical indicatorsTrend followingRisk management
SuperMind

This Chinese-equity screening rule selects shares with turnover between 3% and 12%, an appearance on the previous day’s trading leaderboard, and return on equity above 15% for five consecutive years. It pairs a measure of sustained profitability with a…

EquitiesFactor investingChina marketsRisk management
SuperMind

This stock selection approach combines a 15-minute MACD condition, described as a shortening green histogram, with MACD above its zero line and revenue in 2021 exceeding revenue in 2018 by more than a stated threshold. The provided implementation examines…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This note describes a Chinese-equity screen combining a relative strength index below 65, turnover between 3% and 12%, and a dividend payout ratio above 25% for 2019. The stated aim is to find shares with moderate trading activity, a relatively low RSI…

EquitiesTechnical indicatorsRisk managementChina markets
MQL5 code base

JK Synchro is an expert advisor that compares opening and closing prices across a configurable range of candles to decide when to open positions. The entry process is gated by three controls: the existing position count must remain below a candle-analysis…

Technical indicatorsRisk managementPosition sizing
FMZ forum

The article explains why backtests are approximations of live trading and compares simple bar-by-bar for-loop systems with event-driven systems that process market data, signals, orders, and fills through an event queue. For-loop backtests are easy to build…

BacktestingExecutionRisk managementMarket microstructure
vn.py community

The report examines how factor evaluation can guide factor inclusion and, especially, factor weights in a multi-factor return model. It argues for evaluating single factors through optimized portfolios with controlled risk exposures, aiming to make measured…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

This note describes a short-term Chinese stock screen using daily amplitude above 1, a named morning-star pattern, and more than two limit-up days within ten days. It frames large price swings and repeated limit-ups as signs of strong near-term price action.…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a Chinese equity screen that combines a turnover-rate band of 3% to 12%, a 2021 listing year, and a “today control” reading above 21. It interprets the control measure as a proxy for buying pressure and says the turnover band is meant to…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

This research summary examines whether outside demands on independent directors weaken their oversight and advice. It identifies personal events and pressures at other companies, such as illness, leadership changes, major transactions, investigations, or…

EquitiesStatisticsRisk management
FMZ forum

This strategy uses a percentage distance from recent highs and lows to identify possible reversals, aiming to avoid relying on fixed price-point thresholds that may behave differently as an instrument’s price changes. It does not first classify the market as…

Mean reversionTechnical indicatorsBacktestingRisk management
pyfolio

These release notes describe additions to pyfolio, a toolkit for evaluating trading portfolios. New analyses include performance attribution to common factors, factor and sector risk exposures, rolling volatility, capacity, bootstrap uncertainty in…

Portfolio constructionRisk managementStatisticsBacktesting
SuperMind

This Chinese-language post describes a short-term A-share screening rule. It selects stocks with daily amplitude of at least one percent, a volume ratio between 1.5 and 6, and a current low below the previous day's low. The accompanying explanation treats…

EquitiesMean reversionTechnical indicatorsRisk management
MQL5 code base

This Expert Advisor combines a moving average direction filter with RSI and Stochastic thresholds. It considers buys when price is above the moving average and sells when price is below it; an entry requires both oscillators to reach oversold levels for a…

ForexTechnical indicatorsMean reversionRisk management
OctoBot

This educational overview explains stablecoins as crypto tokens designed to track the value of an asset or basket, often a fiat currency. It distinguishes fiat-collateralized tokens, backed by reserves; crypto-collateralized tokens, generally requiring…

CryptoSpot marketsMarket microstructureRisk management
ProRealCode

The indicator estimates which side has more unconsumed volume stored in surviving supply and demand zones. It identifies a zone after three consecutive candles in one direction when at least one has volume above its rolling average, then anchors the zone to…

Technical indicatorsMarket microstructureRisk management
MQL5 code base

The AntiFragile EA applies a grid-like approach to EUR/USD: it places buy and sell limit orders at intervals, increasing trade size with each additional order, then relies on price reversals to close positions profitably. The stated premise is that price…

ForexGrid tradingMean reversionPosition sizing
BigQuant

This opinion piece argues that the growth of algorithmic trading has weakened familiar short-term, sentiment-driven approaches in China’s A-share market. It recommends avoiding impulsive entries during sharp rises, considering staged buying after panic…

China marketsEquitiesSentimentRisk management
SuperMind

This document outlines an equity screen for main-board Chinese stocks with an RSI below 65, a daily price gain above 1%, and floating market capitalization greater than 10 billion yuan. The stated selection logic combines a technical indicator, positive…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese A-share screening strategy that combines trading activity, earnings growth, and institutional ownership. It selects stocks with turnover between 3% and 12% and year-over-year net profit growth attributable to parent-company…

EquitiesChina marketsFactor investingRisk management
SuperMind

The document proposes screening stocks for a daily price range above a stated threshold, MACD above its zero line, and a ratio of outside-market to inside-market trading volume above 1.3. It interprets the range and MACD requirements as technical filters and…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

The document describes a Chinese stock screen that combines a metaverse classification with the beverage and alcohol import-export industry, then selects the five highest-ranked stocks by the day’s auction amount. It presents the conditions as an industry…

EquitiesChina marketsExecutionRisk management
SuperMind

This document presents an A-share stock screen requiring amplitude above 1%, weekly MACD above zero, and circulating market capitalization above 10 billion yuan. It gives formula examples and Python-style selection logic. The proposed rationale combines a…

EquitiesChina marketsTechnical indicatorsMomentum