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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
Quantopian lectures
45 documents
Binance API docs
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

22,592 documents

SuperMind

This Chinese equities screening idea combines several filters: exclude stocks marked ST, require an amplitude above one, apply a five-session closing-price high condition, and select stocks whose intraday low is down within a narrow four-to-five percent band…

EquitiesChina marketsMean reversionBacktesting
SuperMind

This post describes a Chinese equity screen for stocks associated with the metaverse theme, with a close above the previous day’s low and a code beginning with 60. It combines a thematic classification, a simple price condition, and an exchange-listing code…

China marketsEquitiesTechnical indicatorsPosition sizing
SuperMind

This post outlines an equity screen requiring MACD above zero, upward divergence among current moving averages, and a positive price-to-earnings ratio. The stated rationale is to combine a bullish technical condition with rising price trends and a basic…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post describes a Chinese equity screen combining a daily high-to-low amplitude threshold, a minimum circulating market capitalization, and a positive weekly MACD histogram. It presents the conditions as a way to focus on larger listed companies with…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The report proposes improving traditional liquidity factors for Chinese A-share stock selection by incorporating information about intraday trading structure. It frames the approach as a reusable factor research method: identify market information omitted by…

China marketsEquitiesFactor investingMarket microstructure
Lumibot

This report presents a short backtest of a strategy labeled “momentum-news-generic” against SPY, using Yahoo data. Over the stated period, the strategy had a slightly negative total return, negative annualized return, negative Sharpe and Sortino ratios, and…

EquitiesMomentumSentimentBacktesting
SuperMind

This Chinese-language strategy post outlines a mainland China equity screen combining capital strength, upward divergence of moving averages, and a profitability filter. The initial title specifies companies with market capitalization below 10 billion yuan…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screen selects stocks with daily price amplitude above a threshold, a positive but capped ten-day return, and an appearance on the previous day’s trading activity list. The post frames amplitude as a volatility measure, the return band as…

China marketsEquitiesMomentumVolatility
SuperMind

This stock-selection idea combines three filters: MACD above its zero line, a share price below a stated threshold, and at least two limit-up sessions within a historical lookback. The post says the screen is run before the market opens each trading day. It…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This report develops a framework for rotating between the CSI 300 and ChiNext indices, whose valuations, market capitalizations, and industry exposures differ. It organizes potential drivers of their relative performance into factors covering real economic…

China marketsEquitiesFactor investingPortfolio construction
SuperMind

The proposed Chinese equity screen combines a positive MACD reading with order-book and company filters: first-level bid volume must exceed first-level ask volume, market capitalization must be no more than 10 billion yuan, and net profit must be positive.…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock screen selects shares when MACD is above zero, the five-day moving average crosses above the ten-day average, and first-level bid volume exceeds ask volume. The article presents the conditions as a combination of trend signals and a measure of…

EquitiesChina marketsTechnical indicatorsMarket microstructure
FMZ forum

Fundamental analysis estimates a security’s intrinsic value by examining economic conditions, industry trends, company finances, and qualitative factors such as management. Analysts use public information to form a value estimate and compare it with the…

EquitiesFixed incomeStatistics
BigQuant

This beginner’s post describes an attempted reproduction of a quantitative research report’s “Water Drops Wear Away Stone” factor and a single-factor stock-selection backtest. The author says the implementation was prepared as a learning exercise with help…

EquitiesFactor investingBacktesting
SuperMind

The proposed stock screen combines three short-term technical conditions: daily amplitude above 1, a rising or expanding moving-average configuration for the day, and a shortening negative MACD histogram on a 15-minute chart. The document interprets the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection method looks within China’s metaverse sector for shares ranking among the top five by the day’s auction value, then filters for a 2019 stock-dividend ratio above 25%. The document gives screening logic and example implementations for two…

EquitiesChina marketsFactor investingRisk management
BigQuant

The report estimates a fund’s equity exposure by regressing daily fund returns on daily returns for 29 first-level industry indices. It treats the sum of fitted industry coefficients as the estimated position. Because industry returns are correlated, it…

EquitiesStatisticsMachine learningPortfolio construction
SuperMind

This stock-selection screen combines three conditions: RSI below 65, positive large-order net inflow during the afternoon, and a rising 30-day moving average. The accompanying indicator references use a 14-period RSI and compare closing price with the 30-day…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This equity screen combines an RSI below 65 with three consecutive down sessions and more than two limit-up days in a ten-day window. The stated idea is to find stocks showing recent weakness while also having a record of sharp upward moves, which the author…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This equity screening approach combines three filters: at least two limit-up sessions within the prior 500 days, weekly MACD above zero, and high fund-flow strength. The note describes fund-flow strength through activity measures such as turnover or volume…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese-language note describes an equity screening rule combining daily price amplitude, a weekly moving-average crossover, and a ranking by stock heat. It selects stocks with amplitude above 1% and a weekly five-period moving average crossing above…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This weekly report describes two event-driven approaches to Chinese equities. The product-price strategy tracks listed companies’ main product prices and flags cases where a clear price increase has not yet been reflected in share prices. It is updated…

EquitiesChina marketsEvent-drivenSentiment
SuperMind

This note proposes an equity screen combining turnover with a rising DEA signal. It describes an initial turnover range of 3% to 12%, an additional condition requiring turnover between 2% and 9%, and a bullish DEA condition expressed through moving-average…

EquitiesMomentumTechnical indicators