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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

1,698 documents

Amberdata research

This weekly crypto options analysis links macroeconomic events, including US debt ceiling negotiations, inflation data, Fed minutes, and upcoming employment figures, to Bitcoin and Ethereum volatility. It argues that the market may remain in a wait-and-see…

CryptoOptionsVolatilityCarry
BigQuant

This report describes a stock rotation strategy that seeks timely events associated with excess returns. Its event factors cover shareholder actions, dividend policies, earnings forecasts and reports, growth measures, and private placements. The strategy…

EquitiesEvent-drivenFactor investingStatistics
BigQuant

This Chinese equity research note argues that quarterly profit growth alone can misidentify growth stocks. Small comparison-period earnings, denominator effects, and nonrecurring gains can create misleading growth rates. It proposes using analyst research…

China marketsEquitiesFactor investingEvent-driven
Awesome Systematic Trading

This document describes an event-driven long strategy that combines corporate repurchase announcements with upcoming earnings dates. It screens US-listed stocks, excludes the smallest market-cap quartile, and looks for buyback announcements of at least 5% of…

EquitiesEvent-drivenPosition sizingBacktesting
SuperMind

This proposed stock screen targets companies classified in the metaverse sector during 2021. It selects stocks that appeared on the previous day’s trading leaderboard, have market capitalization below the stated limit, and report positive net income. The…

China marketsEquitiesEvent-drivenFactor investing
BigQuant

The note describes a way to turn high-frequency trade data into a daily measure of stock order book pressure. It uses intraday tick price movements to identify displayed orders above and below traded prices, aggregates these observations at the close, and…

EquitiesHigh-frequency tradingMarket microstructureEvent-driven
BigQuant

This event study examines how Chinese convertible bonds and their underlying shares behave around conversion, early redemption, and conversion-price resets. It reports that conversions increase share supply and can weigh on the underlying stock. Early…

China marketsEvent-drivenEquitiesStatistics
BigQuant

This event-driven equity strategy buys stocks at the open after financial results are announced, selecting companies whose year-over-year net profit attributable to parent shareholders has grown by more than 30%. Eligible stocks are ranked by growth, and the…

EquitiesEvent-drivenFactor investingBacktesting
SuperMind

This proposed Chinese stock screen targets companies classified in the metaverse theme, with market capitalization below 10 billion yuan, positive earnings, and an indicated gain below 6% at 9:25. The post frames the theme as a growth opportunity and…

China marketsEquitiesEvent-drivenRisk management
SuperMind

This report summary explains a framework for estimating returns from IPO subscriptions in China, in the context of the first companies listing after the ChiNext registration reform. It identifies three drivers of subscription returns: the amount raised, the…

EquitiesStatisticsEvent-driven
SuperMind

This Chinese-language post describes an A-share screening idea: select stocks associated with the metaverse industry that appeared on the previous day's trading-record list and had at least one limit-up event during the prior month. It frames the combination…

EquitiesChina marketsMomentumEvent-driven
SuperMind

This document describes a stock screen that combines market activity, reported earnings growth, and recent attention. It selects stocks with turnover between 3% and 12%, parent-company net profit growth above 20% and no more than 100%, and a listing on the…

EquitiesChina marketsEvent-drivenFactor investing
BigQuant

This overview introduces three types of company data associated with FactSet: a six-level product and service based industry classification, company-to-company supply-chain relationships, and geographic revenue exposure. The classification is presented as a…

EquitiesFactor investingEvent-drivenPortfolio construction
BigQuant

This weekly report describes two quantitative equity approaches. The first builds on holdings of successful active funds, then applies quantitative selection to create an enhanced portfolio benchmarked against active equity funds rather than broad market…

EquitiesFactor investingEvent-drivenTechnical indicators
SuperMind

This Chinese equity screening rule combines a turnover range of 3% to 12% with two short-term market conditions: the stock appeared on the previous day’s 龙虎榜, a public ranking of notable trading activity, and its 9:15 opening-auction matched price was at the…

EquitiesChina marketsEvent-drivenBacktesting
BigQuant

The document describes a hybrid approach that combines ARMA-GARCH models with several neural network types to identify market patterns and predict the direction of shocks in defense equities and foreign exchange. ARMA-GARCH models capture linear time-series…

Machine learningStatisticsVolatilityEquities
MQL5 code base

This document describes an Expert Advisor that exports MetaTrader 5 economic-calendar data to a CSV file for use by external research scripts, dashboards, bots, or spreadsheets. The terminal’s calendar can be accessed through MQL5, while the Python…

Event-drivenExecutionStatistics
SuperMind

The document describes a Chinese stock selection approach that targets companies associated with the metaverse, requires a positive institutional-flow measure, and excludes stocks described as having hit the daily price limit on the prior day. The proposed…

EquitiesChina marketsSentimentEvent-driven
SuperMind

This community post describes a short-term stock selection idea combining a gap-up condition, net inflow attributed to major investors, low valuation, and a small market-cap filter. The author presents the approach as a compact model, and commenters…

China marketsEquitiesBreakoutBacktesting
BigQuant

This entry introduces two overseas research topics: persistent bias in analyst expectations and holiday effects in stock markets. The first paper is described as examining habitual distortions in conventional analyst expectation factors and developing a…

EquitiesFactor investingEvent-driven
SuperMind

This document presents a Chinese stock screen requiring a prior-day appearance on the Longhubang trading activity list, a price amplitude above 1, and circulating market value above 200 million yuan. It describes amplitude as a measure of short-term movement…

EquitiesChina marketsVolatilityTechnical indicators
BigQuant

This note presents a behavioral-finance explanation for a possible link between World Cup final outcomes and investor activity. A national team’s victory may lift local sentiment and trading, while defeat may discourage participation. The analysis compares…

EquitiesSentimentEvent-drivenStatistics