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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

22,592 documents

BigQuant

This factor study examines whether the share of a stock’s trading volume occurring in the opening call auction contains information useful for equity selection. It builds an opening call-auction volume proportion factor from relative volume and moving…

EquitiesHigh-frequency tradingMarket microstructureFactor investing
SuperMind

This stock-screening idea combines a relative strength index threshold below 65 with a signal based on the product of percentage price change and net volume from very large orders. It also requires a named Morning Star pattern, using technical, order-flow,…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This Chinese-language post describes a stock screen combining three conditions: daily high-to-low range above a threshold, the current close above its five-day moving average, and three consecutive sessions of lower closes. The proposed interpretation is…

EquitiesMean reversionTechnical indicators
BigQuant

This research summary describes a model for estimating whether a company will meet or exceed analyst expectations in its next reporting period. Its premise is that earnings delivery has persistence: stocks that beat expectations in one period are more likely…

EquitiesMachine learningStatisticsFactor investing
BigQuant

The report applies a modified Grinold-style decomposition to attribute equity index returns to dividend yield, nominal earnings growth, and changes in the price-to-earnings multiple. It compares major Chinese broad-market indexes and selected industry…

EquitiesChina marketsUS marketsFactor investing
SuperMind

This article outlines a Chinese equity screen combining a prior session’s high-low range greater than 1% with an opening price near the 10-day moving average. It adds a company-characteristics filter, suggesting traits such as growth or dividend profile, and…

EquitiesChina marketsTechnical indicatorsBreakout
SuperMind

This document describes a Chinese equity screen combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and price position relative to Bollinger Bands. It selects stocks with turnover from 3% to 12%, profit growth…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

Dynamic Flow Ribbons is presented as a trend-following chart indicator that builds upper and lower bands around a short moving average of typical price. Its band distance is based on a long average of the high-low range, scaled by a configurable factor. The…

Technical indicatorsTrend followingVolatilityForex
BigQuant

This brief Chinese-language post describes a stock-selection submission that adds price-to-sales and dividend-yield filters, then increases the weight assigned to dividend yield. The author says the results improved, but provides no performance figures, test…

EquitiesFactor investingPortfolio construction
BigQuant

The document outlines a China equity industry-rotation strategy using the Shenwan Level 1 industry classification. It ranks industries with a composite momentum measure formed from recent 5-day, 20-day, and 60-day returns, weighted 0.4, 0.3, and 0.3. Each…

China marketsEquitiesMomentumFactor investing
SuperMind

This article describes a short-term stock screen that combines daily amplitude above 1, a daily loss between 4% and 5%, and a “round arc” chart pattern. It presents the pattern as a way to identify possible support and resistance areas, while the amplitude…

EquitiesTechnical indicatorsVolatilityRisk management
SuperMind

This post outlines a short-term stock-selection idea based on price range and large-order net flow, with reference to the 2021 market environment. Its explanation treats intraday amplitude and large-order activity as signs of market activity and sentiment.…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This Chinese stock-screening note describes a rules-based filter for robot-concept stocks with a stated turnover range of 3% to 12% and floating market capitalization below 10 billion yuan. From that group, it selects stocks whose MACD DEA line is rising.…

EquitiesTechnical indicatorsChina markets
SuperMind

This Chinese-language post describes a stock selection screen that ranks stocks by trading volume, keeps those with positive returns, and requires a positive gain over the past 10 days below 35%. It interprets higher volume as a possible sign of stronger…

EquitiesMomentumChina markets
SuperMind

This document proposes screening Chinese stocks by three measures: more than two limit-up sessions within ten days, high turnover as a proxy for active capital, and a high ranking in large-order net volume, defined as aggressive buying minus aggressive…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This document describes a short-term screen for mainland Chinese stocks. It looks for daily price range above 1%, a reversal pattern described as an engulfing move, and a daily gain above 1%. The proposed refinement adds index membership constraints and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screening proposal selects Chinese stocks using three conditions: amplitude above a stated threshold, a K-line-related value below a threshold, and circulating market capitalization within a specified band. The text presents the market-cap range as 5–10…

China marketsEquitiesTechnical indicatorsVolatility
BigQuant

This research report explains how equity risk factors and factor models can help identify portfolio risks, estimate return covariances, and analyze portfolio performance. It distinguishes risk factors from alpha factors and discusses factor returns,…

China marketsEquitiesRisk managementPortfolio construction
SuperMind

This Chinese A-share screening proposal combines a turnover filter, a ceiling on circulating share count or float capitalization, and an upward arrangement of moving averages. Its examples describe turnover between 3% and 12%, a float limit stated as 5.5…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document outlines a short-term A-share selection rule using turnover from 3% to 12%, a ratio of external to internal trading volume above 1.3, non-ST status, and exclusion of stocks that have reached the daily limit. It also applies price conditions…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This document describes a technical stock screen requiring MACD above zero, upward separation of moving averages, and a morning-star candlestick pattern. It presents MACD as a way to identify positive momentum, moving-average direction as a trend filter, and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document presents an A-share selection rule combining price amplitude above 1%, a candlestick condition described as a morning-star pattern, and turnover between 2% and 9%. It frames the candle pattern and amplitude as technical signals and turnover as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a stock screen combining daily price amplitude above 1%, a circulating share count no greater than 5.5 billion, and turnover between 3% and 12%. It presents amplitude as a way to find more volatile stocks, the float-size ceiling as a…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

This ProRealTime indicator replaces the usual Ichimoku midpoint lines with Hull moving averages to create a smoother cloud. A close crossing beyond the displaced cloud becomes a candidate breakout. The indicator scores candidates using RSI, stochastic…

EquitiesTechnical indicatorsBreakoutMomentum