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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 article describes a market-level risk control for an equity strategy. It calculates the five-day cumulative return of the Shanghai Composite Index and uses that reading as a benchmark risk signal. If the index return falls below negative four percent,…

China marketsEquitiesRisk management
SuperMind

The document proposes screening Chinese stocks for amplitude above 1%, an aligned set of three moving averages, and a 2021-to-2018 revenue ratio above 1.1. It presents the moving-average condition as a technical signal and the revenue comparison as a basic…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes a Chinese A-share stock screen that excludes Beijing-listed shares, requires daily high-low amplitude above 1%, and selects stocks with at least one daily gain of 10% or more in the previous 25 trading days. It outlines the rationale…

EquitiesChina marketsMomentumVolatility
SuperMind

The post describes a simple equity-universe filter: identify stocks associated with the metaverse theme, require a circulating market value above 10 billion yuan, and retain codes beginning with 60. It presents these conditions as a way to narrow the…

EquitiesChina marketsFactor investing
SuperMind

This stock screen combines three technical conditions: daily price amplitude of at least one percent, turnover above two percent and no greater than nine percent, and a pattern of rising lows. The accompanying explanation interprets the combination as…

EquitiesTechnical indicatorsVolatilityRisk management
BigQuant

The post asks how to add an industry-strength ranking to a short-term stock momentum selection process. The proposed workflow first selects five stocks using a momentum strategy, then ranks them by the speed of gains in their primary or secondary industry,…

EquitiesMomentumFactor investing
BigQuant

This Chinese-language research summary explains how to estimate consensus net profit from analyst forecasts and turn that estimate into equity-selection signals. It proposes weighting forecasts by report recency and by each analyst’s prior adjusted forecast…

EquitiesFactor investingStatisticsBacktesting
SuperMind

This Chinese equity screen looks for companies with market capitalization below 10 billion yuan and nonnegative net profit attributable to parent-company shareholders for 2021. The article presents the size limit as a way to focus on smaller firms that may…

EquitiesFactor investingChina markets
SuperMind

This Chinese equity screen selects companies associated with the metaverse theme when prior-day actual turnover is between 3% and 28% and both weekly MACD lines, DIFF and DEA, are above zero. The article treats the turnover range as a sign of market…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese equity screening rule combines a 14-period RSI below 65, prior-day auction turnover above 0.26, and a 9:25 price gain below 6%. The article describes RSI as a gauge of overbought or oversold conditions, auction turnover as a measure of trading…

EquitiesTechnical indicatorsChina markets
SuperMind

The document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, positive 10-day gains below 35%, and a rising 30-day moving average. It presents the conditions as a way to combine trading activity with short-term…

EquitiesMomentumTechnical indicatorsChina markets
BigQuant

This literature digest summarizes two research topics. The first examines whether approval of new IPOs affects existing Chinese stocks. Treating the IPO approval system as a natural experiment, the summarized study reports negative price effects on existing…

China marketsEquitiesEvent-drivenFactor investing
SuperMind

The post describes a Chinese A-share screening rule that combines a daily price-range threshold, at least one limit-up event in the prior 25 trading days, and return on equity above 15% for five consecutive years. It presents the conditions as a way to find…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock screen combines price movement and recent trading activity. It looks for amplitude above 1, at least one daily gain of 10% or more during the past 25 trading days, and more than two limit-up days within the past 10 days. The document frames these…

EquitiesMomentumVolatilityTechnical indicators
MQL5 code base

Auto Adjusting is described as an expert advisor that trades using three moving averages and candle-based trailing stops for stop loss and take profit. It includes adjustable position sizing and parameters for trade limits, equity stops, basket profit and…

Technical indicatorsForexEquitiesRisk management
BigQuant

This weekly research summary compares fundamental and price-related equity factors across Chinese index constituent universes. It reports that valuation, profitability, and financial-quality factors were relatively strong during the week, while growth was…

EquitiesFactor investingStatisticsChina markets
SuperMind

This note outlines a Chinese equity screen that combines membership in the metaverse theme with positive net buying by large traders during the auction and a relatively low shareholding concentration measure. It presents these as three filters for…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This note describes a Chinese equity screening rule combining daily price amplitude, turnover, and the direction of the 30-day moving average. It selects stocks with amplitude of at least 1%, turnover above 2% and below 9%, and a 30-day average close that…

EquitiesTechnical indicatorsRisk management
FMZ forum

The document defines swing trading as a holding period between day trading and longer-term trend trading, typically lasting several days to a few weeks. It presents the style as trading shorter oscillations in liquid stocks, especially when broad markets…

EquitiesTechnical indicatorsMean reversionTrend following
SuperMind

This stock-screening proposal selects equities whose 5-, 10-, 20-, 30-, and 60-day moving averages converge, with turnover above 2% and below 9%, and a dividend payout ratio above 25% for 2019. The author interprets clustered short- and medium-term averages…

EquitiesTechnical indicatorsFactor investing
vn.py community

This Chinese research summary examines whether intraday data can support sector rotation signals, focusing on realized skewness and the share of volatility attributable to downside moves. It describes constructing industry level factors inspired by high…

China marketsEquitiesHigh-frequency tradingVolatility
SuperMind

The document describes a short-term stock screen combining daily price range, company size, profitability, and a reversal pattern called a bearish-to-bullish “wraparound” or reversal setup. Its proposed criteria include a daily range above one percent,…

EquitiesTechnical indicatorsMean reversionRisk management
SuperMind

The document presents a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, displayed first-level bid volume greater than ask volume, and reported holder concentration below 20%. The candidates are then ranked by price change,…

EquitiesChina marketsMarket microstructureBacktesting
SuperMind

The document presents a method for moderating drawdowns by reducing the capital base used to size trades as portfolio value falls. It first defines maximum drawdown as the largest peak-to-later-trough decline relative to the earlier value. Its adjustment…

Risk managementPosition sizingBacktestingEquities