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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
Quantpedia
86 documents
TqSdk
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 proposed Chinese-stock screen combines a technical condition with historical corporate data: it selects shares with RSI at or below 65, a listing history longer than one year, and a 2019 dividend ratio above 25%. The post includes a sample indicator…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This Chinese-market stock screen selects non-ST main-board shares with turnover between 3% and 12% and a daily gain above 1%, then ranks the candidates by individual-stock popularity. The post also gives an example indicator formula and Python outline for…

EquitiesMomentumSentimentChina markets
SuperMind

This article describes a stock screen that combines metaverse industry membership, a newly formed KDJ bullish crossover, and growth in beverage and alcohol import-export figures. The technical signal is defined as the K line moving above the D line after…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article proposes screening stocks in the metaverse industry when their average price is above the five-day moving average and the current close is above the prior session’s low. It presents these conditions as short-term price-strength filters within a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article outlines a Chinese equity screening rule combining daily amplitude above one, a positive weekly MACD reading, and a high ranking for net large-order volume. It describes these conditions as a way to find volatile stocks with upward price…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This article sketches a Chinese stock-selection rule using MACD and price conditions. It describes screening for MACD above the zero line, a price below 12 yuan, and also states a share-price condition of 18.5 yuan. It says the scan is intended to run before…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The proposed stock screen combines a technical condition with fundamental growth and company-size filters. It selects stocks with an RSI below 65, year-over-year net profit growth above 20% and at most 100%, and size of at least 200 million. The article…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This note outlines a basic screen for Chinese equities whose stock codes begin with 60, whose daily high-to-low range exceeds 1%, and whose closing price is 18.5 yuan. It also proposes sorting qualifying stocks by trading activity. The article illustrates…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This note describes a simple Chinese-equity screen combining daily price range, calendar year, and closing price. It selects stocks whose high-to-low range exceeds 1%, whose trading date falls in 2021, and whose closing price equals 18.5 yuan. The article…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This article describes an A-share screening rule combining three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and displayed best-bid volume greater than best-ask volume. It interprets the RSI and candle sequence…

EquitiesTechnical indicatorsChina markets
SuperMind

This post outlines a stock-selection rule using amplitude, three consecutive limit-up sessions on the previous day, and a historical limit-up condition tied to 2021. Its revised formulation specifies amplitude above 1.5% and requires a past limit-up price to…

EquitiesChina marketsMomentumBreakout
SuperMind

This Chinese A-share screening post describes a rule set combining amplitude above 1, a previous-day 9:15 matching price at the limit-down level, and a stated holder-concentration condition. It proposes selecting the first n stocks and provides…

EquitiesChina marketsVolatilityTechnical indicators
BigQuant

The document summarizes research that builds a German FEARS sentiment index from Google search activity and links it to individual investors’ trades and stock returns. The index is constructed from searches for German terms related to expectations and…

SentimentEquitiesStatisticsChina markets
MQL5 code base

DayBulls is a version of the Bulls Power indicator whose calculation period is set automatically based on the number of bars in the current day. The description presents it for chart timeframes from one minute through one day and recommends it as an aid to…

Technical indicatorsMomentumEquities
SuperMind

This stock-selection screen combines three conditions: a relative strength index below 65, positive large-order net inflow in the afternoon, and more than two limit-up days in the recent ten-day period. The article presents the setup as a way to find…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This brief BigQuant assignment proposes a contrarian stock strategy based on the idea that unusually low trading activity may accompany a price low. It buys the five stocks with the lowest turnover and holds them for five days, seeking a reversal. The…

EquitiesChina marketsMean reversionBacktesting
SuperMind

This Chinese stock selection proposal looks for shares with turnover between 3% and 12%, seven consecutive down days, and a Morning Star candlestick signal. Its rationale is to search for a possible rebound after a sustained short-term decline. The document…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This proposed Chinese equity screen combines a daily price move with company size and profitability. It selects stocks with amplitude above 1, a daily decline between 4% and 5%, market capitalization at or below 10 billion yuan, and no losses. The document…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The document describes a Chinese equity screen combining four conditions: membership in the metaverse sector, a prior-day close above the 250-day moving average, a robotics concept classification, and circulating market value below 10 billion yuan. It…

EquitiesChina marketsTechnical indicatorsTrend following
BigQuant

This article describes a discretionary intraday approach to trading an existing stock position in an effort to lower its effective cost. It distinguishes buying before selling in an uptrend from selling before buying in a downtrend, and frames entries around…

EquitiesMean reversionMomentumTechnical indicators
ProRealCode

This Chinese-language research summary explains how short-lived signals derived from stock price and volume data can complement slower fundamental alpha in a monthly index-enhancement portfolio. It outlines a structured risk model based on Barra USE4, with…

China marketsEquitiesFactor investingPortfolio construction
SuperMind

This stock screen selects companies classified in the metaverse sector whose prior-day actual turnover is between 3% and 28%. It also requires the closing price to fall between the 20-period Bollinger middle band and upper band. The article describes the…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This stock selection rule screens Chinese equities in the metaverse industry, limiting candidates to those with a circulating share count no greater than 5.5 billion and a high rank for large-order net flow. The accompanying Python example retrieves stock…

China marketsEquitiesSentimentFactor investing
SuperMind

This stock screen combines three conditions: amplitude above one, circulating market capitalization above 10 billion yuan, and a newly formed KDJ golden cross. The post frames the combination as a way to find relatively large, volatile stocks with a…

EquitiesChina marketsTechnical indicatorsRisk management