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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 post describes a Chinese A-share selection rule that combines a minimum price-amplitude filter, a ceiling on freely tradable shares, and a weekly five-period moving average crossing above a ten-period moving average. The stated rationale is to find…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post presents a simple A-share stock screen combining membership in the metaverse theme, circulating market capitalization above a stated threshold, and a recent closing price exactly equal to a specified value. It sketches…

EquitiesChina marketsFactor investing
ProRealCode

The document describes a short-term mean-reversion system for France 40, FTSE 100, and DAX index markets on a one-minute chart. It looks at the relationship between the opening price two candles earlier and the current close, with a directional sequence…

Mean reversionTechnical indicatorsEquitiesRisk management
BigQuant

The note addresses a stock forecasting workflow that displayed an unexpected prediction date and failed when publishing a simulated trade. Its proposed fix is to make sure the training period and prediction period are not set to the same dates. This is a…

EquitiesMachine learning
SuperMind

This Chinese-language post describes a stock screen combining turnover, a rising DEA condition, and price location within Bollinger Bands. It selects shares with turnover between 3% and 12%, a bullish MACD-style DEA condition, and a close above the band…

EquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection rule combines three signals: daily price amplitude above 1, MACD above its zero line, and at least one limit-up event in the previous 25 days. The article interprets amplitude as a sign of substantial movement, positive MACD as a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share selection rule looks for turnover between 3% and 12%, an opening price within 5% of the 10-day moving average of closing prices, and a positive return on the latest trading day. The article interprets these filters as selecting stocks with…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with parent-company net profit growth above 20% and no more than 100%, plus at least two limit-up days within the prior 500 days. It also describes excluding suspended and special-treatment shares…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The article describes a Chinese equity screening rule using three filters: turnover rate between 3% and 12%, a positive 10-day gain below 35%, and free-float market value above 10 billion yuan. It presents the screen as a way to find relatively liquid,…

China marketsEquitiesMomentumTechnical indicators
BigQuant

The post outlines a proposed equity workflow that links market breadth, sector selection, stock screening, and portfolio exposure. It would compare broad-market indices with industry or concept indices using beta, select sectors with higher beta, then choose…

China marketsEquitiesFactor investingPosition sizing
BigQuant

The note answers how to prevent a backtest from buying stocks that cannot realistically be traded because they are suspended or locked at a one-price limit. It says BigQuant's backtesting module handles these cases by automatically canceling an order when…

BacktestingEquitiesExecutionChina markets
SuperMind

This proposed equity screen selects stocks associated with the metaverse theme, a rising 30-day moving average, and at least one limit-up event during the prior 25 days. The document provides an indicator formula reference and a Python sketch for these…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-screening proposal targets companies classified in the metaverse industry when the KDJ indicator has just formed a bullish crossover and the shares have recorded at least two limit-up sessions within the prior 500 days. It specifies selecting…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This China A-share selection concept combines a moving-average trend filter, a size threshold, and a ranking by capital strength. It favors stocks whose 20-day moving average is above the 120-day average, treats size above 200 million as an eligibility…

EquitiesChina marketsTrend followingMomentum
SuperMind

This article describes a short-term China A-share screen based on three stated conditions: amplitude above 1%, evidence of main-force control on the prior day, and ranking among the top five by the current day’s auction amount. The intended idea is to find…

EquitiesChina marketsVolatilityMomentum
SuperMind

This document presents a simple China A-share selection rule: retain stocks with prior-day amplitude above 1%, circulating shares no greater than 5.5 billion, and exclude Beijing-listed shares. Its stated rationale is to focus on more volatile stocks with…

EquitiesChina marketsVolatilityTechnical indicators
BigQuant

This daily report summarizes an RSRS-based market timing model for major Chinese equity indices on April 7, 2020. The model retained bullish views on the Shanghai Composite, CSI 500, and ChiNext, while taking a more cautious stance on the SSE 50 and CSI 300.…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article proposes a Chinese equity screening rule that combines at least five overlapping moving averages, a 20 day average above the 120 day average, and a positive 10 day return below 35%. It interprets these conditions as alignment across time horizons…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This brokerage report reviews Chinese equity style behavior during the week of April 13–17, 2020, then outlines a style outlook using macroeconomic conditions, historical calendar patterns, cross-sectional dispersion, fund flows, valuations, and macro event…

EquitiesFactor investingStatisticsChina markets
SuperMind

The document describes an equity screening rule that combines positive MACD, a share price below 12 yuan, and a control strength measure above 21. It defines control strength from the close’s position within the day’s high–low range, then averages that…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screening example targets beverage and alcohol-related stocks with turnover between 3% and 12% and a positive ten-day price gain below 35%. It presents turnover as a measure of trading activity, the industry classification as a way to define the…

EquitiesMomentumChina markets
SuperMind

This proposed stock screen combines turnover between 3% and 12% with a condition involving the product of daily price change and large-order net flow, a rising K value from the KDJ indicator, and additional trend and market-cap filters in the formula…

EquitiesTechnical indicatorsMomentumMarket microstructure
FMZ forum

This article explains why a strategy with a positive arithmetic average return can still lose money when returns compound. It illustrates the point with alternating gains and losses, showing that the geometric return better reflects long-run account growth.…

Risk managementPosition sizingStatisticsFutures
SuperMind

This stock screen combines a price-range condition, a weekly moving-average signal, and a historical dividend measure. Its stated criteria are amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and a 2019 dividend…

EquitiesTechnical indicatorsChina markets