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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

SuperMind

This Chinese stock-screening note describes a rules-based screen for metaverse stocks. Its stated conditions combine a price above the 250-day moving average with a weekly five-period moving average crossing above the ten-period average. The screen is…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The document outlines a Chinese equity screen intended to run before 10 a.m. It selects stocks with intraday amplitude of at least one percent, market capitalization no greater than 10 billion yuan, positive net profit, and no special-treatment designation.…

EquitiesChina marketsBreakoutMomentum
MQL5 code base

Williams Accumulation/Distribution (W_A/D) is described as a running total of price movement intended to reflect whether buyers or sellers are in control. Its value changes according to the relationship between the current and previous closing prices, using…

Technical indicatorsMomentumEquities
SuperMind

This Chinese stock-screening note begins with three technical conditions: amplitude above 1, a KDJ value below 20, and positive daily MACD. It presents these as a way to find shares with subdued short-term readings alongside a positive MACD signal. It then…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese stock-screening note combines a price-amplitude filter with a volume and turnover condition. It describes selecting shares whose amplitude exceeds 1 and whose prior-day turnover multiplied by the ratio of current auction volume to prior-day…

EquitiesTechnical indicatorsStatisticsRisk management
SuperMind

This Chinese stock-screening note proposes selecting main-board shares with an RSI below 65, a daily gain above 1%, and total market capitalization above 200 million. It frames the RSI threshold as a way to find shares with room to rebound, the daily gain as…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This stock-selection recipe begins with shares whose 9:25 a.m. price gain is below 6%, circulating market capitalization is above 10 billion yuan, and volume ratio ranks among the top 100. The explanation frames the volume measure as a way to find actively…

EquitiesMomentumExecutionStatistics
SuperMind

This Chinese equity screening approach combines three conditions: price amplitude above 1%, afternoon large-order net inflow, and the 20-day moving average above the 120-day moving average. The article interprets the shorter average as more responsive to…

EquitiesTechnical indicatorsMomentumMarket microstructure
Lumibot

This guide explains how advanced users can run Lumibot backtests with their own historical data. It supports intraday and daily testing and describes assets including stocks, futures, cryptocurrency, and foreign exchange. Input data must be converted into a…

BacktestingMulti-assetOptionsEquities
SuperMind

The document describes a Chinese equity screening strategy that combines a 14-period RSI below 65, upward-diverging moving averages, and strong returns during 2021. Its proposed refinement broadens the historical-return cutoff to the top 30% and allocates…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The note describes a Chinese stock screen using a turnover ratio between 3% and 12%, a circulating share count no greater than 5.5 billion shares, and positive net large-order flow in the afternoon. Its accompanying Python example applies corresponding…

EquitiesMarket microstructureSentiment
SuperMind

The note presents a stock screen combining amplitude above one, rising lows, and at least five converging moving averages. It describes the convergence condition as a way to identify stocks with steadier price behavior, alongside a rising price base. The…

EquitiesTechnical indicatorsTrend following
SuperMind

This post describes a simple equity screen using three conditions: a closing price below 12, daily high-low range above 1% of the previous close, and a 30-day moving average that rose from the prior day. The stated rationale is to combine comparatively low…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This Chinese-language post presents an equity screening rule for stocks associated with robotics. It combines a turnover-rate band of 3% to 12%, a stated circulating market-cap ceiling below 10 billion yuan, and a high ranking by large-order net flow. Its…

EquitiesChina marketsSentimentFactor investing
SuperMind

This proposed mainland Chinese stock screen targets non-ST main-board shares with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. It adds a five-day limit-up style condition, described through checks of future…

EquitiesChina marketsMomentumBreakout
SuperMind

This proposed stock screen selects non-Beijing A-shares with amplitude above one and ranks candidates by the day’s opening-auction amount, keeping the top five. Its rationale is that large amplitude may identify stocks with greater price movement, while high…

EquitiesChina marketsTechnical indicatorsExecution
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 describes a Chinese equity screen for stocks associated with the metaverse theme. It combines positive net buying attributed to major participants during the opening auction with afternoon large-order net inflows. The accompanying indicator…

EquitiesChina marketsMarket microstructureSentiment
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
SuperMind

This document describes a Chinese equity screen combining a turnover-rate range of 3% to 12%, a stock code beginning with 60, and seven consecutive daily declines during 2021. It provides formula and Python examples that operationalize those conditions,…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-screening note proposes selecting shares in the metaverse industry when the current opening price is near the ten-day moving average and the prior day’s 9:15 matching price was at the daily limit-down level. It frames the average-price condition…

EquitiesTechnical indicatorsChina marketsMean reversion
SuperMind

This Chinese-language strategy note describes a daily stock screen combining a 14-period RSI below 65, three consecutive bearish sessions, and turnover between 2% and 9%. It presents the conditions as a way to pair a momentum oscillator and recent price…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This stock screen looks for shares with MACD above zero, upward movement in short-term moving averages, and turnover within a stated range. The technical indicators are meant to identify upward conditions, while the turnover filter aims to exclude stocks…

EquitiesChina marketsTechnical indicatorsMomentum