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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 article describes a daily A-share screening rule applied after the market opens. It keeps stocks whose MACD is above the zero line, ranks them from highest to lowest by stock popularity, and excludes companies classified as being from Beijing. The rule…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document presents a Chinese A-share screening rule combining price movement, large-order net volume, and company size. It selects stocks with an amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and circulating…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This research summary studies whether lagged returns from related industries can help predict industry returns for sector rotation. It motivates the question by noting that such predictability would not be expected in an ideal frictionless market, while real…

EquitiesChina marketsMachine learningStatistics
BigQuant

This research summary examines low-volatility investing in overseas markets and mainland Chinese equities. It presents the low-volatility anomaly as a source of long-run risk-adjusted performance, with a behavioral explanation: speculative demand and…

EquitiesChina marketsFactor investingVolatility
SuperMind

This screen selects stocks associated with the metaverse theme, with a rising 30-day moving average and a 14-period RSI below 65. It combines a thematic filter with a basic trend condition and an RSI threshold. The post gives formula references and a Python…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection screen combines a turnover range of 3%–12%, a recent KDJ golden cross, and a share price below 12. It is presented as a way to focus on liquid, potentially rising lower-priced shares. The article includes a formula reference and a Python…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This report summary describes a Barra-style risk model for Hong Kong stocks, built to study factor returns and portfolio exposures. Its data foundation combines security details, prices, trading activity, Hang Seng industry classifications, valuation…

EquitiesFactor investingStatisticsChina markets
SuperMind

This note proposes screening metaverse-sector stocks whose opening price is near the ten-day moving average and that show positive afternoon net inflow from large orders. It presents proximity to the average as a way to find relatively steady price action…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This note describes a Chinese equity screen combining metaverse-sector membership, a rounded price pattern, and year-over-year growth in net profit attributable to shareholders of the parent company between 20% and 100%. It presents the pattern as a possible…

EquitiesChina marketsTechnical indicatorsFactor investing
FMZ forum

The document presents two chart-based trading setups. In the 1-2-3 method, price breaks a prior trend line, retraces, and turns back in the opposite direction; a qualifying retracement must meet a stated fraction of the first move. The proposed entry follows…

EquitiesTechnical indicatorsBreakoutRisk management
SuperMind

The document outlines a Chinese equity screening rule combining a daily amplitude threshold, a previous session’s 9:15 matched price at the limit-down level, and year-over-year net profit growth attributable to parent-company shareholders within a specified…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The document describes a short-term Chinese A-share screening rule. It selects stocks with a daily high-to-low range above 1%, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. It also excludes…

EquitiesChina marketsTechnical indicatorsPosition sizing
SuperMind

This note describes a Chinese stock screen combining price amplitude above 1%, a prior-day main-fund-control condition, and exclusion of ChiNext and STAR Market stocks. It presents amplitude as a way to avoid low-movement securities and a main-fund-flow…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note proposes a Chinese equity watchlist screen requiring daily price amplitude above 1%, at least one limit-up event during the preceding 25 days, and a listing age greater than one year. It presents volatility as a way to find stocks with larger price…

EquitiesChina marketsVolatilityBreakout
SuperMind

This note describes a daily, post-close screen for Chinese equities. It selects stocks whose MACD line is above zero, uses trading interest to rank candidates, and specifies a closing price of 18.5 yuan. The accompanying discussion interprets positive MACD…

EquitiesTechnical indicatorsMomentumChina markets
quant-trading

This example describes two ways to use the relative strength index (RSI) in an equity backtest. Its basic signal rule uses a smoothed moving average to calculate RSI, then takes a short position above 70 and a long position below 30, remaining flat between…

EquitiesTechnical indicatorsMean reversionBacktesting
SuperMind

This note outlines a short-term Chinese equity screen that combines a daily price-range threshold, rising short-term moving-average behavior, and an increase in the K component of KDJ. It presents these conditions as signals of volatility and possible…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This note proposes screening Chinese equities associated with the metaverse theme, requiring a positive institutional-flow measure and a weekly crossover involving a 30-week reference. The intended rationale is to combine thematic exposure, evidence of…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This guide surveys data services that traders and researchers might use for market quotes, historical bars, and related financial information. It discusses Google Finance, Finnhub, iTick, and Bloomberg, contrasting broad asset coverage, real-time delivery,…

Multi-assetForexCryptoEquities
SuperMind

This note describes a Chinese equity screen combining turnover between 3% and 12%, a K value below 20, and positive MACD. It further frames selection around MACD behavior above the zero line, while its indicator example favors rising MACD and its Python…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This overview explains Chinese depositary receipts (CDRs) as securities traded domestically that represent rights in foreign shares through a depositary institution. It summarizes the historical pilot eligibility criteria described in the document, says…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This post presents an A-share selection rule that combines daily price movement, convertible-bond information, and a moving-average trend filter. Its stated criteria include an amplitude above 1, a nonempty name for outstanding convertible bonds, and a…

EquitiesChina marketsTechnical indicatorsVolatility