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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
WonderTrader
14 documents
Alphalens
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 note describes a daily stock screen combining MACD above zero, a share price below 12 yuan, and three consecutive declines in closing price. It interprets the MACD condition as a positive trend context and the recent losses as a possible short-term…

EquitiesTechnical indicatorsMean reversion
BigQuant

The document outlines a factor attribution framework for evaluating active equity funds within a fund of funds (FOF). It separates returns into broad risk exposures, such as market, style, and industry effects; alpha-factor contributions from technical and…

Factor investingEquitiesPortfolio construction
SuperMind

This stock-selection rule combines three filters: daily price range greater than 1%, closing price below 20, and prior-day trading value above 60 million. The article interprets the range as a sign of price movement and the trading-value threshold as a…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese equity screen looks for stocks in the metaverse sector whose prior-day price is above the 250-day moving average while MACD was below zero two days earlier. The intended combination is sector exposure, a long-term price trend filter, and a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen combines a turnover range of 3% to 12%, appearance on the prior day’s market leaderboard, and a stated intraday drawdown between 4% and 5%. The article frames turnover as a liquidity filter, leaderboard presence as a sign of market…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note proposes a short-term Chinese equity screen using three conditions: a price-range measure above 1, a 9:25 price rise below 6%, and a previous-day 9:15 matched price associated with a limit-down event. It frames the filters as a combination of…

EquitiesTechnical indicatorsSentimentChina markets
TqSdk

This documentation explains how to run a TqSdk strategy over historical data without changing its core logic, and how to retrieve trade logs and account statistics when the simulation ends. It describes catching a backtest-finished event, accessing summary…

BacktestingFuturesEquitiesExecution
SuperMind

This note describes a Chinese stock selection screen that combines a daily price-range condition, five consecutive years of return on equity above 15%, and a limit on tradable share count. It presents the range condition as a measure of volatility, the ROE…

EquitiesFactor investingVolatilityChina markets
BigQuant

This Chinese-language note estimates potential market upside across four equity groups: the CSI Bank sector, SSE 50, CSI 500, and ChiNext. Its framework considers fundamental trends, whether expected earnings growth supports current valuation, and the risk…

EquitiesChina marketsFactor investingStatistics
SuperMind

This Chinese equity screen combines three conditions: daily high-low range relative to the opening price above 1%, a ten-day return above zero and below 35%, and bullish technical filters. The accompanying Python example calculates moving averages of the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock selection screen uses three market-activity filters: amplitude of at least 1%, turnover above 2% and no more than 9%, and relative volume above 1.5 but below 6. The intended effect is to identify stocks with meaningful price movement and elevated,…

EquitiesTechnical indicatorsMarket microstructureVolatility
SuperMind

This stock screen combines a price-amplitude threshold, a low K-line reading described as an oversold condition, and MACD above its zero line. The stated rationale is to find active stocks that may be oversold while retaining an indicator associated with an…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This stock selection proposal combines a daily price-amplitude threshold, return on equity above 15% for five consecutive years, and a reversal or engulfing-style price factor. It presents the combination as a way to pair active price movement with a record…

EquitiesTechnical indicatorsFactor investingRisk management
SuperMind

This document describes a Chinese stock screen combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and bullish technical crossovers. It specifies turnover from 3% to 12%, profit growth above 20% and at most 100%,…

EquitiesChina marketsTechnical indicatorsMomentum
Amberdata research

This market commentary connects Federal Reserve expectations and stablecoin policy news with volatility in crypto and crypto-linked equities. It focuses on Circle’s post-IPO shares, noting a sharp rise in implied volatility and short-dated call skew, then…

CryptoOptionsVolatilityEquities
BigQuant

This Chinese-language commentary argues that a severe equity-market decline could affect people who do not own stocks through several channels. It describes a potential feedback loop in which investor withdrawals and forced selling reduce market liquidity,…

EquitiesChina marketsRisk management
SuperMind

This Chinese-language post describes a stock screen combining a 14-period RSI below 65, displayed bid-side volume greater than ask-side volume, and three consecutive daily declines in closing price. It presents the rules as a way to identify stocks in a…

EquitiesTechnical indicatorsMean reversionMomentum
SuperMind

This daily stock screen selects shares with MACD above zero, a K value below 20, and ranks qualifying names by individual stock popularity or heat. The article describes running the screen after the market opens. Its rationale treats positive MACD as a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock selection method combines three filters: capital flow strength ranked from high to low, a weekly five-period moving average crossing above the ten-period average, and the daily 20-day average staying above the 120-day average. The moving average…

EquitiesChina marketsTrend followingTechnical indicators
BigQuant

This review summarizes research comparing highly rated ESG stocks with other stocks in US and developed international markets. It examines individual securities and randomly formed portfolios using MSCI ESG classifications and a Fama-French five-factor model…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

The post describes a stock screen requiring MACD above zero, a positive price-to-earnings ratio, and positive institutional direction. It treats the MACD filter as an upward-trend signal, positive earnings valuation as a basic financial condition, and the…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This post proposes a short-term A-share screening rule that combines MACD above zero, upward-diverging moving averages, and a volume-based condition. The volume condition multiplies the prior day’s turnover rate by the ratio of today’s auction volume to the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document outlines a technical A-share screen using RSI below a threshold, an external-to-internal trading volume ratio above a threshold, and a positive weekly MACD histogram. The accompanying explanation interprets the RSI condition as avoiding an…

EquitiesChina marketsMomentumTechnical indicators