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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
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 article presents a stock-selection screen for Chinese equities whose codes begin with 60. It further requires turnover to fall within a stated 3% to 12% band and MACD to be above zero. The post provides example query and Python-based references for…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This article outlines a reproduction of a research approach that predicts whether a stock’s closing price will rise or fall over a future horizon. It applies exponential smoothing to Apple daily price data, then builds a binary target from the price change…

EquitiesMachine learningTechnical indicatorsStatistics
SuperMind

This Chinese stock-screening example combines three filters for an investment watchlist: daily high-low amplitude above 1%, at least one limit-up session in the previous 25 trading days, and a return rank in the top fifth of stocks from 2021 onward. It…

EquitiesChina marketsMomentumVolatility
BigQuant

The report summary examines whether stock momentum spreads among companies linked by industry, geography, supply chains, or similar technologies. For A-shares, it reports that portfolios formed on industry momentum had higher average monthly returns at the…

China marketsEquitiesMomentumFactor investing
BigQuant

This report excerpt describes a weekly framework for monitoring profitability and business conditions across selected primary and secondary industries in China's CITIC classification. It tracks trailing-twelve-month return on equity and places current…

China marketsEquitiesStatisticsFactor investing
ProRealCode

This indicator uses the European premarket range to plot potential price levels for the active session. On a five-minute chart, it tracks the high and low during the period beginning at 08:05 and ending at 09:00, then uses those bounds as anchors for bullish…

Technical indicatorsBreakoutForexEquities
SuperMind

This post describes a Chinese stock screen combining a minimum intraday price range, a named morning-star candlestick condition, and a prior-day turnover-related filter bounded between 3% and 28%. It presents the combination as a way to find stocks with…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening post describes selecting shares with a daily range greater than 1, circulating market value above 10 billion yuan, and a low K value from a stochastic-style indicator. The accompanying explanation frames the low reading as a…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This Chinese stock-screening post proposes filtering shares by daily price range, whether the previous session was a limit-up day, and relative trading volume. Its written description specifies a range greater than 1 and a volume ratio between 1.5 and 6,…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This Chinese stock-screening post describes selecting shares with turnover between 3% and 12%, a 2021 listing year, and a KDJ bullish crossover on the current day. It presents the crossover as a signal that a stock may be entering an upward phase, while…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document outlines a Chinese stock selection rule based on three conditions: the 30-day average is rising, yesterday’s price is above the 250-day average, and today’s position increase ratio exceeds 5%. The post interprets these as short- and long-term…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document presents a Chinese stock screen combining price amplitude above 1, a current control ratio above 21, and appearance on the previous day’s market leaderboard. Its rationale is to select volatile stocks with substantial market influence and…

China marketsEquitiesTechnical indicatorsMomentum
Qlib

This document presents an optimization-based alternative to a simple top-ranked stock strategy. It describes using Qlib’s EnhancedIndexingStrategy to seek a balance between portfolio return and tracking error against a benchmark, with correlation and…

EquitiesPortfolio constructionRisk managementChina markets
SuperMind

This document describes a technical screen for stocks in the metaverse industry. It combines three indicator conditions, including MACD and moving-average crossover checks, with a requirement that weekly MACD be above zero. The intended use is to find stocks…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This stock screen combines three technical conditions: amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and RSI below 65. The document presents these as a way to find volatile shares with a possible upward trend…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This stock-selection idea combines three conditions: current trading volume above 10,000 lots, an opening price above the previous close, and a shortening negative MACD histogram on a 15-minute chart. The article interprets volume as a sign of trading…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document proposes a Chinese equity screen combining daily price amplitude above 1%, membership in a robotics concept group, circulating market capitalization below 10 billion yuan, and a listing age above a user-defined threshold. It frames amplitude as…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese equities screen combines a turnover rate between 3% and 12%, a reversal pattern, and a prior-day closing price above the 250-day moving average. The article presents turnover as a way to select actively traded shares, the reversal condition as a…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This stock-selection rule screens for equities whose current turnover rate is between 3% and 12%, whose ticker begins with 60, and whose previous-day actual turnover is described as between 3% and 28%. The post treats turnover as a rough indicator of trading…

EquitiesChina marketsMarket microstructure
SuperMind

This Chinese equities screen looks for stocks with a daily high-to-low range above one percent, a reversal or engulfing-style pattern, and at least one limit-up event within the prior 25 days. The post frames the range as a volatility filter, the reversal…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

This Chinese equities screen combines three conditions: MACD above zero, a share price below 12 yuan, and substantial large-order and block-order buying during the auction period. The article presents the combination as a way to find low-priced stocks with…

EquitiesTechnical indicatorsMomentumMarket microstructure
BigQuant

The article argues that mean and variance alone may miss information when market returns depart from a stable Gaussian pattern. It describes higher moments, especially odd-order moments, as potentially useful timing signals: their values reportedly expand…

EquitiesChina marketsTechnical indicatorsStatistics
BigQuant

This guide explains how long-short equity portfolios combine stocks expected to rise with stocks expected to fall. It discusses possible return sources, including security selection, market timing, and exposure to factors such as value, growth, momentum, and…

EquitiesMean reversionFactor investingPortfolio construction
SuperMind

This Chinese-language post describes a stock screen combining price amplitude, recent actual turnover, and a moving-average trend condition. It selects shares with amplitude above a threshold, turnover within a specified band, and the shorter moving average…

China marketsEquitiesTechnical indicatorsFactor investing