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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

12,226 documents

SuperMind

This Chinese stock selection example screens for shares with turnover between 3% and 12%, a circulating market value between 5 billion and 10 billion yuan, and a rising DEA line. The stated rationale is to combine an upward-moving MACD component with…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post proposes screening metaverse-category equities for positive recent returns and a rising KDJ K value. It describes KDJ as a short-term price-trend indicator and gives a combined screening expression using a twenty-period KDJ setting. A Python…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The post describes a stock screen combining three criteria: at least five overlapping moving averages, a company-selection condition based on business characteristics, and a positive but capped return over ten days. It names five-, ten-, twenty-, sixty-, and…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document outlines a Chinese equity screening rule focused on stocks classified in a metaverse-related category. It selects for an elevated turnover measure, circulating market capitalization above a stated threshold, and positive cumulative price change…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese A-share screening example combines three conditions: price amplitude above 1%, a prior-day 9:15 matching price at the daily limit-down level, and turnover between 3% and 12%. The document presents the combination as a way to filter for unusual…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The document describes a simple Chinese A-share screening rule: select stocks whose high-to-low range exceeds 1%, restrict the data to 2021, and exclude stocks associated with Beijing. It gives example implementations for a charting platform and Python, and…

EquitiesChina marketsVolatilityBacktesting
SuperMind

This Chinese equity screening idea combines three conditions: a dividend payout ratio above 25% in 2019, an auction-stage price change between -2% and 5%, and a stated increase in buying activity above 5%. The article interprets the latter as possible…

EquitiesChina marketsEvent-drivenBacktesting
SuperMind

This stock screen combines three filters: turnover between 3% and 12%, a 2021 listing year, and a positive price-to-earnings ratio. The article presents the idea as a way to find recently listed companies with moderate trading activity and positive earnings…

EquitiesChina marketsFactor investing
SuperMind

This A-share screening proposal looks for stocks with RSI below 65, positive price-to-earnings values, and at least two limit-up sessions within the preceding 500 days. The article presents the limit-up condition as a way to identify actively traded or…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening proposal selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and a top-ten ranking by large-order net flow. It combines a liquidity-related measure, recent price weakness, and a money-flow ranking.…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This proposed stock screen orders candidates by a capital-strength measure, then filters for a daily decline between 4% and 5% and a 2019 dividend ratio above 25%. The rationale is to combine evidence of capital inflows with a recent price setback and a…

EquitiesChina marketsFactor investingRisk management
SuperMind

The document describes a weekly rotation strategy based on relative performance in two Chinese equity indexes: the CSI 300 and the CSI 500. It calculates each index’s return over a 20-trading-day lookback and compares the two signals. The strategy invests…

China marketsEquitiesMomentumPortfolio construction
SuperMind

This Chinese stock-selection example screens companies in the metaverse industry using two conditions: ranking among the day’s top five by auction amount and a weekly price cross above the 30-week moving average. It describes the approach as a way to combine…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The post describes a Chinese equity screening idea that combines a turnover range of 3% to 12%, three consecutive declining closes, and first-level bid volume greater than ask volume. It frames these conditions as a way to find stocks with potential for…

EquitiesChina marketsTechnical indicators
SuperMind

This article presents a China A-share stock screen that selects securities with turnover rates from 3% to 12%, excludes Beijing-listed shares, and omits the STAR Market. It frames the turnover band as a way to focus on stocks with moderate trading activity,…

EquitiesChina marketsFactor investing
SuperMind

This document describes a Chinese A-share screening rule combining a turnover band, a recent limit-up event, and a price breakout condition. Its initial description uses turnover between 3% and 12%, at least one limit-up in the prior 25 days, and a high…

EquitiesChina marketsBreakoutMomentum
SuperMind

The discussion explains why a natural-language stock query accepted by a web screening service may fail when used to initialize a stock universe in a backtest. The example is a daily TD buy-setup query: it works on the website, but the backtest reports that…

BacktestingTechnical indicatorsEquitiesChina markets
SuperMind

This document describes a short-term screening rule for main-board Chinese stocks. Candidates must have turnover between 3% and 12%, gain more than 1% on the day relative to a comparison benchmark or group, and meet a condition described as the start of a…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The document explains the traditional 60/40 allocation: 60% in equities and 40% in bonds, periodically rebalanced to restore those weights. It presents the portfolio as a simple, low-cost benchmark that can use domestic or global assets. Its rationale is…

Multi-assetPortfolio constructionRisk managementBacktesting
SuperMind

This A-share selection method focuses on metaverse-related companies, ranks them by the day's opening auction amount, and chooses the top five, subject to a revenue-growth condition. The original description compares 2021 revenue with 2018 revenue and…

EquitiesChina marketsEvent-drivenFactor investing
SuperMind

This EUR/USD expert advisor averages losing positions in one chosen direction, buying or selling at the user's setting. When price moves against the open position by a specified step, it adds an order of fixed volume. After accumulated positions reach a…

ForexGrid tradingPosition sizingRisk management
SuperMind

This A-share stock screen combines three conditions: a 14-period RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and price proximity to five moving averages. The article presents the combination as a way to find stocks…

EquitiesTechnical indicatorsChina markets