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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

12,226 documents

SuperMind

This stock screen selects shares with daily amplitude above 1%, a positive return over ten days that remains below 35%, and previous-day turnover above 8%. The document interprets amplitude as a measure of market movement, the bounded return as a way to…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection screen combines three technical conditions: daily amplitude above 1%, weekly MACD above zero, and at least one limit-up session within the previous 25 days. The document presents these as filters for volatility, positive trend…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes an A-share stock screen combining a price-amplitude threshold, a nonempty name for an outstanding convertible bond, and more than two limit-up sessions within a recent ten-day window. It proposes ranking qualifying stocks by limit-up…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed stock screen combines a 14-period RSI below 65 with three consecutive down sessions and a nonempty field for outstanding convertible bond identification. The post presents the RSI and consecutive declines as technical filters for stocks with…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This stock screen selects securities whose daily high-low range exceeds one percent, whose ten-day price gain is positive but below 35%, and whose codes begin with 60. The article interprets the range condition as a volatility filter and the recent return…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock-selection rule combines three filters: amplitude above 1, a positive weekly MACD-style histogram, and a nonempty name for an outstanding convertible bond. The document frames the amplitude as a volatility condition, the weekly signal as evidence…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This stock screen combines three conditions: daily price amplitude above 1%, a 2019 dividend yield above 25%, and the 20-day moving average above the 120-day moving average. The document presents the combination as a way to find volatile stocks with a strong…

EquitiesTechnical indicatorsTrend followingRisk management
SuperMind

This Chinese-equity screening proposal combines alignment among at least five moving averages with a condition that the 20-day average exceeds the 120-day average. It also calls for considering company characteristics, including industry context,…

EquitiesTechnical indicatorsTrend followingBacktesting
SuperMind

This note describes a simple Chinese-equity screen using three conditions: daily high-low range relative to the prior close above a threshold, closing price above its five-day moving average, and a closing price of 18.5 yuan. The accompanying explanation…

EquitiesTechnical indicatorsRisk management
SuperMind

This review compares passive and active approaches to protecting U.S. equity portfolios during severe drawdowns and recessions. Its sample covers 1985–2018, including eight equity declines greater than 15% and three U.S. recessions. It discusses rolling S&P…

EquitiesFuturesOptionsTrend following
SuperMind

The post proposes a Chinese equity screen combining daily price amplitude above 1%, a robotics concept classification, circulating market value below 10 billion, and selected beverage or alcohol related industries. It outlines the conditions in prose and…

EquitiesTechnical indicatorsChina marketsFactor investing
SuperMind

This stock screen looks for a daily range above 1%, rising bottoms, and an opening price within 5% of the 10-day moving average. The intended logic is to combine active price movement with improving support and an opening level near a short-term trend…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This stock-screening proposal combines a daily high-low range greater than 1%, a large-order net-flow measure, and a KDJ K-value change. It describes ranking candidates by KDJ change and frames the approach as a short- or medium-term technical screen. The…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This stock screen combines three filters: membership in the metaverse theme, a previous-day price at or above the 250-day moving average, and an external-to-internal trade volume ratio above 1.3. The article interprets the long moving average as a trend…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes a Chinese equity screening idea that ranks stocks by capital-flow strength, then selects companies with no losses, market capitalization below a stated threshold, and more than two limit-up sessions in the recent ten-day window. It…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document presents a simple Chinese equity screening rule: select stocks with turnover between 3% and 12%, circulating market capitalization between 5 billion and 10 billion yuan, and a positive return. It gives both a formula-style expression and a…

China marketsEquitiesFactor investing
SuperMind

This Chinese equity screening idea combines price amplitude above 1%, appearance on the prior day’s trading list, and return on equity above 15% for five consecutive years. The post frames these conditions as a blend of short-term volatility, market…

EquitiesVolatilitySentimentFactor investing
SuperMind

This post outlines a Chinese equity screen combining daily price amplitude above 1%, a 2021 date condition, and three consecutive limit-up sessions. Its final stated criteria also require trailing price-to-earnings below 30 and price-to-book below 5. The…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

This Chinese-language post proposes screening stocks with at least five moving averages converging, an outstanding convertible-bond name, and a price gain below 6% at 9:25. It describes the moving-average condition as a way to find stocks with a potentially…

China marketsEquitiesTechnical indicatorsBacktesting
SuperMind

This Chinese stock-selection example targets companies in the metaverse industry whose opening price is near or above a ten-day moving average and whose reported daily position growth exceeds five percent. The article frames the moving-average condition as a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article explains backtesting as a way to replay trading rules on historical data, check whether signals and logic behave as intended, and expose strategy defects before deployment. It emphasizes that historical simulation can test market assumptions, but…

BacktestingExecutionMarket microstructureStatistics
SuperMind

This proposed stock-selection method combines three conditions: a historical dividend payout ratio above a stated cutoff, an opening price near the ten-day moving average, and at least five moving averages described as overlapping. The rationale is to find…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Chinese-market stock screen selects shares whose daily high-low range exceeds a threshold, that did not close at the upper price limit on the previous day, and whose current-day return is positive. The stated rationale is to avoid very quiet stocks,…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post describes a Chinese A-share screening rule that combines a daily high-low range above one percent, a date filter for 2021, and a condition intended to identify a prior session's 9:15 matched price at the limit-down level. It sketches equivalent…

EquitiesChina marketsVolatilityTechnical indicators