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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 Chinese stock-selection proposal combines an intraday range filter, afternoon large-order net inflows, exclusion of special-treatment stocks, and selection before 10 a.m. It then describes a five-step buying rule: add once for each 1% price rise, up to…

China marketsEquitiesMomentumVolatility
SuperMind

The document describes a short-term stock selection screen for companies classified in the Chinese metaverse theme. It combines three technical conditions—MACD signal-line crossover, a short moving-average crossover, and an additional MACD-related…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed Chinese A-share screen starts with stocks in the metaverse theme, then selects for an opening gain below 6% and a circulating share count no greater than 5.5 billion. The article’s final version adds a price-to-earnings ratio below 60. It…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This A-share stock screen combines three conditions: daily price amplitude above 1%, at least one limit-up event in the prior 25 days, and reported institutional buying within the past three months. The article frames the conditions as a mix of volatility,…

EquitiesMomentumVolatilityChina markets
SuperMind

This document describes a Chinese stock screen that ranks shares by volume ratio, retains those with a 20-day moving average above the 120-day average, and requires at least two limit-up sessions within the prior 500 days. The accompanying explanation treats…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document outlines a stock-selection screen using three characteristics: position increases above five percent, upward divergence among moving averages, and a dividend ratio above twenty-five percent in 2019. Its explanation associates position increases…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document describes a Chinese A-share stock screen combining a daily price-range threshold, a newly formed KDJ crossover, and positive large-order net volume over three consecutive days. It presents the conditions as a way to find volatile stocks with…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines three short-term price conditions: amplitude above 1, a positive ten-day gain below 35, and more than two limit-up days within ten days. The document describes amplitude as a measure of price fluctuation, uses the gain…

EquitiesChina marketsMomentumVolatility
BigQuant

The document contrasts selecting stocks by relative rank with selecting them by an absolute model score. A ranking method can always choose the highest-ranked names in a universe, even when their scores are weak. The proposed alternative sets a minimum score…

EquitiesMachine learningFactor investingBacktesting
SuperMind

This stock selection approach combines three price conditions: daily amplitude above 1, upward-diverging moving averages, and at least one limit-up event during the prior 25 trading days. It aims to find volatile stocks with recent strong price action and an…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-language post outlines a short-term equity screen based on a large amplitude, a high same-day control reading, and a three-session limit-up sequence ending the previous day. It discusses adding filters for dividend yield relative to the market…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This Chinese-language post describes an equity screening rule that combines a positive MACD reading, upward alignment of short-term moving averages, and a rising weekly MACD histogram. It provides example indicator formulas and a basic screen based on MACD…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

This guide explains Bollinger Bands as a volatility measure and a possible source of overbought or oversold signals. It describes a middle line based on a moving average, commonly using 20 periods, with upper and lower bands set two standard deviations away.…

Technical indicatorsVolatilityMean reversionEquities
SuperMind

This proposed Chinese equity screen selects stocks whose daily high-low range exceeds 1%, that had at least one limit-up day in the preceding 25 trading days, and whose circulating market value exceeds 10 billion yuan. The article interprets the range…

EquitiesChina marketsVolatilityMomentum
SuperMind

This document explains MACD as a way to compare a short-term and a long-term exponential moving average of closing prices. Their difference, DIFF, is smoothed into a signal line called DEA; MACD is calculated from the gap between DIFF and DEA. The standard…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

The post outlines a stock screen combining three conditions: intraday high-low range relative to the open above 1%, a stated 2019 dividend-yield measure above 25%, and daily change from the open between -5% and 2.6%. It presents the conditions as a way to…

EquitiesTechnical indicatorsFactor investingBacktesting
BigQuant

This summary describes an analysis of actively managed equity funds and funds with substantial equity exposure. Its stated selection process combines historical return data with portfolio holdings, sector exposure, and risk considerations to identify funds…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

This example presents a monthly Chinese equity strategy using constituents of the CSI 300 as its starting universe. It excludes suspended and specially treated stocks, then calculates several cumulative return measures over different lookback windows. For…

China marketsEquitiesMomentumFactor investing
MQL5 code base

This technical note explains how to add alert delivery to a MetaTrader indicator that already stores buy and sell signals in indicator buffers. It describes configurable inputs for selecting the signal bar, enabling sound, setting an alert count, and turning…

Technical indicatorsExecutionEquities
SuperMind

This stock screen combines a metaverse industry classification with a price condition, a robotics concept flag, and a circulating market capitalization limit. The price condition requires the stock’s average price to be above its five-day moving average. The…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This research review examines whether predictable stock returns in particular months reflect changing risk or temporary mispricing. Its central test is seasonal reversal: if a stock earns unusually high returns in one calendar period because demand…

EquitiesStatisticsFactor investingMomentum
SuperMind

This analysis compares limit-up activity in Chinese equities around the implementation and anticipation of registration-based reforms. It reports that daily limit-up counts fell in the later part of the observed half-year, with lower five-day averages and no…

EquitiesChina marketsBreakoutStatistics
SuperMind

This document describes a short-term stock selection screen focused on China’s metaverse industry. It looks for simultaneous bullish crossovers in MACD, KDJ, and DMI, with MACD above its zero line. The expanded rules also require the MACD fast average to be…

EquitiesTechnical indicatorsMomentum