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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 proposed stock screen combines three ideas: institutional buying activity above a stated share of trading volume, reported institutional accumulation near a price low, and a positive but capped ten-day gain. The article presents the combination as a way…

EquitiesMomentumSentimentChina markets
SuperMind

This A-share stock screen combines a positive MACD reading with an upward-moving average condition, then ranks candidates by the day’s auction amount and selects the top five. The article frames auction value as a possible sign of buying interest: stocks…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed stock screen combines three conditions: amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and a morning-star candlestick pattern. The document treats the amplitude filter as a way to find volatile stocks,…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

The document proposes screening equities in the beverage and alcohol import-export industry using a relative strength index (RSI) threshold and a weekly moving-average crossover. Its initial description uses a cross above the 30-week average, while its final…

EquitiesChina marketsTechnical indicatorsTrend following
BigQuant

This weekly market commentary reviews Chinese equity index moves and sector themes for August 8–14, 2022. It highlights Chiplet-related stocks and financial firms, linking the former to semiconductor packaging developments and the latter to expectations…

EquitiesChina marketsEvent-drivenCommodities
SuperMind

This document describes a Chinese equity screen that combines an amplitude threshold, high current trading volume, an opening price above the prior close, and seven consecutive declining sessions. It frames the setup as a way to find heavily traded, volatile…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

The post describes a Chinese equity screen requiring a turnover rate between 3% and 12%, a stock code beginning with 60, and a positive daily MACD reading. It frames positive MACD as a sign of an upward trend and moderate turnover as a selection constraint.…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The article challenges three barriers often thought to exclude individual investors from quantitative trading: advanced mathematics, coding skills, and large capital. It presents quant methods primarily as statistical tools for understanding markets, and…

StatisticsFactor investingEquitiesMachine learning
SuperMind

This post outlines a Chinese equity screen for companies associated with the metaverse theme. It combines an RSI reading below 65 with market capitalization below 10 billion yuan and a history described as having no losses. It also mentions filtering for…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This post describes a screen for Chinese stocks associated with the metaverse theme. It selects stocks whose closing price is above the five-day moving average and whose 20-day moving average is above the 120-day moving average. The short average condition…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

The proposed stock screen combines three conditions: daily price range above a threshold, MACD above its zero line, and positive afternoon net large-order inflow. The accompanying rationale treats a wide range as evidence of volatility, positive MACD as a…

EquitiesTechnical indicatorsMomentumMarket microstructure
MQL5 code base

This brief indicator description explains a signal built from two Commodity Channel Index calculations applied to open and close price series. It generates a semaphore-style marker when the difference between the two CCI values changes sign, matching a…

Technical indicatorsEquities
BigQuant

The article summarizes research using Forcerank, a platform where participants rank stocks by expected performance over roughly a week. Regressions of consensus ranks on past returns show that participants extrapolate recent performance, with more weight on…

EquitiesSentimentMomentumBacktesting
SuperMind

This article proposes a Chinese stock screen requiring at least five moving averages to converge, appearance on the previous day's market activity list, and a shortening MACD histogram on a 15-minute chart. It interprets clustered averages as a stable…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article describes a Chinese stock screen combining RSI below 65, membership in the beverage and alcohol import-export industry, and positive net buying pressure from the opening auction. It presents the auction-flow condition as a short-term measure of…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This sector-rotation study uses the absorption ratio to measure how concentrated the risks embedded in a group of asset returns are. The ratio reflects the share of total return variation explained by a small set of orthogonal components: higher readings are…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

This post outlines a Chinese equity screen that combines price behavior with a share-float constraint. It selects stocks with amplitude above 1, a rising bottom pattern, and a circulating share count no greater than 5.5 billion shares. It gives example…

EquitiesTechnical indicatorsChina markets
SuperMind

This Chinese equity screen selects stocks with a daily high-to-low range greater than 1% of the opening price, whose codes begin with 60, while excluding Beijing-listed shares. The article provides example formula and Python references and describes the…

EquitiesChina marketsTechnical indicators
SuperMind

This Chinese equity screening proposal selects stocks whose daily amplitude exceeds 1, whose prior-day turnover rate multiplied by the ratio of current-day auction volume to prior-day volume falls between 0.5 and 2, and whose closing price is above the…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This Chinese equity screening idea combines a technical condition with company size and earnings growth. It selects stocks with RSI below 65, a stated free-float market capitalization between 5 billion and 10 billion yuan, and year-over-year growth in net…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Chinese-language post proposes a stock screen combining technical and company filters. It selects stocks with MACD above zero, a positive recent rise in the KDJ K value, and a favorable company classification. The accompanying formula also restricts…

EquitiesMomentumTechnical indicatorsFactor investing
SuperMind

This Chinese-language post describes a momentum-oriented stock screen using three conditions: position growth above 5% for the day, moving averages spreading upward, and at least two limit-up sessions within the prior 500 days. The rationale is that rising…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This proposed daily premarket stock screen combines positive MACD, a non-ST restriction, market-heat ranking, and a five-session limit-up pattern. The pattern is described as five consecutive sessions in which each day reached a stated return threshold over…

EquitiesChina marketsTechnical indicatorsMomentum