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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

4,510 documents

SuperMind

This note proposes selecting Chinese stocks in the metaverse theme that appeared on the prior day’s Dragon and Tiger List and had an amplitude greater than 1. It frames the thematic classification, unusual market attention, and price range as clues about…

EquitiesChina marketsVolatilitySentiment
SuperMind

The note describes a Chinese stock screen using a turnover ratio between 3% and 12%, a circulating share count no greater than 5.5 billion shares, and positive net large-order flow in the afternoon. Its accompanying Python example applies corresponding…

EquitiesMarket microstructureSentiment
SuperMind

This Chinese-language post presents an equity screening rule for stocks associated with robotics. It combines a turnover-rate band of 3% to 12%, a stated circulating market-cap ceiling below 10 billion yuan, and a high ranking by large-order net flow. Its…

EquitiesChina marketsSentimentFactor investing
SuperMind

This document describes a Chinese equity screen for stocks associated with the metaverse theme. It combines positive net buying attributed to major participants during the opening auction with afternoon large-order net inflows. The accompanying indicator…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

This stock-selection idea builds a watchlist from three conditions: daily price amplitude above one percent, at least one limit-up event in the prior 25 days, and a previous-day 09:15 matching price at the limit down. The accompanying rationale treats large…

China marketsEquitiesVolatilitySentiment
SuperMind

This daily stock screen combines a positive MACD reading with a ranking by individual-stock heat and moving-average confluence. The initial description calls for at least five overlapping moving averages, while the final proposed logic relaxes that condition…

EquitiesMomentumTechnical indicatorsSentiment
BigQuant

This note presents a behavioral-finance explanation for a possible link between World Cup final outcomes and investor activity. A national team’s victory may lift local sentiment and trading, while defeat may discourage participation. The analysis compares…

EquitiesSentimentEvent-drivenStatistics
SuperMind

This post presents a stock selection concept combining a price-amplitude condition, a low K-line-related threshold, and a prior-day appearance on China’s Dragon and Tiger List, a disclosure of notable trading activity. It interprets the listing as a sign of…

EquitiesTechnical indicatorsSentimentMarket microstructure
SuperMind

This post outlines a China-listed equity screen limited to the metaverse theme. It seeks stocks with three technical indicators crossing upward at the same time and positive net buying by large orders during the opening auction. MACD and its signal line are…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

This stock-selection idea screens for shares with turnover between 3% and 12%, three consecutive declining sessions, and positive net institutional money flow. It frames the pattern as a way to find stocks that have pulled back while attracting institutional…

EquitiesMean reversionTechnical indicatorsSentiment
SuperMind

This Chinese equity screen selects shares priced below 12 yuan whose MACD is above zero, while excluding shares that hit a limit-up on the previous day. The note frames positive MACD as a technical entry condition and the prior-day exclusion as a way to…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed Chinese stock screen combines a price-amplitude threshold, a top-five ranking by the day’s auction amount, and a focus on companies associated with the metaverse theme. The article frames the first two conditions as ways to find active stocks…

EquitiesChina marketsSentimentMomentum
SuperMind

The document describes a Chinese equity screening rule that combines three signals: more than two limit-up sessions in the past ten trading days, positive institutional activity, and a latest-day position increase share above 5%. It interprets these…

EquitiesChina marketsMomentumBreakout
SuperMind

This A-share screening concept combines an amplitude threshold, a multi-window price-range condition described as a curved or rounded shape, and descending ranking by a measure of stock popularity. The proposed rationale is to identify shares with a…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This proposed equity screen looks for stocks with turnover between 3% and 12%, a positive 10-day gain below 35%, and evidence of institutional buying. The rationale is to combine recent price behavior and trading activity with institutional ownership as a…

EquitiesSentimentMean reversionChina markets
SuperMind

This proposed stock screen combines a next-day increase in the share of added positions above 5% with a prior day’s 9:15 matched price at the limit-down level, and restricts the period to 2021. The article interprets the position increase as a sign of…

EquitiesChina marketsSentimentRisk management
SuperMind

This note describes a Chinese equity screen combining three conditions: membership in the metaverse theme, a positive institutional-flow signal, and prior-day turnover above 8%. The accompanying rationale treats theme exposure as a growth opportunity,…

EquitiesChina marketsEvent-drivenMarket microstructure
SuperMind

The document describes a China A-share stock screen for companies in the metaverse theme. It selects stocks whose actual turnover rate two sessions earlier is between 3% and 28%, and for which the prior session's large-trader net buying measure is positive.…

EquitiesChina marketsSentiment
SuperMind

The proposed screen selects Chinese stocks using three conditions: daily amplitude above a threshold, circulating market value above a stated floor, and positive net buying by major participants during the auction. The accompanying explanation treats…

EquitiesChina marketsSentimentFactor investing
Kraken Learn

This brief overview defines memecoins as digital assets linked to internet memes, trends, animals, or objects, and notes their increased popularity in recent years. It frames these tokens as an entry point into crypto communities for some users, while…

CryptoVolatilitySentiment
SuperMind

This proposed Chinese A-share screen selects companies in the metaverse industry with a circulating share count no greater than 5.5 billion and a positive institutional net-buy rate over the previous month. The article describes institutional buying as a…

China marketsEquitiesSentiment
SuperMind

This post describes a Chinese A-share stock screen using a turnover-rate range of 3% to 12%, excluding Beijing-listed shares, and requiring at least two limit-up days within the previous 500 trading days. It frames limit-up events as a possible signal of…

China marketsEquitiesSentimentTechnical indicators
SuperMind

This stock selection rule combines three conditions: RSI below 65, displayed buy-side volume greater than sell-side volume, and a share price below 12. The article frames RSI as a measure of price conditions, the volume comparison as a sentiment signal, and…

EquitiesTechnical indicatorsSentimentMarket microstructure
BigQuant

This MSCI FactorLab overview describes sentiment signals that aim to capture views about companies. The measures include analyst earnings surprises and revisions, consumer confidence, news tone, and short-selling activity. Signals can come from market…

EquitiesFactor investingSentimentBacktesting