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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

22,592 documents

SuperMind

This document outlines a Chinese equity screen using three signals: daily amplitude above 1%, afternoon net inflow from large orders, and more than two limit-up days within ten days. The rationale is that amplitude reflects trading activity, large-order…

EquitiesChina marketsMomentumVolatility
SuperMind

This document describes a Chinese equity screen combining daily amplitude above 1%, a positive ten-day return below 35%, and a 2019 dividend payout ratio above 25%. It frames amplitude as a measure of price movement, the return band as a way to select stocks…

EquitiesChina marketsMomentumVolatility
SuperMind

This document describes a Chinese equity screen for stocks classified in the metaverse industry. It selects shares whose opening price is near the 10-day moving average and that recorded at least two limit-up sessions within the prior 500 days. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post outlines a stock screen requiring membership in a metaverse category, a positive recent return, and a positive institutional-interest signal. It suggests using a category identifier, comparing the latest close with the previous close, and…

EquitiesChina marketsSentimentEvent-driven
SuperMind

The document proposes screening for stocks with daily amplitude above one percent, codes beginning with 60, and specified positive price-to-earnings and price-to-book ranges. It also describes a Shenzhen main-board filter and sorting candidates by…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This post describes a Chinese equity screen combining high daily amplitude, at least two limit-up events over a 500-day lookback, and exclusion of the STAR Market. It presents indicator conditions and a Python example intended to identify qualifying shares.…

EquitiesChina marketsTechnical indicatorsBacktesting
BigQuant

This short support discussion concerns a simulated trading run that reportedly failed or stopped before reaching its intended endpoint, even though the available logs showed no clear error. Replies suggest two different observations: one participant saw a…

EquitiesBacktestingRisk management
SuperMind

This stock selection proposal combines a momentum filter, a breakout condition, and a trading activity measure. It selects shares with RSI below 65, a positive product of price change and a measure derived from turnover and very large orders, and a close…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening example begins with capital-flow strength, a stated share-price level, and more than two limit-up sessions within the prior ten days. Its analysis treats repeated limit-ups as a sign of attention and possible upward momentum. The…

EquitiesMomentumBreakoutTechnical indicators
SuperMind

This stock screen combines membership in the metaverse theme with an upward-moving 30-day average and a MACD crossover intended to identify the beginning of a strong advance. The stated signal requires MACD’s faster line to cross above its signal line while…

EquitiesMomentumTechnical indicatorsPosition sizing
SuperMind

This post outlines a Chinese equity screening approach that combines a daily price-change threshold, positive price-to-earnings ratio, and a positive MACD histogram. It presents these filters as ways to select stocks with recent price movement, reported…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The post presents a stock screen based on three conditions: today’s position-growth share exceeds 5%, the close is above the previous day’s low, and the 10-day return is positive but below 35%. It frames these filters as a way to find stocks with recent…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This A-share screening proposal combines a 2019 dividend payout ratio above 25%, a daily gain above 1% for main-board stocks, and reported buying activity above 5%. The article interprets the dividend measure as a possible sign of business strength and the…

EquitiesChina marketsMomentumFactor investing
SuperMind

This Chinese equity screening proposal combines an intraday high-low range of at least 1%, a nonempty name for an outstanding convertible bond, and positive net buying attributed to major participants during the opening auction. The accompanying indicator…

EquitiesChina marketsVolatilityMarket microstructure
SuperMind

This proposed Chinese stock screen selects companies associated with the metaverse theme, with a 14-period RSI below 65 and a positive 10-day return under 35%. The article frames RSI as a short-term sentiment gauge and the theme filter as a way to target a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed A-share screen looks for stocks with RSI below 65, an external-to-internal trading volume ratio above 1.3, and no limit-up close on the previous day. The article frames the RSI threshold as a way to avoid heavily overbought stocks, treats the…

EquitiesTechnical indicatorsSentimentChina markets
BigQuant

This article explains how the Fama-French model extends CAPM first with size and value factors, then with profitability and investment factors. It describes double sorts by size and book-to-market, return on equity, or asset growth, and forms RMW from…

EquitiesFactor investingStatisticsChina markets
SuperMind

The proposed short-term stock screen selects shares with an amplitude above a threshold, an indicated 9:25 price gain below a cap, and an exclusion for the STAR Market. The author presents these filters as a way to combine a volatility condition, an…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The article summarizes Burton Malkiel’s broad investing principles: use index funds, choose capable fund managers, or invest independently after analysis. For individual stock selection, it emphasizes sustained above-market earnings growth, avoiding prices…

EquitiesFactor investingChina marketsBacktesting
SuperMind

This post describes a historical stock screen for shares whose codes begin with 60 and whose daily high-to-low range exceeds 1% of the opening price. It restricts observations to 2021 and ranks qualifying rows using a 50-period measure based on the distance…

EquitiesVolatilityTechnical indicatorsChina markets
BigQuant

The article explains how a long-only smart beta portfolio can combine equity factors to seek steadier returns than relying on one factor. It highlights value, low beta, profitability, investment, momentum, and size, arguing that their different return…

EquitiesFactor investingPortfolio constructionMomentum