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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
WonderTrader
14 documents
Alphalens
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

The document describes a daily screen for Shenzhen main-board stocks using amplitude above 1, the top five by auction amount, a price-to-earnings ratio from 0 to 29.01, and a price-to-book ratio from 0 to 3.11. It presents these filters as a way to find…

EquitiesChina marketsFactor investing
SuperMind

This post proposes screening stocks for turnover between 3% and 12%, an outside-volume to inside-volume ratio above 1.3, and positive net buying by major participants during the auction. The filters aim to combine trading activity, buy-versus-sell volume,…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

The document explains market making as continuously quoting buy and sell prices and trading against customer orders to provide immediacy and liquidity. A simple futures example illustrates spread capture when both sides fill, while showing that an adverse…

Market makingMarket microstructureFuturesOptions
SuperMind

This post describes a Chinese equity screen combining daily price range, five consecutive years of return on equity above 15%, and a circulating market capitalization between 5 and 10 billion yuan. Its proposed refinement adds a price-to-book ceiling of 3.…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This post outlines a monthly small-cap stock strategy. On the first trading day of each month, it excludes ST-designated stocks and listings on the STAR Market and Beijing Stock Exchange, then invests equally in the 30 stocks with the smallest market…

EquitiesChina marketsFactor investingBacktesting
SuperMind

The document introduces tactical asset allocation (TAA) as a systematic, relatively low-frequency approach to adjusting a diversified portfolio. It contrasts TAA with both buy-and-hold investing and short-term trading, and describes potential benefits such…

Multi-assetMomentumTrend followingPortfolio construction
SuperMind

This Chinese-language post describes an equity selection rule combining three conditions: RSI below a threshold, current volume above the prior day’s volume, and a positive ten-day return capped at a stated upper bound. The discussion frames the RSI…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening post combines four filters: strong capital-flow readings, exclusion of ST-designated stocks, a “five-limit-up” method, and a 20-day moving average above the 120-day average. It frames these conditions as a way to find stocks with…

China marketsEquitiesTrend followingTechnical indicators
SuperMind

This Chinese equity screen requires turnover between 3% and 12%, a prior-day appearance on the securities exchange’s top-trader list, and a weekly 5-period moving average crossing above the 10-period average. The proposed rationale combines trading activity…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This proposed Chinese stock screen selects companies with an added-holdings ratio above 5%, previous-day trading value above 60 million yuan, and a listing year of 2021. The text interprets the holdings measure as a signal of recent capital inflow and the…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screen combines three filters: rank stocks among the top 100 by volume ratio, require a circulating market value above 10 billion yuan, and select stocks whose 30-day closing-price trend is rising. The text explains volume ratio as…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock-selection method filters for shares with at least five overlapping moving averages, a positive price-to-earnings ratio, and shortening MACD histogram bars on a 15-minute timeframe. It presents the moving-average cluster as an indication of trend…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This proposed stock screen looks for a stated scale above 200 million, at least five overlapping moving averages on a 15-minute timeframe, and shortening negative MACD histogram bars. The article treats clustered averages as a sign that short- and…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This stock screen combines three ideas: rank stocks by a measure called fund strength, select stocks whose KDJ lines have just formed a bullish crossover, and keep stocks with a positive but capped gain over the past ten days. The article describes fund…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection approach combines three filters: daily price amplitude above 1, a current-day low below the previous day’s low, and shortening MACD histogram bars on a 15-minute chart. The article interprets the amplitude filter as a way to find…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-screening idea combines a weekly MACD above the zero line, a shortening 15-minute MACD histogram below zero, and a daily increase-in-holdings measure above 5%. The weekly indicator is used as a longer-term trend filter, while the intraday…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This stock screen combines a rising 30-day moving average with two measures intended to represent buying activity: a daily increase in holdings above 5% and the ratio of external to internal trading volume above 1.3. The document interprets a higher…

EquitiesTechnical indicatorsTrend followingMarket microstructure
SuperMind

This stock-selection proposal combines recent price appreciation, the opening price’s position relative to the 10-day moving average, and a ranking by capital strength. The stated final screen also includes a top-100 capital-strength rank, a 10-day gain…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This stock screen combines a rising 30-day moving average with a measure of trading activity. It ranks candidates by a proposed capital-strength measure: yesterday’s turnover rate multiplied by today’s opening-auction volume divided by yesterday’s volume.…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This Chinese stock-selection proposal combines a MACD reading above zero, three consecutive down days, and a price gain below six percent at 9:25. Its rationale is to find stocks with a positive broader technical signal that have recently weakened, while…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This Chinese equity screen pairs a positive but capped ten-day return with a measure of trading activity: yesterday’s turnover rate multiplied by the ratio of today’s auction volume to yesterday’s volume. The post describes sorting by this activity measure…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This Chinese equity screening idea combines three signals: more than two daily limit-up events in the past ten days, a reported increase in holdings above five percent, and consideration of the company’s nature or characteristics. The post frames recent…

EquitiesChina marketsMomentumBreakout