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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

12,226 documents

SuperMind

The document describes a Chinese mainland stock screen combining three conditions: turnover between 3% and 12%, a daily gain above 1%, and large plus extra-large buy volume in the auction above the stated threshold. It presents the screen as a way to seek…

EquitiesMomentumMarket microstructureChina markets
SuperMind

The document describes a Chinese equity screen for companies classified in the metaverse sector. It selects stocks with a positive return and turnover between 2% and 9%, aiming to favor shares with some trading activity while avoiding very high or very low…

EquitiesTechnical indicatorsChina markets
SuperMind

The document describes a Chinese stock selection rule combining a MACD condition, a recent high, and a dividend-related filter. Its stated formula looks for MACD above zero, the current high matching the highest high over two days, and a 2019 dividend ratio…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This document outlines a short-term stock screen for Chinese equities. It combines daily price amplitude above 1%, market capitalization below 10 billion yuan, positive earnings, and a low KDJ reading (K at or below 20) intended to identify stocks near a…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This screen selects stocks with turnover between 3% and 12%, three consecutive declining closes, current volume above 10,000 lots, and an opening price above the previous close. The article presents these filters as a combination of price action, trading…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This stock-screening idea ranks candidates by capital-flow strength and filters for two price-history conditions: at least one limit-up event during the previous 25 days and at least two during the previous 500 days. The article frames recent and longer-term…

EquitiesMomentumEvent-drivenRisk management
SuperMind

This article introduces Bollinger Bands as a volatility-based technical indicator built around a moving average. It describes the middle band as an N-day average of closing prices and the upper and lower bands as that average plus or minus a multiple of the…

EquitiesTechnical indicatorsVolatilityMean reversion
SuperMind

The post presents a stock-screening idea that combines a morning star candlestick pattern, associated with a possible bullish reversal, with a shrinking MACD histogram on a 15-minute chart. It describes using both conditions to identify candidate buy signals…

EquitiesTechnical indicatorsBacktesting
SuperMind

The document explains factors as measurable characteristics of assets that can serve as inputs to quantitative models and investment strategies. It outlines four common feature-engineering steps: cleaning missing or erroneous observations, standardizing…

Factor investingMachine learningStatisticsEquities
SuperMind

The document describes a stock screen combining recent buying activity, the ratio of actively bought to actively sold volume, and a historical dividend payout measure. Its main text specifies a buying-activity share above 5%, an outside-to-inside volume…

EquitiesMomentumSentimentRisk management
SuperMind

The document proposes a Chinese stock screen that pairs a 14-period RSI below 65 with year-over-year net profit growth above 20% and no more than 100%, plus a return on equity above 15% over five years. It presents the conditions as a way to combine a…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

The document presents a Chinese equity screening idea combining daily price range, a recent three-session limit-up streak, and a rising DEA trend indicator. Its stated rationale is that a large range identifies active stocks, a sequence of limit-ups signals…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock selection approach combines three filters: a price-range threshold, a bullish crossover of the five-week and ten-week moving averages, and a minimum time since listing. The post explains the crossover and trading-range conditions as technical…

EquitiesTechnical indicatorsBacktestingMachine learning
SuperMind

This post describes a short-term screen for main-board Chinese stocks. It selects shares with an intraday high-low range above a threshold, a high large-order net-flow ranking, and a daily gain above a threshold, then ranks candidates by market…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This Chinese stock-screening proposal selects shares with a daily high-low range greater than 1 that had three consecutive limit-up sessions as of the previous day, while excluding the STAR Market. The article interprets the range as a sign of volatility and…

EquitiesChina marketsMomentum
SuperMind

This stock-screening recipe combines a daily high-low range greater than 1, prior-day actual turnover between 3% and 28%, and a MACD reading below zero from two days earlier. The article frames the lagged MACD condition as a way to identify stocks that may…

EquitiesChina marketsTechnical indicators
SuperMind

This Chinese stock-screening example combines three filters: the 20-day moving average must exceed the 120-day average, the 14-period RSI must be below 65, and candidates are ordered by a measure of stock popularity or trading heat. The stated rationale is…

EquitiesChina marketsTechnical indicators
SuperMind

The document outlines a stock screen combining a daily high-low range threshold, return on equity above a stated level for five consecutive years, and a selected company characteristic. It presents the range as a way to identify stocks with price movement…

EquitiesFactor investingTechnical indicatorsBacktesting
SuperMind

The document describes a Chinese equity screening rule that places stocks in a candidate pool when their high-to-low price range exceeds 1%, the trading year is 2021, and company scale is at least 200 million. It gives example implementations in a charting…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock selection approach combines three filters: a 14-period RSI below 65, best bid volume greater than best ask volume, and at least two limit-up sessions in a 500-day lookback. The article frames these conditions as a way to find shares with prior…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

The post proposes screening Shanghai-listed A-shares using an RSI below 65 and an external-to-internal trading volume ratio above 1.3. Its example also filters out stocks whose current price change is at or below negative 3 percent. The stated rationale is…

China marketsEquitiesMean reversionTechnical indicators
SuperMind

This Chinese stock-screening note describes a momentum-oriented rule for the metaverse industry: select stocks that had a limit-up event within the prior 25 days and whose high is at a two-day high. It says to run the screen before 10 a.m. and trade the…

China marketsEquitiesMomentumBreakout
SuperMind

This A-share screening proposal places stocks in a candidate pool when they meet three technical conditions: daily amplitude above a stated threshold, a newly formed KDJ crossover, and at least five coincident moving averages. The post explains these filters…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening proposal combines daily price range, weekly MACD, a non-ST restriction, and a five-pen limit-up pattern. It describes selecting stocks before 10 a.m. and gives formula and Python examples intended to express the conditions. The…

EquitiesChina marketsTechnical indicatorsMomentum