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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
Quantpedia
86 documents
TqSdk
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 stock selection rule targets companies classified in the metaverse theme that had at least one limit-up day within the prior 25 days and whose codes begin with 60, a Shanghai listing filter. The post frames the recent limit-up as a possible sign of…

EquitiesChina marketsMomentumEvent-driven
SuperMind

The document outlines a stock screen combining at least five overlapping moving averages with a close above the Bollinger middle band and below the upper band. It presents the overlap as a sign that short and medium term trends agree, and the Bollinger…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This post outlines a Chinese equity screen using three conditions: a price-range measure above a threshold, a dividend yield threshold tied to the stated 2019 dividend criterion, and a closing price above the prior day’s low. It presents these filters as a…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This Chinese stock-screening post proposes selecting shares with a price range threshold, positive large-order net volume for at least three consecutive days, and a limit-up event within the previous month. The stated rationale is to combine trading activity…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

The document describes an automated strategy that trades pullbacks relative to a trend indicated by fast and slow moving averages. It lists configurable entry triggers, stop loss and take profit settings, trailing stops, break-even behavior, trade limits,…

ForexEquitiesTrend followingTechnical indicators
MQL5 code base

XRSI_Histogram_Vol_Direct is described as an indicator that marks the direction of movement in histogram bars with colored icons. Its stated purpose is to make changes in the bars’ direction easier to see while reviewing a chart. The document refers to a…

Technical indicatorsEquities
SuperMind

This stock screen selects shares with turnover between the stated bounds, three consecutive declining sessions, and a condition that scales yesterday’s turnover by the ratio of today’s auction volume to yesterday’s volume. The scaled value must remain within…

China marketsEquitiesTechnical indicatorsBacktesting
SuperMind

The document outlines a Chinese equities screen that ranks stocks by a capital-strength measure and selects those with net volume above 0.05 for at least three consecutive days, within a stated 2021 time window. It frames the approach around short-term…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document describes a Chinese stock screen combining four conditions: membership in the metaverse theme, price above the 250-day moving average, current volume above 10,000 lots, and an opening price above the previous close. It presents these rules as a…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

A forum question examines whether checking an asset's tradeability during a daily backtest is useful when the resulting order may execute on the following day. The concern is that an asset deemed tradable on the signal date could be suspended by the time the…

BacktestingExecutionEquities
SuperMind

The document describes a Chinese equity screening idea that combines daily price amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and an opening price near the ten-day average. The stated rationale is to find…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

This post outlines a Chinese equity screening rule that selects stocks with daily price amplitude above 1%, turnover between 2% and 9%, and positive institutional activity. It presents the screen as a way to combine price movement, trading activity, and an…

EquitiesChina marketsTechnical indicatorsSentiment
BigQuant

This research note describes a method for detecting support and resistance lines in Chinese A-share price data and studying breakout behavior. It defines slope patterns for continuation formations, including triangles, rectangles, flags, and broadening…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

This Chinese-language post describes a stock screening rule intended for selections made before 10 a.m. It combines an amplitude threshold above 1, exclusion of ST-designated stocks, a five-session condition requiring closes at or above their five-period…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock screen combines three conditions: membership in the metaverse industry, an opening price near the 10-day moving average, and a prior-day appearance on China’s Dragon-Tiger list. The article presents the screen as a way to combine an industry…

EquitiesChina marketsTechnical indicatorsEvent-driven
BigQuant

This forum exchange addresses two practical questions about factor analysis: how to submit a factor that needs Python processing beyond SQL, and whether factor values must exist for every stock on every trading day. The reply says the SQL field may be left…

Factor investingEquitiesStatistics
SuperMind

This proposed equity screen combines three conditions: a 14-period RSI below 65, displayed bid-side volume greater than ask-side volume, and a pattern intended to identify rising lows. The idea is to find stocks with a constrained momentum reading, stronger…

EquitiesTechnical indicatorsMarket microstructureRisk management
BigQuant

The report examines how different types of restricted-share unlocks relate to stock performance before and after the release date. It describes supply pressure from newly tradable shares and anticipatory trading by other market participants as possible…

China marketsEquitiesEvent-drivenBacktesting
SuperMind

This equity screen selects companies associated with beverage and alcohol imports or exports, turnover between 3% and 12%, and a listing age above a chosen threshold. The document gives both platform-style selection conditions and a Python outline, with…

EquitiesChina marketsTechnical indicators
SuperMind

This stock screen combines three technical conditions: the 20-day moving average must exceed the 120-day moving average, RSI must be below 65, and the intraday high-low range must exceed 1% of the closing price. Together, these rules aim to find stocks with…

EquitiesTechnical indicatorsTrend following
BigQuant

This summary of a Goldman Sachs outlook presents a framework for assessing China’s 2022 equity market across macroeconomic growth, corporate earnings, market cycles, policy, politics, regulation, and valuation. The report expected slower growth amid…

EquitiesChina marketsFactor investingRisk management
SuperMind

The document outlines a Chinese stock selection rule combining daily price movement, a price threshold, and the return implied by the opening auction. It describes screening for amplitude above 1, a close below 20, and an auction return between -2% and 5%.…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

This Chinese equity screen combines a price-range condition, a profitability filter, and an exchange-board exclusion. It proposes selecting stocks with an intraday high-low range above 1, return on equity above 15% in each of the past five years, and…

EquitiesChina marketsFactor investingRisk management