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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

21,023 documents

BigQuant

This research summary studies iron ore returns using factors from the commodity supply chain as well as macroeconomic variables. It groups fundamental drivers around supply, demand, inventories, and costs, and reports findings from a vector autoregression…

CommoditiesFuturesStatisticsBacktesting
SuperMind

The post proposes a Chinese equity screen combining daily price amplitude, afternoon large-order net inflow, and a record of high return on equity over five years. It frames the criteria as a mix of price activity, money flow, and company profitability, and…

China marketsEquitiesFactor investingSentiment
SuperMind

This article surveys engineering choices for algorithmic trading systems, including desktop computers versus dedicated or cloud servers, operating-system trade-offs, remote access, and low-latency server placement. It emphasizes resilience: developers should…

ExecutionHigh-frequency tradingRisk managementStatistics
BigQuant

The document explains how to calculate a portfolio’s expected return as the weighted sum of the assets’ expected returns. It describes portfolio standard deviation as a function of each asset’s weight and volatility, together with the correlations between…

Multi-assetPortfolio constructionRisk managementStatistics
ProRealCode

Wave PM is presented as a volatility oscillator from Mark Whistler’s work. It is intended to help traders assess volatility cycles, including the possible onset or exhaustion of strong trends and the likely persistence of sideways conditions. The document…

VolatilityTechnical indicatorsStatistics
ProRealCode

The document presents an experimental indicator that applies a logistic-map calculation to values derived from four familiar oscillators: Awesome Oscillator, Rate of Change, Relative Strength Index, and Stochastic. A selector chooses the input oscillator,…

Technical indicatorsStatisticsMomentum
BigQuant

The article reviews a method for evaluating active mutual funds by adjusting performance first for factor exposures and then for the characteristics of stocks held. It begins with Carhart four-factor alpha, then uses either a cross-sectional regression on…

EquitiesFactor investingStatisticsPortfolio construction
MQL5 code base

The document introduces two indicators derived from an article on automated support and resistance: the Widner Support Oscillator (WSO) and Widner Resistance Oscillator (WRO). Each compares the current closing price with the six most recent levels of its…

Technical indicatorsStatistics
BigQuant

The document summarizes research proposing a portfolio-centered framework that brings ex ante and ex post attribution into one structure. It applies a consistent approach to explaining portfolio alpha, expected risk, and realized returns, broadening…

Portfolio constructionRisk managementStatistics
MQL5 code base

The document introduces the Vortex indicator through its relationship to Wilder’s Directional Movement Index. It explains directional movement by comparing each bar’s high and low with the prior bar: upward movement measures extension above the previous…

Technical indicatorsTrend followingStatistics
BigQuant

This brief summary of a factor-investing report reviews tests of capital-structure and solvency measures. For nine capital-structure factors, the report compares grouped portfolio performance, long-short returns, information coefficients, and Fama-MacBeth…

EquitiesFactor investingStatisticsPortfolio construction
BigQuant

The document summarizes research on whether actively managed equity funds earn stronger future returns when their trading increases the technological similarity of their holdings. It describes Active Technological Similarity (ATS), built from the overlap in…

EquitiesFactor investingStatisticsPortfolio construction
SuperMind

This document describes a stock screen combining a daily price-range condition, a low share-price cutoff, and a positive value for a field associated with beverage and alcohol imports and exports. The formula reference also includes a minimum trading-amount…

China marketsEquitiesTechnical indicatorsStatistics
BigQuant

This summary compares financial growth signals and subsequent stock returns in overseas and Chinese markets. It defines asset growth as changes in balance-sheet items, including total assets, current assets, and inventory, and profit growth through measures…

China marketsEquitiesFactor investingStatistics
SuperMind

This document introduces a proposed study of Chinese stock price-limit events. It says the work explains the limit-up mechanism, classifies stocks that reach the upper price limit, and examines returns after those events. The stated research direction is to…

EquitiesMachine learningStatistics
BigQuant

This report describes a fundamental equity quality framework spanning profitability, growth stability, earnings quality, cash flow, operating efficiency, and solvency. It screens factors for historical long-term return behavior, then builds a composite…

EquitiesFactor investingStatisticsChina markets
BigQuant

The document addresses a stock-selection model whose chosen stocks and reported backtest returns change when the backtest end date is moved forward by about twenty days. The explanation is that the training data differs across the runs. A model trained on a…

EquitiesMachine learningBacktestingStatistics
BigQuant

The document raises a question about comparing backtested factors when they produce different numbers of trades. Its example contrasts one factor with 100 trades and a 2:1 profit-loss ratio against another with 1,000 trades and a 1.5:1 ratio, asking whether…

StatisticsBacktesting
BigQuant

This report describes a stock rotation strategy that seeks timely events associated with excess returns. Its event factors cover shareholder actions, dividend policies, earnings forecasts and reports, growth measures, and private placements. The strategy…

EquitiesEvent-drivenFactor investingStatistics
BigQuant

The document examines relationships between half-hour returns in major Chinese equity indices and outlines intraday momentum and reversal trades. It reports stronger positive relationships among some afternoon intervals, a negative relationship between the…

EquitiesMomentumMean reversionStatistics
BigQuant

The report outlines portfolio attribution methods for stocks and bonds, using both holdings and return series. For equity holdings, it applies a multifactor framework to separate common-factor returns from idiosyncratic returns, then estimates portfolio…

EquitiesFixed incomeFactor investingPortfolio construction
Amberdata research

This overview explains a set of Ethereum indicators grouped around market tops and bottoms, sentiment, and user activity. Price measures include the 50-day and 200-day moving averages, a 200-week average, and the Pi Cycle comparison between the 111-day…

CryptoOn-chain dataTechnical indicatorsSentiment
SuperMind

The document proposes screening Chinese stocks with RSI below 65, seven consecutive down sessions, and large-order net flow above 0.05 for at least three consecutive days. Its final version adds a market-capitalization range of 5–10 billion yuan, while the…

China marketsEquitiesTechnical indicatorsStatistics