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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

MQL5 code base

The Slope Direction Line is described as a colored moving average intended to show the market’s average direction. Its configurable inputs are a lookback period, a moving-average method, and the price series used in the calculation. The calculation first…

Technical indicatorsTrend followingStatistics
MQL5 code base

This MetaTrader utility evaluates whether splitting a position into multiple exits improved the outcome relative to holding the full position until the final exit. It reads closing-deal records from a CSV and reports three measures: value added versus that…

ExecutionRisk managementStatistics
SuperMind

This Chinese-language post describes an equity screening rule that selects stocks with an amplitude threshold, prior-day main-fund control, and a rising DEA. It frames the conditions as combining price activity and fund-flow participation with a short-term…

EquitiesTechnical indicatorsMomentumStatistics
Technical Analysis

This source code implements a collection of volume-related technical indicators for price and volume series. It includes cumulative measures such as Accumulation/Distribution, On-Balance Volume, Volume-Price Trend, and Negative Volume Index, as well as…

Technical indicatorsStatistics
SuperMind

The report studies liquidity, volatility, and return distributions in the CSI 1000 near-month futures contract using minute bars over a specified 2024 sample. It examines log returns across several aggregation windows, compares full-session data with…

FuturesChina marketsStatisticsVolatility
BigQuant

The document explains how to choose between regression and classification when building machine-learning models for stock research. A regression task predicts a continuous quantity, illustrated by forecasting a stock’s five-day return. It introduces fitting…

Machine learningEquitiesStatisticsChina markets
SuperMind

This document describes a Chinese stock-selection screen combining turnover with year-over-year growth in net profit attributable to parent-company shareholders. It specifies turnover between 3% and 12%, profit growth above 20% and no more than 100%, and an…

EquitiesChina marketsFactor investingStatistics
BigQuant

The report introduces a Barra-style multi-factor risk and return attribution model for Chinese equities. Its central idea is to explain the returns and risks of many stocks through a smaller set of style factors, making portfolio exposures easier to analyze.…

EquitiesChina marketsFactor investingRisk management
BigQuant

This short BigQuant discussion asks whether factor analysis of a custom stock universe requires manually importing a data table. The response says custom feature data can instead be passed into the factor-analysis module, enabling analysis for a user-defined…

EquitiesFactor investingStatisticsChina markets
MQL5 code base

This brief indicator description explains a channel built around percentage price deviation. Its width is controlled by a percentage setting, and the channel is displayed as a filled background or cloud. The document identifies an original author and says…

Technical indicatorsStatistics
SuperMind

The document presents a calculation for charting the annualized return of a fund over time. It retrieves daily closing prices for a specified fund and date range, then compares each later close with the first close to calculate cumulative return. It…

StatisticsBacktesting
FMZ forum

This introductory guide covers core JavaScript concepts that can help a reader understand or write scripts, including numeric values, strings, variables, arrays, objects, control flow, functions, scope, closures, and constructors. Examples show how these…

Statistics
Amberdata research

This introduction to crypto pairs trading argues that correlation alone does not establish a durable relationship between two assets. A pair may move together because of shared market forces, yet its price spread can continue drifting. Cointegration offers a…

CryptoPairs tradingMean reversionStatistics
BigQuant

This explanation defines an asset’s exposure to a factor as its sensitivity to that factor’s returns. It illustrates the idea with a value factor: filter a broad A-share universe, sort stocks by price-to-earnings ratio, and form a long-short portfolio from…

EquitiesFactor investingStatisticsPortfolio construction
BigQuant

The report compares ordinary K-fold cross-validation with time-series cross-validation for tuning machine-learning models on sequential data. Random folds can place later observations in training while earlier ones are used for validation, creating leakage…

Machine learningStatisticsBacktestingChina markets
FMZ forum

The essay argues that traders should accept uncertainty instead of relying on confident market forecasts. It treats technical and fundamental interpretations as fallible explanations that may sometimes coincide with subsequent price moves, but cannot…

EquitiesRisk managementPosition sizingStatistics
BigQuant

The document summarizes research on the disposition effect among actively managed U.S. equity mutual funds: managers may sell winning stocks too readily while holding losing stocks. It describes a measurement based on quarterly changes in reported holdings…

EquitiesStatisticsFactor investing
MQL5 code base

The document describes a corrected version of the QWMA moving-average indicator. Its correction process compares changes in the average with a standard deviation-based significance threshold; changes judged too small are ignored, producing a step-like…

Technical indicatorsStatisticsTrend following
MQL5 code base

The document outlines a MetaTrader 5 utility for collecting candlestick history across multiple timeframes and writing it to a CSV file. It presents the export as a way to prepare price data for external analysis, record keeping, strategy backtesting, or…

BacktestingStatisticsExecution
ProRealCode

The document describes a cyclically smoothed Relative Strength Index (CRSI), intended to adapt RSI signals to market cycles. It begins with upward and downward price changes, smooths them exponentially using a period derived from the estimated dominant…

EquitiesTechnical indicatorsStatisticsRisk management
BigQuant

This Chinese equity research note proposes unexpected profitability as a source of stock-selection alpha. It measures operating profitability with return on net operating assets (RNOA), which separates operating activity from financing and is presented as…

EquitiesFactor investingStatisticsChina markets
ProRealCode

This document describes an indicator that applies John Ehlers’ inverse Fisher transform to either RSI or RSX. The transform is presented as a way to reshape an indicator’s probability distribution and produce a smoother oscillator for timing buy and sell…

Technical indicatorsMean reversionStatistics
FMZ forum

The document explains how limit order books can reveal displayed supply and demand, liquidity concentrations, spread changes, and shifts in intraday buying or selling pressure. It proposes tracking order book changes alongside price to investigate support…

High-frequency tradingMarket microstructureExecutionTechnical indicators
MQL5 code base

The document outlines a proposed moving-average indicator intended to imitate a range of other moving averages, reducing the need to select among many separate versions. It describes desired behavior rather than giving a formula or implementation: the…

Technical indicatorsStatistics