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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

This document explains a trading-account metric for expressing the current profit or loss on selected open positions as a percentage of account balance. A helper function totals each eligible position’s current profit or loss, commission, and swap. It…

Risk managementStatistics
SuperMind

This Chinese-language article outlines an equity screening rule using daily amplitude above 1%, RSI below 65, and a prior-day volume ratio between 3% and 28%. It describes the screen as combining price movement, an RSI ceiling, and recent trading activity.…

EquitiesTechnical indicatorsMomentumStatistics
ProRealCode

This indicator estimates whether recent market regimes favor an uptrend or downtrend and tracks the calibration of its own probability forecasts. It classifies each bar using price change over a lookback window scaled by ATR. Changes beyond a positive or…

Technical indicatorsStatisticsTrend followingMean reversion
BigQuant

This research summary argues that a fund’s track record can mix the results of successive managers, obscuring changes in style and investment approach. It proposes constructing a separate index for each manager from funds solely attributed to that manager,…

Multi-assetFactor investingStatisticsPortfolio construction
SuperMind

This overview explains factor investing as building portfolios around characteristics associated with returns, such as company size, valuation, dividends, and momentum. It distinguishes single-factor approaches from multi-factor combinations, broader factor…

Factor investingEquitiesMomentumPortfolio construction
MQL5 code base

This document explains how to reproduce TradingView’s SuperTrend indicator in MQL5 and verify that the port matches bar by bar. It highlights three sources of divergence: using EMA smoothing instead of Wilder’s RMA for ATR, adopting a different true-range…

Technical indicatorsTrend followingStatisticsBacktesting
BigQuant

This report describes a Chinese equity risk model built on a standard multifactor framework and informed by the Barra approach. It estimates stock return covariance through factor return covariance and specific return variances. The model adjusts these…

EquitiesChina marketsFactor investingRisk management
MQL5 code base

The document outlines time utilities for handling weekly market schedules. It describes functions that identify Sunday and Friday boundary times, count Sundays or hourly candles between dates, and add a requested number of trading seconds to a timestamp. The…

ExecutionBacktestingStatistics
MQL5 code base

The document describes a candlestick-style display built from Ang_Zad_C_Hist histogram values calculated using a price chart’s open, high, low, and close series. It uses color to distinguish whether a candle is rising or falling, then varies the shade…

Technical indicatorsStatistics
BigQuant

This research summary compares ten equity valuation measures, including book-to-price, earnings-to-price, sales-to-price, dividend yield, growth-adjusted earnings multiples, cash-flow yields, and EBITDA relative to enterprise value. It describes what each…

EquitiesFactor investingStatisticsBacktesting
BigQuant

This overview surveys several ways to rank or select equities using quantitative models. It groups approaches into factor and risk models, statistical methods, machine learning, macroeconomic inputs, and behavioral signals. Examples include combining value,…

EquitiesFactor investingMachine learningStatistics
BigQuant

The study examines whether WTI crude futures trading before weekly US Energy Information Administration inventory releases is consistent with informed trading. It compares announcement outcomes with analyst expectations and analyzes intraday prices and…

FuturesCommoditiesMarket microstructureEvent-driven
BigQuant

The article introduces random forests as an ensemble of decision trees and explains how bootstrap sampling and random feature selection create diversity among trees. It reviews classification and regression trees, impurity measures, pruning, regression…

EquitiesMachine learningFactor investingStatistics
Freqtrade docs

The guide explains how to enable public trade downloads in Freqtrade and configure order flow processing. Settings control cached candles, trade history depth, footprint price-bin size, and the volume and ratio thresholds used to identify imbalances.…

Market microstructureExecutionBacktestingStatistics
BigQuant

This research review examines whether actively managed U.S. equity funds can generate CAPM alpha without weakening the coskewness of their returns with the market. It explains why investors who value positive skew may care about coskewness alongside…

EquitiesStatisticsRisk managementPortfolio construction
SuperMind

The article presents factors as the core logic of a quantitative strategy, with code serving as a way to implement that logic. It describes factors as explicit rules for selecting securities or timing trades, and argues that traders can translate subjective…

Factor investingStatisticsBacktestingEquities
BigQuant

The note introduces quantitative investing as a standardized process that uses data, mathematical rules, and a model to make investment decisions. It contrasts this approach with discretionary stock selection based on personal feelings, describing how a…

StatisticsRisk management
SuperMind

This research note compares ways to estimate buyer- and seller-initiated trading. Tick-based classification uses trades relative to the prior best bid and ask, while a bar-based flow measure assigns volume according to the direction of the close-to-close…

EquitiesMarket microstructureFactor investingStatistics
MQL5 code base

This document explains how to estimate a broker's server time zone and daylight-saving status from historical quote data. The method examines the distribution of weekly market opening times, using recurring peaks in inferred offsets to distinguish standard…

ForexStatisticsExecutionBacktesting
MQL5 code base

This brief note describes an extended version of a deviation-scaled moving average. It says the earlier formulation uses a filter based on the difference between the current close and the close two bars earlier. The extension changes that filter so the…

Technical indicatorsStatistics
BigQuant

This study examines how analyst coverage and earnings forecast revisions relate to the negative association between idiosyncratic volatility (IVOL) and future stock returns in Chinese A-shares. It measures IVOL from residual volatility in a Fama–French…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This Chinese equity screen combines daily amplitude above 1, positive institutional fund flow, market capitalization below 10 billion yuan, and positive profitability measures over three years. The note interprets amplitude as a volatility filter, positive…

EquitiesChina marketsVolatilityStatistics
MQL5 code base

This read-only tool estimates how far an averaging or grid position chain can move against an account before broker stop-out. It accounts for cumulative floating losses across the legs, margin locked by open trades, the broker’s stop-out threshold, and the…

Grid tradingRisk managementPosition sizingStatistics