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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

SuperMind

This Chinese equity screen combines daily price amplitude above 1%, circulating market value above 10 billion yuan, and a ratio of 2021 revenue to 2018 revenue above 1.1. The conditions aim to select stocks with noticeable price movement, larger market…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

The document outlines a financial time-series study using returns on the CSI 300 index. It says the analysis applies TGARCH and related derivative models, compares their behavior, and attempts to fit and forecast both prices and volatility. This frames…

EquitiesChina marketsVolatilityStatistics
FMZ forum

The document explains the behavioral challenges of trend following: traders must tolerate repeated small losses, fluctuations in open profits, and periods of waiting for a large move. It recommends evaluating a strategy over many trades rather than judging…

Trend followingRisk managementBacktestingStatistics
BigQuant

This support note explains a model-training failure attributed to problems in the input data. The specific diagnosis is that an erroneous expression caused the buy-condition factor to fail extraction. It also notes that the dataset had only two factors, both…

Machine learningEquitiesStatistics
SuperMind

The document introduces the Sharpe ratio as a measure of excess return per unit of portfolio risk, then describes a method for forecasting how that ratio changes over time. It outlines an approach associated with Whitelaw that estimates Sharpe ratios from…

EquitiesChina marketsStatisticsVolatility
SuperMind

This Chinese-language post proposes a short-term stock selection screen using daily amplitude, a measure described as today’s controlling-shareholder change, and a ratio combining yesterday’s turnover with today’s auction volume relative to yesterday’s…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This stock screen combines a daily price-range threshold with MACD conditions and a 15-minute chart signal. It looks for stocks whose intraday MACD histogram bars are getting shorter, alongside a prior MACD reading condition, with the idea that short-term…

EquitiesTechnical indicatorsMomentumStatistics
MQL5 code base

The Fractal Channel is a channel-based indicator that identifies fractals within a configurable window of price bars. Its sole parameter, called frame size in the description, sets how many bars are considered when locating a fractal. A three-bar window…

Technical indicatorsStatistics
SuperMind

The post describes a Chinese stock-selection screen using three conditions: turnover between 3% and 12%, membership in a beverage and alcohol-related industry, and a current daily low below the previous day's low. It presents the screen as a way to combine…

EquitiesChina marketsTechnical indicatorsStatistics
BigQuant

This short assignment defines quantitative investing in practical terms as using computers to carry out investment work. It identifies consistency within a fixed framework and the ability to hedge or run multiple trading styles as potential advantages. These…

StatisticsRisk managementPortfolio construction
MQL5 code base

The document explains a simple way to summarize price movement over a chosen number of trading days. For each quoted day, it takes the difference between the candle’s high and low, sums those ranges across the period, and divides by the number of quotation…

VolatilityTechnical indicatorsStatistics
MQL5 code base

Shell sort orders items in place by first comparing elements separated by a wide gap, then shrinking that gap until the array is sorted. This lets elements move across the array more quickly than in a simple adjacent comparison sort. The document illustrates…

Statistics
BigQuant

The document summarizes research on time-series intraday momentum in US equity ETFs. It describes a signal in which the first half-hour return, measured from the prior close, predicts the final half-hour return in the same trading day. Using SPY data, the…

EquitiesMomentumStatisticsBacktesting
SuperMind

These reading notes summarize an active, company-focused approach to equity investing. They organize stock selection around business quality, valuation, and timing, emphasizing industry structure and durable company advantages over tracking short-term…

EquitiesFactor investingPortfolio constructionStatistics
MQL5 code base

This brief description identifies a MetaTrader indicator implementing William Blau’s Ergodic MACD Oscillator from his book on momentum, direction, and divergence. The indicator presents the oscillator as a color histogram, giving a visual form for examining…

Technical indicatorsMomentumStatistics
MQL5 code base

This indicator description presents a generalized version of John Ehlers’ Instantaneous Trend Line, extended with bands intended to help identify trend changes and reduce false signals that may arise from relying only on the line’s slope. The underlying…

Technical indicatorsTrend followingStatistics
SuperMind

The study summary describes estimating bond fund asset exposures from externally available data when reported holdings are delayed, infrequent, and incomplete. Its central method is regression: fund returns are related to price-weighted asset returns, using…

Fixed incomeStatisticsFactor investingPortfolio construction
BigQuant

This Chinese-language forum post addresses how to identify, for each stock, the day with the greatest trading volume in a prior window and retrieve that day’s closing price along with the previous day’s close. It outlines a windowing approach: shift the data…

EquitiesStatisticsTechnical indicators
BigQuant

The paper constructs a monthly measure of fear of missing out from three weighted components: a short-term versus long-term moving-average spread, Google search activity for FOMO-related terms, and investor margin-account use. It examines the index over 2004…

SentimentMomentumStatisticsEquities
MQL5 code base

This Supertrend variation aims to keep its values stable after a bar closes. It replaces the moving average of the bars’ high-low midpoints with a moving statistical median, which the document describes as more robust to extreme values than an average. The…

Technical indicatorsTrend followingStatisticsVolatility
MQL5 code base

The document describes a Price Cycle oscillator with four configurable inputs: a calculation period, a calculation method, and overbought and oversold levels. Its stated calculation takes a moving average of the difference between the close and low prices,…

Technical indicatorsStatisticsVolatility
NautilusTrader

This guide explains deterministic simulation testing for a concurrent trading system. It describes how a seed-controlled runtime can make task scheduling, timer events, random draws, and channel delivery repeatable, allowing a failure to be replayed and…

BacktestingStatisticsExecution
MQL5 code base

This brief technical note describes an iRSIOnArray function for calculating the Relative Strength Index from an array in MQL4 or MQL5. It presents the function as an alternative to the built-in MT4 version, citing a reported edge case in which a steadily…

Technical indicatorsStatistics