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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

21,023 documents

SuperMind

This document outlines a stock screen that selects equities with RSI below 65, ranks or filters them by money-flow strength, and considers performance during 2021. Its example code uses a 14-period RSI, a 20-period Chaikin Money Flow measure, and excludes…

EquitiesChina marketsTechnical indicatorsMomentum
FMZ forum

The article argues that even a carefully designed and tested trading system may have a limited useful life. It contrasts the view that a robust system should work across future market conditions with the author’s view that performance should be reviewed…

BacktestingRisk managementStatistics
ProRealCode

This text introduces Volume Spread Analysis as an approach that interprets price and volume together to infer the activity of large, coordinated market participants. It presents the ideas of strong and weak hands, accumulation, distribution, and pooled…

Market microstructureTechnical indicatorsStatistics
SuperMind

This Chinese-language post outlines an equity screening idea that ranks stocks by a volume-ratio measure, checks whether price is moving within Bollinger Bands in a rounded pattern, and looks for shrinking negative MACD histogram bars on a 15-minute chart.…

EquitiesTechnical indicatorsMomentumStatistics
MQL5 code base

This document describes a chart indicator that highlights the price range associated with a chosen day of the week. The trader selects a weekday in the indicator settings, and the tool paints that weekday’s range with colored rectangles. The setting makes…

Technical indicatorsStatistics
BigQuant

This weekly factor report describes two forms of diagnostics for the ten highest-ranked anonymous ModelScore factors: average style exposures estimated through daily multivariate regressions, and average industry-level Rank ICs measuring the cross-sectional…

EquitiesChina marketsFactor investingStatistics
BigQuant

The study applies the CCK approach to detect herding among the constituents of Chinese equity indices. It treats herding as a period when constituent returns move more alike: their co-movement increases while the dispersion of returns falls. The authors also…

EquitiesChina marketsStatisticsMomentum
BigQuant

This research summary examines what drives convergence in the basis of stock index futures and how those drivers can inform cash-and-futures hedging. After accounting for dividend effects, it identifies the current contract’s annualized basis, the index’s…

FuturesEquitiesStatisticsDerivatives pricing
BigQuant

This document poses a model-design question: whether the number of input factors in a StockRank model relates to the number of leaves per tree or the total number of trees, and whether there are useful rules of thumb for choosing these quantities. It…

Machine learningFactor investingStatisticsBacktesting
MQL5 code base

The linear regression slope oscillator measures the slope of a linear model fitted to price over a selected period. Its sole configurable parameter is the calculation period. Rising indicator values are described as indicating an uptrend, while falling…

Technical indicatorsTrend followingStatistics
MQL5 code base

The Cauchy difference indicator compares the arithmetic mean and geometric mean of a bar’s price. It first represents each bar with the average of its open, high, low, and close prices, then uses a configurable period for the indicator calculation. The…

Technical indicatorsStatistics
MQL5 code base

This MetaTrader 5 utility analyzes closed trading history to show how reported performance was formed. Alongside net and gross results, profit factor, win rate, and average and median trade, it examines reliance on the best trades, sensitivity to removing…

BacktestingRisk managementStatisticsPortfolio construction
MQL5 code base

This indicator marks a chosen intraday session on historical charts, drawing a rectangle from that session’s high to its low. The user can set the session start and end times, including sessions that cross midnight. Across a selected lookback, it reports the…

Technical indicatorsVolatilityStatisticsRisk management
BigQuant

This note introduces the Average Directional Index (ADX), an indicator calculated from high, low, and close prices over a chosen lookback length. It outlines the intermediate calculations: true range, positive and negative directional movement, and the…

Technical indicatorsTrend followingStatistics
MQL5 code base

This short description explains the Ehlers Center of Gravity indicator as a weighted position of prices within an observation window: each price is weighted by its position, and the sum is normalized by the window's total price. The described implementation…

Technical indicatorsStatistics
MQL5 code base

The Juice indicator is presented as a way to identify periods of higher or lower volatility. It compares the current standard-deviation level with a threshold based on average EMA deviation over a selected period. This adaptive reference is intended to avoid…

VolatilityTechnical indicatorsStatistics
Kraken Learn

This survey report describes dollar-cost averaging (DCA), in which investors buy a fixed amount of an asset at regular intervals, and examines how 1,109 crypto investors say they use it. It reports that 59% use DCA as their primary crypto strategy and…

CryptoStatisticsVolatilityRisk management
MQL5 code base

The document describes an MQL5 implementation of an associative array built on collection classes. It uses FNV-1a hashing and provides typed Set and Get operations for primitive values, with examples using strings and doubles. It also permits storing…

ExecutionStatistics
MQL5 code base

The document explains gnome sort as a simple, stable array-sorting method that orders items through adjacent comparisons and swaps. It resembles insertion sort in processing one element at a time, while using swaps to move out-of-order items into place. The…

ExecutionMarket microstructureStatistics
SuperMind

The document describes a simple Chinese A-share stock screen combining recent position-increase share with circulating market capitalization. It selects stocks whose reported increase for the day exceeds 5% and whose circulating value falls between 5 billion…

EquitiesChina marketsStatistics
BigQuant

This summary reports tests of 19 factors derived from sell-side analyst consensus data, covering forecast financial measures and analyst attention. For financial factors, it compares raw values with industry-relative rankings and quarter-over-quarter…

EquitiesFactor investingStatisticsBacktesting
MQL5 code base

This document describes a CCI histogram indicator that adds averaging to the histogram and to its dynamic overbought and oversold levels. Its inputs allow the user to set the CCI period, applied price, volume type, threshold levels, smoothing method and…

Technical indicatorsStatisticsVolatility
BigQuant

This article reviews Word2Vec as an efficient method for learning word vectors from context, and compares it with matrix-based and clustering approaches to distributed representations. It discusses CBOW and Skip-Gram, emphasizing their different update…

Machine learningStatistics
BigQuant

The document presents price resiliency (RES), a covariance-based measure intended to capture both the price impact of liquidity shocks and how long those shocks persist. It compares returns in the first half-hour of trading with returns over the rest of the…

EquitiesStatisticsMarket microstructureFactor investing