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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

FMZ forum

This essay argues that quantitative, discretionary, short-term, long-term, active, and passive approaches coexist within a market ecosystem. It warns that historical models can fail in unusual conditions, crowded strategies may lose their edge, and…

Risk managementPortfolio constructionMarket microstructureHigh-frequency trading
BigQuant

The report treats corporate events as equity style factors and evaluates them within a multi-factor research framework. It describes differences in event prevalence across industries and relationships between event factors: private placements and dividends…

EquitiesFactor investingEvent-drivenStatistics
MQL5 code base

The document describes a simple price/volume indicator that divides price by volume and uses a simple moving average as its price input. It offers only a brief description of the calculation and does not specify a formula for the averaging period, signal…

Technical indicatorsStatistics
SuperMind

The post describes an equity screen combining company profitability, market capitalization, and a measure of today’s increase in holdings. Its stated conditions include companies without losses and a buying-activity threshold above 5%. The title refers to…

EquitiesChina marketsStatistics
MQL5 code base

The indicator described here displays the standard Commodity Channel Index as a histogram after rounding its values to selected increments. Available settings range from no rounding through division by progressively larger values, including a coarse setting…

Technical indicatorsStatistics
MQL5 code base

This note describes a modification to the Stochastic RVI signaling approach attributed to John Ehlers. The original method uses a trigger line that the document characterizes as functioning like an exponential moving average. Although that trigger may be…

Technical indicatorsStatistics
SuperMind

This stock-selection screen combines a daily price-range condition, a minimum circulating market value, and a profitability filter requiring return on equity above a stated threshold across five years. The document presents the combination as a way to find…

China marketsEquitiesFactor investingStatistics
FMZ forum

This introduction explains technical analysis as the study of an asset’s price history and chart behavior to inform trading decisions. It presents charts as a visual way to inspect past prices, current direction, movement variability, and signs of market…

Technical indicatorsStatisticsVolatility
Stratmill research code

This method uses principal component analysis to separate broad equity return drivers from stock-specific residuals, then trades residual portfolios expected to revert toward equilibrium. Returns are standardized before estimating their correlation matrix;…

EquitiesMean reversionArbitrageStatistics
BigQuant

This tutorial introduces feedforward neural networks, convolutional neural networks, recurrent neural networks, and LSTMs. It explains how perceptrons combine features with learned weights and an activation function, how layers build representations, and how…

Machine learningStatistics
BigQuant

The study estimates duration for medium- and long-term pure bond funds using rolling regressions of fund returns on bond-index returns across maturity segments. It compares constrained linear regression, stepwise selection, and LASSO, selecting LASSO to…

Fixed incomeStatisticsFactor investingEvent-driven
MQL5 code base

This Expert Advisor provides a framework for testing whether the previous trading day’s direction predicts continuation or reversal on a selected weekday. Users can choose weekdays and compare entries that follow or oppose the prior day’s move. Positions may…

StatisticsBacktestingTechnical indicatorsPosition sizing
FMZ forum

The article introduces financial time series as sequential observations modeled as realizations of stochastic processes. It identifies trends, seasonal variation, and serial dependence as recurring features, with volatility clustering and commodity…

StatisticsVolatilityMachine learning
MQL5 code base

Aroon Horn is described as a trend-direction indicator built from the Aroon indicator. It aims to filter minor price fluctuations and displays bullish, bearish, and filtered or neutral readings with different colors. The user can adjust the calculation…

Technical indicatorsTrend followingStatistics
SuperMind

The document explains factors as measurable characteristics of assets that can serve as inputs to quantitative models and investment strategies. It outlines four common feature-engineering steps: cleaning missing or erroneous observations, standardizing…

Factor investingMachine learningStatisticsEquities
MQL5 code base

This document introduces an indicator that draws a vertical histogram representing the distribution of extreme prices. It identifies the author and says the indicator was originally written for MQL4 and published in 2012. The available description is brief:…

Technical indicatorsStatistics
MQL5 code base

MT4Orders QuickReport is a browser-based reporting tool for trades from MT4, MT5, and virtual testers. It moves report calculations and chart generation into JavaScript and paginates large reports. The described views include profit and loss over time,…

BacktestingStatisticsExecutionMarket microstructure
MQL5 code base

GMACD is presented as a two-line MACD indicator intended for trading platforms that do not include this variant by default. The description identifies configurable smoothing methods for the histogram and signal line, along with fast and slow moving-average…

Technical indicatorsStatistics
MQL5 code base

The document describes a market indicator inspired by Edgar Peters’s work and based on the Bollerslev GARCH model. It presents the indicator as a way to track changing volatility: its value rises when market volatility is high. The author also suggests that…

VolatilityTechnical indicatorsStatistics
BigQuant

This research summary presents a framework for replicating the returns of an index, fund, or individual stock with a selected set of holdings. It first applies LASSO regression to choose securities that capture the target portfolio’s characteristics, then…

EquitiesMachine learningPortfolio constructionBacktesting
MQL5 code base

The document describes the Forecast Oscillator, attributed to Tushar Chande and based on his Time Frame Forecast method. It says the indicator compares the applied price with the prior time-series forecast and expresses the difference as a percentage of…

Technical indicatorsStatistics
FMZ forum

A strategy performance report brings together trade records, returns over different periods, graphs, and summary statistics for either historical tests or live trading. The document recommends beginning with total net profit, profit factor, percent…

BacktestingStatisticsRisk management
BigQuant

This study note explains how to build a directed stock network from news coverage: a stock named in a headline is treated as a lead, while stocks mentioned in the article body are followers. Edge weights count their co-occurrences over a rolling window. The…

EquitiesSentimentStatisticsFactor investing
ProRealCode

This indicator is designed to add context to bullish and bearish engulfing patterns. At a bearish engulfing, it counts the consecutive prior closes above a moving average; at a bullish engulfing, it counts consecutive prior closes below the average and…

Technical indicatorsMean reversionStatistics