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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

BigQuant

The supplied summary describes research on alternative data and a hiring-count signal for Chinese equities. It says overseas use of alternative data is still developing, with most applications aimed at short-term opportunities, and identifies six…

EquitiesFactor investingEvent-drivenBacktesting
SuperMind

This article presents an A-share selection rule requiring turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%, and positive net buying by major participants in the…

EquitiesChina marketsMomentumStatistics
ProRealCode

This document presents a Holt-style exponential moving average that smooths price while updating an estimate of its local trend. It describes two indicator variants: a single-color average and one that colors the line according to the angle of its slope. The…

Technical indicatorsTrend followingStatistics
BigQuant

The discussion examines a sequence-window feature pipeline for stock data. If rows are filtered before a rolling window is formed, dates can disappear; a nominal three-row window may then combine observations that are not three consecutive days. The answer…

EquitiesMachine learningStatistics
MQL5 code base

The document explains fixed-width fractional differencing (FFD) as a way to make price series more suitable for statistical and machine-learning models while retaining some long-term dependence. It contrasts this with ordinary integer differencing, which can…

Machine learningStatisticsForex
SuperMind

This post describes a Chinese stock screen that selects shares with price amplitude above 1 and positive institutional fund flow, while excluding Beijing-listed A shares. The accompanying indicator example defines fund direction by summing net institutional…

EquitiesChina marketsVolatilityStatistics
BigQuant

This short homework response defines quantitative investing as using scientific methods to seek profitable predictions. It identifies systematic analysis and statistical reasoning as strengths, then cautions that simulated results can create a false sense of…

StatisticsBacktestingMachine learning
Amberdata research

The article explains how inflation, interest rates, and economic growth can shape crypto prices and liquidity. It recommends comparing crypto returns with inflation measures and traditional markets using rolling correlations and regression, since Bitcoin may…

CryptoMulti-assetStatisticsRisk management
MQL5 code base

The Decycler Oscillator transforms the Simple Decycler indicator by applying an Ehlers high-pass half-period filter to suppress strongly low-frequency components. It then expresses the filtered output relative to price and scales the result by a coefficient,…

Technical indicatorsStatistics
MQL5 code base

StdScore is described as an oscillator that represents a selected asset’s price in a separate chart window using a line, bars, or candlesticks. Its calculation is based on a moving average and standard deviation, making it similar in spirit to a standardized…

Technical indicatorsStatisticsBreakoutRisk management
MQL5 code base

This indicator tutorial describes a ZigZag that changes direction after price retraces a configurable percentage of the current wave. It tracks local highs and lows, the current wave’s start and end, and bar distances so it can move a plotted turning point…

Technical indicatorsVolatilityTrend followingStatistics
MQL5 code base

The indicator creates an aggregated trade report from three inputs: a magic number, a start date, and an end date. Its report presents financial results in the account's deposit currency and also in points. Point totals do not account for position sizes, so…

StatisticsBacktesting
BigQuant

The article presents five principles for trading: build decisions around one coherent set of rules, practice execution until it becomes habitual, judge performance over many trades, wait when conditions are noisy, and accept that strategies can fail. It…

Risk managementStatisticsExecutionChina markets
MQL5 code base

The document describes an indicator that applies a moving average to a linear regression and surrounds it with two channel widths, similar in concept to Bollinger bands. It names a narrow channel for reversal signals and a wider channel for breakouts. The…

Technical indicatorsStatisticsBreakoutMean reversion
BigQuant

This short note highlights that feature importance can differ across predictive models, naming StockRanker and XGBoost as examples. It also points to changing the number of leaf nodes and the learning rate as model-tuning choices. These observations can help…

Machine learningEquitiesStatisticsBacktesting
SuperMind

This article describes a factor test of price-to-earnings ratio as a stock selection signal among CSI 300 constituents. It divides stocks into five groups, then compares group returns under weekly and monthly rebalancing. The reported qualitative result is…

EquitiesFactor investingBacktestingChina markets
MQL5 code base

The document describes a trade-history analysis that rebuilds trades from historical deals and reports metrics intended to assess entry and exit efficiency. Maximum adverse excursion (MAE) measures the largest move against a position while it is open, while…

StatisticsRisk managementBacktesting
MQL5 code base

The document introduces an L1 trend filter as a way to extract piecewise-linear trends from noisy price data while retaining major market structure. It describes a demonstration implemented in MQL5 for both float and double vectors, applied to simulated…

StatisticsTechnical indicators
BigQuant

The document addresses a timing problem when using weekly indicators in a daily trading strategy. A weekly calculation may be absent or incomplete during the current week if the data pipeline only forms values after the week closes. Its example asks how to…

EquitiesTechnical indicatorsStatisticsBacktesting
MQL5 code base

MarketPredictor is described as an open-source MetaTrader 5 Expert Advisor that applies mathematical tools to historical prices and future scenarios. Its stated methods include Fast Fourier Transform analysis to identify dominant frequency patterns and Monte…

ForexMachine learningStatisticsBacktesting
Amberdata research

The document outlines a basic backtesting workflow: define a strategy, gather historical data, calculate returns and supporting statistics, then decide whether to deploy or refine the idea. It notes that crypto strategies may use pairs trades, rebalancing…

CryptoBacktestingMarket microstructureStatistics
BigQuant

This essay groups chart-centered approaches such as candlestick analysis, Dow Theory, Elliott waves, Wyckoff methods, and Gann techniques under a broad category of pattern-based trading theories. It proposes examining whether any of their components have…

Technical indicatorsStatisticsRisk managementEquities
BigQuant

A platform user reports that a backtest transaction record can misstate realized profit and loss when a stock position passes through an ex-rights corporate action. The example compares transactions in Chinese equities before and after such an adjustment and…

EquitiesBacktestingStatistics
MQL5 code base

This indicator adapts the advance-decline line to the symbol being analyzed: it counts that instrument’s own advances and declines rather than aggregating other instruments. The document proposes adding floating levels to help assess trend direction because…

Technical indicatorsEquitiesStatistics