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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
WonderTrader
14 documents
Alphalens
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 book section surveys advanced MQL5 capabilities for building MetaTrader 5 software. Topics include custom financial symbols, economic calendar events, networking, databases, cryptography, libraries, software packages, and organizing related programs…

ExecutionMachine learningStatisticsTechnical indicators
BigQuant

The discussion clarifies how to read a BigQuant money-flow factor field whose name ends in a zero window. The question is whether “past zero trading days” means there are no observations to average, even though the description refers to an average net active…

Factor investingStatistics
ProRealCode

This indicator estimates buy and sell volume from each candle’s range and open and close prices. It allocates volume across candle sections, assigning the resulting estimates to buying or selling according to whether the candle closes at or above its open.…

Technical indicatorsStatisticsMarket microstructure
BigQuant

This short troubleshooting note addresses a BigQuant model-training failure that reports a ValueError because a maximum is being computed over an empty sequence. It attributes the problem to a parsing issue when feature or factor names are renamed. The…

Machine learningStatistics
MQL5 code base

The Balance of Power indicator is presented as an oscillator for gauging relative buying and selling pressure and spotting possible trend reversals. Its calculation compares the close with an earlier open, then scales that difference by the high-low range…

Technical indicatorsStatistics
BigQuant

This brief indicator note introduces Island Reversal, abbreviated IR, and lists its inputs as close, high, low, a lookback length, and a percentage parameter. Its pseudocode calculates prior-period high and low boundaries, then derives two price levels…

EquitiesTechnical indicatorsStatistics
BigQuant

The post asks whether a feature expression can take the maximum of four moving averages and whether a similar expression can calculate their standard deviation for one day. The example uses 5-, 10-, 30-, and 60-day averages as four contemporaneous values,…

Technical indicatorsStatistics
BigQuant

This report outlines a first step in building a multifactor model: choosing which factors to combine. It proposes screening combinations using three criteria: how strongly a factor differs from benchmark exposure, how correlated the factors are with each…

Factor investingEquitiesPortfolio constructionStatistics
BigQuant

This research summary outlines three refinements to genetic programming for finding stock-selection factors: fitness measures based on mutual information and long-only excess return, ways to transform nonlinear factors, and validation procedures intended to…

EquitiesFactor investingMachine learningStatistics
MQL5 code base

The document introduces a volatility ratio as a way to distinguish quieter market conditions from more volatile ones. It contrasts this approach with standard deviation, arguing that a ratio with a reference level can make relative volatility states easier…

VolatilityTechnical indicatorsStatistics
Amberdata research

This article introduces four ways portfolio managers can adapt familiar valuation concepts to blockchain assets. A discounted cash-flow approach replaces conventional corporate cash flows with protocol value accrual, such as transaction fees or staking…

CryptoOn-chain dataStatisticsCommodities
BigQuant

This report studies the accuracy of analysts’ consensus earnings-per-share forecasts for China A-shares and develops forecast-bias signals for stock selection. Its full-sample statistics indicate substantial errors and an overall optimistic bias. An…

EquitiesFactor investingEvent-drivenStatistics
MQL5 code base

The document describes a price-derived oscillator that displays the difference between price and a Delta measure as a histogram. It specifies no user-adjustable input parameters. The calculation begins with the average of the open, high, low, and close…

Technical indicatorsStatistics
BigQuant

This study evaluates 19 factors derived from sell-side analyst consensus data, including forecasts of financial measures, analyst ratings, and attention. It tests the factors in several Chinese equity universes and across industries. For financial forecast…

EquitiesFactor investingStatisticsChina markets
SuperMind

This Chinese-language article describes an equity screen based on price amplitude, prior-day trading activity, and opening-auction turnover. The stated final rule selects stocks whose amplitude exceeds one, whose prior-day turnover exceeds 60 million, and…

EquitiesVolatilityTechnical indicatorsStatistics
SuperMind

This Chinese-language description outlines an equity screening rule that combines a daily amplitude threshold, a high equal to the highest high across two days, and positive afternoon large-order net inflow. Its rationale is to pair price movement and a…

EquitiesTechnical indicatorsMomentumStatistics
ProRealCode

The U Trend Sensor is an oscillator built from two triangular moving averages with different lookback periods. Each average is updated only when it moves beyond a percentage threshold relative to its current level, creating step-like series. The indicator…

Technical indicatorsTrend followingStatistics
MQL5 code base

The Percentage Volume Oscillator (PVO) compares a fast and a slow moving average of tick volume to describe changes in volume momentum. The indicator can display its main line, a signal line, and a histogram, with configurable periods and moving-average…

Technical indicatorsMomentumStatistics
MQL5 code base

The document introduces Markov chain Monte Carlo as a numerical approach for approximating Bayesian posterior distributions when analytical integration is impractical, especially in models with many parameters. It explains the Metropolis algorithm as a basic…

StatisticsMachine learning
Stratmill research code

This code module outlines methods for constructing sparse portfolios intended to exhibit mean reversion. It includes Box–Tiao canonical decomposition, greedy support selection, semidefinite optimization under volatility constraints, and sparsity methods…

Mean reversionPortfolio constructionStatisticsMachine learning
SuperMind

This document proposes screening Chinese stocks by price range, a K-line condition described as being below 20, and descending money strength. It characterizes money strength as a way to infer buying and selling pressure from price direction and trading…

China marketsEquitiesTechnical indicatorsMomentum
ProRealCode

This indicator transforms the MACD into a bounded measure by scaling its current value against the highest and lowest MACD readings over a rolling normalization window. It then applies smoothing to the normalized series and calculates a signal line from that…

Technical indicatorsMomentumStatistics
SuperMind

This research summary examines whether company managers adjust reported earnings to meet individual analyst forecasts, beyond the incentive to meet consensus estimates. It describes a study using the change in effective tax rate from the third to fourth…

EquitiesStatisticsEvent-drivenChina markets
ProRealCode

Kosaten Hyo is a chart indicator that maps Ichimoku events to chess-piece symbols. It marks Tenkan-sen and Kijun-sen crossings as possible trend-start signals, and uses their close alignment to identify named Katana and Daisho patterns. It also marks price…

Technical indicatorsTrend followingForexStatistics