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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

79,386 documents

BigQuant

This article introduces convolutional neural networks and explains how one-dimensional convolutions can extract local patterns from financial time series. It describes convolution as applying learned weights across sequence windows, while pooling summarizes…

EquitiesMachine learningFactor investingBacktesting
Cryptohopper blog

The article explains how Bollinger Bands can help traders assess crypto volatility and possible market direction. The bands are described as a moving average with upper and lower boundaries typically set two standard deviations away. Narrowing bands indicate…

CryptoTechnical indicatorsVolatilityBreakout
BigQuant

This Chinese-language course description presents limit-up stock counts as a way to identify active areas of the China equity market. It proposes comparing counts across market capitalization, sectors, and industries, using recent industry counts to locate…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

SimpleBars is a chart indicator that colors candlesticks according to the highs and lows of earlier bars. Its description identifies the comparison with previous bars as the basis for the visual encoding, allowing traders to inspect recent price structure…

Technical indicators
SuperMind

This introductory article explains the basic objects and notation of linear algebra used in machine learning and deep learning. It defines scalars, vectors, matrices, and higher-order tensors, with examples such as feature vectors, neural-network weights,…

Machine learningStatisticsPortfolio construction
MQL5 code base

This document describes an MQL5 class for calculating the Triple Exponential Moving Average (TEMA) with a ring buffer. It outlines initialization options such as the period, smoothing method, buffer size, and series orientation, then describes methods for…

Technical indicatorsTrend following
Binance API docs

This reference explains how to connect to Binance’s SBE market-data WebSocket service and what the streams provide. It covers real-time trade events, best bid and ask updates, incremental order-book depth updates, and periodic snapshots of the top levels.…

CryptoSpot marketsMarket microstructureExecution
SuperMind

This document describes a short-term stock screen using three conditions: daily amplitude above a threshold, a high daily control measure, and a positive product between price change and net flow from very large orders. Its refined version also restricts…

EquitiesMomentumTechnical indicatorsExecution
MQL5 code base

This document describes an adviser that uses the DeMarker indicator to generate signals and place pending limit or stop orders. It checks for a signal only when a new bar begins, then sets the pending order at a configured distance from the current price. A…

Technical indicatorsExecutionRisk management
SuperMind

This note describes a screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose top 20% of shareholders collectively hold less than 70% of shares. It presents these conditions as filters for liquidity and ownership…

EquitiesChina marketsStatisticsRisk management
SuperMind

This note describes a stock screen for A-shares whose codes begin with 60, whose turnover is between 3% and 12%, and whose price-to-earnings ratio is positive. The code example obtains a current trading date and filters listed stocks using those criteria.…

EquitiesChina marketsFactor investingRisk management
MQL5 code base

This note describes a double-smoothed adaptive moving average intended to address frequent slope changes in an adaptive moving average. It places the method in the context of Kaufman's adaptive moving average and a modification that also accounts for where…

Technical indicatorsTrend followingBacktesting
BigQuant

This report reviews Chinese public quantitative funds and private quantitative market-neutral strategies using observations available through March 2022. It groups public funds into market-neutral products, CSI 300 enhanced funds, and CSI 500 enhanced funds,…

EquitiesChina marketsStatisticsFactor investing
SuperMind

This proposed equity screen selects stocks with amplitude above 1, an RSI below 65, and prior-day turnover above 60 million. It combines a price-range measure with a momentum oscillator and a liquidity threshold, aiming to find stocks with activity while…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This proposed equity screen combines membership in the metaverse sector, a rounded price pattern, and a circulating share count capped at 5.5 billion. The article frames the float limit as a way to focus on relatively smaller stocks and suggests…

EquitiesTechnical indicatorsChina markets
SuperMind

This stock-selection screen combines price amplitude above 1, a dividend-related payout ratio above 25% for 2019, and a rising-bottom condition. The explanation treats larger amplitude as a sign of greater trading opportunity, the dividend filter as a way to…

EquitiesTechnical indicatorsVolatilityRisk management
MQL5 code base

This MetaTrader expert advisor detects bullish and bearish inside-bar patterns and opens corresponding long or short positions. It offers three position-handling modes: open a position at every signal with stop-loss or take-profit exits; reopen positions in…

ForexBreakoutTechnical indicatorsRisk management
MQL5 code base

The document introduces the DecisionPoint Price Momentum Oscillator, originally developed by Carl Swenlin, and describes a comparison approach attributed to Vitali Apirine. The method applies the oscillator to compare the relative momentum of two securities.…

Technical indicatorsMomentumStatistics
Qlib

This configuration describes a Qlib workflow for training a binary LightGBM model on one-minute CSI 300 data from China. It uses the Alpha158 feature handler, robust feature normalization, missing-value filling, and cross-sectional label ranking. The label…

EquitiesHigh-frequency tradingMachine learningChina markets
SuperMind

This Chinese equity screening rule ranks stocks by capital strength and requires more than two limit-up days in the past ten days. It also requires a nonempty name for an outstanding convertible bond. The article explains these conditions as signs of…

EquitiesMomentumChina marketsTechnical indicators
SuperMind

This research summary reviews six studies on industry rotation and index enhancement in China. Its multi-factor framework considers expected and historical fundamentals, price and volume information, market leadership, and system-risk concentration. It…

China marketsEquitiesFactor investingMomentum
MQL5 code base

FanMA2 represents a fan of moving averages as an oscillator in a separate chart window. Its values stay within a range of plus one to minus one, and the display includes a smoothed average line. The description outlines the indicator’s configurable…

Technical indicatorsTrend following