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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

SuperMind

This Chinese equity screen selects stocks with daily price amplitude above a threshold, a positive but capped ten-day return, and an appearance on the previous day’s trading activity list. The post frames amplitude as a volatility measure, the return band as…

China marketsEquitiesMomentumVolatility
SuperMind

This stock-selection idea combines three filters: MACD above its zero line, a share price below a stated threshold, and at least two limit-up sessions within a historical lookback. The post says the screen is run before the market opens each trading day. It…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This report develops a framework for rotating between the CSI 300 and ChiNext indices, whose valuations, market capitalizations, and industry exposures differ. It organizes potential drivers of their relative performance into factors covering real economic…

China marketsEquitiesFactor investingPortfolio construction
SuperMind

The proposed Chinese equity screen combines a positive MACD reading with order-book and company filters: first-level bid volume must exceed first-level ask volume, market capitalization must be no more than 10 billion yuan, and net profit must be positive.…

China marketsEquitiesMomentumTechnical indicators
BigQuant

The document introduces MACD as a momentum and trend indicator derived from the difference between a short-period and a long-period exponential moving average. It describes the signal line as an EMA of MACD and the histogram as the difference between those…

Technical indicatorsMomentumTrend following
NautilusTrader

This quickstart walks through a bar-based exponential moving average crossover strategy in a backtesting engine. The strategy waits for its fast and slow averages to initialize, then buys when the fast average is at or above the slow one and sells when it is…

ForexTrend followingTechnical indicatorsBacktesting
MQL5 code base

The document explains Supertrend as an ATR-based trend-following indicator that plots a changing support or resistance band. It describes how volatility sets the band width and how the line changes sides when price movement signals a trend reversal. An…

Trend followingTechnical indicatorsVolatility
BigQuant

This introductory overview explains machine learning as using historical data to fit a model and then applying that model to new cases. A scheduling example illustrates how prior observations can inform a prediction, while noting that a practical model may…

Machine learningStatistics
vn.py community

This community exchange discusses a VeighNa live-trading strategy that uses imported local one-minute bars. The user asks whether a futures-style symbol such as rb2501 is recognized, reports an initialization error indicating that a data service is not…

FuturesExecution
MQL5 code base

This brief description outlines an automated trading strategy built around the Average Directional Movement Index and Bollinger Bands. The EA evaluates signals only when a new bar appears and keeps at most one open position, allowing it to operate on either…

ForexTechnical indicatorsExecution
Cryptohopper blog

This introductory guide explains how to mark support and resistance zones on cryptocurrency charts and inspect technical indicators in TradingView. It recommends locating recent price highs and lows, treating levels associated with heavier volume as…

CryptoTechnical indicatorsMarket microstructure
SuperMind

This stock screen selects shares when MACD is above zero, the five-day moving average crosses above the ten-day average, and first-level bid volume exceeds ask volume. The article presents the conditions as a combination of trend signals and a measure of…

EquitiesChina marketsTechnical indicatorsMarket microstructure
Freqtrade

This strategy describes frequent, small-target long trades on a one-minute chart, using a five-minute moving average as a broad trend filter. Entry conditions combine a fast stochastic crossover with configurable low readings in money flow and stochastic…

CryptoTechnical indicatorsRisk management
FMZ forum

Fundamental analysis estimates a security’s intrinsic value by examining economic conditions, industry trends, company finances, and qualitative factors such as management. Analysts use public information to form a value estimate and compare it with the…

EquitiesFixed incomeStatistics
MQL5 code base

The document gives a brief description of a semaphore-style indicator built from crossovers between the Di Plus and Di Minus lines of a smoothed ADX indicator. It identifies the line relationship used to produce the signal, but does not explain the signal’s…

Technical indicatorsForex
MQL5 code base

The document describes a forex chart indicator that assigns a degree value to price position on the active timeframe and alerts when the trend state changes. It divides readings into bearish, bullish, and stronger versions of each state, with degree ranges…

ForexTechnical indicatorsTrend following
FMZ forum

The article explains grid trading combined with Martingale position sizing and distinguishes traditional, hedged, and trend-oriented variants. Traditional grids place multiple pending orders with fixed, multiplied, or percentage-based sizing. Hedged grids…

ForexGrid tradingPosition sizingRisk management
Amberdata research

This interview summary reports Shawn Douglass’s views on institutional participation in digital assets and DeFi, including how U.S. regulation may affect adoption. It says institutions continued building crypto capabilities after the FTX collapse and points…

CryptoDeFiOptionsArbitrage
BigQuant

This beginner’s post describes an attempted reproduction of a quantitative research report’s “Water Drops Wear Away Stone” factor and a single-factor stock-selection backtest. The author says the implementation was prepared as a learning exercise with help…

EquitiesFactor investingBacktesting
SuperMind

The proposed stock screen combines three short-term technical conditions: daily amplitude above 1, a rising or expanding moving-average configuration for the day, and a shortening negative MACD histogram on a 15-minute chart. The document interprets the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection method looks within China’s metaverse sector for shares ranking among the top five by the day’s auction value, then filters for a 2019 stock-dividend ratio above 25%. The document gives screening logic and example implementations for two…

EquitiesChina marketsFactor investingRisk management
BigQuant

The report estimates a fund’s equity exposure by regressing daily fund returns on daily returns for 29 first-level industry indices. It treats the sum of fitted industry coefficients as the estimated position. Because industry returns are correlated, it…

EquitiesStatisticsMachine learningPortfolio construction
SuperMind

This stock-selection screen combines three conditions: RSI below 65, positive large-order net inflow during the afternoon, and a rising 30-day moving average. The accompanying indicator references use a 14-period RSI and compare closing price with the 30-day…

EquitiesChina marketsTechnical indicatorsMomentum