Skip to content

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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

79,386 documents

BigQuant

This brief strategy note outlines an equity selection approach using a random forest regression model. It adds features such as beta and technical indicators, including MACD and Williams %R, and predicts a return-style target calculated from the difference…

EquitiesMachine learningTechnical indicatorsPosition sizing
FMZ forum

The document describes a multi-asset cryptocurrency strategy that allocates capital across selected USDT pairs and places staged buy orders as prices fall through preset levels. Each level uses a specified share of the amount assigned to that asset.…

CryptoGrid tradingPosition sizingBacktesting
Stratmill research code

The tutorial describes a faster backtesting approach that precomputes fill conditions across intervals, reducing the need to replay every depth update or estimate queue position. It retains feed and order-entry latency but omits order-response latency.…

BacktestingExecutionMarket microstructureHigh-frequency trading
BigQuant

This research summary proposes measuring whether trading in a stock is unusually one-sided. It classifies five-minute candles by their bodies as consensus or non-consensus activity, then measures consensus volume as a share of daily volume. Splitting that…

EquitiesFactor investingMomentumStatistics
vn.py

This code example outlines a vn.py workflow for backtesting an ATR-RSI strategy on a Chinese equity index futures contract. It configures the instrument, minute interval, historical dates, commissions, slippage, contract size, tick size, and starting…

FuturesBacktestingTechnical indicatorsStatistics
MQL5 code base

This document describes an indicator that measures the size of recent highs and lows over configurable lookback periods, using a calculation likened to a price channel. Its histogram separates high-range readings from low-range readings and colors bars…

Technical indicatorsVolatilityBreakoutBacktesting
Amberdata research

The report explains how AAVE v2 liquidators repay part of an undercollateralized loan and receive collateral with a protocol bonus. It examines stablecoin debt backed by ETH from 2021 to 2023, relating liquidation activity to ETH price drops and volatility.…

CryptoDeFiOn-chain dataExecution
BigQuant

This literature summary describes research on the historical characteristics and investment relevance of sentiment signals drawn from news and social media over a 20-year period. The underlying study compares the information in the two source types, examines…

SentimentStatisticsBacktesting
SuperMind

The document proposes an A-share stock screen combining daily range, recent limit-up behavior, and buying activity attributed to large orders during the opening auction. A candidate must have a daily high-low range above 1%, at least one limit-up day in the…

EquitiesChina marketsMomentumBreakout
MQL5 code base

This note describes a Rate of Change (ROC) oscillator paired with a moving average signal line. ROC measures the percentage change in closing price relative to the close a chosen number of bars earlier; the signal line smooths the ROC series using a selected…

Technical indicatorsMomentumStatistics
SuperMind

This article proposes screening Chinese equities for market value below 10 billion yuan, a volatility condition, and positive profitability over recent years. It describes combining a price range measure with a subjective assessment of company quality and…

EquitiesChina marketsTechnical indicatorsFactor investing
Hummingbot docs

This guide explains how to connect a Hummingbot client to a centralized exchange or a blockchain protocol. Users run the connect command with the connector name, then enter the requested credentials. Exchanges generally ask for API keys, while blockchain…

CryptoExecutionRisk management
SuperMind

This Chinese-language post outlines a stock screen that ranks shares by trading-volume strength and selects those near the top of the ranking. It adds a 15-minute MACD condition: the green histogram bars should be shrinking, which the post interprets as a…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

The strategy combines five-bar fractals with the Alligator’s Teeth to identify breakout entries. A buy fractal is a local high with two lower highs on either side; a sell fractal is a local low with two higher lows on either side. When a buy fractal forms…

ForexBreakoutTechnical indicatorsTrend following
MQL5 code base

This brief document introduces an oscillator intended to show price velocity and acceleration. Its configurable inputs are the period used to calculate velocity, the period used to calculate acceleration, and the applied price series. The description does…

Technical indicatorsMomentum
MQL5 code base

The document describes an expert advisor that looks for price discrepancies among EURUSD, USDJPY, and EURJPY. It multiplies the ask prices of EURUSD and USDJPY to estimate an implied EURJPY price, then compares that estimate with the direct EURJPY price. A…

ForexArbitrageExecution
ProRealCode

This proposed GBP/USD strategy uses four-hour bars and seeks reversals around a 40-period exponential moving average. It adds a 30-period Fractal Dimension Index filter, permitting entries only when the calculated value is below 1.5. The entry conditions…

ForexMean reversionTechnical indicatorsBacktesting
SuperMind

This post proposes a short-term Chinese equity screen using three conditions: prior-session amplitude above 1%, tradable share count no greater than 5.5 billion, and at least one limit-up during the first three months of 2021. The rationale is to combine…

EquitiesVolatilityBreakoutRisk management
MQL5 code base

The document introduces a MACD variation that uses double exponential moving averages (DEMA) in place of standard exponential moving averages (EMA) for its calculation. It attributes the idea to Patrick Mulloy’s 1994 article on smoothing data with faster…

Technical indicatorsMomentum
SuperMind

This post describes a Chinese equity screening rule combining current turnover, top-of-book order volume, and previous-day turnover. It selects stocks with turnover between 3% and 12%, more displayed volume at the best bid than at the best ask, and prior…

EquitiesMarket microstructureTechnical indicators
MQL5 code base

This description covers a calculator intended specifically for forex currency pairs. It supports direct quotes, indirect quotes, and cross rates, and estimates the monetary value of one point for a currency pair. It also calculates the maximum stop loss for…

ForexPosition sizingRisk management
SuperMind

The post proposes a Chinese equity screen for beverage and alcohol import or export stocks. It combines an amplitude threshold with three moving averages aligned in a bullish order, described as simultaneous golden crosses, then selects a limited number of…

EquitiesTechnical indicatorsMomentumChina markets