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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

29,558 documents

vn.py

This operational guide explains how to run multi-contract portfolio strategies through VeighNa Elite Trader’s PortfolioStrategy module. It covers loading strategy classes, creating instances with symbols, gateways, and typed parameters, then initializing…

Multi-assetExecutionRisk management
Cryptohopper blog

The article introduces algorithmic trading as a way to automate rule based strategies and reduce some burdens of manual trading. It describes bots as tools for applying predefined entry and exit conditions across markets, including trend following,…

Multi-assetBacktestingExecutionTechnical indicators
Kraken Learn

The document explains Convex Finance as an intermediary for Curve liquidity providers and CRV holders. Users stake assets through Convex to access boosted CRV rewards, CVX incentives, and other reward tokens. It describes cvxCRV as a receipt for CRV…

CryptoDeFiRisk management
SuperMind

This Chinese equity screen combines daily price movement with dividend and institutional-holding filters. It seeks stocks with an intraday range above one percent of the opening price, a stated 2019 dividend measure above 25%, and a positive institutional…

EquitiesChina marketsVolatilityFactor investing
MQL5 code base

The HighestLowestRange indicator is presented as a histogram that marks entry into overbought and oversold zones with color changes. Its first bar in a newly entered zone receives a brighter color when the move follows an opposite trend, drawing attention to…

Technical indicatorsStatisticsRisk management
SuperMind

This Chinese equity screen focuses on stocks classified in the metaverse industry. It selects shares whose opening price falls within five percent above or below the 10-day simple moving average of closing prices, and whose current low is below the previous…

EquitiesChina marketsTechnical indicatorsMomentum
NautilusTrader

This document explains how NautilusTrader builds, publishes, and verifies release artifacts across Python packages, Rust crates, Docker images, and GitHub Releases. Its release process anchors package integrity to a draft GitHub release: artifacts are…

Risk managementExecution
ProRealCode

The document describes a multi-day strategy for DAX contracts for difference using hourly signals. A QQE indicator supplies long and short triggers, while a Universal indicator acts as a directional filter. Separate month-specific multipliers scale long and…

FuturesTechnical indicatorsTrend followingBacktesting
Qlib

This document describes a data preparation workflow for daily risk estimates on China A-shares. For each date, it selects the CSI 300 constituents, gathers a rolling window of closing prices, calculates returns, and clips extreme returns at the…

China marketsEquitiesStatisticsRisk management
SuperMind

This document describes a Chinese equity screen for stocks with turnover between 3% and 12%, excluding the STAR Market and selecting companies listed in 2021. It presents the turnover band as a way to focus on stocks with some trading activity that may still…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This A-share selection rule combines daily amplitude above 1, a reported daily control measure above 21, and a specified drawdown range between roughly 4% and 5%. The article presents the conditions as technical and market-flow signals, interpreting…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

This paper summary challenges common ways of measuring whether assets diversify one another during poor market conditions. It argues that estimating downside correlation only on observations when both assets perform poorly omits cases where one asset gains…

Portfolio constructionStatisticsMulti-assetRisk management
Hummingbot docs

The document describes an automated dollar-cost averaging executor that distributes an entry or exit across a sequence of orders. Its configuration includes a market, trading pair, side, order amounts and prices, leverage, order mode, and optional profit,…

ExecutionSpot marketsPerpetual futuresPosition sizing
SuperMind

This A-share screen combines RSI below 65, seven consecutive sessions with closes below opens, and previous-day actual turnover between 3% and 28%. The article explains turnover as a measure of trading activity and capital flow, using the band to avoid both…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

The document compares three option structures for different views on movement and expiry price. A long straddle buys a call and put at the same strike, while a long strangle uses different strikes; both seek a substantial move in either direction and have…

OptionsVolatilityDerivatives pricingRisk management
MQL5 code base

This description outlines an Expert Advisor that opens and closes orders at configured times. The user sets the opening and closing day, hour, and minute, chooses whether to open buy orders, sell orders, or both, and specifies lot size. Optional take profit…

ExecutionPosition sizingRisk management
BigQuant

This article explains time inconsistency in investment decisions: a plan that appears optimal today may no longer suit the investor later as circumstances or preferences change. It contrasts rigid pre-commitment with a dynamic equilibrium strategy designed…

Portfolio constructionRisk managementStatistics
SuperMind

This post describes a short-term stock selection rule built from three technical conditions: daily high-low range above one percent, opening price within two percent of the 10-day moving average, and MACD below zero two sessions earlier. It presents the…

EquitiesTechnical indicatorsMomentumRisk management
FMZ forum

The author explains why Bitcoin markets can suit systematic trading, citing continuous access, low entry barriers, active spot and futures markets, and opportunities across platforms. The main lesson is to understand the economic reason a strategy should…

CryptoArbitrageFuturesSpot markets
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, year-over-year growth in parent-company net profit above 20% and at or below 100%, and at least two limit-up days during the prior 500 days. It also excludes selected growth-market…

China marketsEquitiesMomentumFactor investing
SuperMind

This Chinese stock-screening idea combines three signals: a strong volume-to-float-market-cap ratio, a previous-day 9:15 auction match at the limit-down price, and shortening green MACD histogram bars on a 15-minute chart. The stated rationale is that a…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

These reading notes discuss James Simons and Renaissance Technologies as an example of systematic investing built by combining mathematical research, statistical signals, computer models, and automated execution. The notes contrast discretionary investing,…

StatisticsArbitrageRisk managementExecution
MQL5 code base

This MetaTrader 5 expert advisor combines Supertrend direction with ADX trend strength and the relative positions of +DI and −DI. It checks signals once per new signal-timeframe bar using the prior completed candle. A long or short entry requires the…

FuturesTrend followingTechnical indicatorsRisk management
MQL5 code base

i-DivergenceBar is described as an indicator that marks potential reversal bars using the Profitunity system associated with Bill Williams. The note says its method excludes the angle of the Alligator indicator’s mouth, so the signal description does not…

Technical indicatorsTrend followingRisk management