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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12 documents

QuantStart

The article compares ways to organize a trading business: managed accounts, commodity trading advisory firms, proprietary funds, hedge funds, and family offices. Managed accounts are presented as a lower-cost way to manage separate client accounts and build…

Risk managementFuturesForexEquities
QuantStart

The diary entry describes an early event-driven forex system and its roadmap toward more realistic trading and backtesting. It identifies components already present, including price streaming, signal generation, order execution, local portfolio replication,…

ForexBacktestingExecutionRisk management
QuantStart

This article presents a simplified interface for configuring a forex backtest and extending it to multiple currency pairs. A Backtest object is assembled from price data, strategy, portfolio, and simulated execution components, with strategy settings passed…

ForexBacktestingTechnical indicatorsExecution
QuantStart

The article describes updates to an event-driven forex backtesting system: generating format-compatible simulated tick files, processing daily files sequentially, supporting multiple currency pairs, and plotting equity, returns, and drawdowns. Loading one…

ForexBacktestingExecutionRisk management
QuantStart

This tutorial uses minute-level foreign exchange prices to build return series and calculate rolling realized volatility. It defines realized volatility from squared returns over a chosen interval and applies a rolling standard deviation to represent recent…

ForexVolatilityStatisticsMachine learning
QuantStart

This tutorial shows how to retrieve daily price data from AlphaVantage, convert nested JSON or CSV responses into Pandas DataFrames, and prepare several ETFs for charting. It explains that API responses may default to a limited history, describes sorting and…

EquitiesCryptoForexBacktesting
QuantStart

This diary entry describes an attempt to build a portfolio component for an event-driven automated forex system connected to a broker API. The goal is to keep a local portfolio’s balance, realized and unrealized profit and loss, and open positions aligned…

ForexBacktestingRisk managementExecution
QuantStart

This development diary describes changes to a forex trading system: correcting how positions use bid and ask prices, adding historical tick data from CSV files, and building an initial event-driven backtester. The position update distinguishes trade…

ForexBacktestingExecutionHigh-frequency trading
QuantStart

This diary entry describes updates to a forex backtester that enable trading multiple currency pairs and accounts denominated in currencies other than the traded pair. It explains how positions convert profit and loss from the quote currency into the account…

ForexBacktestingTechnical indicatorsTrend following
QuantStart

This tutorial describes Stooq’s downloadable historical price data and ways to prepare it for analysis. It explains ticker suffix conventions, regional and frequency-based downloads, and the nested directory structure. A single security’s OHLCV file can be…

EquitiesForexCryptoUS markets
QuantStart

This diary entry describes a Python architecture for automated forex trading through a broker API, with practice and live endpoints. A streaming price handler places bid and ask ticks on a shared event queue; a strategy turns tick events into orders; and an…

ForexExecutionMarket microstructure
QuantStart

This tutorial describes a workflow for retrieving intraday foreign exchange aggregates from a market data API, formatting timestamps, plotting closing prices, and calculating percentage returns. It illustrates the process with a major pair and a less…

ForexStatisticsBacktesting