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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

9,660 documents

Quant Q&A

The document discusses what can happen to expiring put options when the underlying security remains halted, using RSX options as the motivating case. It summarizes an Options Clearing Corporation policy: when the clearinghouse knows by expiration Monday that…

OptionsDerivatives pricingRisk managementExecution
Quant Q&A

The post describes an attempted infinite-horizon Avellaneda–Stoikov market-making implementation. It gives a nonlinear equation for an inventory value function, with an inventory penalty, bid and ask arrival rates, fill-decay parameters, and maker rebates or…

Market makingExecutionBacktestingRisk management
Quant Q&A

The response addresses several interview-style questions about option risk. For a delta-hedged short call, it identifies negative gamma: large moves in either direction are harmful, while smaller moves can help, with volatility changes offering a related way…

OptionsDerivatives pricingRisk managementExecution
Quant Q&A

The document investigates why Bloomberg Terminal trade displays and Bloomberg Desktop API tick timestamps can appear to fall on different calendar days. Its example compares a Japanese equity trade shown by the Terminal in Eastern Time with the API’s UTC…

EquitiesMarket microstructureExecution
Quant Q&A

The document concerns retrieving historical option identifiers through Refinitiv Eikon or Datastream services, especially for expired contracts linked to an underlying security. The question asks how to turn an ISIN, RIC, or mnemonic into a list of…

OptionsDerivatives pricingExecution
Quant Q&A

The document asks for practical accounts of how trading, high-frequency trading, or asset-pricing companies are established, including choices about data sources and hiring. The answers point to a general high-frequency trading book and to firsthand material…

High-frequency tradingMarket microstructureExecution
Quant Q&A

The document discusses why high-frequency traders submit and quickly cancel limit orders. One explanation is routine event-driven market making: algorithms update quotes as order-book events change their estimate of fair value, producing frequent…

High-frequency tradingMarket microstructureExecutionMarket making
Quant Q&A

The document explains how electronic communication networks may assess whether a liquidity taker’s FX flow is difficult for liquidity providers to monetize. Its central diagnostic is an aftermath chart: average mark-to-market profit from the provider’s…

ForexMarket microstructureExecution
Quant Q&A

This troubleshooting account describes a QuantLibXL failure triggered intermittently by Excel’s Paste Values shortcut. A worksheet formula passed into a QuantLib calendar function could return #NUM! after the shortcut was used, and subsequent calls continued…

OptionsExecution
Quant Q&A

The document considers how to build continuous futures price histories for a multi-market backtest. The questioner describes using backward Panama adjustment, rolling when open interest switches, and selecting the first listed contract across a diverse set…

FuturesBacktestingExecution
Quant Q&A

The document describes an attempted search for option combinations whose payoff would remain profitable across possible underlying prices. The original example combines short puts and calls with long options at other strikes, and the author asks whether the…

OptionsArbitrageDerivatives pricingExecution
Quant Q&A

The document asks how to test whether a pairs trading strategy has predictive power, and whether detrending methods used for other trading systems apply when the traded signal is already a linear combination of two price series. The answers outline two…

Pairs tradingStatisticsBacktestingExecution
Quant Q&A

The document surveys possible sources for historical intraday US equity data, ranging from downloadable datasets and finance websites to broker APIs, data vendors, and exchange samples. It mentions data at several granularities, including minute, hourly,…

EquitiesUS marketsExecutionMarket microstructure
Quant Q&A

The document raises a problem in testing the square root market impact law when a dataset does not identify metaorders directly. It describes using activity during an early market window and unusually large order size as proxies, then observes that the…

Market microstructureStatisticsExecution
Quant Q&A

The discussion considers how to turn exchange-provided half-second Level 1 buckets into hourly or daily observations. It treats fixed-time snapshots as a valid sampling choice, while emphasizing that the right price measure depends on the intended analysis.…

Market microstructureStatisticsExecution
Quant Q&A

The document considers whether buying or shorting before the open and closing at the end of the day can be profitable. It raises concerns about intraday news, noise, and competition, then presents a simplified target-and-stop gamble to explain why trading…

EquitiesExecutionRisk managementStatistics
Quant Q&A

The discussion explains how a strategy with a slower decision schedule can use high-frequency trades, quotes, or order-book updates without treating every update as a trading signal. The proposed approach is to calculate features from the updates, such as…

Market microstructureExecutionHigh-frequency tradingStatistics
Quant Q&A

The note asks where to find the instruments and quantities in an ETF’s creation unit basket, information that can support comparisons between the ETF and its underlying basket. It distinguishes exact basket composition from general marketing material…

EquitiesArbitrageExecution
Quant Q&A

This exchange explains why buying when a short-term exponential moving average crosses above a longer-term average may appear effective on a chart but fail as a trading strategy. The main failure mode described is a market moving sideways rather than…

Technical indicatorsTrend followingExecutionBacktesting
Quant Q&A

The accepted response argues that an internet-connected retail brokerage API is unsuitable for high-frequency market making. It cites limits on streaming market data and API messaging, restrictions on active orders, and cancellation fees as barriers to…

Market makingHigh-frequency tradingExecutionMarket microstructure
Quant Q&A

The document explains why feeding historical order-book updates into a fresh matching engine can produce cancellations or executions for orders the engine never saw. The underlying issue is incomplete initial state or limited market-by-order coverage: a data…

Market microstructureBacktestingExecution
Quant Q&A

The document asks how a market maker can incorporate information from a correlated asset when estimating the mid price of the instrument being quoted. In delta-neutral market making, the mid estimate can respond to moves in a related asset that tends to lead…

Market makingMarket microstructureStatisticsExecution
Quant Q&A

The answer argues that exploiting a predictable market pattern can change prices and weaken the pattern itself. It illustrates this with a hypothetical weekday effect: if traders buy ahead of the expected rise and sell into it, their activity may shift…

Market microstructureExecutionStatistics
Quant Q&A

The document addresses how to place several orders when a trading target is expressed as a price interval rather than a single price. Its proposed approach first sets the number of orders according to the capital allocated to the decision and the minimum…

ExecutionPosition sizingMarket microstructure