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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

9,660 documents

Quant Q&A

The document compares academic optimal-control models, especially Avellaneda–Stoikov, with the concerns a practitioner might face. The question highlights inventory-based quote skew, model complexity across many assets, and omitted inputs such as predictive…

Market makingMarket microstructureExecutionEquities
Quant Q&A

The discussion outlines how informed trading may affect market prices and liquidity. When informed order flow increases, market makers face greater adverse-selection risk and may reduce their activity, diminishing liquidity. Imbalanced order flow can then…

Market microstructureStatisticsExecution
Quant Q&A

The discussion surveys ways to make financial and derivatives data easier to interpret. It recommends starting with clear plots such as scatterplots, payoff diagrams, and heatmaps, and cautions that complex graphics can obscure patterns or imply…

StatisticsMarket microstructureExecution
Quant Q&A

The document considers order-book entries that display price and volume but no visible buyer or seller count, alongside similar-sized bid and ask volumes that remain separated by a spread and refresh frequently. It offers possible explanations rather than…

Market microstructureExecutionEquities
Quant Q&A

The document asks where to obtain real-time foreign exchange data at intervals shorter than one minute, including buy and sell quotes and recent trades. It notes that the questioner’s searches of two data services found a one-minute minimum, then gathers…

ForexMarket microstructureExecution
Quant Q&A

The question describes a hypothetical illiquid stock whose price tends to return to $10 after moving by about $1. With sparse orders, bids no higher than $8, and asks no lower than $12, it proposes improving the best available quote by $1 to attract trades…

Market makingMarket microstructureExecutionMean reversion
Quant Q&A

The document asks how to close an in-the-money American put in a limited-margin IRA when the option has poor liquidity, uncovered options and short stock positions are prohibited, and exercising would forfeit remaining time value. It considers buying a…

OptionsVolatilityRisk managementExecution
Quant Q&A

The discussion considers what an interface for monitoring an algorithmic portfolio should show. Its central design principle is to choose metrics and visualizations according to the strategy and the decisions the dashboard must support, rather than building…

Risk managementPairs tradingExecutionPortfolio construction
Quant Q&A

The document discusses whether exchanges cap the total number of resting orders in an order book. Its main answer is that limits are often applied at the trader or participant level, such as constraints on the number of open orders or the rate at which…

Market microstructureExecutionRisk management
Quant Q&A

The document explains why stock positions remain open overnight even when some day traders prefer to close before the market shuts. Long-horizon investors and institutions—including mutual funds, private individuals, and bank portfolios—may hold shares as…

EquitiesExecutionStatisticsBacktesting
Quant Q&A

The document examines how a market maker might manage exposure after buying ETF shares from a customer. Hedging every underlying component immediately can be impractical for a large index basket, especially when fills are small and component share quantities…

EquitiesMarket makingExecutionRisk management
Quant Q&A

The document explains why exchange-traded futures can be bought and sold as standardized instruments even though individually negotiated forwards may carry different delivery prices. Exchanges specify common contract terms, such as the underlying and…

FuturesCommoditiesMarket microstructureExecution
Quant Q&A

The document discusses implicit equity trading costs and the market conditions that shape them. A central explanation is adverse selection: market makers facing informed traders risk trading at prices that will soon move against them. They may respond by…

EquitiesExecutionMarket microstructureVolatility
Quant Q&A

The document explains why daily forex observations cannot be transformed into tick bars or volume bars. Daily prices are aggregates of underlying market activity, so they do not retain the sequence of individual quotes, trades, or trade sizes needed to…

ForexMarket microstructureExecutionStatistics
Quant Q&A

The document considers how to speed up repricing American equity options after constructing implied volatility surfaces. It describes the existing workflow of smoothing end-of-day surfaces and applying finite-difference pricing with discrete dividends, then…

OptionsDerivatives pricingExecutionMarket microstructure
Quant Q&A

The document explains why greater market volume generally lowers trading costs and how to measure execution cost. It proposes comparing the trade’s volume-weighted average price with the mid price when the order was sent, adjusting for whether the trade was…

EquitiesExecutionMarket microstructure
Quant Q&A

The document distinguishes a bid or ask tax from a transaction tax: the charge applies when a limit order is submitted, even if the order never trades. It describes two laboratory double-auction studies in which participants traded against experimenter-set…

Market microstructureExecutionStatistics
Quant Q&A

The discussion considers GPU selection for parallel quantitative finance workloads, with the original question asking whether hardware should favor multiplication over addition. One answer suggests that for MATLAB or Python on a single machine, the…

Multi-assetExecutionBacktesting
Quant Q&A

The document explains why futures positions commonly end without physical delivery. It describes offsetting as closing a position by taking the opposite side in the same number of standardized contracts before expiration. The responses distinguish exposure…

FuturesCommoditiesExecution
Quant Q&A

The document explains why the calendar spread between nearby German government bond futures can differ from zero and why rolling a position has a cost. Ignoring delivery options and margining, a bond future can be approximated as a forward whose fair value…

Fixed incomeFuturesCarryExecution
Quant Q&A

The document considers storage for real-time stock ticks and aggregation into volume clusters by time period, price, and trade side. The desired output groups buy and sell volume at each price over intervals ranging from minutes to hours. It asks which…

EquitiesMarket microstructureExecutionStatistics
Quant Q&A

The document describes how market makers can hedge index options without trading every constituent in the underlying equity basket. For options written on index futures, a single option’s delta exposure can be offset by trading the corresponding futures…

OptionsFuturesMarket makingExecution
Quant Q&A

The document frames a market-impact question: how typical transaction cost models would estimate the long-term price effect of buying shares equal to 1% of a company’s outstanding stock. It converts that quantity into trading volume using an assumption of…

EquitiesExecutionMarket microstructure
Quant Q&A

The document frames discrete delta hedging as a tradeoff: more frequent rebalancing can reduce hedge error but raises transaction costs, while less frequent trading lowers costs and leaves greater residual risk. It argues that there is no single practice…

OptionsDerivatives pricingRisk managementExecution