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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
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

9,660 documents

Quant Q&A

The document asks why a leverage or volatility-scaling factor changes the turnover ratio of a momentum portfolio, citing the approach associated with Barroso and Santa-Clara. It distinguishes the intuitive idea of multiplying portfolio exposures by a scale…

MomentumPortfolio constructionExecution
Quant Q&A

The document considers whether large traders can manipulate e-mini futures and whether that possibility makes systematic trading impractical. Its answers distinguish ordinary market impact from deliberate manipulation: large buy orders can push prices up,…

FuturesMarket microstructureExecutionOptions
Quant Q&A

The document surveys specialized computing used in trading, including FPGA-based ticker plants, network cards designed to reduce software and kernel overhead, and hardware for feed handling and real-time risk. It also describes GPUs for computational work…

High-frequency tradingExecutionMarket microstructureDerivatives pricing
Quant Q&A

This discussion examines how to compare a cash basket of S&P 500 constituents with an E-mini futures contract when assessing index arbitrage. It asks whether to aggregate constituent bid and ask quotes separately and discount those totals, or use mid prices…

EquitiesFuturesArbitrageMarket microstructure
Quant Q&A

The document explains why an unusually high buy limit does not automatically cause a trade at that price. A marketable buy order generally matches against available sell orders at their existing limit prices, so a small order can execute at the best…

EquitiesExecutionMarket microstructureRisk management
Quant Q&A

The document discusses why some customers continue to route large SPX and VIX option orders through open-outcry pits when electronic trading is also available. The accepted response attributes better execution prices to negotiation between floor traders, who…

OptionsExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The document distinguishes spot at-the-money options from at-the-money-forward options in foreign exchange. In the described convention, an ATM option has a strike equal to the current spot rate and its delta is hedged in the spot market. An ATMF option uses…

ForexOptionsDerivatives pricingExecution
Quant Q&A

The document discusses how to simulate the SFGK continuous double auction limit order book model when the theoretical tick size approaches zero. The original question concerns Poisson order arrivals over an unbounded price line and how discrete price levels…

Market microstructureExecutionStatistics
Quant Q&A

The document asks whether daily open, close, high, and low prices for thousands of US-listed stocks can be downloaded in one low-cost bulk file, without querying each symbol separately. The responses suggest using Python's Pandas DataReader to retrieve…

EquitiesBacktestingExecution
Quant Q&A

The document considers whether a numeric library should parallelize operations by default, using large financial data workloads as its setting. Its answer recommends making thread use configurable at runtime and through environment variables, while choosing…

StatisticsExecution
Quant Q&A

The document asks whether adverse selection after a limit-order fill has a characteristic time horizon. The question describes an immediate price move against the resting order, followed by the possibility that the market later reverses. The response says…

Market microstructureExecutionStatistics
Quant Q&A

The discussion explains a data-coverage limitation encountered when building a pandas dataset of a US-listed ADR, its foreign ordinary shares, and the exchange rate between them. The questioner finds a London ticker symbol through the provider's symbol…

EquitiesMarket microstructureExecution
Quant Q&A

The document presents a simple moving-average backtester for shares, with signals based on a fast and slow average, position sizing, cash accounting, and portfolio equity. The reported output contains missing values, and the answer points to a likely cause…

BacktestingEquitiesTechnical indicatorsExecution
Quant Q&A

The document compares using one size-adjusted micro-price to guide both sides of a market-making quote with maintaining separate bid and offer fair values. Its examples use futures order-book prices and displayed sizes: the micro-price shifts toward the side…

FuturesMarket makingMarket microstructureExecution
Quant Q&A

The document surveys ways to estimate how a large equity order may affect price. It describes a square-root style impact estimate based on trade size relative to trading volume and typical spread, alongside models that distinguish permanent impact from…

EquitiesExecutionMarket microstructureRisk management
Quant Q&A

The document asks how to include liquidity effects in a historical-simulation risk model spanning equities and bonds. One response proposes serial autocorrelation in returns as a proxy for trading frictions, reasoning that highly liquid assets should have…

Multi-assetMarket microstructureRisk managementExecution
Quant Q&A

The document compares approaches for storing financial time series and serving them to R, with particular attention to tick data. One response argues that database choice matters less than matching storage layout and indexing to query patterns: a clustered…

High-frequency tradingMarket microstructureExecution
Quant Q&A

The document explains that a J message in a Nasdaq TotalView ITCH sample file is not necessarily corrupt or undocumented. The response identifies it as a Limit Up–Limit Down auction collar message, which reports the price thresholds within which a paused…

EquitiesMarket microstructureExecution
Quant Q&A

The document surveys ways to capture, store and later analyze market tick data. It describes collecting Interactive Brokers market updates through an R interface and writing records to files or in-memory time-series objects. For longer-term analysis,…

High-frequency tradingMarket microstructureExecutionBacktesting
Quant Q&A

The discussion addresses the intuition that reversing every long and short signal from a losing strategy should produce a winner. It explains why this does not follow: trading costs affect both directions, and a strategy’s rules for entering and exiting…

BacktestingRisk managementStatisticsExecution
Quant Q&A

The discussion compares ways to obtain historical market depth data for research, including specialist vendors, broker APIs, trading platforms, and collecting a dataset over time. It distinguishes consolidated quotes from full-depth exchange feeds, since…

Market microstructureBacktestingExecutionEquities
Quant Q&A

The document explains how Fill-or-Kill (FOK) and Immediate-or-Cancel (IOC) limit orders behave when available book liquidity is sufficient or insufficient for the requested quantity. In its example, a buy order for 10 units at a limit price with 15 units…

ExecutionMarket microstructureForex
Quant Q&A

The document considers portfolio rebalancing when expected-return signals refresh quarterly but risk estimates update daily. At an interim rebalance, prices have moved while the original alpha forecasts grow stale, creating uncertainty about whether to…

Portfolio constructionRisk managementExecutionBacktesting
Quant Q&A

The document considers how to estimate the assets under management a low-frequency equity strategy can support and how to size its orders. It raises average daily volume as a possible liquidity yardstick, while noting that slippage, market impact, and…

EquitiesExecutionMarket microstructurePosition sizing