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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 distinguishes transport protocols from presentation or wire formats used to exchange trading data. It says firms colocated in the same data center often use raw UDP for transport, and notes Aeron as another option that has gained use. For market…

ExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The document considers how to study the volume-weighted bid-ask spread across time when retrieving intraday bid, ask, and volume data for many securities runs into a Bloomberg monthly usage cap. The question is whether Bloomberg can calculate daily or weekly…

Market microstructureExecutionEquities
Quant Q&A

The document examines why investors might avoid equity factor portfolios despite reported historical premiums. It groups the main explanations into four possibilities: apparent returns may be data-mined or overstated; mispricing may fade as investors learn;…

EquitiesFactor investingMomentumRisk management
Quant Q&A

The document describes a Bloomberg workflow for identifying European equities that have listed options. It recommends using the securities finder to select equities, open the equity options category, and filter by fields such as currency or exchange before…

OptionsEquitiesExecution
Quant Q&A

This document examines fitting a power-law model of market impact, in which impact depends on volatility and the traded quantity relative to market volume. It describes estimating the exponent and scale after taking logarithms, and defines signed impact…

Market microstructureExecutionStatistics
Quant Q&A

The document clarifies how FX spot delta relates to option delta and settlement timing, using GBP/USD and USD/CHF examples. Its answer explains that spot itself has delta one by definition: its value changes one-for-one with the spot rate. FX option delta…

ForexOptionsDerivatives pricingExecution
Quant Q&A

A resting limit order is an unmarketable limit order that remains on an exchange’s limit order book. A buy order is unmarketable when its limit price is below the lowest offer; a sell order is unmarketable when its limit price is above the highest bid. The…

ExecutionMarket microstructure
Quant Q&A

The document describes the purpose of an intermarket sweep order in the context of Regulation NMS and displayed quotes across U.S. exchanges. Ordinarily, when an order reaches the best displayed price, routing rules may require the order to access other…

ExecutionMarket microstructureUS markets
Quant Q&A

The document explains how to construct EUR/USD from EUR/GBP and GBP/USD spot quotes. With the quoted currency legs aligned as EUR per GBP and GBP per USD, multiplying the rates cancels the intermediate GBP exposure and yields EUR per USD. It states that the…

ForexArbitrageExecution
Quant Q&A

The document outlines a framework for choosing how often to rebalance a delta hedge during gamma scalping. Under geometric Brownian motion, it approximates the hedge adjustment as gamma times the underlying price move, then estimates trading costs by…

OptionsVolatilityExecutionRisk management
Quant Q&A

The document explains how securities lending is arranged and priced, particularly for equities. Large holders may invite dealers to compete for lending their securities, while smaller participants commonly work through multiple prime brokers. Online services…

EquitiesFixed incomeMarket microstructureExecution
Quant Q&A

The document discusses ways to detect short-term price pressure in equity tick data so an execution algorithm can pause buying after a rapid rise and resume when conditions stabilize. It distinguishes liquidity-driven activity within the order book from…

EquitiesExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The discussion weighs storing precomputed daily, weekly, hourly, or minute bars against resampling them from tick data when needed. Its answer favors avoiding routine aggregate storage when the query system can handle the workload, while highlighting a…

Market microstructureExecutionStatistics
Quant Q&A

The document examines how often to rebalance a delta hedge for a European call under Black–Scholes assumptions and geometric Brownian motion. The questioner estimates the local hedging error from the option’s gamma and the squared price move, while…

OptionsDerivatives pricingExecutionRisk management
Quant Q&A

The document presents several proposed ways to set relative objective weights for alpha forecasts and transaction costs in a portfolio optimizer. The setting is monthly standardized factor-model forecasts combined with a nonlinear market-impact model…

Portfolio constructionExecutionBacktestingFactor investing
Quant Q&A

The document compares communication protocols used across trading workflows. FIX is described as a widely used standard for order communication, while SWIFT is associated with post-trade and back-office functions. The answers distinguish order entry from…

ExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The document discusses estimating a U.S. corporate bond’s price during London morning hours, when the U.S. bond market is closed. It proposes decomposing the bond into interest-rate and credit components, using the USD swap curve rather than Treasury rates…

Fixed incomeDerivatives pricingExecution
Quant Q&A

This question concerns execution after an investor has already decided to buy or sell a particular instrument. The investor has a short window of several days to seek a better price and will use a market order at the deadline if the trade remains unfilled.…

ExecutionTechnical indicatorsVolatility
Quant Q&A

This short question raises a central issue in option replication: transaction costs make the market incomplete, and asks what Leland’s modified volatility contributes to pricing and hedging. It also asks whether using that adjusted volatility allows an…

OptionsDerivatives pricingVolatilityExecution
Quant Q&A

The document considers splitting a Monte Carlo pricing workload across threads, running smaller simulations in parallel, and averaging their net present values. The accepted response says this can work, while recommending that threads avoid sharing objects…

Derivatives pricingOptionsStatisticsExecution
Quant Q&A

The document addresses failures in Python workflows that previously fetched foreign-exchange and other historical price data through Yahoo or Google with tools such as pandas datareader and ffn. The accepted answer attributes the Yahoo failure to changes in…

ForexExecutionBacktesting
Quant Q&A

The document describes a Python error in code that retrieves two stock price series, calculates their returns, and uses the difference between the returns to form a pair-trading signal. The reported missing key is the concatenated pair name, even though that…

Pairs tradingEquitiesExecution
Quant Q&A

The document examines how an exchange or trading platform should reserve a user’s funds before submitting an order. For limit buys, the limit price and quantity give a known quote-currency amount; for sells, the base-currency quantity is known. A market buy…

ExecutionMarket microstructureRisk management
Quant Q&A

The document discusses execution choices for a medium-sized share order when a simple algorithm follows the best displayed quote. A fleeting small order can improve the quote, induce the algorithm to join, then disappear; the resulting order may be left…

ExecutionMarket microstructureRisk managementEquities