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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

20,364 documents

Quant Q&A

The document outlines a proposed search process for automated intraday strategies in FX and equity index futures. The plan uses short forecast horizons, many candidate features, genetic feature selection, and SVM models ranked by cross-validation error. The…

Machine learningFuturesForexBacktesting
Quant Q&A

The document raises a model-selection question for options on short-term interest rate futures, using SONIA as its example. It contrasts a normal model, motivated by the author's view of the underlying's distribution, with a lognormal Black model whose…

OptionsFixed incomeDerivatives pricingVolatility
Quant Q&A

The document asks how to state an arbitrage strategy in a three-period market model, where the discounted risky asset can take different values over time. The proposed strategy waits until the first period and buys only if the asset is priced at 8, then…

ArbitrageFutures
Quant Q&A

The question describes a QuantLib credit-default-swap curve calibration that fails on CDS roll dates. The author builds a piecewise hazard-rate curve from CDS helpers and reports matching market values on some dates, but receives a root-not-bracketed error…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The question asks whether PV01, often associated with bonds, can measure sensitivity for FX forwards and non-deliverable forwards. The answer frames an FX forward’s value as depending on spot, the two interest-rate curves, and cross-currency basis. Since…

ForexFixed incomeRisk management
Quant Q&A

The discussion examines whether a European call can gain value as time passes when the underlying price is held fixed. It challenges the claim that positive interest rates alone rule this out and uses Black–Scholes pricing to illustrate how dividends affect…

OptionsDerivatives pricingVolatility
Quant Q&A

The question concerns finding minimum-variance portfolio weights when short sales are prohibited, with a particular focus on using an inverse covariance matrix directly. It presents the usual constraints: weights sum to one, achieve a target expected return,…

Portfolio constructionRisk managementStatistics
Quant Q&A

The document responds to a request for rigorous resources that connect portfolio-optimization theory with practical implementation. It points readers to several books using R, Matlab, or S, and briefly compares their audiences and coverage. Topics mentioned…

Portfolio constructionRisk managementBacktesting
Quant Q&A

The document surveys data sources that systematic traders can use beyond historical prices, including traded volume, company fundamentals, and alternative data such as satellite imagery, news text, supply-chain information, and card transactions. Its main…

Machine learningStatisticsBacktestingEquities
Quant Q&A

The document explains how low or negative interest rates can pressure bank profitability through net interest margin compression. Banks commonly fund themselves with deposits and other short-term sources, then lend at longer maturities and charge a spread.…

EquitiesFixed incomeRisk managementStatistics
Quant Q&A

The document explains why high-frequency trading can remain relevant when a market allocates fills pro rata, reducing the importance of queue position. It distinguishes liquidity provision from liquidity taking: speed may matter less for winning a place in…

FuturesHigh-frequency tradingMarket microstructureExecution
Quant Q&A

The document addresses portfolio optimization where conditional value at risk must stay below a specified portfolio-wide limit. Its central setup is to choose variance as the objective while imposing CVaR as a constraint, alongside a budget constraint and…

Portfolio constructionRisk managementStatistics
Quant Q&A

The note explains how an over-the-counter option sold by a bank is generally viewed from the dealer’s perspective. After receiving the premium, the dealer has a contract that may require future cash payments, so a short option position is treated as a…

OptionsDerivatives pricingRisk management
Quant Q&A

The note explains why a credit default swap can resemble a bet while serving as a credit-risk transfer instrument. A bondholder or other party exposed to a company’s credit risk can pay a premium to a protection seller, who owes compensation if a defined…

Fixed incomeDerivatives pricingEvent-drivenMarket microstructure
Quant Q&A

The note outlines a historical-simulation method for estimating a bond’s value at risk from changes in the US Treasury curve and the bond’s credit spread. First, convert historical clean prices into bond yields using the appropriate settlement dates. Then…

Fixed incomeRisk managementStatisticsUS markets
Quant Q&A

The document asks how to obtain longer-term interest rates from a calibrated short-rate model when valuing a mortgage-backed bond. Its motivating example links borrower prepayment decisions and penalty calculations to longer-maturity rates, while the model…

Fixed incomeUS marketsOptions
Quant Q&A

The document poses a continuous-time valuation problem for a cash flow tied to two stochastic state variables and a pricing kernel. It specifies correlated Brownian drivers, state-dependent growth, and a two-state continuous-time Markov process for the…

StatisticsDerivatives pricing
Quant Q&A

The document examines whether dynamically delta hedging a short option guarantees recovery of the option’s initial extrinsic value when it expires out of the money. It explains that this conclusion holds only in an idealized limit: with zero transaction…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document analyzes a double call that gives its holder a choice between exercise at an earlier date with strike K1 and exercise at a later date with strike K2. It states a condition under which early exercise is suboptimal: the discounted earlier strike…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document offers a reading guide for someone moving from foundational portfolio theory toward practical portfolio management. It starts with Markowitz’s portfolio selection work and Sharpe’s capital asset pricing model, then points to research on Bayesian…

Portfolio constructionFactor investingMomentumTrend following
Quant Q&A

The document explains the shift from single-curve swap valuation to multi-curve valuation. Before the financial crisis, practitioners commonly treated LIBOR as a risk-free rate and used it to construct swap curves. Under modern collateralized valuation, an…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks why early termination of a cross-currency swap may include a notional exchange unwind value based on spot foreign exchange, in addition to the present value of the swap legs. The response explains that the contract has cash flows and…

Fixed incomeForexDerivatives pricingRisk management
Quant Q&A

The document asks where to obtain analysts’ earnings estimates and whether data shown on a website can be imported into a personal database. The response points to Bloomberg terminals available at some local universities or colleges, particularly in business…

EquitiesSentiment
Quant Q&A

This question describes a QuantLib curve-building failure while using Australian market data and fixed-rate bond helpers. The reported error occurs when the long-dated instruments are included, and the supplied coupon inputs are 0.1838 and 0.165. The…

Fixed incomeStatistics