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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

20,364 documents

Quant Q&A

The document explains how a delta-hedging argument leads to the Black–Scholes partial differential equation. A portfolio holds one derivative and shorts an amount of stock equal to the derivative’s sensitivity to the stock price. Applying Itô’s formula…

Derivatives pricingOptionsRisk management
Quant Q&A

The document examines a Black–Scholes claim paying the squared terminal stock price times its logarithm. It compares three valuation approaches: risk-neutral expectation using a lognormal moment, changing to the stock as numeraire, and attempting to use the…

Derivatives pricingOptionsStatistics
Quant Q&A

The document collects recommendations for learning C++ with quantitative finance applications in mind, particularly for a Python developer who wants to build pricing libraries. One reply suggests choosing a book suited to the learner’s current level: an…

Derivatives pricingMachine learningStatistics
Quant Q&A

The document explains the currency exposures involved in delta hedging a USDJPY option. In the example, a bank has sold a dollar put and calculates a short dollar hedge from the option’s delta. That hedge is paired with a long yen position at the prevailing…

ForexOptionsDerivatives pricingRisk management
Quant Q&A

The document discusses whether quarterly institutional holdings disclosures can inform trading strategies. Replies say that investors and researchers do use Form 13F information, including strategies that follow reported holdings of prominent funds. One…

EquitiesUS marketsSentimentEvent-driven
Quant Q&A

The document explains how to interpret a Carhart four-factor regression when evaluating a portfolio or trading strategy. Rather than treating a coefficient as a direct comparison between individual small and large companies, it frames the factor coefficients…

Factor investingStatisticsEquities
Quant Q&A

The document compares practical considerations for stochastic-volatility and GARCH option models, emphasizing that model choice depends on the option type and the goal. It argues that GARCH can be attractive because its next-step conditional volatility is…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document surveys practical considerations for options with expiries ranging from hours to minutes. It cautions that very short-horizon returns should not be assumed to follow a lognormal process simply because the horizon is short. Instead, intraday…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document discusses what can make market prices temporarily differ from fundamental value, in the context of market resiliency. It identifies several microstructure mechanisms: asymmetric information, market makers’ inventory risk, trading costs, and…

Market microstructureStatistics
Quant Q&A

The document explains how a forward exchange rate above the level implied by spot and the two currency interest rates creates a covered interest arbitrage. The proposed trade borrows the foreign currency, exchanges it for the home currency at spot, invests…

ForexArbitrage
Quant Q&A

The document examines a foreign-exchange spot quoted as dollars per euro and compares expectations under dollar and euro risk-neutral measures. The question derives discounted-price expectation identities using each currency's bank-account numeraire, then…

ForexDerivatives pricingStatisticsFixed income
Quant Q&A

The document considers whether a panel model with industry fixed effects is suitable for estimating the Fama-French five-factor alphas of many industry portfolios. The factors can be common across industries and vary over time; constructing separate factor…

EquitiesFactor investingStatistics
Quant Q&A

The document explains why standard Black-style approximations for cash-settled swaptions imply payer-receiver parity around the forward swap rate. Under that approximation, a zero-wide collar—the difference between payer and receiver swaptions at the same…

OptionsFixed incomeDerivatives pricingMarket microstructure
Quant Q&A

The document distinguishes the risk that a borrower or issuer will fail to repay from the risk that a trading counterparty will fail to meet its contractual obligations. A bondholder, for example, faces the issuer’s credit risk; a buyer of credit protection…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

Without a risk-free asset, investors cannot draw the usual capital allocation line from that asset or identify an optimal risky portfolio as its tangency with the efficient frontier. The document points to Black’s zero-beta CAPM as a framework for this…

Portfolio constructionRisk managementStatistics
Quant Q&A

The discussion cautions against assuming that VIX futures will reliably offset losses in a long-only equity portfolio. VIX measures expected volatility, and it does not invariably rise when stocks fall; consequently, an inverse relationship with stock…

EquitiesFuturesVolatilityRisk management
Quant Q&A

The note clarifies that Diebold–Li is a way to estimate a Nelson–Siegel yield curve, rather than a separate curve model with its own distinct estimation procedure. The key modeling choice is to fix the Nelson–Siegel shape parameter; with that parameter held…

Fixed incomeStatistics
Quant Q&A

The note explains how to interpret the instantaneous forward variance quantity in a model of volatility smiles. It distinguishes that quantity from a forward-starting variance swap, whose fair strike is constructed from the variances of two maturities. The…

VolatilityDerivatives pricingStatistics
Quant Q&A

This discussion asks how to use volatility from an implied-volatility surface in Reiner-Rubinstein formulas for an up-and-out call, expressed as a vanilla call minus an up-and-in call. The vanilla component may reference the strike while another component…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

This example compares delta-gamma and delta-vega hedging for a short call using another call and shares. It gives Black-Scholes Greeks for an in-the-money call and an at-the-money call, then solves for the option quantity that offsets gamma or vega and the…

OptionsDerivatives pricingVolatilityRisk management
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

This discussion frames Funding Valuation Adjustment (FVA) through an uncollateralized FX forward with a client, hedged by a bank under a Credit Support Annex. It asks what an FVA calculated from the trade’s expected exposure profile represents, given that…

ForexDerivatives pricingRisk management
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