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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

10,263 documents

Quant Q&A

The document explains why futures are commonly quoted by their settlement or delivery price rather than by the contract’s present value. It places this convention alongside other market practices, such as quoting bonds by yield and options by implied…

FuturesCommoditiesDerivatives pricingMarket microstructure
Quant Q&A

The document considers how to adjust a fitted vanilla-option implied volatility surface to represent a lower-volatility market or an abrupt volatility shock. It cautions that blindly adding a constant to implied volatility or multiplying it by a scale factor…

OptionsVolatilityArbitrageDerivatives pricing
Quant Q&A

The document explains how investment banks’ charges for derivatives relate to market competition and the transparency of pricing. It frames the added cost as a wider bid–ask spread rather than necessarily as a separate fee on top of a theoretical…

Derivatives pricingMarket microstructure
Quant Q&A

The document asks how to validate complex XVA calculations, including credit and funding valuation adjustments, which involve simulation, valuation, and aggregation. Its answer outlines a broad validation process covering the model’s theoretical design,…

Derivatives pricingRisk managementStatistics
Quant Q&A

The document asks how to compare the distributions of swaption market observations, such as volatility or liquidity spreads, across two time periods. It considers whether all USD swaption observations should be treated as two samples or whether observations…

Fixed incomeOptionsStatisticsDerivatives pricing
Quant Q&A

The document examines how banks might manage funding risk in variable-rate loans as LIBOR gives way to risk-free rates such as SOFR. Under LIBOR-linked lending, a bank could pass through some changes in unsecured interbank funding costs by charging a fixed…

Fixed incomeDerivatives pricingRisk managementUS markets
Quant Q&A

The document gives risk-neutral valuation formulas for continuously monitored geometric-average Asian options with a floating strike. It uses a symmetry between a floating-strike call and a fixed-strike put: after substituting the relevant parameters into…

OptionsDerivatives pricing
Quant Q&A

The document raises a teaching question about the apparent mismatch in subtracting half the squared standard deviation from a rate when estimating geometric growth. It notes the familiar approximation that geometric mean return equals arithmetic mean return…

StatisticsVolatilityDerivatives pricing
Quant Q&A

The document explains why a filtration matters in martingale representation and Girsanov’s theorem. A filtration represents the information available over time, and martingale properties depend on that information set. The martingale representation theorem…

StatisticsDerivatives pricing
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

The document asks how to represent overnight, tomorrow-next, and spot-next foreign-exchange rate quotes when building an overnight-indexed curve in QuantLib. The proposed setup creates separate overnight indices with different settlement-day counts and…

ForexFixed incomeDerivatives pricing
Quant Q&A

This question examines why modified duration from a QuantLib bond setup differs from Excel’s MDURATION for the same stated bond inputs. The supplied Python example constructs a bond with a one-year coupon period, an Actual/Actual day count, and semiannual…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks whether no-arbitrage conditions are known for Bachelier, or normal, implied volatility surfaces. Normal volatility is defined through the parameter that reproduces an option price under the Bachelier formula. The author contrasts this with…

OptionsVolatilityDerivatives pricingFixed income
Quant Q&A

The document addresses short-end SOFR curve construction when daily forward-rate jumps are desired at FOMC dates but available three-month futures do not provide enough independent instruments to identify every node. This creates an underspecified…

Fixed incomeFuturesRisk managementDerivatives pricing
Quant Q&A

The note explains why two formulas for risk-neutral probabilities in a binomial option-pricing model may appear unequal. One expression gives the up-move probability directly, while the cited algorithm stores discounted up and down weights. Comparing them…

OptionsDerivatives pricingStatistics
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 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 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 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