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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 is a short request for practical resources on modeling probability of default under IFRS 9, with an answer recommending two books on IFRS 9 and CECL credit risk modeling. It notes that the framework uses probability of default and loss given…

Fixed incomeRisk managementStatistics
Quant Q&A

The document explains why exchanges may not provide idempotency for market orders and describes client-side checks to reduce accidental duplicates. It compares strict matching of past requests, order throttles, checks of consecutive or recent duplicate…

CryptoExecutionRisk managementMarket microstructure
Quant Q&A

The document explains why a receiver swap's return is not naturally computed as a percentage change in its market value: the swap can begin at zero value and later have positive or negative value. It presents change in swap value divided by notional as one…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The document asks how to define an arbitrage-free price process for an American-style derivative when the buyer may make payments over its lifetime and choose a random exercise time. It proposes selecting a process so the supremum over exercise times of…

Derivatives pricingOptionsArbitrage
Quant Q&A

The document explains the standard portfolio drawdown workflow: convert periodic returns to growth factors, compound them into an equity curve, and measure losses from prior peaks. Maximum drawdown is the greatest decline from a previous high-water mark, so…

StatisticsRisk managementBacktesting
Quant Q&A

The document distinguishes opportunities with favorable expected value from opportunities whose payoff is locked in against market risk. A lottery example illustrates the difference: owning one ticket offers a favorable chance but retains uncertainty, while…

ArbitrageStatisticsRisk management
Quant Q&A

The document explains the relationship between the par fixed rate of a spot-starting fixed-for-floating interest rate swap and its DV01. It gives the par-rate expression as one minus the final discount factor divided by the swap DV01, and expresses DV01 as…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The example shows how put-call parity and relationships across option strikes can be used to infer some option prices from quoted market data. Ignoring discounting, the response applies parity at the 70 strike to the given futures level and straddle price,…

OptionsDerivatives pricingVolatility
Quant Q&A

The document discusses background reading for someone struggling with a mathematical finance text. It frames Shreve’s work as a calculus-based treatment of finance and suggests building mathematical preparation before tackling it. For derivatives-focused…

Derivatives pricingOptionsStatistics
Quant Q&A

The document explains that PV01 and DV01 both describe value changes associated with a one basis point interest-rate move, but usage depends on the instrument and calculation. One response frames DV01 as the yield sensitivity of an individual bond, while…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The document considers a claim paying the time average of squared Brownian motion when the underlying follows standard Brownian motion and the interest rate is zero. It gives the initial fair value as the expected payoff, then uses Itô calculus to rewrite…

Derivatives pricingRisk managementPosition sizing
Quant Q&A

The document asks how to judge whether a derivative-pricing model improves on Black–Scholes when traders already use implied volatilities and interpolation to fit option prices. It distinguishes pricing from prediction: a pricing model can interpolate or…

OptionsDerivatives pricingBacktestingRisk management
Quant Q&A

The document introduces the Meixner distribution through its characteristic function and asks how to obtain its first, second, and fourth cumulants. It defines cumulants as derivatives of the logarithm of the characteristic function, evaluated at zero, with…

Statistics
Quant Q&A

The document examines how pull to par affects a bond's spot price and forward price when yields remain unchanged. The question relates the spot price, accrued interest, and financing to a fixed-date forward price, then asks how a long cheapest-to-deliver…

Fixed incomeFuturesDerivatives pricing
Quant Q&A

The document raises a foundational question about defining the Malliavin derivative on two probability spaces. One construction starts from canonical Wiener space, consisting of continuous paths equipped with Wiener measure. Another works on a general…

Derivatives pricingStatistics
Quant Q&A

The document addresses a data problem for researchers working with hedge fund performance: broker-provided daily index histories may begin later than the period they need. The question asks for free daily levels of HFRX or a comparable index with history…

Multi-assetStatisticsBacktesting
Quant Q&A

The document asks how asset managers track fixed income indexes whose holdings may number in the hundreds. It identifies characteristics that can guide a representative sample, including duration, credit quality, coupon, maturity, country, and bond type. It…

Fixed incomePortfolio constructionExecution
Quant Q&A

The problem asks for Black–Scholes prices of two terminal payoffs: the square of the stock price and a unit payment when the stock finishes below a strike. It applies risk-neutral valuation by discounting each payoff’s expected value. The squared payoff uses…

OptionsDerivatives pricingStatistics
Quant Q&A

The discussion asks whether a market is complete when a stock price is exposed to two independent Brownian motions: one drives returns directly, while another drives a mean-reverting stochastic drift. With only the stock available for investment, one…

EquitiesStatisticsDerivatives pricingRisk management
Quant Q&A

The answer considers whether banks and asset managers are likely to develop trading algorithms in-house or rely on specialist firms. It argues that either path may be difficult within traditional institutions, citing gaps in management’s quantitative…

High-frequency tradingMachine learningExecutionMarket microstructure
Quant Q&A

The note explains how to read a quoted sovereign five-year credit default swap spread and how it relates, in broad terms, to perceived credit risk. It interprets a quote of 42.520 as basis points and says that a lower spread generally signals a lower premium…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document contrasts quantitative investing with quantitative trading, emphasizing the larger capital base and capacity requirements of asset management. Strategies that exploit small arbitrage opportunities may not scale to the size of investment…

Factor investingPortfolio constructionMachine learningBacktesting
Quant Q&A

The document explains how options systems represent time remaining on expiration day. Rather than using whole-day buckets, pricing and risk software generally represents expiry tenors fractionally and may measure time internally in years, seconds, or…

OptionsDerivatives pricingMarket makingVolatility
Quant Q&A

The document compares several ways to describe how diversified a portfolio is. The Diversification Ratio relates the weighted average volatility of holdings to total portfolio volatility; for a long-only portfolio it is at least one, reaching one for a…

Portfolio constructionRisk managementStatistics