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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 discussion considers why experience with poker may be relevant to equity and options trading. Its central analogy is that both activities involve decisions under uncertainty against other participants, where the quality of a choice depends on more than…

OptionsEquitiesRisk management
Quant Q&A

The question asks how to estimate the jump intensity in a Black–Scholes–Merton setting from observed jump counts across three consecutive months. The response points to a compound Poisson process as the model for jumps and directs readers to a statistical…

StatisticsDerivatives pricing
Quant Q&A

The document shows why European calls and puts with the same strike and maturity have equal gamma under put-call parity. It starts from the parity relation between the call, put, spot price, discounted strike, and interest rate. Differentiating once with…

OptionsDerivatives pricing
Quant Q&A

The document explains the no-arbitrage argument that a claim with a replicating portfolio must have the same initial price as that portfolio. If the claim is overpriced, short the claim, buy the replicating portfolio, and invest the surplus at the risk-free…

ArbitrageDerivatives pricingRisk management
Quant Q&A

The document asks why some derivatives references express option prices on an undiscounted basis. It contrasts a density formula using the strike derivative of an undiscounted call price with the version using discounted prices, which includes a…

OptionsDerivatives pricing
Quant Q&A

The example applies Feynman–Kac to a terminal-value partial differential equation with a fourth-power terminal payoff. The PDE contains a second derivative term proportional to the square of the asset price, and the proposed solution represents the value as…

Derivatives pricingStatistics
Quant Q&A

The discussion considers Java options for basic time-series analysis, including moving averages, standard deviations, correlations, charting, and exponential smoothing. Suggestions range from implementing common statistics directly to using libraries that…

StatisticsTechnical indicators
Quant Q&A

The document explains how to value a CMS indexed range accrual when simulated zero-coupon rates follow a short-rate model under the risk-neutral measure, while the desired probability is expressed under the payment-date forward measure. The payoff event is…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The discussion distinguishes a put diagonal spread from a put calendar spread and explains why a proposed pair of puts with different expirations but the same strike is a calendar spread. The original example uses different strikes, but the answer notes that…

OptionsDerivatives pricingRisk management
Quant Q&A

The document asks how to obtain implied volatility for a specific overnight period in foreign exchange, such as the night before a particular trading day. It then asks how to translate an overnight volatility quote into an implied breakeven exchange-rate…

ForexVolatilityOptions
Quant Q&A

The document asks whether hourly observations can be used to estimate dynamics that matter over a horizon of several days, particularly mean reversion or cointegrating relationships. It refers to a proposed analogy between estimating monthly relationships…

StatisticsMean reversionHigh-frequency trading
Quant Q&A

The document asks why a forward price is chosen so that a newly signed contract has zero value, and whether the explanation comes from no-arbitrage or from both parties being indifferent between taking the long and short sides. It also asks why the parties…

Derivatives pricingArbitrage
Quant Q&A

The document sets up a structural credit model in which a firm’s asset value follows geometric Brownian motion and default occurs when it reaches an absorbing barrier. A coupon bond pays coupons while the firm survives, pays principal at maturity if it has…

Fixed incomeDerivatives pricingStatisticsRisk management
Quant Q&A

The discussion asks whether a liquid interest rate swap curve can exist without a liquid government bond market, and how dealers hedge the risk they absorb. One answer describes the typical development of local currency markets: governments issue short-dated…

Fixed incomeDerivatives pricingMarket microstructure
Quant Q&A

The document asks whether corporate events that change a U.S. common stock’s price or shares outstanding occur during the trading session or predominantly overnight. Its brief answer is that events affecting shares outstanding happen overnight, giving a…

EquitiesEvent-drivenUS markets
Quant Q&A

The document explains how to obtain a zero-coupon yield curve and distinguishes observed spot rates from a curve calibrated to traded instruments. A curve can be interpolated from spot rates when they are available, but spot rates are generally not directly…

Fixed incomeFuturesDerivatives pricing
Quant Q&A

The document asks how option Greeks, especially delta, should be interpreted under Merton and Kou jump diffusion models. Its central explanation is that a continuous hedge cannot offset a discrete price jump instantaneously. A riskless-portfolio argument…

OptionsDerivatives pricingRisk managementVolatility
Quant Q&A

The document compares two descriptions of risk remaining around a commodity futures hedge. It describes “basic risk” as residual exposure after hedging, including the difference between futures and spot prices if a futures position is closed early. The cited…

CommoditiesFuturesRisk management
Quant Q&A

The document distinguishes an asset’s expected arithmetic return from its compounded growth rate. Under the return model described in the question, the expected return over a short interval is given by the drift, while the continuously compounded rate…

StatisticsVolatilityRisk management
Quant Q&A

The document asks how to understand and implement calibration of the SABR model for volatility smiles across equity, foreign exchange, and interest rate markets. Its response points readers toward several papers and practitioner resources, and mentions a…

VolatilityDerivatives pricingOptions
Quant Q&A

The document presents a beginner’s question about why summing rate-of-change values multiplied by trading signals gives a different return from the price change between a stated entry and exit. The example uses Bollinger Bands, stochastic indicators, and…

EquitiesTechnical indicatorsBacktestingStatistics
Quant Q&A

This collection of answers challenges widely used ideas in quantitative finance, including correlation-based diversification, CAPM as an allocation rule, normally distributed independent returns, value at risk, efficient markets, copulas, and perfect delta…

Risk managementStatisticsPortfolio constructionDerivatives pricing
Quant Q&A

The document illustrates how a company with dollars can use an FX swap when it needs francs to settle a bond purchase and later expects to receive foreign-currency proceeds. In the example, the company exchanges dollars for francs for near-term settlement,…

ForexFixed incomeCarryExecution
Quant Q&A

The question asks whether regional central banks provide programmatic access to their statistical data, after the author encountered CSV downloads and web scraping. The response points to the Federal Reserve Bank of St. Louis’s FRED service as a widely used…

Fixed incomeStatisticsUS markets