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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 asks how a reported 20% autocorrelation in consecutive Deutsche mark price moves could be connected to a claim that sequences repeated more than half the time. It contrasts this interpretation with the familiar statistical view of…

Statistics
Quant Q&A

The document asks whether a receiver swaption is equivalent to a callable bond. The main response distinguishes the instruments: a callable bond is a security exposed to issuer default, while a swaption is an interest-rate option. It then describes an…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document compares short- and long-dated straddles as ways to take a long-volatility position. Its answer links short-term straddles to profits from realized movements that exceed expectations, describing this exposure in terms of gamma. Longer-term…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document considers an embedded equity conversion option in a bond issued by an Indian company. The bond is denominated and repaid in US dollars, while the underlying shares trade in Indian rupees; the conversion price uses a fixed USD/INR rate. One…

Fixed incomeOptionsForexDerivatives pricing
Quant Q&A

The document outlines how a variance swap works: the buyer exchanges a fixed variance strike for realized variance calculated from returns over specified observation dates. For liquid standard contracts, the market quotes the strike; for nonstandard expiries…

Derivatives pricingVolatilityOptionsStatistics
Quant Q&A

The discussion distinguishes the continued tracking of momentum returns from momentum’s removal from the core Fama–French factor set in 2016. It describes the original three-factor framework as a challenge to the CAPM’s account of risk-adjusted portfolio…

MomentumFactor investingEquitiesUS markets
Quant Q&A

The question concerns a two-period consumption model in which an investor allocates wealth between a risky asset and a zero-coupon bond. The displayed equations appear to let the bond position transfer funds between periods, while the question asks why bond…

Fixed incomePortfolio constructionRisk management
Quant Q&A

The discussion asks whether equity option valuation should account for uncertainty in interest rates, including in a risk-neutral expectation discounted by the path of the short rate. It explains that interest-rate sensitivity, measured by rho, is usually…

OptionsDerivatives pricingVolatilityRisk management
Quant Q&A

The document asks where to find algorithmic trading strategies that were once profitable but later stopped working. Its answer points to public compilations of strategies, while cautioning that detailed disclosure is unlikely. It gives several reasons:…

Machine learningBacktestingVolatility
Quant Q&A

The document derives a first order approximation for the one year total return on a coupon bond when its yield changes. It distinguishes the bond's initial price from its price one year later, when it has one fewer year to maturity. The latter price is…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains why a deterministic partial differential equation can describe the value of a claim whose payoff depends on a stochastic process. In a Markov setting, the conditional expected payoff is a function of the current state and time. Under…

Derivatives pricingStatisticsOptions
Quant Q&A

The document asks whether a portfolio of two stocks can have both lower volatility and a higher return than either stock, and whether adding more stocks changes the answer. The response gives a mathematical edge case: if two assets have identical volatility…

EquitiesPortfolio constructionRisk managementStatistics
Quant Q&A

The document asks how to size two stock positions in a long-short portfolio intended as a hedge, rather than as a cointegration-based pair trade. One response gives the basic beta hedge rule: set the hedge position opposite to the original position and scale…

EquitiesPairs tradingPosition sizingRisk management
Quant Q&A

The discussion concerns sensitivity-preserving cash-flow mapping for a fixed-versus-Euribor six-month interest rate swap under a multi-curve framework. The question asks how to assign cash flows to regulatory pillar dates when discounting uses an overnight…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The document investigates why a global equity portfolio that lagged its benchmark during a short, volatile period could still show a daily regression beta below one. Its main explanation is nonsynchronous trading: markets in different time zones close at…

EquitiesStatisticsPortfolio constructionRisk management
Quant Q&A

The document considers geometric Brownian motion paths that remain above a lower price barrier throughout a fixed horizon. It starts from a supplied survival probability and frames the requested conditional mean and variance of the terminal price in terms of…

StatisticsDerivatives pricingOptionsRisk management
Quant Q&A

The document explains why pricing a plain vanilla foreign exchange option from spot or from the outright forward can lead to equivalent formulations. Garman–Kohlhagen uses spot and domestic and foreign interest rates, while Black–76 uses the forward price.…

ForexOptionsDerivatives pricing
Quant Q&A

The document discusses how commercial banks can assign client account balances to maturity buckets for asset-liability management. It recommends mapping assets and liabilities, using gap analysis to identify maturity slots with deficits, and hedging those…

Fixed incomeRisk managementStatistics
Quant Q&A

The document explains how the standard Black–Scholes partial differential equation can be rearranged so that its second-order price term appears as the derivative of a product. Applying the product rule to the diffusion term creates an additional…

Derivatives pricingOptionsStatistics
Quant Q&A

The document considers whether unknown asset-class returns can be recovered by regressing observed portfolio returns on known allocation weights. It notes a potential identification problem because the weights in each portfolio sum to one, creating a…

StatisticsPortfolio constructionFactor investing
Quant Q&A

The discussion questions whether option sellers hedge more actively than buyers and argues that the buyer-versus-seller label alone does not determine hedging behavior. Responses emphasize the difference between customers and dealers or market makers:…

OptionsMarket makingVolatilityMarket microstructure
Quant Q&A

The document asks whether a multi-factor stochastic volatility model, especially a two-factor model, can be approximated by a faster single-factor model for Monte Carlo calibration. It defines the distinction in terms of the number of Brownian motions…

VolatilityDerivatives pricingStatistics
Quant Q&A

The note clarifies the role of volatility in the geometric Brownian motion model, whose price increments contain both a drift term and a Wiener-process term. A standard Wiener process has zero-mean increments with variance proportional to elapsed time. It…

StatisticsVolatility
Quant Q&A

The note explains the negative inverse-price term in duration by defining duration as the bond’s price sensitivity to yield in proportional terms. Taking the price derivative alone gives an absolute change; dividing by price expresses the change relative to…

Fixed incomeRisk managementStatistics