Skip to content

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 analyzes a game where two fair dice are summed for an initial score, then the lower result of a second pair is chosen as the divisor. It explains why dividing the expected initial score by the expected divisor does not give the expected final…

Statistics
Quant Q&A

The document explains how to price a LIBOR cash flow fixed at time T and paid at T plus a tenor period. It addresses which numéraire is appropriate for changing from the risk-neutral measure and whether that change remains valid when the accrual period has…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document derives the price and hedge for a European call on a longer-maturity zero-coupon bond using two bonds as trading instruments. Under deterministic bond volatilities, the forward bond price is modeled as lognormal under the appropriate forward…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document considers how to track changing dependence between two time series when a changing regression slope may reflect shifting variances rather than a stronger relationship. It raises similar interpretive concerns about time-varying quantile…

StatisticsVolatilityMachine learning
Quant Q&A

The document explains why owning shares matters when writing a call, even though the terminal mark-to-market loss on the short call is the same in isolation. A naked call seller must obtain shares at the market price to meet assignment, so rising prices…

OptionsEquitiesRisk management
Quant Q&A

The document considers how to estimate the assets under management a low-frequency equity strategy can support and how to size its orders. It raises average daily volume as a possible liquidity yardstick, while noting that slippage, market impact, and…

EquitiesExecutionMarket microstructurePosition sizing
Quant Q&A

The discussion addresses why a Monte Carlo estimate of a Bermudan option value can fall below the true value when continuation values and exercise decisions are estimated from simulated paths. The central explanation is the supremum-estimation effect:…

OptionsDerivatives pricingBacktesting
Quant Q&A

The explanation changes from the foreign risk-neutral measure to the domestic measure using a Radon–Nikodym density tied to the exchange rate and money market accounts. Girsanov’s theorem shifts the correlated Brownian motions, producing domestic-measure…

Derivatives pricingForexOptionsStatistics
Quant Q&A

The document discusses how to assess whether an asset pricing model needs an additional factor, using the size factor in a three-factor model as an example. A factor’s average return alone does not determine whether it can be removed: dropping it can change…

Factor investingStatisticsPortfolio construction
Quant Q&A

A single-currency basis swap exchanges cash flows linked to two floating interest rate indices. The document points to QuantLib’s FloatFloatSwap instrument as the class for representing this structure in Python, contrasting it with a vanilla interest rate…

Fixed incomeDerivatives pricing
Quant Q&A

The document considers how to normalize daily trading volume and value for stock time-series models, including recurrent neural networks. It contrasts whole-series statistics such as global minimum, maximum, mean, and standard deviation with normalization…

EquitiesMachine learningStatisticsBacktesting
Quant Q&A

A hidden semi-Markov model allows the probability of leaving a hidden state to depend on time spent in that state, unlike a standard hidden Markov model’s memoryless transition structure. The document asks whether a trading model could also use cumulative…

Machine learningStatisticsEquitiesTrend following
Quant Q&A

The document asks how to price structured products that depend on three-month EURIBOR, including constant-maturity swap spreads, range accruals, and target redemption notes, when discounting uses €STR. It proposes modeling the €STR short rate with a…

Fixed incomeDerivatives pricingVolatility
Quant Q&A

A stock’s closing price and the next session’s opening price can differ because the market reprices the stock between those observations. Overnight news is a common cause, and trading outside regular hours can also contribute. The chart records prices at…

EquitiesMarket microstructure
Quant Q&A

The document asks how to set the contingent payment for a pay-later option whose holder receives the call payoff when the underlying finishes above the strike and then pays a fixed amount. Because the holder pays nothing at inception, the answer treats the…

OptionsDerivatives pricing
Quant Q&A

The document examines why exchange market data is sold rather than made freely available, including whether public access would improve transparency and whether historical tick data could be released without charge. The responses frame exchange data as both…

Market microstructureExecution
Quant Q&A

The document distinguishes three return measures used to assess a security or portfolio. Active return compares an investment’s return with the market return. Excess return compares it with the risk-free rate, while market excess return is the market’s…

EquitiesStatisticsFactor investing
Quant Q&A

The document considers a three-year coupon bond with annual payments and a continuously compounded interest rate. It clarifies that continuous compounding must be handled consistently when discounting the coupons and principal. The posted response notes that…

Fixed incomeStatistics
Quant Q&A

The document gives a simple way to estimate the fixed rate on a forward starting interest rate swap from spot starting swap rates. It treats the longer term as a combination of an initial period, or head, and a later period, or tail. Under a chosen fixed-leg…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document derives a positive exponent that makes the discounted negative power of a Black–Scholes stock price a martingale, as a step toward bounding the value of an American put. It rewrites the stock process using geometric Brownian motion and separates…

OptionsDerivatives pricingStatistics
Quant Q&A

The document concerns locating the S&P 500 membership list for each day from 1960 onward, a data need relevant to historical index analysis. The answer suggests using a Bloomberg terminal and checking whether a university provides access to financial data…

EquitiesUS marketsBacktesting
Quant Q&A

The document explains why the Black–Scholes delta hedge can have gains or losses when volatility changes, despite the model’s claim of a riskless hedge. The key distinction is that the theoretical result assumes geometric Brownian motion and continuous…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

A correlation matrix may show small negative eigenvalues because of floating-point rounding or estimation problems. The document does not supply a universal cutoff for deciding whether a negative value is merely numerical noise. Instead, it points to…

StatisticsPortfolio constructionRisk management
Quant Q&A

The question asks whether the quantities displayed on the ask and bid sides of an order book can measure short positions as a share of market activity. The answer redirects the analysis from resting orders to completed trades: match trade ticks with the best…

ForexMarket microstructureStatistics