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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

20,364 documents

Quant Q&A

The document tests whether the process formed by multiplying one standard normal random variable by the square root of time is Brownian motion. Although each value has a normal distribution with mean zero and variance equal to time, those marginal…

StatisticsDerivatives pricing
Quant Q&A

The document describes a time-series analysis of European equity industry portfolio returns against Fama–French factor returns, with momentum included in one model. The portfolios include a value-weighted portfolio and equally weighted portfolios formed by…

EquitiesFactor investingStatistics
Quant Q&A

The document explains how Greeks for swaptions, caps, floors, and other interest rate options are defined and calculated. They measure sensitivity of a derivative’s value to pricing inputs. Because interest rate pricing depends on an entire curve, the…

Fixed incomeOptionsDerivatives pricingRisk management
Quant Q&A

The document explains the drift in the extended Vasicek, or Hull–White, short-rate model. Under the risk-neutral measure, the short rate follows a mean-reverting process with a time-dependent drift term and volatility. The drift is not itself the riskless…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document considers how to choose portfolio weights that are proportional to risk budgets divided by asset volatilities, while meeting a target portfolio volatility and other constraints. It contrasts this objective with a risk-budgeting formulation that…

Portfolio constructionRisk managementPosition sizing
Quant Q&A

The document asks how to identify the most likely value associated with a call option when the underlying price is lognormally distributed. It starts from the discounted expected call payoff and distinguishes the mode of the underlying price distribution…

OptionsDerivatives pricingStatistics
Quant Q&A

The document compares simulating three assets independently with simulating them jointly through a multidimensional geometric Brownian motion. In the joint approach, correlated log returns are represented using a covariance structure and Cholesky…

Multi-assetRisk managementStatistics
Quant Q&A

The document asks how to formulate a Kalman filter for return-based style analysis, where a fund’s returns are related to factor returns and the factor exposures may change over time. It proposes modeling the beta coefficients as the hidden state, perhaps…

Factor investingStatisticsMachine learning
Quant Q&A

The document examines whether adding a swap payment period changes the value of American and Bermudan swaptions in a predictable order. It defines co-terminal and co-initial swap structures, their exercise schedules, and the proposed comparisons between…

OptionsFixed incomeDerivatives pricing
Quant Q&A

The document asks why a bank may incur a cost when it holds a positive derivative value as a receivable before cash settlement. It distinguishes the economic profit implied by a future payment from cash already available to the bank, and considers whether…

Derivatives pricingFixed incomeRisk management
Quant Q&A

The document explains why pension funds and endowments may invest directly alongside private equity or venture capital funds. Co-investment can let an institution increase its exposure to a deal it finds especially attractive beyond its proportional…

Portfolio constructionRisk management
Quant Q&A

The document addresses two points about an example of VaR manipulation: a likely sign error in an inequality and how a put strategy changes reported risk and profit. The answer says the displayed ordering is consistent if the intended condition is that both…

Risk managementOptionsDerivatives pricing
Quant Q&A

The document asks how to price a zero-coupon bond from a short-rate model, starting with the risk-neutral conditional expectation of the exponential of the negative accumulated short rate. It names several model families and asks how simulated rates,…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document considers why trading firms might locate near Bloomberg’s data center and relay information to New Jersey over microwave links. It distinguishes market news from information available through Bloomberg’s electronic trading platform, EMSX. The…

ExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The document explains how floating-rate notes linked to overnight benchmarks accrue interest over a coupon period. It frames the calculations as adaptations of overnight indexed swap compounding and distinguishes simple averaging from compounding. It also…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The answer recommends separating operational monitoring from strategy monitoring when running automated trading systems. Operational checks include server heartbeats and alerts, centralized log persistence, and visibility into CPU and memory use. It…

ExecutionRisk managementMarket microstructureBacktesting
Quant Q&A

The discussion considers whether short-term directional strategies may work better in markets with more uninformed traders. The response says uninformed flow can be valuable because it is less informed about near-term prices, but does not develop a strategy…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The document discusses which market instruments can provide data for constructing yield curves during the transition from LIBOR to SOFR. It describes the familiar LIBOR approach, which uses forward rate agreements, futures, and swaps referencing the relevant…

Fixed incomeFuturesDerivatives pricingMarket microstructure
Quant Q&A

The document considers a bond with a call and a put exercisable on the same date, using different strikes to illustrate how the embedded options affect value. Under its stated assumptions—a forward bond price of 100 and no discounting—the example values the…

Fixed incomeOptionsDerivatives pricing
Quant Q&A

The document addresses where to obtain historical European Union Allowance futures data at intraday frequency for carbon market research. The response points to a commercial market data vendor that offers trade histories and, optionally, quote histories for…

FuturesCommoditiesMarket microstructureBacktesting
Quant Q&A

The document explains why a historical portfolio Value at Risk calculation can return an empty result at a high confidence level. The cited implementation converts the confidence level to a lower-tail probability, multiplies that probability by the number of…

Risk managementStatisticsPortfolio constructionBacktesting
Quant Q&A

The document distinguishes reinsurance by the losses to which the retention and coverage limit apply. Stop-loss reinsurance covers aggregate losses over a period: the reinsurer pays the portion of total losses above a retention, potentially capped at a…

Risk managementStatistics
Quant Q&A

The document describes an attempt to infer local volatility from synthetic option prices generated under a Heston stochastic volatility model. Prices are computed with the COS method, while finite differences estimate the time derivative of call prices and…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to derive the conditional distribution of a Brownian motion value between two observed times. Given the values at the interval endpoints, it states that the intermediate value is normally distributed, with a mean formed by linear…

Statistics