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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 discusses quality checks for daily stock records containing open, high, low, close, adjusted close, and volume. Beyond basic consistency rules—such as checking whether the close or open falls outside the daily high-low range—it recommends…

EquitiesBacktestingStatistics
Quant Q&A

The document explains a practical simplification for applying the Merton structural credit model across companies with varied debt schedules. In the basic model, equity is treated as a call option on firm value, with total debt represented by a face value…

Fixed incomeRisk managementStatistics
Quant Q&A

The document collects public claims and opinions about Renaissance Technologies’ Medallion fund rather than establishing a definitive account of its trading strategy. Suggested techniques include algorithmic trading, information theory, hidden Markov models,…

Machine learningStatisticsHigh-frequency tradingExecution
Quant Q&A

The document distinguishes valuing a floating-rate note from estimating its expected coupon cash flows. For valuation under a single-curve framework, one can derive forward rates from the yield curve, use them to estimate future coupons, and discount those…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document addresses how to construct a zero-coupon Treasury curve when a cash-flow matrix has more coupon-date columns than bond-price rows. One proposed approach is to select a maturity-spaced set of securities, then create hypothetical bonds from nearby…

Fixed incomeStatisticsPortfolio construction
Quant Q&A

The document describes a research need for reliable Heston option prices, especially for options far out of the money. The author reports that numerical instability in a current implementation produces slightly negative or oscillating prices, which then…

OptionsVolatilityDerivatives pricingMachine learning
Quant Q&A

The document explains how to estimate EUR/USD forward rates from spot and interest rates using covered interest rate parity (CIP). Rates must match the forward’s maturity: an overnight rate is not a substitute for a one-year rate, and the calculation needs…

ForexFixed incomeCarryArbitrage
Quant Q&A

The document asks what “global” means in the term global minimum-variance portfolio and how it differs from a minimum-variance portfolio. The accepted answer distinguishes the unconstrained search across all possible return levels from the common…

Portfolio constructionStatistics
Quant Q&A

The document asks whether monthly returns on a ten-year government bond can stand in for a monthly risk-free return, assuming sovereign default risk is ignored. The answers largely reject that proxy, emphasizing the mismatch between a long-maturity bond…

Fixed incomeStatistics
Quant Q&A

The document describes a proposed research approach: define learning environments from market microstructure models with known solutions, then use reinforcement learning to see whether agents recover features of those equilibria. As an initial example, the…

Machine learningMarket microstructureExecutionPortfolio construction
Quant Q&A

The document introduces a reduced-form credit bond model in which default is represented as the first jump of a Poisson process and the hazard rate is stochastic. It writes a differential expansion for bond price as a function of time, hazard rate, and the…

Fixed incomeStatisticsDerivatives pricing
Quant Q&A

The document describes how a delta-hedged option position can generate gains or losses as the underlying moves. Rebalancing the hedge offsets the option’s first-order price sensitivity, while the remaining daily change is approximated by a gamma term linked…

OptionsVolatilityRisk management
Quant Q&A

The Fama–MacBeth procedure first estimates each asset’s factor exposures with time-series regressions, then runs cross-sectional regressions at each date using those exposures to explain returns. The second-stage gamma coefficients estimate time-varying…

EquitiesFactor investingStatistics
Quant Q&A

The document explains how to calculate the probability that a life survives across multiple years using annual mortality-table probabilities. If q at age x is the probability of dying before the next birthday, then p at that age is its complement, the…

StatisticsRisk management
Quant Q&A

Black–Litterman needs equilibrium weights for a market portfolio to infer implied returns. When the investment universe contains a mix of assets such as stocks and bonds, market capitalizations may be unavailable or hard to compare, so the document…

Multi-assetPortfolio constructionStatistics
Quant Q&A

The document discusses hedging exposure to oil prices with forward contracts and asks whether one contract per asset is automatically the right hedge. The responses emphasize that the appropriate ratio depends on the objective and on how well the forward…

CommoditiesFuturesRisk managementPosition sizing
Quant Q&A

The document contrasts local volatility models, where price diffusion is driven by a volatility function of price and time, with stochastic volatility models that add a random volatility state coupled to the price process. It asks whether a local volatility…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document explains how implied volatility affects option value across moneyness in the Black–Scholes framework. Put–call parity links a deep in-the-money call to an out-of-the-money put, so their volatility sensitivities are qualitatively symmetric. This…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document investigates why two R packages produce different values for an American call using the Barone-Adesi–Whaley approximation. The answers identify two interface issues: one function takes spot before strike while another expects strike before spot…

OptionsDerivatives pricingStatistics
Quant Q&A

The document addresses two conceptual gaps in a Black-Scholes derivation: why the hedge removes risk and why the hedged portfolio must grow at the risk-free rate. It explains that choosing the stock position to match the option’s delta cancels the…

OptionsDerivatives pricingRisk managementStatistics
Quant Q&A

The document asks where to obtain free dividend history for companies listed outside the United States. It points to Yahoo Finance as a source, with examples from Germany, Switzerland, France, and Spain. Historical dividend events can be retrieved as CSV,…

EquitiesStatistics
Quant Q&A

The document explains why dynamically hedging an option’s delta does not generally turn the position into a risk-free bond equivalent. Delta hedging reduces exposure to small directional moves, but leaves volatility exposures, including gamma and vega, as…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document discusses how to represent brokerage fees, bid-ask effects, and slippage when simulating daily stock trades without quote data. It argues that a single relative transaction-cost rate cannot be assumed realistic across all situations: costs vary…

EquitiesBacktestingExecutionMarket microstructure
Quant Q&A

The document explains how to calculate variance for a portfolio that is long one stock, short another, and holds the remaining capital in cash. Its example uses weights of 1.0 in stock A and -0.5 in stock B, with cash completing the total portfolio weight.…

EquitiesStatisticsPortfolio construction