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 post considers how to decide whether an implied volatility smile has unusually large skew. It defines local skew as the slope of implied volatility against log moneyness, while noting that the raw slope depends on the volatility level and may need…

OptionsVolatilityDerivatives pricingBacktesting
Quant Q&A

The post asks whether minimum-risk and minimum-variance portfolios are equivalent, prompted by a paper that distinguishes proposed minimum-risk portfolios from traditional minimum-variance portfolios. The answers explain that the distinction depends on how…

Portfolio constructionRisk managementStatistics
Quant Q&A

The post asks for readable resources that build intuition for the Black–Scholes Greeks, especially through visualizations of how measures such as delta and vega change with time and moneyness. It also seeks guidance on using Greeks to structure options…

OptionsDerivatives pricing
Quant Q&A

The question considers insuring a portfolio of large- and small-cap US equity ETFs against a loss beyond a portfolio-wide threshold. It contrasts a single payoff based on the combined basket with separate options on each holding, which could pay when one…

OptionsEquitiesDerivatives pricingRisk management
Quant Q&A

The discussion distinguishes the two-stage Fama–MacBeth procedure from a linear factor model implementation. In the procedure described, asset betas are first estimated, potentially with a rolling window, then a separate cross-sectional regression is run for…

StatisticsFactor investingEquitiesMachine learning
Quant Q&A

The answer proposes that some firms infer large investors’ buying or selling through information shared by prime brokerage personnel. Its account is that investment managers disclose information when seeking prime brokerage services, and that connections…

EquitiesMarket microstructureUS marketsEvent-driven
Quant Q&A

The document asks whether a machine-readable source reports Federal Reserve target-rate changes close to the time of an FOMC announcement. It contrasts the desired near-real-time update with the cited FRED upper- and lower-bound series, which the question…

Fixed incomeUS marketsEvent-driven
Quant Q&A

The document frames portfolio construction as minimizing variance, expressed with a covariance matrix and portfolio weights that sum to one. It asks how to add lower and upper limits on the weights when implementing a constrained minimum-variance problem,…

Portfolio constructionRisk management
Quant Q&A

The document proposes evaluating how well TIPS breakeven inflation rates correspond to inflation realized over the matching bond horizon. The breakeven measure is described as the yield difference between a nominal Treasury and a comparable TIPS. For…

Fixed incomeStatistics
Quant Q&A

The document explains how put–call parity and strike-spread bounds can determine whether a one-year put with a strike of 100 is mispriced, given a call with a strike of 90, the stock price, and the risk-free rate. It derives the value of the 90-strike put…

OptionsArbitrageDerivatives pricing
Quant Q&A

The document explains why using the same numerical volatility input in the Bachelier and Black–Scholes models can produce very different call prices. Although both models describe uncertainty in an underlying price, their volatility parameters use different…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The document uses the Brownian reflection principle to relate the terminal value of Brownian motion to its running maximum. On the specified region, where the barrier height exceeds the terminal-value threshold, reflecting paths at the barrier maps an event…

Statistics
Quant Q&A

The document frames a practical question about pricing resting buy and sell limit orders in a market making strategy for liquid futures. It asks which microstructure signals should influence quotes and raises portfolio valuation as a related concern. The…

FuturesMarket makingMarket microstructureExecution
Quant Q&A

The document explains how to transform a one-dimensional diffusion so its stochastic term has constant volatility. Starting from an SDE with state-dependent volatility, Itô’s lemma shows that applying a function multiplies the diffusion coefficient by the…

StatisticsVolatility
Quant Q&A

The document surveys several approaches to modeling limit order books and market microstructure: agent-based models, point-process models, propagator models, and Markov-chain approaches such as the Queue Reactive model. It describes the strengths associated…

Market microstructureHigh-frequency tradingMachine learningStatistics
Quant Q&A

The document points readers to research on estimating and forecasting volatility from very short-interval, tick-by-tick data. It highlights estimators designed to reduce distortion from market microstructure, along with work on realized variance, noise…

VolatilityHigh-frequency tradingMarket microstructureStatistics
Quant Q&A

The document explains how to interpret volatility forecasts from an ARMA-GARCH model. A GARCH equation produces a conditional variance, so taking its square root gives the corresponding conditional standard deviation, commonly called volatility. The key…

VolatilityStatisticsRisk management
Quant Q&A

The document answers a request for mathematically rigorous foreign-exchange modeling references that also reflect a practitioner quant perspective. Its recommendations focus on books about pricing FX options, modeling smile risk, and valuing structured…

ForexOptionsDerivatives pricing
Quant Q&A

The document asks how to compare historical volatility estimates over nested windows using logarithms. It calculates each adjacent log change by subtracting the logarithm of the earlier estimate from that of the later estimate. Because the volatility…

VolatilityStatistics
Quant Q&A

The document surveys ways to estimate which kinds of participants are active in a market, while noting that reliable high-frequency identification is difficult, especially in equities. Suggested sources and proxies include weekly futures positioning reports,…

Market microstructureHigh-frequency tradingFuturesEquities
Quant Q&A

The document considers how to calculate returns for a portfolio combining equities and credit, using an equity index and an investment-grade credit index as examples. It cautions that a credit default swap position does not have a meaningful return from…

Fixed incomeDerivatives pricingPortfolio construction
Quant Q&A

The document explains how to extend the familiar Heston characteristic function for log price to the joint distribution of log price and variance at a future time. It first writes the model as a two-dimensional diffusion, using independent Brownian motions…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document addresses unexpectedly low beta estimates for stocks in the FTSE 100. It explains beta as the slope in a regression of a stock’s returns on benchmark returns: stock return is the dependent variable, and index return is the independent variable.…

EquitiesStatisticsRisk managementUS markets
Quant Q&A

The document describes how agency mortgage-backed securities relate to their underlying loan pools and to broader market groupings. A single-pool security is tied to a defined set of loans, while aggregated products such as Mega, Giant, or Platinum pools…

Fixed incomeUS marketsMarket microstructure