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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
Quantopian lectures
45 documents
Binance API docs
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 considers how to estimate and plot volatility from a long history of FTSE closing prices. Its code calculates log returns, but the questioner’s approach appears to treat the deviation of each individual return from the overall mean as a…

VolatilityStatisticsTechnical indicators
Quant Q&A

The document addresses questions about the meaning of Bloomberg’s PX_VOLUME field, identifying a share-count field, and differences between Bloomberg volume data and figures published by the Bombay Stock Exchange. The response gives one practical direction:…

EquitiesMarket microstructure
Quant Q&A

The document explains the distinction between how stock prices are observed and how they may be modeled. A stock price is recorded at discrete times and usually on a permitted price grid, yet a model can treat time and price as continuous variables. The…

EquitiesStatistics
Quant Q&A

The document explains what it means for forward swap rates to be realized and how that differs from the yield curve simply remaining unchanged. In its example, a pay-fixed swap is entered at the current par rate, and the relevant comparison after one year is…

Fixed incomeDerivatives pricingCarryRisk management
Quant Q&A

The document asks how activity by multiple traders can affect temporary price impact on both sides of an order book. In the Almgren–Chriss framing, it distinguishes a joint permanent impact term, which depends on aggregate trading rates, from a common…

Market microstructureExecutionStatistics
Quant Q&A

The document asks how to construct weekly returns from daily price data using Wednesday closing prices. When Wednesday has no valid trading price, the question proposes using the next available valid closing price. It refers to log returns between selected…

StatisticsBacktesting
Quant Q&A

The document asks how to estimate returns for a bond fund tracking a broad US bond index over a 20–30 year horizon or longer. For intermediate horizons, it describes a common approach: combine the average starting yield with expected roll-down return and…

Fixed incomeUS markets
Quant Q&A

The document considers whether measuring geometric Brownian motion at weekly rather than daily intervals lowers annualized volatility. Under the stated assumption of independent, normally distributed returns, variance grows linearly with time. Scaling the…

StatisticsVolatilityBacktesting
Quant Q&A

The document explains why Treasury spline curves fitted by different firms can produce different estimates of relative value. Curve construction involves choices about which bonds to include, how to weight observations, where to place knots, how much…

Fixed incomeStatisticsMean reversion
Quant Q&A

The document explains the drift term in a simple short-rate stochastic model and relates it to a broader family of interest-rate models. In the stated model, the drift is a constant contribution to the rate’s expected change over time, while the random term…

Fixed incomeStatistics
Quant Q&A

The document considers whether an index dividend yield can stand in for the yields of its constituent stocks when estimating dividend shocks for historical value at risk. It argues against using the index yield as a proxy for individual names, noting that…

EquitiesRisk managementStatistics
Quant Q&A

The document distinguishes the return skewness of momentum strategies across asset classes and strategy types. It reports that equity cross-sectional momentum has negative skewness, associated in the cited literature with sharp rebounds among prior losers…

MomentumEquitiesCommoditiesForex
Quant Q&A

Futures contracts are not generally paid for in full when opened; the settlement price supports daily mark-to-market valuation and final settlement at expiry. The document says exchanges often derive it from an average of late-day trades, reducing the impact…

FuturesExecutionMarket microstructureRisk management
Quant Q&A

The discussion examines why rational investors may dislike risk in the CAPM framework and challenges the claim that holding a risky investment for many years makes it effectively safer. It distinguishes the expected annual return from realized returns: a…

Risk managementStatisticsPortfolio construction
Quant Q&A

The document asks whether Bloomberg Terminal can identify securities using CRSP permanent security numbers or Compustat company keys, and how its coverage compares with familiar identifiers. The response reports seeing support for several international and…

EquitiesMulti-asset
Quant Q&A

The document discusses ways to identify stock splits in multi-year equity price panels and adjust historical observations. One suggestion is to compare adjusted close with close over time and flag large changes in their ratio as possible splits. Another is…

EquitiesStatistics
Quant Q&A

The document raises a pricing question about bonds with constant-maturity swap (CMS) coupons in euros, where interest rates may be negative. It asks whether the convexity adjustment from Hull, which assumes lognormal rates, can be adapted to a normal-rate…

Fixed incomeDerivatives pricingVolatility
Quant Q&A

The document examines how a rise in implied volatility for a short-expiry option may affect a longer-expiry option with the same strike, assuming the event driving the move occurs within the shorter option’s life. The answer models volatility across time…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document distinguishes trading expected returns from trading mean reversion in the residuals of a factor model. Its answer argues that residual strategies can capture unexplained, potentially orthogonal return sources, which may diversify established…

EquitiesMean reversionFactor investing
Quant Q&A

The document explores estimating daily volatility for government bonds from open, high, low, and close prices. It notes that a daily high-low range can distinguish sessions with larger and smaller intraday fluctuations, then identifies the Garman-Klass…

Fixed incomeVolatilityStatisticsTechnical indicators
Quant Q&A

The note discusses the conditional-expectation formula that values a derivative as its future payoff discounted at the short rate under a risk-neutral measure. Its key distinction is between using a measure once it has been specified and establishing that…

Derivatives pricingRisk managementFixed income
Quant Q&A

The note distinguishes fitting an implied volatility surface at the current time from specifying how that surface changes as time passes and the underlying price moves. A cross section indexed by maturity and strike can be fitted to current market data, but…

OptionsVolatilityDerivatives pricing
Quant Q&A

The document asks how to include lags when applying least squares Monte Carlo to a timing real option. The project can be started at monthly decision dates over a five-year window, while revenue follows a non-Markov ARMA process sampled hourly over a…

OptionsCommoditiesBacktestingStatistics
Quant Q&A

The note applies the first fundamental theorem of asset pricing to explain why an attainable claim has the same value under every martingale measure. Given a replicating strategy, the theorem expresses its value at any time as the conditional expectation of…

Fixed incomeDerivatives pricingStatistics