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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
Quantpedia
86 documents
TqSdk
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 collects suggestions for software and services that can be used to backtest investment strategies. The examples span a mobile portfolio tool, a Python framework, a form based service, standalone engines, and a brokerage platform with strategy…

BacktestingEquitiesFuturesForex
Quant Q&A

The document studies a two factor stochastic growth model in which the growth component follows a mean reverting diffusion and the level also has direct Brownian noise correlated with that diffusion. The answers derive the conditional expected change in the…

StatisticsRisk managementMean reversion
Quant Q&A

The document asks how a risk surface can turn sensitivities from a model’s implied volatility function into sensitivities to market quoted volatilities. The described method adds an interpolated surface of risk bumps to the model volatility. At the base…

OptionsVolatilityDerivatives pricingRisk management
Quant Q&A

The document asks how to choose the trade size that maximizes profit when exploiting a price difference between two constant-product market-making pools. Because each pool’s quoted rate changes with the amount traded, a small trade can receive a different…

ArbitrageMarket makingDeFiExecution
Quant Q&A

The document explains a two-period definition of arbitrage: a portfolio must have nonpositive value initially, a nonnegative payoff in every later state, and a strictly positive chance of producing value rather than zero throughout. This framework clarifies…

ArbitrageStatisticsRisk management
Quant Q&A

The document compares approaches to retrieving SEC 10-K information, depending on whether a researcher needs standardized financial data or the original filings. For historical fundamentals such as income statements, balance sheets, and cash flow statements,…

EquitiesUS marketsExecution
Quant Q&A

The document asks how to size a four leg iron butterfly and warns that expiration payoff calculations alone do not capture risks while the position is open. The response highlights execution costs, liquidity, assignment, margin, and the possibility of forced…

OptionsRisk managementPosition sizingVolatility
Quant Q&A

The document distinguishes an analytic swap PV01 from a market risk measure calculated by shifting rates. Analytic PV01 measures the value change from moving the fixed coupon by one basis point while holding discount factors unchanged; it is useful for…

Fixed incomeDerivatives pricingRisk managementStatistics
Quant Q&A

The document considers whether an equities focused algorithmic firm could earn very high annual returns, including a claim of 100% returns from event driven trading and text mining. Its responses say such outcomes may be possible but emphasize that returns…

EquitiesEvent-drivenHigh-frequency tradingRisk management
Quant Q&A

The document explains how an observer could estimate the gross premium associated with a reported SPY call trade using option-chain data. The key inputs are the option’s trading volume, the contract multiplier, and the option price. In the example, the cited…

OptionsEquitiesUS markets
Quant Q&A

The document discusses estimating the volatility and mean-reversion parameters of a Hull–White short-rate model when the market has daily overnight rates and a swap-based zero-coupon curve but no actively traded options. It distinguishes estimation from…

Fixed incomeDerivatives pricingVolatilityStatistics
Quant Q&A

The document derives probabilities for the first observation date on which a geometric Brownian motion underlier exceeds an autocall barrier. It writes the asset as an exponential of drift and Brownian motion, then converts the barrier condition at each…

Derivatives pricingStatisticsFixed income
Quant Q&A

The document examines whether combining a long butterfly, which benefits from a price near its center at expiration, with a long straddle, which benefits from a large move, can produce a profit across all terminal prices. The accepted answer explains the…

OptionsDerivatives pricing
Quant Q&A

The document considers the limit of a discrete sum involving two geometric Brownian motions, with a constant offset applied to one process. It defines a partition of the time interval and rewrites the sum using increments of the second process. As the…

Statistics
Quant Q&A

The document presents a mean-variance framework for a fully invested portfolio, then decomposes holdings into benchmark weights and active weights. Under the stated setup, the active-weight optimization maximizes expected active return while penalizing…

Portfolio constructionStatisticsEquities
Quant Q&A

The document explains why summing SPY’s daily close-minus-open changes does not match the difference between its first opening price and final closing price over the same period. The calculation captures only price movement within each regular session, so it…

EquitiesUS marketsStatistics
Quant Q&A

The document addresses how to prevent an order-tracking system from recording the same execution more than once when a broker does not provide a separate identifier for each lot. The example includes fills with matching quantities and prices, showing why a…

ExecutionMarket microstructure
Quant Q&A

The document asks whether negative short-term risk-free rates require changes to the Black-Scholes option pricing formula. Its answer says the standard model does not require the rate to be positive, so a negative rate can be used directly. Under the stated…

OptionsDerivatives pricingVolatility
Quant Q&A

The document addresses why interest rate swaps are often valued using forward rates derived from today’s yield curve instead of simulating each future floating payment. It explains that spot rates are bootstrapped from traded instruments and imply forward…

Fixed incomeArbitrageDerivatives pricing
Quant Q&A

The document explores whether a high price-to-earnings multiple can benefit shareholders when a company’s earnings rise. It reasons that, if the multiple stays unchanged, each additional unit of earnings per share translates into a larger price change at a…

EquitiesFactor investingStatistics
Quant Q&A

The document introduces the risk-neutral density as the probability distribution of an asset price under an equivalent martingale measure. It asks whether that distribution can be described by a density with respect to ordinary length on the price axis, and…

StatisticsDerivatives pricing
Quant Q&A

The note explains how to use trade-level profits with PerformanceAnalytics, whose functions generally expect return data rather than a raw list of trade P&L values. One suggested workflow is to record transactions in the blotter package, calculate cash P&L,…

BacktestingPortfolio constructionRisk management
Quant Q&A

The note asks whether a government bond yield can be divided into an expectations component and a term premium within the Heath–Jarrow–Morton framework. It distinguishes a real-world view of yields, in which investors may describe yields as expectations plus…

Fixed incomeStatisticsArbitrage