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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

10,263 documents

Quant Q&A

The question compares broker-displayed theta for SPX index options and E-mini futures options with similar strikes and nearby expiries. Their quoted option prices are close, yet the reported theta differs, prompting a question about whether European versus…

OptionsDerivatives pricingUS marketsVolatility
Quant Q&A

The question asks how dealers estimate mid-market rates for SOFR interest-rate swaps when public order books are not visible. It considers deriving a rate from on-the-run Treasury bonds, using recent swap transactions, or quoting swaps as spreads to Treasury…

Fixed incomeMarket makingDerivatives pricingUS markets
Quant Q&A

This discussion outlines how short-rate models can support pricing for interest-rate derivatives. A modeled short rate produces zero-coupon bond prices and, in some models, closed-form prices for bond options that can be used for products such as caps,…

Fixed incomeDerivatives pricingVolatilityStatistics
Quant Q&A

The document examines how a one-factor mean-reverting stochastic volatility model for instantaneous forward variance might extend to several factors. It describes a lognormal variance process driven by a mean-reverting Ornstein–Uhlenbeck factor, with the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The document works through the one-period condition that the risk-free return must lie strictly between the risky security’s down-state and up-state returns to avoid arbitrage. The questioner first considers shorting the risky asset and investing the…

ArbitrageRisk managementDerivatives pricing
Quant Q&A

The document addresses why an option can have the same arbitrage-free price under real-world and risk-neutral probability descriptions even though the expected future stock price differs between them. It presents a one-period binomial setup with up and down…

OptionsDerivatives pricingArbitrage
Quant Q&A

The document addresses why a Treasury futures contract's quoted price may imply a yield different from the spot yield of a Treasury with a similar stated maturity. Its answer emphasizes that the futures price should be interpreted through the eligible…

FuturesFixed incomeDerivatives pricingUS markets
Quant Q&A

Yield curve construction depends on the date at which the discount factor is set to one. The document explains that market bond prices on a trade date generally reflect settlement on a later date, so a curve built from those prices may be anchored to…

Fixed incomeDerivatives pricing
Quant Q&A

The note examines how to hedge an inverse-price product using a second instrument whose payoff changes linearly with the same underlying. It distinguishes a finite-period payoff, based on the change in the reciprocal of price, from a possible continuously…

Risk managementDerivatives pricingPosition sizingFutures
Quant Q&A

The note describes how to infer a terminal risk-neutral distribution from option prices across strikes. For a given expiry, the call price as a function of strike encodes the distribution: its second strike derivative, adjusted for discounting, gives the…

OptionsVolatilityDerivatives pricingStatistics
Quant Q&A

The note explains why a probability calculated from a one-period up/down asset model can exceed one. The displayed equation uses the risk-free rate, rather than the stock’s expected return, to determine the risk-neutral probability when pricing under the…

Derivatives pricingStatisticsOptions
Quant Q&A

The document asks how practitioners value and mark credit-risky bonds, from corporate debt to structured products. It sketches fixed-rate bond valuation using a government yield curve plus a credit spread, and floating-rate bond valuation using a reference…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks whether machine learning needs to predict option gamma when a trader can rebalance delta hedges over time. It frames a portfolio containing a call, shares, and a second option, with target conditions for zero delta and zero gamma at a later…

OptionsDerivatives pricingRisk managementPosition sizing
Quant Q&A

The exchange explains why equity options can have higher implied volatilities away from the at-the-money strike. Black–Scholes translates option prices into implied volatility under a model with continuous, normally distributed price changes. If actual stock…

OptionsVolatilityDerivatives pricingEquities
Quant Q&A

The document compares FFT and direct integration for evaluating the Carr–Madan option-pricing formula across strikes. The central computational tradeoff is that the characteristic function can be reused across strikes, but the direct method still evaluates…

OptionsDerivatives pricingBacktesting
Quant Q&A

The document explains how arbitrage arguments imply shape constraints on call option prices. For a fixed maturity, a call price must not rise as the strike increases. It must also be convex in strike: otherwise, a butterfly position can produce an upfront…

OptionsArbitrageDerivatives pricing
Quant Q&A

An equity swap exchanging an equity return for LIBOR plus a spread is initially structured so the two legs have offsetting value. The financing spread is linked to the cost and terms of replicating the equity exposure through stock borrowing, lending, and…

EquitiesDerivatives pricingRisk management
Quant Q&A

The document presents a proposed valuation expression for a swaption that gives its holder the right to enter an equity swap as a fixed-rate payer and equity receiver. It defines the swap rate from the discount factors for the swap's payment dates, then…

OptionsDerivatives pricingEquitiesFixed income
Quant Q&A

Inflation delta measures how a derivative’s value changes when inflation rates move. In an inflation derivatives portfolio, it is commonly expressed as sensitivity to a one-basis-point shift in the zero-coupon inflation rate at a given maturity. This frames…

Fixed incomeDerivatives pricingRisk management
Quant Q&A

The discussion examines whether electronic market making demands less quantitative skill than statistical arbitrage, and whether low-latency programming alone can support a trading business. Its central practical point is that fast infrastructure does not…

Market makingMarket microstructureRisk managementExecution
Quant Q&A

The document summarizes concerns about using the Gaussian copula to price credit derivatives. It highlights that the model does not represent fat-tailed outcomes well, is static and therefore cannot readily price forward-starting tranches, and may require…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks how to price a down-and-out call in a Black–Scholes setting. It specifies a strike and barrier at the same level, a spot price above them, zero interest rate, and a stated volatility. The request seeks a simple formula or proxy for this…

OptionsDerivatives pricingVolatility
Quant Q&A

The document outlines ways to hedge the exchange-rate exposure of a bond portfolio whose cash flows are received in a foreign currency. The hedge is intended to gain value when that currency weakens against the investor’s base currency, offsetting the…

Fixed incomeForexRisk managementDerivatives pricing
Quant Q&A

The document compares positive and negative bond convexity from an investor’s perspective. Positive convexity generally means price gains accelerate more as yields fall than price losses accelerate when yields rise. The answer therefore favors greater…

Fixed incomeDerivatives pricingOptionsVolatility