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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

A hedge curve template (HCT) specifies the market instruments and curve-building method used to create scenarios for measuring an instrument’s risk. Its design determines which rate changes the risk report can show and how closely those scenarios resemble…

Fixed incomeRisk managementDerivatives pricing
Quant Q&A

The document surveys software and approaches for examining limit order books over time. The requested capabilities include displaying bids and asks, switching between individual orders and aggregated price levels, tracking changes through time, replaying…

Market microstructureExecutionHigh-frequency tradingStatistics
Quant Q&A

The document discusses constructing a model-free implied-volatility measure from a range of traded call and put prices. The described procedure first builds an implied-volatility skew by interpolating and extrapolating market observations with a cubic…

EquitiesOptionsVolatilityDerivatives pricing
Quant Q&A

The document addresses whether a trader keeps queue position after increasing the size of a resting limit order. Its example starts with a smaller order at the best bid and considers submitting an update when the desired size grows. The accepted response…

ExecutionMarket microstructure
Quant Q&A

The document asks how to price a floorlet whose payoff depends on a linearly compounded rate derived from a bond price. It specifies a risk-neutral model in which the short rate and a second state variable, sigma, both evolve stochastically. The proposed…

Fixed incomeDerivatives pricingVolatility
Quant Q&A

The document explains how to obtain swap rates along simulated paths in a one-factor Hull–White short-rate model. The model describes the short-rate dynamics, and its analytical zero-coupon bond pricing formula relates each bond price to the current short…

Fixed incomeDerivatives pricingStatisticsOptions
Quant Q&A

The document considers whether value-at-risk or conditional value-at-risk (also called expected shortfall) is better suited to portfolio construction, focusing on a long/short equity portfolio without options. It summarizes a debate over risk measure…

Risk managementPortfolio constructionStatisticsEquities
Quant Q&A

The document addresses how to calculate fair value for a futures contract on a two-stock index when the component stocks pay dividends before expiry. The central issue is that the index level is expressed in index points, so dividends stated as currency…

FuturesEquitiesDerivatives pricing
Quant Q&A

The document explores how a fund of funds with many hedge funds might monitor risk more frequently than its managers’ monthly reporting allows. It compares portfolio-level monitoring with fund-by-fund analysis, which can better expose strategy-specific risks…

Multi-assetRisk managementStatisticsFactor investing
Quant Q&A

The answer adapts the Heston stochastic volatility model to a forward by defining a zero-start log-return process whose exponential is a martingale under the pricing measure. It gives the characteristic function for that process, using the numerically stable…

OptionsDerivatives pricingVolatilityStatistics
Quant Q&A

The post asks whether expected utility portfolio optimization can be formulated when market models permit arbitrage. It references work on pricing under a weakened no-arbitrage assumption, while noting that the cited approach does not resolve utility…

ArbitragePortfolio constructionRisk management
Quant Q&A

The document says short-horizon curve construction depends on the market and intended use. For a USD swap curve, builders can incorporate actively traded instruments with different maturities and frequencies, including monthly fed funds futures, short-dated…

Fixed incomeStatisticsPortfolio construction
Quant Q&A

The document describes a way to turn option open interest and gamma estimates into an aggregate gamma exposure profile. Rather than summing current dollar gamma by strike only at the prevailing index level, the proposed approach recalculates option gamma…

OptionsDerivatives pricingMarket microstructure
Quant Q&A

The document explains how to choose weights for two risky assets when their returns are highly correlated and their volatilities differ. It gives the variance of a weighted return portfolio in terms of the asset weights, individual variances, and cross-asset…

Portfolio constructionRisk managementStatistics
Quant Q&A

This discussion asks whether adding many calls and puts causes portfolio delta to cancel out, and whether the central limit theorem can describe the result. One response stresses that the answer depends on how positions are acquired and how market moves…

OptionsStatisticsMarket makingRisk management
Quant Q&A

This exchange considers whether European-style compound calls and puts retain put–call parity when the underlying is an American option. The central lesson is that the answer depends on the contract’s definition and whether the underlying option can…

OptionsDerivatives pricing
Quant Q&A

This exchange recommends books for a reader seeking an accessible introduction to credit risk management in banking. The question highlights exposure at default, probability of default, loss given default, risk-weighted assets, and regulatory frameworks as…

Risk managementFixed income
Quant Q&A

This overview lists stochastic processes used in quantitative finance and gives their representative stochastic differential equations. Brownian motion provides the random driver; geometric Brownian motion models an asset with proportional drift and constant…

StatisticsVolatilityDerivatives pricingFixed income
Quant Q&A

The document explains how to interpret a short-term fixed-for-floating SOFR swap quote and reproduce its cash flows. The quoted ticker represents a swap with specified settlement and maturity dates; generic instrument descriptions alone do not identify those…

Fixed incomeDerivatives pricingStatistics
Quant Q&A

The document asks how to interpret the local volatility shapes implied by a stochastic-local volatility specification related to SABR. In this setup, the forward rate is scaled by a power of its level, with the exponent controlling the backbone; the author…

Fixed incomeVolatilityDerivatives pricing
Quant Q&A

The document asks which value from an OHLC candle should be used to calculate a simple moving average: the open, close, midpoint, or another price. Its answer is that the choice depends on the intended calculation, while closing prices are the common…

Technical indicatorsStatistics
Quant Q&A

The document asks whether a stock price can imply future volatility in the same way an option price does. The response explains that structural credit models can connect equity value to volatility because equity behaves like a claim on firm assets while debt…

EquitiesOptionsVolatilityDerivatives pricing