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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

9,797 documents

Quant Q&A

The document examines why a finite-difference sensitivity for a Black-76 call may appear to differ from a formula that includes discounting. It distinguishes the option expiry from the forward’s delivery date and explains that the discount factor depends on…

Derivatives pricingOptionsFuturesStatistics
Quant Q&A

This discussion concerns mapping listed option identifiers between Bloomberg and Reuters. It gives an example of an older Reuters RIC pattern for a Eurodollar option: the identifier encodes an exchange marker, strike, expiry month, call or put designation,…

OptionsFuturesMarket microstructure
Quant Q&A

The note examines a claim that an arbitrage-free forward price equals the expected future price of its underlying security. It distinguishes the expectation used for pricing from a real-world forecast: under the risk-neutral pricing measure, the expected…

Derivatives pricingFuturesStatistics
Quant Q&A

The document explores how to adapt volatility targeting when a single EWMA lookback reacts either too slowly to market changes or too strongly to routine variation. It outlines fast and slow EWMA variance estimates, explains how half-life determines the…

VolatilityPosition sizingRisk managementBacktesting
Quant Q&A

The document considers how to express a futures-versus-forward convexity adjustment derived under the Ho-Lee short-rate model when rates are quoted with simple rather than continuous compounding. The stated continuous-rate relation subtracts a term…

FuturesFixed incomeDerivatives pricingStatistics
Quant Q&A

The document explains negative roll yield for a commodity ETF that uses futures to approximate spot exposure. As a held near-expiry contract approaches maturity, its price converges toward spot. In a contango curve, the next contract costs more than the…

CommoditiesFuturesCarry
Quant Q&A

The document asks how to interpret a yield-curve steepener when the curve is inverted. It describes a common two-leg position: buy the shorter-maturity exposure and sell the longer-maturity exposure, with sizing adjusted for the legs’ differing…

Fixed incomeFuturesRisk management
Quant Q&A

When a trading platform prohibits shorting individual stocks but allows short positions in index futures, a desired long-short stock portfolio may be approximated using an index that contains the relevant names. The example targets a long position in one…

EquitiesFuturesPairs tradingArbitrage
Quant Q&A

The document recommends academic texts for learning the foundations of derivatives, including forwards, futures, and options. Shreve’s two-volume Stochastic Calculus for Finance is presented as a suitable route for readers with a strong mathematical…

OptionsFuturesDerivatives pricing
Quant Q&A

The document asks how to build a five-month continuous gold futures series from individual contracts with different listing and expiry dates, in the context of replicating commodity models. It distinguishes the mechanics of stitching nearby contracts from…

FuturesCommoditiesBacktesting
Quant Q&A

The document explains how to use a volatility surface quoted by delta to price an option on a futures contract. For a given option strike, first find the implied volatility associated with that strike: when the surface is quoted by delta, solve for the…

OptionsFuturesCommoditiesDerivatives pricing
Quant Q&A

The note outlines ways to offset interest-rate exposure in a corporate bond using interest-rate futures or swaps. For a futures hedge, it recommends comparing the bond’s DV01 with the DV01 of the futures contract’s cheapest-to-deliver bond, using a contract…

Fixed incomeFuturesRisk managementPosition sizing
Quant Q&A

The document asks whether stock and vanilla option positions can create a synthetic long single-stock future when short puts must be fully cash-secured. It considers buying the stock and writing a put as a possible substitute, while noting the familiar…

EquitiesOptionsFuturesDerivatives pricing
Quant Q&A

The document explains why repo sensitivity can matter to a derivatives market maker even when the trader hedges with direct market positions rather than a repo agreement. Funding has an economic cost whether it comes from external borrowing or the firm's own…

Derivatives pricingMarket makingFuturesEquities
Quant Q&A

The document explains the two-level structure of futures margining and addresses how a clearing house can pay winning traders even when some losing customers fail to meet margin calls. Brokers are responsible to the clearing house for their customers’…

FuturesRisk managementMarket microstructure
Quant Q&A

The document examines a claimed relationship between a futures rate and a forward rate agreement under a T-plus-D measure. The questioner expects the convexity adjustment to equal one, reasoning that the bank-account accumulation and zero-coupon bond terms…

FuturesFixed incomeDerivatives pricingStatistics
Quant Q&A

The document explains which correlation information to use when simulating one-day spot and futures price paths with a Cholesky decomposition. It frames the simulation in terms of changes in the risk factors, specifically the log returns of spot and futures,…

FuturesSpot marketsDerivatives pricingRisk management
Quant Q&A

The document explains how a copula model relates to the variance-minimizing hedge ratio for spot and futures returns. That ratio depends on the correlation between the two return series and their respective volatilities. In a static copula model, the…

CommoditiesFuturesVolatilityRisk management
Quant Q&A

The document explains why physical commodity buyers and sellers use futures markets even when most contracts do not end in physical delivery. It clarifies that exchange classifications such as hedger and speculator do not cleanly separate people with…

CommoditiesFuturesMarket microstructure
Quant Q&A

The document examines how to identify the cheapest-to-deliver bond in a Treasury futures contract. It compares several ranking measures: lowest converted price after carry, highest implied return, highest net-basis profit, and highest hedge ratio. These…

FuturesFixed incomeDerivatives pricingRisk management
Quant Q&A

The document explains why VXX can behave differently from the VIX index. VXX references VIX futures rather than the index itself, holding a rolling exposure to the nearest and next-nearest monthly contracts. To maintain roughly constant maturity as contracts…

VolatilityFuturesDerivatives pricingRisk management
Quant Q&A

The document explains how technical indicators such as moving averages and MACD can be used in neural network trading models. Indicators can be calculated from market data and supplied as predictor variables to the network, alongside raw price data. The…

Machine learningTechnical indicatorsFuturesCommodities
Quant Q&A

The document explains what reported volume generally measures and why its meaning depends on the instrument and market. For exchange-listed stocks, volume usually counts shares traded; the monetary value is commonly called turnover or dollar volume. For…

EquitiesFuturesOptionsForex
Quant Q&A

The document considers digital signal processing for market data, focusing on decompositions such as wavelets that represent a price series as components across time and frequency. Removing high-frequency components can smooth a series, help characterize its…

Technical indicatorsStatisticsMomentumFutures