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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

9,797 documents

Quant Q&A

The discussion addresses why a yield curve built from three-month Eurodollar futures can shift downward even while the Federal Reserve is reducing asset purchases. Its central point is that futures-implied rates do not represent expectations of future policy…

Fixed incomeFuturesVolatility
Quant Q&A

The document outlines the basic comparison used to investigate whether an S&P 500 futures contract is mispriced relative to the underlying shares. The proposed reference is the value of the index, represented in practice by a representative basket of…

EquitiesFuturesArbitrageMarket microstructure
Quant Q&A

The document addresses how overlapping delivery periods can affect principal component analysis of gas forward curves. A monthly contract may also be included inside a quarterly or calendar contract, so treating all quoted contracts as independent curve…

CommoditiesFuturesStatisticsPortfolio construction
Quant Q&A

The document considers whether exchange-listed rate futures can support an approximate US dollar yield curve when over-the-counter swaps and cash Treasury prices are unavailable. The instruments discussed include Eurodollar futures, Federal Funds futures,…

Fixed incomeFuturesUS marketsStatistics
Quant Q&A

The document compares two ways of estimating daily volatility from closing prices: an exponentially weighted standard deviation of ordinary percentage changes, and a method from a financial machine-learning text that searches for a prior observation near one…

StatisticsVolatilityMachine learningFutures
Quant Q&A

The document asks whether payment delays in overnight-rate OIS coupons require convexity adjustments when bootstrapping a single-curve SOFR discount curve. It describes a practitioner comparison of Bloomberg curve construction with published OIS formulas:…

Fixed incomeDerivatives pricingFuturesUS markets
Quant Q&A

The document explains why a futures trade can increase, decrease, or leave open interest unchanged. The key is that “new” and “closing” refer to positions in the same listed contract, rather than separate contracts with different maturities. When both…

FuturesMarket microstructure
Quant Q&A

The document explores how to estimate value at risk for a portfolio containing forwards and European puts. It proposes calculating each instrument’s profit or loss at a simulated maturity price, adding those component outcomes, and taking a tail quantile…

Risk managementOptionsFuturesDerivatives pricing
Quant Q&A

The discussion examines rho for a call option priced with the Black 76 model. Under the stated setup, the futures price is modeled without risk-free-rate growth, and the quoted call price discounts the payoff at the risk-free rate. If the futures price and…

OptionsFuturesDerivatives pricingVolatility
Quant Q&A

The document explains why historical data for ES E-mini options can begin at different times before expiration. The accepted answer clarifies that these expirations are available well in advance; a data series begins when trades or other recorded market…

OptionsFuturesDerivatives pricingMarket microstructure
Quant Q&A

The document explains how continuous futures construction can distort the apparent long-run behavior of volatility futures. It contrasts additive back-adjustment, which shifts earlier prices by the difference between successive contracts, with multiplicative…

FuturesVolatilityBacktesting
Quant Q&A

The document explains that convergence of stochastic processes needs a specified sense of convergence, and identifies weak convergence in the Skorokhod J1 topology as a relevant framework for càdlàg processes. A typical argument establishes tightness of the…

StatisticsFutures
Quant Q&A

The document considers whether a position that trades one S&P futures contract against another has residual delta requiring a hedge. The response says a small dollar delta can reflect interest rate exposure between the two contracts’ roll dates. This is a…

FuturesRisk managementDerivatives pricing
Quant Q&A

The document explains how yield relative to the 6% conversion-factor benchmark can change which bond is cheapest to deliver in a futures contract. A conversion factor is the bond’s clean price at a 6% yield. To compare delivery candidates at a market yield,…

Fixed incomeFuturesDerivatives pricingRisk management
Quant Q&A

The document examines how to interpret a study’s reported returns for a short gamma strategy in S&P 500 options. The strategy’s daily dollar profit and loss is divided by the prior day’s index level, rather than by the initial option premium or trade cost.…

OptionsFuturesRisk managementBacktesting
Quant Q&A

The document discusses whether AI can map Reuters Instrument Codes to Bloomberg tickers and describes practical obstacles to building such a system. Training examples may require licensed identifier data and substantial manual preparation, while full market…

EquitiesFuturesOptionsMarket microstructure
Quant Q&A

The document asks whether at-the-money implied-volatility skew should match between ES futures options and SPX index options for the same maturity. It defines skew as the slope of implied volatility with respect to log-moneyness, where log-moneyness depends…

OptionsFuturesEquitiesVolatility
Quant Q&A

The document examines why index futures may show larger absolute price moves than the underlying index even when they trade in backwardation. It distinguishes futures delta, which describes the price relationship implied by the basis, from a hedge ratio…

FuturesSpot marketsDerivatives pricingRisk management
Quant Q&A

The discussion describes the close relationship between SPY and S&P 500 futures. Their prices tend to move together, while the difference between them—the basis—reflects technical factors. The answer says the instruments are broadly interchangeable, though…

EquitiesFuturesOptionsMarket microstructure
Quant Q&A

The document explains why a Treasury futures settlement price cannot be converted to a bond yield by treating the contract as a single fixed-coupon bond. A futures contract can have several eligible deliverable securities, each with a conversion factor…

FuturesFixed incomeDerivatives pricing
Quant Q&A

The discussion explains how to build historical simulation VaR for a commodity forward whose delivery period is fixed. The key principle is to simulate changes in the current contract’s value using historical changes in its underlying risk factors, then…

CommoditiesFuturesVolatilityRisk management
Quant Q&A

The document examines the argument that a trader with enough capital to meet margin calls can hold a leveraged stock-index futures position through a severe decline and eventually recover when the market rebounds. The replies challenge the assumption that…

FuturesRisk managementPosition sizingStatistics
Quant Q&A

The document raises a fixed-income relative-value question about trading a deliverable bond that is not the cheapest to deliver (CTD) against a bond future. The proposed position is long the cash bond and short the future, with the expectation that the…

Fixed incomeFuturesArbitragePairs trading
Quant Q&A

The document considers how to estimate potential mark-to-market losses when futures positions are rolled over the life of a structured product. The product described combines a bull put strategy with futures positions sized according to the options’ delta,…

FuturesVolatilityRisk management