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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 document raises a market-pricing question about VIX options on futures. It observes that one-dollar-wide vertical spreads marked at half their strike width appear to share approximately the same strike across expirations, even when VIX futures are in…

OptionsVolatilityFuturesDerivatives pricing
Quant Q&A

The question reports that a rateslib SOFR curve calibration fails when weekend dates lack fixings, even though SOFR is not published on weekends. The answer offers a small demonstration using a floating accrual period and two otherwise similar curves: one…

Fixed incomeFuturesMarket microstructure
Quant Q&A

The document explains why VXX’s quoted level need not equal a weighted average of nearby VIX futures, even though its returns are designed to reflect an index based on a rolling futures position. The central distinction is between an investment’s price level…

VolatilityFuturesDerivatives pricingArbitrage
Quant Q&A

The document describes an exploratory intraday strategy that buys near the lower Bollinger Band and sells near the upper band. The author reports testing it on E-mini S&P 500 data from 1999 and observing a stretch of profitability, while also noting that the…

FuturesMean reversionTechnical indicatorsBacktesting
Quant Q&A

The answer explains the wildcard option through the adjustment needed between a Treasury futures position and its associated cash-bond position after the futures settlement price is fixed. It defines the tail as the portion of the basis position associated…

Fixed incomeFuturesOptionsDerivatives pricing
Quant Q&A

The document frames a high-frequency trading problem in Chinese futures: low liquidity and large price fluctuations make order execution difficult, while market data arrives in half-second updates. The author asks how to predict the next tick or improve…

FuturesChina marketsHigh-frequency tradingMarket microstructure
Quant Q&A

The document describes one practitioner’s approach to constructing the very front end of a SOFR discount curve. The suggested inputs are short-dated fixed-for-floating SOFR swaps, swaps dated to upcoming Federal Open Market Committee meetings, and on-the-run…

Fixed incomeFuturesDerivatives pricing
Quant Q&A

The discussion considers how to estimate an OTC call option price when the underlying commodity future trades farther out than listed options. It suggests using a standard option model such as Black-76, with an underlying futures price and an estimate of…

CommoditiesFuturesOptionsVolatility
Quant Q&A

The discussion distinguishes a producer’s physical sales agreement from a futures position used to hedge the price risk of that sale. A producer may have agreed to deliver oil to a particular refinery at the future spot price; a short futures position can…

FuturesCommoditiesRisk managementExecution
Quant Q&A

The response derives how Heston stochastic variance dynamics connect to a variance swap and then to VIX, whose squared level is treated as the expected average variance over a 30-day horizon. Under a chosen volatility-risk-premium assumption, the…

VolatilityDerivatives pricingFuturesStatistics
Quant Q&A

The document describes an asymmetry in commodity futures pricing for storable goods. If a future contract is priced far above spot, an arbitrageur can buy the commodity now, pay financing, storage, and insurance costs, and arrange delivery against the…

FuturesCommoditiesArbitrageCarry
Quant Q&A

The document offers practical advice to a junior analyst who finds the many concepts and terms used on a bond trading desk difficult to follow. It emphasizes that fixed-income work depends not only on academic knowledge but also on market conventions,…

Fixed incomeFutures
Quant Q&A

The document reviews a proposed use of the Parkinson high–low volatility estimator: compare it with a noncentered volatility estimate from open-to-close returns to infer whether price behavior is mean reverting or trending. It recounts Taleb’s stated…

VolatilityTechnical indicatorsStatisticsFutures
Quant Q&A

The document offers possible undergraduate research directions related to the VIX and the newer SPIKES index. Suggestions include examining whether the VIX and its futures serve their intended purpose, what a theoretically sound volatility product might look…

VolatilityOptionsFuturesDerivatives pricing
Quant Q&A

The document asks which observations should anchor a proportional adjustment when building a continuous futures series: the expiring contract’s close and next contract’s close on rollover day, or the expiring contract’s prior-day close and next contract’s…

FuturesBacktestingStatistics
Quant Q&A

The document explains why different metals can have different futures curve shapes, using copper in backwardation and aluminum in contango as examples. It starts from a cost-of-carry relationship involving financing, storage costs, and convenience yield,…

CommoditiesFuturesCarryDerivatives pricing
Quant Q&A

The document asks where to obtain monthly historical data for WTI, gold, and the CRB index. The answer names free data sources and commercial vendors, but emphasizes that a request for a commodity price needs a more precise definition before choosing a…

CommoditiesFuturesStatistics
Quant Q&A

The document explains why futures and forward prices can coincide even though futures settle through daily variation margin while forwards settle at maturity. With known, deterministic interest rates, the daily futures cash flows can be scaled and combined…

FuturesDerivatives pricingArbitrage
Quant Q&A

The document compares the tracking error of an ETF and a futures instrument relative to the same equity index. It measures tracking error as the standard deviation of daily return differences and reports that the ETF’s measured value is larger in the…

EquitiesFuturesStatistics
Quant Q&A

This discussion points readers seeking to understand implied pricing in futures markets toward exchange and trading-platform documentation. The questioner found introductory vanilla examples insufficient and wanted clearer explanations of implied orders and…

FuturesMarket microstructureExecution
Quant Q&A

The document explains how to infer market-implied probabilities of Federal Reserve rate changes from fed funds futures. A basic method converts the futures-implied rate after a meeting into a probability-weighted average of possible outcomes, such as no…

FuturesFixed incomeUS marketsStatistics
Quant Q&A

The document considers what to trade with an imagined near-zero-latency program. It argues that speed within one data center is less decisive than the speed of communication between venues, so faster code alone does not confer a general trading advantage.…

FuturesOptionsArbitrageHigh-frequency trading
Quant Q&A

The discussion questions whether increased short positions in U.S. Treasury futures could explain rising Treasury yields, given that a futures short may ultimately require acquiring the deliverable bond. One response distinguishes a futures position from an…

Fixed incomeFuturesMarket microstructureUS markets
Quant Q&A

The document answers a question about matching a CFTC Commitments of Traders report code to the futures contract it represents. It identifies code 097741 with Japanese yen futures and points to the standard CME 6J contract as the corresponding market…

FuturesForexUS markets