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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 is a request for learning resources on TIMS and SPAN, methodologies used to calculate margin. The response points out that margin is not a single uniform topic and asks the learner to distinguish between margin for centrally cleared products and…

Risk managementDerivatives pricingFutures
Quant Q&A

The document discusses how to model an average-price option on Dated Brent futures. Its payoff depends on the average price of nearby futures over an averaging period, which can involve more than one futures maturity. The questioner considers applying the…

CommoditiesFuturesOptionsDerivatives pricing
Quant Q&A

The document compares contracts for difference (CFDs) with single stock futures (SSFs). It notes that both account for interest and are settled daily, so their economics can appear similar at first glance. The central distinction is market structure: CFDs…

EquitiesFuturesDerivatives pricing
Quant Q&A

The document reconciles two statements about stock forwards: the no-arbitrage forward price for a non-dividend-paying stock is determined by spot and financing, while an economic pricing relation can express it using the expected future stock price and a…

EquitiesFuturesDerivatives pricing
Quant Q&A

The document asks why an over-the-counter option can be harder to hedge when its expiry does not align with a major listed contract’s expiry, even if both options reference the same underlying futures contract. The example contrasts an OTC gold option…

OptionsFuturesExecutionRisk management
Quant Q&A

The document considers whether a reasonably sized hedge fund commonly splits a strategy across brokers to reduce the risk that one broker becomes unavailable. The accepted answer says firms often use several brokers because each serves a different…

Risk managementExecutionFutures
Quant Q&A

The document explores how to define an index trend and why simple indicator crossings can give misleading signals. It contrasts a basic comparison of current and reference closes with stochastic %K/%D and MACD line/signal relationships, noting that a short…

Technical indicatorsTrend followingFuturesStatistics
Quant Q&A

The answer explains why weather derivatives can have many risk-neutral probability measures when the underlying temperature is not tradable. Without a tradable underlying, the contracts cannot be replicated or hedged using temperature itself, so the market…

Derivatives pricingFuturesCommoditiesRisk management
Quant Q&A

The document asks how to give three-month SOFR futures precedence over one-month futures when bootstrapping a term curve alongside SOFR swaps. It describes a practical selection rule: inspect the existing rate helpers for a matching pillar date before adding…

Fixed incomeFuturesUS markets
Quant Q&A

The document discusses how to assess fair value estimates for non-US equity index futures before expiry, where the estimate depends on financing costs and expected dividends. It notes that closed foreign-exchange markets can complicate the interest-rate…

FuturesEquitiesCarryDerivatives pricing
Quant Q&A

The note shows how to infer a market-implied probability of a Federal Reserve rate hike from a monthly fed funds futures settlement. Because the contract settles against the average effective federal funds rate across the month, its price reflects both the…

FuturesFixed incomeStatisticsUS markets
Quant Q&A

The document discusses whether futures rolls can distort short-end yield curves built from nearby interest rate futures. A roll may create short-lived imbalances that affect observed futures prices and, in turn, the rates inferred from them. The answer…

FuturesFixed incomeMarket microstructure
Quant Q&A

The document addresses how to calculate returns for an active interest rate futures contract when the underlying contract changes at expiry. It recommends constructing a synthetic adjusted price history, commonly by shifting older contract prices so they…

FuturesFixed incomeBacktestingRisk management
Quant Q&A

This discussion considers how a retail investor might gain exposure to a future twelve-month LIBOR fixing to hedge a liability tied to rising rates. The direct instrument identified is a forward rate agreement, but the answer says retail access and liquidity…

Fixed incomeFuturesRisk management
Quant Q&A

The document addresses why explanations of futures notional value may multiply contract size by either the futures price or the spot price. The response argues that futures contract size and notional conventions are not universal measures of comparable…

FuturesRisk managementPortfolio construction
Quant Q&A

The document discusses the difficulty of finding a vendor that streams delayed order-book data, including market depth and order-by-order feeds, for selected futures contracts. The replies emphasize that exchange data rights govern redistribution: a firm…

FuturesMarket microstructureExecution
Quant Q&A

The question concerns implied volatility for options on eurodollar and other short-term interest rate futures. The accepted response explains that these contracts are quoted as prices tied inversely to interest rates, so the futures price and strike can be…

OptionsFuturesVolatilityDerivatives pricing
Quant Q&A

The document surveys quantitative and systematic approaches reported to have performed well during the 2008 crisis. It identifies managed futures, especially trend following in futures markets, as a major systematic category that did well. It also discusses…

FuturesTrend followingEquitiesHigh-frequency trading
Quant Q&A

The document distinguishes futures open interest from the physical production of a commodity. Open interest counts outstanding contracts, with a long and a short side for each contract; it does not represent a quantity of grain that buyers can collectively…

FuturesCommoditiesMarket microstructure
Quant Q&A

The document asks how to size 10-year Treasury micro futures against a full-sized 10-year note futures contract when adjusting exposure for volatility. It reports an estimated volatility ratio of 5.125 between the micro and full-sized contracts and seeks the…

FuturesFixed incomeVolatilityPosition sizing
Quant Q&A

The answers explain why trade prices and volumes can appear when displayed ask quotes are absent or zero, and why a reported bid can sometimes exceed the ask. Trades may result from immediately executable orders that never rest in the visible book, while…

Market microstructureExecutionEquitiesFutures
Quant Q&A

The document raises a practical implementation problem for a mean reversion strategy on multiple cointegrated assets. The cited model estimates an optimal inventory from regression estimates and their derivatives, but its output consists of fractional asset…

FuturesHigh-frequency tradingMean reversionPairs trading
Quant Q&A

The document examines how to adjust a minimum-variance cross-hedge when futures are marked to market daily. It contrasts the hedge ratio based on correlations and standard deviations of price changes with the contract count based on position values. The…

FuturesRisk managementPosition sizingStatistics
Quant Q&A

This discussion considers how to summarize yield for a portfolio containing US government bonds and Treasury futures. One proposed approach is to compute a market-value-weighted average of the bonds’ yields to maturity. The replies distinguish the role of…

Fixed incomeFuturesPortfolio constructionRisk management