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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

9,660 documents

Quant Q&A

The document asks whether option sellers should prefer very short expirations, where time decay is concentrated, or sell options with more time remaining. It uses an at-the-money straddle example to compare premiums at two expirations and observes that the…

OptionsVolatilityExecution
Quant Q&A

The discussion asks how to classify a bid-ask spread as favorable for scalping or ordinary day trading, especially when comparing low-priced, thinly traded OTC shares with more liquid stocks. It notes that absolute spread size can mislead: a wider spread in…

Market microstructureExecutionVolatilityStatistics
Quant Q&A

The document collects suggestions for real-time market data sources for a US equity strategy that is not high-frequency and already consumes normalized data from major financial vendors. Responses name a range of providers and channels, including CQG, DTN,…

EquitiesUS marketsMarket microstructureExecution
Quant Q&A

The discussion explains how US trade-through protection works across stock exchanges. Under the account given, when a venue receives an order but another exchange displays a better price, the order must be routed to that better-priced venue. A consolidated…

EquitiesArbitrageMarket microstructureExecution
Quant Q&A

The document is a brief directory of services that provide intraday financial data, organized by whether they charge and by the granularity and availability of their feeds. It names sources ranging from minute bars to tick data and distinguishes historical…

EquitiesExecutionMarket microstructure
Quant Q&A

The document discusses automating a momentum strategy that looks for equities reaching a new all-time high while excluding stocks whose high has been renewed on immediately successive days. The question contrasts retrieving and sorting the full price history…

EquitiesMomentumBreakoutExecution
Quant Q&A

The document explains how to request historical data outside regular trading hours through Interactive Brokers’ API using the R IBrokers package. The key setting is the historical-data request’s regular-hours flag: disabling it allows the request to include…

FuturesEquitiesExecutionUS markets
Quant Q&A

The document explains Trade-at-Settlement orders in futures markets. A TAS trade sets the transaction price relative to the eventual futures settlement price, with the chosen offset recorded in the TAS order book. The reply characterizes the trade as an…

FuturesExecutionMarket microstructureMarket making
Quant Q&A

The document addresses whether an overnight index swap’s fair rate and PV01 can be calculated without constructing an OvernightIndexedSwap object in QuantLib. The response cautions that reproducing the calculation from a curve alone is complex and would be…

Fixed incomeDerivatives pricingExecutionRisk management
Quant Q&A

The document considers whether a new market maker can earn a spread in highly liquid ETFs when the best bid and ask are one tick apart and display substantial size. Its central lesson is that liquidity provision earns a premium only when counterparties need…

Market makingMarket microstructureExecution
Quant Q&A

This note asks how to estimate implicit transaction costs for a newly launched portfolio under an approach that uses average bid–ask spreads for reference indexes. The author points out that broad indexes such as the S&P 500 or FTSE 100 are calculated…

ExecutionMarket microstructureEquities
Quant Q&A

The document distinguishes a rough estimate of trade capacity from a precise execution model. Its central answer is that immediate market-order capacity depends on the quantity available on the relevant side of the order book when the order reaches the…

ExecutionMarket microstructurePosition sizingStatistics
Quant Q&A

The document discusses the empirical market-impact relation in which price movement scales with volatility and the square root of trade size relative to market turnover. It presents two explanations: a market-microstructure account based on the shape of the…

Market microstructureExecutionStatistics
Quant Q&A

The document addresses whether separate exchanges can assign the same code to different stocks. It explains that no general rule prevents this, even though exchanges often use distinct naming conventions. A ticker or stock code alone therefore may not…

EquitiesMarket microstructureExecution
Quant Q&A

The document compares Interactive Brokers demo and personal paper-trading accounts for testing Trader Workstation API applications. Demo accounts provide simulated data and can help check connectivity or exercise account types, but the answers describe…

ExecutionMarket microstructureBacktestingFutures
Quant Q&A

The document discusses how OTC FX option quotes are organized around standard expiries and delta-based volatility quotes, while positions can age into non-standard dates. Responses explain that off-grid pricing depends on the client or dealer context, trade…

ForexOptionsVolatilityMarket microstructure
Quant Q&A

The document compares Bloomberg and Reuters as market data sources for a firm considering consolidation of feeds used for derivatives and bonds. It covers pricing, infrastructure, data quality, instrument identifiers, and alternative vendors. The response…

Fixed incomeDerivatives pricingMarket microstructureExecution
Quant Q&A

The document considers whether historical futures data from one crypto exchange can support backtests for a strategy traded on another. The motivating issue is a change in listed contracts that leaves little history for the replacement market, prompting the…

CryptoFuturesBacktestingExecution
Quant Q&A

The document discusses whether brokerages offer web APIs for market data and order entry. It gives examples of a URL-based trading interface and reports that TD Ameritrade provided web APIs requiring an account, while noting that broker access varied. The…

ExecutionMarket microstructure
Quant Q&A

The document discusses how to broaden a mathematical finance reference sheet that is focused mainly on stochastic calculus and derivative pricing. The responses suggest adding topics that serve distinct parts of quantitative finance: risk management,…

Risk managementPortfolio constructionExecutionMarket microstructure
Quant Q&A

The discussion considers how an ETF market maker might earn a spread while hedging exposure with the underlying basket or a related instrument. It distinguishes capturing a favorable price difference from realizing that profit: a hedged position can remain…

EquitiesMarket makingArbitrageExecution
Quant Q&A

The document compares direct exchange connections with a consolidated market data vendor for someone seeking daily data and possibly delayed or real-time tick data. It explains that direct feeds require building and maintaining exchange-specific handlers,…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The document discusses extracting implied volatility from American option prices using a Cox–Ross–Rubinstein binomial tree. The tree prices the option by working backward from terminal payoffs, comparing continuation value with early exercise value at each…

OptionsVolatilityDerivatives pricingExecution