Skip to content

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

9,660 documents

Quant Q&A

The document interprets ATOP in a strategy presentation as a likely abbreviation for annual portfolio turnover, expressed as a percentage of portfolio value. It describes a common calculation: compare total purchases with total sales over a year, use the…

ExecutionRisk managementPortfolio construction
Quant Q&A

The document considers how to assess bid, ask, and volume data from two vendors when observations do not share exact timestamps. The questioner samples prices at regular time intervals, finds that plots look similar, but sees weak cross-correlation after…

Market microstructureStatisticsBacktestingExecution
Quant Q&A

The discussion examines how adjusted and unadjusted stock prices affect backtests, especially cointegrated pairs trading. Adjusted prices can remove artificial jumps from splits and dividends, which helps when measuring returns or momentum. But later…

EquitiesPairs tradingBacktestingExecution
Quant Q&A

The exchange explains what trade, quote, and order book feeds reveal about order types. Public feeds generally do not label market orders or iceberg orders. Matching trades with identical timestamps may help approximate market order activity, but it can…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The document discusses whether QuickFIX is fast enough for an order management system and argues that the answer depends on measured requirements and the full processing architecture. A slow component elsewhere, including network communication, can dominate…

ExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The document clarifies terminology for a trading account’s position at the end of a session. It treats overnight inventory, end-of-day holdings, and the end-of-day net position as referring to the inventory remaining at market close and carried into the…

Market microstructureExecutionPosition sizing
Quant Q&A

The document compares ways to calculate a bond’s yield to maturity from price when repeated updates make speed important. One approach computes yields for three selected prices, fits a quadratic price–yield relationship, and uses it to estimate yields for…

Fixed incomeDerivatives pricingExecutionHigh-frequency trading
Quant Q&A

The document discusses a market maker who is assigned an in-the-money American call after the underlying market closes, creating stock delivery and delta exposure by the next open. Because the underlying cannot be traded during that interval, the direct…

OptionsMarket makingRisk managementExecution
Quant Q&A

The document illustrates how a company with dollars can use an FX swap when it needs francs to settle a bond purchase and later expects to receive foreign-currency proceeds. In the example, the company exchanges dollars for francs for near-term settlement,…

ForexFixed incomeCarryExecution
Quant Q&A

The document considers how to automate a spread strategy when the charting platform does not execute the user’s full rules automatically. The example strategy buys one instrument and sells another when their spread falls below a lower Bollinger Band, then…

ExecutionPairs tradingTechnical indicators
Quant Q&A

The document asks how to model the relationship between signed trading volume and price changes, using a simplified Kyle-style expression in which price impact is proportional to signed volume. It also asks whether least squares is appropriate for estimating…

Market microstructureExecutionStatistics
Quant Q&A

The document explains how an investor can sell shares they do not own by borrowing them, selling them, then buying shares later to return to the lender. A custodian may locate shares from a long holder and arrange the loan, while passing along fees,…

EquitiesFuturesFixed incomeExecution
Quant Q&A

The document describes the Quote Instability Factor used by IEX’s Crumbling Quote Indicator, which informs the D-Limit order type. It presents the factor as a logistic transformation of a weighted combination of hard-coded variables. Those inputs describe…

EquitiesMarket microstructureExecutionMachine learning
Quant Q&A

Time-and-sales feeds report executed trades, not necessarily the original orders that produced them. Large prints can therefore appear even when an institution worked a larger order in smaller pieces. One common source is a block matched off exchange through…

EquitiesExecutionMarket microstructureUS markets
Quant Q&A

The discussion explains that equity prices can move outside regular trading hours, so the next session’s opening price is not independent of overnight activity. It cites research describing investor preferences for trading near the open versus during the…

EquitiesFuturesMarket microstructureExecution
Quant Q&A

The discussion models exchange round-trip latency as the sum of network transit time and matching-engine message-processing time. For venues in separate data centers, network distance and routing usually dominate: fiber routes are indirect, switches and…

EquitiesExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The discussion diagnoses an implausibly large cumulative return in a simple moving-average crossover backtest. The strategy uses closing prices and a 10-day simple moving average to set a long or short position, then applies that position to daily asset…

BacktestingTechnical indicatorsTrend followingExecution
Quant Q&A

The document explains how trading in over-the-counter fixed income markets differs from trading listed equities. Rather than relying on one central exchange order book, dealers may maintain their own bond inventories and pricing books, especially for…

Fixed incomeMarket makingExecutionMarket microstructure
Quant Q&A

The document examines definitions of a market-making strategy in a supervised-learning context. The cited definitions describe a strategy as a time-dependent vector of quotes selected using a prediction, and a market-making strategy as paired bid and ask…

Market makingHigh-frequency tradingExecutionMarket microstructure
Quant Q&A

The discussion surveys ways to store and query large financial time series without relying on kdb+. Options include memory-mapped binary files, Python with Pandas and PyTables, columnar databases such as Vertica and MonetDB, time-series databases, and newer…

Market microstructureBacktestingExecution
Quant Q&A

The document presents an interview scenario in which an exchange OTC desk must handle a corporate request to trade a very large quantity of bitcoin within a narrow band around the mid-market price. The requested size is several times the exchange’s stated…

CryptoExecutionMarket microstructureRisk management
Quant Q&A

The document discusses how to obtain a decade of hourly or finer historical data for one stock without paying for exchange-wide coverage. It distinguishes hourly bars from tick data and lists several possible sources: free API access through Quandl or Alpha…

EquitiesUS marketsExecution
Quant Q&A

The document asks how the U.S. Quote Rule and Limit Order Display Rule apply to broker-dealers that serve both as agents for clients and as dealers. The underlying concern is a potential conflict: a firm might favor its own trading interest over a customer’s…

Market microstructureExecutionUS markets
Quant Q&A

The discussion outlines factors for selecting an execution management system and aggregating fragmented FX liquidity. It compares ECNs and bank channels in terms of currency-pair strengths, liquidity, fees, technology, and available execution algorithms. It…

ForexExecutionMarket microstructure