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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

1,116 documents

Quant Q&A

The discussion describes high-frequency trading as activity at the tick level, often using full order-book data. One answer emphasizes market making and exchange rebates as sources of revenue, while noting that gross returns may be very small and that…

High-frequency tradingMarket makingMarket microstructureRisk management
Quant Q&A

The document addresses what the time increment means when a market-making model treats its reference price as an arithmetic Brownian motion. It explains that Brownian motion is self-similar, so the model’s mathematical form can be considered across time…

Market makingHigh-frequency tradingStatisticsRisk management
Quant Q&A

The document summarizes machine learning applications in quantitative finance, focusing on a study that uses recurrent neural networks with LSTM units to predict up or down price moves from high-frequency stock data. It reports that a model trained across a…

Machine learningHigh-frequency tradingEquitiesMarket microstructure
Quant Q&A

The document derives the solution to an intensity process that mean-reverts toward a potentially time-varying baseline and jumps upward when events occur. It uses an integrating factor: multiply the intensity by an exponential in time so the mean-reversion…

StatisticsMarket microstructureHigh-frequency trading
Quant Q&A

The document considers replacing price-time priority in an exchange order book with priority based on price and a per-share fee. One interpretation is that paying a larger fee effectively lets an order improve its price by a very small amount, resembling a…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The document asks whether geometric Brownian motion can represent second-by-second exchange-rate prices. Its main answer is that standard Itô diffusion models miss important high-frequency market features, including volatility clustering, weak return…

ForexMarket microstructureHigh-frequency tradingStatistics
Quant Q&A

The document discusses the economics of spoofing and layering, focusing on whether high-frequency firms face a direct fee for canceling limit orders. The answer describes layering as displaying orders on one side of the book, sometimes paired with orders on…

Market microstructureExecutionHigh-frequency tradingUS markets
Quant Q&A

The document outlines design choices for a low-latency cryptocurrency trading system: busy-spinning, pinning producer and consumer threads to CPU cores, and using lock-free ring buffers to reduce scheduling and communication overhead. The author is…

CryptoHigh-frequency tradingExecutionMarket microstructure
Quant Q&A

The document compares ways to track an order's rank and the volume ahead of or behind it in a limit order book queue. Storing order sizes makes updates constant-time but requires a linear scan to answer position queries. Storing prefix sums reverses that…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The document discusses software choices for an automated hedge-fund trading operation, spanning data handling, analytics, signals, order routing, and risk controls. It describes customized systems as common where funds have specific reporting,…

ExecutionRisk managementHigh-frequency trading
Quant Q&A

The document proposes several event-driven market patterns as possible subjects for trading research: bond activity around month-end, imbalances near the daily close in cash equities, and price behavior around futures expiration or settlement, with VIX…

High-frequency tradingMarket microstructureEvent-drivenFutures
Quant Q&A

The document considers how to estimate the effect of trading latency on a market-making strategy. The questioner proposes treating the maximum spread observed within a time interval as a return proxy and spread variance as a risk proxy. The accepted response…

Market makingExecutionMarket microstructureHigh-frequency trading
Quant Q&A

The document explains why data-center location and network latency matter when a high-frequency strategy sends orders to multiple trading venues. For a single order book, proximity can reduce execution delay. For a cross-venue bid-ask arbitrage, however, the…

High-frequency tradingArbitrageExecutionMarket microstructure
Quant Q&A

The document compares order-by-order market depth with volume aggregated at each price level. Which format is available often depends on the exchange’s data dissemination rules, and venues differ in whether they publish individual orders, aggregated…

Market microstructureExecutionHigh-frequency tradingEquities
Quant Q&A

A flickering order is an order that is repeatedly submitted and cancelled, or rapidly modified. Such activity may occur at or away from the best bid and offer. The document distinguishes this behavior from spoofing, which involves displaying an order without…

Market microstructureExecutionHigh-frequency trading
Quant Q&A

The document examines parameter estimation in a linear supply-curve model of liquidity risk. In the described model, the observed price depends on an unaffected price and traded volume, and the impact coefficient is estimated by regressing log price changes…

Market microstructureExecutionStatisticsHigh-frequency trading
Quant Q&A

The discussion explains that logging adds computational work to QuickFIX and that writing log records to disk can add substantial latency. Disabling file logging may improve performance, but the answers suggest keeping logging while reducing its impact on…

ExecutionHigh-frequency tradingMarket microstructure
Quant Q&A

The document collects recommendations for learning how exchanges, order books, auctions, and execution work. It distinguishes broad practical introductions from books focused on technology and direct market access, quantitative execution and market making,…

Market microstructureExecutionStatisticsHigh-frequency trading
Quant Q&A

The document concerns use of the Hayashi-Yoshida estimator for measuring dependence between asynchronously observed prices, illustrated by the same liquid asset trading on two exchanges. The questioner reports unexpectedly low estimated correlation and a…

StatisticsHigh-frequency tradingMarket microstructure
Quant Q&A

The document describes how to recover the best bid and ask from NASDAQ TotalView-ITCH order data. The core method is to process the feed sequentially and maintain an order book: messages add orders, modify or cancel them, or report other activity. Once the…

EquitiesMarket microstructureHigh-frequency tradingExecution
Quant Q&A

The document discusses a compact relational schema for subsecond order book data. Rather than creating a separate table for each capture time, it proposes storing observations in one table with timestamp, price, size, depth level, and side fields. This lets…

Market microstructureHigh-frequency tradingExecution
Quant Q&A

The document distinguishes a limit order book from a general order book and explains the main steps involved in reconstructing one from Nasdaq ITCH data. A limit order book aggregates resting buy and sell interest by price, so building it from raw feed data…

Market microstructureHigh-frequency tradingExecution
Quant Q&A

The document asks whether research groups or commercial resources benchmark automated trading products for alpha generation and execution, including systems operating at very short time scales. Responses recall vendors associated with trading-system…

ExecutionHigh-frequency tradingMarket microstructure
Quant Q&A

The document examines complexity claims for limit order book implementations built from balanced trees. A conventional search in a balanced tree takes logarithmic time, but the answers explain that practical designs commonly combine separate price-level…

Market microstructureExecutionHigh-frequency trading