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.
1,116 documents
The document compares using an existing FIX engine directly with adopting a commercial API to connect to CME futures markets. Its central operational point is that pre-certification of an engine does not remove the exchange certification work required of the…
The document considers how to obtain transaction records for research into high-frequency trading’s effects on individual firms. It points to commercial data providers as a source of tick-level transactions for selected securities and exchanges, with…
The document asks whether market data engines should run on soft real-time, hard real-time, or general-purpose Linux kernels, with responsiveness and throughput presented as competing concerns. The answer says there is no recommended hardware or operating…
The document describes a research problem involving hundreds of trading days of equity order-event records, with each day containing tens of millions of rows. The events include placements, cancellations, and trades, so the researcher must reconstruct the…
The document gives examples of how exchange mechanics and infrastructure can affect strategy signals, order placement, and execution. A private order acknowledgement may arrive before the corresponding event appears on public market data, letting a…
The discussion describes q/KDB as a column-oriented database designed for time-series workloads, making it a possible fit for storing and querying high-frequency trading data. It distinguishes those data-handling strengths from statistical analysis: the…
The document asks how to interpret the maximum inventory parameter in the infinite-horizon Avellaneda–Stoikov market-making model. The response describes it as a chosen cap on inventory, intended to limit how large a position the market maker can accumulate,…
The document explores how to represent bids and asks in a limit order book when orders are added, removed, and updated frequently. It contrasts arrays, which support efficient indexed access, with singly linked lists, which can make insertion or removal at…
The discussion outlines how to investigate a black-box market-making algorithm when its orders and public market inputs are observable. It recommends starting with candidate variables from inventory-based quoting models, then examining the algo’s quote…
This answer describes a practical way to estimate the order-arrival parameter used in the Guéant-Lehalle-Tapia market-making model. For each quote distance from a chosen reference price, label trades according to whether their prices cross the corresponding…
The document discusses how quickly high-frequency market makers may replace quotes after those quotes are executed, whether venues impose a waiting period, and how the response can differ between small required quotes and larger executions. It describes…
The document asks how to adapt a noisy high-frequency price-direction labeling method to trading at a more ordinary frequency. The cited method uses the stock’s bid-ask midpoint and compares averages over nearby time windows, assigning upward, downward, or…
The document considers whether MATLAB-generated code can meet live trading speed requirements. Its central guidance is that suitability depends on the strategy’s trading frequency, holding period, model complexity, and surrounding system. The responses cite…
The document explores whether Hidden Markov Models might identify useful market regimes more effectively in relatively high-frequency data than in daily or weekly returns. The author reasons that denser observations could make it easier to distinguish groups…
The document explains why order-book depth close to the mid-price can matter to intraday and high-frequency strategies with small per-trade targets. It focuses on the amount of resting liquidity within five basis points of mid, arguing that thin near-price…
The article introduces MegaETH as an Ethereum Layer 2 focused on low-latency execution and real-time applications. It reports block times as low as 10 milliseconds and describes multi-threaded execution, asynchronous scheduling, and stateless validation as…
The document outlines Sei as a Layer-1 blockchain aimed at DeFi and latency-sensitive applications. It attributes its performance to Twin-Turbo Consensus, optimistic parallelization, and a purpose-built database, and gives claimed throughput and finality…
The document explains two proposed Solana performance changes. SIMD-0370 would replace fixed compute-unit block limits with dynamic block sizing tied to validator hardware capacity, potentially allowing network capacity to adjust to demand. Alpenglow is…
The document introduces Sui as a Layer-1 blockchain designed for throughput and scalability. Its core technical explanation centers on an object-based data model and parallel transaction execution: independent operations can be processed simultaneously,…
The document reviews BitMEX’s focus on crypto derivatives, including Bitcoin-denominated products and perpetual swaps, and describes its move toward institutional services. It highlights a reported data center relocation to Tokyo as an effort to reduce…
The document explains Pyth Network’s oracle model, in which data consumers request price updates from first-party publishers. It presents this pull design as a way to limit update costs while serving applications that need timely data across crypto,…
The document describes Alpenglow, a proposed Solana consensus upgrade intended to replace Proof-of-History and Tower BFT with a proof-of-stake approach. It introduces Votor for block voting and finalization, with one or two voting rounds depending on…
The document introduces Airbender as a RISC-V-based zero-knowledge virtual machine associated with zkSync. It describes claims about proving Ethereum blocks, lower transaction proof times, and reduced proving costs, as well as integration through the Atlas…
The article explains HYPE’s roles as a HyperEVM gas token and a governance asset, then describes Hyperliquid’s trading infrastructure, including on-chain perpetual futures, spot order books, and fast block times. It also outlines institutional interest,…