Philip Genetic Programming In Statistical Arbitrage
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This document discusses using genetic programming to develop automated trading strategies by evolving buy and sell rules for stocks. It introduces genetic programming and how it has been applied to financial forecasting problems. The framework uses genetic programming to evolve trading rules based on hourly price and volume data for banking stocks. The results show it is possible to discover profitable arbitrage trading strategies in this domain, and that co-evolving separate buy and sell rules outperforms evolving a single ruleset. Transaction costs are also an important factor to consider for optimal performance.
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The document outlines an agenda for a one-day course on the FIX Protocol, covering an introduction to FIX including its history, components, and sample message flow, how FIX is used for electronic equity trading through order types and trading scenarios, and technical implementation considerations for FIX integration. FIX Protocol is an open, electronic messaging standard used widely in the financial industry for exchanging trading-related information.
Wavelet Multi-resolution Analysis of High Frequency FX Rates
This document summarizes a research paper on using wavelet multi-resolution analysis to analyze high frequency foreign exchange (FX) rate data. It describes decomposing time series data into trends, seasonal patterns, cycles and irregular components. It then discusses using discrete wavelet transforms to analyze financial time series, extracting features at different time scales. Finally, it presents an algorithm for summarizing and predicting FX rates based on extracted trends and cycles, and evaluates the approach on intraday exchange rate data.
Multirate
This document summarizes basic rate-changing components in multirate digital signal processing. It describes upsamplers and downsamplers, which increase or decrease the sampling rate by an integer factor. It also discusses the time-domain and frequency-domain models of upsamplers and downsamplers, and how they respectively introduce zero samples or skip samples while changing the sampling rate and bandwidth.
Wavelet
The document introduces the limitations of Fourier transforms for analyzing non-stationary signals and discusses how wavelet transforms provide a solution. Fourier transforms can only provide frequency content over the entire signal duration and cannot localize this content in time. Wavelet transforms overcome this by analyzing the signal with translated and scaled versions of an analyzing wavelet, allowing time-frequency localization. This provides a time-frequency representation of non-stationary signals and indicates when different frequency components occur.
Spline Interpolation
Spline interpolation is a technique for generating new data points within the range of a discrete set of known data points. It uses piecewise polynomials, typically cubic polynomials, to fit curves to these data points. The document discusses linear and quadratic spline interpolation and provides an example of using quadratic splines to interpolate the velocity of a rocket at different times and calculate the velocity, distance, and acceleration at t=16 seconds.
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Cgo2007 P3 3 Birkbeck
The document presents an approach to vectorizing Matlab source code while preserving correctness and improving efficiency. It describes representing variable dimensionalities, rules for determining when vectorization is valid, and techniques like transpose transformations and additive reduction to enable more vectorizations. Evaluation on image processing and linear algebra examples showed speedups of 1.56x to 4.6x from vectorizing loop-based code.
A Dimension Abstraction Approach to Vectorization in Matlab
The document presents an approach to vectorizing Matlab source code while preserving correctness and improving efficiency. It describes representing variable dimensionalities, rules for determining when vectorization is valid, and techniques like transpose transformations and additive reduction to enable more vectorizations. Evaluation on image processing and linear algebra examples showed speedups of 1.56x to 4.6x from vectorizing loop-based code.
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Wavelet Multi-resolution Analysis of High Frequency FX Rates
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Paper Link: https://eprint.iacr.org/2024/257
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