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Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for contractor experienced in matlab, python and some signal processing to convert the RASTA-PLP Matlab feature extraction algorithm to Python. ... Looking for contractor experienced in matlab, python and some signal processing to convert the RASTA-PLP Matlab feature extraction algorithm to Python. Matlab code is listed below and can point you to a number of relevant libraries in Python that will make this go much quicker. ... Successful completion will involve delivering a python script that produces identical output to the original matlab code - please demonstrate that you have tested this in either Matlab or Octave. The script is here:, but requires the conversion of a number of other scripts to complete.
Skills: MATLAB Digital Signal Processing Python
Hourly - Expert ($$$) - Est. Time: More than 6 months, 30+ hrs/week - Posted
Primarily we rely on a fully-automated Java platform built in-house. Most of our research is done in Matlab or Python and then ported to Java when used for live trading. ... We are seeking someone with a strong experience with markets and trading strategies, statistics, as well as strong experience using Matlab or Python (and ideally some comfort with Java code) to join us.
Skills: MATLAB Data Analytics Java
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
We run a small business in High Frequency Forex trading. Our trading entries and exits are in the millisecond range. We are seeking a data scientist/statistician to assist us to find certain patterns in bid/ask prices, which will assist us with predictions, based on statistical probabilities, for our trades. We will be using EUR/USD raw tick data for this experiment. Essentially, the problem is this: At certain times of the day, the difference between the bid price and the ask price (i.e. the spread), drops to zero or even goes negative. In some cases, the bid jumps up (or beyond) the ask, and at other times, the ask drops to (or below) the bid, (based on where the bid and ask was just prior to the zero spread event). Or the bid and ask may meet in the middle. We believe a zero spread (or negative spread) event marks some significance for market movement, i.e. up or down as there must be some price action causing major movement. The question is which way and how far does the price move and is there a pattern? Alternatively, a zero spread or negative spread event could just be market in-efficiencies in which case there may be no pattern at all. Our current theorem is that when a bid jumps up to the ask, (or above), that signals a large buying group moving the market up. We want to capture that movement with a quick scalping trade. But how far does it move and how long does it take? Similarly, if ask drops to or below the bid, we believe there is large selling pressure which would continue downward movement where we could short the market. We have certain questions the data scientist needs to answer to prove or disprove our theorem using the raw tick data provided. When a zero spread (or negative spread) event occurs, what price level does this occur in relation to the bid/ask just prior to that event? The definition of the "prior event" are the bid/ask figures which are 10ms, 50ms, 100ms, 500ms prior to the zero spread event. Please provide graphs/distribution curves. What happens after the zero spread event 50ms, 100ms, 500ms, 1 sec, and 2 sec after? Where is the bid/ask price at those periods? Is there a statistical correlation between where the bid/ask price was before the zero spread event, then the location of the zero spread event, and then bid/ask price after? For negative spreads, is there a correlation between the size of a negative spread and the subsequent price movement after the negative spread event. i.e. does a larger negative spread correlate to a larger price movement and in which direction? Are there any other machine learning techniques, neural networks, performance modelling or simulations you would suggest for our problem?
Skills: MATLAB Data Analytics Data Modeling Data Science
Hourly - Expert ($$$) - Est. Time: More than 6 months, 30+ hrs/week - Posted
Are you a MA or PHD Civil Engineer graduate? Do you enjoy academics? Do you enjoy research and writing? Would you like to earn an extra income, in addition to that of your main job? Would you like to enhance your knowledge on a wide range of subject areas through research and writing? If your answers are YES to all of these questions, then we would like to hear from you. We are seeking people who are serious, committed and hardworking, to write for us. If you are that person, please respond by sending an email. We will reply to your email as soon as possible
Skills: MATLAB Civil Engineering Engineering drawing IBM SPSS