Trevor Martin

Pitting NFL Markets Against Themselves

Using NFL moneyline markets to simulate the season and compare the results to futures markets.

Fantasy Football Newsletter

Example of my weekly newsletter I send out to my fantasy football league mates.

Fantasy Football Wrapped

Like Spotify Wrapped but for each team in my fantasy football league.

After publishing a weekly newsletter for the majority of the season, I thought it was only appropriate to end the season with a Spotify Wrapped style presentation for each team. Here is the wrapped for the last place team in our league, Miles away from a Championship. This was completed using RMarkdown to generate all 12 presentations in one go. Sadly this doesn't work well on mobile.

Technical Analysis Pattern Recognition Using Convolutional Neural Networks

An independent study project I completed at RIT

Technical analysis is a method of using candlestick chart patterns to attempt to predict the price movement of a tradable asset, such as a stock or cryptocurrency. Many traders identify patterns manually due to the subjective nature of technical analysis. Using convolutional neural networks, the manual subjective pattern recognition process can be simulated and would be more generalized than hard coded or mathematical methods. The developed model identifies patterns with a 66% accuracy when compared to the hard-coded method. While this accuracy is not high enough to measure the level of generalization, this model could be used as a stock screener using automated pattern recognition.

This project was a great learning experience and gave me further exposure to neural networks. My full findings can be found in this paper. This paper earned the 2nd place prize at the 2022 IISE Northeast Regional Conference.

RIT Energy Forecasting

Forecasting RIT's Energy Usage Using Neural Networks

RIT consumes a large amount of energy and wants to reduce the peaks of this consumption to reduce cost. Using neural networks, this consumption was modeled and forecasted to attempt to predict these peaks. Different neural network models were evaluated, and the best one was recommended for use by RIT.

The first part of this project was data cleaning, and that was summarized in this poster.

This presentation gets into the weeds of this project in terms of model evaluation.

This paper is the final result of this semester long project completed for a graduate course at RIT.

Wordle Difficulty Analysis

A small project analyzing the difficulty of Wordle games.

This project was for a course I took at RIT to learn more R. This project required the use of data from Twitter, and took place right after the initial Wordle craze. Using Wordle results from Twitter users, I analyzed the difficulty of Wordle games over the course of one week. I mention in the discussion that it would've been great to have more historical data but I was limited by the API. I also mention the role of survivorship bias, as individual players are probably less likely to tweet out their poorer scores. This project was also completed using RMarkdown.

NBA Salary Prediction

Another small project attempting to predict NBA player salaries based on a few variables.

This project was also for a course I took at RIT to learn more R. For this project we were given a choice from a variety of datasets provided to us. I saw there was an NBA dataset and jumped at the opportunity, even if it was outdated. This was my first real project in R, and I hope to dig into current NBA data in my free time in the future.

Fat Foot Feetball

A hackathon project from pre-pandemic that was my first real experience in a coding environment.

Fat Foot Feetball was (in my humble opinion) the fantastic result of 24 straight hours of work from a team of 6 people. It is a 2D soccer game inspired by a flash game my friends and I played all the time in high school. It allows two friends to go head to head in a first-to-seven soccer match, and was built on Unity using a 2D game template. This crazy project somehow ended up winning the Grand Prize at Hack Upstate XIV. You will be able to see why none of us continued with game development, but may have some fun with the broken physics in the game. My favorite broken thing is if you get both characters together pushing towards the ball and one character jumps you can fly. The game also features Nic Cage, which we think pushed us over the edge for the grand prize.