Building Oddpool.com | Data Layer for Prediction Markets

Avi Arora • Peerlist

Whale Tracking for Prediction Markets offers a unique insight into the world of prediction markets by tracking large whale trades across Kalshi and Polymarket in real-time. This tool is designed to monitor the flow of smart money and significant bets on various events such as sports, politics, economics, and crypto. By filtering out the noise of retail traders, it highlights where the smart money is moving, allowing users to see large stakes as they occur.Key Features:<ul><li>Real-time tracking of large trades on Kalshi and Polymarket.</li><li>Ability to build a personal whale feed to monitor specific events.</li><li>Insights into market sentiment and smart money consensus.</li><li>Opportunities to spot early signs before odds shift dramatically.</li><li>Understanding of market sentiment beyond probability percentages.</li></ul>Oddpool's Whale Tracking is not just about mimicking trades but understanding what the smart money knows that others don't. It provides context and signals that complement traders' own market understanding, offering a strategic edge in prediction markets.

Whale Tracking for Prediction Markets

Prediction Market Dominance Index offers a comprehensive analysis of market activity between Kalshi and Polymarket, two leading prediction market venues. This tool provides a real-time comparison of market dynamics, focusing on key metrics such as 24-hour volume share, liquidity share, and liquidity turnover. The index is a composite score that reflects where traders are most active, combining these metrics to give a clear picture of market dominance.<h3>Key Features</h3><ul><li>24h Volume Share: Measures the trading activity over the past 24 hours, providing insights into recent market movements.</li><li>Liquidity Share: Evaluates the depth of the order book, indicating the ability to execute large trades with minimal slippage.</li><li>Turnover Share: Analyzes the turnover ratio, highlighting how actively capital is being deployed across venues.</li></ul>The Dominance Index is calculated using a weighted formula, emphasizing the importance of recent activity as a strong signal of market trends. This tool is essential for traders and analysts looking to understand the competitive landscape of prediction markets, offering a detailed snapshot of market conditions and historical trends.

Oddpool - Prediction Market Dominance Index

Oddpool is the all-in-one analytics platform for prediction markets, aggregating live data across venues like Polymarket and Kalshi to reveal real-time odds, market spreads, arbitrage opportunities, and actionable insights. Traders and analysts use Oddpool’s interactive dashboards to compare markets side-by-side, track volatility, and understand how consensus shifts across events. Oddpool brings structure, clarity, and speed to an ecosystem of fragmented prediction markets.

Oddpool

Hand isolation, Finger counting, and finger point tracking in Python with OpenCV Using histogram backprojection to isolate a users hand in the frame, followed by simple background subtraction, a mask is created where white implies a pixel that belongs to the hand and black implies a pixel that belongs to the background. Convexity defects between the hand contour and convex hull are used to identify the points between fingers and subsequently to calculate the number of fingers in the frame. When a single finger is showing, the highest point is assumed to be the fingertip and the user can draw gestures onto the frame.

Air Canvas

Created / continue to create multiple scripts for the automatic generation of images to be used on social media. Utilized Pillow to scale, crop, and standardize input images, then burn text and water marks from an input CSV. Utilized Photoshop automation to mass produce dynamic creatives in a fraction of the time.

Automatic Image Generation

Wrote a python script that automates the process of applying captions to a video with a voiceover in the background. Wrote algorithm to chunk an input script into reasonable tokens, taking into consideration that often times we want to display entire sentences, entire quotes with their attributions, and many other specific requirements. Utilized aeneas to generate map from tokens to time in video that the token is spoken. Used moviepy to burn text into input video, with flexibility for font family, size, color, positioning, and transitions

Automatic Video Caption Generation

During Fall 2019, my CS2340 class canvas page was sending me more than 10 emails a day, all related to the creation and deletion of appointments for TA office hours. Wrote a web crawler in Selenium to automate the process of selecting any emails of this nature and eradicating them from my inbox.

CS2340 Email Eradicator

Designed and published iOS app to scan printed urls directly onto mobile device Utilized optical character recognition with Google Cloud Vision API to recognize urls in real time

LinkSync

Garnered support from 60+ students on petition requesting improvements to scheduling app Developed functionality of a new scheduling app in Swift with full support from administration Focused on clear and intuitive design with emphasis on making key daily information visible

PowerScheduler

Smooth.io is an add-on module that creates a smart blender experience to your existing smoothie making machine! Place your blender cup on the scale and tell Alexa you are ready to make a smoothie. This will prompt Alexa to ask what your first ingredient is. Tell her your first ingredient (ex. "Bananas") and add your desired amount into the cup. The scale will measure the mass of of the ingredient and sends it to the iOS app for nutritional analysis. Visualize the contents, nutritional breakdown, and ratios of your ingredients in real time as you add them to the smoothie, and when your finished save your recipe to your profile. Share it on Facebook to show to your friends and family just how healthy you really are!