sr_project

Shonket's project

Setup

This project uses uv for fast Python package management.

Prerequisites

• Python 3.11 or higher
• uv installed

Installation

1. Install uv (if not already installed):

   pip install uv

2. Create and activate the virtual environment:

   uv venv
   .venv\Scripts\activate

3. Install dependencies:

   uv sync

Adding Dependencies

To add a new package:

uv add <package-name>

To add a development dependency:

uv add --dev <package-name>

Running Scripts

Run Python scripts normally:

python fibonacci.py
python test_numpy_pandas.py

Project Structure

• fibonacci.py - Fibonacci number implementation
• test_numpy_pandas.py - Test script for NumPy and Pandas
• pyproject.toml - Project configuration and dependencies
• dfs_lineup_optimizer/ - DraftKings DFS lineup prediction and tracking system (see full README)
• stock_target_tracker/ - Stock analyst target-price tracker: multi-source fetch (Yahoo, FMP, oanor, MarketBeat), SQLite storage, and 30/90/180/365-day accuracy tracking. Live (sample) report: https://sray1.github.io/sr_project/ (see full README)
• horse_race_predictor/ - Horse racing consensus predictor (manual-input expert-pick aggregation for a today's race) + automated backtest pipeline that scores naive baselines (MLO favorite, post position, leading jockey/trainer, random, consensus) against HRN results across a date window and emits an HTML accuracy/ROI report (see full README)