📊 U.S. Futures Market Dashboard – Powered by Python & Data Science 🧮
🔔 I’ve been working on a set of dynamic dashboards to track key U.S. futures markets using Python. Covering a broad spectrum of asset classes, from Equities and Treasuries to Commodities and Agricultural Futures, these dashboards offer a real-time view of market movements.
💡 Key Highlights: • 📈 Equity Futures: S&P 500, Dow Jones, Nasdaq 100, Russell 2000, and MidCap 400 • 💵 Treasury Futures: From Fed Funds to 30-Year Bonds and SOFR • ⚡ Energy Futures: Crude Oil (WTI & Brent), Natural Gas, Heating Oil, RBOB Gasoline • 💎 Metals: Gold, Silver, Platinum, Palladium, Copper, and Aluminum • 🌾 Agriculture: Corn, Wheat, Soybeans, Sugar, Coffee, Cocoa, Cotton, Orange Juice, and Lumber
🚀 This dashboard empowers traders, investors, and analysts to make data-driven decisions by visualizing key futures contracts.
🎨 Tools Used: • Python 🐍 • Matplotlib 📊 • Yahoo Finance API 📡
✨ Feel free to connect if you’re interested in discussing market trends, quantitative finance, or data visualization.
💬 How do you track futures markets? Would love to hear your strategies in the comments!
#Finance #DataScience #QuantitativeFinance #Futures #Investing #Python #DataVisualization #EquityMarkets #Commodities #Trading
📊 Cross-Asset Futures Dashboard – README
📁 Project Overview:
This project is a Cross-Asset Futures Dashboard that tracks a wide range of futures markets across major asset classes using Python and the Yahoo Finance API. The goal is to provide a dynamic, real-time view of market movements for equities, rates, energy, agriculture, metals, and currencies, all visualized through minimalist sparkline charts.
⚡ Key Features:
Real-time data visualization for Equities, Fixed Income, Commodities, Agriculture, Metals, and Currencies
Compact Sparkline Plots for quick market trend analysis
Color-coded charts indicating market movements (Green: Up, Red: Down, White: Neutral)
Built using Python, leveraging Matplotlib and Yahoo Finance API
🌐 Asset Classes Tracked:
📈 Equities:
S&P 500 Futures (ES=F)
Dow Jones Futures (YM=F)
Nasdaq 100 Futures (NQ=F)
Russell 2000 Futures (RTY=F)
S&P MidCap 400 Futures (EMD=F)
💵 Rates & Fixed Income:
Fed Funds Futures (ZQ=F)
3-Month SOFR Futures (SR3=F)
2-Year Treasury Note Futures (ZT=F)
5-Year Treasury Note Futures (ZF=F)
10-Year Treasury Note Futures (ZN=F)
30-Year Treasury Bond Futures (ZB=F)
Ultra Bond Futures (UB=F)
⚡ Energy:
Crude Oil (WTI) (CL=F)
Brent Crude Oil (BZ=F)
Natural Gas (NG=F)
Heating Oil (HO=F)
RBOB Gasoline (RB=F)
🌾 Agriculture:
Corn (ZC=F)
Wheat (ZW=F)
Soybeans (ZS=F)
Soybean Oil (ZL=F)
Sugar (SB=F)
Coffee (KC=F)
Cocoa (CC=F)
Cotton (CT=F)
Orange Juice (OJ=F)
Lumber (LB=F)
💎 Metals:
Gold (GC=F)
Silver (SI=F)
Platinum (PL=F)
Palladium (PA=F)
Copper (HG=F)
Aluminum (ALI=F)
💱 Currencies & Indexes:
U.S. Dollar Index (DXY) (DX=F)
EUR/USD (EURUSD=X)
GBP/USD (GBPUSD=X)
USD/JPY (USDJPY=X)
USD/CAD (USDCAD=X)
USD/CHF (USDCHF=X)
AUD/USD (AUDUSD=X)
NZD/USD (NZDUSD=X)
🛠️ Tools & Libraries Used:
Python 🐍
Matplotlib 📊 for data visualization
Yahoo Finance API 📡 for real-time data retrieval
Jupyter Notebook 📓 for development and analysis
🚀 How to Run the Project:
Clone the repository
Install required libraries:
pip install yfinance matplotlib pandas
Run the Jupyter Notebook:
jupyter notebook
Execute the notebook cells to fetch data and generate the dashboard.
📌 Potential Enhancements:
Add technical indicators (e.g., RSI, Moving Averages)
Include heatmaps for sector-wise performance
Integrate AI/ML for predictive analytics
📫 Let's Connect!
If you're interested in finance, data science, or want to collaborate, feel free to reach out!
#Finance #DataScience #QuantitativeFinance #CrossAsset #Python #Trading #DataVisualization