Organized by
Techkriti
Event Structure: Online Round: Portfolio Building & Analysis: All registered teams will receive details of 20 virtual stocks, including their technical and fundamental analysis. Participants must study the stocks and create a portfolio of 8 stocks using a virtual fund of ₹20 lakh. Teams must present a rationale for their selection, supported by financial statements, news articles, or relevant market data. Bonus Challenge: Justify why the remaining 12 stocks were excluded from your portfolio. ESG (Environmental, Social, and Governance) factors may be incorporated into the portfolio for additional evaluation. Portfolios will be assessed based on stock performance two years into the future, assuming the investments were made in the current year. Offline Round: Machine Learning-Based Stock Price Prediction: Teams will create a Machine Learning model to predict stock prices for each of the 8 selected stocks in their portfolio. A time series model can be used to forecast future price movements. Historical stock data (till Dec 2024) will be provided for training the model. The model will be evaluated on stock prices from 2025-2026. The team with the best-performing model will win the competition. A bonus round will be held, with further details provided on campus. Guidelines: Team Composition & Registration: Each team can have up to 5 memb…
Event Structure: Online Round: Portfolio Building & Analysis: All registered teams will receive details of 20 virtual stocks, including their technical and fundamental analysis. Participants must study the stocks and create a portfolio of 8 stocks using a virtual fund of ₹20 lakh. Teams must present a rationale for their selection, supported by financial statements, news articles, or relevant market data. Bonus Challenge: Justify why the remaining 12 stocks were excluded from your portfolio. ESG (Environmental, Social, and Governance) factors may be incorporated into the portfolio for additional evaluation. Portfolios will be assessed based on stock performance two years into the future, assuming the investments were made in the current year. Offline Round: Machine Learning-Based Stock Price Prediction: Teams will create a Machine Learning model to predict stock prices for each of the 8 selected stocks in their portfolio. A time series model can be used to forecast future price movements. Historical stock data (till Dec 2024) will be provided for training the model. The model will be evaluated on stock prices from 2025-2026. The team with the best-performing model will win the competition. A bonus round will be held, with further details provided on campus. Guidelines: Team Composition & Registration: Each team can have up to 5 memb…
What this event is looking for. Tap a track to see every hackathon tagged with it.
Registration closes
Sat, 14 November 2026
18 days left
Hacking begins
Sat, 14 November 2026
Submissions close
Sat, 14 November 2026
Total prize pool
Not announced
The organizer has not published a prize amount.
Who can enter
Students
Team size
2–5 members per team
Techkriti
Community
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