AgentX Hackathon 2026 | Team Profit Pilots
ProfitPilot AI
Agentic trading bot for paper trading
Problem Statement (PS-02)
Retail traders act on noise, skip risk rules and cannot explain their own trades. Build an autonomous agent that reads data and news, picks a strategy, backtests it and trades with paper money.
Sunaina Shetty
BMS College of Engineering, Bangalore
Adarsh Prakash
PES University, Bangalore
Fly High Land Safe
Our Solution
ProfitPilot AI | AgentX Hackathon 2026
ProfitPilot AI is agents that trade Indian stocks with paper money, follow strict safety rules, and explain every trade.
Smarter decisions
Three agents vote instead of one guess
Safer trading
Automatic stop-loss, loss limit and a kill switch
Clear reasons
Every trade comes with a plain-language explanation
How It Works: Agents and Strategies
ProfitPilot AI | AgentX Hackathon 2026
Trend Agent
Finds stocks moving strongly in one direction
News Agent
Reads headlines and blocks risky trades
Reversal Agent
Spots stocks likely to bounce back
The Council adds up the agents’ votes and trades only when they agree.
10 strategies
EMA 9/21 + RSI, Supertrend, VWAP Pullback, Opening Range Breakout, MACD, Bollinger Bands, ADX, RSI Divergence, Donchian Breakout, Stochastic
Product in Action
ProfitPilot AI | AgentX Hackathon 2026
Agent votes
Strategy library
Additional Features
ProfitPilot AI | AgentX Hackathon 2026
Simulation and live market
Replay past days or follow live prices, always with paper money
Daily loss limit
Trading stops automatically at a % daily loss
Kill switch
A human can stop new trades or close everything
Auto stop-loss and sizing
Trade size adjusts to how volatile the stock is
Realistic costs
Fees, taxes and slippage included in every trade
Backtesting + dashboard
Test on past data and compare with buy-and-hold
Tech Used and Overall Outcome
ProfitPilot AI | AgentX Hackathon 2026
Tech used
Outcome