AI Deploy Network
Data ExtractionCapital Markets 11/14/2026

Trading application

I’m building a Flutter-based trading app for the Indian stock market. It helps users track shares, review buy and sell signals from rule-based strategies, and decide whether to place a trade through their broker.

Hours Automated
0
Cost Savings
INR 0
Revenue Impact
INR 0

Business Challenge

Retail traders in India often switch between charts, alerts, and broker apps to answer one question: would this strategy work if I followed its rules consistently? Our platform connects each buy or sell signal to a simulated trade and its outcome, so users can evaluate a strategy before risking real money.

Solution Delivered

I built a mobile trading platform for Indian equities using Flutter, Java Spring Boot, and PostgreSQL on Azure. It captures TradingView alerts, simulates trades, and links each signal to its outcome so traders can review gains and losses and evaluate a strategy without risking real money.

Outcomes Achieved

Completed a paper-trading test of 70 trades: 36 were profitable (51.4%), with an overall simulated gain of approximately ₹902. The test showed that the platform could track signals through to trade outcomes; it did not establish live profitability.

Measurable Business Outcome

Validated the platform’s signal-to-outcome tracking across 70 simulated trades. Of those, 36 were profitable (51.4%), with a total simulated gain of approximately ₹902 and no capital at risk.

Business Outcome Categories

Time SavingsAI Performance ImprovementComplianceCustomer ExperienceRevenue GrowthKnowledge Management