FinGenesis: AI powered price prediction application

Next-generation AI-powered financial market application that provides price predictions and analysis for traders and investors. The platform aims to simplify complex market data using AI-driven insights, making it accessible and actionable for users at all levels.

Team and Roles

Rohan Sawhney

UI/UX Design, Visual Design, Research, Front-end collaboration and QA testing

Parag Singhal

CEO at FinGenesis and Stakeholder

Mohammed Aziz

Backend, DevOps & Project Lead

Sivaraj D

Frontend Development Lead

Bhuvanesh

Frontend Developer

Rohan Sawhney

UI/UX Design, Research, Front-end collaboration and QA testing

Mohammed Aziz

Backend, DevOps & Project Lead

Sivaraj D

Frontend Development Lead

Bhuvanesh

Frontend Developer

Parag Singhal

CEO at FinGenesis and Stakeholder

Tech Stack

Tech Stack

Tech Stack

Project Timeline: 10 weeks

Problem Statement

Users lack confidence in trading due to concerns around prediction accuracy, data security, and trust, while a complex interface, overwhelming data visualizations, and limited educational guidance make it difficult—especially for beginners—to understand insights and make informed decisions with confidence.

Goals & Success Criteria

Implement Confidence Scores and Historical Data
Show prediction confidence and past performance to build trust and support informed decisions.

Prioritize Essential Features
Focus on high-impact features that simplify decision-making and reduce cognitive load.

Offer Accessible Educational Content
Provide clear, contextual learning to help users understand AI insights and financial terms.

Incorporate Visual Hierarchy
Use clear visual structure to highlight key insights and guide user attention.

Implement Robust Security Measures
Ensure data protection and compliance while reinforcing user trust.

Kickoff: Discussion and Discovery

Goal was to understand the business purpose and scope of requirements. Multiple sessions were hosted by the Stakeholder in laying out all the requirements.

Market and Competitive Research

To position FinGenesis effectively within the competitive landscape, we examined several market-leading apps that offer price prediction, market scanning, or
AI-driven trading insights. Here’s how FinGenesis compares:

TradingView

Overview: TradingView is widely popular for its robust charting tools, community-driven insights, and social trading features.

Strengths:

Comprehensive charting and technical analysis.
Strong community and social trading networks.

Limitations:

Primarily focused on historical data and chart analysis rather than predictive analytics.
Lacks integrated AI-powered forecasting, making it less proactive for traders seeking forward-looking insights.

FinGenesis Advantage

By integrating advanced AI to predict price movements and scan for market opportunities, FinGenesis reduces the manual effort needed to interpret complex data, offering actionable forecasts that are both clear and personalized.

TrendSpider

Overview: TrendSpider offers automated technical analysis and dynamic charting tools, allowing traders to identify trends with minimal manual input.

Strengths:

Automated trendline detection and technical indicators.
Customizable alerts and multi-timeframe analysis.

Limitations:

While it excels in technical automation, TrendSpider is less focused on AI-powered predictive analytics and sentiment analysis.
The user interface, although powerful, can be complex for beginners.

FinGenesis Advantage

FinGenesis combines user-friendly design with AI-driven predictions, making it accessible for both novices and experienced traders. The inclusion of intuitive onboarding and personalized dashboards ensures that users quickly derive value from the platform.

Tickeron

Overview: Tickeron specializes in AI-based predictions across stocks, forex, and crypto, offering automated pattern recognition and forecasting.

Strengths:

Strong emphasis on AI and machine learning for predictive analytics.
Offers real-time pattern recognition and signal alerts.

Limitations:

The user experience can be somewhat technical and overwhelming, especially for casual investors.
Limited customization in terms of UI/UX personalization and onboarding experience.

FinGenesis Advantage

By focusing on a streamlined, user-centric design — from onboarding to daily usage — FinGenesis provides a smoother journey while retaining the power of AI predictions. The balanced integration of detailed market scanning with robust security features further differentiates it from competitors.

User Research and Problem Definition

Qualitative

User Background & Context
- Can you describe how you currently make financial or investment decisions?
- What tools or platforms do you use today, and why?
- How confident do you feel while making these decisions?
Pain Points & Friction
- What is the most confusing or frustrating part of analyzing financial data?
- Have you ever ignored a tool’s recommendation? Why?
- What makes you hesitate before trusting an AI-generated insight?
Trust & AI Perception
- What information helps you trust a financial prediction?
- How do confidence scores or historical data affect your decisions?
- What would make an AI prediction feel more reliable or transparent?
Decision-Making & Behavior
- How much detail is “enough” before you act on an insight?
- Do you prefer quick summaries or deeper explanations? Why?
- How do you validate insights before taking action?

Quantitative

Ideation and Experience Strategy

User Personas

Our user base is very broad consisting of people from every profession who loves to trade casually or professionally

User flows

Onboarding: Prepare user flows for the user who is planning to onboard with FinGenesis seamlessly

Trial Extension: Users can enjoy a free trial until 5 days are complete. They can proceed and purchase the subscription on a monthly or annual basis at a special introductory offer of 50%