Build Indian Stocks Analysis & Recommendation Website
Budget: ₹600 – ₹1,500 INR
**Project Title: Development of Subscription-Based Indian Stock Recommendation Platform (Technical + Fundamental with AI Integration)**
We are looking for an experienced web developer or development team to build a subscription-based stock analytics website focused on Indian listed companies (NSE/BSE).
### Project Overview:
The objective is to develop a simple and user-friendly platform that provides stock recommendations selected by us and categorized into two major divisions:
1. Short-Term Swing Stocks
2. Long-Term Fundamental Stocks
The platform should be subscription-based and designed with a very simple interface so that even users with limited financial knowledge or education can easily understand and use the system.
---
### Core Functional Requirements:
#### 1. Subscription-Based Access:
* User login/signup system
* Paid subscription model
* Role-based access to stock recommendations
* Subscription management dashboard
---
#### 2. Short-Term Swing Stock Division:
Stocks in this section will be recommended mainly on the basis of price action strategies including:
* Live Closing Price
* EMA (Exponential Moving Average)
* SMA (Simple Moving Average)
* RSI (Relative Strength Index)
* Chart Pattern Recognition
* Volume Analysis
* Support & Resistance Levels
---
#### 3. Long-Term Fundamental Stock Division:
Stocks in this section will be recommended based on:
* Complete Fundamental Analysis
* Company Financial Statements including:
* Balance Sheet
* Profit & Loss Statement
* Cash Flow Statement
* Financial Ratios such as:
* ROE
* Debt-to-Equity
* EBITDA Margin
* Free Cash Flow
* Asset Turnover
* Historical Financial Performance
* Analysis and interpretation of company financial reports
---
#### 4. AI / LLM Integration (Mandatory):
* AI-based analysis of financial reports
* Automated insights for long-term investment decisions
* Pattern recognition for short-term trade setups
* Natural language summary of stock recommendations
* Simplified explanation of stock analysis for non-technical users
---
### Additional Requirements:
* Admin panel to:
* Add or remove selected stocks
* Categorize stocks into Short-Term or Long-Term
* Update recommendations
* Database integration for storing price data and financials
* Automated periodic data updates
* Clean and minimal UI for ease of understanding
---
### Preferred Tech Stack:
* Backend: Python (Django / Flask / FastAPI)
* Frontend: React / Next.js
* Database: PostgreSQL / MongoDB
* AI Integration: LLM-based analysis module
* NSE/BSE Market Data Integration
---
### End Goal:
To develop a subscription-based stock recommendation platform that combines technical trading opportunities for short-term swing trades and fundamentally strong investment opportunities for long-term portfolio building, delivered through a simple and accessible user interface supported by AI-driven analysis.
Developers with prior experience in fintech platforms or financial data-based web applications will be preferred.
We are looking for an experienced web developer or development team to build a subscription-based stock analytics website focused on Indian listed companies (NSE/BSE).
### Project Overview:
The objective is to develop a simple and user-friendly platform that provides stock recommendations selected by us and categorized into two major divisions:
1. Short-Term Swing Stocks
2. Long-Term Fundamental Stocks
The platform should be subscription-based and designed with a very simple interface so that even users with limited financial knowledge or education can easily understand and use the system.
---
### Core Functional Requirements:
#### 1. Subscription-Based Access:
* User login/signup system
* Paid subscription model
* Role-based access to stock recommendations
* Subscription management dashboard
---
#### 2. Short-Term Swing Stock Division:
Stocks in this section will be recommended mainly on the basis of price action strategies including:
* Live Closing Price
* EMA (Exponential Moving Average)
* SMA (Simple Moving Average)
* RSI (Relative Strength Index)
* Chart Pattern Recognition
* Volume Analysis
* Support & Resistance Levels
---
#### 3. Long-Term Fundamental Stock Division:
Stocks in this section will be recommended based on:
* Complete Fundamental Analysis
* Company Financial Statements including:
* Balance Sheet
* Profit & Loss Statement
* Cash Flow Statement
* Financial Ratios such as:
* ROE
* Debt-to-Equity
* EBITDA Margin
* Free Cash Flow
* Asset Turnover
* Historical Financial Performance
* Analysis and interpretation of company financial reports
---
#### 4. AI / LLM Integration (Mandatory):
* AI-based analysis of financial reports
* Automated insights for long-term investment decisions
* Pattern recognition for short-term trade setups
* Natural language summary of stock recommendations
* Simplified explanation of stock analysis for non-technical users
---
### Additional Requirements:
* Admin panel to:
* Add or remove selected stocks
* Categorize stocks into Short-Term or Long-Term
* Update recommendations
* Database integration for storing price data and financials
* Automated periodic data updates
* Clean and minimal UI for ease of understanding
---
### Preferred Tech Stack:
* Backend: Python (Django / Flask / FastAPI)
* Frontend: React / Next.js
* Database: PostgreSQL / MongoDB
* AI Integration: LLM-based analysis module
* NSE/BSE Market Data Integration
---
### End Goal:
To develop a subscription-based stock recommendation platform that combines technical trading opportunities for short-term swing trades and fundamentally strong investment opportunities for long-term portfolio building, delivered through a simple and accessible user interface supported by AI-driven analysis.
Developers with prior experience in fintech platforms or financial data-based web applications will be preferred.