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Bazaar-AI-Saathi Mahantesh Hiremath
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‎docs/showcase/bazaar-ai-saathi.mdx

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---
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title: bazaar-ai-saathi| Your AI Friend in the Stock Market 🤖📈
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description: Your AI Friend in the Stock Market 🤖📈
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sidebar_position: 10
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keywords: [StockAnalysis, AI assistant, Perplexity Sonar,Finance with Perplexity]
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---
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# Bazaar-AI-Saathi
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BazaarAISaathi is an AI-powered platform designed to empower investors with actionable insights into the Indian stock market. Leveraging advanced natural language processing, real-time data analytics, and expert-driven financial modeling, the app delivers personalized investment strategies, market sentiment analysis, and portfolio optimization recommendations.
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https://github.com/mahanteshimath/BazaarAISaathi/raw/main/src/App_Architecture.jpg
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## Features
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- 🧮 **Financial Independence Planner (FIRE):** Create detailed, personalized plans for financial independence using inputs like age, salary, marital status, and more.
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- 📝 **Investment Advice Tester:** Submit investment tips via text or image. The app extracts text (using EasyOCR) and provides AI-driven analysis and validation.
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- 📊 **Fundamental & Technical Analysis:** Access comprehensive reports on company fundamentals, technical indicators, market sentiment, and trading strategies.
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- 📈 **Portfolio Analysis:** Upload or paste your portfolio for in-depth, multi-dimensional analysis and stock-wise recommendations.
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- 🔍 **Market Research & Competitor Benchmarking:** Use AI-driven research to assess industry trends, compare competitors, and identify new opportunities.
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- 📉 **Deep Market Insights:** Stay updated with real-time indicators such as top gainers/losers, macroeconomic trends, and critical market data.
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- ⏱️ **Real-Time Stock Data:** Fetch and analyze live stock prices and trends for informed decision-making.
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- 🧪 **Hypothesis Testing:** Test investment hypotheses using historical and real-time data.
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- 💭 **Ask Finance Questions:** Get expert answers to any finance-related queries using advanced AI technology.
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- 📚 **Investment Books Summary:** Access concise summaries of top 50 investment books for quick learning and reference.
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## How It Uses the Sonar API
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Bazaar-AI-Saathi integrates with [Perplexity Sonar Pro](https://docs.perplexity.ai), leveraging advanced features for domain-specific search and rich responses:
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1. **Indian Stock Market**
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* Examples: “All Listed Stocks”, “Finance with Perplexity”, “Today’s Market”
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* Used for macro analysis, trend detection, market reasoning.
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2. **Stock Analysis**
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* Examples: “Techno-Funda Analysis”, “Deep Research”, “Tip Tester”
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* LangChain agent uses these to run fundamental/technical analysis and validate tips.
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3. **Portfolio**
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* Examples: “Portfolio analysis and Optimization”, “Financial Independence”
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* Models help optimize user portfolios and generate FIRE plans.
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Each of these feeds into the **Sonar API models** to get reasoning, analysis, and predictions.
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#### 🔸 List of Sonar API Models:
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* `sonar-deep-research`
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* `sonar-reasoning-pro`
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* `sonar-reasoning`
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* `sonar-pro`
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* `sonar`
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# Links
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Youtube:https://youtu.be/5t2ldWS3SJ8
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GitRepo:https://github.com/mahanteshimath/BazaarAISaathi
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Architecture:https://github.com/mahanteshimath/BazaarAISaathi/raw/main/src/App_Architecture.jpg
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## Flow daigram
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```mermaid
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flowchart TD
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%% User Interface Layer
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subgraph "User Interface Layer"
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direction TB
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Home["Home.py"]:::ui
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Architecture["Architecture.py"]:::ui
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DeepResearch["Deep_Research.py"]:::ui
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RealTimeData["Fetch_real_time_stock_data.py"]:::ui
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AIResearch["Finance_with_Perplexity.py"]:::ui
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FinancialIndependence["Financial_Independence.py"]:::ui
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Hypothesis["Hypothesis.py"]:::ui
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MarketIndicators["Market_Indicators.py"]:::ui
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PortfolioAnalysisPage["Portfolio_Analysis.py"]:::ui
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StocksList["Stocks_List.py"]:::ui
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TechnoFund["Techno_Fund_Analysis.py"]:::ui
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TipTester["Tip_Tester.py"]:::ui
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end
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%% Business Logic Layer
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subgraph "Business Logic Layer"
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direction TB
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RTStock["RealTime_stock_price_analysis.py"]:::logic
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DeepResearchLogic["deep_research.py"]:::logic
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MarketInsights["get_market_insights.py"]:::logic
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FinanceUtils["finance_utils.py"]:::logic
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PortfolioLogic["portfolio_analysis.py"]:::logic
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FIREPlanner["fire_planner.py"]:::logic
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TipAnalysis["tip_analysis.py"]:::logic
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end
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%% Data Layer
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subgraph "Data Layer"
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direction TB
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BSE["BSE_Equity.csv"]:::data
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NSE["NSE_EQUITYS.csv"]:::data
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Holdings["holdings.csv"]:::data
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Books["Top50Books.csv"]:::data
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ArchAsset["Architecture_app.txt"]:::data
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end
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%% External Services
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subgraph "External Services"
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direction TB
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StockAPI["Stock Price API"]:::external
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PerplexityAI["Perplexity AI / LangChain"]:::external
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EasyOCR["EasyOCR / DocParser"]:::external
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StreamlitSecrets["Streamlit Secrets"]:::external
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end
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%% Flows: UI to Logic
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Home -->|navigates to| Architecture
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Home -->|navigates to| DeepResearch
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Home -->|navigates to| RealTimeData
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Home -->|navigates to| AIResearch
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Home -->|navigates to| FinancialIndependence
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Home -->|navigates to| Hypothesis
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Home -->|navigates to| MarketIndicators
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Home -->|navigates to| PortfolioAnalysisPage
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Home -->|navigates to| StocksList
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Home -->|navigates to| TechnoFund
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Home -->|navigates to| TipTester
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RealTimeData -->|calls| RTStock
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DeepResearch -->|calls| DeepResearchLogic
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AIResearch -->|calls| MarketInsights
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PortfolioAnalysisPage -->|calls| PortfolioLogic
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FinancialIndependence -->|calls| FIREPlanner
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Hypothesis -->|calls| FinanceUtils
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MarketIndicators -->|calls| FinanceUtils
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StocksList -->|calls| FinanceUtils
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TechnoFund -->|calls| FinanceUtils
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TipTester -->|calls| TipAnalysis
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%% Logic to Data/External
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RTStock -->|fetches JSON| StockAPI
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RTStock -->|processes data| FinanceUtils
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DeepResearchLogic -->|scrapes & processes| Books
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DeepResearchLogic -->|AI call| PerplexityAI
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MarketInsights -->|sends data| PerplexityAI
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FinanceUtils -->|reads CSV| BSE
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FinanceUtils -->|reads CSV| NSE
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PortfolioLogic -->|reads CSV| Holdings
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FIREPlanner -->|reads CSV| Holdings
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TipAnalysis -->|OCR image| EasyOCR
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TipAnalysis -->|AI validation| PerplexityAI
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%% Return flows
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RTStock -->|DataFrame| RealTimeData
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DeepResearchLogic -->|text/DataFrame| DeepResearch
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MarketInsights -->|insights| AIResearch
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FinanceUtils -->|DataFrame| Hypothesis
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FinanceUtils -->|DataFrame| MarketIndicators
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PortfolioLogic -->|analysis| PortfolioAnalysisPage
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FIREPlanner -->|plan| FinancialIndependence
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TipAnalysis -->|result| TipTester
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%% Click Events
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click Home "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/Home.py"
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click Architecture "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Architecture.py"
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click DeepResearch "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Deep_Research.py"
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click RealTimeData "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Fetch_real_time_stock_data.py"
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click AIResearch "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Finance_with_Perplexity.py"
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click FinancialIndependence "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Financial_Independence.py"
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click Hypothesis "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Hypothesis.py"
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click MarketIndicators "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Market_Indicators.py"
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click PortfolioAnalysisPage "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Portfolio_Analysis.py"
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click StocksList "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Stocks_List.py"
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click TechnoFund "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Techno_Fund_Analysis.py"
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click TipTester "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/pages/Tip_Tester.py"
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click RTStock "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/utils/RealTime_stock_price_analysis.py"
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click DeepResearchLogic "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/utils/deep_research.py"
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click MarketInsights "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/utils/get_market_insights.py"
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click FinanceUtils "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/utils/finance_utils.py"
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click PortfolioLogic "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/utils/portfolio_analysis.py"
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click FIREPlanner "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/utils/fire_planner.py"
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click TipAnalysis "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/utils/tip_analysis.py"
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click BSE "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/src/BSE_Equity.csv"
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click NSE "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/src/NSE_EQUITYS.csv"
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click Holdings "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/src/holdings.csv"
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click Books "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/src/Top50Books.csv"
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click ArchAsset "https://github.com/mahanteshimath/bazaaraisaathi/blob/main/src/Architecture_app.txt"
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%% Styles
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classDef ui fill:#cce5ff,stroke:#004085,color:#004085;
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classDef logic fill:#d4edda,stroke:#155724,color:#155724;
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classDef data fill:#ffeeba,stroke:#856404,color:#856404;
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classDef external fill:#d6d8db,stroke:#1b1e21,color:#1b1e21;
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```
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## Overview
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BazaarAISaathi is an AI-powered platform designed to empower investors with actionable insights into the Indian stock market. Leveraging advanced natural language processing, real-time data analytics, and expert-driven financial modeling, the app delivers personalized investment strategies, market sentiment analysis, and portfolio optimization recommendations.
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## 🚀 Key Features
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- 🧮 **Financial Independence Planner (FIRE):** Create detailed, personalized plans for financial independence using inputs like age, salary, marital status, and more.
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- 📝 **Investment Advice Tester:** Submit investment tips via text or image. The app extracts text (using EasyOCR) and provides AI-driven analysis and validation.
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- 📊 **Fundamental & Technical Analysis:** Access comprehensive reports on company fundamentals, technical indicators, market sentiment, and trading strategies.
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- 📈 **Portfolio Analysis:** Upload or paste your portfolio for in-depth, multi-dimensional analysis and stock-wise recommendations.
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- 🔍 **Market Research & Competitor Benchmarking:** Use AI-driven research to assess industry trends, compare competitors, and identify new opportunities.
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- 📉 **Deep Market Insights:** Stay updated with real-time indicators such as top gainers/losers, macroeconomic trends, and critical market data.
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- ⏱️ **Real-Time Stock Data:** Fetch and analyze live stock prices and trends for informed decision-making.
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- 🧪 **Hypothesis Testing:** Test investment hypotheses using historical and real-time data.
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- 💭 **Ask Finance Questions:** Get expert answers to any finance-related queries using advanced AI technology.
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- 📚 **Investment Books Summary:** Access concise summaries of top 50 investment books for quick learning and reference.
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## 🛠️ Technologies Used
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- **Streamlit:** Interactive web app framework.
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- **Perplexity AI & LangChain:** Advanced NLP and financial forecasting.
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- **Pandas, Plotly, BeautifulSoup:** Data manipulation and visualization.
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- **EasyOCR & Docling Parse:** Text extraction from images and PDFs.
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- **Python Ecosystem:** Including requests, python-dotenv, and more.
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## ⚡ Installation & Setup
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1. **Clone the Repository:**
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```powershell
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git clone https://github.com/yourusername/BazaarAISaathi.git
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cd BazaarAISaathi
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```
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2. **Install Dependencies:**
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```powershell
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pip install -r requirements.txt
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```
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3. **Configure API Keys:**
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- Set up your Streamlit secrets and API keys (Perplexity, etc.) in a `secrets.toml` file.
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4. **Run the App:**
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```powershell
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streamlit run Home.py
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```
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- Or run any specific module from the `pages/` directory, e.g.:
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```powershell
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streamlit run pages/Financial_Independence.py
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```
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## 📁 File Structure
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```plaintext
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├── Home.py
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├── README.md
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├── requirements.txt
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├── pages
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│ ├── Architecture.py
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│ ├── Deep_Research.py
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│ ├── Fetch_real_time_stock_data.py
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│ ├── Finance_with_Perplexity.py
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│ ├── Financial_Independence.py
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│ ├── Hypothesis.py
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│ ├── Market_Indicators.py
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│ ├── Portfolio_Analysis.py
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│ ├── Stocks_List.py
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│ ├── Techno_Fund_Analysis.py
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│ └── Tip_Tester.py
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├── src
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│ ├── Architecture_app.txt
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│ ├── BSE_Equity.csv
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│ ├── holdings.csv
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│ ├── India.jpeg
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│ ├── NSE_EQUITYS.csv
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│ └── Top50Books.csv
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├── utils
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│ ├── deep_research.py
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│ ├── finance_utils.py
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│ ├── fire_planner.py
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│ ├── get_market_insights.py
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│ ├── portfolio_analysis.py
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│ ├── RealTime_stock_price_analysis.py
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│ └── tip_analysis.py
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```

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