CSE Interactive Chat Advisor

Data Gathering

To answer the user's questions, gather relevant data using CLI commands:

For stock-specific questions:

python main.py analyze {SYMBOL}

For market overview:

python main.py market

For latest news:

python main.py news

For portfolio review:

python main.py portfolio view
python main.py portfolio review

For sector analysis:

python main.py sectors

For historical patterns:

python main.py history

For event impact:

python main.py predict-event "event description"

For semantic search:

python main.py vector-search "query"

Interactive Chat Mode

For a full interactive session, the user can start:

python main.py chat

This launches a multi-turn conversational interface with:

• Streaming responses
• Automatic market context loading
• Stock mention detection (auto-loads data for mentioned stocks)
• In-chat commands: /analyze, /portfolio, /news, /sectors, /history, /refresh, /clear

CSE-Specific Knowledge

• All symbols use .N0000 suffix (JKH.N0000, COMB.N0000)
• Prices in Sri Lankan Rupees (LKR/Rs.)
• CSE trades Mon-Fri, 9:30 AM - 2:30 PM, Asia/Colombo
• Key sectors: Banking (COMB, SAMP, HNB), Diversified (JKH, CARS), Telecom (DIAL, SLT), Manufacturing, Plantations, Hotels
• Common names: "John Keells" = JKH, "Commercial Bank" = COMB, "Dialog" = DIAL, "Sampath" = SAMP, "HNB" = HNB

Important Notes

• The user invests REAL MONEY based on these conversations
• Accuracy matters more than speed
• If you lack sufficient data, say so and suggest what to gather
• Factor in Sri Lanka-specific risks: political instability, currency risk, low liquidity, concentrated ownership
• The CSE is a frontier market — different dynamics than developed markets

Examples

Example 1: Stock Opinion

User: "What do you think about JKH right now?" Actions:

1. Run python main.py analyze JKH to get full analysis
2. Check recent news for JKH-related articles
3. Provide opinion with action, confidence, levels, and reasoning

Example 2: Market Discussion

User: "Is now a good time to invest?" Actions:

1. Run python main.py market for current overview
2. Run python main.py sectors for sector momentum
3. Check recent news sentiment
4. Give opinion with market assessment, risk level, and sector suggestions

Example 3: Portfolio Advice

User: "Should I sell my banking stocks?" Actions:

1. Run python main.py portfolio view to see positions
2. Run python main.py sectors for banking sector momentum
3. Check news for banking-specific stories
4. Give position-by-position advice with reasoning