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AI agents and tools for the retail investor

Project description

๐Ÿง  Navam Invest

AI-Powered Investment Intelligence for Retail Investors

PyPI version Python Version License: MIT Downloads

Replace $1,000-$10,000/year wealth management fees with institutional-grade AI

Built on LangGraph โ€ข Powered by Anthropic Claude

Quick Start โ€ข Features โ€ข AI Agents โ€ข Workflows โ€ข Documentation


๐ŸŽฏ What is Navam Invest?

An open-source AI investment advisory platform for retail investors managing $50K-$1M portfolios. Get 10 specialized AI agents with automatic intent-based routingโ€”all running locally with your API keys, using free public data.

Just ask naturally. No commands to memorize.

# Install and run
pip install navam-invest
navam invest

# Ask anything - AI routes to the right expert agents automatically
> Should I invest in Apple stock right now?
> Find undervalued tech stocks with strong earnings momentum
> How can I reduce my tax bill before year-end?
> Protect my NVDA position with options strategies

๐Ÿ’ก What You Get

๐Ÿฆ Institutional Intelligence

10 specialized AI agents working together:

  • Equity Research - Deep fundamental analysis
  • Earnings Analysis - Post-earnings drift detection
  • Stock Screening - Systematic idea generation
  • Macro Strategy - Top-down economic context
  • Risk Management - Portfolio exposure analysis
  • Tax Optimization - Tax-loss harvesting
  • Options Strategies - Portfolio hedging
  • Event Monitoring - Real-time alerts
  • Asset Allocation - Strategic planning

+ Automatic routing - Just ask naturally, no commands needed

๐Ÿ’ฐ Zero Lock-In, Maximum Value

Free to run with public data:

  • โœ… Yahoo Finance (unlimited, no key)
  • โœ… SEC EDGAR (unlimited, no key)
  • โœ… U.S. Treasury (unlimited, no key)
  • โœ… 6 optional APIs (generous free tiers)

Your data stays yours:

  • Runs 100% locally on your machine
  • No subscription fees, no recurring costs
  • Open source MIT license

๐Ÿ” Transparent & Explainable

Watch AI agents think in real-time:

  • Progressive streaming of reasoning
  • Full audit trails of data sources
  • Educational explanations, not black boxes
  • Tool execution tracking

Production-ready features:

  • ESC to cancel long operations
  • Auto-save all reports
  • Smart API caching (instant responses)
  • Non-blocking terminal UI

โšก Rich Data Access

32 tools across 9 APIs:

  • Real-time quotes & earnings
  • SEC filings (10-K, 10-Q, 8-K)
  • Insider transactions (Form 4)
  • Economic indicators (GDP, CPI)
  • Yield curves & interest rates
  • News & sentiment analysis
  • Options chains & Greeks
  • Analyst ratings & estimates

80% of features work with zero API keys!


๐Ÿ†š Why Navam Invest?

Solution Cost Intelligence Transparency
Wealth Manager $1K-$10K/year
(1% AUM)
โœ… Expert analysis โŒ Black box decisions
Robo-Advisor $250-$1K/year
(0.25% AUM)
โš ๏ธ Basic rebalancing โš ๏ธ Limited transparency
DIY Research Free โš ๏ธ Time-consuming โœ… Full control
Navam Invest $3-15/month
(AI API costs)
โœ… 10 AI experts โœ… Full audit trails

๐Ÿš€ Quick Start

Installation (2 minutes)

Requirements: Python 3.9+ and an Anthropic API key

# Install from PyPI
pip install navam-invest

# Start the interactive terminal
navam invest

Setup (3 minutes)

1. Get your Anthropic API key (required):

Visit console.anthropic.com and create a free account. ๐Ÿ’ฐ Cost: ~$3-15/month for typical usage (pay-as-you-go, no subscription)

2. Create environment file:

# Copy example file
cp .env.example .env

# Add your key
echo "ANTHROPIC_API_KEY=sk-ant-your-key-here" >> .env

3. Optional: Add free-tier API keys (recommended):

# All have generous free tiers - get keys at their websites
FRED_API_KEY=your_key_here          # Unlimited economic data
TIINGO_API_KEY=your_key_here        # 50 symbols/hr historical data
FINNHUB_API_KEY=your_key_here       # 60 calls/min sentiment
NEWSAPI_API_KEY=your_key_here       # 1,000 calls/day news
ALPHA_VANTAGE_API_KEY=your_key_here # 25-500 calls/day quotes

4. Verify setup:

navam invest
> /api
# Shows: โœ… working / โšช not configured / โŒ failed

First Query (1 minute)

navam invest

# Optional: Pre-warm cache for faster queries
> /cache warm
# Loads 23 common queries (FAANG+ stocks, indices, GDP/CPI)
# Takes 60 seconds, but future queries are instant!

# Just ask naturally - automatic routing!
> Should I invest in Apple stock right now?
# โ†’ Router selects Quill (fundamentals), Macro Lens (timing), Risk Shield (exposure)
# โ†’ Comprehensive BUY/HOLD/SELL recommendation in 30 seconds

> Find undervalued tech stocks with strong earnings momentum
# โ†’ Router selects Screen Forge (screening) + Earnings Whisperer (earnings)
# โ†’ Ranked list of 10-15 candidates with analysis

# Or use workflows for systematic analysis
> /analyze MSFT
# 5-agent comprehensive investment analysis

> /optimize-tax I hold GOOGL at $150, now $120
# Tax-loss harvesting with replacement strategies

> /protect I hold 1000 NVDA shares, worried about correction
# Portfolio hedging with protective options

# Cache management (NEW in v0.1.41)
> /cache
# View hit rates, cached tools, API savings

> /cache clear
# Invalidate all cached entries

๐ŸŽ“ New to Navam Invest? See the Getting Started Guide for detailed walkthroughs.


โœจ Key Features

๐Ÿ”€ Automatic Intent-Based Routing (v0.1.36+)

No more manual agent switching! Just ask your question naturally:

# Simply ask - the router automatically selects the right agent(s)
> Should I invest in AAPL?
# โ†’ Routes to Quill (fundamentals) + Macro Lens (timing) + Risk Shield (exposure)

> Find undervalued tech stocks with strong earnings momentum
# โ†’ Routes to Screen Forge + Earnings Whisperer

> Protect my NVDA position with options
# โ†’ Routes to Hedge Smith for options strategies

Power users can still use manual commands (/quill, /hedge, /risk) for direct agent control.

โšก Smart API Caching (v0.1.41+)

DuckDB-powered caching that dramatically reduces API calls:

  • โœ… 42 cached tools across 9 data sources
  • โœ… Intelligent TTL: Real-time (60s), fundamentals (1h), economic data (24h)
  • โœ… Cache warming: Pre-populate with /cache warm (23 common queries)
  • โœ… Performance stats: /cache shows hit rates and API savings
  • โœ… Zero config: Works out-of-the-box

Expected Performance:

  • 20-40% hit rates on economic indicators
  • 40-70% hit rates on treasury data
  • 10-30% hit rates on equity data
  • Higher over time as you query the same stocks repeatedly

๐Ÿ’ฌ Modern Terminal UI

Built with Textual framework for responsive CLI:

  • โœ… Progressive streaming: Watch tool calls appear in real-time
  • โœ… ESC cancellation: Cancel long operations anytime (v0.1.38+)
  • โœ… Non-blocking: Scroll and interact while agents work
  • โœ… Markdown rendering: Tables, code blocks, syntax highlighting
  • โœ… Auto-save reports: All responses >200 chars saved to reports/
  • โœ… Keyboard shortcuts: ESC (cancel), Ctrl+C (clear), Ctrl+Q (quit)

๐Ÿค– 10 Specialized AI Agents

Each agent is purpose-built with curated tools and expert system prompts:

Agent Purpose Tools Example Query
Quill Deep fundamental research 36 "Analyze AAPL with DCF valuation and insider activity"
Earnings Whisperer Earnings surprise analysis 14 "Find post-earnings drift opportunities in NVDA"
Screen Forge Systematic stock screening 15 "Screen for stocks with 3+ consecutive earnings beats"
Macro Lens Top-down macro analysis 13 "What's the current economic regime for tech stocks?"
News Sentry Real-time event detection 13 "Alert me to material 8-K filings and insider trades"
Risk Shield Portfolio risk management 18 "Calculate VAR and analyze concentration risks"
Tax Scout Tax-loss harvesting 12 "Identify tax-loss harvesting opportunities"
Hedge Smith Options strategies 13 "Design a protective collar for my AAPL position"
Atlas Strategic asset allocation 12 "Create an IPS for $200K portfolio"
Portfolio/Research Legacy general-purpose 24/10 Backward compatibility
๐Ÿ“– View detailed agent capabilities

โญ Quill - Equity Research Analyst

Deep fundamental analysis & investment thesis development

What Quill Does:

  • ๐Ÿ“Š DCF Valuation: Discounted cash flow models with sensitivity analysis
  • ๐Ÿ“ˆ 5-Year Trends: Revenue growth, margins, ROIC, FCF, debt ratios
  • ๐Ÿ’ฐ Earnings Analysis: Historical beats, estimates, surprise patterns
  • ๐ŸŽฏ Analyst Coverage: Consensus ratings, price targets, upgrades/downgrades
  • ๐Ÿข Ownership Tracking: Institutional holders, insider transactions (Form 4)
  • ๐Ÿ“‹ SEC Filings: 10-K/10-Q deep-dives, 8-K material events, XBRL data
  • ๐Ÿ’ต Dividend Analysis: Yield, payout sustainability, history
  • ๐Ÿ“ฐ News Validation: Company-specific news with sentiment

Example Output: 5-section investment thesis with BUY/HOLD/SELL recommendation, fair value range, key catalysts, and risk factors.

๐Ÿ“Š Earnings Whisperer - Earnings Specialist

Earnings surprise analysis & post-earnings drift detection

What Earnings Whisperer Does:

  • ๐ŸŽฏ Historical Tracking: 4-8 quarter earnings surprise analysis
  • ๐Ÿ“ˆ Drift Detection: 1-3 day post-earnings momentum patterns
  • ๐Ÿ”„ Analyst Revisions: Estimate changes post-earnings
  • โœ… Quality Assessment: Revenue vs EPS beats, non-recurring items
  • ๐Ÿ“… Calendar Monitoring: Upcoming earnings with probability scoring
  • ๐Ÿ† Pattern Recognition: Consistent beaters, accelerating growth
  • ๐Ÿ’น Trading Signals: BUY/HOLD/SELL based on drift probability

Example Output: Earnings momentum scorecard with drift probability, pattern analysis, and trading recommendation.

๐Ÿ” Screen Forge - Equity Screener

Systematic stock discovery & idea generation

What Screen Forge Does:

  • ๐Ÿ“ Multi-Factor Screening: Value, growth, quality, momentum factors
  • ๐ŸŽฏ Systematic Discovery: Weekly watchlist generation with ranking
  • ๐Ÿ“ˆ Earnings Momentum: Filter for consistent earnings beaters
  • โฌ†๏ธ Analyst Activity: Upgrade/downgrade-based screening
  • ๐Ÿ’ฌ Sentiment Validation: News and social sentiment checks
  • ๐Ÿ”— Seamless Handoff: Passes top candidates to Quill for deep-dive

Example Output: Ranked table of 10-20 candidates with screening criteria, key metrics, and suggested next steps.

๐ŸŒ Macro Lens - Market Strategist

Top-down economic analysis & regime identification

What Macro Lens Does:

  • ๐Ÿ”„ Economic Cycles: 4-phase regime analysis (early/mid/late expansion, recession)
  • ๐Ÿ“ˆ Yield Curve: Interpretation and recession signal detection
  • ๐Ÿญ Sector Allocation: Macro-driven positioning guidance
  • ๐Ÿ“Š Factor Recommendations: Value vs growth, size, volatility tilts
  • ๐Ÿ“‰ Macro Tracking: Inflation, GDP, employment, Fed policy
  • ๐Ÿ’น Interest Rates: Fed funds, treasury rates, credit spreads

Example Output: Regime assessment with sector allocation matrix, factor positioning, and macro risk scenarios.

๐Ÿ—ž๏ธ News Sentry - Real-Time Event Monitor

Material event detection & breaking news alerts

What News Sentry Does:

  • ๐Ÿ“‹ 8-K Monitoring: Material corporate events (M&A, management changes)
  • ๐Ÿ“ Form 4 Tracking: Insider buying/selling by officers
  • ๐Ÿ“ฐ Breaking News: Real-time company-specific news with sentiment
  • ๐Ÿ“Š Analyst Actions: Rating changes, price target updates
  • ๐ŸŽฏ Event Prioritization: CRITICAL/HIGH/MEDIUM/LOW urgency scoring
  • โšก Rapid Response: Detect market-moving events as they happen

Example Output: Prioritized event list with urgency levels, event details, and recommended actions.

๐Ÿ›ก๏ธ Risk Shield - Portfolio Risk Manager

Comprehensive risk analysis & exposure monitoring

What Risk Shield Does:

  • ๐Ÿ“Š Concentration Analysis: Sector, geographic, single-stock exposures
  • ๐Ÿ“‰ Drawdown Metrics: Historical drawdowns, peak-to-trough, recovery
  • ๐Ÿ’น VAR Calculations: Value at Risk (95%, 99% confidence levels)
  • ๐ŸŽฒ Scenario Testing: Stress tests against historical crises (2008, 2020)
  • ๐Ÿ”— Correlation Analysis: Diversification quality, correlation matrices
  • ๐Ÿ“ˆ Volatility Metrics: Portfolio vol, beta, Sharpe, Sortino ratios
  • โš ๏ธ Limit Breach Detection: Position size, sector concentration thresholds
  • ๐Ÿ› ๏ธ Risk Mitigation: Hedging strategies, rebalancing recommendations

Example Output: Risk scorecard (1-10 scale), concentration analysis, VAR metrics, stress test results, and mitigation recommendations.

๐Ÿ’ฐ Tax Scout - Tax Optimization Specialist

Tax-loss harvesting & wash-sale compliance

What Tax Scout Does:

  • ๐Ÿ’ธ Tax-Loss Harvesting: Identify positions with unrealized losses
  • โฐ Wash-Sale Compliance: 30-day rule monitoring (IRS Section 1091)
  • ๐Ÿ”„ Replacement Candidates: Find substantially different securities
  • ๐Ÿ“Š Capital Gains Analysis: Short-term vs long-term tracking
  • ๐Ÿ“… Year-End Planning: Strategic positioning before Dec 31
  • โš–๏ธ Tax-Efficient Rebalancing: Minimize gains during portfolio adjustments
  • ๐Ÿ“‹ Lot-Level Analysis: FIFO, LIFO, specific lot identification

Example Output: TLH opportunities table with tax savings estimates, wash-sale violations, replacement candidates, and year-end action plan.

๐ŸŽฏ Hedge Smith - Options Strategist

Options strategies for portfolio protection & yield enhancement

What Hedge Smith Does:

  • ๐Ÿ›ก๏ธ Protective Collars: Simultaneous put purchase + call sale for downside protection
  • ๐Ÿ’ฐ Covered Calls: Sell calls against holdings for premium income
  • ๐Ÿ“‰ Protective Puts: Portfolio insurance with cost/benefit optimization
  • ๐Ÿ’ต Cash-Secured Puts: Generate income while waiting to acquire stock
  • ๐ŸŽฏ Strike Selection: Optimal strike selection (5-10% OTM protection, 10-20% income)
  • ๐Ÿ“… Expiration Optimization: 30-45 days for theta decay, 60-90 days for protection
  • ๐Ÿ“Š Options Greeks: Delta, gamma, theta, vega, IV percentile analysis
  • โš–๏ธ Risk/Reward Profiling: Max profit, max loss, breakeven, probability estimates

Example Output: Complete strategy specification with specific strikes, premiums, Greeks, risk/reward analysis, and exit strategy.


๐Ÿ”€ Multi-Agent Workflows

Agents collaborate in sophisticated workflows for institutional-quality analysis:

/analyze - Comprehensive Investment Analysis (5 Agents)

/analyze MSFT

# 1. Quill performs bottom-up fundamental analysis
#    โ†’ Financial health, valuation, earnings trends
# 2. News Sentry checks for material events
#    โ†’ 8-K filings, insider trading, breaking news
# 3. Macro Lens validates with top-down regime analysis
#    โ†’ Economic cycles, sector positioning, yield curve
# 4. Risk Shield assesses portfolio fit
#    โ†’ Concentration risk, VAR, correlation analysis
# 5. Tax Scout evaluates tax implications
#    โ†’ Wash-sale checks, holding period optimization
# 6. Final synthesis combines all perspectives
#    โ†’ BUY/HOLD/SELL with confidence level and reasoning

/discover - Systematic Idea Generation (3 Agents)

/discover quality growth stocks with strong margins

# 1. Screen Forge identifies 10-15 candidates
#    โ†’ Factor-based screening, momentum analysis
# 2. Quill analyzes top 3-5 picks
#    โ†’ Deep fundamental analysis, valuation
# 3. Risk Shield assesses portfolio fit
#    โ†’ Position sizing, concentration analysis
# 4. Final synthesis ranks candidates
#    โ†’ Actionable recommendations with entry points

/optimize-tax - Tax-Loss Harvesting (2 Agents)

/optimize-tax I hold GOOGL at $150, now $120 and ETHUSD at $2500, now $1800

# 1. Tax Scout identifies tax-loss harvesting opportunities
#    โ†’ Unrealized losses >5%, wash-sale compliance, tax savings
# 2. Hedge Smith designs replacement strategies
#    โ†’ Sector ETF substitutes, synthetic long options
# 3. Final synthesis provides actionable tax plan
#    โ†’ Immediate actions, year-end optimization, compliance checklist

/protect - Portfolio Hedging (2 Agents)

/protect I hold 1000 NVDA shares at $120 average cost, currently $500

# 1. Risk Shield analyzes portfolio exposures
#    โ†’ Concentration risk, drawdown analysis, VAR, correlation
# 2. Hedge Smith designs protective strategies
#    โ†’ Protective puts, collars, index hedges, tail risk protection
# 3. Final synthesis provides hedging plan
#    โ†’ Strategy selection, cost-benefit analysis, implementation steps

๐Ÿ’ก Example Workflows

๐Ÿ“Š Comprehensive MSFT Analysis (click to expand)
You: Should I invest in Microsoft?

๐Ÿ”€ Router analyzing your query to select appropriate agent(s)...

Router (Analyzing Intent):
โ†’ Detected investment decision query
โ†’ Routing to Quill (fundamental analysis)
โ†’ Routing to News Sentry (event monitoring)
โ†’ Routing to Macro Lens (market timing validation)
โ†’ Routing to Risk Shield (exposure assessment)
โ†’ Routing to Tax Scout (tax implications)

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
QUILL: FUNDAMENTAL ANALYSIS
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

Quill (Equity Research):
  โ†’ Calling route_to_quill
     Quill analyzing: Should I invest in Microsoft...
     Running specialist tools (fundamental analysis, valuation, investment thesis)...
      โ†’ get_quote({'symbol': 'MSFT'})
      โ†’ get_earnings_history({'symbol': 'MSFT'})
      โ†’ get_analyst_recommendations({'symbol': 'MSFT'})
      โ†’ get_financials({'symbol': 'MSFT'})
  โœ“ Quill (Fundamental Analysis) completed

**Fundamental Assessment**: STRONG
- Price: $420.45 (+0.8%), P/E 31x, Market Cap $3.1T
- 4 consecutive earnings beats, avg +4.2% surprise
- 89% buy ratings, mean target $475 (+13% upside)
- Revenue +15% YoY, 42% gross margin, $87B FCF
- Exceptional profitability (42% ROE)

[... similar sections for News Sentry, Macro Lens, Risk Shield, Tax Scout ...]

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
FINAL SYNTHESIS
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐ŸŽฏ RECOMMENDATION: BUY (Dollar-Cost Average)
๐Ÿ“Š Confidence Level: MEDIUM

**Key Reasoning**:

Microsoft shows exceptional fundamental quality:
- 42% ROE, $87B annual FCF (best-in-class capital efficiency)
- Strong competitive moats (Azure cloud, enterprise software lock-in)
- Consistent earnings beats (+4.2% avg surprise, 4 quarters)
- 89% analyst buy ratings, $475 mean target (+13% upside)

However, macro timing suggests staged entry:
- Late expansion phase (GDP slowing from 2.8% to 2.4%)
- Inverted yield curve (-0.54%) signals 70% recession probability
- Tech sector vulnerable (Nasdaq -8% from highs)

**Suggested Action**:

Dollar-cost average over 3-6 months:
- Tranche 1: 40% now (defensive exposure to quality)
- Tranche 2: 30% if MSFT dips below $390 (-7% from current)
- Tranche 3: 30% if macro deteriorates (recession confirmed)

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿ“„ Report saved to: reports/MSFT_analysis_20251012_143022.md
๐Ÿ’ฐ Tax Optimization for GOOGL + ETHUSD (click to expand)
You: /optimize-tax I hold GOOGL at $150, now $120 and ETHUSD at $2500, now $1800

Tax Optimization Workflow: Starting tax-loss harvesting analysis...

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
TAX SCOUT: TAX-LOSS IDENTIFICATION
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

Tax Scout (Tax Optimization):
  ๐Ÿ’ฐ Tax Scout identifying loss harvesting opportunities...
    โ†’ get_quote
    โ†’ check_wash_sale_window

**TAX-LOSS HARVESTING OPPORTUNITIES**:

1. GOOGL - Alphabet Inc.
   Current Price: $120.00 | Cost Basis: $150.00 | Unrealized Loss: -$30.00 (-20%)
   Holding Period: 180 days (Long-term capital loss)
   Wash-Sale Risk: None (no recent purchases)
   Tax Savings Estimate: $6,000 (assuming 20% LTCG bracket)
   Maintain Exposure? YES (core tech holding)

2. ETHUSD - Ethereum
   Current Price: $1,800 | Cost Basis: $2,500 | Unrealized Loss: -$700 (-28%)
   Holding Period: 45 days (Short-term capital loss)
   Wash-Sale Risk: None
   Tax Savings Estimate: $259 (assuming 37% ordinary income bracket)
   Maintain Exposure? YES (crypto allocation)

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
HEDGE SMITH: REPLACEMENT STRATEGIES
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

Hedge Smith (Options Strategist):
  ๐Ÿ›ก๏ธ Hedge Smith designing replacement strategies...
    โ†’ get_options_chain
    โ†’ get_sector_etf_alternatives

**REPLACEMENT STRATEGY: GOOGL**

Option 1: Sector ETF Substitute (RECOMMENDED)
- Ticker: XLK - Technology Select Sector SPDR ETF
- Correlation: 0.75 (wash-sale compliant)
- Investment: $120 ร— shares (match original position size)
- Hold for: 31+ days, then repurchase GOOGL if desired

Option 2: Synthetic Long (Options)
- Buy 1 call @ $120 strike, 60-day expiration
- Sell 1 put @ $120 strike, 60-day expiration
- Net cost: ~$2.50 per share ($250 per contract)
- Delta: ~1.0 (matches stock exposure)

**REPLACEMENT STRATEGY: ETHUSD**

Option 1: Execute sell + immediate rebuy (RECOMMENDED)
- Crypto exempt from wash-sale rules (IRS Notice 2014-21)
- Harvest loss: -$700 tax deduction
- Rebuy immediately: Maintain same exposure with zero gap

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
FINAL TAX OPTIMIZATION PLAN
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐ŸŽฏ **IMMEDIATE ACTIONS** (Execute today):

1. Sell GOOGL @ market
   โ†’ Replace with XLK (Tech ETF) for 31+ days
   โ†’ Tax savings: $6,000 | Hold ETF 31+ days

2. Sell ETHUSD @ market
   โ†’ Rebuy immediately (crypto exempt from wash-sale)
   โ†’ Tax savings: $259 | Maintain same exposure

**TOTAL TAX IMPACT**:
- Total harvestable losses: -$6,259
- Estimated tax savings: $6,259
- Net tax benefit: $6,259

**COMPLIANCE CHECKLIST**:
- [ ] Confirm no GOOGL purchases in last 30 days
- [ ] Select replacement security (XLK or 31-day cash hold)
- [ ] Document cost basis and trade dates for tax reporting
- [ ] Set 31-day calendar reminder

โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”

๐Ÿ“„ Report saved to: reports/report_tax_optimization_20251014_123710.md

๐Ÿ“Š Data Sources

32 tools across 9 APIs (3 completely free, 6 with generous free tiers):

Data Source Coverage Free Tier Cost
Yahoo Finance ๐Ÿ†“ Real-time quotes, earnings, analyst ratings, ownership Unlimited FREE
SEC EDGAR ๐Ÿ†“ Corporate filings (10-K, 10-Q, 8-K), insider transactions Unlimited FREE
U.S. Treasury ๐Ÿ†“ Yield curves, treasury rates Unlimited FREE
Tiingo 5-year historical fundamentals 50 symbols/hr Optional
Finnhub News/social sentiment, insider trades 60 calls/min Optional
Alpha Vantage Stock prices, company overviews 25-500 calls/day Optional
FRED Economic indicators (GDP, CPI, unemployment) Unlimited Optional
NewsAPI.org Market news, headlines 1,000 calls/day Optional
Anthropic Claude AI reasoning engine (Sonnet 4.5) Pay-as-you-go Required

๐Ÿ’ก 80% of functionality works with just Yahoo Finance + SEC EDGAR (no API keys needed!)


๐Ÿ—บ๏ธ Roadmap

Current Release: v0.1.42 (October 2025)

Latest in v0.1.41:

  • โœ… API Caching Layer: DuckDB-based caching with 42 cached tools
  • โœ… Cache Warming: /cache warm (23 common queries)
  • โœ… Performance Boost: Up to 75% hit rates on repeated queries

v0.1.40:

  • โœ… /protect Workflow: Portfolio hedging (Risk Shield + Hedge Smith)

v0.1.39:

  • โœ… /optimize-tax Workflow: Tax-loss harvesting with replacement strategies

v0.1.38:

  • โœ… ESC Cancellation: Cancel long operations anytime
  • โœ… Non-blocking TUI: Scroll while agents work

v0.1.37:

  • โœ… Extended /analyze: 5-agent comprehensive analysis
  • โœ… /discover Workflow: Systematic idea generation

v0.1.36:

  • โœ… Automatic Intent Routing: No more manual agent switching

Planned Features

v0.1.43+ (Q4 2025):

  • Workflow Progress Visualization: Enhanced TUI with status indicators
  • Async Tool Execution: Parallel tool calls for faster responses
  • Cache Analytics: Hit rate optimization and size management

v0.2.0+ (Q1 2026):

  • Backtesting Engine: Test strategies on historical data
  • Web UI: Browser-based interface (in addition to TUI)
  • State Persistence: PostgreSQL checkpointer for cross-session memory
  • Cloud Deployment: LangGraph Cloud integration
  • Custom Agents: User-defined agent templates
  • Python SDK: Programmatic API for integrations

๐Ÿ“š Documentation

User Guides

Developer Resources


๐Ÿค Contributing

We welcome contributions! Built by retail investors, for retail investors.

Ways to Contribute

Development Workflow

# Fork and clone
git clone https://github.com/your-username/navam-invest.git
cd navam-invest

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install in editable mode with dev dependencies
pip install -e ".[dev]"

# Make changes and run quality checks
black src/ tests/        # Format
ruff check src/ tests/   # Lint
mypy src/                # Type check
pytest                   # Test

# Commit and push
git checkout -b feature/amazing-feature
git commit -m "feat: Add amazing feature"
git push origin feature/amazing-feature

See CONTRIBUTING.md for detailed guidelines.


๐Ÿ“„ License

MIT License - Free for personal and commercial use. See LICENSE for details.


๐Ÿ™ Acknowledgments

Core Technologies

Data Providers


Built with โค๏ธ for retail investors

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