# Multi-Broker Portfolio Dashboard - Business Thesis

## Executive Summary
A lightweight, privacy-first portfolio tracking tool for hobby traders managing positions across multiple brokers and asset classes (stocks, forex, options). Manual entry, browser-based, no API integrations required.

## The Gap

### Problem
Retail traders who use multiple brokers across different asset classes face a fragmented view of their portfolio risk:
- Alpaca for stocks
- OANDA for forex
- Tradier for options

Existing solutions fall into two categories:
1. **Enterprise tools** (Kubera, Sharesight) - expensive ($360+/year), over-featured for hobby traders
2. **Single-asset trackers** (stock-only or crypto-only) - don't handle multi-asset portfolios

**The missing segment:** Simple, free/freemium tracker for hobby traders with <$5K across 2-3 brokers mixing stocks, forex, and options.

### Market Validation

**Search Data:**
- "portfolio tracker multiple brokers" - consistent search volume
- Reddit r/investing threads show repeated asks for cross-broker aggregation
- Existing tools either require API access (privacy concern) or cost $30+/month

**User Pain Points (from Reddit research):**
- "I use portseido.com" (mentioned in r/stocks)
- "It's hard to track when spread across brokers"
- "Mint discontinued, need alternative"
- "Don't want to give API access to all my accounts"

**Key Insight:** Privacy-conscious traders prefer manual entry over linking broker APIs. Current tools force the tradeoff.

## Why This Gap is Monetizable

### Target Market
- **Hobbyist traders:** $100-$10K portfolio across 2-4 brokers
- **Privacy-conscious investors:** Don't trust Plaid/Yodlee integrations
- **Multi-strategy traders:** Mix of day trading (stocks), scalping (forex), swing (options)

**Market size estimate:**
- ~10M active retail traders in US (Robinhood 24M users, Webull 20M users)
- ~20% use 2+ brokers (multi-broker traders)
- ~2M potential users

### Revenue Model

**Freemium Structure:**

**Free Tier:**
- Manual entry up to 10 positions
- Basic dashboard (total P/L, risk by asset class)
- localStorage only (no cloud sync)
- Ads (Google AdSense)

**Premium ($4.99/month or $49/year):**
- Unlimited positions
- CSV import/export
- Historical tracking & charts
- Cloud sync across devices
- No ads
- Risk alerts (e.g., "You're 40% exposed to tech stocks")

**Alternative Revenue:**
- Affiliate partnerships with brokers (refer new signups)
- Premium features: tax loss harvesting suggestions, rebalancing recommendations
- White-label version for financial advisors ($99/month per advisor)

### Monetization Math

**Conservative estimates:**
- 1,000 free users in first 6 months (SEO + Reddit word-of-mouth)
- 5% conversion to premium = 50 paid users
- $49/year * 50 = $2,450/year
- Ad revenue from 950 free users = ~$500/year
- **Total Year 1: ~$3,000**

**Scale scenario (Year 2-3):**
- 10,000 free users
- 5% premium conversion = 500 users
- $49/year * 500 = $24,500/year
- Ad revenue = ~$5,000/year
- **Total: ~$30K/year**

Not life-changing, but profitable for a no-code side project.

## Technical Approach

### MVP (Built Today)
- Single HTML file (index.html)
- Vanilla JavaScript (no frameworks)
- localStorage for persistence
- Responsive CSS (mobile-first)
- Zero dependencies, zero hosting cost (GitHub Pages)

### Architecture
```
User Input → localStorage → Dashboard Display
   ↓
Manual Entry Forms:
  - Stock: SYMBOL, SHARES, ENTRY_PRICE, CURRENT_PRICE
  - Forex: PAIR, UNITS, ENTRY_RATE, CURRENT_RATE
  - Options: SYMBOL, CONTRACTS, STRIKE, PREMIUM

Calculations:
  - P/L = (CURRENT - ENTRY) * QUANTITY
  - Risk % = POSITION_SIZE / TOTAL_PORTFOLIO_VALUE * 100
  - Aggregate by asset class
```

### Future Features (Premium)
- CSV import (parse broker statements)
- Cloud sync (Firebase or Supabase)
- Historical charts (Chart.js)
- Mobile app (PWA)

## Competitive Landscape

| Tool | Price | Multi-Asset | Manual Entry | Privacy |
|------|-------|-------------|--------------|---------|
| **Kubera** | $360/yr | ✅ | ✅ | ⚠️ (API) |
| **Sharesight** | $216/yr | ✅ | ✅ | ⚠️ (API) |
| **Portseido** | Free | ✅ | ✅ | ✅ |
| **Yahoo Finance** | Free | Stocks only | ✅ | ⚠️ (API) |
| **Our Tool** | Free/$49 | ✅ | ✅ | ✅ (localStorage) |

**Differentiation:**
- **Portseido** is closest competitor - free, manual entry, multi-broker
- **Our edge:** Simpler UI, faster load, better privacy story (no cloud by default), options support

## Go-to-Market Strategy

### Phase 1: Validation (Months 1-3)
- Launch MVP on Product Hunt
- Post to r/investing, r/stocks, r/Forex, r/options
- SEO: Target "free portfolio tracker multi broker"
- Collect feedback, iterate quickly

### Phase 2: Growth (Months 4-12)
- Add premium features based on feedback
- Content marketing: "How to track multi-broker portfolios"
- YouTube tutorials (screen recordings)
- Affiliate partnerships with discount brokers

### Phase 3: Scale (Year 2+)
- Mobile app (PWA → native)
- B2B offering (white-label for financial advisors)
- API integrations (optional, for users who want automation)

## Risks & Mitigations

**Risk 1: Portseido dominates**
- *Mitigation:* Focus on speed, simplicity, and options trading niche

**Risk 2: Low conversion to premium**
- *Mitigation:* Test pricing ($3/mo vs $5/mo), add compelling premium features

**Risk 3: Hard to get users without paid ads**
- *Mitigation:* Organic SEO + Reddit + Product Hunt. Avoid paid ads until PMF proven

**Risk 4: Manual entry friction = poor retention**
- *Mitigation:* Make entry dead simple, add CSV import for batch updates

## Success Metrics

**6-Month Goals:**
- 500 free users
- 25 premium subscribers ($1,225 ARR)
- 4.0+ rating on Product Hunt

**12-Month Goals:**
- 2,000 free users
- 100 premium subscribers ($4,900 ARR)
- Featured on Hacker News or Indie Hackers

**24-Month Goals:**
- 10,000 free users
- 500 premium subscribers ($24,500 ARR)
- Break-even on time investment

## Conclusion

This is a viable micro-SaaS opportunity targeting an underserved niche: privacy-conscious hobby traders with multi-asset, multi-broker portfolios.

The MVP can be built in one day, validated in one month, and scaled to low-five-figures ARR within 18-24 months with minimal ongoing effort.

**Next Steps:**
1. ✅ Build MVP (in progress)
2. Host locally, test with Patrick
3. Deploy to GitHub Pages
4. Soft launch on Reddit r/portfolios
5. Iterate based on feedback

---

**Built:** 2026-02-04  
**Author:** Wisp  
**Project:** Multi-Broker Portfolio Dashboard  
**Status:** MVP Development