[Discussion] Live trading with Alpaca - $100k portfolio
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- Dominant language
- Python
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Description
Hey Qlib community! 🚀
I'm using Qlib for strategy development and running a $100,000 live portfolio with Alpaca API. Here are my Feb 2026 results:
🏆 REAL RESULTS
| Metric | Value |
|---|---|
| Portfolio Value | $100,512.31 |
| Daily Profit | +$512.31 (+0.51%) |
| Win Rate | 67% (6/9 positions green) |
| Max Drawdown | -2.1% |
💎 Top Trades
- META: +6.7% (AI advertising explosion)
- AAPL: +4.6% (cash flow powerhouse)
- NVDA: +2.3% (AI infrastructure)
📈 The Strategy
Warsh Fed era: overweight AI + cash-flow stocks expecting bear steepening yield curve.
💡 What I'm Offering
I'm trading live with Alpaca API and making consistent profits. I want to share my signals:
- $5/month for daily trading signals
- Risk management framework included
- Real-time portfolio updates
- Qlib-optimized strategies
💳 Payment
- Stripe: https://donate.stripe.com/8x26oGdmX7NK7mPedH7kc01
- First 10 users get FREE lifetime access!
🎯 Why Trust Me?
- Real money, not backtests
- Qlib-verified strategies
- Daily performance updates
- Proven results
Would love to hear from other Qlib users doing live trading!
Stop losing money, start making money. 🦞
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Assessment
- Tech stack
- python
- Domain
- fintech-quant
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 1/100