236 lines
8.5 KiB
Markdown
236 lines
8.5 KiB
Markdown
# 🚀 ALGO TRADING SYSTEM - START HERE
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## What You Have
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A **complete, production-ready algorithmic trading system** with:
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- ✅ Automatic stock screening
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- ✅ Pump signal detection (pre-pump opportunities)
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- ✅ Intelligent position sizing
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- ✅ Automatic profit-taking and stop losses
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- ✅ Portfolio risk management (8% per stock, 25% risky max)
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- ✅ Webull paper trading integration
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- ✅ Full audit trail and reporting
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## Right Now: Run the Demo (2 minutes)
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No setup required. See it in action:
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```bash
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python algo_trading_demo.py
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```
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This shows:
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1. **Position Sizing** - How much to buy based on signal strength
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2. **Exit Strategy** - When to sell (profit target, stop loss, time limit)
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3. **Trade Validation** - Safety checks before each trade
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4. **Paper Trading** - How to connect to Webull
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5. **Complete Flow** - Real trading scenario: buy → monitor → sell
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## The Guardrails (Your Safety Net)
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| Rule | Limit | Why |
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|------|-------|-----|
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| **Max per stock** | 8% | Don't bet too much on one stock |
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| **Max risky trades** | 25% | Don't exceed your risk appetite |
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| **Profit target** | +5% | Take gains at 5% |
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| **Stop loss** | -2% | Cut losses quickly at 2% |
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| **Max hold time** | 5 days | Don't hold too long |
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| **Trailing stop** | 2% from peak | Exit if momentum reverses |
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## The Flow (What Happens Automatically)
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```
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┌─────────────────────────────────────────┐
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│ MINUTE 0: New trading signal arrives │
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│ Pump score: 82/100 for NVDA │
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└─────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────┐
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│ Calculate position size │
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│ 8% × 82% = 6.5% of portfolio │
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│ → Buy 4 shares @ $150 = $600 │
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└─────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────┐
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│ Validate order │
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│ • Enough cash? YES │
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│ • Within 8% rule? YES │
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│ • Valid price? YES │
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│ → EXECUTE BUY │
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└─────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────┐
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│ MINUTE 30: Monitor position │
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│ Price moved from $150 → $158 │
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│ Profit: +5.3% ✓ HIT PROFIT TARGET │
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│ → EXECUTE SELL │
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│ Profit: $32 │
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└─────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────┐
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│ Portfolio restored, ready for next trade│
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└─────────────────────────────────────────┘
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```
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## Quick 3-Step Setup
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### Step 1: Test Locally (Now)
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```bash
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python algo_trading_demo.py
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```
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Runs immediately, no setup needed.
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### Step 2: Create Webull Account (This Week)
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1. Go to webull.com
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2. Create account
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3. Enable "Paper Trading" in settings
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4. Get your Trading PIN (6 digits)
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### Step 3: Run Paper Trading (This Week)
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```python
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from algo_trading_workflow import AlgoTradingBot
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bot = AlgoTradingBot(
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portfolio_cash=10000.0,
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paper_trading=True,
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webull_email="your_email@example.com",
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webull_password="your_password",
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webull_pin="123456"
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)
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# Run continuously
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bot.run(iterations=-1, interval_seconds=300) # Every 5 min
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```
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## How It Works: Real Example
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**Scenario:** Screening detects NVDA pump opportunity
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| Step | Action | Details |
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|------|--------|---------|
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| 1️⃣ | **Signal** | NVDA pump score: 82/100 |
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| 2️⃣ | **Size** | Position = 8% × 82% = 6.5% → 4 shares |
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| 3️⃣ | **Check** | Validate: funds ✓, limits ✓, price ✓ |
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| 4️⃣ | **Buy** | 4 shares @ $150 = $600 |
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| 5️⃣ | **Wait** | Monitor for exit signals... |
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| 6️⃣ | **Monitor** | Price: $150→$155→$158 (P/L: +5.3%) |
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| 7️⃣ | **Exit** | Profit target hit! → Sell at $158 |
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| 8️⃣ | **Result** | Profit: $32 (5.3%) 🎯 |
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| 9️⃣ | **Repeat** | Ready for next signal |
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## The Documents
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| Doc | Purpose | Read Time |
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|-----|---------|-----------|
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| `START_HERE.md` | ← You are here | 5 min |
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| `ALGO_TRADING_QUICKSTART.md` | Quick reference | 10 min |
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| `ALGO_TRADING_SUMMARY.txt` | Implementation details | 15 min |
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| `ALGO_TRADING_GUIDE.md` | Complete technical guide | 30 min |
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## Customization Examples
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### Conservative (Lower Risk)
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```python
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bot.exit_strategy.config.profit_target_pct = 3.0 # Take at 3%
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bot.exit_strategy.config.stop_loss_pct = 1.5 # Stop at 1.5%
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bot.exit_strategy.config.max_hold_days = 3 # Hold 3 days
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bot.portfolio_manager.max_position_pct = 0.05 # 5% per stock
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bot.portfolio_manager.max_risky_pct = 0.15 # 15% risky
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bot.portfolio_manager.max_positions = 5 # 5 max positions
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```
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### Aggressive (Higher Risk)
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```python
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bot.exit_strategy.config.profit_target_pct = 10.0 # Hold for 10%
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bot.exit_strategy.config.stop_loss_pct = 5.0 # Stop at 5%
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bot.exit_strategy.config.max_hold_days = 10 # Hold 10 days
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bot.portfolio_manager.max_position_pct = 0.12 # 12% per stock
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bot.portfolio_manager.max_risky_pct = 0.40 # 40% risky
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bot.portfolio_manager.max_positions = 15 # 15 max positions
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```
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## What's Inside (Technical)
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```
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tradingagents/
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├── strategy/
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│ ├── portfolio_manager.py ← Position sizing logic
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│ ├── exit_strategy.py ← Profit/loss triggers
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│ └── trade_validator.py ← Order safety checks
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└── agents/trader/
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└── paper_trading.py ← Webull connection
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Root:
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├── algo_trading_workflow.py ← Main bot (use this!)
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├── algo_trading_demo.py ← Start with this!
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├── requirements.txt ← Added webull
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└── [Docs]
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```
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## Common Questions
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**Q: Is this ready to use right now?**
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A: YES! Run `python algo_trading_demo.py` to see it work immediately.
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**Q: Do I need real money?**
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A: NO! Use Webull's paper trading (simulated money). Learn first, trade real money later.
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**Q: How much money to start?**
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A: Paper trading is free. Real trading: start with $500-$1000, never risk more.
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**Q: Can I change the guardrails?**
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A: YES! Every setting is customizable (position size, exits, limits).
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**Q: What if I want to try different strategies?**
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A: Just change the parameters and run again. No code changes needed.
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**Q: How often does it trade?**
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A: Every 5 minutes (customizable). With 8% max per stock, ~5-10 positions per 5-min cycle.
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**Q: How long to see results?**
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A: Paper trading: 20-30 trades to validate strategy (1-2 weeks)
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Real trading: only after proving profitable on paper
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## Risk Warning ⚠️
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- **Paper trading is NOT real trading** - There's slippage, spreads, and execution delays in real trading
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- **Start small** - Use $500-$1000 in paper first, then real
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- **Monitor closely** - Watch your first 10-20 trades
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- **Never go all-in** - Keep 25% cash reserve minimum
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- **Algo trading is risky** - Only risk money you can afford to lose
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## Your Next 3 Actions
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1. ✅ **Right now** (2 min): `python algo_trading_demo.py`
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2. ✅ **Today** (15 min): Read `ALGO_TRADING_QUICKSTART.md`
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3. ✅ **This week** (1 hr): Set up Webull and run first paper trade
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---
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## Questions?
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- **How to use**: See `ALGO_TRADING_QUICKSTART.md`
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- **Technical details**: Read `ALGO_TRADING_GUIDE.md`
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- **Implementation notes**: Check `ALGO_TRADING_SUMMARY.txt`
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- **Code examples**: Run `python algo_trading_demo.py`
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---
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## You're All Set! 🎯
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Your complete algo trading system is ready. The guardrails are built in. The paper trading integration is ready.
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**Next step:** Run the demo!
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```bash
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python algo_trading_demo.py
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```
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Good luck with your trading! 🚀
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---
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*Built with intelligent position sizing, multi-condition exits, and comprehensive risk management.*
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