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Dashboard
Connecting… PAPER TRADING
Portfolio Value
Live from Alpaca
Cash Available
Invested
— positions
Buying Power
Available for trades
Today's P&L
vs this morning's open
Daily Limits
Gain Cap
+4%
Blocks new BUYs
Stop-Loss
-5%
Liquidates all
Max Positions
20
Open at once
Trade Size
$750
Per signal
Portfolio Growth
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Allocation
— positions
Recent Signals
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System Health
Active Strategy
Tickers
Market Status
Last Signal
Stop Loss
Position Size
Total Value
Cash Available
Invested
Buying Power
Open Positions
Paper Trading Mode
TickerSharesAvg CostCurrentValueP&LP&L %
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Recent Trades
WhenTickerActionSharesPriceTotal
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Select a strategy to run on your portfolio. Beginners: start with MA Crossover. It's the most battle-tested and easiest to understand.

LOW RISK
📈 MA Crossover
Buys when the 10-day average crosses above the 50-day. Sells on the reverse. Captures medium-term trends.
+31%
Avg Annual
68%
Win Rate
-14%
Max DD
MED RISK
🚀 Momentum
Buys top performers over the past 3 months. Rotates monthly. Rides winners, exits losers.
+39%
Avg Annual
61%
Win Rate
-22%
Max DD
MED RISK
↔️ Mean Reversion
Buys oversold stocks with RSI below 30. Sells when RSI recovers. Profits from temporary dips.
+24%
Avg Annual
72%
Win Rate
-18%
Max DD
LOW RISK
〰️ Bollinger Bands
Buys when price touches the lower band (2 std deviations below average). Exits at the middle band.
+20%
Avg Annual
74%
Win Rate
-10%
Max DD
MED RISK
📊 MACD Signal
Uses MACD histogram crossovers as buy/sell signals. Combines trend and momentum in one indicator.
+28%
Avg Annual
65%
Win Rate
-17%
Max DD
ADVANCED
🧠 AI Combo
Runs all 5 strategies simultaneously. Takes a position only when 3+ strategies agree. Claude writes the reason.
+44%
Avg Annual
76%
Win Rate
-19%
Max DD
Active Strategy Settings
Configure Backtest

Uses real price data from your D1 database.

What Backtesting Is

Backtesting runs your chosen strategy against historical price data to see how it would have performed — before risking real money.

It's not a guarantee of future performance, but it tells you: Does this strategy have edge? What's the worst drawdown? How often does it win?


Data SourceAlpaca via D1
Trade Costs$0 (Alpaca is free)
TaxesNot modeled
Equity Curve vs Buy & Hold
Trade Log
DayActionPriceEquity
Latest Signals
— buy · — sell · — hold
Active Strategy
Set in Strategies tab
Last Update
Auto-refreshes every 60s
Live Signal Feed
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Understanding Signals
BUY Signal

Strategy conditions are met for entering a position. The trade-executor Worker places a paper order via Alpaca automatically.

SELL Signal

Exit an existing position. Always respect sell signals — emotions cause bad trades.

HOLD Signal

No new entry, no exit. The strategy is watching for a cleaner setup. Patience is edge.

QuantEdge AI
Powered by Claude · Sees your live portfolio data
Hey! I'm your AI trading advisor. I have access to your real portfolio signals and account data from Alpaca. Ask me anything about your portfolio, a strategy, or how to read the market.
Quick Questions
Trading Vocabulary
Moving AverageAverage price over N days
RSIMomentum oscillator 0–100
Drawdown% drop from peak value
Sharpe RatioReturn per unit of risk
BacktestingTesting on historical data
Your Roadmap
Core Concepts
Risk Management
Your Learning Path
Phase 1 — Understand the basics
Learn what stocks, ETFs, and price charts are. You're here.
2
Phase 2 — Run your first backtest
Use the Backtest tab to test MA Crossover on SPY. Note the win rate and drawdown.
3
Phase 3 — Paper trade for 30 days
Watch live signals daily. Don't intervene. Let the system run. Your Alpaca paper account tracks everything.
4
Phase 4 — Try the AI Combo strategy
Switch to AI Combo in the Strategies tab. All 5 strategies run in parallel — Claude arbitrates the final signal.
5
Phase 5 — Go live with real money
Only after 90+ paper days with positive results. Alpaca supports real trading with the same API key.