KWYRE
QuantEdge
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Options Pricing
Portfolio
Risk (VaR)
Alpha Signals
Backtest
Execute Trade
Efficient Frontier
AI Analyst
Predictive Engine
Server offline — start with:
python -m uvicorn products.quantedge.server.app:app --port 8003
Parameters
Spot Price
Strike Price
Risk-Free Rate
Time to Expiry (yr)
Volatility (σ)
Type
Call
Put
Price Option
Pricing Result
—
Call
—
Put
—
Delta
—
Gamma
—
Theta
—
Vega
—
Rho
P&L Payoff
Asset Inputs
Ticker
Return
Risk
×
Ticker
Return
Risk
×
Ticker
Return
Risk
×
Ticker
Return
Risk
×
+ Asset
Optimize
Optimal Allocation
Portfolio Metrics
—
Exp Return
—
Volatility
—
Sharpe
Return Series
Daily returns (comma/newline separated)
Method
Historical
Parametric
Monte Carlo
Confidence
Sample 252d
Analyze Risk
Risk Metrics
—
VaR 95%
—
VaR 99%
—
CVaR 95%
—
CVaR 99%
—
Max DD
—
Mean Ret
Return Distribution
Signal Parameters
Price Series (comma separated)
Lookback
Strategy
Momentum
Mean Reversion
Sample Data
Generate Signals
Signal Output
Index
Price
Signal
Strength
Backtest Configuration
Daily Returns (comma separated)
Strategy
Momentum
Mean Reversion
Buy & Hold
Initial Capital ($)
Lookback Period
Sample 252d
Run Backtest
Performance Summary
—
Total Return
—
Final Equity
—
Max Drawdown
—
Sharpe
Equity Curve
Order Entry
Symbol
Side
Buy
Sell
Quantity
Order Type
Market
Limit
Limit Price ($)
Portfolio Value ($)
Execute Order
Execution Result
Order Details
Frontier Parameters
Number of Assets
Expected Returns (comma separated)
0.12, 0.10, 0.14, 0.04
Covariance Matrix (one row per line, comma separated)
0.0324, 0.0054, 0.0072, 0.0009 0.0054, 0.0225, 0.0045, 0.0008 0.0072, 0.0045, 0.0484, 0.0011 0.0009, 0.0008, 0.0011, 0.0025
Frontier Points
50
Allow Short Selling
Demo Data
Compute Frontier
Frontier Metrics
Efficient Frontier
AI Analysis
Analysis Type
Market Commentary
Trade Ideas
Risk Narrative
Symbol
Prices (comma separated)
Timeframe
1 Day
1 Week
1 Month
Holdings (JSON array)
[{"symbol":"AAPL","weight":0.3,"return":0.12},{"symbol":"MSFT","weight":0.25,"return":0.08},{"symbol":"BND","weight":0.2,"return":0.04}]
Market Conditions
Risk Tolerance
Conservative
Moderate
Aggressive
Cash Available ($)
Returns (comma separated)
Portfolio Value ($)
Confidence Level
Demo Data
Analyze
Computed Metrics
AI Analysis
Prediction Parameters
Model
Monte Carlo Forecast
Regime Detection
Bollinger Bands
Prices (comma separated)
Horizon (days)
Simulations
Confidence
Daily Returns (comma separated, min 61)
Window
Vol Threshold
Prices (comma separated)
Window
Std Deviations
Demo Data
Run Model
Model Output
Visualization