Quant Traders
"Build algorithmic strategies using quantitative metrics as trading signals"
You think like a quant. You want to use statistical measures like Sharpe, Sortino, and momentum indicators not just for analysis, but as actual trading conditions.
The Outcome
What you'll achieve
Build institutional-grade algorithmic strategies that react to quantitative signals, not just price movements. Trade like a hedge fund, without the hedge fund.
The Pain
What you're struggling with
Most platforms let you see quant metrics after a backtest, but not use them as live trading signals. You want dynamic, metric-driven strategies that adapt to statistical conditions in real-time.
The Solution
How Screebits helps
Use our Quant Metrics directly in the visual editor as trading conditions. Trigger trades when Sharpe drops below a threshold, scale positions based on volatility metrics, or hedge when drawdown exceeds limits.
How Screebits Fits Your Needs
Specific capabilities designed for your trading style
Quant Metrics as conditions in the visual editor (Elite feature)
Real-time metric calculations integrated into strategy logic
Professional-grade indicators: Sharpe, Sortino, Calmar, Ulcer Index, Recovery Factor
Combine traditional indicators with quantitative conditions
Your Journey in 4 Steps
See how a typical workflow looks for quant traders
Add Quant Metric Condition
Set "If rolling Sharpe Ratio > 1.5"
Combine with Technical Signal
Add "AND RSI crosses above 30"
Configure Adaptive Position
Scale position size by inverse of volatility
Set Risk Guard
Exit if Max Drawdown exceeds 15%
Tools You'll Use
Key Screebits features that power your workflow
"Using Sharpe as a trading condition changed everything. My strategy now only trades when conditions favor it."— Algorithmic Trader
Common Questions
Everything you need to know about trading as a quant traders
Explore Other Use Cases
Not quite your style? See how other traders use Screebits.