S = (Rp - Rf) / σp
σ = √(Σ(xi - μ)² / N)
E[X] = Σ xi · P(xi)
f* = (bp - q) / b
MDD = (Peak - Trough) / Peak
Sortino = (R - T) / DR
β = Cov(ri, rm) / Var(rm)
α = Ri - [Rf + β(Rm - Rf)]
VaR = μ - zσ
PF = ΣWins / Σ|Losses|
CAGR = (Vf/Vi)^(1/t) - 1
R² = 1 - (SSres/SStot)
ρ = Cov(X,Y) / σxσy
IR = (Rp - Rb) / σ(Rp - Rb)
∫Σ∂∞μλ$%

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Quant Dev

Turn trading ideas into code, stats, and deployed systems in one seamless workflow.

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The QuantPad Workflow

From idea to deployed strategy in clear, ordered steps.

1
Step 1
Discover

Measure the Edge in Any Idea

Describe any feature in plain English, and QuantPad instantly tests whether it predicts market movement.

We analyze each signal with advanced statistics/ML, and highlight statistically significant confluences worth building around.

Stop guessing. See what actually moves markets.

2
Step 2
Build

Strategies

Describe your strategy in natural language. QuantPad converts it into TradingView Pine, ready to test and iterate.

Or QuantPad will generate a full strategy directly from the predictive signals you discovered.

If you can explain it, QuantPad can code it.

3
Step 3
Test

Validate With Institutional Math

Upload a manual or programmatic backtest. QuantPad runs institutional-grade bootstrapping and Monte Carlo simulations to reveal whether your performance is real or just luck.

If it survives here, it can survive live markets.

4
Step 4
Optimize

See What Truly Drives Performance

Upload a backtest and QuantPad automatically computes features, runs regression analysis, and uncovers the hidden factors affecting your PnL, drawdown, and other KPIs.

Visualize relationships directly in the Strategy Lab and refine your model with confidence.

Understand not just how your strategy works, but why.

5
Step 5
Deploy

Launch or Simulate Prop Firm Performance

Deploy live — or use the Prop Firm Assistant to simulate your odds of passing major prop firm challenges.

We model your strategy's edge under real rules, fees, resets, and payout structures to estimate true expected value.

Know your odds before risking a dollar.

Built for Serious Traders

Professional-grade tools that give you an edge

Machine Learning

Use ML to uncover complex, multi-dimensional relationships that traditional statistics miss. Even when individual features show no edge alone, ML reveals powerful interactions hidden beneath the surface.

  • Multi-feature interactions
  • Nonlinear pattern discovery
  • Hidden-edge detection
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Advanced Strategy Coding

Describe complex logic, stateful models, or intricate risk rules — QuantPad turns it into clean, production-ready Pine Script. No matter how detailed your idea is, QuantPad can build it.

  • Multi-confluence logic
  • Stateful model support
  • Full risk framework
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Influencer Strategy Library

Every two weeks subscribers vote on the next strategy to code. We build it, add it to the library, and you can drop it on your chart or use it as a template.

  • Bi‑weekly releases
  • Drop‑in TradingView templates
  • Community‑driven roadmap
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Influencer Indicators Library

A growing set of popular indicator implementations, ready to overlay on charts or adapt in chat—no coding required.

  • Ready‑made overlays
  • Easy customization
  • Built for discovery
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LLMs built for Pine

Our stack uses retrieval‑augmented generation and bespoke tooling to outperform general models like ChatGPT or Claude for Pine Script tasks.

  • RAG over curated Pine corpus
  • Deterministic tool use
  • Higher compile success
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Pine Script Debugging

QuantPad includes advanced Pine debugging tools that can iteratively fix compiler errors using proprietary tooling — so you don’t have to copy‑paste between your editor and TradingView just to lint code.

  • Iterative compile fixes
  • Fewer TradingView round‑trips
  • Faster ship-to-chart workflow
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