The Quantitative Edge
for Serious Traders

Discover statistical edges, build strategies with AI, validate with institutional-grade math, and deploy with confidence — all in one platform.

Interactive preview of the QuantPad project workspace: a prompt types into the message field, then you press Send to watch short assistant lines, web search, file creation, and execution play once in the editor and chat.
Intraday momentum test

Market data coverage includes major U.S. futures and equities venues.

Your trades. Your edge.

Upload a trade log and let the agent find what's working — and what isn't.

Animated preview: upload a trade log, the agent reads it, writes analysis code, runs it, shows a regime chart, and suggests next steps.
ES pullback analysis
Ask QuantPad to refine the analysis…

Production-grade DSL coding

Build indicators and strategies in the languages your venues use. Skills, retrieval, and linters are integrated end-to-end.

  • Multi-DSL

    PineScript, NinjaScript, PowerLanguage, EasyLanguage — one agent, consistent workflow across venues.

Pine strategy draft
Build a PineScript v6 strategy for ES: ATR trailing stop with controlled pyramiding. Load the Pine skill, search the example library for similar patterns, draft the script, and run it through the linter.
pinescript-v6
ATR-based trailing stop with pyramiding
strategyrisk-managementatr
// @version=6
strategy("ATR Pyramid", overlay=true, pyramiding=3)
atrLen = input.int(14, "ATR Length")
atrMult = input.float(1.5, "Trail Multiplier")

The linter flagged two issues — ATR length must be a compile-time simple int, and the entry condition reads cleaner with an explicit boolean. Patching both now.

@@
atrVal = ta.atr(atrLen)
atrVal = ta.atr(14)
@@
if ta.crossover(close, ta.sma(close, 50))

That revision passes the linter. You can paste it into TradingView or keep refining the risk and pyramid rules here.

Follow up on this strategy…

Know your odds before you pay

Monte Carlo your strategy against real prop firm rules — pass probability, drawdown paths, and time-to-target from thousands of reshuffled trade sequences.

Preview of the prop firm Monte Carlo simulator: use Challenge or Funded to switch the equity path chart; metrics show both phases. Pass, fail, and payout statistics come from a sample trade log.
Payout probability

66.80%

Mean payout

$2,703

Days to 1st payout

10.4 days

Net EV (mean)

$579

Net EV, 5th pct

-$998

Net EV, 95th pct

$4,881

Challenge equity paths
Net P&L at trading day 1
p5 $-595Median $-221p95 $1.1K
59.4% losing

Ready to build your edge?

Join traders using QuantPad to discover, build, validate, and deploy quantitative strategies.