Plain-language strategy research

Type an idea, build your market strategy.

Turn a trading idea into explicit rules, test it against 20 years of market data, challenge it with scans and walk-forward validation, then watch it live before risking capital.

Buy AAPL when RSI(14) drops below 30, sell when it recovers above 55
Run this idea
Backtest 1m history back to 2006Plain-English strategy buildingEvery rule stays inspectable

Real strategies. Real backtests.

Research 10,000+ equities on 1-minute history back to 2006. Every strategy below is a real 3-year backtest — open one to see its rules and full results.

Micron Fast EMA Cross

MU · 1h · 3-yr

+131.3%

CAGR

Sharpe

2.85

Max DD

-29.9%

Sortino

4.82

CrowdStrike ATR-Regime Trend

CRWD · 1h · 3-yr

+55.8%

CAGR

Sharpe

1.85

Max DD

-28.1%

Sortino

2.82

Alphabet Fair-Value-Gap Fill

GOOGL · 1h · 3-yr

+53.1%

CAGR

Sharpe

1.99

Max DD

-24.5%

Sortino

3.13

AMD OBV Trend Confirmation

AMD · 1h · 3-yr

+49.3%

CAGR

Sharpe

1.58

Max DD

-21.9%

Sortino

2.63

Nvidia Supertrend Follower

NVDA · 1h · 3-yr

+45.3%

CAGR

Sharpe

1.51

Max DD

-23.6%

Sortino

2.25

Nvidia ROC Momentum Surge

NVDA · 1h · 3-yr

+44.4%

CAGR

Sharpe

1.63

Max DD

-18.1%

Sortino

2.41

Nvidia MACD Divergence

NVDA · 30m · 3-yr

+43.8%

CAGR

Sharpe

2.28

Max DD

-11.5%

Sortino

4.60

Nvidia ADX-Gated Trend

NVDA · 1h · 3-yr

+42.7%

CAGR

Sharpe

1.57

Max DD

-27.9%

Sortino

2.34

Browse all examples →

Past performance does not guarantee future results. Hypothetical.

How it works

Notice a pattern? Ask. Validate, improve, observe.

Chat with the agent
Your strategy will appear here.

One idea, two stages of confidence

The agent does the heavy testing without making you learn every tool.

Quawd turns an idea into inspectable rules, gathers evidence across history, then validates the same strategy on current market data before any real capital is involved.

Step 1 — Research evidence

Backtest with insight

Scan for a statistical edge across history, backtest it, sweep parameters to see which settings actually matter, and walk it forward through out-of-sample windows to check whether the edge holds up.

Evidence shown

Signal scan, parameter sweep, walk-forward windows, holdout, and stress metrics

Verification gauntlet

Evidence required before paper operation

3 of 4 passed
Signal scanTreatment beat outside-signal controlPassed
Parameter sweepBroad plateau around RSI 28–34Passed
Walk-forward4 of 5 rolling OOS windows passedReview
HoldoutUnseen 2024 period remained profitablePassed

OOS Sharpe

0.94

Holdout return

+7.8%

Overfit risk

Moderate

Stable variants

18 / 24

Median window

+9.4%

Worst window

−3.1%

Cost stress

+15.2%

Strategy corr.

0.42

Step 2 — Live validation

Trade with confidence

Validate the strategy live on paper first, with real market movement, simulated fills, P&L, and guardrails visible before you decide whether it belongs anywhere near capital.

Evidence shown

Current validation state, P&L, fills, and controls

Paper session — JPM

Running

JPMorgan Bullish Engulfing Dip

Jun 18 – Jun 30·15m bars·Equity $101,387 (+1.39%)·Trades 2 (1 won)

Daily loss

-2%

Halt

Soft

Cooldown

30 bars

Talk it through

Discuss insights from your quant agent

Before you build anything, think out loud with it. Ask what tends to work, poke at your assumptions, and get an honest, evidence-based read — not a sales pitch.

Chat with your agent

A guided research run

Put a trading idea through the process

No signup required. Watch Quawd turn the idea into explicit rules and inspect the seeded backtest evidence.

Try the demo

Subscription SaaS for individual quants and small teams. Start free — see pricing.

Pricing

Simple, transparent pricing

Start free — upgrade as your research grows. Every plan includes the agent, backtesting, and walk-forward validation.

Recommended

Pro

For serious traders running deeper, higher-volume research.

$99/mo
Strategies
  • Strategies storedUnlimited
  • Build & edit
  • Compare backtests
  • Walk-forward validation
  • Parameter sweeps
Signal
  • Signal scans / month1,500
  • Single-asset scans
  • Universe-wide scans
  • Explain entries / no-entries
  • Research projects
Backtests
  • Backtests / month2,500
Stocks
  • 10,000+ US equities
  • Data history20 years
Events
  • System events (FOMC, earnings)
  • Custom event data
Agent
  • AI assistant usage200,000 tokens
Trading
  • Concurrent trading sessions5
  • Live (real-money) trading
    Coming soon
  • Broker connections3
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FAQ

Frequently asked questions

Quawd

A subscription SaaS platform for designing, backtesting, and paper-trading algorithmic trading strategies on equities and crypto — described in plain English to an AI agent, no code required.

© 2026 Quawd. All rights reserved.

Quawd is a software tool, not a broker-dealer or investment adviser, and does not provide investment advice. Trading involves substantial risk of loss. Backtested and hypothetical results have inherent limitations and are not indicative of future performance.