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 event studies 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.

One example from each style people test, every one a real 3-year backtest. Open one to read its rules and full results.

Browse all 41 examples across 15 families

Trend

Micron Fast EMA Cross

MU · 1h · 3-yr

+131.2%

per year

Sharpe

2.08

Worst drop

-29.9%

Sortino

3.52

Mean reversion

AMD RSI(2) Extreme

AMD · 1h · 3-yr

+32.3%

per year

Sharpe

1.28

Worst drop

-8.6%

Sortino

2.75

Breakout

Broadcom Breakout & Retest

AVGO · 30m · 3-yr

+45.3%

per year

Sharpe

1.33

Worst drop

-33.9%

Sortino

2.12

Rotation

Semiconductor Momentum Rotation

6-stock basket · 1d · 3-yr

+59.6%

per year

Sharpe

1.16

Worst drop

-54.9%

Sortino

1.71

Pairs

Visa / Mastercard Pairs Spread

V vs MA · 15m · 3-yr

+8.6%

per year

Sharpe

0.85

Worst drop

-14.9%

Sortino

1.45

Event-driven

S&P 500 CPI Reaction

SPY · 1h · 3-yr

+4.8%

per year

Sharpe

1.11

Worst drop

-3.1%

Sortino

1.63

Volatility

CrowdStrike ATR-Regime Trend

CRWD · 1h · 3-yr

+56.5%

per year

Sharpe

1.62

Worst drop

-28.1%

Sortino

2.48

Price pattern

Alphabet Fair-Value-Gap Fill

GOOGL · 1h · 3-yr

+49.3%

per year

Sharpe

1.67

Worst drop

-24.5%

Sortino

2.59

Momentum

Nvidia ROC Momentum Surge

NVDA · 1h · 3-yr

+45.8%

per year

Sharpe

1.53

Worst drop

-18.0%

Sortino

2.26

Volume

AMD OBV Trend Confirmation

AMD · 1h · 3-yr

+49.7%

per year

Sharpe

1.45

Worst drop

-21.9%

Sortino

2.42

Divergence

Nvidia MACD Divergence

NVDA · 30m · 3-yr

+44.8%

per year

Sharpe

2.01

Worst drop

-11.3%

Sortino

4.07

Multi-signal

Nvidia Triple-Signal Confluence

NVDA · 30m · 3-yr

+39.2%

per year

Sharpe

1.39

Worst drop

-19.6%

Sortino

2.05

Risk-managed

Nvidia ATR Trailing-Stop Trend

NVDA · 1h · 3-yr

+30.1%

per year

Sharpe

2.07

Worst drop

-9.4%

Sortino

3.99

Portfolio

Trailing-Return Rotation Book

3-strategy book · 1h · 3-yr

+36.4%

per year

Sharpe

1.43

Worst drop

-12.5%

Sortino

2.13

Scheduled / DCA

JPMorgan Weekly DCA Accumulator

JPM · 1d · 3-yr

+5.9%

per year

Sharpe

1.60

Worst drop

-3.2%

Sortino

2.36

Past performance does not guarantee future results. Hypothetical.

How it works

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

I've noticed when Apple takes a dip, it tends to bounce back. Is that actually true?

Let me check. I'll call a dip Apple's RSI(14) falling below 35, and look at what it did over the following weeks, every time since 2021.

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

Run an event study 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

Event study, parameter sweep, walk-forward windows, holdout, and stress metrics

Verification gauntlet

Evidence required before paper operation

3 of 4 passed
Event studyTreatment 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.

Is there any edge in buying the dip on semis right now?

Historically, dip-buying high-beta semis — NVDA, AMD, MU — has paid off while the broader uptrend holds, and gotten punished hard through regime shifts. So the first question is whether the 200-day trend is still intact; if it isn't, "the dip" is often the start of a drawdown. It also matters that the name is genuinely oversold (RSI below 30), not just red on the day. Worth testing: an RSI(<30) entry gated on price above the 200-day, exits on the bounce.

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
  • Event studies / month1,500
  • Single-asset event studies
  • Universe-wide event studies
  • Explain entries / no-entries
  • Research projects
Backtests
  • Backtests / month2,500
Stocks
  • 10,000+ US equities
  • Data history20 years
Events
  • System events (FOMC, CPI, NFP)
  • Custom event data
Agent
  • AI assistant usage20,000 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.