QuantLions — Strategy Research Infrastructure

01 / STRATEGY RESEARCH

Can you test one trading idea across an entire market?

Turn one trading idea into parallel tests across signals, assets, and market conditions.

1,000 backtests100 assets< 3 min recorded run

See the research View plans

Research workspaceEngine online

Your strategy thesis

Find momentum strategies that remain robust across changing volatility regimes.

RSIEMAATR riskRegimes

QuantLions search

Parallel configurations running

TestingRejectedSurviving

02 / VALIDATION

Does your strategy really work—or is it just luck?

Use QuantLions to retest the same logic across tickers, periods, and nearby parameters—so your agent can separate a durable result from one lucky backtest.

Many assetsMany periodsNearby parameters

Start free View plans

Robustness surfaceRanking

Research comparison

Ranked

ILLUSTRATIVE WORKSPACE

Regime comparison

Asset coverage

Parameter stability

Drawdown review

03 / MARKET CONDITIONS

Will your strategy survive a bull run, a downtrend, and a crash?

QuantLions segments the evidence by market condition, so your agent can see where the strategy works, where it weakens, and when it should stay out.

Bull runSideways marketCrash

Start free View plans

Evidence dashboardValidated run

EQUITY CURVEHistorical result

SharpeCompared

Win rateReviewed

Max drawdownMeasured

04 / PERFORMANCE + RISK

How much can your strategy make—and how much can it lose?

Explore returns together with drawdowns, win rate, consistency, and monthly performance before comparing strategy candidates.

ReturnsDrawdownsConsistency

Start free View plans

Strategy exporterPine v6 ready

Selected strategyMomentum Regime 04

Entries translatedRisk rules preservedAlerts configured

Export to TradingView →

//@version=6
strategy("QuantLions Evidence")

fast = ta.ema(close, 21)
slow = ta.ema(close, 180)
robustSignal = fast > slow

if robustSignal
strategy.entry("Long")

strategy.exit("Risk", stop=atrStop)

05 / GROUNDED AI

Is your agent finding a profitable strategy—or hallucinating one?

Give your agent verified market data, reproducible calculations, and structured evidence from QuantLions—not numbers invented inside a conversation.

Verified dataReproducible runsStructured evidence

Start free View plans

ChatGPT: your fastest route to evidence

One idea. 1,000 ways to test it.

Turn any trading idea into evidence across real data, markets, and time periods.

ChatGPT alone Good ideas ChatGPT helps you find trading ideas.

With QuantLions Real evidence

Real market data
Backtest analytics
Risk statistics

100assets tested 1,000research runs < 3 minexecution time

Idea to evidence in under 3 minutes.

Start todayGet 50 welcome credits free

Real production conversation · 100-asset research run · 1,000-run robustness surface.

Agents need research infrastructure.

Let your agents find and validate your strategy.

An agent can generate ideas. QuantLions gives it market data, backtests, and statistics to test them across markets and time periods, so it returns evidence, not guesswork.

< 1 minto connect

01Add the server
02Start your agent
03Ask a question

Claude

Codex

OpenClaw

Gemini

Connect your AI client

From research to TradingView

Export your strategy to TradingView.

Export supported, completed strategies as readable Pine Script for use in TradingView.

TradingView chart for a QuantLions strategy beside its Pine Script editor

01 / Research at scale

Don't trust a strategy until you've tested it thousands of times.

1,441 backtests 97 tickers 6 timeframes 2017–2026 research window

Avg. return+686.4% Avg. alpha+378.1% Highest+49,281.4% Lowest-100.0% Avg. drawdown-72.2%

Timeframe

Choose a timeframe to update this historical research view.

01 / 04 · 1D · 96 RUNS

How wide was the range of historical outcomes?

The strategy return range from P10 through P90 across the completed one-day tests.

Event	Period	Strategy	Buy & hold

Historical research, not a prediction. Open the complete analytics ↗

Simple research credits

Choose the research capacity that fits your workflow.

Credits reflect the work behind each research request, including market coverage, timeframe, history, and parameter samples. You see the estimate before a backtest starts.

Free

$0 / month

Explore the workflow before choosing a paid plan.

25 creditseach month

50 welcome credits for 30 days
1 concurrent research job
100 stored results

Start free

Explorer

$19 / month

For focused strategy checks and regular iteration.

3,000 research creditseach month

1 concurrent research job
2,000 stored results
Credit estimate before every run

Choose Explorer

What can each plan test?

Each column uses a different chart timeframe for the same one-year, one-asset, fixed-configuration example.

PlanSubscription tier Monthly creditsIncluded capacity Daily (1D)1-year test · ≈1 credit Hourly (1H)1-year test · ≈2 credits 1-minute (1M)1-year test · ≈106 credits FreeExplore the workflow 25 ≈25backtests ≈12backtests <1full-year backtest ExplorerFocused iteration 3,000 ≈3,000backtests ≈1,500backtests ≈28backtests TraderCross-market research 15,000 ≈15,000backtests ≈7,500backtests ≈141backtests ResearcherLarge experiment grids 50,000 ≈50,000backtests ≈25,000backtests ≈471backtests

Additional assets and parameter samples add execution cells; cached results are not charged again. Your exact quote appears before execution. Monthly credits do not roll over, automatic overages are disabled, and additional credit packs are not part of the initial launch.

Explore all ideas →