Data & execution partners:

If price drops 5% on the chart and , buy $10,000 worth of assets. Sell when price increases by 1%_

Run a backtest to analyze your strategy

Analysing data…

WIN RATE

65%

Total Return

65%

Max Drawdown

65%

Sharpe Ratio

65%

BTCUSDT · 4-hour · RSI 14 · 847 trades simulated

Run backtest

Reset

Run full backtest. Get started for free →

Real traders. Real data.

10,000+

Traders

25,000+

Unique research and backtests conducted

250+

Strategies shared

Strategy Builder

Describe. Build. Test on real data.

Type or speak your strategy in plain English. CoinQuant turns it into a complete trading system: entries, exits, sizing, filters, and risk rules, in seconds.

Keep refining it through conversation. Add conditions, change timeframes, adjust risk, no rebuilding required.

Build your strategy

Create a SMA 200 crossover strategy for BTC on 1H

I've set up your BTC/USDT strategy on the 1-hour chart, entering a long position when the price crosses above the 200 SMA and exiting when it crosses back below

BTC/USDT

Price

Crosses Above

SMA | 200

Enter Long

10 % capital

Market order

Add a stop loss at 1.5%

Done, added stop loss

Exit Trade

1.5% Loss

Suggested next steps:

Add RSI confirmation

Set max entires

Test multiple timeframes

Backtester

Test before you risk capital

Tick-level data for every price movement

Start backtesting now

Visual representation of tick-level data within a candle stick pattern

Tick-level accuracy

Backtest on real tick data, not OHLCV candles. Capture every fill using the same price feed your live bot trades on.

UI snippet of CoinQuant's SQS strategy score

SQS score

Get a strategy quality score (0–100) for every backtest. Instantly see how strong, or fragile, your strategy is.

Gross return

+68.4%

Fees

-1.4%

Slippage

-2.1%

Net return

+64.9%

Real returns

Fees and slippage calculated included in every backtest, not estimated later. Know your true returns before you go live.

Domain Expert

Go beyond your strategy. Ask anything.

Your built-in domain expert. Analyze markets, uncover patterns, and turn insights into strategies.

Start researching now

Decision Contract

BUY / HOLD / SELL with confidence scores

Source Trail

Every claim sourced, freshness-graded A–D

Scenario Planning

Bull / Base / Bear case model

Stat Grids & Charts

Get structured data & charts, not walls of text

BULLISH

Confidence

+78%

HBM3E production ramp driving margin expansion beyond Street estimates through CY2027

Semiconductor

Memory

AI Infrastructure

FMP

2m ago

KAIKO

5m ago

FRED

2h ago

Revenue

$6.8B

↑ +33% QoQ

EPS

$1.12

↑ +285% YoY

Gross Margin

38.2%

↑ +620bps

Community

Discover tested strategies. Clone, backtest, and refine them.

Browse a library of community backtests. Filter by SQS score, asset, return, or timeframe. Clone any strategy into your workspace, then refine it as your own.

Explore tested strategies

Browse the library

Filter hundreds of community strategies by asset, return, SQS score, and timeframe. Find what works before building from scratch.

UI snippet of CoinQuant's library of community-built strategies

Clone & modify

Copy any public strategy into your workspace. Adjust parameters, re-run the backtest on your preferred asset, make it yours.

UI snippet of ready-to-build strategy card from CoinQuant's library

Publish & earn

Share your best-performing strategies. Get visibility on the leaderboard. Monetize through the community marketplace.

Automation / Coming soon

Automate your strategy with one click.

When your backtest performs, deploy your strategy live. Automation is built on tested results.

One-click deploy

Bank-grade security

Cost-optimized execution

Supported exchanges

Trade where you already trade with secure API connections.

Keys are encrypted end-to-end; never stored in plain text.

Why us

Build and test trading strategies without complexity

CoinQuant lets you build and test trading strategies in one workflow. Describe a strategy, build it with AI, and backtest it on real data before risking capital.

Who we are