Compare AlgoRover and Cryptohopper

AlgoRover and Cryptohopper
Which fits your workflow

AlgoRover is AI-agent-native: find and change strategies, compare multiple symbols in batches, then ask AI to help deploy strategies for demo or live trading and review and manage orders, positions and strategy status. Cryptohopper offers web-based strategy design and cloud bots, while its market-data MCP gives AI agents access to market information. With AlgoRover, run strategies on your own computer or VPS; with Cryptohopper, you can choose platform-hosted execution.

AlgoRover mascot holding AlgoRover slightly higher and Cryptohopper slightly lower

Why choose AlgoRover

From research to execution
Cryptohopper and AlgoRover compared

What mattersAlgoRoverCryptohopper
Best suited toUse an AI agent to research strategies and compare multiple symbols in batches. Inspect local code and control the runtime device, account settings and startup approval.Build and backtest strategies visually on the web, then use a cloud trading bot.
AI and MCPAI-agent-native: use your AI workspace to call tools for strategy discovery, backtests, batch symbol comparisons and results analysis. Local Research and Live support rule and code changes; AI also helps deploy strategies for demo or live trading and review and manage orders, positions and strategy status.Its market-data MCP supplies compatible AI tools with live candles and order-book data.
Changing strategiesTell AI what to change, such as adding a trend filter. It helps edit local parameters, rules and code, so you can inspect the changes and backtest them without writing every change yourself.Combine indicators and conditions in a visual strategy designer, then test or backtest.
Where it runsRun demo or live strategies on your computer or VPS. Local execution needs an awake, online computer; active VPS strategies can continue after your computer shuts down. Cloud Research tests existing strategies without a local backtesting setup.Platform-hosted bots keep running with your computer off once configured and covered by an active subscription.
Deployment and managementAI helps check your computer or VPS, install the product and deploy demo or live strategies. Ask it to check orders, positions and strategy status, or guide you through stopping a strategy. There is no product subscription fee; you maintain the device and network and pay external costs.Manage bots through the web or mobile app. The platform maintains the runtime; the relevant cloud bot requires a paid subscription.

Checked: Cryptohopper · Strategy designCryptohopper · BacktestingCryptohopper · Market-data MCPCryptohopper · Cloud hosting

Start with a trading idea
Develop your own strategy

01 / Understand a strategy

Clarify the trading rulesBefore deciding to run

Review entries, additions and exits and the markets they are designed for. Ask about rules and parameters, organize your hypotheses and then backtest.

Know which trading logic you are testing.

Browse strategies
AlgoRoverResearch · Published reference
BTC / USDT · BINANCE · 3 minutes · v1.0.0

Coral Trend Pullback ADX

Uses Coral trend pullbacks confirmed by ADX and DI with swing brackets.

How the strategy works

The strategy first establishes Coral trend color, then waits for a valid pullback and re-breakout while ADX rises above its midline and DI ordering confirms the side. Entry uses a recent swing extreme as the stop and an R-multiple target; a complete opposite setup may reverse the position.

Market
BTC / USDT · BINANCE
Bar interval
3 minutes
Published version
v1.0.0

02 / Deeper customization

Put your ideaInto a local strategy version

When existing settings cannot express your idea, edit local Research code, inspect changes and run tests. Compare versions as your rules develop.

Keep developing your own rules and implementation.

Explore local research
AlgoRoverResearch · Published reference
BTC / USDT · BINANCE · 3 minutes · v1.0.0

Coral Trend Pullback ADX

Uses Coral trend pullbacks confirmed by ADX and DI with swing brackets.

Settings used for this backtest
Coral smoothing period
25
Coral constant
0.4
ADX period
14
ADX midline
20
Reward-to-risk ratio
1.5
2026-06-03 — 2026-09-01 (UTC)
One-way fee 0.02% · Slippage and funding not modeled

03 / Research evidence

Include costs and test coverageIn your decisions

Review dates, markets, parameters and costs with the backtest. Examine rules and trades to decide whether to broaden the sample, change a condition or end the experiment.

Choose the next step from your question and evidence.

See the result methodology
AlgoRoverResearch · Published reference
BTC / USDT · BINANCE · 3 minutes · v1.0.0

Coral Trend Pullback ADX

Uses Coral trend pullbacks confirmed by ADX and DI with swing brackets.

Total return-4.53%
Max drawdown4.40%
Sharpe ratio-8.09

2026-06-03 — 2026-09-01 (UTC) · Historical backtest record

04 / Cloud research

Test an existing strategyThen choose how to develop it

Install cloud Research in Codex, select a published strategy, market and preset, preview settings and submit a backtest. Review progress and results without a local Python or Docker backtesting setup. Use local Research when you need code changes.

Start by understanding rules and checking results.

Explore cloud and local Research
AlgoRoverResearch · Cloud

Preview this strategy’s 90-day cloud backtest. Show me the settings first.

Here are the 90-day settings from this published record. No backtest job has been submitted.
Strategy and version
Coral Trend Pullback ADX · v1.0.0
Market
BTC / USDT · BINANCE
Bar interval
3 minutes
Test period
2026-06-03 — 2026-09-01 (UTC)
One-way fee
0.02%
Coral smoothing period
25
Coral constant
0.4
ADX period
14
ADX midline
20
Reward-to-risk ratio
1.5
Slippage and funding
Not modeled in this published record
Explore cloud ResearchConfiguration example · Published record data

05 / Execution and control

Deploy strategies with AICheck orders and positions through conversation

Run Live on your own computer or Linux VPS; both support exchange demo and live trading. Tell AI which setup you want. It helps check the environment, install and configure Live, then waits for your approval to start. Local execution requires your computer to stay awake and online. With VPS deployment, active strategies can continue on the server after your personal computer shuts down. Use AI to review orders and positions or stop a strategy.

Live has no product subscription fee. Choose your computer or your own VPS and maintain the device and network. VPS hosting fees are separate.

See supported platforms and modes
AlgoRoverLive · Pre-run check

Do not start live trading. List the settings I need to confirm.

Live trading has not started. Confirm these settings before starting:
Strategy and version
Coral Trend Pullback ADX · v1.0.0
Platform and instrument
Choose the platform, spot or derivatives market and instrument
Trading account
Select the main account or sub-account and configure its API credentials
Execution mode
Select Demo or live and use the credentials for that environment
Runtime location
Choose your computer or your own VPS
Capital and risk
Set capital limits, position size and stop conditions
Current status
Awaiting confirmation · No orders submitted
See the Live workflowLive interface illustration

Live runs on your computer or VPS, which you maintain. AI helps deploy demo or live strategies, check orders, positions and strategy status, and guide you through stopping a strategy. Cloud Research runs backtests rather than continuously hosting trades.