Strategy backtesting: fees, drawdown and validation
What a backtest measures, which costs to include and why an attractive equity curve is not enough.
Crypto trading bots: how to choose and test one
Understand what a trading bot does and compare its rules, tests, exchange access and costs before activation.
What is a crypto trading bot?
A crypto trading bot is software that follows predefined rules to generate or execute trading decisions. A signal tells you that a condition occurred; an execution bot can submit orders when its permissions and rules allow it. Neither automation nor an AI label guarantees profit. The useful question is what the system does, how you can test it and what remains under your control.
Some tools offer a ready-made strategy. Others let you configure rules or build a strategy from a description. When comparing them, separate the strategy itself from the software that tests it and the service that sends orders. A good interface should make those boundaries visible.
AI trading bot or rule-based bot: what changes?
An AI strategy builder can help turn an idea into a specification: market, signal, entry, exit, size and limits. A rule-based execution engine then follows the approved specification. AI assistance at the design stage does not mean that a language model should have unrestricted access to an exchange account.
Ask whether the model writes rules, explains results or makes live decisions. Check how changes are reviewed and saved. “AI-powered” alone tells you little about execution, reliability or testing. Our AI trading strategy guide includes a prompt template and the questions to resolve before testing.
How to compare crypto trading bots
Use the same questions for each product instead of comparing only a headline return:
- Rules: can you inspect entry, exit, sizing and halt conditions before activation? Does a configuration change create a new version?
- Market: which exchange, account type, pairs and order types does the specific integration support? A logo in a catalogue is not enough.
- Testing: can you distinguish historical backtesting, paper trading and live execution? Which costs and execution assumptions are modelled?
- Control: what does Stop do to new signals, existing orders and open positions? These are separate actions.
- Access: which API permissions are requested? Trading access and withdrawal access are different permissions.
- Evidence: can you inspect individual trades, skipped signals, fees, failures and the version that produced them?
- Cost: what are the subscription, exchange fees and any separate data or infrastructure charges? Compare totals for your intended workflow.
Keep a comparison sheet with an answer, supporting evidence and any unresolved question for each item. Do not treat an empty answer as a supported feature.
Can you build a trading bot without coding?
A no-code trading bot builder replaces some programming work with forms or a natural-language interface. You still need explicit rules. “Buy when momentum is strong” leaves several questions unanswered: which indicator, which timeframe, what threshold and when the signal is evaluated?
Start with a specification that another person can interpret consistently. Review every assumption introduced by AI. Then test boundary cases such as missing data, duplicate signals and an order below the exchange minimum. A visual builder changes how you enter rules; it does not remove the need to validate them.
Backtesting and paper trading before live use
A backtest applies rules to historical data under chosen assumptions. Examine costs, drawdown and individual trades as well as the final balance. A result selected after many parameter changes may reflect overfitting.
Paper trading uses virtual funds to observe a strategy as incoming market data develops. It can reveal differences between expected and observed actions, but simulated fills may differ from actual exchange execution. Treat moving to live trading as a separate decision with separate permissions and exposure to real losses.
Binance and Bybit bots: check the actual integration
Searches for a Binance trading bot or a Bybit trading bot identify a venue, not a complete requirement. Confirm the account type, region, available instruments and exact API functionality with the service and exchange. Spot and derivatives support are not interchangeable.
Do not infer that a platform supports every venue merely because an article discusses it. For Clerix, review the current connection and feature status before activation. API secrets belong in the intended secure connection flow, never in a public prompt, article comment or screenshot.
Where Clerix fits
Clerix presents a workflow from an AI-assisted strategy idea to rules, historical testing, paper trading and analysis. The public website lets you explore example panels and review the intended process. Its illustrative controls do not send live exchange orders. Testing engines and live execution are described as in development in the product FAQ; verify availability before connecting an account.
Explore Clerix features and the six-stage workflow. Use the questions above to evaluate what is available now, what requires setup and what is planned. Choose a workflow you can explain and inspect, rather than a promise of effortless returns.