An AI trading bot is a strategy with entry, exit and risk rules. Understand what to define, what to verify and where the decision remains yours.
Describe when to buy, when to exit and how much capital to allocate.
Clerix shows the path from a description to a bot’s rules. Start with a simple scenario, review its conditions and refine the limits. The homepage walks through an illustrative EMA 20 / 50 strategy for BTC / USDT, Spot, on a 1-hour timeframe. No AI service is connected in this demonstration.
Conditions and code sit side by side, so you can see what each parameter controls.
Review entries, exits, position size and signal timing. In the example, signals are checked after candle close, with one position open at a time. The pseudocode illustrates the logic; all risk limits must be reviewed before live use.
Six workflow tasks: analysis, screening, capital, risk, execution and monitoring.
Skills organize data analysis, market screening, capital, risk, execution and monitoring. Select a category on the homepage to explore its purpose. Adapting the source library to crypto is presented as a concept; the local demonstration separately calculates the budget and results for the selected variant.
Read results alongside the test period, costs and drawdown.
Review trades, fees, slippage and data completeness. Repeat the test after changing the rules. Past performance does not guarantee future results. Homepage charts are calculated locally from synthetic data and do not show real trading results.
The same rules, in a separate virtual account.
Observe entry and exit conditions and test orders before deciding to go live. Evaluate paper trading separately from backtesting. This demonstration replays illustrative events without sending orders.
Position limits and reserves are checked before an action is confirmed.
Before launch, review the chosen strategy, budget and access permissions. The local example lets you compare capital allocation and the amount at risk before the stop; no exchange is connected and no live orders are sent. Live trading requires a separately configured connection and limits.
Equity, P&L after costs, drawdown and trades in one context.
Compare results over the same period, account for fees and distinguish trading modes. Check which condition triggered each action. Monitoring helps reveal differences between expected and actual strategy behavior.
First, review the strategy’s rules, history and risks.
A ready-made bot is a starting point for analysis. Choose capital and conditions only after reviewing the strategy’s profile. This concept does not publish verified bot performance; the interactive workflow illustrates what to examine when choosing a strategy.
Funds stay on your exchange. Trading permissions should never allow withdrawals.
Binance, Bybit and OKX are shown as example exchanges. Available exchanges and modes must be checked when connecting. Review the exchange, account and API permissions. Confirm rules you understand and monitor open positions. Disabling withdrawals does not eliminate trading risk. The prototype does not connect to your accounts.
Explore the workflow: idea, rules, backtesting and paper trading.
The homepage lists Start at $29, Pro at $59 and Scale at $100 per month, plus a 7-day introduction to Pro. Check current terms and feature availability before subscribing. The paper trading period is separate from the trial period.
More context and control as new features become available.
Pine Script import, TradingView signals, a dedicated terminal, trading journal and expanded strategy evaluation are coming soon. For now, describe your idea in plain language and review its rules.
Workflow demonstration using synthetic data. No live trades or connections are made.
