Intellibot Alice

Strategy Example - Not Investment Advice

This bot configuration is provided as an educational example to demonstrate software capabilities. It does not constitute investment advice, a trading recommendation, or an endorsed strategy. Users must independently evaluate, test, and customize this configuration before deployment. You are solely responsible for all trading decisions and outcomes. See Legal Disclaimers for complete terms.

About

Intellibot Alice is a machine learning bot implementation example. The bot uses a trained model based on SMA, EMA, and RSI indicators. Training data included historical BTC/USD and BTC/CNY market data from specific time periods.

Machine Learning Strategy Limitations

Machine learning models are trained on historical data and may not perform as expected in live market conditions. Training performance does not indicate or guarantee future results. ML strategies can fail when market conditions differ from training data. Extensive independent testing and validation are required before deployment.

The bot configuration requires specification of trade amount and market selection. The ML model makes automated trade entry decisions based on indicator analysis.

Over time, stop-loss, take-profit, and fee insurance parameters have been added to support both spot and futures trading configurations.

Proprietary Training

The training of this bot model was performed by HaasOnline using historical data. The training methodology and data sets have not been open-sourced.

Not Suitable for All Users

Machine learning bots require understanding of ML limitations, model confidence levels, and the distinction between training performance and live execution. This is an advanced configuration.

Strategy Behavior

This ML-based strategy may execute trades infrequently or not at all, depending on model confidence levels and current market conditions. Low trade frequency is characteristic of this implementation as the model waits for conditions matching its training parameters.

Execution Variability

This strategy may enter few or no trades during extended periods when market conditions do not match the model's training data patterns. Infrequent execution does not indicate malfunction - it reflects ML model behavior. Strategy effectiveness varies significantly based on current market conditions versus historical training conditions.

Script Settings

Alice Interval

The interval controls the update speed - it's recommended to set this to a value between 15 minutes and 1 hour.

Stoploss

The stop-loss is a setting we've added to Alice to support futures trading better. It's recommended to set this to 2%.

Take profits

The take-profit is a setting we've added to Alice to support futures trading better. It's recommended to set this to 5%.