What is the Accuracy Factor?
In the noise of real-time markets, false signals can be as costly as silence. The Accuracy Factor takes your bot's decision-making a step higher. Instead of trading on every indicator crossover, you set a minimum prediction confidence threshold. The bot will only execute a trade when multiple indicators align and the underlying ML models report the move with a high degree of statistical certainty. It is about quality of signal, not quantity.
How Does It Work?
The Accuracy Factor works by setting a minimum confidence score (between 0.0 and 1.0) that a signal must reach before the bot acts. When an indicator generates a buy or sell signal, the ML prediction pipeline assigns a confidence value. If that value falls below your threshold, the signal is filtered out. This reduces the total number of trades but focuses on higher-conviction opportunities.
Using It in BitThor
Open your bot configuration and locate the Accuracy Factor setting. A value of 0.5 means the bot requires at least 50% confidence from the ML pipeline before executing. Higher values (0.7-0.9) produce fewer trades with stronger signal alignment. Start conservative and adjust based on your simulation results.
Tips for Beginners
-
Start with a threshold of 0.5 and gradually increase as you study the impact on simulation results.
-
Higher accuracy thresholds produce fewer but potentially more focused trades.
-
The Accuracy Factor filters signals based on prediction confidence and does not guarantee signal correctness. Past performance is not indicative of future results.
Indicator by: BitThor | Learn more
Download BitThor for Your Desktop
Get BitThor for your desktop and choose the platform that matches your machine before continuing.
Choose a platform before you continue · Version 0.0.89.4 · All versions →
Risk Disclosure: Cryptocurrency trading involves substantial risk of loss and is not suitable for every user. Review your bot settings carefully before live trading. BitThor provides software tools only and does not provide investment advice. ML-based forecasting and predictive signals are analytical tools only and are not guarantees of future performance or profit.