A trading script that calculates the success rate of moving average crossovers by tracking how often golden and death crosses predict accurate price movements.
Explore complementary indicator rolesHow it works
The Moving Average Cross Win Rate script tracks two moving averages: a fast and a slow moving average. It monitors instances where these averages cross each other, specifically focusing on golden crosses (fast MA crossing above slow MA) and death crosses (fast MA crossing below slow MA).
When these crossovers occur, the script then evaluates whether the subsequent price movement matches the crossover's implied direction. By calculating the percentage of times these crossovers correctly predict price movement, traders can assess the reliability of moving average signals for potential trading strategies.
Why it may be useful
Moving average crossovers are fundamental technical analysis tools that help traders identify potential trend changes and momentum shifts in financial markets. By quantifying the win rate of these crossovers, traders can gain deeper insights into the predictive power of moving averages and refine their trading decisions.
Understanding the statistical performance of moving average signals allows traders to develop more robust and data-driven trading strategies. This approach transforms a traditional technical indicator into a measurable tool for evaluating market behavior and potential entry or exit points.
When to explore it
The Moving Average Cross Win Rate is most effective in markets with clear trending characteristics, where price movements demonstrate consistent directional momentum. It works best in liquid markets with sufficient price data to generate statistically meaningful results, such as major stock indices, forex pairs, and heavily traded commodities.
Traders should apply this analysis across multiple timeframes and different moving average configurations to validate the crossover strategy's reliability. By testing various periods and comparing win rates, traders can optimize their approach and develop more nuanced trading strategies tailored to specific market conditions.
Keep exploring
What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.
