Inconsistency between timeframes

When using the indicator, you may notice that Order Blocks (OBs) or Breaker Blocks (BBs) appear inconsistently between timeframes or symbols. This behavior can often be explained by how certain options and filters are applied. Below are the main reasons and solutions:

Filters Analyzing the Current Timeframe

Many filters, such as Dynamic Volume or Candle Pattern Strength, evaluate conditions based on the current timeframe. This means:

• An OB or BB may pass the filter criteria on one timeframe but fail on another.

• Lower timeframes might exclude smaller or less significant OBs, while higher timeframes retain them.

Solution:

If consistency is important, reduce the number of filters applied or set them to less restrictive values. This can help ensure similar results across different timeframes.

“Disable Historical Order Blocks” Option

When this option is enabled:

• OBs that are smaller or have already been tested might be immediately removed from the chart, especially if they no longer meet the criteria.

• For example, a small OB that gets tested on a higher timeframe may disappear if it doesn’t meet the filter threshold.

Solution:

Disable this option if you want to ensure historical OBs remain visible, even after they’ve been invalidated or tested.

Differences in Timeframe Scaling

• Lower timeframes often have more bars, allowing for more granular analysis. However, this can cause discrepancies when switching between timeframes, as different sets of data are analyzed.

• Additionally, Multi-Timeframe (MTF) analysis uses data from higher timeframes but scales them for the current chart’s resolution, which can create apparent inconsistencies.

Solution:

When using MTF, always analyze top-down (starting from the higher timeframe). This helps ensure you capture the most critical OBs and BBs first, which can then guide your analysis on lower timeframes.

Mapping OBs and BBs From Other Symbols

The indicator allows you to map data from another symbol (e.g., TOTAL3, BTC.D, or ETHUSD) onto the current chart. While this feature is powerful, the mapping process requires scaling the other symbol’s data to the current chart. This scaling can result in inconsistencies between the mapped OBs/BBs and those calculated directly on the current symbol.

Solution:

When using this feature, keep in mind that mapped OBs and BBs are approximations. They provide valuable insights but may not align perfectly with the structure of the current symbol. Use them as a complementary tool rather than a definitive guide.

Pro Tip: Use Consistent Settings

To reduce inconsistencies:

1. Minimize the number of filters. Start with basic settings and only add filters as needed.

2. Test across multiple timeframes. Check the behavior of the same OB or BB across timeframes to understand how the settings affect its visibility.

3. Enable “Historical Order Blocks” selectively. If you’re primarily focusing on recent data, consider disabling this option for a cleaner view.

4. Understand the purpose of mapped symbols. Use them strategically to gain insights into broader market behavior but don’t expect them to replace direct calculations on the current chart.

By understanding how these options and filters interact with the indicator, you can better interpret and control what’s displayed on your chart.

Higher Timeframe OBs Missing on Lower Timeframes / Why Are Fewer OBs and BBs Displayed on Lower Timeframes?

This is a common question that arises when analyzing lower timeframes (e.g., 30m) using the same settings as higher timeframes (e.g., 4H). The discrepancy is related to the difference in candle requirements for each timeframe and how the indicator processes historical data.

The Candle Multiplier Effect

Some Order Blocks (OBs) from higher timeframes (HTFs) may not appear on lower timeframes because they are too far back in the past. Lower timeframes inherently use more candles, and the available data for analysis can be exhausted quickly, especially on charts like the 1-minute timeframe.

The number of candles available for analysis is a limited resource in TradingView.

For example, on a 30m chart, you need 8 times the number of candles to match the data displayed on a 4H chart.

If you’re using the Medium performance setting, which processes 1000 bars on a 4H chart, you would need at least 8000 bars to see the same Order Blocks (OBs) and Breaker Blocks (BBs) on a 30m chart.

The Solution

Since the closest setting below 8000 bars is Very High (7500 bars), this won’t be sufficient. To ensure that all the 4H levels are visible on the 30m chart, you’ll need to switch to the Ultra High performance setting, which provides 10,000 bars. Always analyze top-down when using Multi-Timeframe (MTF) mode. Begin with higher timeframes to identify large structures and significant OBs first, as they provide the context for analyzing lower timeframes. This approach ensures critical zones are not overlooked.

Steps to Adjust

1. Identify the timeframe you’re analyzing.

Multiply the number of candles on your current setting by the ratio of the timeframes (e.g., 4H to 30m = 8x).

2. Choose the appropriate performance setting.

If the required bars exceed your current setting, increase it to the next available option (e.g., Ultra High for 10,000 bars).

3. Reapply the indicator and check for additional levels.

Key Takeaways

• Lower timeframes inherently need more bars due to their finer granularity.

• Adjusting the performance setting is crucial to ensure all levels are displayed.

• Be mindful that higher performance levels may impact system stability.

By keeping these considerations in mind, you can ensure that the indicator displays the full range of OBs and BBs, regardless of the timeframe you’re analyzing.