Multi-Timeframe
Momentum Scorecard
Stop Guessing. Start Seeing the Full Picture.
The MMS consolidates momentum across six timeframes, tracks historical signal reliability on your specific chart, and delivers probability-based insights in a single dashboard.
The Problem With Traditional Momentum Indicators
You check RSI on the 15-minute chart. Oversold. Looks like a buy.
You flip to the hourly. Momentum is still falling.
You check the daily. Overbought territory.
Three timeframes. Three different stories. Which one do you trust?
This is the reality most traders face every single day. Flipping between charts, trying to piece together a coherent picture from fragmented data. By the time you’ve checked everything, the opportunity has passed or you’ve entered based on incomplete information.
And even when you do find alignment, you’re still operating on faith. You have no idea whether momentum crosses on your specific instrument and timeframe have historically followed through. You’re trusting a signal without knowing its track record.
One Dashboard. Six Timeframes. Complete Clarity.
The Blockcircle Multi-Timeframe Momentum Scorecard was built to solve this exact problem.
Instead of flipping between charts, you see momentum conditions across your current timeframe and five higher timeframes in a single, consolidated view. Instead of guessing whether a signal is reliable, you see the actual historical win rate of that signal type on your chart. Instead of fixed overbought/oversold levels that fail when volatility shifts, you get adaptive bands that adjust to current market conditions.
The MMS transforms scattered data points into structured, actionable intelligence.
What Makes the MMS Different
- Automatic Timeframe Hierarchy: The indicator automatically selects five higher timeframes based on your current chart. No manual configuration. No misaligned timeframes. On a 15-minute chart, it monitors 30m, 1H, 2H, 4H, and 8H. On a daily, it shifts to 3D, Weekly, 2-Week, Monthly, and Quarterly.
- Chart-Specific Win Rates: Most traders have no idea if their signals actually work on their chosen instrument and timeframe. The MMS tracks zero-line cross outcomes and shows you the historical success rate right on the dashboard. These aren’t theoretical numbers. They’re computed from your chart.
- Waveform/oscillator T3-Smoothed Momentum: Standard CCI is noisy and generates false signals constantly. The T3 transformation applies cascaded exponential smoothing to dramatically reduce noise while preserving responsiveness. Cleaner signals. Fewer fakeouts.
- Volatility-Adaptive Bands: Fixed overbought and oversold levels fail when market conditions shift. The MMS calculates rolling standard deviation and positions extreme zone boundaries dynamically. Bands expand during high volatility, contract during consolidation.
- Multi-Indicator Divergence Confirmation: Single-indicator divergences fail too often to be actionable. The MMS requires confirmation from at least two indicators before flagging a potential reversal. When you see a divergence signal, multiple indicators agree.
- Weighted Confluence Scoring: Higher timeframes carry more weight because their momentum conditions tend to persist longer. The confluence score tells you instantly whether timeframes are aligned, conflicted, or mixed. A single percentage that captures the full picture.
Input Options and Summary Table
The Summary Score sits at the top for a reason. It’s your quick health check.
This 0-100 score aggregates four components: confluence contribution, trend strength based on timeframe alignment, momentum health assessing acceleration versus deceleration, and zone status evaluating your current position relative to extreme and neutral zones.
A score above 70 indicates strong trend conditions. Between 40-70, conditions are mixed or transitioning. Below 40, momentum is weak or conflicted across timeframes.
The accompanying bias indicator tells you the directional lean: Bullish, Bearish, or Mixed.
Momentum Timeframes
This is your multi-timeframe command center.
Each row displays a timeframe with its current momentum value, a directional trend arrow showing whether momentum is rising or falling, a zone status label (Bullish, Bearish, Neutral, Overbought, or Oversold), and a traffic light signal indicator.
When you see green lights stacking across multiple timeframes, conditions are aligned. When you see mixed colors, the market is in disagreement across timeframes. That's valuable information for both entries and risk management.
Statistics
This section quantifies the multi-timeframe relationship.
MTF Confluence shows the weighted percentage indicating overall agreement. Positive percentages lean bullish. Negative percentages lean bearish. The closer to +100 or -100, the stronger the alignment.
TF Alignment gives you a simple count: how many timeframes are bullish versus bearish.
Percentile Rank shows where current momentum sits relative to historical distribution.
Above 80 means momentum is historically elevated. Below 20 means it's historically depressed. This helps identify potential exhaustion points.
Zero Line Analysis
This is where the MMS becomes genuinely different from other momentum tools.
Cross Up Win Rate and Cross Down Win Rate show you the historical success rate of zero-line crosses on your specific chart. If upward crosses have led to price following through 68% of the time over your lookback period, you'll see that number here.
Reject from Below and Reject from Above show the probability of price rejecting the zero line instead of crossing through, based on historical approaches. If the zero line has acted as resistance 70% of the time when approached from below, that changes how you interpret the next approach.
These metrics are computed from your chart, not from theoretical assumptions or backtests on different instruments.
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