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About Momentum
The Advanced Momentum Dashboard is an institutional-grade suite designed to track trend velocity, mean reversion, and regime shifts across any asset class. Rather than relying on a single oscillator, this dashboard aggregates ten distinct momentum models, ranging from the standard **Mayer Multiple** to our proprietary **Momentum Coalescence** and **Alpha Flow** frameworks. By isolating the rate of change across multiple timeframes, analysts can identify trend exhaustion and acceleration with pinpoint precision. The suite unifies ten momentum models into a single workflow: • **Kinetics** reads the smoothed slope of log-price as a pure velocity gauge. It tends to turn before price confirms a base or a top, so the tells that matter are sign flips and whether the slope is steepening or fading. • **Alpha Flow** reads the market regime from a trend-following band and holds bull or bear until price closes through the flip level, with the distance to that flip serving as a live safety margin on the trend. • **Mean Reversion Oscillator (MRO)** runs a smoothed RSI of weekly or monthly closes against overbought and oversold bands, marking each crossing into the extremes with dots. • **Velocity RSI** measures the persistence of directional pressure rather than raw price change, surfacing bullish and bearish divergences and ranking each reading by percentile. • **Stochastic RSI** normalises RSI to its own recent range so it cycles edge to edge faster than RSI itself, a timing oscillator tuned for exhaustion at the bands. • **Coalescence** blends fast and slow rate-of-change, volume delta and up-versus-down volatility into one score; above zero the drivers agree higher, below zero lower, and readings near plus or minus 0.5 mark strongly aligned momentum. • **Diminishing MACD** compares fast and slow log-price moving averages with a top trigger that decays over time to reflect compressing cycle amplitude, where tags of the top have aligned with peaks and tags of the bottom with deep lows. • **Bull Momentum Gauge** is a composite 0–100 reading, green above the 50 midline and red below, mapping how constructive the underlying momentum drivers are. • **Ratio Vector** scales the spread between the 30 and 60-day moving averages to a 0–100 range, where high readings mark a stretched trend and low readings mark compression and washouts. • **Mayer Multiple** frames price over its 200-day moving average, clustering with cycle tops above the overvalued trigger and with the deepest accumulation below the undervalued one. A core feature of this suite is its multi-dimensional approach to volatility and momentum. Models such as the Diminishing **MACD** apply a decaying top trigger to account for logarithmic growth compression, whilst the Bull Momentum Gauge leverages statistical normalisation to map the true underlying bull market energy. This ensures signals are dynamically adjusted to the asset's historical behaviour. Equipped with cross-market search capabilities, the dashboard allows investors to seamlessly switch between crypto, equities, and ETFs. Each metric is paired with customisable overbought and oversold thresholds, visualised through strict heat map overlays and an integrated insights panel to provide immediate contextual percentile rankings.
Signal Zones
Trading Signals by Regime
How It Is Calculated
Frequently asked questions
What is Momentum Coalescence?
Coalescence is a proprietary metric that combines fast and slow rate-of-change, volume delta, and directional volatility into a single oscillator. It measures the true underlying strength of a move, filtering out low-volume anomalies.
How does Alpha Flow determine regime shifts?
It tracks price against a volatility-adjusted average of multiple dynamic averages. A regime formally flips only when price breaches the outer standard deviation bounds, mathematically filtering out false breakouts and chop.
Why does the Diminishing MACD use a downward sloping top line?
Due to the law of large numbers, an asset's volatility naturally compresses as its **Market Cap** grows. The decaying trigger explicitly accounts for this diminishing logarithmic expansion, ensuring historical top signals remain accurate in modern cycles.
Can I use this dashboard for traditional finance assets?
Yes. The dashboard integrates directly with financial APIs to pull live data for global equities and ETFs, allowing for seamless multi-asset momentum analysis using the exact same mathematical frameworks.
What does Kinetics measure?
Kinetics reads the smoothed slope of log-price, expressed as an implied pace rather than a level. Because velocity leads price, it tends to turn before a base or a top confirms, so the signals that matter are sign flips and whether the slope is steepening or fading.
Why does the Mean Reversion Oscillator offer weekly and monthly modes?
The MRO is a smoothed RSI of higher-timeframe closes. Weekly mode surfaces swing-level mean reversion, while monthly mode isolates the slow, cycle-scale stretches. Extended time in the overbought band has preceded local cooling; deep oversold stretches have framed accumulation.
How is Velocity RSI different from a standard RSI?
Velocity RSI measures the persistence of directional pressure rather than raw price change, so it can stay pinned at an extreme through a strong trend. It also surfaces bullish and bearish divergences against price and ranks each reading by percentile to show how unusual the current level is.
What is the Ratio Vector, and how does it relate to the Mayer Multiple?
The Ratio Vector scales the spread between the 30 and 60-day moving averages to a 0–100 range, a fast-over-slow gauge of near-term trend stretch. The Mayer Multiple frames price against the much slower 200-day average. Together they read trend extension at two very different horizons.
Which assets and timeframes are supported?
The dashboard covers a broad universe of crypto, equities and ETFs, switchable from a single search. Several oscillators offer daily, weekly or monthly cadences, and every metric carries customisable overbought and oversold thresholds with percentile context in the insights panel.