Rate-of-change — Indicators and Strategies

FluxPulse Momentum [JOAT]FluxPulse Momentum - Adaptive Multi-Component Oscillator FluxPulse Momentum is a composite oscillator that blends three distinct momentum components into a single, smoothed signal line. Rather than relying on a single indicator, it synthesizes adaptive RSI, normalized rate of change, and a Kaufman-style efficiency ratio to provide a multi-dimensional view of momentum. What This Indicator Does Combines RSI, Rate of Change (ROC), and Efficiency Ratio into one weighted composite Applies EMA smoothing to reduce noise while preserving responsiveness Displays overbought/oversold zones with optional background highlighting Generates buy/sell signals when the oscillator crosses its signal line in favorable zones Provides a real-time dashboard showing current state, momentum direction, and efficiency Core Components Adaptive RSI (50% weight) — Standard RSI calculation normalized around the 50 level Normalized ROC (30% weight) — Rate of change scaled relative to its recent maximum range Efficiency Ratio (20% weight) — Measures directional movement efficiency, inspired by Kaufman's adaptive concepts The final composite is smoothed twice using EMA to create both a fast line and a signal line. Signal Logic // Buy signal: crossover in lower half buySignal = ta.crossover(qmo, qmoSmooth) and qmo < 50 // Sell signal: crossunder in upper half sellSignal = ta.crossunder(qmo, qmoSmooth) and qmo > 50 Signals are generated only when the oscillator is positioned favorably—buy signals occur below the 50 midline, sell signals occur above it. Dashboard Information The on-chart table displays: Current oscillator value with gradient coloring Momentum state (Overbought, Oversold, Bullish, Bearish, Neutral) Momentum direction and acceleration Efficiency ratio percentage Active signal status Inputs Overview RSI Length — Period for RSI calculation (default: 14) ROC Length — Period for rate of change (default: 10) Smoothing Length — EMA smoothing period (default: 3) Overbought/Oversold Levels — Threshold levels for zone detection Await Bar Confirmation — Wait for bar close before triggering alerts How to Use It Watch for crossovers between the main line and signal line Use overbought/oversold zones to identify potential reversal areas Monitor the histogram for momentum acceleration or deceleration Combine with price action analysis for confirmation Alerts Buy Signal — Bullish crossover in the lower zone Sell Signal — Bearish crossunder in the upper zone Overbought/Oversold Crosses — Level threshold crossings This indicator is provided for educational purposes. It does not constitute financial advice. Always conduct your own analysis before making trading decisions. — Made with passion by officialjackofalltrades

Adaptive Momentum Pressure (AMP)🔹 Adaptive Momentum Pressure (AMP) A hybrid momentum oscillator that adapts to volatility and trend dynamics. AMP measures the rate of change of price pressure and automatically adjusts its sensitivity based on market volatility. It reacts faster in trending markets and smooths out noise during consolidation — helping traders identify genuine momentum shifts early while avoiding whipsaws. 🧠 Core Concept AMP fuses three elements into one adaptive momentum model: Normalized Momentum (ROC) – captures directional acceleration of price. Adaptive Smoothing – the smoothing length dynamically contracts when volatility rises and expands when it falls. Directional Bias – derived from the short-term EMA slope to weight momentum toward the prevailing trend. Combined, these form a pressure value oscillating between –100 and +100, revealing when momentum expands or fades. ⚙️ How It Works Calculates a normalized rate of change (ROC) relative to recent volatility. Adjusts its effective length using the ATR — more volatile periods shorten the lookback for quicker reaction. Applies a custom EMA that adapts in real time. Modulates momentum by a normalized EMA slope (“trend bias”). Produces a smoothed AMP line with a Signal line and crossover markers. 🔍 How to Read It Green AMP line rising above Signal → Building bullish momentum. Red AMP line falling below Signal → Fading or bearish momentum. White Signal line = smoothed confirmation of trend energy. Green dots = early bullish crossovers. Red dots = early bearish crossovers. Typical interpretations: AMP crossing above 0 from below → early bullish impulse. AMP peaking near +50–100 and curling down → potential momentum exhaustion. Crosses below 0 with red pressure → bearish confirmation. ⚡ Advantages ✅ Adaptive across all markets and timeframes ✅ Built-in trend bias filters false signals ✅ Reacts earlier than RSI/MACD while reducing noise ✅ No manual retuning required 🧩 Suggested Use Combine with structure or volume tools to confirm breakouts. Works well as a momentum confirmation filter for entries/exits. Optimal display: separate oscillator pane (not overlay). Use it responsibly — AMP is an analytical tool, not financial advice.

Moving average of 1-period Percent Change Another way of finding the average range of the bars using 1 period percentage change of the price and taking an average of them. It's given in percentages and the absolute value of the average can be shown when the option is turned on, or the average including the up and down bars can be shown. Perhaps an alternative way of looking at volatility or range of the bars. If you prefer a line version over histogram, just simply change the style under the settings of the indicator.

Exponential Regression Slope Annualized with R-squared Histogram My other indicator shows the linear regression slope of the source. This one finds the exponential regression slope and optionally multiplies it by R-squared and optionally annualizes it. Multiplying by R-squared makes sure that the price movement was significant in order to avoid volatile movements that can throw off the slope value. Annualizing the exponential slope will let you see how much percentage you will make in a year if the price continues at its current pace. The annualized number is the number of trading days in a year. This and the length might need adjusting for the extra bars that might be in futures or other markets. The number does not have to be a year. For example, it can be a month if you set the number to 20 or so trading days to find how much you would make in a month if price continues at its current pace, etc. This can also be used as an alternative to relative strength or rate of change.

FRAMA Rate of Change Fractal Adaptive Moving Average Rate of Change. Use it with FRAMA

Rate Of Change - Absolute Value Measures the period's change in terms of the instrument's value (e.g. pip, dollar, etc) instead of as a percentage. I generally use it on a daily time frame with a period=1 to see how the current day's move compares with prior days' moves in order to gain a perspective into how this move ranks historically.