Indicator
Goldwave Trend & Extremes | Astral Vision Goldwave Trend & Extremes | Astral Vision 🌠💠
The Smoothed Moving Average reduces lag compared to a simple moving average while avoiding the whipsaw sensitivity of an EMA, making it particularly suited for trend-following applications where clean crossover signals matter more than immediate reaction to price.
By measuring the percentage spread between a fast and slow SMMA, this indicator produces a momentum oscillator that is both scale-independent and directly interpretable: positive spread means the fast average is leading the slow, confirming upward trend pressure; negative spread marks the inversion.
Three visualization modes expose different dimensions of the same underlying spread:
"SMMA Lines" plots the two averages directly on the price chart with a filled band between them
"Colored Candles" colors price candles by trend direction throughout the chart history
"Extremes" focuses exclusively on statistically significant spread deviations above and below configurable thresholds, filtering out the noise of the trend's middle ground.
Calculation ⚙️
`SMMA(src, length) = (SMMA × (length − 1) + src) / length`
Initialized with a standard SMA on the first bar. Two SMMAss of different lengths are computed and their percentage spread derived:
`Spread % = (Fast SMMA − Slow SMMA) / Slow SMMA × 100`
The spread oscillates around zero, with positive values indicating bullish trend alignment and negative values indicating bearish alignment. Overbought and oversold thresholds define the extreme zones where the spread has stretched beyond its typical range.
Plots 📊
Fast and slow SMMA lines on the price chart with a filled band between them (SMMA Lines mode)
Spread percentage oscillator in the indicator panel, colored by trend direction or extreme regime
Zero baseline in the panel
Overbought and oversold threshold lines in the panel (Extremes mode)
Fill between spread and zero baseline in non-Extremes mode
Fill between spread and overbought/oversold thresholds when breached (Extremes mode)
Candle coloring on the price chart by trend direction (Colored Candles mode)
Candle coloring by extreme regime only — neutral shown as black (Extremes mode)
Background highlight on the price chart when spread breaches either threshold (Extremes mode)
Inputs 🎛️
`Visualization Mode`: SMMA Lines, Colored Candles, or Extremes
`Fast SMMA Length`: period for the faster smoothed average (default 15)
`Slow SMMA Length`: period for the slower smoothed average (default 29)
`Overbought Threshold`: spread percentage above which the signal is considered extended (default 8.5)
`Oversold Threshold` : spread percentage below which the signal is considered compressed (default −7.0)
Colors 🎨
5 Astral Vision presets + custom override. Default: Futura. Positive color applies when the fast SMMA leads the slow; negative color applies when the slow leads. In Extremes mode, negative color marks overbought conditions and positive color marks oversold conditions.
Purpose 🎯
Standard SMMA crossover systems plot two lines and leave threshold definition entirely to the trader's judgment, with no built-in way to distinguish routine crossovers from structurally significant spread extremes. Most spread-based oscillators use fixed absolute thresholds that lose relevance as volatility regimes change.
This indicator separates the three most common use cases, trend following, momentum confirmation, and extreme detection, into distinct visualization modes that share the same underlying calculation, letting traders switch between analytical lenses without changing the indicator.
The percentage-based spread makes the oscillator scale-independent and directly comparable across all price levels and time periods, so a reading of +8.5% carries the same structural meaning whether Bitcoin is at $10,000 or $100,000.
Disclaimer ⭕️
It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision. Indicator
RSI Trend Dashboard + SMMA Channel OverlayAt its core, this script is an RSI trend framework designed to organize momentum into a compact dashboard that is easy to read at a glance, while also extending that same logic back onto the main chart through an optional SMMA-style channel overlay. Instead of treating RSI as just a single line crossing fixed levels, this script breaks it into a layered structure: current RSI state, higher-timeframe comparison, fast and slow RSI average relationships, and a summarized fast-vs-slow regime table view. The goal is not simply to show whether RSI is high or low but to create a cleaner way to read momentum alignment, trend agreement, and chart-side context from one unified engine.
The foundation of the script is the 5-row RSI trend strip. That strip is built to answer a practical set of questions quickly:
Is RSI in a bullish, bearish, or neutral zone?
Is chart RSI above or below its higher-timeframe RSI reference?
Is RSI above or below its fast average?
Is RSI above or below its slow average?
And is the fast average currently above or below the slow average?
That matters because momentum is often easier to interpret as a stack of relationships instead of as one isolated value. A single RSI print can be helpful, but RSI in relation to HTF RSI, fast structure, and slow structure often gives a better read on whether momentum is strengthening, weakening, or starting to rotate.
The added features here are not meant to feel bolted on. They are different ways of reading the same momentum structure. In this script, that includes:
➖ a 5-row trend strip
➖ a stabilized higher-timeframe RSI comparison
➖ fast and slow RSI average relation rows
➖ a fast-vs-slow summary row
➖ a compact dashboard table with current values, bar-to-bar deltas, and slope arrows
➖ an optional RSI-colored price candle overlay
➖ an optional Trend SMMA Channel Overlay on the main chart
➖ an optional smoothed OHLC4 price-average line used to color the channel
➖ optional bullish and bearish triangle markers derived from the overlay engine
The dashboard table is there to keep the same engine readable in a more precise format. The pane gives the fast visual impression. The table gives the actual current readings: rounded values, simple deltas, and short slope arrows so the trader can see not only where RSI and its companion series are, but whether they are currently improving, fading, or flattening. I like that combination because it keeps the script visual first, but still lets you confirm the details without needing to inspect each series manually.
The higher-timeframe layer is an important part of the script. Rather than leaving RSI fully isolated to the local chart, this indicator compares the chart RSI against the next logical higher timeframe so traders can quickly judge whether local momentum is aligned with broader context or starting to separate from it. The script uses SimpleCryptoLife’s HighTimeframeSampling library to stabilize that HTF reference series, which helps keep the higher-timeframe comparison cleaner and more reliable in live use.
The chart-side Trend SMMA Channel Overlay serves a different purpose. While the pane organizes RSI structure, the overlay projects a smoother trend context directly onto price using Wilder-style smoothed high and low boundaries, along with an optional smoothed OHLC4 price-average line. That creates a second way to read the same market: the pane shows internal momentum relationships, while the chart overlay helps show whether smoothed price-average behavior is pressing above the channel, below it, or back inside it. In other words, the pane gives the momentum-state view and the chart gives the price-structure view.
This script also uses auto timeframe length resolvers for the main chart-side overlay tools, which I think makes it more practical across different chart speeds. Instead of forcing users to constantly retune multiple lengths when moving from lower timeframes to higher ones, the script can automatically resolve separate preset lengths for the Trend SMMA channel, the OHLC4 price-average line, and the bullish/bearish triangle engine. Manual controls are still available, but the default design is meant to stay more adaptive and chart-friendly out of the box.
A practical way to think about it:
➡️ If RSI is strong, above HTF RSI, and above both fast and slow averages, momentum is generally aligned in the bullish direction.
➡️ If RSI is weak, below HTF RSI, and below both fast and slow averages, momentum is generally aligned in the bearish direction.
➡️ If the rows begin to disagree with each other, that often signals transition, cooling, or a market that is no longer moving with the same clean momentum structure.
➡️ If the Trend SMMA overlay is also pushing outside its channel in the same direction, that can help reinforce what the pane is already suggesting.
➡️ If the pane and chart overlay begin to disagree, that can be a useful sign that trend strength may be losing alignment.
This is not meant to predict reversals by itself, and I would not treat it as a stand-alone signal machine. The way I use it is more practical:
➖ to judge whether RSI momentum is aligned or mixed
➖ to compare local RSI behavior against higher-timeframe context
➖ to see whether fast and slow momentum structure are still confirming each other
➖ to keep pane-space momentum and chart-space trend context visually connected
That overall framing is very similar to the way my previous Chandelier and Heikin Ashi publishings were written: one central engine, then multiple companion layers that help interpret the same underlying structure rather than replacing it with unrelated tools.
Bar Replay is especially useful here. Watching the strip build one bar at a time makes it much easier to see when RSI shifts from neutral into directional territory, when chart RSI moves above or below its HTF reference, when the fast/slow relationship changes, and how the chart-side SMMA overlay responds as price-average behavior moves through the channel. Scripts like this are often easier to understand dynamically than from a single static screenshot.
Like most momentum tools, this works best with confluence. I would not use it in isolation. Structure, volume, support and resistance, price action, market regime, and higher-timeframe context all still matter. The value of this script is not that it replaces those tools. The value is that it gives RSI a more organized dashboard-style expression while also extending that same read onto the main chart through a cleaner trend overlay.
Credit where it’s due: this script uses SimpleCryptoLife’s HighTimeframeSampling library for the stabilized HTF reference, and portions of the Trend SMMA channel, OHLC4 price-average interaction, and bullish/bearish triangle logic were adapted from concepts used in SimpleCryptoLife’s open-source Price Action Trend work. I always want that lineage to be clear, especially when chart-side concepts have been reworked into a different script and broader dashboard framework.
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Trend Harmony🚀 Trend Harmony: Multi-Timeframe Momentum & Trend Dashboard
Trend Harmony is a sophisticated multi-timeframe (MTF) analysis tool designed to help traders identify high-probability setups by spotting "Market Harmony." Instead of flipping through charts, this indicator synthesizes RSI momentum and EMA trend structures from four different time horizons into a single, intuitive dashboard.
🔍 How It Works
The core philosophy of this indicator is that the most powerful moves happen when short-term momentum aligns with long-term trend structure. The script tracks four user-defined timeframes simultaneously.
1. The Trend Scoring Engine
The indicator evaluates the relationship between a Fast EMA (default 20) and a Slow EMA (default 50) across all active timeframes.
Bullish Alignment: Fast EMA > Slow EMA.
Bearish Alignment: Fast EMA < Slow EMA.
2. The Harmony Summary
At the bottom of the dashboard, the "Summary" status calculates the total "Harmony" of the market:
🚀 FULL BULL HARMONY: All selected timeframes are in a bullish trend.
📉 FULL BEAR HARMONY: All selected timeframes are in a bearish trend.
⚠️ CAUTION (Overbought/Oversold): Triggered when the market is in "Full Harmony" but RSI levels suggest the price is overextended (>70 or <30). This warns you not to "chase" the trade.
Neutral/Mixed: Timeframes are in conflict (e.g., 15m is bullish but Daily is bearish).
🛠 Key Features
Unified RSI Pane: View four RSI lines on one chart to spot divergences or "clusters" where all timeframes bottom out at once.
Dynamic Table: Real-time tracking of:
Price vs EMA: Instant visual (▲/▼) showing if price is above/below your key averages.
Smart RSI Coloring: RSI values turn Green during "Power Zones" (0–30 or 50–70) and Red otherwise.
Full Customization: Change timeframes (1m, 5m, 1H, D, etc.), EMA lengths, and RSI parameters to fit your strategy.
📈 Trading Strategy Tips
Wait for the Sync: The "Full Harmony" status is your signal that the "tide" is moving in one direction. Look for long entries when the status is Green and short entries when it is Red.
The Pullback Entry: When the summary says "Caution (Overbought)," wait for the RSI lines to cool down toward the 50 level before entering the trend again.
RSI Clustering: When all four RSI lines converge at extreme levels (30 or 70), a massive volatility expansion is usually imminent. Indicator
Multiple Smoothed Moving AveragesMultiple Smoothed Moving Averages (SMMAs)
This indicator displays up to 5 Smoothed Moving Averages (SMMAs) on your chart, providing a comprehensive view of multiple trend timeframes simultaneously.
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WHAT IS A SMOOTHED MOVING AVERAGE?
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The Smoothed Moving Average (SMMA), also known as the Running Moving Average (RMA), is a type of moving average that provides more smoothing than a Simple Moving Average (SMA).
Unlike SMA which gives equal weight to all values in the period, SMMA uses a recursive formula that gives more weight to previous SMMA values, resulting in:
- Smoother price action with less noise
- Slower response to recent price changes
- Better identification of longer-term trends
- Reduced false signals in choppy markets
CALCULATION METHOD:
- First value: Simple Moving Average of the initial period
- Subsequent values: (Previous SMMA × (Length - 1) + Current Price) / Length
This recursive nature makes SMMA particularly effective for identifying sustained trends while filtering out short-term volatility.
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FEATURES
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✓ 5 Independent SMMAs: Each with its own configurable period length
✓ Individual Toggles: Show/hide each SMMA independently
✓ Distinct Colors: Easy visual identification of each moving average
✓ Customizable Lengths: Adjust each period to match your trading strategy
✓ Shared Source: All SMMAs calculate from the same price source (default: close)
✓ Overlay Display: Plots directly on the price chart
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DEFAULT SETTINGS
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- SMMA 1: 30 periods (Blue)
- SMMA 2: 50 periods (Orange)
- SMMA 3: 100 periods (Green)
- SMMA 4: 200 periods (Purple)
- SMMA 5: 300 periods (Red)
All SMMAs are enabled by default.
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HOW TO USE
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TREND IDENTIFICATION:
- Price above all SMMAs = Strong uptrend
- Price below all SMMAs = Strong downtrend
- Price between SMMAs = Transitional phase or consolidation
SUPPORT & RESISTANCE:
- SMMAs often act as dynamic support in uptrends
- SMMAs often act as dynamic resistance in downtrends
- Longer-period SMMAs (200, 300) provide stronger S/R levels
CROSSOVER SIGNALS:
- Faster SMMA crossing above slower SMMA = Bullish signal
- Faster SMMA crossing below slower SMMA = Bearish signal
MULTIPLE TIMEFRAME ANALYSIS:
- Short-term trends: 30, 50 periods
- Medium-term trends: 100 periods
- Long-term trends: 200, 300 periods
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CUSTOMIZATION
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INPUTS TAB:
- Adjust each SMMA length to suit your trading timeframe
- Toggle individual SMMAs on/off using checkboxes
- Change the source (close, open, high, low, hl2, hlc3, ohlc4)
STYLE TAB:
- Modify line colors for each SMMA
- Adjust line thickness and style
- Change transparency levels
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NOTES
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- This indicator uses the mathematically correct SMMA calculation with the recursive formula
- All calculations are performed on every bar to ensure data consistency
- SMMAs respond more slowly than EMAs but faster than WMAs to price changes
- Best used in combination with other technical analysis tools
- Use on any timeframe
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Perfect for traders who want a clear, multi-timeframe view of market trends using the smooth, reliable SMMA calculation method. Indicator
EMA KitEMA Kit delivers multiple 1D EMA's wrapped into a single indicator.
I was annoyed with having a bunch of EMA indicators on the left side of my chart for each individual EMA I rely on, so I created a single indicator with all of them.
This EMA kit allows you to select any combination of the following EMA's: 3D, 5D, 8D, 21D, 34D, 50D, 100D, 200D, and 200W. They are all based on the 1D timeframe regardless of the timeframe you're currently viewing on your chart - for example, if you toggle from a Daily chart to a 15 minute chart, the EMA's won't change to reflect the 15 minute timeframe. EMA Kit smoothes the lines to prevent staggering on lower timeframes. You can change the color scheme and line thickness and even toggle between different line types like area, histogram, etc. You also have the option to turn end-of-line price labels on/off. Current price level for each EMA is highlighted on the price scale. Indicator
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Moving Averages By MoneyTribe21This custom indicator displays three Smoothed Moving Averages (SMAs) designed to help traders identify market trends, potential reversals, and key support/resistance levels. It is ideal for trend-following strategies, momentum trading, and confirming price direction in various timeframes.
Three Smoothed Moving Averages to track short-term, mid-term, and long-term trends:
21-Day SMA: Captures short-term price momentum and trend direction.
50-Day SMA: Represents the mid-term trend, often used as dynamic support/resistance.
200-Day SMA: The long-term trend filter, commonly watched by institutional traders.
Fully Customizable Settings
Adjust period length for each SMA to fit your strategy.
Modify line colors, thickness, and styles for better visibility.
Enable/disable specific SMAs based on preference.
Works Across All Markets
Compatible with Forex, Stocks, Commodities, Crypto, and Indices.
Supports multiple timeframes (1M, 5M, 1H, Daily, Weekly, etc.)
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ROC + SMI Auto Adjust
This indicator combines the Rate of Change (ROC) and the Stochastic Momentum Index (SMI) with automatically adjusted parameters for different time frames (short, medium, long). It normalizes the ROC to match the SMI levels, displays the ROC as a histogram and the SMI as lines, highlights overbought/oversold zones and includes a settings table. Ideal for analyzing momentum on different time frames.
Key Features:
Automatic Parameter Adjustment:
The script detects the current chart time frame (e.g. 1-minute, 1-hour, daily) and adjusts the parameters for the ROC and SMI accordingly.
Parameters such as ROC length, SMI length and smoothing periods are optimized for short, medium and long term time frames.
Rate of Change (ROC):
ROC measures the percentage change in price over a specified period.
The script normalizes the ROC values to match the SMI range, making it easier to compare the two indicators on the same scale.
The ROC is displayed as a histogram, where positive values are colored green and negative values are colored red.
Stochastic Momentum Index (SMI):
SMI is a momentum oscillator that identifies overbought and oversold conditions.
The script calculates the SMI and its signal line, plotting them on the chart.
Overbought and oversold levels are displayed as dotted lines for convenience.
SMI and SMI Signal Crossover:
When the main SMI crosses the signal line from below upwards, it may be a buy signal (bullish signal).
When the SMI crosses the signal line from above downwards, it may be a sell signal (bearish signal).
Configurable Inputs:
Users can use the automatically adjusted settings or manually override the parameters (e.g. ROC length, SMI length, smoothing periods).
Overbought and oversold levels for SMI are also configurable.
Parameter Table:
A table is displayed on the chart showing the current parameters (e.g. timeframe, ROC length, SMI length) for transparency and debugging.
The position of the table is configurable (e.g. top left, bottom right).
How it works:
The script first detects the chart timeframe and classifies it as short-term (e.g. 1M, 5M), medium-term (e.g. 1H, 4H) or long-term (e.g. D1, W1).
Based on the timeframe, it sets default values for the ROC and SMI parameters.
ROC and SMI are calculated and normalized so that they can be compared on the same scale.
ROC is displayed as a histogram, while SMI and its signal line are displayed as lines.
Overbought and oversold levels are displayed as horizontal lines.
Use cases:
Trend identification: ROC helps to identify the strength of the trend, while SMI indicates overbought/oversold conditions.
Momentum analysis: The combination of ROC and SMI provides insight into both price momentum and potential reversals.
Time frame flexibility: The auto-adjustment feature makes the script suitable for scalping (short-term), swing trading (medium-term) and long-term investing.
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On Balance Volume with Cross DetectionThis indicator enhances the On Balance Volume (OBV) indicator by detecting and visually highlighting crossovers and crossunders between the OBV and its smoothed moving average. The script colors the background of the chart to make these key events more noticeable: red highlights a bearish crossunder when the OBV crosses below the smoothed OBV, while green marks a bullish crossover when the OBV crosses above the smoothed OBV. By focusing on these significant interactions, the script provides traders with a clear visual cue to help identify potential buying and selling opportunities based on the relationship between OBV and its smoothed trend.
This script offers several customizable features to suit different trading preferences. The main editable parameter is the type of moving average used to smooth the OBV: you can choose from options such as Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (RMA), Weighted Moving Average (WMA), or Volume Weighted Moving Average (VWMA). The length of the moving average can also be adjusted to better match the trader’s desired sensitivity, with the default set to 14 periods. These options allow traders to tailor the script to their preferred smoothing method and time frame, making it a flexible tool for a variety of strategies. The ability to switch between different moving averages and adjust their lengths ensures that the script can be adapted to various market conditions and trading styles.
This indicator enhances the analysis of the On Balance Volume (OBV) indicator by visually highlighting key crossovers and crossunders with its smoothed moving average. With customizable settings for different moving averages and lengths, traders can tailor the script to their specific strategies. By offering clear visual cues through background coloring, it helps quickly identify potential buy and sell signals. When combined with other technical analysis tools, this script can further improve trading decisions by providing additional context and confirmation, allowing traders to create a more robust and comprehensive trading strategy.
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ALMA Smoothed Gaussian Moving AverageThis indicator is an altered version of the Gaussian Moving Average (GMA) (Credit to author: © LeafAlgo ). The GMA applies weights to the prices, giving more importance to the values closer to the current period and gradually diminishing the significance of older prices. The ALMA Smoothed Gaussian Moving Average (ASGMA) applies an ALMA smoothing to its price data to minimize lag and provide a more accurate representation of the underlying trend by dynamically adapting to changing market conditions. The Arnaud Legoux Moving Average (ALMA) is a specialized smoothing technique that adjusts the weights of the moving average based on market volatility. Its calculation uses Wavelet Transform techniques which enables this type of smoothing to capture both high-frequency and low-frequency components of a signal or data. The rationale for this mashup between ALMA and Gaussian filtering is to smooth the moving average line over the smoothed price data and produce stronger trend signals.
ASGMA serves as a trend-following indicator, identifying both bullish and bearish trends. It provides buy and sell signals indicated by "B" and "S" labels plotted alongside the price data. Additionally, the ASGMA's Exponential Moving Average (EMA) line alternates between green and red, indicating bullish and bearish momentum, respectively.
The ASGMA also incorporates two popular momentum indicators, the Relative Strength Index (RSI) and the Chande Momentum Oscillator (CMO). The inclusion of these indicators aims to enhance trend identification and reversal signals. For a strong buy signal, all three indicators (RSI, CMO, and ASGMA) must indicate bullish conditions, resulting in a vertical green line. Conversely, a vertical red line is plotted when all indicators indicate bearish conditions, representing a strong sell signal.
The ASGMA, with its unique combination of smoothing techniques and indicator amalgamation, provides traders and investors with powerful analytical tools. It can be applied in trend-following strategies using the regular buy and sell signals generated by labels and the EMA line. Alternatively, the vertical lines offer stronger buy and sell signals. These features aid in identifying potential entry and exit points, thereby enhancing trading decisions and market analysis. However, it is important to remember that the future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance. Indicator
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Market Bias (CEREBR)Hello Everyone. I hope you are all doing great. It's been a long time since I posted my first script here, and I got a lot of response from that.
So, I thought I should share this script also to everyone, and anyone that may find it useful. Personally, I use it to tell the general market conditions.
Here's how I works : The script tries to determine the overall direction of the market, using smoothed Heiken Ashi candles. The coloring system (using bright and dark colors) is an attempt to detect strong market and weak market conditions. There's also an oscillator within the script, but for now it isn't plotted. Credits to @jackvmk, I used part of his open-script code in this indicator.\
I have considered using the slope of the indicator plot as a filter for ranging market conditions. The plot goes relatively flat in 'flat' markets. However, I have not done anything about that yet. Maybe some other time.
I hope you find this useful. If you find a way to use this, please share it with the community in the comment section.
NOTE: THIS IS BY NO MEANS FINANCIAL ADVICE. You'll have to make your studies and come up with a way to apply this indicator to your trading style and strategy.
By the way, I would be going with the name 'CEREBR' for any subsequent scripts I release from now on.
Happy Trading, guys. Indicator
