Sumon Pal Momentum and Volume StrategyThis is a momentum and volume based strategy.
1. Barcolor is GREEN -> When Momentum is in green region and Volume is also in green region
2. Barcolor is RED -> When Momentum is in red region and Volume is in red region.
3. Barcolor is YELLOW -> Volume and Momentum is not going in same direction. Staying away from trading is good in this scenario.
Blue Star -> Long signal when Volume and Momentum both turns green.
Entry -> Closing (as per your desired timeframe) above High + 50% range of the signal bar.
Initial StopLoss -> As marked in the chart (ATR based SL)
Exit --> Two Approaches. Also check the 4th point in "Word of Caution"
1. Approach 1
a) 50% position can be liquidated at Target 1. Rest Stop Loss at entry price
b) 50% of rest position t target 2. Rest stop loss at target 3
c) Book all at target 3
2. Approach 2
a) Trail previous bar Trailing Stop Loss as marked in the chart.
As per your timeframe, you can follow ATR based trailing method
Red Star -> Short signal when Volume and Momentum both turns red.
Entry -> Closing (as per your desired timeframe) below Low - 50% range of the signal bar.
Initial StopLoss -> As marked in the chart (ATR based SL)
Exit --> Two Approaches. Also check the 4th point in "Word of Caution"
1. Approach 1
a) 50% position can be liquidated at Target 1. Rest Stop Loss at entry price
b) 50% of rest position t target 2. Rest stop loss at target 3
c) Book all at target 3
2. Approach 2
a) Trail previous bar Trailing Stop Loss as marked in the chart.
As per your timeframe, you can follow ATR based trailing method
Targets plotted in the chart are projected target only based on signal bar ATR. There is no guarantee that target will be met. Exit is more important than entry. In real time, we need to find out which one is best to exit if trade goes in our favor. In a rangebound market, we can consider booking profit near major previous swing, previous day high/low etc. In a trending market we can simply trail. So, exiting is more dependent on the market structure rather than labels plotted on the chart.
To make the chart net & clean, historical signal's entry/exit levels are not marked, only the recent entry/exit labels are plotted.
Fine tuning the entry->
a) You can use momentum and volume osc to check if the current signal is being supported by the momentum & volume osc or not.
b) If any positive divergence is observed in oversold region and signal is generated, don't miss the trade. Similar is applicable in overbought region.
c) If the signal/entry is around price range breakout level followed by volume and momentum support, probability of success is higher.
Word of Caution->
1. Be extra cautious on long in momentum indicator overbought zone.
2. Be extra cautious on short in momentum indicator oversold zone.
3. Ignore signals when Volume & Momentum Osc are flat and not showing any direction
4. Whipsaws could be there in rangebound market. To avoid that I follow the below process:
a) No fresh buy in first 15m (if timeframe is below 5m)
b) after 15m, mark the high low of first 15m min, ignore signals within the first 15m range
c) after 30m, mark the high low of first 30m min, ignore signals within the first 30m range
d) after 60m, mark the high low of first 30m min, ignore signals within the first 60m range
e) if price is within first hour opening range then any sell signal near opening range high can be traded subject to confirmation from volume and momentum. Target
can be near opening hour low. Same for buy signal. But this kind of trade is RISKY and advisable to avoid.
5. Refer only intraday signals for timeframe below 1hr. If signal was generated previous day and gets confirmed today, then do not trade.
6. Look for divergences in momentum osc and manage your current position accordingly.
7. On expiry day(NIFTY/BANKNIFTY), I avoid this strategy because on expiry day generally volatility is high and entry/stop loss is sometime far away.
Lastly, wait for the closing above/below the entry price along with momentum and volume confirmation and follow stop loss religiously.
Disclaimer: Trading in equity is risky. Asses your risk profile before trading. Asses your risk profile and trade by managing proper risk. Backtest this strategy before putting real money in this strategy.
HAPPY TRADING.
"momentum" için komut dosyalarını ara
RSI + DivergencesHi Guys,
This indicator gives you the trend changes (Designed with the basics of Vash's RSI advanced and the Fikira divergence indicator)
This indicator will only give you regular divergences.
Please keep in mind that a trading plan is not only built with momentum but also with location and structure.
Good trading,
GA - Momentum DivergencesGA Momentum Divergences Script highlights Trend Strength, Overbought-Oversold Conditions, Regular-Hidden Divergences. Besides, it shows the Buying-Selling Pressure.
The practical use of any Momentum Curve helps in the comprehension of:
Supply-Demand Absorption.
Thrusts and their shortening.
The reversing and the continuation of the trend.
True Strength of the Trend.
Price Strength.
Increase and Decrease in Buying-Selling Pressure.
You choose which curve to show, according to your needs. There are 2 groups of curves.
Momentum Curves
GA Momentum.
Commodity Channel Index ( CCI ).
Relative Strength Index ( RSI ).
Stochastic %K.
True Strength Indicator ( TSI ).
Money Flow Curves
GA Money Flow.
Chaikin Money Flow.
Money Flow Index.
Every Curve used in this script has 0 as center. This means that RSI and Stochastic Curves wave around 0 and not around 50.
Fractal Algorithm for Pivots and Divergences
GA Momentum script highlights Divergences. This is possible by the Fractal Calculation of Pivot Points .
The sensibility of the algorithm depends on the look back and on the look forward of pivot points . This means that it does not highlight every divergence. But it marks divergences according to settings.
Besides, the interpretation of those divergences depends on the experience of the trader.
This feature has a particular use for the purpose to simplify and optimize. Besides, it is a very important feature provided by the GA Money Flow script.
Regular and Hidden Divergences highlight the weakening and strengthening of the price behavior. They give an anticipation to price changing. Besides, they enforce the judgment on the condition that marks the price continuation.
The Fractal Algorithm can also mark a Channel. This happens enveloping the Curve between its marked pivot points .
Flags and lines mark Divergences in the Curve. GA Momentum Divergences highlights Regular Divergences and Hidden Divergences.
Price and Momentum, Volume and Money Flow
The GA Momentum script works with any marketplace. It uses price variations and volume variations, according to needs and market.
Every curve available in the script is a mathematical discretization of the market. But in those marketplaces that includes the volume you can use Money Flow Curves. Where the volume is missing the Money Flow Curves return zero. In this case, a Momentum Curve is the right choice because it uses the price variations.
GA Momentum and GA Money Flow are formulas built for this script. They include several peculiarities that are a privilege of other functions. This gives a better visual impact by their practical use.
TSI Curve or RSI Curve are the right choices to replace Money Flow Curves where the volume is not available. In the same way, RSI Curve can replace the TSI Curve for the Trend Strength. Then, the RSI Curve is universal. It works on any marketplace giving a lot of information, using it in the right way.
RSI is a slow curve. It waves above and below the middle line, according to the bullish and bearish trend . This is why it incorporates the Trend Strength in its calculation.
Instead, other choices give Faster Momentum Curves that give different advantages and peculiarities. The final result and purpose do not change.
Market Conditions
Overbought and Oversold Conditions could not cause the immediate reversing of the trend. The changing occurs according to Thrusts and their shortening.
This happens by one or more rebounds in the price action. Indeed, this marks hesitation to continue the advancing or the declining of the price.
The Momentum Curve can highlight the absorption of Supply Pressure and Supporting Demand. This precedes the Climactic Point so as a Thrust during the advancing or declining of the price.
True Strength and Money Flow curves follow the trend. They show where the trend is weakening or strengthening.
When these curves rise together with the trend, this confirms the trend. Instead, when these curves hesitate, they are marking a changing.
TSI and Money Flow have advantages. They show the continuation of the trend by its positive or negative value. Besides, they show the shortening of the trend. Moreover, the curve anticipates the shortening of the thrust.
Money Flow Curves highlights the prevailing of Buying Pressure of Selling Pressure. This is possible because their formulas includes the volume . But the TSI discretization that uses prices, works giving a fair result.
This returns an unconditional conclusion. The volume has a high relevance because of the correlation between effort and result. But despite this, the mathematical discretization of the market can work without it.
Short and Long Signal Lines
The GA Momentum plots 2 extra curves to support the market momentum interpretation. They are Exponential Moving Average applied to the momentum curve.
The Short Signal Line follows the main curve and it gives the first crossing for an entry signal. Of course, this is useful only when there are the right condition for an entry point.
Instead, the Long Signal Line exists to be a trending indicator. When the main curve is approaching it, rebounds, the shortening of the thrust, can mark a changing. Following the thrust, these curves become closer and closer for some waves. This becomes better visible by the plotting of the Histogram.
The Histogram shows the difference between the main curve and the Long Signal Line. The distance between those curves becomes relevant and helpful in many circumstances. This highlights the changing in the Strength or Weakness of the trend.
Short and Long Signal Curves can have a partial plotting. This reduces the impact of those curves on screen. The script can show them only when they give a relevant visual impact for the trading practice.
Coloring
GA Momentum Script colors curve and price bars. It highlights conditions where the price is Overbought or Oversold. But it highlights also divergences with labels and colored lines.
The script plots colors on bars with extended prices. Besides, the script plots colors on bars that are the ending of divergences
GA Momentum script colors the price bars using the same criteria applied to color curves. Color used on the Curve are the same used on the price bars.
True Strength Curve and Momentum Curves color price bars. This happens for the entire Trend Strength. Then the prevailing of the Buying Pressure or Bearish Pressure is also visible on bars. This occurs by the persistent green or red colors according to Pressure and Trend.
Alerts
GA Momentum provides 2 alerts for Bearish and Bullish Signals. Both uses the crossing of Short and Long Signals in the same direction.
Note: I restrict access to the tool.
Regards
Girolamo Aloe
Founder of Profiting Me
ZenTrading Momentum_v3.1This is a script for beta testing only.
wave momentum oscillator, with volatility and divergence detection and short term and long term reversal signals reversal signals. Mainly used to signal reversals (major and minor), to be used in conjunction with Trend, CyclePhase and Volume indicators
Trend MeterUse as a supplementary Indicator to confirm your entries, but it is as good on it's own.
When you first apply the indicator to your chart make sure you shrink it down It looks a lot better that way
The indicator consists of 3 different Trend Meters and a Trend Bar which are used to confirm trend
As a bonus Possible Momentum Setup entries based on Stochastics are marked as well, these are very Powerful however please use with caution
How to Use
The more Trend meters are lit up the better
Look for Support or Resistance Levels for price to be attracted to
Find confluence with other indicators
Enter Long above the Setup Bar
Enter Short Below the Setup Bar
Turtle IndexThis Indicator is a combination of Super Smoother Filter and Bollinger Bands %B.
This Indicator is used in Trend-Momentum gauging. Use this indicator with Turtle Oscillator.
Pulse Profits+ Study v2.0Here is the updated version of our Pulse Profits+ study based on the combination of the Chande Momentum Oscillator and Elder's Force Index . This version was updated to include stop-loss and improved signals
Red background highlights mark sell signals and green highlights represent buy signals. All signals are accompanied by corresponding alerts that can be tailored for the various automated trading platforms.
All indicators can be found on our website in the bio and come with their strategy equivalents
Double Stochastic DivergenceSame as my protected script but you can now see the code
This Study plots divergences and overlays a second %K as a fractal and changes the color of %D for the non fractal
Option to use Stochastic RSI for Fractal
Background Shading according to trend
Feel Free to change the indicator values to suit your style / system
The divergence script is thanks to @RicardoSantos, I've just adjusted it to suite my indicator
Remember that divergences work best when traded with the trend or very late in a trend when going against the trend
Common value for %K is 5, I have chosen 3 as it gives faster entries when using multiple time frames
If you are not using a momentum indicator as a trailing stop and using only cycle indicator
then I would recommended %K be 4 for exits
NFTs vs SOL - Momentum Divergence DetectionNFTs vs SOL – Momentum Divergence Detection:
See when NFT activity (proxy volumes) leads or lags SOL momentum.
This is an indicator that I designed to compare Solana’s price momentum with aggregated NFT market activity. It converts both into standardized z-scores for direct comparison, then measures their divergence. The resulting signal highlights when NFT trading activity begins to move ahead of, or behind, SOL price action.
Core Function:
• Measures SOL’s momentum using Rate of Change (ROC), then standardizes and smooths it.
• Combines multiple NFT-related token volumes (BLUR, LOOKS, TNSR, MAGIC, APE, optionally ME and PENGU), applies log normalization, weighting, and smoothing to form a composite NFT activity score.
• Plots their difference (NFT Z − SOL Z) as a histogram to visualize lead/lag phases.
Interpretation:
• div > 0: NFT activity exceeds SOL momentum → potential early signal for upside.
• div < 0: NFT activity trails SOL momentum → possible cooling or lag.
• Zero-line crosses: indicate leadership changes between NFTs and SOL.
On-Chart Visualization:
• Orange histogram: divergence (lead/lag strength).
• Purple line: NFT composite z-score.
• Blue line: SOL momentum z-score.
• Green/Red markers: lead or lag signals.
• Top-right table: rolling correlation and active proxies.
Usage:
Apply to 30m–1D charts.
Enter exchange-prefixed NFT tickers (e.g., KUCOIN:BLURUSDT).
Adjust weights to emphasize liquid tokens.
Interpret lead/lag crosses within the broader market structure, using trend and volume as confirmation.
Recommended Presets:
• Swing trading: 1D or 4H charts, smoother settings for stability.
• Active setups: 2H or 1H charts, lower smoothing for responsiveness.
Key Notes:
• Requires valid tickers and sufficient lookback history.
• Use crosses as context, not direct trade signals.
• High correlation = synchronous behavior; low correlation = decoupled regime.
Summary:
A contextual radar for Solana traders tracking NFT market flow. It helps identify when NFT trading activity begins leading or lagging SOL’s momentum which often signals shifts in speculative energy and trend strength.
Copyright © 2025 imaclone (Zen Silva). All rights reserved.
License: Private. No copying, sharing, or derivative works.
Squeeze Momentum with ADX Filter and Multi-Cycle WavesTitle:
Squeeze Momentum with ADX Filter and Multi-Cycle Waves
Description:
This indicator integrates three well-established technical analysis methodologies into a single oscillator to help traders assess volatility compression, trend strength, and cyclical momentum alignment:
Squeeze Momentum (TTM-style) – Based on Bollinger Bands and Keltner Channels, it identifies periods of low volatility ("the squeeze") followed by directional breakouts. The histogram reflects momentum using linear regression relative to a dynamic centerline. Positive values indicate upward momentum; negative values indicate downward momentum.
ADX with DI+/DI- (Welles Wilder, 1978) – The Average Directional Index is dynamically scaled to match the visual range of the Squeeze histogram. A user-defined Key Level (default: 32) serves as a reference threshold: when ADX rises above this level, it suggests a strong trend is present. DI+ (green) and DI- (red) show directional bias.
Multi-Cycle Waves (55/144/233) – Inspired by adaptive cycle analysis and MACD-style oscillators, these smoothed momentum waves help identify confluence across multiple timeframes. They are optional and appear as shaded areas when enabled.
Key Features:
The Squeeze Momentum Line appears as black/gray crosses at the zero level, indicating momentum polarity without visual clutter.
The Key Level is shown as a thick gray horizontal line, representing the ADX threshold in the scaled oscillator space.
ADX is plotted with increased line width (3) for better visibility.
All components are dynamically scaled to share the same vertical axis, enabling direct visual comparison.
Attribution:
Bollinger Bands: John Bollinger
Keltner Channels: Chester Keltner
Squeeze concept popularized by Linda Raschke and John Carter
ADX/DI system: J. Welles Wilder Jr.
Multi-cycle wave logic: inspired by John Ehlers’ work on market cycles
Integration, scaling logic, and visualization: © Carlos Mauricio Vizcarra (2025)
This script is published under the Mozilla Public License v2.0. It is open-source, non-promotional, and designed for educational and analytical use only. No investment advice is provided.
FX Strike — RSI Momentum PanelDescription:
The FX Strike RSI Panel provides a momentum filter for the FX Strike system, using the classic RSI with enhanced visuals.
RSI (14): Standard calculation with clear signals.
50 Midline: Momentum bias filter (above = bullish, below = bearish).
30/70 Zones: Overbought and oversold regions for context.
Colored RSI Line: Teal when bullish, orange when bearish.
Alert Conditions: Triggers when RSI crosses above or below the 50 mid-line.
How to Use:
In trend trading, only take longs if RSI is above 50 and shorts if RSI is below 50.
Use divergences (price vs RSI) to spot early signs of weakening momentum.
Combine with the FX Strike Overlay for a complete 4-pillar strategy (Trend, Volatility, Momentum, Volume).
MasterEdge v4 — Trend & Momentum Presets with Filters & ATR RiskMasterEdge v4 — Trend & Momentum with Filters & ATR Risk
MasterEdge v4 is a multi‑timeframe trend and momentum indicator designed to help you stay on the right side of the market while controlling risk. It combines two classic signal engines—Donchian channel breakouts (à la Turtle Traders) and moving‑average crosses—with a suite of filters and risk tools to reduce false signals and keep you disciplined.
## Core features
- **Auto/manual presets:** Automatically adjusts look‑back lengths and thresholds based on the instrument (crypto, forex, indices, etc.) and chart timeframe, or lets you set them manually.
- **Higher‑timeframe bias:** Uses a non‑repainting higher‑timeframe EMA to determine whether the market is trending up or down and gates signals accordingly. You can choose the HTF yourself or let the auto‑engine pick one.
- **Dual signal modes:**
- *Donchian (Turtle)* mode enters on breakouts of an N‑bar channel and exits on a shorter channel.
- *MA Cross* mode buys when a fast EMA/SMA crosses above a slow EMA/SMA and sells on the opposite cross.
- **Advanced filters:** RSI momentum and ADX trend‑strength filters help avoid trades during choppy conditions. Optional volume and HTF‑slope filters require participation and higher‑timeframe momentum. A configurable **quality score** combines these filters so you only take higher‑probability setups.
- **ATR risk rails & position sizing:** Visual stop‑loss and target rails are calculated from ATR to adapt to volatility. An optional position‑size suggestion uses your account size and risk percentage to estimate how much to trade (for informational purposes only).
- **Session gating & status table:** Restrict signals to specific trading sessions. A live table shows your current settings, filter status, quality score and recommended position size, so you always know why a signal fired—or didn’t.
- **Alerts:** Separate long and short alerts with static JSON payloads let you hook the indicator into your notification or webhook workflow.
## How to use
1. **Select auto or manual:** Use the *Preset Mode* input. Auto mode adjusts lengths and thresholds to the ticker and timeframe; manual mode lets you set them explicitly.
2. **Choose a signal mode:** Pick between Donchian breakout or MA cross. Donchian is often better for lower‑timeframe breakouts; MA crosses smooth out noise on higher timeframes.
3. **Enable filters:** Turn on RSI, ADX, volume and/or slope filters and set your desired quality‑score threshold. Higher thresholds yield fewer, cleaner signals.
4. **Define risk:** If you want visual risk guides and position‑size suggestions, leave ATR rails on and input your account size, risk percentage and value per point.
5. **Timeframe pairing:** For intraday trading, try a 5 min chart with a 60 min bias; for swing trading, use a 1 h chart with a 4 h bias. The auto‑engine selects sensible higher‑timeframe defaults, but you can override them.
6. **Confirm signals:** The indicator plots green triangles below bars for long signals and red triangles above bars for short signals. The status table updates each bar with filter states and whether a signal is active.
**Disclaimer:** This script is for educational and analysis purposes only and is not financial advice. Always test on a demo account before trading live and tailor the settings to your strategy, risk tolerance and market behaviour.
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Momentum Panel
The YBL_LUXE Squeeze Momentum Panel is an advanced tool that combines momentum analysis with a squeeze detector, giving traders a precise view of when the market is contracting and when it may explode into strong directional moves.
🔎 How it works
Momentum Histogram:
Green/Blue bars → Strong bullish pressure.
Red/Orange bars → Strong bearish pressure.
Fading colors → Weakening momentum.
Squeeze ON/OFF signals:
Black dots (ON) → Market is in compression (Bollinger Bands inside Keltner Channels).
Yellow dots (OFF) → Compression is released, possible breakout coming.
⚡ Key Benefits
Detects accumulation phases and breakout conditions.
Highlights true momentum and filters noise.
Clean and professional design, fully customizable.
Works on any asset or timeframe (stocks, indices, futures, forex, crypto).
🎯 Trading Tips
Watch for Squeeze ON (black dots) → the market is storing energy.
When dots switch to Squeeze OFF (yellow) → watch for a potential breakout.
Confirm direction with histogram colors:
Green/blue = bullish bias.
Red/orange = bearish bias.
🛠️ Settings & Customization
Adjustable histogram colors.
Squeeze dots ON/OFF colors.
Zero line visibility.
Histogram style customization.
👉 Ideal for scalping, day trading, and swing trading, this indicator gives you a powerful visual confirmation of market compression and expansion phases.
SAR Oscillator [Bellsz]Converts Parabolic SAR into a normalized oscillator with crossover signals, gradient fills, and trend strength levels. A cleaner way to read SAR momentum. Making it easier to read momentum shifts, trend strength, and reversals directly in the sub-chart. Instead of dots on price only, this tool converts SAR dynamics into a smooth oscillator that highlights bias and turning points.
What it shows
Normalized Price Line — scaled view of price relative to SAR.
Normalized SAR Line — SAR value normalized across the high/low range.
SAR Dots — visual cue when crossovers occur (potential reversal or trend acceleration).
Gradient Fill — color-coded background for quick read of momentum direction/intensity.
Guide Levels — ±50 baseline to track trend strength and overextension.
Why use it
Converts SAR into an oscillator format, easier to compare across instruments & timeframes.
Highlights momentum shifts early (crossovers, gradient flips).
Adds structure with gradient fill and baselines, making SAR more actionable than standard dot plots.
Works as a trend bias filter or confirmation tool alongside other indicators.
Inputs
Acceleration / Increment / Maximum — adjust SAR sensitivity.
Custom Colors — choose your scheme for price, SAR, and gradients.
Best practices
Use on intraday or swing TFs as a trend bias filter.
Look for Normalized Price crossing Normalized SAR as potential entry signals.
Watch how SAR dots cluster near ±100 for exhaustion or reversal signals.
Notes
This is a visual enhancement of SAR; it does not repaint.
Combine with volume, FVGs, or session models for added context.
RSI Momentum Divergence Zones [ChartPrime]⯁ OVERVIEW
RSI Momentum Divergence Zones is a hybrid oscillator and chart overlay tool that detects RSI-based momentum divergences and projects them as key zones on the chart. By combining RSI divergence logic with horizontal level plotting, this indicator reveals high-probability support and resistance areas where price has historically reacted to hidden or classic divergences.
⯁ KEY FEATURES
Momentum-Based RSI Source:
Instead of the classic RSI input, this tool uses the momentum of price as the RSI source:
rsiSrc = ta.mom(close, 10)
This emphasizes acceleration and deceleration of price moves, sharpening divergence signals and making them more responsive to early shifts in momentum.
Automatic Divergence Detection (Optional):
When enabled, the indicator continuously scans for:
— Bullish Divergence : Price makes a Lower Low while RSI forms a Higher Low
— Bearish Divergence : Price makes a Higher High while RSI forms a Lower High
It ensures divergence is valid by checking the spacing between pivots (min 5, max 50 bars).
Divergence Labels & Markers (RSI Pane + Chart):
When a valid divergence is detected:
— On RSI pane:
Labels appear at HL/LH points (“Bull” / “Bear”)
Colored lines show pivot structures
— On price chart:
Labels (“▲ Bull” / “Bear ▼”) mark price pivot that triggered the divergence
Lines highlight the exact price level at the divergence origin
Divergence Zones / Levels (Toggleable):
The indicator projects horizontal zones across the chart based on confirmed divergence points.
These levels dynamically extend as long as price respects them, and auto-expire once broken.
They act as S/R levels created by market imbalance caused by divergence reactions.
Dynamic Zone Extension Logic:
Once plotted, divergence levels will extend to the right:
— If price respects the level, the zone keeps growing
— If broken in the opposite direction, the level stops extending and turns dashed (visually showing break)
Zone Layering and Limit Control:
You can limit the number of simultaneous zones shown on the chart (e.g., 10 most recent).
Old zones automatically expire and are removed to keep the chart clean and focused.
Color Customization and Intensity:
Different colors for bullish and bearish zones let you easily distinguish trend direction.
Background fill, line width, and transparency are all adjustable.
Clean Zone Management with Arrays:
Behind the scenes, the script uses custom divLevel type arrays to manage plotted levels, ensuring they stay up-to-date, extend correctly, and delete once invalidated.
⯁ USAGE
Use bullish divergence zones as potential demand areas and bearish ones as supply zones.
Combine RSI pane labels with price-level zones to confirm strength of reversal.
Watch for price approaching a divergence level to anticipate reactions or breakouts.
Use divergence levels as trade triggers, stop-loss guides, or take-profit markers.
Limit signal count using the “Qty Divergence Zones” setting to reduce chart clutter.
Enable divergence detection only when you want to focus on key structural zones — ideal for swing or positional setups.
⯁ CONCLUSION
RSI Momentum Divergence Zones blends oscillator divergence logic with price action structure to uncover hidden strength or weakness in the market. With flexible zone plotting and clean visual signals, this tool empowers traders to identify where momentum turns into structure — turning hidden signals into tradable edges.
Bull Momentum GaugeBull Momentum Gauge
The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade.
What it Does
At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by:
Calculating the price's deviation from its 365-day moving average.
Normalizing this deviation into a Z-score to measure its statistical significance.
Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself.
The result is a single, smooth line that oscillates around a zero value.
How to Use It
The signals are simple and based on the indicator's relationship to the zero line:
Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run.
Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle.
This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
