Moving Average Convergence Divergence and MomentumMACD line is difference between 20 EMA and 100 EMA which measures the Longterm trend. If MACD line is above Zero trend is positive. If MACD line is below zero trend is negative. Strategy is classic Buy in uptrend Sell in Downtrend.
To Improve the entry timing MACD histogram is used as Momentum. Histogram is the difference between MACD line and 20 EMA of MACD line. And Hist Momentum is the 20 SMA of histogram.
Advantage of histogram is Smoothness and better reliability than other momentum indicators like RSI which is volatile.
If MACD line is above zero = Trend is positive
and Histogram is above its SMA = Momentum is also positive.
Buy Signal.
If MACD line is above zero = Trend is positive
and Histogram is below its SMA = Trend is positive but Momentum is losing.
Look for Support levels or Break out of support level.
If MACD line is below zero = Trend is Negative
and Histogram is Below its SMA = Momentum is also Negative.
Sell Signal.
If MACD line is Below zero = Trend is Negative
and Histogram is above its SMA = Trend is negative but momentum is improving
Look for Resistance levels or Break out of resistance level.
Cerca negli script per "momentum"
Overnight MomentumOvernight Momentum is an indicator designed to be used on stocks with the daily timeframe. It shows the total overnight return expressed as a % for the past 100 days by default, however this is a setting that can be changed by the user.
A lot of people don't realise that the vast majority of total stock market returns come from the overnight session, in fact research from the NY Times and plenty of other sources shows that since 1993 all of the returns from the S&P 500 Index $SPY have come overnight and cumulative intraday returns are actually in fact slightly negative. Furthermore, some stocks show much stronger overnight returns than others and at certain times too, generally speaking when the overall market is strongly trending up overnight returns are better. Research also shows that stocks that have good overnight return momentum tend to continue.
All this research lends itself to some trading strategies such as buy the close and sell the open on stocks with strong overnight momentum. The idea is to go through a screener of up-trending stocks each day and look for stocks with high readings above 30 on the Overnight Momentum Indicator, which means that the cumulative return for the past 100 days is above 30%. Then one could buy the closing price using a market-on-close order and then sell the next day using a market-at-open order, participating in the closing and opening auctions at stock exchanges which are the most liquid times of day with the most solid fills on offer. Some of the best returns from this overnight gap up strategy can come from smaller stocks with very strong short term momentum and prices that are closing near all time highs on days with much larger than usual volume.
This indicator can also be used to see which stocks have robust momentum overall, as sometimes there can be divergences between Overnight Returns and Total Returns, for example if the Overnight Momentum Indicator turned negative that could be a sign of a trend changing from bullish to bearish and vice versa. Generally speaking strong up-trending stocks are accompanied by strong overnight returns too.
Since forex, crypto and futures trade almost continuously it's not recommended to use this indicator on those markets, only use it on stocks which have clear closing and opening times in order for the indicator to measure overnight returns.
To get access PM or email me to my address shown below.
Enjoy :)
Disclaimer: All my scripts and content are for educational purposes only. I'm not a financial advisor and do not give personal finance advice. Past performance is no guarantee of future performance. Please trade at your own risk.
Electrified Aggressive Momentum SignalWhat this can be used for:
If you've already decided you want to trade a symbol, this can identify points of momentum alignment.
If a strong move has recently happened and you're looking for a change in momentum.
How it works:
This is a weighted combination of a Stochastic RSI and two modified SuperTrend (ATR Trailing Stop) indicators:
The Stochastic RSI signal is based upon aligned momentum and is negated at the overbought and oversold points.
The SuperTrend formula uses high and low values for calculation and both fast and slow can be adjusted for sensitivity.
Philosophy:
Signals have to be useful to humans. If a signal occurs to late, you've missed it. The intent of this indicator is to assist in timing a trade at very short time-frames. It assumes your conviction about a trade already exists, but you are trying to get an optimal entry.
Opposing momentum (weak signal) within an uptrend can be a sign that you should wait before entering. The frequency of a signal can indicate the strength of the trend. As the frequency of the aligned signal value decreases so does the reward vs risk.
Ravih Pro Momentum BreakoutThis is a Momentum Breakout Strategy on “DAILY Timeframe”
This Breakout Strategy is specially created for Momentum Traders and for Bursa Market. The learning applied here are derived from past market behavioural approach. It takes into account of recent strength of price action and volume.
However, it can be applied for other Exchanges as well; as long as the stock is active with unusual volume.
The Momentum Set-Ups Script is designed for Short Term traders as in 3 to 60 Trading Days holding period or unless and until Exit Signal appears. Sometimes it could extend longer depending on the pace of the Momentum.
It also caters the aggressive traders as in Buy Today Sell Tomorrow/Today (BTST) and Fast in Fast Out (FIFO). These are traders...usually looking for 5% to 7% or 12% gain in a short span of time. However, do take note; momentum stocks are explosive in their moves. Therefore one could maximise the Gain Ride until Exit/Sell Signal appears.
The Script provides you the best High-Probability Profitable Set-Up Entry. The system identifies the stock/s in action Right Now. It is a powerful strategy for trading both Fast and Slow Momentum Stocks.
The Momentum Script is built around 3 Primary Factors namely…
1. Volume
2. Price Action
3. Time
And 2 Secondary Factors namely…
1. Volatility
2. Liquidity
Buy Exit/Sell Arrows are triggered based on last candle bar closed. It plots automatically.
For Long
Light Blue Up Triangle denotes Buy at the Closing Price. Entry Price is Closing Price or with + or – 2% tolerance for the following market day.
For Exit/Sell
Orange Down Triangle denotes Exit to close any remaining position to free up capital. Or...
Red Down Triangle denotes Exit to close any remaining position to free up capital.
Either one of the arrow is Final.
For Setting Up Alerts
The user has the option to Setup Alerts for chart signals that is…for Long and for Exit/Sell.
For Demonstrative purpose...
I have on purpose chosen an O&G counter from a Cold Sector from MYX. This is a time of Pandemic. Therefore, choosing Technology or Glove and Healthcare Sectors would definitely reflect good performance. The idea here is to demonstrate that the Momentum Strategy application works on all market conditions anytime of the year.
Remember...
This strategy is only built for stocks. It is Not for Indices neither for any other financial instruments.
No SHORT signals in this strategy.
[blackcat] L2 Ehlers Smoothed Adaptive MomentumLevel: 2
Background
John F. Ehlers introuced Smoothed Adaptive Momentum in his "Cybernetic Analysis for Stocks and Futures" chapter 12 on 2004.
Function
Smoothed Adaptive Momentum is to measure the Dominant Cycle period and then use that measured period to take a onecycle momentum. It really does matter if you measure the Dominant Cycle. The trend component is measured by taking the momentum across one full Dominant Cycle.
Key Signal
Mom ---> Smoothed Adaptive Momentum fast line
Trigger ---> Smoothed Adaptive Momentum slow line
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 28th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Vol%ChangeLike its companion study, Bar%Change , this is a visual study to hilight the change in volume by percentage. the percentages are calculated by the duration of the momentum. This study is not designed for automated trading.
The triangles show buys/sells on the basis of momentum. Buys occur below momentum, while sells occur above.
Percentages are shown in red if closing less then opening or closing less then previous closing, otherwise green.
Buying and selling changes in volume percentages are user configurable.
Improved CCI with Momentum OscillatorThis indicator is free to all Oasis Trading Group members.
The Improved CCI is a basic CCI with a momentum gauge applied to the zero line. This indicator is used to find breakouts/breakdowns and when they have lost momentum.
A bullish entry would be found when the CCI has broken the 100 line when the Momentum gauge is above zero or when the CCI has crossed above the -100 line when the Momentum gauge is above zero.
A bearish entry would be found when the CCI has broken the -100 line when the Momentum gauge is below zero or when the CCI has crossed below the 100 line when the Momentum gauge is below zero.
For Access or Questions: Private message us. Thank you.
Chande Momentum Oscillator ExhaustionThe Chande Momentum Oscillator Exhaustion is an essential replacement of the standard Chande Momentum Oscillator because it's able to identify and highlight hidden exhaustion momentum.
This indicator gives high probability in spotting trend reversal or trend continuation.
By identifying hidden exhaustion momentum, the Chande Momentum Oscillator Exhaustion indicator represents an essential support to the trader in effectively reading the market and having the best opportunities.
Hope you enjoy this free indicator made by yours truly. :)
DepthHouse BTC Momentum Oscillator [BTC MO]NOTE: Only Works on BTC.
All testing was done on 1hr Timeframe
This is a experimental indicator - use at your own risk.
DepthHouse BTC Momentum Oscillator is an advanced tool to help determine Bitcoin Market Momentum.
---BTC MO SIgnals---
Signal Line: Generally, if the Signal Line is greater than 0, then there is more bullish momentum in the market
Tops & Bottoms: Signals used to help spot where BTC momentum may have topped or bottomed out
Possible Divergences: Used to help spot possible reversals on continuous trends
---oh92's Preset Setting---
Scalper: (20,11,17,6) Very reactive settings that I use while day trading. However, faster settings generally increase the chance of false signals(20,11,17,6)
Swing Trader: (5,25,55,10) Greatly reduces noise for my longer time trades. Generally makes 'tops' and 'bottoms' more accurate. Which can be a huge advantsge in spoting an earnly trend reversal
Custom: Allows user adjustments of all settings
---Built-in-Alerts---
Tops
Bottoms
Bearish Divergences
Bullish Divergences
Signal Line Crossovers
Try this indicator for FREE! Just leave a comment, or feel free to send me a PM
B3 Buyer-Seller BreakoutsB3 Buyer-Seller Breakouts = If a bar is showing that it is moving in a direction with highs lows and close, all of which are >respectively< moving against the open from the bar before, then it prints indicating buyers or sellers bringing momentum. The arrows and cloud carry into the next bar to give lots of awareness of the micro-term momentum. The cloud represents the better price range from which to add to a position.
This study repaints within the bar, most of my indicators do not, but this one is about timing to get an edge on adding to your already in play position, becoming part of the needed momentum to hit profit targets faster. Also, this theory helps you add to winners, and if you never add to losers, you now have statistical odds in your favor. I got the idea for the study reading about turtle trader method and how that statistical edge is really why it works, always adding on every breakout. Keep in mind that I never buy or sell breakouts to initiate trades, only to scale in.
~Cheers!~ ~B3
Stefan Krecher: Jeddingen DivergenceThe main idea is to identify a divergence between momentum and price movement. E.g. if the momentum is rising but price is going down - this is what we call a divergence. The divergence will be calculated by comparing the direction of the linear regression curve of the price with the linear regression curve of momentum.
A bearish divergence can be identified by a thick red line, a bullish divergence by a green line.
When there is a divergence, it is likeley that the current trend will change it's direction.
Looking at the chart, there are three divergences that need to get interpreted:
1) bearish divergence, RSI is overbought but MACD does not clearly indicate a trend change. Right after the divergence, price and momentum are going up. No clear signal for a sell trade
2) bearish divergence, RSI still overbought, MACD histogram peaked, MACD crossed the signal line, price and momentum are going down. Very clear constellation for a sell trade.
3) two bullish diverences, RSI is oversold, MACD crossover near the end of the second divergence, price and momentum started rising. Good constellation for a buy trade. Could act as exit signal for the beforementioned sell trade.
More information on the Jeddingen Divergence is available here: www.forexpython.com
Neural Pulse System [Alpha Extract]Neural Pulse System (NPS)
The Neural Pulse System (NPS) is a custom technical indicator that analyzes price action through a probabilistic lens, offering a dynamic view of bullish and bearish tendencies.
Unlike traditional binary classification models, NPS employs Ordinary Least Squares (OLS) regression with dynamically computed coefficients to produce a smooth probability output ranging from -1 to 1.
Paired with ATR-based bands, this indicator provides an intuitive and volatility-aware approach to trend analysis.
🔶 CALCULATION
The Neural Pulse System utilizes OLS regression to compute probabilities of bullish or bearish price action while incorporating ATR-based bands for volatility context:
Dynamic Coefficients: Coefficients are recalculated in real-time and scaled up to ensure the regression adapts to evolving market conditions.
Ordinary Least Squares (OLS): Uses OLS regression instead of gradient descent for more precise and efficient coefficient estimation.
ATR Bands: Smoothed Average True Range (ATR) bands serve as dynamic boundaries, framing the regression within market volatility.
Probability Output: Instead of a binary result, the output is a continuous probability curve (-1 to 1), helping traders gauge the strength of bullish or bearish momentum.
Formula:
OLS Regression = Line of best fit minimizing squared errors
Probability Signal = Transformed regression output scaled to -1 (bearish) to 1 (bullish)
ATR Bands = Smoothed Average True Range (ATR) to frame price movements within market volatility
🔶 DETAILS
📊 Visual Features:
Probability Curve: Smooth probability signal ranging from -1 (bearish) to 1 (bullish)
ATR Bands: Price action is constrained within volatility bands, preventing extreme deviations
Color-Coded Signals:
Blue to Green: Increasing probability of bullish momentum
Orange to Red: Increasing probability of bearish momentum
Interpretation:
Bullish Bias: Probability output consistently above 0 suggests a bullish trend.
Bearish Bias: Probability output consistently below 0 indicates bearish pressure.
Reversals: Extreme values near -1 or 1, followed by a move toward 0, may signal potential trend reversals.
🔶 EXAMPLES
📌 Trend Identification: Use the probability output to gauge trend direction.
📌Example: On a 1-hour chart, NPS moves from -0.5 to 0.8 as price breaks resistance, signaling a bullish trend.
Reversal Signals: Watch for probability extremes near -1 or 1 followed by a reversal toward 0.
Example: NPS hits 0.9, price touches the upper ATR band, then both retreat—indicating a potential pullback.
📌 Example snapshots:
Volatility Context: ATR bands help assess whether price action aligns with typical market conditions.
Example: During low volatility, the probability signal hovers near 0, and ATR bands tighten, suggesting a potential breakout.
🔶 SETTINGS
Customization Options:
ATR Period – Defines lookback length for ATR calculation (shorter = more responsive, longer = smoother).
ATR Multiplier – Adjusts band width for better volatility capture.
Regression Length – Controls how many bars feed into the coefficient calculation (longer = smoother, shorter = more reactive).
Scaling Factor – Adjusts the strength of regression coefficients.
Output Smoothing – Option to apply a moving average for a cleaner probability curve
Market Participation Index [PhenLabs]📊 Market Participation Index
Version: PineScript™ v6
📌 Description
Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology.
🚀 Points of Innovation:
Automatic market condition detection system with intelligent preset selection
Multi-statistical approach combining classical and advanced metrics
Fractal-based divergence system with quality scoring
Adaptive threshold calculation using statistical properties of current market
🚨 Important🚨
The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel.
🔧 Core Components
Statistical Foundation: Multiple statistical measures combined with weighted approach
Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile)
Change Point Detection: Bayesian analysis for finding significant market structure shifts
Divergence System: Fractal-based pattern detection with quality assessment
Adaptive Visualization: Dynamic color schemes with context-appropriate settings
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions
Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis
Auto-preset System: Automatically selects optimal settings for current conditions
Fractal Divergence Analysis: Detects and grades quality of divergence patterns
Adaptive Thresholds: Dynamically adjusts overbought/oversold levels
🎨 Visualization
Color-coded Oscillator: Gradient-filled oscillator line showing intensity
Divergence Markings: Clear visualization of bullish and bearish divergences
Threshold Lines: Dynamic or fixed overbought/oversold levels
Preset Information: On-chart display of current market conditions
Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes
Classic
Modern
Monochrome
Neon
📖 Usage Guidelines
The indicator offers several customization options:
Market Condition Settings:
Preset Mode: Choose between Auto-detection or specific market condition presets
Color Theme: Select visual theme matching your chart style
Divergence Labels: Choose whether or not you’d like to see the divergence
✅ Best Use Cases:
Identify potential market reversals through statistical divergences
Detect changes in market structure before price confirmation
Filter trades based on current market condition (trending vs. ranging)
Find optimal entry and exit points using adaptive thresholds
Monitor shifts in market participation and momentum
⚠️ Limitations
Requires sufficient historical data for accurate statistical analysis
Auto-detection may lag during rapid market condition changes
Advanced statistical calculations have higher computational requirements
Manual preset selection may be required in certain transitional markets
💡 What Makes This Unique
Statistical Depth: Goes beyond traditional indicators with advanced statistical measures
Adaptive Intelligence: Automatically adjusts to current market conditions
Bayesian Analysis: Identifies statistically significant change points in market structure
Multi-factor Approach: Combines multiple statistical dimensions for confirmation
Fractal Divergence System: More robust than traditional divergence detection methods
🔬 How It Works
The indicator processes market data through four main components:
Market Condition Analysis:
Evaluates trend strength, volatility, and price patterns
Automatically selects optimal preset parameters
Adapts sensitivity based on current conditions
Statistical Oscillator:
Combines multiple statistical measures with weights
Normalizes values to consistent scale
Applies adaptive smoothing
Advanced Statistical Analysis:
Calculates higher-order statistical moments
Applies information-theoretic measures
Detects distribution anomalies
Divergence Detection:
Uses fractal theory to identify pivot points
Detects and scores divergence quality
Filters signals based on current market phase
💡 Note:
The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
MONEYZEYAH | MAIN MOMENTUM INDICATOREffortlessly track momentum and trend reversals with this streamlined indicator that overlays RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) in a single, easy-to-read format.
🔹 Key Features:
Dual Analysis – Combines RSI and MACD on the same panel, reducing clutter and enhancing chart clarity.
Crossover Alerts:
🟢 Green Dot – Bullish MACD crossover below the zero line, signaling potential upward momentum.
🔴 Red Dot – Bearish MACD crossover above the zero line, indicating possible downward pressure.
⚫ RSI Overlay – Clean gray lines display basic RSI to help identify overbought and oversold conditions.
🎯 Why Use This Indicator?
Saves screen space by combining two essential momentum tools.
Instantly spot reversal signals without flipping between indicators.
Ideal for traders who value simplicity and efficiency.
Twiggs Money FlowTwiggs Money Flow (TMF)
This indicator is an implementation of the Twiggs Money Flow (TMF), a volume-based tool designed to measure buying and selling pressure over a specified period. TMF is an enhancement of Chaikin Money Flow (CMF), utilizing more sophisticated smoothing techniques for improved accuracy and reduced noise. This version is highly customizable and includes advanced features for both new and experienced traders.
What is Twiggs Money Flow?
Twiggs Money Flow was developed by Colin Twiggs to provide a clearer picture of market momentum and the balance between buyers and sellers. It uses a combination of price action, trading volume, and range calculations to assess whether a market is under buying or selling pressure.
Unlike traditional volume indicators, TMF incorporates Weighted Moving Averages (WMA) by default but allows for other moving average types (SMA, EMA, VWMA) for added flexibility. This makes it adaptable to various trading styles and market conditions.
Features of This Script:
Customizable Moving Average Types:
Select from SMA , EMA , WMA , or VWMA to smooth volume and price-based calculations.
Tailor the indicator to align with your trading strategy or the asset's behavior.
Optional HMA Smoothing:
Apply Hull Moving Average (HMA) smoothing for a cleaner, faster-reacting TMF line.
Perfect for traders who want to reduce lag and capture trends earlier.
Dynamic Thresholds for Signal Filtering:
Set user-defined thresholds for Long (LT) and Short (ST) signals to highlight significant momentum.
Focus on actionable trends by ignoring noise around neutral levels.
Bar Coloring for Visual Clarity:
Automatically colors your chart bars based on TMF values:
Aqua for strong bullish signals (above the long threshold).
Fuchsia for strong bearish signals (below the short threshold).
Gray for neutral or undecided market conditions.
Ensures that trend direction and strength are visually intuitive.
Configurable Lookback Period:
Adjust the sensitivity of TMF by customizing the length of the lookback period to suit different timeframes and market conditions.
How It Works:
True Range Calculation: The script determines the high, low, and close range to calculate buying and selling pressure.
Adjusted Volume: Incorporates the relationship between price and volume to gauge whether trading activity is favoring buyers or sellers.
Weighted Moving Averages (WMAs): Smooths both volume and adjusted volume values to eliminate erratic fluctuations.
TMF Line: Computes the ratio of adjusted volume to total volume, representing the net buying/selling pressure as a percentage.
HMA Option (if enabled): Smooths the TMF line further to reduce lag and enhance trend identification.
Bar Coloring Logic:
Bars are colored dynamically based on TMF values, thresholds, and smoothing preferences.
Provides an at-a-glance understanding of market conditions.
Input Parameters:
Lookback Period: Defines the number of bars used to calculate TMF (default: 21).
Use HMA Smoothing: Toggle Hull Moving Average smoothing (default: true).
HMA Smoothing Length: Length of the HMA smoothing period (default: 14).
Moving Average Type: Select SMA, EMA, WMA, or VWMA (default: WMA).
Long Threshold (LT): Threshold value above which a long signal is considered (default: 0).
Short Threshold (ST): Threshold value below which a short signal is considered (default: 0).
How to Use It:
Confirm Trends: TMF can validate trends by identifying periods of sustained buying or selling pressure.
Divergence Signals: Watch for divergences between price and TMF to anticipate potential reversals.
Filter Trades: Use the thresholds to ignore weak signals and focus on strong trends.
Combine with Other Indicators: Pair TMF with trend-following or momentum indicators (e.g., RSI, Bollinger Bands) for a comprehensive trading strategy.
Example Use Cases:
Spotting breakouts when TMF crosses above the long threshold.
Identifying sell-offs when TMF dips below the short threshold.
Avoiding sideways markets by ignoring neutral (gray) bars.
Notes:
This indicator is highly customizable, making it versatile across different assets (e.g., stocks, crypto, forex).
While the default settings are robust, tweaking the lookback period, moving average type, and thresholds is recommended for different trading instruments or strategies.
Always backtest thoroughly before applying the indicator to live trading.
This version of Twiggs Money Flow goes beyond standard implementations by offering advanced smoothing, custom thresholds, and enhanced visual feedback to give traders a competitive edge.
Add it to your charts and experience the power of volume-driven analysis!
X-Force Selector中文說明
X-Force 篩選者 是基於 Mark Minervini 概念設計的強勢標的篩選指標，旨在幫助交易者捕捉市場中的極端強勢標的。此指標運用多重篩選條件，使交易者能在價格達到特定關鍵位置時精準進場，專注於上漲動能強勁、突破阻力較小的標的。
指標篩選條件
100% 關鍵價位：當價格位於365根K棒的最低點的100%之上時，顯示該標的處於強勢區域，具備顯著的上漲動能。
25% 高點價位：同時，當價格位於365根K棒的高點以下25%之上時，代表該標的上方阻力較小，是一個潛在的突破信號。
滿足以上兩個條件的標的才會被視為進場機會，這符合 Minervini 所強調的「專注於強勢標的」的策略。Minervini 的概念強調當標的價格突破關鍵價位時，可能帶來更高的回報潛力，且風險相對較小。
加密貨幣與時間周期的應用
在加密貨幣交易中，1小時到4小時的小時間框架適合使用100%、66%、33%這些百分比範圍參數，以反映市場的高波動特性。對於更短周期，建議進一步縮小百分比，以提高指標對短期波動的敏感度，並增強篩選結果的準確性。
靈活的篩選與戰警風格
此指標的設計結合了 Minervini 的概念和戰警風格，旨在精準鎖定極具潛力的突破標的。X-Force 篩選者適合追隨趨勢的交易者，尤其是熱衷於 Mark Minervini 策略的投資者，使交易者能夠專注於市場中最具上漲動能的標的，實現更精確的進場決策。
English Description
X-Force Selector is a powerful trend-filtering indicator inspired by Mark Minervini’s trading concepts, designed to help traders capture assets with extreme strength in the market. By applying multiple filtering criteria, this indicator enables precise entry decisions when price reaches specific key levels, focusing on assets with strong upward momentum and minimal resistance.
Indicator Selection Criteria
100% Key Price Level: When the price is above 100% of the lowest low over the past 365 bars, it indicates the asset is in a strong zone with substantial upward momentum.
25% High Price Level: Additionally, when the price is within 25% below the 365-bar high, it signals reduced resistance above, indicating potential for a breakout.
Assets meeting both criteria are considered potential entry opportunities, aligning with Minervini's strategy of “focusing on strong assets.” Minervini’s concept emphasizes capturing high-potential assets as they break through critical levels, aiming for higher returns with relatively low risk.
Application to Cryptocurrency and Timeframes
In cryptocurrency trading, shorter timeframes such as 1H to 4H are well-suited for the 100%, 66%, and 33% thresholds, reflecting the high volatility of crypto markets. For even smaller timeframes, it is recommended to reduce these percentages to enhance the indicator’s sensitivity to short-term fluctuations, improving the accuracy of filtered results.
Flexible Filtering with a Battle-Ready Style
With a design inspired by Minervini's concepts and a battle-ready scanning approach, the X-Force Selector precisely locks onto high-potential breakout candidates. This indicator is ideal for trend-following traders, especially those applying Mark Minervini’s strategies, enabling them to concentrate on assets with the strongest upward momentum for precise entry decisions.
Uptrick: Trend SMA Oscillator### In-Depth Analysis of the "Uptrick: Trend SMA Oscillator" Indicator
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#### Introduction to the Indicator
The "Uptrick: Trend SMA Oscillator" is an advanced yet user-friendly technical analysis tool designed to help traders across all levels of experience identify and follow market trends with precision. This indicator builds upon the fundamental principles of the Simple Moving Average (SMA), a cornerstone of technical analysis, to deliver a clear, visually intuitive overlay on the price chart. Through its strategic use of color-coding and customizable parameters, the Uptrick: Trend SMA Oscillator provides traders with actionable insights into market dynamics, enhancing their ability to make informed trading decisions.
#### Core Concepts and Methodology
1. **Foundational Principle – Simple Moving Average (SMA):**
- The Simple Moving Average (SMA) is the heart of the Uptrick: Trend SMA Oscillator. The SMA is a widely-used technical indicator that calculates the average price of an asset over a specified number of periods. By smoothing out price data, the SMA helps to reduce the noise from short-term fluctuations, providing a clearer picture of the overall trend.
- In the Uptrick: Trend SMA Oscillator, two SMAs are employed:
- **Primary SMA (oscValue):** This is applied to the closing price of the asset over a user-defined period (default is 14 periods). This SMA tracks the price closely and is sensitive to changes in market direction.
- **Smoothing SMA (oscV):** This second SMA is applied to the primary SMA, further smoothing the data and helping to filter out minor price movements that might otherwise be mistaken for trend reversals. The default period for this smoothing is 50, but it can be adjusted to suit the trader's preference.
2. **Color-Coding for Trend Visualization:**
- One of the most distinctive features of this indicator is its use of color to represent market trends. The indicator’s line changes color based on the relationship between the primary SMA and the smoothing SMA:
- **Bullish (Green):** The line turns green when the primary SMA is equal to or greater than the smoothing SMA, indicating that the market is in an upward trend.
- **Bearish (Red):** Conversely, the line turns red when the primary SMA falls below the smoothing SMA, signaling a downward trend.
- This color-coded system provides traders with an immediate, easy-to-interpret visual cue about the market’s direction, allowing for quick decision-making.
#### Detailed Explanation of Inputs
1. **Bullish Color (Default: Green #00ff00):**
- This input allows traders to customize the color that represents bullish trends on the chart. The default setting is green, a color commonly associated with upward market movement. However, traders can adjust this to any color that suits their visual preferences or matches their overall chart theme.
2. **Bearish Color (Default: Red RGB: 245, 0, 0):**
- The bearish color input determines the color of the line when the market is trending downwards. The default setting is a vivid red, signaling caution or selling opportunities. Like the bullish color, this can be customized to fit the trader’s needs.
3. **Line Thickness (Default: 5):**
- This setting controls the thickness of the line plotted by the indicator. The default thickness of 5 makes the line prominent on the chart, ensuring that the trend is easily visible even in complex or crowded chart setups. Traders can adjust the thickness to make the line thinner or thicker, depending on their visual preferences.
4. **Primary SMA Period (Value 1 - Default: 14):**
- The primary SMA period defines how many periods (e.g., days, hours) are used to calculate the moving average based on the asset’s closing prices. The default period of 14 is a balanced setting that offers a good mix of responsiveness and stability, but traders can adjust this depending on their trading style:
- **Shorter Periods (e.g., 5-10):** These make the indicator more sensitive, capturing trends more quickly but also increasing the likelihood of reacting to short-term price fluctuations or "noise."
- **Longer Periods (e.g., 20-50):** These smooth the data more, providing a more stable trend line that is less prone to whipsaws but may be slower to respond to trend changes.
5. **Smoothing SMA Period (Value 2 - Default: 50):**
- The smoothing SMA period determines how much the primary SMA is smoothed. A longer smoothing period results in a more gradual, stable line that focuses on the broader trend. The default of 50 is designed to smooth out most of the short-term fluctuations while still being responsive enough to detect significant trend shifts.
- **Customization:**
- **Shorter Smoothing Periods (e.g., 20-30):** Make the indicator more responsive, better for fast-moving markets or for traders who want to capture quick trends.
- **Longer Smoothing Periods (e.g., 70-100):** Enhance stability, ideal for long-term traders looking to avoid reacting to minor price movements.
#### Unique Characteristics and Advantages
1. **Simplicity and Clarity:**
- The Uptrick: Trend SMA Oscillator’s design prioritizes simplicity without sacrificing effectiveness. By relying on the widely understood SMA, it avoids the complexity of more esoteric indicators while still providing reliable trend signals. This simplicity makes it accessible to traders of all levels, from novices who are just learning about technical analysis to experienced traders looking for a straightforward, dependable tool.
2. **Visual Feedback Mechanism:**
- The indicator’s use of color to signify market trends is a particularly powerful feature. This visual feedback mechanism allows traders to assess market conditions at a glance. The clarity of the green and red color scheme reduces the mental effort required to interpret the indicator, freeing the trader to focus on strategy execution.
3. **Adaptability Across Markets and Timeframes:**
- One of the strengths of the Uptrick: Trend SMA Oscillator is its versatility. The basic principles of moving averages apply equally well across different asset classes and timeframes. Whether trading stocks, forex, commodities, or cryptocurrencies, traders can use this indicator to gain insights into market trends.
- **Intraday Trading:** For day traders who operate on short timeframes (e.g., 1-minute, 5-minute charts), the oscillator can be adjusted to be more responsive, capturing quick shifts in momentum.
- **Swing Trading:** Swing traders, who typically hold positions for several days to weeks, will find the default settings or slightly adjusted periods ideal for identifying and riding medium-term trends.
- **Long-Term Trading:** Position traders and investors can adjust the indicator to focus on long-term trends by increasing the periods for both the primary and smoothing SMAs, filtering out minor fluctuations and highlighting sustained market movements.
4. **Minimal Lag:**
- One of the challenges with moving averages is lag—the delay between when the price changes and when the indicator reflects this change. The Uptrick: Trend SMA Oscillator addresses this by allowing traders to adjust the periods to find a balance between responsiveness and stability. While all SMAs inherently have some lag, the customizable nature of this indicator helps traders mitigate this effect to align with their specific trading goals.
5. **Customizable and Intuitive:**
- While many technical indicators come with a fixed set of parameters, the Uptrick: Trend SMA Oscillator is fully customizable, allowing traders to tailor it to their trading style, market conditions, and personal preferences. This makes it a highly flexible tool that can be adjusted as markets evolve or as a trader’s strategy changes over time.
#### Practical Applications for Different Trader Profiles
1. **Day Traders:**
- **Use Case:** Day traders can customize the SMA periods to create a faster, more responsive indicator. This allows them to capture short-term trends and make quick decisions. For example, reducing the primary SMA to 5 and the smoothing SMA to 20 can help day traders react promptly to intraday price movements.
- **Strategy Integration:** Day traders might use the Uptrick: Trend SMA Oscillator in conjunction with volume-based indicators to confirm the strength of a trend before entering or exiting trades.
2. **Swing Traders:**
- **Use Case:** Swing traders can use the default settings or slightly adjust them to smooth out minor price fluctuations while still capturing medium-term trends. This approach helps in identifying the optimal points to enter or exit trades based on the broader market direction.
- **Strategy Integration:** Swing traders can combine this indicator with oscillators like the Relative Strength Index (RSI) to confirm overbought or oversold conditions, thereby refining their entry and exit strategies.
3. **Position Traders:**
- **Use Case:** Position traders, who hold trades for extended periods, can extend the SMA periods to focus on long-term trends. By doing so, they minimize the impact of short-term market noise and focus on the underlying trend.
- **Strategy Integration:** Position traders might use the Uptrick: Trend SMA Oscillator in combination with fundamental analysis. The indicator can help confirm the timing of entries and exits based on broader economic or corporate developments.
4. **Algorithmic and Quantitative Traders:**
- **Use Case:** The simplicity and clear logic of the Uptrick: Trend SMA Oscillator make it an excellent candidate for algorithmic trading strategies. Its binary output—bullish or bearish—can be easily coded into automated trading systems.
- **Strategy Integration:** Quant traders might use the indicator as part of a larger trading system that incorporates multiple indicators and rules, optimizing the SMA periods based on historical backtesting to achieve the best results.
5. **Novice Traders:**
- **Use Case:** Beginners can use the Uptrick: Trend SMA Oscillator to learn the basics of trend-following strategies.
The visual simplicity of the color-coded line helps novice traders quickly understand market direction without the need to interpret complex data.
- **Educational Value:** The indicator serves as an excellent starting point for those new to technical analysis, providing a practical example of how moving averages work in a real-world trading environment.
#### Combining the Indicator with Other Tools
1. **Relative Strength Index (RSI):**
- The RSI is a momentum oscillator that measures the speed and change of price movements. When combined with the Uptrick: Trend SMA Oscillator, traders can look for instances where the RSI shows divergence from the price while the oscillator confirms the trend. This can be a powerful signal of an impending reversal or continuation.
2. **Moving Average Convergence Divergence (MACD):**
- The MACD is another popular trend-following momentum indicator. By using it alongside the Uptrick: Trend SMA Oscillator, traders can confirm the strength of a trend and identify potential entry and exit points with greater confidence. For example, a bullish crossover on the MACD that coincides with the Uptrick: Trend SMA Oscillator turning green can be a strong buy signal.
3. **Volume Indicators:**
- Volume is often considered the fuel behind price movements. Using volume indicators like the On-Balance Volume (OBV) or Volume Weighted Average Price (VWAP) in conjunction with the Uptrick: Trend SMA Oscillator can help traders confirm the validity of a trend. A trend identified by the oscillator that is supported by increasing volume is typically more reliable.
4. **Fibonacci Retracement:**
- Fibonacci retracement levels are used to identify potential reversal levels in a trending market. When the Uptrick: Trend SMA Oscillator indicates a trend, traders can use Fibonacci retracement levels to find potential entry points that align with the broader trend direction.
#### Implementation in Different Market Conditions
1. **Trending Markets:**
- The Uptrick: Trend SMA Oscillator excels in trending markets, where it provides clear signals on the direction of the trend. In a strong uptrend, the line will remain green, helping traders stay in the trade for longer periods. In a downtrend, the red line will signal the continuation of bearish conditions, prompting traders to stay short or avoid long positions.
2. **Sideways or Range-Bound Markets:**
- In range-bound markets, where price oscillates within a confined range without a clear trend, the Uptrick: Trend SMA Oscillator may produce more frequent changes in color. While this could indicate potential reversals at the range boundaries, traders should be cautious of false signals. It may be beneficial to pair the oscillator with a volatility indicator to better navigate such conditions.
3. **Volatile Markets:**
- In highly volatile markets, where prices can swing rapidly, the sensitivity of the Uptrick: Trend SMA Oscillator can be adjusted by modifying the SMA periods. A shorter SMA period might capture quick trends, but traders should be aware of the increased risk of whipsaws. Combining the oscillator with a volatility filter or using it in a higher time frame might help mitigate some of this risk.
#### Final Thoughts
The "Uptrick: Trend SMA Oscillator" is a versatile, easy-to-use indicator that stands out for its simplicity, visual clarity, and adaptability. It provides traders with a straightforward method to identify and follow market trends, using the well-established concept of moving averages. The indicator’s customizable nature makes it suitable for a wide range of trading styles, from day trading to long-term investing, and across various asset classes.
By offering immediate visual feedback through color-coded signals, the Uptrick: Trend SMA Oscillator simplifies the decision-making process, allowing traders to focus on execution rather than interpretation. Whether used on its own or as part of a broader technical analysis toolkit, this indicator has the potential to enhance trading strategies and improve overall performance.
Its accessibility and ease of use make it particularly appealing to novice traders, while its adaptability and reliability ensure that it remains a valuable tool for more experienced market participants. As markets continue to evolve, the Uptrick: Trend SMA Oscillator remains a timeless tool, rooted in the fundamental principles of technical analysis, yet flexible enough to meet the demands of modern trading.
Broadview Delta (ROC)The Broadview Delta (ROC) is a trading indicator designed to provide insights into significant price changes in financial markets. ROC stands for Rate of Change, and it measures the percentage difference between the current price and a price from a specific number of periods ago. The Broadview Delta takes the concept of ROC a step further by incorporating bands of significance based on the highest and lowest price values within a defined time window. This allows traders to identify significant changes in price that are directly correlated with recent highs and lows.
The ROC indicator is widely used by traders and investors to assess the momentum and strength of price movements. It is particularly helpful in identifying potential trend reversals, overbought or oversold conditions, and divergences between price and momentum. By comparing the current price to a historical price point, ROC provides a normalized measurement of price change, enabling traders to gauge the speed and magnitude of market movements.
The Broadview Delta builds upon the traditional ROC by setting bands of significance based on recent highs and lows. These bands provide a contextual reference point for evaluating the significance of price changes. When the current price exceeds a significant upper band, it suggests a potential overbought condition, indicating that the price may be due for a correction. Conversely, if the current price falls below a significant lower band, it signals a potential oversold condition, implying that the price may be primed for a rebound. The bands of significance allow traders to identify crucial price levels where significant market reactions are likely to occur.
By mapping significant changes in price in relation to recent highs and lows, the Broadview Delta offers traders a clearer picture of market dynamics. It helps traders identify critical inflection points where price action is likely to encounter resistance or support. This information empowers traders to make informed decisions about entering or exiting trades, setting profit targets, and placing stop-loss orders.
The Broadview Delta indicator can be applied to various financial instruments, such as stocks, commodities, currencies, and indices. It can be used on different timeframes, ranging from intraday charts to longer-term charts, depending on the trader's preferred trading style and objectives.
The Broadview Delta (ROC) is a powerful trading indicator that combines the principles of the Rate of Change with bands of significance based on recent highs and lows. By providing a direct correlation between significant price changes and recent price extremes, it enhances the ability of traders to identify crucial market turning points. Incorporating the Broadview Delta into trading strategies can improve decision-making, increase the accuracy of trade entries and exits, and ultimately contribute to more profitable trading outcomes.
US Market Strength Momentum [LG]This indicator is designed to analyze the relative strength momentum of two US market indices, the Russell 2000 and S&P 500, by calculating their rate of change over a 21-bar period and comparing them. The difference between the average rate of change for IWM and SPY is then plotted as a histogram, with green bars indicating positive momentum and red bars indicating negative momentum.
The indicator also includes a moving average line, calculated over a 200-bar period, which is plotted on top of the histogram. This moving average helps to smooth out the data and provide a clearer picture of the longer-term trend.
In this indicator, the strength of the Russell 2000 compared to S&P 500 is seen as a gauge of market participants' risk tolerance. When Russell outperforms the S&P, market participants are assumed to be taking on greater risk in search of greater beta. When the S&P outperforms Russell, the assumption is that market participants are fleeing to safer assets (in regards to equities indices). The time frame the indicator is viewed on as well as the size of the rate of change delta dictates the strength of the trend.
MA MomentumThis simple script takes two ma's sums them and takes the the difference between the current and previous data points. This gives a lovely smoothed momentum indicator. The way it works is if its green its good and if its red its bad. In other words, I take the smooth signal as a filter for the momentum. You can also spot divergences between the indicator and the price to make decisions. Some features include extra smoothing and adjustable ma's. I hope you find this script useful!
Thank you.
Weeknights Momentum GuppyA very simple moving average cloud to assess momentum. This indicator is not meant to be used for entry triggers, but rather to see when momentum may be shifting
Can be used on any time frame, and should be used in conjunction to your current trading plan
MACD Potential Divergence - FontiramisuIndicator showing potential momentum divergences on MACD Momentum.
The problem with the classic divergence is that when the signal appears, it is sometimes too late to enter a trade .
The potential divergence corrects this problem by signaling the beginning of a potential divergence .
MACD is a momentum indicator that offers relevant insights with divergences.
Potential divergences are indicated with the letter B and a red color for Bearish Div or Green color for Bullish Div .
Potential divergence is confirmed when the line and the label "Bear"' or "Bull" appear.
Weeknights Momentum CloudA very simple moving average cloud to assess momentum. This indicator is not meant to be used for entry triggers, but rather to see when momentum may be shifting to the downside
Can be used on any time frame, and should be used in conjunction to your current trading plan
