J Lines EMA + VWAPThe EMA + VWAP indicator combines the power of Exponential Moving Averages (EMA) with the Volume Weighted Average Price (VWAP) to help traders spot trends, identify potential entries/exits, and understand market momentum with ease. This dual-purpose tool is designed to give both beginner and experienced traders a clear view of price direction and volume influence, whether for day trading or swing trading.
Key Features:
Dynamic EMA Lines:
Six customizable moving averages (EMA by default) adapt to your selected timeframe. EMAs help track trend direction and strength, with various colors and opacity settings that visually separate them for clarity.
VWAP Tracking: A standalone VWAP line (blue) shows the average trading price adjusted for volume, making it ideal for pinpointing significant price levels where institutional interest often lies.
EMA Ribbons for Trend Confirmation: Soft-colored ribbons are placed between EMA pairs to make the trend strength visually apparent, with different color fills between lines. This makes it easy to gauge bullish or bearish conditions at a glance.
Flexible MA Options: Besides EMA, you can choose from SMA, WMA, HMA, and RMA, allowing you to adapt the indicator to various trading strategies.
This tool simplifies trend-following and volume-based analysis by giving you insight into both price momentum and market participation levels. EMAs adapt to volatility and changing market conditions, while the VWAP keeps you aware of critical price zones based on trading volume. Together, these help you stay on the right side of the market, avoid false breakouts, and make informed decisions on when to enter or exit trades.
Ideal for beginners due to its visual clarity and flexible enough for seasoned traders, EMA + VWAP is your go-to indicator for a structured approach to market trends.
指數移動平均線(EMA)
EMA LavtiThis TradingView Pine Script indicator displays a smoothed Exponential Moving Average (EMA) line along with a single arrow to indicate the last confirmed crossing event. The indicator highlights either a "Buy" or "Sell" signal based on price action relative to the smoothed EMA.
How It Works:
The script tracks the index and direction (up or down) of the last crossover event.
When no new crossing event occurs, the script resets to avoid plotting multiple arrows.
The smoothed EMA line is plotted on the chart to give context for the crossover signals.
Hull Moving Averages 10, 20, 50, 100, 200This script generates multiple Hull Moving Averages (HMAs) on a trading chart, allowing for comprehensive trend analysis across different timeframes. Five HMAs with lengths of 10, 20, 50, 100, and 200 periods are plotted on the chart, providing insights into short, medium, and long-term market trends.
Each HMA can be customized with individual colors to easily distinguish between the different timeframes, helping traders visually track momentum changes and trend strength across these intervals. The Hull Moving Average is known for reducing lag compared to other moving averages, which makes it particularly useful for identifying turning points more accurately.
With this script:
You can adjust the colors of each HMA line individually, ensuring optimal visual differentiation.
You can analyze short-term trends with HMA 10 and HMA 20, medium-term trends with HMA 50, and long-term trends with HMA 100 and HMA 200.
The chart provides an at-a-glance view of multi-timeframe trends, making it useful for trading strategies that rely on crossovers or divergence patterns.
This tool is ideal for traders who want to identify trend direction, strength, and possible reversal points with minimal lag.
MoonrushCAPITALCOM:US100
Moonrush Indicator - Multi-Timeframe Trend Analysis Tool
Moonrush is a trend analysis tool that helps traders see market trends and identify potential entry or exit points using a combination of Exponential Moving Averages (EMAs) and overbought/oversold signals. The tool has the ability to display data in an easy-to-read dashboard, eliminating the need for users to frequently change charts to get an overview of trends across multiple timeframes.
Key Features and Methods
Multi-Timeframe Trend Analysis:
Moonrush analyzes trends on 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, and 1-day timeframes. It calculates the trend by comparing two user-defined EMA values (EMAfast and EMAslow). If the EMAfast crosses above the EMAslow, it indicates an uptrend (shown in green), while if it crosses below, it indicates a downtrend (shown in red). This allows traders to see the consistency of trends across multiple timeframes.
Customizable Dashboard:
Moonrush provides a dashboard that shows the trend and RSI index for each timeframe, with a table that allows traders to quickly assess market conditions. By displaying the RSI level, it can indicate overbought or oversold conditions. Green is used to indicate overbought conditions, while red is used for oversold conditions.
Overbought/Oversold Color Display:
The dashboard highlights overbought and oversold zones on the support EMA and resistance EMA lines, making it easier for users to identify reversal opportunities.
Key Parameters for Flexibility
EMA Adjustment and Toggle Switch:
Users can adjust the EMAfast and EMAslow parameters to suit their preferences, including turning the EMA display on or off as needed.
Dashboard Customization:
Traders can adjust the size and position of the dashboard to enhance usability, ensuring a clear display without cluttering the chart.
Focus on Risk Management:
Although Moonrush helps in trend detection, users should use this analysis in conjunction with appropriate risk management techniques. It is important to understand how Moonrush works, as the intersection of the EMA and RSI can help identify reversal and continuation patterns. However, users should consider the limitations of this indicator and examine the signals within a broader trading strategy.
How to Use Moonrush
Trend Confirmation:
Check the dashboard to see if trends across multiple timeframes are consistent, to create opportunities to follow or counter the trend.
Identifying Reversals:
Use the overbought and oversold color representations on the EMA support/resistance lines as reversal signals.
Customization:
Adjust the EMA values to your trading style and turn the display on or off as needed.
Moonrush, which combines EMA crossovers and RSI indicators, offers a versatile approach to trend analysis across multiple timeframes. However, traders should note that no single indicator can guarantee success. Users should conduct thorough backtesting and use it in accordance with their personal trading goals and risk tolerance.
##Please note that the tool (Moonrush) is not a guarantee of future market performance and should be used in conjunction with appropriate risk management. Users should ensure that they fully understand the methodology and limitations of the indicator before making any investment decisions. In addition, past performance is not an indication of future results.
Market Bias IndicatorOverview
This Pine Script™ code generates a "Market Sentiment Dashboard" on TradingView, providing a visual summary of market sentiment across multiple timeframes. This tool aids traders in making informed decisions by displaying real-time sentiment analysis based on Exponential Moving Averages (EMA).
Key Features
Panel Positioning:
Custom Placement: Traders can position the dashboard at the top, middle, or bottom of the chart and align it to the left, centre, or right, ensuring optimal integration with other chart elements.
Customizable Colours:
Sentiment Colours: Users can define colours for bullish, bearish, and neutral market conditions, enhancing the dashboard's readability.
Text Colour: Customizable text colour ensures clarity against various background colours.
Label Size:
Scalable Labels: Adjustable label sizes (from very small to very large) ensure readability across different screen sizes and resolutions.
Market Sentiment Calculation:
EMA-Based Sentiment: The dashboard calculates sentiment using a 9-period EMA. If the EMA is higher than two bars ago, the sentiment is bullish; if lower, it's bearish; otherwise, it's neutral.
Multiple Timeframes: Sentiment is calculated for several timeframes: 30 minute, 1 hour, 4 hour, 6 hour, 8 hour, 12 hour, 1 day, and 1 week. This broad analysis provides a comprehensive view of market conditions.
Dynamic Table:
Structured Display: The dashboard uses a table to organize and display sentiment data clearly.
Real-Time Updates: The table updates in real-time, providing traders with up-to-date market information.
How It Works
EMA Calculation: The script requests EMA(9) values for each specified timeframe and compares the current EMA with the EMA from two bars ago to determine market sentiment.
Colour Coding: Depending on the sentiment (Bullish, Bearish, or Neutral), the corresponding cell in the table is color-coded using predefined colours.
Table Display: The table displays the timeframe and corresponding sentiment, allowing traders to quickly assess market trends.
Benefits to Traders
Quick Assessment: Traders can quickly evaluate market sentiment across multiple timeframes without switching charts or manually calculating indicators.
Enhanced Visualization: The color-coded sentiment display makes it easy to identify trends at a glance.
Multi-Timeframe Analysis: Provides a broad view of short-term and long-term market trends, helping traders confirm trends and avoid false signals.
This dashboard enhances the overall trading experience by providing a comprehensive, customizable, and easy-to-read summary of market sentiment.
Usage Instructions
Add the Script to Your Chart: Apply the "Market Sentiment Dashboard" indicator to your TradingView chart.
Customize Settings: Adjust the panel position, colours, and label sizes to fit your preferences.
Interpret Sentiment: Use the color-coded table to quickly understand the market sentiment across different timeframes and make informed trading decisions.
EMA Distance & Sector InfoThis indicator provides insights into price trends relative to Exponential Moving Averages (EMAs) and displays sector/industry information about the asset. Below is a detailed explanation of its purpose and what it is designed to achieve:
Purpose of the Code
The indicator offers two key functionalities:
1. Analyzing Price Distance from Multiple EMAs:
• Helps traders understand how far the current price is from key EMAs, expressed as a percentage.
• Calculates average percentage distances over a specified period (default: 63 days) to spot consistent trends or mean reversion opportunities.
• Useful for trend-following strategies, allowing the trader to see when the price is above or below important EMAs (e.g., 9, 21, 50, 100, and 150-period EMAs).
2. Displaying Asset Sector and Industry Information:
• Displays the sector and industry of the asset being analyzed (e.g., Technology, Consumer Goods).
• Provides additional context when evaluating performance across a specific sector or comparing an asset to its peers.
Who Would Use This Indicator?
This indicator is particularly helpful for:
1. Swing Traders and Positional Traders:
• They can use it to track whether the price is trading significantly above or below critical EMAs, which often signals overbought/oversold conditions or trend strength.
• The average percentage distances help to identify momentum shifts or pullback opportunities.
2. Sector/Industry-Focused Investors:
• Understanding an asset’s sector and industry helps investors gauge how the asset fits into the broader market context.
• This is valuable for sector rotation strategies, where investors shift funds between sectors based on performance trends.
How It Helps in Trading Decisions
1. Entry and Exit Points:
• If the price is far above an EMA (e.g., 21 EMA), it might indicate an overbought condition or a strong trend, while a negative percentage could signal a pullback or reversal opportunity.
• The average percentage distances smooth the fluctuations and reveal longer-term trends.
2. Contextual Information:
• Knowing the sector and industry is useful when analyzing trends. For example, if Technology stocks are doing well, and this asset belongs to that sector, it could indicate sector-wide momentum.
Summary of the Indicator’s Purpose
This code provides:
• EMA trend monitoring: Visualizes the price position relative to multiple EMAs and averages those distances for smoother insights.
• Sector and industry information: Adds valuable context for asset performance analysis.
• Decision-making support: Helps traders identify overbought/oversold levels and assess the asset within the broader market landscape.
In essence, this indicator is a multi-purpose tool that combines technical analysis (through EMA distances) with fundamental context (via sector/industry info), making it valuable for traders and investors aiming to time entries/exits or understand market behavior better.
Fourier Transformed & Kalman Filtered EMA Crossover [Mattes]The Fourier Transformed & Kalman Filtered EMA Crossover (FTKF EMAC) is a trend-following indicator that leverages Fourier Transform approximation, Kalman Filtration, and two Exponential Moving Averages (EMAs) of different lengths to provide accurate and smooth market trend signals. By combining these three components, it captures the underlying market cycles, reduces noise, and produces actionable insights, making it suitable for detecting both emerging trends and confirming existing ones.
TECHNICALITIES:
>>> The Fourier Transform approximation is designed to identify dominant cyclical patterns in price action by focusing on key frequencies, while filtering out noise and less significant movements. It emphasizes the most meaningful price cycles, enabling the indicator to isolate important trends while ignoring minor fluctuations. This cyclical awareness adds an extra layer of depth to trend detection, allowing the EMAs to work with a cleaner and more reliable data set.
>>> The Kalman Filter adds dynamic noise reduction, adjusting its predictions of future price trends based on past and current data. As new price data comes in, the filter recalibrates itself to ensure that the price action remains smooth and devoid of erratic movements. This real-time adjustment is key to minimizing lag while avoiding false signals, which ensures that the EMAs react to more accurate and stable market data. The Kalman Filter’s ability to smooth price data without losing sensitivity to trend changes complements the Fourier approximation, ensuring a high level of precision in volatile and stable market environments.
>>> The EMA Crossover involves using two EMAs: a shorter EMA that reacts quickly to price movements and a longer EMA that responds more slowly. The shorter EMA is responsible for capturing immediate market shifts, detecting potential bullish or bearish trends. The longer EMA smooths out price fluctuations and provides trend confirmation, working with the shorter EMA to ensure the signals are reliable. When the shorter EMA crosses above the longer EMA, it indicates a bullish trend, likewise when it goes below the longer EMA, it signals a bearish trend. This setup provides a clear way to track market direction, with color-coded signals (green for bullish, red for bearish) for visual clarity. The flexibility of adjusting the EMA periods allows traders to fine-tune the indicator to their preferred timeframe and strategy, making it adaptable to different market conditions.
|-> A key technical aspect is that the first EMA should always be shorter than the second one. If the first EMA is longer than the second, the tool’s effectiveness is compromised because the faster EMA is designed to signal long conditions, while the longer one is made for signaling a bearish trend. Reversing their roles would lead to delayed or confused signals, reducing the indicator’s ability to detect trend shifts early and making it less efficient in volatile markets. This is the only key weakness of the indicator, failure to submit to this rule will result in confusion.
>>> These components work together like a clock to create a comprehensive and effective trend-following system. The Fourier approximation highlights key cyclical movements, the Kalman Filter refines these movements by removing noise, and the EMAs interpret the filtered data to generate actionable trend signals. Each component enhances the next, ensuring that the final output is both responsive and reliable, with minimal false signals or lag. creating an indicator using widespread concepts which haven't been combined before.
Summary
This indicator combines Fourier Transform approximation, Kalman Filtration, and two EMAs of different lengths to deliver accurate and timely trend-following signals. The Fourier approximation identifies dominant market cycles, while the Kalman Filter dynamically removes noise and refines the price data in real time. The two EMAs then use this filtered data to generate buy and sell signals based on their crossovers. The shorter EMA reacts quickly to price changes, while the longer EMA provides smoother trend confirmation. The components work in synergy to capture trends with minimal false signals or lag, ensuring traders can act promptly on market shifts. Customizable EMA periods make the tool adaptable to different market conditions, enhancing its versatility for various trading strategies.
To use the indicator, traders should adjust the EMA lengths based on their timeframe and strategy, ensuring that the shorter EMA remains shorter than the longer EMA to preserve the tool’s responsiveness. The color-coded signals offer visual clarity, making it easy to identify potential entry and exit points. This confluence of Fourier, Kalman, and EMA methodologies provides a smooth, highly effective trend-following tool that excels in both trending and ranging markets.
[AA]-TrendFlow EMAs - TrendFlow EMAs: A Multi-Dimensional Trend Analysis Tool
The TrendFlow EMAs indicator is designed to help traders identify and act on trends, momentum shifts, and reversals across various timeframes. This tool combines multiple Exponential Moving Averages (EMAs), daily open levels, and PVSRA-based volume analysis to provide unique insights into market dynamics. By layering these components, the indicator offers a well-rounded view of both intraday and longer-term trends, making it suitable for traders of all styles, from scalpers to swing traders.
Key Features and Components:
EMA Trend Cloud with Bias Coloring:
The indicator plots an EMA cloud using two customizable EMAs (default 5 and 13) to highlight the trend's direction and strength.
Bias Coloring on the 50 EMA Cloud: The area between the 50 EMA and its upper/lower limits changes color based on trend bias.
When the 50 EMA rises, the cloud turns light green (bullish bias).
When the 50 EMA falls, the cloud shifts to light red (bearish bias).
This bias coloring helps traders quickly identify the dominant trend and momentum shifts at a glance.
Additional long-term EMAs (100, 200, and 800) provide context for market direction and align signals across different timeframes.
Daily Open Levels for Intraday Context:
This feature marks the daily open price, a key reference point for tracking intraday price action.
Use it to identify whether the market is trending away from or converging towards the daily open, allowing for better intraday entry and exit points.
PVSRA-Based Volume Candle Coloring:
The indicator colors candles using PVSRA (Price, Volume, Spread Analysis) logic to reveal high-volume price moves and fakeouts.
Green and red candles highlight strong bullish or bearish moves. Violet and blue candles indicate potential false moves, cautioning traders to avoid traps.
This volume-weighted candle analysis improves trend validation by helping traders avoid low-confidence setups.
Deviation Table for EMA Overextensions:
A table shows the percentage deviation of price from selected EMAs, helping traders identify overbought or oversold conditions.
Use this data to determine when the market is likely to revert back to mean levels or continue trending.
How to Use the Indicator Effectively:
Trend Confirmation: Use the EMA cloud and bias coloring to confirm trend direction. Enter trades in the direction of the trend when both the short-term and long-term EMAs align.
Intraday Trading: Pay attention to the daily open level—when the price stays above the open, the bias is bullish, and vice versa.
Volume Confirmation: Monitor the PVSRA candle colors to validate or question market moves.
For example, a transparent candle signals a possible fake bearish move, while a green candle indicates a high-confidence bullish push.
EMA Deviations: Consult the deviation table to see if price is extended beyond normal levels, potentially signaling a reversal or retracement.
Default Settings and Customization:
Fast EMA: 5
Slow EMA: 13
Trend Bias EMAs: 12 and 21 (for additional trend filtering)
Long-Term EMAs: 50, 100, 200, and 800
Bias Cloud on 50 EMA: Dynamic coloring to reflect bullish and bearish bias.
Color Modes: Supports dark and light modes for visual customization.
Volume Candles: The PVSRA-based volume coloring offers a clearer view of potential trend traps or momentum surges.
Why This Indicator Stands Out:
The TrendFlow EMAs indicator combines the strengths of multiple strategies—trend-following EMAs, intraday reference levels, and PVSRA-based volume analysis—into a single tool. This mashup creates more reliable signals and helps traders avoid common pitfalls like false breakouts or low-volume traps. The bias coloring on the 50 EMA cloud offers an additional edge, giving traders a quick visual indication of momentum changes. With its clear visual cues, customizable settings, and multi-dimensional insights, TrendFlow EMAs offers a complete solution for traders looking to trade trends confidently and accurately.
Best Practices:
Combine with other tools (like RSI or MACD) to further enhance trade entries and exits.
Adjust the EMA lengths to suit your trading style or the volatility of the asset you are analyzing.
Breakout & Distribution DetectorHow the Script Works:
1. Bollinger Bands:
• The upper and lower Bollinger Bands are used to detect volatility and potential breakouts. When the price closes above the upper band, it’s considered a bullish breakout. When the price closes below the lower band, it’s a bearish breakout.
2. RSI (Relative Strength Index):
• The RSI is used for momentum confirmation. A bullish breakout is confirmed if the RSI is above 50, and a bearish breakout is confirmed if the RSI is below 50.
• If the RSI enters overbought (above 70) or oversold (below 30) levels, it signals a distribution phase, indicating the market may be ready to reverse or consolidate.
3. Moving Average:
• A simple moving average (SMA) of 20 periods is used to ensure we’re trading in the direction of the trend. Breakouts above the upper Bollinger Band are valid if the price is above the SMA, while breakouts below the lower Bollinger Band are valid if the price is below the SMA.
4. Signals and Alerts:
• BUY Signal: A green “BUY” label appears below the candle if a bullish breakout is detected.
• SELL Signal: A red “SELL” label appears above the candle if a bearish breakout is detected.
• Distribution Phase: The background turns purple if the market enters a distribution phase (RSI in overbought or oversold territory).
• Alerts: You can set alerts based on these conditions to get notifications for breakouts or when the market enters a distribution phase.
EMA Distance Scanner with Multi-TimeframesThis indicator was created for personal use because I wanted to see, within the five-minute time frame, what is happening with the 15-minute, 1 hour, and 4 hour EMA9 and EMA200.
When the number is green, we are above the EMA value, and when it is red, we are below it. This also helps to get a clearer picture of the short- and long-term trends. When the number is close, within 0.00-0.01%, it turns blue, indicating a potential support level. You can also change the EMA values to your preference in the settings.
Hopefully, this will be helpful for you as well.
Trademania - PVSRA IndicatorTrademania - PVSRA Indicator
The Trademania - PVSRA Indicator is based on a proven MT4 indicator suite that has been in use since 2013. Over time, it has been expanded with additional features and tools. Originally developed for the Forex market, it also works well for cryptocurrencies, stocks, and other assets. The goal of this indicator is to combine classic chart analysis with PVSRA analysis, allowing for a clean mixed chart analysis. Traders gain access to a wide range of important information and can use it to form their trading assumptions. The indicator is designed to make it as simple as possible: identifying price levels at the breakout of key support/resistance, for confirmations above/below an imbalance, or recognizing and validating standard structures.
Important: This indicator is designed to be used across all timeframes. It works equally well for scalping on lower timeframes and for larger timeframes, such as spot trading on the 4H or daily chart.
The following core features are available:
- PVSRA Candles
- Dynamic Zones for PVSRA Candles (Imbalance)
- Market sessions with high/low points
- Integrated EMAs (daily, weekly, higher time frames)
- Fully customizable EMAs
- Pivot points with mid/50% level
- Price ranges from yesterday and last week
- Average daily range (also available for weekly and monthly)
- Psychological levels (for Forex)
- Daily open
- High/Low Point of Control (POC) indicators for wicks and candle bodies
- WIL (Weekly Interest Level) - High/Low of the Asian session
- On-chart labels for nearly all elements
Key Features:
- PVSRA, integrated POC levels, and WIL levels distinguish this indicator.
- Integrated EMAs and the daily, weekly, high time frame EMAs can be supplemented or replaced by custom EMAs for maximum flexibility.
Special Feature:
- Lite Mode for better visibility and simplified chart analysis.
Instructions and Notes
PVSRA Candles
Display volume or tick volume on the chart.
- Candles with more than 200% average volume of the last 10 candles, where the product of candle spread and volume is greater than the last 10 candles/timeframes, are shown in green (bullish) and red (bearish).
- Blue and purple candles show the same with 150% average volume of the last 10 candles.
**Note:** To obtain valid information, the trading volume should be as large as possible. If you're viewing the chart of an exchange with low trading volume, you can use the PVSRA override to display the volume from another exchange. For example, you can view the Phemex chart but display the tick/volume of the Binance chart as PVSRA/Vector candles.
Dynamic Zones for PVSRA Candles (Imbalance)
Zones that match the color of the respective vector candle display imbalance on the chart.
- In PVSRA analysis, it is assumed that such imbalances will be revisited and corrected. It can be customized whether this should happen with candle wicks or just the candle bodies.
Market Sessions with High/Low Points (DST)
Relevant market sessions: Sydney/NZX, Tokyo, Hong Kong, EU, New York, as well as the Brinks sessions pre EU/NY, are marked with high/low points and labeled on the chart.
- In PVSRA/Mixed analysis, these represent important liquidity zones of the individual trading sessions, often serving as key support/resistance levels.
WIL (Weekly Interest Level) - High/Low of the Asian Session
The new WIL levels represent the market open/Asian session of the new trading week: Sydney open to Hong Kong close.
- This forms an important price range for the trading week and is always a key breakout zone or rejection area in mixed analysis. Additional liquidity is needed to break through these levels.
- Higher effort against the start of the week – an imbalance (above/below).
High/Low Point of Control (POC) Indicators for Wicks and Candle Bodies
Additionally, the indicator includes pivot-based POC markers at key highs/lows on the chart.
- A POC is generated from the candle footprint (1000 resolution) and displayed on the chart.
- **Note:** If the POC is in a wick, it is shown as a line; if the POC is only in the candle body, it is displayed in small text.
- In mixed analysis, POCs in volume-heavy wicks are always a key indication of price levels that will be revisited and a potential enhancer for a wick-fill upwards or downwards.
EMA/Pivot Points/Psychological Levels Classic/Average Ranges:
Daily/ADR - Weekly/AWR / High/Low values for day/week, as well as the daily open of the current trading day, form the foundation of the indicator.
- Base structures that account for imbalance must break certain price levels to confirm or invalidate a previous movement (bullish or bearish).
- 13/50/200/800 EMA retrace: Breaking these in either direction without addressing an imbalance on the opposite side requires confirmation after the break.
- Pivot-level trading operates on the same principle.
- **Note:** Pivot levels in this indicator have additional M-levels, which represent 50% markers to provide better insights into potential retraces or upward moves.
- For example: Breaking M1, retracing, and confirming at M1 with a target at M2.
To recognize a standard 3-level rise or retrace scenario in mixed analysis, as well as a potential extended chart progression, these levels are essential.
**Note:** Average ranges such as High/Low ADR are particularly important levels where interruptions are expected. Profit-taking, long/short, is common at these points, independent of standard structures. This also applies to the high/low levels of the last trading day and the weekly versions of these levels.
The daily open helps identify possible SPOT/Futures gaps (depending on the asset, such as a missing futures market over the weekend: NAS/DAX).
Important:
The Lite Mode is designed to help traders reduce the chart to essential core functions (PVSRA/EMA/WIL/Psy/Daily Open/Hi-Lo) to apply classic TA effectively and strengthen a mixed analysis or challenge certain assumptions regarding confirmation and imbalance.
**Note:** It is recommended to additionally use a MACD indicator to identify potential trends and momentum.
- For example, a positive MACD trend supporting a 50 EMA breakout with a target of the 200 EMA under positive imbalance (standard mixed pattern).
To cater to personal preferences or trading strategies, it is possible to add custom EMA values to the indicator without the need for a second or third separate indicator.
All functions are fully customizable within the indicator settings.
D_Rock's MA IndicatorD_Rock's Moving Average Indicator
This is an indicator version of my strategy linked here
**Overview:**
The basic concept of this indicator is to generate a signal when a faster/shorter length moving average crosses over (for Longs) or crosses under (for Shorts) a medium/longer length moving average. All of which are customizable. This indicator can work on any timeframe, however the daily is the timeframe used for the default settings and screenshots, as it was designed to be a multi-day swing strategy. Once a signal has been confirmed with a candle close, based on user options, the strategy is to enter the trade on the open of the next candle.
The crossover strategy is nothing new to trading, but what can make this strategy unique and helpful, is the addition of further confirmation points before a signal is generated along with the ability to show multiple moving averages on the chart if you choose. Each moving average pair can also be turned into a "cloud" instead of the traditional lines, for additional viewing preferences. Just about everything visual can be toggled on/off as well.
This indicator is a Trend (MA) indicator with optional confirmation points using a Momentum (MACD) indicator. While a Volume-based indicator is not shown here, one could consider using their favorite from that category to further compliment the signal idea.
If you would like to see the backtesting results for your favorite moving average crossover/under, please see my strategy version linked here .
Shoutout given to Ripster's Clouds Indicator as pieces of that code were taken and modified to create both the Cloud visualization effects, and the Moving Average Pair Plots that are implemented in this strategy.
MOVING AVERAGE OPTIONS
Select between and change the length & type of up to 5 pairs (10 total) of moving averages
The "Show Cloud-x" option will display a fill color between the "a" and "b" pairs
All moving averages lines can be toggled on/off in the "Style" tab, as well as adjusting their colors.
Visualization features do not affect calculations, meaning you could have all or nothing on the chart and the strategy will still produce results
SIGNAL CHOICES
Choose the fast/shorter length MA and the medium/longer length MA to determine the entry signal
CONFIRMATION OPTIONS
Both of these have customizable values and can be toggled on/off
A candle close over a slower/much longer length moving average
An additional cross-over (cross-under for Shorts) on the MACD indicator using default MACD values. While the MACD indicator is not necessary to have on the chart, it can help to add that for visualization. The calculations will perform whether the indicator is on the chart or not.
ADDITIONAL PLOTS
MACD (Moving Average Convergence/Divergence):
- The MACD is an optional confirmation indicator for this strategy.
- Plotting the indicator is not necessary for the strategy to work, but it can be helpful to visually see the status and position of the MACD if this feature is enabled in the strategy
- This helps to identify if there is also momentum behind the entry signal
Boosted Moving AverageOverview:
The Boosted Moving Average (BMA) is designed to enhance the traditional Exponential Moving Average (EMA) by introducing a boositng factor that amplifies its responsiveness to price changes. This means that the BMA will react more quickly to significant market movements, while still maintaining a smooth trajectory.
Key Features:
Boost Factor Sensitivity: Adjust the BMA's reactivity to price movements. A higher boost factor makes it more responsive, ideal for traders who want to catch price shifts early.
Dual EMA Calculation: The BMA combines two EMAs with different lengths to create a divergence that forms the basis for boosted values. This dual approach helps refine entry and exit points.
Smoothing: After boosting, the moving average is smoothed using another EMA, ensuring you get the clearest possible signal without over-complicating things.
Bullish/Bearish Coloring: The plot changes color based on the current trend, making it easy to visualize market direction:
How It Works:
The script calculates two EMAs: one with the given length and one with half that length.
The boost factor amplifies the difference between these two EMAs to provide an enhanced signal.
A final EMA is applied to smooth the resulting boosted moving average, ensuring clarity in market direction.
Color-coded trends make it easy to see if the market is bullish (green) or bearish (red).
Day & Swing Trading EMA Clouds with Adaptive LevelsDay & Swing Trading EMA Clouds with Adaptive Levels is a tool designed for traders who need a flexible indicator that adapts to both short-term (day trading) and long-term (swing trading) strategies. The indicator blends EMA clouds and adaptive support/resistance levels, making it suitable for analyzing trend strength and key price zones.
How It Works:
EMA Clouds for Trend Detection:
This indicator uses three EMAs (Fast, Intermediate, Slow) to create two clouds:
Fast Cloud: The area between the fast and Intermediate EMAs.
Slow Cloud: The area between the Intermediate and slow EMAs.
The cloud colors change based on trend direction:
Positive (uptrend): When the fast EMA is above the Intermediate EMA (turquoise) or the Intermediate EMA is above the slow EMA (teal).
Negative (downtrend): When the fast EMA is below the Intermediate EMA (pink) or the Intermediate EMA is below the slow EMA (magenta).
Traders can use these clouds to visually gauge market momentum and trend reversals.
Adaptive EMA Settings Based on Trading Mode:
The EMA lengths adjust automatically depending on whether you're in Day Trading or Swing Trading mode:
Day Trading Mode uses shorter periods to capture quick price movements:
Fast EMA: 5-period
Mid EMA: 13-period
Slow EMA: 21-period
Swing Trading Mode uses longer periods to capture broader trends:
Fast EMA: 12-period
Mid EMA: 26-period
Slow EMA: 50-period
This dynamic adjustment allows you to switch between trading styles seamlessly, with the EMAs reflecting the most relevant timeframes for each strategy.
Adaptive Support and Resistance Levels:
Depending on the selected trading mode, the indicator dynamically plots key levels:
Day Trading Mode: Previous day’s high, low, and midpoint, as well as 2-day levels.
Swing Trading Mode: Previous month’s high, low, and midpoint, as well as 2-month levels.
These levels act as dynamic support and resistance zones, giving traders critical areas to monitor for potential reversals or breakouts.
Buy & Sell Signals:
Visual buy/sell signals are generated when the fast EMA crosses above or below the slow EMA. These signals can help traders identify potential trend reversals.
Customization:
You can fully adjust the transparency and colors of the clouds to fit your personal preferences and trading style.
Why This Combination?
Combining EMA clouds with adaptive levels provides traders with a complete picture. The clouds highlight the underlying market momentum and trend strength, while the adaptive levels offer potential entry/exit points based on historical price action. This unique mashup allows traders to follow trends and plan trades around key support and resistance zones.
EMA GridThe EMA Grid indicator is a powerful tool that calculates the overall market sentiment by comparing the order of 20 different Exponential Moving Averages (EMAs) over various lengths. The indicator assigns a rating based on how well-ordered the EMAs are relative to each other, representing the strength and direction of the market trend. It also smooths out the macro movements using cumulative calculations and visually represents the market sentiment through color-coded bands.
EMA Calculation:
The indicator uses a series of EMAs with different lengths, starting from 5 and going up to 100. Each EMA is calculated either using the exponential moving averages.
The EMAs form the grid that the indicator uses to measure the order and distance between them.
Rating Calculation:
The indicator computes the relative distance between consecutive EMAs and sums these differences.
The cumulative sum is further smoothed using multiple EMAs with different lengths (from 3 to 21). This smooths out short-term fluctuations and helps identify broader trends.
Market Sentiment Rating:
The overall sentiment is calculated by comparing the values of these smoothing EMAs. If the shorter-term EMA is above the longer-term EMA, it contributes positively to the sentiment; otherwise, it contributes negatively.
The final rating is a normalized value based on the relationship between these EMAs, producing a sentiment score between 1 (bullish) and -1 (bearish).
Color Coding and Bands:
The indicator uses the sentiment rating to color the space between the 100 EMA and 200 EMA, representing the strength of the trend.
If the sentiment is bullish (rating > 0), the band is shaded green. If the sentiment is bearish (rating < 0), the band is shaded red.
The intensity of the color is based on the strength of the sentiment, with stronger trends resulting in more saturated colors.
Utility for Traders:
The EMA Grid is ideal for traders looking to gauge the broader market trend by analyzing the structure and alignment of multiple EMAs. The color-coded band between the 100 and 200 EMAs provides an at-a-glance view of market momentum, helping traders make informed decisions based on the trend's strength and direction.
This indicator can be used to identify bullish or bearish conditions and offers a smoothed perspective on market trends, reducing noise and highlighting significant trend shifts.
Daksh RSI POINT to ShootHere are the key points and features of the Pine Script provided:
### 1. **Indicator Settings**:
- The indicator is named **"POINT and Shoot"** and is set for non-overlay (`overlay=false`) on the chart.
- `max_bars_back=4000` is defined, indicating the maximum number of bars that the script can reference.
### 2. **Input Parameters**:
- `Src` (Source): The price source, default is `close`.
- `rsilen` (RSI Length): The length for calculating RSI, default is 20.
- `linestylei`: Style for the trend lines (`Solid` or `Dashed`).
- `linewidth`: Width of the plotted lines, between 1 and 4.
- `showbroken`: Option to show broken trend lines.
- `extendlines`: Option to extend trend lines.
- `showpivot`: Show pivot points (highs and lows).
- `showema`: Show a weighted moving average (WMA) line.
- `len`: Length for calculating WMA, default is 9.
### 3. **RSI Calculation**:
- Calculates a custom RSI value using relative moving averages (`ta.rma`), and optionally uses On-Balance Volume (`ta.obv`) if `indi` is set differently.
- Plots RSI values as a green or red line depending on its position relative to the WMA.
### 4. **Pivot Points**:
- Utilizes the `ta.pivothigh` and `ta.pivotlow` functions to detect pivot highs and lows over the defined period.
- Stores up to 10 recent pivot points for highs and lows.
### 5. **Trend Line Drawing**:
- Lines are drawn based on pivot highs and lows.
- Calculates potential trend lines using linear interpolation and validates them by checking if subsequent bars break or respect the trend.
- If the trend is broken, and `showbroken` is enabled, it draws dotted lines to represent these broken trends.
### 6. **Line Management**:
- Initializes multiple lines (`l1` to `l20` and `t1` to `t20`) and uses these lines for drawing uptrend and downtrend lines.
- The maximum number of lines is set to 20 for uptrends and 20 for downtrends, due to a limit on the total number of lines that can be displayed on the chart.
### 7. **Line Style and Color**:
- Defines different colors for uptrend lines (`ulcolor = color.red`) and downtrend lines (`dlcolor = color.blue`).
- Line styles are determined by user input (`linestyle`) and use either solid or dashed patterns.
- Broken lines use a dotted style to indicate invalidated trends.
### 8. **Pivot Point Plotting**:
- Plots labels "H" and "L" for pivot highs and lows, respectively, to visually indicate turning points on the chart.
### 9. **Utility Functions**:
- Uses helper functions to get the values and positions of the last 10 pivot points, such as `getloval`, `getlopos`, `gethival`, and `gethipos`.
- The script uses custom logic for line placement based on whether the pivots are lower lows or higher highs, with lines adjusted dynamically based on price movement.
### 10. **Plotting and Visuals**:
- The main RSI line is plotted using a color gradient based on its position relative to the WMA.
- Horizontal lines (`hline1` and `hline2`) are used for visual reference at RSI levels of 60 and 40.
- Filled regions between these horizontal lines provide visual cues for potential overbought or oversold zones.
These are the main highlights of the script, which focuses on trend detection, visualization of pivot points, and dynamic line plotting based on price action.
Arjunology for Stocks IndicatorArjunology for Stocks Indicator is a unique trend-following and exit management system that combines the power of Exponential Moving Averages (EMA) and Average True Range (ATR) to capture market trends and manage trade exits dynamically. It is designed to help traders identify potential buy and sell points based on market trends while incorporating volatility adjustments to avoid false signals and provide more reliable trade entries and exits.
Key Features:
1. Exponential Moving Averages (EMAs):
• Two EMAs (Short EMA and Long EMA) are used to determine trend direction and potential crossover signals.
• Short EMA reacts quickly to price changes, giving an indication of shorter-term trends.
• Long EMA provides a more stable measure of the overall trend direction, helping filter out market noise.
• Bullish Crossovers: When the short EMA crosses above the long EMA, it signals a potential uptrend (buy condition).
• Bearish Crossovers: When the short EMA crosses below the long EMA, it signals a potential downtrend (sell condition).
2. Average True Range (ATR):
• ATR is used to assess market volatility and avoid false signals during low volatility periods.
• A trailing stop loss mechanism based on ATR ensures that the indicator adapts to the current market environment, with higher volatility allowing for wider stops and lower volatility leading to tighter stops.
• A flat ATR threshold is used to avoid signals during quiet periods, where price movement may be too insignificant to trade effectively.
3. Buy and Sell Visual Cues:
• Green Triangle at the bottom of the candle when a bullish crossover (buy) condition is met.
• Red Triangle at the top of the candle when a bearish crossover (sell) condition is met.
• These visual cues help traders quickly identify trade entry points based on the trend signals.
4. Dynamic Exit Management:
• The indicator provides an Blue candle background to highlight exit points, with an “EXIT” label at the bottom of the candle in blue. This visual exit signal ensures clarity when a trade should be exited based on the trend reversal.
Justification for Combining EMAs and ATR in This Script:
The Exponential Moving Averages (EMAs) and Average True Range (ATR) serve complementary purposes in this script, enhancing each other’s functionality to provide a more complete trading system:
1. Trend Identification with EMAs:
• The combination of short and long EMAs is a widely trusted method for determining the trend direction. The crossovers between these EMAs provide clear entry signals for buy or sell trades. However, relying solely on EMAs can lead to false signals during periods of low volatility or market consolidation.
2. ATR for Volatility and Stop Loss:
• To prevent false signals during low-volatility conditions, the script uses ATR as a filter. This ensures that trades are only taken when the market has enough momentum, reducing the risk of being caught in “choppy” conditions where price action may be flat and untradeable.
• Additionally, the ATR-based trailing stop provides dynamic trade management, adjusting stop-loss levels according to the current volatility. This makes the system adaptive and prevents tight stops in volatile conditions or unnecessarily wide stops in calm markets.
3. Why They Work Together:
• The EMAs handle the trend direction, which is the foundation of the trading system, while the ATR adjusts the trade management to account for changing volatility. This means that the trader is always entering trades that are likely to follow a strong trend, while avoiding stagnant markets and using volatility-adaptive exit points.
• Without ATR, EMAs might generate signals during low-volatility periods that are unreliable. On the other hand, ATR alone wouldn’t provide a clear direction for trend-following. Together, these indicators create a balanced approach where trades are not only timely but also carefully managed.
How to Use:
• Buy Entry: Enter when the green triangle appears, indicating a bullish EMA crossover.
• Sell Entry: Enter short when the red triangle appears, indicating a bearish EMA crossover.
• Exit: Follow the orange background and blue “EXIT” label as a visual cue to exit the trade.
The combination of these tools allows traders to identify meaningful trend reversals while also managing risk dynamically, making the Arjunology for Stocks Indicator both versatile and effective for various market conditions.
EMA CheatsheetEMA Clouds Indicator: A Comprehensive Guide for Traders
The Exponential Moving Average (EMA) Clouds indicator is a dynamic tool designed to provide traders with visual cues about the current trend and potential shifts in market momentum. The EMA is a type of moving average that gives more weight to recent price data, making it highly responsive to price changes compared to a Simple Moving Average (SMA). When used in the form of clouds, EMAs are layered on top of each other to form a visual representation of bullish and bearish trends.
Understanding EMA Clouds
EMA Clouds consist of two or more EMAs, typically a short-term EMA (e.g., 9-period) and a longer-term EMA (e.g., 21-period). When these two EMAs are plotted together, they create a "cloud" between them. The interaction between these EMAs gives traders critical insights into the market's trend:
Bullish Clouds: When the shorter-term EMA crosses above the longer-term EMA, the market is considered to be in a bullish trend. This creates a green (or lighter colored) cloud between the EMAs, signaling upward momentum. Bullish clouds suggest that buyers are in control, and the price is likely to continue higher.
Bearish Clouds: Conversely, when the shorter-term EMA crosses below the longer-term EMA, the market is considered to be in a bearish trend. This forms a red (or darker colored) cloud between the EMAs, indicating downward momentum. Bearish clouds imply that sellers are dominating the market, and the price is likely to decline.
Key Components of the EMA Clouds Indicator:
Short-Term EMA: This is the fast-moving average (e.g., 9-period EMA) and reacts quickly to recent price changes. It’s used to detect short-term shifts in momentum.
Long-Term EMA: This is the slower-moving average (e.g., 21-period EMA), which smooths out price data over a longer period and identifies the general trend direction.
Cloud: The area between the short-term and long-term EMAs. When this cloud is green (bullish), it indicates that the short-term trend is stronger than the long-term trend. When the cloud turns red (bearish), it suggests that the short-term trend is weaker than the long-term trend.
Cloud Thickness: The thickness of the cloud provides additional information about the strength of the trend. A thicker cloud suggests strong price divergence between short and long-term trends, which could indicate a robust trend. A thinner cloud, on the other hand, may signal trend weakness or consolidation.
Enhanced MACD and RSI Buy/Sell Signals - Created by Marco NucupKey Features:
EMA Filter: Adds an Exponential Moving Average (EMA) to filter signals based on the trend. Buys are only considered when the price is above the EMA, and sells when below it.
Customizable Inputs: Users can adjust parameters for EMA, MACD, and RSI directly from the TradingView interface, allowing for more personalized strategies.
Alerts: The script includes alert conditions for both buy and sell signals, enabling users to receive notifications.
Signal Plotting: Visual indicators for buy and sell signals on the chart, along with the EMA line for trend reference.
TechniTrend: Average VolatilityTechniTrend: Average Volatility
Description:
The "Average Volatility" indicator provides a comprehensive measure of market volatility by offering three different types of volatility calculations: High to Low, Body, and Shadows. The indicator allows users to apply various types of moving averages (SMA, EMA, SMMA, WMA, and VWMA) on these volatility measures, enabling a more flexible approach to trend analysis and volatility tracking.
Key Features:
Customizable Volatility Types:
High to Low: Measures the range between the highest and lowest prices in the selected period.
Body: Measures the absolute difference between the opening and closing prices of each candle (just the body of the candle).
Shadows: Measures the difference between the wicks (shadows) of the candle.
Flexible Moving Averages:
Choose from five different types of moving averages to apply on the calculated volatility:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
SMMA (RMA) (Smoothed Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
Custom Length:
Users can customize the period length for the moving averages through the Length input.
Visualization:
Three separate plots are displayed, each representing the average volatility of a different type:
Blue: High to Low volatility.
Green: Candle body volatility.
Red: Candle shadows volatility.
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This indicator offers a versatile and highly customizable tool for analyzing volatility across different components of price movement, and it can be adapted to different trading styles or market conditions.
Options Series - MTF 1 and 3 Minute
Objective:
The indicator is named "Options Series - MTF 1 and 3 Minute", suggesting it's designed to analyze options series with multiple time frames (MTF), particularly focusing on 1-minute and 3-minute intervals.
OHLC Values Of Candle:
The code fetches the Open, High, Low, and Close (OHLC) values of the current candle for the specified ticker and timeframes (current, 1 minute, and 3 minutes). Additionally, it calculates the 200-period Simple Moving Average (SMA) of the closing prices for each timeframe.
Bull vs. Bear Condition:
It defines conditions for Bullish and Bearish scenarios based on comparing the current close price with the previous 200-period SMA close price for both 1-minute and 3-minute timeframes. If the current close price is higher than the previous 200-period SMA close price, it's considered Bullish, and if it's lower, it's considered Bearish.
Final Color Condition and Plot:
It determines the color of the candlestick based on the Bullish or Bearish condition. If the conditions for a Bullish scenario are met, the candlestick color is set to green (GreenColorCandle). If the conditions for a Bearish scenario are met, the candlestick color is set to red (RedColorCandle). If neither condition is met (i.e., the candle is neither Bullish nor Bearish), the color remains gray.
The code then plots the 200-period SMA values for both 1-minute and 3-minute timeframes and colors them based on the candlestick color. It also colors the bars based on the candlestick color.
Insights:
This indicator focuses on comparing current close prices with the 200-period SMA close prices to determine market sentiment (Bullish or Bearish).
It utilizes multiple time frames (1 minute and 3 minutes) to provide a broader perspective on market movements.
The color-coded candlesticks and bars make it visually easy to identify Bullish and Bearish trends.
This indicator can be used as part trading based on the identified market sentiment.
Dynamic ConfluenceThe Dynamic MA Confluence Indicator is a powerful tool designed to simplify your trading experience by automatically identifying the most influential moving average (MA) lengths on your chart. Whether you're using Simple Moving Averages (SMA) or Exponential Moving Averages (EMA), this indicator helps you pinpoint the MA length that holds the greatest confluence, allowing you to make informed trading decisions with ease.
How It Works:
This indicator analyzes a wide range of moving averages, from short-term to long-term, to determine which ones are closest to each other. By setting a "Proximity Percentage," you can control how close these MAs need to be to be considered as having confluence. The indicator then calculates the average of these close MAs to establish a dynamic support or resistance level on your chart.
Why Use This Indicator?
Automatic Optimization: Unsure of which MA length to apply? The indicator automatically highlights the MA length with the most confluence, giving you a clear edge in identifying significant market levels.
Adaptability: Choose between SMA and EMA to suit your trading strategy and market conditions.
Enhanced Decision-Making: By focusing on the MA length with the greatest influence, you can better anticipate market movements and adjust your strategies accordingly.
Customizable Sensitivity: Adjust the Proximity Percentage to fine-tune the indicator's sensitivity, ensuring it aligns with your trading preferences.
Key Feature:
Current Key Confluence MA Length: Displayed in an optional table, this feature shows the MA length that currently has the most impact on the confluence level, providing you with actionable insights at a glance.
Whether you're a seasoned trader or just starting, the Dynamic MA Confluence Indicator offers a streamlined approach to understanding market dynamics, helping you trade smarter and with more confidence. This presentation text is designed to clearly communicate the purpose, functionality, and benefits of the indicator, making it easy for users to understand its value and how it can enhance their trading strategies.
The Dynamic MA Confluence Indicator is a tool designed to assist traders in analyzing market trends. It should not be considered as financial advice or a guarantee of future performance. Trading involves significant risk, and it is possible to lose more than your initial investment. Users should conduct their own research and consider their financial situation before making trading decisions. Always consult with a financial advisor if you are unsure about any trading strategies or decisions. This disclaimer is intended to remind users of the inherent risks in trading and the importance of conducting their own due diligence.
LRS-Strategy: 200-EMA Buffer & Long/Short Signals LRS-Strategy: 200-EMA Buffer & Long/Short Signals
This indicator is designed to help traders implement the Leveraged Return Strategy (LRS) using the 200-day Exponential Moving Average (EMA) as a key trend-following signal. The indicator offers clear long and short signals by analyzing the price movements relative to the 200-day EMA, enhanced by customizable buffer zones for increased precision.
Key Features:
200-Day EMA: The main trend indicator. When the price is above the 200-day EMA, the market is considered in an uptrend, and when it is below, it indicates a downtrend.
Customizable Buffer Zones: Users can define a percentage buffer around the 200-day EMA (default is 3%). The upper and lower buffer zones help filter out noise and prevent premature signals.
Precise Long/Short Signals:
Long Signal: Triggered when the price moves from below the lower buffer zone, crosses the 200-day EMA, and then breaks above the upper buffer zone.
Short Signal: Triggered when the price moves from above the upper buffer zone, crosses the 200-day EMA, and then breaks below the lower buffer zone.
Alternating Signals: Ensures that a new signal (long or short) is only generated after the opposite signal has been triggered, preventing multiple signals of the same type without a reversal.
Clear Visual Aids: The indicator displays the 200-day EMA and buffer zones on the chart, along with buy (long) and sell (short) signals. This makes it easy to track trends and time entries/exits.
How to Use:
Long Entry: Look for the price to move below the lower buffer, cross the 200-day EMA from below, and then break out of the upper buffer to confirm a long signal.
Short Entry: Look for the price to move above the upper buffer, cross below the 200-day EMA, and then break below the lower buffer to confirm a short signal.
This indicator is perfect for traders who prefer a structured, trend-following approach, using clear rules to minimize noise and identify meaningful long or short opportunities.
