2 MA Simplified Sideways Candle ColorsHow to Use the Indicator: A Simple Guide
This custom indicator colors candlesticks to help you quickly identify market conditions based on two moving averages (9-period and 21-period). Here’s how to get started:
Add the Indicator to Your Chart:
Copy the provided Pine Script code.
Open TradingView and navigate to the Pine Editor.
Paste the code into a new script, save it, and then add the indicator to your chart.
Understand the Candlestick Colors:
Green Candles (Bullish):
Indicates a bullish market when the price is above the 9-period SMA and the 9 SMA is above the 21 SMA.
Red Candles (Bearish):
Indicates a bearish market when the price is below the 21-period SMA and the 9 SMA is below the 21 SMA.
Yellow Candles (Sideways):
Indicates a sideways (neutral) market when:
Condition 1: Price is below the 9 SMA but above the 21 SMA, with the 9 SMA above the 21 SMA, or
Condition 2: The 9 SMA is below the 21 SMA, and the price lies between them.
White Candles (No Clear Signal):
Used when none of the above conditions apply.
Interpreting the Signals:
When you see green candles, the market is showing bullish momentum.
When you see red candles, bearish pressure is dominant.
Yellow candles suggest the market is moving sideways without a strong trend.
White candles mean that none of the specific conditions (bullish, bearish, or sideways) are currently met.
Chart Reference:
The script also plots two moving averages on your chart (a blue line for the 9-period SMA and an orange line for the 21-period SMA). These lines help visualize how price interacts with these averages.
Using the Indicator in Practice:
Once added to your chart, monitor the color of the candlesticks:
Green signals may be opportunities to consider long positions.
Red signals may indicate a good time to consider short positions or tighten stops.
Yellow signals suggest caution as the market isn’t trending strongly.
White candles indicate no strong signal, so it might be a period of consolidation or indecision.
This simple visual cue system allows you to quickly assess market sentiment and make more informed trading decisions based on the relationship between price and the two moving averages.
المتوسطات المتحركة
PENTAD THEORY 30 MINUTE INITIAL BALANCE With Candle HighlightThis indicator is designed to highlight the 30-minute initial balance range, visualize key retracement levels, and provide insights into market behavior based on defined conditions. It also enhances clarity by applying specific color changes to the :06 and :36 minute candle in relative 30-minute intervals.
Key Features:
Initial Balance Box:
Automatically creates a price range (box) representing the first 6 minutes of each 30-minute interval.
The box dynamically updates during this period to capture the high and low prices.
Color-Coded Zones:
Inside the Box: Yellow background indicates price trading within the range.
Above the Box: Green background shows price breaking above the range.
Below the Box: Red background reflects price breaking below the range.
EMA Overlay:
Plots 3 customizable EMAs (default lengths: 9, 21, 55).
Each EMA can be toggled on/off and colored individually for trend analysis.
Retracement Levels:
Automatically calculates and displays key Fibonacci retracement levels (61.8% and 38.2%) based on the box size.
Adds a midline for additional price reference.
Candle Highlighting:
The :06 and :36 minute candle in relative 30-minute intervals is highlighted with a customizable blue color to draw attention to specific market activity.
The break above or below the 6 minute candle or the close of the 6 minute candle outside the box can help determine the direction of the 30-minute interval.
How to Use:
Trend Confirmation:
Use the EMAs to identify overall trend direction. For example, a bullish trend is indicated when shorter EMAs (e.g., 9 EMA) are above longer ones (e.g., 55 EMA).
Breakout and Retracement Analysis:
Watch for price breaking out of the initial balance box.
Observe retracement levels (61.8% and 38.2%) as potential areas for reversal or continuation.
Candle Highlight:
Pay special attention to the :06 or :36 minute candle, which is highlighted to signify its relevance in the relative 30-minute cycle.
Customization:
Adjust colors and EMA settings via the input menu to align with your trading style and chart aesthetics.
Ideal For:
Intraday traders looking to analyze initial balance ranges.
Traders focused on breakout, retracement, and trend-following strategies.
Those who benefit from visual clarity and real-time market insights.
Notes:
Ensure your chart is set to a 3-minute timeframe or lower for optimal performance.
This indicator is most effective when combined with other confluence factors, such as support/resistance zones and volume analysis.
6 Band Parametric EQThis indicator implements a complete parametric equalizer on any data source using high-pass and low-pass filters, high and low shelving filters, and six fully configurable bell filters. Each filter stage features standard audio DSP controls including frequency, Q factor, and gain where applicable. While parametric EQ is typically used for audio processing, this implementation raises questions about the nature of filtering in technical analysis. Why stop at simple moving averages when you can shape your signal's frequency response with surgical precision? The answer may reveal more about our assumptions than our indicators.
Filter Types and Parameters
High-Pass Filter:
A high-pass filter attenuates frequency components below its cutoff frequency while passing higher frequencies. The Q parameter controls resonance at the cutoff point, with higher values creating more pronounced peaks.
Low-Pass Filter:
The low-pass filter does the opposite - it attenuates frequencies above the cutoff while passing lower frequencies. Like the high-pass, its Q parameter affects the resonance at the cutoff frequency.
High/Low Shelf Filters:
Shelf filters boost or cut all frequencies above (high shelf) or below (low shelf) the target frequency. The slope parameter determines the steepness of the transition around the target frequency , with a value of 1.0 creating a gentle slope and lower values making the transition more abrupt. The gain parameter sets the amount of boost or cut in decibels.
Bell Filters:
Bell (or peaking) filters create a boost or cut centered around a specific frequency. A bell filter's frequency parameter determines the center point of the effect, while Q controls the width of the affected frequency range - higher Q values create a narrower bandwidth. The gain parameter defines the amount of boost or cut in decibels.
All filters run in series, processing the signal in this order: high-pass → low shelf → bell filters → high shelf → low-pass. Each stage can be independently enabled or bypassed.
The frequency parameter for all filters represents the period length of the targeted frequency component. Lower values target higher frequencies and vice versa. All gain values are in decibels, where positive values boost and negative values cut.
The 6-Band Parametric EQ combines these filters into a comprehensive frequency shaping tool. Just as audio engineers use parametric EQs to sculpt sound, this indicator lets you shape market data's frequency components with surgical precision. But beyond its technical implementation, this indicator serves as a thought experiment about the nature of filtering in technical analysis. While traditional indicators often rely on simple moving averages or single-frequency filters, the parametric EQ takes this concept to its logical extreme - offering complete control over the frequency domain of price action. Whether this level of filtering precision is useful for analysis is perhaps less important than what it reveals about our assumptions regarding market data and its frequency components.
FON60DK by leventsahThe strategy generates buy and sell signals using the Tillson T3 and TOTT (Twin Optimized Trend Tracker) indicators. Additionally, the Williams %R indicator is used to filter the signals. Below is an explanation of the main components of the code:
1. Input Parameters:
Tillson T3 and TOTT parameters: Separate parameters are defined for both buy (AL) and sell (SAT) conditions. These parameters control the sensitivity and behavior of the indicators.
Williams %R period: The period for the Williams %R indicator is set to determine overbought and oversold levels.
2. Tillson T3 Calculation:
The Tillson T3 indicator is a smoothed moving average that uses an exponential moving average (EMA) with additional smoothing. The formula calculates a weighted average of multiple EMAs to produce a smoother line.
The t3 function computes the Tillson T3 value based on the close price and the input parameters.
3. TOTT Calculation (Twin Optimized Trend Tracker):
The TOTT indicator is a trend-following tool that adjusts its sensitivity based on market conditions. It uses a combination of price action and a volatility coefficient to determine trend direction.
The Var_Func function calculates the TOTT value, which is then used to derive the OTT (Optimized Trend Tracker) levels for both buy and sell conditions.
4. Williams %R Calculation:
Williams %R is a momentum oscillator that measures overbought and oversold levels. It is calculated using the highest high and lowest low over a specified period.
5. Buy and Sell Conditions:
Buy Condition: A buy signal is generated when the Tillson T3 value crosses above the TOTT upper band (OTTup) and the Williams %R is above -20 (indicating an oversold condition).
Sell Condition: A sell signal is generated when the Tillson T3 value crosses below the TOTT lower band (OTTdnS) and the Williams %R is above -70 (used to close long positions).
6. Strategy Execution:
The strategy.entry function is used to open a long position when the buy condition is met.
The strategy.close function is used to close the long position when the sell condition is met.
7. Visualization:
The bars on the chart are colored green when a long position is open.
The Tillson T3, TOTT upper band (OTTup), and TOTT lower band (OTTdn) are plotted on the chart for both buy and sell conditions.
8. Plots:
The Tillson T3 values for buy and sell conditions are plotted in blue.
The TOTT upper and lower bands are plotted in green and red, respectively, for both buy and sell conditions.
Summary:
This strategy combines trend-following indicators (Tillson T3 and TOTT) with a momentum oscillator (Williams %R) to generate buy and sell signals. The use of separate parameters for buy and sell conditions allows for fine-tuning the strategy based on market behavior. The visual elements, such as colored bars and plotted indicators, help traders quickly identify signals and trends on the chart.
Adaptive Moving Averagewhat is the purpose of the indicator?
When short-length moving averages are used as trailing stops, they cause exiting the trade too early. Keeping the length value too high will result in exiting the transaction too late and losing most of the profits earned. I aimed to prevent this problem with this indicator.
what is "Adaptive Moving Average"?
it is a moving average that can change its length on each candle depending on the selected source.
what it does?
The indicator first finds the average lengths of the existing candles and defines different distances accordingly. When the moving average drawn by the indicator enters the area defined as "far" by the indicator, the indicator reduces the length of the moving average, preventing it from moving too far from the price, and continues to do so at different rates until the moving average gets close enough to the price. If the moving average gets close enough to the price, it starts to increase the length of the average and thus the adaptation continues.
how it does it?
Since the change of each trading pair is different in percentage terms, I chose to base the average height of the candles instead of using constant percentage values to define the concept of "far". While doing this, I used a weighted moving average so that the system could quickly adapt to the latest changes (you can see it on line 17). After calculating what percentage of the moving average this value is, I caused the length of the moving average to change in each bar depending on the multiples of this percentage value that the price moved away from the average (look at line 20, 21 and 22). Finally, I created a new moving average using this new length value I obtained.
how to use it?
Although the indicator chooses its own length, we have some inputs to customize it. First of all, we can choose which source we will use the moving average on. The "source" input allows us to use it with other indicators.
"max length" and "min length" determine the maximum and minimum value that the length of the moving average can take.
Apart from this, there are options for you to add a standard moving average to the chart so that you can compare the adaptive moving average, and bollinger band channels that you can use to create different strategies.
This indicator was developed due to the need for a more sophisticated trailing stop, but once you understand how it works, it is completely up to you to combine it with other indicators and create different strategies.
[Sapphire] JetStream (SWMA + Laguerre Filter)A Dynamic Fusion of Sine Weighted Moving Average and Laguerre Filter
The JetStream Indicator is a versatile tool that combines the Sine Weighted Moving Average (SWMA) and the Laguerre Filter. This can be used to dynamically visualize price movements overtime.
Core Components:
Sine Weighted Moving Average (SWMA):
The SWMA applies sine-weighted coefficients to recent price values, producing a responsive moving average that adapts to market conditions.
The plotted SWMA line changes its color based on directional movement:
Cyan: Upward trend.
Gray: Downward trend.
The sensitivity of the SWMA is controlled via the SWMA Length input, allowing users to fine-tune its responsiveness to price changes.
Laguerre Filter:
The Laguerre Filter uses recursive smoothing techniques to extract meaningful trends while minimizing lag.
The filter line dynamically changes color:
Blue: Upward momentum.
White: Downward momentum.
The Laguerre Alpha parameter adjusts the filter's smoothing intensity, giving users control over its reaction to price fluctuations.
Bar Repainting:
The bar coloring feature adds another layer of visualization by dynamically altering bar colors based on the interaction between the SWMA and Laguerre Filter:
White: Both SWMA and Laguerre Filter are trending upward.
Teal: Both SWMA and Laguerre Filter are trending downward.
Cyan: Divergence between the two (one trending upward, the other downward).
OHOL_VWAP_STIts all about OH and OL concept for Nifty Future.
1.When OH candle formed and breaks the high we can enter the position, candle should be below supertrend , moving average and vwap .
2..When OL candle formed and breaks the high we can enter the position, candle should be above supertrend , moving average and vwap .
SOPR | RocheurIntroducing Rocheur’s SOPR Indicator
The Spent Output Profit Ratio (SOPR) indicator by Rocheur is a powerful tool designed for analyzing Bitcoin market dynamics using on-chain data. By leveraging SOPR data and smoothing it through short- and long-term moving averages, this indicator provides traders with valuable insights into market behavior, helping them identify trends, reversals, and potential trading opportunities.
Understanding SOPR and Its Role in Trading
SOPR is a metric derived from on-chain data that measures the profit or loss of spent outputs on the Bitcoin network. It reflects the behavior of market participants based on the price at which Bitcoin was last moved. When SOPR is above 1, it indicates that outputs are being spent at a profit. Conversely, values below 1 suggest that outputs are being spent at a loss.
Rocheur’s SOPR indicator enhances this raw data by incorporating short-term and long-term smoothed trends, allowing traders to observe shifts in market sentiment and momentum.
How It Works
Data Source: The indicator uses SOPR data from Glassnode’s BTC_SOPR metric, updated daily.
Short-Term Trend (STH SOPR):
A Double Exponential Moving Average (DEMA) is applied over a customizable short-term length (default: 150 days).
This reflects recent market participant behavior.
Long-Term Trend (1-Year SOPR):
A Weighted Moving Average (WMA) is applied over a customizable long-term length (default: 365 days).
This captures broader market trends and investor behavior.
Trend Comparison:
Bullish Market: When STH SOPR exceeds the 1-year SOPR, the market is considered bullish.
Bearish Market: When STH SOPR falls below the 1-year SOPR, the market is considered bearish.
Neutral Market: When the two values are equal, the market is neutral.
Visual Representation
The indicator provides a color-coded visual representation for easy trend identification:
Green Bars: Indicate a bullish market where STH SOPR is above the 1-year SOPR.
Red Bars: Represent a bearish market where STH SOPR is below the 1-year SOPR.
Gray Bars: Show a neutral market condition where STH SOPR equals the 1-year SOPR.
The dynamic bar coloring allows traders to quickly assess the prevailing market sentiment and adjust their strategies accordingly.
Customization & Parameters
The SOPR Indicator offers several customizable settings to adapt to different trading styles and preferences:
Short-Term Length: Default set to 150 days, defines the smoothing period for the STH SOPR .
Long-Term Length: Default set to 365 days, defines the smoothing period for the 1-year SOPR.
Color Modes: Choose from seven distinct color schemes to personalize the indicator’s appearance.
Final Note
Rocheur’s SOPR Indicator is a unique tool that combines on-chain data with technical analysis to provide actionable insights for Bitcoin traders. Its ability to blend short- and long-term trends with a visually intuitive interface makes it an invaluable resource for navigating market dynamics. As with all indicators, backtesting and integration into a comprehensive strategy are essential for optimizing performance.
Vitaliby MA and RSI StrategyЭта стратегия использует комбинацию скользящих средних (MA) и индекса относительной силы (RSI) для определения точек входа и выхода из позиций на 1 ч. таймфрейме. Стратегия направлена на использование трендовых сигналов от скользящих средних и подтверждение этих сигналов с помощью RSI.
BS | Buy&Sell Signals With EMAKey Features:
EMA Intersections: Generates clear buy and sell signals based on predefined EMA crossings.
5 EMA Lines: Visualize market trends with five distinct EMA lines plotted on the chart.
Support and Resistance Levels: Easily identify crucial support and resistance levels with our integrated marker.
Comprehensive Indicator Panel: At the bottom of the chart, track Stochastic, RSI, Supertrend, and SMA across multiple timeframes (1m, 5m, 15m, 1H, 4H, Daily, Weekly).
Fully Customizable: Almost every indicator within the tool is adjustable to suit your preferences and trading style.
Alarm Feature: Set up alarms to stay informed of important market movements.
Unlock the full potential of your trading strategy with BS | Buy&Sell Signals With EMA. Customize, analyze, and trade with confidence.
created by @bahadirsezer
BS | Buy&Sell Signals With EMAKey Features:
EMA Intersections: Generates clear buy and sell signals based on predefined EMA crossings.
5 EMA Lines: Visualize market trends with five distinct EMA lines plotted on the chart.
Support and Resistance Levels: Easily identify crucial support and resistance levels with our integrated marker.
Comprehensive Indicator Panel: At the bottom of the chart, track Stochastic, RSI, Supertrend, and SMA across multiple timeframes (1m, 5m, 15m, 1H, 4H, Daily, Weekly).
Fully Customizable: Almost every indicator within the tool is adjustable to suit your preferences and trading style.
Alarm Feature: Set up alarms to stay informed of important market movements.
Unlock the full potential of your trading strategy with BS | Buy&Sell Signals With EMA. Customize, analyze, and trade with confidence.
created by @bahadirsezer
Heikin-Ashi smoothed MA _ ASHeiken Ashi smoothed + it's MA with options
The calculation of the smoothed HA is based on the smoothed HA indicator of jackvmk
ZeroEMA RibbonZeroEMA Ribbon is base on Zero lag EMA having 5 settings in single Indicator. it can be used in the place of EMA.
EMA/RMA clouds by AlpachinoRE-UPLOAD
The indicator is designed for faster trend determination and also provides hints about whether the trend is strong, weaker, or if a range is expected.
It consists of an exponential moving average (EMA) and a slower smoothed moving average (RMA). I chose these because EMA is the fastest and is respected by the market, while I discovered through practice that the market often respects RMA, and in some cases, even more than EMA. Their combination is necessary because I want to take advantage of the best qualities of both averages. Displaying averages based solely on the close values creates a simple line that the market might respect. However, this is often not the case. Market makers know that many traders still believe in the theory that closing above/below an EMA signals a valid new trend. They commonly apply this belief to EMA200. Traders think that if the market closes below EMA, it signals a downtrend. That’s not necessarily true. This misconception often traps inexperienced traders.
For this reason, my indicator does not include a separate line.
I use what are called envelopes. In other words, for both EMA and RMA, the calculation uses the high and low of the selected period, which can be chosen as an input in the indicator.
Why did I choose high and low?
To stabilize price fluctuations as much as possible, especially to allow enough space for the price to react to the moving average. This reaction occurs precisely between the high and low.
Modes:
EMA Cloud – This is the most common envelope in terms of averages. It shows the best reactions with a period of 50.
What should you observe: the alignment of the envelope or its slope.
Usage:
Breakouts through the entire envelope tend to be strong, which signals that the trend may change. However, what interests you most is that the first test of the envelope after a breakout is the most successful entry point for trades in the breakout direction.
In an uptrend, the first support will be the high of the envelope, and the second (let’s call it the "ultimate support") will be the low of the envelope.
If, during an uptrend, the market closes below the low, be cautious, as the trend may reverse.
If the envelope is broken, trade the retest of the envelope.
In general, if the price is above the envelope, focus on long trades; if it’s below the envelope, focus on short trades.
Double Cloud – Since we already know that highs and lows are more relevant for price respect, I utilized this in the double cloud. Here, I use calculations for EMA and RMA highs and EMA and RMA lows.
The core idea is that since the price often reacts more to RMA than EMA, I wanted to eliminate attempts by market makers to lure you into incorrect directions. By creating more space for the price to react to the highs or lows, I made the cloud fill the area between EMA and RMA highs. This serves as the last zone where the price can hold. If the price breaks above this high cloud during a return, this doesn’t happen randomly—you should pay attention, as it’s likely signaling a range or a trend change.
The same applies to the low cloud for EMA and RMA.
The advantage of the double cloud is that you can see two clouds that may move sideways. This can resemble two walls—and they really act as such.
Usage:
Let’s say we have a downtrend. The market seems to be experiencing a downtrend exhaustion. Here's the behavior you might observe:
The price returns to the EMA/RMA low; the first reaction may still have some strength, but each subsequent return will move higher and higher into the cloud with increasingly smaller rejections downward. This indicates the absorption of selling pressure by bullish pressure. Eventually, the price may close above the cloud, significantly disrupting the downtrend and potentially signaling a reversal.
A confirmation of the reversal is usually seen with a retest of the cloud and a bounce upward into an uptrend.
The second scenario, which you’ll often see, involves sharp and significant moves through both envelopes. This kind of move is the strongest signal of a trend change. However, do not jump into trades immediately—wait for the first retest, which is usually successful. Additional tests may not work, as the breakout might not signify a trend change but rather a range.
When the clouds are far apart, it signals a weak trend or that the market is in a range. You will see that this is generally true. When the clouds cross or overlap, their initial point of contact signals the start of a stronger trend. The steeper the slope, the stronger the trend.
Kagan Daily EMAsThis script plots daily EMAs (5, 8, 13, 21, 34, 55, 89, 144, 233) on any chart, making it perfect for multi-timeframe analysis. You can toggle each EMA on or off and apply optional smoothing to reduce noise. By displaying higher-timeframe daily trends over your current timeframe, you gain quick insight into major support/resistance zones and the broader market context, all in one place.
percentage near moving averageit alert percentage near any moving average. now we can get some alert when price is near that moving average
Dinesh 7 EMAits a indicator for 7 moving average . it show 5 , 10 ,21, 50 , 100, 150 and 200 moving average
Relative Strength Index with MA Strategy [QuocMinhOfficial}Giải thích các thay đổi:
Định nghĩa Tín hiệu Mua (Buy) và Bán (Sell):
Buy: Sử dụng hàm Cross(rsiMA2, rsiMA3) để xác định khi đường RSI MA2 cắt lên trên đường RSI MA3.
Sell: Sử dụng hàm Cross(rsiMA3, rsiMA2) để xác định khi đường RSI MA2 cắt xuống dưới đường RSI MA3.
Điều chỉnh Filter:
Ban đầu, trong code của bạn có Filter = Buy AND Sell; điều này luôn luôn sai vì một giao dịch không thể vừa mua vừa bán cùng một lúc. Thay vào đó, chúng ta sử dụng Filter = Buy OR Sell; để lọc các giao dịch mua và bán riêng biệt.
Thêm Các Cột Hiển Thị (Tu yong):
Sử dụng AddColumn để hiển thị các giá trị RSI và các đường MA tương ứng trong kết quả backtest, giúp bạn dễ dàng theo dõi và phân tích.
Ghi chú:
Nếu bạn muốn thêm các điều kiện bổ sung cho tín hiệu mua bán (ví dụ: chỉ mua khi RSI trên 50), bạn có thể kết hợp các điều kiện bằng toán tử AND hoặc OR như trong ví dụ đã thêm.
Hãy đảm bảo rằng bạn kiểm tra lại logic và kết quả backtest để xác nhận rằng tín hiệu mua bán hoạt động như mong đợi.
Trading TimesThis script is based on the 9 and 20 EMA Strategy and combines Fibonacci Levels for added confluence.
When the price retests after breaking the EMAs, we take the trade in the same direction. That is on breakup, we take a long and on a breakdown we take a short.
VWAP can be enabled from settings for more data. institutions use it to average out their trades for both buy and sell orders.
MDM Customizable 5 EMAAwork in progress for ema students. analysis is my dream to master the market .i wanna gert in when the market reverses and this scrip is the begining of my education.
Asymmetric Coinbase Premium Histogram with SMAAsymmetric Coinbase Premium Histogram with Simple Moving Average
Combined IQ Zones, VWAP, EMA, S/RCombined IQ Zones, VWAP, EMA, S/R
Combined IQ Zones, VWAP, EMA, S/R
Combined IQ Zones, VWAP, EMA, S/R
Combined IQ Zones, VWAP, EMA, S/R
Combined IQ Zones, VWAP, EMA, S/R
DJAM MAVS PLUS+ Entries + ExitsDJAM-MAVS PLUS+
A Versatile Moving Averages & Signals Indicator
The DJAM-MAVS PLUS+ is an all-in-one technical indicator designed for traders who value precision and clarity in analyzing market trends. Built for traders of all experience levels, this tool combines the power of multiple moving averages and exponential moving averages (MA & EMA) with visual signals to highlight critical market trends and crossovers.
Key Features:
Customizable Moving Averages & EMAs: Includes adjustable lengths for:
2-Day MA & EMA
13-Day MA
50-Day MA
60-Day MA
8-Day EMA
39-Day EMA
100-Day MA
200-Day MA
Visual Crossovers: Highlights bullish and bearish crossover conditions between key MAs and EMAs with green and red vertical background bars for easy trend identification.
Anchor Period: Customize the anchor period to align with different timeframes like Sessions, Weeks, Months, or even Years, enhancing its flexibility for various trading styles.
Stochastic Bands Multiplier: Adjust the bands with a customizable multiplier for a more granular analysis of market volatility.
Optimized for Overlay Use: Plots directly on your chart, providing an uncluttered yet highly informative view of the market.
Why Choose DJAM-MAVS PLUS+?
This indicator empowers you to:
Identify potential trend reversals with ease.
Monitor short-term and long-term trends simultaneously.
Gain a clearer visual representation of key market signals through colored crossovers.
Tailor the settings to fit your unique trading strategy.
Who is it for?
Swing traders seeking reliable trend-following signals.
Day traders who need clarity on short-term momentum shifts.
Long-term investors looking to confirm major trend changes.
How to Use:
Customize Inputs: Tailor the moving average and EMA lengths to match your strategy.
Monitor Crossovers: Watch for green and red background bars to signal potential bullish or bearish momentum shifts.
Adapt Anchor Periods: Use the indicator across various timeframes, from daily to yearly, for enhanced market insights.
Join the Community
The DJAM-MAVS PLUS+ is more than just an indicator; it's your edge in the market. Share your feedback, strategies, and experiences with the TradingView community to help refine and optimize this tool for all traders.
Visit my Website @ CryptoJamz.com or Follow Me on StockTwits.com @ StockTwits.com
