DSKOLI TableThis helps to determine bullish or bearish trend of any chart on any generally available time-frame and good to have for Intraday watch.
Details -
a. Points shown in table shows the difference of last shown price from specified EMAs, this helps to know the price movement of candles are above or below the EMA and its coloured with red and green which even further helps to determine its existing trend.
Note or Disclaimer:
1. This may be considered only for Watching as Learning and informational purpose.
2. Take advice from financial advisor before entering, holding, converting or exiting from any order or trade.
3. Always keep your acceptable stop-loss in all your transactions while trading or investing.
DSKOLI or TradingView reserves all right and don't hold any responsibilities for any loss/losses as well as accuracy of levels or price movement.
Media mobile esponenziale (EMA)
Multi MAs mit LabelA MA (Moving Average) is useful to identify a trend of an assets. The TradingView builtin indicator "Exponential Moving Average" is useful, but limited in some aspects:
Bound to the active timeframe (e.g. h1)
One MA per indicator instance. Makes it confusing when using multiple
In reality to want to have multiple MAs with different types (EMA, SMA), length and timeframes on your chart to identify trading opportunities. As an example you can use the daily EMA12 and EMA21 to identify the trend and EMA200 on the h4 to enter a trade. That's what this script is used for.
The provided script is an extension to the indicator powered by chipmonk (link to profile below). The original script let you add up to 8 EMAs that can be bound to any timeframe and length. The timeframe and length is displayed on the chart next to EMA.
Unfortunately you can only add EMAs (Exponential Moving Averages) and no SMAs (Simple Moving Averages). That's why the script was extended. You can now choose the type (EMA or SMA) for up to 8 MAs.
Links
Profile of chipmonk
Indicator by chipmonk
Trend Pinbar PT49 by CuancuanIdea Behind:
Buying the short-term trend that shows a pin-bar candlestick pattern. Meant to be traded on a daily chart / higher timeframe.
To determine the short-term trend we use short EMA such as 8-16-30 and check the slope of each one, and definitely, the shorter one must be above the longer one for an uptrend. Vice versa for a downtrend.
To determine a pin-bar candlestick, I calculate that the body size (open to close) is at maximum a-third of the candle size (high to low). Besides that, I ensure that the close of the candle is above the shortest MA for bullish and below it for bearish.
As extra filters to reduce trade numbers:
1. Longer MA Filter = You can turn it off if you think the higher timeframe filter is unnecessary.
2. Slope Filter = To ensure the slope of the shorter MA is steeper rather than the mid-MA.
3. Size Filter = To check whether the overall candle size (high to low) is bigger than the ATR number. When the size filter is turned on, it removes small insignificant candles.
PS: Don't trade anything live unless you find it comfortable after backtesting it by yourself .
Trend Change IndicatorThe Trend Change Indicator is an all-in-one, user-friendly trend-following tool designed to identify bullish and bearish trends in asset prices. It features adjustable input values and a built-in alert system that promptly notifies investors of potential shifts in both short-term and long-term price trends. This alert system is crucial for helping less active investors correctly position themselves ahead of major trend shifts and assists in risk management after a trend is established. It's important to note that this indicator is most effective with assets that historically exhibit strong trends.
At the heart of this tool is the interaction between the 30-day and 60-day Exponential Moving Averages (EMA). A bullish trend is indicated in green when the 30-day EMA is above the 60-day EMA, while a bearish trend is signaled in red when the 30-day EMA is below the 60-day EMA. The appearance of gray alerts users to potential shifts in the current trend as the EMAs converge, falling below the Average True Range (ATR) safety margin. This analysis is conducted across both hourly and daily timeframes, with the 4-hour timeframe providing early signals for daily trend changes. The band visually represents the interaction between the daily EMAs and is also displayed in the second row of the table, with the first row showing the same EMA interaction on the 4-hour timeframe.
This indicator also includes a 140-day (20-week) Simple Moving Average (SMA), visually represented by a line with predictive dots. This feature significantly enhances the investor's ability to understand long-term trends in asset prices, offering forward-looking insights by projecting the SMA value 10 days into the future. The value of this forecast lies in interpreting the slope of the dots; upward trending dots suggest a bullish underlying trend, while downward trending dots indicate a bearish trend. Generally, prices above the SMA signal bullishness, and prices below indicate bearishness.
In summary, the Trend Change Indicator is a comprehensive solution for identifying price trends and managing risk. Its intuitive, color-coded design makes it an indispensable tool for traders and investors who aim to be well-positioned ahead of trend shifts and manage risk once a trend has been established. While it has proven historically valuable in trending markets such as cryptocurrencies, tech stocks, and commodities, it is advisable to use this indicator in conjunction with other technical analysis tools for a more comprehensive and well-rounded decision-making process.
Bitcoin ETFs Clustered EMA [UOI]The 'Bitcoin ETFs Clustered EMA ' is designed to track and analyze the combined movement of various Bitcoin-related ETFs. This indicator incorporates a range of prominent ETFs, including iShares Bitcoin (IBIT), Bitwise Bitcoin (BITB), Tidal Bitcoin (DEFI), ARK Bitcoin (ARKB), Grayscale Bitcoin (GBTC), Fidelity Bitcoin (FBTC), WisdomTree Bitcoin (BTCW), Invesco Bitcoin (BTCO), Valkyrie Bitcoin (BRRR), VanEck Bitcoin (HODL), and Franklin Bitcoin (EZBC). By normalizing their prices to a unified scale and applying Exponential Moving Averages (EMAs) of different lengths (Short, Long, and Extra Long), it provides a comprehensive view of the aggregated trend strength and direction in the Bitcoin ETF market. Its color-coded plotting system offers quick visual cues for market sentiment, making it an invaluable tool for traders focusing on Bitcoin-related securities.
Apply this indicator to the charts of NASDAQ:MARA or AMEX:SPY to see how you can effectively trade these ETFs.
Remember, these do not trade 24/7, so when applied to a Bitcoin chart, the indicator only properly shows during regular trading hours. Also, since these ETFs were recently launched, don't expect them to work properly on longer timeframes like the daily chart. You need to use it on lower timeframes; otherwise, the EMAs may not display correctly. As time passes, you will be able to use it on higher timeframes.
EMA + Lower Timeframe EMA (correct display in Replay Mode)This indicator shows
one EMA for the current timeframe
one EMA for a lower timeframe
Unlike the built-in Tradingview EMA indicator, this indicator shows the correct values for the lower timeframe EMA during Replay Mode.
{Gunzo} Trend Sniper (Multiple MAs with coefficient)Updated GUNZO's Trend Sniper script by adding in different MA types to choose from. This can help reduce false signals and sharpen the trend reversal points.
Here's a summary of the key changes:
1. Multiple Moving Average Types: The original script was focused solely on the Weighted Moving Average (WMA) with a coefficient. The updated script introduces flexibility by allowing users to choose from a variety of Moving Average types, including WMA, VWMA (Volume Weighted Moving Average), EMA (Exponential Moving Average), SMA (Simple Moving Average), HullMA (Hull Moving Average), TEMA (Triple Exponential Moving Average), DEMA (Double Exponential Moving Average), T3, and RMA (Running Moving Average).
2. Coefficient Integration: In the original script, the coefficient was specifically designed for the WMA calculation. The updated script extends this concept to all the selected Moving Average types. This coefficient is applied differently depending on the type of MA, often affecting the length of the MA calculation.
3. Dynamic Length Calculation: For MAs that traditionally use an integer length (like SMA, EMA, etc.), the updated script calculates this length dynamically by multiplying the user-defined length by the coefficient and then rounding it to the nearest integer. This ensures compatibility with Pine Script's requirements for these functions.
All credits to GUNZO
original script:
Zero-lag Volatility-Breakout EMA Trend StrategyThis is a simple volatility-breakout strategy which uses the difference in two different zero-lag* EMAs (explained below on what exactly I mean by this) to track the upwards or downwards strength of an instrument. When the difference breaks above a Bollinger Band of a configurable standard deviation multiple, the strategy enters based off the direction of the base EMA used (i.e. if the difference breaks above and the current EMA is rising, a long entry is produced. If the difference breaks above and the current EMA is falling, a short entry is produced).
The two EMA-type metrics used to calculate the volatility difference are calculated by the following formula:
top_ema = math.max(src, ta.ema(src, length))
bottom_ema = math.min(src, ta.ema(src, length))
ema_difference = (top_ema - bottom_ema) - 1
This produces a difference which responds immediately to large price movements, instead of lagging if it used strictly the EMA itself.
SETTINGS
Source : The source of the strategy - close, hlc3, another indicator plot, etc.
EMA Difference Length : The length of both the EMA difference statistics and the base EMA used to calculate the entry side.
Standard Deviation Multiple : The Bollinger Bands multiple used when the difference is breaking out.
Use Binary Strategy : The strategy has two configurations: Binary and Rapid-Exit. 'Binary' means that it will not close a long position until a short position is generated, and vice-versa. 'Rapid-Exit' will close a long or short position once the difference reaches the middle Bollinger Band MA. This means that turning on 'Binary' will expose you to more market risk, but potentially greater market return. Turning off 'Binary' will exit quickly and reduce drawdown.
The strategy results below use 10% equity and 0.1% fees per trade.
CARNAC Magic DCAThe "CARNAC Magic DCA" indicator is designed for investors looking for the best opportunities for Dollar-Cost Averaging (DCA).
How it works:
The Carnac Dynamic DCA Threshold calculates a dynamic threshold for DCA entries using Exponential Moving Average (EMA), Average True Range (ATR), and the maximum distance from the EMA over a full lookback period, aiding in identifying optimal buy opportunities. It also only signals a DCA buying opportunity after a bearish candle, which helps lower the average DCA price.
Configurable Inputs:
EMA Start Length: Sets the initial length for the series of EMAs, affecting their sensitivity to price changes.
ATR Length: Determines the period for the ATR calculation, influencing the dynamic DCA threshold's responsiveness to market volatility.
ATR Multiplier: Modifies the impact of the ATR on the DCA threshold, allowing for finer control over the threshold's sensitivity to volatility.
Start Calculation From: Enables setting a specific start date for calculations, tailoring the analysis to a particular trading period.
DCA Buy Signal Alert: Generates an alert when the price is below both the dynamic DCA threshold and the opening price, indicating a potential buy signal based on DCA strategy.
Ten EMAs: Carnac Magic DCA includes a ten EMA plot, which decrease in length from the user-defined starting length, offering a multi-layered trend analysis.
EMA Color Coding: The sequential arrangement of EMAs is visually represented through color coding, facilitating quick trend recognition.
Average Buy Price Analysis: Calculates and displays the average buy price and its percentage difference from the average closing price since the user-defined start date, helping assess the strategy’s effectiveness compared to traditional DCA methods (purchasing at the close of every candle).
Visual Indicators and Labels: Includes visual alerts for buy signals and informative labels showing average buy prices and related statistics.
PlayBit EMAPlayBit EMA Indicator
Introducing the PlayBit EMA, a highly esteemed technical analysis tool within the PlayBit Community and a personal favorite of Bitcoin Playboy. This indicator has cemented its place as a staple among traders for its simplicity and effectiveness.
Key Features:
PB EMA: Utilizes two Exponential Moving Averages (EMAs) to identify support and resistance zones and help identify potential reversal points.
Dynamic Fill Color:
The fill color will change based on if the closing price is above, below, or in between.
This indicator is not only a reflection of market dynamics but also an essential tool for traders looking to make informed decisions based on the relationship between price action and moving averages. Whether you're a seasoned trader or just starting out, the PlayBit EMA is an invaluable addition to your trading arsenal.
CARNAC Elasticity IndicatorThe CARNAC Elasticity Indicator (EI) is a technical analysis tool designed for traders and investors using TradingView. It calculates the percentage deviation of the current price from an Exponential Moving Average (EMA) and helps traders identify potential overbought and oversold conditions in a financial instrument.
Key Features:
EMA Length: Users can customize the length of the Exponential Moving Average (EMA) used in the calculations by adjusting the "EMA Length" parameter in the indicator settings.
Percentage Deviation: The indicator calculates the percentage deviation of the current price from the EMA. Positive values indicate prices above the EMA, while negative values indicate prices below the EMA.
Maximum Deviations: The indicator tracks the maximum positive (above EMA) and negative (below EMA) percentage deviations over time, allowing traders to monitor extreme price movements.
Bands: Upper and lower bands are displayed on the indicator chart at 100 and -100, respectively. Additionally, dashed middle bands at 50 and -50 provide reference points for moderate deviations.
Dynamic Color Coding: The indicator uses dynamic color coding to highlight the current percentage deviation. It turns red for values above 50 (indicating potential overbought conditions), green for values below -50 (indicating potential oversold conditions), and purple for values in between.
How to Use:
Overbought Conditions: Watch for the percentage deviation to cross above 50, indicating potential overbought conditions. This might be a signal to consider selling or taking profits.
Oversold Conditions: Look for the percentage deviation to cross below -50, signaling potential oversold conditions. This could be an opportunity to consider buying or entering a long position.
Historical Extremes: Keep an eye on the upper and lower bands (100 and -100) to identify historical extremes in percentage deviation.
The CARNAC Elasticity Indicator can be a valuable tool for traders seeking to identify potential trend reversals and assess the strength of price movements. However, it should be used in conjunction with other technical analysis tools and risk management strategies for comprehensive trading decisions.
The Flash-Strategy with Minervini Stage Analysis QualifierThe Flash-Strategy (Momentum-RSI, EMA-crossover, ATR) with Minervini Stage Analysis Qualifier
Introduction
Welcome to a comprehensive guide on a cutting-edge trading strategy I've developed, designed for the modern trader seeking an edge in today's dynamic markets. This strategy, which I've honed through my years of experience in the trading arena, stands out for its unique blend of technical analysis and market intuition, tailored specifically for use on the TradingView platform.
As a trader with a deep passion for the financial markets, my journey began several years ago, driven by a relentless pursuit of a trading methodology that is both effective and adaptable. My background in trading spans various market conditions and asset classes, providing me with a rich tapestry of experiences from which to draw. This strategy is the culmination of that journey, embodying the lessons learned and insights gained along the way.
The cornerstone of this strategy lies in its ability to generate precise long signals in a Stage 2 uptrend and equally accurate short signals in a Stage 4 downtrend. This approach is rooted in the principles of trend following and momentum trading, harnessing the power of key indicators such as the Momentum-RSI, EMA Crossover, and Average True Range (ATR). What sets this strategy apart is its meticulous design, which allows it to adapt to the ever-changing market conditions, providing traders with a robust tool for navigating both bullish and bearish scenarios.
This strategy was born out of a desire to create a trading system that is not only highly effective in identifying potential trade setups but also straightforward enough to be implemented by traders of varying skill levels. It's a reflection of my belief that successful trading hinges on clarity, precision, and disciplined execution. Whether you are a seasoned trader or just beginning your journey, this guide aims to provide you with a comprehensive understanding of how to harness the full potential of this strategy in your trading endeavors.
In the following sections, we will delve deeper into the mechanics of the strategy, its implementation, and how to make the most out of its features. Join me as we explore the nuances of a strategy that is designed to elevate your trading to the next level.
Stage-Specific Signal Generation
A distinctive feature of this trading strategy is its focus on generating long signals exclusively during Stage 2 uptrends and short signals during Stage 4 downtrends. This approach is based on the widely recognized market cycle theory, which divides the market into four stages: Stage 1 (accumulation), Stage 2 (uptrend), Stage 3 (distribution), and Stage 4 (downtrend). By aligning the signal generation with these specific stages, the strategy aims to capitalize on the most dynamic and clear-cut market movements, thereby enhancing the potential for profitable trades.
1. Long Signals in Stage 2 Uptrends
• Characteristics of Stage 2: Stage 2 is characterized by a strong uptrend, where prices are consistently rising. This stage typically follows a period of accumulation (Stage 1) and is marked by increased investor interest and bullish sentiment in the market.
• Criteria for Long Signal Generation: Long signals are generated during this stage when the technical indicators align with the characteristics of a Stage 2 uptrend.
• Rationale for Stage-Specific Signals: By focusing on Stage 2 for long trades, the strategy seeks to enter positions during the phase of strong upward momentum, thus riding the wave of rising prices and investor optimism. This stage-specific approach minimizes exposure to less predictable market phases, like the consolidation in Stage 1 or the indecision in Stage 3.
2. Short Signals in Stage 4 Downtrends
• Characteristics of Stage 4: Stage 4 is identified by a pronounced downtrend, with declining prices indicating prevailing bearish sentiment. This stage typically follows the distribution phase (Stage 3) and is characterized by increasing selling pressure.
• Criteria for Short Signal Generation: Short signals are generated in this stage when the indicators reflect a strong bearish trend.
• Rationale for Stage-Specific Signals: Targeting Stage 4 for shorting capitalizes on the market's downward momentum. This tactic aligns with the natural market cycle, allowing traders to exploit the downward price movements effectively. By doing so, the strategy avoids the potential pitfalls of shorting during the early or late stages of the market cycle, where trends are less defined and more susceptible to reversals.
In conclusion, the strategy’s emphasis on stage-specific signal generation is a testament to its sophisticated understanding of market dynamics. By tailoring the long and short signals to Stages 2 and 4, respectively, it leverages the most compelling phases of the market cycle, offering traders a clear and structured approach to aligning their trades with dominant market trends.
Strategy Overview
At the heart of this trading strategy is a philosophy centered around capturing market momentum and trend efficiency. The core objective is to identify and capitalize on clear uptrends and downtrends, thereby allowing traders to position themselves in sync with the market's prevailing direction. This approach is grounded in the belief that aligning trades with these dominant market forces can lead to more consistent and profitable outcomes.
The strategy is built on three foundational components, each playing a critical role in the decision-making process:
1. Momentum-RSI (Relative Strength Index): The Momentum-RSI is a pivotal element of this strategy. It's an enhanced version of the traditional RSI, fine-tuned to better capture the strength and velocity of market trends. By measuring the speed and change of price movements, the Momentum-RSI provides invaluable insights into whether a market is potentially overbought or oversold, suggesting possible entry and exit points. This indicator is especially effective in filtering out noise and focusing on substantial market moves.
2. EMA (Exponential Moving Average) Crossover: The EMA Crossover is a crucial component for trend identification. This strategy employs two EMAs with different timeframes to determine the market trend. When the shorter-term EMA crosses above the longer-term EMA, it signals an emerging uptrend, suggesting a potential long entry. Conversely, a crossover below indicates a possible downtrend, hinting at a short entry opportunity. This simple yet powerful tool is key in confirming trend directions and timing market entries.
3. ATR (Average True Range): The ATR is instrumental in assessing market volatility. This indicator helps in understanding the average range of price movements over a given period, thus providing a sense of how much a market might move on a typical day. In this strategy, the ATR is used to adjust stop-loss levels and to gauge the potential risk and reward of trades. It allows for more informed decisions by aligning trade management techniques with the current volatility conditions.
The synergy of these three components – the Momentum-RSI, EMA Crossover, and ATR – creates a robust framework for this trading strategy. By combining momentum analysis, trend identification, and volatility assessment, the strategy offers a comprehensive approach to navigating the markets. Whether it's capturing a strong trend in its early stages or identifying a potential reversal, this strategy aims to provide traders with the tools and insights needed to make well-informed, strategically sound trading decisions.
Detailed Component Analysis
The efficacy of this trading strategy hinges on the synergistic functioning of its three key components: the Momentum-RSI, EMA Crossover, and Average True Range (ATR). Each component brings a unique perspective to the strategy, contributing to a well-rounded approach to market analysis.
1. Momentum-RSI (Relative Strength Index)
• Definition and Function: The Momentum-RSI is a modified version of the classic Relative Strength Index. While the traditional RSI measures the velocity and magnitude of directional price movements, the Momentum-RSI amplifies aspects that reflect trend strength and momentum.
• Significance in Identifying Trend Strength: This indicator excels in identifying the strength behind a market's move. A high Momentum-RSI value typically indicates strong bullish momentum, suggesting the potential continuation of an uptrend. Conversely, a low Momentum-RSI value signals strong bearish momentum, possibly indicative of an ongoing downtrend.
• Application in Strategy: In this strategy, the Momentum-RSI is used to gauge the underlying strength of market trends. It helps in filtering out minor fluctuations and focusing on significant movements, providing a clearer picture of the market's true momentum.
2. EMA (Exponential Moving Average) Crossover
• Definition and Function: The EMA Crossover component utilizes two exponential moving averages of different timeframes. Unlike simple moving averages, EMAs give more weight to recent prices, making them more responsive to new information.
• Contribution to Market Direction: The interaction between the short-term and long-term EMAs is key to determining market direction. A crossover of the shorter EMA above the longer EMA is an indicator of an emerging uptrend, while a crossover below signals a developing downtrend.
• Application in Strategy: The EMA Crossover serves as a trend confirmation tool. It provides a clear, visual representation of the market's direction, aiding in the decision-making process for entering long or short positions. This component ensures that trades are aligned with the prevailing market trend, a crucial factor for the success of the strategy.
3. ATR (Average True Range)
• Definition and Function: The ATR is an indicator that measures market volatility by calculating the average range between the high and low prices over a specified period.
• Role in Assessing Market Volatility: The ATR provides insights into the typical market movement within a given timeframe, offering a measure of the market's volatility. Higher ATR values indicate increased volatility, while lower values suggest a calmer market environment.
• Application in Strategy: Within this strategy, the ATR is instrumental in tailoring risk management techniques, particularly in setting stop-loss levels. By accounting for the market's volatility, the ATR ensures that stop-loss orders are placed at levels that are neither too tight (risking premature exits) nor too loose (exposing to excessive risk).
In summary, the combination of Momentum-RSI, EMA Crossover, and ATR in this trading strategy provides a comprehensive toolkit for market analysis. The Momentum-RSI identifies the strength of market trends, the EMA Crossover confirms the market direction, and the ATR guides in risk management by assessing volatility. Together, these components form the backbone of a strategy designed to navigate the complexities of the financial markets effectively.
1. Signal Generation Process
• Combining Indicators: The strategy operates by synthesizing signals from the Momentum-RSI, EMA Crossover, and ATR indicators. Each indicator serves a specific purpose: the Momentum-RSI gauges trend momentum, the EMA Crossover identifies the trend direction, and the ATR assesses the market’s volatility.
• Criteria for Signal Validation: For a signal to be considered valid, it must meet specific criteria set by each of the three indicators. This multi-layered approach ensures that signals are not only based on one aspect of market behavior but are a result of a comprehensive analysis.
2. Conditions for Long Positions
• Uptrend Confirmation: A long position signal is generated when the shorter-term EMA crosses above the longer-term EMA, indicating an uptrend.
• Momentum-RSI Alignment: Alongside the EMA crossover, the Momentum-RSI should indicate strong bullish momentum. This is typically represented by the Momentum-RSI being at a high level, confirming the strength of the uptrend.
• ATR Consideration: The ATR is used to fine-tune the entry point and set an appropriate stop-loss level. In a low volatility scenario, as indicated by the ATR, the stop-loss can be set tighter, closer to the entry point.
3. Conditions for Short Positions
• Downtrend Confirmation: Conversely, a short position signal is indicated when the shorter-term EMA crosses below the longer-term EMA, signaling a downtrend.
• Momentum-RSI Confirmation: The Momentum-RSI should reflect strong bearish momentum, usually seen when the Momentum-RSI is at a low level. This confirms the bearish strength of the market.
• ATR Application: The ATR again plays a role in determining the stop-loss level for the short position. Higher volatility, as indicated by a higher ATR, would warrant a wider stop-loss to accommodate larger market swings.
By adhering to these mechanics, the strategy aims to ensure that each trade is entered with a high probability of success, aligning with the market’s current momentum and trend. The integration of these indicators allows for a holistic market analysis, providing traders with clear and actionable signals for both entering and exiting trades.
Customizable Parameters in the Strategy
Flexibility and adaptability are key features of this trading strategy, achieved through a range of customizable parameters. These parameters allow traders to tailor the strategy to their individual trading style, risk tolerance, and specific market conditions. By adjusting these parameters, users can fine-tune the strategy to optimize its performance and align it with their unique trading objectives. Below are the primary parameters that can be customized within the strategy:
1. Momentum-RSI Settings
• Period: The lookback period for the Momentum-RSI can be adjusted. A shorter period makes the indicator more sensitive to recent price changes, while a longer period smoothens the RSI line, offering a broader view of the momentum.
• Overbought/Oversold Thresholds: Users can set their own overbought and oversold levels, which can help in identifying extreme market conditions more precisely according to their trading approach.
2. EMA Crossover Settings
• Timeframes for EMAs: The strategy uses two EMAs with different timeframes. Traders can modify these timeframes, choosing shorter periods for a more responsive approach or longer periods for a more conservative one.
• Source Data: The choice of price data (close, open, high, low) used in calculating the EMAs can be varied depending on the trader’s preference.
3. ATR Settings
• Lookback Period: Adjusting the lookback period for the ATR impacts how the indicator measures volatility. A longer period may provide a more stable but less responsive measure, while a shorter period offers quicker but potentially more erratic readings.
• Multiplier for Stop-Loss Calculation: This parameter allows traders to set how aggressively or conservatively they want their stop-loss to be in relation to the ATR value.
Here are the standard settings:
Trend Finding by EMAsINTRO
This indicator is a price action based tool used to visualize trends using Exponential Moving Averages (EMAs).
CONCEPTS
It's created with two EMAs with different lengths (9 and 15) based on user-defined parameters. The script calculates the EMAs for the given lengths using the closing prices of the asset.
The EMAs are plotted on the chart, and their colors are dynamically determined by a conditional statement. If slower EMA is crossing above the faster EMA than the color will be change, And vise-versa for the opposite.
USES:-
The visualization of EMAs in different colors assists in identifying potential trends:
a bullish trend when EMAs color is Blue
and a bearish trend when EMAs color are Red.
Purpose
This script provides a quick visual representation of potential trend changes based on the relationship between these two EMAs.
ASFX SignalsDescription:
The ASFX Signals Indicator, created by OmegaTools, is an open-source Pine Script™ code designed to provide traders with valuable signals for potential entry and exit points in the market. This script incorporates a combination of Exponential Moving Average (EMA) signals and Volume Weighted Average Price (VWAP) confluence, enhancing the precision of trading decisions.
Key Features:
Threshold Configuration: Users can customize the threshold parameter (thres) to fine-tune signal sensitivity, adapting the indicator to different market conditions.
EMA Length Customization: The script allows traders to adjust the length of the Exponential Moving Average (EMA) with the "EMA Length" input, providing flexibility in capturing various trends.
Show/Hide Options: Users have the flexibility to choose whether to display the EMA line, VWAP confluence, and VWAP upper and lower bands, tailoring the visual representation based on individual preferences.
VWAP Confluence: The indicator integrates VWAP confluence, offering additional confirmation for trading signals. Traders can choose the VWAP resolution and set the deviation parameter for enhanced accuracy.
Signal Filtering: The script intelligently filters signals based on the percentage of the candle that crosses the EMA. Long signals are filtered out if the closing price is above the VWAP or the specified threshold, and short signals are filtered out if the closing price is below the VWAP or the threshold.
Visual Signals: The indicator provides clear visual signals for long and short entries, making it easy for traders to identify potential opportunities. The signals are accompanied by arrows and labels for quick interpretation.
How to Use:
Adjust the threshold, EMA length, and VWAP parameters based on your trading preferences.
Choose whether to display the EMA line, VWAP confluence, and upper/lower bands.
Interpret long and short signals for potential entry and exit points, considering the percentage of the candle that crosses the EMA.
Consider additional confirmation provided by VWAP confluence.
Concepts and Methodology:
The ASFX Signals Indicator combines EMA signals and VWAP confluence to generate actionable trading signals. The script intelligently considers the percentage of the candle that crosses the EMA, providing a nuanced approach to signal confirmation. The EMA offers trend insights, while VWAP confluence enhances signal reliability.
FlexiMA Variance Tracker [presentTrading]🔶 Introduction and How it is Different
The FlexiMA Variance Tracker (FlexiMA-VT) represents a novel approach in technical analysis, distinctively standing out in the realm of financial market indicators. It leverages the concept of a variable Length Moving Average (MA) to create a versatile and dynamic oscillator. Unlike traditional oscillators that rely on a fixed-length MA, the FlexiMA-VT adapts to market conditions by varying the length of the MA, offering a more responsive and nuanced view of market trends. (*The achieved method took reference from SuperTrend Polyfactor Oscillator)
This innovative design allows the FlexiMA-VT to capture a broader spectrum of market movements, making it highly effective in diverse trading environments. Whether in stable or volatile markets, its adaptability ensures consistent relevance, providing traders with deeper insights into potential market swings.
The proposed oscillator accentuates several key aspects through a distinctive mesh of bars, which are derived from the differences between the price and a set of 20 Moving Averages, each altered by varying factors. The intensity of the mesh's colors serves as an indicator, with brighter hues signifying a greater convergence of Moving Average signals.
Starting Length = 5
Starting Length = 40
🔶 Strategy, How it Works: Detailed Explanation
1. Core Concept:
The FlexiMA-VT operates by comparing the price or an average value (indicator source) against a set of moving averages with varying lengths.
These lengths are dynamically adjusted through a starting factor and multiple increment factors, ensuring a comprehensive analysis over different time scales.
2. Normalization and Standard Deviation Calculation:
Once deviations are calculated, they undergo a normalization process, which can be set to 'None', 'Max-Min', or 'Absolute Sum'.
This step is crucial as it standardizes the deviations, allowing for a consistent scale of comparison.
The standard deviation of these normalized deviations is then calculated, offering insights into the market’s volatility and potential trend strength.
🔹Normalization
3. Median Value and Oscillator Creation:
The median of the normalized deviations forms the core of the FlexiMA-VT oscillator.
This median value provides a balanced central point, reflecting the consensus of various MA lengths.
The standard deviation bands plotted around the median enhance the interpretative power of the oscillator, indicating potential overbought or oversold conditions.
4. Multi-Factor Analysis:
The FlexiMA-VT uses multiple increment factors to generate a range of MAs, each factor representing a different scale of trend analysis.
By averaging the results from these different scales, the FlexiMA-VT forms a more comprehensive and reliable oscillator.
🔹Consensus
5. Practical Application:
Traders can use the FlexiMA-VT for various purposes, including identifying trend reversals, gauging market momentum, and determining overbought or oversold conditions.
Its dynamic nature makes it adaptable to different trading strategies, from short-term scalping to long-term position trading.
🔶 Settings
1. Indicator Source (indicatorSource): Determines the base data for calculations, typically a price average (HLC3).
2. Indicator Length (indicatorLength): Sets the base length for Moving Averages, influencing initial calculations.
3. Starting Factor (startingFactor): Initial multiplier for MA length, impacting the starting point of analysis.
4. Increment Factors (incrementFactor_1, incrementFactor_2, incrementFactor_3): Modulate the rate of change in MA lengths, adding variability.
5. Normalization Method (normalizeMethod): Standardizes deviations, with methods like 'Max-Min' and 'Absolute Sum' for comparability.
Stochastic Trend Evaluator (STE)Stochastic Trend Evaluator (STE): Detailed Description
Overview :
The Stochastic Trend Evaluator (STE) is a sophisticated trading tool designed for TradingView that combines stochastic oscillation analysis with Exponential Moving Average (EMA) trends. It is tailored to assist traders in identifying potential buy and sell opportunities in various market conditions, particularly focusing on trend reversals and momentum shifts.
Functionality & Concept :
The STE is built on two core components – the Stochastic Oscillator and the 200-period EMA.
Stochastic Oscillator :
This oscillator is a momentum indicator comparing a particular closing price of a security to a range of its prices over a certain period.
Settings:
- %K Length: 14
- %K Smoothing: 3
- %D Smoothing: 3
The %K line is the main line indicating momentum, while the %D line is a moving average of %K, providing signal triggers.
200 EMA :
The 200-period EMA serves as a dynamic trend indicator.
It helps in distinguishing between bullish and bearish market phases.
A closing price above the 200 EMA suggests a bullish trend, while below it indicates a bearish trend.
Signal Generation :
STE generates signals based on the interaction between the Stochastic Oscillator and the 200 EMA.
Buy Signal :
Occurs when the stochastic %K crosses above 20 (indicative of oversold conditions), and the closing price is above the 200 EMA.
Represented visually by green label-up arrows.
Sell Signal :
Triggered when the stochastic %K crosses below 80 (suggestive of overbought conditions), and the closing price is below the 200 EMA.
Indicated by red label-down arrows.
Background Color Indicator :
The background color of the chart changes to enhance visual interpretation of the market condition.
Green background for a bullish market scenario (when a buy signal is active).
Red background for a bearish market scenario (when a sell signal is active).
Usage Guidelines :
The STE is best used in markets that exhibit clear trends.
Ideal for traders focusing on medium to long-term trade setups.
Can be used in conjunction with other indicators for confirmation and risk management.
Note : The STE, being a proprietary tool, is based on a unique blend of standard technical analysis concepts and custom logic to provide these trading signals. It is designed to give traders a comprehensive view of the market momentum and trend strength without revealing the intricate details of its algorithm.
Triple Moving Averages (Gradient, Alarm & Multi TF)Triple Moving Averages
Features:
- 7 Different MA's (RMA, SMA, EMA, 'WMA', HMA, DEMA, EMA)
- Gradient coloring
- Multi timeframe
- Crossover alarm's and alarm delay function
- Forecasting (By removing the last bar in the MA period)
Moving Average to easely identify the trend and trend strength.
Gradient coloring and personal color preferences can be made.
Alert Delay System
When timing is essentially, this helps you get the alarm just in time.
Use it with the triggers ONLY ONCE PER BAR or ONLY ONCE. Then the alarm comes before the close, but you don't have to worry about it triggering just seconds after bar open :)
Default = 15m Recomended for 1h chart
Alarm's
Get the alarms before it's actually crossing or when it crosses
*This is not a selfmade indicator but simply merging from several indicators and added alert delay function and multi timeframe support
// Credits
- BigBitsIO Script : Scripting Tutorial 6 Triple Many Moving Averages Forecasting
- PineCoders Script : Color Gradient Framework PineCoders
maRSI - Moving Averages for RSI with Outer BandsWhat distinguishes this indicator?
This indicator can help to identify a trend at an early stage or as a confirmation - based on a RSI and its Moving Average. It should invite you to experiment and thereby be adapted to your own way of trading.
The type of moving average could be defined: "SMA", "EMA", "DEMA", "TEMA", "SMMA", "LSMA", "HMA", "WMA"
A suggestion for interpretation of “maRSI”:
A cross over the middle line (Signal Line) can be interpreted as a trend change. Is often used for more aggressive trading styles.
Everything above the middle line (Signal Line) could be interpreted as Uptrend. Vice versa.
Depending on how the outer bands were configured, these could be interpreted as earlier signals of a trend change. Is often used for slightly less aggressive trading styles.
Depending on the selected moving average, more or less conservative signals can be output.
The plot "RSI" shows the RSI based on the settings you have made.
The plot "Signal Line" is colored and shows whether the Signal Line is up- or downtrending.
The plot "Direction: RSI to Signal Line" provides clear information about the direction in which the "Signal Line" intersects the RSI and where the RSI is to the "Signal Line". "1" means RSI above "Signal Line" and "-1" means RSI below "Signal Line"
The plot "Direction: Signal Line” provides clear information about the direction of the Signal Line. "1" means uptrending while "-1" means downtrending.
What do I need to consider?
By definition this indicator can be classified as lagging - since it based on historical prices/values. It may be advisable to add further indicators and an analysis of the market structure in order to confirm the signals issued by the indicator. Please note that when you make adjustments to any strategy, you always carry out particularly detailed tests.
Details concerning the crosses of maRSI with its Signal Line and Outer Bands:
#revision: lv07
Multi-Timeframe EMA Tracker by Ox_kaliThis script is an advanced trend analysis indicator crafted for traders who seek a detailed and customizable view of market trends across multiple timeframes. This tool utilizes exponential moving averages (EMAs) to offer insights into market direction and momentum.
Key Features:
Multi-Timeframe Analysis: MTEMA-Tracker covers a wide range of timeframes, including 1, 2, 3, 5, 10, 15, 30 minutes; 1, 2, 4, 6, 12 hours; 1 day; and 1 week. This allows traders to analyze market trends from various perspectives, from short-term fluctuations to longer-term movements.
EMA-Based Trend Determination: The indicator employs two EMAs (50 and 200 periods) for each timeframe to ascertain the market trend. A higher EMA50 compared to EMA200 indicates an uptrend, while the opposite scenario suggests a downtrend.
User-Defined Trend Colors: Traders can personalize the appearance of the trend lines with custom colors for upward and downward trends, enhancing visual clarity and quick interpretation.
Selectable Timeframe Display: MTEMA-Tracker by Ox_kali offers the flexibility to choose which timeframes to display, enabling traders to focus on the most relevant data for their trading strategy.
Average Trend Calculation: A unique feature of MTEMA-Tracker is its ability to compute the average trend across all selected timeframes, providing a holistic view of the market's general direction.
List of Parameters:
Color of the trend: Customizable color settings for both upward and downward trends.
Settings for the Lengths of the EMAs: Options to set the lengths of the short and long-term EMAs.
Display Options for Each Timeframe's EMA Trend: Ability to activate or deactivate the display of EMAs for each selected timeframe.
Indicators and Financial Name Label settings: To ensure maximum clarity and understanding of the displayed trends, users should not hesitate to use the function to display "indicators and financial name labels" in their settings. This feature will help in identifying the legends for each trend, making it easier to interpret the market direction for the selected timeframes.
Please note that the MTEMA-Tracker is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
TTP Big Whale ExplorerThe Big Whale Explorer is an indicator that looks into the ratio of large wallets deposits vs withdrawals.
Whales tend to sale their holding when they transfer their holdings into exchanges and they tend to hold when they withdraw.
In this overlay indicator you'll be able to see in an oscillator format the moves of large wallets.
The moves above 1.5 turn into red symbolising that they are starting to distribute. This can eventually have an impact in the price by causing anything from a mild pullback to a considerable crash depending on how much is being actually sold into the market.
Moves below 0.5 mean that the large whales are heavily accumulating and withdrawing. During these periods price could still pullback or even crash but eventually the accumulation can take prices to new highs.
Instructions:
1) Load INDEX:BTCUSD or BNC:BLX to get the most historic data as possible
2) use the daily timeframe
3) load the indicator into the chart
[KVA]nRSIThe nRSI stands as a groundbreaking enhancement of the traditional Relative Strength Index (RSI), specifically engineered for traders seeking a more refined and accurate tool in fast-moving markets.
Customizable Price Change Period (n): Unlike the traditional RSI which solely relies on a fixed period for average gains and losses, the nRSI introduces an additional parameter, n, to calculate price changes.
This adaptation focuses on minimizing market noise, sharpening the indicator's sensitivity to genuine trends and patterns.
Enhanced Signal Precision : By reducing the influence of short-term price spikes and fluctuations, the nRSI delivers a more precise signal. This precision is particularly crucial in volatile market conditions, where traditional indicators may be swayed by transient movements.
Ideal Usage
Strategic Trading Decisions : Ideal for traders who need to filter out insignificant price movements to make more strategic, informed trading decisions.
Reliable Divergence Spotting : Enhanced noise reduction aids in identifying more reliable divergences, key for predicting potential market reversals.
Trend Confirmation : The smoothed RSI, assisted by the moving average, becomes an invaluable tool for confirming the validity of market trends, minimizing false signals.
PEMA SUITESPivot based EMA (PEMA) is giving ema based on pivot .
Pivot MA's indicator is a combination of the following:
Pivot SMA
Pivot EMA's
Pullback to EMA Band
Pivot EMA's Cross Over
Pivot Double-EMA's Cross Over
Modified Pivot EMA's Cross Over
All the pivot EMA’s calculations are based on "Profiting With Pivot-Based Moving Averages" book by Frank Ochoa.
How to use it :-
One should have to refer this book for in depth usage of this indicator.
You can use the option's provided in the indicator and the signals have been generated according to the concept in this book.
Don't turn on multiple option's, it becomes clumsy to look.
Description:-
1. Pullback to PEMA Band:-
Perhaps the most trader-friendly PEMA setup is the PEMA Pull-Back, because it forces you to trade in the direction of an established trend.
In this, u get the signal when the price retraces to 13 EMA and closes above the PEMA Band.
It is like Buy the Dips & Sell the Rips. The idea of the PEMA Pull-Back is to buy the market at a discount during an uptrend, and sell the market at a premium during a down trend.
2. PEMA Cross Over :-
The PEMA Crossover fires a signal when the fast EMA crosses the slow EMA.
If the fast EMA crosses above the slow EMA, a long signal is fired; whereas, if the fast EMA crosses below the slow EMA, a short signal is fired.
Depending on your trader personality, you will have to choose the periodicities of the two moving averages to suit your taste.
Some combination of EMA's are provided.
3. Double EMA Cross Over :-
A double exponential moving average (DEMA) is basically the EMA of an EMA, meaning the output is the second derivative of the original exponential moving average.
While an EMA is a faster moving average than the SMA, the DEMA is on another level in terms of speed.
4. Modified PEMA Cross Over :-
This system is an ultra-fast PEMA crossover signal that has built-in trend confirmation.
The Modified PEMA Crossover system fires signals in the direction of the prevailing trend, as measured by a larger moving average.
For Example, Take (1,3),21 combination. In this we use 1- and 3-period pivot EMA’s for crossovers, and use a 21-period pivot EMA for trend confirmation.
1 and 3 period EMA's are not shown in the chart, Only 21 EMA and signals are shown for clear view.
Therefore, this system will only allow bullish crossover signals to fire when price is above the 21-period pivot EMA, and will only allow bearish crossover signals to fire when price is below the 21-period average.
In essence, the results are usually highly qualified “buy the dip, and sell rip” type of opportunities.
This also helps you to avoid getting chopped up during price confluence.
Traders have to look for reversal when price is near the pivot based EMA Zone.
Panoramic EMA - Multi TimeframePanoramic EMA - Multi Timeframe
This indicator provides a straightforward visualization of Exponential Moving Averages (EMAs) from multiple timeframes simultaneously. This indicator allows traders to customize the display of EMAs, making it easier to identify and analyze trends and potential support or resistance levels across different periods.
Settings:
EMA Lengths: Customize up to five EMA lengths. Activating a length will display its EMA line on the chart for the selected timeframes.
Timeframes Selection: Choose up to four different timeframes to display the EMAs. This lets you observe how EMAs behave on various scales from a single chart.
Interpretation:
Utilize the EMAs as potential zones of dynamic support or resistance.
Observe the relationship between price action and EMAs across different timeframes to gauge market sentiment and identify trend consistency or potential shifts.
This tool is designed to offer visual clues about the market state through the behavior of EMAs. It does not generate direct buy or sell signals. It is recommended to understand how the assets you are trading interact with EMAs. For instance, in our example below, Bitcoin demonstrates a tendency to interact with the 800 and 200-length EMAs on the 4-hour timeframe, providing areas where price rejections may occur:
Note: This is a utility-focused indicator meant to supplement your market analysis and should be used in conjunction with other analysis methods or indicators for the best results.
Multi EMA/SMADescription:
This indicator combines both an Exponential Moving Average (EMA) and a Simple Moving Average (MA). The user can customize the lengths of both the EMA and the MA, as well as their respective colors and line widths.
Features:
Custom Lengths for EMA and MA: The user can specify the desired length for both the EMA and the MA.
Visibility Control: There are options to only display the MA and EMA during the times the price crosses them. This helps in highlighting significant crossover points. Additionally, the user can define how many bars before and after the crossover they wish to visualize the MA and EMA.
Customizable Appearance: The color and line width for both the MA and the EMA can be adjusted as per user preferences.
Dynamic Labels: The indicator provides labels that display the current values of the MA and the EMA. Additionally, these labels dynamically update to reflect any changes to the EMA or MA length input by the user.
