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:
Rata-Rata Pergerakan / Moving Averages
Mean Reversion with Incremental Entry by HedgerLabsThe "Mean Reversion with Incremental Entry" strategy, designed by HedgerLabs, is an advanced TradingView strategy script focusing on the mean reversion technique in financial markets. This strategy is engineered for traders who prefer a systematic approach with an emphasis on incremental entries based on price movements relative to a moving average.
Key Features:
Moving Average Based Strategy: Central to this strategy is the simple moving average (SMA), around which all trade entries and exits revolve. Traders can customize the MA length, making it flexible for various trading styles and timeframes.
Incremental Entry Mechanism: Unique to this strategy is the incremental entry system. The strategy initiates an initial trade when the price deviates from the MA by a specified percentage. Subsequent entries are made at incremental steps, defined by the trader, as the price moves further away from the MA. This method can potentially capitalize on increasing market volatility.
Dynamic Position Management: The strategy intelligently manages positions by entering long when the price is below the MA and short when above, allowing for adaptive positioning in different market conditions.
Automated Exit Logic: Exit points are determined when the price touches the MA, aiming to close positions at potential reversal points for optimized trade outcomes.
Continuous Market Analysis: With 'calc_on_every_tick' enabled, the strategy constantly evaluates market conditions, ensuring prompt reaction to price movements.
Usage Scenario:
This strategy is particularly beneficial in markets exhibiting mean-reverting behavior. It is suitable for traders focusing on swing trading or those who prefer to scale into positions during periods of high volatility.
Disclaimer:
Please remember that this strategy is for informational and educational purposes only and is not intended as financial or investment advice. Trading in financial markets carries risks, including the potential loss of capital. We advise doing your own research and consulting with a financial expert before making any investment decisions.
Mean Reversion with Incremental Entry Alerts by HedgerLabsThe "Mean Reversion with Incremental Entry Alerts" is a sophisticated TradingView indicator designed by HedgerLabs. It's built on the concept of mean reversion, a fundamental trading strategy in financial markets. This indicator is tailored for traders seeking systematic and disciplined entry points in volatile markets.
Key Features:
Moving Average (MA) Based: At its core, the indicator utilizes a simple moving average (SMA) as the baseline for mean reversion. You can customize the length of the MA according to your trading style.
Initial Entry Conditions: The script generates initial buy and sell alerts based on a defined percentage deviation from the moving average. This approach allows traders to enter trades at points where the price significantly deviates from its mean, potentially signaling a reversion opportunity.
Buy and Sell Signals: Clear visual cues are provided for buy and sell positions, making it easy to interpret and act upon the signals.
Close Conditions: In addition to entry signals, the indicator also plots closing signals (green and red crosses) when the price touches the moving average. This feature assists in timely exits from positions, aiming to optimize trade outcomes.
Alert System: Integrated alert conditions notify you when a new buy or sell order condition is met, as well as when to close existing positions. This ensures you never miss an opportunity or an exit point.
Usage Scenario:
This indicator is particularly useful in markets where prices tend to revert to a mean value over time. It's ideal for day traders who focus on asset price volatility.
Disclaimer:
Please note that this tool is for informational and educational purposes only and should not be considered as financial or investment advice. Trading involves substantial risk, including the potential loss of principal. We recommend conducting your research and consulting with a financial expert before making any investment decisions.
Optimized Alligator RateA less conventional way of utilizing the "Williams Alligator," the Optimized Rate uses the rate of change of the averages within the Alligator in order to potentially forecast with greater accuracy. The true optimization comes from the calculation of the "McGinley Dynamic" to create zero lag smoothed moving averages. It's important to note the standard Alligator has always used the SMMA. Lastly, divergence between the rates has been calculated in plotting for clarification.
Mean Reversion Watchlist [Z score]Hi Traders !
What is the Z score:
The Z score measures a values variability factor from the mean, this value is denoted by z and is interpreted as the number of standard deviations from the mean.
The Z score is often applied to the normal distribution to “standardize” the values; this makes comparison of normally distributed random variables with different units possible.
This popular reversal based indicator makes an assumption that the sample distribution (in this case the sample of price values) is normal, this allows for the interpretation that values with an extremely high or low percentile or “Z” value will likely be reversal zones.
This is because in the population data (the true distribution) which is known, anomaly values are very rare, therefore if price were to take a z score factor of 3 this would mean that price lies 3 standard deviations from the mean in the positive direction and is in the ≈99% percentile of all values. We would take this as a sign of a negative reversal as it is very unlikely to observe a consecutive equal to or more extreme than this percentile or Z value.
The z score normalization equation is given by
In Pine Script the Z score can be computed very easily using the below code.
// Z score custom function
Zscore(source, lookback) =>
sma = ta.sma(source, lookback)
stdev = ta.stdev(source, lookback, true)
zscore = (source - sma) / stdev
zscore
The Indicator:
This indicator plots the Z score for up to 20 different assets ( Note the maximum is 40 however the utility of 40 plots in one indicator is not much, there is a diminishing marginal return of the number of plots ).
Z score threshold levels can also be specified, the interpretation is the same as stated above.
The timeframe can also be fixed, by toggling the “Time frame lock” user input under the “TIME FRAME LOCK” user input group ( Note this indicator does not repain t).
Blockunity Excess Index (BEI)Identify excess zones resulting in market reversals by visualizing price deviations from an average.
The Excess Index (BEI) is designed to identify excess zones resulting in reversals, based on price deviations from a moving average. This moving average is fully customizable (type, period to be taken into account, etc.). This indicator also multiplies the moving average with a configurable coefficient, to give dynamic support and resistance levels. Finally, the BEI also provides reversal signals to alert you to any risk of trend change, on any asset.
The Idea
The goal is to provide the community with a visual and customizable tool for analyzing large price deviations from an average.
How to Use
Very simple to use, this indicator plots colored zones according to the price's deviation from the moving average. Moving average extensions also provide dynamic support and resistance. Finally, signals alert you to potential reversal points.
Elements
The Moving Average
The Moving Average, which defaults to a gray line over 200 periods, serves as a stable reference point. It is accompanied by an Index, whose color varies from yellow to orange to red, offering an overview of market conditions.
Extensions
These dynamic lines can be used to determine effective supports and resistances.
Signals
Green and red triangles serve as clear indicators for buy and sell signals.
Settings
Mainly, the type of moving average is configurable. The default is an SMA.
A Simple Moving Average (SMA) calculates the average of a selected range of prices by the number of periods in that range.
But you can also, for example, switch the mode to EMA.
The Exponential Moving Average (EMA) is a moving average that places a greater weight and significance on the most recent data points:
You also have WMA.
A Weighted Moving Average (WMA) gives more weight on recent data and less on past data:
And finally, the possibility of having a PCMA.
PCMA takes into account the highest and lowest points in the lookback period and divides this by two to obtain an average:
You can change other parameters such as lookback periods, as well as the coefficient used to define extension lines.
You can refer to the tooltips directly in the indicator parameters.
For those who prefer a minimalist display, you can activate a "Bar Color" in the settings (You must also uncheck "Borders" and "Wick" in your Chart Settings), and deactivate all other elements as you wish:
Finally, you can customize all the different colors, as well as the parameters of the table that indicates the Index value and the asset trend.
How it Works
The Index is calculated using the following method:
abs_distance = math.abs(close - base_ma)
bei = (abs_distance - ta.lowest(abs_distance, lookback_norm)) / (ta.highest(abs_distance, lookback_norm) - ta.lowest(abs_distance, lookback_norm)) * 100
Signals are triggered according to the following conditions:
A Long (buy) signal is triggered when the Index falls below 100, when the closing price is lower than 5 periods ago, and when the price is under the moving average.
A Short (sell) signal is triggered when the Index falls below 100, when the closing price is greater than 5 periods ago, and when the price is above the moving average.
SMA Direction Cross Currency SummaryThis script shows the average SMA direction of each of the majors and crosses when compared to each other. The more blocks to the right the stronger the currency on that timeframe. The more blocks to the left the weaker the currency.
I'm finding it useful to quickly know the average flow of movement for each currency on the higher timeframes and then focus on that for a daily trade. I also like how i dont have to keep jumping between instruments to stay upto date. I'm not a 'real' trader so I have very limited time and attention for this so this does the job as a crude replacement for trawling all the chart each day.
The currencies compared are:
-NZD
-AUD
-JPY
-CHF
-EUR
-GBP
-CAD
-USD
The way it is calculated is that its based on the 20 SMA. For each currency vs the other crosses:
if the SMA is pointing up and price is higher = +2
if the SMA is pointing up and price is lower = +1
if the SMA is pointing down and price is higher = -2
if the SMA is pointing down and price is lower = -1
So if we where considering GBP. We would do that for GBPNZD, GBPAUD, GBPPJY, GBPCHF, GBPEUR, GBPCAD, GBPUSD. We would then consider this sum against all the currencies to understand the relative strength.
Due to the limit on how many instruments can be called in a single indicated you need to load it for each currencies so 8 currencies = 8 indicators.
Its a bit of a frankinstien script - it just throw it togeather so its probably got redundant code etc. Its built around 20 SMA - no idea what would happens when you change that.
Trailing Stop-Loss Indicator (FinnoVent)The Dynamic 9 EMA Trailing Stop-Loss Indicator is a specialized tool designed for the TradingView community to enhance risk management in trading. This script dynamically adjusts a trailing stop-loss level based on the position of the price relative to a 9-period Exponential Moving Average (EMA), offering traders a systematic approach to protect potential profits and limit downside risk.
Functionality:
Adaptive Trailing Stop: The indicator calculates a trailing stop-loss that adjusts with the 9 EMA, providing a responsive method to secure gains or prevent extensive losses.
EMA Trend Indicator: The 9-period EMA serves as a momentum indicator, with the script adjusting the trailing stop-loss accordingly — above the EMA for short positions and below for long positions.
Entry Signal Visualization: Entry signals are visualized on the chart, indicating potential long and short positions based on price crossovers with the EMA.
Application:
This indicator is ideal for traders who utilize technical analysis to make informed decisions. By automatically adjusting the stop-loss level to the evolving market conditions, it is particularly useful for:
Day traders looking to capitalize on short-term price movements.
Swing traders aiming to secure positions during more extended market waves.
Any trading strategy that benefits from dynamic stop-loss management.
Usage:
To use the indicator, simply add it to your TradingView chart, and it will automatically plot the trailing stop levels. The green and red lines represent the trailing stops for long and short positions, respectively, providing clear visual cues for potential exit points.
Compliance with TradingView House Rules:
This script is provided for educational purposes and does not constitute investment advice. It is a unique creation that has been developed to contribute to the TradingView community by offering a tool that helps traders manage their trades more effectively.
Christmas Toolkit [LuxAlgo]It's that time of the year... and what would be more appropriate than displaying Christmas-themed elements on your chart?
The Christmas Toolkit displays a tree containing elements affected by various technical indicators. If you're lucky, you just might also find a precious reindeer trotting toward the tree, how fancy!
🔶 USAGE
Each of the 7 X-mas balls is associated with a specific condition.
Each ball has a color indicating:
lime: very bullish
green: bullish
blue: holding the same position or sideline
red: bearish
darkRed: very bearish
From top to bottom:
🔹 RSI (length 14)
rsi < 20 - lime (+2 points)
rsi < 30 - green (+1 point)
rsi > 80 - darkRed (-2 points)
rsi > 70 - red (-1 point)
else - blue
🔹 Stoch (length 14)
stoch < 20 - lime (+2 points)
stoch < 30 - green (+1 point)
stoch > 80 - darkRed (-2 points)
stoch > 70 - red (-1 point)
else - blue
🔹 close vs. ema (length 20)
close > ema 20 - green (+1 point)
else - red (-1 point)
🔹 ema (length 20)
ema 20 rises - green (+1 point)
else - red (-1 point)
🔹 ema (length 50)
ema 50 rises - green (+1 point)
else - red (-1 point)
🔹 ema (length 100)
ema 100 rises - green (+1 point)
else - red (-1 point)
🔹 ema (length 200)
ema 200 rises - green (+1 point)
else - red (-1 point)
The above information can also be found on the right side of the tree.
You'll see the conditions associated with the specific X-mas ball and the meaning of color changes. This can also be visualized by hovering over the labels.
All values are added together, this result is used to color the star at the top of the tree, with a specific color indicating:
lime: very bullish (> 6 points)
green: bullish (6 points)
blue: holding the same position or sideline
red: bearish (-6 points)
darkRed: very bearish (< -6 points)
Switches to green/lime or red/dark red can be seen by the fallen stars at the bottom.
The Last Switch indicates the latest green/lime or red/dark red color (not blue)
🔶 ANIMATION
Randomly moving snowflakes are added to give it a wintry character.
There are also randomly moving stars in the tree.
Garland rotations, style, and color can be adjusted, together with the width and offset of the tree, put your tree anywhere on your chart!
Disabling the "static tree" setting will make the needles 'move'.
Have you happened to see the precious reindeer on the right? This proud reindeer moves towards the most recent candle. Who knows what this reindeer might be bringing to the tree?
🔶 SETTINGS
Width: Width of tree.
Offset: Offset of the tree.
Garland rotations: Amount of rotations, a high number gives other styles.
Color/Style: sets the color & style of garland stars.
Needles: sets the needle color.
Static Tree: Allows the tree needles to 'move' with each tick.
Reindeer Speed: Controls how fast the deer moves toward the most recent bar.
🔶 MESSAGE FROM THE LUXALGO TEAM
It has been an honor to contribute to the TradingView community and we are always so happy to see your supportive messages on our scripts.
We have posted a total of 78 script publications this year, which is no small feat & was only possible thanks to our team of Wizard developers @alexgrover + @dgtrd + @fikira , the development team behind Pine Script, and of course to the support of our legendary community.
Happy Holidays to you all, and we'll see ya next year! ☃️
RSI/MFI Ultimate MAHello!
Today, I want to discuss a special indicator that I've developed. centers around a weighted moving average based on RSI/MFI.
1. Development Purpose
The primary goal of this indicator is to provide clearer insights into bullish and bearish signals in the market. It applies a weight to the RSI (Relative Strength Index) and MFI (Money Flow Index) values to offer more sensitive and predictive trend signals than traditional moving averages.
2. Usefulness
This indicator aids traders in identifying market volatility and bullish or bearish trends more easily. It is particularly responsive to market volatility, providing more accurate information for trading decisions.
3. Real-World Usage Examples
When applied to actual market data, this indicator clearly delineates bullish or bearish sections with its weighted moving average line. For instance, an upward trending moving average line indicates a bullish signal, while a downward trend suggests bearish momentum.
4. Meaning of Parameter Values
option: Allows choosing between RSI or MFI, each analyzing different market signals.
osc_len: Adjusting the oscillator length alters sensitivity.
ma_len: Setting the moving average length helps to modulate responsiveness to market fluctuations.
weight: Changing the weight fine-tunes the sensitivity of the moving average line.
By adjusting these parameters, the indicator can be customized to suit various market conditions.
Wishing you a successful trading day. Thank you!
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.
MA+ ProjectionThe "MA+ Projection" indicator is designed to visualize the potential future direction of a moving average, taking into account the impact of historical data loss. It is primarily aimed at providing a practical perspective on how moving averages could evolve as older data points are no longer considered.
Key Features:
Supported Moving Averages: SMA, EMA, WMA, VWMA, and VAWMA (Volume Adjusted WMA).
Flexible Time Span Settings: Customize the moving average length in bars, minutes, or days.
Adjustable Projection Scope: Set a percentage of the measurement to project forward.
Projection 'Cone': Show/hide the deviation and control the multiple.
Use Last Source Value: An option to add the latest known value to the moving window instead of only letting the window shrink. (Enabled by default.)
How It Works:
Given the specified parameters, it takes the selected moving average type (a known formula like SMA, EMA, or WMA), and projects the future data points by continuing to move the data 'window' forward without adding any more data. By default, it extends the average by assuming the price hasn't changed after the last bar. Alternatively, the projection can be the result of shrinking the window as it moves forward without adding any new data points.
Note:
This tool is for visual projection, not prediction. Its purpose is to aid in the analysis of potential future trends based on historical data, not to provide definitive market forecasts.
FlexiMA Variance Tracker - Strategy [presentTrading]█ Introduction and How It Is Different
The FlexiMA Variance Tracker by PresentTrading introduces a novel approach to technical trading strategies. Unlike traditional methods, it calculates deviations between a chosen indicator source (such as price or average) and a moving average with a variable length. This flexibility is achieved through a unique combination of a starting factor and an increment factor, allowing the moving average to adapt dynamically within a specified range. This strategy provides a more responsive and nuanced view of market trends, setting it apart from standard trading methodologies.
BTC 8h L/S
Local
█ Strategy, How It Works: Detailed Explanation
The FlexiMA Variance Tracker, developed by PresentTrading, stands at the forefront of trading strategies, distinguished by its adaptive and multifaceted approach to market analysis. This strategy intricately weaves various technical elements to construct a comprehensive trading logic. Here's an in-depth professional breakdown:
🔶Foundation on Variable-Length Moving Averages:
Central to this strategy is the concept of variable-length Moving Averages (MAs). Unlike traditional MAs with a fixed period, this strategy dynamically adjusts the length of the MA based on a starting factor and an incremental factor. This approach allows the strategy to adapt to market volatility and trend strength more effectively.
Each MA iteration offers a distinct temporal perspective, capturing short-term price movements to long-term trends. This aggregation of various time frames provides a richer and more nuanced market analysis, essential for making informed trading decisions.
🔶Deviation Analysis and Normalization:
The strategy calculates deviations of the price (or the chosen indicator source) from each of these MAs. These deviations are pivotal in identifying the immediate market direction relative to the average trend captured by each MA.
To standardize these deviations for comparability, they undergo a normalization process. The choice of normalization method (Max-Min or Absolute Sum) can significantly influence the interpretation of market conditions, offering distinct insights into price movements and trend strength.
🔹Normalization: Absolute Sum
🔶Composite Oscillator Construction:
A composite oscillator is derived from the median of these normalized deviations. The median serves as a balanced and robust central trend indicator, minimizing the impact of outliers and market noise.
Additionally, the standard deviation of these deviations is computed, providing a measure of market volatility. This volatility indicator is crucial for assessing market risk and can guide traders in setting appropriate stop-loss and take-profit levels.
🔶Integration with SuperTrend Indicator:
The FlexiMA strategy integrates the SuperTrend indicator, renowned for its effectiveness in identifying trend direction and reversals. The SuperTrend's incorporation enhances the strategy's ability to filter out false signals and confirm genuine market trends.
* The SuperTrend Toolkit is made by @QuantiLuxe
This combination of the variable-length MA oscillator with the SuperTrend indicator forms a potent duo, offering traders a dual-confirmation mechanism for trade signals.
🔹Supertrend's incorporation
🔶Strategic Trade Signal Generation:
Trade signals are generated when there is a confluence between the composite oscillator and the SuperTrend indicator. For example, a long position signal might be considered when the oscillator suggests an uptrend, and the SuperTrend flips to bullish.
The strategy's parameters are fully customizable, enabling traders to tailor the signal generation process to their specific trading style, risk tolerance, and market conditions.
█ Usage
To effectively employ the FlexiMA Variance Tracker strategy:
Traders should set their desired trade direction and fine-tune the starting and increment factors according to their market analysis and risk tolerance.
Indicator Length: 5
Indicator Length: 40
The strategy is suitable for a wide range of markets and can be adapted to different time frames, making it a versatile tool for various trading scenarios.
█ Default Settings Impact on Performance: FlexiMA Variance Tracker
1. Trade Direction (Configurable: Long, Short, Both): Determines trade types. 'Long' for buying, 'Short' for selling, 'Both' adapts to market trends.
2. Indicator Source: HLC3: Balances market sentiment by considering high, low, and close, providing comprehensive period analysis.
4. Indicator Length (Default: 10): Baseline for moving averages. Shorter lengths increase responsiveness but add noise, while longer lengths favor trends.
5. Starting and Increment Factor (Default: 1.0): Adjusts MA lengths range. Higher values capture broad market dynamics, lower values focus analysis.
6. Normalization Method (Options: None, Max-Min, Absolute Sum): Standardizes deviations. 'None' for raw deviations, 'Max-Min' for relative scaling, 'Absolute Sum' emphasizes relative strength.
7. SuperTrend Settings (ATR Length: 10, Multiplier: 15.0): Influences indicator sensitivity. Short ATR or high multiplier for short-term, long ATR or low multiplier for long-term trends.
8. Additional Settings (Mesh Style, Color Customization): Enhances visual clarity. Mesh style for detailed deviation view, colors for quick market condition identification.
Simple Moving Average CrossoverThis Pine Script is a TradingView script for creating a technical analysis indicator known as a Simple Moving Average Crossover (SMAC). The script visualizes two moving averages on a chart and provides buy and sell signals based on the crossover of these moving averages.
Here's a breakdown of the script:
Input Parameters:
fastLength: The length of the fast/simple moving average.
slowLength: The length of the slow/simple moving average.
Moving Averages Calculation:
fastMA: Calculates the simple moving average with a length of fastLength using the closing prices.
slowMA: Calculates the simple moving average with a length of slowLength using the closing prices.
Plotting:
Plots the fast and slow moving averages on the chart using different colors.
Buy and Sell Signals:
buySignal: Generates a boolean series indicating a buy signal when the fast moving average crosses above the slow moving average.
sellSignal: Generates a boolean series indicating a sell signal when the fast moving average crosses below the slow moving average.
Plotting Signals:
Plots green triangle-up shapes below price bars for buy signals.
Plots red triangle-down shapes above price bars for sell signals.
In summary, this script helps traders visualize potential trend reversals by identifying points where a shorter-term moving average crosses above (buy signal) or below (sell signal) a longer-term moving average. These crossover signals are often used in trend-following strategies to capture potential changes in market direction. Traders can customize the script by adjusting the input parameters to suit their trading preferences.
Trend Strength GaugeTrend Strength Gauge with Modified Hull Moving Average (HMA)
Overview:
The indicator combines a modified Hull Moving Average (HMA) with a visual gauge that represents the strength and direction of the current trend. This helps traders quickly assess the trend's vigor and direction.
Key Features:
Modified Hull Moving Average (HMA):
Purpose: The HMA is a smoothed moving average designed to reduce lag and provide more responsive trend signals.
The indicator displays two HMA line and SMA line on the chart and fill color between them
based on HMA is above SMA or not.
Trend Strength Gauge:
Visualization: Below the chart, there's a gauge represented by gradient line gauge with "V" symbol.
The gauge line change color based on the direction of the trend.
Additionally, symbol "V" moves from solid color to transparent, indicating the trend's strength gradient.
Up Trend:
Dn Trend:
Trend Assessment:
When "V" at the strong teal collor it represents a strong positive trend (uptrend).
When "V" at the strong white collor it Indicates a strong negative trend (downtrend).
Arrow Movement: The symbol 'V' transitions from a solid color (teal or white) to a more transparent shade based on the strength of the trend.
Usage:
Trend Confirmation: Traders can use this indicator to confirm trends and assess their strength before making trading decisions.
Entry/Exit Points: The changing colors and transparency levels of the 'V' symbols can assist in identifying potential entry or exit points.
Can be used as a simple Hull indicator
This combined indicator simplifies trend analysis by offering an easily understandable visual representation of trend strength and direction.
Remember, while indicators are valuable tools, successful trading requires a comprehensive approach that incorporates multiple sources of information and risk management strategies.
Always exercise caution, apply critical thinking, and consider the broader market context when using indicators to make informed trading decisions.
Custom RSI with RMA SmoothingCustom RSI with RMA Smoothing is smoothing the classic Relative Strength Index to enhance the effectiveness of using the RSI for trend-following through noise reduction.
Principle:
1. RSI is smoothed by the Rolling Moving Average (RMA) and averaged Gains & Losses instead of the classic RSI calculation.
2. A RMA is plotted over the RSI where the crossovers can be entry and exit points.
How is RSI smoothed by the RMA:
1. Outside the common price sources a few new options like hhhlc or hlcc can be chosen where the emphasis is more on the high or the close of the chosen period.
2. Calculation of Price Change: After selecting the price source, the indicator calculates the price change by subtracting the previous period's price from the current price.
3. RMA Smoothing of Price Change: The key step in smoothing the RSI is the application of the Running Moving Average (RMA) to the price change. The length of this RMA is set by the user and determines the extent of smoothing. RMA is a type of moving average that gives more weight to recent data points, making it more responsive to new information while still smoothing out short-term fluctuations.
4. Determining Gains and Losses: The smoothed price change is then used to calculate the gains and losses for each period. Gains are considered when the smoothed price change is positive, and losses when it is negative.
5. Averaging Gains and Losses: These gains and losses are further smoothed by calculating their respective RMAs over the user-defined RSI length. This step is crucial as it dampens the impact of short-term price spikes and drops, giving a more stable and reliable measure of price momentum.
6. RSI Calculation: The standard RSI formula (100 - ) is then applied to these smoothed values. This results in the initial RSI value, which is already more stable than a typical RSI due to the previous smoothing steps.
7. Final RMA Smoothing of RSI: In a final layer of refinement, the RSI itself is smoothed using another RMA, over a length specified by the user. This additional smoothing further reduces the impact of short-term volatility and sharp price movements, providing a more coherent and interpretable RSI line.
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.
DUCANH - KELTNER CHANNELS + EMA STRATEGY This is a strategy/combination of warning indicators using 3EMA and Keltner Channels.
I set up this strategy with the aim of reducing analytical labor in the market. When this strategy warns signals, then buy or sell.
This strategy setup works for timeframes, however it can still work for different timeframes.
It works well with Gold in various timeframes. If you want to apply it to other currency pairs, you must fine-tune the parameters for maximum efficiency.
The strategy details are as follows:
Ingredient:
EMA50 + EMA120 + SMA
Keltner Channels
Long position Alert:
EMA50 is above EMA120
The candlestick touches the lower KC band
Long position alert will trigger when the candlestick reaches the above conditions and the candlestick starts crossing up to the SMA
Short position Alert:
EMA50 is below EMA120
The candlestick touches the upper KC band
A short position alert will trigger when the candlestick reaches the above conditions and starts crossing down to SMA
Recommended RR: 1:3
If you have any questions please let me know !
TASC 2024.01 Gap Momentum System█ OVERVIEW
TASC's January 2024 edition of Traders' Tips features an article titled “Gap Momentum” by Perry J. Kaufman. The article discusses how a trader might create a momentum strategy based on opening gap data. This script implements the Gap Momentum system presented therein.
█ CONCEPTS
In the article, Perry J. Kaufman introduces Gap Momentum as a cumulative series constructed in the same way as On-Balance Volume (OBV) , but using gap openings (today’s open minus yesterday’s close).
To smoothen the resulting time series (i.e., obtain the " signal line "), the author applies a simple moving average . Subsequently, he proposes the following two trading rules for a long-only trading system:
• Enter a long position when the signal line is moving higher.
• Exit when the signal line is moving lower.
█ CALCULATIONS
The calculation of Gap Momentum involves the following steps:
1. Calculate the ratio of the sum of positive gaps over the past N days to the sum of negative gaps (absolute values) over the same time period.
2. Add the resulting gap ratio to the cumulative time series. This time series is the Gap Momentum.
3. Keep moving forward, as in an N-day moving average.
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.
Technical Candle Alerts [SS]Releasing this fun little project indicator.
What is it?
The Technical Candle Alert indicator provides alerts based on multiple underlying technicals, including MFI, RSI, Stochastics, Z-Score, Pivot points and the EMA 50 and EMA 200 Death and Golden Cross.
What does it do?
The indicator looks back over a designated timeframe to look for max and min values of technicals, as well as track the EMA200 and EMA50.
When a candle approaches a previous max zone, pivot point or there is a death or golden cross, the indicator will signal on the candle that has triggered this event. Then you, as the trader, can determine whether you want to listen to the signal or ignore it.
How Does it Work?
The indicator is set to default and generally accepted settings for technicals, however you can modify them as you prefer.
The indicator is also programmed to identify the strongest trend period and set that as the lookback length. The theory is, you want to look at max and min technicals as well as pivot points in a recent area of a strong trend. However, if you want to over-ride the auto trend identification, you can simply unselect "Autotrend" and put in your desired manual lookback length.
The indicator will then keep track of max values for the various technicals and present you with alerts directly over the candle when a Max or Min value is triggered, or a pivot point is entered, etc.
Here are some examples:
Golden Cross:
Death Cross:
Previous Pivot Points:
Various Alerts:
Customization:
You can customize which alerts you want to turn off and on.
As well, there is a signal delay setting (wait setting). This prevents repeated, unnecessary signaling of the same signal. The default wait time is 5 signals, however you can adjust based on your desired tolerance. If you want it to always signal, adjust it to 0.
As indicated before, you can also adjust all of the technicals and the pivot bars for high and low pivots and you can manually set your lookback length.
That is the indicator in a nutshell, let me know if you have any questions that may not have been covered in the description. Its pretty straight forward once you play around with it.
Safe trades everyone and thanks for checking this out!
Zigzag Tails [Trendoscope®] 🎲 Introducing Zigzag Tails Indicator by Trendoscope.
The Zigzag Tails Indicator, a groundbreaking tool from Trendoscope, redefines technical analysis by seamlessly integrating anchored VWAPs (Volume Weighted Average Prices) and Average Price calculations with Zigzag pivot points. This advanced indicator recalculates Average Price or VWAP from one Zigzag pivot to the next, offering unparalleled insights into market movements.
🎯 Innovative Design
Each Zigzag pivot can feature up to three distinct tails, corresponding to the high, low, and close prices of each candle. Users have the flexibility to select between Average Price and VWAP for display on their charts. By default, the indicator plots all three tails, but individual tail visibility is customizable via the settings panel.
Average Price Mode: When selected, tails depict the average price across a specified number of bars.
VWAP Mode: In this mode, tails represent the VWAP, calculated for a given price over a set number of bars.
🎯 Dynamic Dotted Tail
The Zigzag Tails Indicator features dotted tails that extend from the last Zigzag pivot to the current bar. These dotted tails dynamically adapt to market changes and are subject to repainting with the emergence of new Zigzag pivots.
When repainting is enabled, the dotted tails originate from the last unconfirmed Zigzag pivot, extending to the current bar. This setting offers a more immediate, albeit tentative, visual representation of market trends.
With repainting disabled, the dotted tails will be anchored from the last confirmed Zigzag pivot to the current bar, providing a more stable but slightly delayed market analysis.
Irrespective of the repaint option, the dotted dynamic tails is always expected to repaint.
🎯 Practical Applications
The Zigzag Tails Indicator provides more accurate support and resistance levels than traditional VWAP, rolling VWAP, or moving averages. Its precision makes it an invaluable tool for identifying trends, as well as potential trend continuations or reversals.
🛠 Indicator Settings
Zigzag Configuration:
Zigzag Length determines the loopback length for the foundational Zigzag calculation.
Number of Bars represent the calculation distance. This limitation is added to avoid runtime errors on lower timeframes. The calculations run through lots of loops. Hence, if it is run across too many bars, we may get timeout issues.
Repaint: Activating this will also display the last, unconfirmed Zigzag pivot. Since the last pivot is inherently tentative, it may repaint with the arrival of new bars. A pivot is confirmed only when a subsequent unconfirmed pivot emerges on the chart.
Tail Configuration
Tail Type: Choose between average and VWAP for the tail calculation. The average option plots a simple average, while the VWAP option calculates an anchored VWAP from pivot to pivot.
Display Options: Tailored display options for High, Low, Close prices, with customizable colors for each tail type.
Inspired by the ideas of @KioseffTrading's implementation of Zigzag Anchored VWAP
Analytics Trading DashboardThe Analytics Trading Dashboard is a tool designed to bring key information about a company into an easy-to-view dashboard. The indicator combines Company Info, Fundamental Data, Price & Volume Data, and Analyst Recommendations all into one table.
Let’s dive into the details by section:
Company Info:
Name – Company name.
Market Cap – Total dollar market value of the company’s outstanding shares of stock.
Float Shares / Shares Outstanding – Floating shares indicate the number of shares available for trading. Outstanding shares are any shares held by shareholders and company insiders.
Sector – The stock's sector.
Industry Group - The industry group the stock belongs to.
IPO Date – Date on which a security is first publicly traded.
Dividend – The latest dividend amount if the company pays one.
Fundamental Data:
EPS Due – The date the company is set to report earnings next.
EPS Est Next Qtr – The earnings per share estimate for the upcoming report.
EPS Est % Chg (Current Qtr) – The earnings growth as a percentage based on the reported earnings of the same quarter from the previous year.
EPS % Chg (Last Qtr) – The earnings growth of the last reported quarter as a percentage versus the same quarter from the previous year.
Last Qtr EPS Surprise – The amount reported earnings beat or missed estimates from the last reported quarter.
Last 3 Qtrs Avg. EPS Growth – The average percentage growth of the last 3 earnings reports.
# Qtrs of EPS Acceleration – The number of consecutive quarters that EPS has increased.
Last 3 Qtrs Avg. Rev Growth – The average percentage growth of the last 3 revenue numbers reported.
# Qtrs of Rev Acceleration – The number of consecutive quarters that revenue has increased.
Gross Margin – Measures gross profit compared to revenue as a percentage.
Debt/Equity Ratio – The ratio of debt to equity, or financial leverage.
Price and Volume Data:
52 Week High – The highest high of the last 52 weeks.
% Off 52 Week High – The percentage the current price has decreased from the 52-week high.
Price vs. Moving Average – The distance as a percentage that the current price is from the selected moving average.
Average Volume – The average number of shares traded based on the selected lookback period.
Average $ Volume – The average of the total value of shares traded based on the selected lookback period.
Pocket Pivots – The number of pocket pivots that have occurred in the selected lookback period.
Up/Down Volume Ratio - A 50-day ratio derived by dividing total volume on up days by the total volume on down days.
ATR – The average true range shown as a dollar value and percentage of current price.
ADR – The average daily range shown as a dollar value and percentage of current price.
Beta - Beta is a measure of its volatility relative to the overall market, indicating how much the stock's price is expected to fluctuate compared to the market average.
Analyst Ratings:
Strong Buy – The number of strong buy recommendations.
Buy – The number of buy recommendations.
Hold – The number of hold recommendations.
Sell – The number of sell recommendations.
Strong Sell – The number of strong sell recommendations.
The Analytics Trading Dashboard also comes with the flexibility to select your preferred moving average for price and volume analysis, as well as to choose the specific lookback period for calculating the Average True Range (ATR), Average Daily Range (ADR), and Pocket Pivots lookback period.
