Price Action - Delivery Algorithm (Zeiierman)█ Overview
Price delivery algorithms in trading refer to complex computational algorithms used to determine the optimal price for executing trades. These algorithms are particularly relevant in electronic and algorithmic trading environments where large volumes of trades are executed automatically.
These algorithms are designed to analyze market data, including prices, volumes, and historical trends, to determine the most favorable price at which to execute a trade. They can take into account various factors such as market liquidity, price impact, and timing to optimize trade execution.
█ How It Works
Optimal price zones can be calculated in many different ways; we have decided to use a cycle method that determines the current dominant trend. The indicator functions by isolating a trend within a specific frequency range from various data.
Filter Logic and Loop:
The indicator computes a weighted average of historical prices over a range of past data points. It employs a loop to iterate over these past data points, applying a unique weight to each, depending on its position relative to the trend period.
Weight Calculation:
Weights are determined using triangle wave functions. The triangle wave function ensures that the weighting oscillates in synchronization with the desired trend period.
Summation:
The indicator aggregates the weighted prices from past periods to generate a single value for each point in time. This value signifies the strength and direction of the trend at the specified frequency. The results are used to determine the specific price zones.
█ How to Use
The price zones help traders identify the best times to enter and exit the market, similar to how support and resistance zones are used. The strategy is based on using price delivery algorithm zones to enter the market in areas commonly used by institutions for placing larger orders. The main advantage of this strategy is having the support of these heavier players.
█ Settings
Delivery Algorithm: This setting allows you to select the calculation method for the Delivery Algorithm. There are several options including "Price", "Swing High", "Swing Low", "Swing Mean", "Momentum", "Expansion", and "Volume". Each option represents a different way of analyzing market data, focusing on different aspects of price action or market dynamics. The choice here will influence how the algorithm interprets and responds to market data.
The corresponding length value is about the responsiveness of the Delivery Algorithm. Adjusting this value affects the algorithm's sensitivity to changes in market conditions. A higher value makes the algorithm more responsive, meaning it will react more strongly to recent market changes. This could be useful in volatile markets. On the other hand, a lower value makes the algorithm less responsive, resulting in more gradual adjustments. This might be preferable in more stable market conditions to avoid reacting to what might be considered 'market noise.'
Delivery Sensitivity: This setting adjusts the sensitivity of the algorithm's calculations to price movements. A higher value tends to smooth out the algorithm's output by considering a wider range of price data, which can be useful for identifying longer-term trends. A lower value makes the algorithm more sensitive to recent price movements, which can be helpful for short-term trading or scalping strategies. The option to enable Scalping Mode is particularly relevant for traders focusing on short-term, quick trades.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Sentiment
Volume PowerVolume Power
Volume Power is a technique that uses the PVT(Price - Volume - Time ) Distribution algorithm .
*** Features
* Pump or Dump Detection .
* Explosive move Detection .
* Better understanding to each candle than normal Price and Volume .
*** Colors Info
* Blue - No effect to the market .
* Green - Pump or Dump Detection .
* Orange - Average Market ( Can affect the market Trend ) .
* Red - Explosive Market ( Can affect the market Trend and Mostly a Potential Reversal ) .
*** Usage
* Red and Orange can be used for Potential Breakout Candles and Reversals .
Green can be used as Pump or Dump Detection that will help you with your stops and high Volatility detection before it happens as leading indicator .
Blockchain Fundamentals - Satoshies Per Dollar by Cryptorhythms🔗Blockchain Fundamentals - Satoshis Per Dollar by Cryptorhythms
Intro
SPD is a new metric I propose which can be used to determine general sentiment and help narrow down periods to DCA .
Description
In the most basic sense this indicator is simply showing you how many satoshies are equal to one US dollar . This can be a useful metric to keep stored in the back of your mind. It can also give you a new satoshi based perspective on bitcoin pricing.
I simply added an MA selection option to give a basic sentiment reading. You could also use the red areas as a modified DCA (i.e. only do dollar cost averaging when red zone is in effect.
The indicator is not really meant for buy/sell signaling but more as a reference
👍 We hope you enjoyed this indicator and find it useful! We post free crypto analysis, strategies and indicators regularly. This is our 71st script on Tradingview!
💬Check my Signature for other information
Autonomous LSTM [Noldo] Structure
Feature Layer 1 : Formulation :
The Autonomous LSTM adaptive period equation is a multivariate equation created by averaging a table based on market weights and optimizing it for each time period, by specially Artificial Neural Networks (ANN) training and taking note of the instruments chosen from Foreign exchange instruments, Stock markets , Futures and Commodities , Interest Rates and Yields all over the Global Markets.
Market weights and liquidities were taken into consideration and included in the calculations.
Feature Layer 2: Forecast Algorithm :
When we apply only the first item, we only get the buy and sell signals in reverse.
In other words, since we measure the expectation, the positive signal informs the bear market and the negative scenario informs the bull market.
If we only act according to the expectations market, our system will be very sensitive.
When we associate this with real prices, both our accuracy increases and the reverse market returns to the normal market.
In other words, as in the indicators with standard average, the upward crosses are buy and the downward crosses are sell signal.
Examples:
a -) The normal deep learning script (ANN), which is only created according to expectations:
Unlike standard market, it gives reverse signals.
Original script :
b-) Script with Forecast Algorithm but it only uses valid and standard periods for certain instruments :
Original script :
Feature Layer 3 : Composite of Two Layers : Adaptive Period (Length) Algorithm
This layer is the most important layer.
Outputs the period.
It adjusts itself to market conditions and provides a more agile trading environment under all circumstances.
Display of smart period function and standard period :
Where the market is stagnant, the period increases automatically and reduces unnecessary trade, while in trendy markets the period decreases automatically and allows to see positions first.
The degree of stagnation of the instrument concerned is not calculated solely by volatility.
We may perceive this in relation to several factors, but yes volatility is one of these factors.
When we put the script system under the MACD (Moving Average Convergence Divergence) roof, I did the tests.
Where both averages were positive, they could report accurate harsh trend news, or vice versa.
But I decided to give it up and put it on the Stochastic Money Flow Index .
First of all , Stochastic Money Flow Index function takes the volume into account.
The reason for this is a very important factor, which is naturally contained in the structure of High - Low conditions related codes.
And by using this factor, it could be superfast adaptive in both stagnant and trendy markets.
Feature Layer 4 : High - Low Selection Algorithm
The High-Low Selection Algorithm does not depend on a specific period but scans all periods backwards.(Lookback Function - Lkb )
Outputs the lowest or highest values in the specified new period.
This algorithm was written by me with the concern that if everyone trades according to the same threshold values, it will cause problems and choosing between values of the whole period length will slow down the signals.
This algorithm consists of two functions.
a - Lkb (Lookback Function) :
The lookback function scans back all periods from 0 to Smart Period bars at the same time.
In order to show the effect of the function, it was done between 0 and 84 bars.
However, the scan period of the function is normally at the same time: 0 to adaptive period time.
If the adaptive period includes a fractional day, it can also scan it.
There is no need to be an integer.
All functions are written to make mutable variables appropriate.
And what this function will scan depends on the second feature.
The special selection algorithm is in this function.And the output is given in this function.
b-) High - Low Selection Algorithm
Outputs the lowest or highest values in the specified new period.
This function allows you to select the most advantageous low or high values, even though the adaptive period remains the same.
And the signals are even more accurate.
This is a comparison of the High-Low selection algorithm and the Function: Stochastic Money Flow Index in the standard period.
For the codes of the Stochastic Money Flow Index function:
Speed may not be clear here.
So let's take a look at on chart.
So I would like to show a comparison values of the standard and special selection algorithms on Standard Highest - Lowest Function (All effort goes to RicardoSantos)
Note: This function is the standard function and freed from integer loads.
Blue = Function Highest - Lowest (length = 10 )
Yellow = Smart High-Low Selection Algorithm (length = 10 )
You can better observe the different results in the same period on the chart.
***
4 layers are interdependent.
And when the inter-layer operations are completed, output is given.
*** - Usage of Autonomous LSTM
Plot Rules
Blue Zones = Crossover condition where the average of long and short lines is less than 50.
Orange Zones = Crossunder condition where long and short lines averages more than 50.
Green Zones = Crossover condition where the average of long and short lines is greater than 50.
Red Zones = Crossunder condition where long and short lines averages less than 50.
*** Autonomous LSTM Settings :
It is just the barcolor to be colored according to the crossover and crossunder conditions or not (I / 0) option.
*** Autonomous LSTM Alerts :
As an alert, it only reports crossover and crossunder status as "Long Signal" and "Short Signal" as a warning after the first bar closure.
*** CONCLUSION :
Autonomous LSTM Designed to be used in any time frame.
Does not repaint in any time frame.
Script is independent of constant coefficients.No period adjustment is necessary.
Each layer transfers the information in its own layer to the next layer and the results are reflected in the Stochastic Money Flow Index function built on the resultant.
Regards.
(8) Closing Score VS-345Closing Score discloses to traders the sentiment of the traders in control of the current price. If we can accurately determine trader’s sentiment, we can determine where the market is heading.
Closing Score utilizes a very simple concept and formula to determine the trader's collective sentiment. The formula (((Close – Low) / (High – Low) * 100)) produces a range that is extracted from the true range of the stock’s activity. The High to the Low within the time frame / bars you have chosen. The final output of the formula produces a finite score, between 0 and 100 that indicates to the trader, what the sentiment of the traders where, at the conclusion of this bar or at the end of the trading day. This is displayed on a graph with 10 horizontal stratifications (shown below) each representing 1/10 of the indicators total range of 100. The final dots utilized to indicate the output of this indicator are then rounded to allow placement within the graphs stratification.
The closer the indicator's outputted signal comes to either extreme, zero or 100, the stronger the correlation is between the closing score and future price movements. 97 to 100 are very strong positive signals. 0 to 3 are very negative signals and both have been validated as statically significant, Three-Sigma-Signals. Additionally, we have added an interior band within the placement of the dots to indicate that their proximity is within 3% of the extreme reading of this indicator. If the volume is above the 14 day moving average it is indicated by placing a dot within the center of the indicator dots to denote a volume confirmation of this specific indicators signal. Dots that are both within the statistically relevant, extreme range and the volume for these bars were above the 14 day moving average produce a bulls-eye.
If you study or use candlestick analysis in your trading, you can think of Closing Score as an automatic candle stick analysis tool. Take a look at any candlestick pattern and compare the point of the closes in that pattern with its corresponding closing score and you will see a very strong correlation, greater than 95%, between what the Closing Score indicates and what the candlestick pattern is indicating.
There is an in-depth explanation of this indicator on our website as well as multiple resources related to understanding trader emotions and sentiment. This indicator was published in the Journal of Technical Analysis of Stock and Commodities; June, 2016 by Michael Slattery.
Access this Genie indicator for your Tradingview account, through our web site. (Links Below) This will provide you with additional educational information and reference articles, videos, input and setting options and trading strategies this indicator excels in.
Bitmex Funding Estimate with Moving AverageThis will show an estimate of the Bitmex Funding Rate and also a moving average of the rate. The moving average will be most accurate on the 8 hour chart as funding is paid every 8 hours. Values are NOT official, but can be helpful for sentiment. The Moving Average helps reflect that one or two funding changes do NOT result in a reversal. In a bull trend, funding often does not fully favor shorts until near the middle of the trend.
Market Sentiment Fans [CosmonautC]With these fans you can determine market sentiment.
Key assumption behind this is that traders are momentum focused so that majority of trades are in confluence with MA crosses.
Orange == Current trend is in bad condition and retail most likely in dire drawdown, capitulation
Red == Current trend is either flip floppy (chop) or approaching to go towards drawdown and push retail into heavy drawdown
Green == Choppy trend or approaching towards profitability for majority of retail traders
Lime (light green) = Majroity of retail in profit, euphoria
Added so you can change MA lookbacks, MA types, slope of the baseline as well as spread of the fan
Enjoy!
Emoji Sentiment Analyzer 😜Euphoria, fear, and greed are some aspects of emotional chart analysis. Our Emoji indicator makes tracking emotional traders easy and fun in any market.
Will you go with the herd or counter trade sentiment?
Want to see more Emojis on the chart? Drop us a comment with your request!
Call / All Ratio ( C / A ) - NoldoFirst of all this script inspired by MagicEins' Put/Call-Ratio-Buschi script .
What is the Put-Call Ratio
The put-call ratio is an indicator ratio that provides information about relative trading volumes of an underlying security's put options to its call options. The put-call ratio has long been viewed as an indicator of investor sentiment in the markets, where a large proportion of puts to calls indicates bearish sentiment, and vice versa. Technical traders use the put-call ratio as an indicator of performance and as a barometer of overall market sentiment. Put-call ratios on broader indexes such as the S&P 500 are also used as more general gauges of market climate.
Put-Call Ratio Interpretation
One way to interpret the put-call ratio is to say that a higher ratio means it's time to sell and a lower ratio means it's time to buy, because when the ratio is high it suggests that people are either expecting or protecting more readily against a future decline in the price of the underlying. A Put-Call ratio between 0.5 and 1 is considered a sideways trend in the markets.
Some also view the Put-Call ratio as a contrarian indicator. Traders know that derivatives are used to do more than place bets; they are used as hedges and insurance. If there's a lot of insurance being placed to the sell side, it means traders are worried about prices falling.
Some traders buy when the put-call ratio is above 1, meaning the market is out of balance to the sell side, and sell when the put-call ratio is below 1, meaning the market is out of balance to the buy side. These traders are looking to make money on the correction. The interpretation of the ratio is left to the analyst's or trader's investment philosophy.
Reference : Investopedia (www.investopedia.com)
Let' s start.
In short, calls represent "bulls" and puts represent "bears".
Some analysts do the opposite,for trend reversals the choice is up to you.
I usually look at the opposite comments in commercial positions because I look at this flow angle neutral.
If you want to do the opposite, you must create Put / All Ratio.
So i created this ratio to observe easily movements under or over 0.50 area .
Or you can take the point close to 0.50 as a horizontal trend. Many more comments can be made.I have a few ideas about this, and I'm going to publish them soon . My best suggestion is that it covers a single bar and is very volatile, so you can look for averages and strong accelerations.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
Stay tuned , best regards.
Market Sentiment - CryptoMarket Sentiment - Crypto
This is a market sentiment indicator.
When there is greed - it is good to go Short , when there is fear - go Long .
- The indicator can be used as a trend detection tool, greatly increasing the chance of being on the right side of the market.
- It directly shows the change in trend with Buy and Sell marks on the chart.
- Using it as a standalone is possible, but don't forget about Risk Management .
- Alerts are available.
- It works for Crypto only, showing the change in market sentiment for Bitcoin and Ethereum.
The same results are shown on all timeframes.
Higher timeframes may miss some small changes in trend because they may happen intra-bar. Lower timeframes are good for higher precision.
The indicator can be used on any chart, but it will show data relevant only to Crypto (Bitcoin and Ethereum).
Dependent Variable Odd Generator For Machine Learning TechniquesCAUTION : Not suitable for strategy, open to development.
If can we separate the stagnant market from other markets, can we be so much more accurate?
This project was written to research it. It is just the tiny part of the begining.
And this is a very necessary but very small side function in the main function. Lets start :
Hi users, I had this idea in my mind for a long time but I had a hard time finding the parameters that would make the market stagnant. This idea is my first original command system. Although it is very difficult to make sense of the stagnant market, I think that this command system can achieve realistic proportions. With 's money flow index, I opened the track to determine the level. On the other hand, the prices were also using a money flow index, and it forced me to make the limitations between the levels in a logical way. But the good thing is that since the bollinger bandwidth uses a larger period, we are able to print normal values at extreme buy and sell values.
In terms of price, we can define excessive purchase and sale values as the period is smaller. I have repeatedly looked at the limit values that determine the bull, bear, and bollinger bandwidth (mfi), and I think this is the right one. Then I have included these values in the probability set.
The bull and bear market did not form the intersection of the cluster, and because there are connected events, the stagnant market, which is the intersection, will be added to the other markets with the same venn diagram logic and the sum of the probability set will be 1. is equal to. I hope that we can renew the number generators in the very important parameters of machine learning such as Markov Process with generators dependent on dependent variables, which bring us closer to reality. This function is open to development and can be made of various ideas on machine learning. Best wishes.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
AutoClimate█ OVERVIEW:
AutoClimate is a trading tool designed to help you identify the ideal market environment for trading - whether you should go long, short or simply avoid trading. AutoClimate simplifies market analysis and helps you make informed trading decisions.
█ CONCEPTS:
AutoClimate helps you assess the current market environment and plan your trades accordingly
The tool is named AutoClimate because it identifies the prevailing market conditions - the "climate" - to help you make better trading decisions
AutoClimate adapts to your desired trade duration, whether it be for position, swing or intraday trades, based on the time interval selected
█ WITH MORE DETAIL:
AutoClimate is a tool used in trading to analyze market conditions and make informed decisions. It provides information about three key aspects: direction, sustainability, and volatility. The direction component focuses on the current climate and helps determine whether it is an up or down climate. The sustainability component measures how long a particular climate is expected to last based on statistical analysis. The volatility component assesses the distance between the current price and an average trading price.
By using AutoClimate, traders can gain valuable insights into market behavior and make more informed trading decisions. The tool takes into account statistical probabilities and provides objective data rather than relying on personal beliefs or external factors. This can be useful for all sort of trading styles, as it helps traders with their directional decisions based on the expected duration of a climate. Traders can consider the direction, sustainability, and volatility components to assess the overall market conditions and adjust their strategies accordingly.
Understanding the sustainability stats allows traders to gauge the expected duration of a climate. For example, if the sustainability stat suggests that up-climates tend to last eight bars, it provides a statistical probability for traders to consider when planning their trades or exiting them. Similarly, if the sustainability stat for down-climates indicates a duration of seven bars, traders can make decisions based on the likelihood of a sustained downward movement.
The value of AutoClimate lies in its ability to provide objective and quantifiable information about market conditions. It helps traders make more informed and data-driven decisions, reducing reliance on subjective interpretations or external influences.
█ BEHIND THE SCENES:
AutoClimate employs a systematic approach to comprehensively evaluate the prevailing market conditions. By closely examining the intricate dynamics of price action, AutoClimate discerns the presence of a distinct directional component and further quantifies the nature of these movements to ascertain whether the market is exhibiting impulsive trends or corrective patterns. During the initial phase of analysis, AutoClimate places considerable emphasis on determining the stability of the prevailing trend, aiming to identify the existence of a robust and consistent trajectory.
AutoClimate employs a scientific methodology to comprehend the robustness and trajectory of a trend. By utilizing exponential moving averages and scrutinizing price range extensions, AutoClimate endeavors to discern whether the market is experiencing an upward or downward shift and the intensity of such movements, thereby distinguishing between impulsive and corrective phases.
The examination of upper range measurements enables AutoClimate to gauge the potency of upward price movements. Remarkably elevated values in this context signify the presence of considerable positive momentum, emanating from heightened buying pressure within the market.
Similarly, the assessment of lower range measurements permits AutoClimate to assess the strength of downward price movements. Elevated values in this aspect indicate the existence of substantial negative momentum, stemming from intensified selling pressure within the market.
Convergence of data derived from moving averages and price range extensions plays a pivotal role in AutoClimate's analysis. When information from these diverse sources aligns harmoniously, it substantiates the confirmation of a trend, lending greater confidence to the assessment.
However, the scope of AutoClimate extends far beyond this assessment. It diligently accumulates an extensive array of data, which is then meticulously processed through a sophisticated statistical model, facilitating a deeper understanding of the market's inherent characteristics. Two key dimensions, namely "climate duration" and "max. distance" are rigorously analyzed and quantified within this statistical framework. The climate duration metric endeavors to encapsulate the projected lifespan of a specific market condition, shedding light on the anticipated longevity of prevailing trends or patterns. Conversely, the max. distance metric gauges the extent to which prices deviate from established benchmarks, enabling users of AutoClimate to gauge the likelihood of an ongoing market condition persisting or undergoing transformation.
The benchmarks are set to 1 Standard Deviation for Climate Duration and 2 Standard Deviations for Max. Distance.
By harnessing these intricate statistical models, AutoClimate empowers its users with a rigorous and scientific approach to evaluate the durability and potential stability of a given market condition.
█ FEATURES:
User-friendly interface that simplifies market analysis
Clear, intuitive indicator that provide a visual representation of the market environment
Customizable settings to adapt to your trading style and preferences
Compatible with various markets and timeframes
Regular updates and enhancements to ensure the tool remains effective and relevant
█ HOW TO USE:
Follow the author’s instructions to request access to this invite-only script or follow the links in the vendor’s signature field that appears under this description
Add AutoClimate to your TradingView chart by clicking on Indicators > Invite-only scripts > AutoClimate
Select the market and timeframe you want to analyze and make sure you have adjusted the calibration settings to your liking
Begin assessing the current market environment (climate)
Plan your trades based on the market conditions identified by AutoClimate and the rules of your trading plan
We strongly recommend you to read the HOW-TO idea on " HOW-TO Determine If It Is Time To Buy Or Sell With AutoClimate " which is linked below as a related idea
█ LIMITATIONS:
AutoClimate should not be used as the sole basis for trading decisions
The tool is not infallible and should be used in conjunction with other market analysis tools, especially when it comes to defining entry and exit prices, for which we prefer AutoUFOs
Thank you for considering AutoClimate as your ultimate market environment indicator. We hope it enhances your trading experience and leads to greater success in your trades
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Disclaimer: Trading involves risk and each investor/trader must determine if it is a suitable investment. Past performance is not indicative of future results. You accept responsibility for your actions and agree not to hold the author/developer liable for any outcomes.
No Service Guarantee: The author/developer makes no guarantee that the TradingView indicators and services will be uninterrupted, timely, secure, accurate, or error-free. The market data may be delayed, inaccurate, or contain errors, and the developer is not liable for any issues that arise.
Calibration: The user is responsible for calibrating the indicator as different parameters can produce different results. The author/developer is not responsible for any outcomes resulting from the user's calibration.
Testimonials: Testimonials are subjective and not independently verified.
[PX] MTF Candle SentimentThis indicator calculates the candlestick sentiment for the selected timeframe. The calculation consists of two steps:
Step 1: Positioning of the closing price:
Upper Third = High Close
Mid Third = Mid Close
Lower Third = Low Close
Step 2: Positioning of the closing price in comparison to its previous candle:
Close above the high of the previous candle = Bull candle
Close within the range of the previous candle = Range candle
Close below the low of the previous candle = Bear candle
Those two steps create 9 possible scores, which will determine the color of the graph.
If you are looking for someone to develop your own indicator or trading strategy, don't hesitate to get in touch with me here on TradingView or below.
Contact:
www.pascal-simon.de
info@pascal-simon.de
Sentiment Zone OscillatorHere's a (forgotten but still useful) Sentiment Zone Oscillator. The Sentiment Zone Oscillator takes a sum of positive price candles over a user-specified window length. Normally, a triple exponential moving average of the sum is used, but we opted to just go with a double EMA for the sake of more responsiveness. When the histogram is green it is bullish and red/pink means bears.
Fully Adjustable BTC Longs/ShortsThis indicator shows you Bitfinex Longs&Shorts charts in one handy indicator. It's fully adjustable to your own prefference.
Tipjar : 38uGQJDDZDL6wX48x4gYTccPeQ3ZHVYmY4 (btc)
Sentimental VolumeThe help's to understand volume trend with respect to price. It also show's the average volume. Volume unit are in Million's
Bitfinex SHORTS/LONGS - Contrarian Trend - JDA script indicating BFX sentiment through the current long and short positions.
-The histogram shows the dominant position.
-The line on the bottom shows the expected market direction from a contrarian standpoint.
PS. cudo's to @alexgrover for the quad-reg function!!
JD.
#NotTradingAdvice #DYOR
Identify market tops/ bottoms: Advance/ Decline Volume >89%Marks days with up-volume or down-volume greater than 89%. Helps to identify market bottoms or tops.
(Data from NYSE stock exchange)
Sentiment Index • Minimalist TradingThe Sentiment Index is a powerful indicator which supports even the beginner trader in being profitable by revealing the actual Sentiment of the market in real-time .
With the Sentiment Index you will not only know whether the market is bullish or bearish at any given moment but also when a weakening of the Sentiment occurs and a subsequent shift takes place.
The Sentiment Index constantly reads the market and gives you its best interpretation in order to keep you tuned into the same Sentiment regardless of how the market evolves .
The indicator is available via subscription and you can enjoy a free trial . To know more about the indicator and start the trial simply visit the link below.
➡ Try the indicator
