Sentiment
Bitcoin Bullish Percent IndexHello Traders,
This is Bitcoin Bullish Percent Index script. First lets talk about what the Bullish Percent Index and how it is calculated:
"The Bullish Percent Index (BPI) is a breadth indicator based on the number of securities on Point & Figure Buy Signals, Developed by Abe Cohen in the mid-1950s. Because a security is either on a P&F Buy or Sell Signal, there is no ambiguity when it comes to P&F charts. This makes BPI a straightforward indicator with clearly defined signals."
The calculation is straightforward and simple: (Number of securities on P&F Buy signals) / (Total number of securities)
Here you can see what the P&F buy signal is:
In this script I choose 40 cryptos that is correlated ( as I see ) with BTC (including BtcUsdt). in the first part the script creates P&F chart for each security and check if there is Buy or Sell signal and sum the buy signals if there is. in the second part it creates P&F chart by using the P&F buy/sell signals coming from the securities P&F chart. because of complicated calculation the script may need a few seconds to load.
in the first part reversal value is 3 by default but you can set different values as reversal. sometimes I got better results with reversal = 5.
in BPI part reversal = 3 is used. so each box represents 2% (each X or O is a box). And this means it takes at least a 6% move in BPI for a reversal. the Bullish Percent Index favors the bulls when above 50% and the bears when below 50%. The bulls have the edge when over 50% of stocks are on a P&F Buy Signal. BPI is also considered overbought when above 70% and oversold when below 30%. BPI can move between 0 and 100.
Because of 40 securities are used in the script and all different prices, it uses Percentage scaling only. it can calculate the Percentage automatically by using the time frame of the chart or you can set it as you wish.
The Signals coming from BPI:
Bull Alert: BPI is below 30% and then forms a new column of X's (rises)
Bear Alert: BPI is above 70% and then forms a new column of O's that decline below 70%.
Bull Confirmed: BPI is on a P&F buy signal and in a column of X's (rising).
Bear Confirmed: BPI is on a P&F sell signal and in a column of O's (falling).
Bull Correction: BPI is on a P&F buy signal, but currently falling (column of O's).
Bear Correction: BPI is on a P&F sell signal, but currently rising (column of X's).
If you are not familiar with Bullish Percent Index you better search it on the net to get more info, you can find a lot of articles and web sites about BPI.
as I remember I developed the script 6-7 months ago and today I had chance to publish it as it was
Enjoy!
Array-Trend-BandsHere I propose a simple trend following system, where one can ride out moves in a trending direction and use it to reenter the trades in the direction of the trend. This band is also capable of tracking down the strength of the price action, there will be a real indication of compression in price movement and expansion.
These zones usually blow traders' accounts when they trade MA's, they end up taking too many trades in the compression zones, it an inherent fault with the MA systems, no matter which MA you use. This, however, is a very clear indicator to avoid these compression zones to take the trade and enter only when price gives clear breakout.
This indicator does not require user input and it works on all TF and all instruments, as long as there is a price, this will work.
Past performance is no assurance of future success. This is an idea for education purposes only.
Please note that this is coded using TV's newly introduced array functions, so it's extremely snappy.
Regards!
Trapped Traders - SR Levels/Zones (Expo) Trapped Traders - SR Levels/Zones (Expo) automatically identifies and displays support and resistance levels based on where Bulls & Bears can be trapped.
Levels are displayed where there is a high probability that market participants will be trapped and forced to exit their positions if the price breakouts from the SR level.
If the price doesn't breakouts from the SR level there's a chance that the market has topped or bottomed out.
The indicator can be used standalone or as a part of your current trading strategy.
Real-time
No repainting
Works on any market
HOW TO USE
1. Use the indicator to identify where Bulls and Bears can be trapped.
2. Use the indicator to identify potential breakouts in the trend direction.
3. Use the indicator to identify potential reversal points.
INDICATOR IN ACTION
Daily Chart
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continually work on this indicator, so please share your experience and feedback as it will enable me to make even better improvements. Thanks to everyone that has already contacted me regarding my scripts. Your feedback is valuable for future developments!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
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Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas 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, 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 are only for educational purposes!
Sentiment Histogramthis indicator is used to plot the sentiment of the pair you are viewing
histogram style being used to make the visual nice and easy
as usual fully adjustable
DM for access rules
Bayes Probability Index by DGTWhat is Probability?
It is a measure for calculating the chances or the possibilities of the occurrence of a random event. In simple words, it calculates the chance of the favorable outcome amongst the entire possible outcomes. Mathematically, if you want to answer what is probability, it is defined as the ratio of the number of favorable events to the total number of possible outcomes of a random events.
Is this enough? May be or may be not
Let’s consider an example,
A simple probability question may ask: "What is the probability of Amazon.com's stock price falling?"
How about if we extend our question a step further by asking: "What is the probability of AMZN stock price falling given that the Dow Jones Industrial Average (DJIA) index fell earlier?"
Now we are ready to consider conditional probability and Bayes' Theorem is where we could find answer to this question
Bayes' Theorem
Bayes' theorem, named after 18th-century British mathematician Thomas Bayes, is a mathematical formula for determining conditional probability. Conditional probability is the likelihood of an outcome occurring, based on prior knowledge of conditions or another related event occurring. Bayes' theorem provides a way to revise existing predictions or theories (update probabilities) given new or additional evidence. Bayes' theorem thus gives the probability of an event based on new information that is, or may be related, to that event
Formula For Bayes' Theorem
P(A|B) = P(B∣A) * P(A) /P(B)
= P(B∣A) * P(A) / (P(B∣A)* P(A) + P(B∣A’)* P(A’) )
where
A and B are events and P is probability
P(A|B) is the posterior probability, the probability of A after taking into account B
P(A) is the prior probability, the probability of A belief
P(A’) is the prior probability, the probability of A disbelief : P(A’)=1- P(A)
P(B) is the prior probability, the probability of B belief
P(B∣A) is the conditional probability or likelihood, the degree of belief in B given that proposition of A belief (A true)
P(B∣A’) is the conditional probability or likelihood, the degree of belief in B given that proposition of A disbelief (A false)
Bitcoin was the first-ever cryptocurrency, designed by Satoshi Nakamoto. In its likeness, all other cryptocurrencies were then created. The relationship between Bitcoin and altcoins remains something crypto analyst watch closely. This study aims to display the likelihood of bullish movement for ALTS-USDT pairs taking into consideration of bullish move probability of BTC-USDT pair
What to look for:
Percentage Value of the Conditional Probability and/or Simple Probability. When value is above %50 than bullish move is more probable, conversely when the value is below %50 bearish move is more likely
Limitations : Conditional Probability Line will be shown for daily time frame only, Simply Probability Line would be available for all time frames
Conditional Probability is calculated with the condition of BTC-USDT pair so using Conditional Probability is suggested with ALTS-USDT pairs.
Indicators aim to generate a potential signal/indication of an upcoming opportunity, but, the Indicators themselves do not guarantee the future movement of a given financial instrument, and are most useful when used in combination with other techniques.
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Bhoomi SentimentBhoomi Sentiment shows you Market Trend in various timeframes over a user-specified window length. This is majorly used to know the Market Direction.
A global trend is also provided to show overall trend of the timeframes chosen by user.
When the bar is green it is bullish, when red it is bearish and when yellow it is sideways.
Yale Confidence Index [nb]These are the Yale confidence indexes that show individual and institutional sentiment.
Options include:
showing two different indexes at once
labels for them
to filter through a moving average
highlighting when the first chosen index is greater than the second
shifting the series 6 months ahead
showing an average of both indexes
U.S. One-Year Confidence Index
The percent of the population expecting an increase in the Dow in the coming year.
The One-Year Confidence Index is the percentage of respondents giving a number strictly greater than zero for "in 1 year." Note that the question is worded to mention the possibility that the respondent could predict a downturn, and so this question will obtain more such responses than more optimistically worded questions used by some other surveys. However, the issue is how the answers change through time, and the wording of the question has not been changed through time (except to add the 1-month and the ten-year categories, which were not on the earliest questionnaires).
U.S. Buy-on-Dips Confidence Index
The percent of the population expecting a rebound the next day should the market ever drop 3% in one day.
The Buy-On-Dips Confidence Index is the number of respondents who choose 1 (increase) as a percent of those who chose 1, 2 or 3. This question was never changed.
U.S. Crash Confidence Index
The percent of the population who attach little probability to a stock market crash in the next six months.
The Crash Confidence Index is the percentage of respondents who think that the probability is strictly less than 10%. There were slight wording changes in this question, but inessential.
U.S. Valuation Confidence Index
The percent of the population who think that the market is not too high.
The Valuation Confidence Index is the number of respondents who choose 1 (Too Low) or 3 (About right) as a percentage of those who choose 1, 2, or 3. The wording of this question was never changed, and it was always the first question on the questionnaire.
Source:
som.yale.edu
Includes methodology and questions used.
Japanese indexes aren't updated so I did not include them.
Bitcoin Futures SentimentMonitors the sentiment across Bitcoin Futures, large discrepancies indicate potential low risk (buy/green) and high risk (sell/red) zones.
Bias And Sentiment Strength (BASS) Indicator by mattzabBias And Sentiment Strength (BASS) Indicator is designed to be a quick visualization as to the market strength.
Pair with Alligator, MACD, or Moving Average lines on your chart for good results.
How to use this indicator:
Blue above 0 is positive sentiment, red below 0 is negative sentiment.
If you have blue above and red below, be cautious! The Bass is telling you that we have a battle between the Bulls and the Bears!
The purple bars are your volume bias. Volume bias can be positive or negative, despite the direction of the overall trend. Positive Volume Bias along with Bullish Blue Sentiment is a great sign! Go Long! If you have Bullish Sentiment and have a negative Volume Bias, be cautious! Price may not be moving with much conviction, and may be subject to reversal!
This is basically several different histograms overlaying one another, and they are blue above 0 and red below 0.
MACD Histogram - Standard MACD Histogram here.
RSI Histogram - This is a standard RSI. It has been adjusted to "oscillate" above and below zero, which would be the 50 line on a normal RSI chart.
Slow Stochastic Histogram - This is a slow stochastic with a 21 Period K, 14 Period D, and 14 Smoothing K. The "oscillator" histogram is formed by subtracting K from D.
Awesome Oscillator - This is a standard Awesome Oscillator
Alligator Oscillator - This is formed by adding (lips + teeth) + (teeth - jaw)
Volume Bias - The Volume Bias is displayed as purple bars, and is calculated by a highly sophisticated and complex algorithmic function called subtraction. It's just the 30 Period Volume-Weighted Moving Average Minus the 30 Simple Moving Average.
Enjoy!
Momentum Sentiment Indicator by mattzabThis indicator uses 3 moving averages and includes volume to display sentiment and momentum.
By default, a 5, 8, and 13 SMA is displayed (black lines).
The colored bands are the corresponding volume weighted moving averages.
When the colored band is above the black line, sentiment is bullish.
Think of the color as being a show of volume, and the black lines as support and resistance.
When the lines are trending up, and colors are above the black lines, an uptrend is in progress.
When the colors are mixed above and below, and the lines are intertwined, it is a ranging market.
The lines operate similar to the Williams Alligator.
Intelligent Price Action - Movement Down (Expo)Intelligent Price Action - Movement Down (Expo)
DESCRIPTION
Intelligent Price Action - Movement Down (Expo) identifies important down movements that have an impact on current price characteristics. The indicator is visualizing selling pressure! These price patterns are valuable insight when trading the market.
This indicator response faster to price movement and is more focused on detecting selling pressure rather than exhausted sellers.
• Selling pressure is seen in reversal points.
• Selling pressure can be seen when the sellers are exhausted.
• Selling pressure can be seen in negative breakouts.
HOW TO USE
1. Use the indicator to identify selling pressure.
2. Use the indicator to identify reversal points.
3. Use the indicator to identify exhausted sellers.
4. Use the indicator to identify breakouts.
Combine the indicator with ‘ Intellilligent Price Action - Movement Up (Expo) ’ or with my other Price Action indicators.
INDICATOR IN ACTION
EURUSD
EURUSD
BTCUSD
BTCUSD
GOLD
WALL STREET
WALL STREET
EURUSD
BTCUSD
BRENT
The indicator works with RENKO, HEIKIN ASHI and with KAGI charts as well.
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continue to work on this indicator, so please share your experience and feedback with me so that I can continuously improve it. Thanks to everyone that have contacted me regarding my scripts. Your feedback is valuable for future developments!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
-----------------
Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas 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 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, 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 are only for educational purposes!
Intelligent Price Action - Positive Close (Expo)Intelligent Price Action - Positive Close (Expo)
DESCRIPTION
Intelligent Price Action - Positive Close (Expo) identifies important positive closes that have an impact on current price characteristics. The indicator is visualizing buying pressure! These price patterns are valuable insight when trading the market.
• Buying pressure is seen in reversal points.
• Buying pressure can be seen when the buyers are exhausted.
• Buying pressure can be seen in positive breakouts.
HOW TO USE
1. Use the indicator to identify buying pressure.
2. Use the indicator to identify reversal points.
3. Use the indicator to identify exhausted buyers.
4. Use the indicator to identify breakouts.
Combine the indicator with ‘I ntellilligent Price Action - Negative Close (Expo) ’ or with my other Price Action indicators.
INDICATOR IN ACTION
EURUSD
EURUSD
BTCUSD
BRENT
WALL STREET
WALL STREET
WALL STREET
BTCUSD
BTCUSD
EURUSD
EURUSD
The indicator works with RENKO, HEIKIN ASHI and with KAGI charts as well.
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continue to work on this indicator, so please share your experience and feedback with me so that I can continuously improve it. Thanks to everyone that have contacted me regarding my scripts. Your feedback is valuable for future developments!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
-----------------
Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas 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 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, 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 are only for educational purposes!
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!
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!
