Commitment of Traders: Disaggregated Metrics█ OVERVIEW
This indicator displays the Commitment of Traders (COT) Disaggregated data for futures markets.
█ CONCEPTS
Commitment of Traders (COT) data is tallied by the Commodity Futures Trading Commission (CFTC) , a US federal agency that oversees the trading of derivative markets such as futures in the US. It is weekly data that provides traders with information about open interest for an asset. The CFTC oversees derivative markets traded on different exchanges, so COT data is available for assets that can be traded on CBOT, CME, NYMEX, COMEX, and ICEUS.
A detailed description of the COT report can be found on the CFTC's website .
COT data is separated into three notable reports: Legacy, Disaggregated, and Financial. This indicator presents data from the Disaggregated report. The disaggregated reports are broken down by agriculture, petroleum and products, natural gas and products, electricity and metals and other physical contracts. The Disaggregated reports break down the reportable open interest positions into four classifications: Producer/Merchant/Processor/User, Swap Dealers, Managed Money, and Other Reportables.
Our other COT indicators are:
• Commitment of Traders: Legacy Metrics
• Commitment of Traders: Financial Metrics
• Commitment of Traders: Total
█ HOW TO USE IT
Load the indicator on an active chart (see here if you don't know how).
By default, the indicator uses the chart's symbol to derive the COT data it displays. You can also specify a CFTC code in the "CFTC code" field of the script's inputs to display COT data from a symbol different than the chart's.
The rest of this section documents the script's input fields.
Metric
Each metric represents a different column of the Commitment of Traders report. Details are available in the explanatory notes on the CFTC's website .
Here is a summary of the metrics:
• "Open Interest" is the total of all futures and/or option contracts entered into and not yet offset by a transaction, by delivery, by exercise, etc.
The aggregate of all long open interest is equal to the aggregate of all short open interest.
• "Traders Total" is the quantity of all unique reportable traders, regardless of the trading direction.
• "Traders Producer Merchant" is the number of traders classified as a "producer/merchant/processor/user" reported holding any position with the specified direction.
A "producer/merchant/processor/user" is an entity that predominantly engages in the production, processing, packing or handling of a physical commodity and
uses the futures markets to manage or hedge risks associated with those activities.
• "Traders Swap" is the number of traders classified as "swap dealers" reported holding any position with the specified direction.
A "swap dealer" is an entity that deals primarily in swaps for a commodity and uses the futures markets to manage or hedge the risk associated with those swaps transactions.
The swap dealer’s counterparties may be speculative traders, like hedge funds, or traditional commercial clients that are managing risk arising from their dealings in the physical commodity.
• "Traders Managed Money" is the number of traders classified as "money managers" reported holding any position with the specified direction.
A "money manager" is a registered trader that is engaged in managing and conducting organized futures trading on behalf of clients.
• "Traders Other Reportable" is the number of reportable traders that are not placed in any of the three categories specified above.
• "Traders Total Reportable" is the number of traders reported holding any position with the specified direction.
To determine the total number of reportable traders in a market, a trader is counted only once whether or not the trader appears in more than one category.
As a result, the sum of the numbers of traders in each separate category typically exceeds the total number of reportable traders.
• "Producer Merchant/Swap/Managed Money/Total Reportable/Other Reportable Positions" is all positions held by the traders of the specified category.
• "Nonreportable Positions" is the long and short open interest derived by subtracting the total long and short reportable positions from the total open interest.
Accordingly, the number of traders involved and the classification of each trader are unknown.
• "Concentration Gross/Net LE 4/8 TDR" is the percentage of open interest held by 4/8 of the largest traders (entities), by Gross/Net positions, without regard to how they are classified.
The Net position ratios are computed after offsetting each trader’s equal long and short positions.
A reportable trader with relatively large, balanced long and short positions in a single market,
therefore, may be among the four and eight largest traders in both the gross long and gross short categories,
but will probably not be included among the four and eight largest traders on a net basis.
Direction
Each metric is available for a particular set of directions. Valid directions for each metric are specified with its name in the "Metric" field's dropdown menu.
Type
Possible values are: All, Old, Other. When commodities have a well-defined marketing season or crop year (e.g. Wheat or Lean Hogs futures), this determines how the data is aggregated. Detailed explanation can be found in the "Old and Other Futures" section of the CTFC Explanatory Notes linked above. The "Major Markets for Which the COT Data Is Shown by Crop Year" table in the Explanatory Notes specifies the commodities that this distinction applies to; selecting "Old" for any of the commodities not in that list will return the same data as in "All", while selecting "Other" will return 0.
Futures/Options
Specifies the type of Commitment of Traders data to display: data concerning only Futures, only Options, or both.
CTFC Code
Instead of letting the script generate the CFTC COT code from the chart and the "COT Selection Mode" input when this field is empty, you can specify an unrelated CFTC COT code here, e.g., 001602 for wheat futures.
Look first. Then leap.
Sentiment
Commitment of Traders: Financial Metrics█ OVERVIEW
This indicator displays the Commitment of Traders (COT) financial data for futures markets.
█ CONCEPTS
Commitment of Traders (COT) data is tallied by the Commodity Futures Trading Commission (CFTC) , a US federal agency that oversees the trading of derivative markets such as futures in the US. It is weekly data that provides traders with information about open interest for an asset. The CFTC oversees derivative markets traded on different exchanges, so COT data is available for assets that can be traded on CBOT, CME, NYMEX, COMEX, and ICEUS.
A detailed description of the COT report can be found on the CFTC's website .
COT data is separated into three notable reports: Legacy, Disaggregated, and Financial. This indicator presents data from the COT Financial (Traders in Financial Futures) report. The Financial report includes financial contracts, such as currencies, US Treasury securities, Eurodollars, stocks, VIX and Bloomberg commodity index. As such, the TFF data is limited to financial-related tickers. The TFF report breaks down the reportable open interest positions into four classifications: Dealer/Intermediary, Asset Manager/Institutional, Leveraged Funds, and Other Reportables.
Our other COT indicators are:
• Commitment of Traders: Legacy Metrics
• Commitment of Traders: Disaggregated Metrics
• Commitment of Traders: Total
█ HOW TO USE IT
Load the indicator on an active chart (see here if you don't know how).
By default, the indicator uses the chart's symbol to derive the COT data it displays. You can also specify a CFTC code in the "CFTC code" field of the script's inputs to display COT data from a symbol different than the chart's.
The rest of this section documents the script's input fields.
Metric
Each metric represents a different column of the Commitment of Traders report. Details are available in the explanatory notes on the CFTC's website .
Here is a summary of the metrics:
• "Open Interest" is the total of all futures and/or option contracts entered into and not yet offset by a transaction, by delivery, by exercise, etc.
The aggregate of all long open interest is equal to the aggregate of all short open interest.
• "Traders Total" is the number of all unique reportable traders, regardless of the trading direction.
• "Traders Dealer" is the number of traders classified as a "Dealer/Intermediary" reported holding any position with the specified direction.
A "producer/merchant/processor/user" is an entity typically described as the “sell side” of the market.
Though they may not predominately sell futures, they do design and sell various financial assets to clients.
They tend to have matched books or offset their risk across markets and clients.
Futures contracts are part of the pricing and balancing of risk associated with the products they sell and their activities.
• "Traders Asset Manager" is the number of traders classified as "Asset Manager/Institutional" reported holding any position with the specified direction.
These are institutional investors, including pension funds, endowments, insurance companies,
mutual funds and those portfolio/investment managers whose clients are predominantly institutional.
• "Traders Leveraged Funds" is the number of traders classified as "Leveraged Funds" reported holding any position with the specified direction.
These are typically hedge funds and various types of money managers. The traders may be engaged in managing and
conducting proprietary futures trading and trading on behalf of speculative clients.
• "Traders Other Reportable" is the number of reportable traders that are not placed in any of the three categories specified above.
The traders in this category mostly are using markets to hedge business risk, whether that risk is related to foreign exchange, equities or interest rates.
This category includes corporate treasuries, central banks, smaller banks, mortgage originators, credit unions and any other reportable traders not assigned to the other three categories.
• "Traders Total Reportable" is the number of all traders reported holding any position with the specified direction.
To determine the total number of reportable traders in a market, a trader is counted only once whether or not the trader appears in more than one category.
As a result, the sum of the numbers of traders in each separate category typically exceeds the total number of reportable traders.
• "Dealer/Asset Manager/Leveraged Funds/Total Reportable/Other Reportable Positions -- all positions held by the traders of the specified category.
• "Nonreportable Positions" is the long and short open interest derived by subtracting the total long and short reportable positions from the total open interest.
Accordingly, the number of traders involved and the commercial/non-commercial classification of each trader are unknown.
• "Concentration Gross/Net LT 4/8 TDR" is the percentage of open interest held by 4/8 of the largest traders, by gross/net positions,
without regard to whether they are classified as commercial or non-commercial. The Net position ratios are computed after offsetting each trader’s equal long and short positions.
A reportable trader with relatively large, balanced long and short positions in a single market, therefore,
may be among the four and eight largest traders in both the gross long and gross short categories, but will probably not be included among the four and eight largest traders on a net basis.
Direction
Each metric is available for a particular set of directions. Valid directions for each metric are specified with its name in the "Metric" field's dropdown menu.
COT Selection Mode
This field's value determines how the script determines which COT data to return from the chart's symbol:
- "Root" uses the root of a futures symbol ("ES" for "ESH2020").
- "Base currency" uses the base currency in a forex pair ("EUR" for "EURUSD").
- "Currency" uses the quote currency, i.e., the currency the symbol is traded in ("JPY" for "TSE:9984" or "USDJPY").
- "Auto" tries all modes, in turn.
If no COT data can be found, a runtime error is generated.
Note that if the "CTFC Code" input field contains a code, it will override this input.
Futures/Options
Specifies the type of Commitment of Traders data to display: data concerning only Futures, only Options, or both.
CTFC Code
Instead of letting the script generate the CFTC COT code from the chart and the "COT Selection Mode" input when this field is empty, you can specify an unrelated CFTC COT code here, e.g., 001602 for wheat futures.
Look first. Then leap.
Commitment of Traders: Total█ OVERVIEW
This indicator displays the Commitment of Traders (COT) totals data for futures markets.
█ CONCEPTS
Commitment of Traders (COT) data is tallied by the Commodity Futures Trading Commission (CFTC) , a US federal agency that oversees the trading of derivative markets such as futures in the US. It is weekly data that provides traders with information about open interest for an asset. The CFTC oversees derivative markets traded on different exchanges, so COT data is available for assets that can be traded on CBOT, CME, NYMEX, COMEX, and ICEUS.
A detailed description of the COT report can be found on the CFTC's website .
COT data is separated into three notable reports: Legacy, Disaggregated, and Financial. This indicator presents specific data from the COT Legacy report. The Total data details the positions held by various traders: Commercial Hedgers (traders registered with CFTC that use futures contracts in that particular commodity for hedging), Large Traders (traders registered with CFTC that do not hedge that particular commodity) and Small Traders (not registered with CFTC).
Our other COT indicators are:
• Commitment of Traders: Legacy Metrics
• Commitment of Traders: Disaggregated Metrics
• Commitment of Traders: Financial Metrics
█ HOW TO USE IT
Load the indicator on an active chart (see here if you don't know how).
By default, the indicator uses the chart's symbol to derive the COT data it displays. You can also specify a CFTC code in the "CFTC code" field of the script's inputs to display COT data from a symbol different than the chart's.
The rest of this section documents the script's input fields.
COT Selection Mode
This field's value determines how the script determines which COT data to return from the chart's symbol:
- "Root" uses the root of a futures symbol ("ES" for "ESH2020").
- "Base currency" uses the base currency in a forex pair ("EUR" for "EURUSD").
- "Currency" uses the quote currency, i.e., the currency the symbol is traded in ("JPY" for "TSE:9984" or "USDJPY").
- "Auto" tries all modes, in turn.
If no COT data can be found, a runtime error is generated.
Note that if the "CTFC Code" input field contains a code, it will override this input.
Futures/Options
Specifies the type of Commitment of Traders data to display: data concerning only Futures, only Options, or both.
Display
Determines the direction of the metrics requested from the CTFC report.
CTFC Code
Instead of letting the script generate the CFTC COT code from the chart and the "COT Selection Mode" input when this field is empty, you can specify an unrelated CFTC COT code here, e.g., 001602 for wheat futures.
Look first. Then leap.
Market bars sentimentBonjour,
j'ai écrit cette indicateur des sentiments de pour avoir une rapide aperçu de marche
Voici le code couleurs:
-barres de couleur rouge signalons la vent panique( pour certain opportunité)
-barres de couleur vert fonce signalons la positivité, début de dominance des acheteurs au la stabilisation des cours âpres les achats euphorique
-barres de couleur lime signalons éphorie des acheteurs sur le marche.
L’indicateur est adopter pour étudier le marche de cryptomonnaie,Indice boursier au actions en particulier.
High-Low IndexHello All,
High-Low Index is a breadth indicator based on Record High Percent (RHP). RHP is based on new 52-week highs and new 52-week lows. RHP => 100 * (new highs) / (new highs + new lows). High-Low Index is a 10-day Simple Moving Average of the RHP, which makes it a smoothed version of RHP. You can find many articles about High-Low Index on the net.
High-Low Index above 50 indicates that there are more new highs than new lows, and considered as Bullish.
High-Low Index below 50 indicates that there are more new lows than new highs, and considered as Bearish.
High-Low Index = 0 indicates there is no new highs (0% new highs).
High-Low Index = 100 indicates that there is at least 1 new high and no new lows.
and High-Low Index = 50 indicates that new highs and new lows is equal.
by default 40 cryptos are used in the script and shows High-Low Index for these cryptos. but you can change them as you wish. for example you can set all of them as stocks and see High-Low Index for these stocks.
You can set " Time frame " and the " Length " using the options. For example; if you set " Time frame " = 1 Week and the " Length " = 52 then it finds High-Low Index for 52weeks .
or another example; if you set " Time frame " = 1 Day and the " Length " = 22 the High-Low Indexn it finds High-Low Index for 22days.
You can enable/disable Record High Percent or Simple Moving Average of High-Low Index. Some traders use High-Low Index with its SMA, for example; High-Low Index generates a buy signal when it crosses above its moving average, and a sell signal when it crosses below its moving average.
Optionally you can see the securities in a table on the left bottom, you can change table size by usşng the options.
In the Table, for each security/cell;
=> if background is green then it has New High
=> if background is red then it has New Low
=> if background is gray then no New High, no New Low
=> if background is back then Data is not available for the security
As you can see in the screenshot below, the securities were changed and stocks are used instead of cryptos, so it calculates & shows High-Low Index for these stocks.
you can also find explanation in this screenshot:
Enjoy!
Sentiment Estimator [AstrideUnicorn]Sentiment Estimator is an indicator that estimates market sentiment using only its pricing data. It counts bullish and bearish candles in a rolling window and calculates their relative values as percentages of the total amount of candles in the window. Market sentiment shows the direction in which the market is biased to move or the current trend direction. Extreme values of the market sentiment are contrarian signals. When the market sentiment is too bullish, it is time to sell and vice versa.
HOW TO USE
Sentiment Estimator plots a pair of green and red circles for each candle. They represent bullish and bearish sentiments, respectively.
The vertical positions of the circles show corresponding sentiment values in percentage units. For example, if a green circle's height is 60, the market is 60% bullish. In this case, the red circle's height will be 40, as bullish and bearish parts of the market sentiment sum to 100%.
The blue line plotted at the 50% level shows the neutral sentiment level. If a green circle is above the blue line, the prevailing market sentiment at that time is bullish, and the market is biased to move up. If a red one is above, the market has predominantly bearish sentiment and is prone to move down.
The red level shows extreme sentiment level. If a green or red circle is above this line, it means that the market is extremely bullish or bearish, respectively. It is a contrarian signal, and one can expect a reversal soon. In this case, a blue label with the text "reversal expected" is shown.
SETTINGS
Timeframe - allows choosing a timeframe other than the chart's one for the indicator calculation.
Look-Back Window - sets the historical window length used to perform the calculations. You can adjust the window to get the best results for a particular market or timeframe.
Michigan Consumer SentimentThis script pulls the Michigan Consumer Sentiment from Quandl
This script also indexes the sentiment score from 0-100 on a 1 year lookback to help visualise extreme highs and lows that may indicator turning points.
© AlpHay : FINRA SHORT DATA REPORT TABLE with QUANDL Data// Equity Short Data Report Table:
// Data Provider: Quandl => Finra (Nyse + Nasdaq + Bats exchanges)
// I am not a financial advisor or expert.
// This is my interpretation of FINRA's data. Consider this data doesn't represent the whole picture of what is going on!
// If you find some fundementally wrong thinking about this aproach, please inform me.
// I am open to suggestions. I am also looking for answers.
// Use it with a daily timeframe for data consistency.
// You can change the threshold values whatever you want.
// MFM (Money Flow Multiplier):
// mfm = close == high and close == low or high == low ? 0 : (2 * close - low - high) / (high - low)
BTC Sentiment analysis RSI 2xEMAThis is a CRYPTO correlation strategy, which is using BTC sentiment with BITFINEX long and short ratios.
WIth them we are making from one side 2 RSI, one for long and another for short. And from another side, we are going to make multiple EMA's, using the ratios for long and short.
Rules for entry
For this scenario I created a long only strategy.
The long entry condition is : we have a crossover of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is above the long EMA and short ratio from BITFINEX is below short EMA.
We exit when we get the opposite condition, in this case we have a crossunder of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is below the long EMA and short ratio from BITFINEX is above short EMA.
If you have any questions, let me know !
RSI Support & Resistance by DGTRSI Sᴜᴘᴘᴏʀᴛ & Rᴇꜱɪꜱᴛᴀɴᴄᴇ ʙʏ DGT
This experimental study attempts to translate Relative Strength Index (RSI) threshold levels of oversold/overbought and bull/bear zones as probable Price Support and Resistance levels
█ OPTIONS
Support & Resistance Levels , the main aim of the study. Level calculations are based on Relative Strength Index (RSI) threshold levels of oversold/overbought and bull/bear zones, where all threshold values are customizable through the user dialog box. Background of the levels can be colored optionally
RSI Weighted Colored Bars and/or Mark Overbought/Oversold Bars , Bar colors can be painted to better emphasis RSI values. Darker colors when the oscillator is in oversold/overbought zones, light colors when oscillator readings are below/above the bull/bear zone respectively, and remain unchanged otherwise. Besides the colors, with “Display RSI Overbought/Oversold Price Bars” option little triangle shapes can be plotted on top or bottom of the bars when RSI is in oversold/overbought zones
Example usage of the study with explanations
█ OTHERS
More regarding Support & Resistance concept (definition, identifying levels, trading S&R, etc) you are kindly invited to check my previous publication
Price Action - Support & Resistance by DGT
More regarding Relative Strength Index (RSI) and Relative Strength of Volume Indicators , please check Relative Strength of Volume Indicators by DGT
Disclaimer:
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
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have 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
Put Call OscillatorThis is a volume-based oscillator used for detecting market sentiment.
This plots two moving averages of the CBOE S&P500 PCR (put call ratio), and a histogram to measure the distance between them. The histogram will generate signals of green (bullish) or red (bearish), depending on whether put volume is decreasing or increasing.
The moving averages are adjustable. They are set at 4 and 16 by default. Increasing the moving averages will generate less signals, while decreasing them will generate more signals.
The background will change color from red to green depending on whether the PCR is above or below 1.
I used capriole_charles script "Put/Call Ratio (PCR)" to help me build this.
Identifying Trapped Traders - Market Phycology IndicatorThis indicator displays how many buyers and sellers are trapped into their positions. These figures are calculated by comparing the price they entered their positions, to the current price +- trading fees.
This indicator also features an option to account for trading fees, so that it can be used as reliably in the real world, on real people as much as possible!
The chart is a simple zero-line cross, displaying both buyers and sellers trapped in the form of a histogram.
Hope you enjoy! Happy trading!
Weighted Move [racer8]Hey guys, I've been away for some time...you guys miss me? Ha! Well I'm back at it because today I have another indicator for you guys. I call it Weighted Move. Nothing out of the ordinary. What it does is it tells you the overall sentiment. I kinda stumbled upon this idea by accident ;)
In a nutshell, this indicator calculates the weighted move for 100 periods then smoothes it.
Enjoy ;)
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!
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.
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.
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!
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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.
