Auto Pitchfork, Fib Retracement and Zig Zag by DGTPitchfork is a technical indicator for a quick and easy way for traders to identify possible levels of support and resistance of an asset's price. It is presents and based on the idea that the market is geometric and cyclical in nature
Developed by Alan Andrews, so sometimes called Andrews’ Pitchfork
It is created by placing three points at the end of previous trends
Schiff and Modified Pitchfork is a technical analysis tool derived from Andrews' Pitchfork
In general, traders will purchase the asset when the price falls near the support of either the center trendline or the lowest trendline. Conversely, they'll sell the asset when it approaches the resistance of either the center line or the highest trendline.
█ Study OPTIONS
Auto Pitchfork , the main aim of the study
Pivots threshold can be customized by “Deviation” and “Depth” input options
Pitchfork Type selection, available options Andrews' Pitchfork (Original), Schiff and Modified Pitchfork
Ability to set ALERTs for the Pitchfork Levels
Ability to add customized levels (all level lines customizable)
Auto Fib Retracement – This is the build-in study of TradingView, slight changes applied to fit with Auto Pitchfork
Zig Zag – Derived from build-in Auto Fib Retracement with some customization options.
█ Usage Tips :
Andrews' Pitchfork (Original) best fit in a Strong Trending Market
Schiff and Modified Pitchfork better with Correcting or Sideways Market. Modified Pitchfork is almost identical to a Parallel Chanel
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
חפש סקריפטים עבור "THE SCRIPT"
PRIME - ShadoW ZoneZ with RSI LevelsIn This experimental study, we've taken RSI data, Volume Profile, and Trend analysis, combining them into one unique package that will allow a trader to analyze market trend lines and their proposed channels, trend momentum through candle color augmentation similar to "Pulse", and Visible Volume index price levels on chart for the current sequence. Below are explanations of each function within the system.
The Semafor is used to spot future multi-level Supports and Resistance zones.
It is also useful to spot HL or LL or HH or LH zones at different Depth settings.
The red zones are the extreme places where the market has a higher chance of reversing while the green zones have the lowest setting with lower chances of the market reversal
Automatic Trend Lines
The indicator takes in 2 timeframes to detect High and Low values from which to draw the trend lines of each timeframe.
As the values change with price movement, the lines are updated. They are color coded for uptrend and downtrend based on the direction of each individual line. Trend lines can be set up to color with only the default value on the configurations panel.
- Toggle on/off Color Coded
- Change Default, Uptrend, Downtrend color
- Change Line Width
- Change Line Style
- Toggle on/off Line Extensions
- Change Extended Line Width
- Change Extended Line Style
- Toggle On/Off labels for 7 data points of each timeframe
Automatic Trend Sights
This is a neat feature that may help you get a better feel for the direction the current movement is heading towards in correlation with the short or medium length timeframe trends. The sight draws a line from the middle vertical point of the trend coordinates towards the current price. They are toggled off by default but can be enabled in the configurations panel.
- Toggle on/off sight on each timeframe
- Change Width
- Change Line Style
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 .
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
Double EMA CROSS
Double EMA CROSS (DEC)
Useful for identifying and receiving alerts about uptrends and downtrends.
This script uses two Exponential Moving Averages (EMAs) to find price uptrends and downtrends.
An Exponential Moving Average ( EMA ) is a type of moving average that places a greater weight and significance on the most recent data points.
The script produces uptrend and downtrend signals based on crossovers and divergences between the two EMAs,
the user will be able to spot a trend change (when the EMAs crossover) and to determine the strength of the current trend (when the EMAs diverge).
It is also posible to get alerts for uptrends and downtrends on the web and mobile app with sound and pop-ups as well as via email.
The optimal time to enter and exit the market can be concluded from this trend changes.
The user can set their own EMAs, by default they are set to 25 and 75 periods for medium and long term respectively.
When the medium term EMA crosses below the long term EMA the asset is in a downtrend and the price will decline, and when the
medium term EMA crosses above the long term EMA the asset is in an uptrend and price will increase.
This scripts plots the following indicators and signals on the chart to help the user to identify trends:
1.- Medium and long term EMAs as lines overlaid on the price chart.
2.- Up green triangles above bars when the price is on an uptrend and down red triangles below bars when the price is on a downtrend.
3.- Arrows with text to indicate the start of an uptrend or downtrend.
The user can enable and disable the indicators and signals as well as set colors and shapes to their liking.
This script also lets the user create alerts for uptrends and downtrends. To create a new alert using this script follow this instructions:
1.- Once you added this script to your chart, go to the alerts panel (right on web or bottom tool bar on the mobile app) and add a new alert (alarm clock icon with a plus sign).
2.- A modal window will open. On the “Condition” dropdown menu select “DEC”.
3.- On the next dropdown menu (right below the “Condition” one) you can select.
4.- Lastly you can set all the normal alert options and create the alert.
EMA CrossoversUseful for identifying and receiving alerts about uptrends and downtrends.
This script uses two Exponential Moving Averages (EMAs) to find price uptrends and downtrends. An Exponential Moving Average (EMA) is a type of moving average that places a greater weight and significance on the most recent data points. The script produces uptrend and downtrend signals based on crossovers and divergences between the two EMAs, the user will be able to spot a trend change (when the EMAs crossover) and to determine the strength of the current trend (when the EMAs diverge). It is also posible to get alerts for uptrends and downtrends on the web and mobile app with sound and pop-ups as well as via email. The optimal time to enter and exit the market can be concluded from this trend changes.
The user can set their own EMAs, by default they are set to 21 and 55 periods for medium and long term respectively. When the medium term EMA crosses below the long term EMA the asset is in a downtrend and the price will decline, and when the medium term EMA crosses above the long term EMA the asset is in an uptrend and price will increase.
This scripts plots the following indicators and signals on the chart to help the user to identify trends:
1.- Medium and long term EMAs as lines overlaid on the price chart.
2.- Up green triangles above bars when the price is on an uptrend and down red triangles below bars when the price is on a downtrend.
3.- Arrows with text to indicate the start of an uptrend or downtrend.
The user can enable and disable the indicators and signals as well as set colors and shapes to their liking.
This script also lets the user create alerts for uptrends and downtrends. To create a new alert using this script follow this instructions:
1.- Once you added this script to your chart, go to the alerts panel (right on web or bottom tool bar on the mobile app) and add a new alert (alarm clock icon with a plus sign).
2.- A modal window will open. On the “Condition” dropdown menu select “EMA Crossovers”.
3.- On the next dropdown menu (right below the “Condition” one) you can select from two types of alerts “Uptrend started” and “Downtrend started”.
4.- Lastly you can set all the normal alert options and create the alert.
Efficient Work [LucF]█ OVERVIEW
Efficient Work measures the ratio of price movement from close to close ( resulting work ) over the distance traveled to the high and low before settling down at the close ( total work ). The closer the two values are, the more Efficient Work approaches its maximum value of +1 for an up move or -1 for a down move. When price does not change, Efficient Work is zero.
Higher values of Efficient Work indicate more efficient price travel between the close of two successive bars, which I interpret to be more significant, regardless of the move's amplitude. Because it measures the direction and strength of price changes rather than their amplitude, Efficient Work may be thought of as a sentiment indicator.
█ CONCEPTS
This oscillator's design stems from a few key concepts.
Relative Levels
Other than the centerline, relative rather than absolute levels are used to identify levels of interest. Accordingly, no fixed levels correspond to overbought/oversold conditions. Relative levels of interest are identified using:
• A Donchian channel (historical highs/lows).
• The oscillator's position relative to higher timeframe values.
• Oscillator levels following points in time where a divergence is identified.
Higher timeframes
Two progressively higher timeframes are used to calculate larger-context values for the oscillator. The rationale underlying the use of timeframes higher than the chart's is that, while they change less frequently than the values calculated at the chart's resolution, they are more meaningful because more work (trader activity) is required to calculate them. Combining the immediacy of values calculated at the chart's resolution to higher timeframe values achieves a compromise between responsiveness and reliability.
Divergences as points of interest rather than directional clues
A very simple interpretation of what constitutes a divergence is used. A divergence is defined as a discrepancy between any bar's direction and the direction of the signal line on that same bar. No attempt is made to attribute a directional bias to divergences when they occur. Instead, the oscillator's level is saved and subsequent movement of the oscillator relative to the saved level is what determines the bullish/bearish state of the oscillator.
Conservative coloring scheme
Several additive coloring conditions allow the bull/bear coloring of the oscillator's main line to be restricted to specific areas meeting all the selected conditions. The concept is built on the premise that most of the time, an oscillator's value should be viewed as mere noise, and that somewhat like price, it only occasionally conveys actionable information.
█ FEATURES
Plots
• Three lines can be plotted. They are named Main line , Line 2 and Line 3 . You decide which calculation to use for each line:
• The oscillator's value at the chart's resolution.
• The oscillator's value at a medium timeframe higher than the chart's resolution.
• The oscillator's value at the highest timeframe.
• An aggregate line calculated using a weighed average of the three previous lines (see the Aggregate Weights section of Inputs to configure the weights).
• The coloring conditions, divergence levels and the Hi/Lo channel always apply to the Main line, whichever calculation you decide to use for it.
• The color of lines 2 and 3 are fixed but can be set in the "Colors" section of Inputs.
• You can change the thickness of each line.
• When the aggregate line is displayed, higher timeframe values are only used in its calculation when they become available in the chart's history,
otherwise the aggregate line would appear much later on the chart. To indicate when each higher timeframe value becomes available,
a small label appears near the centerline.
• Divergences can be shown as small dots on the centerline.
• Divergence levels can be shown. The level and fill are determined by the oscillator's position relative to the last saved divergence level.
• Bull/bear markers can be displayed. They occur whenever a new bull/bear state is determined by the "Main Line Coloring Conditions".
• The Hi/Lo (Donchian) channel can be displayed, and its period defined.
• The background can display the state of any one of 11 different conditions.
• The resolutions used for the higher timeframes can be displayed to the right of the last bar's value.
• Four key values are always displayed in the Data Window (fourth icon down to the right of your chart):
oscillator values for the chart, medium and highest timeframes, and the oscillator's instant value before it is averaged.
Main Line Coloring Conditions
• Nine different conditions can be selected to determine the bull/bear coloring of the main line. All conditions set to "ON" must be met to determine the bull/bear state.
• A volatility state can also be used to filter the conditions.
• When the coloring conditions and the filter do not allow for a bull/bear state to be determined, the neutral color is used.
Signal
• Seven different averages can be used to calculate the average of the oscillator's value.
• The average's period can be set. A period of one will show the instant value of the oscillator,
provided you don't use linear regression or the Hull MA as they do not work with a period of one.
• An external signal can be used as the oscillator's instant value. If an already averaged external value is used, set the period to one in this indicator.
• For the cases where an external signal is used, a centerline value can be set.
Higher Timeframes
• The two higher timeframes are named Medium timeframe and Highest timeframe . They can be determined using one of three methods:
• Auto-steps: the higher timeframes are determined using the chart's resolution. If the chart uses a seconds resolution, for example,
the medium and highest resolutions will be 15 and 60 minutes.
• Multiples: the timeframes are calculated using a multiple of the chart's resolution, which you can set.
• Fixed: the set timeframes do not change with the chart's resolution.
Repainting
• Repainting can be controlled separately for the chart's value and the higher timeframe values.
• The default is a repainting chart value and non-repainting higher timeframe values. The Aggregate line will thus repaint by default,
as it uses the chart's value along with the higher timeframes values.
Aggregate Weights
• The weight of each component of the Aggregate line can be set.
• The default is equal weights for the three components, meaning that the chart's value accounts for one third of the weight in the Aggregate.
High Volatility
• This provides control over the volatility filter used in the Main line's coloring conditions and the background display.
• Volatility is determined to be high when the short-term ATR is greater than the long-term ATR.
Colors
• You can define your own colors for all of the oscillator's plots.
• The default colors will perform well on both white and black chart backgrounds.
Alerts
• An alert can be defined for the script. The alert will trigger whenever a bull/bear marker appears in the indicator's display.
The particular combination of coloring conditions and the display of bull/bear markers when you create the alert will thus determine when the alert triggers.
Once the alerts are created, subsequent changes to the conditions controlling the display of markers will not affect the existing alert(s).
• You can create multiple alerts from this script, each triggering on different conditions.
Backtesting & Trading Engine Signal Line
• An invisible plot named "BTE Signal" is provided. It can be used as an entry signal when connected to the PineCoders Backtesting & Trading Engine as an external input.
It will generate an entry whenever a marker is displayed.
█ NOTES
• I do not know for sure if the calculations in Efficient Work are original. I apologize if they are not.
• Because this version of Efficient Work only has access to OHLC information, it cannot measure the total distance traveled through all of a bar's ticks, but the indicator nonetheless behaves in a manner consistent with the intentions underlying its design.
For Pine coders
This code was written using the following standards:
• The PineCoders Coding Conventions for Pine .
• A modified version of the PineCoders MTF Oscillator Framework and MTF Selection Framework .
Universal Global SessionUniversal Global Session
This Script combines the world sessions of: Stocks, Forex, Bitcoin Kill Zones, strategic points, all configurable, in a single Script, to capitalize the opening and closing times of global exchanges as investment assets, becoming an Universal Global Session .
It is based on the great work of @oscarvs ( BITCOIN KILL ZONES v2 ) and the scripts of @ChrisMoody. Thank you Oscar and Chris for your excellent judgment and great work.
At the end of this writing you can find all the internet references of the extensive documentation that I present here. To maximize your benefits in the use of this Script, I recommend that you read the entire document to create an objective and practical criterion.
All the hours of the different exchanges are presented at GMT -6. In Market24hClock you can adjust it to your preferences.
After a deep investigation I have been able to show that the different world sessions reveal underlying investment cycles, where it is possible to find sustained changes in the nominal behavior of the trend before the passage from one session to another and in the natural overlaps between the sessions. These underlying movements generally occur 15 minutes before the start, close or overlap of the session, when the session properly starts and also 15 minutes after respectively. Therefore, this script is designed to highlight these particular trending behaviors. Try it, discover your own conclusions and let me know in the notes, thank you.
Foreign Exchange Market Hours
It is the schedule by which currency market participants can buy, sell, trade and speculate on currencies all over the world. It is open 24 hours a day during working days and closes on weekends, thanks to the fact that operations are carried out through a network of information systems, instead of physical exchanges that close at a certain time. It opens Monday morning at 8 am local time in Sydney —Australia— (which is equivalent to Sunday night at 7 pm, in New York City —United States—, according to Eastern Standard Time), and It closes at 5pm local time in New York City (which is equivalent to 6am Saturday morning in Sydney).
The Forex market is decentralized and driven by local sessions, where the hours of Forex trading are based on the opening range of each active country, becoming an efficient transfer mechanism for all participants. Four territories in particular stand out: Sydney, Tokyo, London and New York, where the highest volume of operations occurs when the sessions in London and New York overlap. Furthermore, Europe is complemented by major financial centers such as Paris, Frankfurt and Zurich. Each day of forex trading begins with the opening of Australia, then Asia, followed by Europe, and finally North America. As markets in one region close, another opens - or has already opened - and continues to trade in the currency market. The seven most traded currencies in the world are: the US dollar, the euro, the Japanese yen, the British pound, the Australian dollar, the Canadian dollar, and the New Zealand dollar.
Currencies are needed around the world for international trade, this means that operations are not dominated by a single exchange market, but rather involve a global network of brokers from around the world, such as banks, commercial companies, central banks, companies investment management, hedge funds, as well as retail forex brokers and global investors. Because this market operates in multiple time zones, it can be accessed at any time except during the weekend, therefore, there is continuously at least one open market and there are some hours of overlap between the closing of the market of one region and the opening of another. The international scope of currency trading means that there are always traders around the world making and satisfying demands for a particular currency.
The market involves a global network of exchanges and brokers from around the world, although time zones overlap, the generally accepted time zone for each region is as follows:
Sydney 5pm to 2am EST (10pm to 7am UTC)
London 3am to 12 noon EST (8pm to 5pm UTC)
New York 8am to 5pm EST (1pm to 10pm UTC)
Tokyo 7pm to 4am EST (12am to 9am UTC)
Trading Session
A financial asset trading session refers to a period of time that coincides with the daytime trading hours for a given location, it is a business day in the local financial market. This may vary according to the asset class and the country, therefore operators must know the hours of trading sessions for the securities and derivatives in which they are interested in trading. If investors can understand market hours and set proper targets, they will have a much greater chance of making a profit within a workable schedule.
Kill Zones
Kill zones are highly liquid events. Many different market participants often come together and perform around these events. The activity itself can be event-driven (margin calls or option exercise-related activity), portfolio management-driven (asset allocation rebalancing orders and closing buy-in), or institutionally driven (larger players needing liquidity to complete the size) or a combination of any of the three. This intense cross-current of activity at a very specific point in time often occurs near significant technical levels and the established trends emerging from these events often persist until the next Death Zone approaches or enters.
Kill Zones are evolving with time and the course of world history. Since the end of World War II, New York has slowly invaded London's place as the world center for commercial banking. So much so that during the latter part of the 20th century, New York was considered the new center of the financial universe. With the end of the cold war, that leadership appears to have shifted towards Europe and away from the United States. Furthermore, Japan has slowly lost its former dominance in the global economic landscape, while Beijing's has increased dramatically. Only time will tell how these death zones will evolve given the ever-changing political, economic, and socioeconomic influences of each region.
Financial Markets
New York
New York (NYSE Chicago, NASDAQ)
7:30 am - 2:00 pm
It is the second largest currency platform in the world, followed largely by foreign investors as it participates in 90% of all operations, where movements on the New York Stock Exchange (NYSE) can have an immediate effect (powerful) on the dollar, for example, when companies merge and acquisitions are finalized, the dollar can instantly gain or lose value.
A. Complementary Stock Exchanges
Brazil (BOVESPA - Brazilian Stock Exchange)
07:00 am - 02:55 pm
Canada (TSX - Toronto Stock Exchange)
07:30 am - 02:00 pm
New York (NYSE - New York Stock Exchange)
08:30 am - 03:00 pm
B. North American Trading Session
07:00 am - 03:00 pm
(from the beginning of the business day on NYSE and NASDAQ, until the end of the New York session)
New York, Chicago and Toronto (Canada) open the North American session. Characterized by the most aggressive trading within the markets, currency pairs show high volatility. As the US markets open, trading is still active in Europe, however trading volume generally decreases with the end of the European session and the overlap between the US and Europe.
C. Strategic Points
US main session starts in 1 hour
07:30 am
The euro tends to drop before the US session. The NYSE, CHX and TSX (Canada) trading sessions begin 1 hour after this strategic point. The North American session begins trading Forex at 07:00 am.
This constitutes the beginning of the overlap of the United States and the European market that spans from 07:00 am to 10:35 am, often called the best time to trade EUR / USD, it is the period of greatest liquidity for the main European currencies since it is where they have their widest daily ranges.
When New York opens at 07:00 am the most intense trading begins in both the US and European markets. The overlap of European and American trading sessions has 80% of the total average trading range for all currency pairs during US business hours and 70% of the total average trading range for all currency pairs during European business hours. The intersection of the US and European sessions are the most volatile overlapping hours of all.
Influential news and data for the USD are released between 07:30 am and 09:00 am and play the biggest role in the North American Session. These are the strategically most important moments of this activity period: 07:00 am, 08:00 am and 08:30 am.
The main session of operations in the United States and Canada begins
08:30 am
Start of main trading sessions in New York, Chicago and Toronto. The European session still overlaps the North American session and this is the time for large-scale unpredictable trading. The United States leads the market. It is difficult to interpret the news due to speculation. Trends develop very quickly and it is difficult to identify them, however trends (especially for the euro), which have developed during the overlap, often turn the other way when Europe exits the market.
Second hour of the US session and last hour of the European session
09:30 am
End of the European session
10:35 am
The trend of the euro will change rapidly after the end of the European session.
Last hour of the United States session
02:00 pm
Institutional clients and very large funds are very active during the first and last working hours of almost all stock exchanges, knowing this allows to better predict price movements in the opening and closing of large markets. Within the last trading hours of the secondary market session, a pullback can often be seen in the EUR / USD that continues until the opening of the Tokyo session. Generally it happens if there was an upward price movement before 04:00 pm - 05:00 pm.
End of the trade session in the United States
03:00 pm
D. Kill Zones
11:30 am - 1:30 pm
New York Kill Zone. The United States is still the world's largest economy, so by default, the New York opening carries a lot of weight and often comes with a huge injection of liquidity. In fact, most of the world's marketable assets are priced in US dollars, making political and economic activity within this region even more important. Because it is relatively late in the world's trading day, this Death Zone often sees violent price swings within its first hour, leading to the proven adage "never trust the first hour of trading in America. North.
---------------
London
London (LSE - London Stock Exchange)
02:00 am - 10:35 am
Britain dominates the currency markets around the world, and London is its main component. London, a central trading capital of the world, accounts for about 43% of world trade, many Forex trends often originate from London.
A. Complementary Stock Exchange
Dubai (DFM - Dubai Financial Market)
12:00 am - 03:50 am
Moscow (MOEX - Moscow Exchange)
12:30 am - 10:00 am
Germany (FWB - Frankfurt Stock Exchange)
01:00 am - 10:30 am
Afríca (JSE - Johannesburg Stock Exchange)
01:00 am - 09:00 am
Saudi Arabia (TADAWUL - Saudi Stock Exchange)
01:00 am - 06:00 am
Switzerland (SIX - Swiss Stock Exchange)
02:00 am - 10:30 am
B. European Trading Session
02:00 am - 11:00 am
(from the opening of the Frankfurt session to the close of the Order Book on the London Stock Exchange / Euronext)
It is a very liquid trading session, where trends are set that start during the first trading hours in Europe and generally continue until the beginning of the US session.
C. Middle East Trading Session
12:00 am - 06:00 am
(from the opening of the Dubai session to the end of the Riyadh session)
D. Strategic Points
European session begins
02:00 am
London, Frankfurt and Zurich Stock Exchange enter the market, overlap between Europe and Asia begins.
End of the Singapore and Asia sessions
03:00 am
The euro rises almost immediately or an hour after Singapore exits the market.
Middle East Oil Markets Completion Process
05:00 am
Operations are ending in the European-Asian market, at which time Dubai, Qatar and in another hour in Riyadh, which constitute the Middle East oil markets, are closing. Because oil trading is done in US dollars, and the region with the trading day coming to an end no longer needs the dollar, consequently, the euro tends to grow more frequently.
End of the Middle East trading session
06:00 am
E. Kill Zones
5:00 am - 7:00 am
London Kill Zone. Considered the center of the financial universe for more than 500 years, Europe still has a lot of influence in the banking world. Many older players use the European session to establish their positions. As such, the London Open often sees the most significant trend-setting activity on any trading day. In fact, it has been suggested that 80% of all weekly trends are set through the London Kill Zone on Tuesday.
F. Kill Zones (close)
2:00 pm - 4:00 pm
London Kill Zone (close).
---------------
Tokyo
Tokyo (JPX - Tokyo Stock Exchange)
06:00 pm - 12:00 am
It is the first Asian market to open, receiving most of the Asian trade, just ahead of Hong Kong and Singapore.
A. Complementary Stock Exchange
Singapore (SGX - Singapore Exchange)
07:00 pm - 03:00 am
Hong Kong (HKEx - Hong Kong Stock Exchange)
07:30 pm - 02:00 am
Shanghai (SSE - Shanghai Stock Exchange)
07:30 pm - 01:00 am
India (NSE - India National Stock Exchange)
09:45 pm - 04:00 am
B. Asian Trading Session
06:00 pm - 03:00 am
From the opening of the Tokyo session to the end of the Singapore session
The first major Asian market to open is Tokyo which has the largest market share and is the third largest Forex trading center in the world. Singapore opens in an hour, and then the Chinese markets: Shanghai and Hong Kong open 30 minutes later. With them, the trading volume increases and begins a large-scale operation in the Asia-Pacific region, offering more liquidity for the Asian-Pacific currencies and their crosses. When European countries open their doors, more liquidity will be offered to Asian and European crossings.
C. Strategic Points
Second hour of the Tokyo session
07:00 pm
This session also opens the Singapore market. The commercial dynamics grows in anticipation of the opening of the two largest Chinese markets in 30 minutes: Shanghai and Hong Kong, within these 30 minutes or just before the China session begins, the euro usually falls until the same moment of the opening of Shanghai and Hong Kong.
Second hour of the China session
08:30 pm
Hong Kong and Shanghai start trading and the euro usually grows for more than an hour. The EUR / USD pair mixes up as Asian exporters convert part of their earnings into both US dollars and euros.
Last hour of the Tokyo session
11:00 pm
End of the Tokyo session
12:00 am
If the euro has been actively declining up to this time, China will raise the euro after the Tokyo shutdown. Hong Kong, Shanghai and Singapore remain open and take matters into their own hands causing the growth of the euro. Asia is a huge commercial and industrial region with a large number of high-quality economic products and gigantic financial turnover, making the number of transactions on the stock exchanges huge during the Asian session. That is why traders, who entered the trade at the opening of the London session, should pay attention to their terminals when Asia exits the market.
End of the Shanghai session
01:00 am
The trade ends in Shanghai. This is the last trading hour of the Hong Kong session, during which market activity peaks.
D. Kill Zones
10:00 pm - 2:00 am
Asian Kill Zone. Considered the "Institutional" Zone, this zone represents both the launch pad for new trends as well as a recharge area for the post-American session. It is the beginning of a new day (or week) for the world and as such it makes sense that this zone often sets the tone for the remainder of the global business day. It is ideal to pay attention to the opening of Tokyo, Beijing and Sydney.
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Sidney
Sydney (ASX - Australia Stock Exchange)
06:00 pm - 12:00 am
A. Complementary Stock Exchange
New Zealand (NZX - New Zealand Stock Exchange)
04:00 pm - 10:45 pm
It's where the global trading day officially begins. While it is the smallest of the megamarkets, it sees a lot of initial action when markets reopen Sunday afternoon as individual traders and financial institutions are trying to regroup after the long hiatus since Friday afternoon. On weekdays it constitutes the end of the current trading day where the change in the settlement date occurs.
B. Pacific Trading Session
04:00 pm - 12:00 am
(from the opening of the Wellington session to the end of the Sydney session)
Forex begins its business hours when Wellington (New Zealand Exchange) opens local time on Monday. Sydney (Australian Stock Exchange) opens in 2 hours. It is a session with a fairly low volatility, configuring itself as the calmest session of all. Strong movements appear when influential news is published and when the Pacific session overlaps the Asian Session.
C. Strategic Points
End of the Sydney session
12:00 am
---------------
Conclusions
The best time to trade is during overlaps in trading times between open markets. Overlaps equate to higher price ranges, creating greater opportunities.
Regarding press releases (news), it should be noted that these in the currency markets have the power to improve a normally slow trading period. When a major announcement is made regarding economic data, especially when it goes against the predicted forecast, the coin can lose or gain value in a matter of seconds. In general, the more economic growth a country produces, the more positive the economy is for international investors. Investment capital tends to flow to countries that are believed to have good growth prospects and subsequently good investment opportunities, leading to the strengthening of the country's exchange rate. Also, a country that has higher interest rates through its government bonds tends to attract investment capital as foreign investors seek high-yield opportunities. However, stable economic growth and attractive yields or interest rates are inextricably intertwined. It's important to take advantage of market overlaps and keep an eye out for press releases when setting up a trading schedule.
References:
www.investopedia.com
www.investopedia.com
www.investopedia.com
www.investopedia.com
market24hclock.com
market24hclock.com
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!
SuperTrendRange by DGTSuperTrendRange study attempts to determine the state of the market
• whether a well-established bull/bear trend is present
• whether the market is trading in a range
SuperTrendRange (STR) takes into account the volatility of the market - further details regarding volatility can be found in the description of “Volatility Bands by DGT” study
Due to its similarities to SupertTrend (ST) and Parabolic SAR (SAR), I will try to explain by stating differences between them
SuperTrendRange uses both the ATR (Average True Range) and STDEV (Standard Deviation) as part of its calculations - unlike ST and SAR where they use only ATR
Sensitivity of the indicator is adjusted using the multiplier setting of both ATR and STDEV
Additionally, unlike ST, the source of the basis of SuperTrendRange can be selected among the assets price value or its moving average
Source and Length are adjustable too
The SuperTrendRange, like Parabolic SAR indicator, appears on a chart as a series of dots, either above, below or unlike Parabolic SAR both above and below of the asset's price
A dot placed
- below the price when the market is trending upward
- above the price when it is trending downward
- both above and below when the price starts moving sideways – this is a feature that both SuperTrend and Parabolic SAR misses, where they are known to produce false signals and losing trades, whereas SuperTrendRange emphasis the zones of the ranges occurring and in most cases are considered no trade recommended zones. Please note that the range width may vary depending on how the market is volatile. It is up to the users to trade if it fits their trading strategies
Dots plotted above and below can be assumed as Support and Resistance levels
Example usages – with trading opportunities
Gold Monthly Chart
Bitcoin Daily Chart
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
Logistic EMA w/ Signals by DGTLogistic Map Equation - The logistic map connects fluid convection, neuron firing, the Mandelbrot set and so much more.
This study is an attempt to apply Logistic Map Equation in Trading
Logistic Map Equation
Xn+1 = r * Xn * (1 - Xn)
Where,
r - growth rate
Xn - percentage of theoretical maximum of measured event (from 0 to 1)
(1 - Xn) - represents constraints of the environment, presents the idea of negative feedback
For trading the measured event will be the price of the instrument (price is commonly reffered as source in mathematicall forumlations),
hence
r - growth rate can be expressed as => change(source, length) / source, expressing r in such manner mades the equation dynamic with regards to the growth rate
Xn - percentage of theoretical maximum of the price for given duration can be expressed as => source / highest(length)
Putting pieces together we are ready to plot
Printed alone does not seem to provide much useful visualization for trading, in fact not easy to interpret especially when the market is an uptrend
What it has numerically,
Provides a ratio, where sudden changes are much more reflected thanks to negative feedback nature of the logistic equation.
As we know moving average indicators are lagging and the logistic map may fit here to reduce the lag
With this study you will find application of Logistic Map Equation with combination of Exponential Moving Average (EMA)
Logistic EMA (LEMA) and LEMA COLORS
one line with user defined periods of length, where the colors of the line will change automatically depending where the value is compared to 50-100-200 moving average
Multiple LEMAs : optional – three fixed lenght of 50-100-200 period lines
LEMA Signals
Various signals are added by using LEMA and applying some common market approaches. Use with caution and with conjunction of other indicators
Thanks to @allanster for the idea
A fascinating YouTube video explaining the logistic map - “This equation will change how you see the world (the logistic map)”
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
Volatility Bands by DGTVolatility represents how large an asset's prices swing around the mean price, the degree of variation of a trading price over time, and is commonly measured with beta (β) coefficients, standard deviations (σ) of returns where tools such as Average True Range, Bollinger Bands, Keltner Channel, Squeeze Indicator, etc presents volatility concept
Volatility often refers to the amount of uncertainty or risk related to the size of changes in a security's value. The higher the volatility, the riskier the security - the price of the security can change dramatically over a short time period in either direction. A lower volatility - security's value does not fluctuate dramatically, and tends to be more steady
This study, Volatility Bands , attempts to present a way to measure and visualize volatility , using standard deviations (σ) and average true range indicator, and aims to point out areas that might indicate potential trading opportunities
I will try to explain the usage with examples,
same setup with different option selected
as you may observe from the examples different setting may have advantages and disadvantages over one another, it is recommended to verify a trading setup with different available options.
Additionally, It is recommended to use this indicator in conjunction with other technical indicators, or verify using chart/candle patterns. Below is an usage example using in conjunction with other indicator, in the given example “Neglected Volume by DGT” is selected
Similarities and Differences
Bollinger Bands depicts two standard deviations above and below a simple moving average, and Keltner Channel depicts two times average true range (ATR) above and below an exponential moving average
Volatility Bands study combines the approach of both Bollinger Bands and Keltner Channel, with different settings and different visualization
Default settings are one standard deviations and one time average true range (ATR) above and below 13 period exponential moving average. Setting can be adjusted by users but let me remind all testes are performed with the default settings.
Mathematically expressed as
Upper band area between “ema + stdev” and “ema + atr”
Lower band area between “ema – stdev” and “ema – atr”
A different display is added with the inspiration I get from one of the @quantgym ‘s study, many thanks @quantgym 😉
When difference band display is selected the study will reflect the area between “ema + stdev – atr” and “ema – stdev + atr”. As shown in the examples above
Note: standard deviation calculation can be adjusted based on price action or its moving average.
Other differentiation between BB and KC is with V-BANDS mostly we look for trade opportunities when price action move out of the bands and in most cases we assume market is consolidating when the price action is within the bands
The other indicator that presents similarities to Volatility Bands is Squeeze Indicator, which measures the relationship between Bollinger Bands and Keltner's Channels to help identify consolidations and signal when prices are likely to break out. Mainly Volatility Bands is different version of Squeeze indicator, in fact the purpose is almost same but visualization is completely different. Additionally Volatility Bands Offers trading opportunities whereas Squeeze indicator only presents market states unless a momentum indicator is adapted to Squeeze indicator.
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
Slippage Calculator Hello everyone,
This is the first script I publish, also my English is not the best my apologies.
This simple study script is an attempt to estimate the slippage during a trade. By no means it is a precise calculation, it is just an approach that can be improved.
You are welcome to take this simple script and use it and change it at your convenience just ask your acknowledge.
My approach considers the total fluctuation the price gets as a consequence for the total volume on that specific bar.
The volume on each bar is given in BTC, thus you get that by using the formula.
vol = volume * vwap
The total variation in price is considered as twice the size of the bar plus the gap between to consecutive bars. that is the
total fluctuation of price on each bar = (2 * (high - low) + abs(open - close )) which is not totally true since inside each bar price can fluctuate a lot more.
The script considers you are trading your total equity (eq_BTC ) each time. The fraction of your equity of the volume bar is eq_BTC / vol
Then eq_BTC / vol is the portion or the total fluctuation in price that is due to your entry or exit from the market.
(2 * (high - low) + abs(open - close )) * eq_BTC / vol
is the average change in price due you enter o exit a position.
** the 2 factor accounts for the two directions in the market buying and selling. There is more behind this formula I can explain you in more detail if you like.
I haven't seen anywhere a formula like this one, so it is intended to be a first attempt to get a better approach.
Finally the output of the scripts is how many ticks the price might change due to your trade on each bar
round(slippage/syminfo.mintick)
The script is focused in crypto but it can be used as well on forex markets.
Take care,
@yvponce
Stoch X, an Indicator of Indicators by DGTStochastic refers to a randomly determined process and financial markets use stochastic models to represent the seemingly random behaviour of assets and then used by quantitative analysts to value options on asset prices
The stochastic oscillator, developed by George Lane, presents the location of the closing price of a stock in relation to the high and low range of the price of a stock over a period of time. Lane has said that the stochastic oscillator does not follow price or volume or anything similar. He indicates that the oscillator follows the speed or momentum of price.
Traditionally, readings over 80 are considered in the overbought range, and readings under 20 are considered oversold. Please note that, very strong trends can maintain overbought or oversold conditions for an extended period and traders should look to changes in the stochastic oscillator for clues about future trend shifts. It is advised to check the higher timeframe of your trading timeframe and see where you are in the “big picture”
Signal crosses , intersection of stochastic and its signal line is considered to be a signal that a reversal may be in the works
Divergence between the stochastic oscillator and trending price action is also seen as an important reversal signal
Lane also reveals in interviews that, as a rule, the momentum or speed of the price of a stock changes before the price changes itself . In this way, the stochastic oscillator can be used to foreshadow reversals when the indicator reveals bullish or bearish divergences. This signal is the first, and arguably the most important, trading signal Lane identified.
What is Stochastic X ?
Stochastic X , is essentially an indicator of an indicator, providing stochastic calculation to some of well known indicators, such as RSI, MFI, OBV, etc. This means that it is a measure of selected specific indicator relative to its own high/low range over a user defined period of time.
Features of Stoch X
1- Displays Stoch of and indicator plus a companion indicator (companion display can be disabled from user dialog box)
Available options
Stoch Source plus PM A, where Source is close price and PMA refers to Price Distance to its Moving Average (for further details you may check my study of Price Distance to its MA by DGT, and different application of distance concept available with “MACD-X, More Than MACD" And “P-MACD”)
Stoch RSI plus RSI , Stoch RSI, developed by Tushar Chande and Stanley Kroll, is a build-in indicator available on Trading View, where Stoch X adds RSI as a companion indicator to Stoch RSI
Stoch MFI and MFI , where MFI is Money Flow Index, measures buying and selling pressure through analyzing both price and volume
Stoch OBV + VO , Where OBV is On Balance Volume, is a momentum indicator that measures positive and negative volume flow. VO stands for Volume Oscillator which aims to confirm a market turnaround or trend reversal
Stoch EWO + EWO , EWO stands for Elliott Wave Oscillator
By default the threshold levels are indicated and are displayed differently for the regular Stoch or Stoch RSI. Overbought band (70-80), oversold band (20-30) and middle line (0) are emphasized
Warning : Centered Oscillators base line is moved from 0 to 50 to better suit with Stoch X, which is applied to PMA, VO and EWO
2- Can be plotted along with Stoch in the same window using the same scaling
To avoid misinterpreting the area between Stoch X and its Signal Line is highlighted automatically in case Stoch is selected to be plotted
3- Squeeze Indicator added as Add-on in the bottom of the Stoch X
During volatile market conditions the stochastic oscillator has been known to produce false signals. One way to help with this is to take the price trend as a filter, or basic chart pattern analysis can help to identify major, underlying trends and increase the Stoch X's accuracy.
This study implements Squeeze Indicator to help and add additional insight for filtering false signals. Blue diamond shapes indicates the squeeze release, that is volatility increased and according to momentum direction the buy/sell possibility can be considered. Orange ones displays consolidation periods, that is low volatility and the market is assumed to be in squeeze and no trade is recommended. in this phase.
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 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
Relative Strength of Volume Indicators by DGTThe Relative Strength Index (RSI) , developed by J. Welles Wilder, is a momentum oscillator that measures the speed and change of price movements.
• Traditionally the RSI is considered overbought when above 70 and may be primed for a trend reversal or corrective pullback in price, and oversold or undervalued condition when below 30. During strong trends, the RSI may remain in overbought or oversold for extended periods.
• Signals can be generated by looking for divergences and failure swings. If underlying prices make a new high or low that isn't confirmed by the RSI, this divergence can signal a price reversal. If the RSI makes a lower high and then follows with a downside move below a previous low, a Top Swing Failure has occurred. If the RSI makes a higher low and then follows with an upside move above a previous high, a Bottom Swing Failure has occurred
• RSI can also be used to identify the general trend. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range with the 40-50 zone acting as support. During a downtrend or bear market the RSI tends to stay between the 10 to 60 range with the 50-60 zone acting as resistance
This study aim to implement Relative Strength concept on most common Volume indicators, such as
• Accumulation Distribution is a volume based indicator designed to measure underlying supply and demand
• Elder's Force Index (EFI) measures the power behind a price movement using price and volume
• Money Flow Index (MFI) measures buying and selling pressure through analyzing both price and volume (used as it is)
• On Balance Volume (OBV) , created by Joe Granville, is a momentum indicator that measures positive and negative volume flow
• Price Volume Trend (PVT) is a momentum based indicator used to measure money flow
Plotting will be performed for regular RSI and RSI of Volume indicator (RSI(VOLX)) selected from the dialog box, where the possibility to apply smoothing is provided as option. Additionally, labels can be added optionally to display the value and name of selected volume indicator
Secondly, ability to present Volume Histogram within the same study along with its Moving Average or Volume Oscillator based on selection
Finally, Volume Based Colored Bars , a study of Kıvanç Özbilgiç is added to emphasis volume changes on top of the bars
Nothing excessively new, the study combines RSI with;
- RSI concept applied to some of the common Volume indicators presented with a highlighted over/under valued threshold area, optional labeling and smoothing,
- added Volume data with additional information and
- colored bars based on volume
Thanks @Vishant_Meshram for the inspiration 🙏
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
Earthquake Effect by DGTInstitutional investors have a profound impact on financial instruments prices because of the large volume, and their trading activities can greatly impact the price of financial instruments. They sometimes may split trades over time in order to not make a material impact and of course not to decrease liquidity to the point where there may be no one to take the other side of the trade.
Institutional investors (Smart Money) may create an Elephant Effect on the prices of financial instruments, and this study aims to display by emphasizing high volume changes
In the memory of the North Anatolian Earthquake that struck on August 17, 1999, that we remember with pain today, and similarities of plotting outcomes to seismograph plotting I preferred to name this study as Earthquake Effect (SEISMOGRAPH)
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
Bull vs Bear Power by DGTElder-Ray Bear and Bull Power
Dr. Alexander Elder cleverly named his first indicator Elder-Ray because of its function, which is designed to see through the market like an X-ray machine. Developed in 1989, the Elder-Ray indicator can be applied to the chart of any security and helps traders determine the strength of competing groups of bulls and bears by gazing under the surface of the markets for data that may not immediately be ascertainable from a superficial glance at prices
The Elder-Ray indicator is comprised by three elements – Bear Power, Bull Power and a 13-period Exponential Moving Average.
As the high price of any candle shows the maximum power of buyers and the low price of any candle shows the maximum power of sellers, Elder uses the 13-period EMA in order to present the average consensus of price value. Bull power shows whether buyers are capable of pushing prices above the average consensus of value. Bear power shows whether sellers are capable of pushing prices below the average consensus of value. Mathematically, Bull power is the result of subtracting the 13-period EMA from the high price of the day, and Bear power is the result of subtracting the 13-period EMA from the low price of the day.
What does this study implements
Attempts to customize interpretation of Alexander Elder's Elder-Ray Indicator (Bull and Bear Power) by
• adding additional insights to support/confirm Elder’s strategy with different indicators related with the Elder’s concept
• providing different options of visualization of the indicator
• providing smoothing capability
Other Indicators to support/confirm Elder-Ray Indicator:
Colored Directional Movement Index (CDMI) , a custom interpretation of J. Welles Wilder’s Directional Movement Index (DMI) , where :
DMI is a collection of three separate indicators ( ADX , +DI , -DI ) combined into one and measures the trend’s strength as well as its direction
CDMI is a custom interpretation of DMI which presents ( ADX , +DI , -DI ) with a color scale - representing the trend’s strength, color density - representing momentum/slope of the trend’s strength, and triangle up/down shapes - representing the trend’s direction. CDMI provides all the information in a single line with colored triangle shapes plotted on the top. DMI can provide quality information and even trading signals but it is not an easy indicator to master, whereus CDMI simplifies its usage.
Alexander Elder considers the slope of the EMA, which gives insight into the recent trend whether is up or down, and CDMI adds additional insight of verifying/confirming the trend as well as its strength
Note : educational content of how to read CDMI can be found in ideas section named as “Colored Directional Movement Index”
different usages of CDMI can be observed with studies “Candlestick Patterns in Context by DGT", “Ichimoku Colored SuperTrend + Colored DMI by DGT”, “Colored Directional Movement and Bollinger Band's Cloud by DGT”, and “Technical Analyst by DGT”
Price Convergence/Divergence , if we pay attention to mathematical formulations of bull power, bear power and price convergence/divergence (also can be expressed as price distance to its ma) we would clearly observe that price convergence/divergence is in fact the result of how the market performed based on the fact that we assume 13-period EMA is consensus of price value. Then, we may assume that the price convergence/divergence crosses of bull power, or bear power, or sum of bull and bear power could be considered as potential trading signals
Additionally, price convergence/divergence visualizes the belief that prices high above the moving average or low below it are likely to be remedied in the future by a reverse price movement
Alternatively, Least Squares Moving Average of Price Convergence/Divergence (also known as Linear Regression Curve) can be plotted instead of Price Convergence/Divergence which can be considered as a smoothed version of Price Convergence/Divergence
Note : different usages of Price Convergence/Divergence can be observed with studies “Trading Psychology - Fear & Greed Index by DGT”, “Price Distance to its MA by DGT”, “P-MACD by DGT”, where “Price Distance to its MA by DGT” can also be considered as educational content which includes an article of a research carried on the topic
Options of Visualization
Bull and Bear Power plotted as two separate
• histograms
• lines
• bands
Sum of Bull and Bear Power plotted as single
• histogram
• line
• band
Others
Price Convergence/Divergence displayed as Line
CDMI is displayed as single colored line of triangle shapes, where triangle shapes displays direction of the trend (triangle up represents bull and triangle down represent bear), colors of CDMI displays the strength of the trend (green – strong bullish, red – strong bearish, gray – no trend, yellow – week trend)
In general with this study, color densities also have a meaning and aims to displays if the value of the indicator is falling or growing, darker colors displays more intense move comparing to light one
Note : band's upper and lower levels are calculated by using standard deviation build-in function with multiply factor of 0.236 Fibonacci’s ratio (just a number for our case, no any meaning)
Smoothing
No smoothing is applied by default but the capability is added in case Price Convergence/Divergence Line is assumed to be used as a signal line it will be worth smoothing the bear, bull or sum of bear and bull power indicators
Interpreting Elder-Ray Indicator, according to Dr. Alexander Elder
Bull Power should remain positive in normal circumstances, while Bear Power should remain negative in normal circumstances. In case the Bull Power indicator enters into negative territory, this implies that sellers have overcome buyers and control the market. In case the Bear Power indicator enters into positive territory, this indicates that buyers have overcome sellers and control the market. A trader should not go long at times when the Bear Power indicator is positive and he/she should not go short at times when the Bull Power indicator is negative.
13-period EMAs slope can be used in order to identify the direction of the major trend. According to Elder, the most reliable buy signals are generated, when there is a bullish divergence between the Bear Power indicator and the price (Bear Power forms higher lows, while the market forms lower lows). The most reliable sell signals are generated, when there is a bearish divergence between the Bull Power indicator and the price (Bull Power forms lower highs, while the market forms higher highs).
There are four basic conditions, required to go long or short, with the use of the Elder-Ray method alone.
In order to go long:
1. The market is in a bull trend, as indicated by the 13-period EMA
2. Bear Power is in negative territory, but increasing
3. The most recent Bull Power top is higher than its prior top
4. Bear Power is going up from a bullish divergence
The last two conditions are optional that fine-tune the buying decision
In order to go short:
1. The market is in a bear trend, as indicated by the 13-period EMA
2. Bull Power is in positive territory, but falling
3. The most recent Bear Power bottom is lower than its prior bottom
4. Bull Power is falling from a bearish divergence
The last two conditions are optional, they provide a stronger signal for shorting but they are not absolutely essential
If a trader is willing to add to his/her position, he/she needs to:
1. add to his/her long position, when the Bear Power falls below zero and then climbs back into positive territory
2. add to his/her short position, when the Bull Power increases above zero and then drops back into negative territory.
note : terminology of the definitions used herein are as per TV dictionary
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 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
Trading Psychology - Fear & Greed Index by DGTPsychology of a Market Cycle - Where are we in the cycle?
Before proceeding with the question "where", let's first have a quick look at "What is market psychology?"
Market psychology is the idea that the movements of a market reflect the emotional state of its participants. It is one of the main topics of behavioral economics - an interdisciplinary field that investigates the various factors that precede economic decisions. Many believe that emotions are the main driving force behind the shifts of financial markets and that the overall fluctuating investor sentiment is what creates the so-called psychological market cycles - which is also dynamic.
Stages of Investor Emotions:
* Optimism – A positive outlook encourages us about the future, leading us to buy stocks.
* Excitement – Having seen some of our initial ideas work, we begin considering what our market success could allow us to accomplish.
* Thrill – At this point we investors cannot believe our success and begin to comment on how smart we are.
* Euphoria – This marks the point of maximum financial risk. Having seen every decision result in quick, easy profits, we begin to ignore risk and expect every trade to become profitable.
* Anxiety – For the first time the market moves against us. Having never stared at unrealized losses, we tell ourselves we are long-term investors and that all our ideas will eventually work.
* Denial – When markets have not rebounded, yet we do not know how to respond, we begin denying either that we made poor choices or that things will not improve shortly.
* Fear – The market realities become confusing. We believe the stocks we own will never move in our favor.
* Desperation – Not knowing how to act, we grasp at any idea that will allow us to get back to breakeven.
* Panic – Having exhausted all ideas, we are at a loss for what to do next.
* Capitulation – Deciding our portfolio will never increase again, we sell all our stocks to avoid any future losses.
* Despondency – After exiting the markets we do not want to buy stocks ever again. This often marks the moment of greatest financial opportunity.
* Depression – Not knowing how we could be so foolish, we are left trying to understand our actions.
* Hope – Eventually we return to the realization that markets move in cycles, and we begin looking for our next opportunity.
* Relief – Having bought a stock that turned profitable, we renew our faith that there is a future in investing.
It's hard to predict with certainty where we exactly are in the market cycle, we can only make an educated guess as to the rough stage based on data available. And here comes the study "Trading Psychology - Fear & Greed Index"
Factors taken into account in this study include:
1-Price Momentum : Price Divergence/Convergence versus its Slow Moving Average
2-Strenght : Rate of Return (RoR) also called Return on Investment (ROI) is a performance measure used to evaluate the efficiency of an investment, net gain or loss of an investment over a specified time period, the rate of change in price movement over a period of time to help investors determine the strength
3-Money Flow : Chaikin Money Flow (CMF) is a technical analysis indicator used to measure Money Flow Volume over a set period of time. CMF can be used as a way to further quantify changes in buying and selling pressure and can help to anticipate future changes and therefore trading opportunities. CMF calculations is based on Accumulation/Distribution
4-Market Volatility : CBOE Volatility Index (VIX), the Volatility Index, or VIX, is a real-time market index that represents the market's expectation of 30-day forward-looking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors' sentiments. It is also known by other names like "Fear Gauge" or "Fear Index." Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions
5-Safe Haven Demand : in this study GOLD demand is assumed
What to look for :
*Fear and Greed Index as explained above,
*Divergencies
Tool tip of the label displayed provides details of references
Conclusion:
As investors, we always get caught up in the day to day price movements, and lose sight of the bigger picture. The biggest crashes happen not when investors are cautious and fearful, it's when they're euphoric and expecting financial instruments to continue going higher. So as we continue investing, don’t forget to stop and ask yourself, where in the chart do you think we are right now? The Market Psychology Cycle shines light on how emotions evolve, fear and greed index can come in handy, provided that it is not the only tool used to make investment decisions. It is easy to look back at market cycles and recognize how the overall psychology changed. Analyzing previous data makes it obvious what actions and decisions would have been the most profitable. However, it is much harder to understand how the market is changing as it goes - and even harder to predict what comes next. Many investors use technical analysis (TA) to attempt to anticipate where the market is likely to go. Investors are advised to keep tabs on fear for potential buying the dips opportunities and view periods of greed as a potential indicator that financial instruments might be overvalued.
Warren Buffett's quote, buy when others are fearful, and sell when others are greedy
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 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
Momentum adjusted Moving Average by DGTA brand new Moving Average , calculated using Momentum, Acceleration and Probability (Psychological Effect).
Momentum adjusted Moving Average(MaMA) is an indicator that measures Price Action by taking into consideration not only Price movements but also its Momentum, Acceleration and Probability. MaMA, provides faster responses comparing to the regular Moving Average
Here is the math of the MaMA idea
Momentum measures change in price over a specified time period
momentum = source – source(length)
where,
source, indicates current bar’s price value
source(length), indicates historical price value of length bars earlier
Lets play with this formula and rewrite it by moving source(length) to other side of the equation
source = source(length) + momentum
to avoid confusion let’s call the source that we aim to predict as adjustedSource
adjustedSource = source(length) + momentum
looks nice the next value of source simply can be calculated by summing of historical value of the source value and value of the momentum. I wish it was so easy, the formula holds true only when the momentum is conserved/constant/steady but momentum move up or down with the price fluctuations (accelerating or decelerating)
Let’s add acceleration effects on our formula, where acceleration is change in momentum for a given length. Then the formula will become as (skipped proof part of acceleration effects, you may google for further details)
adjustedSource = source(length) + momentum + 1/2 * acceleration
here again the formula holds true when the acceleration is constant and once again it is not the case for trading, acceleration also changes with the price fluctuations
Then, how we can benefit from all of this, it has value yet requires additional approaches for better outcome
Let’s simulate behaviour with some predictive approach such as using probability (also known as psychological effect ), where probability is a measure for calculating the chances or the possibilities of the occurrence of a random event. As stated earlier above momentum and acceleration are changing with the price fluctuations, by using the probability approach we can add a predictive skill to determine the likelihood of momentum and acceleration changes (remember it is a predictive approach). With this approach, our equations can be expresses as follows
adjustedSource = source(length) + momentum * probability
adjustedSource = source(length) + ( momentum + 1/2 * acceleration ) * probability , with acceleration effect
Finally, we plot MaMA with the new predicted source adjustedSource, applying acceleration effect is made settable by the used from the dialog box, default value is true.
What to look for:
• Trend Identification
• Support and Resistance
• Price Crossovers
Recommended settings are applied as default settings, if you wish to change the length of the MaMA then you should also adjust length of Momentum (and/or Probability). For example for faster moving average such as 21 period it would be suggested to set momentum length to 13
Alternative usage , set moving average length to 1 and keep rest lengths with default values, it will produce a predictive price line based on momentum and probability. Experience acceleration factor by enabling and disabling it
Conclusion
MaMA provide an added level of confidence to a trading strategy and yet it is important to always be aware that it implements a predictive approach in a chaotic market use with caution just like with any indicator
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
Technical Analyst by DGTWho needs a Technical Analyst?
yes I can hear someone is asking for, and here is one that can help you with technical analysis
The analyst will present a technical anlaysis report at a glance calculated by the most popular technical indicators , and the good part, the anlayst will do it voluntarily
technical skills of the analyst:
- experienced an all markets
- ability to interpret moving averages
- ability to interpret volume changes
- ability to interpret trend folowing indicators such as:
* directional movement index (dmi), identify trend strength and trend direction
* complex ichimoku cloud , identify trend stregth, and tk crosses
- ability to interpret oscillators such as:
* relative strength index, identify oversold overbought levels, identify the rsi flow
* commodity channel index, identify oversold overbought levels
* awesome identify if grawing or falling
* macd if bullish or bearish, and macd histogram if grawing or falling
- ability to calculate probability and its trend
- non-stop hardworker,
- available 7/24,
- highly dedicated always on duty,
- open for new ideas and willing to learn
- upon request the analyst will create reports with custom settings of your choise
the analyst is not a decition maker, trading success is all about following your trading strategy and the analyst aims to help with the presented reports calculated by the most popular technical indicators
the analyst supports 9 of the popular technical indicators and is willing to learn more , please share your comments and feedbacks and help the analyst improve skills
cheers!
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
Momentum Acceleration by DGTItalian physicist Galileo Galilei is usually credited with being the first to measure speed by considering the distance covered and the time it takes. Galileo defined speed as the distance covered during a period of time. In equation form, that is v = Δd / Δt where v is speed, Δd is change in distance, and Δt is change in time. The Greek symbol for delta, a triangle (Δ), means change.
Is the speed getting faster or slower?
Acceleration will be the answer, acceleration is defined as the rate of change of speed over a set period of time, meaning something is getting faster or slower. Mathematically expressed, acceleration denoted as a is a = Δv / Δt , where Δv is the change in speed and Δt is the change in time.
How to apply in trading
Lets think about Momentum, Rate of Return, Rate of Change all are calculated in almost same approach with Speed
Momentum measures change in price over a specified time period,
Rate of Change measures percent change in price over a specified time period,
Rate of Return measures the net gain or loss over a specified time period,
And Speed measures change in distance over a specified time period
So we may state that measuring the change in distance is also measuring the change in price over a specified time period which is length, hence
speed can be calculated as (source – source )/length and acceleration becomes (speed – speed )/length
In this study acceleration is used as signal line and result plotted as arrows demonstrating bull or bear direction where direction changes can be considered as trading setups
Just a little fun, since we deal with speed the short name of the study is named after famous cartoon character Speedy Gonzales
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
Elliott Wave Oscillator Signals by DGTElliott Wave Principle , developed by Ralph Nelson Elliott, proposes that the seemingly chaotic behaviour of the different financial markets isn’t actually chaotic. In fact the markets moves in predictable, repetitive cycles or waves and can be measured and forecast using Fibonacci numbers. These waves are a result of influence on investors from outside sources primarily the current psychology of the masses at that given time. Elliott wave predicts that the prices of the a traded currency pair will evolve in waves: five impulsive waves and three corrective waves. Impulsive waves give the main direction of the market expansion and the corrective waves are in the opposite direction (corrective wave occurrences and combination corrective wave occurrences are much higher comparing to impulsive waves)
The Elliott Wave Oscillator (EWO) helps identifying where you are in the 5-3 Elliott Waves, mainly the highest/lowest values of the oscillator might indicate a potential bullish/bearish Wave 3. Mathematically expressed, EWO is the difference between a 5-period and 35-period moving average based on the close. In this study instead 35-period, Fibonacci number 34 is implemented for the slow moving average and formula becomes ewo = ema(source, 5) - ema(source, 34)
The application of the Elliott Wave theory in real time trading gets difficult because the charts look messy. This study (EWO-S) simplifies the visualization of EWO and plots labels on probable reversals/corrections. The good part is that all plotting’s are performed on the top of the price chart including a histogram (optional and supported on higher timeframes). Additionally optional Keltner Channels Cloud added to help confirming the price actions.
What to look for:
Plotted labels can be used to follow the Elliott Wave occurrences and most importantly they can be considered as signals for possible trade setup opportunities. Elliott Wave Rules and Fibonacci Retracement/Extensions are suggested to confirm the patters provided by the EWO-S
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
P-MACD by DGTPrice and Moving Averages Convergence/Divergence, shortly named as P-MACD
P-MACD is a trend-following momentum indicator that shows the relationship between Price and Long-term Moving Average (PMACD), and the relationship between two Moving Averages (MAMACD). P-MACD is composed of two lines, and an histogram, showing price distance (convergence/divergence) to its Long-term MA (PMACD), showing short-term MA distance (convergence/divergence) to long-term MA (MAMACD), and a histogram showing the difference (momentum) between the PMACD and MAMACD
The PMACD is calculated by dividing the Price to Long-term Moving Average (200-period SMA/EMA) and finally smoothed with 9-period SMA/EMA
- PMACD Line Formula : (Price / SlowMovingAverage -1) * 100 and smoothed with 9-period SMA/EMA
The MAMACD is calculated by dividing the Short-term Moving Average (such as 20 SMA/EMA) to the Long-term Moving Average (such as 200-period SMA/EMA)
- MAMACD Line Formula : (FastMovingAverage / SlowMovingAverage -1) * 100
The Histogram is calculated by subscripting PMACD and MAMACD
- Formula : PMACD - MAMACD
Optional
Trend Cloud calculated based on fast and slow version of MAMACD
What to look for:
- Line Crosses : PMACD Line can function as a trigger(signal) for buy and sell signals. Buy when the PMACD crosses above the MAMACD line and sell - or short - when the PMACD crosses below the MAMACD line
- Base Crosses : PMACD and/or MAMACD crosses above or below Baseline is another way to indicate the trend and momentum. MAMACD crosses of Baseline, MAMACD positive or negative, reflects short-term moving average crosses the long-term moving average and similarly, PMACD crosses of BaseLine, PMACD positive or negative, reflects price crosses a long-term moving average
- Momentum : P-MACD helps investors understand whether the bullish or bearish movement in the price is strengthening or weakening displayed with a histogram which graphs the distance between the PMACD and MAMACD. Additionally, upward momentum is confirmed with a bullish crossover, which occurs when PMACD and/or MAMACD crosses above Baseline. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when PMACD and/or MAMACD crosses below Baseline
- Distance : Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement. The more distant the PMACD is above or below its baseline indicates that the distance between the Price and its SMA is growing (regarding PMACD, You may find a detailed article explained in “Price Distance to its MA” indicator by DGT) . Similarly the more distant the MAMACD is above or below its baseline indicates that the distance between the two SMAs is growing
- Trend : A rising P-MACD indicates an uptrend, while a declining P-MACD indicates a downtrend
MACD vs. P-MACD
MACD measures the relationship between two MAs, while the P-MACD measures both the relationship between price and its MA, and the relationship between two MAs. MAMACD Line of P-MACD If set to same moving average type and same lengths as in MACD will produce the same line as MACD line, only values are represented as percentage with MAMACD. Both measure momentum in a market, but, because they measure different factors, they differentiate from each other even if they have similarities in presentation. P-MACD provides additional insights, not only to MA relation but also to Price and MA relation
Warning : Moving Average are calculated based on past prices, so they are lagging. The longer the time period for the moving average, the greater the lag as well as less sensitive to price changes. This study implements usage of 200-period long-term moving average, which implies that the P-MACD will provide insight especially for long-term trades, more suited for long-term trades, usage of P-MACD for short-term trades is recommend with lower timeframes (1H or lower).
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
HTF Candlestick Patterns [TradingView] vX by DGTCandlesticks are graphical representations of price movements for a given period of time. They are commonly formed by the opening, high, low, and closing prices of a financial instrument. They have their origins in the centuries-old Japanese rice trade and have made their way into modern day price charting.
It’s important to note that candlestick patterns aren’t necessarily a buy or sell signal by themselves. They are instead a way to look at market structure and a potential indication of an upcoming opportunity. It is always useful to look at candlestick patterns in context like any other market analysis tool and candlestick patterns are most useful when used in combination with other techniques. There are countless candlestick patterns that traders can use to identify areas of interest on a chart, where some candlestick patterns may provide insights into the balance between buyers and sellers, others may indicate a reversal, continuation, or indecision.
Reversal patterns are quite useful when used in context. Reversal patterns should form at the bottom of a downtrend or at the top of an uptrend. Otherwise, they are not a reversal patterns, but continuation patterns. Most reversal patterns require confirmation such as price move in the direction of reversal accompanied by appropriate trading volume. The reversal patterns can further be confirmed through other means of traditional technical analysis—like trend lines, momentum, oscillators, or volume indicators—to reaffirm buying or selling pressure. The patterns themselves do not guarantee that the trend will reverse. Investors should always confirm reversal by the subsequent price action before initiating a trade.
This study implements some of the most commonly used candlestick patterns in a context with directional movement indicator. On request users can adjust the strong trend threshold from dialog box, eighter can disabled correlation with directional movement indicator. To add additional sight to analysis the simple moving averages of 20, 50, 100 and 200 periods are added (configurable)
You may add additional indicators of your choice. Colored DMI, BB Cloud or Price Distance to its MAs may help
Enjoy it!
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
Dual SuperTrend, Ichimoku and DMI Color Weighted by DGTThis study interprets SuperTrend with Ichimoku Cloud, one of the popular technical analysis indicator, and interprets Directional Movement (DMI), which is another quite valuable technical analysis indicator.
Then combines the interpreted SuperTrend with interpreted Directional Movement (DMI) and Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ (permission has been granted from the author)
Here are details of the concept applied
1- SuperTrend Line colored based on Ichimoku Cloud
Definition
The Ichimoku Cloud, developed by Goichi Hosoda and published in the late 1960s, is a collection of technical indicators that give it a unique capacity to show support and resistance levels, momentum and trend direction
What Does the Ichimoku Cloud Tells?
The overall trend is up when price is above the cloud, known as Kumo Cloud, down when price is below the Kumo Cloud, and trendless or transitioning when price is in the Kumo Cloud
When Senkou Span A (Leading Span A) is rising and above Senkou Span B (Leading Span B), this helps confirm the uptrend and space between the lines is typically colored green. When Senkou Span A is falling and below Senkou Span B, this helps confirm the downtrend. The space between the lines is typically colored red
Traders often use the Kumo Cloud as an area of support and resistance depending on the relative location of the price. The Kumo Cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time
Crossovers, also known as TK Cross among Ichimoku Cloud traders, are another way the indicator can be used. Watch for the Tenkan-Sen Line, or Conversion Line, to move above the Kijun-Sen Line, or Base Line, especially when price is above the Kumo cloud. This can be a powerful buy signal. One option is to hold the trade until the Tenkan-Sen drops back below the Kijun-Sen Line. Any of the other lines could be used as exit points as well.
With this study:
Allow Traders to use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns
The Ichimoku Cloud can make a chart look busy with all the lines. To Remedy this a different approach is applied in this study showing the Price and the Kumo Cloud relation as well as TK Crosses displayed. The SuperTrend Indicator is chosen to display Ichimoku Indicator, where the SuperTrend is another trend following indicator.
How it works:
SuperTrend Line is colored as:
Green when the Price is above the Kumo Cloud
Red when the Price is below the Kumo Cloud
Black when the Price is within the Kumo Cloud
And Finally Blue when the Kumo Cloud Is not ready to be drawn or not Kumo Cloud available
Additionally intensity of the colors used in all cases above are defined by values of Tenkan-Sen and Kijun-Sen Line, which allows us to detect TK Crosses
2- Plots Colored Directional Movement Line
Definition
Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction.
This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes.
What to look for
Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend
Crosses : DI Crossovers are the significant trading signal generated by the DMI
With this study
A Strong Trend is assumed when ADX >= 25
Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart
Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart
Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart
Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart
Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value
3- Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ
Volume Based Colored Bars colors the bars into volume weighted signals increasing the visibility of the Volume changes. Intensity of the colors of the bars varies according to average value of the volume for given length of bars (default value set to 30 bars)
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