1 Indicator to rule them allThe best combination indicator consisting of 4 SMA's, 4 EMA's, Donchian Channels, Parabolic SAR, Bollinger Bands, Ichimoku Cloud, a trend strength highlight for the bollinger bands background according to the ADX, labels on the chart to draw in when the Directional Index plus and minus cross, and a background highlight for low and high volatility according to the Historical Volatility Percentile.
The Indicators and placed and group intentionally, with the SMA and EMA's next to the Donchian Channels to draw in areas of support and resistance, with the parabolic SAR afterwards for confirmation on entries and exits.
Next are the Bollinger Bands and the Ichimoku cloud, which when used in combination by an experienced trader allows one to see the trend and spot any developing opportunities at a glance. These can be used in combination with the ADX background in the bolls to point out when trends start and end.
The Directional Indexes crossing implies a equilibrium point has been reached between the buy and selling pressure. Finally the background highlight according to low and high periods of volatility does well to ensure you're entering into the best trades at the best times.
These indicators used together in combo with momentum oscillators will lead to a full and complete picture of the trend and the most likely places for future price to come, allowing a holistic view and confluence between different, noncollinear indicators to paint occam's razor onto the charts.
Wyszukaj w skryptach "donchian"
historicalrangeLibrary "historicalrange"
Library provices a method to calculate historical percentile range of series.
hpercentrank(source) calculates historical percentrank of the source
Parameters:
source : Source for which historical percentrank needs to be calculated. Source should be ranging between 0-100. If using a source which can beyond 0-100, use short term percentrank to baseline them.
Returns: pArray - percentrank array which contains how many instances of source occurred at different levels.
upperPercentile - percentile based on higher value
lowerPercentile - percentile based on lower value
median - median value of the source
max - max value of the source
distancefromath(source) returns stats on historical distance from ath in terms of percentage
Parameters:
source : for which stats are calculated
Returns: percentile and related historical stats regarding distance from ath
distancefromma(maType, length, source) returns stats on historical distance from moving average in terms of percentage
Parameters:
maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length : Moving Average Length
source : for which stats are calculated
Returns: percentile and related historical stats regarding distance from ath
bpercentb(source, maType, length, multiplier, sticky) returns percentrank and stats on historical bpercentb levels
Parameters:
source : Moving Average Source
maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length : Moving Average Length
multiplier : Standard Deviation multiplier
sticky : - sticky boundaries which will only change when value is outside boundary.
Returns: percentile and related historical stats regarding Bollinger Percent B
kpercentk(source, maType, length, multiplier, useTrueRange, sticky) returns percentrank and stats on historical kpercentk levels
Parameters:
source : Moving Average Source
maType : Moving Average Type : Can be sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
length : Moving Average Length
multiplier : Standard Deviation multiplier
useTrueRange : - if set to false, uses high-low.
sticky : - sticky boundaries which will only change when value is outside boundary.
Returns: percentile and related historical stats regarding Keltener Percent K
dpercentd(useAlternateSource, alternateSource, length, sticky) returns percentrank and stats on historical dpercentd levels
Parameters:
useAlternateSource : - Custom source is used only if useAlternateSource is set to true
alternateSource : - Custom source
length : - donchian channel length
sticky : - sticky boundaries which will only change when value is outside boundary.
Returns: percentile and related historical stats regarding Donchian Percent D
oscillator(type, length, shortLength, longLength, source, highSource, lowSource, method, highlowLength, sticky) oscillator - returns Choice of oscillator with custom overbought/oversold range
Parameters:
type : - oscillator type. Valid values : cci, cmo, cog, mfi, roc, rsi, stoch, tsi, wpr
length : - Oscillator length - not used for TSI
shortLength : - shortLength only used for TSI
longLength : - longLength only used for TSI
source : - custom source if required
highSource : - custom high source for stochastic oscillator
lowSource : - custom low source for stochastic oscillator
method : - Valid values for method are : sma, ema, hma, rma, wma, vwma, swma, highlow, linreg, median
highlowLength : - length on which highlow of the oscillator is calculated
sticky : - overbought, oversold levels won't change unless crossed
Returns: percentile and related historical stats regarding oscillator
Brrrrr strategyTheory
When Tether prints new USDT the price of BTC rises.
When Tether burns USDT the price of BTC goes down.
Idea
Open a long position when Tether starts printing new USDT.
Close a long position when Tether begins to burn USDT.
Optional: open a short position.
(Short positions can be disabled in this script's settings.)
Donchian Channel
USDT changes frequently and almost every day. Therefore it is necessary to reduce the number of signals. This way there will be less false loss signals. The Donchian channel is well suited for this task.
If the amount of USDT has exceeded the maximum for the last 50 days, it is a signal to open a long position.
If the amount of USDT has become less than the minimum over the last 50 days, it is a signal to close a long position. Or to open a short position.
The number of days can be changed in the settings of this script.
Data
The data is only available for 1-day timeframe. The data provider is Glassnode.
For
Only for BTC /USD (or BTC /USDT, BTC/USDC , etc)
For 1 day timeframe only
Speed IndicatorThe indicator showcases the Speed at which the prices change based on the set length. It does not show trend direction simply because Speed is a scalar quantity. It helps to identify when the prices are racing, slowing down, or in a range.
The formula used for calculation is Speed = Total Distance Travelled / Time.
Time is the period range that can be defined to set the lookback period.
The length is calculated by finding the absolute value of the difference between the current and closing prices one period ago. The lengths are added for the defined Time, and the Total Distance Travelled by the price is calculated. The formula of 'current price' - price 'Time' periods ago is not used, which calculates the displacement of the price used in figuring the velocity .
The Speed is then calculated using the defined formula.
For example, in the last 20 days, a stock price moved a total of 15000 points, then the Speed of the price would be 750 points per day. Therefore the price is expected to be moving around 750 points, either up or down.
There is also an application of the Donchian Channels to the calculated Speed. It helps to define a dynamic range of the Speed and easily visualize if the Speed is increasing, decreasing, or being stable. The range showcases a Speedometer , hence easing the interpretation of the Speed. Speed Range can also be customized for the Donchian channel. The contraction of the channels would occur when the Speed has been steady for some time, which would mean the price has not moved out from its range.
The importance of the indicator is to identify when the prices have slowed down to enter positions safely, since entering positions during higher speeds would be like jumping onto a fast-moving train. Although, it is up to the user's risk appetite if they wish to enter during low speeds or high speeds. The basic strategy is to enter during slow speeds, hold as speed increases, exit as Speed starts to slow down for its highs. That is the basic idea but can be customized as per the user.
Double_based_emaThe indicator shows two EMA. One superior and one inferior. The prices used to generate the EMA are diferent.
For the superior EMA the price comes from the superior part of a Donchian Channel with the same period as the EMA.
For the inferior EMA the price comes from the inferior part of the same Donchian Chanell.
There is a superior limit and a inferior limit to this prices equal a 1/2 ATR with same period.
The prices from superior part are those between the center of the channel and superior channel minus 1/2 ATR.
The prices from inferior part are those between the center of the channel and inferior channel plus 1/2 ATR.
This gives a litlle gain in speed to the EMA lecture and a second point of view as the indicator shows the superior EMA when the price is above the midle and shows the inferior EMA when the price is under the midle of the channel.
TrendCalculusThis indicator makes visualising some of the core TrendCalculus algorithm's key information and features both fast and easy for casual analysis.
Interpretation:
a) The light blue channel is the lagged price channel calculated over the timeframe of your choosing for a period of N values. When the current price breaks out of this channel the previous price major high/low can be identified as a trend reversal. This helps in counting trend "waves" and is a rolling visual version of ideas I developed for counting Elliot Waves. For EW analysis, your mileage may vary depending on the asset inspected, but the chart allows you to clearly count waves on a particular scale of time (period) ignoring noise on other time scales.
b) The green/red channel is a support/resistance indicator region that shows the relationship of the current price to the key pivot points on this time scale (period) and these make for good visual indication that the current trend is up (green), or down (red). You may find them helpful for identifying breakouts and placing stops - but this was not their original intention. The pink line is the mid point of closing values in the lagged price channel, and the orange line the mid point of closing values in the current price channel.
About TrendCalculus (TC):
TC is implemented in several languages including Lua, Scala and Python. The Lua implementation is the reference and has the most advanced functionality and delivers a powerful data processing tool for both multi-scale trend reversal detection, reversal labelling, as well as trend feature production - all useful things helping it to produce training data for machine learning models that detect trend changes in real time.
This charting tool includes: (1) two consecutive lagged Donchian channels configured to a common period N, (2) the current price, and (3) the mid price of both Donchian channels. These calculations are all part of the TC codebase, and are brought to life in this charting tool.
Motivation:
By creating a TC charting tool - the machine learning model is swapped for *your eyes* and *your brain*. Using the same inputs as the machine, you can use this chart to learn to detect trend changes, and understand how time frame (long periods, short periods) affect your view of trend change. If you choose to use it to trade, or make investment decisions, do so at your own risk. This indicator does not deliver financial advice.
TrendCalculus is the invention of Andrew Morgan, author of Mastering Spark for Data Science (2017).
The original core TrendCalculus (TC) algorithm itself is published as open-source code on github under a GPL licence, and free to use and develop.
supertrendHere is an extensive library on different variations of supertrend.
Library "supertrend"
supertrend : Library dedicated to different variations of supertrend
supertrend_atr(length, multiplier, atrMaType, source, highSource, lowSource, waitForClose, delayed) supertrend_atr: Simple supertrend based on atr but also takes into consideration of custom MA Type, sources
Parameters:
length : : ATR Length
multiplier : : ATR Multiplier
atrMaType : : Moving Average type for ATR calculation. This can be sma, ema, hma, rma, wma, vwma, swma
source : : Default is close. Can Chose custom source
highSource : : Default is high. Can also use close price for both high and low source
lowSource : : Default is low. Can also use close price for both high and low source
waitForClose : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
delayed : : if set to true lags supertrend atr stop based on target levels.
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
supertrend_bands(bandType, maType, length, multiplier, source, highSource, lowSource, waitForClose, useTrueRange, useAlternateSource, alternateSource, sticky) supertrend_bands: Simple supertrend based on atr but also takes into consideration of custom MA Type, sources
Parameters:
bandType : : Type of band used - can be bb, kc or dc
maType : : Moving Average type for Bands. This can be sma, ema, hma, rma, wma, vwma, swma
length : : Band Length
multiplier : : Std deviation or ATR multiplier for Bollinger Bands and Keltner Channel
source : : Default is close. Can Chose custom source
highSource : : Default is high. Can also use close price for both high and low source
lowSource : : Default is low. Can also use close price for both high and low source
waitForClose : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
useTrueRange : : Used for Keltner channel. If set to false, then high-low is used as range instead of true range
useAlternateSource : - Custom source is used for Donchian Chanbel only if useAlternateSource is set to true
alternateSource : - Custom source for Donchian channel
sticky : : if set to true borders change only when price is beyond borders.
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
supertrend_zigzag(length, history, useAlternateSource, alternateSource, source, highSource, lowSource, waitForClose, atrlength, multiplier, atrMaType) supertrend_zigzag: Zigzag pivot based supertrend
Parameters:
length : : Zigzag Length
history : : number of historical pivots to consider
useAlternateSource : - Custom source is used for Zigzag only if useAlternateSource is set to true
alternateSource : - Custom source for Zigzag
source : : Default is close. Can Chose custom source
highSource : : Default is high. Can also use close price for both high and low source
lowSource : : Default is low. Can also use close price for both high and low source
waitForClose : : Considers source for direction change crossover if checked. Else, uses highSource and lowSource.
atrlength : : ATR Length
multiplier : : ATR Multiplier
atrMaType : : Moving Average type for ATR calculation. This can be sma, ema, hma, rma, wma, vwma, swma
Returns: dir : Supertrend direction
supertrend : BuyStop if direction is 1 else SellStop
[Mehrok]-Relative Strength IndexI have attempted to modify existing RSI Model and add some more features to it. Below are the features.
DC High Line - Basis Donchian Channel concept i have added high line. Period can be selected in indicator options. Usage: Let's say i am tracking 90 day High period of RSI which will be shown with orange line on chart. If this orange line is breached it means RSI has made new high. Basis position of RSI we can determine if need to be in trade or exit.
DC Low Line - Basis Donchian Channel concept i have added low line. Period can be selected in indicator options. Usage: Let's say i am tracking 90 day Low period of RSI which will be shown with aqua line on chart. If this aqua line is breached it means RSI has made new low. Basis position of RSI we can determine if we can enter the trade or not.
DC MID Line - DC High + DC LOW / 2 gives a mid line which act as important resistance or support level.
Buy and Sell Zone: I have added two dotted lines which clearly indicate 55 and 45 levels in RSI. Above 55 is considered as sell zone and below 45 as buy zone. You can change the settings basis your need.
Mid Line: Indicator also show mid line at RSI 50 level which makes easier to understand if RSI is above mid line or below. It improves visualization of the indicator.
[kai]MAYou can display various types of moving averages up to 5 lines.
The following moving averages are available
sma, vwma, ema, rma, wma, hma, ssma, jma, dema, tema, trima, t3, tma, lsma, kama, mama, frma, vwap, donchian
The following moving averages are the original moving averages
evma, rvma, wvma, terima, twrima
最大５本までの様々な種類の移動平均線を表示できます
以下の移動平均線が使用可能です
sma, vwma, ema, rma, wma, hma, ssma, jma, dema, tema, trima, t3, tma, lsma, kama, mama, frma, vwap, donchian
以下の移動平均線はオリジナル移動平均線です
evma, rvma, wvma, terima, twrima
Bollinger Bands Trending Reverse StrategyWelcome to yet another script. This script was a lot easier since I was stuck for so long on the Donchian Channels one and learned so much from that one that I could use in this one.
This code should be a lot cleaner compared to the Donchian Channels, but we'll leave that up to the pro's.
This strategy has two entry signals, long = when price hits lower band, while above EMA, previous candle was bearish and current candle is bullish.
Short = when price hits upper band, while below EMA, previous candle was bullish and current candle is bearish.
Take profits are the opposite side's band(lower band for long signals, upper band for short signals). This means our take profit price will change per bar.
Our stop loss doesn't change, it's the difference between entry price and the take profit target divided by the input risk reward.
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 .
MTF Oscillator Framework [PineCoders]This framework allows Pine coders to quickly build a complete multi-timeframe oscillator from any calculation producing values around a centerline, whether the values are bounded or not. Insert your calculation in the script and you have a ready-to-publish MTF Oscillator offering a plethora of presentation options and features.
█ HOW TO USE THE FRAMEWORK
1 — Insert your calculation in the `f_signal()` function at the top of the "Helper Functions" section of the script.
2 — Change the script's name in the `study()` declaration statement and the `alertcondition()` text in the last part of the "Plots" section.
3 — Adapt the default value used to initialize the CENTERLINE constant in the script's "Constants" section.
4 — If you want to publish the script, copy/paste the following description in your new publication's description and replace the "OVERVIEW" section with a description of your calculations.
5 — Voilà!
═════════════════════════════════════════════════════════════════════════
█ OVERVIEW
This oscillator calculates a directional value of True Range. When a bar is up, the positive value of True Range is used. A negative value is used when the bar is down. When there is no movement during the bar, a zero value is generated, even if True Range is different than zero. Because the unit of measure of True Range is price, the oscillator is unbounded (it does not have fixed upper/lower bounds).
True Range can be used as a metric for volatility, but by using a signed value, this oscillator will show the directional bias of progressively increasing/decreasing volatility, which can make it more useful than an always positive value of True Range.
The True Range calculation appeared for the first time in J. Welles Wilder's New Concepts in Technical Trading Systems book published in 1978. Wilder's objective was to provide a reliable measure of the effective movement—or range—between two bars, to measure volatility. True Range is also the building block used to calculate ATR (Average True Range), which calculates the average of True Range values over a given period using the `rma` averaging method—the same used in the calculation of another of Wilder's remarkable creations: RSI.
█ 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.
Look first. Then leap.
Wilder's Volatility Trailing Stop Strategy with various MA'sFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets. This strategy is based on Wilder's Volatility System. It is an ATR trailing stop that is used for long term trends. This strategy focuses on the trailing stop alone and goes long and short only when it goes above or below the trailing line. It is similar to Donchian channels except it does not include the certain period channel breakout, only the trailing signal. This is only the trailing stop and an attempt to show how well it works standalone as Wilder described.
In his book, Wilder recommends a multiplier of 2.8-3.1 and an ATR lookback of 7 periods along with a running moving average or otherwise known as Wilder's moving average. The calculation and programming part for the trailing stop varies everywhere. I opted to keep it as simple and accurate as I could think of and interpret from the book. The variations to these types of indicators are numerous unfortunately, but Wilder seems to be the original author of ATR and this ATR-based trailing stop. In his book he says to use the significant closing price or highest/lowest closing price for the calculation part but I also included the option of choosing the highest high and lowest low, and the option to choose various moving averages in case anyone wants to experiment.
Comparing this and Donchian channels, it seems that a 2.5 multiplier is somewhat similar to the middle band of DCs and a 3.0 multiplier is somewhat similar to a double length middle band of DCs. It's hard to say which is the better trailing stop for a long term strategy. It's hard to beat the simplicity of DCs but maybe some might find a need for more inputs in a trailing stop or maybe an ATR based one like Wilder's can work better depending on what setting or strategy it's used in.
Noro's RiskDonchian StrategyThe strategy uses Donchian price channel . The channel is shown in blue lines. All other lines use Donchian channel too. The red line is the center line between the channel lines. The lime line is a few percent further away. The percentage is set by the user in the strategy settings.
Lines
Blue line - to open position using market stop order
Lime line - take-profit (limit order)
Red line - stop-loss (market stop order, trailing-stop)
For
- BTC /USD, XBT/USD, ETH/USD (need USD)
- timeframe: 1h or 4h
ChannelsBreakoutThis script allows you to intercept price channel breakouts (Donchian channel) in a bullish perspective. Applicable both on Equities/ETFs and on Futures (Index Futures).
We open a position when closes crosses the upper channel. The trade ends with a trailing associated with a fast lower Donchian or a monetary stop loss.
It is an educational code and does not constitute a solicitation for public savings.
DonDonAim of this indicator is to detect trend and support more easy
first I use the fib donchian script that i publish sometime ago
next is speacial trend line based on modiffied bollinger and donchian channel
last add info panel so when close cross the basis line up the trend wil be green in the info panel , if cross down the trend will be in red
to this template we can add more indicator but i just keep this simple
Surfing Wave [ChuckBanger]An interesting little script... It utilize Moving Averages with a set multiplier and an offset to locate strong trends and possible future support - resistance. I also include a Donchian wave channel.
The interesting thing with Donchian part is it lines up pretty well with fibonacci retracement
IFTS+TS Strategy OverlayInverse Fisher transform on stochastic with Hull MA and Donchian Channels with oversell/overbuy levels and dynamic trailing stop
Options:
Fixed trailing stop
Dynamic, based on ATR trailing stop
Re-enter after trailing stop
Includes Hull MA
Hull MA filtration for re-entering after trailing stop
Donchian channels, with overbuy/oversell levels
No repaints
Percentile Trend Channel [DW]This is an experimental study designed to identify the trend of price action over a specified period using percentiles.
First, the 50th percentile is calculated over the sampling period using the nearest rank method. I've found that this calculation is useful as a proxy for moving averages and other filters of that class.
Next, the channel levels are calculated. In this study, there are three channel methods to choose from:
-Percentile Donchian, which calculates Donchian Channels using the 100th and 0th percentile ranks
-Percentile Keltner, which calculates the 50th percentile true range multiplied by a specified amount, then adds it to and subtracts it from the 50th percentile
-Percentile Bollinger, which calculates 50th percentile standard deviation multiplied by a specified amount, then adds it to and subtracts it from the 50th percentile
I also included a squeeze box option within this script, which is derived from my original Squeeze Box tool.
This option detects squeezes in the specified channel's range by a specific percentage, and plots the channel values where the squeeze begins.
The box also has a range multiplier, which can be used to expand or contract its range.
Custom bar colors are included. The color scheme is based on the perceived trend over the specified sampling period.
Breakout Scalper (Session)This is a twist on my on my Breakout Scalper strategy that limits trading to a user-configurable session
Find the original "Continuous" version of the scalper here:
The breakout scalper is based on "slow" and "fast" donchian periods. In this version, the "slow" donchian is in fact the Day's high/low. This important difference means that we will always be entering our trades at the day's high or low, so you are exposed to the price making new highs/lows but not to oscillations within the day's range.
Furthermore, the scalper is modified to only enter trades after the start of the user-configured session. Any open trades are closed at the end of the user-configured session. The default session is set to 10:00 AM to 3:30 PM because that's when I like to trade.
BB After CloseThis is just an idea I am toying with.
Enforce patience by triggering after the previous candle close. This way you enter on a confirmation.
I like the way this pairs with a donchian channel, and also I just like donchian channels
How I would trade this, say for a long dip buy:
1. Do not trade the first candle of the day. Close any open positions at the end of the day.
2. Generally speaking, Green/Yellow are bullish signals and Red/Orange are bearish signals
3. The diamond is the signal, and the square is the confirmation of the signal. So generally go with the square as your signal.
4. The cross (which looks like a plus sign) is the "happy" profit stop and the xcross (which is an 'x' sign) is the less happy loss stop. These stop symbols may show up frequently in strong trends - in these situations, use them as a sign of trend as well.
CM_Enhanced_Ichimoku Cloud-V5.2New version of the improved Ichimoku cloud
Original by Chris Moody, great work.
This indicator is a colorized Ichimoku with colors that you can change for any component. Not many changes between 5.1 and 5.2, I fixed some labels and the crossing detection, as well as the default colors.
There's not much more left we can do without radically changing the original Ichimoku. We could implement full-multiframe but you can already do that by adding several times this indicator and changing the periods.
Displayed components:
Kijun-Sen: middle of the highest/lowest prices during the last 26 periods
Tenkan-Sen: middle of the highest/lowest prices during the last 9 periods
Senkou Span A (SSA) : average of Kijun and Tenkan, projected 26 periods ahead
Senkou Span B (SSB): middle of the highest/lowest prices during the last 52 periods, and projected 26 periods ahead
Chikou Span: the closing price projected 26 periods behind.
Kumo: the cloud itself, the area between SSA/SSB.
The script also provides indication of the crossings between Tenkan and Kijun, some trading strategies are based upon that. There is also a separate Kijun with its own period for those you'd like to have this information at another timeframe. I removed the third Kijun that was in version 5.1, I don't think it was widely used and made the configuration screen too crowded. If you really need this, take a look at Donchian indicators, the Kijun is basically a Donchian on 26 periods.
Chris Moody Version (v5):
Swing DistanceHello fellas,
This simple indicator helps to visualize the distance between swings. It consists of two lines, the highest and the lowest line, which show the highest and lowest value of the set lookback, respectively. Additionally, it plots labels with the distance (in %) between the highest and the lowest line when there is a change in either the highest or the lowest value.
Use Case:
This tool helps you get a feel for which trades you might want to take and which timeframe you might want to use.
Side Note: This indicator is not intended to be used as a signal emitter or filter!
Best regards,
simwai
