MACD With Trend Filter: Visual Backtest Module TemplateSample Strategy: MACD Crossover with trend filter options
MA Filter : Price Close Above MA, Search for Buy, Price Close Below MA, Search for Sell
ADX Filter : Take trade only when ADX is above certain treshold
MACD Signal : MACD Cross above signal line while under 0 line indicate Buy Signal
MACD Cross below signal line while above 0 line indicate Sell Signal
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Using Alert Module:
Enable Alert --> Enable TV's alert and plot signal to chart
Alert Type --> Set to take Buy only, Sell only or Both alert
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Using Backtest Module:
Enable Backtest --> Enable Backtest simulation
Backtest Type --> Set to take Buy only, Sell only or Both
SL Type -->
ATR : Set SL in ATR times Multiplier below/above entry price
Fixed : Set SL in fixed point below entry point (in 'Dollar'). e.g. for Stocks -> 0.5 equals to 50cent while for EURUSD currency -> 0.005 equal to 50 pips
HiLo Bar : Set SL at highest/lowest wick of previous bar plus/minus Fixed point. e.g. EURUSD HiLo=3 and Fixed Point = 0.0005, buy trade will place SL 5 Pips below lowest of previous 3 bar
SL ATR Period --> Set Lookback Period used for SL's ATR calculation
SL ATR Multi --> Set ATR Multiplier for SL
SL Fixed --> Set Fixed Level for SL (Use when SL Type is either Fixed or HiLo Bar)
SL Bar --> Set Number of previous bar to check for SL placement
TP RR Ratio --> Set TP based on RR multiplier. e.g. 2 means TP level will be twice further from entry point compared to Entry-SL distance.
Notes: The point is for preliminary testing, so it only supports 1 trade at a time and no Trailing Stop
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Disclaimer:
This script main objective is to create my personal indicator template so that i just have to modify the indicator module for preliminary testing in future.
Testing Alert Module so i can re-use it as template in future study/indicator
Testing Visual Backtest Module so i can re-use it as template in future study/indicator
i believe using Strategy function is a better approach for this but the entry/exit level seems to be hit n miss (at least for me, still trying to figure what i did wrong)
also, i rather code the strategy in other platform where i can use the more accurate tick data if i want to validate backtest statistics.
My study scripts was built only to test/visualize an idea to see its viability and if it can be used to optimize existing strategy.
credit: ADX code are originally from "ADX and DI" by @BeikabuOyaji although i re-wrote so i can have cleaner read and use RMA instead of SMA
Cari dalam skrip untuk "Trailing stop"
G-Kijun trailing stopThis indicator is the part of ichimoku kyo hyo.
I luv kijun-sen very much
kijun-sen is develop form (Highest - Lowest)/2
It's mean 50% of fibonacci
and I create color Green for price over the kijun-sen when the price cross down the kijun-sen it'sll be Red
T3 Ichimoku Cloud StrategyThis strategy utilizes a variation of the Ichimoku Cloud based on T3 moving averages to smooth the outline of the cloud. With less noise and conflicting signals, it is an effective strategy when paired with a trailing stop loss.
Renko MTF - Traditional and ATRSomehow there aren't too many renko bars that have the traditional setting built-in so I put one up. This one has the option to choose between Traditional and ATR, the size number corresponds to the option that was chosen. And just in case if anyone wanted, I put up a multi-time frame option to choose the time frame the bars take place. D is for day, W is for week, flat numbers are in minutes, and leaving it blank looks at the current time frame the chart is in. The calculation comes from how Tradingview handles renko bars.
Renko bars don't paint a color unless the market moves a certain amount based on its settings. When the market moves up it turns green, if it moves down it turns red, simple color changes alone can say a lot. They're a good way to try to find trends somewhat objectively and seem to be a good way to eliminate time and can replace other time-based indicators that can whipsaw or lag. The bars have a tendency to repeat themselves so it's a good way to find trends. There aren't too many settings for the box size, most people either just choose 5, 10, 14, etc where as other indicators have many options that differ on different markets. The numbers can be chosen easily enough to pick a sweet spot with just a single input where other indicators such as MACD have multiple inputs to pick the right number that can make it difficult to choose from(although it won't be as precise as a MACD would sometimes but can be worth the objectiveness and consistency and same setting repeatability in different markets in my opinion). Some example strategies could be to use them as an alternative trailing stop, finding trends, a simple color change for entry and exit on top of other strategies, etc. It can do the job of many in an all in one price action type indicator(although not better all the time, it can come close enough). Despite all this, it does seem to depend on which time-frame it's being looked at, how TV does the calculation for it, and how one can use this with the lack of practical information on it out there.
PMax Explorer STRATEGY & SCREENERProfit Maximizer - PMax Explorer STRATEGY & SCREENER screens the BUY and SELL signals (trend reversals) for 20 user defined different tickers in Tradingview charts.
Simply input the name of the ticker in Tradingview that you want to screen.
Terminology explanation:
Confirmed Reversal: PMax reversal that happened in the last bar and cannot be repainted.
Potential Reversal: PMax reversal that might happen in the current bar but can also not happen depending upon the timeframe closing price.
Downtrend: Tickers that are currently in the sell zone
Uptrend: Tickers that are currently in the buy zone
Screener has also got a built in PMax indicator which users can confirm the reversals on graphs.
Screener explores the 20 tickers in current graph's time frame and also in desired parameters of the SuperTrend indicator.
Also you can optimize the parameters manually with the built in STRATEGY version.
PMax indicator :
Profit Maximizer - PMax is a brand new indicator developed by me.
It's a combination of two trailing stop loss indicators;
One is Anıl Özekşi's MOST (Moving Stop Loss) Indicator
and the other one is well known ATR based SuperTrend
Profit Maximizer - PMax tries to solve this problem. PMax combines the powerful sides of MOST (Moving Average Trend Changer) and SuperTrend (ATR price detection) in one indicator.
Backtest and optimization results of PMax are far better when compared to its ancestors MOST and SuperTrend. It reduces the number of false signals in sideways and give more reliable trade signals.
PMax is easy to determine the trend and can be used in any type of markets and instruments. It does not repaint.
The first parameter in the PMax indicator set by the three parameters is the period/length of ATR.
The second Parameter is the Multiplier of ATR which would be useful to set the value of distance from the built in Moving Average.
I personally think the most important parameter is the Moving Average Length and type.
PMax will be much sensitive to trend movements if Moving Average Length is smaller. And vice versa, will be less sensitive when it is longer.
As the period increases it will become less sensitive to little trends and price actions.
In this way, your choice of period, will be closely related to which of the sort of trends you are interested in.
We are under the effect of the uptrend in cases where the Moving Average is above PMax;
conversely under the influence of a downward trend, when the Moving Average is below PMax.
Built in Moving Average type defaultly set as EMA but users can choose from 8 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Movin Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
Tip: In sideways VAR would be a good choice
You can use PMax default alarms and Buy Sell signals like:
1-
BUY when Moving Average crosses above PMax
SELL when Moving Average crosses under PMax
2-
BUY when prices jumps over PMax line.
SELL when prices go under PMax line.
Bollinger Bands Strategy with Intraday Intensity IndexFor 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 is a mean reversion strategy based on Bollinger Bands and the Intraday Intensity Index (a volume indicator). John Bollinger mentions that the Intraday Intensity Index can be used with Bollinger Bands and is one of the top indicators he recommends in his book. It seems he prefers it over the other volume indicators that he compares to for some reason. III looks a lot like Chaikin Money Flow but without the denominator in that calculation. On the default settings of the BBs, the III helps give off better entry signals. John Bollinger however is vague on how to use the BBs and it's hard to say if one should enter when it is below/above the bands or when the price crosses them. I find that with many indicators and strategies it's best to wait for a confirmation of some sort, in this case by waiting for some crossover of a band. Like most mean reversion strategies, the exit is very loose if using BBs alone. Usually the plan to exit is when the price finally reverts back to the mean or in this case the middle band. This can potentially lead to huge drawdowns and/or losses. Mean reversion strategies can have high win/loss ratios but can still end up unprofitable because of the huge losses that can occur. These drawdowns/losses that mean reversion strategies suffer from can potentially eat away at a large chunk of all that was previously made or perhaps up to all of it in the worst cases, can occur weeks or perhaps up to months after being profitable trading such a strategy, and will take a while and several trades to make it all back or keep a profitable track record. It is important to have a stop loss, trailing stop, or some sort of stop plan with these types of strategies. For this one, in addition to exiting the trade when price reverts to the middle band, I included a time-based stop plan that exits with a gain or with a loss to avoid potentially large losses, and to exit after only a few periods after taking the trade if in profit instead of waiting for the price to revert back to the mean.
Profit Maximizer PMaxPMax is a brand new indicator developed by KivancOzbilgic in earlier 2020.
It's a combination of two trailing stop loss indicators;
One is Anıl Özekşi's MOST (Moving Stop Loss) Indicator
and the other one is well known ATR based SuperTrend.
Both MOST and SuperTrend Indicators are very good at trend following systems but conversely their performance is not bright in sideways market conditions like most of the other indicators.
Profit Maximizer - PMax tries to solve this problem. PMax combines the powerful sides of MOST (Moving Average Trend Changer) and SuperTrend (ATR price detection) in one indicator.
Backtest and optimization results of PMax are far better when compared to its ancestors MOST and SuperTrend. It reduces the number of false signals in sideways and give more reliable trade signals.
PMax is easy to determine the trend and can be used in any type of markets and instruments. It does not repaint.
The first parameter in the PMax indicator set by the three parameters is the period/length of ATR.
The second Parameter is the Multiplier of ATR which would be useful to set the value of distance from the built in Moving Average.
I personally think the most important parameter is the Moving Average Length and type.
PMax will be much sensitive to trend movements if Moving Average Length is smaller. And vice versa, will be less sensitive when it is longer.
As the period increases it will become less sensitive to little trends and price actions.
In this way, your choice of period, will be closely related to which of the sort of trends you are interested in.
We are under the effect of the uptrend in cases where the Moving Average is above PMax;
conversely under the influence of a downward trend, when the Moving Average is below PMax.
Built in Moving Average type defaultly set as EMA but users can choose from 8 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Movin Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
Tip: In sideways VAR would be a good choice
You can use PMax default alarms and Buy Sell signals like:
1-
BUY when Moving Average crosses above PMax
SELL when Moving Average crosses under PMax
2-
BUY when prices jumps over PMax line.
SELL when prices go under PMax line.
Two level TP + TrailStp exits exampleMulti level exist example.
When you need take profit 50% of position size and trailing stop for remain part.
The different ids names for exits is important. Same id needs when we want to modify exit's parameters.
AITI Investa: Trend FollowingScript ini dibuat untuk membantu strategi trend following harian pada saham-saham di IHSG.
Terdiri dari:
1. Petunjuk visual untuk area trend yang sebaiknya dihindari ( bearish trend ), berupa background berwarna merah. Dimana area bearish trend adalah ketika garis fast ema berada di bawah garis slow ema .
2. Batas stop loss / trailing stop, dengan acuan nilai ATR.
Script ini tidak memberikan sinyal buy. Silakan gunakan strategi buy on weakness/breakout sesuai analisa dan preferensi masing-masing. Untuk mencari entry trigger, penulis merekomendasikan untuk menarik garis support/resistance manual dan digabungkan dengan indikator MACD & CCI sebagai konfirmasi.
-AITI Investa
Ichimoku Cloud - AlertsIchimoku cloud
IC is a trend - following system with an indicator similar to moving averages
It predicts price movements
Offers a unique perspective of support and resistance levels.
Conversion Line (Turning Line)
- Measures Short Term Trend
- SIgnals an area of minor support and resistance
Base Line (Confirmation Line)
Measures Medium term trend
Used as Trailing Stop Level.
Lagging Span (Lagging Line)
Used for Confirmation of signals
Can also serve as Support and Resistance Level
Kumo Cloud
Formed of two lines: Span A (Green Line) and Span B (Red Line)
Dynamic Support and Resistance .
HOW TO READ ICHIMOKU INDICATOR
Conversion Line
If the Market Price is above the Conversion Line = Short Term Upward Movement
If the Market Price is below the Conversion Line = Short Term Downward Movement
Increasing Conversion Line = Upward Short Term Trend
Decreasing Conversion Line = Downward Short Term Trend
Base Line
If the Market Price is above the baseline = Medium - term upward trend
If the Market price is below the baseline = Medium - Term downward Trend
Increasing Base Line = Upward Medium term trend
Decreasing Base Line = Downward Medium Term Trend
Lagging Span
The Evolution of the current price action in relation to previous price action
If the Lagging span is above the current price = Bullish Bias
If the Lagging span is below the current price = Bearish Bias
Lagging span near the current price = Trading range
Kumo Cloud
Dynamic Support and Resistance based upon price action.
The longer the price stays below/above the Kumo cloud, the STRONGER the trend is.
When the cloud is wide, the expected support or resistance is strong
When the cloud is thin, the expected support or resistance is weak
Never trade inside the KUMO CLOUD.
HOW TO TRADE WITH ICHIMOKU CLOUD
Baseline and conversion Line crossover (Lagging Span as a Filter)
crossover(conversion line, baseline) = Buy
crossunder(conversion line, baseline) = Sell
FILTER
crossover(conversion line, baseline) and lagging span is Bullish (i.e above the price) = Buy
Crossunder(conversion line, baseline) and lagging span is Bearish (i.e below the price) = Sell
2. Baseline - Conversion line crossover (Kumo cloud Filter)
crossover(conversion line, baseline) above the Kumo Cloud = Strong Buy
crossover(conversion line, baseline) below the Kumo cloud = Weak Buy
crossunder(conversion line, baseline) below the Kumo Cloud = Strong Sell
crossunder(conversion line, baseline) above the Kumo Cloud = Weak Sell
3. Kumo Cloud Breakout
When the price enters the Kumo Cloud, and breaks its Upper wall upward = Bullish Signal
When the price enters the Kumo Cloud, and breaks its Lower wall downward = Bearish Signal
4. Kumo Cloud Crossover
When Span A cuts the Span B from below to the upside and prices are positioned above the Kumo Cloud = Strong Buy Signal
When Span A cuts the Span B from upside to the bottom and the prices are positioned below the Kumo Cloud = Strong Sell
When Span A cuts Span B from bottom to the upside and prices are positioned below the Kumo Cloud = Weak Buy Signal
When Span A cuts Span B from the upside to the bottom and the prices are positioned above the Kumo Cloud = Weak Sell Signal.
NOTE:- Some of the signals collide with each other, but they collide for the same call, so shouldn't really be a problem overall. Let me know if you have any suggestions to nullify the trading Range. Though I do plan on adding my Renko code to it for filtering out Trading Range.
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
Gator RibbonThere's nothing fancy here--I just like the look of this one. And it works pretty well. This started out as the standard Alligator indicator. There I reset all the offsets to 0 and added an Ichimoku Cloudish fill.
Astute observers will notice a fourth line has been added at 34 SMA. It's a bit of a cheat. 34 SMA is the zero line of another classic B. Williams indicator, the Awesome Oscillator. When the green line crosses over 34 SMA, it's quite likely the Awesome Oscillator will have changed sentiment as well. It also makes a nice loose trailing stop loss reference if you're hoping to get into some long trends.
Simple Moving Average Double HelixThis one is a mix of colour-coded moving averages and Ichimoku. It features two pairs of SMAs--default values of 9/20 and 50/200. Each SMA will be green when it rises and red when it falls. The spaces between each pair will fill with green or red depending on which line is on top. 9 over 20 or 50 over 200 makes a green cloud; if 9 or 50 falls below, the cloud will switch to green.
There's also the Ichimoku lagging span and a 35-period SMA (grey) that can be used as a trailing stop loss guideline.
Ideal long setup:
9, 20, 50, and 200 SMA are all green
both clouds are green
lagging span is above historic price action
Ideal short setup:
9, 20, 50, and 200 SMA are all red
both clouds are red
lagging span is below historic price action
Breakout Trend Follower StrategyThis strategy goes long when highs are broken and uses a trailing stop that follows swing lows. User can configure a back test date range and choose whether or not to only take trades above a selected moving average.
The desire for me to make this script was to try to capture those extreme breakouts that can occur after a consolidation/equilibrium pattern. This catches those using stop-buys as the entry. Out of all the scripts I have made thus far, this one is the one that has the best results. Time frames might vary due to commission structures, etc. I currently use this strategy on stocks on the 30-min time frame and crypto (with Coinbase's high fees) on the 2-hr time frame.
Noro's Donchian 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
KINSKI Buy-Sell Signal"KINSKI Buy-Sell Signal" is an Average True Range (ATR) based trailing stop indicator.
In this version, you can change the ATR calculation method using the settings. The default method is hlc3. The HLC stands for High, Low, Close and the /3 divides the result by 3 to give you the average.
The indicator calculates the buy and sell signals using HLC3, Simple Moving Average ( SMA ) and the Exponential Moving Average ( EMA ) as soon as they cross. This indicator is useful with time intervals starting at 15m.
Have fun with it and be careful when buying and selling!
Example Chart:
V/V weighted ma - JDAs a third new weighted moving average I present the Volume-Volatility Weighted Moving Average.
The Volume-Volatility Weighted Moving Average (VVwma) calculates the average price over a certain period,
weighted by both volume and volatilty, Big volume doesn't necessarily move price a lot but is very important,
big price moves don't always need big volume but also have a lot of importance!
In this indicator both big volume moves as well as big price moves are factored in to calculate the ma behaviour.
The ma has a tendancy to quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volume/volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the VVwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
Volatility weighted maThe next in my series of weighted moving averages is the Volatility Weighted Moving Average.
The Volatility Weighted Moving Average (Volwma) calculates the average price over a certain period,
contrary to the well known Volume weighted ma, it is weighted by volatilty,
meaning big price moves don't always need big volume but also have a lot of importance!
In this indicator these big price moves are factored in to calculate the ma behaviour.
As the ma is quite biased on price moves it can quickly give an indication of a ranging vs trending market by angle of the ma.
In ranging market it quickly flattens out and could be used to filter out insignificant low volatility moves
compared to regular ma's or the standard volume weighted ma
Another use of it could be as entry/exit signals or
as a means of a trailing stop or a hard exit for a strategy or
as a "baseline" to combine with other signals
feel free to experiment!!!
If you use the Volwma in your scripts or your work, a shoutout would be nice!!
Gr, JD.
#NotTradingAdvice #DYOR
Guppy Count Back LineThe Guppy Count Back Line was created by Daryl Guppy and is essentially a trailing stop indicator. I have color coded the indicator to tell you if you should go long or short.
This was a special request so let me know if you would like me to write more scripts for other indicators!
Validated PSARPSAR works well as trailing stop loss (or WinStop), but is often whipsaw'd as it detect trend changes over enthusiastically.
So, a filter to validate trend changes was added. It basically requires 3 straight bars completely breaking the prior saved PSAR level.
Enjoy!
Hikmet SupertrendSuperTrend is one of the most common ATR based trailing stop indicators.
In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA .
The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility .
The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price.
It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
SuperTrendSuperTrend is one of the most common ATR based trailing stop indicators.
In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA.
The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility.
The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price.
It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
I had converted Supertrend indicator code for various platforms like Metastock in 2017, but in this TradingView version special credit goes to everget - Alex Orekhov which gave a great inspiration to look my indicators better with highlights, signals and alarms. Thank you Alex.
KLemurs DeviationMarket: Stocks and ETF's
This overlay shows the deviation of the exponential moving average of the mid candle price of the currently loaded chart, away from the exponential moving average of the S&P and DOW combined and averaged mid candle price. The top and bottom lines also give a visual perspective of what a certain percentage (default 1%) looks like on the current charts window. This may help with making quick decisions for things like setting trailing stop trades with a percentage. This can be used for stocks, ETF's, and index's and It may be useful in finding potential stocks or ETF's if you are interested in these kinds of deviations. Defaults are set for a dark screen but can be edited to your taste. It's optimized to be an overlay on the current chart window as opposed to being a separate window.
Percentage Lines (editable)
This is three lines. The upper line (default green) plots the set percentage (default 1%) above the current chart’s ema. The middle line (default white) plots the current chart’s ema. The lower line (default red) plots the set percentage (default 1%) below the current chart’s ema.
Deviation Band (editable)
This is the colored band on the overlay between the upper and lower percentage lines. The band’s fill color indicates the deviation of the current charts ema from the ema of the combined S&P and DOW’s ema as follows:
- Red (default) = Current Chart’s ema is descending and the S&P/DOW ema is descending OR the Current Chart’s ema is below (underperforming) the S&P/DOW ema.
- Orange (default) = The Current Chart and S&P/DOW ema’s are both either ascending or descending together.
- Green (default) = The Current Chart’s ema is ascending but the S&P/DOW ema is descending.
To Set Line Colors
BY default, the upper line color uses the same colors as the ascending band color and the lower line uses the same color as the descending band color. To set the line colors, see "plotColor", "plotColorUp", or" plotColorDown" in variable settings within the script or use the “Central Plot Line”, “Upper Plot Line, or “Lower Plot Line” in the input dialogue to change this.
To Set Band Colors
To set the band colors, see "plotColor", "plotColorUp", or "plotColorDown" in variable settings within the script or use the “Color0”, “Color1", or “Color2” in the input dialogue to change this.
To Set EMA Lookback Period
The ema lookback period defaults to 5. This is the number of candles back that the script will use to determine the ema. See “CCemaN” in variable settings within the script or use the “EMA Period” in the input dialogue to change this.
To Set Percentage
To set the percentage that plots the upper and lower lines, see "CCP" in variable settings within the script or use “Upper/Lower Bands Percentage” in the input dialogue to change this. The default is .01 (or 1%).