STRATEGY TESTER ENGINE - ON CHART DISPLAY - PLUG & PLAYSo i had this idea while ago when @alexgrover published a script and dropped a nugget in between which replicates the result of strategy tester on chart as an indicator.
So it seemed fair to use one of his strategy to display the results.
This strategy tester can now be used in replay mode like an indicator and you can see what happen at a particular section of the chart which was is not possible in default strategy tester results of TV.
Please read how each result is calculated so you will know what you are using.
This engine shows most common results of strategy tester in a single screen, which are as follows:
1. Starting Capital
2. Current Profit Percentage
3. Max Profit Percentage
4. Gross Profit
5. Gross Loss
6. Total Closed Trades
7. Total Trades Won
8. Total Trades Lost
9. Percentage Profitable
10. Profit Factor
11. Current Drawdown
12. Max Drawdown
13. Liquidation
So elaborating on what is what:
1. Starting Capital - This stays 0, which signifies your starting balance as 0%. It is set to 0 so we can compare all other results without any change in variables. If set to 100, then all the results will be increased by 100. Some users might find it useful to set it to 100, then they can change code on line 41 from to and it should show starting balance as 100%.
2. Current Profit Percentage - This shows your current profit adjusted to current price of the candle, not like TV which shows after candle is close. There is a comment on the line 38 which can be removed and your can see unrealized profit as well in this section. Please note that this will affect Draw-down calculations later in this section.
3. Max Profit Percentage - This will show you your max profit achieved during your strategy run, which was not possible yet to see via strategy tester. So, now you can see how much profit was achieved by your strategy during the run and you can compare it with chart to see what happens during bull-run or bear-run, so you can further optimize your strategy to best suit your desired results.
4. Gross Profit - This is total percentage of profit your strategy achieved during entire run as if you never had any losses.
5. Gross Loss - This is total percentage of loss your strategy achieved during entire run as if you never had any profits.
6. Total Closed Trades - This is total number of trades that your strategy has executed so far.
7. Total Trades Won - This is the total number of trades that your strategy has executed that resulted in positive increase in equity.
8. Totals Trades Lost - This is the total number of trades that your strategy has executed that resulted in decrease in equity.
9. Percentage Profitable - This is the ratio between your current total winning trades divided by total closed trades, and finally multiplied by 100 to get percentage results.
10. Profit Factor - This is the ratio between Gross Profit and Gross Loss, so if profit factor is 2, then it indicates that you are set to gain 2 times per your risk per trade on average when total trades are executed.
11. Current Drawdown - This is important section and i want you to read this carefully. Here draw-down is calculated very differently than what TV shows. TV has access to candle data and calculates draw-down accordingly as per number of trades closed, but here DD is calculated as difference between max profit achieved and current profit. This way you can see how much percentage you are down from max peak of equity at current point in time. You can do back-test of the data and see when peak was achieved and how much your strategy did a draw-down candle by candle.
12. Max Drawdown - This is also calculated differently same as above, current draw-down. Here you can see how much max DD your strategy did from a peak profit of equity. This is not set as max profit percentage is set because you will see single number on display, while idea is to keep it custom. I will explain.
So lets say, your max DD on TV is 30%. Here this is of no use to see Max DD , as some people might want to see what was there max DD 1000 candles back or 10 candle back. So this will show you your max DD from the data you select. TV shows 25000 candle data in a chart if you go back, you can set the counter to 24999 and it will show you max DD as shown on TV, but if you want custom section to show max DD , it is now possible which was not possible before.
Also, now let's say you put DD as 24999 and open a chart of an asset that was listed 1 week ago, now on 1H chart max DD will never show up until you reach 24999 candle in data history, but with this you can now enter a manual number and see the data.
13. Liquidation - This is an interesting feature, so now when your equity balance is less than 0 and your draw-down goes to -100, it will show you where and at what point in time you got liquidated by adding a red background color in the entire section. This is the most fun part of this script, while you can only see max DD on TV.
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How to Use -
1 word, plug and play. Yes. Actual codes start from line 33.
select overlay=false or remove it from the title in your strategy on first line,
Just copy the codes from line 33 to 103,
then go to end section of your strategy and paste the entire code from line 33 to line 103,
see if you have any duplicate variable, edit it,
Add to chart.
What you see above is very contracted view. Here is how it looks when zoomed in.
imgur.com
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Feel free to edit and share and use. If you use it in your scripts, drop me tag. Cheers.
Buscar en scripts para "马斯克+100万"
EulerMethod: CryptoCapEN
Shows the cryptocurrency market capitalization balance for the period
Initial data
Bitcoin Capitalization - CRYPTOCAP: BTC
Altcoin Capitalization - CRYPTOCAP: TOTAL2
Money circulates from fiat to bitcoin, from bitcoin to altcoins, from altcoins to fiat
This indicator applies the RSI algorithm to changes in capitalization
The divergence of indices shows an imbalance
Balance level: 0, Maximum: +100, Minimum: -100
(!) Artifacts of indicator readings may occur due to incorrect input data
RU
Показывает баланс капитализации крипторынка за период
Исходные данные
Капитализация Биткоина — CRYPTOCAP:BTC
Капитализация Альткоинов — CRYPTOCAP:TOTAL2
Деньги циркулируют из фиата в биткоин, из биткоина в альткоины, из альткоинов в фиат
В этом индикаторе применяется алгоритм RSI к изменениям капитализации
Расхождения индексов показывают дисбаланс
Балансовый уровень: 0, Максимум: +100, Минимум: -100
(!) Могут возникать артефакты показаний индикатора из-за неправильных исходных данных
Correlation MatrixIn financial terms, 'correlation' is the numerical measure of the relationship between two variables (in this case, the variables are Forex pairs).
The range of the correlation coefficient is between -1 and +1. A correlation of +1 indicates that two currency pairs will flow in the same direction.
A correlation of -1 indicates that two currency pairs will move in the opposite direction.
Here, I multiplied correlation coefficient by 100 so that it is easier to read. Range between 100 and -100.
Color Coding:-
The darker the color, the higher the correlation positively or negatively.
Extra Light Blue (up to +29) : Weak correlation. Positions on these symbols will tend to move independently.
Light Blue (up to +49) : There may be similarity between positions on these symbols.
Medium Blue (up to +75) : Medium positive correlation.
Navy Blue (up to +100) : Strong positive correlation.
Extra Light Red (up to -30) : Weak correlation. Positions on these symbols will tend to move independently
Light Red (up to -49) : There may be similarity between positions on these symbols.
Dark Red: (up to -75) : Medium negative correlation.
Maroon: (up to -100) : Strong negative correlation.
BO - CCI Arrow with AlertBO - CCI Arrow with Alert base on CCI indicator to get signal for trade Binary Option.
Rules of BO - CCI Arrow with Alert below:
A. Setup Menu
1. cciLength:
* Default CCI lenght = 14
2. Linear Regression Length:
* Periods to calculate Linear Regression of CCI,
* Default value = 5
3. Extreme Level:
* Default top extreme level = 100
* Default bottom extreme level = -100
4. Filter Length:
* Periods to define highest or lowest Linear Regression
* Default value = 6
B. Rule Of Alert Bar
1. Put Alert Bar
* Current Linear Regression Line created temporrary peak
* Peak of Linear Regression Line greater than Top Extreme Level (100)
* Previous Linear Regression is highest of Filter Length (6)
* Previous Linear Regression is greater than previous peak of Linear Regression Line
* Current price greater than previous low
* CCI(14) less than Linear Regression Line
2. Call Alert Bar
* Current Linear Regression Line created temporrary bottom
* Bottom of Linear Regression Line less than Bottom Extreme Level (-100)
* Previous Linear Regression is lowest of Filter Length (6)
* Previous Linear Regression is less than previous bottom of Linear Regression Line
* Current price less than previous lhigh
* CCI(14) greater than Linear Regression Line
B. Rule Of Entry Bar and Epiry.
1. Put Entry with expiry 3 bars:
* After Put Alert Bar close with signal confirmed, put Arrow appear, and after 3 bars, result label will appear to show win trade, loss trade or draw trade
2. Call Entry with expiry 3 bars:
* After Call Alert Bar close with signal confirmed, call Arrow appear, and after 3 bars, result label will appear to show win trade, loss trade or draw trade.
3. While 1 trade is opening no more any signal
C. Popup Alert/Mobile Alert
1. Signal alert: Put Alert or Call Alert will send to mobile or show popup on chart
2. Put Alert: only Put Alert will send to mobile or show popup on chart
3. Call Alert: only Call Alert will send to mobile or show popup on chart
Point and Figure (PnF) CCIThis is live and non-repainting Point and Figure Chart Commodity Channel Index - CCI tool. The script has it’s own P&F engine and not using integrated function of Trading View.
Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart.
P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify.
Commodity Channel Index – CCI was developed by Donalt Lambert. CCI can be used to identify overbought or oversold, a new trend or warn of extreme conditions. CCI measures the difference between a security's price change and its average price change. High positive readings indicate that prices are well above their average, which is a show of strength. Low negative readings indicate that prices are well below their average, which is a show of weakness.
The Formula for the Commodity Channel Index ( CCI ) Is:
CCI = (Typical Price – L-period SMA of TP) / (0.015 * Mean Deviation)
Mean Deviation = (SumOf 1->L ( |TP – MA| )) / L
L = Length
TP = Typical Price
If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources.
Options in the Script
Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined
4 different methods for Box size can be used in this tool.
User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals.
ATR: Box size is dynamically calculated by using ATR, default period is 20.
Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1
Traditional: uses a predefined table of price ranges to determine what the box size should be.
Price Range Box Size
Under 0.25 0.0625
0.25 to 1.00 0.125
1.00 to 5.00 0.25
5.00 to 20.00 0.50
20.00 to 100 1.0
100 to 200 2.0
200 to 500 4.0
500 to 1000 5.0
1000 to 25000 50.0
25000 and up 500.0
Default value is “ATR”, you may use one of these scaling method that suits your trading strategy.
If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001.
And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed.
Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart.
Source: Closing price or High-Low prices can be chosen as data source for P&F charting.
Upper Band : as default, Upper band is 100
Lower Band : as default, Lower band is -100
There are alerts when P&F CCI moves above Upper Band or moves below Lower Band.
Double MA CCI"What is the Commodity Channel Index (CCI)?
Developed by Donald Lambert, the Commodity Channel Index (CCI) is a momentum-based oscillator used to help determine when an investment vehicle is reaching a condition of being overbought or oversold. It is also used to assess price trend direction and strength. This information allows traders to determine if they want to enter or exit a trade, refrain from taking a trade, or add to an existing position. In this way, the indicator can be used to provide trade signals when it acts in a certain way.
KEY TAKEAWAYS
• The CCI measures the difference between the current price and the historical average price.
• When the CCI is above zero it indicates the price is above the historic average. When CCI is below zero, the price is below the hsitoric average.
• High readings of 100 or above, for example, indicate the price is well above the historic average and the trend has been strong to the upside.
• Low readings below -100, for example, indicate the price is well below the historic average and the trend has been strong to the downside.
• Going from negative or near-zero readings to +100 can be used as a signal to watch for an emerging uptrend.
• Going from positive or near-zero readings to -100 may indicate an emerging downtrend.
• CCI is an unbounded indicator meaning it can go higher or lower indefinitely. For this reason, overbought and oversold levels are typically determined for each individual asset by looking at historical extreme CCI levels where the price reversed from." ----> 1
SOURCE
1: (SINCE IM NOT A "PRO" MEMBER I C'ANT POST THE SOUCRE URL..., webpage consulted at : 8:50 GMT -5 ; the 2020-01-18)
I- Added a 2nd MA length and changed the default values of the source type and switched the SMA to a MA.
II- In process to add analytic MACD histogram correlation and if possible, ploting a relative histogram between the CCI upper and lower band.
P.S.:
Don't set your moving averages lengths to far from each other... This could result in fewer convergence and divergence, also in fewer crossing MA's.
Have a good year 2020 !!
//----CODER----//
R.V.
Multi momentum indicatorScript contains couple momentum oscillators all in one pane
List of indicators:
RSI
Stochastic RSI
MACD
CCI
WaveTrend by LazyBear
MFI
Default active indicators are RSI and Stochastic RSI
Other indicators are disabled by default
RSI, StochRSI and MFI are modified to be bounded to range from 100 to -100. That's why overbought is 40 and 60 instead 70 and 80 while oversold -40 and -60 instead 30 and 20.
MACD and CCI as they are not bounded to 100 or 200 range, they are limited to 100 - -100 by default when activated (extras are simply hidden) but there is an option to show full indicator.
In settings there are couple more options like show crosses or show only histogram.
Default source for all indicators is close (except WaveTrend and MFI which use hlc3) and it could be changed but for all indicators.
There is an option for 2nd RSI which can be set for any timeframe and background calculated by Fibonacci levels.
Open Interest Rank-BuschiEnglish:
One part of the "Commitment of Traders-Report" is the Open Interest which is shown in this indicator (source: Quandl database).
Unlike my also published indicator "Open Interest-Buschi", the values here are not absolute but in a ranking system from 0 to 100 with individual time frames-
The following futures are included:
30-year Bonds (ZB)
10-year Notes ( ZN )
Soybeans (ZS)
Soybean Meal (ZM)
Soybean Oil (ZL)
Corn ( ZC )
Soft Red Winter Wheat (ZW)
Hard Red Winter Wheat (KE)
Lean Hogs (HE)
Live Cattle ( LE )
Gold ( GC )
Silver (SI)
Copper (HG)
Crude Oil ( CL )
Heating Oil (HO)
RBOB Gasoline ( RB )
Natural Gas ( NG )
Australian Dollar (A6)
British Pound (B6)
Canadian Dollar (D6)
Euro (E6)
Japanese Yen (J6)
Swiss Franc (S6)
Sugar ( SB )
Coffee (KC)
Cocoa ( CC )
Cotton ( CT )
S&P 500 E-Mini (ES)
Russell 2000 E-Mini (RTY)
Dow Jones Industrial Mini (YM)
Nasdaq 100 E-Mini (NQ)
Platin (PL)
Palladium (PA)
Aluminium (AUP)
Steel ( HRC )
Ethanol (AEZ)
Brent Crude Oil (J26)
Rice (ZR)
Oat (ZO)
Milk (DL)
Orange Juice (JO)
Lumber (LS)
Feeder Cattle (GF)
S&P 500 ( SP )
Dow Jones Industrial Average Index (DJIA)
New Zealand Dollar (N6)
Deutsch:
Ein Bestandteil des "Commitment of Traders-Report" ist das Open Interest, das in diesem Indikator dargestellt wird (Quelle: Quandl Datenbank).
Anders als in meinem ebenfalls veröffentlichten Indikator "Open Interest-Buschi" werden hier nicht die absoluten Werte dargestellt, sondern in einem Ranking-System von 0 bis 100 mit individuellen Zeitrahmen.
Folgende Futures sind enthalten:
30-jährige US-Staatsanleihen (ZB)
10-jährige US-Staatsanleihen ( ZN )
Sojabohnen(ZS)
Sojabohnen-Mehl (ZM)
Sojabohnen-Öl (ZL)
Mais( ZC )
Soft Red Winter-Weizen (ZW)
Hard Red Winter-Weizen (KE)
Magerschweine (HE)
Lebendrinder ( LE )
Gold ( GC )
Silber (SI)
Kupfer(HG)
Rohöl ( CL )
Heizöl (HO)
Benzin ( RB )
Erdgas ( NG )
Australischer Dollar (A6)
Britisches Pfund (B6)
Kanadischer Dollar (D6)
Euro (E6)
Japanischer Yen (J6)
Schweizer Franken (S6)
Zucker ( SB )
Kaffee (KC)
Kakao ( CC )
Baumwolle ( CT )
S&P 500 E-Mini (ES)
Russell 2000 E-Mini (RTY)
Dow Jones Industrial Mini (YM)
Nasdaq 100 E-Mini (NQ)
Platin (PL)
Palladium (PA)
Aluminium (AUP)
Stahl ( HRC )
Ethanol (AEZ)
Brent Rohöl (J26)
Reis (ZR)
Hafer (ZO)
Milch (DL)
Orangensaft (JO)
Holz (LS)
Mastrinder (GF)
S&P 500 ( SP )
Dow Jones Industrial Average Index (DJIA)
Neuseeland Dollar (N6)
Well Rounded Moving AverageIntroduction
There are tons of filters, way to many, and some of them are redundant in the sense they produce the same results as others. The task to find an optimal filter is still a big challenge among technical analysis and engineering, a good filter is the Kalman filter who is one of the more precise filters out there. The optimal filter theorem state that : The optimal estimator has the form of a linear observer , this in short mean that an optimal filter must use measurements of the inputs and outputs, and this is what does the Kalman filter. I have tried myself to Kalman filters with more or less success as well as understanding optimality by studying Linear–quadratic–Gaussian control, i failed to get a complete understanding of those subjects but today i present a moving average filter (WRMA) constructed with all the knowledge i have in control theory and who aim to provide a very well response to market price, this mean low lag for fast decision timing and low overshoots for better precision.
Construction
An good filter must use information about its output, this is what exponential smoothing is about, simple exponential smoothing (EMA) is close to a simple moving average and can be defined as :
output = output(1) + α(input - output(1))
where α (alpha) is a smoothing constant, typically equal to 2/(Period+1) for the EMA.
This approach can be further developed by introducing more smoothing constants and output control (See double/triple exponential smoothing - alpha-beta filter) .
The moving average i propose will use only one smoothing constant, and is described as follow :
a = nz(a ) + alpha*nz(A )
b = nz(b ) + alpha*nz(B )
y = ema(a + b,p1)
A = src - y
B = src - ema(y,p2)
The filter is divided into two components a and b (more terms can add more control/effects if chosen well) , a adjust itself to the output error and is responsive while b is independent of the output and is mainly smoother, adding those components together create an output y , A is the output error and B is the error of an exponential moving average.
Comparison
There are a lot of low-lag filters out there, but the overshoots they induce in order to reduce lag is not a great effect. The first comparison is with a least square moving average, a moving average who fit a line in a price window of period length .
Lsma in blue and WRMA in red with both length = 100 . The lsma is a bit smoother but induce terrible overshoots
ZLMA in blue and WRMA in red with both length = 100 . The lag difference between each moving average is really low while VWRMA is way more precise.
Hull MA in blue and WRMA in red with both length = 100 . The Hull MA have similar overshoots than the LSMA.
Reduced overshoots moving average (ROMA) in blue and WRMA in red with both length = 100 . ROMA is an indicator i have made to reduce the overshoots of a LSMA, but at the end WRMA still reduce way more the overshoots while being smoother and having similar lag.
I have added a smoother version, just activate the extra smooth option in the indicator settings window. Here the result with length = 200 :
This result is a little bit similar to a 2 order Butterworth filter. Our filter have more overshoots which in this case could be useful to reduce the error with edges since other low pass filters tend to smooth their amplitude thus reducing edge estimation precision.
Conclusions
I have presented a well rounded filter in term of smoothness/stability and reactivity. Try to add more terms to have different results, you could maybe end up with interesting results, if its the case share them with the community :)
As for control theory i have seen neural networks integrated to Kalman flters which leaded to great accuracy, AI is everywhere and promise to be a game a changer in real time data smoothing. So i asked myself if it was possible for a neural networks to develop pinescript indicators, if yes then i could be replaced by AI ? Brrr how frightening.
Thanks for reading :)
Quadruple Kaufman Adaptive Moving AverageFour Kaufman Adaptive Moving Averages in one script. Useful for identifying trends and setting points to add to positions / exit trades. KAMA's are great for keeping you in trending markets and avoiding sideways chops and ranges. Try them out by tweaking the fast/slow ma's and lengths to get the right set for your charts that removes the thinking about whether to be long or short and when to add to positions.
A suggested trading strategy is to tweak the ma's (often you'll want larger values) until they span the price action well on past trends. Then each time price action closes and crosses one of your KAMA lines is an opportunity to add to your position. Once all lines are cleared and you've loaded up your position, hopefully your average price of entry falls short of the highest KAMA line's value. Once this happens you don't need to get out the trade until such time as a price close crosses again that largest KAMA line. For eager profit takers, close positions once any KAMA line is crossed once you're successfully loaded up on a direction.
I use this script with a renko chart and values -> 26 length 6 fast ma 100 slow ma, 26 8 100, 26 10 100, 26 12 100 and it's good to see these moving averages, unlike regular moving averages, bend around choppy action that come when trends pause, keeping me successfully in winning trades. Give it a try.
cci based potential buy/sell signal
Commodity Channel Index Potential Buy Signal
Commodity Channel Index (CCI) is below oversold line (-200).
CCI then crosses above -100 line
Commodity Channel Index Potential Sell Signal
Commodity Channel Index (CCI) is above overbought line (+200).
CCI then crosses below +100 line.
Türkçe Açıklama;
CCI Potansiyel Al Sinyali
CCI indikatörünün -200 altında bulunduğu bölgeler aşırı satış bölgeleri,
Sonrasında aşağıdan gelerek -100 çizgisinin üzerine çıktığı yada çıkmak üzere olduğu noktalar al sinyali
CCI Potansiyel Satl Sinyali
CCI indikatörünün +200 üzerinde bulunduğu bölgeler aşırı alım bölgeleri,
Sonrasında yukarıdan inerek +100 çizgisinin altına indiği yada inmek üzere olduğu noktalar sat sinyali
Not: Tek başına kullanılması son derece hatalı sonuçlar verebilir. Sadece olabilirlik potansiyeli taşımaktadır.
Aroon Single Line This indicator converts double lined Aroon indicator into a single line oscillator.
It is simply obtained by subtracting Aroon down from Aroon Up.
*If Oscillator points 100 value, it means there is a Strong Uptrend.
*If Oscillator points values between 100 and 40, it means there is an uptrend.
*If Oscillator points values between 20 and -20, it means no trend, it is sideways.But, when it is sideways; generally, oscillator makes FLAT LINES
between 20 and -20 values. 0 value is pointed out when the trend is downward as well, which means aroon up=aroon down.
*If Oscillator points values between -40 and -100, it means there is a downtrend.
*If Oscillator points -100 value, it means there is a Strong downtrend.
(20, 40) and (-20, -40) intervals are not mentioned, because; generally these are transition values and hard to comment, it will be more certain to
wait till values are between or at the reference values given.
CCI 0Trend Strategy (by Marcoweb) v1.0Hi guys,
I am trying to create a strategy that consists in the crossover/under of the 0 line of the Commodity Channel Index . Every time the price crosses over the 0 line in the CCI the strategy has to long getting short on the cross under and viceversa.
I have published here another script strategy (consists in a crossover/under of the Overbought/Oversold levels of the CCI) that works so I could have the opportunity to share with you the main idea that as per now is mistaken:
//@version=2
strategy(title="CCI 0Trend Strategy (by Marcoweb) v1.0", shorttitle="CCI_0T_Stra_v1.0", overlay=true)
///////////// CCI
length = input(20, minval=1)
src = input(close, title="Source")
ma = sma(src, length)
cci = (src - ma) / (0.015 * dev(src, length))
plot(cci, color=black)
band1 = hline(100, color=blue, linestyle=solid)
band0 = hline(-100, color=red, linestyle=solid)
bandl = hline(0, color=orange, linestyle=solid)
fill(band1, band0, color=olive)
p1 = plot(band0, color=red,title="-100")
p2 = plot(band1, color=blue,title="100")
p3 = plot(bandl, color=orange,title="0")
///////////// CCI 0Trend Strategy (by Marcoweb) v1.0 Strategy
if (not na(cci))
if (crossover(cci, bandl)
strategy.entry("CCI_L", strategy.long, stop=bandl, oca_type=strategy.oca.cancel, comment="CCI_L")
else
strategy.cancel(id="CCI_L")
if (crossunder(cci, bandl)
strategy.entry("CCI_S", strategy.short, stop=bandl, oca_type=strategy.oca.cancel, comment="CCI_S")
else
strategy.cancel(id="CCI_S")
//plot(strategy.equity, title="equity", color=red, linewidth=2, style=areabr)
With this coding I get the error : line 24 (if (crossover(cci, bandl): mismatched input '|E|' expecting RPAR
Hope you like the idea ;)
How to automate this strategy for free using a chrome extension.Hey everyone,
Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep.
Step 1:
You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol)
Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert.
Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please.
This following script is for the custom alerts:
//@version=2
study("4All-Alert", shorttitle="Alerts")
src = close
len = input(4, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(5)
sn = 100 - rsin
ln = 0 + rsin
short = crossover(rsi, sn) ? 1 : 0
long = crossunder(rsi, ln) ? 1 : 0
plot(long, "Long", color=green)
plot(short, "Short", color=red)
Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts.
To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com
For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close.
In the message for a long place this as your message:
Long
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=13 sl=25
and for the short...
Short
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=13 sl=25
If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all.
I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView.
ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts.
There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided.
Best of luck and happy trading.
Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links.
www.okcoin.com
1broker.com
Indicator: Trend Trigger FactorIntroduced by M.H.Pee, Trend Trigger Factor is designed to keep the trader trading with the trend.
System rules according to the developer:
* If the 15-day TTF is above 100 (indicating an uptrend), you will want to be in long positions.
* If the 15-day TTF is below -100, you will want to be short.
* If it is between -100 and 100, you should remain with the current position.
More info:
Original Article by Mr.Pee: drive.google.com
RSI with Zone Colors//@version=6
indicator(title="RSI with Zone Colors", shorttitle="RSI+", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
//// ==== INPUT SETTINGS ====
rsiLength = input.int(14, title="RSI Length", minval=1)
source = input.source(close, title="Source")
ob_level = input.int(70, title="Overbought Level")
os_level = input.int(30, title="Oversold Level")
//// ==== RSI CALCULATION ====
change = ta.change(source)
up = ta.ma(math.max(change, 0), rsiLength)
down = ta.ma(-math.min(change, 0), rsiLength)
rsi = down == 0 ? 100 : 100 - (100 / (1 + up / down))
//// ==== COLOR BASED ON ZONES ====
rsiColor = rsi > ob_level ? color.red : rsi < os_level ? color.green : #2962FF
//// ==== PLOT RSI ====
plot(rsi, title="RSI", color=rsiColor, linewidth=2)
//// ==== ZONE LINES ====
hline(ob_level, "Overbought", color=#787B86)
hline(50, "Middle", color=color.new(#787B86, 50))
hline(os_level, "Oversold", color=#787B86)
//// ==== FILL ZONES ====
zoneColor = rsi > ob_level ? color.new(color.red, 85) : rsi < os_level ? color.new(color.green, 85) : na
fill(plot(ob_level, display=display.none), plot(rsi > ob_level ? rsi : ob_level, display=display.none), color=zoneColor, title="OB Fill")
fill(plot(os_level, display=display.none), plot(rsi < os_level ? rsi : os_level, display=display.none), color=zoneColor, title="OS Fill")
//// ==== COLOR CANDLE WHEN RSI IN ZONE ====
barcolor(rsi > ob_level ? color.red : rsi < os_level ? color.green : na)
MTF EMA Trading SystemHere's a comprehensive description and usage guide for publishing your MTF EMA Trading System indicator on TradingView:
MTF EMA Trading System - Pro Edition
📊 Indicator Overview
The MTF EMA Trading System is an advanced multi-timeframe exponential moving average indicator designed for traders seeking high-probability setups with multiple confirmations. Unlike simple EMA crossover systems, this indicator combines trend alignment, momentum, volume analysis, and previous day confluence to generate reliable long and short signals with optimal risk-reward ratios.
✨ Key Features
1. Multi-Timeframe EMA Analysis
Configure 5 independent EMAs (default: 9, 21, 50, 100, 200)
Each EMA can pull data from ANY timeframe (5m, 15m, 1H, 4H, 1D, etc.)
Color-coded lines with customizable widths
End-of-line labels showing EMA period and timeframe (e.g., "EMA200 ")
Perfect for analyzing higher timeframe trends on lower timeframe charts
2. Advanced Signal Generation (Beyond Simple Crosses)
The system requires MULTIPLE confirmations before generating a signal:
LONG Signals Require:
✅ Price action trigger (EMA cross, bounce from key EMA, or pullback setup)
✅ Bullish EMA alignment (EMAs in proper ascending order)
✅ Volume spike confirmation (configurable threshold)
✅ RSI momentum confirmation (bullish but not overbought)
✅ Sufficient EMA separation (avoids choppy/whipsaw conditions)
✅ Price above previous day's low (confluence with support)
SHORT Signals Require:
✅ Price action trigger (EMA cross, rejection from key EMA, or pullback setup)
✅ Bearish EMA alignment (EMAs in proper descending order)
✅ Volume spike confirmation
✅ RSI momentum confirmation (bearish but not oversold)
✅ Sufficient EMA separation
✅ Price below previous day's high (confluence with resistance)
3. Real-Time Dashboard
Displays critical market conditions at a glance:
Overall trend direction (Bullish/Bearish/Neutral)
Price position relative to all EMAs
Volume status (spike or normal)
RSI momentum reading
EMA confluence strength
EMA separation quality
Current ATR value
Previous day high/low levels
Current signal status (LONG/SHORT/WAIT)
Risk-reward ratio
4. Clean Visual Design
Large, clear trade signal markers (green triangles for LONG, red triangles for SHORT)
No chart clutter - only essential information displayed
Customizable signal sizes
Professional color-coded dashboard
5. Built-In Risk Management
ATR-based calculations for stop loss placement
1:2 risk-reward ratio by default
All levels displayed in dashboard for easy reference
🎯 How to Use This Indicator
Step 1: Initial Setup
Add the indicator to your TradingView chart
Configure your preferred timeframes for each EMA:
EMA 9: Leave blank (uses chart timeframe) - Fast reaction to price
EMA 21: Leave blank or set to 15m - Key pivot level
EMA 50: Set to 1H - Intermediate trend
EMA 100: Set to 4H - Major trend filter
EMA 200: Set to 1D - Overall market bias
Adjust signal settings based on your trading style:
Conservative: Keep all confirmations enabled
Aggressive: Disable volume or momentum requirements
Scalping: Reduce min EMA separation to 0.2-0.3%
Step 2: Reading the Dashboard
Before taking any trade, check the dashboard:
Trend: Only take LONG signals in bullish trends, SHORT signals in bearish trends
Position: Confirm price is on the correct side of EMAs
Volume: Green spike = strong confirmation
RSI: Avoid extremes (>70 or <30)
Confluence: "Strong" = high probability setup
Separation: "Good" = trending market, avoid "Low" separation
Step 3: Trade Entry
For LONG Trades:
Wait for green triangle to appear below price
Verify dashboard shows:
Bullish or Neutral trend
Volume spike (preferred)
RSI between 50-70
Good separation
Enter at market or on next bar
Set stop loss at: Entry - (ATR × 2)
Set target at: Entry + (ATR × 4)
For SHORT Trades:
Wait for red triangle to appear above price
Verify dashboard shows:
Bearish or Neutral trend
Volume spike (preferred)
RSI between 30-50
Good separation
Enter at market or on next bar
Set stop loss at: Entry + (ATR × 2)
Set target at: Entry - (ATR × 4)
Step 4: Trade Management
Use the ATR values from dashboard for position sizing
Trail stops using the fastest EMA (EMA 9) as price moves in your favor
Exit partial position at 1:1 risk-reward, let remainder run to target
Exit immediately if dashboard trend changes against your position
💡 Best Practices
Timeframe Recommendations:
Scalping: 1m-5m chart with 5m, 15m, 1H, 4H, 1D EMAs
Day Trading: 5m-15m chart with 15m, 1H, 4H, 1D EMAs
Swing Trading: 1H-4H chart with 4H, 1D, 1W EMAs
Position Trading: 1D chart with 1D, 1W, 1M EMAs
Market Conditions:
Best in: Trending markets with clear direction
Avoid: Tight consolidation, low volume periods, major news events
Filter trades: Only take signals aligned with higher timeframe trend
Risk Management:
Never risk more than 1-2% per trade
Use ATR from dashboard to calculate position size
Respect the stop loss levels
Don't force trades when dashboard shows weak conditions
⚙️ Customization Options
EMA Settings (for each of 5 EMAs):
Length (period)
Timeframe (multi-timeframe capability)
Color
Line width
Show/hide toggle
Signal Settings:
Volume confirmation (on/off)
Volume spike threshold (1.0-3.0x)
Momentum confirmation (on/off)
RSI overbought/oversold levels
Minimum EMA separation percentage
ATR period and stop multiplier
Display Settings:
Show/hide EMA labels
Show/hide trade signals
Signal marker size (tiny/small/normal/large)
Show/hide dashboard
🔔 Alert Setup
The indicator includes 4 alert conditions:
LONG Signal - Fires when all long confirmations are met
SHORT Signal - Fires when all short confirmations are met
Bullish Setup - Early warning when trend aligns bullish with volume
Bearish Setup - Early warning when trend aligns bearish with volume
To set up alerts:
Right-click on chart → Add Alert
Select "MTF EMA Trading System"
Choose your desired alert condition
Configure notification method (popup, email, SMS, webhook)
📈 Performance Tips
Increase Win Rate:
Only trade in direction of higher timeframe trend
Wait for volume spike confirmation
Avoid trades during first 30 minutes and last 15 minutes of session
Skip trades when separation is "Low"
Reduce False Signals:
Increase minimum EMA separation to 0.7-1.0%
Enable all confirmation requirements
Only trade when confluence shows "Strong"
Combine with support/resistance levels
Optimize for Your Market:
Stocks: Use 9, 21, 50, 100, 200 EMAs
Forex: Consider 8, 13, 21, 55, 89 EMAs (Fibonacci)
Crypto: May need wider ATR multiplier (2.5-3.0x) for volatility
⚠️ Important Notes
This indicator is designed to reduce false signals by requiring multiple confirmations
No indicator is 100% accurate - always use proper risk management
Backtesting recommended before live trading
Market conditions change - adjust settings as needed
Works best in liquid markets with clear price action
🎓 Conclusion
The MTF EMA Trading System transforms simple moving average analysis into a sophisticated, multi-confirmation trading strategy. By combining trend alignment, momentum, volume, and confluence, it helps traders identify high-probability setups while filtering out noise and false signals. The clean interface and comprehensive dashboard make it suitable for both beginners and experienced traders across all markets and timeframes.
Moving Averages DTMoving Averages Combo: SMA 30-50-100-200 + EMA 5-8-21 (Golden & Death Cross Ready)
This clean and lightweight indicator plots the most used simple and exponential moving averages in one single script — perfect for swing traders, position traders, and scalpers.
— Simple Moving Averages (Daily timeframe focus):
• SMA 30 (Red) — Early trend detection
• SMA 50 (Blue) — Classic medium-term trend
• SMA 100 (Green) — Institutional reference
• SMA 200 (Orange) — The legendary Golden/Death Cross line
— Fast Exponential Moving Averages (Perfect for pullbacks & entries):
• EMA 5 (Purple) — Ultra-fast reaction
• EMA 8 (Yellow) — Fibonacci-based favorite
• EMA 21 (Black) — 21-day cycle + Fibonacci
Why this combination works so well:
• EMA 8 + EMA 21 = Powerful short-term trend filter (used by thousands of crypto & forex traders)
• SMA 50/200 = Classic Golden & Death Cross signals
• SMA 30/100 = Extra confirmation layers used by banks and funds
Features:
✓ All MAs on a single indicator (no chart clutter)
✓ Clean colors with perfect contrast on light/dark themes
✓ Ready for alerts: set alert on EMA 8 crossing EMA 21 or SMA 50 crossing SMA 200
✓ Works on all markets & timeframes (stocks, forex, crypto, futures)
How to use:
• Bullish signal: Price above SMA 200 + EMA 8 > EMA 21 + SMA 50 > SMA 200
• Bearish signal: Price below SMA 200 + EMA 8 < EMA 21
• Pullback entries: Wait for price to touch EMA 21 in uptrend
ICT Killzones & FVG// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Mutharasan12
//@version=5
indicator("ICT Killzones & FVG", "ICT Killzones & FVG", overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
// ---------------------------------------- Constant Functions --------------------------------------------------
get_line_type(_style) =>
result = switch _style
'Solid' => line.style_solid
'Dotted' => line.style_dotted
'Dashed' => line.style_dashed
result
get_size(x) =>
result = switch x
'Auto' => size.auto
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
'Large' => size.large
'Huge' => size.huge
get_table_pos(pos) =>
result = switch pos
"Bottom Center" => position.bottom_center
"Bottom Left" => position.bottom_left
"Bottom Right" => position.bottom_right
"Middle Center" => position.middle_center
"Middle Left" => position.middle_left
"Middle Right" => position.middle_right
"Top Center" => position.top_center
"Top Left" => position.top_left
"Top Right" => position.top_right
get_font_style(s) =>
result = switch s
'Monospace' => font.family_monospace
'Default' => font.family_default
// ---------------------------------------- Constant Functions --------------------------------------------------
// ---------------------------------------- Inputs --------------------------------------------------
gmt_tz = input.string('America/New_York', "Timezone", options = , tooltip = "Note GMT is not adjusted to reflect Daylight Saving Time changes", group = 'Time Zone')
DWM_profile = input.bool(true,"Show All Profile",inline="Show",group = 'Profile')
D_profile = input.bool(true,"Show Daily",inline = "Show",group = 'Profile')
hide_lines_DO = input.timeframe("60","Daily:",inline = "Hide",group = 'Hide Above')
W_profile = input.bool(true,"Weekly",inline="Show",group = 'Profile')
hide_lines_WO = input.timeframe("240","Weekly:",inline="Hide",group = 'Hide Above')
M_profile = input.bool(true,"Monthly",inline="Show",group = 'Profile')
hide_lines_MO = input.timeframe("1D","Monthly:",inline="Hide",group = 'Hide Above')
show_kz = input.bool(false, "Show Killzone Boxes", inline = "skz", group = 'Hide KillZone')
var g_SETTINGS = "Settings"
max_days = input.int(60, "Drawing Limit", 1, inline = 'dl', tooltip = "Only this many drawings will be kept on the chart, for each selected drawing type (killzone boxes, pivot lines, open lines, etc.)", group = g_SETTINGS)
tf_limit = input.timeframe("30", "Timeframe Limit", inline = 'dl', tooltip = "Drawings will not appear on timeframes greater than or equal to this", group = g_SETTINGS)
lbl_size = get_size(input.string('Tiny', "Label Size", inline = 'sc', options = , tooltip = "The size of all labels", group = g_SETTINGS))
font_style = get_font_style(input.string('Monospace', "Font Style", inline = 'sc', group = g_SETTINGS, options = ))
txt_color = input.color(#000000, "Text Color", inline = 'sc', tooltip = "The color of all label and table text", group = g_SETTINGS)
use_cutoff = input.bool(true, "Drawing Cutoff Time", inline = "CO", tooltip = "When enabled, all pivots and open price lines will stop extending at this time", group = g_SETTINGS)
cutoff = input.session("1700-1701", "", inline = "CO", group = g_SETTINGS)
var g_KZ = "Killzones"
show_kz_text = input.bool(false, "Display Text", inline = "KZ", group = g_KZ)
box_transparency = input.int(85, "Box Transparency", 0, 100, group = g_KZ)
text_transparency = input.int(50, "Text Transparency", 0, 100, group = g_KZ)
use_asia = input.bool(true, "", inline = "ASIA", group = g_KZ)
as_txt = input.string("ASIA", "", inline = "ASIA", group = g_KZ)
asia = input.session("2000-0000", "", inline = "ASIA", group = g_KZ)
as_color = input.color(#9598a1, "", inline = "ASIA", group = g_KZ)
use_london = input.bool(true, "", inline = "LONDON", group = g_KZ)
lo_txt = input.string("OPEN", "", inline = "LONDON", group = g_KZ)
london = input.session("0200-0500", "", inline = "LONDON", group = g_KZ)
lo_color = input.color(#9598a1, "", inline = "LONDON", group = g_KZ)
use_nyam = input.bool(true, "", inline = "NYAM", group = g_KZ)
na_txt = input.string("NYAM", "", inline = "NYAM", group = g_KZ)
nyam = input.session("0700-1000", "", inline = "NYAM", group = g_KZ)
na_color = input.color(#9598a1, "", inline = "NYAM", group = g_KZ)
use_nylu = input.bool(false, "", inline = "NYLU", group = g_KZ)
nl_txt = input.string("Lunch", "", inline = "NYLU", group = g_KZ)
nylu = input.session("1200-1300", "", inline = "NYLU", group = g_KZ)
nl_color = input.color(#9598a1, "", inline = "NYLU", group = g_KZ)
use_nypm = input.bool(false, "", inline = "NYPM", group = g_KZ)
np_txt = input.string("NYPM", "", inline = "NYPM", group = g_KZ)
nypm = input.session("1300-1600", "", inline = "NYPM", group = g_KZ)
np_color = input.color(#9598a1, "", inline = "NYPM", group = g_KZ)
use_loop = input.bool(true, "", inline = "LOOP", group = g_KZ)
op_txt = input.string("CBDR", "", inline = "LOOP", group = g_KZ)
loop = input.session("1400-2000", "", inline = "LOOP", group = g_KZ)
op_color = input.color(#9598a1, "", inline = "LOOP", group = g_KZ)
use_locl = input.bool(true, "", inline = "LOCL", group = g_KZ)
cl_txt = input.string("CLOSE", "", inline = "LOCL", group = g_KZ)
locl = input.session("1000-1200", "", inline = "LOCL", group = g_KZ)
cl_color = input.color(#9598a1, "", inline = "LOCL", group = g_KZ)
use_sb1 = input.bool(false, "", inline = "SB1", group = g_KZ)
m1_txt = input.string("London SB", "", inline = "SB1", group = g_KZ)
sb1 = input.session("0300-0400", "", inline = "SB1", group = g_KZ)
m1_color = input.color(#9598a1, "", inline = "SB1", group = g_KZ)
use_sb2 = input.bool(false, "", inline = "SB2", group = g_KZ)
m2_txt = input.string("NewYork AM SB", "", inline = "SB2", group = g_KZ)
sb2 = input.session("1000-1100", "", inline = "SB2", group = g_KZ)
m2_color = input.color(#9598a1, "", inline = "SB2", group = g_KZ)
use_sb3 = input.bool(false, "", inline = "SB3", group = g_KZ)
m3_txt = input.string("NewYork PM SB", "", inline = "SB3", group = g_KZ)
sb3 = input.session("1400-1500", "", inline = "SB3", group = g_KZ)
m3_color = input.color(#9598a1, "", inline = "SB3", group = g_KZ)
var g_LABELS = "Killzone Pivots"
use_alerts = input.bool(false, "Alert Broken Pivots", inline = "PV", group = g_LABELS)
show_pivots = input.bool(false, "Show Pivots", inline = "SV", group = g_LABELS)
show_labels = input.bool(false, "Pivots Labels", inline = "SV", group = g_LABELS)
show_midpoints = input.bool(false, "Pivots Midpoints",inline = "SV", group = g_LABELS)
ext_pivots = input.string("Until Mitigated", "Extend Pivots...", options = , group = g_LABELS)
ext_which = input.string("Most Recent", "...From Which Sessions", options = , group = g_LABELS)
ash_str = input.string("AS.H", "Killzone 01 Labels", inline = "L_AS", group = g_LABELS)
asl_str = input.string("AS.L", "", inline = "L_AS", group = g_LABELS)
loh_str = input.string("LO.H", "Killzone 02 Labels", inline = "L_LO", group = g_LABELS)
lol_str = input.string("LO.L", "", inline = "L_LO", group = g_LABELS)
nah_str = input.string("NYAM.H", "Killzone 03 Labels", inline = "L_NA", group = g_LABELS)
nal_str = input.string("NYAM.L", "", inline = "L_NA", group = g_LABELS)
nlh_str = input.string("NYL.H", "Killzone 04 Labels", inline = "L_NL", group = g_LABELS)
nll_str = input.string("NYL.L", "", inline = "L_NL", group = g_LABELS)
nph_str = input.string("NYPM.H", "Killzone 05 Labels", inline = "L_NP", group = g_LABELS)
npl_str = input.string("NYPM.L", "", inline = "L_NP", group = g_LABELS)
oph_str = input.string("LOOP.H", "Killzone 06 Labels", inline = "L_OP", group = g_LABELS)
opl_str = input.string("LOOP.L", "", inline = "L_OP", group = g_LABELS)
clh_str = input.string("LOCL.H", "Killzone 07 Labels", inline = "L_CL", group = g_LABELS)
cll_str = input.string("LOCL.L", "", inline = "L_CL", group = g_LABELS)
m1h_str = input.string("SB1.H", "Killzone 08 Labels", inline = "L_M1", group = g_LABELS)
m1l_str = input.string("SB1.L", "", inline = "L_M1", group = g_LABELS)
m2h_str = input.string("SB2.H", "Killzone 09 Labels", inline = "L_M2", group = g_LABELS)
m2l_str = input.string("SB2.L", "", inline = "L_M2", group = g_LABELS)
m3h_str = input.string("SB3.H", "Killzone 10 Labels", inline = "L_M3", group = g_LABELS)
m3l_str = input.string("SB3.L", "", inline = "L_M3", group = g_LABELS)
kzp_style = get_line_type(input.string(defval = 'Solid', title = "Pivot Style", options = , inline = "KZP", group = g_LABELS))
kzp_width = input.int(1, "", inline = "KZP", group = g_LABELS)
kzm_style = get_line_type(input.string(defval = 'Dotted', title = "Midpoint Style", options = , inline = "KZM", group = g_LABELS))
kzm_width = input.int(1, "", inline = "KZM", group = g_LABELS)
var g_RNG = "Killzone Range"
show_range = input.bool(false, "Show Killzone Range", tooltip = "Show the most recent ranges of each selected killzone, from high to low", group = g_RNG)
show_range_avg = input.bool(true, "Show Average", tooltip = "Show the average range of each selected killzone", group = g_RNG)
range_avg = input.int(5, "Average Length", 0, tooltip = "This many previous sessions will be used to calculate the average. If there isn't enough data on the current chart, it will use as many sessions as possible", group = g_RNG)
range_pos = get_table_pos(input.string('Top Right', "Table Position", options = , group = g_RNG))
range_size = get_size(input.string('Normal', "Table Size", options = , group = g_RNG))
var g_DWM = "Day - Week - Month"
dow_labels = input.bool(false, "Day of Week Labels", inline = "DOW", group = g_DWM)
dow_yloc = input.string('Bottom', "", options = , inline = "DOW", group = g_DWM)
dow_xloc = input.string('Midnight', "", options = , inline = "DOW", group = g_DWM)
sep_unlimited = input.bool(true, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_DWM)
show_d_open = input.bool(true, "D Open", inline = "DO", group = g_DWM)
dhl = input.bool(true, "High/Low", inline = "DO", tooltip = "", group = g_DWM)
ds = input.bool(true, "Separators", inline = "DO", tooltip = "Mark where a new day begins", group = g_DWM)
d_color = input.color(color.blue, "", inline = "DO", group = g_DWM)
show_w_open = input.bool(true, "W Open", inline = "WO", group = g_DWM)
whl = input.bool(true, "High/Low", inline = "WO", tooltip = "", group = g_DWM)
ws = input.bool(true, "Separators", inline = "WO", tooltip = "Mark where a new week begins", group = g_DWM)
w_color = input.color(#089981, "", inline = "WO", group = g_DWM)
show_m_open = input.bool(true, "M Open", inline = "MO", group = g_DWM)
mhl = input.bool(true, "High/Low", inline = "MO", tooltip = "", group = g_DWM)
ms = input.bool(true, "Separators", inline = "MO", tooltip = "Mark where a new month begins", group = g_DWM)
m_color = input.color(color.red, "", inline = "MO", group = g_DWM)
htf_style = get_line_type(input.string(defval = 'Dotted', title = "Style", options = , inline = "D0", group = g_DWM))
htf_width = input.int(1, "", inline = "D0", group = g_DWM)
var g_OPEN = "Opening Prices"
open_unlimited = input.bool(true, "Unlimited", tooltip = "Unlimited will show as many of the selected lines as possible. Otherwise, the session drawing limit will be used", group = g_OPEN)
hide_hline = input.bool(true,"Show Opening Price",group = g_OPEN)
hide_lines_h = input.timeframe("60","Hide Above Time Frame",group = g_OPEN)
use_h1 = input.bool(true, "", inline = "H1", group = g_OPEN)
h1_text = input.string("00:00", "", inline = "H1", group = g_OPEN)
h1 = input.session("0000-0001", "", inline = "H1", group = g_OPEN)
h1_color = input.color(#000000, "", inline = "H1", group = g_OPEN)
use_h2 = input.bool(true, "", inline = "H2", group = g_OPEN)
h2_text = input.string("08:30", "", inline = "H2", group = g_OPEN)
h2 = input.session("0830-0831", "", inline = "H2", group = g_OPEN)
h2_color = input.color(#000000, "", inline = "H2", group = g_OPEN)
use_h3 = input.bool(false, "", inline = "H3", group = g_OPEN)
h3_text = input.string("10:00", "", inline = "H3", group = g_OPEN)
h3 = input.session("1000-1001", "", inline = "H3", group = g_OPEN)
h3_color = input.color(#000000, "", inline = "H3", group = g_OPEN)
use_h4 = input.bool(false, "", inline = "H4", group = g_OPEN)
h4_text = input.string("14:00", "", inline = "H4", group = g_OPEN)
h4 = input.session("1400-1401", "", inline = "H4", group = g_OPEN)
h4_color = input.color(#000000, "", inline = "H4", group = g_OPEN)
hz_style = get_line_type(input.string(defval = 'Dotted', title = "Style", options = , inline = "H0", group = g_OPEN))
hz_width = input.int(1, "", inline = "H0", group = g_OPEN)
var g_VERTICAL = "Timestamps"
hide_vline = input.bool(true,"Show Timestamp",group = g_VERTICAL)
hide_lines_v = input.timeframe("60","Hide Above Time Frame",group = g_VERTICAL)
use_v1 = input.bool(true, "", inline = "V1", group = g_VERTICAL)
v1 = input.session("0000-0001", "", inline = "V1", group = g_VERTICAL)
v1_color = input.color(#000000, "", inline = "V1", group = g_VERTICAL)
use_v2 = input.bool(false, "", inline = "V2", group = g_VERTICAL)
v2 = input.session("0800-0801", "", inline = "V2", group = g_VERTICAL)
v2_color = input.color(#000000, "", inline = "V2", group = g_VERTICAL)
use_v3 = input.bool(false, "", inline = "V3", group = g_VERTICAL)
v3 = input.session("1000-1001", "", inline = "V3", group = g_VERTICAL)
v3_color = input.color(#000000, "", inline = "V3", group = g_VERTICAL)
use_v4 = input.bool(false, "", inline = "V4", group = g_VERTICAL)
v4 = input.session("1200-1201", "", inline = "V4", group = g_VERTICAL)
v4_color = input.color(#000000, "", inline = "V4", group = g_VERTICAL)
vl_style = get_line_type(input.string(defval = 'Dotted', title = "Style", options = , inline = "V0", group = g_VERTICAL))
vl_width = input.int(1, "", inline = "V0", group = g_VERTICAL)
// ---------------------------------------- Inputs --------------------------------------------------
// ---------------------------------------- Variables & Constants --------------------------------------------------
type kz
string _title
box _box
line _hi_line
line _md_line
line _lo_line
label _hi_label
label _lo_label
bool _hi_valid
bool _md_valid
bool _lo_valid
float _range_store
float _range_current
type hz
line LN
label LB
bool CO
type dwm_hl
line hi_line
line lo_line
label hi_label
label lo_label
type dwm_info
string tf
float o = na
float h = na
float l = na
float ph = na
float pl = na
var as_kz = kz.new(as_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var lo_kz = kz.new(lo_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var na_kz = kz.new(na_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var nl_kz = kz.new(nl_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var np_kz = kz.new(np_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var op_kz = kz.new(op_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var cl_kz = kz.new(cl_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var m1_kz = kz.new(m1_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var m2_kz = kz.new(m2_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var m3_kz = kz.new(m3_txt, array.new_box(), array.new_line(), array.new_line(), array.new_line(), array.new_label(), array.new_label(), array.new_bool(), array.new_bool(), array.new_bool(), array.new_float())
var hz_1 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var hz_2 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var hz_3 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var hz_4 = hz.new(array.new_line(), array.new_label(), array.new_bool())
var d_hl = dwm_hl.new(array.new_line(), array.new_line(), array.new_label(), array.new_label())
var w_hl = dwm_hl.new(array.new_line(), array.new_line(), array.new_label(), array.new_label())
var m_hl = dwm_hl.new(array.new_line(), array.new_line(), array.new_label(), array.new_label())
var d_info = dwm_info.new("D")
var w_info = dwm_info.new("W")
var m_info = dwm_info.new("M")
t_as = not na(time("", asia, gmt_tz))
t_lo = not na(time("", london, gmt_tz))
t_na = not na(time("", nyam, gmt_tz))
t_nl = not na(time("", nylu, gmt_tz))
t_np = not na(time("", nypm, gmt_tz))
t_op = not na(time("", loop, gmt_tz))
t_cl = not na(time("", locl, gmt_tz))
t_m1 = not na(time("", sb1, gmt_tz))
t_m2 = not na(time("", sb2, gmt_tz))
t_m3 = not na(time("", sb3, gmt_tz))
t_co = not na(time("", cutoff, gmt_tz))
t_h1 = not na(time("", h1, gmt_tz))
t_h2 = not na(time("", h2, gmt_tz))
t_h3 = not na(time("", h3, gmt_tz))
t_h4 = not na(time("", h4, gmt_tz))
t_v1 = not na(time("", v1, gmt_tz))
t_v2 = not na(time("", v2, gmt_tz))
t_v3 = not na(time("", v3, gmt_tz))
t_v4 = not na(time("", v4, gmt_tz))
var d_sep_line = array.new_line()
var w_sep_line = array.new_line()
var m_sep_line = array.new_line()
var d_line = array.new_line()
var w_line = array.new_line()
var m_line = array.new_line()
var d_label = array.new_label()
var w_label = array.new_label()
var m_label = array.new_label()
var v1_line = array.new_line()
var v2_line = array.new_line()
var v3_line = array.new_line()
var v4_line = array.new_line()
var transparent = #ffffff00
var ext_current = ext_which == 'Most Recent'
var ext_past = ext_pivots == 'Past Mitigation'
update_dwm_info(dwm_info n) =>
if timeframe.change(n.tf)
n.ph := n.h
n.pl := n.l
n.o := open
n.h := high
n.l := low
else
n.h := math.max(high, n.h)
n.l := math.min(low, n.l)
if dhl or show_d_open
update_dwm_info(d_info)
if whl or show_w_open
update_dwm_info(w_info)
if mhl or show_m_open
update_dwm_info(m_info)
// ---------------------------------------- Variables & Constants --------------------------------------------------
// ---------------------------------------- Functions --------------------------------------------------
get_box_color(color c) =>
result = color.new(c, box_transparency)
get_text_color(color c) =>
result = color.new(c, text_transparency)
// ---------------------------------------- Functions --------------------------------------------------
// ---------------------------------------- Core Logic --------------------------------------------------
dwm_sep(string tf, bool use, line arr, color col) =>
if use
if timeframe.change(tf)
arr.unshift(line.new(bar_index, high*1.0001, bar_index, low, style = htf_style, width = htf_width, extend = extend.both, color = col))
if not sep_unlimited and arr.size() > max_days
arr.pop().delete()
dwm_open(string tf, bool use, line lns, label lbls, dwm_info n, color col) =>
if use
if timeframe.change(tf)
lns.unshift(line.new(time, n.o, time, n.o, xloc = xloc.bar_time, style = htf_style, width = htf_width, color = col))
lbls.unshift(label.new(time, n.o, tf + " OPEN", xloc = xloc.bar_time, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
if not sep_unlimited and lns.size() > max_days
lns.pop().delete()
lbls.pop().delete()
else if lns.size() > 0
lns.get(0).set_x2(time)
lbls.get(0).set_x(time)
dwm_hl(string tf, bool use, dwm_hl hl, dwm_info n, color col) =>
if use
if timeframe.change(tf)
hl.hi_line.unshift(line.new(time, n.ph, time, n.ph, xloc = xloc.bar_time, style = htf_style, width = htf_width, color = col))
hl.lo_line.unshift(line.new(time, n.pl, time, n.pl, xloc = xloc.bar_time, style = htf_style, width = htf_width, color = col))
hl.hi_label.unshift(label.new(time, n.ph, "P"+tf+"H", xloc = xloc.bar_time, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
hl.lo_label.unshift(label.new(time, n.pl, "P"+tf+"L", xloc = xloc.bar_time, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
if not sep_unlimited and hl.hi_line.size() > max_days
hl.hi_line.pop().delete()
hl.lo_line.pop().delete()
hl.hi_label.pop().delete()
hl.lo_label.pop().delete()
else if hl.hi_line.size() > 0
hl.hi_line.get(0).set_x2(time)
hl.lo_line.get(0).set_x2(time)
hl.hi_label.get(0).set_x(time)
hl.lo_label.get(0).set_x(time)
dwm() =>
//if timeframe.in_seconds() <= hide_lines_sessions *60
if DWM_profile
if D_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_DO)
// Draw Daily separators, open lines, and high/low lines
dwm_sep("D", ds, d_sep_line, d_color)
dwm_open("D", show_d_open, d_line, d_label, d_info, d_color)
dwm_hl("D", dhl, d_hl, d_info, d_color)
// Draw Weekly and Monthly only if Daily profile allows it
if W_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_WO)
dwm_sep("W", ws, w_sep_line, w_color)
dwm_open("W", show_w_open, w_line, w_label, w_info, w_color)
dwm_hl("W", whl, w_hl, w_info, w_color)
if M_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_MO)
dwm_sep("M", ms, m_sep_line, m_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
else if W_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_WO)
// Draw Weekly separators, open lines, and high/low lines
dwm_sep("W", ws, w_sep_line, w_color)
dwm_open("W", show_w_open, w_line, w_label, w_info, w_color)
dwm_hl("W", whl, w_hl, w_info, w_color)
// Draw Monthly only if Weekly profile allows it
if M_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_MO)
dwm_sep("M", ms, m_sep_line, m_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
else if M_profile and timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_MO)
// Draw Monthly separators, open lines, and high/low lines
dwm_sep("M", ms, m_sep_line, m_color)
dwm_open("M", show_m_open, m_line, m_label, m_info, m_color)
dwm_hl("M", mhl, m_hl, m_info, m_color)
vline(bool use, bool t, line arr, color col) =>
if use
if t and not t
arr.unshift(line.new(bar_index, high*1.0001, bar_index, low, style = vl_style, width = vl_width, extend = extend.both, color = col))
vlines() =>
if hide_vline
if timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_v)
vline(use_v1, t_v1, v1_line, v1_color)
vline(use_v2, t_v2, v2_line, v2_color)
vline(use_v3, t_v3, v3_line, v3_color)
vline(use_v4, t_v4, v4_line, v4_color)
hz_line(bool use, bool t, hz hz, string txt, color col) =>
if use
if t and not t
hz.LN.unshift(line.new(bar_index, open, bar_index, open, style = hz_style, width = hz_width, color = col))
hz.LB.unshift(label.new(bar_index, open, txt, style = label.style_label_left, color = transparent, textcolor = txt_color, size = lbl_size, text_font_family = font_style))
array.unshift(hz.CO, false)
if not open_unlimited and hz.LN.size() > max_days
hz.LN.pop().delete()
hz.LB.pop().delete()
hz.CO.pop()
if not t and hz.CO.size() > 0
if not hz.CO.get(0)
hz.LN.get(0).set_x2(bar_index)
hz.LB.get(0).set_x(bar_index)
if (use_cutoff ? t_co : false)
hz.CO.set(0, true)
hz_lines() =>
if hide_hline
if timeframe.in_seconds("") <= timeframe.in_seconds(hide_lines_h)
hz_line(use_h1, t_h1, hz_1, h1_text, h1_color)
hz_line(use_h2, t_h2, hz_2, h2_text, h2_color)
hz_line(use_h3, t_h3, hz_3, h3_text, h3_color)
hz_line(use_h4, t_h4, hz_4, h4_text, h4_color)
del_kz(kz k) =>
if k._box.size() > max_days
k._box.pop().delete()
if k._hi_line.size() > max_days
k._hi_line.pop().delete()
k._lo_line.pop().delete()
k._hi_valid.pop()
k._lo_valid.pop()
if show_midpoints
k._md_line.pop().delete()
k._md_valid.pop()
if k._hi_label.size() > max_days
k._hi_label.pop().delete()
k._lo_label.pop().delete()
adjust_in_kz(kz kz, bool t) =>
if t
kz._box.get(0).set_right(time)
kz._box.get(0).set_top(math.max(kz._box.get(0).get_top(), high))
kz._box.get(0).set_bottom(math.min(kz._box.get(0).get_bottom(), low))
kz._range_current := kz._box.get(0).get_top() - kz._box.get(0).get_bottom()
if show_pivots and kz._hi_line.size() > 0
if high > kz._hi_line.get(0).get_y1()
kz._hi_line.get(0).set_xy1(time, high)
kz._hi_line.get(0).set_xy2(time, high)
if low < kz._lo_line.get(0).get_y1()
kz._lo_line.get(0).set_xy1(time, low)
kz._lo_line.get(0).set_xy2(time, low)
if show_midpoints
kz._md_line.get(0).set_xy1(time, math.avg(kz._hi_line.get(0).get_y2(), kz._lo_line.get(0).get_y2()))
kz._md_line.get(0).set_xy2(time, math.avg(kz._hi_line.get(0).get_y2(), kz._lo_line.get(0).get_y2()))
if show_labels and kz._hi_label.size() > 0
if high > kz._hi_label.get(0).get_y()
kz._hi_label.get(0).set_xy(time, high)
if low < kz._lo_label.get(0).get_y()
kz._lo_label.get(0).set_xy(time, low)
adjust_out_kz(kz kz, bool t) =>
if not t and kz._box.size() > 0
if t
array.unshift(kz._range_store, kz._range_current)
if kz._range_store.size() > range_avg
kz._range_store.pop()
if kz._box.size() > 0 and show_pivots
for i = 0 to kz._box.size() - 1
if not ext_current or (ext_current and i == 0)
if ext_past ? true : (kz._hi_valid.get(i) == true)
kz._hi_line.get(i).set_x2(time)
if high > kz._hi_line.get(i).get_y1() and kz._hi_valid.get(i) == true
if use_alerts and i == 0
alert("Broke "+kz._title+" High", alert.freq_once_per_bar)
kz._hi_valid.set(i, false)
else if (use_cutoff ? t_co : false)
kz._hi_valid.set(i, false)
if ext_past ? true : (kz._lo_valid.get(i) == true)
kz._lo_line.get(i).set_x2(time)
if low < kz._lo_line.get(i).get_y1() and kz._lo_valid.get(i) == true
if use_alerts and i == 0
alert("Broke "+kz._title+" Low", alert.freq_once_per_bar)
kz._lo_valid.set(i, false)
else if (use_cutoff ? t_co : false)
kz._lo_valid.set(i, false)
if show_midpoints
kz._md_line.get(i).set_x2(time)
else
break
manage_kz(kz kz, bool use, bool t, color c, string box_txt, string hi_txt, string lo_txt) =>
if timeframe.in_seconds("") <= timeframe.in_seconds(tf_limit) and use
if t and not t
_c = get_box_color(c)
_t = get_text_color(c)
kz._box.unshift(box.new(time, high, time, low, xloc = xloc.bar_time, border_color = show_kz ? _c : na, bgcolor = show_kz ? _c : na, text = (show_kz and show_kz_text) ? box_txt : na, text_color = _t))
if show_pivots
kz._hi_line.unshift(line.new(time, high, time, high, xloc = xloc.bar_time, style = kzp_style, color = c, width = kzp_width))
kz._lo_line.unshift(line.new(time, low, time, low, xloc = xloc.bar_time, style = kzp_style, color = c, width = kzp_width))
if show_midpoints
kz._md_line.unshift(line.new(time, math.avg(high, low), time, math.avg(high, low), xloc = xloc.bar_time, style = kzm_style, color = c, width = kzm_width))
array.unshift(kz._md_valid, true)
array.unshift(kz._hi_valid, true)
array.unshift(kz._lo_valid, true)
if show_labels
kz._hi_label.unshift(label.new(time, high, hi_txt, xloc = xloc.bar_time, color = transparent, textcolor = txt_color, style = label.style_label_down, size = lbl_size))
kz._lo_label.unshift(label.new(time, low, lo_txt, xloc = xloc.bar_time, color = transparent, textcolor = txt_color, style = label.style_label_up, size = lbl_size))
del_kz(kz)
adjust_in_kz(kz, t)
adjust_out_kz(kz, t)
manage_kz(as_kz, use_asia, t_as, as_color, as_txt, ash_str, asl_str)
manage_kz(lo_kz, use_london, t_lo, lo_color, lo_txt, loh_str, lol_str)
manage_kz(na_kz, use_nyam, t_na, na_color, na_txt, nah_str, nal_str)
manage_kz(nl_kz, use_nylu, t_nl, nl_color, nl_txt, nlh_str, nll_str)
manage_kz(np_kz, use_nypm, t_np, np_color, np_txt, nph_str, npl_str)
manage_kz(op_kz, use_loop, t_op, op_color, op_txt, oph_str, opl_str)
manage_kz(cl_kz, use_locl, t_cl, cl_color, cl_txt, clh_str, cll_str)
manage_kz(m1_kz, use_sb1, t_m1, m1_color, m1_txt, m1h_str, m1l_str)
manage_kz(m2_kz, use_sb2, t_m2, m2_color, m2_txt, m2h_str, m2l_str)
manage_kz(m3_kz, use_sb3, t_m3, m3_color, m3_txt, m3h_str, m3l_str)
dwm()
vlines()
hz_lines()
new_dow_time = dow_xloc == 'Midday' ? time - timeframe.in_seconds("D") / 2 * 1000 : time
new_day = dayofweek(new_dow_time, gmt_tz) != dayofweek(new_dow_time, gmt_tz)
var dow_top = dow_yloc == 'Top'
var sunday = "SUNDAY"
var monday = "MONDAY"
var tuesday = "TUESDAY"
var wednesday = "WEDNESDAY"
var thursday = "THURSDAY"
var friday = "FRIDAY"
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 1 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = sunday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 2 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = monday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 3 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = tuesday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 4 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = wednesday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 5 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = thursday)
plotchar(dow_labels and timeframe.isintraday and dayofweek(new_dow_time, gmt_tz) == 6 and new_day, location = dow_top ? location.top : location.bottom, char = "", textcolor = txt_color, text = friday)
get_min_days_stored() =>
store = array.new_int()
if as_kz._range_store.size() > 0
store.push(as_kz._range_store.size())
if lo_kz._range_store.size() > 0
store.push(lo_kz._range_store.size())
if na_kz._range_store.size() > 0
store.push(na_kz._range_store.size())
if nl_kz._range_store.size() > 0
store.push(nl_kz._range_store.size())
if np_kz._range_store.size() > 0
store.push(np_kz._range_store.size())
if op_kz._range_store.size() > 0
store.push(op_kz._range_store.size())
if cl_kz._range_store.size() > 0
store.push(cl_kz._range_store.size())
if m1_kz._range_store.size() > 0
store.push(m1_kz._range_store.size())
if m2_kz._range_store.size() > 0
store.push(m2_kz._range_store.size())
if m3_kz._range_store.size() > 0
store.push(m3_kz._range_store.size())
result = store.min()
set_table(table tbl, kz kz, int row, string txt, bool use, bool t, color col) =>
if use
table.cell(tbl, 0, row, txt, text_size = range_size, bgcolor = get_box_color(col), text_color = txt_color)
table.cell(tbl, 1, row, str.tostring(kz._range_current), text_size = range_size, bgcolor = t ? get_box_color(col) : na, text_color = txt_color)
if show_range_avg
table.cell(tbl, 2, row, str.tostring(kz._range_store.avg()), text_size = range_size, text_color = txt_color)
if show_range and barstate.islast
var tbl = table.new(range_pos, 10, 10, chart.bg_color, chart.fg_color, 2, chart.fg_color, 1)
table.cell(tbl, 0, 0, "Killzone", text_size = range_size, text_color = txt_color)
table.cell(tbl, 1, 0, "Range", text_size = range_size, text_color = txt_color)
if show_range_avg
table.cell(tbl, 2, 0, "Avg ("+str.tostring(get_min_days_stored())+")", text_size = range_size, text_color = txt_color)
set_table(tbl, as_kz, 1, as_txt, use_asia, t_as, as_color)
set_table(tbl, lo_kz, 2, lo_txt, use_london, t_lo, lo_color)
set_table(tbl, na_kz, 3, na_txt, use_nyam, t_na, na_color)
set_table(tbl, nl_kz, 4, nl_txt, use_nylu, t_nl, nl_color)
set_table(tbl, np_kz, 5, np_txt, use_nypm, t_np, np_color)
set_table(tbl, op_kz, 6, op_txt, use_loop, t_op, op_color)
set_table(tbl, cl_kz, 7, cl_txt, use_locl, t_cl, cl_color)
set_table(tbl, m1_kz, 8, m1_txt, use_sb1, t_m1, m1_color)
set_table(tbl, m2_kz, 9, m2_txt, use_sb2, t_m2, m2_color)
set_table(tbl, m3_kz, 10, m3_txt, use_sb3, t_m3, m3_color)
// ---------------------------------------- Core Logic --------------------------------------------------
//-----------------------------------------------------------------------------------------------------------------------------------------------//
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// ©Mutharasan2
// Prev Published: 608
// Curr Published: 907
//@version=5
//2nd indicator("ICT HTF Candles (fadi)", overlay=true, max_boxes_count = 500, max_lines_count = 500, max_bars_back = 5000)
type Candle
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
box body
line wick_up
line wick_down
type Trace
line o
line c
line h
line l
label o_l
label c_l
label h_l
label l_l
type Imbalance
box b
int idx
type CandleSettings
bool show
string htf
int max_display
type Settings
int max_sets
color bull_body
color bull_border
color bull_wick
color bear_body
color bear_border
color bear_wick
int offset
int buffer
int htf_buffer
int width
bool trace_show
color trace_o_color
string trace_o_style
int trace_o_size
color trace_c_color
string trace_c_style
int trace_c_size
color trace_h_color
string trace_h_style
int trace_h_size
color trace_l_color
string trace_l_style
int trace_l_size
string trace_anchor
bool label_show
color label_color
string label_size
bool fvg_show
color fvg_color
bool vi_show
color vi_color
bool htf_label_show
color htf_label_color
string htf_label_size
bool htf_timer_show
color htf_timer_color
string htf_timer_size
string level
string liquidity_open_style
string liquidity_claimed_style
color liquidity_open_color
color liquidity_claimed_color
int liquidity_open_size
int liquidity_claimed_size
int max_lines
int extend
type CandleSet
Candle candles
Imbalance imbalances
CandleSettings settings
label tfName
label tfTimer
type Helper
string name = "Helper"
Settings settings = Settings.new()
var CandleSettings SettingsHTF1 = CandleSettings.new()
var CandleSettings SettingsHTF2 = CandleSettings.new()
var CandleSettings SettingsHTF3 = CandleSettings.new()
var CandleSettings SettingsHTF4 = CandleSettings.new()
var CandleSettings SettingsHTF5 = CandleSettings.new()
var CandleSettings SettingsHTF6 = CandleSettings.new()
var Candle candles_1 = array.new(0)
var Candle candles_2 = array.new(0)
var Candle candles_3 = array.new(0)
var Candle candles_4 = array.new(0)
var Candle candles_5 = array.new(0)
var Candle candles_6 = array.new(0)
var Imbalance imbalances_1 = array.new()
var Imbalance imbalances_2 = array.new()
var Imbalance imbalances_3 = array.new()
var Imbalance imbalances_4 = array.new()
var Imbalance imbalances_5 = array.new()
var Imbalance imbalances_6 = array.new()
var CandleSet htf1 = CandleSet.new()
htf1.settings := SettingsHTF1
htf1.candles := candles_1
htf1.imbalances := imbalances_1
var CandleSet htf2 = CandleSet.new()
htf2.settings := SettingsHTF2
htf2.candles := candles_2
htf2.imbalances := imbalances_2
var CandleSet htf3 = CandleSet.new()
htf3.settings := SettingsHTF3
htf3.candles := candles_3
htf3.imbalances := imbalances_3
var CandleSet htf4 = CandleSet.new()
htf4.settings := SettingsHTF4
htf4.candles := candles_4
htf4.imbalances := imbalances_4
var CandleSet htf5 = CandleSet.new()
htf5.settings := SettingsHTF5
htf5.candles := candles_5
htf5.imbalances := imbalances_5
var CandleSet htf6 = CandleSet.new()
htf6.settings := SettingsHTF6
htf6.candles := candles_6
htf6.imbalances := imbalances_6
//+------------------------------------------------------------------------------------------------------------+//
//+--- Settings ---+//
//+------------------------------------------------------------------------------------------------------------+//
htf1.settings.show := input.bool(false, "HTF 1 ", inline="htf1")
htf_1 = input.timeframe("60", "", inline="htf1")
htf1.settings.htf := htf_1
htf1.settings.max_display := input.int(1, "", inline="htf1")
htf2.settings.show := input.bool(false, "HTF 2 ", inline="htf2")
htf_2 = input.timeframe("240", "", inline="htf2")
htf2.settings.htf := htf_2
htf2.settings.max_display := input.int(1, "", inline="htf2")
htf3.settings.show := input.bool(true, "HTF 3 ", inline="htf3")
htf_3 = input.timeframe("1D", "", inline="htf3")
htf3.settings.htf := htf_3
htf3.settings.max_display := input.int(1, "", inline="htf3")
htf4.settings.show := input.bool(true, "HTF 4 ", inline="htf4")
htf_4 = input.timeframe("1W", "", inline="htf4")
htf4.settings.htf := htf_4
htf4.settings.max_display := input.int(1, "", inline="htf4")
htf5.settings.show := input.bool(true, "HTF 5 ", inline="htf5")
htf_5 = input.timeframe("1M", "", inline="htf5")
htf5.settings.htf := htf_5
htf5.settings.max_display := input.int(1, "", inline="htf5")
htf6.settings.show := input.bool(false, "HTF 6 ", inline="htf6")
htf_6 = input.timeframe("3M", "", inline="htf6")
htf6.settings.htf := htf_6
htf6.settings.max_display := input.int(1, "", inline="htf6")
settings.max_sets := input.int(6, "Limit to next HTFs only", minval=1, maxval=6)
settings.bull_body := input.color(color.rgb(76, 175, 80), "Body ", inline="body")
settings.bear_body := input.color(color.rgb(0, 0, 0), "", inline="body")
settings.bull_border := input.color(color.rgb(93, 96, 107), "Borders", inline="borders")
settings.bear_border := input.color(color.rgb(0, 0, 0), "", inline="borders")
settings.bull_wick := input.color(color.rgb(93, 96, 107), "Wick ", inline="wick")
settings.bear_wick := input.color(color.rgb(93, 96, 107), "", inline="wick")
settings.offset := input.int(10, "padding from current candles", minval = 1)
settings.buffer := input.int(1, "space between candles", minval = 1, maxval = 4)
settings.htf_buffer := input.int(10, "space between Higher Timeframes", minval = 1, maxval = 10)
settings.width := input.int(4, "Candle Width", minval = 1, maxval = 10)*2
settings.htf_label_show := input.bool(false, "HTF Label ", inline="HTFlabel")
settings.htf_label_color := input.color(color.rgb(0, 0, 0), "", inline='HTFlabel')
settings.htf_label_size := input.string(size.tiny, "", , inline="HTFlabel")
settings.htf_timer_show := input.bool(false, "Remaining time ", inline="timer")
settings.htf_timer_color := input.color(color.rgb(0, 0, 0), "", inline='timer')
settings.htf_timer_size := input.string(size.tiny, "", , inline="timer")
settings.fvg_show := input.bool(true, "Fair Value Gap ", group="Imbalance", inline="fvg")
settings.fvg_color := input.color(color.new(color.gray, 80), "", inline='fvg', group="Imbalance")
settings.vi_show := input.bool(true, "Volume Imbalance", group="Imbalance", inline="vi")
settings.vi_color := input.color(color.new(color.red, 50), "", inline='vi', group="Imbalance")
settings.trace_show := input.bool(false, "Trace lines", group="trace")
settings.trace_o_color := input.color(color.rgb(0, 0, 0), "Open ", inline='1', group="trace")
settings.trace_o_style := input.string('····', '', options = , inline='1', group="trace")
settings.trace_o_size := input.int(1, '', options = , inline='1', group="trace")
settings.trace_c_color := input.color(color.rgb(0, 0, 0), "Close ", inline='2', group="trace")
settings.trace_c_style := input.string('····', '', options = , inline='2', group="trace")
settings.trace_c_size := input.int(1, '', options = , inline='2', group="trace")
settings.trace_h_color := input.color(color.rgb(0, 0, 0), "High ", inline='3', group="trace")
settings.trace_h_style := input.string('····', '', options = , inline='3', group="trace")
settings.trace_h_size := input.int(1, '', options = , inline='3', group="trace")
settings.trace_l_color := input.color(color.rgb(0, 0, 0), "Low ", inline='4', group="trace")
settings.trace_l_style := input.string('····', '', options = , inline='4', group="trace")
settings.trace_l_size := input.int(1, '', options = , inline='4', group="trace")
settings.trace_anchor := input.string("First Timeframe", "Anchor to", options= , group="trace")
settings.label_show := input.bool(false, "Price Label ", inline="label")
settings.label_color := input.color(color.rgb(0, 0, 0), "", inline='label')
settings.label_size := input.string(size.small, "", , inline="label")
//+------------------------------------------------------------------------------------------------------------+//
//+--- Variables ---+//
//+------------------------------------------------------------------------------------------------------------+//
Helper helper = Helper.new()
var Trace trace = Trace.new()
color color_transparent = #ffffff00
//+------------------------------------------------------------------------------------------------------------+//
//+--- Internal Functions ---+//
//+------------------------------------------------------------------------------------------------------------+//
method LineStyle(Helper helper, string style) =>
helper.name := style
out = switch style
'----' => line.style_dashed
'····' => line.style_dotted
=> line.style_solid
method ValidTimeframe(Helper helper, string HTF) =>
helper.name := HTF
if timeframe.in_seconds(HTF) >= timeframe.in_seconds("D") and timeframe.in_seconds(HTF) > timeframe.in_seconds()
true
else
n1 = timeframe.in_seconds()
n2 = timeframe.in_seconds(HTF)
n3 = n1 % n2
(n1 < n2 and math.round(n2/n1) == n2/n1)
method RemainingTime(Helper helper, string HTF) =>
helper.name := HTF
if barstate.isrealtime
timeRemaining = (time_close(HTF) - timenow)/1000
days = math.floor(timeRemaining / 86400)
hours = math.floor((timeRemaining - (days*86400)) / 3600)
minutes = math.floor((timeRemaining - (days*86400) - (hours*3600))/ 60)
seconds = math.floor(timeRemaining - (days*86400) - (hours*3600) - (minutes*60))
r = str.tostring(seconds, "00")
if minutes > 0 or hours > 0 or days > 0
r := str.tostring(minutes, "00") + ":" + r
if hours > 0 or days > 0
r := str.tostring(hours, "00") + ":" + r
if days > 0
r := str.tostring(days) + "D " + r
r
else
"n/a"
method HTFName(Helper helper, string HTF) =>
helper.name := "HTFName"
formatted = HTF
seconds = timeframe.in_seconds(HTF)
if seconds < 60
formatted := str.tostring(seconds) + "s"
else if (seconds / 60) < 60
formatted := str.tostring((seconds/60)) + "m"
else if (seconds/60/60) < 24
formatted := str.tostring((seconds/60/60)) + "H"
formatted
method HTFEnabled(Helper helper) =>
helper.name := "HTFEnabled"
int enabled =0
enabled += htf1.settings.show ? 1 : 0
enabled += htf2.settings.show ? 1 : 0
enabled += htf3.settings.show ? 1 : 0
enabled += htf4.settings.show ? 1 : 0
enabled += htf5.settings.show ? 1 : 0
enabled += htf6.settings.show ? 1 : 0
int last = math.min(enabled, settings.max_sets)
last
method CandleSetHigh(Helper helper, Candle candles, float h) =>
helper.name := "CandlesSetHigh"
float _h = h
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
Candle c = array.get(candles, i)
if c.h > _h
_h := c.h
_h
method CandlesHigh(Helper helper, Candle candles) =>
helper.name := "CandlesHigh"
h = 0.0
int cnt = 0
int last = helper.HTFEnabled()
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
h := helper.CandleSetHigh(htf1.candles, h)
cnt += 1
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf2.candles, h)
cnt +=1
if htf3.settings.show and helper.ValidTimeframe(htf3.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf3.candles, h)
cnt += 1
if htf4.settings.show and helper.ValidTimeframe(htf4.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf4.candles, h)
cnt += 1
if htf5.settings.show and helper.ValidTimeframe(htf5.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf5.candles, h)
cnt += 1
if htf6.settings.show and helper.ValidTimeframe(htf6.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf6.candles, h)
h
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
Candle c = array.get(candles, i)
if c.h > h
h := c.h
h
method Reorder(CandleSet candleSet, int offset) =>
size = candleSet.candles.size()
if size > 0
for i = size-1 to 0
Candle candle = candleSet.candles.get(i)
t_buffer = offset + ((settings.width+settings.buffer)*(size-i-1))
box.set_left(candle.body, bar_index + t_buffer)
box.set_right(candle.body, bar_index + settings.width + t_buffer)
line.set_x1(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x1(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
candleSet
top = helper.CandlesHigh(candleSet.candles)
left = bar_index + offset + ((settings.width+settings.buffer)*(size-1))/2
if settings.htf_label_show
var label l = candleSet.tfName
string lbl = helper.HTFName(candleSet.settings.htf)
if settings.htf_timer_show
lbl += "\n"
if not na(l)
label.set_xy(l, left, top)
else
l := label.new(left, top, lbl, color=color_transparent, textcolor = settings.htf_label_color, style=label.style_label_down, size = settings.htf_label_size)
if settings.htf_timer_show
var label t = candleSet.tfTimer
string tmr = "(" + helper.RemainingTime(candleSet.settings.htf) + ")"
if not na(t)
label.set_xy(t, left, top)
else
t := label.new(left, top, tmr, color=color_transparent, textcolor = settings.htf_timer_color, style=label.style_label_down, size = settings.htf_timer_size)
candleSet
method FindImbalance(CandleSet candleSet) =>
if barstate.isrealtime or barstate.islast
if candleSet.imbalances.size() > 0
for i = candleSet.imbalances.size()-1 to 0
Imbalance del = candleSet.imbalances.get(i)
box.delete(del.b)
candleSet.imbalances.pop()
if candleSet.candles.size() > 3 and settings.fvg_show
for i = 1 to candleSet.candles.size() -3
candle1 = candleSet.candles.get(i)
candle2 = candleSet.candles.get(i+2)
candle3 = candleSet.candles.get(i+1)
if (candle1.l > candle2.h and math.min(candle1.o, candle1.c) > math.max(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_left(candle2.body), candle2.h, box.get_right(candle1.body), candle1.l, bgcolor=settings.fvg_color, border_color = color_transparent, xloc=xloc.bar_index)
candleSet.imbalances.push(imb)
if (candle1.h < candle2.l and math.max(candle1.o, candle1.c) < math.min(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_right(candle1.body), candle1.h, box.get_left(candle2.body), candle2.l, bgcolor=settings.fvg_color, border_color = color_transparent)
candleSet.imbalances.push(imb)
box temp = box.copy(candle3.body)
box.delete(candle3.body)
candle3.body := temp
if candleSet.candles.size() > 2 and settings.vi_show
for i = 1 to candleSet.candles.size() -2
candle1 = candleSet.candles.get(i)
candle2 = candleSet.candles.get(i+1)
if (candle1.l < candle2.h and math.min(candle1.o, candle1.c) > math.max(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_left(candle2.body), math.min(candle1.o, candle1.c), box.get_right(candle1.body), math.max(candle2.o, candle2.c), bgcolor=settings.vi_color, border_color = color_transparent)
candleSet.imbalances.push(imb)
if (candle1.h > candle2.l and math.max(candle1.o, candle1.c) < math.min(candle2.o, candle2.c))
Imbalance imb = Imbalance.new()
imb.b := box.new(box.get_right(candle1.body), math.min(candle2.o, candle2.c), box.get_left(candle2.body), math.max(candle1.o, candle1.c), bgcolor=settings.vi_color, border_color = color_transparent)
candleSet.imbalances.push(imb)
candleSet
method Monitor(CandleSet candleSet) =>
HTFBarTime = time(candleSet.settings.htf)
isNewHTFCandle = ta.change(HTFBarTime)
if isNewHTFCandle
Candle candle = Candle.new()
candle.o := open
candle.c := close
candle.h := high
candle.l := low
candle.o_idx := bar_index
candle.c_idx := bar_index
candle.h_idx := bar_index
candle.l_idx := bar_index
bull = candle.c > candle.o
candle.body := box.new(bar_index, math.max(candle.o, candle.c), bar_index+2, math.min(candle.o, candle.c), bull ? settings.bull_border : settings.bear_border, 1, bgcolor = bull ? settings.bull_body : settings.bear_body)
candle.wick_up := line.new(bar_index+1, candle.h, bar_index, math.max(candle.o, candle.c), color=bull ? settings.bull_wick : settings.bear_wick)
candle.wick_down := line.new(bar_index+1, math.min(candle.o, candle.c), bar_index, candle.l, color=bull ? settings.bull_wick : settings.bear_wick)
candleSet.candles.unshift(candle)
if candleSet.candles.size() > candleSet.settings.max_display
Candle delCandle = array.pop(candleSet.candles)
box.delete(delCandle.body)
line.delete(delCandle.wick_up)
line.delete(delCandle.wick_down)
candleSet
method Update(CandleSet candleSet, int offset, bool showTrace) =>
if candleSet.candles.size() > 0
Candle candle = candleSet.candles.first()
candle.h_idx := high > candle.h ? bar_index : candle.h_idx
candle.h := high > candle.h ? high : candle.h
candle.l_idx := low < candle.l ? bar_index : candle.l_idx
candle.l := low < candle.l ? low : candle.l
candle.c := close
candle.c_idx := bar_index
bull = candle.c > candle.o
box.set_top(candle.body, candle.o)
box.set_bottom(candle.body, candle.c)
box.set_bgcolor(candle.body, bull ? settings.bull_body : settings.bear_body)
box.set_border_color(candle.body, bull ? settings.bull_border : settings.bear_border)
line.set_color(candle.wick_up, bull ? settings.bull_wick : settings.bear_wick)
line.set_color(candle.wick_down, bull ? settings.bull_wick : settings.bear_wick)
line.set_y1(candle.wick_up, candle.h)
line.set_y2(candle.wick_up, math.max(candle.o, candle.c))
line.set_y1(candle.wick_down, candle.l)
line.set_y2(candle.wick_down, math.min(candle.o, candle.c))
if barstate.isrealtime or barstate.islast
candleSet.Reorder(offset)
if settings.trace_show and showTrace
if bar_index - candle.o_idx < 5000
if na(trace.o)
trace.o := line.new(candle.o_idx, candle.o, box.get_left(candle.body), candle.o, xloc= xloc.bar_index, color=settings.trace_o_color, style= helper.LineStyle(settings.trace_o_style), width=settings.trace_o_size)
else
line.set_xy1(trace.o, candle.o_idx, candle.o)
line.set_xy2(trace.o, box.get_left(candle.body), candle.o)
if settings.label_show
if na(trace.o_l)
trace.o_l := label.new(box.get_right(candle.body), candle.o, str.tostring(candle.o), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.o_l, box.get_right(candle.body), candle.o)
label.set_text(trace.o_l, str.tostring(candle.o))
if bar_index - candle.c_idx < 5000
if na(trace.c)
trace.c := line.new(candle.c_idx, candle.c, box.get_left(candle.body), candle.c, xloc= xloc.bar_index, color=settings.trace_c_color, style=helper.LineStyle(settings.trace_c_style), width=settings.trace_c_size)
else
line.set_xy1(trace.c, candle.c_idx, candle.c)
line.set_xy2(trace.c, box.get_left(candle.body), candle.c)
if settings.label_show
if na(trace.c_l)
trace.c_l := label.new(box.get_right(candle.body), candle.c, str.tostring(candle.c), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.c_l, box.get_right(candle.body), candle.c)
label.set_text(trace.c_l, str.tostring(candle.c))
if bar_index - candle.h_idx < 5000
if na(trace.h)
trace.h := line.new(candle.h_idx, candle.h, line.get_x1(candle.wick_up), candle.h, xloc= xloc.bar_index, color=settings.trace_h_color, style=helper.LineStyle(settings.trace_h_style), width=settings.trace_h_size)
else
line.set_xy1(trace.h, candle.h_idx, candle.h)
line.set_xy2(trace.h, line.get_x1(candle.wick_up), candle.h)
if settings.label_show
if na(trace.h_l)
trace.h_l := label.new(box.get_right(candle.body), candle.h, str.tostring(candle.h), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.h_l, box.get_right(candle.body), candle.h)
label.set_text(trace.h_l, str.tostring(candle.o))
if bar_index - candle.l_idx < 5000
if na(trace.l)
trace.l := line.new(candle.l_idx, candle.l, line.get_x1(candle.wick_down), candle.l, xloc= xloc.bar_index, color=settings.trace_l_color, style=helper.LineStyle(settings.trace_l_style), width=settings.trace_l_size)
else
line.set_xy1(trace.l, candle.l_idx, candle.l)
line.set_xy2(trace.l, line.get_x1(candle.wick_down), candle.l)
if settings.label_show
if na(trace.l_l)
trace.l_l := label.new(box.get_right(candle.body), candle.l, str.tostring(candle.l), textalign = text.align_center, style=label.style_label_left, size=settings.label_size, color=color_transparent, textcolor=settings.label_color)
else
label.set_xy(trace.l_l, box.get_right(candle.body), candle.l)
label.set_text(trace.l_l, str.tostring(candle.o))
candleSet
int cnt = 0
int last = helper.HTFEnabled()
int offset = settings.offset
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
bool showTrace = false
if settings.trace_anchor == "First Timeframe"
showTrace := true
if settings.trace_anchor == "Last Timeframe" and settings.max_sets == 1
showTrace := true
htf1.Monitor().Update(offset, showTrace).FindImbalance()
cnt +=1
offset += cnt > 0 ? (htf1.candles.size() * settings.width) + (htf1.candles.size() > 0 ? htf1.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf2.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf2.candles.size() * settings.width) + (htf2.candles.size() > 0 ? htf2.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf3.settings.show and helper.ValidTimeframe(htf3.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf3.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf3.candles.size() * settings.width) + (htf3.candles.size() > 0 ? htf3.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf4.settings.show and helper.ValidTimeframe(htf4.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf4.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf4.candles.size() * settings.width) + (htf4.candles.size() > 0 ? htf4.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf5.settings.show and helper.ValidTimeframe(htf5.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe" and cnt == last-1
showTrace := true
htf5.Monitor().Update(offset, showTrace).FindImbalance()
cnt+=1
offset += cnt > 0 ? (htf5.candles.size() * settings.width) + (htf5.candles.size() > 0 ? htf5.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf6.settings.show and helper.ValidTimeframe(htf6.settings.htf) and cnt < last
bool showTrace = false
if settings.trace_anchor == "First Timeframe" and cnt == 0
showTrace := true
if settings.trace_anchor == "Last Timeframe"
showTrace := true
htf6.Monitor().Update(offset, showTrace).FindImbalance()
//------------------------------------------------------------------------------------------------//
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// ©Mutharasan12
//@version=5
//indicator("Notes, Watermark",overlay = true)
// STICKY NOTES #BEGIN --------------------------------------------------------------------------------------------------------------------------------------------------------//
var StickyNote_settings = "STICKY NOTES --------------------------------------------------"
showStickyNotes = input.bool(false, "Show Sticky Notes?", group = StickyNote_settings)
if showStickyNotes
stickynote01 = input.text_area("Your Note Here","NOTES",group = StickyNote_settings)
tl1 = input.string("top", title = "Sticky Note Position (Vertical)", options = , group = StickyNote_settings)
tl2 = input.string("right", title = "Sticky Note Position (Horizontal)", options = , group = StickyNote_settings)
font_size = input.string("Normal", title = "Sticky Note Text Size", options = , group = StickyNote_settings)
font_type = input.string("Default", title = "Font Type", options = , group = StickyNote_settings)
font_color = input.color(color.rgb(0,0,0,0), title = "Note Color", inline = 'nc', group = StickyNote_settings)
note_color = input.color(color (color.rgb(0,0,0,100)), title = "Note Background", inline='nc', group = StickyNote_settings)
selected_font = font_type == "Default" ? font.family_default : font.family_monospace
selected_size = font_size == "Auto" ? size.auto : font_size == "Huge" ? size.huge : font_size == "Large" ? size.large : font_size == "Normal" ? size.normal : font_size == "Small" ? size.small : font_size == "Tiny" ? size.tiny : na
var table t1 = table.new(tl1 + "_" + tl2, 1, 10)
if barstate.islast
if not na(stickynote01) and stickynote01 != ""
table.cell(t1,0,0, text = stickynote01 , bgcolor = note_color, text_color = font_color, text_halign = text.align_left, text_size = selected_size, text_font_family = selected_font)
// STICKY NOTES #END ----------------------------------------------------------------------------------------------------------------------------------------------------------//
// WATERMARK #BEGIN --
Moving Average ProjectionDisplays 2-5 moving averages (solid lines) and projects their future trajectory (dashed lines) based on current trend momentum. This helps you anticipate where key MAs are heading and identify potential future support/resistance levels.
Important: Projections show where MAs would move IF the current trend continues—they're not predictions. Market conditions change, so use projections as planning tools, not trading signals.
General Settings
Number of MAs (2-5) controls how many moving averages display on your chart. Start with 2-3 to avoid clutter. Projection Bars (1-100) determines how far into the future to project—use 10-20 for intraday charts and 20-40 for daily charts. Lookback for Slope (2-100) sets the number of bars used to calculate trend slope, where shorter lookbacks are more responsive and longer ones are smoother. The default of 20 works well for most situations.
Individual MA Settings (MA 1-5)
Each MA has four settings: Length sets the period for the MA (common values are 9, 20, 50, 100, and 200), Type lets you choose between SMA, EMA, WMA, HMA, VWMA, or RMA (EMA is most popular), Color sets the historical MA line color, and Projection Color sets the projected line color (usually a lighter or transparent version of the main color).
MA Types Quick Reference: EMA is most popular and responsive to recent prices. SMA gives equal weight to all periods and is the smoothest. HMA is very responsive with low lag. VWMA incorporates volume data.
Quick Setup Examples
Day Trading: 3 MAs (9/21/50 EMA), 10-15 projection bars, 10-15 lookback
Swing Trading: 2 MAs (50/200 EMA), 20-30 projection bars, 20 lookback
Scalping: 2 MAs (9/20 EMA), 5-10 projection bars, 5-10 lookback
How to Use
Trend Identification: An uptrend shows price above rising MAs with projections pointing up. A downtrend shows price below falling MAs with projections pointing down. Consolidation appears as flat MAs with horizontal projections.
Support & Resistance: Rising MA projections act as future dynamic support levels, while falling MA projections act as future dynamic resistance levels.
Anticipating Changes: Watch for projected MA crossovers before they happen. When projections converge, expect volatility or consolidation. Steep projections suggest unsustainable trends, so be cautious. Flat projections indicate ranging markets.
Trade Planning: Check the current trend using MA alignment, then look at projections to gauge trend continuation likelihood. Use projected MA levels for potential targets or stop placement.
Important Tips
When Projections Work Best: Projections are most reliable in stable trending markets with consistent momentum, low volatility environments, and away from major news events.
When to Be Cautious: Use caution during high volatility or choppy price action, around major economic releases, when projections show extreme or parabolic angles, and during trend transitions.
Combine With Other Analysis: Don't trade projections alone. Use them alongside price action, volume, support and resistance levels, and other indicators for confirmation.
Best Practices
Start with 2-3 MAs to avoid chart clutter. Match your projection and lookback bars to your trading timeframe. Use consistent color schemes for quick interpretation. Adjust settings as market conditions change. Always use proper risk management—projections are planning tools, not guarantees.
Troubleshooting
Projections not showing: Check that Projection Bars > 0 and you're viewing the most recent bar
Chart too cluttered: Reduce number of MAs or increase projection color transparency
Projections too volatile: Increase lookback bars or switch to EMA/SMA from HMA
Can't see certain MAs: Verify "Number of MAs" setting includes them (MA 3 won't show if set to 2)
Clock&Flow – Market Pulse IndicatorClock&Flow – Market Pulse Indicator
1) General Purpose
The Market Pulse Indicator is designed to visualize the strength and direction of market flow in a clear, intuitive way.
Unlike common volume or momentum indicators, it blends three essential dimensions — price velocity, normalized volume, and volatility (ATR) — to highlight when market pressure is truly meaningful.
It helps identify genuine liquidity inflows/outflows, potential exhaustion zones, and moments of compression or expansion within the price structure.
2) Data Sources
All data is directly taken from the current chart’s feed on TradingView:
Price (close): to measure relative price change.
Volume: to detect the intensity of market participation (normalized to average).
ATR (Average True Range): to evaluate volatility relative to price levels.
No external data or off-platform sources are used.
3) Logic and Calculation Steps
Price Velocity: calculates the percentage change between the current close and the close N bars ago.
priceChange = (close - close ) / close
Normalized Volume: compares current volume to its moving average over the same period.
volNorm = volume / sma(volume, length)
Normalized Volatility: ATR divided by price to adjust for instrument scale.
atrNorm = atr(length) / close
Combination : multiplies the three components into one raw value that represents market pulse intensity.
rawPulse = priceChange * volNorm * (1 + atrNorm)
Smoothing: a moving average (smoothLen) is applied to create a cleaner and more readable oscillator line.
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parameters (Default Settings)
length (20): analysis period for price change, volume, and ATR.
smoothLen (5): smoothing factor; higher values reduce noise.
multiplier (100): scales the output for readability; adjust to fit chart scale.
5) How to Read the Indicator
Market Pulse > 0 (green): net inflow of liquidity; buying pressure dominates.
Market Pulse < 0 (red): net outflow of liquidity; selling pressure dominates.
Near 0: neutral phase; market balance or consolidation.
Sudden peaks: strong bursts of flow — often coincide with news releases or session overlaps.
Confirmations: use as a second-level filter before entering trades or to confirm momentum behind a breakout.
6) Divergences
Divergences between price and Market Pulse are key signals of weakening flow strength:
Bullish divergence: price forms lower lows while Market Pulse forms higher lows → selling pressure is fading; potential reversal or bounce.
Bearish divergence: price forms higher highs while Market Pulse fails to confirm → buying momentum is losing strength; potential correction ahead.
For reliability, look for divergences on higher timeframes (H4, Daily).
On lower timeframes, treat them as early warnings.
7) Typical Use Cases
Breakout confirmation: price breaks resistance with a rising Market Pulse → confirms genuine participation.
False signal filter: price breaks a level but Market Pulse remains flat/negative → likely fake breakout.
Pullback entry: after a breakout, wait for a short retracement and a new positive pulse → safer entry point.
Exit signal: if you’re long and Market Pulse suddenly turns negative with strong volume → consider partial exit or tighter stops.
8) Recommended Timeframes
Intraday / Scalping: 5–30 min charts with length 10–14, smoothLen 3–5.
Swing trading: 1h–4h charts with length 20–50.
Position trading: Daily charts with larger length (50–100) for smoother data.
Always optimize parameters to the specific asset — there are no universal settings.
9) Limitations
This indicator is not a trading system — it’s a decision-support tool.
Results depend on the quality of the volume data available for the symbol.
Performance and sensitivity are influenced by length, smoothing, and multiplier values — always test before live trading.
Use alongside sound risk and money management.
10) Disclaimer
This script is provided for educational purposes only and does not constitute financial advice.
Trading and investing involve significant risk, including the potential loss of capital.
Always test indicators in simulation environments and make independent decisions based on your own analysis and risk tolerance.
Italiano
1) Scopo generale
Flow Pulse è un oscillatore pensato per visualizzare la forza e la direzione del flusso di mercato in modo immediato. Non è un semplice indicatore di volume né una copia di RSI/MACD: combina tre dimensioni fondamentali — variazione di prezzo, volume normalizzato e volatilità — per mettere in evidenza i momenti in cui la pressione dei partecipanti è realmente significativa.
È ideale per identificare: entrate guidate da flussi reali, potenziali esaurimenti, momenti di compressione/espansione del movimento e segnali di conferma per breakout o rimbalzi.
2) Dati utilizzati
L’indicatore usa esclusivamente dati disponibili sulla piattaforma TradingView del grafico corrente:
price (close) — per calcolare la variazione percentuale del prezzo;
volume per misurare l’intensità degli scambi (normalizzato su media);
ATR (Average True Range) — per normalizzare la volatilità rispetto al prezzo;
Tutti i feed (prezzo e volume) sono quelli forniti dall’exchange/fornitore dati collegato al simbolo sul grafico.
3) Logica e passaggi di calcolo
Velocità del prezzo: calcolo della variazione percentuale tra la chiusura corrente e la chiusura N barre fa:
priceChange = (close - close ) / close
— misura la direzione e magnitudine del movimento in termine relativo.
Volume normalizzato: rapporto tra il volume corrente e la media mobile semplice del volume su length barre:
volNorm = volume / sma(volume, length)
— evidenzia volumi anomali rispetto alla media.
Volatilità normalizzata (ATR): rapporto ATR/close per rendere la volatilità comparabile across price levels:
atrNorm = atr(length) / close
Combinazione: il prodotto di questi fattori (con un piccolo offset su ATR) genera un valore grezzo:
rawPulse = priceChange * volNorm * (1 + atrNorm)
— se priceChange e volNorm sono positivi e l’ATR è presente, il rawPulse sarà significativamente positivo.
Smoothing: media mobile semplice (SMA) applicata al rawPulse e moltiplicazione per un fattore scalare (multiplier) per portare il range su livelli leggibili:
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parametri esposti (default consigliati)
length (periodo analisi) — default 20: influenza calcolo Δ% e media volumi; allunga la finestra storica.
smoothLen (smussamento) — default 5: smoothing del segnale per ridurre rumore.
multiplier — default 100: fattore di scala per rendere l’oscillatore più leggibile.
5) Interpretazione pratica dei valori
FlowPulse > 0 (verde): predominanza di flusso d’ingresso — pressione d’acquisto. Maggiore il valore, più forte la convinzione (volume + movimento + volatilità).
FlowPulse < 0 (rosso): predominanza di flusso in uscita — pressione di vendita.
Vicino a 0: assenza di flussi netti chiari; mercato piatto o bilanciato.
Picchi repentini: indicano accelerate di flusso — spesso coincidono con rotture, open/close session, news.
Sostegno al trade: usa FlowPulse come conferma prima di entrare su breakout o come avviso di attenzione su esaurimenti.
6) Divergenze (come leggerle)
Le divergenze tra prezzo e FlowPulse sono segnali importanti:
Divergenza rialzista (bullish divergence): prezzo fa nuovi minimi mentre FlowPulse non fa nuovi minimi (o forma minimo relativo più alto) → indica che la spinta di vendita non è supportata da volume/volatilità, possibile inversione/rimbalzo.
Divergenza ribassista (bearish divergence): prezzo fa nuovi massimi mentre FlowPulse non li conferma (o forma massimo relativo più basso) → la spinta d’acquisto è “debole”, possibile esaurimento e inversione.
Note pratiche: cercare divergenze su timeframe maggiori (H4, D) per maggiore attendibilità; sui timeframe minori prendere solo come early warning.
7) Esempi d’uso operativo
Conferma breakout: prezzo rompe resistenza + FlowPulse positivo e crescente → breakout più probabile e con volumi reali.
Filtro per falsi segnali: prezzo rompe ma FlowPulse è piatto/negativo → alto rischio di false breakout.
Entrata per pullback: dopo breakout, attendere un pullback con FlowPulse che torna positivo → ingresso più prudente.
Gestione delle uscite: se sei long e FlowPulse improvvisamente si inverte in negativo su volumi elevati → considerare riduzione posizione o stop.
8) Timeframe consigliati
Intraday / Scalping: M5–M30 con length ridotto (es. 10–14) e smoothLen piccolo.
Swing trading: H1–H4 con length 20–50.
Position trading: D1 con length maggiore per filtrare rumore.
Testa i parametri sul tuo asset e timeframe; nessun parametro è universale.
9) Limitazioni e avvertenze
L’indicatore non è un sistema di trading completo: è un tool di informazione e timing.
Dipende dalla qualità dei dati di volume del simbolo: su alcuni titoli/mercati (es. alcuni ETF, Forex su certi broker) il volume può essere parziale o non rappresentativo.
I valori di margine/multiplier e smoothing influenzano sensibilmente sensibilità e falsi segnali: backtest e ottimizzazione sono raccomandati.
Non usare il solo FlowPulse per entrare su leva elevata senza gestione del rischio12) Disclaimer da inserire
Disclaimer: Questo indicatore è fornito solo a scopo didattico e non costituisce consulenza finanziaria. L’uso comporta rischi: valuta sempre la gestione del rischio e testa su conto demo prima dell’applicazione in reale.
lower_tfLibrary "lower_tf"
█ OVERVIEW
This library is an enhanced (opinionated) version of the library originally developed by PineCoders contained in lower_tf .
It is a Pine Script® programming tool for advanced lower-timeframe selection and intra-bar analysis.
█ CONCEPTS
Lower Timeframe Analysis
Lower timeframe analysis refers to the analysis of price action and market microstructure using data from timeframes shorter than the current chart period. This technique allows traders and analysts to gain deeper insights into market dynamics, volume distribution, and the price movements occurring within each bar on the chart. In Pine Script®, the request.security_lower_tf() function allows this analysis by accessing intrabar data.
The library provides a comprehensive set of functions for accurate mapping of lower timeframes, dynamic precision control, and optimized historical coverage using request.security_lower_tf().
█ IMPROVEMENTS
The original library implemented ten precision levels. This enhanced version extends that to twelve levels, adding two ultra-high-precision options:
Coverage-Based Precision (Original 5 levels):
1. "Covering most chart bars (least precise)"
2. "Covering some chart bars (less precise)"
3. "Covering fewer chart bars (more precise)"
4. "Covering few chart bars (very precise)"
5. "Covering the least chart bars (most precise)"
Intrabar-Count-Based Precision (Expanded from 5 to 7 levels):
6. "~12 intrabars per chart bar"
7. "~24 intrabars per chart bar"
8. "~50 intrabars per chart bar"
9. "~100 intrabars per chart bar"
10. "~250 intrabars per chart bar"
11. "~500 intrabars per chart bar" ← NEW
12. "~1000 intrabars per chart bar" ← NEW
The key enhancements in this version include:
1. Extended Precision Range: Adds two ultra-high-precision levels (~500 and ~1000 intrabars) for advanced microstructure analysis requiring maximum granularity.
2. Market-Agnostic Implementation: Eliminates the distinction between crypto/forex and traditional markets, removing the mktFactor variable in favor of a unified, predictable approach across all asset classes.
3. Explicit Precision Mapping: Completely refactors the timeframe selection logic using native Pine Script® timeframe properties ( timeframe.isseconds , timeframe.isminutes , timeframe.isdaily , timeframe.isweekly , timeframe.ismonthly ) and explicit multiplier-based lookup tables. The original library used minute-based calculations with market-dependent conditionals that produced inconsistent results. This version provides deterministic, predictable mappings for every chart timeframe, ensuring consistent precision behavior regardless of asset type or market hours.
An example of the differences can be seen side-by-side in the chart below, where the original library is on the left and the enhanced version is on the right:
█ USAGE EXAMPLE
// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © andre_007
//@version=6
indicator("lower_tf Example")
import andre_007/lower_tf/1 as LTF
import PineCoders/Time/5 as PCtime
//#region ———————————————————— Example code
// ————— Constants
color WHITE = color.white
color GRAY = color.gray
string LTF1 = "Covering most chart bars (least precise)"
string LTF2 = "Covering some chart bars (less precise)"
string LTF3 = "Covering less chart bars (more precise)"
string LTF4 = "Covering few chart bars (very precise)"
string LTF5 = "Covering the least chart bars (most precise)"
string LTF6 = "~12 intrabars per chart bar"
string LTF7 = "~24 intrabars per chart bar"
string LTF8 = "~50 intrabars per chart bar"
string LTF9 = "~100 intrabars per chart bar"
string LTF10 = "~250 intrabars per chart bar"
string LTF11 = "~500 intrabars per chart bar"
string LTF12 = "~1000 intrabars per chart bar"
string TT_LTF = "This selection determines the approximate number of intrabars analyzed per chart bar. Higher numbers of
intrabars produce more granular data at the cost of less historical bar coverage, because the maximum number of
available intrabars is 200K.
\n\nThe first five options set the lower timeframe based on a specified relative level of chart bar coverage.
The last five options set the lower timeframe based on an approximate number of intrabars per chart bar."
string TAB_TXT = "Uses intrabars at the {0} timeframe.\nAvg intrabars per chart bar:
{1,number,#.#}\nChart bars covered: {2} of {3} ({4,number,#.##}%)"
string ERR_TXT = "No intrabar information exists at the {1}{0}{1} timeframe."
// ————— Inputs
string ltfModeInput = input.string(LTF3, "Intrabar precision", options = , tooltip = TT_LTF)
bool showInfoBoxInput = input.bool(true, "Show information box ")
string infoBoxSizeInput = input.string("normal", "Size ", inline = "01", options = )
string infoBoxYPosInput = input.string("bottom", "↕", inline = "01", options = )
string infoBoxXPosInput = input.string("right", "↔", inline = "01", options = )
color infoBoxColorInput = input.color(GRAY, "", inline = "01")
color infoBoxTxtColorInput = input.color(WHITE, "T", inline = "01")
// ————— Calculations
// @variable A "string" representing the lower timeframe for the data request.
// NOTE:
// This line is a good example where using `var` in the declaration can improve a script's performance.
// By using `var` here, the script calls `ltf()` only once, on the dataset's first bar, instead of redundantly
// evaluating unchanging strings on every bar. We only need one evaluation of this function because the selected
// timeframe does not change across bars in this script.
var string ltfString = LTF.ltf(ltfModeInput, LTF1, LTF2, LTF3, LTF4, LTF5, LTF6, LTF7, LTF8, LTF9, LTF10, LTF11, LTF12)
// @variable An array containing all intrabar `close` prices from the `ltfString` timeframe for the current chart bar.
array intrabarCloses = request.security_lower_tf(syminfo.tickerid, ltfString, close)
// Calculate the intrabar stats.
= LTF.ltfStats(intrabarCloses)
int chartBars = bar_index + 1
// ————— Visuals
// Plot the `avgIntrabars` and `intrabars` series in all display locations.
plot(avgIntrabars, "Average intrabars", color.silver, 6)
plot(intrabars, "Intrabars", color.blue, 2)
// Plot the `chartBarsCovered` and `chartBars` values in the Data Window and the script's status line.
plot(chartBarsCovered, "Chart bars covered", display = display.data_window + display.status_line)
plot(chartBars, "Chart bars total", display = display.data_window + display.status_line)
// Information box logic.
if showInfoBoxInput
// @variable A single-cell table that displays intrabar information.
var table infoBox = table.new(infoBoxYPosInput + "_" + infoBoxXPosInput, 1, 1)
// @variable The span of the `ltfString` timeframe formatted as a number of automatically selected time units.
string formattedLtf = PCtime.formattedNoOfPeriods(timeframe.in_seconds(ltfString) * 1000)
// @variable A "string" containing the formatted text to display in the `infoBox`.
string txt = str.format(
TAB_TXT, formattedLtf, avgIntrabars, chartBarsCovered, chartBars, chartBarsCovered / chartBars * 100, "'"
)
// Initialize the `infoBox` cell on the first bar.
if barstate.isfirst
table.cell(
infoBox, 0, 0, txt, text_color = infoBoxTxtColorInput, text_size = infoBoxSizeInput,
bgcolor = infoBoxColorInput
)
// Update the cell's text on the latest bar.
else if barstate.islast
table.cell_set_text(infoBox, 0, 0, txt)
// Raise a runtime error if no intrabar data is available.
if ta.cum(intrabars) == 0 and barstate.islast
runtime.error(str.format(ERR_TXT, ltfString, "'"))
//#endregion
█ EXPORTED FUNCTIONS
ltf(userSelection, choice1, choice2, ...)
Returns the optimal lower timeframe string based on user selection and current chart timeframe. Dynamically calculates precision to balance granularity with historical coverage within the 200K intrabar limit.
ltfStats(intrabarValues)
Analyzes an intrabar array returned by request.security_lower_tf() and returns statistics: number of intrabars in current bar, total chart bars covered, and average intrabars per bar.
█ CREDITS AND LICENSING
Original Concept : PineCoders Team
Original Lower TF Library :
License : Mozilla Public License 2.0
