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.
Recherche dans les scripts pour "100万新币等于多少人民币"
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
Multi EMA and SMA with VWAP Indicator📊 Custom Multi-MA & VWAP Indicator
A comprehensive and fully customizable moving average indicator that combines 6 Exponential Moving Averages (EMAs), 3 Simple Moving Averages (SMAs), and VWAP in one clean, easy-to-use tool.
✨ Features:
6 Configurable EMAs:
• Default periods: 9, 21, 50, 100, 150, 200
• Fully adjustable lengths
• Individual color customization
• Show/hide toggles for each EMA
3 Configurable SMAs:
• Default periods: 20, 50, 100
• Fully adjustable lengths
• Individual color customization
• Show/hide toggles for each SMA
• Thicker lines for easy distinction from EMAs
VWAP (Volume Weighted Average Price):
• Toggle on/off
• Customizable color and line width
• Essential for intraday trading and institutional levels
🎯 Use Cases:
• Trend identification and confirmation
• Support and resistance levels
• Entry and exit signals
• Multi-timeframe analysis
• Day trading and swing trading strategies
• Institutional price levels (VWAP)
⚙️ Fully Customizable:
Every aspect of this indicator is configurable through the settings panel:
• Adjust any MA period to fit your trading strategy
• Choose your preferred colors for better chart visualization
• Enable/disable specific MAs to reduce chart clutter
• Customize VWAP line thickness
📈 Perfect For:
• Traders who use multiple moving averages in their strategy
• Those seeking an all-in-one MA solution
• Clean chart organization with one indicator instead of multiple
• Both beginners and experienced traders
💡 Tips:
• Use shorter EMAs (9, 21) for quick trend changes
• Longer EMAs (100, 150, 200) act as strong support/resistance
• VWAP is particularly useful for intraday trading
• Customize colors to match your chart theme
Version: Pine Script v6
Overlay: Yes (plots directly on price chart)
Multi-Timeframe EMA & SMA Scanner - Price Level LabelsOverview
A powerful multi-timeframe moving average scanner that displays EMA and SMA levels from up to 8 different timeframes simultaneously on your chart. Perfect for identifying key support/resistance levels, confluence zones, and multi-timeframe trend analysis.
Key Features
📊 Multi-Timeframe Analysis
Monitor up to 8 different timeframes simultaneously (5m, 10m, 15m, 30m, 1H, 4H, 1D, 1W)
Each timeframe can be independently enabled/disabled
Fully customizable timeframe selection
📈 Comprehensive Moving Averages
5 configurable EMA periods (default: 8, 21, 50, 100, 200)
2 configurable SMA periods (default: 200, 400)
All periods are fully customizable to match your trading strategy
🎯 Smart Price Level Labels
Labels positioned at actual price levels (not in a list)
Color-coded labels for easy identification
Dynamic text color: Green when price is above, Red when below
Compact notation: E8-5m means EMA 8 on 5-minute timeframe
Adjustable label offset from current price
📉 Optional Horizontal Lines
Dotted reference lines at each MA level
Color-matched to corresponding MA type
Can be toggled on/off independently
📋 Comprehensive Data Table
Shows all MA values organized by timeframe
Displays percentage distance from current price
Trend indicator (Strong Up/Up/Neutral/Down/Strong Down)
EMA alignment status (Bullish/Bearish/Mixed)
Color-coded cells for quick visual analysis
🎨 Full Customization
Individual color settings for each MA type
Adjustable table size (Tiny/Small/Normal/Large)
Choose table position (Left/Right)
Toggle any MA or timeframe on/off
🔔 Built-in Alerts
Golden Cross detection (EMA 50 crosses above EMA 200)
Death Cross detection (EMA 50 crosses below EMA 200)
Price crossing major EMAs
Available for multiple timeframes
How to Use
For Day Traders:
Enable lower timeframes (5m, 10m, 15m, 30m)
Focus on faster EMAs (8, 21, 50)
Watch for confluence zones where multiple timeframe MAs cluster
For Swing Traders:
Enable higher timeframes (1H, 4H, 1D)
Use all EMAs plus SMAs for broader perspective
Look for alignment across timeframes for high-probability setups
For Position Traders:
Focus on daily and weekly timeframes
Emphasize 100, 200 EMAs and 200, 400 SMAs
Use for long-term trend confirmation
Understanding the Labels
Label Format: E8-5m 45250.50
E8 = EMA with period 8
5m = 5-minute timeframe
45250.50 = Current price level
Green text = Price is currently above this level (potential support)
Red text = Price is currently below this level (potential resistance)
For SMAs: S200-1D 44500.00
S200 = SMA with period 200
1D = Daily timeframe
Trading Applications
Support/Resistance Identification
MAs act as dynamic support and resistance levels
Multiple timeframe MAs create stronger zones
Confluence Trading
When multiple MAs from different timeframes cluster together, it creates high-probability zones
These areas often result in strong reactions
Trend Analysis
Check the Alignment column: Bullish alignment = all EMAs in ascending order
Trend column shows overall price position relative to all MAs
Entry/Exit Timing
Use lower timeframe MAs for precise entries
Use higher timeframe MAs for trend direction and exits
Settings Guide
Timeframes Section:
Select and enable/disable up to 8 timeframes
Default: 5m, 10m, 15m, 30m, 1H, 4H, 1D, 1W
MA Periods Section:
Customize all EMA and SMA periods
Default EMAs: 8, 21, 50, 100, 200
Default SMAs: 200, 400
Display Section:
Toggle price labels and horizontal lines
Adjust label offset (distance from right edge)
Show/hide data table
Choose table position and size
Colors Section:
Customize colors for each MA type
Each MA has independent color control
Pro Tips
✅ Start with default settings and adjust based on your trading style
✅ Disable timeframes/MAs you don't use to reduce chart clutter
✅ Use the data table for quick overview, labels for precise levels
✅ Look for "confluence clusters" where multiple MAs from different timeframes align
✅ Green labels = potential support, Red labels = potential resistance
✅ Set alerts on key crossovers for automated notifications
Technical Specifications
Pine Script v6
Overlay indicator (displays on main chart)
Maximum 500 labels supported
Real-time updates on each bar close
Compatible with all instruments and timeframes
Perfect For:
Day traders seeking multi-timeframe confirmation
Swing traders looking for high-probability setups
Position traders monitoring long-term trends
Anyone using moving averages as part of their strategy
Note: This indicator does not provide buy/sell signals. It's a tool for analysis and should be used in conjunction with your trading strategy and risk management rules.
The 'Qualified' POI Scorer [PhenLabs]📊 The “Qualified” POI Scorer (Q-POI)
Version: PineScript™ v6
📌 Description
The “Qualified” POI Scorer helps intermediate traders overcome "analysis paralysis" by filtering Smart Money Concepts (SMC) structures based on their probability. Instead of flooding your chart with every possible Order Block, this script assigns a proprietary “Quality Score” (0-100) to each zone. It analyzes the strength of the displacement, the presence of imbalances (FVG), and liquidity mechanics to determine which zones are worth your attention. It is designed to clean up your charts and enforce discipline by visually fading out low-quality setups.
🚀 Points of Innovation
Dynamic “Glass UI” Transparency that automatically fades weak zones based on their score.
Proprietary Scoring Algorithm (0-100) based on three distinct institutional factors.
Visual Icon System that prints analytical context (💧— 🚀/🐌—🧱) directly on the chart.
Automated Mitigation Tracking that changes the visual state of zones after they are tested.
Displacement Velocity calculation using ATR to verify institutional intent.
🔧 Core Components
Liquidity Sweep Engine: Detects if a pivot point grabbed liquidity from the previous X bars before reversing.
FVG Validator: Checks if the move away from the zone created a valid Fair Value Gap.
Momentum Scorer: Calculates the size of the displacement candle relative to the Average True Range (ATR).
🔥 Key Features
Quality Filtering: Automatically hides or dims zones that score below 50 (user configurable).
State Management: Zones turn grey when mitigated and delete themselves when invalidated.
Visual Scorecard: Displays the exact numeric score on the zone for quick decision-making.
Time-Decay Logic: Keeps the chart clean by managing the lifespan of old zones.
🎨 Visualization
High Score Zones (80-100): Display as bright, semi-solid boxes indicating high probability.
Medium Score Zones (50-79): Display as translucent “glass” boxes.
Low Score Zones (<50): Display as faint “ghost” boxes or are completely hidden.
Rocket Icon (🚀): Indicates high momentum displacement.
Snail Icon (🐌): Indicates low momentum displacement.
Drop Icon (💧): Indicates the zone swept liquidity.
Brick Icon (🧱): Indicates the zone is supported by an FVG.
📖 Usage Guidelines
Swing Structure Length (Default: 5): Controls the sensitivity of the pivot detection; lower numbers create more zones, higher numbers find major swing points.
ATR Length (Default: 14): Determines the lookback period for calculating relative momentum.
Minimum Quality Score (Default: 50): The threshold for which zones are considered “valid” enough to be fully visible.
Bullish/Bearish Colors: Fully customizable colors that adapt their own transparency based on the score.
Show Weak Zones (Default: False): Toggles the visibility of zones that failed the quality check.
✅ Best Use Cases
Filtering noise during high-volatility sessions by focusing only on Score 80+ zones.
Confirming trend continuation entries by looking for the Rocket (🚀) momentum icon.
Avoiding “stale” zones by ignoring any box that has turned grey (Mitigated).
⚠️ Limitations
The indicator is reactive to closed candles and cannot predict news-driven spikes.
Scoring is based on technical structure and does not account for fundamental drivers.
In extremely choppy markets, the ATR filter may produce lower scores due to lack of displacement.
💡 What Makes This Unique
It transforms subjective SMC analysis into an objective, quantifiable score.
The visual hierarchy allows traders to assess chart quality in milliseconds without reading data.
It integrates three separate SMC concepts (Liquidity, Imbalance, Structure) into a single tool.
🔬 How It Works
Step 1: The script identifies a Swing High or Low based on your length input.
Step 2: It looks backward to see if that swing swept liquidity, and looks forward to check for an FVG and displacement.
Step 3: It calculates a weighted score (30pts for Sweep, 30pts for FVG, 40pts for Momentum).
Step 4: It draws the zone with a transparency level designated by the score and appends the relevant icons.
💡 Note:
For the best results, use this indicator on the timeframe you execute trades on (e.g., 15m or 1h). Do not use it to find entries on the 1m chart if your analysis is based on the 4h chart.
纳斯达克涨2.5%以上//@version=5
indicator("纳斯达克大涨标记", shorttitle="NASDAQ+2.5%", overlay=true)
// 纳斯达克综合指数的符号
// 如果您想使用 E-mini 纳斯达克 100 期货 (NQ!) 或其他相关工具，请更改此符号
symbolName = "NASDAQ:IXIC"
// 目标涨幅百分比
targetPercentage = 2.5
// 获取纳斯达克指数的数据
// 使用 security() 函数获取不同品种的数据
nasdaq_close = request.security(symbolName, "D", close )
nasdaq_prev_close = request.security(symbolName, "D", close )
// 确保我们有足够的数据进行计算
isDataAvailable = not na(nasdaq_close) and not na(nasdaq_prev_close)
// 计算当天的涨幅百分比
// (今日收盘价 - 昨日收盘价) / 昨日收盘价 * 100
changePercentage = isDataAvailable ? (nasdaq_close - nasdaq_prev_close) / nasdaq_prev_close * 100 : na
// 检查条件：涨幅是否大于或等于目标百分比
isBigUpDay = changePercentage >= targetPercentage
// 绘制粉红色的点
plotshape(isBigUpDay,
title="大涨日",
location=location.belowbar, // 绘制在 K 线的下方
color=color.rgb(255, 0, 255, 0), // 纯粉红色
style=shape.circle,
size=size.small,
text="")
// 可以在图表底部显示涨幅百分比作为确认
plot(isBigUpDay ? changePercentage : na,
title="当日涨幅%",
color=color.rgb(255, 0, 255, 50),
style=plot.style_stepline,
trackprice=false)
// 警报示例 (可选)
// if isBigUpDay
// alert("纳斯达克当日涨幅达到 " + str.tostring(targetPercentage) + "% 或以上!", alert.freq_once_per_bar_close)
Cjack COT IndexHere's the updated description with the formula and additional context:
---
**Cjack COT Index - Commitment of Traders Positioning Indicator**
This indicator transforms raw Commitment of Traders (COT) data into normalized 0-100 index values, making it easy to identify extreme positioning across different trader categories.
**How It Works:**
The indicator calculates a min-max normalized index for three trader groups over your chosen lookback period (default 26 weeks):
- **Large Speculators** (Non-commercial positions) - typically trend followers
- **Small Speculators** (Non-reportable positions) - retail traders
- **Commercial Hedgers** - producers and consumers hedging business risk
The normalization formula is: **Index = (Current Position - Minimum Position) / (Maximum Position - Minimum Position) × 100**
This calculation shows where current net positioning sits between the minimum and maximum levels observed in the lookback window. A reading of 100 means current positioning equals the maximum net long over that period, 0 equals the minimum (most net short), and 50 is the midpoint of the range.
**Important:** The lookback period critically affects index readings - shorter lookbacks (13-26 weeks) make the index more sensitive to recent extremes, while longer lookbacks (52-78 weeks) provide broader historical context and identify truly exceptional positioning. Min-max normalization is essential because it makes positioning comparable across different contracts and time periods, regardless of the absolute size of positions.
**What It's Good For:**
The indicator excels at identifying **crowded trades** and potential reversals by tracking contrarian setups where commercials (smart money) position opposite to speculators. Background highlighting automatically flags:
- **Long setups** (green): Commercials heavily long while speculators are heavily short
- **Short setups** (red): Commercials heavily short while speculators are heavily long
The "Shift Index" option (enabled by default) displays last week's tradeable COT data aligned with current price action, ensuring you're working with actionable information since COT reports publish with a delay.
Works on weekly timeframes and below for commodities and futures with available COT data.
Relative Performance Areas [LuxAlgo]The Relative Performance Areas tool enables traders to analyze the relative performance of any asset against a user-selected benchmark directly on the chart, session by session.
The tool features three display modes for rescaled benchmark prices, as well as a statistics panel providing relevant information about overperforming and underperforming streaks.
🔶 USAGE
Usage is straightforward. Each session is highlighted with an area displaying the asset price range. By default, a green background is displayed when the asset outperforms the benchmark for the session. A red background is displayed if the asset underperforms the benchmark.
The benchmark is displayed as a green or red line. An extended price area is displayed when the benchmark exceeds the asset price and is set to SPX by default, but traders can choose any ticker from the settings panel.
Using benchmarks to compare performance is a common practice in trading and investing. Using indexes such as the S&P 500 (SPX) or the NASDAQ 100 (NDX) to measure our portfolio's performance provides a clear indication of whether our returns are above or below the broad market.
As the previous chart shows, if we have a long position in the NASDAQ 100 and buy an ETF like QQQ, we can clearly see how this position performs against BTSUSD and GOLD in each session.
Over the last 15 sessions, the NASDAQ 100 outperformed the BTSUSD in eight sessions and the GOLD in six sessions. Conversely, it underperformed the BTCUSD in seven sessions and the GOLD in nine sessions.
🔹 Display Mode
The display mode options in the Settings panel determine how benchmark performance is calculated. There are three display modes for the benchmark:
Net Returns: Uses the raw net returns of the benchmark from the start of the session.
Rescaled Returns: Uses the benchmark net returns multiplied by the ratio of the benchmark net returns standard deviation to the asset net returns standard deviation.
Standardized Returns: Uses the z-score of the benchmark returns multiplied by the standard deviation of the asset returns.
Comparing net returns between an asset and a benchmark provides traders with a broad view of relative performance and is straightforward.
When traders want a better comparison, they can use rescaled returns. This option scales the benchmark performance using the asset's volatility, providing a fairer comparison.
Standardized returns are the most sophisticated approach. They calculate the z-score of the benchmark returns to determine how many standard deviations they are from the mean. Then, they scale that number using the asset volatility, which is measured by the asset returns standard deviation.
As the chart above shows, different display modes produce different results. All of these methods are useful for making comparisons and accounting for different factors.
🔹 Dashboard
The statistics dashboard is a great addition that allows traders to gain a deep understanding of the relationship between assets and benchmarks.
First, we have raw data on overperforming and underperforming sessions. This shows how many sessions the asset performance at the end of the session was above or below the benchmark.
Next, we have the streaks statistics. We define a streak as two or more consecutive sessions where the asset overperformed or underperformed the benchmark.
Here, we have the number of winning and losing streaks (winning means overperforming and losing means underperforming), the median duration of each streak in sessions, the mode (the number of sessions that occurs most frequently), and the percentages of streaks with durations equal to or greater than three, four, five, and six sessions.
As the image shows, these statistics are useful for traders to better understand the relative behavior of different assets.
🔶 SETTINGS
Benchmark: Benchmark for comparison
Display Mode: Choose how to display the benchmark; Net Returns: Uses the raw net returns of the benchmark. Rescaled Returns: Uses the benchmark net returns multiplied by the ratio of the benchmark and asset standard deviations. Standardized Returns: Uses the benchmark z-score multiplied by the asset standard deviation.
🔹 Dashboard
Dashboard: Enable or disable the dashboard.
Position: Select the location of the dashboard.
Size: Select the dashboard size.
🔹 Style
Overperforming: Enable or disable displaying overperforming sessions and choose a color.
Underperforming: Enable or disable displaying underperforming sessions and choose a color.
Benchmark: Enable or disable displaying the benchmark and choose colors.
كلاستر
Detailed Description – Fibonacci Cluster Zones + OB + FVG (AR34)
This script is an advanced multi-layer confluence system developed under the AR34 Trading Framework, designed to identify high-accuracy reversal zones, liquidity imbalances, institutional footprints, and trend direction using a unified analytic engine.
It combines Fibonacci mathematics, Smart Money Concepts, market structure, and smart trend signals to produce precise, reliable trading zones.
⸻
🔶 1 — Fibonacci Retracement Zones + Custom Smart Levels
The script calculates the highest and lowest prices over a selected lookback period to generate key Fibonacci retracement levels:
• 0.236
• 0.382
• 0.500
• 0.618
• 0.786
• 1.000
You can also add up to three custom Fibonacci levels (0.66, 0.707, 0.88 or any value you want).
✔ Each level is drawn as a horizontal line
✔ Optional label display for every level
✔ Color and activation fully customizable
These levels help identify pullback zones and potential turning points.
⸻
🔶 2 — True Fibonacci Cluster Detection
The script automatically identifies Cluster Zones, which occur when:
1. A Fibonacci level
2. An Order Block
3. A Fair Value Gap
all overlap in the same price range.
When all three conditions align, the script prints a CLUSTER marker in yellow.
These zones represent:
• High-probability reversal areas
• Strong institutional footprints
• Highly reactive price levels
⸻
🔶 3 — Automatic Order Block (OB) Detection
The indicator detects Order Blocks based on structural candle behavior:
• Bearish candle → followed by bullish
• Price interacts with a Fibonacci level
• Area aligns with institutional order flow
When detected, the OB is marked for easy visualization.
⸻
🔶 4 — Fair Value Gap (FVG) Mapping
The script scans for liquidity imbalances using the classic FVG logic:
• low > high
When an FVG exists, it draws a green liquidity box.
This highlights:
• Gaps left by institutional moves
• High-value return zones
• Efficient price retracement levels
⸻
🔶 5 — Fibonacci Extension Projections
The script calculates extension targets using:
• 1.272
• 1.618
• 2.000
These are drawn as dashed teal lines and help forecast:
• Breakout continuation targets
• Wave extension objectives
• Take-profit areas
⸻
🔶 6 — Smart Trend Signal (EMA-200 Engine)
Trend direction is determined using the EMA 200:
• Price above EMA → uptrend
• Price below EMA → downtrend
A green or red signal icon appears only when the trend flips, reducing noise and improving clarity.
This helps detect:
• Trend shifts early
• Cleaner entries and exits
• Trend-based filtering
⸻
🔶 7 — Four-EMA Multi-Trend System
The indicator includes optional visualization of four moving averages:
• EMA 20 → Short-term
• EMA 50 → Medium-term
• EMA 100 → Long-term
• EMA 200 → Major trend
All are fully customizable (length + color + visibility).
⸻
🔶 8 — Dynamic Negative Fibonacci Levels (Green Only)
When enabled, the script calculates deep retracement zones using:
• –0.23
• –0.75
• –1.20
These negative Fibonacci levels are drawn in green and help identify:
• Deep liquidity capture points
• Hidden structural supports
• Potential reversal bottoms
⸻
🔶 9 — Complete User Control
Users maintain full control over:
✔ Enabling/disabling OB detection
✔ Enabling/disabling FVG detection
✔ Activating custom Fibonacci levels
✔ Showing or hiding labels
✔ Selecting timeframe for Fib calculations
✔ Adjusting moving average parameters
✔ Activating dynamic Fibonacci
The script is designed to be flexible, scalable, and suitable for any trading style.
⸻
🎯 Summary
This indicator is a powerful all-in-one analytical system that merges:
✔ Fibonacci Mathematics
✔ Smart Money Concepts (OB + FVG)
✔ Trend-based filtering
✔ Institutional cluster detection
✔ Dynamic extensions + retracements
✔ Multi-EMA trend mapping
شرح السكربت بالتفصيل – Fibonacci Cluster Zones + OB + FVG (AR34)
هذا السكربت هو نظام تحليل احترافي متكامل من تطوير AR34 Framework يجمع بين أقوى أدوات التداول الحديثة في مؤشر واحد، ويهدف إلى كشف مناطق الانعكاس القوية، والتجميع الذكي، والاتجاه العام، باستخدام مزيج علمي من فيبوناتشي + السيولة + الاتجاه.
يعمل هذا المؤشر بأسلوب Confluence Trading بحيث يدمج عدة مدارس مختلفة في طبقة واحدة لتحديد مناطق الانعكاس والارتداد والاختراق بدقة عالية.
⸻
🔶 1 — مناطق فيبوناتشي (Retracement) + الكلاستر الذكي
يقوم المؤشر بحساب أعلى وأدنى سعر خلال عدد محدد من الشموع (Retracement Length) ثم يرسم مستويات فيبوناتشي الكلاسيكية:
• 0.236
• 0.382
• 0.500
• 0.618
• 0.786
• 1.000
مع إمكانية إضافة 3 مستويات خاصة من اختيارك (0.66 – 0.707 – 0.88 وغيرها).
✔️ كل مستوى يتم رسمه بخط مستقل
✔️ يظهر بجانبه رقم المستوى إذا تم تفعيل خيار Show Fib Labels
✔️ يمكن تغيير لونه، قيمته، وتفعيله حسب رغبتك
⸻
🔶 2 — كاشف الكلاستر الحقيقي (Cluster Detection)
الكلاستر يُعتبر أقوى مناطق الارتداد في التحليل الفني.
السكربت يحدد الكلاستر عندما تتداخل 3 عناصر مع مستوى فيبوناتشي:
1. مستوى فيبوناتشي مهم
2. Order Block
3. Fair Value Gap
إذا اجتمعت الثلاثة في نفس المنطقة، يتم رسمها باللون الأصفر وتظهر كلمة CLUSTER.
هذا يعطيك:
• أقوى منطقة انعكاس
• أعلى دقة في تحديد نقاط الدخول
• مناطق ذات سيولة مرتفعة
⸻
🔶 3 — دمج Order Blocks تلقائياً
يكتشف المؤشر الـ OB الحقيقي باستخدام شروط حركة الشموع:
• bearish candle → bullish candle
• السعر لمس مستوى فيبوناتشي
• منطقة محتملة لتجميع المؤسسات
إذا تحققت الشروط يظهر OB باللون الأحمر.
⸻
🔶 4 — دمج Fair Value Gaps (FVG)
يكتشف الفجوات السعرية بين الشمعتين الأولى والثالثة:
• low > high
ويقوم برسم بوكس أخضر حول الفجوة (FVG Zone).
يساعدك على معرفة:
• مناطق اختلال السيولة
• أهداف السعر القادمة
• مناطق “العودة” المحتملة
⸻
🔶 5 — امتدادات فيبوناتشي (Fibonacci Extensions)
يقوم بحساب الامتدادات من مستويات:
• 1.272
• 1.618
• 2.0
ويظهرها بخطوط متقطعة (Teal Color).
هذه المستويات مهمة لتوقع:
• أهداف اختراق
• مناطق TP
• امتداد موجات السعر
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🔶 6 — إشارة الاتجاه الذكية (Smart Trend Engine – EMA200)
يعتمد على EMA 200 لتحديد الاتجاه العام:
• إذا السعر فوق EMA200 → اتجاه صاعد
• إذا السعر تحت EMA200 → اتجاه هابط
ويظهر المؤشر:
🟢 سهم أخضر عند تحول الاتجاه لصعود
🔴 سهم أحمر عند تحول الاتجاه لهبوط
ميزة التحول فقط عند تغيير الاتجاه (No Noise).
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🔶 7 — أربع موفنقات احترافية (EMA 20 – 50 – 100 – 200)
المؤشر يعرض الموفنقات الأربعة الأساسية:
• EMA 20 → اتجاه قصير
• EMA 50 → متوسط
• EMA 100 → طويل
• EMA 200 → الاتجاه الرئيسي
مع إمكانية:
• تغيير اللون
• تغيير الطول
• إخفائها وإظهارها
⸻
🔶 8 — فيبوناتشي الديناميكي (Dynamic Green Fib)
ميزة قوية جداً تظهر فقط عند تفعيلها.
تحسب أعلى وأدنى سعر في Lookback Period ثم ترسم مستويات سلبية:
• –0.23
• –0.75
• –1.20
هذه المستويات تظهر كخطوط خضراء تحت السعر وتستخدم لـ:
• تحديد مناطق الانعكاس المخفية
• رصد الدعم الديناميكي
• اكتشاف القيعان المحتملة
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🔶 9 — المرونة الكاملة للمستخدم
المؤشر يسمح لك التحكم بكل شيء:
✔️ تفعيل/إلغاء الـ OB
✔️ تفعيل/إلغاء الـ FVG
✔️ تفعيل/إلغاء مستويات فيبوناتشي
✔️ إضافة مستويات مخصصة
✔️ اختيار الفريم المستخدم
✔️ تغيير الألوان
✔️ التحكم في الاتجاه والموفنقات
⸻
🎯 الخلاصة
هذا السكربت يعمل كنظام تحليلي متكامل يجمع:
✔️ فيبوناتشي
✔️ السيولة المؤسسية (OB + FVG)
✔️ الاتجاه الذكي
✔️ الكلاستر الاحترافي
✔️ الموفنقات
✔️ فيبوناتشي الديناميكي
