AITI Investa: Trend FollowingScript ini dibuat untuk membantu strategi trend following harian pada saham-saham di IHSG.
Terdiri dari:
1. Petunjuk visual untuk area trend yang sebaiknya dihindari ( bearish trend ), berupa background berwarna merah. Dimana area bearish trend adalah ketika garis fast ema berada di bawah garis slow ema .
2. Batas stop loss / trailing stop, dengan acuan nilai ATR.
Script ini tidak memberikan sinyal buy. Silakan gunakan strategi buy on weakness/breakout sesuai analisa dan preferensi masing-masing. Untuk mencari entry trigger, penulis merekomendasikan untuk menarik garis support/resistance manual dan digabungkan dengan indikator MACD & CCI sebagai konfirmasi.
-AITI Investa
Cari dalam skrip untuk "CCI"
EMA 4 => 30Min & 1Hi use this script in 1h and 30min chart with this setting:
ema 6, ema 12, ema 18 & ema 24 and use adx and di, macd and cci indicator to get confirmation.
RIVA KELLER CCI and BB 1HCriei este indicador com a finalidade de ajudar iniciantes no mercado a encontrarem os ponto de entrada e exaustão.
Pontos de entrada irão aparecer no indicador como "COMPRAR'' ou ''VENDER'', com o histograma na cor verde ou vermelha.
Regiões de exaustão irão aparecer no histograma em amarelo(sobrecompra) e azul (sobrevenda).
Indicador pronto para ser utilizado no mercado Forex em tempo gráfico de 1H, take profit sugerido de 100pips e stop loss máximo de 250pips.
Recomendo analisar o gráfico com uma bollinger Bands de 20 períodos, com desvio de 2.0, sempre entrando quando o preço estiver dentro das bandas, com stop loss na banda superior se a operação for de venda e stop loss na banda inferior se a operação for de compra.
I created this indicator with the purpose of helping beginners in the market to find the entry and exhaustion points.
Entry points will appear on the indicator as "BUY '' or '' SELL '', with the histogram in green or red.
Exhaustion regions will appear in the histogram in yellow (overbought) and blue (oversold).
Indicator ready to be used in the Forex market in 1H chart time, suggested take profit of 100pips and maximum stop loss of 250pips.
I recommend analyzing the chart with a 20-period bollinger band, with a deviation of 2.0, always entering when the price is within the bands, with stop loss in the upper band if the operation is for sale and stop loss in the lower band if the operation is for purchase.
Divergence Histogram for Many IndicatorHello Traders,
This script analyses divergences for 11 predefined indicators and then draws column on the graph. Red columns for negatif divergence (means prices may go down or trend reversal), Lime columns for positive divergences (means prices may go up or trend reversal)
The script uses Pivot Points and on each bar it checks divergence between last Pivot Point and current High/Low and if it finds any divergence then immediately draws column. There is no Latency/Lag.
There are predefined 11 indicators in the script, which are RSI , MACD , MACD Histogram, Stochastic , CCI , Momentum, OBV, Diosc, VWMACD, CMF and MFI.
Smaller Pivot Point Period check smaller areas and if you use smaller numbers it would be more sensitive and may give alerts very often. So you should set it accordingly.
There is "Check Cut-Through in indicators" option, I recomment you to enable it. it checks that there is cut-through in indicators or not, if no cut-through then it's shown as valid divergence.
You should see following one as well if you haven't yet:
Enjoy!
TSI CCI HullUsed for a trend following strategy. Not going to explain the indicator its basically self explanatory. Only trade LOW VOLATILITY (USE ATR (average true range) TO GAUGE)! It only wokrs well in low volatility!
Indicators all in oneHello Everyone . Sometimes we need some indicators and each one needs seperated window. with this tool we can see indicators by choosing it from pull down menu, in the same window.
Currently you can choose RSI, MACD, Commodity Channel Index (CCI), Momentum, Stochastic, Stochastic RSI, Directional Movement Index (DMI), Chaikin Money Flow (CMF), On-Balance Volume (OBV), Average True Range (ATR), Volume Weigthed MACD (VWMACD).
some screen shots:
DMI:
MACD:
Stochastic RSI
Let me know if you need any other indicator in this tool.
Enjoy!
Patient Trendfollower (7)(alpha)Patient Trendfollower consists of 21 and 55 EMA, Commodity Channel Index and Supertrend indicator. It confirms a trend and gives you a signal on a pullback. Original creation worked on 1h EURUSD chart.
►Long setup:
• 21 EMA is above 55 EMA, which is above the Supertrend indicator.
• Commodity Channel Index is an oscillator, which prints into the chart if extreme levels are reached. Green is for a level above 100 or below -100, red is above 140 or below -140 and black is above 180 or below -180.
• If 21 EMA > 55EMA > Supertrend and an oversold signal appear, you can buy into the trend.
• When backtesting on 1h EURUSD, profit target 400 pips worked best with a stop-loss below Supertrend's bottom and the size of your spread.
• A picture shows two valid entries.
: This part still malfunctions and shows red dots over some green ones. It is important to disable red ones in the settings to see green ones.
Some more long signals:
Some short signals:
►Backtesting data with default settings and trading only green CCI signals with mentioned risk management strategy:
• 212 closed trades
• 58.96% profitable with average win trade 348 USD and average loss trade 263 USD when only green signals are followed.
• Profit factor 1.903, Sharpee 0.792
• 20 bars is average for all trades, short trades were 18 bars long on average.
With given data, you can see the strategy is profitable by itself. However, original risk management settings do work only on 1h charts of EURUSD and would need to be adjusted for other instruments based on average volatility.
Even though the profitability is low, you can increase your odds by a great margin, if you properly use price action (impulsive and corrective moves, patterns, bar analysis), if you trade when major exchanges are open, you may also use wave analysis such as Elliot Waves or Market Profiles to predict whether the next day might be a trending day. My backtesting program didn't consider these ideas.
Unfortunately, I won't be making backtesting strategy public with it anytime soon, because it still has some parts that do not work. I am ok with that since I understand the code and know what does malfunction and how. Then, there are parts which I am not sure how to fix yet. This is why the indicator is still considered alpha.
In the future when a strategy is published, you will also be able to set your own overbought/oversold values without entering the code itself and probably some other features. But I am not in a hurry for that. You can give me feedback on UX and try to figure out the best setups for other symbols, it might help to improve the automatic testing script when I know what I should achieve. My main point is to make this public for friends who can already be using it on EURUSD at least.
Close doesn't always have to be 400 pips, you might want to close on a logical level such as strong resistance or a trendline too.
Thanks to:
• @everget for providing Supertrend solution.
• Satik FX who hand-tested the system by hand and reported results in this article . He is my main inspiration for creating the complete indicator as one because I want to be able to show and hide it with a single click. My future scripts will also work as a whole strategy each by itself.
• The number in the script's name comes from Satik's numbering. A mentioned article was his seventh shared strategy.
Divergence for many indicator v3Hello Everyone. Almost one year later, with Pine version 4, I developed new version of the Divergence for many Indicator.
It analyses divergences for 10 predefined indicators and then draws line on the graph. Red for negatif divergence (means prices may go down or trend reversal), Lime for positive divergences (means prices may go up or trend reversal)
Divergences version 2 has latency because it waits higher time frame completion. in this new version the script uses Pivot Points and on every bar it checks divergence between last Pivot point and current bar and if it finds any then immediately draws line and removes old one. so there is no latency with this version.
There are predefined 10 indicators in the script, you have option to choose which indicators the script would analyse for divergence. (RSI , MACD , MACD Histogram, Stochastic , CCI , Momentum, OBV, Diosc, VWMACD and CMF)
In replay mode you can see how the script puts new divergence line and removes old one. you better see it for yourself by using replay mode.
Hope you Enjoy!
Technical Analysis - Panel Info//A. Oscillators & B. Moving Averages base on TradingView's Technical Analysis by ThiagoSchmitz
//C.Pivot base on Ultimate Pivot Points Alerts by elbartt
//D. Summary & Panel info by anhnguyen14
Panel Info base on these indicators:
A. Oscillators
1. Rsi (14)
2. Stochastic (14,3,3)
3. CCI (20)
4. ADX (14)
5. AO
6. Momentum (10)
7. MACD (12,26)
8. Stoch RSI (3,3,14,14)
9. %R (14)
10. Bull bear
11. UO (7,14,28)
B. Moving Averages
1. SMA & EMA: 5-10-20-30-50-100-200
2. Ichimoku Cloud - Baseline (26)
3. Hull MA (9)
C. Pivot
1. Traditional
2. Fibonacci
3. Woodie
4. Camarilla
D. Summary
Sum_red=A_red+B_red+C_red
Sum_blue=A_blue+B_blue+C_blue
sell_point=(Sum_red/32)*100
buy_point=(Sum_blue/32)*100
sell =
Sum_red>Sum_blue
and sell_point>50
Strong_sell =
A_red>A_blue
and B_red>B_blue
and C_red>C_blue
and sell_point>50
and not crossunder(sell_point,75)
buy =
Sum_red>Sum_blue
and buy_point>50
Strong_buy =
A_red50
and not crossunder(buy_point,75)
neutral = not sell and not Strong_sell and not buy and not Strong_buy
Roofing Filter [DW]This is an experimental study built on the concept of using roofing filters on price data proposed by John Ehlers.
Roofing filters are a type of bandpass filter conventionally used in HF radio receivers in the first IF stage to limit the frequency spectrum passed on to later stages in the receiver.
The goal in applying roofing filters to a price signal is to simultaneously attenuate high frequency noise and low frequency distortion to pass an oscillating signal with a nearly zero mean for analysis and/or further calculation.
In this study, there are three filter types to choose from:
-> Ehlers Roofing Filter, which passes data through a 2 pole high pass filter, then through a Super Smoother filter.
-> Gaussian Roofing Filter, which passes data through a 2 pole Gaussian high pass filter, then through a 2 pole Gaussian low pass filter.
-> Butterworth Roofing Filter, which passes data through a 2 pole Butterworth high pass filter, then through a 2 pole Butterworth low pass filter.
Each filter type has different amplitude and delay characteristics, so play around with each type and see which response suits your needs best.
There is an option to normalize the scale of the output as well. The normalization process in this script is computed by comparing positive and negative outputs to the filter's moving RMS value.
The resulting oscillator can be fed through numerous conventional indicators including Stochastic Oscillator, RSI, CCI, etc. to generate smoother, less distorted indicators for a clearer view of turning points.
Alternatively, it can also act as an indicator itself, as implied by the corresponding color scheme included in the script.
Although roofing filters are not conventionally used in the analysis of market data, applying such spectral analysis techniques may prove to be quite useful for the design of more efficient indicators and more reliable predictions.
CL Trend VisualizationA trend strength indicator for visualizing momentum. Built from 5 different CCI periods and their averages.
Experimental.
Frankstein by Ben FrankFrankstein is my custom colors for The Ichimoku Cloud which is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on the chart. It also uses these figures to compute a "cloud" which attempts to forecast where the price may find support or resistance in the future.
I recommend using the parabolic Sar and CCI with The Frankstein
How To Use Dynamic ZonesExample of how to apply and use Dynamic Zones with an indicator by injecting it's source into my adaptation of the original idea by Leo Zamansky, Ph.D., and David Stendahl.
• Load your desired oscillating indicator on your chart (CCI, RSI, etc).
• Load my "How To Use Dynamic Zones" indicator on your chart.
• In the "How To Use Dynamic Zones" indicator settings choose your desired oscillating indicator as the Oscillator Source.
You will now have dynamic overbought and oversold levels. I have also included alerts which may be used to indicate when these conditions occur.
If desired you may repeat the above process by loading additional indicators along with additional copies of my indicator to use with each oscillator.
Oscillator Source: CLOSE uses your chosen indicator as a source or you may use price as a source
Sample Length: 70 uses number of previous values for evaluating
Hi is Above X% of Sample: 88 sets overbought zone
Lo is Below X% of Sample: 88 sets oversold zone
The simplest explanation of what these default settings are doing is that they take 70 previous values of your chosen indicator, then create an overbought level that is above 88% of those previous values and an oversold level that is below 88% of those previous values. As new bars form the levels are dynamically reevaluated and updated.
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"This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading levels. However, these oscillator driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system."
Reference: Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph.D., and David Stendahl
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NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Multifactor Inverse Fisher Strategy (ps4)Best for higher time frames - 30m, 1H, 2H, 3H, 4H, D this strategy uses several factors that are pushed through an Inverse Fisher Transform (IFT). The higher the TF, the better the performance, up to 98%, but the number of deals tends to drop). Middle time frames (5m, 15m) look viable with Scaled Price (Scaled %P) and MFI factors. The factor list can be extended to include cci, stoch, rsi_stoch, emo, macd, cog, dpo, roc, accdist, cctbb, mom, awesome, tva, etc. Some of them need to be rescaled to a 0..100 interval. The IFT produces a value in the -1..1 interval (see: www.mesasoftware.com). This indicator does NOT repaint.
PriceDivergence (ps4)This script implements price divergence module using signals from several factors like:
RSI, RSI Stochastic, MACD, Volume MA, Accumulation/Distribution, Fisher Transform and CCI
Standard Deviation - Sum Of The Squares Minus Square Of The SumsIntroduction
The standard deviation measure the dispersion of a data set, in short this metric will tell you if your data is on average closer or farther away from the mean. Its one of the most important tools in statistics and living without it is pretty much impossible, without it you can forget about Bollinger-bands, CCI, and even the LSMA (ouch this hurt) .
Now i don't want to extend myself about the standard deviation since that would require a huge post but i want to show you how to calculate the standard deviation from the stdev pinescript function.
Sum Of The Squares Minus Square Of The Sums
Any metric calculated from a moving average can be classified as "running", this mean that the metric constantly update itself and is not constant, this is why it is better to say "running standard deviation" but its okay. If we use the standard calculation for the standard deviation which would be sqrt(sma(pow(close - sma,2))) we might get something totally different from the stdev function :
In white the pine stdev function and in red the standard calculation of both period 4, its clear that both are not the same, one might try to use the Bessel's correction but that won't do either, this is because most technical analysis tools will calculate the square root of the "Sum Of The Squares Minus Square Of The Sums" method to estimate the standard deviation
Another way is to use :
a = sqrt(sma(pow(close,2),length) - pow(sma(close,length),2))
By returning the difference we might still see some errors :
Nothing relevant of course.
Conclusion
Some of you might already be aware of this but a reminder is always good since it can be confusing to make what can be considered the good standard deviation formula and then have something totally different from the pine function, i hope this post will be useful and that you learned something from it.
Thanks for reading :)
Woodies CCI + CZ + SW indicatorsBased on
Changes:
- red bars removed and replaced by silver ones
- yellow bar (start of new trend) had been added
- more parameters can be set in settings dialogue (SW constants as well)
Volume Momentum [LucF]Volume momentum gives much more information than a simple volume MA. It does require interpretation however, since increasing volume momentum can indicate strengthening of both an up or down movement. Volume momentum peaks and bottoms are also interesting as they often lead to shifts in price movement.
In order to help interpretation, I color rising volume momentum using price momentum. Green indicates volume-supported upward price movement and red indicates volume-supported downward price movement.
As to falling volume momentum, in my world view it indicates exhaustion or disinterest which requires prior price activity to be interpreted. In strong and steady price movements it can indicate a mere pause. After high price volatility often signalling a top or bottom, falling volume momentum often leads reversals.
Features
Two optional MAs on the main volume momentum line, with crosses on the short MA.
A higher time frame line (shown by default), with the higher time frame being a user-defined multiple of the current chart’s interval. The default is 8, so that a 15m chart will also show a 2h volume momentum.
Two Markers
Tops/Bottoms (marker 1): these occur on high/low price momentum pivots situated in favorable regions, combined with volume momentum peaks.
Pauses/Reversals (marker 2): these simply identify volume momentum high pivots that often lead to shifts in price movement. They are not directional. You can choose to color bars where these markers occur (shown on chart).
You can show only long or short markers.
Alerts
You can define alerts on any combination of markers you configure. After defining the markers you want the alert to trigger on, make sure you are on the interval you want the alert to be monitoring at, then create the alert, select Volume Momentum, use the default “Configured Markers” alert condition and choose your triggering window (usually “Once Per Bar Close”). Once the alert is created, you can change the indicator's inputs with no effect on the alert.
Use Cases
The higher time frame line is very useful in situating current volume activity in a larger context.
I consider all peaks in volume momentum as potentially significant events.
When looking for an entry, I will often wait for the descending volume momentum to change direction at a shorter interval, using price momentum to confirm that increasing volume is working in my favor.
Volume momentum variations can often inform otherwise insignificant price momentum activity.
Here I use price momentum to color volume momentum; inversely, I also use volume momentum to color my momentum indicator.
Notes
Where the markers on my Volume Columns indicator focus on confirming strength of price movements, this indicators’ markers try to focus on shifts in price movement.
My volume momentum is calculated using a smoother variant of CCI which came to be known as WaveTrend.
