SuperTrend OptimizerHello!
This indicator attempts to optimize Supertrend parameters. To achieve this, 102 parameter combinations are tested concurrently - the top three performers are listed in descending order.
Parameters,
Factor: Changes to this parameter shifts the tested factor range. For instance, increasing the factor measure from 3.00 to 3.01 (+0.01) will remove 3.00 from the tested range - this setting controls the lower threshold of the range. The upper threshold, in all instances, is the lower Factor threshold + 3.3 (i.e. 3.0(lower) - 6.3(upper), 4.0(lower) - 7.3(upper), 2.5(lower) - 5.8(upper))
ATR period: Changes to this parameter shifts the tested ATR period range. For instance, increasing the ATR measure from 10 to 11 (+1) will remove 10 from the tested range - this setting controls the lower threshold of the range. The upper threshold, in all instances, is the lower threshold + 2 (i.e. 10(lower) - 12(upper), 11(lower) - 13(upper), 9(lower), - 11(upper))
The Factor parameter is modifiable to any positive decimal number; the ATR parameter is modifiable to any positive integer. Changing either parameter shifts the tested parameter combination range. Both parameters can be changed in the settings, to which you control the lower threshold of the range. If, for instance, you were to change the Factor measurement from 3.0 to 4.1 (+1.1) the 4.0 Factor measurement, and all Factor measures less than 4.0, will be excluded from the performance test.
Consequently, a Supertrend test will be performed with a Factor of 4.1 and an ATR period of 10 (default). This test repeats at 0.1 Factor intervals and 1.0 ATR intervals.
Therefore, assume you modify the Factor lower threshold to 3.1 and the ATR lower threshold to 10. The indicator will test three Supertrend systems with a Factor of 3.1 and an ATR period of 10.. then 11.. 12, then three systems with a Factor of 3.2 and an ATR period of 10.. then 11.. 12... until (lower Factor threshold + 3.3) and (lower ATR threshold + 2) are tested... which in this example is... a Factor of 6.4 and an ATR period of 12.
The tested Factor range and ATR range are displayed in a bottom right table alongside the top performing parameter combinations.
Of course, you can change the the lower thresholds, which means you can test numerous Supertrend parameter combinations! However, no greater than 102 parameter combinations will be tested simultaneously; the best performing Supertrend parameters are plotted on the chart automatically.
I will be working on this indicator more tomorrow! Let me know if you have questions or anything you would like included!
(I of course added something fun in the script. Be sure to try it with bar replay!)
Cari dalam skrip untuk "跨境通12月4日地天板"
200DMA last DOM - ajhImplements and backtests a simple 200 day moving average trend following rules based on last day of month to limits trades to 12 per year.
From the book : 5 BEST Moving Average Strategies (That beat buy and hold) by Steve Burns and Holly Burns
Click on the cog to set the input date range eg; 2000-01-01 to 2016-12-31
The book back tested SP500 returns from 2000-2016 317% using this method vs 125% buy and hold only with less drawdown.
Simple 200 day moving average test and trading on last day of month.
(you may find it trades on next available day close to end of month as not all dates can be traded weekends etc..)
Rules are ;
1. if last day of month and stock over 200 day moving average, then go long 100%
2. if last day of month and stock under 200 day moving average, then close long 100% and goto cash.
Aims to miss market declines and keep you long for upside.
Note: Have found doesn't work well in choppy markets moving sideways like the FTSE100 for same period 2000-2016 and causes losses. Also for many stocks.
AZ Column ColorThis indicator is based on ema cross-over (12,26).
In Thailand, the ema 12,26 Cross over is well known as the CDC-ACTION ZONE indicator.
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The definition of a bullish trend in this indicator is when the fast ema crosses up the slow ema .
The definition of a bearish trend is when the fast ema crosses down the slow ema .
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When fast ema is over slow ema the column will show in a green column and when fast ema is below slow ema the column will show in a red column.
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I have made this indicator for use with CDC-ACTION ZONE.
Trading sessions, Ichimoku and Classic Pivots█ OVERVIEW
This a self contained intraday trading style for crypto/forex made to be on and traded on 15-min.
This Script Creates a box around each major session to a trading range, include highlights for the first 12 15-min candles, classic Pivot points and ichimoku cloud.
█ CONCEPTS
1 — Session boxes and ranges are based of the times from Steve from Beat the market maker, and you have the option in setting to have an extension for the high/low until the start of the next box calculation.
2 — 12 candle window, this marks the first 3 hours after a open;
The first hour - stop hunt
The second hour - big moves
The third hour - tend continuation or reversal
3 — The Days of the weeks are labelled and coloured;
Weekends are in grey, ideally no trade days.
Monday, Tuesday, Thursday are green, to mark the week days
Wednesday is red to be mindful of mid week reversal
Friday is red to mark the end of week
4 — Ichimoku cloud, by default the only thing visible is the kumo cloud, but in setting you can turn the line back on. Ichimoku proves a great mark for areas to look for support and resistances.
5 — Lastly, you have classic pivots, by default they are extend to the right and on weekly, Each level act as support and resistance. Look for Bullish momentum at R3 for a larger moves to the upside.
Ichimoku and the pivot are here mainly for when you want to do higher time frame analysis.
█ OTHER SECTIONS
• HOW TO USE
Example of a trade
**Key thing to remember is London will set the high in a down trend and the low in an up trend
you can see the first hour look for stops and stopped at 50% of the range set coming into the session, the second hour a big move to the down side hitting 200% expansion then the third hour reversal stopping wick up then
back down from from London low. before continuing down.
• LIMITATIONS: I have not test this on Stock, as I have a different strategies for those market
• NOTES : I know a lot of people have moving averages on their chart, I have another separate one with all MA types, and it something that will not fit into one script, Other things you can add with this Bollinger bands, and
fib tool with 50%, 100%, 150% and 200%
Moon Phases Strategy 2015 till 2021Moon Phases Strategy
Thank you to Author: Dustin Drummond for allowing me to use his Moon Phase strategy code and modify it. I wanted to test out the accuracy of the moon phase. And I could not have done it without his code
It was created to test the Moon Phase theory compared to just a buy and hold strategy.
It buys on full Moon and sells on the new moon. I also have added the ability to add stop loss and target profit if anyone wants to tinker with it. This strategy uses hard-coded dates from 1/1/2015 until 12/31/2021 only! Any dates outside of that range need to be added manually in the code or it will not work.
I may or may not update this so please don't be upset if it stops working after 12/31/2021.
Feel free to use any part of this code and please let me know if you can improve on this strategy.
Result:
50% accurate using data from 2015 till today.
I find a buy and hold strategy to have outperformed the moon phase.
It does have its value. It might be used as a confluence with other established indicators.
RSI Candle with Advanced RSI fomulaRSI Advanced
As the period value is longer than 14, the RSI value sticks to the value of 50 and becomes useless.
Also, when the period value is less than 14, it moves excessively, so it is difficult for us to see the movement of the RSI.
So, using the period value and the RSI value as variables, I tried to make it easier to identify the RSI value through a new function expression.
This is how RSI Advanced was developed.
Period values below 14 reduce the volatility of RSI, and period values greater than 14 allow wider fluctuations, allowing overbought and oversold zones to work properly and give you a better view of the trend.
I also changed the RSI by applying the appropriate function expression so that the RSI with a period value of 168 (=14*12) on a 5 minute timeframe has the same value as the RSI on a 60 minute timeframe with a period value of 14.
As another example, an RSI with a period value of 56 (=14*4) in a 15-minute time frame has the same value as an RSI with a period value of 14 in a 60-minute time frame.
Compare the difference in the RSI with a period value of 200 in the snapshot.
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RSI Candlestick
RSI derives its value using only the closing price as a variable. I solved the RSI equation in reverse and tried to include the high and low prices of candlesticks in the equation.
As a result, 'if the high or low was the closing price, the value of RSI would be like this' was implemented. Just like when a candle comes down after setting a high price, an upper tail is formed when RSI Candle goes down after setting a high price!!
In divergence, we had to look only at the relationship between closing prices, but if we use RSI candles, we can find divergences in highs and highs, and lows and lows.
Then enjoy my RSI!
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RSI Advanced
기간값이 14보다 길어질수록 RSI값은 50값에 달라붙게되어서 쓸모가 없어집니다.
또 기간값이 14보다 줄어들수록 과도하게 움직여서 우리는 RSI의 움직임을 보기가 힘듭니다.
그래서 기간 값과 RSI 값을 변수로 사용하여 새로운 함수 식을 통해 RSI 값을 식별하기 편하도록 해보았습니다.
이렇게 RSI Advanced가 개발되었습니다.
기간값이 14보다 낮으면 rsi의 변동폭이 줄어들고, 기간값이 14보다 크면 변동폭이 넓어져 과매수 및 과매도 영역이 제대로 작동하여 추세를 더 잘 볼 수 있습니다.
또한 저는 5분 타임프레임의 기간값이 168(=14*12)인 RSI가 주기 값이 14인 60분 타임프레임의 RSI와 동일한 값을 갖도록 적절한 함수 표현식을 적용하여 RSI를 변경했습니다.
다른 예로, 15분 시간 프레임에서 기간값이 56(=14*4)인 RSI는 60분 시간 프레임의 기간값이 14인 RSI와 동일한 값을 갖습니다.
기간값이 200인 RSI의 차이를 스냅샷에서 비교해보십시오.
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RSI Candlestick
RSI는 종가만을 변수로 사용하여 값을 도출해냅니다. 저는 RSI 식을 역으로 풀어내어서 캔들스틱의 고가와 저가를 식에 포함시켜보았습니다.
결과적으로, '만약 고가나 저가가 종가였다면 RSI의 값이 이럴것이다'를 구현해내었습니다. 캔들이 고가를 찍고 내려오면 윗꼬리가 생기듯 RSI Candle에서도 고가를 찍고 내려오면 윗꼬리가 생기는겁니다!!
다이버전스 또한 원래는 종가끼리의 관계만 봐야했지만 RSI 캔들을 이용한다면 고가와 고가, 저가와 저가에서도 다이버전스를 발견할 수 있습니다.
그럼 잘 사용해주십시오!!!
CCI BBThis indicator is the idea of giorno_4_16 .
It shows some indicator lines in your main chart as following:
SMA300, EMA200
BB 20 1,2,3sigma and middle
BB 300 1,2,3sigma and middle
You should put CCI (12, 14) into your separated chart to use the idea.
It shows arrows for registance trading when:
CCI(12) crossovers -200 or corssunders 200 in recent 6bars,
and the price crosses indicator line of SMA200, EMA200 and BB300 1,2,3sigma.
When CCI crossovers -200, you can condisider buying.
When CCI crossunders 200, you can condisider selling.
You should use this indicator in 1H or 4H.
When an arrow appears in 1H, change timeframe to 4H and check the slope of BB20.
If the slope is gentle, take-profit target is MA20 of 1H.
If the slope is steep(ex. CCI crossovers -200 and 4H BB20 go up steeply), take-profit target is BB20 2sigma of 1H.
Simple Moon Phases StrategySimple Moon Phases Strategy
This strategy is very basic and needs some filters to improve results. It was created to test the Moon Phase theory compared to just a buy and hold strategy and it did not beat the buy and hold. However, if you flip the entry and exit signals to the opposite signals it performs a lot worse, so there might be some validity to the Moon Phases having an effect on the markets. I might try to add some filters and increase hold times with trailing stops in a separate version.
WARNING: This strategy uses hard-coded dates from 1/1/2015 until 12/31/2021 only! Any dates outside of that range need to be added manually in the code or it will not work. I may or may not update this so please don't be upset if it stops working after 12/31/2021.
Feel free to use any part of this code and please let me know if you can improve on this strategy.
Rainbow Strategy BacktestingRainbow Strategy Backtesting base on "Rainbow Moving Average" Strategy as below:
1.Rainbow Moving Average setup
- Source: source of 1st MA
- Type: SMA/EMA
- Period: period of 1st MA
- Displacement: period of 2nd MA to 7th MA with source is previous MA
2.Trend Define
- Up Trend: Main MA moving at the top of Rainbow
- Down Trend: Main MA moving at the bottom of Rainbow
- Sideway: Main MA moving between the top and the bottom of Rainbow
3.Signal
- Buy Signal: When Rainbow change to Up Trend.
- Sell Signal: When Rainbow change to Down Trend.
- Exit: When Rainbow change to Sideway.
4.RSI Filter
- "Enable": Only signals have 1st RSI moving between Overbought and Oversold and 2nd RSI moving outside Middle Channel are accepted.
- The filter may help trader avoid bull trap, bear trap and choppy market.
5.Backtesting Infomation
- Ticker: BTCUSDT
- Timeframe: H1
- Rainbow parameter:
+ Source: hlc3
+ Type: SMA
+ Period: 12
+ Displacement: 3
- RSI Filter parameter:
+ Enable
+ 1st RSI filter: period 12, overbought 65, oversold 35
+ 2nd RSI filter: period 9, upper middle 56, lower middle 44
BAM's Weighted ROCTraders,
BAM's Weighted ROC is a Momentum indicator. ROC stands for 'Rate of Change' therefor this indicator plots the reading of a weighted average Rate of Change. In its current form it uses 4 periods en 4 weightings. The periods are set to 21/63/126/252 which corresponds to the number of trading days in each 1/3/6/12 months. The weightings are set to emphasize the more recent periods where the 1-month period counts for 40% of the signal, the 3-monthh period for 30%, the 6-month for 20% and the 12-month for 10%. These settings, both periods and weightings, are customizable. The current settings are meant to serve the widely used 1-day time interval chart setting. Feel free to alter the time frame and adjust the parameters accordingly; eg I like trading the weekly chart on a 10/20/30/40 period settings.
BAM's Weighted ROC can be used as a trendfilter for Trend Following trading systems or as an entry signal for Swing trading systems, or both. In the current setting the indicator is set to trend-following; it turns green when positive (above 0), indicating positive momentum. And red when negative (below 0), indicating negative momentum. In the most basic form one can trade a well diversified portfolio of assets using the indicator as guidance for entry and exit signals as it flows back and forth between positive and negative. Another use for the indicator lies in Swing Trading systems. In this approach the transfer from declining momentum into ascending momentum can be interpreted as a shift in momentum from negative to positive, and therefor constitute an entry opportunity. A combination of the 2 signals is of perfectly viable too, wait for positive momentum (reading above 0) in combination with a upward shift from one bar to the other. Use the reverse logic as an exit signal. In these examples the indicator is used in a stand-alone fashion. But off course it can also be used in conjunction with other indicators.
I personally use the two functions, trend-following en swingtrading, in tandem (combined)
for further reading into the rational behind Trend Following trading systems I recommend the following sources:
- Free Read: Google for 'Meb Faber, Global Asset Allocation' he gives out free copies on his website. Meb is a well known character in the Momentum-factor arena.
- Easy read: 'Following the trend' By Andreas Clenow. I don't think there is any Trend Following trader that doesn't know this chaps work.
- sophisticated Read: Trend Following with Managed Futures by A. Greyserman and K. Kaminski. This one is for those who seriously mean business!
Good luck out there, pls consider that the momentum factor holds an edge, at least based on historical performance, but this out-performance (most often) lies in the low single digits.
Pls be aware that use of this indicator is at your own risk. All info provided is solely presented for educational purposes.
Kind regards,
Bam
Overlay Indicators (EMAs, SMAs, Ichimoku & Bollinger Bands)This is a combination of popular overlay indicators that are used for dynamic support and resistance, trade targets and trend strength.
Included are:
-> 6 Exponential Moving Averages
-> 6 Simple Moving Averages
-> Ichimoku Cloud
-> Bollinger Bands
-> There is also a weekend background marker ideal for cryptocurrency trading
Using all these indicators in conjunction with each other provide great confluence and confidence in trades and price targets.
An explanation of each indicator is listed below.
What Is an Exponential Moving Average (EMA)?
"An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average (SMA), which applies an equal weight to all observations in the period.
What Does the Exponential Moving Average Tell You?
The 12- and 26-day exponential moving averages (EMAs) are often the most quoted and analyzed short-term averages. The 12- and 26-day are used to create indicators like the moving average convergence divergence (MACD) and the percentage price oscillator (PPO). In general, the 50- and 200-day EMAs are used as indicators for long-term trends. When a stock price crosses its 200-day moving average, it is a technical signal that a reversal has occurred.
Traders who employ technical analysis find moving averages very useful and insightful when applied correctly. However, they also realize that these signals can create havoc when used improperly or misinterpreted. All the moving averages commonly used in technical analysis are, by their very nature, lagging indicators."
Source: www.investopedia.com
Popular EMA lookback periods include fibonacci numbers and round numbers such as the 100 or 200. The default values of the EMAs in this indicator are the most widely used, specifically for cryptocurrency but they also work very well with traditional.
EMAs are normally used in conjunction with Simple Moving Averages.
" What Is Simple Moving Average (SMA)?
A simple moving average (SMA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range.
Simple Moving Average vs. Exponential Moving Average
The major difference between an exponential moving average (EMA) and a simple moving average is the sensitivity each one shows to changes in the data used in its calculation. More specifically, the EMA gives a higher weighting to recent prices, while the SMA assigns an equal weighting to all values."
Source: www.investopedia.com
In this indicator, I've included 6 popular moving averages that are commonly used. Most traders will find specific settings for their own personal trading style.
Along with the EMA and SMA, another indicator that is good for finding confluence between these two is the Ichimoku Cloud.
" What is the Ichimoku Cloud?
The Ichimoku Cloud 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.
The Ichimoku cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s.1 It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals."
More info can be seen here: www.investopedia.com
I have changed the default settings on the Ichimoku to suit cryptocurrency trading (as cryptocurrency is usually fast and thus require slightly longer lookbacks) to 20 60 120 30.
Along with the Ichimoku, I like to use Bollinger Bands to not only find confluence for support and resistance but for price discovery targets and trend strength.
" What Is a Bollinger Band®?
A Bollinger Band® is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a security's price, but which can be adjusted to user preferences.
Bollinger Bands® were developed and copyrighted by famous technical trader John Bollinger, designed to discover opportunities that give investors a higher probability of properly identifying when an asset is oversold or overbought."
This article goes into great detail of the complexities of using the Bollinger band and how to use it.
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This indicator combines all these powerful indicators into one so that it is easier to input different settings, turn specific tools on or off and can be easily customised.
Ripster EMA CloudsEMA Cloud By Ripster
EMA Cloud System is a Trading System Invented by Ripster where areas are shaded between two desired EMAs. The concept implies the EMA cloud area serves as support or resistance for Intraday & Swing Trading. This can be utilized effectively on 10 Min for day trading and 1Hr/Daily for Swings. Ripster himself utilizes various combinations of the 5-12, 34-50, 8-9, 20-21 EMA clouds but the possibilities are endless to find what works best for you.
“Ideally, 5-12 or 5-13 EMA cloud acts as a fluid trendline for day trades. 8-9 EMA Clouds can be used as pullback Levels –(optional). Additionally, a high level price over or under 34-50 EMA clouds confirms either bullish or bearish bias on the price action for any timeframe” – Ripster
Delimited Levels Today SessionThis script takes a delimited string of level values (up to 12) and plots them on the chart as per parameters.
Alerts can be set up for crossing, etc, using the Alerts panel as per usual.
Very handy if you have a spreadsheet or list of values to plot.
For example, say your spreadsheet has a list of these 12 levels to plot:
3800
3811
3822
3837
3851
3862
3877
3887
3902
3913
3928
The values could be copied to notepad / text editor, and the line breaks replaced with a delimiter, such as the ';' character (note: no trailing delimiter), to produce a delimited string:
3800;3811;3822;3837;3851;3862;3877;3887;3902;3913;3928
And then simply copy / paste this delimited string into the "Levels Delimited String" parameter.
Note: This script builds upon earlier script:
Enhancements include:
- Plot only for latest day (weekends factored in)
- Plot only for specified session
- Plot as bands or as lines
Delimited LevelsThis script takes a delimited string of level values (up to 12) and plots them on the chart as per parameters.
Alerts can be set up for crossing, etc, using the Alerts panel as per usual.
Very handy if you have a spreadsheet or list of values to plot.
For example, say your spreadsheet has a list of these 12 levels to plot:
3800
3811
3822
3837
3851
3862
3877
3887
3902
3913
3928
The values could be copied to notepad / text editor, and the line breaks replaced with a delimiter, such as the ';' character (note: no trailing delimiter), to produce a delimited string:
3800;3811;3822;3837;3851;3862;3877;3887;3902;3913;3928
And then simply copy / paste this delimited string into the "Levels Delimited String" parameter.
Dominant Cycle Adaptive MACDThis Indicator is based on classic MACD but with an exceptional smoothing.
This smoothing eliminates the noise of the classic MACD as you see in the Chart
Adaptive MACD is compiled using with two adaptive moving averages, one adaptive to the dominant cycle and the other adaptive to twice the dominant cycle. As the basic behind the MACD is the difference of two moving averages we cannot find much difference between the conventional MACD (12, 26) and the adaptive MACD. However the adaptive MACD is less prone for less whipsaws and it catches the trends very well at the same time the catches the turning points in time. The Adaptive MACD is definite one notch better than the conventional MACD.
Dominant Cycle Period is calculated using Ehler's Method {Mentioned in the code}
This is how the Adaptiveness Impacts the Price Chart
1. (12, 26 EMA) VS Adaptive Dominant Cycle EMA
2. See how the Adaptive Lengths {both FastLength and SlowLength changes with time!}
Enjoy!
Momentum Indicator avg short return minus avg long returnAverage daily return over the period 2-12 months ago minus the average daily return over the period 1-5 years ago
=> a higher return 2-12 months ago indicates a higher return in coming months according to research, because of the momentum risk factor premium
=> a higher return 1-5 years ago indicates a lower return in coming months according to research, because of the momentum risk factor premium
[DS]Entry_Exit_TRADE.V01-StrategyThe proposal of this script is to show the possible trading points of BUY and SELL based on the 15-minute chart of the Nasdaq Future Index. The start point of the strategy was schedule for 2021/01/01 and until the time of this publication (2021/01/31), for 1 index contract the results presented area a Gross Profit of 2.97% with a Net Profit of 1.35%.
█ FEATURES
The indicator shows on the graph the position of the MACD and TSI indicators that are the places of strength among Buyers and Sellers.
It's possible to observe a sharp fall or rise in the price of these positions.
On the current candle, a label is displayed containing the value of the William %R Mod indicator, which will display the OverBought position (dark red) and OverSold position (dark green). The other colors like light red and green are the regions where the price makes the decision of which direction to go.
There are also other indicators:
a) The positions of the BUY (light green) and SELL areas (light red);
b) The label with the position of BUY (dark green) and SELL (dark red) with the line that connects these points;
c) DEMA 72 (orange);
d) EmaOchl4 in the color green for BULL and red for BEAR market;
e) Pivots high and low
f) Maximum (purple light) and minimum areas (blue light)
█ FUNCTIONS AND SETTINGS
The indicator uses the following functions:
(1) DEMA - Double Exponential Moving Average (08,17,34, 72)
(2) ema () - Exponential Moving Averge (72, ohlc4)
(3) plot()
(4) barcolor()
(5) cross()
(6) pivots ()
(7) William R% Md (OverBought = -7, OverSold=-93)
(8) Maximum and Minimum Value
(9) fill()
(10) macd () - Moving Average Convergence Divergence (Fast Lengt=12, Slow Length=26, Source=close, Signal Smoothing=9)
(11) tsi() - Trading Strenght Indicator==> Índice de Força Real ( IFR ) (Long Length=72, Short Length=17, Signal Length=17)
(12) Buy and Sell TRADE Points
█ PERFORMANCE AND ERRORS
The positions of BUY and SELL points are defined through the crossing of the Dema 34 candles with the Ema Ohcl4. As it is an indicator, it can present different positions from de market direction. Thus there is a need to observe the direction of the market in order to verify whether the indicate decision is really acceptable. The decision to BUY or SELL an asset must be well studied to avoid financial losses. The indicator will only help you in this decision, is your responsibility the decision of entering or leaving an asset.
█ THANKS TO
PineCoders for all they do, all the tools and help they provide, and their involvement in making a better community. All the PineCoders, Pine Pros, and Pine Wizards, people who share their work and knowledge for the sake of it and helping others, I'm very happy and grate full indeed.
█ NOTE
If you have any suggestions for improving the script or need help using it, please send a message in the comments
EMA cloudsCredits to Ripster47
5-12 ema cloud
34-50 ema cloud
72-89 ema cloud
1H is actually very important on swings + Daily/Weekly Level
5-12 EMA clouds on 1H Tell Trend
34-50 EMA clouds on 1H act as Dynamic Trendlines
72-89 EMA clouds on 3min acts as Dynamic Trendlines
CT Reverse MACD CrossIntroducing the Reverse MACD Cross
MACD.... short for moving average convergence/divergence, is a trading indicator used in technical analysis of stock prices, created by Gerald Appel in the late 1970s.
It is designed to reveal changes in the strength, direction, momentum, and duration of a trend in a stock's price.
Prior work by Johny Dough showed how we can compute the price level required to make the MACD stay at its current level,
and also how to compute the price level required for the MACD to cross the zero line.
I have brought that idea to it logical conclusion for the MACD by creating a new function which also computes the price level required to cross the MACD with its signal line.
This allows the user to quickly see all of the most relevant information from the MACD and the actual price levels where the indicator will change its posture.
The MACD indicator (or "oscillator") is a collection of three time series calculated from historical price data, most often the closing price.
These three series are:
the MACD series proper shown here in blue
the "Signal Line" or "average" series shown here in red
the "Divergence" series which is the difference between the two shown here as a histogram.
There is also usually a baseline set at zero.
The MACD series is the difference between a "fast" (short period) exponential moving average (EMA), and a "slow" (longer period) EMA of the price series.
The average series (signal line) is an EMA of the MACD series itself.
The MACD indicator thus depends on three parameters, namely the time periods of the three EMAs.
The notation "MACD ( a, b, c )" usually denotes the standard indicator where the MACD series is the difference of EMAs with characteristic times a and b, and the average series is an EMA of the MACD series with characteristic time c.
There is an infobox which displays...
Whether the MACD is falling or rising
the price level which will make the MACD to change from rising to falling or vice versa
the price level which will cause the MACD to cross the signal line
the price level which will cause the MACD to cross the zero line
The most commonly used values are 12 for the fast, 26 for the slow, and 9 for the signal line, that is, MACD ( 12, 26, 9 ) .
The MACD and average series are customarily displayed as continuous lines in a plot whose horizontal axis is time oscillating above and below a zero line, whereas the divergence is commonly shown as a bar graph / histogram.
A fast EMA responds more quickly than a slow EMA to recent changes in a stock's price.
By comparing EMAs of different periods, the MACD series can indicate changes in the trend of a stock.
It is claimed that the divergence series can reveal subtle shifts in the stock's trend.
Since the MACD is based on moving averages, it is a lagging indicator. As a future metric of price trends, the MACD is less useful for stocks that are not trending (trading in a range) or are trading with unpredictable price action.
Tweezers and Kangaroo TailHello Traders,
Here Tweezers and Kangaroo Tail script is in your service. The script searches for Tweezer / Kangaroo Tail candlestick patterns and shows them as T (Tweezer) and K (Kangaroo Tail). Thanks to RorschachT who game me the idea and some details while working on this script.
What are these candlestick patterns?
Tweezers :
- A tweezers pattern occurs when the highs/Lows of two candlesticks occur at almost exactly the same level
- Both candles must have wicks
- Bigger Wick / Smaller Wick rate should not be greater than 150% ( 150% by default and you have option to change it)
- First Candle must be highest/lowest for last 5 candles (5 by default and you have option to change it)
- The level of High for Top, Low for Bottom must be almost lower than 20% of the bigger wick of tweezer candles (20% by default and you have option to change it)
- The Candles can be right next to each other or apart but not more than 12 candles apart (12 by default and you have option to change it)
- You will see that Tweezers pattern occurs frequently
Kangaroo Tail:
- Looks almost like a Hammer or Inverted Hammer candle
- They have both its open and close in the top or bottom third of the candle
- There must be some space/room on the left of the kangaroo tail
- The open and close of the Kangaroo Tail candle must be inside the range of the previous candlestick
- The next candle should create a new high or new low
- You have several options to set details about the "Room" that should be on the left and also options for Wick/Body rates
- You can see example below
You have option to enable/disable any of these patterns.
as far as I have tested they are strong reversal patterns but none of the indicators or patterns may not be enough alone. so you should confirm the signals using other indicators or tools
If you need more information you can find a lot of info on the net ;)
Example: Tweezers - Aparted
Example: Kangaroo Tail - Bullish
Enjoy!
CDC Action Zone 20201117 Bougth / Sold DaysCDC Action Zone 20201117 Bought /Sold Day
1)This scrip are display the number of bars since Bought or Sold ( Bars )
2)Buy : condition using moving average 12 Bars of price cross over moving average of 26 bars
3)Sell : condition using moving average 12 Bars of price cross under moving average of 26 bars
4)Bars count for bought start from Buy until Sell ( Green Color )
5)Bars count for Sold start from Sell until Buy ( Red Color )
6) Can Adjust
6.1) Number of both 2 ema
6.2) Type of input Price
6.3) Color of TEXT
Multi Time Frame Buy the Dips (by Coinrule)Buying the dips is a relatively easy automated trading strategy that can return impressive profits, especially during uptrend times. Not all price drops are for buying, though. This trading system is based on a multi time frame buy-the-dip approach to optimize each trade.
The strategy catches sudden price drops on a 1-hr time frame when the price increases significantly in the last 12 hours. During steep uptrends, profit-taking price actions result in flash crashes that provide great opportunity to enter at convenient prices.
Buy Condition
The setup of the script is optimized on a 30 min time frame. You can adjust the parameters to fit different time frames.
The system gets a buy signal when
- the price drops 1% from the two previous candles (1 hour time frame = two 30-min candles)
- the price is up 3% from the last 12 hours (twenty-four 30-min candles equal the desired time frame)
Sell Condition
Each trade comes with a stop loss of 3% and a take profit of 4%.
This setup has been optimized, running over 150 backtests on more than 20 different crypto trading pairs.
The strategy assumes each order to trade 30% of the available capital. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
[blackcat] L2 Ehlers Even Better SinwaveLevel: 2
Background
John F. Ehlers introduced Even Better sinwave Indicator in his "Cycle Analytics for Traders" chapter 12 on 2013.
Function
The original Sinewave Indicator was created by seeking the dominant cycle phase angle that had the best correlation between the price data and a theoretical dominant cycle sine wave. The Even Better Sinewave Indicator skips all the cycle measurements completely and relies on a strong normalization of the waveform at the output of a modified roofing filter. The modified roofing filter uses a single-pole high-pass filter to deliberately retain the longer-period trend components. The single-pole high-pass filter basically levels the amplitude of all the cycle components that would otherwise be larger with longer wavelengths due to Spectral Dilation. Therefore, when the waveform is normalized to the power in the waveform over a short period of time, the longer wavelength contributions tend to be an indication to stay in a trade when the market is in a trend.
The Even Better Sinewave Indicator works extraordinarily well when the market is in a trend mode. This means that the spectacular failures of most swing wave indicators are mitigated when the expected price turning point does not occur.
Although Dr. Ehlers admitted he had not studied it extensively, it appears that the Even Better Sinewave Indicator works well on futures intraday data. It takes a position in the correct direction and tends to stay with the good trades without excessive whipsawing.
Key Signal
Wave --> Even Better sinwave Indicator fast line
Trigger --> Even Better sinwave Indicator slow line
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 55th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
