Logger Library For Pinescript (Logging and Debugging)Library "LoggerLib"
This is a logging library for Pinescript. It is aimed to help developers testing and debugging scripts with a simple to use logger function.
Pinescript lacks a native logging implementation. This library would be helpful to mitigate this insufficiency.
This library uses table to print outputs into its view. It is simple, customizable and robust.
You can start using it's .log() method just like any other logging method in other languages.
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USAGE
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-- Recommended: Please Read The Documentation From Source Code Below. It Is Much More Readable There And Will Be Updated Along With Newer Versions. --
Importing the Library
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import paragjyoti2012/LoggerLib/ as Logger
.init() : Initializes the library and returns the logger pointer. (Later will be used as a function parameter)
.initTable: Initializes the Table View for the Logger and returns the table id. (Later will be used as a function parameter)
parameters:
logger: The logger pointer got from .init()
max_rows_count: Number of Rows to display in the Logger Table (default is 10)
offset: The offset value for the rows (Used for scrolling the view)
position: Position of the Table View
Values could be:
left
right
top-right
(default is left)
size: Font Size of content
Values could be:
small
normal
large
(default is small)
hide_date: Whether to hide the Date/Time column in the Logger (default is false)
returns: Table
example usage of .initTable()
import paragjyoti2012/LoggerLib/1 as Logger
var logger=Logger.init()
var logTable=Logger.initTable(logger, max_rows_count=20, offset=0, position="top-right")
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LOGGING
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.log() : Logging Method
params: (string message, |string| logger, table table_id, string type="message")
logger: pass the logger pointer from .init()
table_id: pass the table pointer from .initTable()
message: The message to log
type: Type of the log message
Values could be:
message
warning
error
info
success
(default is message)
returns: void
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Full Boilerplate For Using In Indicator
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P.S: Change the | (pipe) character into square brackets while using in script (or copy it from the source code instead)
offset=input.int(0,"Offset",minval=0)
size=input.string("small","Font Size",options=|"normal","small","large"|)
rows=input.int(15,"No Of Rows")
position=input.string("left","Position",options=|"left","right","top-right"|)
hide_date=input.bool(false,"Hide Time")
import paragjyoti2012/LoggerLib/1 as Logger
var logger=Logger.init()
var logTable=Logger.initTable(logger,rows,offset,position,size,hide_date)
rsi=ta.rsi(close,14)
|macd,signal,hist|=ta.macd(close,12,26,9)
if(ta.crossunder(close,34000))
Logger.log("Dropped Below 34000",logger,logTable,"warning")
if(ta.crossunder(close,35000))
Logger.log("Dropped Below 35000",logger,logTable)
if(ta.crossover(close,38000))
Logger.log("Crossed 38000",logger,logTable,"info")
if(ta.crossunder(rsi,20))
Logger.log("RSI Below 20",logger,logTable,"error")
if(ta.crossover(macd,signal))
Logger.log("Macd Crossed Over Signal",logger,logTable)
if(ta.crossover(rsi,80))
Logger.log("RSI Above 80",logger,logTable,"success")
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// For Scrolling the Table View
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There is a subtle way of achieving nice scrolling behaviour for the Table view. Open the input properties panel for the table/indicator. Focus on the input field for "Offset", once it's focused, you could use your mouse scroll wheel to increment/decrement the offset values; It will smoothly scroll the Logger Table Rows as well.
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For any assistance using this library or reporting issues, please write in the comment section below.
I will try my best to guide you and update the library. Thanks :)
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在腳本中搜尋"北京地铁3号线和12号线线路图"
Seasonality: Month HighlightMany Assets, especially Commodities , have patterns of seasonality: Periods in the year when they have shown a greater tendency to rise or a greater tendency to fall.
The Seasonality of an asset is based on historical data (20yrs+): Specific asset seasonality charts can be found via an online search.
This is a simple tool that allows users to highlight and color code each of the 12 months of the year; depending on the seasonality of the specific asset.
The above chart shows Sugar Futures ; which are a seasonal 'sell' in February , and a seasonal 'buy' in May and August.
Seasonality should only be used to compliment a trading setup, NOT as a single reason in itself to buy or sell. Simply put: if you find a good setup, AND you have seasonality on your side; your odds of success are increased.
How Old Is this Bull Run Getting? Check MA Test Bars SinceThere are many price-based techniques for anticipating the end of a move. However, the simple passage of time can also help because bull markets don’t last forever. While old age doesn’t necessarily cause investors to sell, a reversal becomes more likely the longer a trend lasts.
So, how long have prices been going up? There are various ways to measure that. Our earlier script, MA streak , offered one solution by counting the number of bars that a given moving average has been rising or falling.
Today’s script takes a different approach by counting the number of candles since price touched or crossed a given moving average. It tracks the 50-day simple moving average (SMA) by default. It can be adjusted to other types like exponential and weighted with the AvgType input.
In the chart above, Bars Since MA Test was adjusted to use the 200-day SMA. Viewing the S&P 500 with this study helps put the current market into context.
We can see that prices last touched the 200-day SMA 386 sessions ago (June 29, 2020). That’s relatively long based on history, but not unprecedented. For example, the indicator was at 407 in February 2018 as the market pulled back. It also hit 475 in October 2014 (following the breakout above 2007 highs).
Additionally, the S&P 500 is nearing the record of the 1990s bull market (393 candles on July 12, 1996).
Before that, you have to look all the way back to the 1950s, when it twice peaked at 627.
The conclusion? The current run without a test of the 200-day SMA is above average, but not yet record-setting. It may be interesting to watch as earnings season approaches and the Federal Reserve looks to tighten monetary policy.
TradeStation is a pioneer in the trading industry, providing access to stocks, options, futures and cryptocurrencies. See our Overview for more.
Important Information
TradingView is not affiliated with TradeStation Securities Inc. or its affiliates. TradeStation Securities, Inc., TradeStation Crypto, Inc., and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., all operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Please click here for further important information explaining what this means.
This content is for informational and educational purposes only. This is not a recommendation regarding any investment or investment strategy. Any opinions expressed herein are those of the author and do not represent the views or opinions of TradeStation or any of its affiliates.
Investing involves risks. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options, futures, or digital assets); therefore, you should not invest or risk money that you cannot afford to lose. Before trading any asset class, first read the relevant risk disclosure statements on the Important Documents page, found here: www.tradestation.com .
ATR Table (SMA)ATR table for select time frames.
Using Simple Moving Average (SMA) to get ATR.
MA periods is based on numbers suggested by Saeed Khakestar (Trigger Price Action)
You can change them in code
5m => 12
15m => 16
1H => 24
4H => 42
1D => 30
1W => 52
RSI is calculated the same way
[BM] SSS 50% Rule EvaluatorSara Strat Sniper 50% Rule Evaluator
█ OVERVIEW
This indicator is based on Sara Strat Sniper's - 50% Rule for trading Outside Bars and helps you to evaluate the historical success rate of that rule.
█ FEATURES
Calculation
• You can choose to evaluate only the current bar to see if it forms an outside bar (success) or not (fail), but you can also choose to include the next bar to see if that one forms a compound outside bar.
• You can enable a start and/or end date to limit the calculation period.
Table
• Show or hide the table with the calculation results.
• Show or hide the calculation details (up/down data).
• Position of the table, opacity, cell width and text size can be customized.
Colors
• Table colors can be customized.
• You can choose to show the inside/outside bars in customizable bar colors.
• You can choose to identify successful/failed/recovered outside bars in customizable background colors.
█ LIMITATIONS
• This script uses a special characteristic of the `security()` function allowing the inspection of intrabars — which is not officially supported by TradingView.
• Intrabar inspection only works on some chart timeframes: 5, 10, 15, 30, 45 and 195 minutes, 1, 2, 3, 4, 5, 6, 7 and 8 hours, 1, 2, 3, 4 and 5 days, 1, 2, 3 and 4 weeks, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12 months. The script’s code can be modified to run on other resolutions.
• There is a limit to how far back intrabar calculations can be performed, and is dependant on both the intrabar resolution and your subscription (which determines the number of available bars).
Swing Trades Validator - The One TraderThis swing trading strategy validator is built on the original strategy taught in my bootcamp for swing traders.
The strategy is simple and follows a trend trading pattern on prices reacting to Exponential Moving Averages over a multiple time-frame analysis.
The details of the strategy are as follows:
- Holding Period : Upto a couple of months
- Time-frames to be analysed : Month - Week - Day
- Trade Execution : Daily Time-frame
Analysis Details:
Step 1 : On the Monthly time-frame, the candle needs to be bullish with the latest close being higher than the opening price of the month.
Step 2 : The price needs to be above the 8ema on the Monthly time-frame.
Step 3 : The 8ema must be above the 20ema on the Monthly time-frame.
The above steps indicate a bullish strength in the instrument on the Monthly time-frame.
Step 4 : On the Weekly time-frame, the candle needs to be bullish with the latest close being higher than the opening price of the week.
Step 5 : The price needs to be above the 8ema on the Weekly time-frame.
Step 6 : The 8ema must be above the 20ema on the Weekly time-frame.
The above steps indicate a bullish strength in the instrument on the Weekly time-frame.
Step 7 : On the Daily time-frame, the candle needs to be bullish with the latest close being higher than the opening price of the day.
Step 8 : The price needs to be above the 8ema on the Daily time-frame.
Step 9 : The 8ema must be above the 20ema on the Daily time-frame.
The above steps indicate a bullish strength in the instrument on the Daily time-frame.
Step 10 : While the 8ema is above the 20ema on the Daily time-frame, the price must be allowed to rise before a pullback is seen towards the moving averages, indicating a bearish move trying to change the trend.
Step 11 : These pullback candles need to form a pattern called the Ring Low with the second pullback candle having a lower high and lower low and the low of the last pullback candle being lesser than or equal to the fat ema on the Daily time-frame.
Step 12 : If the stock is still bullish and the trend is displaying a strength in the underlying bullish direction, then there will be a resumption candle that will have a closing price higher than the previous day's high price.
This trend continuation signal is a confirmation that the instrument will continue in the underlying trend direction and we will be able to enter if this condition is satisfied.
The profit and loss percentages are set at a default 10% as this can be a minimum risk : reward for swing trades on average, but the inputs have been made available to the users in order to adjust the risk : reward to find the most optimum breathing room for each individual stock or instrument. This will give the user a highly custom overview of the strategy on individual instruments based on their volatility and price movements.
The strategy tester will auto back-test this strategy historically and find all the trades that were taken based on this strategy and populate a performance summary.
The most important data in V1.0 of this script are as follows:
1. No. of Trades Taken : We want to see many trades being taken on this strategy in that particular instrument. This shows us a healthy report on the number of winning vs. losing trades.
2. Percentage Profitable : We want to see that this strategy has worked out in the past and is giving us a high probability of return. This in no way an indication that the strategy will definitely work out in the future as well, but gives us an idea of whether or not we should enter this trade.
3. No. of Winning Trades vs. Losing Trades : We would like to see a significantly higher number of winning trades.
4. Avg. # of bars in a trade : This gives us an idea of how long on average we might have to wait to see the results of this strategy either in favor of our reward or against our desired direction. Some trades can be completed in around 15-20 bars on average and some trades have shown to take upto 45 days to reach desired reward. This is in line with our planned holding period, but gives the trader a sense of time and increased level of patience.
The future updates will have more utility of the various elements of the strategy tester and the entire exit strategy will be integrated into the script.
This script is not to be used as a standalone method and must be studied well in order to execute trades. I have not hidden visibility on other time-frames, but since order execution is done on the Daily time-frame, the script must run on the Daily time-frame only.
There are many other factors to be taken into consideration before entering a trade and proper risk management and position sizing rules must be followed.
Our bootcamp participants will use this strategy tester in conjunction with the invite-only Trading Toolkit assigned to them.
The development of this script will be ongoing and all comments and feedback are welcome.
9/26/52 EMAFor trades around the 200 EMA. Trends begin at the 200 EMA location. And the 12/26 crossovers provide the momentum to take a trendy trade
Mazuuma Churn IndicatorThis indicator was specifically made to confirm a periode of sideways movement (churn) on Bitcoin. It can probably be used for other cryptocurrencies as well. I use it on the daily timeframe.
Yellow means "Unconfirmed".
Orange means "Partially Confirmed".
Red means "Confirmed"
The indicator is not perfect, so use your common sense.
Churn starts when at least 2 of the conditions below are met (use also your common sense):
1. ATR < MA 20 on ATR
2. Distance to EMA 200 must be ≤ 16% at “Open churn”
3. EMA 12 on RSI between 40 and 60
4. ADX < 25
The above are weighted. Meaning no 1 has most significance. The numbers can be tweaked.
Reversal coming
* The indicators above break out, especially the ATR
* Color shift of the Heikin Ashi candle on weekly timeframe
* Engulfing candle on weekly timeframe
Because of the offset of the EMA 200, the precision of the Churn predictor can be off after a VERY big spike up or down, e.g. dec 2017. After such a spike use your common sense.
Personally I use this for bot trading, i.e. turn off trend following bots when in sideways market and use grid bots or other means of trading instead.
F&G_IndexIntroduction.
This indicator shows the behavior of Fear and Greed Index (F&G_Index) for the cryptocurrency market in an intuitive way for traders. This indicator has been modified from a script developed by @cptpat called "Fear and Greed Index FGI (Daily Update) alternative.me" (Tradingview user). The Fear and Greed Index values are taken directly from alternative.me.
The novelty of this proposal is to indicate the extreme levels (lower/upper) of the Fear and Greed Index according to a statistical analysis of the historical data. Also its daily update. It is not recommended to use in isolation. The appropriate way is in consensus with other indicators.
The extreme values.
Two upper and lower limits are established that correspond to the first standard deviation (1·SD) and 1.5 standard deviation (1.5·SD), respectively. These limits will help to know different important levels of greed or fear in the market based on real and historical data. The values obtained for each case are shown below, which will mark the extremes. These values may be modified in the future. If so, they will be updated and the community will be informed.
1·SD higher = 69 (F&G_Index).
1·SD lower = 24 (F&G_Index).
1.5·SD higher = 81 (F&G_Index).
1.5·SD lower = 12 (F&G_Index).
These limits are statistically significant and representative of extreme values of the Fear and Greed Index. Above all, for the case of 1.5·SD higher/lower, whose occurrence of the cases are significantly lower. These data are obtained for a daily record from August 2017 to December 2021, for a total of 1407 data. The occurrence of the Fear and Greed Index value exceeding the indicated levels is shown below.
F&G_Index > 1·SD higher (Greed). Occurrence <22,5%
F&G_Index < 1·SD lower (Fear). Occurrence <19%
1·SD lower < F&G_Index < 1·SD higher (Neutral). Occurrence ≈59%
F&G_Index > 1.5·SD higher (Extreme Greed). Occurrence <8%
F&G_Index < 1.5·SD lower (Extreme Fear). Occurrence <3%
How to use the indicator.
Its use is very simple and intuitive and is based on the levels indicated above. The blue line shows the historical value of F&G_Index. When the value of F&G_Index exceeds the levels indicated above, a vertical band of color will be tinted (brown/red, green/lime green or gray with transparency) as indicated below. This allows you to locate important areas in a very visual way.
F&G_Index > 1·SD higher (Greed). Brown color
F&G_Index < 1·SD lower (Fear). Green color.
1·SD lower < F&G_Index < 1·SD higher (Neutral). Gray color with transparency.
F&G_Index > 1.5·SD higher (Extreme Greed). Red color.
F&G_Index < 1.5·SD lower (Extreme Fear). Lime green color.
Image of the indicator.
Position Sizing CalculatorThis is the Position Sizing Calculator indicator.
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It's calculated by using the capital and risk that you can take per trade divided by the difference price between the current price and lowest close bar in 12 days.
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The output is the number of coins that you should buy.
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You should turn on this indicator only when the buy signal of another indicator is triggered.
Improved Percent Price Oscillator w/ Colored Candles[C2Trends]The Percent Price Oscillator(PPO) is a momentum oscillator that measures the difference between two moving averages as a percentage of the larger moving average. Similar to the Moving Average Convergence/Divergence(MACD), the PPO is comprised of a signal line, a histogram and a centerline. Signals are generated with signal line crossovers, centerline crossovers, and divergences. Because these signals are no different than those associated with MACD, this indicator can be read exactly as the MACD is read. The main differences between the PPO and MACD are: 1) PPO readings are not subject to the price level of the security. 2) PPO readings for different securities can be compared, even when there are large differences in the price. MACD readings for different securities cannot be compared when there are large differences in price.
PPO Calculations:
Percentage Price Oscillator(PPO): {(12-day EMA - 26-day EMA )/26-day EMA} x 100
Signal Line: 9-day EMA of PPO
PPO Histogram: PPO - Signal Line
iPPO includes everything from standard PPO plus:
1)Plots for PPO/Signal line crosses.
2)Plots for PPO/0 level crosses.
3)PPO/Signal line gap color fill.
4)PPO/0 level gap color fill.
4)Background fill for PPO/Signal line crosses.
5)Background fill for PPO/0 level crosses.
6)Price candles colored based on PPO indicator readings.
7)All plots, lines and fill colors can be turned on/off individually from the 'Input' tab of the iPPO indicator settings menu.
Indicator Notes:
1) When the green PPO line is above the 0 level, intermediate to long-term price momentum can be considered bullish(begins w/yellow cross, green background).
2) When the green PPO line is below the 0 level, intermeidate to long-term price momentum can be considered bearish(begins w/red cross, purple background).
3) Green PPO line above purple Signal line + both lines rising + both lines above 0 level = bullish short-term price momentum(begins w/green dot above 0 level, green highlight).
4) Green PPO line below purple Signal line + both lines falling + both lines above 0 level = loss of short-term bullish price momentum(begins w/purple dot above 0 level, purple highlight).
5) Green PPO line below purple Signal line + both lines falling + both lines below 0 level = bearish short-term price momentum(begins w/purple dot below 0 level, purple highlight).
6) Green PPO line above purple Signal line + both lines rising + both lines below 0 level = loss of short-term bearish price momentum(begins w/green dot below 0 level, green highlight).
7) Price candles are colored lime when the PPO line is above the Signal line and both lines are above the 0 level.
8) Price candles are colored green when the PPO line is below the Signal line and both lines are above the 0 level.
9) Price candles are colored fuschia when the PPO line is below the Signal line and both lines are below the 0 level.
10) Price candles are colored purple when the PPO line is above the Signal line and both lines are below the 0 level.
11) Price candles are colored gray when the green PPO line is within a set % of the 0 level. This value can be set manually in the indicator settings. The default value is 0.25% to ensure
smooth candle color transition between timeframes, charts, sectors and markets. Adjust value up or down if gray candles are absent or too abundant. Gray candles should mostly only appear
during periods of price consolidation(flat/sideways price movement), or just before a significant move up or down in price.
Sessions & Days Of The WeekTraders tend to focus their energy on specific sessions or time periods. This indicator will plot the days of the week, and also highlight the following sessions: Frankfurt (2:00am - 11:00am EST), London (3:00am - 12:00pm EST), New York (8:00am - 5:00pm EST), Sydney (5:00pm - 2:00am EST), Tokyo (7:00pm - 4:00am EST).
It’s important to be aware that Session Open and Close times will vary based on the time of year, as countries shift over to daylight savings time.
library TypeMovingAveragesLibrary "TypeMovingAverages"
This library function returns a moving average.
ma_fast
ma_slow
MA_selector()
Example
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © hapharmonic
//@version=5
indicator("Test MATYPE", overlay=true)
import hapharmonic/TypeMovingAverages/1 as MAType
xprd1 = input(title=' 💉Fast EMA period', defval=12)
ma_select1 = 'EMA'
xprd2 = input(title=' 💉Fast EMA period', defval=26)
ma_select2 = 'EMA'
xsmooth = input.int(title='🏄♂️Smoothing period (1 = no smoothing)', minval=1, defval=1)
ma_fast = MAType.MA_selector(close, xprd1, ma_select1,xsmooth)
ma_slow = MAType.MA_selector(close, xprd2, ma_select2,xsmooth)
plot(ma_fast, "INDICATOR",color.green)
plot(ma_slow, "INDICATOR",color.red)
///////////////////////////////////////////////////////
///////////////////////////////////////////////////////
Of course, you can run these types just by adding options. 'ma_select1 ' and 'ma_select2'
SMA', 'EMA', 'WMA', 'HMA', 'JMA', 'KAMA', 'TMA', 'VAMA', 'SMMA', 'DEMA', 'VMA', 'WWMA', 'EMA_NO_LAG', 'TSF', 'ALMA'
BANK NIFTY Constituents Technical Rating [tanayroy]Banknifty comprises 12 companies listed on the National Stock Exchange of India (NSE). Movement of Banknifty depends on these stocks. The script depicts Technical rating and price change stats of Banknifty constituents.
I have calculated the weight factor using annual floating stock stats available in Tradingview. So, it may differ considerably from the actual weight. It is just for reference.
I have found this useful in my trading.
Please like, share, and comment.
40+ Coin Screener (workaround to 40 Security Limit Per Script) This is a far inferior method for a screener/scanner (compared to my first publication) but after looking at that script from a noobs eyes again, I could see how this form would be a lot easier to take in/understand so wanted to publish it. Everything that I could think of to mention about this is in my 1st pub so ill leave it to you to check it out...though I did include some comments in the script. It is pretty straight forward but if you have any questions don't hold them in. I'll answer them if I can. The only thing that is not in this one is setting up the alert feature so that you only have to create 1 alert per iteration of the script and it takes care of all of the coins for that iteration/set that is chosen in the settings (so please see previous script if would like to do this for your screener/scanner).
To be PERFECTLY CLEAR, the workaround is to the issue of not being able to scan but only 40 coins per script. You can scan more than 40 per script but only if you create "batches" or "sets" that the user can select within the settings which set to use for each iteration of the script on the chart. That being, you have to the script multiple times to the chart and merge them into 1 window and merge the scales (instructions in first publications). Here in this script I am scanning 72 different coins that are the Margin Coins on KUCOIN. I have split them up into 3 sets (24 coins per set). I could have made 2 sets but the script will be slower to load and to respond (like, when it comes to receiving alerts), thus I split them up the way I did. If you want to change any of this there are slightly more details in the previous script.
One great use-case that I LOVE about this particular version (and the way I use it) is right at the end of when I see a whole market dump/pump coming to an end and want to know which horse to bet on. Used to think whichever coin come out the fastest from the dump was the one to bet on but quickly learned that 1-2 (or even a few) hrs needs to go by first bc the ones that look the strongest in the beginning are NOT the ones to have performed the best when viewing the results 12 hrs later. IN FACT, many instances of using this exact script for reasons as such has taught me that the manipulators (I believe this to be the case as least) WANT everyone to bet on these that come out the gate the hardest and thus they make them move REALLY hard in the beginning then they QUICKLY become stagnant (moreso, they become WORSE than stagnant, they actually quickly retrace to put you into the negative so that you get out to get into the others now moving (to provide the market with more liquidity. They WANT you to get into a coin thats moving crazy hard so that they can then cease that movement once many fall for the trick just to then make that once strong looking coin now stagnant and make others move crazy hard. They wait for you to get out of the 1st and into the next set of movers just to do this time and time again bc hey, what are we sheep good for other than to provide the big guns with liquidity, am I right? Thats rhetorical, which you would know if you've ever had this happen to you (without a doubt MANY of you have). Let this script (above all other things) provide good evidence to back up this cynical way of viewing the markets to anyone that is questioning it.
This prolonged time between when the dump is over and when the ACTUAL movers REALLY start moving can actually be of great benefit to us sheep if used correctly, Firstly, it gives us some time to determine if when we thought was the bottom, ACTUALLY was the bottom. That bottom is easily determined if there are no (or very few) coins that went any lower than the point in time that the script began calculating on. Secondly, it allows us time to wait for the REAL movers and shakers to start moving and shaking.
One new feature that I LOVE that TV has implemented is the ability (once the script is added to the chart) to be able to click a point in time on the chart where you want the script to begin its calculations. If this point needs to be changed at any point in time then you can either go into the setting and input the time you wish or simply remove the script and add it again so that you are prompted to select another point in time. Ok, I think that everything I wanted to say. The next version that I will add will be probably my favorite and most used by yours truly...not to mention unique in a way that I have yet to see an implementation anything like it in all of TV's public library. Not to say its not there, but I have yet to come across it and I have DEFINITELY done my fair share of searching for it when I couldn't figure out how to code it for the longest time (though, I was and still am a noob so might get some great feedback on better ways to approach it, but we'll save that jabbering for the next of the publications.
I hope each and every one of ya'll (yes, Im from the South) have the GREATEST of Thanksgivings (if in the US that is...I graced my parents with the best gift anyone could have given them 35 years ago on Thanksgiving....MEEEE ;) So I will sure as hell be having a great holiday. Thanks for checking out my script...you can "like" and leave a comment if you so feel the urge to...or not. Im not doing this for me, but rather to stretch my arms out as far as possible to benefit the most people as possible and more people would see the script if it has more likes/comments/traffic pointing towards it...not to mention as other publishers have...it IS gratifying to see a few likes in my side window, which btw, I have MANY more variations and completely diff types of scanners/screeners Ill be publishing in the future and to know that they've become of use....I"VE become of use to the community is very....pleasing to me and does (as I've also seen many publishers mention as well) drive me to want to publish ones that I originally thought I would keep for myself. Peace out people.
Directional Movement w/Hann Slope Change SignalModified version of
Presented here is code for the "Directional Movement w/Hann" indicator originally conceived by John Ehlers. The code is also published in the December 2021 issue of Trader's Tips by Technical Analysis of Stocks & Commodities (TASC) magazine.
John Ehlers is continuing to revamp old indictors with Hann windowing. The original script uses zero line cross to signal buy/sell in this modified version buy/sell is signaled based on slope change, where signal is generated on with previous value is greater/less than current value
If current > previous = buy and if current < previous = sell
TASC 2021.12 Directional Movement w/Hann█ OVERVIEW
Presented here is code for the "Directional Movement w/Hann" indicator originally conceived by John Ehlers. The code is also published in the December 2021 issue of Trader's Tips by Technical Analysis of Stocks & Commodities (TASC) magazine.
Ehlers continues here his exploration of the application of Hann windowing to conventional trading indicators.
█ FEATURES
The rolling length can be modified in the script's inputs, as well as the width of the line.
█ NOTES
Calculations
The calculation starts with the classic definition of PlusDM and MinusDM. These directional movements are summed in an exponential moving average (EMA). Then, this EMA is further smoothed in a finite impulse response (FIR) filter using Hann window coefficients over the calculation period.
Background
The DMI and ADX indicators were designed by J. Welles Wilder and presented in his "New Concepts in Technical Trading Systems" book published in 1978.
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Traders Reality Psy Levels/Daily Open GMT AwareTraders Reality Psy Levels/Daily Open GMT Aware
This indicator serves as the Tradingview equivalent of an MT4 indicator suite (Psy Levels and Daily Open)
Functionality:
In general we define Asia session to start with the Sydney exchange open.
For all intends and purposes for this indicator Asia session is defined as the open of the NZX market and close of the ASX market according to the 24 hour market clock.
The Daily Open is defined as the open of the Asia session.
The Psychological High and Low are defined as the first high and first low the Asian session starting at Saturday night and going into Sunday morning.
These are 2 key confluences that can be used in various strategies. These are in some sense similar to pivot points.
The script is GMT ( UTC ) offset aware meaning you can adjust the start of the day to any point within the allowed GMT offsets (-12 to 14)
For example if your exchange timezone is UTC+0 then the start of the Asia session starts at 2000 (UTC+0) and ends at 0400 (UTC+0) when Sydney if not in DST
You will set the offset to 4. When Sydney is in DST you will set the offset to 3
Naturally since the offset allows the entire range of GMT offsets to be used you do not need to choose the Asia market as the start of the day.
The default setting is set to 4 as of Nov 1st 2021
The GMT offset puts the calculation in the correct place regardless of exchange timezone so you do not need to adjust any settings
when working with exchanges not on UTC+0
Psy levels works only on exchanges that are open on the weekends that provide with 24x7 data.
The GMT offset puts the calculation in the correct place regardless of exchange timezone.
Features:
1) Plot the current Daily Open for timeframes between 4 hour and 1 min.
2) Plot the current weekly Psychological High and Low for timeframes between 4 hour and 1 min.
3) Configurable GMT offset, default set to Sydney open (as defined above)
4) Toggle to show historical Daily Open values (line)
5) Toggle to show historical Psychological High and Low values (line)
6) Turn labels on and off
7) Change line/label colors
Foot notes:
Use at your own risk and your own responsibility. No guarantees are provided and no responsibility is assumed by the developers of this script.
Original @plasmapug, additional edits (with permission) by @infernixx and @Peshocore
INSECURITY() from @JayRogers (enhanced for gmt offset)
BBI Bollinger BandsBBI (Bull and Bear Index) is an indicator aims on measuring the general short/mid-term (< 1 month) trend and sentiment of the stock/market. It used an average of 4 SMAs (3, 6, 12, 24) as a cut-off of a bullish/bearish trend. In general, YMMV, you can enter when close> BBI and exit when close
[LanZhu] - Bias With DivergenceDescription
Bias is also known as deviation rate which is a technical index derived from the moving average principle. Its function is to measure the deviation degree between the stock price and the moving average line in the process of fluctuation.
Usage
Generally ,
Moving averages of period 6,12,24 and 72 are used in the calculation. Of course, it is adjustable and result in different sensitivity of the deviation rate.
When the stock price is above the moving average, it is positive.
When the stock price is below the moving average, it is negative.
When the stock price is consistent with the moving average, it is zero.
Example,
1. During weak market, we may take when 6-day deviation rate cross both 5 and -5 level to indicate possible overbought and oversold respectively. Reversal or rebound might happen.
2. During strong market, we may take when 6-day deviation rate cross both 8 and -8 level to indicate possible overbought and oversold respectively. Reversal or rebound might happen.
3. When all the bias lines are moving upward and across 0 line, a strong bullish trend might formed and Vice Versa for strong bearish trend
4. Divergence also added to find possible bull or bear reversal on the default bias period which is configurable.
MathFinancialAbsoluteRiskMeasuresLibrary "MathFinancialAbsoluteRiskMeasures"
Financial Absolute Risk Measures.
gain_stdev(sample) Standard deviation of gains in a data sample.
Parameters:
sample : float array, data sample.
Returns: float.
loss_stdev(sample) Standard deviation of losses in a data sample.
Parameters:
sample : float array, data sample.
Returns: float.
downside_stdev(sample, minimal_acceptable_return) Downside standard deviation in a data sample.
Parameters:
sample : float array, data sample.
minimal_acceptable_return : float, minimum gain value.
Returns: float.
semi_stdev(sample) Standard deviation of less than average returns in a data sample.
Parameters:
sample : float array, data sample.
Returns: float.
gain_loss_ratio(sample) ratio of average gains of average losses in a data sample.
Parameters:
sample : float array, data sample.
Returns: float.
compound_risk_score(source, length) Compound Risk Score
Parameters:
source : float, input data, default=close.
length : int, period of observation, default=12)
Returns: float.
MathConstantsLibrary "MathConstants"
Mathematical Constants
E() The number e
Log2E() The number log (e)
Log10E() The number log (e)
Ln2() The number log (2)
Ln10() The number log (10)
LnPi() The number log (pi)
Ln2PiOver2() The number log (2*pi)/2
InvE() The number 1/e
SqrtE() The number sqrt(e)
Sqrt2() The number sqrt(2)
Sqrt3() The number sqrt(3)
Sqrt1Over2() The number sqrt(1/2) = 1/sqrt(2) = sqrt(2)/2
HalfSqrt3() The number sqrt(3)/2
Pi() The number pi
Pi2() The number pi*2
PiOver2() The number pi/2
Pi3Over2() The number pi*3/2
PiOver4() The number pi/4
SqrtPi() The number sqrt(pi)
Sqrt2Pi() The number sqrt(2pi)
SqrtPiOver2() The number sqrt(pi/2)
Sqrt2PiE() The number sqrt(2*pi*e)
LogSqrt2Pi() The number log(sqrt(2*pi))
LogSqrt2PiE() The number log(sqrt(2*pi*e))
LogTwoSqrtEOverPi() The number log(2 * sqrt(e / pi))
InvPi() The number 1/pi
TwoInvPi() The number 2/pi
InvSqrtPi() The number 1/sqrt(pi)
InvSqrt2Pi() The number 1/sqrt(2pi)
TwoInvSqrtPi() The number 2/sqrt(pi)
TwoSqrtEOverPi() The number 2 * sqrt(e / pi)
Degree() The number (pi)/180 - factor to convert from Degree (deg) to Radians (rad).
Grad() The number (pi)/200 - factor to convert from NewGrad (grad) to Radians (rad).
PowerDecibel() The number ln(10)/20 - factor to convert from Power Decibel (dB) to Neper (Np). Use this version when the Decibel represent a power gain but the compared values are not powers (e.g. amplitude, current, voltage).
NeutralDecibel() The number ln(10)/10 - factor to convert from Neutral Decibel (dB) to Neper (Np). Use this version when either both or neither of the Decibel and the compared values represent powers.
Catalan() The Catalan constant
Sum(k=0 -> inf){ (-1)^k/(2*k + 1)2 }
EulerMascheroni() The Euler-Mascheroni constant
lim(n -> inf){ Sum(k=1 -> n) { 1/k - log(n) } }
GoldenRatio() The number (1+sqrt(5))/2, also known as the golden ratio
Glaisher() The Glaisher constant
e^(1/12 - Zeta(-1))
Khinchin() The Khinchin constant
prod(k=1 -> inf){1+1/(k*(k+2))^log(k,2)}
