Previous N Days/Weeks/Months High LowJapanese below / 日本語説明は下記
This indicator displays previous N days/weeks/months’ highs and lows simultaneously.
N is user input and users can separately input different N for highs and lows.
For instance, if you would like to show past 20days high and 10days low, you specify 20 for high and 10 for low.
Similar to highs and lows of yesterday, last week and last month which I previously developed a indicator for(see the link below), highs and lows of specific terms such as quarters are also respected as supports and resistances.
A legendary trader group, Turtles also uses 20days high/low break as one of their strategies.
Alerts can be set with the conditions below.
-Crossing over previous day’s high
-Crossing under previous day’s low
-Crossing over previous week’s high
-Crossing under previous week’s low
-Crossing over previous month’s high
-Crossing under previous month’s low
Please note that when we say past 2 days in this indicator, past 2days mean yesterday and day before yesterday, so “today” is not included as “today’s” high/low have yet to be fixed.
Related indicator: High/Low Yesterday&Last week&Last month&Last Year
By combining with this indicator, you can highlight important support and resistance.
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過去N日/N週間/Nヶ月の高値·安値を同時に表示することのできるインジケーターです。
Nはパラメーターとなっており、また高値と安値で異なる期間を指定することができます。
例えば、過去20日間の高値と過去10日間の安値という指定が可能です。
昨日、先週、先月の高値·安値と同様に、四半期などの過去一定期間の高値·安値はサポート·レジスタンスとして良く意識されます。
伝説のトレーダー集団タートルズも20日間の高値·安値のブレイクを取引ルールの一つとして使用していたことで有名です。
また、以下の条件でアラート設定が可能です。
-過去N日高値の上方ブレイク
-過去N日安値の下方ブレイク
-過去N週間高値の上方ブレイク
-過去N週間安値の下方ブレイク
-過去Nヶ月高値の上方ブレイク
-過去Nヶ月安値の下方ブレイク
このインジケーターで過去2日間の高値·安値といった場合、過去2日間とは昨日と一昨日の2日間を指します。まだ高値·安値の確定していない本日は含まないことに注意してください。
関連インジケーター: High/Low Yesterday&Last week&Last month&Last Year
当インジケーターと合わせて使用することで、主要なサポートレジスタンスを表示することができます。
Cerca negli script per "20日线角度大于0的股票"
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.
//////////////////
USAGE
//////////////////
-- 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
---------------------
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")
-------------------
LOGGING
-------------------
.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
///////////////////////////////////////
Full Boilerplate For Using In Indicator
///////////////////////////////////////
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")
////////////////////////////
// For Scrolling the Table View
////////////////////////////
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.
/////////////////////
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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NazhoThis is a simple scalping strategy that works for all time frames... I have only tested it on FOREX
It works by checking if the price is currently in an uptrend and if it crosses the 20 EMA .
If it crosses the 20 EMA and its in and uptrend it will post a BUY SIGNAL.
If it crosses the 20 EMA and its in and down it will post a SELL SIGNAL.
The red line is the highest close of the previous 8 bars --- This is resistance
The green line is the lowest close of the previous 8 bars -- This is support
+SuperTrend
Logarithmic Bollinger BandsLogarithmic Bollinger Bands
Published by Eric Thies on January 14, 2022
Summary
In this script I have taken the standard Bollinger band pinescript and made efforts to eliminate the behavior experienced in periods of high volatility in which we see the bands disappear completely off the chart by adding exponential plotting and logarithmic sourcing to the tool.
This tool will also show periods of Bearish and Bullish Expansion for users to see when volatility is running high in the market.
More On Bollinger Bands
Bollinger Bands consist of a center line representing the moving average of a security’s price over a certain period, and two additional parallel lines (called the upper and lower trading bands) one of which is just the moving average plus k-times the standard deviation over the selected time frame, and the other being the moving average minus k-times the standard deviation over that same timeframe. This technique has been developed in the 1980’s by John Bollinger, who lately registered the terms “Bollinger Bands” as a U.S. trademark in 2011. Technical analysts typically use 20 periods and k = 2 as default settings to build Bollinger Bands, while they can choose a simple or exponential moving average. Bollinger Bands provide a relative definition of high and low prices of a security. When the security is trading within the upper band, the price is considered high, while it is considered low when the security is trading within the lower band.
There is no general consensus on the use of Bollinger Bands among traders. Some traders see a buy signal when the price hits the lower Bollinger Band and close their position when the price hits the moving average. Some others buy when the price crosses over the upper band and sell when the price crosses below the lower band. We can see here two opposing interpretations based on different rationales, depending whether we are in a reversal or continuation pattern. Another interesting feature of the Bollinger Bands is that they give an indication of the volatility levels; a widening gap between the upper and lower bands indicates an increasing volatility, while a narrowing band indicates a decreasing volatility. Moreover, when the bands have an almost flat slope (parallel to the x-axis) the price will generally oscillate between the bands as if trading through a channel.
// © 2022 KINGTHIES THIS SOURCE CODE IS SUBJECT TO TERMS OF MOZILLA PUBLIC LICENSE 2.0 (MOZILLA.ORG/MPL/2.0)
//@version=5
//## !<---------------- © KINGTHIES --------------------->
indicator('Logarithmic Bollinger Bands (kingthies)',shorttitle='LogBands_KT',overlay=true)
// { BBANDS
src = math.log(input(close,title="Source"))
lenX = input(20,title='lenX')
highlights = input(false,title="Highlight Bear and Bull Expansions?")
mult = 2
bbandBasis = ta.sma(src,lenX)
dev = 2 * ta.stdev(src, 20)
upperBB = bbandBasis + dev
lowerBB = bbandBasis - dev
bbw = (upperBB-lowerBB)/bbandBasis
bbr = (src - lowerBB)/(upperBB - lowerBB)
// }
// { BBAND EXPANSIONS
bullExp= ta.rising(upperBB,1) and ta.falling(lowerBB,1) and ta.rising(bbandBasis,1) and ta.rising(bbw,1) and ta.rising(bbr,1)
bearExp= ta.rising(upperBB,1) and ta.falling(lowerBB,1) and ta.falling(bbandBasis,1) and ta.rising(bbw,1) and ta.falling(bbr,1)
// }
// { COLORS
greenBG = color.rgb(9,121,105,75), redBG = color.rgb(136,8,8,75)
bullCol = highlights and bullExp ? greenBG : na, bearCol = highlights and bearExp ? redBG : na
// }
// { INDICATOR PLOTTING
lowBB=plot(math.exp(lowerBB),title='Low Band',color=color.aqua),plot(math.exp(bbandBasis),title='BBand Basis',color=color.red),
highBB=plot(math.exp(upperBB),title='High Band',color=color.aqua),fill(lowBB,highBB,title='Band Fill Color',color=color.rgb(0,128,128,75))
bgcolor(bullCol,title='Bullish Expansion Highlights'),bgcolor(bearCol,title='Bearish Expansion Highlights')
// }
Multi MA Trend Following Strategy TemplateTrend following is one of the better known technical trading strategies. But, which trend should you follow? Today I am sharing with the community a trend following template script that includes a selection of over 20 different trends / regressions. Some of these are in the Pine library, and some have been custom coded and contributed over time by the beloved Pine Coder community.
How it works:
This template will plot any of the 20+ trends that you can select in the settings. The strategy component will buy if the trend line is moving up, and will sell if it moves down. If the line is green that indicates that the trend is higher than the prior bar. If the line is red that indicates that the trend is lower than the prior bar. This script is different from many moving average scripts in that it follows the trend itself and doesn't look for a cross of multiple trends.
How to use it:
When wanting to trend follow an instrument, you can use this template to help identify what approach you might want to take and/or which indicator you might want to use. You can also modify the strategy as you see fit and make use of the 20+ incorporated indicators. Incorporate your trade and risk management strategy, or use it as an indicator.
Disclaimer: Open source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. Even though this example script might beat buy and hold over the back-test time-frame, I wouldn't advise using it as a stand-alone strategy without significant additions/modifications to the strategy and risk management functions.
Market Traffic Light (redesigned)redesigned the market traffic light from funcharts, all honor to him, I just put a new design ;-) and some bugfixes
1. Section (Fear & Greed)
Approximation of the CNN Money Fear & Greed index based on code of user MagicEins. The index shows values between 0 (extreme fear, red) and 100 (extreme greed, green).
2. Section (warning signs)
VIX: Values above 20 are red and below green. The legend shows the value of the current bar including the change from the bar before. The average VIX is about 16. Values over 20 are a sign of stressed market.
Distribution days: A distribution day (loss to the day before > 0,2 % and higher volume ) is marked with a yellow dot. In case there are more than four distributions days within 25 markets days the dot is orange. When big players redistribute their investments distribution days can occur. If this is done often (more than four times within 25 market days) it is possible that the markets changes or that a sector rotation occurs. For calculation distribution days futures of S&P 500 ( ES1! ) and NASDAQ ( NQ1! ) are used because the volume for this calculation is needed. TradingView does not support volumes for S&P 500 or NASDAQ directly.
Markets: A green/red dot signals that the market is above/below its 25-Daily-EMA. A green/red square signals that the market is above/below its 25-Weekly-EMA. Markets can give as a feeling about where investors store their money. E.g. when markets are falling but DUX (Down Jones Utility Average) is rising this means that investors put their money into save haven. This can be a sign that the markets will fall more.
3. Section (panic signs, = signs of reaching a low within a correction of a crash)
VIX-Reversion: A VIX reversion day ( VIX > 20 & VIX high > VIX high of the day before & VIX high – VIX close > 3) is marked as a yellow dot
VVIX: A value equal or above 140 is marked with a yellow dot and shows absolute panic.
PCR Intra max: A value equal or above 1.4 is marked with a yellow dot.
New high/lows: New highs/lows are shown for AMEX, NYSE and NASDAQ. A yellow dot is shown if the ratio is less or equal than 0. 01 .
Down-Day: Down days are shown for AMEX, NYSE and NASDA. A yellow dot is shown if at least 90 % of the whole volume (up and down) is a down volume .
In Addition to the warning signs in the second section a check of the Advance Decline Line (NYSE and NASDAQ) for bullish and bearish divergences is useful. The whole set-up can be seen in the screenshot.
Only one signal normally does not give us a good prediction. Therefore we need to see these indication as a bundle. TradingView gives us the opportunity to check some striking market situations in the past. So feel free to test this indication for building up your own opinion.
Please feel free to comment in case of failures, improvements or experiences (good or bad).
10X Market DirectionMy interpretation of John Carter's popular Simpler Trading 10X Bars indicator. Now you can see directional market strength for a variety of key futures , indices and industry groups for quick comparison with individual stocks.
Momentum is displayed to quickly see the quality and strength of a trend based on a calculation of the Directional Movement Index (DMI). The DMI is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The DMI is calculated by comparing prior highs and lows and produces 2 measurements illustrating the strength of the current trend:
-> a positive directional movement line ( +DI ); and
-> a negative directional movement line ( -DI ).
The average directional index ( ADX ) measures the strength of the current trend, either +DI or +DI ; a reading above 20 typically indicates a strong trend.
-> Green bars indicate an uptrend i.e. when +DI is above -DI and ADX is greater than 20 - there is more upward pressure than downward pressure in the price;
-> Red bars indicate a downtrend i.e. when -DI is above +DI and ADX is greater than 20 - there is more downward pressure on the price; and
-> Yellow bars indicate no strong directional trend and potential for a reversal.
This indicator should compliment other popular indicators, as confirmation whether to stay in a position or not.
10X Bars - Directional TrendsMy interpretation of John Carter's popular Simpler Trading 10X Bars indicator.
Momentum is displayed to quickly see the quality and strength of a trend based on a calculation of the Directional Movement Index (DMI). The DMI is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The DMI is calculated by comparing prior highs and lows and produces 2 measurements illustrating the strength of the current trend:
-> a positive directional movement line (+DI); and
-> a negative directional movement line (-DI).
The average directional index (ADX) measures the strength of the current trend, either +DI or +DI; a reading above 20 typically indicates a strong trend.
-> Green bars indicate an uptrend i.e. when +DI is above -DI and ADX is greater than 20 - there is more upward pressure than downward pressure in the price;
-> Red bars indicate a downtrend i.e. when -DI is above +DI and ADX is greater than 20 - there is more downward pressure on the price; and
-> Yellow bars indicate no strong directional trend and potential for a reversal.
Volume spikes 50% above average volume are then flagged as dots at the bottom of the chart (although you can change this location), confirming the momentum further.
This indicator should compliment other popular indicators, as confirmation whether to stay in a position or not.
MTF Bullish/Bearish IndicatorThe script plots a bullish/bearish indicator by evaluating a variety of moving averages for a security across multiple timeframes. It's derived from built in Technical Analysis indicator published by TradingView. The result of evaluation is plotted on the chart in green light/red light format in a configurable location.
evaluated moving averages include
- SMA 10, 20, 30, 50, 100, 200
- EMA 10, 20, 30, 50, 100, 200
- Hull MA 9
- VWMA 20
- Ichimoku Cloud
moving averages are evaluated at chart timeframes and 5 min, 15 min, 30 min, 120 min, 240 min, and daily by default but can be customized.
Baekdoo baselineHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo baseline will give you the idea of big whale's approximate average price. The idea behind this indicator is to combine volume and price. Here's one of the equation.
...
HT4=highest(volume, 250)
NewH4=valuewhen(volume>HT4 , (open+close+low+high+close)/5, 1)
result4=ema(NewH4, 20)
...
As you can see it will update when highest volume is updated by certain period of time. At that update will be the price of the close weighted price. and I put shift value of 20 (offset of input value) due to putting time theorem of Ichimoku Balance Table. 20 days means for 1 month of market day.
Why this idea work? It is mainly for the support / resistance. Resistance is made for lots of individual's buy. When the price goes down, they are tend to hold. As time goes by price getting high to their average price, then they are selling it with small profit or the same price or with small loss. So resistance is made by lots of individuals. And supports are made by small number of big whales. If we see the volume only, then we cannot differentiate easily for lots of individuals and small number of big whales. But lower price's large volume will most probably be the whale where higher price's large volume will most probably tons of individuals.
hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Multi-Length Stochastic Average [LuxAlgo]This indicator returns the average of stochastic oscillators with periods ranging from 4 to length . This allows for a slightly more reactive oscillator as well as having information regarding the position of the price relative to rolling maximums/minimums of different periods.
We introduce settings that allow for pre and post-smoothing, with selectable smoothing methods and periods for both steps.
Settings
Length: Period of the indicator, determine the maximum period of the stochastic oscillator used in the average
Source: Source input of the indicator
Pre-Smoothing (1st Input): Degree of smoothing applied to the source input
Pre-Smoothing (2nd Input): Pre-Smoothing Method
Post-Smoothing (1st Input): Degree of smoothing applied to the final oscillator output
Post-Smoothing (2nd Input): Post-Smoothing Method
Smoothing methods include a simple moving average, a triangular moving average, and a least-squares moving average (this method can induce overshoots during the post-smoothing step). The user can also select "None".
Usages
The "multi-length" aspect of technical indicators is something that hasn't been deeply explored yet such indicators can give us information regarding both short-term and long-term information which was the motivation for the creation of the indicator.
The Multi-length Stochastic Average allows us to quantify the price position relative to a multitude of highest/lowest levels.
In the example above the oscillator returns the average of stochastic oscillators with periods ranging from 4 to 20, as well as multiple rolling minimums with periods ranging from 4 to 20. We can see that when the price is equal to all rolling minimums the oscillator is equal to 0, the oscillator would return 100 if the price were equal to all rolling maximums with periods in that same range.
The oscillator can be interpreted like any scaled oscillator and can be used to estimate trend direction as well as trend strength.
Here we only make of use pre-smoothing by using a period 20 simple moving average. The indicator graphical elements such as colors/circles can help us determine potential directions trends might take.
Circles are displayed when the oscillator crosses over/under the 20/80 level. Such conditions offer better timing than waiting for the oscillator to be greater/lower than 50 and are less subjective to noise than simply looking at the direction taken by the oscillator. However, it can suffer from potential retracements in a trend more easily, this is illustrated in the chart above.
[KL] Double Bollinger Bands Strategy (for Crypto/FOREX)This strategy uses a setup consisting of two Bollinger Bands based on the 20 period 20-SMA +/-
(a) upper/lower bands of two standard deviations apart, and
(b) upper/lower bands of one standard deviation apart.
We consider price at +/- one standard deviation apart from 20-SMA as the "Neutral Zone".
If price closes above Neutral Zone after a period of consolidation, then it's an opportunity for entry. Strategy will long, anticipating for breakout.
The illustration below shows price closing above the Neutral Zone after a period of consolidation.
a.c-dn.net
Position is exited when prices closes at Neutral Zone (being lower than prior bars)
Optimized Keltner Channels SL/TP Strategy for BTCThis strategy is optimized for Bitcoin with the Keltner Channel Strategy, which is TradingView's built-in strategy. In the original Keltner Channel Strategy, it was difficult to predict the timing of entry because the Buy and Sell signals floated in the middle of the candle in real time. This strategy is convenient because if the bitcoin price hits the top or bottom of the Keltner Channel and closes the closing price, you can enter Buy or Sell at the next candle start price. In addition, this strategy provides Stop Loss and Take Profit functions to maximize profit.
_________________________________
Recommended settings are below.
- length: 9
- multiplier: 1
- source: close
- (v) Use EMA
- Bands Style: Average True Range
- ATR Length: 19
- Stop Loss (%): 20
- Take Profit (%) : 20
_________________________________
- length: 9
- multiplier: 1
- source: close
- (v) Use EMA
- Bands Style: Average True Range
- ATR Length: 18
- Stop Loss (%): 20
- Take Profit (%) : 5
_________________________________
▶ Usefulness and Originality
- Stop Loss and Take Profit functions are available
- Convenient Buy and Sell entry compared to the original Keltner Channel Strategy
- Optimized for BTCUSD market (maximizing profits)
___________________________________________
이 전략은 TradingView의 Built-in 전략인 Keltner Channel Strategy를 비트코인에 맞게 최적화되었습니다. 기존의 Keltner Channel Strategy는 Buy, Sell 신호가 캔들 중간에 실시간으로 떠서 진입 시점을 예측하기 어려운 불편함이 있었지만 이 전략은 비트코인 가격이 Keltner Channel 상단 혹은 하단을 찍고 종가를 마감하면 그 다음 캔들 시작가에서 Buy 혹은 Sell 진입이 가능하여 편리합니다. 또한, 이 전략은 Keltner Channel을 만나서 캔들을 마감한 가격 (bprice, sprice)을 시각적으로 plot을 제공하여 타점 및 차트를 보기에 편리하며 손절가 및 목표가를 지정한 백테스팅이 가능합니다.
[KBCUSTOM] Histogramified Stochastic RSI The public and regular stoch RSI does not come with a histogram which makes it hard to tell the magnitude of any cross. This version comes with one enabled by default and with includes buy and sell triggers on specified crosses.
Buy & Sell Options:
KB Cross Factor: this is the minimum stochastic change between candles that needs to be exceeded in order to trigger a buy or sell signal. For instance, if the previous candle has a value of -20, and the next one has 10, then the factor should be 30 in order for it to trigger a signal.
KB Cross Threshold: in order to minimize bad signals due to weak trend, you can set the minimum stochastic value any candle should have for an order signal to trigger. For instance, say the stochastic has a good cross factor (i.e. 30) and is met, and the stochastic has a value of 10 but your cross threshold is set at 20, then the signal will not trigger unless it is actually 20 or higher.
Let me know how it works.
Cheers.
Drawdown RangeHello death eaters, presenting a unique script which can be used for fundamental analysis or mean reversion based trades.
Process of deriving this table is as below:
Find out ATH for given day
Calculate the drawdown from ATH for the day and drawdown percentage
Based on the drawdown percentage, increment the count of basket which is based on input iNumber of ranges . For example, if number of ranges is 5, then there will be 5 baskets. First basket will fit drawdown percentage 0-20% and each subsequent ones will accommodate next 20% range.
Repeat the process from start to last bar. Once done, table will plot how much percentage of days belong to which basket.
For example, from the below chart of NASDAQ:AAPL
We can deduce following,
Historically stock has traded within 1% drawdown from ATH for 6.59% of time. This is the max amount of time stock has stayed in specific range of drawdown from ATH.
Stock has traded at the drawdown range of 82-83% from ATH for 0.17% of time. This is the least amount of time the stock has stayed in specific range of drawdown from ATH.
At present, stock is trading 2-3% below ATH and this has happened for about 2.46% of total days in trade
Maximum drawdown the stock has suffered is 83%
Lets take another example of NASDAQ:TSLA
Stock is trading at 21-22% below ATH. But, historically the max drawdown range where stock has traded is within 0-1%. Now, if we make this range to show 20 divisions instead of 100, it will look something like this:
Table suggests that stock is trading about 20-25% below ATH - which is right. But, table also suggests that stock has spent most number of days within this drawdown range when we divide it by 20 baskets instad of 100. I would probably wait for price to break out of this range before going long or short. At present, it seems a stage ranging stage. I might think about selling PUTs or covered CALLs outside this range.
Similarly, if you look at AMEX:SPY , 36% of the time, price has stayed within 5% from ATH - makes it a compelling bull case!!
NYSE:BABA is trading at 50-55% below ATH - which is the most it has retraced so far. In general, it is used to be within 15-20% from ATH
NOW, Bit of explanation on input options.
Number of Ranges : Says how many baskets the drawdown map needs to be divided into.
Reference : You can take ATH as reference or chose a time window between which the highest need to be considered for drawdown. This can be useful for megacaps which has gone beyond initial phase of uncertainity. There is no point looking at 80% drawdown AAPL had during 1990s. More approriate to look at it post 2000s where it started making higher impact and growth.
Cumulative Percentage : When this is unchecked, percentage division shows 0-nth percentage instad of percentage ranges. For example this is how it looks on SPY:
We can see that SPY has remained within 6% from ATH for more than 50% of the time.
Hope this is helpful. Happy trading :)
PS: this can be used in conjunction with Drawdown-Price-vs-Fundamentals to pick value stocks at discounted price while also keeping an eye on range tendencies of it.
Thanks to @mattX5 for the ideas and discussion today :)
[VJ] Hulk Smash IntraThis is a simple intraday strategy for working on Stocks or commodities based out on Super Trend and ever reliable ADX . You can modify the start time and end time based on your timezones. Session value should be from market start to the time you want to square-off
Important: The end time should be at least 2 minutes before the intraday square-off time set by your broker
Comment below if you get good returns
Strategy: Supertrend and ADX strength (Hulk Smash)
Indicators used :
Super trend is simple and easy to use indicator and gives a precise reading about an on going trend.It is built with two parameters, namely period and multiplier.The Buy and Sell signal modifies once the indicator tosses over the closing price. When the Super trend closes above the Price, a Buy signal is generated, and when the Super trend closes below the Price, a Sell signal is generated. In this case we use it only for direction .
ADX informs a trader when the market is trending.It filters out anti trend trades to help trend chasing indicators from frequent whipsaws
Multiplier is a vital input for Super trend. If the multiplier value is too high, then lesser number of signals is made.
Buying/Selling
• If the price is going UP, and the ADX indicator is also going UP, then we have the case for a bullish trend.
• The same is true if the price is going down and the ADX indicator is going UP. Then we have the case for a bearish trend.
• Value of ADX below 20 is called trading zone which implies non-trending market
• Trade with Strength only if the Super trend is validating
ADX Values
0 - 20 : Non Trending (Range bound market, phase of Accumulation/Distribution)
20-45 : Strong Signal (helpful for traders)
45-60 : Very strong trend (occur rarely, indicate exhaustion)
60 - 100 : Extremely strong trend (very rare, unsustainable trends, be ready for reversals)
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
ADX Factor : vary as per info above
ST multiplier : 3
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
Rolling ReturnsWhat does this indicator show?
This indicator shows the rolling return of a set lookback period.
The default indicator value is 20 which will show the rolling 20-day return because 20 trading days is 1 month.
LargestMarketCapsThis trading system uses a MA to check if the LARGEST CAP stocks are above or below the MA.
You can see from the indicator below how well it manages to capture big moves.
It aggregates the data of all the tickers to create the histogram indicator at the bottom of the chart called MarketLeaders.
If a ticker is above its moving average, then the output will increase by +1 and -1 if a ticker is below its moving average.
This is a powerful system because it uses not only data from one stock but from the stocks that really affect the market big time. If those stocks don't do well, the market won't do well either.
Basically if all the market leaders are doing well, then this system will buy those 20 tickers and keep positions open until the MarketLeaders indicator crosses below 0 -- meaning red.
It also has a red stop loss line, with a wide 15% stop loss to keep us in the trades for the long term.
I've used a 5-day chart because I wanted fewer signals, but higher quality signals.
There are no profit targets, this exits when the indicator turns red -- meaning below 0 or if a position falls 15% in price.
The MA setting is adjustable, the default is 20
These are the tickers that the strategy and indicator currently looks at
The tickers will need to be updated every 6-12 months to remove and ad those who have dropped out of the largest 20 stocks.
It would be a good idea to create a watchlist and alerts for the Large Cap tickers so you can scroll through to see how the system performed on each ticker
"SPX"
"QQQ"
"AAPL"
"MSFT"
"GOOG"
"FB"
"BRK.A"
"TSLA"
"V"
"JPM"
"WMT"
"UNH"
"MA"
"KO"
"PYPL"
"PG"
"HD"
"DIS"
"BAC"
"ADBE"
"CMCSA"
"NKE"
RELATED IDEAS / Indicators
Market Leaders Ribbon
Market Leaders Large Performance Table
RedK Volume-Weighted Directional Efficiency Index (DXF)RedK Volume-Weighted Directional Efficiency Index (DXF) is a momentum indicator - that builds on Kaufman's Efficiency Ratio (ER) concept.
DXF utilizes a restricted +100/-100 oscillator to represent the "quality" of a trend, and does a good job in detecting the possibility of an upcoming trend change (in both direction and quality), improving our ability to make decisions on trade entries and exits.
Here's a quick background on Kaufman's Efficiency Ratio (ER)
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Developed by Perry Kaufman and introduced in his book “New Trading Systems and Methods”, the Efficiency Ratio reflects relative market speed to volatility. There are cases, when it is used as a filter, which helps a trader to avoid ”choppy” markets or trading ranges and to identify smoother trends.
ER is the result of dividing the net change in price movement during n-periods by the sum of all bar-to-bar price changes during the same n-periods. In case the market is trending smoother, then the ratio will be higher. In case the ratio shows readings in proximity to zero, this implies that market movement is inefficient and ”choppy”.
If the Efficiency Ratio shows a reading of +100, this means that the trading instrument is in a bull trend and trending with perfect efficiency.
If the Efficiency Ratio shows a reading of -100, this means that the trading instrument is in a bear trend and trending with perfect efficiency.
It is impossible for any instrument to have a perfect Efficiency ratio, because any movement against the major trend during the examined period of time would cause the ratio to drop.
If the Efficiency Ratio shows a reading above +30 (common setting for the "Significant Level"), this is indicative of a quality bull trend. If the ratio shows a reading below -30, this is indicative of a quality bear trend.
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Kaufman also used the ER as basis for his famous Kaufman Adaptive Moving Average (KAMA).
Read more on ER & Kama here
How is DXF different from other ER-based indicators?
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- Let's get the easy part out of the way: DXF has a "volume-weighting" option ✔
This option is OFF by default (to avoid errors with instruments with no volume data)
- once this option is applied, it provides the benefit of combining the volume effect into the calculation - those who appreciate the effect of volume on price action will hopefully find this option valuable
- The calculation of ER and how it can be "best utilized":
Let's examine the ER concept a bit closer: as a (math) concept, the (original) Efficiency Ratio (ER) takes the positive change of the price of an instrument during a certain period, and divide it by the sum of (absolute) price moves that were observed during that same period.
So, in the trader's language, we will be saying "out of a total of $20 moves (up and down) that MSFT did in the past 10 days, MSFT only made a net change of $5 up during that period" - so the "10-day ER" for MSFT in that case is 5/20 = 25% -- then we continue to observe that ongoing "10-day ER" and if it increases, we can expect that MSFT is going to establish a strong move (trend) up --- right?
the magic word here is to "observe the ongoing ER" - many of the ER based indicators just use the ER as calculated by Kaufman's original method. IMHO, these are just "point-in-time readings" - if we hope to get real insights from the ER, we need to take an average of that reading - for our "time window" we're interested in - and only then we can identify trends and patterns in the ER value as it changes during that windowss- DXF does that - and that allows a trader to say "the (weighted) 5-day average of the 10-day ER for MSFT is increasing, and that why i expect an up-trend" -- makes sense ? both the "Lookback" used to calculate the ER, and the Length of observed "window" for the Average ER are adjustable in DXF settings
Other Uses and Settings :
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- As a momentum indicator, DXF can predict an upcoming change of trend - cause that will reflect on the average ER value. There are few examples in the chart where the price move and ER trend *do not agree* - The trader can see these signs and take decisions accordingly
- DXF can help reveal best entries and exits: assume we are long-term bullish on MSFT, and we want to "buy the dip" - DXF can help reveal the time where price is recovering from extreme weakness - and that would be the ideal buy opportunities for us - exampled marked on the chart
- the Stepping & Smoothing options enable better visualization of the DXF plot. the "raw" DXF is still shown as a silver line.
- The "Significant Levels" option is available and is set to -20/+20 by default .. also adjustable in indicator settings.
- Please use DXF in combination with other trend and volume indicators, and with thorough chart / price action analysis and not in isolation to ensure you get proper signal confirmation for trades. In the chart above, you can see DXF combined with a moving average that can act as a filter and to confirm the price moves.
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As usual, feedback & comments are welcome - if you find this work useful in your trading arsenal, please share a comment - i would be more than happy to learn about that. Good luck!
Modified RSI Multi-Time Frame (HM)Effective RSI with Multi-Timeframe with Hilema - Milega(HM) concept (HM=WMA -EMA). RSI Script is included with WMA and EMA band for RSI1 and it works very simple
i) When the RSI band turns to Green its a Buy signal. Normally whenever Bearish strength weakens and move towards the Bullish area, the WMA and EMA cross each other and that tends to provide a possible trend change. A trade at crossover normally provides a very good trading oppertunity. One can combine with some other Price action if needed for double confirmation.
ii)When RSI band turns to RED its a Sell signal. As explained in the point 1 , its a vice-versa where a crossover of WMA and EMA is perfect entry to get a good swing trade. Once can combine this tool with Price action for double confirmation.
iii) Using the Multi timeframe user could able to find the trend at higher timeframe to take double confirm on the trend strength and take a perfect oppertunity to take the trade.
By default, script uses the RSI with length 14, WMA 21 and EMA 3 which perfectly working for Index in NSE. Please change as per your requirement.
Apart from the above band, RSI is not have the different levels like 20/ 40 /50/60/80
Multi-timeframes currently set as
RSI1 - Same as Chart
RSI2 - 15 Min
RSI3 - 60 Min
RSI4 - Daily
Script has enabled the option to change the values for these timeframes as per the user requirement.
These ranges can be interpreted and acts as a probable swing points based on the trend and momentum.
40-60 - Neutral Range or Sideways
20 - 60 Bearish range
40 - 70 - Bullish range
Below 20 -- Over Sold Zone
Above 80 - over Bought zone
Also, the crossovers of the WMA and EMA on the RSI gives a very good momentum towards that trend.
BTC top bottom weekly oscillatorThis indicator is based on the 20 weekly simple moving average and it could be used to help finding potential tops and bottoms on a weekly BTC chart.
This version uses an "oscillator" presentation, it fluctuates around the value zero.
The indicator plots 0 when the close price is near the 20 weekly moving average.
If it's below 0 it reflects the price being below the 20 weekly moving average, and opposite for above.
IT's possible to see how many times the price has hit the 0.5 coef support. In one case it hit 0.6 showing that the 0.5 support can be broken.
The indicator is calculated as Log(close / sma(close))
Instructions:
- Use with the symbol INDEX:BTCUSD so you can see the price since 2010
- Set the timeframe to weekly
Optionals:
- change the coef to 0.6 for a more conservative bottom
- change the coef to 0.4 for a more conservative top
Magic BandBSE:DLF
I have integrated Moving average, Bollinger bands and Exponential moving average. It has two SMA,
The first thing is 20 SMA with blue coloured SMA line source as high and red coloured SMA line source as low, this together forms a band which can be used for a swing trade, usually useful in bull run of the stock and price tries to get support on this band.
the second thing in this is similar to the previous set up but it plots 89 period EMA, this becomes useful in the smaller timeframe when one step larger timeframe is near to 20 SMA band
the third thing is plots of Bollinger band with 20 SMA, which gives us an idea on volatility.
McClellan Oscillator for nifty 50This is a indicator which indicates breath of the market.
If found relevant do let me know!!
Only handpicked relevant 20 stocks (20 +ve indicator+ 20 -ve indicator) from different sector .
As there is the limit of 40 script allowed only.
Further modifications might be there if the limit is increased to 100 (50 +50 indicator) .
