Regression Line (OLS) w/Residual Bands - Beasley SavagePlots linear regression "line of best fit" for a given source and length. Also plots the standard deviation of residuals as upper and lower bands. For some reason it's not plotting the lines exactly where the values are, so I wouldn't recommend using it as a purely visual indicator, but it could be used in strategies. A quick implementation of a strategy buying when the close crossed over the lower band and selling when close crossed under the upper band resulted in ~60-70% trade accuracy, not taking into account commission/slippage.
If anyone knows how to fix the lines not plotting accurately please let me know :)
Komut dosyalarını "市值60亿的股票" için ara
CM_Ultimate RSI Triple TimeframeCM_Ultimate RSI MTF modified.
enough one extra line? NO, I need more lines!
I added another timeframe's extra RSIline.
default 60/15/5m RSIline
KK_Traders Dynamic Index Higher TimeframeHi Guys,
I was asked to create a script that can access TDI values from higher timeframes - here it is.
You can choose the timeframe in the settings just put the following there:
Weekly - W
Daily - D
4h - 240
1h - 60
...
This only works for higher timeframes than the one you're currently on.
I whish you all good luck trading!
Best regards
KK
Relative Momentum IndexRelative Momentum Index indicator script. This indicator was originally developed by Roger Altman (Stocks & Commodities V. 11:2 (57-60)).
RMI with momentum period of 1 will be equal to an RSI when they have the same period and source price.
GBP combine1. stop trading in one side market
- use what kind of TA to decide one side market?
2. TA might react differently in different session
- inactive session need to RSI 60-40?
3. need to stop trading once daily target is complete?
- what is the daily target?
4. How to loss less?
- (1)
- develop more restriction in strategy?
Better RSI0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100 lines drawn. Easier to see on dark theme. Added bubble indicators to show when price goes above 70 or below 30.
[Tutorial] RSIwings (swings) for find pyramiding entries ->hh,llThis indicator show higher high + higher low and lower high + lower low -> based on RSI modification.
HOW I USE
On a longsetup I set a buyorder on the high, if the RSI swings show red the first time. My stoploss I choose on the lowest price from the red swing before.
After every ending bar without tradeentry I move the buyorder step by step on the last high till the price move up and the longtrade start.
The same game I use for sellorder with the green swings, if I want a shortsetup. Best times for this are retracements from a trendchannel i.e.
HOW I PYRAMIDING
From swing to swing with the same color I move my stoploss. If my risk are 100 USD and with the next moving stoploss are only 60 USD in risk, then I have 40 USD for my next pyramiding trade in the same trendsetup.
WHEN I MOVE MY STOPLOSS
If I have choose a stoploss, than this is fixed till the last highest/lowest price from the other swing is broken.
Any questions? Ask me!
Change Per Period - Tom1traderwww.tradingview.com
Plots the values between current close and close (specified number of periods) ago. User chooses the period defaulted to 1 and the period of a simple moving average of the values in the series. Made this specifically to measure the drift of the VIX exchange traded funds VXX, UVXY and SVXY. The fact that they must drift can be strategic in trading.
In the chart example it shows that VXX drifts down usually between -$10 and -$20 over a 60 day period (eyeball) and that for a few days in February of 2017 it had drifted down -$75. To find a positive change (briefly) you can see you have to go back to November of 2016. If you use Heiken Ashi candles or ohlc bars or change between regular candles and these there is a set of variables in this code that lets you do that without changing your indicator results. Anyhow use it or any of the code if it helps you, good luck with your trading and keep smiling! (any feedback appreciated also :-) )
Noro's OverCloud v1.2 MTFAdded big timeframe
MN = 1 month
W = 1 week
D = 1 day
240 = 4 hours
180 = 3 hours
120 = 2 hours
60 = 1 hours
30 = 30 min
15 = 15 min
etc...
OHLC Volatility Estimators by @Xel_arjonaDISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is by Creative-Commons as TradingView's regulations. Any use, copy or re-use of this code should mention it's origin as it's authorship.
WARNING NOTICE!
THE INCLUDED FUNCTION MUST BE CONSIDERED AS DEBUGING CODE The models included in the function have been taken from openly sources on the web so they could have some errors as in the calculation scheme and/or in it's programatic scheme. Debugging are welcome.
WHAT'S THIS?
Here's a full collection of candle based (compressed tick) Volatility Estimators given as a function, openly available for free, it can print IMPLIED VOLATILITY by an external symbol ticker like INDEX:VIX.
Models included in the volatility calculation function:
CLOSE TO CLOSE: This is the classic estimator by rule, sometimes referred as HISTORICAL VOLATILITY and is the must common, accepted and widely used out there. Is based on traditional Standard Deviation method derived from the logarithm return of current close from yesterday's.
ELASTIC WEIGHTED MOVING AVERAGE: This estimator has been used by RiskMetriks®. It's calculation is based on an ElasticWeightedMovingAverage Standard Deviation method derived from the logarithm return of current close from yesterday's. It can be viewed or named as an EXPONENTIAL HISTORICAL VOLATILITY model.
PARKINSON'S: The Parkinson number, or High Low Range Volatility, developed by the physicist, Michael Parkinson, in 1980 aims to estimate the Volatility of returns for a random walk using the high and low in any particular period. IVolatility.com calculates daily Parkinson values. Prices are observed on a fixed time interval. n=10, 20, 30, 60, 90, 120, 150, 180 days.
ROGERS-SATCHELL: The Rogers-Satchell function is a volatility estimator that outperforms other estimators when the underlying follows a Geometric Brownian Motion (GBM) with a drift (historical data mean returns different from zero). As a result, it provides a better volatility estimation when the underlying is trending. However, this Rogers-Satchell estimator does not account for jumps in price (Gaps). It assumes no opening jump. The function uses the open, close, high, and low price series in its calculation and it has only one parameter, which is the period to use to estimate the volatility.
YANG-ZHANG: Yang and Zhang were the first to derive an historical volatility estimator that has a minimum estimation error, is independent of the drift, and independent of opening gaps. This estimator is maximally 14 times more efficient than the close-to-close estimator.
LOGARITHMIC GARMAN-KLASS: The former is a pinescript transcript of the model defined as in iVolatility . The metric used is a combination of the overnight, high/low and open/close range. Such a volatility metric is a more efficient measure of the degree of volatility during a given day. This metric is always positive.
4 Time Frame Two EMAs Ribbon Comparison - Tom1traderI had seen something like this on metatrader but not here. Since I use TradingView and not metatrader had some fun with this. Indicates up or down for 4 chosen time Frames and as such helps to see the historical trend. Works best on daily or shorter charts because of load time.
User can choose the length of the two exponential moving averages used on each time frame or use defaults 9 and 15.
User can choose the 4 time frames defaults are (display from top to bottom) 5, 15, 60 and D.
Displays a column of 4 dots or circles for each bar of current chart the top being the shortest time frame.
If the faster exponential moving average is above the slower (uptrend) the dot is green else red.
This is similar (actually what I was originally shooting for but took extra time to figure out time frames on here) to another script of mine that has the same display method but uses a spaced set of Hull Moving Averages on one time frame, you choose the shortest length and the space increment between the averages. One may work better than the other for different markets or trading styles. The other one is here: Have fun trading and keep smiling!
Ichimoku CriptomoneyConfigured for criptomonedas in its first version, testing the new configuration based on 10,30,60