LT Sigma Chart 2.0The indicator uses colours to identify whether price has become extremely “overbought” or extremely “oversold”. Sigma is a measure of standard deviation, which is what this indicator uses. Usually when price moves 2 (or 3) standard deviations beyond the mean average, price can often become over-extended (e.g. extremely overbought or oversold) – and usually this is followed by a reversion to the mean.
When the price enters the red sigma zone, this indicates that the price has probably become extremely “extended” in one direction – and that there is a probability that it could revert back to the mean (i.e. pullback to the blue zone). When price moves into the upper red sigma zone, this can indicate the price is extremely “overbought”. When price moves into the lower red sigma zone, this can indicate the price is extremely “oversold”. Usually, on balance of probabilities, when price enters the red sigma zones, there is a likelihood that price could revert back to the blue zone (i.e. reversion back to the mean) – although there is no certainty of this happening, but only a probability. For this reason we prefer to combine Sigma with momentum – i.e. the sigma wave momentum dots (which is provided with the LT Sigma 2.0 indicator).
The yellow sigma zone denotes when price is moderately overbought/oversold (depending on whether it is the upper or lower yellow zone respectively). The blue zone shows the mid-levels. The indicator has a feature which shows “green” dots in the middle of the red zones – this usually indicates the middle of the red zone, which is often the likely or probable levels where price may test. There is also a “white” or “yellow” dot which is beyond the red zone – this shows 2 standard deviations beyond the green dot, an indication of increasing risk in case the price moves beyond the green dot into the white dot region. A chartist can use the distance from the green dot to the white dot as a measure of risk (and to minimise risk) in case the price did not revert back to the mean from the red zone.
In some circumstances, such as when the momentum is strong, it is possible for the price to ignore the red sigma zone and continue moving beyond the red sigma zone (hence the risk and why it is important to minimise such risks).
As mentioned, we prefer to use LT sigma with momentum – i.e. the sigma wave momentum – which is provided with the LT Sigma 2.0 indicator. The sigma wave momentum is a simple momentum based indicator (similar to MACD) which can help show us the likely path of least resistance and the strongest trend. When the sigma wave momentum is above zero and increasing (i.e. bullish), it is shown ABOVE the sigma indicator as a blue dot (in the lower panel indicator). This can indicate increasing momentum to the upside. Similarly when sigma wave momentum is below zero and increasing lower (i.e. bearish), it is shown below the sigma indicator as a blue dot, this can indicate increasing momentum to the downside. The grey dots on the sigma wave momentum denote dissipating or decreasing momentum.
To further increase probabilities, we prefer to use sigma with sigma wave momentum (which can act as a sigma “filter”). If the sigma wave momentum dot is blue and in the LOWER section (i.e. below the sigma indicator), and the price on the sigma enters the upper red sigma zone, the probability is usually higher for the price to drop and fall back to the mean (revert to the mean) – meaning pullback back to the sigma blue zone. Vice versa applies: if sigma momentum dot is blue and in the UPPER section (i.e. above the sigma indicator) and price then enters the lower red sigma zone, the probability is usually higher for the price to bounce and revert back to the mean – meaning pullback to the blue sigma zone.
The probabilities are different and lower if the sigma wave momentum does not align with the sigma indicator. For example, if price is rallying higher and the sigma wave momentum dot is bullish (i.e. blue and above the sigma indicator) then the odds of a reversion to the mean is lower. Similarly if price is dropping and the sigma wave momentum dot is bearish (i.e. blue and below the sigma indicator) then the odds of a reversion the mean is lower. The grey dots denote dissipating momentum so they would be irrelevant in this context.
When using the indicator on very volatile markets such as cryptos, metals, individual stocks and lower timeframe charts, it is better to apply the strict criteria filter in the settings.
Chartists should be aware of the probabilistic and uncertain nature of price action and the markets, and therefore prepare to limit and control any potential risks. The indicator can be used on the charts of the majority of markets (e.g. stocks, indices, ETFs, currencies, cryptocurrencies, precious metals, commodities etc.) and any timeframe. It should be noted that the degree of noise and randomness increases significantly on lower timeframes. So the lower the timeframe that is chosen (e.g. 15-min or lower) the greater the degree of noise and randomness and therefore the higher the frequency of false signals or whipsaws. The indicator can be applied to candlesticks and OHLC bar charts.
If you would like access, please send me a PM on Tradingview.
Indicateurs d'étendue
LT Sigma 2.0The indicator uses colours to identify whether price has become extremely “overbought” or extremely “oversold”. Sigma is a measure of standard deviation, which is what this indicator uses. Usually when price moves 2 (or 3) standard deviations beyond the mean average, price can often become over-extended (e.g. extremely overbought or oversold) – and usually this is followed by a reversion to the mean.
When the price enters the red sigma zone, this indicates that the price has probably become extremely “extended” in one direction – and that there is a probability that it could revert back to the mean (i.e. pullback to the blue zone). When price moves into the upper red sigma zone, this can indicate the price is extremely “overbought”. When price moves into the lower red sigma zone, this can indicate the price is extremely “oversold”. Usually, on balance of probabilities, when price enters the red sigma zones, there is a likelihood that price could revert back to the blue zone (i.e. reversion back to the mean) – although there is no certainty of this happening, but only a probability. For this reason we prefer to combine Sigma with momentum – i.e. the sigma wave momentum dots.
The yellow sigma zone denotes when price is moderately overbought/oversold (depending on whether it is the upper or lower yellow zone respectively). The blue zone shows the mid-levels. The indicator has a feature which shows “green” dots in the middle of the red zones – this usually indicates the middle of the red zone, which is often the likely or probable levels where price may test. There is also a “white” or “yellow” dot which is beyond the red zone – this shows 2 standard deviations beyond the green dot, an indication of increasing risk in case the price moves beyond the green dot into the white dot region. A chartist can use the distance from the green dot to the white dot as a measure of risk (and to minimise risk) in case the price did not revert back to the mean from the red zone.
In some circumstances, such as when the momentum is strong, it is possible for the price to ignore the red sigma zone and continue moving beyond the red sigma zone (hence the risk and why it is important to minimise such risks).
As mentioned, we prefer to use LT sigma with momentum – i.e. the sigma wave momentum. The sigma wave momentum is a simple momentum based indicator (similar to MACD) which can help show us the likely path of least resistance and the strongest trend. When the sigma wave momentum is above zero and increasing (i.e. bullish), it is shown ABOVE the sigma indicator as a blue dot (in the lower panel indicator). This can indicate increasing momentum to the upside. Similarly when sigma wave momentum is below zero and increasing lower (i.e. bearish), it is shown below the sigma indicator as a blue dot, this can indicate increasing momentum to the downside. The grey dots on the sigma wave momentum denote dissipating or decreasing momentum.
To further increase probabilities, we prefer to use sigma with sigma wave momentum (which can act as a sigma “filter”). If the sigma wave momentum dot is blue and in the LOWER section (i.e. below the sigma indicator), and the price on the sigma enters the upper red sigma zone, the probability is usually higher for the price to drop and fall back to the mean (revert to the mean) – meaning pullback back to the sigma blue zone. Vice versa applies: if sigma momentum dot is blue and in the UPPER section (i.e. above the sigma indicator) and price then enters the lower red sigma zone, the probability is usually higher for the price to bounce and revert back to the mean – meaning pullback to the blue sigma zone.
The probabilities are different and lower if the sigma wave momentum does not align with the sigma indicator. For example, if price is rallying higher and the sigma wave momentum dot is bullish (i.e. blue and above the sigma indicator) then the odds of a reversion to the mean is lower. Similarly if price is dropping and the sigma wave momentum dot is bearish (i.e. blue and below the sigma indicator) then the odds of a reversion the mean is lower. The grey dots denote dissipating momentum so they would be irrelevant in this context.
When using the indicator on very volatile markets such as cryptos, metals, individual stocks and lower timeframe charts, it is better to apply the strict criteria filter in the settings.
Chartists should be aware of the probabilistic and uncertain nature of price action and the markets, and therefore prepare to limit and control any potential risks. The indicator can be used on the charts of the majority of markets (e.g. stocks, indices, ETFs, currencies, cryptocurrencies, precious metals, commodities etc.) and any timeframe. It should be noted that the degree of noise and randomness increases significantly on lower timeframes. So the lower the timeframe that is chosen (e.g. 15-min or lower) the greater the degree of noise and randomness and therefore the higher the frequency of false signals or whipsaws. The indicator can be applied to candlesticks and OHLC bar charts.
If you would like access, please send me a PM on Tradingview.
cum1or-1DeepL Translation-------------------------------------------------------------------------------------------------------------------------------------------
If you compare the positive line to 1 and the negative line to -1,
and then add them together, you can see how the shape changes compared to the price chart
This is an indicator that I made to look at.
It is subjective, but I think it is easy to understand the trend.
日本語---------------------------------------------------------------------------------------------------------------------------------------------------------
陽線を1、陰線を-1としその合計を出した価格チャートと比較して形がどのように変化するか、
見てみたいと思い作ったインジケーターです。
主観になりますがトレンドが分かりやすいかなと思います。
TRADERS COMPANION BUY AND SELL INDICATORTHE 'PROBLEM'
A lot of buy and sell strategies are based on price action being at a particular (support) level, crossovers of different moving averages or of price action over moving averages. Whilst this is a safe way to trade, the price paid is lost earnings , whilst one waits for price/moving averages to reach a particular level/configuration. So for instance price may have to move X% before it crosses over a critical level and only then is a trade taken - the X% is usually 'lost'.
THE 'SOLUTION'
My motivation was to write a buy and sell indicator which makes (long) calls as early as possible therefore maximising profits and minimising losses whilst also identifying local tops at which profits may be taken if so desired.
THE METHOD
The philosophy of this indicator is centred around analysis of candlestick parameters for the present candle and comparing these to those of previous candles at set points. The results of these comparisons are then correlated with moving averages of price action and in so doing one is able to detect shift reversals earlier than conventional indicators would. Consequently, a signal can be created very close to the bottom of a rally. In addition, a 'take profit' signal can be created from what has been identified as a local top. Please refer to the attached chart where it becomes evident quite immediately that buy and TP signals allow for maximisation of a given trend, hence maximisation of profits.
MARKETS
The script may be applied to any market i.e. crypto, forex, stocks - as long as there's a chart on Tradingview, it will work.
CONDITIONS
The script works well in all time frames. Obviously at higher time frames one gets 'cleaner' signals since high time frames are themselves a kind of filter, given that lower time frames are 'busy' by nature.
CAVEAT
Whilst great care and attention has been put into polishing and re-polishing this script, it needs to be stated that it's not perfect. Two issues that one needs to be aware of:
1.) Sometimes signals will not be made as early as the actual bottom of a rally.
Mitigation for this is two fold:
a.) Most of the calls made by the script are close to a bottom and therefore profits realised from this are far more than any losses accrued from a late call.
b.) The script should never be used in isolation but along with TA strategies and common sense.
2. Sometimes a 'bad' call will be made.
Mitigation for this is two fold:
a.) The script has a 'smart' feature that calls for exit signals as soon as it's realised that the long call was not a favourable one. This enables one to minimise losses by cutting them quickly.
b.) The script should never be used in isolation but along with TA strategies and common sense.
PLEASE PERUSE ATTACHED CHART
I encourage you to please peruse the attached 'GOBTC' chart for a demonstration of the script in play.
HOW TO GET AND USE THE SCRIPT
Since its invite only, please PM me and I will be happy to add you. Once added, you will see the list under Indicators>Inviteonlyscripts>TRADERS COMPANION at which point you click and it will show on your chart. It also needs to be stated that there is a no obligation trial period during which one is encouraged to 'test-drive' the script to ones hearts content.
Advanced Fractal Dimension Index [DW]This is an experimental study based on Benoit Mandelbrot's fractal dimension concepts.
Fractal dimension is a ratio providing a statistical measure of complexity comparing how detail in a pattern changes with the scale at which it's measured.
The concept of a fractional or fractal dimension was derived from an unconventional approach to standard geometric definitions.
We all know the standard geometric rules of dimension: D=0 is a point, D=1 is a line, D=2 is a plane, and D=3 is a volume, based on the number of axes being occupied.
However, by taking a fractal geometric approach, we can define dimension like so:
N = s^-D , where N is the number of measurement segments, s is the scale factor, and D is the dimension of the object being measured.
This approach typifies conventional knowledge of dimensions as well. Here are some basic examples:
If we divide a line segment into 4 equal line segments, then we'd get 4 = (1/4)^-D. Solving for D, we get D=1, which is what we'd expect from a line.
If we divide a square into 16 equal squares, we'd be separating each line on the square into 4 pieces, so 16 = (1/4)^-D. Solving for D, we get D=2, which is what we'd expect from a square.
If we divide a cube into 64 equal cubes, we'd be separating each line on the cube into 4 pieces, so 64 = (1/4)^-D. Solving for D, we get D=3, which is what we'd expect from a cube.
The same approach can be applied to fractal objects, although admittedly it's less intuitive.
Let's say you use a stick to measure a curve, then you divide the stick into 3 equal segments and re-measure the length.
But rather than the re-measured curve showing a length of 3 of the smaller segments, it is actually 4 segments long.
This irregularity means that detail has increased as you scaled your measurement down, so the curve is dimensionally higher than the space it resides in.
In this example: 4 = (1/3)^-D. Solving for D, we get D=1.2619.
For a true fractal, this scaling of self-similar measurements would continue infinitely.
However, unlike true fractals, most real world phenomena exhibit limited fractal properties, in which they can be scaled down to some limited quantity.
Many forms of time series data (seismic data, ECG data, financial data, etc.) have been theoretically shown to have limited fractal properties.
Consequently, we can estimate fractal dimension from this data to get an approximate measure of how rough or convoluted the data stream is.
Financial data's fractal dimension is limited to between 1 and 2, so it can be used to roughly approximate the Hurst Exponent by the relationship H = 2 - D.
When D=1.5, data statistically behaves like a random walk. D above 1.5 can be considered more rough or "mean reverting" due to the increase in complexity of the series.
D below 1.5 can be considered more prone to trending due to the decrease in complexity of the series.
In this study, you are given the option to apply equalization (EQ) to the dataset before estimating dimension.
This enables you to transform your data and observe how its complexity changes as well.
Whether you want to give emphasis to some frequencies, isolate specific bands, or completely alter the shape of your waveform, EQ filtration makes for an interesting experience.
The default EQ preset in this script removes the low shelf, then attenuates low end and high end oscillations.
The dominant cyclical components (bands 3 - 5 on default settings) are passed at 100%, keeping emphasis on 8 to 64 sample per cycle oscillations.
In addition, if you're wanting a simpler filter process, or if you want a little extra, there are options included to pre and post smooth the data with 2 pole Butterworth LPFs.
The dimension estimation in this script works by measuring changes in detail using source's maximum range over a given lookback length.
In essence, it recursively updates its length parameter based on changes in range compared to the maximum over the lookback period, then uses the data to solve for D.
The FDI algorithm works on any length greater than 1. However, I didn't notice any particularly meaningful results with lookback lengths of 15 or less.
A custom color scheme is included in this script as well for FDI fill and bar colors.
The color scheme in this script is a multicolored thermal styled gradient.
The scale of gradient values is determined by the designated high and low dimension thresholds. These thresholds determine what range of values the gradient will focus on.
Values at the high threshold are the coolest and darkest, and values at the low threshold are the warmest and brightest.
Basically, the "trendier" the data is, the brighter and warmer the color will be.
Signals and alerts are included as well for crossovers on the high and low dimension thresholds.
These signals can also be externally linked to another script.
The output format is 1 for the trigger, and 0 otherwise. Basic boolean logic.
To integrate these signals with your script, simply use a source input and select the signal output from this script that you wish to use from the dropdown menu.
Fractal dimension is a powerful tool that can give valuable insight about the complexity and persistence / anti-persistence of price movements.
When used in conjunction with other analytical methods, it can prove to be a surprisingly beneficial tool to have in the arsenal.
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This is a premium script, and access is granted on an invite-only basis.
To gain access, get a copy of the indicator overview, or for additional inquiries, send me a direct message.
I look forward to hearing from you!
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General Disclaimer:
Trading stocks, futures, Forex, options, ETFs, cryptocurrencies or any other financial instrument has large potential rewards, but also large potential risk.
You must be aware of the risks and be willing to accept them in order to invest in stocks, futures, Forex, options, ETFs or cryptocurrencies.
Don’t trade with money you can’t afford to lose.
This is neither a solicitation nor an offer to Buy/Sell stocks, futures, Forex, options, ETFs, cryptocurrencies or any other financial instrument.
No representation is being made that any account will or is likely to achieve profits or losses of any kind.
The past performance of any trading system or methodology is not necessarily indicative of future results.
VVOscillator [nb]Multiple volume oscillators in one.
Description:
As Warren Guppet once said, be “fearful when others are buying less, and greedy when others are selling less.”
Divergences are the main point of usage of all bundled indicators.
OBV Oscillator, remade. The formula has been changed to smooth out the way OBV is calculated during a trending move
OBV Oscillator, original OBV formula.
Price Volume Trend Oscillator. Similar to OBV, except price is taken into account as well.
Price Volume Trend Oscillator, log.
Accumulation/Distribution. (close - low) - (high - close) / (high - low), then multiplied by volume
Chaikin Money Flow . Very similar to accum/dist except it was already made into an oscillator.
OBV just by itself. Change style to line for easier interpretation.
Experimental function that utilizes a part of CCI
This is the unedited "Variable Volume Oscillator v1" released for free use. In the time since I've created it, I've realized it's something I'd like to share because I like it and hope you will too.
Example: Monte Carlo SimulationExperimental:
Example execution of Monte Carlo Simulation applied to the markets(this is my interpretation of the algo so inconsistencys may appear).
note:
the algorithm is very demanding so performance is limited.
High - Low Trend TunnelHigh - Low Trend Tunnel Experiment.
Using latest pinescript Array support!
Plotting Highest highs and Lowest lows for specific length (can be defined in settings).
The blue line is whom determinate the direction.
Blue line is the average of the highest highs and lowest lows smoothed by EMA.
Green - Up Trending.
Red - Down Trending.
Yellow - Squeeze, a reversal might be coming.
Any suggestions/comments are welcome as this is an experiment.
TMSignal Trend Channel V1.0TMSignal Trend Channel V1.0: Automatically calculates bullish , bearish or lateral channels. %Pearson's R is added for better trend analysis.
Deviations can be configured and adjusted for greater precision in the marked channels.
We hope you like it! Contact us any question or improvement suggestions.
High/Low meterUsing the new 'pinescript' array support to build an High/Low tunnel meter.
Using the Array to save only X HIGHEST HIGHS and Y LOWEST LOWS.
By the X and Y i build a tunnel - X is the top line (highs) and Y bottom line (lows)
Green - Up Trending
Red - Down Trending
Yellow - Reversal / drawback might occur.
Rain On Me PRO 3/3This is the part 3 of Rain On Me PRO. It follow my two other indicators "Rain On Me" and "Rain On Me V2". This version is called "PRO" because it is less "user-friendly" than the two previous versions. But it is more faster, and cleaner than ever!
This indicator is separated into 3 parts. You can find all parts into my profile in the « Scripts » section. Once the 3 parts together, the indicator is complete.
Here are the features for this part:
-MTF Fibonacci on 10 levels with level 0 in the middle and an "info panel" to indicate you the key levels. You can set an alert for each level cross.
-MTF High/Low (Red dots is last low and green dots is last high).
-Bollinger.
-Ichimoku Cloud with baseline (red) and alerts (SenkouA and SenkouB Cross or Tenkan and Kijun Cross).
Everything is fully customizable in settings.
To place an alert, always choose the "Once per bar" option.
Many functions are still to come. So don't hesitate to report bugs, suggestions and follow me to always be kept informed of the next updates to come!
//ALWAYS DELETE INDICATOR AND ALERTS AND RESET THEM AFTER AN UPDATE!
Thank again everyone for your support!
A BIG THANKS TO QUANTNOMAD FOR GIVING ME ITS AUTHORIZATION TO USE, MODIFY AND REPUBLIC ITS "Ultimate Pivot Points Alerts" script indicator:
Good trade everyone! And remember, money management is the most important!
Rain On Me PRO 2/3This is the part 2 of Rain On Me PRO. It follow my two other indicators "Rain On Me" and "Rain On Me V2". This version is called "PRO" because it is less "user-friendly" than the two previous versions. But it is more faster, and cleaner than ever!
This indicator is separated into 3 parts. You can find all parts into my profile in the « Scripts » section. Once the 3 parts together, the indicator is complete.
Here are the features for this part:
-Support/Resistance and Range lines (Red is Resistance, Yellow is Range, Green is Support).
-MTF Trend Line following the trend with red color for bearish trend and green color for bullish trend (Based on volume so it work only where the volume information flux is available).
-MTF Fractals with alerts. (Zigzag based on high and low).
Everything is fully customizable in settings.
To place an alert, always choose the "Once per bar" option.
Many functions are still to come. So don't hesitate to report bugs, suggestions and follow me to always be kept informed of the next updates to come!
//ALWAYS DELETE INDICATOR AND ALERTS AND RESET THEM AFTER AN UPDATE!
Thank again for your support!
Good trade everyone! And remember, money management is the most important!
TMsignal - Auto Fibonacci V1.0TMSignal Auto Fibonacci V1.0: Automatically calculates the Fibonacci Retracement + Extension of 161.8% in order to always have it plotted in a "millimeter" way.
At the same time, it allows viewing or removing the different levels, so that each one can be configured as desired.
We hope you like it! Contact us any question or improvement suggestions.
BANKNIFTY Adv/Dec1) BANKNIFTY Index Advance-Decline count
2) Each session, it reads the number of stock are +Ve or -Ve
3) Whichever the side +Ve or -Ve side moving stock is more than count will be plotted
4) at +/- 7 drawn a dotted line if Count is > = +/-7 Nifty is moving in a strong army
Eg:-
in the current session, 7 Stock is moving in +Ve direction & 6 are in -Ve direction
7 count will be plotted in the chart
Example: Graph style - 4th Dimension RSIEXPERIMENTAL:
Drawing RSI in the 4th dimension(time).
It shows the fluctuations of the RSI and price change over a period of time(10) in a scatter like graph. there is a inversion of axis to make possible graphing the 2 properties.
Fama-French 3 Factor ModelFama-French 3 Factor Model
Extension of the Capital Asset Pricing Model (CAPM)
CAPM
Ra = Rfr +
where,
Ra = Return of the Asset
Rfr = Risk-Free Rate
βa = Beta Coefficient of the Asset
Rm - Rfr = Market Risk Premium
Fama-French 3 Factor
r = rf + β1*(rm - rf) + β2(smh) +β3(hml)
r = Expected rate of return
rf = Risk-free rate
ß = Factor’s coefficient (sensitivity)
(rm – rf) = Market risk premium
SMB (Small Minus Big) = Historic excess returns of small-cap companies over large-cap companies
HML (High Minus Low) = Historic excess returns of value stocks (high book-to-price ratio) over growth stocks (low book-to-price ratio)
Small is set to $EWSC
Invesco S&P SmallCap 600® Equal Weight ETF
Big is set to $EQLW
Invesco S&P 100 Equal Weight ETF
High is set to $IUSV
iShares Core S&P US Value ETF
Low is set to $IUSG
iShares Core S&P US Growth ETF
returns selections
'returns'
'logarithmic returns' (use for realized (historical) returns)
'geometric returns' (compounded returns)
risk-free rate selections:
$DTB3
$DGS2
$DGS5
$DGS10
$DGS30
tf = primary time-frame
rtf = reference time-frame
Kal's MTF OBV Haar Version 3Kal’s Multi-Time-Frame On-Balance-Volume Haar, also known as Kal’s MTF OBV Haar is a method/study for finding trending volume levels on stocks, indexes and cryptocurrencies using OBV, CMF and CCI over different time-frames (10Min, 1H, 4H, 1D, 1W, 1Month).
Upon adding to the 10Min chart, the sample Image in Tradingview looks as follows:
Note: Always check your time-frame(TF). Compare current TF to a row’s(bead row’s) time-frame. Ensure current TF is lower than a row’s time-frame when looking at it and higher time-frame rows above it. For instance, if you choose your chart’s time-frame at 1D, the lower time-frame rows(i.e. 10Min, 1H, 4H) don’t make sense.
For cryptocurrencies, one week is 7 periods, two weeks is 14 periods
For stocks, one week is 5 periods, two weeks is 10 periods
For the study of stocks, I used
9-period EMA over OBV for time-frames (10Min, 1H, 4H, D)
4-period EMA over OBV for time-frames (W, M)
For the study of cryptocurrencies, I would update EMAs as follows:
13-period EMA over OBV for time-frames (10Min, 1H, 4H, D)
6-period EMA over OBV for time-frames (W, M)
These days I'm finding the following parameters have better fitting
19-period EMA over OBV for time-frames (10Min, 1H, 4H, D)
9-period EMA over OBV for time-frames (W, M)
Description:
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In the study plot, the lowest row is 10Min, the row above 10Min is 1H, then 4H, then 1D, then 1W and the highest row is 1M
Note: Always check your time-frame(TF). Compare current TF to a row’s(bead row’s) time-frame. Ensure current TF is lower than a row’s time-frame when looking at it and higher time-frame rows above it. For instance, if you choose your chart’s time-frame at 1D, the lower time-frame rows(i.e. 10Min, 1H, 4H) don’t make sense.
Lime( Bright Green) dot implies Trending Uptrend for that time-frame
Red dot implies Trending Downward for that time-frame
It’s best to wait and research for possibility of Trend Reversal during the following dots/bricks:
Silver dot implies indecisive up
Orange dot implies indecisive downtrend
Lime Brick implies CCI is near Zero line( between 15 and 0)
Red Brick implies CCI is near Zero line( between -15 and 0)
Purple dot implies CCI zero rejection to possibly/probably continue trend UP
Yellow dot implies CCI zero rejection to possibly/probably continue trend Down
Aqua dot implies that trend is overbought or oversold. This dot usually happens between red dots or green dots. Therefore, it’s best to wait for pull-back especially in lower time frames.
Safe Trading!
Kal Gandikota
Legal Disclaimer: This script is published here so I get replies from fellow viewers to educate myself. Hence, if anyone uses this script for making their financial decisions, I am not responsible for any failures incurred. If you have questions or improvements related to this script, please feel free to leave comments and as time permits, will respond to those comments.
Previous Candle High and LowThis Indicator add's a label over and below the previous candle which show's it's high and low values.
NIFTY Adv/Dec Live Count1) NIFTY Index Advance-Decline count
2) Each session, it reads the number of stock are +Ve or -Ve
3) Whichever the side +Ve or -Ve side moving stock is more than count will be plotted
4) at +/- 25 drawn a dotted line if Count is > = +/-25 Nifty is moving in a strong army
Eg:-
in the current session, 30 Stock is moving in +Ve direction & 10 are in -Ve direction
30 count will be plotted in the chart
Portfolio: alpha, beta, stdev, variance, mean, max drawdown...Portfolio Metrics **New**
'returns'
'log returns'
'geometric returns'
portfolio alpha
portfolio beta
portfolio,market correlation
portfolio standard deviation
portfolio variance
mean portfolio returns
maximum drawdown
maximum gain
Stoch X, an Indicator of Indicators by DGTStochastic refers to a randomly determined process and financial markets use stochastic models to represent the seemingly random behaviour of assets and then used by quantitative analysts to value options on asset prices
The stochastic oscillator, developed by George Lane, presents the location of the closing price of a stock in relation to the high and low range of the price of a stock over a period of time. Lane has said that the stochastic oscillator does not follow price or volume or anything similar. He indicates that the oscillator follows the speed or momentum of price.
Traditionally, readings over 80 are considered in the overbought range, and readings under 20 are considered oversold. Please note that, very strong trends can maintain overbought or oversold conditions for an extended period and traders should look to changes in the stochastic oscillator for clues about future trend shifts. It is advised to check the higher timeframe of your trading timeframe and see where you are in the “big picture”
Signal crosses , intersection of stochastic and its signal line is considered to be a signal that a reversal may be in the works
Divergence between the stochastic oscillator and trending price action is also seen as an important reversal signal
Lane also reveals in interviews that, as a rule, the momentum or speed of the price of a stock changes before the price changes itself . In this way, the stochastic oscillator can be used to foreshadow reversals when the indicator reveals bullish or bearish divergences. This signal is the first, and arguably the most important, trading signal Lane identified.
What is Stochastic X ?
Stochastic X , is essentially an indicator of an indicator, providing stochastic calculation to some of well known indicators, such as RSI, MFI, OBV, etc. This means that it is a measure of selected specific indicator relative to its own high/low range over a user defined period of time.
Features of Stoch X
1- Displays Stoch of and indicator plus a companion indicator (companion display can be disabled from user dialog box)
Available options
Stoch Source plus PM A, where Source is close price and PMA refers to Price Distance to its Moving Average (for further details you may check my study of Price Distance to its MA by DGT, and different application of distance concept available with “MACD-X, More Than MACD" And “P-MACD”)
Stoch RSI plus RSI , Stoch RSI, developed by Tushar Chande and Stanley Kroll, is a build-in indicator available on Trading View, where Stoch X adds RSI as a companion indicator to Stoch RSI
Stoch MFI and MFI , where MFI is Money Flow Index, measures buying and selling pressure through analyzing both price and volume
Stoch OBV + VO , Where OBV is On Balance Volume, is a momentum indicator that measures positive and negative volume flow. VO stands for Volume Oscillator which aims to confirm a market turnaround or trend reversal
Stoch EWO + EWO , EWO stands for Elliott Wave Oscillator
By default the threshold levels are indicated and are displayed differently for the regular Stoch or Stoch RSI. Overbought band (70-80), oversold band (20-30) and middle line (0) are emphasized
Warning : Centered Oscillators base line is moved from 0 to 50 to better suit with Stoch X, which is applied to PMA, VO and EWO
2- Can be plotted along with Stoch in the same window using the same scaling
To avoid misinterpreting the area between Stoch X and its Signal Line is highlighted automatically in case Stoch is selected to be plotted
3- Squeeze Indicator added as Add-on in the bottom of the Stoch X
During volatile market conditions the stochastic oscillator has been known to produce false signals. One way to help with this is to take the price trend as a filter, or basic chart pattern analysis can help to identify major, underlying trends and increase the Stoch X's accuracy.
This study implements Squeeze Indicator to help and add additional insight for filtering false signals. Blue diamond shapes indicates the squeeze release, that is volatility increased and according to momentum direction the buy/sell possibility can be considered. Orange ones displays consolidation periods, that is low volatility and the market is assumed to be in squeeze and no trade is recommended. in this phase.
Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Bull & Bear support resistanceDescription
The concepts of trading level support and resistance are undoubtedly two of the most highly discussed attributes of technical analysis. Part of analyzing chart patterns, these terms are used by traders to refer to price levels on charts that tend to act as barriers, preventing the price of an asset from getting pushed in a certain direction.
At first, the explanation and idea behind identifying these levels seem easy, but as you'll find out, support and resistance can come in various forms, and the concept is more difficult to master than it first appears.
How to use
- Support/Resistances can be used as Take profit
- Recommended for longer timeframes.
- Red color means potential oversold // Green color meas potential overbought
How to get access to the script:
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