Bar StatisticsThis script calculates and displays some bar statistics.
For the bar length statistics, it takes every length of upper or lower movements and calculates their average (with SD), median, and max. That way, you can see whether there is a bias in the market or not.
Eg.: If for 10 bars, the market moved 2 up, then 1 down, then 3 up, then 2 down, and 2 up, the average up bars length would be at 2.33, while the average for the down length would be at 1.5, showing that upper movements last longer than down movements.
For the range statistics, it takes the true range of each bar and calculates where the close of the bar is in relation to the true low of it. So if the closing of the bar is at 10.0, the low is at 9.0, and the high is at 10.2, the candle closed in the upper third of the bar. This process is calculated for every bar and for both closing prices and open prices. It is very useful to locate biasses, and they can you a better view of the market, since for most of the time a bar will open on an extreme and close on another extreme.
Eg.: Here on the DJI, we can see that for most of the time, a month opens at the lower third (near the low) and closes at the upper third (near the high). We can also see that it is very difficult for a month to open or close on the middle of the candle, showing how important the first and the last day are for determining the trend of the rest of the month. Indicator
Indicator
Indicator
Indicator
Indicator
Multi Range Pivots
Multi Range Pivots works by recognizing the high and low of the timeframe selected and plotting range high to MEAN averages and range low to MEAN averages.
This is essentially the VWAP pivots updated to include not only VWAP as a MEAN, but also SMA, EMA, VWMA, DEMA, TEMA, TRIMA, KAMA, MAMA, T3, H/L basis and Donchian basis.
Also, with high and low no longer repainting, I was able to add true reliable signals.
Enjoy
Indicator
Indicator
Indicator
vol_rangesThis script shows three measures of volatility:
historical (hv): realized volatility of the recent past
median (mv): a long run average of realized volatility
implied (iv): a user-defined volatility
Historical and median volatility are based on the EWMA, rather than standard deviation, method of calculating volatility. Since Tradingview's built in ema function uses a window, the "window" parameter determines how much historical data is used to calculate these volatility measures. E.g. 30 on a daily chart means the previous 30 days.
The plots above and below historical candles show past projections based on these measures. The "periods to expiration" dictates how far the projection extends. At 30 periods to expiration (default), the plot will indicate the one standard deviation range from 30 periods ago. This is calculated by multiplying the volatility measure by the square root of time. For example, if the historical volatility (hv) was 20% and the window is 30, then the plot is drawn over: close * 1.2 * sqrt(30/252).
At the most recent candle, this same calculation is simply drawn as a line projecting into the future.
This script is intended to be used with a particular options contract in mind. For example, if the option expires in 15 days and has an implied volatility of 25%, choose 15 for the window and 25 for the implied volatility options. The ranges drawn will reflect the two standard deviation range both in the future (lines) and at any point in the past (plots) for HV (blue), MV (red), and IV (grey). Indicator
Indicator
Indicator
Indicator
Indicator
Indicator
Indicator
Supertrend BandsSupertrend Bands
What is the Supertrend indicator?
"The Supertrend indicator is a trend following overlay on your trading chart, much like a moving average, that shows you the current trend direction.
The indicator works well in a trending market but can give false signals when a market is trading in a range.
It uses the ATR (average true range) as part of its calculation which takes into account the volatility of the market. The ATR is adjusted using the multiplier setting which determines how sensitive the indicator is."
"For the basic Supertrend settings, you can adjust period and factor:
- The period setting is the lookback for the ATR calculation
- Factor is the what the ATR is multiplied by to offset the bands from price"
How to use this indicator
This indicator is inspired by a strategy I found. It includes four Supertrend indicators, each with different settings that displays trend strength and support/resistance zones. The default settings are optimal for cryptocurrency but do work quite well for traditional also. I highly recommend you try experimenting with different settings, increasing them to suit the instrument.
The bands are set from low to high, Band 1 being the fastest and Band 4 being the slowest. Band 4 is the one that sets the overall trend so when price is above Band 4, the trend is bullish and vice versa. Trend is strongest when price is above/below Band 1 and gets weaker as it filters through each band. Band 4 provides the strongest support/resistance and if that breaks the trend flips.
In the menu, you will see an option called "Remove Anti Trend?". It is enabled by default and it removes any bearish/resistance bands when the trend is up and any bullish/support bands when the trend is down. When turned off, it will show all Supertrend Bands as they are by default.
Bar Colors
Bar colors are optional and they reflect the current trend strength based on the Supertrend bands.
Alternate ways of using this indicator
You could leave everything as default or you can display individual bands. For instance, because I use many overlay indicators, most of the time I turn off all the bands and only show bar colors:
You can also turn off Bands 1 and 2 and only show the two slowest lengths:
This removes the noise of the two faster Supertrends.
Or just show the two fastest bands:
Any suggestions to improve this indicator are most welcome :) Indicator
Indicator
Indicator
Indicator
Fat Side PathI got the idea for a narrow Donchian Channel with a short lookback period which closely follows the price fluctuation in which the sides of the channel have a thickness according to the range of the last touching candle.
Any channel, be it Donchian, Keltner, Bollinger Bands or Parallel, has an upside and a downside, touching the upside is a buy signal as this may initiate an uptrend, the downside a sell signal because a down trend may come.
This gave me the idea to make only the last touched side fat, thus creating visible switching between uptrend and downtrend. However this is ‘too digital’, as in practice also periods of no trend occur in which signaling a trend would give a false signal. In a Donchian channel (and also Bollinger Bands) such periods are marked by narrowing the channel. So I gave a no trend signal to the sides when the channel is narrower than a minimum width to call a trend. I gave the thing nice colours and proper default settings.
Use of the channel in trading.
I think this thing can be useful for swing trading. In channels two typical things may happen that should be noted by the trader, these are LB, Leaving the Border, which signals a trend reversal and FTT, Failure To Traverse, i.e. the price doesn’t manage to cross the channel to the other side. This affirms the trend. FTT’s are not expected in short lookback channels like this path (Sidenote: Fibonacci levels can be regarded as predictions where FTT’s may occur). The fat side indicates direction. Because somehow trends seem to end with a notable range extension, this channel sometimes produces a “Big Blob” where the trend reverses.
I intend to use this thing together with my Keltner Fibzones channel, where the zones serve as a ‘landscape’ in which the Fat Side Path meanders providing ‘comments’ on the short term price movements.
Indicator
Indicator
Indicator
Indicator
