Smart Indicator 28 - Swing Pivots (Higher Highs and Lower Lows)A simple way to find Higher Highs and Lower Lows (HH and LL) whit automatic Fibonacci Lines in the most common levels.
In this indicator the Higher Highs only happens when a high value are rising from each other in the last "Length of Real Pivots" highs and the next same number of highs are falling in every single bar.
The Lower Lows are inverted, LL only appears if a low is falling in every single bar in the last number of length and the lows price of the "n" bars next are rising.
You can use this Indicator in any kind of market.
Volatilità storica
Normailzed CandleThis indicator normalizes Day's candle with Open. Idea is to see the daily movement in the context of the Open of the Day.
Larry Williams talks about Open being the most important price of the day. Hence, this indicator.
The Green line is average Open-to-High for occurrences of Red days. The Red line is average Open-to-Low for occurrences of Green days.
Average are not perfect calculations since occurrences(of Red or Green) will vary within the time-span used for averages.
These can used to gauge likelihood of the intra-day price reversal. If the price exceeds green/red line, there is higher likelihood of the price closing above/below open.
The blue lines are average Open-to-close for Green and Red occurrences.
Be careful on days where consecutive 3rd Highest High or Lowest Low day is made and also on the next day after such day. Prices may turn direction at least for a short while.
The precursor to this script of the Candle Infopanel script. That script was just numbers in panel and this is a graphical representation. I
Some of the calculations from original script are commented here because it would make visuals clutters (and probably the left-out calculation are not critical to making trade decisions!)
Candle Information Panel//This indicator shows Day's candle measurements with past averages. First column shows the candle details for the present day.
//"Open - Low", "High - Open", "Range(=High-low)", "Body(open-close)"
//Averages are calculated for occurences of Green and Red days. Up Averages are for Green days and Down Averages are for Red days.
//Average are not perfect calculations since occurences(of Red or Green) will vary within the timespan used for averages.
//This can used to guage general sense of probability of the price movement.
//e.g. if the Open to Low for a day exceeds UpAv value, then there is higher likelihood of day being Red.
//similarly, trade can be held in expectation of price reaching the DnAv and stop loss can be trailed accordingly.
//Not a perfect system. But something to work on further to increase price action understanding.
//Be careful on days where consecutive 3rd Highest High or Lowest Low day is made and also on the next day after such day. Prices may turn direction at least for a short while.
Complete Credit goes to @pinecoders who gave me the main script on tradingview chat room.
NavCoin SwapsSimple line chart showing the price of navcoin swaps against three other similarly 'small cap' cryptos that are competing in similar space. PIVX, MTL, and ARK. Double-click the line or click the settings icon to change colors etc.
All are Nav / Othercoin, so a line moving up means othercoin is losing value relative to Nav, and down means of course the other coin is now worth more Nav.
Volatility / Kurtosis / Skewness / CorrelationCalculations for Historical Volatility, Kurtosis, Skewness and Historical Correlation between two assets.
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If you find it useful please consider a tip/donation :
BTC - 3BMEXEDyWJ58eXUEALYPadbn1wwWKmf6sA
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US Treasury Yield CurveThis indicator plots the US treasury yield curve as maturity (x-axis/time) vs yield (y-axis/price)
VIX reversion-Buschi
English:
A significant intraday reversion (commonly used: 3 points) on a high (over 20 points) S&P 500 Volatility Index (VIX) can be a sign of a market bottom, because there is the assumption that some of the "big guys" liquidated their options / insurances because the worst is over.
This indicator shows these reversions (3 points as default) when the VIX was over 20 points. The character "R" is then shown directly over the daily column, the VIX need not to be loaded explicitly.
Deutsch:
Eine deutliche Intraday-Umkehr (3 Punkte im Normalfall) bei einem hohen (über 20 Punkte) S&P 500 Volatility Index (VIX) kann ein Zeichen für eine Bodenbildung im Markt sein, weil möglicherweise einige "große Jungs" ihre Optionen / Versicherungen auflösen, weil das schlimmste vorbei ist.
Dieser Indikator zeigt diese Umkehr (Standardwert: 3 Punkte), wenn der VIX vorher über 20 Punkte lag. Der Buchstabe "R" wird dabei direkt über dem Tagesbalken angezeigt, wobei der VIX nicht explizit geladen werden muss.
Realized VolatilityRealized / Historical Volatility
Calculates historical, i.e. realized volatility of any underlying. If frequency is not the daily, but for example 6h, 30min, weeks or months, it scales the initial setting to be suitable for the different time frame.
Examples with default settings (30 day volatility, 365 days per year):
A) Frequency = Daily:
Returns 30 day historical volatility, under the assumption that there are 365 trading days in a year.
B) Frequency = 6h:
Still returns 30 day historical volatility, under the assumption that there are 365 trading days in a year. However, since 6h granularity fits 4 times in 24 hours, it rescales the look back period to rather 30*4 = 120 units to still reflect 30 day historical volatility.
Dumb Indicator 17 - Retracement and market directionsThis indicator shows when the market is oversold or overbought changing the bar colors as the High+Low/2 going to extreme.
Historical Volatility RankSame formulation of IVR but based on Historical Volatility instead.
Serves the same purpose as IV rank.
ATR Ratio vs. BitcoinAverage True Range is used to determine if a ticker's trading range is widening or narrowing, which is helpful for finding the trend or to use as a stop loss. The idea of this indicator is to compare the ATR of altcoins versus bitcoin, since volatility is low.
XBT Volatility Weighted Bottom Finder. [For Daily Charts]An update to:
Made it into and indicator.
v. 0.0.1
DESIGNED FOR DAILY CHARTS
Dumb Indicator 9 - Bitfinex Shorts X LongsThis is a way to study how the crypto market is going on Bitfinex, you can see the diference between the Long and Short terms on most popular pairs.
Inverted Yield Curve with VIX Fear IndexUS 2 year and US 10 year comparison, inverted yield curve with VIX. I use this on a weekly chart with 2 moving averages, the 40 week (ma200 daily) and the 520 week (10 year median).
The bottom histogram is the VIX and the plot is the yield curve. When the VIX is above a certain level (you can set it in settings) and the ýield curve is close to or at inversion the background goes red.
The last seven recessions were preceded by an inverted yield curve. Here I combined the two main fear indexes, the VIX and the run for safe US treasuries (Inverted Yield Curve).
This is preset to the 2 year and 10 year US bond, weekly, and the normal VIX ticker but you can set it to whatever you like.
Published with source code for anyone to modify. Please comment below if you do so! This is the second in a series of indicators I intend to publish as a package of economic recoverty/recession symptom indicators.
Follow me for updates, next one up is commodities with dr Copper and oil!
Bitfinex Longs vs Shortssexy view of the current long/short positions on Bitfinex. I saw some pay-for, hidden-source-code version of this and thought: "oh man."
Toby Crabel's narrow range with historical volatility1. Find bar with the smallest narrow range for a chosen period. Use hvol for filter.
2. Place stop-order for long position at previous high and stop-order for short at previous low to catch breakout in any direction.
3. Take profit on the next bar.
ka66: Volatility MomentumThis is a 'monitoring' indicator to see if an instrument is viable enough to be traded, by virtue of volatility (or lack of volatility in context may lead to a break out), or may become so. It shows the following information:
Price Range (high - low) averaged across a set of bars: Useful gauging potential trading profits. This was its initial goal, to not measure bars manually!
ATR : As a comparison point for the price range above. Divergence between true range (TR) and plain price range might signal volatility changes occurring in the instrument.
Signal volatility line : a moving average of the larger of the average price range and ATR. This takes inspiration from other indicators like MACD and Stochastic, and is a way of comparing change in recent volatility --- this achieves the momentum part. The larger was chosen to keep things simple, and not have a signal line per range!
avgRange = movingAvg(high - low, avgPeriod)
atr = movingAvg(trueRange, avgPeriod)
signal = movingAvg(max(avgRange, atr), avgPeriod)
Configurable periods and averaging mechanism.
ka66: Average Bar RangeAverages price ranges (high - low) across a set of bars in a given timeframe. Additionally, also plots the Average True Range (ATR) as a better comparison for volatility.
Configurable period and averaging mechanism.
Useful for gauging minimum profits and price movement over a period, a filter for historical volatility.
Furthermore, executing trades is better done with channels like ATR/Keltner channels, or Bollinger Bands.
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.
