Bullish above 0 Bearish below 0 Buy signal above 100 Sell signal below 100 The higher the number and the volume the stronger the signal is. In extreme market behavior, counter trend signal are early sign of weakness that can take more or less time before reversing the trend. Signal in the direction of the trend are more efficient. Of course it work better...
Shows the coefficient of variation defined as standard deviation over mean (for the specified window).
A way to manage portfolio risk using relative standard deviation, also known as coefficient of variation. This tool tells you how much of each stock in shares and in value to buy adjusted for their volatility risk for a given starting account capital. A problem many people have is how to diversify an account and adjusting it for the risk involved in each equity....
Market Flow COG (Overlay) Market Flow COG in the "Overlay" version offers you a variety of modules to do analysis on the market flow . I'm using my own definition of market flow since I'm actively doing scientific research on that topic and developing concepts and tools around it. This indicator is best used together with Market Flow COG (Oscillator) ,...
This indicator is for calculating the volatility of any interval mTR (green line): TR is extended to calculate multiple bars at once with magnification setting. mATR (red line): ATR is extended to calculate multiple bars at once with magnification setting. dev (blue line): standard deviation If you turn on "divide source" in the settings, it will be the price...
Based on the work of Alex Groove : https://www tradingview com/script/YnoXd2AY-forecasting-quadratic-regression/ and also based on https://www tradingview com/script/YnoXd2AY-forecasting-quadratic-regression/ by capissimo Notes: 1. This Bollinger Bands uses the QREG as its middle line (not MA as the original Bollinger Bands) so this should be acknowledged. 2....
SHORT DESCRIPTION This study is an improved, flexible, fully-customizable version of the one proposed by Steve Karnish of Cedar Creek Trading, who aimed to create an oscillator based on Bollinger Bands , with the goal of spotting divergencies that occurs outside the bands yet providing valuable entries on the crossings trough a smoothed signal. IMPROVINGS ...
The Kolmogorov–Smirnov test aims to tell you if the distribution of prices (or log returns) tends to follow a normal distribution or not. You can read about this test on Wikipedia . It seems to be a basic but trusted measure in the quantitative trading world. When KS-t columns are blue, then it's safe to assume normal distribution. When they are red, the normal...
Been a minute since a public script! This one looks at the range and recommends potential reversal depending on degree of overextension. Originally intended for low timeframe short time horizon reversals but works well on higher timeframes as well. Oscillator included in the image so you can see under the skirt and check what's happening.
In order to make more sense of trading volume in crypto … Based on the Better Volume Indicator (curtesy of Emini-Trading (emini-watch.com) and the TradingView Adaption by LazyBear (). My tweaks/adaptations: - altered the calculation of low volume (c11) in the LB adaptation since it represents the original code better (in my opinion) - takes volume of multiple...
A way to see whether RSI is overbought or oversold inside its Bollinger Bands in the form of an oscillator. Z-score tells you how far the data is from the mean in terms of standard deviations. The numbers shown in the indicator are the number of standard deviations away from the average or mean. Like Bollinger Bands, if it is above the standard deviation border...
The original bollinger bands have a fixed deviation of 2%, this channel calculates the ATR % (Atr Percentage) and places the upper and lower bands
I've created a simple oscillator which I think does a good job of easily showing you when price is worth watching or not. I think all too often you get stuck looking at something like an RSI and end up trading noise. From my observations and experiences, I've found that there are 2 major catalysts for price movement-- Price is either trending and reaches a...
Draw a VWAP support/resistance line anchored to the origin of the data series (like a daily VWAP, but from the beginning of time, never resetting). Ideally the origin would be the first bar after the IPO. Tradingview (or your connected broker) doesn't always have a complete dataset, and in that case the OVWAP will be 'wrong', but converging to the correct value...
Coefficient of variance GME ‰ Gray area: Regional price variance of GME in per milles Light gray thick line: NYSE:GME deviation from global mean 1. Select a chart 24-hour ticker like FX_IDC:USDEUR 2. Select a timescale (5 min, 15 min, ...) 3. Monitor the regional price variance Exchanges included: NYSE, XETR, BMV, FWB, SWB, BITTREX, FTX Currency conversion:...
Yet another way to try and measure volatility. An alternative to using ATR is Standard Deviation, it can be used to measure volatility or what is also known as risk. SD measures how dispersed or far away the data is from the mean. It's commonly seen in risk management formulas or portfolio diversification formulas. The problem however is that the numbers that ATR...
Enhanced Sigma by Cryptorhythms Sigma is basically the deviation of returns compared to past returns. The higher / lower the value, shows you how deviated from the average this current bars returns are. While perhaps not usable as a complete strategy for entering and exiting, its still quite useful and informative. It can give interesting signals as to...
Annualised Price Volatility in percent, also called Instrument Risk, as outlined by Rob Carver in his excellent books, 'Systematic Trading' and 'Leveraged Trading'. This is written for those who have read one of his books and want to use this tool on TradingView. Trend strength, oscillators, and volume indicators are all the rage. Finding a great setup is, of...