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 ...
This strategy will enter into long position based on the volatility of prices implied by indicators of (a) Bollinger bands, and (b) ATR. Application of Bollinger bands ("BOLL") Using plain vanilla settings for BOLL (i.e. 20 period moving average, and 2 standard deviations of closing prices), we are interested to know about the shape of the area that is bounded...
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...
Introduction Have you ever heard that each candle represents a battle between bulls (buyer) and bears (seller)? If you know the answer, apparently you understand what the price action means. What if I ask you, how much was bloody in each battle between bulls and bears?!. This indicator may give a clear picture of how to identify the candle’s strength by...
Plots the price level that the most recent EMA crossover occurred at(Green if bullish and red if bearish). Also calculates standard deviation over a shorter window-length/lookback period (of 'n_std_fast' length) and another over a much longer span of periods(n='n_std_slow', > 'n_std_fast'). These are the two dotted lines appearing as bands around the cross-level line.
Trend Identifier Indicator helps to identify the Trend of intermediate time frame automatically. It shows the trend and RSI position for Intraday, Daily and Swing time-frame in one go. IF RSI is > 70 = RSI High RSI is < 65 > 35 = RSI Side RSI is < 30 = RSI Low For Trend High, Low and Side, it makes it's own calculation and identifies the trend for...
This is an open source and updated version of my previous "Confidence Interval" script. This script provides you with the expected range over a given time period in the future and the skew of that range. For example, if you wanted to know the expected 1 standard deviation range of MSFT over the next 20 days, this will tell you that. Additionally, this script will...
█ OVERVIEW “The benchmark Dow Jones Industrial Average is off nearly 300 points as of midday today...” “So what? Is that a lot or a little? Should we care?” -Adam H Grimes- This screener aims to provide Bird-Eye view across sector indices, to find which sector is having significant or 'out-of-norm' move in either direction. The significance of the move is...