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Statistical and Financial MetricsGood morning traders! This time I want to share with you a little script that, thanks to the use of arrays, allows you to have interesting statistical and financial insights taken from the symbol on chart and compared to those of another symbol you desire (in this case the metrics taken from the perpetual future ETHUSDT are compared to those taken from the perpetual future BTCUSDT, used as a proxy for the direction of cryptocurrency market) By enabling "prevent repainting", the data retrieved from the compared symbol won't be on real time but they will static since they will belong to the previous closed candle Here are the metrics you can have by storing data from a variable period of candles (by default 51): ✓ Variance (of the symbol on chart in GREEN; of the compared symbol in WHITE) ✓ Standard Deviation (of the symbol on chart in OLIVE; of the compared symbol in SILVER) ✓ Yelds (of the symbol on chart in LIME; of the compared symbol in GRAY) → yelds are referred to the previous close, so they would be calculated as the the difference between the current close and the previous one all divided by the previous close ✓ Covariance of the two datasets (in BLUE) ✓ Correlation coefficient of the two datasets (in AQUA) ✓ β (in RED) → this insight is calculated in three alternative ways for educational purpose (don't worry, the output would be the same). WHAT IS BETA (β)? The BETA of an asset can be interpretated as the representation (in relative terms) of the systematic risk of an asset: in other terms, it allows you to understand how big is the risk (not eliminable with portfolio diversification) of an asset based on the volatilty of its yelds. We say that this representation is made in relative terms since it is expressed according to the market portfolio: this portfolio is hypothetically the portfolio which maximizes the diversification effects in order to kill all the specific risk of that portfolio; in this way the standard deviation calculated from the yelds of this portfolio will represent just the not-eliminable risk (the systematic risk), without including the eliminable risk (the specific risk). The BETA of an asset is calculated as the volatilty of this asset around the volatilty of the market portfolio: being more precise, it is the covariance between the yelds of the current asset and those of the market portfolio all divided by the variance of the yelds of market portfolio. Covariance is calculated as the product between correlation coefficient, standard deviation of the first dataset and standard deviation of the second asset. So, as the correlation coefficient and the standard deviation of the yelds of our asset increase (it means that the yelds of our asset are very similiar to those of th market portfolio in terms of sign and intensity and that the volatility of these yelds is quite high), the value of BETA increases as well According to the Capital Asset Pricing Model (CAPM) promoted by William Sharpe (the guy of the "Sharpe Ratio") and Harry Markowitz, in efficient markets the yeld of an asset can be calculated as the sum between the risk-free interest rate and the risk premium. The risk premium of the specific asset would be the risk premium of the market portfolio multiplied with the value of beta. It is simple: if the volatility of the yelds of an asset around the yelds of market protfolio are particularly high, investors would ask for a higher risk premium that would be translated in a higher yeld. In this way the expected yeld of an asset would be calculated from the linear expression of the "Security Market Line": r_i = r_f + β*(r_m-r_f) where: r_i = expected yeld of the asset r_f = risk free interest rate β = beta r_m = yeld of market portfolio I know that considering Bitcoin as a proxy of the market portfolio involved in the calculation of Beta would be an inaccuracy since it doesn't have the property of maximum diversification (since it is a single asset), but there's no doubt that it's tying the prices of altcoins (upward and downward) thanks to the relevance of its dominance in the capitalization of cryptocurrency market. So, in the lack of a good index of cryptocurrencies (as the FTSE MIB for the italian stock market), and as long the dominance of Bitcoin will persist with this intensity, we can use Bitcoin as a proxy of the market portfolio
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Drun30 tarafından
2
Power Bar [racer8]Introduction: 🌟 The Power Bar indicator is a powerful volatility indicator that can detect power bars 💪. A power bar is just a really big price bar that forms after a price base. A price base is chart pattern consisting of many low volatility price bars (bars that have small ranges). To detect such powerful bars, the PB indicator uses the following formula: PB = ( Absolute value of current close - previous close ) / ( Previous price range over n periods ) Looking at the formula, you can see that PB compares the current change in closing price to the n-period base pattern's range. Strong PB values are typically greater than a value of 1. If n periods = 10, the indicator will look back 11 periods. The 11 periods includes the 10-period base plus the current price bar. 10 periods is the default setting for the indicator. After the calculation, PB is then plotted as a histogram. Along with the histogram, a horizontal dashed line is also plotted. PB's other setting controls the dashed line's level. This level is preset at a default value of 1. The dashed line is just a way to filter out weak PB values, and to generate signals. A signal is generated when the PB histogram is above the dashed line. Objective: 🤔 This indicator shall prove very useful to you if your main objective is to trade only the best chart pattern in the market...and the base pattern is one of the best, if not the best chart pattern that exists today. This indicator is a mechanical way of detecting the chart pattern. Enjoy! 🥳
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racer8 tarafından
3
Comprehensive BandsComprehensive Bands is an unabashed mashup combining Bollinger Bands, STARC Bands, and Keltner Channels. STARC Bands are modified Keltner Channels whichdo a better job than the Bollinger Bands when it comes to showing where the top and bottom ranges of natural volatility exist. The pale white exterior cloud is your STARC Band fill. The white line is the STARC basis line. Next closest to the center we have the Bollinger Bands in yellow without a basis line (because BB basis lines aren't that great). Bollinger Bands will help to highlight when volatility breakouts are about to happen. Keltner Channels are based on an exponential moving average represented by the purple basis line in the center usually accompanied by a pair of channel lines above and below, in this case represented as a blue fill. Every component of this indicator can represent support and resistance on the go. You can use this as a trading system. The method in this case would be similar to the Bollinger Band trading method. The Bollinger Band method involves waiting for price to hit a support or resistance line where it then prints a reversal candle, and to trade in the direction of that reversal. This indicator can improve the Bollinger Band trading method by providing a better idea of when a trend has reached a reversal point through the use of superior maximum/minimum representations and superior basis lines. All this while configured in a visual representation that's light on noise. I'd suggest using this indicator in conjunction with an oscillator you feel comfortable with such as the MacD or RSI. Happy hunting. Shoutout to LazyBear. Note: I'm aware that this does not contain Donchian channels and have no regrets.
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ChronicMasturTrader tarafından
3
SDev Adjusted StochasticDescription : This Stochastic variant will auto-adjust stochastic period based on volatility measured by standard deviation. The idea behind it are in highly volatile market, %K period will be reduced to account for recent price range, while in low volatility market, %K period will be increased to account less of the recent price range. This idea is based on one of medium article written by Sofien Kaabar with slight modification on the adjusting logic implementation. Any ideas to further improve this indicator are welcome :) Disclaimer: I always felt Pinescript is a very fast to type language with excellent visualization capabilities, so I've been using it as code-testing platform prior to actual coding in other platform. Having said that, these study scripts was built only to test/visualize an idea to see its viability and if it can be used to optimize existing strategy. While some of it are useful and most are useless, none of it should be use as main decision maker.
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fareidzulkifli tarafından
2
Bollinger Bands %B Compare VixThis imple script converts your chosen chart price and outputs it as a percentage in relation to the Vix percentage. If price (Blue line) is higher than 0.60 and vix (Red Line) is lower than 0. 40 then there is lower volatility and this is good for buying. If price (Blue line) is lower than 0. 40 and vix (Red Line) is higher than 0.60 then there is higher volatility and this is good for selling, exiting and cash only. If you like risk you can enter as soon as the price and vix cross in either direction This is my first script, please give me a lot of critique, I won't cry hahaha :) For greater accuracy, you use these Vix products for their specific stocks/Indicies: Apple - VXAPL Google - VXGOG Amazon - CBOE:VXAZN IBM - CBOE:VXIBM Goldman Sachs - CBOE:VXGS NASDAQ 100 = CBOE:VXN SP100 - CBOE:VXO SP500 (3months) - VIX3M XLE(energy sector) - CBOE:VXXLE EWZ(brazil etf) - VXEWZ EEM( emerging markets etf) - CBOE:VXEEM EFA (MSCI ETF) - CBOE:VXEFA FXI (Cina ETF) - CBOE:VXFXI
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Siziba_Wallace tarafından
6
Equity Risk PremiumInspired by the article "2020's Best Performing Hedge Fund Warns Of 'Incredible Move' Around The Election" from ZeroHedge: This script explores the relationship and attempts to find dislocation between equity risk (VIX) and high-yield corporate debt risk (VXHYG, The Cboe VXHYG Index is an estimate of the expected 30-day volatility of the return on iShares' High Yield Grade ETF (HYG). VXHYG is derived by applying the VIX algorithm to options on HYG). The basic logic is (closing price of VIX / closing price of VXHYG) - 1. When equity risk is high and credit risk is low, the value of premium will be high, and vice-versa. “'Equity volatility is almost inescapably high. Is that a good form of insurance? The payoff profiles are nothing like they were back in January. Whereas in credit, we’re almost back to where we were in January. I find today the risk-reward profile of credit to be basically among the worst, relative to other things, I’ve seen in my career,' Weinstein said. 'A VIX at 20 used to be quite a feat. Here we are at 30, and the credit market hasn’t blinked.' As a result of the gaping divergence between the VIX and credit spreads - the two had moved in tandem for years, but in August the two series blew out as the VIX started rising as spreads kept falling - Weinstein has pounced on the trade, betting on vol compression." When equity risk premium is high, the market may be forming a local top. When equity risk premium is low, the market may be forming a local bottom. Make sure to select your current timeframe on the dropdown menu.
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MartinShkreIi tarafından
5
Volume DensitySince we don't have tick count per time interval, let's do it this way. Basically "bigger the move bigger the volume" rule applies in most times, making volume alone kinda useless. What is more interesting, is when there was a huge volume within a relatively small range, or vice versa, a huge move without equally increased volume. Without diving into details, bars with low volatility and serious volume are aprox. areas of possible future reversals/pullbacks, while volumeless high volatility moves should not cause any serious stops in price action. This is just a small easy script to highlight this process. "Mathematically speaking, it's just a reciprocal of quotient of awfewefaffwqg..... Nah, not this time. HOW IT WORKS: Volume Density = 1/(range/volume) We take range of a bar (high minus low), divide it by volume of the same bar, in order to neutralize this "bigger-bigger" relationship. Then we memorize this number, take 1 and divide 1 by this number, in order to inverse the result. So now, small bars with big volume will be rated higher than just by using classic volume histogram. I suppose it would be easy to use it along with classic volume histogram, and assess the differences between these 2 histograms. /// Probs some1 has already posted smth like this before idk, but if it aint the case, here it is, for you.
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gorx1 tarafından
1
CPR_ATR_PIVOTIntroduction What is so special about this variation of CPR is that it combines three indicators together. It has Central Pivot Range to understand market trend and for taking entry; Average True Range Stop line to identify the stop loss for any trade keeping in view volatility of the instrument; and Standard Pivot Points for profit targets. So overall it combines all essential ingredients for trading in a single indicator. While CPR and Pivot values will remain fixed, the ATR period and multiple can be changed. Central Pivot Range: is a useful intraday technical indicator which comprises 3 levels – a Central pivot point (pivot), Top central level (TC), and Bottom central level (BC). These levels are calculated as follows: TC = (Pivot – BC) + Pivot Pivot = (High + Low + Close)/3 BC = (High + Low)/2 The 3 levels are calculated using 3 variables, High, Low, and Close price. When you add CPR levels in a stock’s chart, TC is highest, the pivot is at the center and BC is the lowest level. However, depending on market conditions TC’s value may be lower than BC. The fundamental idea behind this indicator is that the particular day’s trading range captures everything about the market sentiment, and hence this range can be used to predict the price movement of the following days. This indicator was first introduced by Mark Fisher in this book “The Logical Trader”. Frank Ochoa added another dimension, central pivot point to this indicator. Practical Applications: CPR Breakout: Any high volume breakout above or below the TC and BC lines respectively indicates a high probability that the movement will continue. CPR Width The width of the CPR lines very accurately gives an idea of the expected price movement. If CPR width is narrow, that is the distance between TC and BC lines of CPR is very low, then it indicates a trending market. While if the distance between TC and BC lines is relatively higher it indicates sideways market. CPR as Support and Resistance CPR lines can also act as support and resistance. Market may takes support or resistance at the CPR and reverse. ATR Stop: I am adding another useful indicator known as ATR stop with CPR. Once market takes support and resistance at the CPR, trade can be taken with stoploss under/above (as the case may be) the ATR stop line. It would help in absorbing the intraday volatility in a stock or instrument. Pivot Points: Pivot points can be taken as target points where partial or full profit (depending upon market conditions and momentum) can be taken. I hope this indicator would help some traders in taking better trading decisions. Regards jjsingh_2020
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Bravetotrade tarafından
17
Realized Variables for Options ComparisonThese variables can be used in comparison with the implied volatility of options. Variables: Realized Volatility mathematical notation lowercase 'sigma' Realized Variance mathematical notation lowercase 'sigma' squared Realized Beta mathematical notation lowercase 'beta' Timeframes: Yearly = 250 or 365 Quarterly = 50 or 90 Monthly = 20 or 30 Important Note: Options Contract Expiry = barmerge.lookahead_on "Merge strategy for the requested data position. Requested barset is merged with current barset in the order of sorting bars by their opening time. This merge strategy can lead to undesirable effect of getting data from "future" on calculation on history. This is unacceptable in backtesting strategies, but can be useful in indicators." [ All other timeframes barmerge.lookahead is disabled.
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luminaryfi tarafından
Bollinger Bands Breakout StrategyBollinger Bands Breakout Strategy is the strategy version of Bollinger Bands Filter study version, which can be found under my scripts page. The strategy goes long when price closes above the upper band and goes short signal when price closes below the lower band. Bollinger Bands is a classic indicator that uses a simple moving average of 20 periods, along with plots of upper and lower bands that are 2 standard deviations away from the basis line. These bands help visualize price volatility and trend based on where the price is, in relation to the bands. The strategy doesn't take into account any other parameters such as Volume / RSI / Fundamentals etc, so user must use discretion based on confirmations from another indicator or based on fundamentals. The strategy results are based on purely long and short trades and doesn't take into account any user defined targets or stop losses. The strategy works great when the price closes above/below upper/lower bands with continuation on next bar. It is definitely useful to have this strategy or the Bollinger Bands filter along with other indicators to get early glimpse of breach/fail of bands on candle close during BB squeeze or based on volatility . This can be used on Heikin Ashi candles for spotting trends, but HA candles are not recommended for trade entries as they don't reflect true price of the asset. The strategy settings default is 55 SMA and 1 standard deviation for Bollinger Bands filter, but these can be changed from settings. It is definitely worth reading the 22 rules of Bollinger Bands written by John Bollinger if interested in trading Bollinger Bands successfully.
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TradeChartist tarafından
48
Trending True RangeDisplay a smoothed true range during trending markets, thus filtering any measurement occurring during ranging markets. Whether the market is trending or ranging is determined by the position of the efficiency ratio relative to its Wilder moving average. Settings Resolution : resolution of the indicator Length : period of the efficiency ratio and the Wilder moving averages used in the script Usage If you are not interested in volatility during ranging markets, this indicator might result useful to you. An interesting aspect is that it both measures volatility, but also determine whether the market is trending or ranging, with a zero value indicating a ranging market. Indicator against Atr, with both length = 14, our indicator might be easier to interpret. Note Thx to my twitter followers for their suggestions regarding this indicator. I apologize if it's a bit short, the original code was longer and included more options, but forcing a script to be lengthy is a really bad idea, so I stayed with something less flashy but certainly more practical, "classic Grover" some might say. Thx for reading!
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alexgrover tarafından
17
BTC and ETH Long strategy - version 1I will start with a small introduction about myself. I'm now trading cryto currencies manually for almost 2 years. I decided to start after watching a documentary on the TV showing people who made big money during the Bitcoin pump which happened at the end of 2017. The next day, I asked myself "Why should I not give it a try and learn how to trade". This was in February 2018 and the price of Bitcoin was around 11500USD. I didn't know how to trade. In fact, I didn't know the trading industry at all. So, my first step into trading was to open an account with a broken. Then I directly bought 200$ worst of BTC . At that time, I saw the graph and thought "This can only go back in the upward direction!" :) I didn't know anything about Stop loss, Take profit and Risk management. Today, almost 2 years after, I think that I know how to trade and can also confirm that I still hold this bag of 200$ of bitcoin from 2018 :) I did spend the 2 last years to learn technical analysis , risk management and leverage trading. Today (14/05/2020), I know what I'm doing and I'm happy to see that the 2 last years have been positive in terms of gains. Of course, I did not make crazy money with my saving but at least I made more than if I would have kept it in my bank account. Even if I like trading, I have a full time job which requires my full energy and lots of focus, so, the biggest problem I had is that I didn't have enough time to look at the charts. Also, I realized that sometimes, neither technical analysis , nor fundamentals worked with crypto currency (at least for short time trading). So, as I have a developer background I decided to try to have a look at algo trading. The goal for me was neither to make complex algos nor to beat the market but just to automate my trading with simple bot catching the big waves. I then started to take a look at TV pine script and played with it. I did my first LONG script in February 2020 to Long the BTC Market. It has some limitations but works well enough for me for the time being. Even if the real trades will bring me half of what the back testing shows, this will still be a lot more than what I was used to win during the last 2 years with my manual trading. So, here we are! Below you will find some details about my first LONG script. I'm happy to share it with you. Feel free to play with it, give your comments and bring improvements to it. But please note that it only works fine with the candle size and crypto pair that I have mentioned below. If you use other settings this algo might loose money! - Crypto pairs : XBTUSD and ETHXBT - Candle size: 2 Hours - Indicator used: Volatility , MACD (12, 26, 7), SMA (100), SMA (200), EMA (20) - Default StopLoss: -1.5% - Entry in position if: Volatility < 2% AND MACD moving up AND AME (20) moving up AND SMA (100) moving up AND SMA (200) moving up AND EMA (20) > SAM (100) AND SMA (100) > SMA (200) - Exit the postion if: Stoploss is reached OR EMA (20) crossUnder SMA (100) Here is a summary of the results for this script: XBTUSD : 01/01/2019 --> 14/05/2020 = +107% ETHXBT : 01/01/2019 --> 14/05/2020 = +39% ETHUSD : 01/01/2019 --> 14/05/2020 = +112% It is far away from being perfect. There are still plenty of things which can be done to improve it but I just wanted to share it :) . Enjoy playing with it....
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philipina tarafından
10
Moving Average Adaptive FilterThe Moving Avg Adaptive Filter (MAAF) was authored by Perry Kaufman in the Stocks and Commodities Magazine 03/1998 This is a volatility based indicator so when this indicator goes up, sell in the direction of how that stock is going. In other words go short when it is rising and the stock price is below the ema or go long when it is rising and the stock price is above the ema. Lower volatility means it is trading sideways or the current price action is about to reverse. Send me a message and let me know what other indicators you would like to see!
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cheatcountry tarafından
3
Trading Public School ST1This is a derivative of Trading Public School "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11). Black crosses on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release". Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator , while I have used a different method (linreg based) to plot the histogram. 100% Profit & loss 10% Only
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GF7987 tarafından
2
MS MONEY CCI SQUEEZEAbout I have used this indicator to find many lucrative opportunities. This indicator takes the moving average of CCI in custom, volatility-specific conditions. CCI measures "overbought" in the red-shaded region and "Oversold" in the green-shaded region. The shaded regions do not constitute a buy/sell signal alone, the MS CCI Squeeze is best used when market conditions agree and is best used when the user has fundamental reasoning for "reversal-like" situations to align. The MS CCI Squeeze will soon have a synergistic partner called "MS RSI Squeeze" indicator that will look similar to help better measure volatility and strength trend. About the Commodity Channel Index (CCI) The commodity channel index (CCI) is an oscillator originally introduced by Donald Lambert in 1980. Since its introduction, the indicator has grown in popularity and is now a very common tool for traders in identifying cyclical trends not only in commodities, but also equities (stocks) and currency trading. How to set an Alert If the user wants to set an alert , click on one of the support/ resistance lines (black-dashed) near the zero mark. Clicking on the horizontal line above or below the zero line will populate a yellow arrow which will allow you to set alerts when wanted. Please Read For Better Efficiency When using this indicator, keep an eye out for harmonic patterns, both bullish and bearish head and shoulders patterns for "HIDDEN" breakout opportunities. Please like, follow and share and I will continue building better indicators.
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follow_the_money tarafından
6