Directional Indicator - Trading Strategy v1.1Trading strategy using:
ADX: D+ and D-
RSI
Historical Volatility
Stop-loss
This Strategy works best on a 12h or 1D time frame, for pairs like BTC-USD or XRP-USD
Tarihi Volatilite
ARSUSD Currency ConverterCandles drawing with currency conversion of ARS to USD. Real Time price of USD used in the calculation is obtained from the USDARS ticker.
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.
Statistical Trend Length Analysis (Quant indicator)This is the only Quantitative type indicator I can find on TradingView (which means it uses automated back testing to determine probability in a mathematical way), although there could be some I just haven't seen them.
This indicator back-tests ALL of the data, calculates the length of all past trends, and does a statistical analysis of trend changes at different levels. The more recent data is more accurate as it learns as the indicator goes along.
These levels can be used in regression to the mean trading, as it gives you an idea of the statistical likeliness of a trend change or pullback occurring in each zone. An average trend length is a very good point to enter when trading a pullback within a trend, although without a complex analysis like this it would be impossible to determine where that is.
PM me for access, and more details on strategies that can be implemented using this indicator.
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.
XeL Volatility BANDSDISCLAIMER:
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 following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is following TradingView's regulations. Use of indicator and their code are published by Invitation Only. All access granted over it, their use, copy or re-use should mention authorship and origin.
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...?
Work derived by previous own research in favour of this main fields of study:
BUY TO SELL PRESSURES: Given current limitations and rise of prices for Market-Data fees, trying to count "real" market moves tick-by-tick is a real pain. I was very focused to measure this by estimation of Buyers against Sellers (or viceversa) just by playing around with the Range given of time-compression (OHLCv) data and trying to use accepted statistical methods like maximum-minimum count.
VOLATILITY ESTIMATION: From the previous point, my concern was trying to found an Historical Volatiilty Estimator that can individually count Bullish moves (Minimum from previous close to current price) and Bearish ones (Maximum from previous close to current price) and estimate them by filtering deviations selectable from Square of Returns or Absolute Returns with an Elastic Volatility-Weighted Average Method. (First Order Impulse Response Filter against PriceVolume cumulatives over time.)
BANDS: Two zones are mainly shadowed from derivations of Deviations: A BULL area and a BEAR area. This areas usually define cyclical regimes of asset price.
NOTES:
This version DO NOT INCLUDE ALERTS.
This version DO NOT INCLUDE STRATEGY: Feedback to write are welcome
CHEERS!
@XeL_Arjona 2018.
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."
EFI-BitMEXTimeZone//EFI - SMART Trading System
//This is an invite and private SMART Trading System for EFI 0.00% (Edukasi Finansial Internasional) group members.
//Risk Disclosure :
//Futures, Forex, Stock, Crypto and Derivative trading contains substantial risk and is not for every investor.
//An investor could potentially lose all or more than the initial investment.
//We are not responsible for any financial losses you may incur by using this script!
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.
1min_&15min_Crypto_indicatorDear users,
This indicator used Fibonacci, MACD, RSI and Volume.
You just need to consider the "B" signal for Buy and "S" for sell your position...
Color candles stick are just here to confirm the position and use different setting less risky than B and S signals.
If you want to use the maximal potential of this indicator to buy and sell correctly I suggest you to buy and sell with B and S signal and to cut your position to the next B and S signal. You can also choose to cut your position to the next candle stick color... for less risky.
The backtesting of this indicator is 73.6% of good trades on 15 min candlestick and 81,6% on 1 minute candlesticks on BTCUSD. Same indicator is available for equities. (Min&15min_Equity_indactor_V14_Moriceau)
If you have any comment, let me know.
Volatility IndexWhat is volatility and why does it matter?
Volatility is a measure of how much the price of an asset varies over time.
Volatility refers to the amount of uncertainity or risk about the size of changes in a finacial asset's value. A higher volatility means that the price of the asset can change dramatically over a short time period in either direction.
A lower volatility means that a financial asset's value does not fluctuate dramatically, but changes in value at a steady pace over a period of time.
How does the volatility gets calculated?
It uses the standard deviation of the closing price for the preceding selected period (i.e. 30, 60...) and plots the value in relative terms (%).
Gunbot PingPongSimulation of Gunbot PingPong strategy useful for fine tuning settings and backtesting. First load the instrument and chart period you are wanting to trade and note the general low and high prices. You will need these for "dialing in" your PingPong Buy and Sell prices once you load the indicator. Defaults are set for current USDT-BTC prices.
In Pine Editor -> Open "Gunbot PingPong" -> Add To Chart -> On Indicator -> Format -> Input your desired settings to test.
Red = PingPong Sell Price
Green = PingPong Buy Price
NOTICE: By requesting access to this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!