Script Details - This script plots Inside Bar for given day in selected time-frame (applicable only for Timeframes < Day) - Basis plotted inside bar, relevant targets are marked on the chart - Targets can be customised from script settings. Example, if range of mother candle is 10 points, then T1 is 10 * x above/below mother candle and T2 is 10 * y above/below...
Hello good people, Several have asked for an option buying "system" similar to the CPR selling system I previously coded. This is a work in progress, but thought I would share in order to get some feedback. I have been working through different setups and believe I have landed on a decent system, using the AlphaTrend indicator created byKivancOzbilgic. I've...
Plots Williams Percent Range over bought/oversold indicator as a small overlay in top right corner. De-clutter chart when all you're interested in is the real-time W%R to 'give permission' to enter a trade. i.e. to remove the Williams %R lower pane from the above chart completely. ~~User Inputs~~ ~W%R length ~Number of bars to show (default is last 6 bars) ~Plot...
This script will continuously draw a boxplot to represent quartiles associated with data points in the current rolling window. Description : A quartile is a statistical term that refers to the division of a dataset based on percentiles. Q1 : Quartile 1 - 25th percentile Q2 : Quartile 2 - 50th percentile, as known as the median Q3 : Quartile 3 - 75th...
Technical indicators are not limited. Hence, here is another indicator with the combination of OBV, RSI, and MACD along with support, and resistance that follows the price while honoring the moving average of 200, 90 & 50. The default lookback period of this indicator is 21 though it is changeable as per the user's desire. The highest high and lowest low for the...
Polynomial Regression Bands w/ Extrapolation of Price is a moving average built on Polynomial Regression. This indicator paints both a non-repainting moving average and also a projection forecast based on the Polynomial Regression. I've included 33 source types and 38 moving average types to smooth the price input before it's run through the Polynomial...
This is opening source code version: Fibonacci + Support/Resistant + Trendline (One of Advanced Price action Analysis). How it works: It find entry Long/Short by combining: Fibonacci + Support/Resistant + Trendline 1. Find Impulse wave: To findind Impulse wave, It uses Pivot High/Low to find Impulse wave. In case find entry Long, If having Pivot High higher...
This is a composite indicator, a collection of multiple indicators. Includes: 1. in the simple RSI oversold and overbought area, I rewritten the RSI index of pine, which is more in line with the change of the relative intensity of rise and fall. 2. the red and green column line to the top is rewritten by William w% index. The red and green column indicates the top...
This is a composite indicator, a collection of multiple indicators It includes the following: 1. the gray background has a huge trading volume , 2. the market cost deviates, and the relationship between the closing price of the black line, the red line and the blue line and the short-term, medium-term and long-term average. Compare the difference after mutual...
I wasn't going to post this because I don't like how this calculates by puling in the Open price, but I'm posting it anyway. This does work in it's current form but there is a. better way to do this. I'll revisit this in the future. Anyway... The k-Nearest Neighbor algorithm (k-NN) searches for k past patterns (neighbors) that are most similar to the current...
Have all your trade data in one small overview. - TP amount in USD and % - RR of the trade - Cost if stoploss is hit - Total profit in USD - Account growth in percentage - Sets automatic alerts on SL, entry en TP's if enabled Enjoy!
Hodrick-Prescott Extrapolation of Price is a Hodrick-Prescott filter used to extrapolate price. The distinctive feature of the Hodrick-Prescott filter is that it does not delay. It is calculated by minimizing the objective function. F = Sum((y(i) - x(i))^2,i=0..n-1) + lambda*Sum((y(i+1)+y(i-1)-2*y(i))^2,i=1..n-2) where x() - prices, y() - filter values....
Create your own stock index with up to 20 tickers! The weight of the index can be selected from market capitalization and equal weight. You can easily see how your favorite stocks are performing. In addition, moving average lines (10SMA, 20SMA, 50SMA, 100SMA, 150SMA, 200SMA) can also be displayed as an...
Fisher Oscillator(FO). The Fisher Oscillator is inspired by John Ehlers "Fisher Transform". The oscillator highlights when prices have moved to an extreme, based on recent prices. The FO may help in spotting turning points, in the short-medium trends of an asset, also, it helps in recognizing the asset's trends themselves, giving a picture of mkt conditions...
With this little script, I have attempted to incorporate fundamental data (in this case, 10-year bond yields) into technical analysis . When pairing two currencies, the one with a higher bond interest rate usually appreciates when the interest rate differential widens, or, to use a simple example: in a currency pair A vs. B, with A showing a higher bond yield than...
This indicator is a histogram produced with Pinescript's boxes and is helpful for spotting support, resistance, and key levels. The indicator shows the volume executed at each source price over a customizable time period. The "Key Level" in this indicator is the price at which the most volume was executed, and the "Major Levels" are levels where volume was over a...
This is a modification of the TradingView RSI with some of my favourite RSI features added. This includes Divergence indicators. EMA with colour change on cross, Support and resistance lines and reverse RSI. A reverse calc has also been added. This will allow you to input 3 different RSI values for a price prediction. This is good to use with the support and...
What is the Modified Covariance AR Estimator? The Modified Covariance AR Estimator uses the modified covariance method to fit an autoregressive (AR) model to the input data. This method minimizes the forward and backward prediction errors in the least squares sense. The input is a frame of consecutive time samples, which is assumed to be the output of an AR...