Midnight Open shows opening price of the first candle after New York Midnight. According to ICT, this is what IBPDA - Inter Bank Price Delivery Algorithm - sees as a true market opening and we should aim for shorts above it (sell for premium) and longs below it (buy at discount).
This indicator aggregates the knowledges of the first level of the Trading Chaos approach by Bill Williams. It uses the Market Facilitation Index (MFI) in conjunction with the type of bar(candle) to generate strong long and strong short signals. General information Bars numeration All bars or candles could be numbered with the following algorithm. If we...
Timing when day trading can be everything In Stock markets typically more volatility (or price activity) occurs at market opening and closings When it comes to Forex (foreign exchange market), the world’s most traded market, unlike other financial markets, there is no centralized marketplace, currencies trade over the counter in whatever market is open...
Introduction Heyo, here are some adaptive VWAP Standard Deviation Bands with nice colors. I used Ehlers dominant cycle theories and ZLSMA smoothing to create this indicator. You can choose between different algorithms to determine the dominant cycle and this will be used as reset period. Everytime bar_index can be divided through the dominant cycle length and the...
Level: 3 Background Kaufman’s Adaptive Moving Average ( KAMA ) was developed by American quantitative financial theorist Perry J. Kaufman in 1998. Function This is an improved KAMA trading system with my customized algorithm.You can use KAMA like any other trend-following indicator, such as a moving average. You can look for price crosses, directional changes...
The Swing Oscillator is an indicator that can help you catch small price movements, called swings. Swings are minor trends that occur when price moves between the highs and lows of a trend or range. Because of the short-term nature of swings, a new movement should be identified as soon as possible. The indicator is based on our original formula, which averages the...
The Stochastic Vix or Stochastic VixFix (SVIX), just like the Williams VixFix, is a realized volatility indicator, and can help in finding market bottoms as well as tops without requiring bollinger bands or any other construct, as the SVIX is bounded between 0-100 which allows for an objective thresholding regardless of the past. Mathematically, SVIX is the...
OHLC candles plot of the Williams VixFix indicator, which allows to draw trend lines. Williams VixFix is a realized volatility indicator developed by Larry Williams, and can help in finding market bottoms. Indeed, as Williams describe in his paper, markets tend to find the lowest prices during times of highest volatility, which usually accompany times of highest...
Williams VixFix is a realized volatility indicator developed by Larry Williams, and can help in finding market bottoms. Indeed, as Williams describe in his paper, markets tend to find the lowest prices during times of highest volatility, which usually accompany times of highest fear. The VixFix is calculated as how much the current low price statistically deviates...
This indicator is for educational purposes to lay the groundwork for future closed/open source indicators. Some of thee future indicators will employ parameter estimation methods described below, others will require complex solvers such as the Nelder-Mead algorithm on log likelihood estimations to derive optimal parameter values for omega, gamma, alpha, and beta...
Level 3 Background Some friends in the TradingView community say that my technical indicators are too complicated to write. Is there anything that is easy to use? This time I will publish a simple indicator to use. Function This indicator uses a custom stochastic indicator as its initial value. Calculate the difference between the short-term and long-term EMA...
This is a vwap & vwma hybrid with upper & lower deviation bands that provide excellent price channels and reversal areas. It can be used on lower & higher timeframes, just increase the deviation % for higher timeframes. Try out the 1 minute timeframe with .5% deviation for great scalping levels. Here is the calculation used for the main line. (VWMA100 + VWMA500...
This indicator is the output of our prediction algorithm. You can use these lines to see where the price may head for the day. These lines are great support and resistance in the market and you can play off them accordingly.
What is Nadaraya–Watson Regression? Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a...
Lyapunov Hodrick-Prescott Oscillator w/ DSL is a Hodrick-Prescott Channel Filter that is modified using the Lyapunov stability algorithm to turn the filter into an oscillator. Signals are created using Discontinued Signal Lines. What is the Lyapunov Stability? As soon as scientists realized that the evolution of physical systems can be described in terms of...
Filtered, N-Order Power-of-Cosine, Sinc FIR Filter is a Discrete-Time, FIR Digital Filter that uses Power-of-Cosine Family of FIR filters. This is an N-order algorithm that allows up to 50 values for alpha, orders, of depth. This one differs from previous Power-of-Cosine filters I've published in that it this uses Windowed-Sinc filtering. I've also included a...
Variety Low-Pass FIR Filter, Impulse Response Explorer is a simple impulse response explorer of 16 of the most popular FIR digital filtering windowing techniques. Y-values are the values of the coefficients produced by the selected algorithms; X-values are the index of sample. This indicator also allows you to turn on Sinc Windowing for all window types except...
Fractal-Dimension-Index-Adaptive Trend Cipher Candles is a candle coloring indicator that shows both trend and trend exhaustion using Fractal Dimension Index Adaptivity. To do this, we first calculate the dynamic period outputs from the FDI algorithm and then we injection those period inputs into a correlation function that correlates price input price to the...