🌏 Trend Forecasting | ENG 🌏 This plug-in acts as a statistical filter, adding new information to your chart that will allow you to quickly verify the direction of a trend and the probability with which the price will be above or below the average in the future, helping you to uncover probable market inefficiencies. 🧠 Model calculation The model calculates the...
The "Nasan Moving Average with Forecast" indicator is a technical analysis forecasting tool that combines the principles of historical data analysis and random walk theory. It calculates a customized moving average (Nasan Moving Average) by integrating price data and statistical measures and projects future price points by generating forecast values within...
The Liquidity Dependent Price Stability (LDPS) indicator is designed to measure liquidity levels on an equity and, from those measurements, provide Bullish or Bearish outlooks for future price action. These outlooks are given via reporting the equity's Liquidity Condition and Liquidity Flow. Interpretation Liquidity Condition (LC) and Liquidity Flow (LF)...
GENERAL OVERVIEW Price Scenarios - The Quant Science is a quantitative statistical indicator that provides a forecast probability about future prices moving using the mathematical-statistical formula of statistical probability and expected value. HOW TO USE The indicator displays arrow-shaped signals that represent the probable future price movement...
🔮 Price Action Fractal Forecasts - Unleash the Power of Historical Patterns! 🌌✨ Dive into the future with AlgoAlpha's Price Action Fractal Forecasts ! This innovative indicator utilizes the mesmerizing complexity of fractals to predict future price movements, offering traders a unique edge in the market. By analyzing historical price action and identifying...
The MACD Based Price Forecasting tool is an innovative price forecasting method based on signals generated by the MACD indicator. The forecast includes an area which can help traders determine the area where price can develop after a MACD signal. 🔶 USAGE The forecast returned by the tool allows users to obtain a general picture of how price tends to...
The GARCH (Generalized Autoregressive Conditional Heteroskedasticity) model is a statistical model used to forecast the volatility of a financial asset. This model takes into account the fluctuations in volatility over time, recognizing that volatility can vary in a heteroskedastic (i.e., non-constant variance) manner and can be influenced by past events. The...
Description: The "∂ Limited Growth Stock-to-Flow (LG-S2F)" indicator, developed by AlgoAlpha, is a technical analysis tool designed to analyze the price of Bitcoin (BTC) based on the Stock-to-Flow model. The indicator calculates the expected price range of BTC by incorporating variables such as BTC supply, block height, and model parameters. It also includes error...
We provide an implementation of the Gaussian Process Regression (GPR), a popular machine-learning method capable of estimating underlying trends in prices as well as forecasting them. While this implementation is adapted to real-time usage, do remember that forecasting trends in the market is challenging, do not use this tool as a standalone for your trading...
█ Overview The Pattern Forecast indicator is a technical analysis tool that scans historical price data to identify common chart patterns and then analyzes the price movements that followed these patterns. It takes this information and projects it into the future to provide traders with potential price actions that may occur if the same pattern is identified...
█ Overview The Price Action Color Forecast Indicator , is an innovative trading tool that uses the power of historical price action and candlestick patterns to predict potential future market movements. By analyzing the colors of the candlesticks and identifying specific price action events, this indicator provides traders with valuable insights into future...
The Volume Forecasting indicator provides a forecast of volume by capturing and extrapolating periodic fluctuations. Historical forecasts are also provided to compare the method against volume at time t . This script will not work on tickers that do not have volume data. 🔶 SETTINGS Median Memory: Number of days used to compute the median and first/third...
Hi Traders.. This is one of Gann's trading method, called Price & Time Squared. When price & time meets, price will reverse." as you see, those lines (past & future) represent the forecast of 'potential' swing (swing high/low or turning up/ down) here are some examples: Weekly Daily H1 M30 M15 M5 How to trade (very...
This indicator will create lines on the chart based on W.D. Gann's Square of 144. All the inputs will be detailed below Why create this indicator? I didn't find it on Tradingview (at least with open source). But the main reason is to study the strategy and be able to draw it fast. Manually drawing the square is not hard, but moving all together to the right...
This indicator uses a simple time series forecasting method derived from the similarity between recent prices and similar/dissimilar historical prices. We named this method "ECHO". This method originally assumes that future prices can be estimated from a historical series of observations that are most similar to the most recent price variations. This similarity...
Returns pivot points high/low alongside the percentage change between one pivot and the previous one (Δ%) and the distance between the same type of pivots in bars (Δt). The trailing mean for each of these metrics is returned on a dashboard on the chart. The indicator also returns an estimate of the future time position of the pivot points. This indicator by its...
Hello , this script is the ANN Forecast version of my "Dependent Variable Odd Generator " script. I went to simplify a bit because the deep learning calculations are too much for this command. The latest instruments included: WTI : West Texas Intermediate (WTICOUSD , USOIL , CL1! ) Average error : 0.007593 BRENT : Brent Crude Oil ( BCOUSD , UKOIL , BB1! )...
In this script, I tried to integrate ANN Forecast Algorithm on Stochastic Oscillator. It took me quite a while, but i guess it worth. After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate Forecast Stoch system. The system is trained with ANN values of ANN MACD 25 in 1. The Forecast algorithm is...