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Linearregressioncurve

Deep Learning AI's Ascending Channel - A Neuralnet AnalysisDeep Learning AI's Ascending Channel - A Neuralnet Analysis Target: $37k. Chartpattern: Parallel Channels (Ascending - high probability bearish breakdown) Technical indicators support: Relative Strength Index (RSI - bearish divergences) AI painted the chart using TradingView's native charting tools. Analysis: we used Google ML "Firebase" Toolkit, OXYBITS Space Invariant Artificial Neural Networks. 100% bots, zero humans, DYO before investment.
BITSTAMP:BTCUSDShort
by Elysian_Mind
3
Raff Regression Channel (RRC) The Raff Regression Channel (RRC) The Raff Regression Channel , developed by Gilbert Raff, is based on a linear regression, which is the least-squares line-of-best-fit for a price series, with evenly spaced trend lines above and below . The width of the channel is set by determining the high or low that is the furthest from the linear regression. Because the channel distance is based off the largest pullback or highest peak within a trend, for effectively drawing and using a Raff Regression Channel it is recommend/required that a Raff Regression Channel is applied to “mature” trends. Once The Raff Regression Channel is drawn, covering an existing trend, EXTENSION LINES are drawn to identify support, resistance, reversal points, mean reversion Effectively drawing and using a Raff Regression Channel The trend is up as long as prices rise within this channel. An uptrend may be reversing (not always, but likely) when price breaks below the channel extension . The trend is down as long as prices decline within the channel. Similarly, a downtrend may be reversing (not always, but likely) when price breaks above the channel extension . Moves outside the channel extensions can be indication of a reversal or can denote overbought or oversold conditions breakout example reversal example █  LINK to AUTOMATED INDICATOR VERSION of RAFF REGRESSION CHANNEL █  OTHER CHANNEL CONSEPTS Linear Regression Channels, Fibonacci Channels, Andrews’ Pitchfork,
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FX_IDC:XAUUSDEducation
by dgtrd
52
What Linear Regression Channels are? Introduction to LinReg IndiLinear Regression Channels A brief info of what Linear Regression Channels are and introduction to Linear Regression Channel / Curve / Slope Indicator Study and one example where Linear Regression Channels are involved with other indicators Pick a Pivot Brief Info Linear Regression Channels are useful measure for technical and quantitative analysis in financial markets that help identifying trends and trend direction. The use of standard deviation gives traders ideas as to when prices are becoming overbought or oversold relative to the long term trend The basis of a linear regression channel    Linear Regression Line – is a line drawn according to the least-squares statistical technique which produces a best-fit line that cuts through the middle of price action, a line that best fits all the data points of interest. The resulting fitted model can be used to summarize the data, to predict unobserved values from the same system. Linear Regression Line then present basis for the channel calculations The linear regression channel    2. Upper Channel Line – A line that runs parallel to the Linear Regression Line and is usually one to two standard deviations above the Linear Regression Line.    3. Lower Channel Line – This line runs parallel to the Linear Regression Line and is usually one to two standard deviations below the Linear Regression Line. Unlike Fibonacci Channels and Andrew’s Pitchfork, Linear Regression Channels are calculated using statistical methods, both for the regression line (as expressed above) and deviation channels. Upper and Lower channel lines are presenting the idea of bell curve method, also known as a normal distribution and are calculated using standard deviation function. A standard deviation include 68% of the data points, two standard deviations include approximately 95% of the data points and any data point that appears outside two standard deviations is very rare. It is often assumed that the data points will move back toward the average, or regress and channels would allow us to see when a security is overbought or oversold and ready to revert to the mean please note : Over time, the price will move up and down, and the linear regression channel will experience changes as old prices fall off and new prices appear █  Linear Regression Study Features   Linear Regression Channel     - Linear regression line as basis     - Customizable multiple channels based on Standard Deviation     - ALERTs for the channel levels   Linear Regression Curve     - Linear regression curve as basis     - Optional : Bands based on Standard Deviation or Volatility (ATR). Bands are applied with fixed levels 1, 2 and 3 times StdDev or ATR away from the curve   Linear Regression Slope     - Optional : Up/Down slope arrows for a used defined period █  Volume / Volatility Add-Ons   High Volatile Bar Indication   Volume Spike Bar Indication   Volume Weighted Colored Bars
Education
by dgtrd
9