This indicator displays RSI, a normalized Bollinger Band &b (Usual 0 -1 range of BB normalized to the OBOS range of RSI), and a normalized smoothed Stochastic (again, normalized to the OBOS of RSI) simultaneously with a single indicator.
It also displays buy and sell signals based upon the above.
The stochastic can be turned on and off, and the sell signal...
This study is an experiment designed to identify market phases using changes in an approximate Hurst Exponent.
The exponent in this script is approximated using a simplified Rescaled Range method.
First, deviations are calculated for the specified period, then the specified period divided by 2, 4, 8, and 16.
Next, sums are taken of the deviations of each period,...
This study is an experimental regression curve built around fractal and ATR calculations.
First, Williams Fractals are calculated, and used as anchoring points.
Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period.
The...
This is nothing other than an update and slight modification to the original Godmode Oscillator published by xSilas
The update done by sco77m4r7in and myself.
Change Log:
Repaired the multi exchange option for BTC
Added additional 'Caution!' dots with color coding.
white = Early Caution signal
yellow = standard 'Caution!' signal
red = Extreme Caution...
Indicator for displaying both RSI and a normalized Bollinger Bands %b (Usual 0 - 1 range of BB normalized to the 30 - 70 OB/OS range of RSI) simultaneously.
Settable periods for RSI and BB, and settable standard deviation for BB.
When both Bollinger Bands %b and RSI are OB/OS then the column will turn blue and a buy/sell arrow will appear in the indicator...
This is THE tick tick boom method from the GOLD MINDS group!
When we enter a trade the line changes color.
If your charts are not in UTC time then you can adjust the UTC offset time. If your charts are in UTC-9 then set this to 9, if you are in UTC+1 set this to -1, if your charts are un UTC then set this to 0.
I noticed daily pivots, support, and resistance...
This is an experimental study designed using data from Bollinger Bands to determine price squeeze ranges and active levels of support and resistance.
First, a set of Bollinger Bands using a Coefficient of Variation weighted moving average as the basis is calculated.
Then, the relative percentage of current bandwidth to maximum bandwidth over the specified sampling...
This is an experimental study designed to identify potential areas of support and resistance using a hybrid between Camarilla and Fibonacci pivot calculations.
The levels are calculated by taking 110% of the previous interval's range multiplied by 8.33%, 16.67%, 25%, 50%, 61.8%, 78.6%, 100%, 127.2%, 141.4%, and 161.8%, then adding them above and below the interval...
All indicators in one!
All indicators in one! Hull MA (2 colors) + Bollinger Bands + 6 EMA + 50 SMA + 200 SMA + Parabolic SAR + SUPER TREND (2 colors) + Doji signals (yellow) + RSI Over Bought / Over Sold indicator and Trend Trader Strategy..
This is a simple indicator that compares candle body length with candle wicks. The white line is a 3-period ema of the indicator. The higher the indicator value, the more "certain" price action is.
This is an experimental study designed to analyze trend intensity using two Donchian Channels.
The DCTI curve is calculated by comparing the differences between Donchian highs and lows over a major an minor period, and expressing them as a positive and negative percentage.
The curve is then smoothed with an exponential moving average to provide a signal...
This is an experimental study designed to identify trend activity, and potential support and resistance areas.
First, Coefficient of Variation Weighted Moving Average (COVWMA) is calculated, and its intersection points are used as anchor values.
Next, a fast period COVWMA calculated for a signal line.
For the cloud, its mid level is calculated first by taking the...
This is a simple gauge of volatility using the Coefficient of Variation.
COV is calculated by dividing standard deviation of price by the expected (average) price.
Custom color scheme indicates increases and decreases in volatility, which is indicated when the COV forms new half period highs and lows.
![BTCUSD: Hurst Exponent Market Phases [DW]](https://s3.tradingview.com/u/UR16Q7VB_mid.png "Hurst Exponent Market Phases [DW]")
![BTCUSD: Fractal Regression Bands [DW]](https://s3.tradingview.com/c/cL5qHRnJ_mid.png "Fractal Regression Bands [DW]")
![BTCUSD: Squeeze Box [DW]](https://s3.tradingview.com/b/Bin98rqQ_mid.png "Squeeze Box [DW]")
![BTCUSD: Hybrid Pivot Zones [DW]](https://s3.tradingview.com/e/EWc2e7yR_mid.png "Hybrid Pivot Zones [DW]")
![BTCUSD: Donchian Channel Trend Intensity [DW]](https://s3.tradingview.com/l/lJaM4cmJ_mid.png "Donchian Channel Trend Intensity [DW]")
![BTCUSD: Stratus [DW]](https://s3.tradingview.com/0/0dBtJvhu_mid.png "Stratus [DW]")
![XRPUSD: Coefficient of Variation [DW]](https://s3.tradingview.com/z/ZEFjwcKV_mid.png "Coefficient of Variation [DW]")