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Bollinger Bands (BB)

Dependent Variable Odd Generator Risk Detector In fact, I wrote this script for detect Bollinger and Linear Regression Bands squeeze. It's a side script. Logic works like this: Only the stagnant market probability is drawn from the Bollinger bandwidth by Dependent Variable Odd Generator and MFI index is calculated taking into account the volume. This value ranges from 0 to 100. To be sure, this value is averaged over a small period. If you break the average and exceed 50, the bollinger band is too narrow and the risk is too high. This means more commissions, more transactions, and vain work. Or, when in position, the warning is not ignored due to unnecessary signals. This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com Stay tuned , best regards.
Penunjuk Pine Script™
oleh Noldo
2
ANN MACD Future Forecast (SPY 1D) NOTE : Deep learning was conducted in a narrow sample set for testing purposes. So this script is Experimental . This system is based on the following article and is inspired by an external program: hackernoon.com None of the artificial neural networks in Tradingview work and are not based on completely correct logic. Unlike others in this system: IMPORTANT NOTE: If the tangent activation function is used, the input data must also have tangent values (compared to the previous values of 1 bar). Inputs were prepared according to this judgment. 1. The tangent function which is the activation function is written correctly. (The tangent function in the article: ActivationFunctionTanh (v) => (1 - exp (-2 * v)) / (1 + exp (-2 * v))) 2. Missing bias parts in the formulas were added. 3. The output function is taken from the next day (historical), so that the next bar can be predicted, which is the truth. 4.The forecast value of the next bar is subtracted from the current bar change and the market direction is determined. 5.When the future forecast and the current close are added together, the resulting data is called seed. The seed carries data both from the present and from yesterday and from the future. 6.And this seed was subjected to the MACD method. Thus, due to exponential averages, more importance will be given to recent developments and The acceleration situations will show us the direction. However, a short position should be taken for crossover and a long position for crossunder . Because the predicted values ​​work in reverse.Even though we use the same period (9,12,26) it is much faster! 7. There is no future code that can cause Repaint. However, the color after closing should be checked. The system is completely correct. However, a very narrow sample was selected. 100 data: Tangent diffs ; volume change, bollinger bands values changes (Upband , Midband , Lowband) and LazyBear's Squeeze Momentum Indicator (SQZMOM_LB) change and the next bar data (historical) price change were put into the deep learning test. IMPORTANT NOTE : The larger the sample set and the more effective dependent variables, the higher the hit rate of the deep learning test! EDIT : This code is open source under the MIT License. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com Stay tuned. Best regards!
Penunjuk Pine Script™
oleh Noldo
15
Function : Bollinger Bands and BBW Squeeze DetectorThis script shows Bollinger Bands function and want to detect Bollinger Band Width Squeeze with a successful, different perspective . Bollinger Bands : You can specify the Bollinger Bands periods as mutable variables . Bollinger Band Width Squeeze : First the Bollinger bands width was calculated.The width was then divided into levels using the money flow index. Thus, the bollinger takes into account the available volume averages when calculating the band width mfi (Money Flow Index). After this modelling, we can limit and color the lower limit and upper limits just as Relative Strength Index. We can even put warnings on oversold areas if desired. Let's not forget that we are working with width rather than price. By design, squeeze areas are defined directly above the Bollinger Bands with coloration. I think it is very practical and looks stylish. I tried and found it quite successful and wanted to share it with users. I came up with many ideas when I wrote this system, and I will share them very soon . I hope it will be useful to users and give new ideas. Best regards.
Penunjuk Pine Script™
oleh Noldo
1
DAX Shooter 5M StrategyThis is a simple strategy that applies very well for scaling indices to 5 minutes especially for the DAX. The algorithm provides for buying or selling when the market is very "pulled". The rules are as follows: you buy when: 1- The ADX indicator with the standard settings is greater than 32. 2- the RSI indicator set to 7 periods is crossing upwards the oversold line at 30 3- the candle minimum is lower than the lower band of bollinger bands set to 50 periods. is sold when: 1- ADX indicator with standard settings is greater than 32. 2 - the RSI indicator set to 7 periods is crossing downwards the overbought line at 70 3- the maximum of the candle is higher than the upper band of the bollinger bands set to 50 periods. Money management is at the discretion of the trader but usually it is better to set a fixed stop loss and a take profit on reaching the opposite bollinger band. Enjoy trading at all!
Strategi Pine Script™
oleh th3web
3
DAKELAX-XRPUSDT Bollinger Band Strategy for TradebotlerDAKELAX-XRPUSDT is a Tradebotler strategy designed to run on XRPUSDT for binance, it's a simple reverse to mean strategy and when backtested on may-aug 2019 on H1 timeframe it performs pretty well in backtest as well as running live. In order to get started install the Tradebotler extension and connect the strategy with Binance or other crypto exchanges of your choice such as Kraken, Bitstamp, Bitmex, Bittrex, Polyneux etc, etc.
Strategi Pine Script™
oleh dakelax