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布林帶(BB)

Bundle of various indicators, All-in-oneThis scripts compiles many indicators into one. It comes from many sources and i added all sources i used. If i forgot one, don't hesitate to message me. This is useful if you need to setup your chart layout fast. The menu makes it easy to configure it. You can configure and display: - Various types of moving averages: RMA, SMA , EMA , WMA , VWMA , SMMA , HullMA, LSMA , DEMA , TEMA - Stochastic RSI crosses from multi-timeframes directly on candle's close (1h, 4h, D, W) - Bollinger bands with primary and secondary deviation - SAR - Color background using difference between Stochastic RSI K and D - Support and resistance - Open high low close from higher timeframes (D, W, M) - Auto fibonacci levels (still a work in progress, i will add logarithmic fibonacci levels too later) - "Alt season" for crypto users: if BTC dominance cross his SMA , display a pictogram on every chart Stil working on: - Auto fibonacci levels: i will add logarithmic fibonacci levels - Stochastic crosses - Alt season: use others types of moving averages If you have any suggestions / improvements, feel free to message me or write it in the comments below.
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由flo5k5提供
2
R100 Volatility Combo Bands v1 (*v*)The Volatility Combo Bands are made from 4 separate volatility bands- two Bollinger Bands (10 and 20 period) and two Price Headley Acceleration Bands (10 and 20 period). The Volatility Combo Bands plot the innermost upper and lower points from these bands and then plots a mid-line. By default, only the standard 20 period Bollinger Bands and Combo Bands with mid-line are displayed, but can be configured however you want. Try it out- see squeezes earlier, ride the bands earlier in trending markets, trade pullbacks to the Combo Bands and mid-line, trade the range of the band or use them to help identify potential support and resistance levels. Hopefully they can add another dimension to identifying volatility contraction patterns or whatever you currently use these things for! I hope you get some value out of it. Only conditions of use are that if you improve it, let me know and if you publish something that uses it, don't hide the code! Enjoy! Code for the Price Headley Acceleration Bands pinched and modified from LazyBear - thankyou.
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由Rooster100提供
2
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.
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由Noldo提供
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!
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由Noldo提供
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.
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由Noldo提供
1