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- Published:
- 2024.12.03 16:34
- Updated:
- 2025.01.29 14:44
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Perfect for traders looking for enhanced technical analysis tools. Download and test it today!
Here is the pine script code:
study(shorttitle="FBB", title="Fibonacci Bollinger Bands", overlay=true) length = input(200, minval=1) src = input(hlc3, title="Source") mult = input(3.0, minval=0.001, maxval=50) basis = vwma(src, length) dev = mult * stdev(src, length) upper_1= basis + (0.236*dev) upper_2= basis + (0.382*dev) upper_3= basis + (0.5*dev) upper_4= basis + (0.618*dev) upper_5= basis + (0.764*dev) upper_6= basis + (1*dev) lower_1= basis - (0.236*dev) lower_2= basis - (0.382*dev) lower_3= basis - (0.5*dev) lower_4= basis - (0.618*dev) lower_5= basis - (0.764*dev) lower_6= basis - (1*dev) plot(basis, color=fuchsia, linewidth=2) p1 = plot(upper_1, color=white, linewidth=1, title="0.236") p2 = plot(upper_2, color=white, linewidth=1, title="0.382") p3 = plot(upper_3, color=white, linewidth=1, title="0.5") p4 = plot(upper_4, color=white, linewidth=1, title="0.618") p5 = plot(upper_5, color=white, linewidth=1, title="0.764") p6 = plot(upper_6, color=red, linewidth=2, title="1") p13 = plot(lower_1, color=white, linewidth=1, title="0.236") p14 = plot(lower_2, color=white, linewidth=1, title="0.382") p15 = plot(lower_3, color=white, linewidth=1, title="0.5") p16 = plot(lower_4, color=white, linewidth=1, title="0.618") p17 = plot(lower_5, color=white, linewidth=1, title="0.764") p18 = plot(lower_6, color=green, linewidth=2, title="1")

Optimal closing tool with Bollinger Bands and RSI.

The script MinMargins.mq5 is designed to help traders quickly calculate and document the minimum amount of money required to open a position with the smallest lot size for all symbols available in the Market Watch. This data is saved to a CSV file for easy review and analysis.

High-performmance functions for dealing with time.

MarketPredictor for MetaTrader 5 The MarketPredictor is an innovative Expert Advisor (EA) for MetaTrader 5 that leverages mathematical models such as sine functions, Fast Fourier Transform (FFT), sigmoid functions, and Monte Carlo simulations to analyze and predict market movements. This project is designed for developers, math enthusiasts, and traders interested in combining technological and financial innovations. Feel free to suggest, discuss, and implement code ideas directly in this thread. Whether it’s new features, improvement suggestions, or strategies – every contribution is welcome to further develop and optimize the MarketPredictor. You’re also welcome to add me to clarify questions privately, collaborate on the GitHub project, or send me your feedback directly. Let’s cook up something amazing together and take this project to the next level!