OPEN-SOURCE SCRIPT

Fuzzy Fib Counts

已更新
A new approach to trend/time analysis. This indicator counts up/down price moves using fuzzy logic in two time frames. Counts reaching Fibonacci numbers are often significant to trend momentum: either reversal or stronger continuation. See the script’s beginning comments for details.

I’m amazed with DeMark and all his indicators. But after coding a TD_Sequential script, I began to wonder if there wasn’t an easier way to identify high probability entry/exit points without all the intricate logic. It took awhile, but a different paradigm eventually came into focus: Fuzzy Fib Counts (FFC).

FFC is like “analog” compared to TD_Sequential’s “digital” approach. And FFC is much simpler: no buy/sell/perfected/deferred signals, just up/down counts. It’s uncanny how often a trend is refocused at Fibonacci numbers, but like TD_Sequential… it’s not perfect! As with all indicators, consult your intuition, before pulling the trigger.

The default values have been effective for me in Bitcoin (and I’m surprised how well it works in smaller time frames). However, for less volatile markets, you may need to reduce the fuzz level and/or adjust the filter (averaging) parameters.

FFC has been helpful to me. Hope it helps you too! If so, donations appreciated… Thanks!

BTC: 36FdUcETrwmGxt5qazq7Bo7kad9kuNawMF
LTC: MJYHzwJYjsnB35dzb5L9hCpqZf8RyqViEm
ETH: 0x3db7557bea61ca4c096c6ed7bdb2a0d69e455fe1


Looking for trailblazers to help explore new possibilities… Add constructive comments below!
發布通知
Same behavior as before...
TradingView changed something in the Pine scripting language that prevented the old code from working. Altered the logic in the filter function to get it working again.
countingfuzzytdsequentialtimeanalysisTrend Analysis

開源腳本

在真正的TradingView精神中,這個腳本的作者以開源的方式發佈,這樣交易員可以理解和驗證它。請向作者致敬!您可以免費使用它,但在出版物中再次使用這段程式碼將受到網站規則的約束。 您可以收藏它以在圖表上使用。

想在圖表上使用此腳本?

免責聲明