Understand — Trading Ideas on TradingView

$AMC Few understand.

YFI - Still Bullish (No mint for YFI token proposal)A bit cooled off from the highs (Coinbase pro event) and on the support atm. But despite this still has a room to grow. But there's still a proposal to "burn YFI minting ability permanently" which I'm excited about. And it's winning right now, so I assume it will be implemented. Thus, no YFI minting can ever take place again! This could have a significant impact on the price if adopted. Hit the "LIKE" button and follow to support, thank you! Information is just for educational purposes, never financial advice. Always do your own research.

USD/CAD BEARISH MARKET STRUCTURE *-CONSECUTIVE LOWER HIGHS AND LOWER LOWS *-REJECTED WITH A PIN BAR OF 1.30684 SUPPORT ZONE *-WE MIGHT SEE A CORRECTIVE PRICE BEHAVIOUR *-POSSIBLE CORRECTIVE STRUCTURE UP TO 1.33 FIB/RES/TRENDLINE *-I AM SEEING A POSSIBLE NICE DOWNTREND HERE AFTER WE HAVE BROKEN A MASSIVE&HUGE IMPORTANT UPTRENDLINE *-PRICE MIGHT ALSO CORRELATE WITH 50 EMA *-WAITING TO SEE SOME PRICE ACTION/CANDLESTICK PATTERNS ON MY POCKET BEFORE ENTERING A LONG TRADE *-BE CAREFULL OF NFP THIS FRIDAY *-ITS BETTER TO CLOSE ALL OPEN TRADES BEFORE NFP #tradesafe #education #bestsetup #learn #freecontent

How to code EMA, understand it by code : Bitcoins :BTCUSD What is EMA ? Ema is known as exponential moving average, it comes from the class of weighted moving average. It gives more weightage to the recent price changes, thus making it much more relevant to the current market analysis. Also it provides a dynamic way of calculating support and resistances in a trend following setup. The most common way to mint profit out from the market is to use trend following setups which can be easily achieved by using a group of EMA’s So how’s this EMA calculated ? Before understanding the calculation of EMA let’s look into a much wider topic: “The Law of Averages” It states : If you do something often enough a ratio will appear, simply put, any time series data, tend to deviate from its average. EMA provides a way to statistically calculate the exponential moving average for a provided time series data giving much more emphasis on the most recent data in the series. So in the 17th century, when the people were playing with numbers in their free time, they came up with a statistical strategy to envelop any time series data to detect the direction of the data flow , they called it exponential moving average. Later in 1940’s with the increase in signal processing requirements in the field of electronic devices scientists started using Exponential moving average onto the electronic signal followers, just to classify the signals as above or below a moving/dynamic threshold. So EMA is a smoothed time-series data. The simplest form of EMA Smoothing can be given by the formula: S(t) = alpha * X(t) + (1 - alpha) * X(t - 1). The value of alpha must lie between 0 and 1 Where alpha , is the smoothing factor X(t) , is the current observation data point X(t - 1), is the past observational data point. t , is the current time Generally, In current day trading setups for EMA the alpha is calculated by alpha = 2 / (time period window + 1) Things to note here is that the alpha calculated above is the most generally used factor calculation method for EMA , You can tweak the alpha function above until it gives value between 0 and 1 for example alpha can also be written as alpha = ln ( current price / past price ) Note it’s just a weighing scheme, But for Our Case of EMA We will be using alpha = 2 / (time period window + 1) Please refer to the script code : SHARED HERE