How to use Trading View
Preface:
Whether or not Technical Analysis (TA) is effective at predicting markets is up for debate. Many individuals think that there is no meaningful analysis behind TA or Indicators, but I personally disagree. This intro is not meant to be a full debate of the pros and cons of TA; rather, that I think TA is a tool and it should be used accordingly. There is no “right” or “wrong” way to analyze patterns, there are infinite possibilities and it’s impossible to get every bet right. However, TA can show when the market is overextended or underextended, especially when used in combination with FA, to help you make decisions and manage risk. In order to actually take advantage of combining TA and FA, it’s important to have a baseline understanding of how to do TA, and how Trading View functions. With that out of the way, let’s dive in.
Note: if this is your first time using Trading View, then go ahead and read from step 1, if you are familiar with the basic functionality of trading view, you can skip to section ___.
Ticker Code Syntax:
Exchange:[Ticker1]/[Ticker2]
Bitstamp:ETHUSD/Bitstamp:BTCUSD
While in the search bar, you can also create equations to modify your charts. This isn’t as important, but it’s good to know. The search bar works under the normal PEMDAS rules, so if you want to create a chart for the market cap of ETH vs the market cap of BTC for example, you would use this equation:
(ETH price * ETH supply) / (BTC price * BTC supply)
Which is typed in as:
(Bitstamp:ETHUSD119906000)/(Bitstamp:BTCUSD18979000)
You can also do this by inputting (CRYPTOCAP:ETH/CRYPTOCAP:BTC), but the data doesn’t go back as far in time; the above is also just an example to show how the equations work in the search bar.
4. Now that you have your currency selected, you can start to use the multitude of indicators and tools at your disposal. If you click on the indicators button at the top, there is a massive list of options, and frankly it can be a little overwhelming. Here are the primary indicators that have been the most helpful in my experience so far, in no particular order of importance:
• MACD: Moving Average Convergence Divergence
o Lagging momentum indicator: signal = divergence of highs/lows between the indicator and the price. For example, if price makes a higher high but the MACD makes a lower high, that’s a bearish divergence. Since this momentum is lagging, it’s important not to consider the macd alone, it can give false positives where there is a divergence, but then the divergence gets larger.
• RSI: Relative Strength Index
o Another momentum indicator, except for instead of tracking moving averages, the RSI takes the magnitude of price changes in relation to previous prices. Less of a lagging indicator, and is a good combination with the MACD. Again, a signal here is when there is divergence between price and the indicator.
• sRSI: Stochastic Relative Strength Index
o An indicator that actually takes the Stochastic Oscillation equation in reference to the Relative Strength Index. So instead of analyzing the price itself, it’s an indicator that analyzes the RSI. By using this indicator, you can determine if the RSI itself is in an overbought or oversold area, giving more fine-tuned precision on an assets RSIs future movements. In general, if the sRSI is <20, it’s oversold, if the sRSI is >80, the asset is overbought.
• BB%B: Bollinger Bands Percent Bandwidth
o The BB%B is an indicator showing where the price is in relation to the Bollinger Band range, valued at 0%-100%. So if a Bollinger Band ranges from $1-$1.5 for example, then a reading of $1.25 would be 50 on the BB%B. If there are values that are less than 0, the asset is considered oversold, while being over 100 is overbought.
• SMA’s and EMA’s: Simple and Exponential Moving Averages
o These are the easiest of the indicators, but also one of the most useful. A simple moving average just takes the average close of every candle in the defined range. So the 50 day SMA is the simple average of the previous 50 days of trading. The exponential moving average is different in that more mathematical weight is placed on more recent data points. This is why the EMA will appear much more volatile than the SMA. SMA’s and EMA’s are often used as lines of either support or resistance, depending on which direction the moving average is compared to the price.
o The most common band referenced is the “BTC Bull Market Support Band”, which is both the 21w EMA and the 20w SMA. Using both is helpful, because if the EMA crosses to the downside, it means that price recently has gone down relative to the actual average; conversely, if the EMA crosses to the upside, it means price recently has gone up relative to the actual average.
o Also important to note that these are both lagging indicators, they are moving averages, but the longer the timeframe, the stronger the signal.
Reference table for the types of divergences for MACD, RSI, and sRSI (p = price, i = indicator):
Bull Div Hidden Bull Div Bear Div Hidden Bear Div
LL p : HL i HL p : LL i HH p : LH i LH p : HH i