The most basic definition of a spread chart is that it is a comparison between a financial instrument (such as a stock) and an additional variable (such as another financial instrument or a numerical value). Trading by using spreads has been gaining popularity because they provide a new perspective of financial instrument value and can also help to alleviate some risk. There are a few different ways of utilizing spread charts. Some of the more popular ways include price inversions, currency conversions, financial instrument comparisons and pairs trading.
To create your own custom spread chart in TradingView, follow these steps:
For Example: Entering AAPL / XAUUSD will create a comparison of Apple vs. Gold by dividing Apple prices by Gold prices.
Spreads for intraday charts are calculated by taking the Open, High, Low, and Close of each 1-minute bar and then recompiling them into the selected interval. This approach is the only method that results in correct spread charts. We handle all necessary calculations on our servers and display the finished spread chart.
Please note that spread charts can get repainted. The reason for this is that real-time bars are built on tick data, whereas historical bars are built based on minute data. The tick data of price movements within a bar is not included in historical bars. The sequence of price movements intra-bar plays a crucial role in building spread bars in real-time, therefore real-time and historical data in a spread chart may be different. Everytime you refresh a chart, the data can be calculated on different servers each time, and every server can either use historical data, real-time data, or the combination of both. As a result, the bars built on different servers can mismatch and you may see slightly different bars after refreshing the spread chart. This peculiarity also affects alerts set on spread charts because an alert server processes data received only in real-time, thus the bars built on the alert server and chart server may sometimes mismatch.
Inverting a chart is a good way to visually chart the correlation between two instruments. For example, with two instruments with very low correlation, inverting one of the instruments with this method will make them viewable moving in the same direction.
For example, an inversion on the EURUSD: 1/EURUSD
Multiplying or dividing an instrument by a currency pair will allow you to view the price of the instrument in a different currency.
For Example, Best Buy shown in Euros: BBY/EURUSD
Instrument Comparisons
A common way to utilize spreads is to divide one instrument by another. This will give you spread value that can be tracked like a single instrument.
For Example, Apple vs. Gold: AAPL/XAUUSD
Exchange Arbitrage
Spreads can also be used to view the difference in price between the same instrument traded on two different exchanges. You will need to subtract the symbol for one exchange from the symbol from another exchange.
For Example: BATS:FB-NASDAQ:FB
With Bitcoin's rise in popularity, arbitrage between BTC (Bitcoin) trading in different currencies has also become a popular trading opportunity.
For Example: BTCUSD-BTCEUR*EURUSD
Pairs trading involves trading two separate instruments simultaneously in order to execute a single trade. Pairs trading is a popular way to alleviate some of the risk of trading. The idea is that you find two highly correlated symbols (or two very lowly correlated symbols) and enter a position in both symbols. If the pair is highly correlated, they should move in the same direction. Typically, an opportunity presents itself when the pair ratio breaks through a threshold that is a certain number of standard deviations away from their average standard deviation. You would then go long in the symbol that is under-performing and short in the symbol that is over-performing. When the pair moves back towards its average deviation, you would then close out both positions. Many technical analysts use the Bollinger Bands indicator to spot pairs trading opportunities. As in the example below, Bollinger Bands are set to be 2.2 Standard Deviations away from the average.
It is important to note a number things in regards to pairs trading.