## 5 Research Results and Verification  
This chapter is a step to verify the contents of the cryptocurrency time series analysis algorithm in 1 min units using LSTM. For this purpose, two cryptocurrencies, Bitcoin (BTC) and Ethereum (ETH) within a limited period were applied to this algorithm and demonstrated. In other words, the uptrend or the downtrend in the next minute was predicted through the latest 200/200 data in units of one minute. Following this prediction, the actual trading of 80 pairs (80 purchasing, 80 selling) was carried out, and the number of trading cases was compared with the experimental results presented in Tables 1 and 2 as well as Figures 5 and 6. As a result, the values of two cryptocurrencies, Bitcoin and Ethereum, fell somewhat within a limited period. Still, it was confirmed that there was some gain in the experimental results of applying LSTM. Table 1 shows the latest five accurate data per minute of Bitcoin as an example. Date1 indicates the date and time of purchase and buy suggests the purchase price. Moreover, date2 represents the date and time of selling, and sell represents the selling price. Then, date3 shows the date and time in units of 10 min to show the graph as in Figure 5 and shows the actual price in units of 10 min. In the chart in Figure 5, the circle (blue) indicates buying. Meanwhile, the triangle (red) indicates selling. In addition, date1 and date2 each have 80 data, but only five are shown in Table 1 as examples. As shown in Figure 5, from 13:10 on 22 November 2021, to 12:50 on 23 November 2021, through 80 pairs of Bitcoin transactions, it is as follows. It returns from an uptrend to a downtrend to buy and sell. 62.5% of the asking price was higher than the asking price, and 78.75% of the next bid price was lower than the asking price. Table 3 shows the evaluation metrics of Bitcoin buying and selling points. The buying point was 3 for MAE, 0.234375 for MSE, and 0.484122918275927 for RMSE, the selling  
Figure 5: 80 pairs of Bitcoin trading per minute graph. Figure 6: 80 pairs of Ethereum trading per minute graph. point was 1.7 for MAE, 0.19375 for MSE, and 0.440170421541475 for RMSE. Here, it was confirmed that a positive gain was taken by selling +12.5% (62.5-50) and buying +28.75% (78.5-50) based on the average value of buying and selling (50%). If we bought Bitcoin on 22 November 2021, at 13:15 and sold it on 23 November 2021, at 6:16, it would come out at \(-\)1,339,000 won. Using the proposed method, a gain of 3,185,000 won was confirmed compared to the previous. If these parts were summarized in a simple formula, as follows, the result of the actual data for about 24 h in this experiment confirmed that there was a gain of +4.44% as follows. * The purchase price of the starting point was 71,725,000 won (The buy value of date1 in the first row (No. 1) in Table 1)
* Last selling price of the natural transaction, \(-\)1,339,000 won
* The final selling price of this experiment to which LSTM was applied, KRW 1,846,000
* difference of c-b (gain), 3,185,000 won
* Profit rate of this study applying LSTM compared to natural transaction-based on the starting purchase price (percentage of d), +4.44%  
Table 2 shows the latest five accurate data per minute of Ethereum as an example. date1 indicates the date and time of purchase and buy the purchase price. Additionally, date2 represents the date and time of selling, and sell represents the selling price. Additionally, date3 shows the date and time in units of 10 min to show the graph as in Figure 5 and shows the actual price in units of 10 min. In the chart in Figure 6, the circle (blue) indicates buying, and the triangle (red) indicates selling. In addition, although date1 and date2 each have 80 data, Table 2 shows only five each as an example. As shown in Figure 6, buy the selling price when returning to a downtrend after the following bull market through 80 Ethereum trading pairs from 12:13 on 22 November 2021, to 4:02 on 23 November 2021.