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1. Price Trends
In the past month, the Bitcoin market has been relatively quiet, with the price fluctuating between 2,600 and 2,800. The trading volume of Huobi and OKCOIN has dropped from 2 million per day to about 500,000 per day, and the daily trading volume of foreign platforms is about 2,500 per day. This fully illustrates the strong wait-and-see sentiment in the market. From the K-line chart, the cost of investors participating in the transaction in the past month is distributed in the range of 2,700 to 2,760. The price trend in the past six months has basically formed four gradients of 2,000, 2,300, 2,500, and 2,700, and the 3,000 line that has been unbreakable for a long time is above. Due to the halving of Bitcoin production, the selling pressure brought by daily mining will actually be reduced, which is indeed a good thing for the long army, but the halving may also lead to a large reduction in computing power. Due to the withdrawal of MMM funds, the inherent pressure above 3,000, and other reasons, it is also difficult to go up, and perhaps no one is willing to choose this time to deliberately pull up.
2. The newcomer index looks at the amount of funds entering the market
The amount of funds brought in by new entrants recently may be enough to maintain the current price of the currency.
3. The long-short index looks at the market's recognition of the currency price
Due to the unresolved issues related to the Bitcoin system and the uncertainty brought about by the halving, the bearish sentiment in the market remains unabated.
The above data is updated in real time, and the chart was updated at 10:00 on April 10. We will continue to observe how the data will develop in the future.
4. Why is the transaction volume so large at the beginning of the year? There are several guesses:
A. The market maker manipulates the volume to deceive the market;
B. The platform's points system encourages users to increase their trading volume (free of handling fees, the greater the trading volume, the higher the membership level, and the more favorable the withdrawal);
C. Platform competitive volume manipulation;
D. Some people use the Bitcoin platform to transfer profits in the form of price difference (A-share market, an open secret);
E. Arbitrage robots trade in large quantities (however, arbitrage robots rarely trade hundreds or thousands of coins per transaction);
F. The above reasons are combined;
5. Automated trading of digital currencies
It is understood that there may be more than one thousand automated trading robots in operation in the domestic Bitcoin market. Currently, there are mainly the following types of automated trading robots:
Hedging arbitrage between platforms: First, you need to have money and coins on both platforms (if you don’t want to hold coins, you can borrow them). For example, the current price of Huobi.com is 2745, and the price of OKCoin is 2747. The robot will buy one coin on Huobi.com and sell one coin on OKCoin at the same time. When there is no price difference between the two markets, sell the coin bought on Huobi.com and buy back the coin sold on OKCoin, so you can earn 2 yuan difference.
Quantitative trading based on statistics: using statistical methods to find specific patterns of price fluctuations. For example, if the daily price fluctuation of Bitcoin reaches more than 30%, the chance of rebound or callback is very high. Of course, using statistical methods, we can analyze more microscopic and complex patterns that cannot be distinguished by the naked eye. At present, Shanghai Leiying is doing well. It is understood that they have achieved relatively good returns, and the support behind them is many mathematicians.
Quantitative trading based on data analysis: Quantitative trading based on data analysis basically follows the route of artificial intelligence (AI), which can see the overall market picture from a higher level and grasp the market as a whole. At present, the securities market has launched a relatively fierce competition. Many traditional market quantitative trading funds based on mathematics are slowly moving towards the direction of data analysis. In March, a quantitative hedge fund in Hong Kong went online. They have achieved full robot operation and a model without human intervention. They obtained 2% of the profit on the first day of going online. In the field of digital currency, only Bifu.com is currently exploring in China, and it is expected that products will be launched soon.
PS : Cryptocurrency investment is particularly risky, including but not limited to large coin hoarders dumping their coins, market makers manipulating the price of coins, and systemic risks of cryptocurrencies themselves. This article is for reference only. The market changes 24 hours a day, and the description in this article also has certain time limits and limitations. Investors are responsible for their own investments, and the author of this article or related websites are not responsible for the specific investments of investors.
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