What is the development of currency management robot system and quantitative trading system?

What is quantitative trading?
Quantitative trading refers to the use of advanced mathematical models to replace human subjective judgments, and the use of computer technology to select a variety of "high probability" events that can bring excess returns from huge historical data to formulate strategies, which greatly reduces investor sentiment The impact of volatility, to avoid making irrational investment decisions when the market is extremely enthusiastic or pessimistic.
What is a quantitative trading robot?
In essence, a trading robot is a software program that directly interacts with financial exchanges (usually using APIs to obtain and interpret relevant information), and issue buy and sell orders based on market data interpretation. These robots make these decisions by monitoring market price trends and reacting according to a set of pre-set and programmed rules. Usually, a trading robot analyzes market behavior, such as trading volume, order, price and time, and they can usually be programmed according to your own preferences.
What is exchange market value management?
Regarding the market management of trading, many exchange project operators have big defects and problems in this regard. The number of members in the early days of the exchange was not large, the trading depth was not good, the K-line trend was not good, and the trading volume was not large. At this time, in addition to handling the operation and solving manually, you can also rely on intelligent trading software and automatic trading robots to assist in the completion of market making management. Then this shows the importance of market-making management software. The second is that after the currency-issuing project party has finished listing on the exchange, there is also the problem of insufficient trading volume or the problem of wanting to control the currency price trend. At this time, smart market-making software can be used to complete the work.
Quantitative trading systems include: 1 , Direction 2, Entry 3, Exit 4, and risk control four modules.
1. Direction: The correctness of the direction judgment determines the premise of whether the transaction will be profitable. The direction of different cycles will be contradictory. The choice of direction for different types of trading is also different for swing traders and intraday short-term trading. Many investors often Lost and at a loss. The trend quantification system uses existing market conditions to make quantitative judgments on the future trend direction to ensure that the transaction direction is correct;
2. Entry: Entry position is very important in trading, especially in futures trading. In many transactions, it is often encountered that "the direction order is correct but the stop loss is hit", but the profitable order turns into a loss. , This is a great psychological blow to trading. The advantageous entry position not only has a low stop loss cost, but also usually quickly floats after entering the market, providing a good mentality for later positions and profit tracking. The trend quantification system calculates the resistance level of the price movement to obtain accurate and high probability entry points;
3. Exit: the exit level is an important factor in maximizing profitability. Even with a good entry level, we don’t know when to exit the market. , Most of the result is that a wave of market only made a small profit and regrets it. The fundamental reason is that the price operation space of the trading band is unknown. The exit position module of the trend quantification system solves the space problem and maximizes profit with a high probability;
4. Risk control: According to modules 1, 2 and 3, combined with the capital situation and their own psychological state, formulate position strategies (including how many positions, whether to build positions in batches, etc.), and set stop loss levels, strictly to "no stop loss" "Don't make orders", stay away from the potential risks of unexpected news and cause unnecessary losses.