Chart Maker _ The Most Professional Technical Chart Strategy Platform

Grapher - the most professional technical chart strategy platform. Technical analysis and strategies covering financial fields such as stocks, commodities, and futures; Committed to using strategies to assist investors in trading and increase the likelihood of trading profits in the financial market.

Based on artificial intelligence and big data analysis, the graphic designer combines professional personnel to provide intelligent strategy services, helping investors make better decisions in the financial market. This is referred to as Strategy 2.0. In the charting industry, a strategy is more effective

Through steps such as market data, trading algorithms, iterative optimization, model determination, and evaluation improvement, it is possible to output the trading service content that users need in a short period of time.

What is artificial intelligence

Artificial intelligence refers to human intelligence technology implemented through computer programs, with core issues including the ability to construct reasoning, knowledge, planning, learning, communication, perception, movement, and manipulation of objects that are similar to or even beyond humans. If the classification of things is borrowed into horizontal and vertical categories, it can be divided into countable and uncountable, as well as inferential and non inferential. In the past, artificial intelligence only solved things that could be statistically analyzed and inferred, which was the AI1.0 stage. Now, new methods have been developed by combining machine learning and neural networks, such as deep learning, to analyze problems from new perspectives and dimensions, which is the AI 2.0 stage.

Market data

The vast amount of data is the foundation for developing reliable strategies, but it is impossible to process it manually. With the help of artificial intelligence, chart makers can cluster and analyze real-time market data, distinguish between tradable and non tradable situations, and meet the conditions

Select the trading varieties.

This is the initial step in strategy development, similar to buying and processing ingredients before cooking. Artificial intelligence can enable chart makers to process thousands of data in seconds, accelerating the discovery of market opportunities.

Trading algorithm

For trading varieties that meet the conditions, artificial intelligence will screen trading algorithms from the algorithm library, analyze market trends, and find trading opportunities that match the current market situation.

For example, form recognition is a relatively intuitive technical analysis, but traditional manual drawing is inefficient. Computers analyze market data to obtain corresponding market characteristics, and select forms that meet the criteria according to the conditions, ultimately outputting an ideal analysis

As a result, the most suitable trading opportunity was found in a short period of time.

Iterative optimization

Choosing a good "recipe" and iterating and optimizing it is essential. Based on the patterns discovered in market data, adjusting and optimizing the established algorithm functions can more effectively improve the algorithm's explanatory power to the market and fit the operating rules of the market. Let's make a comparison

Fang, playing games, optimizing one's own gameplay under established conditions, with the aim of obtaining the highest possible score.

In other words, the process of selecting algorithms based on market data is like a chef choosing a reasonable recipe to cook after the ingredients are processed.

Strategic Model

After multiple iterations of optimization, the algorithm adapts to the corresponding market and obtains a model for formulating strategies. When new market data is input, the model outputs trading strategies, including varieties, directions, entry and exit conditions.

Traditional strategy formulation requires a lot of time for analysis and calculation, which cannot meet the efficiency requirements. However, strategy models based on artificial intelligence can analyze data in real time, output strategies that meet the conditions, reduce the workload of investors, and improve the efficiency of analysis

Accuracy and the possibility of profitability.

Based on a large number of strategy models, corresponding strategy content can be provided to meet the needs of different investors, greatly improving the real-time and efficiency of services.

Evaluate and improve

The construction of strategic models does not stop with the determination of the model. The computer will evaluate the effectiveness of each model at regular intervals to check whether the output strategy is still effective. Financial markets change quickly, and the model should be adjusted in a timely manner to ensure the effectiveness of the strategy

The top 5 characteristics are a crucial part of Strategy 2.0.

It's like a chef finishing a dish, constantly adjusting the dish according to changes in mainstream tastes to meet market demand. In other words, the process of selecting algorithms based on market data is like a chef choosing a reasonable one after the ingredients are processed

Use recipes to cook.