Long River Technology - Futures Trading Software

Futures trading management software can help users improve trading efficiency, better manage trading risks, and achieve better returns on investment. Such software can also help investors better understand how the futures market works and thus make more informed investment decisions. These features make futures trading management software an essential tool for traders, which can help traders improve trading efficiency, better manage trading risks, and achieve better returns on investment.

The futures market analysis software is a software system specially used to analyze the futures market. Futures market analysis software can help users better understand market dynamics and trends, and help investors make more informed investment decisions. This kind of software can also provide various trading strategies and models to help users make more scientific and effective trading plans.

1. Futures trading management software is a software system specially used to manage futures trading. Such software typically includes the following features:

1.1. Real-time market

Provides real-time market data, including the latest price, rise and fall, and trading volume of futures contracts.

1.2. Trading orders

Provide transaction order function, users can trade futures contracts through the software.

1.3. Risk Management

Carry out risk assessment and risk management on the futures contracts held by users, including position management, stop loss and take profit settings, etc.

1.4. Information analysis

Provide various futures market analysis and information to help users understand market dynamics and trends.

1.5. Account Management

Help users manage account information, including funds, transaction records, profit and loss, etc.

Futures trading management software can help users improve trading efficiency, better manage trading risks, and achieve better returns on investment. Such software can also help investors better understand how the futures market works and thus make more informed investment decisions.

2. The characteristics of futures trading management software mainly include the following aspects:

2.1. Safe and reliable

Formal futures trading management software will be certified by relevant regulatory agencies, and strict security measures will be taken to protect users' funds and transaction data.

2.2. Real-time market

Provide real-time futures market prices, fluctuations and related index data to help traders make decisions.

2.3. Information and analysis tools

Provide comprehensive market information, news, analysis reports, etc., to help traders analyze market trends and industry trends, and make wise trading strategies.

2.4. Trading tools and functions

Provide fast and convenient trading tools, support multiple order methods and order types, such as limit order, stop loss order, trailing stop loss, etc.

2.5. Risk Management

Carry out risk assessment and risk management on the futures contracts held by users, including position management, stop loss and profit setting, etc., to help users control risks.

2.6. Account Management

Help users manage account information, including funds, transaction records, profit and loss, etc., so that users can understand their transaction status and account information.

These features make futures trading management software an essential tool for traders, which can help traders improve trading efficiency, better manage trading risks, and achieve better returns on investment.

3. The futures market analysis software is a software system specially used to analyze the futures market. Such software typically includes the following features:

3.1. Market View

Provide real-time futures market data, including the latest price, price change, trading volume, etc.

3.2. Chart analysis

Provide various technical analysis tools and charts to help users analyze market trends and price movements.

3.3. Fundamental analysis

Provide market news, fundamental data and reports, etc., to help users understand market dynamics and trends.

3.4. Trading Strategies

Provide various trading strategies and models to help users make more scientific and effective trading plans.

3.5. Account Management

Help users manage account information, including funds, transaction records, profit and loss, etc.

Futures market analysis software can help users better understand market dynamics and trends, and help investors make more informed investment decisions. This kind of software can also provide various trading strategies and models to help users make more scientific and effective trading plans.

4. Basic static data configuration management

4.1. System parameters

Configure the number of CPU cores, trading interface, market data file storage, market server, and external system interface.

4.2. Trading day and holiday maintenance

Automatically generate initial holidays, manually maintain special holidays, and generate data for use by other system modules.

4.3. CTP interface configuration

Username, password, brokerage company code, IP, port number and other interface information configuration management.

4.4. Trading interface configuration management

Unified management of different types of transaction interfaces (CTP, Kingstar Asset Management, ...).

4.5. Trading account risk control configuration

Real-time transaction risk control data configuration such as initial capital, maximum position, maximum retracement, maximum available funds, warning line, closing line, etc.

4.6. Periodic account configuration for automatic trading products

Multi-account, multi-period, multi-model, multi-indicator automatic trading configuration.

4.7. Automatic analysis and configuration of periods above the daily line after hours

Configure the model analysis parameters above the daily line level.

4.8. Automatic operation and maintenance assistant configuration

Configure automatic management and operation programs, including market server, automatic trading, after-hours data processing, automatic system startup, etc.

5. Strategy development

5.1. Basic product parameters

Including data of China's four major futures exchanges and two major stock exchanges.

5.2. Historical data static test

Based on historical data, test model indicators such as capital curve, rate of return, retracement, profit-loss ratio, winning rate, etc., and can be compared among multiple model indicators.

5.3. Historical dynamic test

For model strategies using future functions, using historical dynamic tests can better reflect the actual historical operation of model indicators.

5.4. Simple indicator model development

Similar to Wenhuamai language to quickly develop simple model indicators.

5.5. Complex model indicator development

Use C# to develop complex model indicator strategies.

6. After-market data statistics

6.1. Download transaction data

Download the settlement statement of the exchange, including: fund data, transaction records, liquidation details, position details, and position summary.

6.2. Statistics

Statistics of profit and loss curves, position curves, and retracement curves.

7. Automatic transaction monitoring

7.1. Trading Variety Monitoring

Monitor the operation of trading varieties, whether the market reception is normal, and the main contract mapping.

7.2. Order monitoring

For automatic order monitoring, you can view the K-line chart of the order trigger signal.

8. Manual declaration

Orders can be manually intervened, and all positions can be closed with one click.

9. Quote server

Dual machine hot standby market server.