Trading System for Financial Companies

GT6trade meets all your needs.

If you are evaluating options for building your financial trading platform, we recommend trying GT6. It offers excellent performance, powerful features, and, most importantly, extensive customization to suit your business and market needs—our distinct advantage.

Meets the Needs of Almost Any Financial Sector

Stocks, Forex, CFD Contracts, Matching Exchanges, Private Equity…

Over-the-Counter Trading Model

Also known as the OTC model or the market maker model, it means that customers trade directly with the financial company, forming a counterparty relationship

Matching Trading Model

involves users trading with each other, where transactions are matched based on price and time priority. It is a centralized trading approach.

Single-Sided Full Payment Model

requires the buyer to pay the entire amount upfront at the time of transaction, with no allowance for short selling without holding the underlying asset.

Long-Short Dual Leverage Margin

this model is a financial trading mechanism that enables investors to hold both long and short positions simultaneously using leverage.

Build the Best Trading System Experience for You

User CRM System

GT6 comes with an integrated user CRM system, covering a comprehensive set of features such as user registration, deposits and withdrawals, user KYC, and user level management.

Agent Distribution System

Is a key tool for managing broker roles. Its main features include customer information management, transaction history, and position management.

Reports & Monitoring System

A system for real-time monitoring of operations, analyzing trading data, and generating key reports. It tracks trading activities, customer behavior...

Chart display module

is used for visualizing market trends, trading activities, and technical indicators. It provides a clear representation of financial data through charts...

No-Code Algorithmic Trading System

Currently, most trading software on the market requires programming to develop algorithmic strategies. However, with GT6, you can design your own strategy without any coding—just configure the conditions easily.

Financial Data and Information System

It can aggregate global market data and financial news, and develop customized service products for you!

User Interaction and Social System

It can build relationships and chat interactions between internal users, and can establish group relationships or other social community functions!

Advanced Components

Build a large-scale solution for you
Financial Ecosystem

Our advanced components can help you create a leading and unique financial ecosystem. The advanced components are not included in the standard version; we have developed the basic module functionalities and offer customization based on platform requirements.

Enhance platform appeal to quickly attract and retain customers!

Detailed Introduction to OTC Trading Model

The Over-the-Counter (OTC) trading model, also known as the market maker model, involves customers trading directly with the financial company, forming a counterparty relationship. After receiving a customer’s order, the financial company can choose whether to hedge or take the opposing position. This is a flexible trading model that supports decentralized trading, allowing users to trade directly with the counterparty under customized conditions, while also providing risk management and credit control functions.

The OTC trading model is mainly used for financial products not listed on exchanges, such as derivatives, bonds, foreign exchange, and small company stocks. Both parties can freely negotiate terms, providing a high degree of flexibility, which makes it particularly suitable for customized financial products. The OTC market supports a wide range of financial asset transactions, including stocks, forex, bonds, and derivatives. OTC trading is especially well-suited for customized assets that centralized exchanges struggle to accommodate. Due to the absence of a centralized market mechanism, the trading terms and asset types are more flexible and diverse.

the Matching Trading Model

The matching trading model involves users trading with each other, where transactions are matched based on price priority and time priority. It is a centralized trading approach in which buy and sell orders are automatically matched through the trading system to complete transactions. This ensures market transparency, fairness, and efficient execution of trades. It also serves the function of price formation and price discovery.

The matching trading model achieves automatic order matching through a centralized matching system to facilitate transactions. Orders are sorted according to price and time priority to ensure fair and orderly trading. An electronic order book publicly displays all outstanding orders, providing highly transparent price information. Matching trading is characterized by high liquidity and standardization, making it suitable for fast execution and non-negotiated financial products. This model is widely used for trading standardized financial products such as stocks, futures, options, and commodities, ensuring market efficiency and stability. Financial companies that need to operate exchange-like trading environments can opt for this model

the Single-Sided Full Payment Model

The single-sided full payment model requires the buyer to pay the full amount upfront upon reaching an agreement, after which the seller delivers the goods or provides the service once the payment is received. It is commonly used in bulk commodity trading, stock trading, and certain international trade scenarios.

In the single-sided full payment model, the buyer pays the full amount at the time of the transaction, making the process straightforward and direct. After making the full payment, the buyer must wait for the seller to deliver, assuming a higher credit risk. On the other hand, the seller delivers only after receiving full payment, effectively eliminating the risk of non-payment, thus aiding cash flow. This model is typical in bulk commodity trading, stock trading, and international trade. It is well-suited for pre-orders and high-value goods, especially when the seller needs to procure or custom-produce items in advance, such as pre-ordered goods or high-value items in international trade.

the Long-Short Dual Leverage Margin Model

The long-short dual leverage margin model is a financial trading mechanism that allows investors to simultaneously hold both long and short positions using leverage, enabling them to profit from both market upturns and downturns. This model is widely used in derivatives markets, such as futures, CFDs, forex, and cryptocurrencies, where leverage is used to amplify the trading size and margin is paid as collateral.

The core of this model lies in the ability of investors to profit from both rising and falling prices, maximizing capital efficiency through leverage. Investors are required to deposit margin as collateral, which includes both initial margin and maintenance margin. Price volatility can lead to liquidation, and forced liquidation is implemented to protect the funds of both the trading platform and the investor. This model enhances capital efficiency, allowing investors to respond flexibly to market fluctuations and capitalize on potential gains, whether prices rise or fall. Application scenarios include futures markets, forex trading, contracts for difference (CFDs), cryptocurrency trading, as well as precious metals and commodities trading.

the User CRM System

The user CRM system is the core management tool of a financial trading platform, used for systematically managing user registration, levels, trading orders, positions, and fund flows. It enhances user experience and platform operational efficiency by providing real-time monitoring of trading activities, personalized services, and risk alerts.

The system helps the platform effectively organize and categorize clients through user registration, identity verification, and level management. It tracks user trading orders and positions in real time, maintains transaction history, and performs risk monitoring to ensure transparency and controllable risks. The deposit and withdrawal management module allows users to apply for fund movements online, with the platform maintaining strict control over fund review and processing to ensure compliance. The system supports multi-level agent management and customer support, helping the platform optimize the agent network and quickly respond to user needs, improving customer satisfaction. By analyzing trading and behavior data, the system generates various reports for the platform, enabling managers to make data-driven business decisions.

the Agent Distribution System

The agent distribution system is a key tool used by financial companies to support and manage their broker roles. Its main features include client information registration and management, historical trade tracking, position management, and commission settlement. This ensures brokers can comprehensively track client activities, provide quality service, and ensure transparent and fair commission distribution.

The main functionalities include client information management, trade tracking, position management, and commission settlement. The client information management feature helps brokers register and store client data, as well as track client account activities in real time. The trade management feature allows brokers to understand clients’ investment status through positions and historical trading records, providing personalized support.

The system supports automated commission calculation and multi-level agent management, ensuring fair and transparent commission distribution and efficient agent network management. It helps financial companies improve overall revenue and operational efficiency.

the Reporting and Operations Monitoring System

The reporting and operations monitoring system is designed for real-time monitoring of operations, analyzing trading data, and generating key reports. By collecting, organizing, and analyzing data such as trading activities, customer behavior, and system performance, it provides clear business insights to support strategic decision-making. It helps businesses manage operational risks, optimize processes, and improve operational efficiency.

The system assists companies in monitoring business operations in real time, analyzing trading data, and generating key reports. Through data collection and monitoring of key metrics, it provides comprehensive business insights that support operational management and strategic adjustments. The system generates trading and financial reports to aid market analysis and corporate financial management.

Risk monitoring and alert features ensure timely identification and management of potential risks, such as customer positions and market volatility. System operation monitoring ensures the efficiency of servers and order processing, allowing smooth operation during peak trading periods. Data analysis and visualization features provide companies with clear market insights and trend forecasts, supporting long-term strategic planning and business decisions.

the Chart Display Module

The chart display module is used to visually present market trends, trading activities, and technical indicators. By visualizing complex financial data through charts, it helps users understand market trends and make informed trading decisions. This module provides clear visual representations of market dynamics for financial trading platforms, making it a core component for supporting technical analysis and strategy development.

It offers real-time price trends, technical indicator overlays, and market depth information, supporting multiple time frames and custom analysis needs. Market depth and volume charts help traders analyze market supply and demand conditions and activity levels, identifying trading opportunities. The historical data backtracking feature provides historical price trends and data comparisons, enabling traders to analyze past market behaviors. Chart interaction features, such as drawing tools and annotation markers, allow users to make personalized notes on the charts to aid in analysis and record market perspectives. By providing clear visual representations and real-time data, the chart display module effectively simplifies data comprehension, enhancing user experience and trading decision efficiency.