AITLKER

A platform focused on foreign exchange trading, let's define the future of foreign exchange trading together

We are committed to creating a platform for you to enjoy AI intelligent foreign exchange trading, using advanced trading terminals for trading, or using AITLKER to create fully automated trading robots

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Efficient

Major

Data experts

Intelligent Trading Helps Foreign Exchange Trading Externally

To provide customers with various financial trading services, including futures trading, oil, gold, etc., to meet the needs and goals of different customers.

Platform Statistics

50+
Cooperating institutions

50000+
Robot usage/day

$380+M
30-day trading volume

Core values

Innovation drives customer first, integrity, integrity, and win-win cooperation

Open

Innovation driven: We firmly believe that innovation is the strongest driving force for our company's progress, and are committed to continuously exploring and breaking through in the fields of artificial intelligence technology and foreign exchange trading, providing customers with leading solutions.

Pioneering

Customer First: Customer needs and satisfaction are always at the center of our work. By providing high-quality products and services, we help customers achieve their goals and establish long-term mutual trust relationships.

Elucidating

Integrity and Integrity: We regard integrity as the lifeline of our enterprise. Whether internally or externally, we adhere to honesty and trustworthiness, fair transactions, and establish a good corporate image and brand reputation

Neutral

Win win cooperation: We advocate the spirit of teamwork, encourage cross departmental and cross domain collaborative work, and achieve the common growth and success of the company, employees, and customers through resource sharing and intelligent collision.

Sniper Robot

AI robot forex trading

AITLKER's artificial intelligence foreign exchange trading system is designed specifically to help users grow their assets steadily

Attack from both front and back to get the first deal

Efficient

Parameter Optimization

Data collection and processing: AI systems first collect a large amount of market data from various channels, including historical transaction data, economic indicators, policy changes, news reports, etc. Utilize data preprocessing techniques such as data cleaning and normalization to transform this data into a format that the model can analyze. Feature extraction: Next, machine learning algorithms are used to extract features from the data and identify factors that have a significant impact on market trends. These characteristics may include price fluctuations, trading volume, time series patterns, etc.

Visualize all iterations of parameters on a heat map to quickly understand your strategy's sensitivity to parameters, allowing for robust out-of-sample trading.

Explore further by opening each result and viewing its trading and backtest logs to understand where the alpha is coming from.

Institutional-grade real-time trading

Model training: Using extracted features, select appropriate machine learning or deep learning models for training. The purpose of model training is to enable AI systems to learn the relationships and patterns between data, so as to predict future market trends based on existing data. Validation and optimization: Test the trained model by validating the dataset to evaluate its predictive performance. Based on the test results, adjust and optimize the model to improve prediction accuracy. Prediction and Analysis: After completing model training and optimization, the AI system can make trend predictions based on real-time collected market data. The system will analyze the current market situation, predict future price trends, and provide decision support for traders.

Our real trading data interface includes US SIP, CME, FX and major cryptocurrency exchanges (Binance, Coinbase, etc.). Additional real-time feedback options are available upon request.

History

Beyond trading limits and embracing infinite possibilities

Focusing on the research and development of artificial intelligence technology, especially the possibility of applying AI technology to foreign exchange trading.
During this period, a preliminary AI transaction analysis model was successfully constructed and tested internally, achieving initial success.
Team expansion: Attract more top talents to join our team