Transparency in AI Predictions
At TradeStan, we believe in building trust through transparency. Explore our innovative processes to understand how we empower your trading decisions.
Discover MoreOur Prediction Accuracy
See our current accuracy in real-time with our gauge meter, reflecting the reliability of our predictions.
How We Determine Sentiments
Data Collection
We scrape real-time data from a variety of sources, including news articles, social media platforms, financial reports, and market feeds, to capture the latest market sentiment.
Sentiment Analysis
Using advanced natural language processing (NLP) techniques, we analyze the collected data to determine the sentiment (positive, negative, or neutral) expressed in the text.
Market Integration
We combine sentiment scores with real-time market data to classify predictions as bullish, bearish, or mixed, ensuring our insights are contextually relevant.
Confidence Assignment
We assign confidence levels to our predictions based on the quality of the data, historical accuracy, and the strength of the sentiment signal.
How We Calculate Accuracy
Prediction Tracking
We track the outcome of each prediction by comparing it against actual market movements, ensuring we measure real-world performance.
Weighted Scoring
We use a weighted scoring system that accounts for the confidence levels of our predictions, giving more weight to high-confidence predictions.
Model Validation
We regularly validate our models using historical data and backtesting to ensure our predictions remain accurate over time.
Transparency in Metrics
We provide a transparent accuracy percentage, updated daily, so you can see the real-time performance of our predictions.
Trust in Transparency
We are committed to providing you with the most accurate and reliable trading predictions. Join thousands of traders who trust TradeStan for their trading decisions.
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