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Cover image for The work on display highlights
The work on display highlights Quantura, a market intelligence and stock forecasting platform. The platform features a comprehensive suite of tools built for financial research and predictive modeling, including: Forecasting Studio: Generates probabilistic forecasts (incorporating P10, P50, and P90 quantile thresholds) utilizing a model ensemble of state-of-the-art tools like Prophet, Chronos, and LLMs to run scenario analyses and visualize outcomes. Market Screener: Filters across stocks, ETFs, crypto, and macroeconomic indicators to surface trading opportunities and signals. Historical Downloads: Provides access to clean, standardized historical data spanning over 20 years for backtesting and model development. Prediction Markets: Analyzes real-time probabilities from leading prediction markets. Research Hub: Houses original research, model evaluations, and market insights. APIs & Integrations: Offers programmatic access via REST API and Python to fetch market data, model forecasts, and prediction metrics.
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Cover image for : Today I ran into an
: Today I ran into an Expo EAS build issue that worked perfectly on my local machine but failed every time in the cloud. My first instinct was to blame the code. I reinstalled dependencies, cleared the cache, reviewed the logs, and checked my project configuration. The code wasn't the problem. A small configuration mistake was. The fix took less than a minute. Finding it took hours. What I learned When an app works locally but fails in production, don't immediately assume your code is broken. Start by checking: Environment variables Build configuration File paths Deployment settings Sometimes the fastest fix isn't writing more code—it's asking the right debugging questions. 💬 Question for other developers: What's one bug that sent you down the wrong path before you finally found the real cause?
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