Category: Finance & Quant
-
Production-Ready Gold Price Prediction: From Jupyter Notebook to REST API
Build a production REST API for gold price forecasting with model versioning, drift detection, and monitoring โ from notebook to deployment.
-
LSTM vs Transformer for Gold Price Forecasting: A Practical Showdown
LSTM vs Transformer for gold price prediction: implementing both architectures, comparing failure modes, and discovering why 54% direction accuracy is the uncomfortable reality.
-
Classical vs Neural Time Series: ARIMA and LSTM Head-to-Head on Gold Prices
ARIMA beats LSTM on short-term gold forecasts but collapses at 30-day horizons. A head-to-head comparison reveals when each model fails and why.
-
Gold Price Analysis: Pattern Recognition in 10 Years of Market Data
Analyzing 10 years of gold price data reveals volatility clustering, regime shifts, and non-stationary patterns that standard forecasting models miss.
-
Time Series Stock Forecasting: Why ARIMA Failed and LSTM Barely Worked
ARIMA just outputs yesterday's price, LSTM hits 52% directional accuracy. Why stock forecasting is harder than tutorials admit.
-
Technical Indicators and Trading Signals: Moving Averages, RSI, and MACD in Practice
Moving averages, RSI, and MACD in practice: what works, what doesn't, and why your signals are probably garbage. Includes working Python code and backtest results.
-
Stock Price Analysis Python: yfinance vs pandas-datareader in 2026
Comparing yfinance vs pandas-datareader for stock price data in 2026. Benchmarked speed, data quality, and edge cases to pick the best library for analysis.
-
Part 5: Automating Earnings Call Summarization with LLMs
Build an automated LLM pipeline for SEC filing summarization: EDGAR API retrieval, section-aware chunking, structured extraction, and hallucination safeguards for financial NLP.