TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
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Part 3: Decoding Central Bank Speeches with NLP (Fed Meetings)
Build a Fed Sentiment Index from FOMC speeches using NLP. Predict rate hikes with topic models and sentiment classifiersโcorrelation proven.
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Part 2: Mapping Market Volatility to Global News Headlines
Correlate FinBERT sentiment with VIX spikes using Granger causality tests. Event study code on 6000+ stocks reveals predictive signals.
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Part 1: Sentiment Analysis of Financial News using FinBERT
Transform financial news into trading signals with FinBERT. Build a sentiment classifier pipeline with 0.89 F1โdataset analysis included.
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Deep Learning for Algorithmic Trading: From LSTM to Transformers
Compare LSTM vs Transformer for stock prediction: 2-year backtest on S&P 500 with Sharpe ratios. Complete training and signal generation code.
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Detecting Financial Fraud using Anomaly Detection Techniques
Detect credit card fraud with Isolation Forest on 99.8% imbalanced data. SMOTE resampling vs raw: which metric to trust? Code + benchmarks.
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Building a Credit Risk Scoring Model with Machine Learning
Build a credit scoring model with XGBoost: 0.92 AUC-ROC achieved. SHAP explainability, feature engineering, and production deployment guide.
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Advanced Feature Engineering for Financial Time-Series
Engineer 15 financial features for time-series ML: RSI, MACD, Bollinger Bands, lag returns. Code templates for pandas and feature validation.