teaches learners how to evaluate, compare, and use modern AI platforms for stock screening, sentiment analysis, and automated financial research. The course explores tools across TradingView, FinRL, QuantConnect, ChatGPT, MT5, and enterprise AutoML systems, giving participants hands-on experience building screening models and AI-driven workflows. With a strong focus on signal generation, NLP interpretation, platform selection, and toolchain integration, learners gain practical capabilities for real-market analysis. Graduates leave able to design full AI pipelines, benchmark platforms, and deploy insight-driven stock screening systems with transparency and confidence.
Crescimento
Competências e objetivos de aprendizagem
Há 9 módulos neste curso
- The Rise of AI in Financial Trading and AnalysisDesbloqueia este curso para ver3min 31s
- Key Functions of AI in Market Analysis: Signal Generation, Forecasting, Sentiment MiningDesbloqueia este curso para ver3min 56s
- Human vs. Machine Reasoning in Trading EnvironmentsDesbloqueia este curso para ver2min 35s
- Framework for Evaluating AI Platforms: Transparency, Accuracy, CustomizabilityDesbloqueia este curso para ver2min 33s
- Comparison Matrix: AI Tool vs. Use Case vs. Required Skills vs. CostDesbloqueia este curso para ver2min 52s
- TradingView with LLM Plugins: Building Smart Dashboards and AlertsDesbloqueia este curso para ver2min 26s
- FinChat, Perplexity AI, and Bard: Conversational Interfaces for Chart ReadingDesbloqueia este curso para ver2min 27s
- Pattern Recognition AI: Tickeron, TrendSpider, and ChartMillDesbloqueia este curso para ver2min 37s
- Real-Time Use Case: Setting Up a Multi-Signal TradingView WorkspaceDesbloqueia este curso para ver2min 32s
- Limits of Interactive Tools: Black-Box Warnings and Hallucination RisksDesbloqueia este curso para ver2min 14s
- FinRL and ElegantTrader: Reinforcement Learning for Dynamic PortfoliosDesbloqueia este curso para ver3min 31s
- Backtrader vs. Zipline: Historical Strategy Testing EnvironmentsDesbloqueia este curso para ver3min 7s
- XGBoost, CatBoost, and AutoTS: Tabular Models for Alpha ExtractionDesbloqueia este curso para ver3min 20s
- Pipeline Design: From Data Ingestion to Backtest Reports in JupyterDesbloqueia este curso para ver2min 56s
- Case Study: Daily Stock Screener with Custom ML Models (Python)Desbloqueia este curso para ver2min 43s
- Quantitative Performance Metrics & Portfolio Risk DashboardsDesbloqueia este curso para ver2min 45s
- QuantConnect (LEAN): Algorithmic Research on Institutional DataDesbloqueia este curso para ver2min 3s
- MetaTrader 5 (MT5) and Python Bridge: From Indicators to ExecutionDesbloqueia este curso para ver1min 52s
- QuantRocket and Interactive Brokers: Data Handling + Live OrdersDesbloqueia este curso para ver1min 40s
- Alpaca, Tradier, and OANDA APIs: Broker-Agnostic Strategy DeploymentDesbloqueia este curso para ver1min 36s
- Case Study: Building and Executing a Momentum Strategy in QuantConnectDesbloqueia este curso para ver1min 39s
- Platform Considerations: Cost, Brokerage Support, and Strategy ComplexityDesbloqueia este curso para ver2min 16s
- FinBERT and VADER: Comparing Pretrained Models for Earnings CallsDesbloqueia este curso para ver1min 54s
- Newsflow Integration: AlphaSense, RavenPack, and Custom API ParsingDesbloqueia este curso para ver1min 59s
- Reddit, Twitter, and StockTwits Data: Signal vs. Noise in Retail SentimentDesbloqueia este curso para ver1min 58s
- Design Walkthrough: LLM-Powered Sentiment Dashboard for U.S. EquitiesDesbloqueia este curso para ver2min 9s
- Ethical Risks: Manipulation, Bias in Language Models, and MisinformationDesbloqueia este curso para ver1min 41s
- H2O.ai and DataRobot: Enterprise-Scale AutoML for Price PredictionDesbloqueia este curso para ver3min 26s
- Google AutoML & Vertex AI: Quick Prototyping for Financial Time SeriesDesbloqueia este curso para ver2min 31s
- Akkio, Obviously AI, and Orange: No-Code Tools for Trading InsightsDesbloqueia este curso para ver2min 35s
- Comparison Table: Flexibility vs. Simplicity vs. Model AccuracyDesbloqueia este curso para ver2min 3s
- Use Case: Deploying a No-Code Signal Model on Currency DataDesbloqueia este curso para ver1min 49s
- Model Interpretability and Explainability: SHAP, LIME, and Attention MapsDesbloqueia este curso para ver3min 4s
- IEX Cloud, Polygon.io, Alpha Vantage: Real-Time and Historical Market Data APIsDesbloqueia este curso para ver4min 57s
- Combining OpenAI with Market APIs: ChatGPT for Earnings Recaps and Risk AlertsDesbloqueia este curso para ver3min 18s
- Toolchains: Connecting GPT, TradingView, and Alpaca for Event-Driven TradingDesbloqueia este curso para ver2min 18s
- Risks and Controls: Latency, Rate Limits, and Automation HazardsDesbloqueia este curso para ver2min 29s
- Security and Access Control ChecklistDesbloqueia este curso para ver3min 6s
- Designing a Tool Stack: Aligning Goals with Platform CapabilitiesDesbloqueia este curso para ver2min 55s
- Deployment Options: Cloud Dashboards, Browser Apps, and IDE PipelinesDesbloqueia este curso para ver2min 50s
- Compliance and Monitoring: Broker Audits, Logging, and Model RiskDesbloqueia este curso para ver2min 8s
- Ethical AI Use in Trading: Attribution, Overfitting, and Fair AccessDesbloqueia este curso para ver2min 7s
- Data Governance Tools and Version ControlDesbloqueia este curso para ver1min 42s
- Capstone 1: Build an End-to-End Trading Pipeline with Sentiment + Price ModelsDesbloqueia este curso para ver1min 50s
- Capstone 2: Compare Two Platforms (FinRL vs. QuantConnect)Desbloqueia este curso para ver1min 24s
- Capstone 3: Design an Interactive Trading Interface with NLP FeedbackDesbloqueia este curso para ver2min 39s
- ClosingDesbloqueia este curso para ver1min 16s
Este curso faz parte das seguintes certificações
Certified Portfolio & Fund Manager (CPFM)
63 CursosExercícios interativos ilimitados
Desbloquear certificado
Certificate in AI-Powered Financial Analysis (CAFA)
56 CursosExercícios interativos ilimitados
Desbloquear certificado
AI & Algo Trading Certification (AIAT)
54 CursosExercícios interativos ilimitados
Desbloquear certificado
Perguntasfrequentes sobre o curso
The course aims to teach learners how to apply AI, machine learning, and NLP to equity screening and investment research, combining structured financial data with unstructured text to build intelligent stock-screening systems.
The course is designed for analysts, traders, data scientists, and investment professionals seeking to integrate AI-enhanced research tools, sentiment models, and automated screening into their equity-analysis workflows.
The module covers tokenization, embeddings, topic modeling, entity extraction, and sentiment scoring applied to filings, earnings-call transcripts, and financial news.
The course explains LLM-based screeners, research-assistant agents, prompt engineering, hybrid factor-LLM screening, and automated thesis generation for investment research.
Learners will learn to validate ranking models, detect bias and drift, apply explainability tools, implement governance and compliance standards, and build a production-style AI stock-screening dashboard.
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