Fix: Vectorized strategy logic, Fee management implementation, and Dashboard logs tab.

Author: lbitto-sdg

dashboard/Home.py

@@ -15,13 +15,10 @@
 
     # Usiamo un container colorato per evidenziare la strategia
     with st.container():
-        c_badge, c_link = st.columns([3, 1])
+        c_badge, _ = st.columns([3, 1])
         with c_badge:
             st.info(f"🧠 **Active Intelligence:** The system is currently running on **{active_strat}** strategy.")
-        with c_link:
-            # Purtroppo Streamlit non ha link interni facili, usiamo un testo guida
-            st.caption("Change Strategy in:")
-            st.page_link("pages/control_panel.py", label="🕹️ Control Panel", icon="🔧")
+        
 except Exception as e:
     st.error(f"⚠️ Error loading configuration: {e}")
 

docs/README.md

@@ -16,7 +16,7 @@ Automated trading data pipeline & decision support system. Fetches market data,
 ![License](https://img.shields.io/badge/license-MIT-green)
 
 **Last Update:** January 2026
-**Version:** 1.3.0 (Dynamic Config & Backtest Lab)
+**Version:** 1.4.0 (Vectorized Engine & Fee-Adjusted Backtesting)
 **Wiki:** [Complete Documentation](https://github.com/leoBitto/petunia/wiki)
 
 ---
@@ -27,10 +27,21 @@ Automated trading data pipeline & decision support system. Fetches market data,
 
 ### Key Features
 * 🐳 **Containerized Architecture:** Isolated Docker environments for App and Database (PostgreSQL).
-* 📈 **Strategy Factory:** Plug-and-play strategy engine (Currently supporting **EMA Crossover** & **RSI Mean Reversion**).
-* 🧪 **Backtest Lab:** Advanced simulation engine with Benchmark capabilities and Plotly visualizations.
+* 📈 **Strategy Factory:** Plug-and-play strategy engine with **Vectorized Execution** for high performance (Currently supporting **EMA Crossover** & **RSI Mean Reversion**).
+* 🧪 **Backtest Lab:** Realistic simulation engine with **Fee/Commission structure** (Fixed + Variable), Benchmark capabilities, and detailed metrics (ROI, Max Drawdown).
 * 🛡️ **Risk First:** Built-in Risk Manager enforcing the 2% Rule and ATR-based volatility stops.
-* 📊 **Interactive Dashboard:** Streamlit UI for portfolio monitoring, strategy configuration, and system control.
+* 📊 **Interactive Dashboard:** Streamlit UI for portfolio monitoring, strategy configuration, system control, and log inspection.
+
+---
+
+## ⚙️ Configuration (`config/strategies.json`)
+
+The system behavior is fully customizable via JSON, manageable directly from the **Control Panel**:
+
+- **`active_strategy`**: Selects the logic to run in production (e.g., "RSI").
+- **`risk_params`**: Controls capital exposure (Risk % per trade, Stop Loss ATR multiplier).
+- **`fees_config`**: Simulates broker costs (Fixed fee + % per trade) for realistic backtests and net-profit calculation.
+- **`strategies_params`**: Specific parameters for each algorithm (e.g., RSI Period, EMA Windows).
 
 ---
 
@@ -67,8 +78,8 @@ Once running, access the Dashboard at **`http://localhost:8501`** to initialize
 Detailed documentation is available in the **[GitHub Wiki](https://github.com/leoBitto/petunia/wiki)**.
 
 * **[Strategy Playbook](https://www.google.com/search?q=https://github.com/leoBitto/petunia/wiki/Strategy-Playbook):** Deep dive into EMA and RSI logic.
-* **[Risk Management](https://www.google.com/search?q=https://github.com/leoBitto/petunia/wiki/Risk-Management-Bible):** How position sizing works.
-* **[Architecture](https://www.google.com/search?q=https://github.com/leoBitto/petunia/wiki/Architecture-%26-Data-Flow):** System internals and data pipeline.
+* **[Risk Management](https://www.google.com/search?q=https://github.com/leoBitto/petunia/wiki/Risk-Management-Bible):** How position sizing and Fee calculation works.
+* **[Architecture](https://www.google.com/search?q=https://github.com/leoBitto/petunia/wiki/Architecture-%2526-Data-Flow):** System internals and data pipeline.
 * **[Developer Guide](https://www.google.com/search?q=https://github.com/leoBitto/petunia/wiki/Developer-Guide):** Project structure and contribution guidelines.
 
 ---
@@ -78,17 +89,16 @@ Detailed documentation is available in the **[GitHub Wiki](https://github.com/le
 ### v1.x - Expansion & Testing (Completed)
 
 | Status | Module | Description |
-| :---: | :--- | :--- |
+| --- | --- | --- |
 | ✅ | **Core v1.0** | Stable Docker Architecture, Risk Manager |
-| ✅ | **Testing** | Full PyTest Suite: Unit, Mocking, and DB Integration |
 | ✅ | **Strategies** | Implemented Trend Following (EMA) & Mean Reversion (RSI) Logic |
-| ✅ | **Dynamic Config** | Allow Strategy selection via Frontend (DB-backed Settings) |
-| ✅ | **Backtest Lab** | Unified Benchmark Engine & Interactive Plotly Charts |
+| ✅ | **Dynamic Config** | Allow Strategy & Fee selection via Frontend |
+| ✅ | **Backtest Lab** | Vectorized Engine, Max Drawdown Metrics & Fee Adjustment |
 
 ### v2.0 - Cloud Native & DevOps (Next Up)
 
 | Status | Module | Description |
-| :---: | :--- | :--- |
+| --- | --- | --- |
 | 🔮 | **IaC** | Terraform for GCP Infrastructure provisioning |
 | 🔮 | **Cloud Deploy** | Production deployment on GCP Compute Engine |
 | 🔮 | **Secret Mgr** | Migration to Google Secret Manager (No more .env) |
@@ -98,18 +108,17 @@ Detailed documentation is available in the **[GitHub Wiki](https://github.com/le
 
 * **Grid Search Optimization:** Automated finding of best parameters (e.g., Best RSI period for Apple vs Tesla).
 * **Universe Expansion:** Scaling data engine to handle 500+ tickers (S&P 500).
-* **New Strategies:** Bollinger Bands, MACD, and Volume-based strategies.
-* **Deep Analytics:** Sharpe Ratio, Max Drawdown, and Calmar Ratio metrics in Dashboard.
+* **Deep Analytics:** Sharpe Ratio, Calmar Ratio, and Monte Carlo simulations.
 
 ### v4.0 - AI Agent & Alternative Data
 
 * **Sentiment Analysis:** LLM-based analysis of financial news and social sentiment.
-* **AI Oracle:** An autonomous agent that selects the best strategy based on current market regime (Bull/Bear/Crab).
+* **AI Oracle:** An autonomous agent that selects the best strategy based on current market regime.
 * **Headless Mode:** Full autonomy with reduced UI dependency.
+
 ---
 
 ## 📄 License
 
 Released under the **MIT License**.
 © 2026 Leonardo Bitto
-