Merge remote-tracking branch 'origin/main'

README.md

@@ -118,6 +118,9 @@ the [AlgorithmConnectorConfiguration](java/trading_algorithms/src/main/java/com/
 and are in charge of translate market messages into the format our framework can understand and send orders to the
 market.
 
+These engines possess the capability to archive data in a database, a feature that can be leveraged for the purpose of
+backtesting or analytical examination.
+
 * MarketDataProvider : receive depth and trades . listen(TypeMessage.depth, TypeMessage.trade, TypeMessage.command)
 * TradingEngineConnector: send request and listen to execution reports listen(TypeMessage.execution_report,
   TypeMessage.info)
@@ -154,11 +157,11 @@ metatrader.pull.port=32768
 
 ### Backtest
 
-![Backtest Architecture](fig/BacktestArquitecture.JPG?raw=true "Backtest")
+![Backtest Architecture](fig/BacktestArquitecture.jpg?raw=true "Backtest")
 
 ### Live trading
 
-![Live Architecture](fig/LiveArquitecture.JPG?raw=true "Live trading")
+![Live Architecture](fig/LiveArquitecture.jpg?raw=true "Live trading")
 
 ## Environment settings
 

docs/alpha_as.md

@@ -25,9 +25,11 @@ advantages:
 5. Potential for Improved Performance: The combination of the Avellaneda Stoikov model with RL has the potential to
    outperform traditional market making strategies, as demonstrated in academic research.
 6. Flexibility: The RL can be trained with different types of algorithms (like DQN, PPO, etc.), providing flexibility in
-   choosing the most suitable one for the specific market conditions and trading objectives.
+   choosing the most suitable one for the specific market conditions and trading objectives.<br>
+
+[Notebook](../python/notebooks/AlphaAvellanedaStoikov.ipynb)
 
 ### Avellaneda Stoikov implementation
 
 * [Java](../java/trading_algorithms/src/main/java/com/lambda/investing/algorithmic_trading/market_making/avellaneda_stoikov/AvellanedaStoikov.java)
-* [Python](../python/trading_algorithms/market_making/avellaneda_stoikov.py)
+* [Python](../python/trading_algorithms/market_making/avellaneda_stoikov.py)