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@@ -18,11 +18,11 @@ When you save an annotation, a test case is **automatically generated** and save
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### What's Included
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Each test case contains:
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- ✅ **Market State** - OHLCV data for all 4 timeframes (100 candles each)
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- ✅ **Entry/Exit Prices** - Exact prices from annotation
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- ✅ **Expected Outcome** - Direction (LONG/SHORT) and P&L percentage
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- ✅ **Timestamp** - When the trade occurred
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- ✅ **Action** - BUY or SELL signal
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- **Market State** - OHLCV data for all 4 timeframes (100 candles each)
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- **Entry/Exit Prices** - Exact prices from annotation
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- **Expected Outcome** - Direction (LONG/SHORT) and P&L percentage
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- **Timestamp** - When the trade occurred
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- **Action** - BUY or SELL signal
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### Test Case Format
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```json
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@@ -105,7 +105,7 @@ The system integrates with your existing models:
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---
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## 🚀 Real-Time Inference
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## Real-Time Inference
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### Overview
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Real-time inference mode runs your trained model on **live streaming data** from the DataProvider, generating predictions in real-time.
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@@ -298,7 +298,7 @@ model = orchestrator.cob_rl_agent
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---
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## 🚀 Advanced Usage
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## Advanced Usage
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### Custom Training Parameters
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Edit `ANNOTATE/core/training_simulator.py`:
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@@ -345,11 +345,11 @@ models/checkpoints/ (main system)
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The ANNOTATE system provides:
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✅ **Automatic Test Case Generation** - From annotations
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✅ **Production-Ready Training** - Integrates with orchestrator
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✅ **Real-Time Inference** - Live predictions on streaming data
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✅ **Data Consistency** - Same data as main system
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✅ **Easy Monitoring** - Real-time progress and signals
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**Automatic Test Case Generation** - From annotations
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**Production-Ready Training** - Integrates with orchestrator
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**Real-Time Inference** - Live predictions on streaming data
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**Data Consistency** - Same data as main system
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**Easy Monitoring** - Real-time progress and signals
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**You can now:**
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1. Mark profitable trades
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@@ -360,4 +360,4 @@ The ANNOTATE system provides:
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---
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**Happy Training!** 🚀
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**Happy Training!**
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