No analysis available. Click the button to trigger the engine.
+
+ {% endif %}
+
+
+
+
+
+
+
+ Real-time Sentiment
+
+ RSS ANALYSIS FEED
+
+
+
+ {% if latest %}
+
+ {% endif %}
+
+
+ Bearish
+ Neutral
+ Bullish
+
+
+
+
+
+
+
What is this?
+
This engine simulates 1,000 potential price paths for the S&P 500 E-mini (ES) futures. It combines historical volatility, a Markov Switching Model for regime detection, and real-time sentiment analysis to estimate intraday risk boundaries.
+
+
+
How to use?
+
Watch the Tail Risk (VaR) level. In high volatility regimes, price tends to test these boundaries. The Bias suggests a directional lean based on combined indicators.
+
+
+
+
+
+
+
+
+
+
+
+
Engine History
+
+
+
+ {% for item in history %}
+
+
+
+
{{ item.created_at|date:"M d, H:i" }}
+
+ {{ item.bias }} BIAS
+
+
+
{{ item.expected_low|floatformat:1 }}
+
+
+ {% empty %}
+
No history records found.
+ {% endfor %}
+
+
+
+
+
+
+
+
System Integrity
+
+
+
+ Markov Chain:
+ ACTIVE
+
+
+ Data Feed:
+ YFINANCE
+
+
+ Bias Engine:
+ KALMAN-MOD
+
+
+
+
+
+
+
+
{% endblock %}
\ No newline at end of file
diff --git a/core/urls.py b/core/urls.py
index 6299e3d..9127173 100644
--- a/core/urls.py
+++ b/core/urls.py
@@ -1,7 +1,7 @@
from django.urls import path
-
-from .views import home
+from . import views
urlpatterns = [
- path("", home, name="home"),
-]
+ path('', views.index, name='index'),
+ path('simulate/', views.run_simulation, name='run_simulation'),
+]
\ No newline at end of file
diff --git a/core/views.py b/core/views.py
index c9aed12..00c9987 100644
--- a/core/views.py
+++ b/core/views.py
@@ -1,25 +1,42 @@
-import os
-import platform
-
-from django import get_version as django_version
-from django.shortcuts import render
-from django.utils import timezone
-
-
-def home(request):
- """Render the landing screen with loader and environment details."""
- host_name = request.get_host().lower()
- agent_brand = "AppWizzy" if host_name == "appwizzy.com" else "Flatlogic"
- now = timezone.now()
+from django.shortcuts import render, redirect
+from .models import SimulationResult
+from .risk_engine import RiskEngine
+import json
+def index(request):
+ """Main dashboard showing the latest analysis and a list of historical runs."""
+ latest = SimulationResult.objects.order_by('-created_at').first()
+ history = SimulationResult.objects.order_by('-created_at')[1:10]
+
context = {
- "project_name": "New Style",
- "agent_brand": agent_brand,
- "django_version": django_version(),
- "python_version": platform.python_version(),
- "current_time": now,
- "host_name": host_name,
- "project_description": os.getenv("PROJECT_DESCRIPTION", ""),
- "project_image_url": os.getenv("PROJECT_IMAGE_URL", ""),
+ 'latest': latest,
+ 'history': history,
+ 'status': 'Ready'
}
- return render(request, "core/index.html", context)
+ return render(request, 'core/index.html', context)
+
+def run_simulation(request):
+ """Executes the risk engine and stores the result."""
+ if request.method == 'POST':
+ try:
+ engine = RiskEngine()
+ results = engine.run_simulation()
+
+ # Save to DB
+ sim = SimulationResult.objects.create(
+ expected_low=results['expected_low'],
+ worst_case_5th=results['worst_case_5th'],
+ drawdown_prob=results['drawdown_prob'],
+ bias=results['bias'],
+ take_profit=results['tp'],
+ stop_loss=results['sl'],
+ sentiment_score=results['sentiment'],
+ regime=results['regime'],
+ summary=f"Analysis for {engine.symbol} completed."
+ )
+ return redirect('index')
+ except Exception as e:
+ # For simplicity, pass error back to index
+ return render(request, 'core/index.html', {'error': str(e), 'status': 'Error'})
+
+ return redirect('index')
\ No newline at end of file