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Flatlogic Bot 2026-03-01 10:38:53 +00:00
parent af205d0d92
commit f15c14e4d7
9 changed files with 543 additions and 186 deletions
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import yfinance as yf
import pandas as pd
import numpy as np
from textblob import TextBlob
import feedparser
import httpx
from typing import List, Tuple, Dict, Any
import warnings
# Suppress yfinance multi-index warning for cleaner logs
warnings.filterwarnings("ignore", category=FutureWarning)
class MarkovChain:
def __init__(self, symbol: str, bins: int = 5):
self.symbol = symbol
self.bins = bins
def fetch_data(self) -> pd.DataFrame:
try:
# Using period="1y" and auto_adjust=True
data = yf.download(self.symbol, period="1y", interval="1d", progress=False)
if data.empty:
return None
data["returns"] = data["Close"].pct_change()
return data.dropna()
except Exception:
return None
def build_states(self, data: pd.DataFrame) -> pd.DataFrame:
data["state"] = pd.qcut(
data["returns"],
self.bins,
labels=False,
duplicates="drop"
)
return data
def prob_matrix(self) -> Tuple[np.ndarray, int]:
data = self.fetch_data()
if data is None:
return None, None
data = self.build_states(data)
states = data["state"].astype(int).values
unique_states = np.unique(states)
bins = len(unique_states)
transition_matrix = np.zeros((bins, bins))
for i in range(len(states) - 1):
current_state = states[i]
next_state = states[i + 1]
transition_matrix[current_state][next_state] += 1
row_sums = transition_matrix.sum(axis=1, keepdims=True)
# Fix the np.divide warning by providing 'out' and making it single-line/cleaner
transition_matrix = np.divide(
transition_matrix,
row_sums,
out=np.zeros_like(transition_matrix),
where=row_sums != 0
)
recent_state = int(states[-1])
return transition_matrix, recent_state
def add_moving_averages(data: pd.DataFrame, fast: int = 20, slow: int = 50) -> pd.DataFrame:
data["SMA_fast"] = data["Close"].rolling(window=fast).mean()
data["SMA_slow"] = data["Close"].rolling(window=slow).mean()
return data
def add_crossover_signals(data: pd.DataFrame) -> pd.DataFrame:
data["signal"] = 0
data.loc[data["SMA_fast"] > data["SMA_slow"], "signal"] = 1
data["position_change"] = data["signal"].diff()
data["event"] = ""
data.loc[data["position_change"] == 1, "event"] = "Bullish Crossover"
data.loc[data["position_change"] == -1, "event"] = "Bearish Crossover"
return data
def fetch_news() -> List[str]:
feeds = [
"https://feeds.bbci.co.uk/news/business/rss.xml",
"https://feeds.reuters.com/reuters/businessNews",
]
headlines = []
for url in feeds:
try:
feed = feedparser.parse(url)
for entry in feed.entries[:10]: # reduced to 10 per feed for speed
headlines.append(entry.title)
except Exception:
continue
return list(set(headlines))
def analyze_sentiment(headlines: List[str]) -> List[Tuple[str, float, str]]:
results = []
for h in headlines:
polarity = TextBlob(h).sentiment.polarity
if polarity > 0:
label = "Positive"
elif polarity < 0:
label = "Negative"
else:
label = "Neutral"
results.append((h, polarity, label))
return sorted(results, key=lambda x: x[1], reverse=True)
def get_market_analysis(symbol: str) -> Dict[str, Any]:
# Markov Analysis
mc = MarkovChain(symbol)
matrix, recent_state = mc.prob_matrix()
markov_data = None
if matrix is not None:
next_probs = matrix[recent_state]
predicted_state = int(np.argmax(next_probs))
probability = float(next_probs[predicted_state])
if predicted_state > recent_state:
bias = "Bullish"
color = "success"
elif predicted_state < recent_state:
bias = "Bearish"
color = "danger"
else:
bias = "Neutral"
color = "secondary"
markov_data = {
"current_state": recent_state,
"predicted_state": predicted_state,
"probability": f"{probability:.2%}",
"bias": bias,
"color": color,
"state_labels": [
{"id": 0, "label": "Strong Bearish", "color": "vibrant-red"},
{"id": 1, "label": "Bearish", "color": "text-muted"},
{"id": 2, "label": "Neutral", "color": "text-light"},
{"id": 3, "label": "Bullish", "color": "cyber-blue"},
{"id": 4, "label": "Strong Bullish", "color": "neon-green"}
]
}
# Technical Analysis
data = yf.download(symbol, period="6mo", interval="1d", progress=False)
tech_data = None
if not data.empty:
data = add_moving_averages(data)
data = add_crossover_signals(data)
latest = data.iloc[-1]
# In newer yfinance versions, 'Close' can be a series if it's a MultiIndex (even with 1 symbol)
close_val = float(latest['Close'].iloc[0]) if hasattr(latest['Close'], 'iloc') else float(latest['Close'])
sma_fast = float(latest['SMA_fast'].iloc[0]) if hasattr(latest['SMA_fast'], 'iloc') else float(latest['SMA_fast'])
sma_slow = float(latest['SMA_slow'].iloc[0]) if hasattr(latest['SMA_slow'], 'iloc') else float(latest['SMA_slow'])
if sma_fast > sma_slow:
trend = "Bullish"
color = "success"
else:
trend = "Bearish"
color = "danger"
last_event = data[data["event"] != ""]
last_event_msg = last_event.iloc[-1]["event"] if not last_event.empty else "No recent crossover"
tech_data = {
"latest_close": f"${close_val:.2f}",
"sma_20": f"${sma_fast:.2f}",
"sma_50": f"${sma_slow:.2f}",
"trend": trend,
"color": color,
"last_event": last_event_msg
}
# News Sentiment
headlines = fetch_news()
sentiment_results = analyze_sentiment(headlines)
avg_sentiment = float(np.mean([x[1] for x in sentiment_results])) if sentiment_results else 0.0
if avg_sentiment > 0:
overall = "Positive"
color = "success"
elif avg_sentiment < 0:
overall = "Negative"
color = "danger"
else:
overall = "Neutral"
color = "secondary"
sentiment_data = {
"avg_sentiment": f"{avg_sentiment:.2f}",
"overall": overall,
"color": color,
"top_headlines": [{"title": h, "label": l, "polarity": f"{p:.2f}"} for h, p, l in sentiment_results[:5]]
}
return {
"symbol": symbol.upper(),
"markov": markov_data,
"tech": tech_data,
"sentiment": sentiment_data
}

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core/templates/base.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>{% block title %}Knowledge Base{% endblock %}</title>
{% if project_description %}
<meta name="description" content="{{ project_description }}">
<meta property="og:description" content="{{ project_description }}">
<meta property="twitter:description" content="{{ project_description }}">
{% endif %}
{% if project_image_url %}
<meta property="og:image" content="{{ project_image_url }}">
<meta property="twitter:image" content="{{ project_image_url }}">
{% endif %}
{% load static %}
<link rel="stylesheet" href="{% static 'css/custom.css' %}?v={{ deployment_timestamp }}">
{% block head %}{% endblock %}
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{% block title %}Market Intelligence Dashboard{% endblock %}</title>
<meta name="description" content="{% block description %}Analyze stock market data using Markov Chains, Moving Averages, and Sentiment Analysis.{% endblock %}">
<!-- Bootstrap 5 CSS -->
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet">
<!-- Google Fonts -->
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;800&family=Montserrat:wght@700;800&display=swap" rel="stylesheet">
<!-- Bootstrap Icons -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.11.1/font/bootstrap-icons.css">
{% load static %}
<link rel="stylesheet" href="{% static 'css/custom.css' %}?v={% now 'U' %}">
{% block extra_head %}{% endblock %}
</head>
<body>
{% block content %}{% endblock %}
</body>
<nav class="navbar navbar-expand-lg navbar-dark bg-dark border-bottom border-secondary">
<div class="container">
<a class="navbar-brand brand-font d-flex align-items-center gap-2" href="/">
<span class="fs-4">📊</span> MarketInsight
</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNav">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNav">
<ul class="navbar-nav ms-auto">
<li class="nav-item">
<a class="nav-link active" href="/">Dashboard</a>
</li>
<li class="nav-item">
<a class="nav-link" href="/admin/">Admin</a>
</li>
</ul>
</div>
</div>
</nav>
</html>
<main>
{% block content %}{% endblock %}
</main>
<footer class="bg-dark text-muted py-4 border-top border-secondary mt-5">
<div class="container text-center">
<p class="mb-0">&copy; {% now 'Y' %} Market Insight Dashboard. All rights reserved.</p>
</div>
</footer>
<!-- Bootstrap 5 JS -->
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js"></script>
{% block extra_js %}{% endblock %}
</body>
</html>

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core/templates/core/index.html
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{% extends "base.html" %}
{% block title %}{{ project_name }}{% endblock %}
{% block head %}
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;700&display=swap" rel="stylesheet">
<style>
:root {
--bg-color-start: #6a11cb;
--bg-color-end: #2575fc;
--text-color: #ffffff;
--card-bg-color: rgba(255, 255, 255, 0.01);
--card-border-color: rgba(255, 255, 255, 0.1);
}
* {
box-sizing: border-box;
}
body {
margin: 0;
font-family: 'Inter', sans-serif;
background: linear-gradient(45deg, var(--bg-color-start), var(--bg-color-end));
color: var(--text-color);
display: flex;
justify-content: center;
align-items: center;
min-height: 100vh;
text-align: center;
overflow: hidden;
position: relative;
}
body::before {
content: '';
position: absolute;
inset: 0;
background-image: url("data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' width='100' height='100' viewBox='0 0 100 100'><path d='M-10 10L110 10M10 -10L10 110' stroke-width='1' stroke='rgba(255,255,255,0.05)'/></svg>");
animation: bg-pan 20s linear infinite;
z-index: -1;
}
@keyframes bg-pan {
0% {
background-position: 0% 0%;
}
100% {
background-position: 100% 100%;
}
}
main {
padding: 2rem;
}
.card {
background: var(--card-bg-color);
border: 1px solid var(--card-border-color);
border-radius: 16px;
padding: 2.5rem 2rem;
backdrop-filter: blur(20px);
-webkit-backdrop-filter: blur(20px);
box-shadow: 0 12px 36px rgba(0, 0, 0, 0.25);
}
h1 {
font-size: clamp(2.2rem, 3vw + 1.2rem, 3.2rem);
font-weight: 700;
margin: 0 0 1.2rem;
letter-spacing: -0.02em;
}
p {
margin: 0.5rem 0;
font-size: 1.1rem;
opacity: 0.92;
}
.loader {
margin: 1.5rem auto;
width: 56px;
height: 56px;
border: 4px solid rgba(255, 255, 255, 0.25);
border-top-color: #fff;
border-radius: 50%;
animation: spin 1s linear infinite;
}
@keyframes spin {
to {
transform: rotate(360deg);
}
}
.runtime code {
background: rgba(0, 0, 0, 0.25);
padding: 0.15rem 0.45rem;
border-radius: 4px;
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
}
.sr-only {
position: absolute;
width: 1px;
height: 1px;
padding: 0;
margin: -1px;
overflow: hidden;
clip: rect(0, 0, 0, 0);
border: 0;
}
footer {
position: absolute;
bottom: 1rem;
width: 100%;
text-align: center;
font-size: 0.85rem;
opacity: 0.75;
}
</style>
{% endblock %}
{% extends 'base.html' %}
{% load static %}
{% block content %}
<main>
<div class="card">
<h1>Analyzing your requirements and generating your app…</h1>
<div class="loader" role="status" aria-live="polite" aria-label="Applying initial changes">
<span class="sr-only">Loading…</span>
<div class="hero-gradient py-5">
<div class="container py-4">
<header class="text-center mb-5">
<h1 class="display-4 fw-bold mb-2">📊 <span class="text-cyber">Market</span> Intelligence</h1>
<p class="lead text-muted">Markov Chains • Moving Averages • News Sentiment</p>
</header>
<div class="row justify-content-center mb-5">
<div class="col-md-8 text-center">
<form method="GET" class="d-flex flex-column flex-sm-row justify-content-center align-items-center gap-3">
<input type="text" name="symbol" value="{{ symbol }}" class="ticker-input" placeholder="Enter Stock Symbol (e.g. TSLA)" required>
<button type="submit" class="btn btn-cyber">Run Analysis</button>
</form>
</div>
</div>
{% if error %}
<div class="alert alert-danger bg-dark text-danger border-danger rounded-4 mb-5" role="alert">
{{ error }}
</div>
{% endif %}
{% if analysis %}
<div class="row g-4">
<!-- Markov Forecast -->
<div class="col-lg-4 col-md-6">
<div class="glass-card">
<h3 class="h5 mb-4 text-cyber"><i class="bi bi-cpu"></i> Markov Forecast</h3>
{% if analysis.markov %}
<div class="mb-4">
<div class="metric-label">Current State</div>
<div class="metric-value">{{ analysis.markov.current_state }}</div>
</div>
<div class="mb-4">
<div class="metric-label">Predicted State</div>
<div class="metric-value">{{ analysis.markov.predicted_state }}</div>
</div>
<div class="mb-4">
<div class="metric-label">Probability</div>
<div class="metric-value text-cyber">{{ analysis.markov.probability }}</div>
</div>
<div class="mt-4 pt-3 border-top border-secondary">
<div class="d-flex justify-content-between align-items-center mb-3">
<span class="text-muted small">Market Bias:</span>
<span class="badge-{{ analysis.markov.color }} sentiment-badge text-uppercase">{{ analysis.markov.bias }}</span>
</div>
<!-- State Key -->
<div class="state-key mt-3">
<div class="text-white small mb-2 text-uppercase fw-bold" style="letter-spacing: 1px;">State Key:</div>
<div class="d-flex flex-wrap gap-2">
{% for state in analysis.markov.state_labels %}
<div class="state-key-item d-flex align-items-center gap-1">
<span class="state-id text-white">{{ state.id }}:</span>
<span class="state-label small text-white">{{ state.label }}</span>
</div>
{% endfor %}
</div>
</div>
</div>
{% else %}
<p class="text-muted">Insufficient data for Markov analysis.</p>
{% endif %}
</div>
</div>
<!-- Technical Trend -->
<div class="col-lg-4 col-md-6">
<div class="glass-card">
<h3 class="h5 mb-4 text-cyber"><i class="bi bi-graph-up-arrow"></i> Technical Trend</h3>
{% if analysis.tech %}
<div class="mb-4">
<div class="metric-label">Latest Close</div>
<div class="metric-value">{{ analysis.tech.latest_close }}</div>
</div>
<div class="row mb-4">
<div class="col-6">
<div class="metric-label">SMA 20</div>
<div class="h4 mb-0 fw-bold">{{ analysis.tech.sma_20 }}</div>
</div>
<div class="col-6">
<div class="metric-label">SMA 50</div>
<div class="h4 mb-0 fw-bold text-muted">{{ analysis.tech.sma_50 }}</div>
</div>
</div>
<div class="mb-4">
<div class="metric-label">Last Crossover</div>
<div class="h6 mb-0">{{ analysis.tech.last_event }}</div>
</div>
<div class="mt-4 pt-3 border-top border-secondary">
<div class="d-flex justify-content-between align-items-center">
<span class="text-muted small">Trend:</span>
<span class="badge-{{ analysis.tech.color }} sentiment-badge text-uppercase">{{ analysis.tech.trend }}</span>
</div>
</div>
{% else %}
<p class="text-muted">Unable to fetch price data.</p>
{% endif %}
</div>
</div>
<!-- News Sentiment -->
<div class="col-lg-4 col-md-12">
<div class="glass-card">
<h3 class="h5 mb-4 text-cyber"><i class="bi bi-newspaper"></i> News Sentiment</h3>
{% if analysis.sentiment %}
<div class="mb-4">
<div class="metric-label">Average Sentiment</div>
<div class="metric-value">{{ analysis.sentiment.avg_sentiment }}</div>
<div class="d-flex align-items-center gap-2">
<span class="text-muted small">Overall Bias:</span>
<span class="badge-{{ analysis.sentiment.color }} sentiment-badge text-uppercase">{{ analysis.sentiment.overall }}</span>
</div>
</div>
<div class="mt-4">
<div class="metric-label mb-3">Top Headlines</div>
{% for headline in analysis.sentiment.top_headlines %}
<div class="headline-item">
<div class="d-flex justify-content-between align-items-start gap-2">
<span class="small fw-semibold">{{ headline.title }}</span>
<span class="badge-{{ headline.label|lower|default:'secondary' }} sentiment-badge py-0 px-1" style="font-size: 0.65rem;">{{ headline.polarity }}</span>
</div>
</div>
{% endfor %}
</div>
{% else %}
<p class="text-muted">Unable to fetch news sentiment.</p>
{% endif %}
</div>
</div>
</div>
{% endif %}
</div>
<p class="hint">AppWizzy AI is collecting your requirements and applying the first changes.</p>
<p class="hint">This page will refresh automatically as the plan is implemented.</p>
<p class="runtime">
Runtime: Django <code>{{ django_version }}</code> · Python <code>{{ python_version }}</code>
— UTC <code>{{ current_time|date:"Y-m-d H:i:s" }}</code>
</p>
</div>
</main>
<footer>
Page updated: {{ current_time|date:"Y-m-d H:i:s" }} (UTC)
</footer>
</div>
<style>
.text-cyber { color: var(--cyber-blue); }
.text-neon { color: var(--neon-green); }
.state-key-item {
background: rgba(255, 255, 255, 0.03);
padding: 2px 8px;
border-radius: 4px;
border: 1px solid var(--glass-border);
}
.state-id {
font-weight: 800;
font-size: 0.8rem;
}
.state-label {
font-size: 0.7rem;
}
</style>
{% endblock %}

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core/urls.py
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from django.urls import path
from .views import home
from . import views
urlpatterns = [
path("", home, name="home"),
]
path('', views.index, name='index'),
]

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core/views.py
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import os
import platform
from django import get_version as django_version
from django.shortcuts import render
from django.utils import timezone
from .market_utils import get_market_analysis
def index(request):
symbol = request.GET.get("symbol", "AAPL").strip()
analysis = None
error = None
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()
if symbol:
try:
analysis = get_market_analysis(symbol)
if not analysis.get("markov") and not analysis.get("tech"):
error = f"Unable to fetch data for symbol: {symbol}"
analysis = None
except Exception as e:
error = f"An error occurred: {str(e)}"
analysis = None
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", ""),
"analysis": analysis,
"error": error,
"symbol": symbol
}
return render(request, "core/index.html", context)
return render(request, "core/index.html", context)

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static/css/custom.css
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/* Custom styles for the application */
body {
font-family: system-ui, -apple-system, sans-serif;
:root {
--bg-dark: #121212;
--glass-bg: rgba(255, 255, 255, 0.05);
--glass-border: rgba(255, 255, 255, 0.1);
--cyber-blue: #00d2ff;
--neon-green: #39ff14;
--vibrant-red: #ff3131;
--text-muted: #888;
--text-light: #e0e0e0;
}
body {
background-color: var(--bg-dark);
color: var(--text-light);
font-family: 'Inter', sans-serif;
margin: 0;
padding: 0;
}
h1, h2, h3, h4, .brand-font {
font-family: 'Montserrat', sans-serif;
font-weight: 700;
}
.glass-card {
background: var(--glass-bg);
backdrop-filter: blur(10px);
border: 1px solid var(--glass-border);
border-radius: 16px;
padding: 24px;
height: 100%;
transition: transform 0.3s ease, box-shadow 0.3s ease;
}
.glass-card:hover {
transform: translateY(-5px);
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.5);
border-color: var(--cyber-blue);
}
.metric-value {
font-size: 2.5rem;
font-weight: 800;
margin: 10px 0;
background: linear-gradient(45deg, var(--cyber-blue), #fff);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
}
.metric-label {
color: var(--text-muted);
font-size: 0.9rem;
text-transform: uppercase;
letter-spacing: 1px;
}
.ticker-input {
background: rgba(255, 255, 255, 0.1);
border: 2px solid var(--glass-border);
border-radius: 12px;
color: #fff;
padding: 12px 20px;
font-size: 1.2rem;
width: 300px;
transition: border-color 0.3s ease;
}
.ticker-input:focus {
outline: none;
border-color: var(--cyber-blue);
background: rgba(255, 255, 255, 0.15);
}
.btn-cyber {
background: linear-gradient(45deg, #00d2ff, #3a7bd5);
border: none;
border-radius: 12px;
color: #fff;
padding: 12px 30px;
font-weight: 600;
text-transform: uppercase;
letter-spacing: 1px;
transition: all 0.3s ease;
}
.btn-cyber:hover {
box-shadow: 0 0 20px rgba(0, 210, 255, 0.4);
transform: scale(1.05);
}
.headline-item {
padding: 12px;
border-bottom: 1px solid var(--glass-border);
font-size: 0.95rem;
}
.headline-item:last-child {
border-bottom: none;
}
.sentiment-badge {
padding: 4px 8px;
border-radius: 6px;
font-size: 0.75rem;
font-weight: 700;
}
.badge-success { background: rgba(57, 255, 20, 0.2); color: var(--neon-green); border: 1px solid var(--neon-green); }
.badge-danger { background: rgba(255, 49, 49, 0.2); color: var(--vibrant-red); border: 1px solid var(--vibrant-red); }
.badge-secondary { background: rgba(136, 136, 136, 0.2); color: var(--text-muted); border: 1px solid var(--text-muted); }
.hero-gradient {
background: radial-gradient(circle at top right, rgba(0, 210, 255, 0.1), transparent);
min-height: 100vh;
}