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https://github.com/shawnkim1997/All-in-one-Financial-Analysis.git
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shawnkim1997
d337c63976
Architecture (3,909-line monolith → 28 focused modules, all < 300 lines):
- config/: constants.py (company lists, row maps, Damodaran baselines), theme.py (CSS/HTML)
- utils/: prefs, formatting, ticker, dcf, charts, ui_helpers
- data/: sec_parser, sec_fetcher, sec_downloader, financials, fundamentals,
valuation, ratios, scores, scores_ai, market
- ai/: gemini_core, gemini_sec, gemini_insights
- views/: sidebar, tab1_quant, tab1_ai, tab1_filings, tab2_dcf,
tab3_comps, tab4_news, tab5_markets, tab6_crypto, tab7_technical
- app.py: thin orchestrator (~118 lines)
- Strict unidirectional dependency graph (no circular imports)
- All @st.cache_data TTLs and st.session_state keys preserved identically
SEC filing viewer fix:
- Rebuilt EDGAR fetch chain: company_tickers.json → CIK → submissions API
→ filings.recent.primaryDocument[] (replaces deprecated directory.item)
- Filing type selectbox (10-K, 10-Q, 8-K, 20-F, 6-K) connected to backend
- Native HTML rendered via streamlit.components.v1.html() with CSS reset
- Errors surfaced explicitly with st.error()
- DART direct links restored for Korean-listed companies
.gitignore: data/ → data/*.json + data/*.html (preserve Python modules)
README: full rewrite for master's portfolio — 7-tab layout, architecture
diagram, modular structure tree, technical challenges, design rationale
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
78 lines
5.2 KiB
Python
78 lines
5.2 KiB
Python
import pandas as pd
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import streamlit as st
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from config.constants import MARKET_OPTIONS
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from utils.ticker import get_global_ticker
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from data.market import get_technical_indicators, get_risk_analysis
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def render_tab7(ticker):
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st.subheader("Technical Setup & Risk Analysis")
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market_t7 = st.session_state.get("market") or MARKET_OPTIONS[0]
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quant_ticker_t7 = get_global_ticker(ticker, market_t7) if ticker else ""
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st.markdown("#### Technical Indicators")
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tech = get_technical_indicators(quant_ticker_t7) if quant_ticker_t7 else {}
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if tech.get("current_price"):
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tc1, tc2, tc3, tc4 = st.columns(4)
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price_t7 = tech["current_price"]
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with tc1:
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rsi = tech.get("rsi_14")
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rsi_color = "#F87171" if rsi and rsi > 70 else ("#34D399" if rsi and rsi < 30 else "#FBBF24")
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rsi_label = "Overbought" if rsi and rsi > 70 else ("Oversold" if rsi and rsi < 30 else "Neutral")
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st.markdown(f'<div class="stat-card"><div class="stat-label">RSI (14)</div><div class="stat-value" style="color:{rsi_color};">{rsi if rsi else "N/A"}</div><div style="color:{rsi_color};font-size:0.75rem;">{rsi_label}</div></div>', unsafe_allow_html=True)
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with tc2:
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sma50 = tech.get("sma_50")
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above_50 = price_t7 > sma50 if sma50 else None
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st.markdown(f'<div class="stat-card"><div class="stat-label">SMA (50)</div><div class="stat-value">{"${:,.2f}".format(sma50) if sma50 else "N/A"}</div><div class="stat-delta {"delta-up" if above_50 else "delta-down"}">{"Above" if above_50 else "Below"} SMA50</div></div>', unsafe_allow_html=True)
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with tc3:
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sma200 = tech.get("sma_200")
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above_200 = price_t7 > sma200 if sma200 else None
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st.markdown(f'<div class="stat-card"><div class="stat-label">SMA (200)</div><div class="stat-value">{"${:,.2f}".format(sma200) if sma200 else "N/A"}</div><div class="stat-delta {"delta-up" if above_200 else "delta-down"}">{"Above" if above_200 else "Below"} SMA200</div></div>', unsafe_allow_html=True)
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with tc4:
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h52 = tech.get("52w_high", 0)
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l52 = tech.get("52w_low", 0)
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st.markdown(f'<div class="stat-card"><div class="stat-label">52W Range</div><div class="stat-value">${l52:,.2f} \u2014 ${h52:,.2f}</div><div style="color:#6B7280;font-size:0.75rem;">Current: ${price_t7:,.2f}</div></div>', unsafe_allow_html=True)
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st.markdown("---")
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sr1, sr2 = st.columns(2)
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with sr1:
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st.markdown(f'<div class="stat-card"><div class="stat-label">Support (20D Low)</div><div class="stat-value delta-up">${tech.get("support", 0):,.2f}</div></div>', unsafe_allow_html=True)
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with sr2:
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st.markdown(f'<div class="stat-card"><div class="stat-label">Resistance (20D High)</div><div class="stat-value delta-down">${tech.get("resistance", 0):,.2f}</div></div>', unsafe_allow_html=True)
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sma50_v = tech.get("sma_50")
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sma200_v = tech.get("sma_200")
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if sma50_v and sma200_v:
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if sma50_v > sma200_v:
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st.markdown('<div style="background:rgba(52,211,153,0.1);border:1px solid rgba(52,211,153,0.3);border-radius:8px;padding:12px;text-align:center;color:#34D399;font-weight:600;margin-top:12px;">Golden Cross: SMA50 > SMA200 \u2014 Bullish Signal</div>', unsafe_allow_html=True)
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else:
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st.markdown('<div style="background:rgba(248,113,113,0.1);border:1px solid rgba(248,113,113,0.3);border-radius:8px;padding:12px;text-align:center;color:#F87171;font-weight:600;margin-top:12px;">Death Cross: SMA50 < SMA200 \u2014 Bearish Signal</div>', unsafe_allow_html=True)
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else:
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st.caption("Technical data not available. Enter a valid ticker.")
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st.markdown("---")
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st.markdown("#### Risk Analysis Matrix")
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risks = get_risk_analysis(quant_ticker_t7) if quant_ticker_t7 else []
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if risks:
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risk_rows = []
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for r in risks:
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risk_rows.append({"Risk Factor": r["risk"], "Severity": r["severity"], "Est. EPS Impact": r["eps_impact"], "Description": r["description"]})
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df_risks = pd.DataFrame(risk_rows)
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def style_severity(val):
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if val == "High":
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return "background-color: rgba(248,113,113,0.2); color: #F87171; font-weight: 700"
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elif val == "Medium":
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return "background-color: rgba(251,191,36,0.2); color: #FBBF24; font-weight: 700"
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return "background-color: rgba(52,211,153,0.2); color: #34D399; font-weight: 700"
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styled_risks = df_risks.style.map(style_severity, subset=["Severity"])
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st.dataframe(styled_risks, use_container_width=True, hide_index=True)
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total_impact = sum(float(r["eps_impact"].replace("$", "").replace("-", "")) for r in risks)
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st.markdown(f"""
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<div style="background:rgba(248,113,113,0.05);border:1px solid rgba(248,113,113,0.2);border-radius:8px;padding:12px;text-align:center;">
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<span style="color:#9CA3AF;font-size:0.8rem;">Cumulative Worst-Case EPS Impact:</span>
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<span style="color:#F87171;font-family:'JetBrains Mono',monospace;font-size:1.1rem;font-weight:700;margin-left:8px;">-${total_impact:.2f}</span>
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</div>
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""", unsafe_allow_html=True)
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else:
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st.caption("Risk analysis requires a valid ticker with financial data.")
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