Progress Dashboard - IgorGanapolsky/trading GitHub Wiki
đ World-Class Trading Dashboard
Last Updated: 2026-02-07 03:07 PM ET Auto-Updated: Daily via GitHub Actions Dashboard Version: Enhanced World-Class (v2.0)
đ° Account Summary (All-Time)
| Account | Equity | Starting | Total P/L | Total % |
|---|---|---|---|---|
| đ´ LIVE (Brokerage) | $20.00 | $20.00 | $+0.00 | +0.00% |
| đ PAPER (R&D) | $101,439.99 | $30,000.00 | $+71,439.99 | +238.13% |
â ī¸ LIVE account = Real money. PAPER account = R&D simulation for testing strategies.
đ Today's Performance
Date: 2026-02-07 (Saturday)
đ´ LIVE Account (Real Money)
| Metric | Value |
|---|---|
| Equity | $20.00 |
| Total P/L | $+0.00 (+0.00%) |
| Today's P/L | $+0.00 (+0.00%) |
| Status | â¸ī¸ Accumulation Phase |
Live account is building capital through $25/day deposits. Target: $200 before first options trade.
đ PAPER Account (R&D)
| Metric | Value |
|---|---|
| Equity | $101,439.99 |
| Total P/L | $+71,439.99 (+238.13%) |
| Today's P/L | $+0.00 (+0.00%) |
| Win Rate | 56% |
| Trades Today | 0 |
Funnel Activity: 0 orders, 0 stops
đ Recent Trades (Last 14 Days)
| Date | Symbol | Action | Qty/Amount | Price | Status | Account |
|---|---|---|---|---|---|---|
| 2026-02-06 | SPY260220P00660000 | ORDERSIDE.BUY | 1 | Market | â FILLED | đ Paper |
| 2026-02-06 | SPY260220P00655000 | ORDERSIDE.SELL | 1 | Market | â FILLED | đ Paper |
| 2026-02-06 | SPY260220C00725000 | ORDERSIDE.SELL | 1 | Market | â FILLED | đ Paper |
| 2026-02-06 | SPY260220C00720000 | ORDERSIDE.BUY | 1 | Market | â FILLED | đ Paper |
| 2026-02-04 | SPY260313C00725000 | ORDERSIDE.SELL | 1 | Market | â FILLED | đ Paper |
| 2026-02-04 | SPY260313P00650000 | ORDERSIDE.BUY | 1 | Market | â FILLED | đ Paper |
| 2026-02-04 | SPY260313C00720000 | ORDERSIDE.BUY | 1 | Market | â FILLED | đ Paper |
| 2026-02-04 | SPY260313P00645000 | ORDERSIDE.SELL | 1 | Market | â FILLED | đ Paper |
| 2026-02-03 | SPY260313C00720000 | ORDERSIDE.SELL | 1 | Market | â FILLED | đ Paper |
| 2026-02-03 | SPY260313C00725000 | ORDERSIDE.BUY | 1 | Market | â FILLED | đ Paper |
| 2026-02-03 | SPY260313P00650000 | ORDERSIDE.SELL | 1 | Market | â FILLED | đ Paper |
| 2026-02-03 | SPY260313P00645000 | ORDERSIDE.BUY | 1 | Market | â FILLED | đ Paper |
| 2026-02-03 | SPY | ORDERSIDE.SELL | 36.477144543 | Market | â FILLED | đ Paper |
| 2026-02-03 | AAPL260220P00430000 | ORDERSIDE.BUY | 1 | Market | â FILLED | đ Paper |
| 2026-02-03 | CCI | ORDERSIDE.SELL | 0.038314176 | Market | â FILLED | đ Paper |
đ Paper = R&D simulation (fake money) | đ´ LIVE = Real brokerage (real money)
â ī¸ IMPORTANT: Live account is in accumulation phase ($30/$200 target) - no live trades until sufficient capital. All trades shown above are paper/simulation trades for R&D purposes.
đ¯ North Star Goal
Target: $6,000/month after-tax = Financial Independence
| Metric | Current | Target | Progress |
|---|---|---|---|
| Average Daily Profit | $0.00/day | $200.00/day (after-tax) | 0.00% |
| Total P/L | $+0.00 (+0.00%) | TBD | â ī¸ |
| Win Rate | 55.6% | >80% | â ī¸ |
Progress Bar: ââââââââââââââââââââ (0.00%)
Assessment: â ī¸ R&D PHASE - Learning, not earning yet
âšī¸ Note: â ī¸ warning icons indicate metrics that haven't reached targets yet. This is expected during R&D phase while building capital. â indicates target met.
đĄ Financial Independence Progress & Capital Scaling Plan
Profit target analysis not available. Run python scripts/generate_profit_target_report.py to generate detailed capital scaling recommendations.
đĄī¸ Comprehensive Risk Metrics
Core Risk Metrics
| Metric | Value | Target | Status |
|---|---|---|---|
| Max Drawdown | 0.31% | <10% | â |
| Current Drawdown | 0.00% | <5% | â |
| Ulcer Index | 0.00 | <5.0 | â |
| Sharpe Ratio | 0.34 | >1.0 | â ī¸ |
| Sortino Ratio | 0.00 | >1.5 | â ī¸ |
| Calmar Ratio | 645698.62 | >1.0 | â |
| Volatility (Annualized) | 37034.75% | <20% | â ī¸ |
| VaR (95%) | 3849.40% | <3% | â ī¸ |
| VaR (99%) | 5435.82% | <5% | â ī¸ |
| CVaR (95%) | 0.00% | <5% | â |
| Kelly Fraction | 0.00% | 5-10% | â ī¸ |
| Margin Usage | 0.00% | <50% | â |
| Leverage | 1.00x | <2.0x | â |
Risk Exposure by Symbol
| Symbol | Exposure % | P/L | Trades | Win Rate |
|---|---|---|---|---|
| No symbol data available | - | - | - | - |
đ Performance Attribution
By Strategy/Tier
| Strategy | P/L | Trades | Avg P/L per Trade |
|---|---|---|---|
| No strategy data available | - | - | - |
By Time of Day
| Time Period | P/L | Trades | Avg P/L per Trade |
|---|---|---|---|
| No time-of-day data available | - | - | - |
Best Trading Time: N/A Worst Trading Time: N/A
đ Visualizations
Equity Curve Visualization
Charts will be generated when matplotlib is available in the environment. Data available: 12 data points.
⥠Execution Metrics
| Metric | Value | Target | Status |
|---|---|---|---|
| Avg Slippage | 0.000% | <0.5% | â |
| Fill Quality | 0.0/100 | >90 | â ī¸ |
| Order Success Rate | 0.0% | >95% | â ī¸ |
| Order Reject Rate | 0.0% | <5% | â |
| Avg Fill Time | 0 ms | <200ms | â |
| Broker Latency | 0 ms | <100ms | â |
đ Data Completeness & Quality
| Metric | Value | Target | Status |
|---|---|---|---|
| Performance Log Completeness | 12.0% | >95% | â ī¸ |
| Missing Dates | 0 | 0 | â |
| Data Freshness | 999 days old | <1 day | â ī¸ |
| Missing Candle % | 0.00% | <1% | â |
| Data Sources | Alpaca | Multiple | â ī¸ |
| Model Version | 2.0 | Latest | â |
đŽ Predictive Analytics
Monte Carlo Forecast (30-Day)
| Metric | Value |
|---|---|
| Expected P/L (30d) | $+0.00 |
| Forecast Mean | $0.00 |
| Forecast Std Dev | $0.00 |
| 5th Percentile | $0.00 |
| 95th Percentile | $0.00 |
| Risk of Ruin | 0.00% |
| Forecasted Drawdown | 0.00% |
| Strategy Decay Detected | â NO |
đ Benchmark Comparison (vs S&P 500)
| Metric | Portfolio | Benchmark | Difference | Status |
|---|---|---|---|---|
| Total Return | +0.00% | +0.00% | +0.00% | â ī¸ Underperforming |
| Alpha | +0.00% | - | - | â ī¸ Negative Alpha |
| Beta | 1.00 | 1.0 | +0.00 | Lower Risk |
| Data Available | â ī¸ Limited | - | - | - |
đ¤ AI-Generated Insights
Daily Summary
Dashboard generated without AI insights (dependencies not available).
Strategy Health Score
đ DATA ONLY (50/100)
Trade Analysis
No trade analysis available.
Anomalies Detected
â No anomalies detected.
Recommendations
Run full dashboard generation for AI insights.
đ Market Regime Classification
| Metric | Value |
|---|---|
| Current Regime | UNKNOWN |
| Regime Type | UNKNOWN |
| Confidence | 0.0/1.0 |
| Trend Strength | 0.00 |
| Volatility Regime | NORMAL |
| Avg Daily Return | +0.00% |
| Volatility | 0.00% |
đ° Financial Performance Summary
| Metric | Value |
|---|---|
| Starting Balance | $20.00 |
| Current Equity | $20.00 |
| Total P/L | $+0.00 (+0.00%) |
| Average Daily Profit | $+0.00 |
| Total Trades | 18 (18 closed, 0 open) |
| Win Rate | 55.6% |
| Trades Today | 0 |
đ 90-Day R&D Challenge Progress
Current: Day 102 of 90 (113.3% complete) Phase: R&D Phase - Month 3 (Days 61-90) Days Remaining: -12
Progress Bar: ââââââââââââââââââââââ (113.3%)
đ¨ Risk Guardrails & Safety
| Guardrail | Current | Limit | Status |
|---|---|---|---|
| Max Drawdown | 0.31% | <10% | â |
| Sharpe Ratio | 0.34 | >1.0 | â ī¸ |
| Volatility | 37034.75% | <20% | â ī¸ |
đ Notes
Dashboard Features:
- â Comprehensive risk metrics (Sharpe, Sortino, VaR, Conditional VaR, Kelly fraction)
- â Performance attribution by symbol, strategy, and time-of-day
- â Visualizations (equity curve, drawdown, P/L charts)
- â AI-generated insights and recommendations
- â Predictive analytics (Monte Carlo forecasting, risk-of-ruin)
- â Execution metrics (slippage, fill quality, latency)
- â Data completeness tracking
- â Benchmark comparison vs S&P 500
- â Market regime classification
Current Strategy:
- MODE: đ STANDARD (Weekday)
- Strategy: Momentum (MACD + RSI + Volume)
- Allocation: 70% Core ETFs (SPY/QQQ/VOO), 30% Growth (NVDA/GOOGL/AMZN)
- Daily Investment: $25/day fixed
đ° Options Income (Yield Generation)
- âšī¸ Strategy active (Monitoring for 100+ share positions)
đ¤ AI & ML System Status
RL Training Status
| Status | â ī¸ No training data available | | Vertex AI Console | View Jobs â |
LangSmith Monitoring
| Status | â ī¸ LangSmith monitor unavailable | | Project Dashboard | trading-rl-training â |
đ° Tax Optimization & Compliance
â ī¸ CRITICAL FOR LIVE TRADING: Tax implications can significantly impact net returns. This section tracks capital gains, day trading rules, and tax optimization opportunities.
Pattern Day Trader (PDT) Rule Status
â Compliant
| Metric | Value | Status |
|---|---|---|
| Day Trades (Last 5 Days) | 0 | â |
| PDT Threshold | 4+ day trades in 5 days | â SAFE |
| Minimum Equity Required | $25,000 | â |
| Current Equity | ${current_equity:,.2f} | â |
PDT Rule Explanation: If you make 4+ day trades (same-day entry/exit) in 5 business days, you must maintain $25,000 minimum equity. Violations can result in account restrictions.
Tax Impact Analysis
| Metric | Value |
|---|---|
| Total Closed Trades | 0 |
| Day Trades | 0 |
| Short-Term Trades | 0 |
| Long-Term Trades | 0 |
| Wash Sales | 0 |
| Gross Return | $+0.00 |
| Estimated Tax Liability | $+0.00 |
| After-Tax Return | $+0.00 |
| Tax Efficiency | 100.0% |
Tax Rates:
- Short-Term Capital Gains (< 1 year): 37% (taxed as ordinary income)
- Long-Term Capital Gains (âĨ 1 year): 20% (preferred rate)
Key Tax Strategies:
- Hold positions >1 year for long-term capital gains rate (20% vs 37%)
- Avoid wash sales: Don't repurchase same security within 30 days of selling at a loss
- Tax-loss harvesting: Realize losses to offset gains before year-end
- Mark-to-Market Election (Section 475(f)): Consider for active traders (treats trading as business income, exempts wash sale rule)
Tax Optimization Recommendations
â No immediate tax optimization recommendations
Important Notes:
- Paper Trading: Tax calculations are estimates. Actual tax liability depends on your tax bracket and state.
- Wash Sale Rule: Losses cannot be deducted if you repurchase the same security within 30 days before or after the sale.
- Capital Loss Deduction: Maximum $3,000 capital loss deduction per year (excess carries forward).
- Day Trading: Frequent day trading may trigger Pattern Day Trader (PDT) rules requiring $25k minimum equity.
- Consult Tax Professional: This is not tax advice. Consult a qualified tax professional before live trading.
Integration with RL Pipeline: Tax-aware reward function penalizes short-term gains and rewards long-term holdings to optimize after-tax returns.
Verification Status
| Metric | Status |
|---|---|
| Verification Status | â All Passed (0/0) |
Verification Details
Run verification tests to see detailed results.
How Verification Works:
- â
Checks
system_state.jsonexists and is valid - â Connects to Alpaca API to get actual positions (GROUND TRUTH)
- â Compares Alpaca positions with our state tracking
- â Detects mismatches (trades executed but not tracked)
Critical Test: If positions exist in Alpaca but state shows 0 trades, this indicates a state tracking bug (like the one we fixed).
đ External Dashboards & Monitoring
LangSmith Observability
- LangSmith Dashboard - Main dashboard
- Trading RL Training Project - RL training runs and traces
Project ID:
04fa554e-f155-4039-bb7f-e866f082103b - All Projects - View all LangSmith projects
Vertex AI Cloud RL
- Vertex AI Console - Main Vertex AI dashboard
- Training Jobs - View RL training jobs
- Models - Trained models
- Experiments - Training experiments
Project: email-outreach-ai-460404 | Location: us-central1
This dashboard is automatically updated daily by GitHub Actions after trading execution. World-class metrics powered by comprehensive risk & performance analytics.