Simulated with $10,000 starting capital
PHASE 0: RANGING
🔄 Transitioning
Signals generated 2026-05-06 10:55:31

No strong directional signal. Monitor for regime shift.

Fear & Greed
46
Fear
VIX
17.0
NORMAL
10Y Yield
4.45%
ELEVATED
Yield Curve
+0.51%
STEEP
HY Spread
2.77
CALM
🌍 Kp Index
🔴 1.7
Storm
⛈️ 4 storm days in 7d
RSI(14)
21.5 oversold
20d Trend
-29.6%
5d Trend
-14.4%
EMA20 Dist
-18.7%
ATR%
7.0%
Range Pos
1%
Bounce Ratio
0.8×
Green/Red 10d
3/7
🌍 Geophysical Tilt: Storm regime: volume-spike & macro strategies historically +3% differential. Sentiment strategies struggle.

Strategy Score Scored May 6, 2026

38
Lifetime
Confidence: 100%

Quality Components

Return-to-Risk
14.2/35
Total Return
16.2/25
Win Rate
0.2/15
Profit Factor
1.8/15
Consistency
5.5/10
Raw Quality 38.0/100
× Confidence 1.00 = 37.8

30-Day Momentum

26
+3.1%
30d Return
40%
Win Rate
15
Trades
1.2×
Profit Factor
Quality: 25.6 Conf: 1.00×
Declining (-12 vs lifetime)
Momentum below PRO threshold (40+)
How Scoring Works: Score = Quality × Confidence. Quality (0-100) rates absolute performance across 5 dimensions: Return-to-Risk (35pts), Total Return (25pts), Win Rate (15pts), Profit Factor (15pts), Consistency (10pts). Confidence (100%) adjusts for trade count and freshness — more trades + recent activity = higher confidence. Momentum uses the same model recalibrated for a 30-day trailing window. PRO status requires both Lifetime Score ≥ 70 and Momentum ≥ 40.

Data Transparency (Last Month)

Hybrid data: Historical backfill + Yahoo/Alpaca (live) - verifiable market data
Data Source
Yahoo + Alpaca
Candles in Period
1,734
Timeframe
5-Minute Bars
Period Range
2026-04-06 → 2026-05-06
Trading Days
23 days
Data Gaps
None detected
Brokerage: Alpaca Markets

✓ Tradeable on Alpaca
Stocks: Commission-free • Market hours: 9:30 AM - 4:00 PM ET

To execute these strategies, you'll need an Alpaca brokerage account.

Performance Summary (Last Month)

Period Start Capital
$18,264.45
Current Value
$18,824.22
Period P&L
$559.78
Max Drawdown
-21.7%
Sharpe Ratio
0.11

Trade Statistics (Last Month)

Trades in Period
15
Winners / Losers
6 / 9
Best Trade
+4.42%
Worst Trade
-3.40%
Avg Trade Return
+0.23%
Avg Hold Time
12.3h

💰 Trading Cost Analysis (Alpaca Fees) (Last Month)

Asset Type
📈 Stock
Fee Rate
FREE
Total Volume
$551,763.73
Estimated Fees
$0.00
Gross P&L
$559.78
Net P&L (after fees)
$559.78
Gross Return
+3.06%
Net Return (after fees)
+3.06%

✅ Stocks: Alpaca offers commission-free stock trading. No fees on this symbol!
Actual fees may vary based on your volume tier. See Alpaca pricing.

Equity Curve — Your Money Over Time

Each dot is a completed trade. Green = profitable trade, Red = losing trade. Hover for details.

The dashed blue line shows your starting $10,000. Points above = profit, points below = loss.

🖱️ Scroll to zoom • Click & drag to pan • Double-click to reset

Price Action + Equity Overlay

📈 PLTR Price (left axis) vs 📊 Your Equity (right axis). See how the stock price moved while you held positions.

🖱️ Scroll to zoom • Click & drag to pan • Double-click to reset
📊 Price data: 23 trading days 🎯 Trade markers show BUY (▲) and SELL (▼) points

Trade History (Last Month - 15 trades)

How to Read This Table

Each row is one complete trade cycle (BUY → HOLD → SELL). Nina Micro had $18,264.45 at period start. When he sees a buy signal, he uses all available cash to buy shares. He holds until hitting his +5% target, -10% stop loss, or 30-day limit. After selling, the profit/loss is added to his balance, and the next trade uses that new balance.

# Action Date & Time Price/Share Shares Total Value Balance After Result Exit Reason
1 🟢 BUY Apr 6, 2026 10:40am ET $148.61 122 $18,130.77
🔴 SELL Apr 6, 2026 1:10pm ET $147.49 122 $17,993.17 $18,126.84 $-137.60
(-0.8%)
🛑 -10% Stop
2.5h held
2 🟢 BUY Apr 7, 2026 1:10pm ET $148.22 122 $18,082.72
🔴 SELL Apr 8, 2026 9:30am ET $154.76 122 $18,881.33 $18,925.45 +$798.61
(+4.4%)
🎯 +5% Target
20.3h held
3 🟢 BUY Apr 9, 2026 9:30am ET $139.10 136 $18,916.92
🔴 SELL Apr 9, 2026 9:35am ET $134.37 136 $18,274.32 $18,282.85 $-642.60
(-3.4%)
🛑 -10% Stop
5m held
4 🟢 BUY Apr 10, 2026 9:35am ET $125.92 145 $18,258.41
🔴 SELL Apr 10, 2026 9:50am ET $123.77 145 $17,946.72 $17,971.16 $-311.69
(-1.7%)
🛑 -10% Stop
15m held
5 🟢 BUY Apr 13, 2026 12:45pm ET $132.91 135 $17,942.85
🔴 SELL Apr 13, 2026 3:10pm ET $131.89 135 $17,805.15 $17,833.46 $-137.70
(-0.8%)
🛑 -10% Stop
2.4h held
6 🟢 BUY Apr 15, 2026 1:00pm ET $139.40 127 $17,703.80
🔴 SELL Apr 15, 2026 2:10pm ET $141.61 127 $17,984.47 $18,114.13 +$280.67
(+1.6%)
🎯 +5% Target
1.2h held
7 🟢 BUY Apr 16, 2026 2:10pm ET $141.82 127 $18,010.51
🔴 SELL Apr 17, 2026 9:30am ET $145.75 127 $18,510.25 $18,613.87 +$499.74
(+2.8%)
🎯 +5% Target
19.3h held
8 🟢 BUY Apr 20, 2026 9:30am ET $145.20 128 $18,585.60
🔴 SELL Apr 21, 2026 9:55am ET $147.82 128 $18,920.96 $18,949.23 +$335.36
(+1.8%)
🎯 +5% Target
1d held
9 🟢 BUY Apr 22, 2026 11:40am ET $150.98 125 $18,872.51
🔴 SELL Apr 23, 2026 9:30am ET $149.73 125 $18,716.25 $18,792.97 $-156.26
(-0.8%)
🛑 -10% Stop
21.8h held
10 🟢 BUY Apr 24, 2026 9:55am ET $140.64 133 $18,705.12
🔴 SELL Apr 24, 2026 10:30am ET $139.32 133 $18,529.57 $18,617.42 $-175.55
(-0.9%)
🛑 -10% Stop
35m held
11 🟢 BUY Apr 27, 2026 11:35am ET $143.78 129 $18,547.88
🔴 SELL Apr 27, 2026 3:10pm ET $142.57 129 $18,391.53 $18,461.07 $-156.35
(-0.8%)
🛑 -10% Stop
3.6h held
12 🟢 BUY Apr 28, 2026 3:10pm ET $141.58 130 $18,405.24
🔴 SELL Apr 29, 2026 9:30am ET $139.03 130 $18,073.90 $18,129.73 $-331.34
(-1.8%)
🛑 -10% Stop
18.3h held
13 🟢 BUY Apr 30, 2026 9:55am ET $136.70 132 $18,044.40
🔴 SELL Apr 30, 2026 10:45am ET $139.50 132 $18,414.42 $18,499.75 +$370.02
(+2.1%)
🎯 +5% Target
50m held
14 🟢 BUY May 1, 2026 12:45pm ET $143.48 128 $18,365.44
🔴 SELL May 4, 2026 9:30am ET $147.80 128 $18,918.39 $19,052.70 +$552.95
(+3.0%)
🎯 +5% Target
2.9d held
15 🟢 BUY May 5, 2026 9:30am ET $139.93 136 $19,029.80
🔴 SELL May 5, 2026 9:55am ET $138.24 136 $18,801.32 $18,824.22 $-228.48
(-1.2%)
🛑 -10% Stop
25m held
Started with: $10,000.00
Total Invested: $10,000.00
Ended with: $18,824.22
Net Profit/Loss: +$8,824.22
Total Return: +88.24%
Back to Nina Micro