$WULF
Trade-Ideas alert history 307 alerts 2022-03-14 → 2025-02-14
🏢 Company Profile
Practice trading WULF on historical setups — browse all patterns across all tickers →
Playable WULF setups
Historical WULF setups in the simulator. Click to see chart, edge stats, and community discussion.
📈 Performance by Timeframe
5MIN
15MIN
30MIN
60MIN
EOD (End of Day)
🚀 Max Favorable / Adverse Excursion (MFE/MAE)
Institutional-grade metrics showing the maximum profit potential and risk for each alert.
📈 MFE (Max Profit Potential)
On average, WULF alerts reach +5.71% profit potential within 129 minutes.
📉 MAE (Max Drawdown Risk)
Before reaching MFE, expect an average drawdown of 2.58%.
⚖️ Risk/Reward Ratio
Excellent risk/reward - potential gain is 2.21x the typical drawdown.
💡 Trading Insight: Based on 307 alerts, WULF typically reaches +5.71% profit before pulling back. Consider setting profit targets around 4.6% to capture most of the move.
🌅 Premarket Gap Analysis (9:25 → 9:30)
🏭 Sector Comparison: FINANCE SERVICES
How WULF compares to 51 other tickers in the same sector.
📋 Last 20 Alerts
Historical WULF alerts with performance metrics calculated from 1-minute price data. Each row shows the actual price movement at different timeframes after the alert.
| Date | Time | Price | 5min | 15min | 30min | 60min | EOD | MFE | MAE | Gap | Result |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-02-14 | 09:27:33 | $4.92 | -0.20% | +0.23% | -0.91% | -0.10% | -1.02% | +1.83% | -1.12% | -0.41% | LOSS |
| 2025-02-13 | 09:27:26 | $4.88 | -3.18% | -3.29% | -3.48% | -2.29% | +0.20% | +0.20% | -4.51% | -0.51% | LOSS |
| 2025-02-12 | 09:29:16 | $4.75 | -1.37% | -0.84% | +1.29% | +1.16% | +2.11% | +7.79% | -2.32% | -1.16% | LOSS |
| 2025-02-11 | 09:26:37 | $5.1 | -1.67% | -0.98% | +1.27% | -0.29% | -6.67% | +1.37% | -2.35% | -0.59% | LOSS |
| 2025-02-10 | 09:26:30 | $5.15 | -2.33% | -1.51% | -1.84% | -1.84% | -0.39% | +3.11% | -3.30% | -1.36% | LOSS |
| 2025-02-07 | 09:29:17 | $5.34 | +3.28% | +1.50% | +0.19% | +0.19% | -5.81% | +4.87% | +0.19% | +0.37% | WIN |
| 2025-02-06 | 09:26:40 | $5.15 | +2.23% | -1.10% | -0.39% | +1.84% | - | +4.27% | -0.39% | - | WIN |
| 2025-02-05 | 09:27:23 | $5.18 | +1.35% | +0.29% | -0.74% | +0.06% | -2.12% | +2.12% | +0.19% | +0.39% | WIN |
| 2025-02-04 | 09:27:01 | $4.97 | +2.31% | +3.72% | +2.92% | +2.41% | +4.23% | +4.53% | -0.40% | +0.60% | WIN |
| 2025-02-03 | 09:27:28 | $4.23 | +6.74% | +7.68% | +7.09% | +15.13% | +18.44% | +19.86% | +0.47% | +1.47% | WIN |
| 2025-01-31 | 09:29:48 | $5.11 | +1.17% | +0.59% | -0.78% | +0.20% | -6.65% | +2.74% | -2.35% | -0.20% | WIN |
| 2025-01-30 | 09:26:21 | $4.84 | +1.03% | +3.29% | +3.77% | +0.52% | +3.51% | +7.02% | -1.24% | -0.21% | WIN |
| 2025-01-29 | 09:27:56 | $4.62 | +0.65% | -1.19% | -0.75% | +0.61% | +2.38% | +4.76% | -3.68% | -0.43% | WIN |
| 2025-01-28 | 09:25:00 | $4.61 | +0.54% | -4.56% | -3.15% | -3.36% | +0.65% | +4.56% | +0.43% | +2.82% | WIN |
| 2025-01-27 | 09:27:10 | $5.45 | -0.04% | -2.80% | -1.28% | -4.68% | -18.72% | +1.28% | -2.94% | +0.73% | LOSS |
| 2025-01-24 | 09:28:33 | $6.48 | -1.39% | -1.54% | -0.46% | +1.39% | -2.55% | +7.72% | -2.62% | +0.31% | LOSS |
| 2025-01-23 | 09:29:08 | $6.07 | +3.54% | +4.45% | +5.68% | +3.79% | +1.81% | +11.20% | -0.49% | -0.49% | WIN |
| 2025-01-22 | 09:29:13 | $5.95 | -1.01% | -1.01% | -0.50% | -2.44% | +4.71% | +6.72% | -5.71% | +0.08% | LOSS |
| 2025-01-21 | 09:26:03 | $6.44 | +1.24% | -5.12% | -4.36% | -6.06% | -7.45% | +1.55% | -0.77% | +0.16% | WIN |
| 2025-01-17 | 09:27:43 | $6.32 | -1.42% | -3.80% | -1.74% | -3.72% | +1.27% | +5.38% | -4.27% | -1.58% | LOSS |
Table Metrics Explained:
- 5min/15min/30min/60min/EOD: Price change at each timeframe (calculated from real minute-by-minute data)
- MFE: Maximum Favorable Excursion - highest profit potential reached during the day
- MAE: Maximum Adverse Excursion - worst drawdown experienced before reaching MFE
- Gap: Premarket price gap from 9:25 AM to 9:30 AM market open
- Result: WIN if 5min change > 0%, LOSS otherwise
⚠ WULF Shows Negative Expectancy
With 45.0% win rate and -0.31% average gain, WULF alerts have historically faded. Use the app to find specific filters that might reverse this pattern, or consider WULF for short-selling strategies.
📉 Turn Negative Expectancy Positive →Why Analyze WULF with FILTRIX?
🛡️ Realistic Entry Simulation
We don't inflate stats. Our analysis tracks only the first alert of the day for WULF. This simulates a true "Gap & Go" entry at pre-market hours (9:25-9:30 AM), avoiding the trap of chasing a stock that has already extended.
💰 Max Potential (MFE) Analysis
How much is left in the move? On winning days, WULF historically offers an average upside of +5.71% intraday. Our data helps you distinguish between a quick scalp and a runner.
📊 WULF Momentum Personality
With a baseline win rate of 45.0%, WULF shows negative momentum - the stock tends to fade after alerts. This pattern suggests WULF may be better suited for contrarian strategies or avoiding altogether.
⏱️ Optimized Exit Timing
⚠️ Caution Advised: WULF shows negative expectancy across all tested intraday timeframes (Best: EOD (End of Day) at -0.31%). This suggests WULF is prone to fading after the open, making it a potential candidate for short-selling or quick scalps only.