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Ticker Report — Active Last signal ·

$RNG

Trade-Ideas alerts 47.4% at EOD n=19 2022-02-09 → 2026-07-24

⚠ SMALL SAMPLE · 19 alerts only. Statistics may have high variance — interpret with caution.

🏢 Company Profile

📍 NYSE 📅 IPO: Sep 27, 2013 🔗 www.ringcentral.com
💰 Market Cap: $6.54B 👥 Employees: 7,378
RingCentral is a unified communications as a service, or UCaaS, provider. Its software helps users communicate and collaborate via voice, video, and messaging across all device types and all from one platform. RingCentral helps customers modernize and move from legacy on-premises systems to modern, cloud-based systems. Beyond its core RingCentral MVP solution, RingCentral also offers a cloud-based contact center solution, a stand-alone video meetings solution, and webinars.
Total alerts
19
Trade-Ideas signal history
Win rate · EOD
47.4%
Best timeframe baseline
Avg gain · EOD
+1.05%
Per-alert expectancy
Avg MFE
+5.07%
Max potential excursion

Practice trading RNG on historical setups — browse all patterns across all tickers →

📈 Performance by Timeframe

5MIN

Win Rate: 42.1%
Avg Gain: -0.41%
Avg Winner: +1.47%
Avg Loser: -1.78%
Best: +3.80%
Worst: -4.19%
Trades: 8/11

15MIN

Win Rate: 42.1%
Avg Gain: +1.05%
Avg Winner: +5.76%
Avg Loser: -2.37%
Best: +18.42%
Worst: -5.85%
Trades: 8/11

30MIN

Win Rate: 42.1%
Avg Gain: +1.54%
Avg Winner: +7.52%
Avg Loser: -2.80%
Best: +21.33%
Worst: -6.80%
Trades: 8/11

60MIN

Win Rate: 42.1%
Avg Gain: +1.71%
Avg Winner: +7.25%
Avg Loser: -2.31%
Best: +18.32%
Worst: -7.93%
Trades: 8/11

EOD (End of Day)

Win Rate: 47.4%
Avg Gain: +1.05%
Avg Winner: +6.79%
Avg Loser: -4.12%
Best: +21.23%
Worst: -11.23%
Trades: 9/10

🚀 Max Favorable / Adverse Excursion (MFE/MAE)

Institutional-grade metrics showing the maximum profit potential and risk for each alert.

📈 MFE (Max Profit Potential)

Average MFE: +5.07%
Best MFE: +25.82%
Avg Time to MFE: 109 min

On average, RNG alerts reach +5.07% profit potential within 109 minutes.

📉 MAE (Max Drawdown Risk)

Average MAE: -1.74%
Worst MAE: -4.51%
Avg Time to MAE: 20 min

Before reaching MFE, expect an average drawdown of 1.74%.

⚖️ Risk/Reward Ratio

2.91:1

Excellent risk/reward - potential gain is 2.91x the typical drawdown.

💡 Trading Insight: Based on 19 alerts, RNG typically reaches +5.07% profit before pulling back. Consider setting profit targets around 4.1% to capture most of the move.

🌅 Premarket Gap Analysis (9:25 → 9:30)

Total Gaps Analyzed 19
Gap Up % 42.1%
Avg Gap -0.41%
Best Gap +1.63%

🏭 Sector Comparison: SERVICES-COMPUTER PROCESSING & DATA PREPARATION

How RNG compares to 56 other tickers in the same sector.

5-Min Gain
RNG: -0.41% Sector: -0.32% -0.09%
EOD Gain
RNG: +1.05% Sector: +672.34% -671.30%
Avg MFE
RNG: +5.07% Sector: +6.46% -1.39%

📋 Last 20 Alerts

Historical RNG 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
2026-07-24 09:25:00 $39.85 +3.27% +18.42% +21.33% +17.99% +21.23% +25.82% -0.03% +1.63% WIN
2026-02-20 09:25:00 $34.12 +3.80% +11.08% +15.40% +18.32% +15.77% +19.11% +0.00% +0.70% WIN
2024-12-03 09:29:18 $37.35 +0.59% +1.98% +2.28% +2.01% -0.80% +3.00% -0.08% -0.08% WIN
2023-02-16 09:25:00 $40.95 -1.56% -5.84% -5.98% -4.59% -9.47% +1.10% -0.49% +0.22% LOSS
2023-01-12 09:25:00 $37.28 +0.30% -1.23% -5.69% -1.23% -1.96% +2.07% -0.21% +0.80% WIN
2022-12-02 09:25:00 $38.36 -2.03% -2.40% -2.87% -0.21% -0.21% +0.42% -3.91% -2.01% LOSS
2022-11-10 09:25:00 $34.4 -2.51% +3.36% +4.97% +5.58% +7.27% +12.35% -3.66% -2.21% LOSS
2022-10-18 09:25:00 $33.66 +1.48% +5.05% +4.87% +3.77% +1.93% +6.18% +0.00% +1.49% WIN
2022-10-07 09:25:00 $40.8 +1.08% +1.13% -0.07% +0.47% -3.63% +1.40% -0.02% +0.49% WIN
2022-10-03 09:25:00 $40.84 -1.97% -5.85% -6.80% -7.93% -2.77% -1.37% -2.06% -1.81% LOSS
2022-09-01 09:25:00 $42.25 +0.31% -0.36% -1.18% -1.87% +1.07% +1.14% -3.93% -0.35% WIN
2022-08-31 09:25:00 $44.25 -0.09% -0.06% +0.54% -0.14% -2.73% +1.47% -2.03% -0.38% LOSS
2022-08-08 09:25:00 $48.48 +0.95% +4.50% +8.14% +9.36% +7.57% +12.38% -0.36% +0.64% WIN
2022-08-05 09:25:00 $48.75 -1.46% -1.99% -1.72% +0.53% -2.05% +1.13% -2.91% -1.37% LOSS
2022-06-17 09:25:00 $50.46 -1.84% -1.34% +2.64% -0.54% +3.51% +5.73% -2.22% -1.17% LOSS
2022-05-24 09:25:00 $61.85 -1.26% -3.02% -3.70% -5.35% -6.37% +0.32% -1.75% +0.23% LOSS
2022-05-11 09:25:00 $69.45 -4.19% -3.10% -0.93% -2.04% -11.23% +0.58% -4.51% -2.59% LOSS
2022-03-15 09:25:00 $101.84 -2.61% -0.90% -0.44% -0.92% +0.65% +0.98% -2.81% -1.49% LOSS
2022-02-09 09:25:00 $169.47 -0.08% +0.55% -1.42% -0.63% +2.12% +2.55% -2.17% -0.51% 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

Beat the 47.4% Baseline on RNG

The 47.4% win rate is just the raw starting point. Launch the app to apply filters (Volume, RSI, Time) and push RNG's performance to 75%+.

Optimize RNG Strategy →

Why Analyze RNG with FILTRIX?

🛡️ Realistic Entry Simulation

We don't inflate stats. Our analysis tracks only the first alert of the day for RNG. 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, RNG historically offers an average upside of +5.07% intraday. Our data helps you distinguish between a quick scalp and a runner.

📊 RNG Momentum Personality

With a baseline win rate of 47.4%, RNG shows neutral behavior, suggesting the need for additional volume confirmation.

⏱️ Optimized Exit Timing

Don't guess when to sell. Our backtests show RNG performs best on the EOD (End of Day) timeframe (Avg Gain: +1.05%), signaling that gains often fade later in the session.