Trend
rides uptrends, long onlyShort term (daily)EXIT
Mid term (weekly)EXIT
Long term (monthly)EXIT
Daily EXIT since Aug 14, 2026 at $45.31. Weekly EXIT since Dec 13, 2019 at $35.62. Monthly EXIT since Jun 2022.
$41.70
+1.71% Nov 2 close
The short answer
As of the Nov 2, 2026 close, QuantivFlow's Trend algo rates NNN EXIT on the short-term (daily) horizon, a stance it has held since Aug 14, 2026 at $45.31. The mid-term (weekly) and long-term (monthly) horizons read EXIT and EXIT. The Rebound algo's last dip trade closed on Oct 30, 2026 at $41.00; it holds no dip position now. The Patterns algo sees a descending channel on the daily chart that broke out on Nov 2, 2026 at $41.36, with a measured target about 10% higher. The daily RSI (14) is 56, and the price sits 0.0% under the 50-day average and 3.0% under the 200-day.
Three algos, three opinions is normal: Trend follows the established direction, Rebound buys sharp dips inside it, Patterns reads the chart shape. Not investment advice.
What Trend meansA trend-following algo. BUY while an uptrend holds on that horizon, EXIT when it breaks. Long only, judged on daily, weekly and monthly candles.
What Rebound meansA dip-buying algo. BUY after a sharp short-term drop in an otherwise healthy stock, EXIT once price closes back above its 12-day average. Short term and Mid term profiles.
What Patterns meansA chart-shape detector. Finds wedges, double tops and bottoms, cup and handle and more, marks the breakout or breakdown and measures the textbook price target. Full method
Rebound
buys sharp dipsShort termEXIT
Mid termEXIT
Short term: the last dip trade closed on Sep 22, 2026 at $40.98; no open dip position. Mid term: the last dip trade closed on Oct 30, 2026 at $41.00; no open dip position. The exit comes when price closes back above its 12-bar average or after 10 bars.
Patterns
chart shapes with targetsDaily: Descending channelBREAKOUT
The descending channel on the daily chart broke out on Nov 2, 2026 at $41.36, measured target 10.5% higher (about $45.71).
Daily indicators at the Nov 2 close
Read from the daily chart. The weekly and monthly readings are in the app.
| Momentum | Value | Read |
|---|---|---|
| RSI (14) | 55.7 | neutral |
| MACD / signal | -0.05 / -0.26 | above signal, rising |
| ADX (14) | 21.6 | weak trend |
| +DI / -DI | 20.8 / 19.7 | buyers lead |
| ATR (14) | 0.80 | 1.9% of price |
| Price levels | Value | vs price |
|---|---|---|
| SMA 20 | 40.52 | +2.9% |
| SMA 50 | 41.72 | -0.0% |
| SMA 200 | 43.01 | -3.0% |
| Bollinger (20, 2) | 39.16 to 41.87 | near the upper band |
| 52-week range | 36.77 to 48.62 | 42% of range |
| Volume | 2.6M | 1.0x the 20-day average |
How the algos have done on NNN
Closed signals on this stock, from each algo's own history on the horizon named. Past results do not guarantee future results.
Trend, short term (2.9y)
60%win rate
+3.2%avg per trade
5closed trades
Trend, mid term (10y)
Not enough closed trades on this stock yet (1 so far; 5 needed).
Trend, long term (20y)
Not enough closed trades on this stock yet (3 so far; 5 needed).
Rebound, short term (2.9y)
75%win rate
+0.1%avg per trade
24closed trades
Rebound, mid term (10y)
67%win rate
+0.6%avg per trade
12closed trades
Patterns, all horizons (2y)
Not enough measured breaks on this stock yet (1 detected; 5 needed).
Recent signals on NNN
| Date | Algo | Horizon | Signal | Price | Note |
|---|---|---|---|---|---|
| 2026-11-02 | Patterns | Daily | Descending channel breakout | 41.36 | target +10.5% |
| 2026-10-30 | Rebound | Mid term | EXIT | 41.00 | closed the BUY from Aug 21 at -9.2% |
| 2026-09-22 | Rebound | Short term | EXIT | 40.98 | closed the BUY from Sep 8 at -6.4% |
| 2026-09-08 | Rebound | Short term | BUY | 43.79 | |
| 2026-08-21 | Rebound | Mid term | BUY | 45.15 | |
| 2026-08-14 | Trend | Short term | EXIT | 45.31 | closed the BUY from $47.86 at -5.3% |
| 2026-08-13 | Rebound | Short term | EXIT | 45.55 | closed the BUY from Jul 30 at -2.7% |
| 2026-07-30 | Rebound | Short term | BUY | 46.81 | |
| 2026-07-16 | Trend | Short term | BUY | 47.86 | later closed |
| 2026-06-05 | Rebound | Short term | EXIT | 43.72 | closed the BUY from May 29 at +1.0% |
The full NNN analysis is in the QuantivFlow app
- The descending channel drawn on the chart, with its $45.71 target
- RSI, MACD, ADX, moving averages, Bollinger Bands and volume, read for you
- How each algo has done on NNN: win rate, average gain, every past signal
- A push notification the day a signal or pattern changes
Free on both stores. Scan the code with your phone, or search "QuantivFlow".
Free on the App Store and Google Play. Not installed? The button takes you to the store.
Questions about NNN
Is NNN in an uptrend right now?
Not by the Trend algo's reading, on any horizon. The daily horizon is EXIT since Aug 14, 2026. The weekly horizon is EXIT since Dec 13, 2019. The monthly horizon is EXIT since June 2022. Trend is long only: BUY means the uptrend holds on that horizon, EXIT means it broke.
Is NNN oversold?
No. The daily RSI (14) closed at 55.7; the classic oversold line is 30.
What chart pattern is NNN forming?
The descending channel on the daily chart broke out on Nov 2, 2026 at $41.36, measured target 10.5% higher (about $45.71).
Where is NNN's 200-day moving average?
$43.01 at the Nov 2, 2026 close, with the stock at $41.70, 3.0% below it. The 50-day average is $41.72, 0.0% above the price.
Is NNN a buy today?
QuantivFlow does not give advice. It shows what each algo sees: Trend is EXIT on the daily horizon, Rebound holds no dip position, Patterns sees a descending channel that broke out with a target 10% higher. How you weigh the three depends on your horizon and risk tolerance; past signals do not guarantee future results.
Generated by QuantivFlow after every trading day from the same scan that powers the app. Signals describe what the algos observed on end-of-day data, not what you should do. QuantivFlow is not a broker or an investment adviser. Trading involves risk, including the loss of principal.
Data as of Nov 2, 2026 close. Page updated Nov 3, 2026 11:04 UTC. Machine-readable version: quantivflow.com/stocks/NNN.json