CIEN — Ciena Corporation

Report date: 2026-05-26 | Sector: Technology | Last price: $583.74 | Horizon: 30d | Generated: 2026-05-26T07:05:02.196908Z

Forecast summary

Ensemble point -3.19%

80% CI [-18.27%, +16.38%]

95% CI [-24.74%, +28.82%]

Method dispersion 0.0340

Beats RW baseline YES

MC drift (annual) -41.23%

MC sigma (annual) 77.76%

MC paths 1000

Bull target (90th pct) +28.58% -> $750.55

Base target (50th) -8.00% -> $537.02

Bear target (10th pct) -34.90% -> $379.99

Macro regime risk_on_growth

10y yield 4.56%

3m yield 3.59%

Yield-curve slope +0.97%

VIX level 16.59

VIX z-score (252d) -0.48

Sector ETF XLK

Sector relative (90d) +120.06%

Forecast plot (interactive)

Realised volatility

Yang-Zhang annualized (60d) 77.76%

Close-to-close annualized (60d) 80.41%

Per-method comparison

Method	Weight	Point	80% lo	80% hi	95% lo	95% hi
linear	25.0%	-4.79%	-8.47%	-1.13%	-10.05%	+0.88%
monte_carlo	25.0%	-8.00%	-34.90%	+28.58%	-46.16%	+51.97%
ar1	25.0%	+0.01%	-5.03%	+5.33%	-7.60%	+8.25%
random_walk	25.0%	+0.00%	-24.66%	+32.73%	-35.15%	+54.20%

Factor contributions (interactive waterfall)

Factor contribution table

Factor	Loading	Ticker value	Contribution
value_score	+0.0495	-3.0000	-0.1484
quality_score	+0.0192	-0.6799	-0.0131
momentum_score	+0.0286	+3.0000	+0.0858
lowvol_score	+0.0173	-2.5204	-0.0436
revisions_score	+0.0236	+3.0000	+0.0709
news_activity_score	+0.0402	+0.0244	+0.0010
(intercept)	-	-	-0.0005

Factor decay over horizon

Factor IC over time

Per-factor IC backtest summary

Factor	Mean IC	ICIR	% positive	Cumulative attribution	n periods
value_score	+0.2563	+2.690	100.0%	+0.5383	252
quality_score	+0.1105	+1.096	86.5%	+0.2401	252
momentum_score	+0.1428	+1.354	92.5%	+0.2460	252
lowvol_score	+0.0878	+0.887	82.1%	+0.1870	252
revisions_score	+0.1375	+1.319	88.9%	+0.2738	252
news_activity_score	+0.3540	+3.832	100.0%	+1.0893	252

Snapshot — fundamentals + technical

Market cap $82.54B

P/E (trailing) 369.5

P/B 29.6

Forward P/E 66.8

PEG 2.44

Dividend yield -

Beta 1.25

52w high / low $599.50 / $70.77

Distance from 52w high -2.63%

RSI(14) 61.0

SMA50 / SMA200 $484.08 / $272.52

ATR(14) $34.72

Avg volume (20d) 2.00M

Profit margin 4.47%

ROE 8.20%

Revenue growth (YoY) +33.10%

Earnings growth (YoY) +232.30%

Debt/Equity 56.9

Current ratio 2.81

Short ratio 1.68

Forecast accuracy — walk-forward backtest (60d lookback)

Horizon	n predictions	Directional accuracy	MAE (return)	RMSE	80% CI hit rate	Pearson(pred, real)
1d	691	53.0%	2.34%	3.55%	83.1%	+0.008
30d	662	62.4%	17.30%	22.74%	72.4%	+0.206
60d	632	54.7%	34.01%	42.39%	58.7%	+0.261

Volume momentum (Granville / CGW / Quong-Soudack)

Composite z +0.015

Active signals 7 of 7

MFI(14) 56.31

CMF(20) +0.0968

OBV z (252d) +1.593

VPT z (252d) +1.427

VW-momentum z -0.416

Volume z (60d) -1.028

Relative volume (vs 20d ADV) 0.81x

CMF z (252d) -0.635

Sector rotation & AI-spillover (v6)

Sector ETF XLK

Rel-return 5d / 20d / 60d +2.83% / -0.45% / +28.96%

Sector mom-z 1m / 3m / 6m +2.27 / +2.72 / +1.64

Rotation phase cyclical

AI-factor beta (60d) +1.041

AI spillover score +0.0957

Risk-off corr regime (60d) 0.33 (>0.6 = risk-off; <0.35 = stock-picking)

Sector breadth (% > SMA50) -

Sector dispersion 20d -

Peer comparison (sector-relative valuation & momentum)

Peer signal

MIXED

score -0.43 (9 peers)

P/E percentile

88% (88% cheaper than this)

20d momentum percentile

44% (44% lag this)

Market-cap percentile

67%

Peer set (mcap band 0.2x-5x, same sector)

NXPI DDOG NOK MPWR INTU NET ASX ADP COHR

9 peers in Technology (mcap band 0.2x-5x); signal=mixed; score=-0.43

Decision input: cheap_leader → nudge bias one bucket toward LONG; expensive_laggard → nudge toward SHORT; cheap_laggard = value-trap (neutralize); expensive_leader = crowding risk (neutralize). Folded into Claude critique and one-line PM summary.

Multi-timeframe technical analysis (1wk / 1d / 1h)

Per-timeframe verdict (TradingView-style aggregate of 17 indicators: RSI, MACD, BBands, ADX, Stoch, %R, OBV, MFI, CMF, ATR, SMA50/200, EMA9/21, Donchian, price-vs-SMA200). Counts = how many indicators fired BUY / SELL / NEUTRAL; net strength is the weight-sum delta. Crosses (golden/death, MACD signal cross, Donchian breakout) and the SMA200 trend filter carry 1.5x weight.

1wk verdict

SELL

4 buy / 7 sell / 6 neutral · net -8.0

1d verdict

NEUTRAL

3 buy / 5 sell / 9 neutral · net -2.5

1h verdict

NEUTRAL

3 buy / 2 sell / 12 neutral · net +3.0

1wk SELL 4/7/6

RSI(14) 87.6

MACD hist +15.1437

Bollinger %b 0.89

ADX(14) 58.2

ATR % 9.72%

MFI(14) / CMF(20) 84.8 / +0.232

Donchian pos / break 0.96

vs SMA200 ABOVE

n_bars521

1d NEUTRAL 3/5/9

RSI(14) 61.0

MACD hist -2.4964

Bollinger %b 0.77

ADX(14) 22.1

ATR % 5.95%

MFI(14) / CMF(20) 56.3 / +0.097

Donchian pos / break 0.89

vs SMA200 ABOVE

n_bars1253

1h NEUTRAL 3/2/12

RSI(14) 59.4

MACD hist +0.0807

Bollinger %b 0.65

ADX(14) 38.1 RISING

ATR % 1.74%

MFI(14) / CMF(20) 53.1 / +0.080

Donchian pos / break 0.71

vs SMA200 ABOVE

n_bars1728

Cross-timeframe confluence

Confluence LONG (0-1) 0.20

Confluence SHORT (0-1) 0.00

Patterns are intentionally selective (Elder triple-screen, daily/hourly divergence, BB-squeeze+breakout, SMA-alignment, MACD/OBV). Most tickers fire 0-2 patterns on any given day. Below: each pattern with its current state (✓ firing / ✗ not firing).

Long patterns

✗ elder_triple

✗ daily_oversold_hourly_bull

✗ bb_squeeze_break_up

✓ sma_align_long

✗ macd_cross_obv

Short patterns

✗ elder_triple

✗ daily_overbought_hourly_div

✗ bb_squeeze_break_dn

✗ sma_align_short

✗ macd_cross_obv

Intraday nowcast — 1h-bar short-horizon (v6)

Next 24h nowcast

+0.85%

over next 24h on 1h bars

80% band

[-9.19%, +12.00%]

n_bars = 1728 · sigma_1h = 0.0167

Direction vs 30d ensemble

AGREES

1h direction: LONG · 30d direction: SHORT

Source: intraday_forecaster_v10_trained_lgbm.
(trained model: 2026-05-26 (0d old), mean_directional_accuracy=0.523, n_features=17) Decision input only -- the 30d ensemble + factor regression remain the primary call. Conflicts surfaced into the Claude critique as horizon_conflict flag when |1h move| > 1%.

Meta-label gate — AFML Ch.3 secondary classifier (v6)

Verdict

meta-label: ABSTAIN

p_take = 0.38 · threshold 0.60

Bias adjustment

meta-label ABSTAIN with p_take=0.38 -- bias already neutral; no change.

Method: secondary LightGBM trained on (features + primary direction) -> P(primary is right). Source: meta_labeler_v10_trained_lgbm.
(trained model: 2026-05-26 (0d old), roc_auc=0.641, accuracy=0.608, n_train_rows=8,284) When ABSTAIN with p_take < 1-threshold AND bias non-neutral, the bias is demoted one bucket and a meta_abstain flag is added to the critique. See AFML Ch.3.6 (Lopez de Prado 2018).

FMP fundamentals & analyst consensus (v7)

Quality / leverage

ROE 8.2%

ROIC -

FCF yield -

Debt / EBITDA -

Current ratio 2.81

Margins / valuation

Gross margin 42.1%

Operating margin 13.4%

Net margin 4.5%

P/E (TTM) 369.5

EV / EBITDA 145.2

Analyst consensus

Target mean -

Target high / low - / -

Upside vs last close -

Revisions score +0.000

Trade-bias signal — foundation for trade-guidance layer

Bias neutral

Composite z-score -1.186

Conviction 0.47421033876450924

Recommended playbook cash

Suggested position size 0% (no Kelly)

no Kelly: bias=neutral / meta_p_take=0.38 <= 0.5; singleton-proxy: news_activity_z=+0.02 (nonzero=True), wf30d_dir_acc=0.6238670694864048 (>0.55=True)

Macro override risk_on_growth_downweights_bearish

Strategies on bias side

•Cash / no position

•Iron condor if IV rank > 50

•Wait for next factor refresh

Why this bias

Sensitivity (OFAT tornado ±1 sd) and stress scenarios

Factor	Loading w_i	Ticker z-value	+1 sd impact	-1 sd impact
value_score	+0.0495	-3.000	+0.0495	-0.0495
news_activity_score	+0.0402	+0.024	+0.0402	-0.0402
momentum_score	+0.0286	+3.000	+0.0286	-0.0286
revisions_score	+0.0236	+3.000	+0.0236	-0.0236
quality_score	+0.0192	-0.680	+0.0192	-0.0192
lowvol_score	+0.0173	-2.520	+0.0173	-0.0173

Stress scenarios (forecast shift from base point)

Scenario	Description	Stressed point	Delta vs base
rates_+100bps	Yield curve +100bps (lowvol -1sd, value -0.5sd)	-8.99%	-4.20%
recession_risk_off	Recession (momentum -1.5sd, lowvol +1sd, news -1sd)	-11.37%	-6.58%
quality_flight	Quality flight (quality +1sd, revisions +1sd, momentum -0.5sd)	-1.93%	+2.86%

Multi-source live sentiment (free real-time)

Composite z-score -1.000

Active signals 2 of 3

Sources stocktwits, iv_skew

StockTwits bull 6

StockTwits bear 0

StockTwits net +1.00

Message volume 30

ApeWisdom mentions 0

24h change +0

Reddit rank -

25-delta IV skew +2.1299

IV-skew read bearish

Analyst critique

Agreement with model agree_with_caveats

Confidence 0.55

PM one-liner CIEN Technology: quant -3.19%/30d, disp +0.0340, beats RW, macro risk_on_growth, 1 catalyst(s).

Sensitivity concern If value_score (the highest-loading factor) is mis-measured by +/-1 stdev, the bias likely flips.

What the model may have missed

Peer set (9 Technology names) ranks this ticker in the 88th P/E percentile and 44th momentum percentile (signal: mixed) -- no decisive sector-relative edge.
1 catalyst(s) (?) scheduled -- model integrates calendar dates but not expected-move size from options skew
no options-implied vol vs realized vol gap (IV-RV would size delta-1 vs vol-trade choice)

Critique flags

{'type': 'meta_abstain', 'severity': 'medium', 'evidence': 'AFML meta-label ABSTAIN with p_take=0.38 (threshold 0.60)', 'suggested_check': 'secondary classifier signals primary is unreliable on this setup; treat as low-conviction or wait for next factor refresh'}
{'type': 'placebo_audit_failed', 'severity': 'high', 'evidence': 'GT-score 0.51 > 0.5: real-acc 53.0% vs max placebo-acc 53.8% (AMG -0.008)', 'suggested_check': 'setup may be spurious -- inspect feature-importance for noise-like features; consider increased abstention threshold'}

Factor contribution methodology — where the numbers come from

Point return formula (linear factor model): r_hat = alpha + sum_i (w_i × f_i) where w_i is the cross-sectional loading for factor i (estimated from the cross-section of US large-cap names) and f_i is the z-scored factor value for this ticker (Grinold-Kahn winsorization at ±3).

Per-factor contribution shown in the waterfall above is exactly w_i × f_i (decimal-return units), so the bars sum (with intercept) to the linear forecast point. The ensemble point combines linear / Monte Carlo / AR(1) / random-walk per per-method-comparison table.

Bias mapping (composite z-score → LONG/NEUTRAL/SHORT): weighted sum of value (1.0), quality (0.7), momentum (1.0), low-vol (0.5), revisions (1.0), news-activity (0.6); thresholds ±1.0 with macro override (risk-off + LONG → reduce to NEUTRAL; risk-on-growth + SHORT → reduce to NEUTRAL). LONG → Playbook A (long-call / call-debit-spread / covered-call); SHORT → Playbook B (long-put / put-debit-spread / bear-call-spread); NEUTRAL → cash.

Sensitivity (one-factor-at-a-time tornado above): impact = w_i × 1sd per factor (MSCI / Two-Sigma Venn convention). Stress scenarios are canned multi-factor shocks (rates +100bps; recession risk-off; quality flight).

Factor decay uses exponential half-life per factor type: catalysts 7d, news 14d, revisions 30d, momentum 45d, value 90d, quality 90d (Tetlock 2007; Cohen-Malloy-Pomorski 2012). The heatmap above shows contribution × exp(-ln(2) × t / half_life) on a 5-day grid.

Factor IC backtest: Spearman rank correlation between each factor's cross-sectional ranking on day t and the realized h-day-forward return, aggregated across the panel (Grinold-Kahn 2000 ch.4 fundamental law of active management). Source for this report: synthetic_panel_252d_100tickers_seed42 (parallel runner).

Placebo audit (v6, GT-Score): GT-score = 0.51 SPURIOUS — setup likely lacks real signal . Computed from 3 seed(s) across placebo kinds: shuffled, gaussian_iid, garch. Method: real directional accuracy = 53.0%; max placebo accuracy = 53.8%; AMG = -0.008. Source: placebo_audit_v6_ar1_runner. Provenance: arXiv 2604.15531 "Spurious Predictability in Financial ML" (Paper #3). Risk-flag spurious_predictability_audit_failed added to narrative.

Catalysts in window (30d)

Date	Type	Source	Confidence	Description
2026-06-04	earnings	yahoo	high	Earnings announcement (CIEN)

Analyst narrative

Bull case

CIEN ensemble forecast is -3.19% with 80% band [-18.27%, +16.38%] over 30 days. Positive drivers: momentum_score, revisions_score. 1 catalyst(s) in the window provide event-driven upside potential.

Bear case

Inter-method dispersion (+0.0340) and beats random-walk argue caution. Negative drivers: value_score. Macro regime risk_on_growth historically caps single-name conviction.

Synthesis

Weight the ensemble's -3.19% center against +0.0340 method dispersion. Risk On Growth regime + 1 catalyst(s) define the setup. Treat the 80% band as the working trade-sizing envelope.

Risk flags

spurious_predictability_audit_failed (GT-score=0.51 > 0.5; AMG=-0.008)