§ Sven by Tumezi

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NCLH

As-of 2026-05-22 · run #10

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Historical rows from the featured store. Choose up to three series; hover a point for the value at that date.

Probabilities · 15d / 10% target_15d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_15d_10_perc_gain global global 0.3591 1 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.245 0 0.336
Mean (global + sector) 0.3021 0.277

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.4574 1 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.58 1 0.219
Mean (global + sector) 0.5187 0.311

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.3402 1 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.3504 0 0.412
Mean (global + sector) 0.3453 0.295

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.6233 1 0.159
target_60d_10_perc_gain sector consumer_discretionary 0.5627 1 0.395
Mean (global + sector) 0.593 0.277

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.4077 1 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.6667 1 0.354
Mean (global + sector) 0.5372 0.31

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.2219 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.3605 1 0.265
Mean (global + sector) 0.2912 0.294

All models · summary

One row per trained target: mean P and mean threshold after combining global and sector. Bottom row averages those across models.

Model Mean P (global+sector) Mean thresh (global+sector)
15d / 10% target_15d_10_perc_gain 0.3021 0.277
30d / 10% target_30d_10_perc_gain 0.5187 0.311
30d / 20% target_30d_20_perc_gain 0.3453 0.295
60d / 10% target_60d_10_perc_gain 0.593 0.277
60d / 20% target_60d_20_perc_gain 0.5372 0.31
60d / 30% target_60d_30_perc_gain 0.2912 0.294
Mean across models 0.4313 0.294

Inputs & features (prediction_snapshot)

Same calendar row as inference (snapshot stored at prediction time, or live query).

1. open 16.705
2. high 16.705
3. low 16.255
4. close 16.3
5. adjusted close 16.3
6. volume 18965500.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 20.2256
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 0.0
adx_strong_trend_count_30 0.0
adx_strong_trend_count_7 0.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 0.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 0.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 14.6898
BBANDS_20_Real Middle Band 16.7935
BBANDS_20_Real Upper Band 18.8972
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.7130032034160209
econ_cpi_value 333.02
econ_fed_funds_value 3.64
econ_tsy_10y_value 4.32
econ_tsy_3m_value 3.7
econ_unemployment_value 4.3
excess_ret_vs_spy_20 -0.1583727684960322
excess_ret_vs_spy_60 -0.4688567955567967
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry hotels,_resorts_&_cruise_lines
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 1.0
macd_buy_count_30 9.0
macd_buy_count_7 1.0
MACD_MACD -0.8813
MACD_MACD_Hist 0.051
MACD_MACD_Signal -0.9323
macd_sell 0
macd_sell_count_14 13.0
macd_sell_count_30 21.0
macd_sell_count_7 6.0
OBV_OBV 140079960.0
price_vs_roll7 0.034451495920152064
roc_30 -0.18336673346693388
roc_7 0.014943960149439661
rolling_avg_30 17.830333333333332
rolling_avg_7 15.757142857142856
RSI_14_RSI 42.8626
rsi_buy 0
rsi_buy_count_14 1.0
rsi_buy_count_30 1.0
rsi_buy_count_7 1.0
rsi_macd_buy 0
rsi_sell 0
rsi_sell_count_14 0.0
rsi_sell_count_30 0.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.03927857142857124
sma_200_gradient_30 -0.024959999999999975
sma_200_gradient_7 -0.04408571428571406
SMA_200_SMA 21.5223
sma_50_gradient_14 -0.1137714285714286
sma_50_gradient_30 -0.09440000000000003
sma_50_gradient_7 -0.09357142857142822
SMA_50_SMA 18.4692
sma_death_cross 1
sma_death_cross_count_14 14.0
sma_death_cross_count_30 30.0
sma_death_cross_count_7 7.0
sma_golden_cross 0
sma_golden_cross_count_14 0.0
sma_golden_cross_count_30 0.0
sma_golden_cross_count_7 0.0
sma_overlap_14 0
sma_overlap_30 0
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 97.7065
STOCHRSI_14_FastK 93.1195
stochrsi_buy 0
stochrsi_buy_count_14 8.0
stochrsi_buy_count_30 18.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 3.0
stochrsi_sell_count_30 8.0
stochrsi_sell_count_7 3.0
stock_daily_ret -0.01032179720704296
stock_ret_sum_20 -0.11448173019981722
stock_ret_sum_60 -0.38494716773510307
sven_beta_buy 0
volatility_30 1.8213550910864817
volatility_7 0.598044432165697
volume_avg_30 23479879.8
volume_avg_7 24126488.714285713
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 0.0
vwma_buy_count_30 6.0
vwma_buy_count_7 0.0
vwma_sell 1
vwma_sell_count_14 14.0
vwma_sell_count_30 24.0
vwma_sell_count_7 7.0
xs_z_price_vs_roll7 0.7127174339073481
xs_z_roc_30 -1.3397522361618017
xs_z_volatility_30 -0.3790639032498963