§ Sven by Tumezi

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ZTS

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 0.1352 0 0.219
target_15d_10_perc_gain sector health_care 0.1454 0 0.295
Mean (global + sector) 0.1403 0.257

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.2662 0 0.403
target_30d_10_perc_gain sector health_care 0.3041 1 0.254
Mean (global + sector) 0.2851 0.328

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0549 0 0.178
target_30d_20_perc_gain sector health_care 0.0479 0 0.162
Mean (global + sector) 0.0514 0.17

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.4577 1 0.159
target_60d_10_perc_gain sector health_care 0.4882 1 0.302
Mean (global + sector) 0.4729 0.231

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.1496 0 0.266
target_60d_20_perc_gain sector health_care 0.1277 0 0.177
Mean (global + sector) 0.1386 0.221

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0168 0 0.323
target_60d_30_perc_gain sector health_care 0.0157 0 0.711
Mean (global + sector) 0.0163 0.517

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 0.1403 0.257
30d / 10% target_30d_10_perc_gain 0.2851 0.328
30d / 20% target_30d_20_perc_gain 0.0514 0.17
60d / 10% target_60d_10_perc_gain 0.4729 0.231
60d / 20% target_60d_20_perc_gain 0.1386 0.221
60d / 30% target_60d_30_perc_gain 0.0163 0.517
Mean across models 0.1841 0.287

Inputs & features (prediction_snapshot)

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

1. open 80.87
2. high 82.34
3. low 80.13
4. close 81.32
5. adjusted close 81.32
6. volume 6327418.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 48.0796
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 11.0
adx_strong_trend_count_30 11.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 5.0
bb_buy_count_30 6.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 2.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 57.6924
BBANDS_20_Real Middle Band 92.9725
BBANDS_20_Real Upper Band 128.2526
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.2702453426089038
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 -0.3723801870644913
excess_ret_vs_spy_60 -0.5064775738455989
fib_buy_signal 0
gics_sector health_care
gics_sub_industry pharmaceuticals
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 0.0
macd_buy_count_30 9.0
macd_buy_count_7 0.0
MACD_MACD -10.0292
MACD_MACD_Hist -0.2687
MACD_MACD_Signal -9.7605
macd_sell 1
macd_sell_count_14 14.0
macd_sell_count_30 21.0
macd_sell_count_7 7.0
OBV_OBV 218758772.0
price_vs_roll7 0.039821715621790155
roc_30 -0.307049018004921
roc_7 0.09389292440139885
rolling_avg_30 101.71917955375254
rolling_avg_7 78.20571428571428
RSI_14_RSI 28.9981
rsi_buy 1
rsi_buy_count_14 12.0
rsi_buy_count_30 12.0
rsi_buy_count_7 7.0
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 -0.32118571428571435
sma_200_gradient_30 -0.24638666666666703
sma_200_gradient_7 -0.34109999999999935
SMA_200_SMA 126.4179
sma_50_gradient_14 -0.8143785714285718
sma_50_gradient_30 -0.46731000000000006
sma_50_gradient_7 -0.8475142857142869
SMA_50_SMA 107.7247
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 7.0
stochrsi_buy_count_30 14.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 7.0
stock_daily_ret 0.015611340077432256
stock_ret_sum_20 -0.3284891487682763
stock_ret_sum_60 -0.42256794602390524
sven_beta_buy 0
volatility_30 19.347862276936688
volatility_7 2.565760817288417
volume_avg_30 7207315.333333333
volume_avg_7 7948298.142857143
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 0.9007520569008942
xs_z_roc_30 -2.0499559678886508
xs_z_volatility_30 0.2565421288836093