§ Sven by Tumezi

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VTRS

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 0.135 0 0.219
target_15d_10_perc_gain sector health_care 0.1454 0 0.295
Mean (global + sector) 0.1402 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 0.1516 0 0.254
Mean (global + sector) 0.2089 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 0.0437 0 0.178
target_30d_20_perc_gain sector health_care 0.0369 0 0.162
Mean (global + sector) 0.0403 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 0.4833 1 0.159
target_60d_10_perc_gain sector health_care 0.385 1 0.302
Mean (global + sector) 0.4341 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 0.0863 0 0.266
target_60d_20_perc_gain sector health_care 0.1164 0 0.177
Mean (global + sector) 0.1014 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 0.1402 0.257
30d / 10% target_30d_10_perc_gain 0.2089 0.328
30d / 20% target_30d_20_perc_gain 0.0403 0.17
60d / 10% target_60d_10_perc_gain 0.4341 0.231
60d / 20% target_60d_20_perc_gain 0.1014 0.221
60d / 30% target_60d_30_perc_gain 0.0163 0.517
Mean across models 0.1569 0.287

Inputs & features (prediction_snapshot)

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

1. open 16.39
2. high 16.68
3. low 16.39
4. close 16.65
5. adjusted close 16.65
6. volume 7362139.0
7. dividend amount 0.12
8. split coefficient 1.0
ADX_14_ADX 34.5929
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 13.0
adx_strong_trend_count_30 13.0
adx_strong_trend_count_7 7.0
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 3.0
bb_sell_count_30 5.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 14.2384
BBANDS_20_Real Middle Band 16.0593
BBANDS_20_Real Upper Band 17.8801
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.4953677487795988
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 0.10222670492304531
excess_ret_vs_spy_60 0.03496676899363338
fib_buy_signal 0
gics_sector health_care
gics_sub_industry pharmaceuticals
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 10.0
macd_buy_count_30 26.0
macd_buy_count_7 3.0
MACD_MACD 0.564
MACD_MACD_Hist -0.0701
MACD_MACD_Signal 0.6341
macd_sell 1
macd_sell_count_14 4.0
macd_sell_count_30 4.0
macd_sell_count_7 4.0
OBV_OBV 156553911.0
price_vs_roll7 0.009980211649254889
roc_30 0.24498886414253906
roc_7 -0.03454231433506039
rolling_avg_30 15.463550983899818
rolling_avg_7 16.485471505238944
RSI_14_RSI 62.0402
rsi_buy 0
rsi_buy_count_14 0.0
rsi_buy_count_30 0.0
rsi_buy_count_7 0.0
rsi_macd_buy 0
rsi_sell 0
rsi_sell_count_14 8.0
rsi_sell_count_30 8.0
rsi_sell_count_7 1.0
sma_200_gradient_14 0.03927142857142866
sma_200_gradient_30 0.03350333333333335
sma_200_gradient_7 0.03951428571428574
SMA_200_SMA 12.249
sma_50_gradient_14 0.03781428571428564
sma_50_gradient_30 0.014896666666666647
sma_50_gradient_7 0.04857142857142855
SMA_50_SMA 14.6115
sma_death_cross 0
sma_death_cross_count_14 0.0
sma_death_cross_count_30 0.0
sma_death_cross_count_7 0.0
sma_golden_cross 1
sma_golden_cross_count_14 14.0
sma_golden_cross_count_30 30.0
sma_golden_cross_count_7 7.0
sma_overlap_14 0
sma_overlap_30 0
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 57.2287
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 6.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 4.0
stochrsi_sell_count_30 15.0
stochrsi_sell_count_7 1.0
stock_daily_ret 0.01883353584447156
stock_ret_sum_20 0.1461177432192603
stock_ret_sum_60 0.11887639681532702
sven_beta_buy 0
volatility_30 1.1660562485460955
volatility_7 0.337511457962492
volume_avg_30 12215286.466666667
volume_avg_7 9815683.857142856
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 12.0
vwma_buy_count_30 28.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 2.0
vwma_sell_count_30 2.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 -0.14412808968314064
xs_z_roc_30 1.1199350591104311
xs_z_volatility_30 -0.4028285868090392