§ Sven by Tumezi

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ABT

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 0.0836 0 0.219
target_15d_10_perc_gain sector health_care 0.1065 0 0.295
Mean (global + sector) 0.095 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 0.1931 0 0.403
target_30d_10_perc_gain sector health_care 0.2322 0 0.254
Mean (global + sector) 0.2126 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 0.0271 0 0.178
target_30d_20_perc_gain sector health_care 0.0113 0 0.162
Mean (global + sector) 0.0192 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 0.3835 1 0.159
target_60d_10_perc_gain sector health_care 0.385 1 0.302
Mean (global + sector) 0.3842 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 0.0456 0 0.177
Mean (global + sector) 0.066 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 0.0104 0 0.323
target_60d_30_perc_gain sector health_care 0.015 0 0.711
Mean (global + sector) 0.0127 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 0.095 0.257
30d / 10% target_30d_10_perc_gain 0.2126 0.328
30d / 20% target_30d_20_perc_gain 0.0192 0.17
60d / 10% target_60d_10_perc_gain 0.3842 0.231
60d / 20% target_60d_20_perc_gain 0.066 0.221
60d / 30% target_60d_30_perc_gain 0.0127 0.517
Mean across models 0.1316 0.287

Inputs & features (prediction_snapshot)

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

1. open 87.92
2. high 88.84
3. low 87.05
4. close 87.41
5. adjusted close 87.41
6. volume 9519416.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 41.6176
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 30.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 5.0
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 81.6121
BBANDS_20_Real Middle Band 87.549
BBANDS_20_Real Upper Band 93.4859
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.2594735437848345
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 -0.08255690233014745
excess_ret_vs_spy_60 -0.3544119968858672
fib_buy_signal 0
gics_sector health_care
gics_sub_industry health_care_equipment
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 6.0
macd_buy_count_30 8.0
macd_buy_count_7 6.0
MACD_MACD -2.4756
MACD_MACD_Hist 0.8654
MACD_MACD_Signal -3.3409
macd_sell 0
macd_sell_count_14 8.0
macd_sell_count_30 22.0
macd_sell_count_7 1.0
OBV_OBV 1709848270.0
price_vs_roll7 0.003624971295464796
roc_30 -0.12310843169585384
roc_7 0.04270547536681368
rolling_avg_30 90.31154251883747
rolling_avg_7 87.0942857142857
RSI_14_RSI 41.8526
rsi_buy 0
rsi_buy_count_14 7.0
rsi_buy_count_30 14.0
rsi_buy_count_7 0.0
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 -0.19522857142857117
sma_200_gradient_30 -0.18822666666666663
sma_200_gradient_7 -0.19841428571428463
SMA_200_SMA 116.3622
sma_50_gradient_14 -0.5218857142857141
sma_50_gradient_30 -0.4154733333333335
sma_50_gradient_7 -0.4595714285714284
SMA_50_SMA 95.7817
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 58.2696
STOCHRSI_14_FastK 0.0
stochrsi_buy 1
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 11.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 1
stochrsi_sell 0
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 6.0
stock_daily_ret -0.004101629258288719
stock_ret_sum_20 -0.03866586403393246
stock_ret_sum_60 -0.2705023690641736
sven_beta_buy 0
volatility_30 5.143547002598776
volatility_7 1.7104858680420756
volume_avg_30 13360827.866666667
volume_avg_7 10576565.0
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 5.0
vwma_buy_count_30 5.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 9.0
vwma_sell_count_30 25.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 -0.366652546847114
xs_z_roc_30 -0.9937392970799753
xs_z_volatility_30 -0.25858323950605966