§ Sven by Tumezi

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BAX

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 0.1204 0 0.295
Mean (global + sector) 0.1277 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 0.2549 0 0.403
target_30d_10_perc_gain sector health_care 0.2513 0 0.254
Mean (global + sector) 0.2531 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 0.4577 1 0.159
target_60d_10_perc_gain sector health_care 0.4056 1 0.302
Mean (global + sector) 0.4316 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 0.005 0 0.323
target_60d_30_perc_gain sector health_care 0.0 0 0.711
Mean (global + sector) 0.0025 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 0.1277 0.257
30d / 10% target_30d_10_perc_gain 0.2531 0.328
30d / 20% target_30d_20_perc_gain 0.0403 0.17
60d / 10% target_60d_10_perc_gain 0.4316 0.231
60d / 20% target_60d_20_perc_gain 0.1014 0.221
60d / 30% target_60d_30_perc_gain 0.0025 0.517
Mean across models 0.1594 0.287

Inputs & features (prediction_snapshot)

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

1. open 19.26
2. high 19.67
3. low 19.06
4. close 19.18
5. adjusted close 19.18
6. volume 7219918.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 16.1792
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 1
bb_sell_count_14 2.0
bb_sell_count_30 5.0
bb_sell_count_7 2.0
BBANDS_20_Real Lower Band 16.3184
BBANDS_20_Real Middle Band 17.743
BBANDS_20_Real Upper Band 19.1676
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.6018567402254706
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 0.0187657418597722
excess_ret_vs_spy_60 -0.12263244768185588
fib_buy_signal 0
gics_sector health_care
gics_sub_industry health_care_equipment
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 9.0
macd_buy_count_30 22.0
macd_buy_count_7 7.0
MACD_MACD 0.2794
MACD_MACD_Hist 0.1964
MACD_MACD_Signal 0.083
macd_sell 0
macd_sell_count_14 5.0
macd_sell_count_30 8.0
macd_sell_count_7 0.0
OBV_OBV 630053985.0
price_vs_roll7 0.0474332969261404
roc_30 0.1183673469387756
roc_7 0.10803004043905262
rolling_avg_30 17.891333333333332
rolling_avg_7 18.31142857142857
RSI_14_RSI 62.1123
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 0.0
rsi_sell_count_30 0.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.04039999999999999
sma_200_gradient_30 -0.04991666666666662
sma_200_gradient_7 -0.027771428571428305
SMA_200_SMA 20.0669
sma_50_gradient_14 -0.026657142857142904
sma_50_gradient_30 -0.04396999999999996
sma_50_gradient_7 0.004085714285714407
SMA_50_SMA 17.457
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 3.0
stochrsi_buy_count_30 9.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 5.0
stock_daily_ret 0.00788229111928529
stock_ret_sum_20 0.06265678015598719
stock_ret_sum_60 -0.03872281986016224
sven_beta_buy 0
volatility_30 0.678190967573369
volatility_7 0.7139894623595311
volume_avg_30 7752630.666666667
volume_avg_7 6472360.714285715
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 9.0
vwma_buy_count_30 20.0
vwma_buy_count_7 6.0
vwma_sell 0
vwma_sell_count_14 5.0
vwma_sell_count_30 10.0
vwma_sell_count_7 1.0
xs_z_price_vs_roll7 1.1672664455974402
xs_z_roc_30 0.3928537768479863
xs_z_volatility_30 -0.42052122300669065