§ Sven by Tumezi

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PFE

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 0.1259 0 0.219
target_15d_10_perc_gain sector health_care 0.1065 0 0.295
Mean (global + sector) 0.1162 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 0.1516 0 0.254
Mean (global + sector) 0.1723 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 0.3835 1 0.159
target_60d_10_perc_gain sector health_care 0.3253 1 0.302
Mean (global + sector) 0.3544 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 0.0966 0 0.266
target_60d_20_perc_gain sector health_care 0.1192 0 0.177
Mean (global + sector) 0.1079 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 0.0157 0 0.711
Mean (global + sector) 0.0131 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 0.1162 0.257
30d / 10% target_30d_10_perc_gain 0.1723 0.328
30d / 20% target_30d_20_perc_gain 0.0514 0.17
60d / 10% target_60d_10_perc_gain 0.3544 0.231
60d / 20% target_60d_20_perc_gain 0.1079 0.221
60d / 30% target_60d_30_perc_gain 0.0131 0.517
Mean across models 0.1359 0.287

Inputs & features (prediction_snapshot)

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

1. open 26.0
2. high 26.15
3. low 25.76
4. close 25.9
5. adjusted close 25.9
6. volume 22320030.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 13.0879
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 25.3776
BBANDS_20_Real Middle Band 25.8713
BBANDS_20_Real Upper Band 26.3649
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.24364691898157928
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 -0.06808214318575256
excess_ret_vs_spy_60 -0.10789563197644747
fib_buy_signal 0
gics_sector health_care
gics_sub_industry pharmaceuticals
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 2.0
macd_buy_count_30 2.0
macd_buy_count_7 2.0
MACD_MACD -0.2038
MACD_MACD_Hist 0.0355
MACD_MACD_Signal -0.2392
macd_sell 0
macd_sell_count_14 12.0
macd_sell_count_30 28.0
macd_sell_count_7 5.0
OBV_OBV -2141092532.0
price_vs_roll7 0.008847587780273392
roc_30 -0.021779947970911873
roc_7 -0.0023112480739599928
rolling_avg_30 26.155675347887144
rolling_avg_7 25.672857142857143
RSI_14_RSI 47.4349
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 0.014021428571428629
sma_200_gradient_30 0.01488666666666667
sma_200_gradient_7 0.014914285714285467
SMA_200_SMA 25.0305
sma_50_gradient_14 -0.015535714285714366
sma_50_gradient_30 -0.00762333333333333
sma_50_gradient_7 -0.015985714285714585
SMA_50_SMA 26.4576
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 97.6403
STOCHRSI_14_FastK 92.921
stochrsi_buy 0
stochrsi_buy_count_14 3.0
stochrsi_buy_count_30 7.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 9.0
stochrsi_sell_count_7 3.0
stock_daily_ret -0.0019267822736031004
stock_ret_sum_20 -0.024191104889537574
stock_ret_sum_60 -0.023986004154753826
sven_beta_buy 0
volatility_30 0.4839835147577739
volatility_7 0.25276565467905043
volume_avg_30 35229127.03333333
volume_avg_7 30620671.0
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 2.0
vwma_buy_count_30 2.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 12.0
vwma_sell_count_30 28.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 -0.18378615099718035
xs_z_roc_30 -0.4118947140784827
xs_z_volatility_30 -0.4275642366080848