§ Sven by Tumezi

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BMY

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 0.0302 0 0.295
Mean (global + sector) 0.0569 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 0.1702 0 0.403
target_30d_10_perc_gain sector health_care 0.1516 0 0.254
Mean (global + sector) 0.1609 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 0.0406 0 0.178
target_30d_20_perc_gain sector health_care 0.0102 0 0.162
Mean (global + sector) 0.0254 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 0.2105 0 0.302
Mean (global + sector) 0.297 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 0.0208 0 0.266
target_60d_20_perc_gain sector health_care 0.0869 0 0.177
Mean (global + sector) 0.0539 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 0.0048 0 0.711
Mean (global + sector) 0.0049 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 0.0569 0.257
30d / 10% target_30d_10_perc_gain 0.1609 0.328
30d / 20% target_30d_20_perc_gain 0.0254 0.17
60d / 10% target_60d_10_perc_gain 0.297 0.231
60d / 20% target_60d_20_perc_gain 0.0539 0.221
60d / 30% target_60d_30_perc_gain 0.0049 0.517
Mean across models 0.0998 0.287

Inputs & features (prediction_snapshot)

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

1. open 59.97
2. high 60.25
3. low 59.25
4. close 59.46
5. adjusted close 59.46
6. volume 6489774.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 14.6496
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 1.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 55.0533
BBANDS_20_Real Middle Band 57.561
BBANDS_20_Real Upper Band 60.0687
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.30790550077769785
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 -0.028211577115653252
excess_ret_vs_spy_60 -0.09328441389317643
fib_buy_signal 0
gics_sector health_care
gics_sub_industry pharmaceuticals
ichimoku_buy 0
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 4.0
macd_buy_count_30 11.0
macd_buy_count_7 4.0
MACD_MACD 0.0707
MACD_MACD_Hist 0.3615
MACD_MACD_Signal -0.2907
macd_sell 0
macd_sell_count_14 10.0
macd_sell_count_30 19.0
macd_sell_count_7 3.0
OBV_OBV 1017140385.0
price_vs_roll7 0.022804344620810824
roc_30 0.014329580348004134
roc_7 0.05444227699946791
rolling_avg_30 57.981
rolling_avg_7 58.134285714285724
RSI_14_RSI 59.491
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 0.06140714285714261
sma_200_gradient_30 0.06439999999999983
sma_200_gradient_7 0.07257142857142794
SMA_200_SMA 51.9496
sma_50_gradient_14 -0.06270714285714263
sma_50_gradient_30 -0.026356666666666702
sma_50_gradient_7 -0.03338571428571413
SMA_50_SMA 58.2308
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 98.2168
STOCHRSI_14_FastK 94.6503
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 9.0
stochrsi_sell_count_30 12.0
stochrsi_sell_count_7 7.0
stock_daily_ret -0.0015113350125943725
stock_ret_sum_20 0.015679461180561738
stock_ret_sum_60 -0.009374786071482788
sven_beta_buy 0
volatility_30 1.2640011730656928
volatility_7 1.1390472208945848
volume_avg_30 9759129.666666666
volume_avg_7 8807949.857142856
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 4.0
vwma_buy_count_30 8.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 10.0
vwma_sell_count_30 22.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 0.3049002820592811
xs_z_roc_30 -0.20454794765362758
xs_z_volatility_30 -0.39927657361089447