§ Sven by Tumezi

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MRK

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 0.1094 0 0.219
target_15d_10_perc_gain sector health_care 0.0564 0 0.295
Mean (global + sector) 0.0829 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 0.2321 0 0.403
target_30d_10_perc_gain sector health_care 0.1831 0 0.254
Mean (global + sector) 0.2076 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 0.0113 0 0.162
Mean (global + sector) 0.0275 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 0.4039 1 0.159
target_60d_10_perc_gain sector health_care 0.3685 1 0.302
Mean (global + sector) 0.3862 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 0.108 0 0.266
target_60d_20_perc_gain sector health_care 0.1164 0 0.177
Mean (global + sector) 0.1122 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 0.015 0 0.711
Mean (global + sector) 0.01 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 0.0829 0.257
30d / 10% target_30d_10_perc_gain 0.2076 0.328
30d / 20% target_30d_20_perc_gain 0.0275 0.17
60d / 10% target_60d_10_perc_gain 0.3862 0.231
60d / 20% target_60d_20_perc_gain 0.1122 0.221
60d / 30% target_60d_30_perc_gain 0.01 0.517
Mean across models 0.1377 0.287

Inputs & features (prediction_snapshot)

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

1. open 120.55
2. high 122.655
3. low 120.075
4. close 122.41
5. adjusted close 122.41
6. volume 14754581.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 21.5859
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 4.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 1
bb_sell_count_14 2.0
bb_sell_count_30 2.0
bb_sell_count_7 2.0
BBANDS_20_Real Lower Band 107.4425
BBANDS_20_Real Middle Band 112.8015
BBANDS_20_Real Upper Band 118.1605
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.26949880695814615
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 0.04899219857421744
excess_ret_vs_spy_60 -0.04230868411679334
fib_buy_signal 0
gics_sector health_care
gics_sub_industry pharmaceuticals
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 10.0
macd_buy_count_30 12.0
macd_buy_count_7 7.0
MACD_MACD 0.3094
MACD_MACD_Hist 1.0225
MACD_MACD_Signal -0.7131
macd_sell 0
macd_sell_count_14 4.0
macd_sell_count_30 18.0
macd_sell_count_7 0.0
OBV_OBV 1378704834.0
price_vs_roll7 0.06724541650058868
roc_30 0.008153516718827136
roc_7 0.07897752313794615
rolling_avg_30 113.92133333333332
rolling_avg_7 114.69714285714285
RSI_14_RSI 67.6535
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 0.17132142857142846
sma_200_gradient_30 0.17261666666666667
sma_200_gradient_7 0.18234285714285647
SMA_200_SMA 101.3283
sma_50_gradient_14 -0.10061428571428621
sma_50_gradient_30 -0.07952333333333333
sma_50_gradient_7 -0.02741428571428628
SMA_50_SMA 115.6815
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 86.5674
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 14.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 9.0
stochrsi_sell_count_7 4.0
stock_daily_ret 0.056351397997928876
stock_ret_sum_20 0.09288323687043243
stock_ret_sum_60 0.041600943704900306
sven_beta_buy 0
volatility_30 3.2495938561412756
volatility_7 3.6788617546105686
volume_avg_30 9140957.333333334
volume_avg_7 8864035.0
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 11.0
vwma_buy_count_30 12.0
vwma_buy_count_7 6.0
vwma_sell 0
vwma_sell_count_14 3.0
vwma_sell_count_30 18.0
vwma_sell_count_7 1.0
xs_z_price_vs_roll7 1.8609744579061516
xs_z_roc_30 -0.24001190640252018
xs_z_volatility_30 -0.3272682337094967