§ Sven by Tumezi

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MDT

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 0.0733 0 0.295
Mean (global + sector) 0.0784 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 0.013 0 0.178
target_30d_20_perc_gain sector health_care 0.0094 0 0.162
Mean (global + sector) 0.0112 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 0.3223 1 0.302
Mean (global + sector) 0.3529 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 0.0474 0 0.266
target_60d_20_perc_gain sector health_care 0.0456 0 0.177
Mean (global + sector) 0.0465 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 0.0784 0.257
30d / 10% target_30d_10_perc_gain 0.1609 0.328
30d / 20% target_30d_20_perc_gain 0.0112 0.17
60d / 10% target_60d_10_perc_gain 0.3529 0.231
60d / 20% target_60d_20_perc_gain 0.0465 0.221
60d / 30% target_60d_30_perc_gain 0.0025 0.517
Mean across models 0.1088 0.287

Inputs & features (prediction_snapshot)

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

1. open 78.4
2. high 79.25
3. low 78.20693399999999
4. close 78.6
5. adjusted close 78.6
6. volume 7051744.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 46.4878
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 3.0
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 74.2451
BBANDS_20_Real Middle Band 78.2225
BBANDS_20_Real Upper Band 82.1999
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.4043991901390518
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 -0.09971911089322993
excess_ret_vs_spy_60 -0.28054613265605044
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 5.0
macd_buy_count_30 11.0
macd_buy_count_7 5.0
MACD_MACD -1.7115
MACD_MACD_Hist 0.5173
MACD_MACD_Signal -2.2288
macd_sell 0
macd_sell_count_14 9.0
macd_sell_count_30 19.0
macd_sell_count_7 2.0
OBV_OBV 457695531.0
price_vs_roll7 0.011545815561099015
roc_30 -0.09872721018231856
roc_7 0.031360713817084385
rolling_avg_30 80.56133333333334
rolling_avg_7 77.70285714285714
RSI_14_RSI 44.78
rsi_buy 0
rsi_buy_count_14 5.0
rsi_buy_count_30 8.0
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 -0.0581000000000001
sma_200_gradient_30 -0.034493333333333
sma_200_gradient_7 -0.052900000000000044
SMA_200_SMA 92.0652
sma_50_gradient_14 -0.32422142857142894
sma_50_gradient_30 -0.3263200000000002
sma_50_gradient_7 -0.25150000000000106
SMA_50_SMA 83.0368
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 91.4739
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 10.0
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 0.0057581573896352545
stock_ret_sum_20 -0.055828072597014944
stock_ret_sum_60 -0.1966365048343568
sven_beta_buy 0
volatility_30 3.931187179935705
volatility_7 0.9191611082078636
volume_avg_30 9548425.733333332
volume_avg_7 9294804.142857144
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 4.0
vwma_buy_count_30 6.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 10.0
vwma_sell_count_30 24.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 -0.08930952402352083
xs_z_roc_30 -0.8537383699653613
xs_z_volatility_30 -0.3025499699121656