§ Sven by Tumezi

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EW

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 0.1454 0 0.295
Mean (global + sector) 0.1274 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 0.2662 0 0.403
target_30d_10_perc_gain sector health_care 0.2681 1 0.254
Mean (global + sector) 0.2671 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 0.4056 1 0.302
Mean (global + sector) 0.4048 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 0.1245 0 0.266
target_60d_20_perc_gain sector health_care 0.1277 0 0.177
Mean (global + sector) 0.1261 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 0.0168 0 0.323
target_60d_30_perc_gain sector health_care 0.0157 0 0.711
Mean (global + sector) 0.0163 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 0.1274 0.257
30d / 10% target_30d_10_perc_gain 0.2671 0.328
30d / 20% target_30d_20_perc_gain 0.0275 0.17
60d / 10% target_60d_10_perc_gain 0.4048 0.231
60d / 20% target_60d_20_perc_gain 0.1261 0.221
60d / 30% target_60d_30_perc_gain 0.0163 0.517
Mean across models 0.1615 0.287

Inputs & features (prediction_snapshot)

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

1. open 83.77
2. high 86.03
3. low 83.12
4. close 85.78
5. adjusted close 85.78
6. volume 4941924.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 12.0075
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 1.0
bb_buy_count_30 1.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 1
bb_sell_count_14 1.0
bb_sell_count_30 2.0
bb_sell_count_7 1.0
BBANDS_20_Real Lower Band 78.6434
BBANDS_20_Real Middle Band 82.2055
BBANDS_20_Real Upper Band 85.7676
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.43466975314704687
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 -0.021456629195341637
excess_ret_vs_spy_60 -0.07539841473071529
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 7.0
macd_buy_count_30 18.0
macd_buy_count_7 4.0
MACD_MACD 0.5513
MACD_MACD_Hist 0.3694
MACD_MACD_Signal 0.1819
macd_sell 0
macd_sell_count_14 7.0
macd_sell_count_30 12.0
macd_sell_count_7 3.0
OBV_OBV 1131617532.0
price_vs_roll7 0.03667000448878288
roc_30 0.10157955566970589
roc_7 0.05393783020027021
rolling_avg_30 81.50733333333332
rolling_avg_7 82.74571428571429
RSI_14_RSI 62.6761
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 0.01699285714285789
sma_200_gradient_30 0.018400000000000225
sma_200_gradient_7 0.015014285714286757
SMA_200_SMA 81.3293
sma_50_gradient_14 -0.05317142857142849
sma_50_gradient_30 -0.0027600000000001994
sma_50_gradient_7 -0.03220000000000108
SMA_50_SMA 81.458
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 3.0
stochrsi_buy_count_30 6.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 6.0
stock_daily_ret 0.03100961538461533
stock_ret_sum_20 0.022434409100873354
stock_ret_sum_60 0.008511213090978353
sven_beta_buy 0
volatility_30 2.086580990495382
volatility_7 1.515166186076201
volume_avg_30 5243296.133333334
volume_avg_7 4130475.714285714
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 8.0
vwma_buy_count_30 19.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 6.0
vwma_sell_count_30 11.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 0.7903970160263443
xs_z_roc_30 0.29645555739980956
xs_z_volatility_30 -0.36944537630926144