§ Sven by Tumezi

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WST

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 0.1352 0 0.219
target_15d_10_perc_gain sector health_care 0.1204 0 0.295
Mean (global + sector) 0.1278 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 0.2119 0 0.254
Mean (global + sector) 0.239 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 0.4577 1 0.159
target_60d_10_perc_gain sector health_care 0.4056 1 0.302
Mean (global + sector) 0.4316 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 0.0863 0 0.266
target_60d_20_perc_gain sector health_care 0.0758 0 0.177
Mean (global + sector) 0.081 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 0.1278 0.257
30d / 10% target_30d_10_perc_gain 0.239 0.328
30d / 20% target_30d_20_perc_gain 0.0275 0.17
60d / 10% target_60d_10_perc_gain 0.4316 0.231
60d / 20% target_60d_20_perc_gain 0.081 0.221
60d / 30% target_60d_30_perc_gain 0.0131 0.517
Mean across models 0.1534 0.287

Inputs & features (prediction_snapshot)

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

1. open 314.62
2. high 317.79
3. low 311.07
4. close 316.42
5. adjusted close 316.42
6. volume 533751.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 32.1349
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 22.0
adx_strong_trend_count_7 7.0
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 3.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 288.6721
BBANDS_20_Real Middle Band 307.2194
BBANDS_20_Real Upper Band 325.7666
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.19592035152621576
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 -0.006548773395212981
excess_ret_vs_spy_60 0.17373724362440812
fib_buy_signal 0
gics_sector health_care
gics_sub_industry health_care_supplies
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 6.0
macd_buy_count_30 22.0
macd_buy_count_7 0.0
MACD_MACD 8.8698
MACD_MACD_Hist -1.4776
MACD_MACD_Signal 10.3474
macd_sell 1
macd_sell_count_14 8.0
macd_sell_count_30 8.0
macd_sell_count_7 7.0
OBV_OBV 72310802.0
price_vs_roll7 0.030458671207317378
roc_30 0.23428449276834273
roc_7 0.046362433862433994
rolling_avg_30 297.4412601213433
rolling_avg_7 307.06714285714287
RSI_14_RSI 64.6373
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 5.0
rsi_sell_count_30 9.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.35852857142857275
sma_200_gradient_30 0.33709666666666654
sma_200_gradient_7 0.3276285714285742
SMA_200_SMA 264.2267
sma_50_gradient_14 1.3221428571428564
sma_50_gradient_30 1.0906200000000004
sma_50_gradient_7 1.315571428571429
SMA_50_SMA 277.536
sma_death_cross 0
sma_death_cross_count_14 0.0
sma_death_cross_count_30 16.0
sma_death_cross_count_7 0.0
sma_golden_cross 1
sma_golden_cross_count_14 14.0
sma_golden_cross_count_30 14.0
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 4.0
stochrsi_buy_count_30 8.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 4.0
stock_daily_ret 0.0009173441305792007
stock_ret_sum_20 0.03734226490100201
stock_ret_sum_60 0.25764687144610177
sven_beta_buy 0
volatility_30 18.494056353015182
volatility_7 6.50272946356983
volume_avg_30 921636.3
volume_avg_7 625660.7142857143
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 8.0
vwma_buy_count_30 24.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 6.0
vwma_sell_count_30 6.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 0.5729113679975735
xs_z_roc_30 1.0584688230674726
xs_z_volatility_30 0.22557850391479864