§ Sven by Tumezi

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TECH

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 0.1454 0 0.295
Mean (global + sector) 0.1403 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 0.3041 1 0.254
Mean (global + sector) 0.2851 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 0.0549 0 0.178
target_30d_20_perc_gain sector health_care 0.0479 0 0.162
Mean (global + sector) 0.0514 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 0.4882 1 0.302
Mean (global + sector) 0.4729 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 0.0966 0 0.266
target_60d_20_perc_gain sector health_care 0.1277 0 0.177
Mean (global + sector) 0.1121 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 0.1403 0.257
30d / 10% target_30d_10_perc_gain 0.2851 0.328
30d / 20% target_30d_20_perc_gain 0.0514 0.17
60d / 10% target_60d_10_perc_gain 0.4729 0.231
60d / 20% target_60d_20_perc_gain 0.1121 0.221
60d / 30% target_60d_30_perc_gain 0.0131 0.517
Mean across models 0.1792 0.287

Inputs & features (prediction_snapshot)

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

1. open 47.3
2. high 48.27
3. low 47.11
4. close 48.21
5. adjusted close 48.21
6. volume 2535154.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 32.919
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 10.0
adx_strong_trend_count_30 23.0
adx_strong_trend_count_7 7.0
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 0
bb_sell_count_14 0.0
bb_sell_count_30 4.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 41.0394
BBANDS_20_Real Middle Band 49.3797
BBANDS_20_Real Upper Band 57.7201
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.15763915693349315
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 -0.13283230966012038
excess_ret_vs_spy_60 -0.223011170882235
fib_buy_signal 0
gics_sector health_care
gics_sub_industry life_sciences_tools_&_services
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 1.0
macd_buy_count_30 10.0
macd_buy_count_7 1.0
MACD_MACD -2.2587
MACD_MACD_Hist 0.0333
MACD_MACD_Signal -2.2919
macd_sell 0
macd_sell_count_14 13.0
macd_sell_count_30 20.0
macd_sell_count_7 6.0
OBV_OBV 124526810.0
price_vs_roll7 0.054390248062776925
roc_30 -0.13041400410480897
roc_7 0.07589231926974627
rolling_avg_30 52.101455553059246
rolling_avg_7 45.723108771704595
RSI_14_RSI 45.8601
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 -0.037128571428571684
sma_200_gradient_30 -0.006546666666666804
sma_200_gradient_7 -0.04444285714285761
SMA_200_SMA 57.4182
sma_50_gradient_14 -0.16919285714285742
sma_50_gradient_30 -0.14748333333333338
sma_50_gradient_7 -0.17047142857142866
SMA_50_SMA 52.2277
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 8.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 4.0
stock_daily_ret 0.017732742241925337
stock_ret_sum_20 -0.0889412713639054
stock_ret_sum_60 -0.13910154306054134
sven_beta_buy 0
volatility_30 5.419045189775446
volatility_7 1.7782547472199721
volume_avg_30 2933600.6666666665
volume_avg_7 3393383.714285714
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 3.0
vwma_buy_count_30 11.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 11.0
vwma_sell_count_30 19.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 1.4108594002326005
xs_z_roc_30 -1.035689078381493
xs_z_volatility_30 -0.24859218380086426