§ Sven by Tumezi

← Overview

IQV

As-of 2026-05-22 · run #10

Visualise data

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 0.2549 0 0.403
target_30d_10_perc_gain sector health_care 0.3041 1 0.254
Mean (global + sector) 0.2795 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 0.0479 0 0.162
Mean (global + sector) 0.0458 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 0.4637 1 0.302
Mean (global + sector) 0.4607 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 0.005 0 0.323
target_60d_30_perc_gain sector health_care 0.0048 0 0.711
Mean (global + sector) 0.0049 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 0.2795 0.328
30d / 20% target_30d_20_perc_gain 0.0458 0.17
60d / 10% target_60d_10_perc_gain 0.4607 0.231
60d / 20% target_60d_20_perc_gain 0.1261 0.221
60d / 30% target_60d_30_perc_gain 0.0049 0.517
Mean across models 0.1741 0.287

Inputs & features (prediction_snapshot)

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

1. open 168.7
2. high 169.57
3. low 163.04
4. close 167.9
5. adjusted close 167.9
6. volume 1791000.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 13.2164
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 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 2.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 154.954
BBANDS_20_Real Middle Band 169.05
BBANDS_20_Real Upper Band 183.146
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.32362947564769473
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 -0.0033884940193801283
excess_ret_vs_spy_60 -0.0816989938111159
fib_buy_signal 0
gics_sector health_care
gics_sub_industry life_sciences_tools_&_services
ichimoku_buy 0
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 12.0
macd_buy_count_30 20.0
macd_buy_count_7 5.0
MACD_MACD 0.1021
MACD_MACD_Hist -0.2491
MACD_MACD_Signal 0.3512
macd_sell 1
macd_sell_count_14 2.0
macd_sell_count_30 10.0
macd_sell_count_7 2.0
OBV_OBV 51207682.0
price_vs_roll7 -0.01500993119401195
roc_30 0.003346480219911463
roc_7 -0.025989093862397006
rolling_avg_30 170.17999999999998
rolling_avg_7 170.45857142857145
RSI_14_RSI 46.1806
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 -0.061821428571428375
sma_200_gradient_30 -0.012089999999999653
sma_200_gradient_7 -0.07525714285714409
SMA_200_SMA 196.0942
sma_50_gradient_14 0.03257142857142777
sma_50_gradient_30 -0.21771333333333398
sma_50_gradient_7 -0.06185714285714182
SMA_50_SMA 169.35
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 17.7608
STOCHRSI_14_FastK 0.0
stochrsi_buy 1
stochrsi_buy_count_14 6.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 9.0
stochrsi_sell_count_7 1.0
stock_daily_ret -0.0007142006903940734
stock_ret_sum_20 0.04050254427683486
stock_ret_sum_60 0.00221063401057775
sven_beta_buy 0
volatility_30 6.961052734484416
volatility_7 2.1738478064540327
volume_avg_30 1708714.7
volume_avg_7 1764579.0
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 11.0
vwma_buy_count_30 19.0
vwma_buy_count_7 4.0
vwma_sell 1
vwma_sell_count_14 3.0
vwma_sell_count_30 11.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 -1.0191410964424725
xs_z_roc_30 -0.2676146893946837
xs_z_volatility_30 -0.19267064241105009