§ Sven by Tumezi

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HPQ

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 0.1705 0 0.219
target_15d_10_perc_gain sector information_technology 0.1159 0 0.276
Mean (global + sector) 0.1432 0.247

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.2756 0 0.403
target_30d_10_perc_gain sector information_technology 0.2907 0 0.293
Mean (global + sector) 0.2832 0.348

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.1328 0 0.178
target_30d_20_perc_gain sector information_technology 0.1439 0 0.245
Mean (global + sector) 0.1384 0.211

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.5458 1 0.159
target_60d_10_perc_gain sector information_technology 0.5042 1 0.397
Mean (global + sector) 0.525 0.278

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.1409 0 0.266
target_60d_20_perc_gain sector information_technology 0.1285 0 0.428
Mean (global + sector) 0.1347 0.347

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0167 0 0.323
target_60d_30_perc_gain sector information_technology 0.0934 0 0.418
Mean (global + sector) 0.0551 0.371

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 0.1432 0.247
30d / 10% target_30d_10_perc_gain 0.2832 0.348
30d / 20% target_30d_20_perc_gain 0.1384 0.211
60d / 10% target_60d_10_perc_gain 0.525 0.278
60d / 20% target_60d_20_perc_gain 0.1347 0.347
60d / 30% target_60d_30_perc_gain 0.0551 0.371
Mean across models 0.2133 0.3

Inputs & features (prediction_snapshot)

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

1. open 22.6
2. high 25.565
3. low 22.58
4. close 25.24
5. adjusted close 25.24
6. volume 48674187.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 34.2943
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 18.0
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 1
bb_sell_count_14 2.0
bb_sell_count_30 3.0
bb_sell_count_7 1.0
BBANDS_20_Real Lower Band 18.9398
BBANDS_20_Real Middle Band 21.202
BBANDS_20_Real Upper Band 23.4642
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.07627843827966012
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 0.2167505016937381
excess_ret_vs_spy_60 0.25360257314100454
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry technology_hardware,_storage_&_peripherals
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 8.0
macd_buy_count_30 22.0
macd_buy_count_7 1.0
MACD_MACD 0.7136
MACD_MACD_Hist 0.2102
MACD_MACD_Signal 0.5033
macd_sell 0
macd_sell_count_14 6.0
macd_sell_count_30 8.0
macd_sell_count_7 6.0
OBV_OBV 2420529091.0
price_vs_roll7 0.16482067510543152
roc_30 0.38225629791894833
roc_7 0.18720602069614278
rolling_avg_30 20.738
rolling_avg_7 21.66857142857143
RSI_14_RSI 76.6218
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 1
rsi_sell_count_14 2.0
rsi_sell_count_30 2.0
rsi_sell_count_7 1.0
sma_200_gradient_14 -0.013692857142857204
sma_200_gradient_30 -0.01758333333333333
sma_200_gradient_7 -0.012028571428571309
SMA_200_SMA 22.6451
sma_50_gradient_14 0.06022142857142855
sma_50_gradient_30 0.04008333333333335
sma_50_gradient_7 0.05742857142857157
SMA_50_SMA 19.9782
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 6.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 15.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.15251141552511416
stock_ret_sum_20 0.2606415399899531
stock_ret_sum_60 0.3375122009626982
sven_beta_buy 0
volatility_30 1.2042493727317882
volatility_7 1.6206935611167352
volume_avg_30 17137641.566666666
volume_avg_7 18822989.714285713
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 9.0
vwma_buy_count_30 24.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 5.0
vwma_sell_count_30 6.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 5.277506366212028
xs_z_roc_30 1.9081469204674397
xs_z_volatility_30 -0.40144349736360485