§ Sven by Tumezi

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IBM

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 0.1501 0 0.219
target_15d_10_perc_gain sector information_technology 0.1528 0 0.276
Mean (global + sector) 0.1515 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 0.2945 0 0.403
target_30d_10_perc_gain sector information_technology 0.2923 0 0.293
Mean (global + sector) 0.2934 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 0.0513 0 0.178
target_30d_20_perc_gain sector information_technology 0.0182 0 0.245
Mean (global + sector) 0.0348 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 0.5397 1 0.397
Mean (global + sector) 0.5428 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 0.2007 0 0.266
target_60d_20_perc_gain sector information_technology 0.2731 0 0.428
Mean (global + sector) 0.2369 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 0.0546 0 0.323
target_60d_30_perc_gain sector information_technology 0.0566 0 0.418
Mean (global + sector) 0.0556 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 0.1515 0.247
30d / 10% target_30d_10_perc_gain 0.2934 0.348
30d / 20% target_30d_20_perc_gain 0.0348 0.211
60d / 10% target_60d_10_perc_gain 0.5428 0.278
60d / 20% target_60d_20_perc_gain 0.2369 0.347
60d / 30% target_60d_30_perc_gain 0.0556 0.371
Mean across models 0.2191 0.3

Inputs & features (prediction_snapshot)

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

1. open 262.05
2. high 264.38
3. low 253.39
4. close 253.84
5. adjusted close 253.84
6. volume 19072873.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 26.9362
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 8.0
adx_strong_trend_count_30 8.0
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 2.0
BBANDS_20_Real Lower Band 208.436
BBANDS_20_Real Middle Band 227.6784
BBANDS_20_Real Upper Band 246.9208
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.17581229702303044
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 0.06311919812678723
excess_ret_vs_spy_60 -0.009688178407667114
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry it_consulting_&_other_services
ichimoku_buy 0
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 3.0
macd_buy_count_30 12.0
macd_buy_count_7 3.0
MACD_MACD 0.0053
MACD_MACD_Hist 3.7245
MACD_MACD_Signal -3.7192
macd_sell 0
macd_sell_count_14 11.0
macd_sell_count_30 18.0
macd_sell_count_7 4.0
OBV_OBV 607236321.0
price_vs_roll7 0.10053513031413663
roc_30 0.10810851305918545
roc_7 0.18263138278046975
rolling_avg_30 232.91120393173472
rolling_avg_7 230.65142857142857
RSI_14_RSI 66.8307
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 -0.15114999999999718
sma_200_gradient_30 -0.18595666666666563
sma_200_gradient_7 -0.0868428571428532
SMA_200_SMA 266.5665
sma_50_gradient_14 -0.30689999999999884
sma_50_gradient_30 -0.5879099999999994
sma_50_gradient_7 -0.39454285714285625
SMA_50_SMA 236.5594
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 4.0
stochrsi_buy_count_30 8.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 16.0
stochrsi_sell_count_7 6.0
stock_daily_ret 0.003439142981381149
stock_ret_sum_20 0.10701023642300223
stock_ret_sum_60 0.07422144941402653
sven_beta_buy 0
volatility_30 12.126660810225971
volatility_7 15.701031206660977
volume_avg_30 7648671.366666666
volume_avg_7 10512060.57142857
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 3.0
vwma_buy_count_30 10.0
vwma_buy_count_7 3.0
vwma_sell 0
vwma_sell_count_14 11.0
vwma_sell_count_30 20.0
vwma_sell_count_7 4.0
xs_z_price_vs_roll7 3.0265913477671287
xs_z_roc_30 0.33394588933873665
xs_z_volatility_30 -0.00533772902659635