§ Sven by Tumezi

← Overview

MDLZ

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 0.0685 0 0.219
target_15d_10_perc_gain sector consumer_staples 0.0694 0 0.459
Mean (global + sector) 0.0689 0.339

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.1636 0 0.403
target_30d_10_perc_gain sector consumer_staples 0.1219 0 0.508
Mean (global + sector) 0.1428 0.455

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0011 0 0.178
target_30d_20_perc_gain sector consumer_staples 0.0084 0 0.491
Mean (global + sector) 0.0048 0.335

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.2076 1 0.159
target_60d_10_perc_gain sector consumer_staples 0.2494 0 0.466
Mean (global + sector) 0.2285 0.312

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.0394 0 0.266
target_60d_20_perc_gain sector consumer_staples 0.06 0 0.394
Mean (global + sector) 0.0497 0.33

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0 0 0.323
target_60d_30_perc_gain sector consumer_staples 0.0 0 0.548
Mean (global + sector) 0.0 0.436

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 0.0689 0.339
30d / 10% target_30d_10_perc_gain 0.1428 0.455
30d / 20% target_30d_20_perc_gain 0.0048 0.335
60d / 10% target_60d_10_perc_gain 0.2285 0.312
60d / 20% target_60d_20_perc_gain 0.0497 0.33
60d / 30% target_60d_30_perc_gain 0.0 0.436
Mean across models 0.0824 0.368

Inputs & features (prediction_snapshot)

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

1. open 61.58
2. high 62.19
3. low 61.422
4. close 61.76
5. adjusted close 61.76
6. volume 7050138.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 21.3106
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 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 58.8854
BBANDS_20_Real Middle Band 61.0675
BBANDS_20_Real Upper Band 63.2496
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.18923982354323085
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 0.027224972912787693
excess_ret_vs_spy_60 -0.03879970888308182
fib_buy_signal 0
gics_sector consumer_staples
gics_sub_industry packaged_foods_&_meats
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 8.0
macd_buy_count_30 16.0
macd_buy_count_7 1.0
MACD_MACD 0.8308
MACD_MACD_Hist -0.0635
MACD_MACD_Signal 0.8943
macd_sell 1
macd_sell_count_14 6.0
macd_sell_count_30 14.0
macd_sell_count_7 6.0
OBV_OBV 1727919494.0
price_vs_roll7 0.0067064083457362145
roc_30 0.04677966101694908
roc_7 0.0039011703511051543
rolling_avg_30 59.753
rolling_avg_7 61.348571428571425
RSI_14_RSI 60.5078
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 -0.02057857142857143
sma_200_gradient_30 -0.03061000000000007
sma_200_gradient_7 -0.00740000000000001
SMA_200_SMA 58.1586
sma_50_gradient_14 0.06448571428571423
sma_50_gradient_30 0.018306666666666634
sma_50_gradient_7 0.09470000000000008
SMA_50_SMA 58.7298
sma_death_cross 0
sma_death_cross_count_14 8.0
sma_death_cross_count_30 24.0
sma_death_cross_count_7 1.0
sma_golden_cross 1
sma_golden_cross_count_14 6.0
sma_golden_cross_count_30 6.0
sma_golden_cross_count_7 6.0
sma_overlap_14 0
sma_overlap_30 0
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 71.5924
STOCHRSI_14_FastK 54.7183
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 2.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 1.0
stock_daily_ret 0.004227642276422694
stock_ret_sum_20 0.07111601120900268
stock_ret_sum_60 0.045109918938611826
sven_beta_buy 0
volatility_30 2.1282486729250922
volatility_7 0.49847863784261154
volume_avg_30 7573869.233333333
volume_avg_7 6623441.857142857
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 12.0
vwma_buy_count_30 20.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 2.0
vwma_sell_count_30 10.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 -0.2587581056104938
xs_z_roc_30 -0.018214322979645182
xs_z_volatility_30 -0.36793428057201555