§ Sven by Tumezi

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DPZ

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 0.1249 0 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.245 0 0.336
Mean (global + sector) 0.1849 0.277

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.2463 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.3689 1 0.219
Mean (global + sector) 0.3076 0.311

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0588 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.099 0 0.412
Mean (global + sector) 0.0789 0.295

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.4361 1 0.159
target_60d_10_perc_gain sector consumer_discretionary 0.5085 1 0.395
Mean (global + sector) 0.4723 0.277

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.3823 1 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.369 1 0.354
Mean (global + sector) 0.3756 0.31

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0667 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.109 0 0.265
Mean (global + sector) 0.0878 0.294

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 0.1849 0.277
30d / 10% target_30d_10_perc_gain 0.3076 0.311
30d / 20% target_30d_20_perc_gain 0.0789 0.295
60d / 10% target_60d_10_perc_gain 0.4723 0.277
60d / 20% target_60d_20_perc_gain 0.3756 0.31
60d / 30% target_60d_30_perc_gain 0.0878 0.294
Mean across models 0.2512 0.294

Inputs & features (prediction_snapshot)

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

1. open 315.9
2. high 318.56
3. low 311.99
4. close 316.52
5. adjusted close 316.52
6. volume 506218.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 42.6858
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 13.0
adx_strong_trend_count_30 13.0
adx_strong_trend_count_7 7.0
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 0.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 297.5005
BBANDS_20_Real Middle Band 321.7975
BBANDS_20_Real Upper Band 346.0945
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.13934697161835805
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 -0.1871305812793994
excess_ret_vs_spy_60 -0.29797011195305556
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry restaurants
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 3.0
macd_buy_count_30 13.0
macd_buy_count_7 3.0
MACD_MACD -12.4361
MACD_MACD_Hist 1.4053
MACD_MACD_Signal -13.8414
macd_sell 0
macd_sell_count_14 11.0
macd_sell_count_30 17.0
macd_sell_count_7 4.0
OBV_OBV 241420223.0
price_vs_roll7 0.01821223248054582
roc_30 -0.13507309741768003
roc_7 0.02606327800829855
rolling_avg_30 337.5963333333333
rolling_avg_7 310.85857142857145
RSI_14_RSI 38.7636
rsi_buy 0
rsi_buy_count_14 5.0
rsi_buy_count_30 5.0
rsi_buy_count_7 2.0
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 -0.7334357142857145
sma_200_gradient_30 -0.6006799999999999
sma_200_gradient_7 -0.7261857142857154
SMA_200_SMA 399.6814
sma_50_gradient_14 -1.7217214285714297
sma_50_gradient_30 -1.15591
sma_50_gradient_7 -1.8096285714285776
SMA_50_SMA 350.9627
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 9.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 5.0
stock_daily_ret 0.00015799285872253321
stock_ret_sum_20 -0.14323954298318442
stock_ret_sum_60 -0.21406048413136192
sven_beta_buy 0
volatility_30 24.88619746009923
volatility_7 6.079184234112499
volume_avg_30 982341.3666666667
volume_avg_7 723833.2857142857
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 1.0
vwma_buy_count_30 8.0
vwma_buy_count_7 1.0
vwma_sell 0
vwma_sell_count_14 13.0
vwma_sell_count_30 22.0
vwma_sell_count_7 6.0
xs_z_price_vs_roll7 0.1441105708347239
xs_z_roc_30 -1.0624423476118035
xs_z_volatility_30 0.4573921449802175