§ Sven by Tumezi

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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 0.19 0 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.1423 0 0.336
Mean (global + sector) 0.1661 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 0.2951 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.4829 1 0.219
Mean (global + sector) 0.389 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 0.2224 1 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.2222 0 0.412
Mean (global + sector) 0.2223 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 0.5522 1 0.159
target_60d_10_perc_gain sector consumer_discretionary 0.5085 1 0.395
Mean (global + sector) 0.5304 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 0.28 1 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.369 1 0.354
Mean (global + sector) 0.3245 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 0.1658 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.109 0 0.265
Mean (global + sector) 0.1374 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 0.1661 0.277
30d / 10% target_30d_10_perc_gain 0.389 0.311
30d / 20% target_30d_20_perc_gain 0.2223 0.295
60d / 10% target_60d_10_perc_gain 0.5304 0.277
60d / 20% target_60d_20_perc_gain 0.3245 0.31
60d / 30% target_60d_30_perc_gain 0.1374 0.294
Mean across models 0.2949 0.294

Inputs & features (prediction_snapshot)

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

1. open 13.79
2. high 14.95
3. low 13.77
4. close 14.93
5. adjusted close 14.93
6. volume 109712162.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 25.665
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 1.0
adx_strong_trend_count_30 1.0
adx_strong_trend_count_7 1.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 1.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 1
bb_sell_count_14 3.0
bb_sell_count_30 6.0
bb_sell_count_7 2.0
BBANDS_20_Real Lower Band 10.7136
BBANDS_20_Real Middle Band 12.6353
BBANDS_20_Real Upper Band 14.557
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.5093345372850149
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 0.17612636503554058
excess_ret_vs_spy_60 -0.006152259602782539
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry automobile_manufacturers
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 8.0
macd_buy_count_30 21.0
macd_buy_count_7 7.0
MACD_MACD 0.4854
MACD_MACD_Hist 0.2055
MACD_MACD_Signal 0.2799
macd_sell 0
macd_sell_count_14 6.0
macd_sell_count_30 9.0
macd_sell_count_7 0.0
OBV_OBV 956012018.0
price_vs_roll7 0.09103246685449773
roc_30 0.24623088627717382
roc_7 0.10022107590272666
rolling_avg_30 12.572648819330036
rolling_avg_7 13.684285714285716
RSI_14_RSI 69.9301
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 1.0
rsi_sell_count_30 1.0
rsi_sell_count_7 1.0
sma_200_gradient_14 0.01148571428571429
sma_200_gradient_30 0.009083333333333362
sma_200_gradient_7 0.015928571428571608
SMA_200_SMA 12.3885
sma_50_gradient_14 0.0007571428571428689
sma_50_gradient_30 -0.013766666666666675
sma_50_gradient_7 0.03134285714285718
SMA_50_SMA 12.1701
sma_death_cross 1
sma_death_cross_count_14 14.0
sma_death_cross_count_30 16.0
sma_death_cross_count_7 7.0
sma_golden_cross 0
sma_golden_cross_count_14 0.0
sma_golden_cross_count_30 14.0
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 69.6352
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 2.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 12.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.09217264081931242
stock_ret_sum_20 0.22001740333175557
stock_ret_sum_60 0.0777573682189111
sven_beta_buy 0
volatility_30 0.8131165221894053
volatility_7 0.7415492148841566
volume_avg_30 59191474.63333333
volume_avg_7 90010836.28571428
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 10.0
vwma_buy_count_30 19.0
vwma_buy_count_7 7.0
vwma_sell 0
vwma_sell_count_14 4.0
vwma_sell_count_30 11.0
vwma_sell_count_7 0.0
xs_z_price_vs_roll7 2.693861992109164
xs_z_roc_30 1.1270669515896168
xs_z_volatility_30 -0.41562809196275124