§ Sven by Tumezi

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LULU

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 0.245 0 0.336
Mean (global + sector) 0.2175 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 0.3644 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.5512 1 0.219
Mean (global + sector) 0.4578 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 0.1306 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.1875 0 0.412
Mean (global + sector) 0.1591 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 0.4077 1 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.4411 1 0.354
Mean (global + sector) 0.4244 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 0.2219 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.1429 0 0.265
Mean (global + sector) 0.1824 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 0.2175 0.277
30d / 10% target_30d_10_perc_gain 0.4578 0.311
30d / 20% target_30d_20_perc_gain 0.1591 0.295
60d / 10% target_60d_10_perc_gain 0.5304 0.277
60d / 20% target_60d_20_perc_gain 0.4244 0.31
60d / 30% target_60d_30_perc_gain 0.1824 0.294
Mean across models 0.3286 0.294

Inputs & features (prediction_snapshot)

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

1. open 127.26
2. high 127.94
3. low 124.9
4. close 127.18
5. adjusted close 127.18
6. volume 2261916.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 35.0282
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 14.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 2.0
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 114.1199
BBANDS_20_Real Middle Band 129.313
BBANDS_20_Real Upper Band 144.5061
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.45281918951764194
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 -0.16133951499104648
excess_ret_vs_spy_60 -0.4391557006028751
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry apparel,_accessories_&_luxury_goods
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 2.0
macd_buy_count_30 10.0
macd_buy_count_7 2.0
MACD_MACD -7.6227
MACD_MACD_Hist 0.9609
MACD_MACD_Signal -8.5835
macd_sell 0
macd_sell_count_14 12.0
macd_sell_count_30 20.0
macd_sell_count_7 5.0
OBV_OBV 377754521.0
price_vs_roll7 0.036620439911031255
roc_30 -0.22384962773098993
roc_7 0.049253361933834006
rolling_avg_30 139.49266666666665
rolling_avg_7 122.68714285714286
RSI_14_RSI 39.4836
rsi_buy 0
rsi_buy_count_14 8.0
rsi_buy_count_30 10.0
rsi_buy_count_7 4.0
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 -0.4284071428571415
sma_200_gradient_30 -0.424266666666666
sma_200_gradient_7 -0.38827142857142655
SMA_200_SMA 174.2837
sma_50_gradient_14 -0.9672000000000013
sma_50_gradient_30 -0.7183600000000003
sma_50_gradient_7 -0.8996571428571453
SMA_50_SMA 146.987
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 5.0
stochrsi_buy_count_30 14.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 8.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.0033133480593248166
stock_ret_sum_20 -0.1174484766948315
stock_ret_sum_60 -0.3552460727811815
sven_beta_buy 0
volatility_30 16.763450375912143
volatility_7 3.5632415686814976
volume_avg_30 3176980.4
volume_avg_7 2866326.285714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 2.0
vwma_buy_count_30 10.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 12.0
vwma_sell_count_30 20.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 0.7886615457459536
xs_z_roc_30 -1.5722115789434723
xs_z_volatility_30 0.1628173623690919