§ Sven by Tumezi

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HLT

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 0.081 0 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.0795 0 0.336
Mean (global + sector) 0.0803 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 0.2411 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.244 1 0.219
Mean (global + sector) 0.2426 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 0.0558 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.039 0 0.412
Mean (global + sector) 0.0474 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 0.4659 1 0.395
Mean (global + sector) 0.451 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 0.1094 0 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.1078 0 0.354
Mean (global + sector) 0.1086 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 0.0 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.0267 0 0.265
Mean (global + sector) 0.0134 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 0.0803 0.277
30d / 10% target_30d_10_perc_gain 0.2426 0.311
30d / 20% target_30d_20_perc_gain 0.0474 0.295
60d / 10% target_60d_10_perc_gain 0.451 0.277
60d / 20% target_60d_20_perc_gain 0.1086 0.31
60d / 30% target_60d_30_perc_gain 0.0134 0.294
Mean across models 0.1572 0.294

Inputs & features (prediction_snapshot)

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

1. open 325.85
2. high 325.85
3. low 318.405
4. close 321.08
5. adjusted close 321.08
6. volume 1053734.0
7. dividend amount 0.15
8. split coefficient 1.0
ADX_14_ADX 15.1066
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 0.0
adx_strong_trend_count_30 7.0
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 308.164
BBANDS_20_Real Middle Band 318.3673
BBANDS_20_Real Upper Band 328.5706
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.6737584182004059
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 -0.08500079701482222
excess_ret_vs_spy_60 -0.06430548720001028
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry hotels,_resorts_&_cruise_lines
ichimoku_buy 0
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 2.0
macd_buy_count_30 13.0
macd_buy_count_7 2.0
MACD_MACD 0.1664
MACD_MACD_Hist 0.2395
MACD_MACD_Signal -0.0731
macd_sell 0
macd_sell_count_14 12.0
macd_sell_count_30 17.0
macd_sell_count_7 5.0
OBV_OBV 181667185.0
price_vs_roll7 0.006503795745896879
roc_30 -0.006802090096775237
roc_7 0.03153399055906991
rolling_avg_30 323.7141027508846
rolling_avg_7 319.005254979743
RSI_14_RSI 52.2692
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 3.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.2488285714285691
sma_200_gradient_30 0.27462333333333316
sma_200_gradient_7 0.27002857142857045
SMA_200_SMA 290.1291
sma_50_gradient_14 0.23478571428571268
sma_50_gradient_30 0.29157666666666654
sma_50_gradient_7 0.37191428571428886
SMA_50_SMA 315.3449
sma_death_cross 0
sma_death_cross_count_14 0.0
sma_death_cross_count_30 0.0
sma_death_cross_count_7 0.0
sma_golden_cross 1
sma_golden_cross_count_14 14.0
sma_golden_cross_count_30 30.0
sma_golden_cross_count_7 7.0
sma_overlap_14 0
sma_overlap_30 0
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 83.6635
STOCHRSI_14_FastK 65.3575
stochrsi_buy 0
stochrsi_buy_count_14 3.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 5.0
stock_daily_ret -0.004740364357417315
stock_ret_sum_20 -0.041109758718607226
stock_ret_sum_60 0.019604140621683364
sven_beta_buy 0
volatility_30 9.272872034342981
volatility_7 3.4284559313687075
volume_avg_30 1580703.8666666667
volume_avg_7 1232389.0
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 4.0
vwma_buy_count_30 15.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 10.0
vwma_sell_count_30 15.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 -0.2658524492204788
xs_z_roc_30 -0.32588942564755047
xs_z_volatility_30 -0.1088315593232876