§ Sven by Tumezi

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HD

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 0.071 0 0.336
Mean (global + sector) 0.076 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 0.1452 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.2141 0 0.219
Mean (global + sector) 0.1796 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 0.0864 0 0.412
Mean (global + sector) 0.0711 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 0.1224 0 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.1078 0 0.354
Mean (global + sector) 0.1151 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 0.0232 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.033 0 0.265
Mean (global + sector) 0.0281 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 0.076 0.277
30d / 10% target_30d_10_perc_gain 0.1796 0.311
30d / 20% target_30d_20_perc_gain 0.0711 0.295
60d / 10% target_60d_10_perc_gain 0.451 0.277
60d / 20% target_60d_20_perc_gain 0.1151 0.31
60d / 30% target_60d_30_perc_gain 0.0281 0.294
Mean across models 0.1535 0.294

Inputs & features (prediction_snapshot)

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

1. open 314.5
2. high 314.96
3. low 311.46
4. close 313.07
5. adjusted close 313.07
6. volume 2966858.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 32.1658
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 9.0
adx_strong_trend_count_30 15.0
adx_strong_trend_count_7 7.0
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 0
bb_sell_count_14 0.0
bb_sell_count_30 2.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 294.7768
BBANDS_20_Real Middle Band 314.689
BBANDS_20_Real Upper Band 334.6012
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.6117040405955887
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 -0.11129842890697905
excess_ret_vs_spy_60 -0.24821200777828467
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry home_improvement_retail
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 2.0
macd_buy_count_30 13.0
macd_buy_count_7 2.0
MACD_MACD -6.9422
MACD_MACD_Hist 0.7617
MACD_MACD_Signal -7.7038
macd_sell 0
macd_sell_count_14 12.0
macd_sell_count_30 17.0
macd_sell_count_7 5.0
OBV_OBV 707248835.0
price_vs_roll7 0.02332433669228351
roc_30 -0.0719452184739432
roc_7 0.034771112212857336
rolling_avg_30 323.78566666666666
rolling_avg_7 305.9342857142857
RSI_14_RSI 45.482
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 -0.284714285714285
sma_200_gradient_30 -0.19834666666666673
sma_200_gradient_7 -0.3231714285714296
SMA_200_SMA 362.8523
sma_50_gradient_14 -1.0608857142857135
sma_50_gradient_30 -0.9747066666666664
sma_50_gradient_7 -0.9513428571428578
SMA_50_SMA 326.4596
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 98.6791
STOCHRSI_14_FastK 96.0373
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 12.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 4.0
stock_daily_ret -0.002262731850340982
stock_ret_sum_20 -0.06740739061076406
stock_ret_sum_60 -0.16430237995659103
sven_beta_buy 0
volatility_30 15.721656419554446
volatility_7 6.547922971281542
volume_avg_30 4494999.366666666
volume_avg_7 5641827.285714285
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 3.0
vwma_buy_count_30 12.0
vwma_buy_count_7 3.0
vwma_sell 0
vwma_sell_count_14 11.0
vwma_sell_count_30 18.0
vwma_sell_count_7 4.0
xs_z_price_vs_roll7 0.3231074539351682
xs_z_roc_30 -0.6999518311298516
xs_z_volatility_30 0.1250362736513252