§ Sven by Tumezi

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LEN

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 0.2577 1 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.245 0 0.336
Mean (global + sector) 0.2514 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 0.3012 1 0.219
Mean (global + sector) 0.2737 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 0.0881 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.0864 0 0.412
Mean (global + sector) 0.0873 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 0.5627 1 0.395
Mean (global + sector) 0.5575 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 0.1715 0 0.354
Mean (global + sector) 0.2257 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 0.0514 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.058 0 0.265
Mean (global + sector) 0.0547 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 0.2514 0.277
30d / 10% target_30d_10_perc_gain 0.2737 0.311
30d / 20% target_30d_20_perc_gain 0.0873 0.295
60d / 10% target_60d_10_perc_gain 0.5575 0.277
60d / 20% target_60d_20_perc_gain 0.2257 0.31
60d / 30% target_60d_30_perc_gain 0.0547 0.294
Mean across models 0.2417 0.294

Inputs & features (prediction_snapshot)

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

1. open 88.78
2. high 89.53
3. low 87.375
4. close 88.86
5. adjusted close 88.86
6. volume 2179494.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 22.5272
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 5.0
adx_strong_trend_count_30 21.0
adx_strong_trend_count_7 3.0
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 0.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 81.6041
BBANDS_20_Real Middle Band 87.377
BBANDS_20_Real Upper Band 93.1499
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.5724303881328284
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 -0.09378304177015506
excess_ret_vs_spy_60 -0.2930312640641417
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry homebuilding
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 2.0
macd_buy_count_30 17.0
macd_buy_count_7 2.0
MACD_MACD -1.2599
MACD_MACD_Hist 0.4257
MACD_MACD_Signal -1.6856
macd_sell 0
macd_sell_count_14 12.0
macd_sell_count_30 13.0
macd_sell_count_7 5.0
OBV_OBV 99743643.0
price_vs_roll7 0.03778967916310916
roc_30 0.0040508893231538945
roc_7 0.04578086383429447
rolling_avg_30 88.81475162366158
rolling_avg_7 85.62428571428572
RSI_14_RSI 51.6195
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 -0.13645714285714355
sma_200_gradient_30 -0.11446333333333361
sma_200_gradient_7 -0.14575714285714372
SMA_200_SMA 111.9326
sma_50_gradient_14 -0.3864214285714281
sma_50_gradient_30 -0.4426266666666668
sma_50_gradient_7 -0.2763285714285705
SMA_50_SMA 89.3125
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 4.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 4.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.00033772374197904576
stock_ret_sum_20 -0.04989200347394007
stock_ret_sum_60 -0.20912163624244806
sven_beta_buy 0
volatility_30 3.5370631634617493
volatility_7 2.736219150230665
volume_avg_30 2498809.966666667
volume_avg_7 2778964.8571428573
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 3.0
vwma_buy_count_30 15.0
vwma_buy_count_7 3.0
vwma_sell 0
vwma_sell_count_14 11.0
vwma_sell_count_30 15.0
vwma_sell_count_7 4.0
xs_z_price_vs_roll7 0.8296016700180874
xs_z_roc_30 -0.2635698581106085
xs_z_volatility_30 -0.3168430403809796