§ Sven by Tumezi

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HAS

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 0.1249 0 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.1824 0 0.336
Mean (global + sector) 0.1536 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 0.3443 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.244 1 0.219
Mean (global + sector) 0.2941 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 0.0639 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.0864 0 0.412
Mean (global + sector) 0.0752 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 0.4659 1 0.395
Mean (global + sector) 0.5091 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 0.1513 0 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.1353 0 0.354
Mean (global + sector) 0.1433 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 0.0667 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.109 0 0.265
Mean (global + sector) 0.0878 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 0.1536 0.277
30d / 10% target_30d_10_perc_gain 0.2941 0.311
30d / 20% target_30d_20_perc_gain 0.0752 0.295
60d / 10% target_60d_10_perc_gain 0.5091 0.277
60d / 20% target_60d_20_perc_gain 0.1433 0.31
60d / 30% target_60d_30_perc_gain 0.0878 0.294
Mean across models 0.2105 0.294

Inputs & features (prediction_snapshot)

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

1. open 90.08
2. high 90.36
3. low 87.85
4. close 88.1
5. adjusted close 88.1
6. volume 2234962.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 13.1031
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 0.0
adx_strong_trend_count_30 0.0
adx_strong_trend_count_7 0.0
bb_buy 1
bb_buy_count_14 3.0
bb_buy_count_30 3.0
bb_buy_count_7 3.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 1.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 89.2026
BBANDS_20_Real Middle Band 94.451
BBANDS_20_Real Upper Band 99.6994
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.3271641648177074
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 -0.11333802304557528
excess_ret_vs_spy_60 -0.197794394771728
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry leisure_products
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 6.0
macd_buy_count_30 22.0
macd_buy_count_7 0.0
MACD_MACD -0.8242
MACD_MACD_Hist -0.8687
MACD_MACD_Signal 0.0446
macd_sell 1
macd_sell_count_14 8.0
macd_sell_count_30 8.0
macd_sell_count_7 7.0
OBV_OBV 271906922.0
price_vs_roll7 -0.04915353541584189
roc_30 -0.039572658890221435
roc_7 -0.06286565259015009
rolling_avg_30 94.247
rolling_avg_7 92.65428571428572
RSI_14_RSI 39.1649
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 0.09878571428571396
sma_200_gradient_30 0.10069333333333313
sma_200_gradient_7 0.09185714285714093
SMA_200_SMA 85.1265
sma_50_gradient_14 -0.059971428571428884
sma_50_gradient_30 -0.06417666666666691
sma_50_gradient_7 -0.05325714285714257
SMA_50_SMA 93.1912
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 6.8796
STOCHRSI_14_FastK 1.4623
stochrsi_buy 1
stochrsi_buy_count_14 7.0
stochrsi_buy_count_30 11.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 4.0
stochrsi_sell_count_30 8.0
stochrsi_sell_count_7 1.0
stock_daily_ret -0.021980461811722973
stock_ret_sum_20 -0.06944698474936029
stock_ret_sum_60 -0.11388476695003436
sven_beta_buy 0
volatility_30 2.518625993780422
volatility_7 3.6773081510942016
volume_avg_30 1999113.1666666667
volume_avg_7 2817683.4285714286
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 6.0
vwma_buy_count_30 19.0
vwma_buy_count_7 2.0
vwma_sell 1
vwma_sell_count_14 8.0
vwma_sell_count_30 11.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 -2.2146563833746407
xs_z_roc_30 -0.5140633450965297
xs_z_volatility_30 -0.35377708556946047