§ Sven by Tumezi

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VICI

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 0.034 0 0.219
target_15d_10_perc_gain sector real_estate 0.0415 0 0.279
Mean (global + sector) 0.0377 0.249

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.1538 0 0.403
target_30d_10_perc_gain sector real_estate 0.0286 0 0.285
Mean (global + sector) 0.0912 0.344

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0087 0 0.178
target_30d_20_perc_gain sector real_estate 0.0244 0 0.12
Mean (global + sector) 0.0166 0.149

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.3699 1 0.159
target_60d_10_perc_gain sector real_estate 0.5057 1 0.307
Mean (global + sector) 0.4378 0.233

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.1417 0 0.266
target_60d_20_perc_gain sector real_estate 0.1718 1 0.123
Mean (global + sector) 0.1568 0.194

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0089 0 0.323
target_60d_30_perc_gain sector real_estate 0.0 0 0.423
Mean (global + sector) 0.0045 0.373

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 0.0377 0.249
30d / 10% target_30d_10_perc_gain 0.0912 0.344
30d / 20% target_30d_20_perc_gain 0.0166 0.149
60d / 10% target_60d_10_perc_gain 0.4378 0.233
60d / 20% target_60d_20_perc_gain 0.1568 0.194
60d / 30% target_60d_30_perc_gain 0.0045 0.373
Mean across models 0.1241 0.257

Inputs & features (prediction_snapshot)

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

1. open 28.585
2. high 28.725
3. low 28.35
4. close 28.5
5. adjusted close 28.5
6. volume 12161102.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 13.1868
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 1.0
bb_buy_count_30 1.0
bb_buy_count_7 1.0
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 27.8591
BBANDS_20_Real Middle Band 28.493
BBANDS_20_Real Upper Band 29.1269
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.2765446309250875
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 -0.03985821612340934
excess_ret_vs_spy_60 -0.10753242991053558
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry hotel_&_resort_reits
ichimoku_buy 0
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 4.0
macd_buy_count_30 20.0
macd_buy_count_7 0.0
MACD_MACD 0.0256
MACD_MACD_Hist -0.0175
MACD_MACD_Signal 0.0431
macd_sell 1
macd_sell_count_14 10.0
macd_sell_count_30 10.0
macd_sell_count_7 7.0
OBV_OBV 136871851.0
price_vs_roll7 0.007219669813666618
roc_30 0.01387406616862319
roc_7 0.010280042538107104
rolling_avg_30 28.480666666666664
rolling_avg_7 28.295714285714286
RSI_14_RSI 51.8582
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 -0.01587857142857147
sma_200_gradient_30 -0.015386666666666689
sma_200_gradient_7 -0.016557142857142843
SMA_200_SMA 29.0706
sma_50_gradient_14 -0.016514285714285544
sma_50_gradient_30 -0.008009999999999925
sma_50_gradient_7 -0.010971428571428379
SMA_50_SMA 28.1064
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 89.9624
STOCHRSI_14_FastK 84.8977
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 5.0
stock_daily_ret -0.0007012622720897754
stock_ret_sum_20 0.00403282217280565
stock_ret_sum_60 -0.023622802088841932
sven_beta_buy 0
volatility_30 0.3014897874789079
volatility_7 0.28271641521099294
volume_avg_30 7853670.1
volume_avg_7 8056822.285714285
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 6.0
vwma_buy_count_30 19.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 8.0
vwma_sell_count_30 11.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 -0.24078660128079782
xs_z_roc_30 -0.20716358392893813
xs_z_volatility_30 -0.4341824471080423