§ Sven by Tumezi

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As-of 2026-05-22 · run #10

Visualise data

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 0.0902 0 0.219
target_15d_10_perc_gain sector real_estate 0.0415 0 0.279
Mean (global + sector) 0.0658 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 0.2031 0 0.403
target_30d_10_perc_gain sector real_estate 0.1571 0 0.285
Mean (global + sector) 0.1801 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 0.0236 0 0.178
target_30d_20_perc_gain sector real_estate 0.0244 0 0.12
Mean (global + sector) 0.024 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 0.2558 0 0.307
Mean (global + sector) 0.3128 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 0.0924 0 0.266
target_60d_20_perc_gain sector real_estate 0.1718 1 0.123
Mean (global + sector) 0.1321 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 0.0 0 0.323
target_60d_30_perc_gain sector real_estate 0.0 0 0.423
Mean (global + sector) 0.0 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 0.0658 0.249
30d / 10% target_30d_10_perc_gain 0.1801 0.344
30d / 20% target_30d_20_perc_gain 0.024 0.149
60d / 10% target_60d_10_perc_gain 0.3128 0.233
60d / 20% target_60d_20_perc_gain 0.1321 0.194
60d / 30% target_60d_30_perc_gain 0.0 0.373
Mean across models 0.1191 0.257

Inputs & features (prediction_snapshot)

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

1. open 19.75
2. high 19.885
3. low 19.615
4. close 19.73
5. adjusted close 19.73
6. volume 5630477.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 36.3078
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 10.0
adx_strong_trend_count_30 10.0
adx_strong_trend_count_7 7.0
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 4.0
bb_sell_count_30 5.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 15.1079
BBANDS_20_Real Middle Band 18.3428
BBANDS_20_Real Upper Band 21.5777
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.3402083151679885
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 0.15992526307549437
excess_ret_vs_spy_60 0.072211893269027
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry health_care_reits
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 13.0
macd_buy_count_30 19.0
macd_buy_count_7 7.0
MACD_MACD 0.7822
MACD_MACD_Hist 0.0724
MACD_MACD_Signal 0.7097
macd_sell 0
macd_sell_count_14 1.0
macd_sell_count_30 11.0
macd_sell_count_7 0.0
OBV_OBV 579937147.0
price_vs_roll7 0.01151308136921192
roc_30 0.19169700884384655
roc_7 0.014471711770348339
rolling_avg_30 17.78177544779863
rolling_avg_7 19.50543236998173
RSI_14_RSI 71.7149
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 1
rsi_sell_count_14 12.0
rsi_sell_count_30 12.0
rsi_sell_count_7 6.0
sma_200_gradient_14 0.01299285714285706
sma_200_gradient_30 0.004729999999999989
sma_200_gradient_7 0.017128571428571097
SMA_200_SMA 17.0312
sma_50_gradient_14 0.043985714285714295
sma_50_gradient_30 0.019583333333333286
sma_50_gradient_7 0.04978571428571448
SMA_50_SMA 17.3462
sma_death_cross 0
sma_death_cross_count_14 4.0
sma_death_cross_count_30 20.0
sma_death_cross_count_7 0.0
sma_golden_cross 1
sma_golden_cross_count_14 10.0
sma_golden_cross_count_30 10.0
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 71.2666
STOCHRSI_14_FastK 91.1936
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 12.0
stochrsi_buy_count_7 3.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 12.0
stochrsi_sell_count_7 1.0
stock_daily_ret 0.0045824847250508505
stock_ret_sum_20 0.20381630137170936
stock_ret_sum_60 0.15612152109072064
sven_beta_buy 0
volatility_30 1.581440135629226
volatility_7 0.18144828835791751
volume_avg_30 8485189.266666668
volume_avg_7 6505332.142857143
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 14.0
vwma_buy_count_30 19.0
vwma_buy_count_7 7.0
vwma_sell 0
vwma_sell_count_14 0.0
vwma_sell_count_30 11.0
vwma_sell_count_7 0.0
xs_z_price_vs_roll7 -0.09045568968758314
xs_z_roc_30 0.8139245852162963
xs_z_volatility_30 -0.3877645183394097