§ Sven by Tumezi

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CBRE

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 0.1107 0 0.279
Mean (global + sector) 0.1004 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 0.2299 0 0.403
target_30d_10_perc_gain sector real_estate 0.217 0 0.285
Mean (global + sector) 0.2235 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 0.4784 1 0.159
target_60d_10_perc_gain sector real_estate 0.5057 1 0.307
Mean (global + sector) 0.492 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 0.1736 0 0.266
target_60d_20_perc_gain sector real_estate 0.2027 1 0.123
Mean (global + sector) 0.1881 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 0.0351 0 0.323
target_60d_30_perc_gain sector real_estate 0.0382 0 0.423
Mean (global + sector) 0.0367 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 0.1004 0.249
30d / 10% target_30d_10_perc_gain 0.2235 0.344
30d / 20% target_30d_20_perc_gain 0.024 0.149
60d / 10% target_60d_10_perc_gain 0.492 0.233
60d / 20% target_60d_20_perc_gain 0.1881 0.194
60d / 30% target_60d_30_perc_gain 0.0367 0.373
Mean across models 0.1775 0.257

Inputs & features (prediction_snapshot)

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

1. open 130.49
2. high 132.24
3. low 129.93
4. close 131.07
5. adjusted close 131.07
6. volume 1783430.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 27.5466
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 3.0
adx_strong_trend_count_30 12.0
adx_strong_trend_count_7 3.0
bb_buy 0
bb_buy_count_14 4.0
bb_buy_count_30 4.0
bb_buy_count_7 4.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 4.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 125.9223
BBANDS_20_Real Middle Band 139.3025
BBANDS_20_Real Upper Band 152.6827
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.5134612783293834
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 -0.16351383860402224
excess_ret_vs_spy_60 -0.20962242445279866
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry real_estate_services
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 0.0
macd_buy_count_30 12.0
macd_buy_count_7 0.0
MACD_MACD -3.655
MACD_MACD_Hist -1.3831
MACD_MACD_Signal -2.2719
macd_sell 1
macd_sell_count_14 14.0
macd_sell_count_30 18.0
macd_sell_count_7 7.0
OBV_OBV 475538818.0
price_vs_roll7 0.0035768195838998817
roc_30 -0.07187367228437902
roc_7 -0.06811233558478502
rolling_avg_30 142.64733333333334
rolling_avg_7 130.60285714285715
RSI_14_RSI 35.2634
rsi_buy 0
rsi_buy_count_14 2.0
rsi_buy_count_30 2.0
rsi_buy_count_7 2.0
rsi_macd_buy 0
rsi_sell 0
rsi_sell_count_14 0.0
rsi_sell_count_30 1.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.0625
sma_200_gradient_30 -0.010096666666666466
sma_200_gradient_7 -0.12804285714285665
SMA_200_SMA 153.4789
sma_50_gradient_14 -0.0752428571428579
sma_50_gradient_30 -0.15618666666666645
sma_50_gradient_7 -0.1182857142857147
SMA_50_SMA 139.875
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 99.3992
STOCHRSI_14_FastK 99.629
stochrsi_buy 0
stochrsi_buy_count_14 6.0
stochrsi_buy_count_30 15.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.00022893772893772812
stock_ret_sum_20 -0.11962280030780725
stock_ret_sum_60 -0.12571279663110502
sven_beta_buy 0
volatility_30 7.481322459777438
volatility_7 1.3265206907185074
volume_avg_30 2122826.066666667
volume_avg_7 2967518.4285714286
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 0.0
vwma_buy_count_30 10.0
vwma_buy_count_7 0.0
vwma_sell 1
vwma_sell_count_14 14.0
vwma_sell_count_30 20.0
vwma_sell_count_7 7.0
xs_z_price_vs_roll7 -0.36833854657033593
xs_z_roc_30 -0.6995410013088379
xs_z_volatility_30 -0.17380284563750573