§ Sven by Tumezi

← Overview

WY

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 0.0692 0 0.279
Mean (global + sector) 0.0797 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 0.1571 0 0.285
Mean (global + sector) 0.1935 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 0.013 0 0.12
Mean (global + sector) 0.0183 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 0.4137 1 0.159
target_60d_10_perc_gain sector real_estate 0.5057 1 0.307
Mean (global + sector) 0.4597 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 0.0703 0 0.266
target_60d_20_perc_gain sector real_estate 0.1035 0 0.123
Mean (global + sector) 0.0869 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 0.0797 0.249
30d / 10% target_30d_10_perc_gain 0.1935 0.344
30d / 20% target_30d_20_perc_gain 0.0183 0.149
60d / 10% target_60d_10_perc_gain 0.4597 0.233
60d / 20% target_60d_20_perc_gain 0.0869 0.194
60d / 30% target_60d_30_perc_gain 0.0045 0.373
Mean across models 0.1404 0.257

Inputs & features (prediction_snapshot)

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

1. open 23.57
2. high 23.85
3. low 23.475
4. close 23.66
5. adjusted close 23.66
6. volume 4040084.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 17.4705
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 0
bb_buy_count_14 0.0
bb_buy_count_30 1.0
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 22.4427
BBANDS_20_Real Middle Band 23.664
BBANDS_20_Real Upper Band 24.8853
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.4078899254948576
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 -0.09829799024550678
excess_ret_vs_spy_60 -0.10411307832826122
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry timber_reits
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 1.0
macd_buy_count_30 13.0
macd_buy_count_7 1.0
MACD_MACD -0.3006
MACD_MACD_Hist 0.0136
MACD_MACD_Signal -0.3142
macd_sell 0
macd_sell_count_14 13.0
macd_sell_count_30 17.0
macd_sell_count_7 6.0
OBV_OBV 853682763.0
price_vs_roll7 0.02102213180440704
roc_30 -0.03977272727272729
roc_7 0.024242424242424176
rolling_avg_30 24.058333333333334
rolling_avg_7 23.172857142857143
RSI_14_RSI 48.9633
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 -0.00797857142857136
sma_200_gradient_30 -0.005593333333333324
sma_200_gradient_7 -0.008157142857143132
SMA_200_SMA 24.1008
sma_50_gradient_14 -0.01739285714285721
sma_50_gradient_30 -0.02445666666666663
sma_50_gradient_7 -0.01652857142857148
SMA_50_SMA 23.9924
sma_death_cross 1
sma_death_cross_count_14 13.0
sma_death_cross_count_30 13.0
sma_death_cross_count_7 7.0
sma_golden_cross 0
sma_golden_cross_count_14 1.0
sma_golden_cross_count_30 17.0
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 9.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 4.0
stochrsi_sell_count_30 8.0
stochrsi_sell_count_7 4.0
stock_daily_ret 0.005952380952380931
stock_ret_sum_20 -0.05440695194929179
stock_ret_sum_60 -0.020203450506567577
sven_beta_buy 0
volatility_30 0.7868842237640338
volatility_7 0.3670474213549875
volume_avg_30 5136430.833333333
volume_avg_7 5011026.857142857
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 2.0
vwma_buy_count_30 11.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 12.0
vwma_sell_count_30 19.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 0.24249730161426697
xs_z_roc_30 -0.5152121701880696
xs_z_volatility_30 -0.4165794171149386