§ Sven by Tumezi

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EQR

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 0.0407 0 0.279
Mean (global + sector) 0.0373 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 0.1515 0 0.403
target_30d_10_perc_gain sector real_estate 0.0286 0 0.285
Mean (global + sector) 0.09 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 0.013 0 0.12
Mean (global + sector) 0.0109 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 0.3685 1 0.307
Mean (global + sector) 0.3911 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 0.0652 0 0.266
target_60d_20_perc_gain sector real_estate 0.0457 0 0.123
Mean (global + sector) 0.0555 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 0.0373 0.249
30d / 10% target_30d_10_perc_gain 0.09 0.344
30d / 20% target_30d_20_perc_gain 0.0109 0.149
60d / 10% target_60d_10_perc_gain 0.3911 0.233
60d / 20% target_60d_20_perc_gain 0.0555 0.194
60d / 30% target_60d_30_perc_gain 0.0045 0.373
Mean across models 0.0982 0.257

Inputs & features (prediction_snapshot)

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

1. open 65.67
2. high 66.59
3. low 65.56
4. close 66.2
5. adjusted close 66.2
6. volume 2034973.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 27.7469
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 16.0
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 0.0
bb_sell_count_30 5.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 63.6309
BBANDS_20_Real Middle Band 65.4355
BBANDS_20_Real Upper Band 67.2401
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.23915169458826388
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 0.01930547130932725
excess_ret_vs_spy_60 -0.03519423282745893
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry multi_family_residential_reits
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 7.0
macd_buy_count_30 23.0
macd_buy_count_7 0.0
MACD_MACD 0.9329
MACD_MACD_Hist -0.1119
MACD_MACD_Signal 1.0448
macd_sell 1
macd_sell_count_14 7.0
macd_sell_count_30 7.0
macd_sell_count_7 7.0
OBV_OBV 462888755.0
price_vs_roll7 0.011106019942818124
roc_30 0.08276087667648024
roc_7 0.005620537748746823
rolling_avg_30 64.24033333333334
rolling_avg_7 65.47285714285714
RSI_14_RSI 60.6577
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 2.0
rsi_sell_count_30 2.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.010750000000000069
sma_200_gradient_30 0.000500000000000019
sma_200_gradient_7 0.017657142857143322
SMA_200_SMA 61.4453
sma_50_gradient_14 0.07749285714285696
sma_50_gradient_30 0.04171333333333323
sma_50_gradient_7 0.08782857142857077
SMA_50_SMA 62.2343
sma_death_cross 0
sma_death_cross_count_14 2.0
sma_death_cross_count_30 18.0
sma_death_cross_count_7 0.0
sma_golden_cross 1
sma_golden_cross_count_14 12.0
sma_golden_cross_count_30 12.0
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 76.5567
STOCHRSI_14_FastK 59.7762
stochrsi_buy 0
stochrsi_buy_count_14 6.0
stochrsi_buy_count_30 9.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 3.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 1.0
stock_daily_ret 0.006690997566910051
stock_ret_sum_20 0.06319650960554224
stock_ret_sum_60 0.04871539499423472
sven_beta_buy 0
volatility_30 1.9435294650751043
volatility_7 0.8244334273837128
volume_avg_30 2815081.2333333334
volume_avg_7 2706021.1428571427
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 11.0
vwma_buy_count_30 27.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 3.0
vwma_sell_count_30 3.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 -0.10470867114825314
xs_z_roc_30 0.18839565135034106
xs_z_volatility_30 -0.37463319904535314