§ Sven by Tumezi

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VTR

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 0.0476 0 0.219
target_15d_10_perc_gain sector real_estate 0.0582 0 0.279
Mean (global + sector) 0.0529 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 0.2073 0 0.285
Mean (global + sector) 0.2052 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 0.4558 1 0.307
Mean (global + sector) 0.4348 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 0.1718 1 0.123
Mean (global + sector) 0.121 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 0.0382 0 0.423
Mean (global + sector) 0.0236 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 0.0529 0.249
30d / 10% target_30d_10_perc_gain 0.2052 0.344
30d / 20% target_30d_20_perc_gain 0.0109 0.149
60d / 10% target_60d_10_perc_gain 0.4348 0.233
60d / 20% target_60d_20_perc_gain 0.121 0.194
60d / 30% target_60d_30_perc_gain 0.0236 0.373
Mean across models 0.1414 0.257

Inputs & features (prediction_snapshot)

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

1. open 88.65
2. high 89.27
3. low 87.9012
4. close 88.18
5. adjusted close 88.18
6. volume 2826821.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 12.327
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 1.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 85.4535
BBANDS_20_Real Middle Band 87.7885
BBANDS_20_Real Upper Band 90.1235
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.25014283769936013
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 0.010711129185851709
excess_ret_vs_spy_60 -0.052818851347395945
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry health_care_reits
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 12.0
macd_buy_count_30 23.0
macd_buy_count_7 5.0
MACD_MACD 0.9511
MACD_MACD_Hist -0.097
MACD_MACD_Signal 1.0481
macd_sell 1
macd_sell_count_14 2.0
macd_sell_count_30 7.0
macd_sell_count_7 2.0
OBV_OBV 554637349.0
price_vs_roll7 -0.0022952091549861553
roc_30 0.037900188323917394
roc_7 -0.024017708909795155
rolling_avg_30 86.48033333333333
rolling_avg_7 88.38285714285713
RSI_14_RSI 55.9035
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 0.11119999999999967
sma_200_gradient_30 0.11240333333333297
sma_200_gradient_7 0.11018571428571379
SMA_200_SMA 77.2777
sma_50_gradient_14 0.04854285714285668
sma_50_gradient_30 0.05843999999999975
sma_50_gradient_7 0.06169999999999983
SMA_50_SMA 85.3257
sma_death_cross 0
sma_death_cross_count_14 0.0
sma_death_cross_count_30 0.0
sma_death_cross_count_7 0.0
sma_golden_cross 1
sma_golden_cross_count_14 14.0
sma_golden_cross_count_30 30.0
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 27.3537
STOCHRSI_14_FastK 24.4545
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 8.0
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 0.0
stock_daily_ret 0.0020454545454546835
stock_ret_sum_20 0.0546021674820667
stock_ret_sum_60 0.0310907764742977
sven_beta_buy 0
volatility_30 2.322750277273206
volatility_7 0.780228904150893
volume_avg_30 4811071.966666667
volume_avg_7 4129346.714285714
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 12.0
vwma_buy_count_30 24.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 2.0
vwma_sell_count_30 6.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 -0.5739436747528767
xs_z_roc_30 -0.06920169490533835
xs_z_volatility_30 -0.36088059944363227