§ Sven by Tumezi

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HST

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 0.0884 0 0.219
target_15d_10_perc_gain sector real_estate 0.0692 0 0.279
Mean (global + sector) 0.0788 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 0.217 0 0.285
Mean (global + sector) 0.21 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 0.4137 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 0.1884 1 0.123
Mean (global + sector) 0.1294 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 0.0363 0 0.423
Mean (global + sector) 0.0181 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 0.0788 0.249
30d / 10% target_30d_10_perc_gain 0.21 0.344
30d / 20% target_30d_20_perc_gain 0.024 0.149
60d / 10% target_60d_10_perc_gain 0.4597 0.233
60d / 20% target_60d_20_perc_gain 0.1294 0.194
60d / 30% target_60d_30_perc_gain 0.0181 0.373
Mean across models 0.1533 0.257

Inputs & features (prediction_snapshot)

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

1. open 22.39
2. high 22.475
3. low 22.26
4. close 22.38
5. adjusted close 22.38
6. volume 7643900.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 35.7015
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 22.0
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 1.0
bb_sell_count_30 3.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 20.6103
BBANDS_20_Real Middle Band 21.585
BBANDS_20_Real Upper Band 22.5597
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.614993530597583
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 0.02625605002468423
excess_ret_vs_spy_60 0.03174939946046473
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry hotel_&_resort_reits
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 7.0
macd_buy_count_30 21.0
macd_buy_count_7 2.0
MACD_MACD 0.4729
MACD_MACD_Hist 0.0208
MACD_MACD_Signal 0.4522
macd_sell 0
macd_sell_count_14 7.0
macd_sell_count_30 9.0
macd_sell_count_7 5.0
OBV_OBV 1054530107.0
price_vs_roll7 0.019457278583932203
roc_30 0.11122144985104265
roc_7 0.03803339517625237
rolling_avg_30 21.349666666666668
rolling_avg_7 21.952857142857145
RSI_14_RSI 67.369
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 1.0
rsi_sell_count_30 3.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.032192857142856975
sma_200_gradient_30 0.0298199999999999
sma_200_gradient_7 0.03435714285714247
SMA_200_SMA 18.0891
sma_50_gradient_14 0.049107142857142856
sma_50_gradient_30 0.04026333333333329
sma_50_gradient_7 0.05559999999999984
SMA_50_SMA 20.4244
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 96.7964
STOCHRSI_14_FastK 90.3891
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 4.0
stock_daily_ret -0.0013386880856760541
stock_ret_sum_20 0.07014708832089922
stock_ret_sum_60 0.11565902728215838
sven_beta_buy 0
volatility_30 0.5539418825082427
volatility_7 0.4171216563432297
volume_avg_30 7900404.366666666
volume_avg_7 8553644.42857143
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 13.0
vwma_buy_count_30 28.0
vwma_buy_count_7 6.0
vwma_sell 0
vwma_sell_count_14 1.0
vwma_sell_count_30 2.0
vwma_sell_count_7 1.0
xs_z_price_vs_roll7 0.18770502090693053
xs_z_roc_30 0.35182087713076576
xs_z_volatility_30 -0.42502716746653274