§ Sven by Tumezi

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KIM

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 0.0528 0 0.219
target_15d_10_perc_gain sector real_estate 0.0582 0 0.279
Mean (global + sector) 0.0555 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 0.013 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 0.2558 0 0.307
Mean (global + sector) 0.3348 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 0.1644 1 0.123
Mean (global + sector) 0.1148 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 0.0214 0 0.323
target_60d_30_perc_gain sector real_estate 0.0382 0 0.423
Mean (global + sector) 0.0298 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 0.0555 0.249
30d / 10% target_30d_10_perc_gain 0.21 0.344
30d / 20% target_30d_20_perc_gain 0.0183 0.149
60d / 10% target_60d_10_perc_gain 0.3348 0.233
60d / 20% target_60d_20_perc_gain 0.1148 0.194
60d / 30% target_60d_30_perc_gain 0.0298 0.373
Mean across models 0.1272 0.257

Inputs & features (prediction_snapshot)

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

1. open 24.17
2. high 24.225
3. low 23.975
4. close 24.11
5. adjusted close 24.11
6. volume 3370946.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 18.4861
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 0.0
adx_strong_trend_count_30 13.0
adx_strong_trend_count_7 0.0
bb_buy 0
bb_buy_count_14 2.0
bb_buy_count_30 2.0
bb_buy_count_7 1.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 3.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 22.9836
BBANDS_20_Real Middle Band 23.558
BBANDS_20_Real Upper Band 24.1324
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.4345328658960684
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 -0.02533867089450048
excess_ret_vs_spy_60 -0.05017141524941615
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry retail_reits
ichimoku_buy 0
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 2.0
macd_buy_count_30 15.0
macd_buy_count_7 2.0
MACD_MACD 0.1257
MACD_MACD_Hist 0.0454
MACD_MACD_Signal 0.0804
macd_sell 0
macd_sell_count_14 12.0
macd_sell_count_30 15.0
macd_sell_count_7 5.0
OBV_OBV 679271073.0
price_vs_roll7 0.023034491119554135
roc_30 0.04056970220112199
roc_7 0.04462738301559788
rolling_avg_30 23.607666666666667
rolling_avg_7 23.56714285714286
RSI_14_RSI 61.9346
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 2.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.013399999999999983
sma_200_gradient_30 0.014616666666666707
sma_200_gradient_7 0.014728571428571615
SMA_200_SMA 21.5563
sma_50_gradient_14 0.006592857142857004
sma_50_gradient_30 0.024153333333333294
sma_50_gradient_7 0.007599999999999544
SMA_50_SMA 23.237
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 11.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 4.0
stock_daily_ret 0.002494802494802384
stock_ret_sum_20 0.01855236740171451
stock_ret_sum_60 0.03373821257227749
sven_beta_buy 0
volatility_30 0.2944742051072269
volatility_7 0.43107285871833045
volume_avg_30 4257602.733333333
volume_avg_7 3510245.285714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 5.0
vwma_buy_count_30 17.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 9.0
vwma_sell_count_30 13.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 0.3129587065798427
xs_z_roc_30 -0.05387291338606572
xs_z_volatility_30 -0.43443687010442633