§ Sven by Tumezi

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CPT

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 0.0415 0 0.279
Mean (global + sector) 0.0377 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 0.1571 0 0.285
Mean (global + sector) 0.1801 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 0.3216 1 0.307
Mean (global + sector) 0.3677 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 0.0924 0 0.266
target_60d_20_perc_gain sector real_estate 0.1035 0 0.123
Mean (global + sector) 0.098 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 0.0377 0.249
30d / 10% target_30d_10_perc_gain 0.1801 0.344
30d / 20% target_30d_20_perc_gain 0.0109 0.149
60d / 10% target_60d_10_perc_gain 0.3677 0.233
60d / 20% target_60d_20_perc_gain 0.098 0.194
60d / 30% target_60d_30_perc_gain 0.0045 0.373
Mean across models 0.1165 0.257

Inputs & features (prediction_snapshot)

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

1. open 106.46
2. high 108.0
3. low 105.95
4. close 107.47
5. adjusted close 107.47
6. volume 1251785.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 12.1284
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 0.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 1
bb_sell_count_14 1.0
bb_sell_count_30 2.0
bb_sell_count_7 1.0
BBANDS_20_Real Lower Band 102.2939
BBANDS_20_Real Middle Band 104.788
BBANDS_20_Real Upper Band 107.2821
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.2969873147590155
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 0.012341958077541348
excess_ret_vs_spy_60 -0.09382159058019712
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry multi_family_residential_reits
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 10.0
macd_buy_count_30 26.0
macd_buy_count_7 3.0
MACD_MACD 0.971
MACD_MACD_Hist 0.1729
MACD_MACD_Signal 0.7981
macd_sell 0
macd_sell_count_14 4.0
macd_sell_count_30 4.0
macd_sell_count_7 4.0
OBV_OBV 215660179.0
price_vs_roll7 0.021883235078367758
roc_30 0.054144188327611475
roc_7 0.020123398196487896
rolling_avg_30 103.87400000000001
rolling_avg_7 105.16857142857144
RSI_14_RSI 63.4587
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 -0.015978571428572
sma_200_gradient_30 -0.026043333333333387
sma_200_gradient_7 -0.0028285714285719416
SMA_200_SMA 103.7084
sma_50_gradient_14 -0.01844999999999938
sma_50_gradient_30 -0.05275333333333331
sma_50_gradient_7 0.022471428571429492
SMA_50_SMA 101.8722
sma_death_cross 1
sma_death_cross_count_14 14.0
sma_death_cross_count_30 30.0
sma_death_cross_count_7 7.0
sma_golden_cross 0
sma_golden_cross_count_14 0.0
sma_golden_cross_count_30 0.0
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 98.591
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 9.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.012244513516059152
stock_ret_sum_20 0.05623299637375634
stock_ret_sum_60 -0.009911962758503479
sven_beta_buy 0
volatility_30 1.8257555828395773
volatility_7 1.6288485562109887
volume_avg_30 1152097.4666666666
volume_avg_7 1200608.0
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 11.0
vwma_buy_count_30 24.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 3.0
vwma_sell_count_30 6.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 0.2726482523152824
xs_z_roc_30 0.024073986926453923
xs_z_volatility_30 -0.378904317596408