§ Sven by Tumezi

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A

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 0.1352 0 0.219
target_15d_10_perc_gain sector health_care 0.1454 0 0.295
Mean (global + sector) 0.1403 0.257

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.1799 0 0.403
target_30d_10_perc_gain sector health_care 0.2681 1 0.254
Mean (global + sector) 0.224 0.328

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0437 0 0.178
target_30d_20_perc_gain sector health_care 0.0479 0 0.162
Mean (global + sector) 0.0458 0.17

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.4039 1 0.159
target_60d_10_perc_gain sector health_care 0.4056 1 0.302
Mean (global + sector) 0.4048 0.231

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.0863 0 0.266
target_60d_20_perc_gain sector health_care 0.1164 0 0.177
Mean (global + sector) 0.1014 0.221

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0104 0 0.323
target_60d_30_perc_gain sector health_care 0.015 0 0.711
Mean (global + sector) 0.0127 0.517

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 0.1403 0.257
30d / 10% target_30d_10_perc_gain 0.224 0.328
30d / 20% target_30d_20_perc_gain 0.0458 0.17
60d / 10% target_60d_10_perc_gain 0.4048 0.231
60d / 20% target_60d_20_perc_gain 0.1014 0.221
60d / 30% target_60d_30_perc_gain 0.0127 0.517
Mean across models 0.1548 0.287

Inputs & features (prediction_snapshot)

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

1. open 115.03
2. high 116.36
3. low 113.675
4. close 114.96
5. adjusted close 114.96
6. volume 2036584.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 20.7615
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 0.0
adx_strong_trend_count_30 9.0
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 0
bb_sell_count_14 0.0
bb_sell_count_30 4.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 109.644
BBANDS_20_Real Middle Band 114.09
BBANDS_20_Real Upper Band 118.536
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.4829079287958292
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 -0.04465599641054652
excess_ret_vs_spy_60 -0.12232408180744736
fib_buy_signal 0
gics_sector health_care
gics_sub_industry life_sciences_tools_&_services
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 3.0
macd_buy_count_30 13.0
macd_buy_count_7 1.0
MACD_MACD -0.7905
MACD_MACD_Hist 0.1189
MACD_MACD_Signal -0.9095
macd_sell 0
macd_sell_count_14 11.0
macd_sell_count_30 17.0
macd_sell_count_7 6.0
OBV_OBV 567230889.0
price_vs_roll7 0.017126534120344372
roc_30 -0.0008691117677733784
roc_7 0.019691325172964236
rolling_avg_30 115.76899999999999
rolling_avg_7 113.02428571428572
RSI_14_RSI 50.7304
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 -0.008421428571430007
sma_200_gradient_30 -0.007600000000000288
sma_200_gradient_7 -0.009442857142857974
SMA_200_SMA 128.9989
sma_50_gradient_14 -0.09177857142857095
sma_50_gradient_30 -0.1648799999999999
sma_50_gradient_7 -0.05672857142857067
SMA_50_SMA 114.7145
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 2.0
stochrsi_buy_count_30 7.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.0014809652408744878
stock_ret_sum_20 -0.0007649581143315265
stock_ret_sum_60 -0.038414453985753716
sven_beta_buy 0
volatility_30 3.372410730897645
volatility_7 1.6383208593218903
volume_avg_30 2146311.033333333
volume_avg_7 2173546.285714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 5.0
vwma_buy_count_30 13.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 9.0
vwma_sell_count_30 17.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 0.10609557457993032
xs_z_roc_30 -0.29182130210624013
xs_z_volatility_30 -0.32281422894887013