§ Sven by Tumezi

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NSC

As-of 2026-06-08 · run #14

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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 0.1061 0 0.587
target_15d_10_perc_gain sector industrials 0.0855 0 0.528
Mean (global + sector) 0.0958 0.558

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.1263 0 0.381
target_30d_10_perc_gain sector industrials 0.0637 0 0.324
Mean (global + sector) 0.095 0.353

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0178 0 0.661
target_30d_20_perc_gain sector industrials 0.0192 0 0.238
Mean (global + sector) 0.0185 0.449

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.3787 1 0.321
target_60d_10_perc_gain sector industrials 0.2711 0 0.276
Mean (global + sector) 0.3249 0.299

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.112 0 0.509
target_60d_20_perc_gain sector industrials 0.042 0 0.238
Mean (global + sector) 0.077 0.373

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0064 0 0.683
target_60d_30_perc_gain sector industrials 0.0387 0 0.161
Mean (global + sector) 0.0225 0.422

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 0.0958 0.558
30d / 10% target_30d_10_perc_gain 0.095 0.353
30d / 20% target_30d_20_perc_gain 0.0185 0.449
60d / 10% target_60d_10_perc_gain 0.3249 0.299
60d / 20% target_60d_20_perc_gain 0.077 0.373
60d / 30% target_60d_30_perc_gain 0.0225 0.422
Mean across models 0.1056 0.409

Inputs & features (prediction_snapshot)

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

1. open 315.02
2. high 315.5
3. low 309.275
4. close 309.93
5. adjusted close 309.93
6. volume 1151668.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 15.6761
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 2.0
bb_sell_count_30 2.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 301.4092
BBANDS_20_Real Middle Band 312.5425
BBANDS_20_Real Upper Band 323.6758
cal_dow 0.0
cal_is_month_end 0.0
cal_month 6.0
corr_spy_60 0.0913097613212444
econ_cpi_value 333.02
econ_fed_funds_value 3.63
econ_tsy_10y_value 4.48
econ_tsy_3m_value 3.69
econ_unemployment_value 4.3
excess_ret_vs_spy_20 -0.006575343267623102
excess_ret_vs_spy_60 -0.03557472115023297
fib_buy_signal 0
gics_sector industrials
gics_sub_industry rail_transportation
ichimoku_buy 0
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 1.0
macd_buy_count_30 10.0
macd_buy_count_7 0.0
MACD_MACD 0.096
MACD_MACD_Hist -0.9773
MACD_MACD_Signal 1.0733
macd_sell 1
macd_sell_count_14 13.0
macd_sell_count_30 20.0
macd_sell_count_7 7.0
OBV_OBV 467766757.0
price_vs_roll7 0.007504585877814884
roc_30 -0.026395795288066237
roc_7 0.006658438352604934
rolling_avg_30 312.8655011062889
rolling_avg_7 307.62142857142857
RSI_14_RSI 49.6352
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 1.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.17389285714285815
sma_200_gradient_30 0.20184000000000044
sma_200_gradient_7 0.1468571428571457
SMA_200_SMA 292.9078
sma_50_gradient_14 0.487564285714285
sma_50_gradient_30 0.23740333333333297
sma_50_gradient_7 0.5250142857142838
SMA_50_SMA 305.9205
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 0.008076868200159373
STOCHRSI_14_FastD 86.1616
STOCHRSI_14_FastK 58.4848
stochrsi_buy 0
stochrsi_buy_count_14 7.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 4.0
stochrsi_sell_count_30 8.0
stochrsi_sell_count_7 2.0
stock_daily_ret -0.011229861221885407
stock_ret_sum_20 -0.0037827644933541293
stock_ret_sum_60 0.07406803002044515
sven_beta_buy 0
volatility_30 4.830911039240208
volatility_7 3.134275187696502
volume_avg_30 1199616.1
volume_avg_7 1131199.142857143
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 5.0
vwma_buy_count_30 16.0
vwma_buy_count_7 1.0
vwma_sell 1
vwma_sell_count_14 9.0
vwma_sell_count_30 14.0
vwma_sell_count_7 6.0
xs_z_price_vs_roll7 0.5137185206140648
xs_z_roc_30 -0.3322906993256655
xs_z_volatility_30 -0.27799100734691184