§ Sven by Tumezi

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NTAP

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 0.1597 0 0.219
target_15d_10_perc_gain sector information_technology 0.058 0 0.276
Mean (global + sector) 0.1088 0.247

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.2581 0 0.403
target_30d_10_perc_gain sector information_technology 0.2923 0 0.293
Mean (global + sector) 0.2752 0.348

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0513 0 0.178
target_30d_20_perc_gain sector information_technology 0.0553 0 0.245
Mean (global + sector) 0.0533 0.211

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.5458 1 0.159
target_60d_10_perc_gain sector information_technology 0.5397 1 0.397
Mean (global + sector) 0.5428 0.278

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.1409 0 0.266
target_60d_20_perc_gain sector information_technology 0.1875 0 0.428
Mean (global + sector) 0.1642 0.347

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0167 0 0.323
target_60d_30_perc_gain sector information_technology 0.0934 0 0.418
Mean (global + sector) 0.0551 0.371

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 0.1088 0.247
30d / 10% target_30d_10_perc_gain 0.2752 0.348
30d / 20% target_30d_20_perc_gain 0.0533 0.211
60d / 10% target_60d_10_perc_gain 0.5428 0.278
60d / 20% target_60d_20_perc_gain 0.1642 0.347
60d / 30% target_60d_30_perc_gain 0.0551 0.371
Mean across models 0.1999 0.3

Inputs & features (prediction_snapshot)

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

1. open 123.62
2. high 141.75
3. low 122.695
4. close 139.36
5. adjusted close 139.36
6. volume 6668173.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 36.5593
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 14.0
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 1
bb_sell_count_14 1.0
bb_sell_count_30 3.0
bb_sell_count_7 1.0
BBANDS_20_Real Lower Band 102.6879
BBANDS_20_Real Middle Band 116.5952
BBANDS_20_Real Upper Band 130.5026
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.21594880246309478
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 0.2149064243258163
excess_ret_vs_spy_60 0.2801370689115671
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry technology_hardware,_storage_&_peripherals
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 14.0
macd_buy_count_30 27.0
macd_buy_count_7 7.0
MACD_MACD 5.6759
MACD_MACD_Hist 1.3956
MACD_MACD_Signal 4.2803
macd_sell 0
macd_sell_count_14 0.0
macd_sell_count_30 3.0
macd_sell_count_7 0.0
OBV_OBV 1013003851.0
price_vs_roll7 0.12995685286536607
roc_30 0.45272594600229343
roc_7 0.17524034407151312
rolling_avg_30 112.81516666666667
rolling_avg_7 123.33214285714287
RSI_14_RSI 83.7831
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 1
rsi_sell_count_14 7.0
rsi_sell_count_30 7.0
rsi_sell_count_7 6.0
sma_200_gradient_14 0.0806357142857144
sma_200_gradient_30 0.04511333333333359
sma_200_gradient_7 0.10642857142857208
SMA_200_SMA 109.1418
sma_50_gradient_14 0.40797857142857097
sma_50_gradient_30 0.2613
sma_50_gradient_7 0.4915857142857151
SMA_50_SMA 108.0304
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 1
sma_overlap_30 1
sma_overlap_7 1
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 66.6667
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 2.0
stochrsi_buy_count_30 6.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 9.0
stochrsi_sell_count_30 19.0
stochrsi_sell_count_7 6.0
stock_daily_ret 0.12436968010004446
stock_ret_sum_20 0.2587974626220313
stock_ret_sum_60 0.36404669673326073
sven_beta_buy 0
volatility_30 8.386023315031782
volatility_7 7.239120490512508
volume_avg_30 2300057.7333333334
volume_avg_7 3252571.5714285714
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 14.0
vwma_buy_count_30 28.0
vwma_buy_count_7 7.0
vwma_sell 0
vwma_sell_count_14 0.0
vwma_sell_count_30 2.0
vwma_sell_count_7 0.0
xs_z_price_vs_roll7 4.05677313084271
xs_z_roc_30 2.3127950657472764
xs_z_volatility_30 -0.14099349493354754