§ Sven by Tumezi

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CDNS

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 0.0655 0 0.276
Mean (global + sector) 0.1126 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 0.3129 0 0.403
target_30d_10_perc_gain sector information_technology 0.2923 0 0.293
Mean (global + sector) 0.3026 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 0.0182 0 0.245
Mean (global + sector) 0.0348 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 0.5523 1 0.159
target_60d_10_perc_gain sector information_technology 0.5397 1 0.397
Mean (global + sector) 0.546 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 0.1732 0 0.428
Mean (global + sector) 0.1571 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 0.0255 0 0.323
target_60d_30_perc_gain sector information_technology 0.0396 0 0.418
Mean (global + sector) 0.0326 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 0.1126 0.247
30d / 10% target_30d_10_perc_gain 0.3026 0.348
30d / 20% target_30d_20_perc_gain 0.0348 0.211
60d / 10% target_60d_10_perc_gain 0.546 0.278
60d / 20% target_60d_20_perc_gain 0.1571 0.347
60d / 30% target_60d_30_perc_gain 0.0326 0.371
Mean across models 0.1976 0.3

Inputs & features (prediction_snapshot)

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

1. open 361.88
2. high 381.55
3. low 361.535
4. close 373.59
5. adjusted close 373.59
6. volume 2206625.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 17.8986
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 0
bb_sell_count_14 0.0
bb_sell_count_30 6.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 324.6445
BBANDS_20_Real Middle Band 349.1945
BBANDS_20_Real Upper Band 373.7445
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.5183583739190839
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 0.07569929364823402
excess_ret_vs_spy_60 0.1615502735794766
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry application_software
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 8.0
macd_buy_count_30 24.0
macd_buy_count_7 1.0
MACD_MACD 11.8206
MACD_MACD_Hist -0.7088
MACD_MACD_Signal 12.5294
macd_sell 1
macd_sell_count_14 6.0
macd_sell_count_30 6.0
macd_sell_count_7 6.0
OBV_OBV 620373921.0
price_vs_roll7 0.05998873184631215
roc_30 0.40627117368064414
roc_7 0.053701875616979144
rolling_avg_30 336.99066666666664
rolling_avg_7 352.44714285714286
RSI_14_RSI 68.8363
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 3.0
rsi_sell_count_30 4.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.05683571428571505
sma_200_gradient_30 0.04238333333333344
sma_200_gradient_7 -0.055171428571432965
SMA_200_SMA 322.6094
sma_50_gradient_14 1.1696571428571434
sma_50_gradient_30 0.8772333333333335
sma_50_gradient_7 1.1117142857142912
SMA_50_SMA 315.1496
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 87.8232
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 6.0
stochrsi_buy_count_30 8.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 17.0
stochrsi_sell_count_7 2.0
stock_daily_ret 0.0422083356580929
stock_ret_sum_20 0.11959033194444901
stock_ret_sum_60 0.24545990140117024
sven_beta_buy 0
volatility_30 22.008476413036483
volatility_7 11.253369442504562
volume_avg_30 2417976.966666667
volume_avg_7 1825740.5714285714
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 11.0
vwma_buy_count_30 27.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 3.0
vwma_sell_count_30 3.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 1.6068865361897045
xs_z_roc_30 2.0460442308755016
xs_z_volatility_30 0.35303040097070226