§ Sven by Tumezi

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CDW

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 0.2127 0 0.219
target_15d_10_perc_gain sector information_technology 0.1159 0 0.276
Mean (global + sector) 0.1643 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 0.0605 0 0.178
target_30d_20_perc_gain sector information_technology 0.0706 0 0.245
Mean (global + sector) 0.0656 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 0.5938 1 0.397
Mean (global + sector) 0.5698 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 0.2519 0 0.266
target_60d_20_perc_gain sector information_technology 0.3 0 0.428
Mean (global + sector) 0.2759 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 0.0934 0 0.418
Mean (global + sector) 0.0595 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 0.1643 0.247
30d / 10% target_30d_10_perc_gain 0.3026 0.348
30d / 20% target_30d_20_perc_gain 0.0656 0.211
60d / 10% target_60d_10_perc_gain 0.5698 0.278
60d / 20% target_60d_20_perc_gain 0.2759 0.347
60d / 30% target_60d_30_perc_gain 0.0595 0.371
Mean across models 0.2396 0.3

Inputs & features (prediction_snapshot)

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

1. open 106.25
2. high 111.34
3. low 106.25
4. close 110.82
5. adjusted close 110.82
6. volume 1519649.0
7. dividend amount 0.63
8. split coefficient 1.0
ADX_14_ADX 37.6601
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 25.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 5.0
bb_buy_count_30 5.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 5.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 85.4315
BBANDS_20_Real Middle Band 114.8481
BBANDS_20_Real Upper Band 144.2647
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.0039680448275806884
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 -0.210008419503943
excess_ret_vs_spy_60 -0.15083644286659514
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry technology_distributors
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 0.0
macd_buy_count_30 14.0
macd_buy_count_7 0.0
MACD_MACD -6.0156
MACD_MACD_Hist -0.1009
MACD_MACD_Signal -5.9147
macd_sell 1
macd_sell_count_14 14.0
macd_sell_count_30 16.0
macd_sell_count_7 7.0
OBV_OBV 155314431.0
price_vs_roll7 0.05831841119972947
roc_30 -0.11216442284712835
roc_7 0.11005976095617487
rolling_avg_30 121.35245742485421
rolling_avg_7 104.71328744472217
RSI_14_RSI 44.4283
rsi_buy 0
rsi_buy_count_14 8.0
rsi_buy_count_30 8.0
rsi_buy_count_7 2.0
rsi_macd_buy 0
rsi_sell 0
rsi_sell_count_14 0.0
rsi_sell_count_30 3.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.3327785714285706
sma_200_gradient_30 -0.2652299999999997
sma_200_gradient_7 -0.32325714285714263
SMA_200_SMA 138.0412
sma_50_gradient_14 -0.2972071428571427
sma_50_gradient_30 -0.0905299999999997
sma_50_gradient_7 -0.30459999999999965
SMA_50_SMA 120.9604
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 5.0
stochrsi_buy_count_30 9.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 7.0
stock_daily_ret 0.042758233532933954
stock_ret_sum_20 -0.166117381207728
stock_ret_sum_60 -0.0669268150449015
sven_beta_buy 0
volatility_30 15.572899530817844
volatility_7 3.245724804617621
volume_avg_30 2047425.7333333334
volume_avg_7 1852802.142857143
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 2.0
vwma_buy_count_30 15.0
vwma_buy_count_7 1.0
vwma_sell 0
vwma_sell_count_14 12.0
vwma_sell_count_30 15.0
vwma_sell_count_7 6.0
xs_z_price_vs_roll7 1.5484013846487523
xs_z_roc_30 -0.930897023803326
xs_z_volatility_30 0.11964154355480426