§ Sven by Tumezi

← Overview

CSCO

As-of 2026-05-22 · run #10

Visualise data

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 0.139 0 0.219
target_15d_10_perc_gain sector information_technology 0.0243 0 0.276
Mean (global + sector) 0.0817 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 0.2756 0 0.403
target_30d_10_perc_gain sector information_technology 0.1834 0 0.293
Mean (global + sector) 0.2295 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 0.5458 1 0.159
target_60d_10_perc_gain sector information_technology 0.4048 1 0.397
Mean (global + sector) 0.4753 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 0.097 0 0.266
target_60d_20_perc_gain sector information_technology 0.1285 0 0.428
Mean (global + sector) 0.1127 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 0.0115 0 0.323
target_60d_30_perc_gain sector information_technology 0.0396 0 0.418
Mean (global + sector) 0.0256 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 0.0817 0.247
30d / 10% target_30d_10_perc_gain 0.2295 0.348
30d / 20% target_30d_20_perc_gain 0.0348 0.211
60d / 10% target_60d_10_perc_gain 0.4753 0.278
60d / 20% target_60d_20_perc_gain 0.1127 0.347
60d / 30% target_60d_30_perc_gain 0.0256 0.371
Mean across models 0.1599 0.3

Inputs & features (prediction_snapshot)

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

1. open 118.455
2. high 120.79
3. low 117.68
4. close 120.41
5. adjusted close 120.41
6. volume 22237164.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 46.9077
adx_sma_buy 1
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 0
bb_sell_count_14 6.0
bb_sell_count_30 10.0
bb_sell_count_7 3.0
BBANDS_20_Real Lower Band 77.9445
BBANDS_20_Real Middle Band 101.809
BBANDS_20_Real Upper Band 125.6735
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.28372524034877766
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 0.27120882887123476
excess_ret_vs_spy_60 0.37280032054186696
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry communications_equipment
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 14.0
macd_buy_count_30 30.0
macd_buy_count_7 7.0
MACD_MACD 8.7583
MACD_MACD_Hist 1.6992
MACD_MACD_Signal 7.0591
macd_sell 0
macd_sell_count_14 0.0
macd_sell_count_30 0.0
macd_sell_count_7 0.0
OBV_OBV 6219900723.0
price_vs_roll7 0.026688267394261445
roc_30 0.46448552663585496
roc_7 0.18199666241287904
rolling_avg_30 96.63533333333334
rolling_avg_7 117.27999999999999
RSI_14_RSI 80.8703
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 12.0
rsi_sell_count_30 18.0
rsi_sell_count_7 7.0
sma_200_gradient_14 0.19878571428571437
sma_200_gradient_30 0.14738333333333314
sma_200_gradient_7 0.25157142857142795
SMA_200_SMA 77.2851
sma_50_gradient_14 0.5730214285714287
sma_50_gradient_30 0.34627333333333327
sma_50_gradient_7 0.7845571428571431
SMA_50_SMA 89.7769
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 0.006491488605770184
STOCHRSI_14_FastD 18.7206
STOCHRSI_14_FastK 33.7953
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 15.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.018697123519458403
stock_ret_sum_20 0.31509986716744975
stock_ret_sum_60 0.4567099483635606
sven_beta_buy 0
volatility_30 12.512001061968439
volatility_7 2.2107917133954245
volume_avg_30 23424296.866666667
volume_avg_7 33959727.428571425
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 14.0
vwma_buy_count_30 30.0
vwma_buy_count_7 7.0
vwma_sell 0
vwma_sell_count_14 0.0
vwma_sell_count_30 0.0
vwma_sell_count_7 0.0
xs_z_price_vs_roll7 0.4408932199681468
xs_z_roc_30 2.3803204844496864
xs_z_volatility_30 0.008636794581227396