§ Sven by Tumezi

← Overview

BSX

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 0.135 0 0.219
target_15d_10_perc_gain sector health_care 0.1204 0 0.295
Mean (global + sector) 0.1277 0.257

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.2662 0 0.403
target_30d_10_perc_gain sector health_care 0.3041 1 0.254
Mean (global + sector) 0.2851 0.328

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0437 0 0.178
target_30d_20_perc_gain sector health_care 0.0369 0 0.162
Mean (global + sector) 0.0403 0.17

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.4577 1 0.159
target_60d_10_perc_gain sector health_care 0.4882 1 0.302
Mean (global + sector) 0.4729 0.231

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.108 0 0.266
target_60d_20_perc_gain sector health_care 0.1277 0 0.177
Mean (global + sector) 0.1178 0.221

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0104 0 0.323
target_60d_30_perc_gain sector health_care 0.015 0 0.711
Mean (global + sector) 0.0127 0.517

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 0.1277 0.257
30d / 10% target_30d_10_perc_gain 0.2851 0.328
30d / 20% target_30d_20_perc_gain 0.0403 0.17
60d / 10% target_60d_10_perc_gain 0.4729 0.231
60d / 20% target_60d_20_perc_gain 0.1178 0.221
60d / 30% target_60d_30_perc_gain 0.0127 0.517
Mean across models 0.1761 0.287

Inputs & features (prediction_snapshot)

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

1. open 57.6
2. high 58.51
3. low 57.39
4. close 57.78
5. adjusted close 57.78
6. volume 11739977.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 25.6692
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 30.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 2.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 0.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 52.1856
BBANDS_20_Real Middle Band 56.004
BBANDS_20_Real Upper Band 59.8224
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.18386159128679655
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 -0.1102600414584467
excess_ret_vs_spy_60 -0.33404014797414494
fib_buy_signal 0
gics_sector health_care
gics_sub_industry health_care_equipment
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 5.0
macd_buy_count_30 17.0
macd_buy_count_7 5.0
MACD_MACD -1.6128
MACD_MACD_Hist 0.7353
MACD_MACD_Signal -2.348
macd_sell 0
macd_sell_count_14 9.0
macd_sell_count_30 13.0
macd_sell_count_7 2.0
OBV_OBV 757642389.0
price_vs_roll7 0.035589922163029364
roc_30 -0.06489723256190316
roc_7 0.08895589898228429
rolling_avg_30 58.416000000000004
rolling_avg_7 55.794285714285714
RSI_14_RSI 49.334
rsi_buy 0
rsi_buy_count_14 1.0
rsi_buy_count_30 1.0
rsi_buy_count_7 0.0
rsi_macd_buy 0
rsi_sell 0
rsi_sell_count_14 0.0
rsi_sell_count_30 0.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.2503857142857139
sma_200_gradient_30 -0.23160333333333322
sma_200_gradient_7 -0.24825714285714184
SMA_200_SMA 86.2519
sma_50_gradient_14 -0.35527142857142885
sma_50_gradient_30 -0.3614000000000002
sma_50_gradient_7 -0.30294285714285757
SMA_50_SMA 61.6128
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 99.152
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 11.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 6.0
stock_daily_ret 0.011023622047244164
stock_ret_sum_20 -0.06636900316223171
stock_ret_sum_60 -0.2501305201524513
sven_beta_buy 0
volatility_30 3.957197371183719
volatility_7 1.9292041290174453
volume_avg_30 18080341.266666666
volume_avg_7 15427796.857142856
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 5.0
vwma_buy_count_30 11.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 9.0
vwma_sell_count_30 19.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 0.7525786614321914
xs_z_roc_30 -0.6594811532588286
xs_z_volatility_30 -0.30160669956862957