§ Sven by Tumezi

← Overview

AMGN

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 0.0836 0 0.219
target_15d_10_perc_gain sector health_care 0.0774 0 0.295
Mean (global + sector) 0.0805 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 0.1931 0 0.403
target_30d_10_perc_gain sector health_care 0.1516 0 0.254
Mean (global + sector) 0.1723 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 0.0102 0 0.162
Mean (global + sector) 0.027 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 0.3835 1 0.159
target_60d_10_perc_gain sector health_care 0.3223 1 0.302
Mean (global + sector) 0.3529 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 0.0863 0 0.266
target_60d_20_perc_gain sector health_care 0.0574 0 0.177
Mean (global + sector) 0.0719 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 0.0 0 0.711
Mean (global + sector) 0.0052 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 0.0805 0.257
30d / 10% target_30d_10_perc_gain 0.1723 0.328
30d / 20% target_30d_20_perc_gain 0.027 0.17
60d / 10% target_60d_10_perc_gain 0.3529 0.231
60d / 20% target_60d_20_perc_gain 0.0719 0.221
60d / 30% target_60d_30_perc_gain 0.0052 0.517
Mean across models 0.1183 0.287

Inputs & features (prediction_snapshot)

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

1. open 340.26
2. high 343.8
3. low 338.4
4. close 339.3
5. adjusted close 339.3
6. volume 1567235.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 13.2442
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 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 320.4856
BBANDS_20_Real Middle Band 331.5816
BBANDS_20_Real Upper Band 342.6776
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.45091059182790766
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 -0.04877351285907605
excess_ret_vs_spy_60 -0.18115375460335137
fib_buy_signal 0
gics_sector health_care
gics_sub_industry biotechnology
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 8.0
macd_buy_count_30 18.0
macd_buy_count_7 7.0
MACD_MACD -2.4531
MACD_MACD_Hist 1.6566
MACD_MACD_Signal -4.1097
macd_sell 0
macd_sell_count_14 6.0
macd_sell_count_30 12.0
macd_sell_count_7 0.0
OBV_OBV 362481493.0
price_vs_roll7 0.02225482460509598
roc_30 -0.025923542526300802
roc_7 0.016258933281075638
rolling_avg_30 336.4231060122252
rolling_avg_7 331.913327120831
RSI_14_RSI 53.7846
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 0.0
rsi_sell_count_30 0.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.19516428571428637
sma_200_gradient_30 0.24593333333333475
sma_200_gradient_7 0.2146714285714292
SMA_200_SMA 322.5144
sma_50_gradient_14 -0.8872642857142888
sma_50_gradient_30 -0.6124366666666674
sma_50_gradient_7 -0.7737142857142852
SMA_50_SMA 341.5336
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 2.0
stochrsi_buy_count_30 11.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 9.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 5.0
stock_daily_ret 0.005571691067512319
stock_ret_sum_20 -0.004882474562861061
stock_ret_sum_60 -0.09724412678165772
sven_beta_buy 0
volatility_30 8.535843451789741
volatility_7 5.437260063661743
volume_avg_30 2620372.1333333333
volume_avg_7 2571858.8571428573
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 7.0
vwma_buy_count_30 12.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 7.0
vwma_sell_count_30 18.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 0.2856592091194106
xs_z_roc_30 -0.43568790586009504
xs_z_volatility_30 -0.1355602057077681