§ Sven by Tumezi

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DXCM

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 0.2185 0 0.219
target_15d_10_perc_gain sector health_care 0.1454 0 0.295
Mean (global + sector) 0.182 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 0.0549 0 0.178
target_30d_20_perc_gain sector health_care 0.0479 0 0.162
Mean (global + sector) 0.0514 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 0.725 1 0.159
target_60d_10_perc_gain sector health_care 0.4882 1 0.302
Mean (global + sector) 0.6066 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 0.1496 0 0.266
target_60d_20_perc_gain sector health_care 0.1277 0 0.177
Mean (global + sector) 0.1386 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 0.0168 0 0.323
target_60d_30_perc_gain sector health_care 0.0157 0 0.711
Mean (global + sector) 0.0163 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 0.182 0.257
30d / 10% target_30d_10_perc_gain 0.2851 0.328
30d / 20% target_30d_20_perc_gain 0.0514 0.17
60d / 10% target_60d_10_perc_gain 0.6066 0.231
60d / 20% target_60d_20_perc_gain 0.1386 0.221
60d / 30% target_60d_30_perc_gain 0.0163 0.517
Mean across models 0.2133 0.287

Inputs & features (prediction_snapshot)

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

1. open 71.9
2. high 73.05
3. low 71.31
4. close 72.1
5. adjusted close 72.1
6. volume 6727437.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 27.5299
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 12.0
adx_strong_trend_count_30 27.0
adx_strong_trend_count_7 5.0
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 1
bb_sell_count_14 5.0
bb_sell_count_30 5.0
bb_sell_count_7 5.0
BBANDS_20_Real Lower Band 53.2953
BBANDS_20_Real Middle Band 62.328
BBANDS_20_Real Upper Band 71.3607
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.3340782227861622
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 0.12435394196734817
excess_ret_vs_spy_60 -0.09639024217385805
fib_buy_signal 0
gics_sector health_care
gics_sub_industry health_care_equipment
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 11.0
macd_buy_count_30 21.0
macd_buy_count_7 6.0
MACD_MACD 1.8167
MACD_MACD_Hist 1.6208
MACD_MACD_Signal 0.1959
macd_sell 0
macd_sell_count_14 3.0
macd_sell_count_30 9.0
macd_sell_count_7 1.0
OBV_OBV 550983495.0
price_vs_roll7 0.08089006917523478
roc_30 0.12621055920024982
roc_7 0.23100563428376297
rolling_avg_30 62.476
rolling_avg_7 66.70428571428572
RSI_14_RSI 70.0065
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 1.0
rsi_sell_count_30 1.0
rsi_sell_count_7 1.0
sma_200_gradient_14 -0.10142142857142845
sma_200_gradient_30 -0.10819999999999984
sma_200_gradient_7 -0.07117142857142815
SMA_200_SMA 67.9538
sma_50_gradient_14 -0.15234285714285686
sma_50_gradient_30 -0.16781333333333326
sma_50_gradient_7 -0.03674285714285779
SMA_50_SMA 63.4578
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 3.0
stochrsi_buy_count_30 11.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 9.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 6.0
stock_daily_ret 0.0027816411682890507
stock_ret_sum_20 0.16824498026356316
stock_ret_sum_60 -0.01248061435216441
sven_beta_buy 0
volatility_30 3.8059378290588457
volatility_7 5.565988552940092
volume_avg_30 6331115.966666667
volume_avg_7 9609711.142857144
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 9.0
vwma_buy_count_30 12.0
vwma_buy_count_7 6.0
vwma_sell 0
vwma_sell_count_14 5.0
vwma_sell_count_30 18.0
vwma_sell_count_7 1.0
xs_z_price_vs_roll7 2.338732773971386
xs_z_roc_30 0.43789077335587295
xs_z_volatility_30 -0.3070921894253844