§ Sven by Tumezi

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MRNA

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 0.3245 0 0.403
target_30d_10_perc_gain sector health_care 0.3041 1 0.254
Mean (global + sector) 0.3143 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 0.1164 0 0.162
Mean (global + sector) 0.0857 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 0.4833 1 0.159
target_60d_10_perc_gain sector health_care 0.4444 1 0.302
Mean (global + sector) 0.4639 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 0.1679 0 0.177
Mean (global + sector) 0.1587 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 0.0524 0 0.323
target_60d_30_perc_gain sector health_care 0.1546 0 0.711
Mean (global + sector) 0.1035 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 0.3143 0.328
30d / 20% target_30d_20_perc_gain 0.0857 0.17
60d / 10% target_60d_10_perc_gain 0.4639 0.231
60d / 20% target_60d_20_perc_gain 0.1587 0.221
60d / 30% target_60d_30_perc_gain 0.1035 0.517
Mean across models 0.218 0.287

Inputs & features (prediction_snapshot)

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

1. open 47.54
2. high 48.35
3. low 46.77
4. close 46.88
5. adjusted close 46.88
6. volume 4223676.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 16.3698
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 2.0
adx_strong_trend_count_30 2.0
adx_strong_trend_count_7 0.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 1.0
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 43.5073
BBANDS_20_Real Middle Band 48.5145
BBANDS_20_Real Upper Band 53.5217
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.49437477716008643
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 -0.10724858618264743
excess_ret_vs_spy_60 -0.1344442538316757
fib_buy_signal 0
gics_sector health_care
gics_sub_industry biotechnology
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 7.0
macd_buy_count_30 14.0
macd_buy_count_7 3.0
MACD_MACD -0.8407
MACD_MACD_Hist -0.2877
MACD_MACD_Signal -0.5531
macd_sell 1
macd_sell_count_14 7.0
macd_sell_count_30 16.0
macd_sell_count_7 4.0
OBV_OBV 610815787.0
price_vs_roll7 -0.020885547201357046
roc_30 -0.0800627943485086
roc_7 -0.07021023403411342
rolling_avg_30 50.149
rolling_avg_7 47.879999999999995
RSI_14_RSI 43.2531
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 0.09093571428571424
sma_200_gradient_30 0.09641666666666684
sma_200_gradient_7 0.09382857142857201
SMA_200_SMA 37.0506
sma_50_gradient_14 -0.07749285714285696
sma_50_gradient_30 0.04192000000000012
sma_50_gradient_7 -0.1402000000000001
SMA_50_SMA 50.6238
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 65.0936
STOCHRSI_14_FastK 59.446
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 11.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 3.0
stochrsi_sell_count_30 8.0
stochrsi_sell_count_7 0.0
stock_daily_ret -0.008040626322471378
stock_ret_sum_20 -0.06335754788643244
stock_ret_sum_60 -0.05053462600998204
sven_beta_buy 0
volatility_30 3.2706672840272075
volatility_7 1.421771195764252
volume_avg_30 7350829.866666666
volume_avg_7 5591787.142857143
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 4.0
vwma_buy_count_30 13.0
vwma_buy_count_7 0.0
vwma_sell 1
vwma_sell_count_14 10.0
vwma_sell_count_30 17.0
vwma_sell_count_7 7.0
xs_z_price_vs_roll7 -1.224871830412067
xs_z_roc_30 -0.7465642679895663
xs_z_volatility_30 -0.32650399713115313