§ Sven by Tumezi

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SMCI

As-of 2026-05-22 · run #10

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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 0.4118 1 0.219
target_15d_10_perc_gain sector information_technology 0.363 1 0.276
Mean (global + sector) 0.3874 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 0.4717 1 0.403
target_30d_10_perc_gain sector information_technology 0.4923 1 0.293
Mean (global + sector) 0.482 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 0.3824 1 0.178
target_30d_20_perc_gain sector information_technology 0.2375 0 0.245
Mean (global + sector) 0.3099 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 0.7059 1 0.159
target_60d_10_perc_gain sector information_technology 0.65 1 0.397
Mean (global + sector) 0.678 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 0.4032 1 0.266
target_60d_20_perc_gain sector information_technology 0.3893 0 0.428
Mean (global + sector) 0.3962 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 0.28 0 0.323
target_60d_30_perc_gain sector information_technology 0.286 0 0.418
Mean (global + sector) 0.283 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 0.3874 0.247
30d / 10% target_30d_10_perc_gain 0.482 0.348
30d / 20% target_30d_20_perc_gain 0.3099 0.211
60d / 10% target_60d_10_perc_gain 0.678 0.278
60d / 20% target_60d_20_perc_gain 0.3962 0.347
60d / 30% target_60d_30_perc_gain 0.283 0.371
Mean across models 0.4228 0.3

Inputs & features (prediction_snapshot)

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

1. open 33.8
2. high 35.935
3. low 33.68
4. close 35.58
5. adjusted close 35.58
6. volume 39440978.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 21.9702
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 0.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 3.0
bb_sell_count_30 3.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 25.0655
BBANDS_20_Real Middle Band 31.08
BBANDS_20_Real Upper Band 37.0945
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.5695631045929319
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 0.19923663788682633
excess_ret_vs_spy_60 0.1608178660734053
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry technology_hardware,_storage_&_peripherals
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 12.0
macd_buy_count_30 28.0
macd_buy_count_7 5.0
MACD_MACD 1.577
MACD_MACD_Hist 0.1781
MACD_MACD_Signal 1.3989
macd_sell 0
macd_sell_count_14 2.0
macd_sell_count_30 2.0
macd_sell_count_7 2.0
OBV_OBV 1698271868.0
price_vs_roll7 0.09246425125007618
roc_30 0.40855106888361026
roc_7 0.11187499999999995
rolling_avg_30 30.042333333333332
rolling_avg_7 32.568571428571424
RSI_14_RSI 64.4489
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 -0.1111928571428571
sma_200_gradient_30 -0.10992000000000009
sma_200_gradient_7 -0.12089999999999991
SMA_200_SMA 36.0834
sma_50_gradient_14 0.01784285714285692
sma_50_gradient_30 -0.03058666666666667
sma_50_gradient_7 0.015199999999999594
SMA_50_SMA 27.9046
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 98.7307
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 8.0
stochrsi_buy_count_7 3.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 15.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.06335923490735196
stock_ret_sum_20 0.24312767618304132
stock_ret_sum_60 0.24472749389509896
sven_beta_buy 0
volatility_30 2.9720974636313415
volatility_7 1.8346337379398643
volume_avg_30 35858172.9
volume_avg_7 30701339.285714287
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 10.0
vwma_buy_count_30 22.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 4.0
vwma_sell_count_30 8.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 2.743994957609349
xs_z_roc_30 2.059135758794323
xs_z_volatility_30 -0.3373317551575693