§ Sven by Tumezi

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AAPL

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 0.1377 0 0.219
target_15d_10_perc_gain sector information_technology 0.044 0 0.276
Mean (global + sector) 0.0908 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 0.2085 0 0.403
target_30d_10_perc_gain sector information_technology 0.1834 0 0.293
Mean (global + sector) 0.1959 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 0.0251 0 0.178
target_30d_20_perc_gain sector information_technology 0.0067 0 0.245
Mean (global + sector) 0.0159 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 0.4905 1 0.159
target_60d_10_perc_gain sector information_technology 0.4509 1 0.397
Mean (global + sector) 0.4707 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 0.1409 0 0.266
target_60d_20_perc_gain sector information_technology 0.1117 0 0.428
Mean (global + sector) 0.1263 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 0.0156 0 0.323
target_60d_30_perc_gain sector information_technology 0.0088 0 0.418
Mean (global + sector) 0.0122 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 0.0908 0.247
30d / 10% target_30d_10_perc_gain 0.1959 0.348
30d / 20% target_30d_20_perc_gain 0.0159 0.211
60d / 10% target_60d_10_perc_gain 0.4707 0.278
60d / 20% target_60d_20_perc_gain 0.1263 0.347
60d / 30% target_60d_30_perc_gain 0.0122 0.371
Mean across models 0.152 0.3

Inputs & features (prediction_snapshot)

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

1. open 306.12
2. high 311.4
3. low 305.84
4. close 308.82
5. adjusted close 308.82
6. volume 43670223.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 37.0023
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 8.0
adx_strong_trend_count_30 8.0
adx_strong_trend_count_7 7.0
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 7.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 264.1629
BBANDS_20_Real Middle Band 289.2175
BBANDS_20_Real Upper Band 314.272
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.6028942959639813
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 0.08917853495061123
excess_ret_vs_spy_60 0.04640419547609098
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 14.0
macd_buy_count_30 30.0
macd_buy_count_7 7.0
MACD_MACD 10.0395
MACD_MACD_Hist 0.9909
MACD_MACD_Signal 9.0487
macd_sell 0
macd_sell_count_14 0.0
macd_sell_count_30 0.0
macd_sell_count_7 0.0
OBV_OBV 97827283494.0
price_vs_roll7 0.023885644457702915
roc_30 0.18667417574820688
roc_7 0.03329206678488972
rolling_avg_30 281.8951281105991
rolling_avg_7 301.61571428571426
RSI_14_RSI 78.6306
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 11.0
rsi_sell_count_30 11.0
rsi_sell_count_7 7.0
sma_200_gradient_14 0.4346571428571439
sma_200_gradient_30 0.36715000000000086
sma_200_gradient_7 0.4766285714285751
SMA_200_SMA 261.0869
sma_50_gradient_14 0.6525071428571445
sma_50_gradient_30 0.32521333333333474
sma_50_gradient_7 0.8441000000000015
SMA_50_SMA 270.3577
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 89.9568
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 2.0
stochrsi_buy_count_30 5.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 10.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.012557788779959944
stock_ret_sum_20 0.13306957324682622
stock_ret_sum_60 0.13031382329778463
sven_beta_buy 0
volatility_30 15.128362985613364
volatility_7 4.051023974028306
volume_avg_30 46931726.7
volume_avg_7 41551071.85714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 14.0
vwma_buy_count_30 30.0
vwma_buy_count_7 7.0
vwma_sell 0
vwma_sell_count_14 0.0
vwma_sell_count_30 0.0
vwma_sell_count_7 0.0
xs_z_price_vs_roll7 0.3427612669852736
xs_z_roc_30 0.7850826631763715
xs_z_volatility_30 0.10352024188073942