§ Sven by Tumezi

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GLW

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 0.1597 0 0.219
target_15d_10_perc_gain sector information_technology 0.0243 0 0.276
Mean (global + sector) 0.092 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 0.2713 0 0.403
target_30d_10_perc_gain sector information_technology 0.1834 0 0.293
Mean (global + sector) 0.2273 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 0.0605 0 0.178
target_30d_20_perc_gain sector information_technology 0.0182 0 0.245
Mean (global + sector) 0.0394 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 0.5458 1 0.159
target_60d_10_perc_gain sector information_technology 0.4048 1 0.397
Mean (global + sector) 0.4753 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 0.0934 0 0.418
Mean (global + sector) 0.0545 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 0.092 0.247
30d / 10% target_30d_10_perc_gain 0.2273 0.348
30d / 20% target_30d_20_perc_gain 0.0394 0.211
60d / 10% target_60d_10_perc_gain 0.4753 0.278
60d / 20% target_60d_20_perc_gain 0.1263 0.347
60d / 30% target_60d_30_perc_gain 0.0545 0.371
Mean across models 0.1691 0.3

Inputs & features (prediction_snapshot)

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

1. open 194.35
2. high 194.98
3. low 189.34
4. close 194.05
5. adjusted close 194.05
6. volume 9630943.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 26.6571
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 10.0
adx_strong_trend_count_30 10.0
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 4.0
bb_sell_count_30 5.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 144.7491
BBANDS_20_Real Middle Band 180.0835
BBANDS_20_Real Upper Band 215.4179
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.5777932503059683
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 0.08627450416525484
excess_ret_vs_spy_60 0.24296452003278324
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry electronic_components
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 8.0
macd_buy_count_30 17.0
macd_buy_count_7 3.0
MACD_MACD 8.0781
MACD_MACD_Hist -0.8359
MACD_MACD_Signal 8.914
macd_sell 1
macd_sell_count_14 6.0
macd_sell_count_30 13.0
macd_sell_count_7 4.0
OBV_OBV 765931031.0
price_vs_roll7 0.028196200136244576
roc_30 0.1332048586778789
roc_7 -0.06033606120768964
rolling_avg_30 176.44566666666665
rolling_avg_7 188.72857142857146
RSI_14_RSI 58.6891
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 2.0
rsi_sell_count_30 3.0
rsi_sell_count_7 1.0
sma_200_gradient_14 0.6533071428571426
sma_200_gradient_30 0.6073433333333337
sma_200_gradient_7 0.6319428571428582
SMA_200_SMA 109.6623
sma_50_gradient_14 0.9347571428571432
sma_50_gradient_30 0.894453333333333
sma_50_gradient_7 1.1183714285714277
SMA_50_SMA 162.3878
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 66.3267
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 12.0
stochrsi_buy_count_7 4.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 2.0
stock_daily_ret 0.011256449007243763
stock_ret_sum_20 0.13016554246146983
stock_ret_sum_60 0.3268741478544769
sven_beta_buy 0
volatility_30 15.748998147298318
volatility_7 11.289086807730184
volume_avg_30 13410042.333333334
volume_avg_7 13371925.0
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 10.0
vwma_buy_count_30 20.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 4.0
vwma_sell_count_30 10.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 0.49369246848900944
xs_z_roc_30 0.47805317501576206
xs_z_volatility_30 0.12602783271661275