§ Sven by Tumezi

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LRCX

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 0.1085 0 0.276
Mean (global + sector) 0.1341 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 0.2945 0 0.403
target_30d_10_perc_gain sector information_technology 0.3308 1 0.293
Mean (global + sector) 0.3127 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 0.1328 0 0.178
target_30d_20_perc_gain sector information_technology 0.0182 0 0.245
Mean (global + sector) 0.0755 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 0.5397 1 0.397
Mean (global + sector) 0.5428 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 0.1732 0 0.428
Mean (global + sector) 0.1571 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 0.0502 0 0.323
target_60d_30_perc_gain sector information_technology 0.0934 0 0.418
Mean (global + sector) 0.0718 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 0.1341 0.247
30d / 10% target_30d_10_perc_gain 0.3127 0.348
30d / 20% target_30d_20_perc_gain 0.0755 0.211
60d / 10% target_60d_10_perc_gain 0.5428 0.278
60d / 20% target_60d_20_perc_gain 0.1571 0.347
60d / 30% target_60d_30_perc_gain 0.0718 0.371
Mean across models 0.2157 0.3

Inputs & features (prediction_snapshot)

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

1. open 305.725
2. high 309.98
3. low 303.18
4. close 305.35
5. adjusted close 305.35
6. volume 7859187.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 17.5754
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 5.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 243.8358
BBANDS_20_Real Middle Band 280.088
BBANDS_20_Real Upper Band 316.3402
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.7605025453556091
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 0.10023235055462432
excess_ret_vs_spy_60 0.20495387619706462
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry semiconductor_materials_&_equipment
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 9.0
macd_buy_count_30 20.0
macd_buy_count_7 3.0
MACD_MACD 11.4767
MACD_MACD_Hist 0.357
MACD_MACD_Signal 11.1197
macd_sell 0
macd_sell_count_14 5.0
macd_sell_count_30 10.0
macd_sell_count_7 4.0
OBV_OBV 6548697211.0
price_vs_roll7 0.05040075876336925
roc_30 0.1581203064552832
roc_7 0.03354318981857585
rolling_avg_30 274.95433333333335
rolling_avg_7 290.6985714285714
RSI_14_RSI 63.6121
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 0.9660428571428566
sma_200_gradient_30 0.8846233333333335
sma_200_gradient_7 0.9699142857142858
SMA_200_SMA 188.2646
sma_50_gradient_14 1.3173142857142872
sma_50_gradient_30 0.9245200000000001
sma_50_gradient_7 1.5518571428571428
SMA_50_SMA 255.8068
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 84.5981
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 12.0
stochrsi_buy_count_7 3.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 9.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.010289835892006494
stock_ret_sum_20 0.1441233888508393
stock_ret_sum_60 0.28886350401875827
sven_beta_buy 0
volatility_30 16.949877363675117
volatility_7 12.377257946965544
volume_avg_30 9274518.9
volume_avg_7 8354963.142857143
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 12.0
vwma_buy_count_30 22.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 2.0
vwma_sell_count_30 8.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 1.2711701215756983
xs_z_roc_30 0.6211217159572353
xs_z_volatility_30 0.169578214187319