§ Sven by Tumezi

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ORCL

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 0.242 1 0.219
target_15d_10_perc_gain sector information_technology 0.1238 0 0.276
Mean (global + sector) 0.1829 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 0.3129 0 0.403
target_30d_10_perc_gain sector information_technology 0.2923 0 0.293
Mean (global + sector) 0.3026 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 0.0563 0 0.245
Mean (global + sector) 0.0584 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 0.2519 0 0.266
target_60d_20_perc_gain sector information_technology 0.1732 0 0.428
Mean (global + sector) 0.2125 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 0.1829 0.247
30d / 10% target_30d_10_perc_gain 0.3026 0.348
30d / 20% target_30d_20_perc_gain 0.0584 0.211
60d / 10% target_60d_10_perc_gain 0.5428 0.278
60d / 20% target_60d_20_perc_gain 0.2125 0.347
60d / 30% target_60d_30_perc_gain 0.0718 0.371
Mean across models 0.2285 0.3

Inputs & features (prediction_snapshot)

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

1. open 191.67
2. high 197.0
3. low 191.1
4. close 192.08
5. adjusted close 192.08
6. volume 10875803.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 27.3372
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 13.0
adx_strong_trend_count_30 16.0
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 0.0
bb_sell_count_30 4.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 162.4087
BBANDS_20_Real Middle Band 184.1625
BBANDS_20_Real Upper Band 205.9163
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.44045087708703073
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 0.0679334342207446
excess_ret_vs_spy_60 0.1993379737950075
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry application_software
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 9.0
macd_buy_count_30 21.0
macd_buy_count_7 2.0
MACD_MACD 6.3642
MACD_MACD_Hist -0.9058
MACD_MACD_Signal 7.27
macd_sell 1
macd_sell_count_14 5.0
macd_sell_count_30 9.0
macd_sell_count_7 5.0
OBV_OBV 2509961936.0
price_vs_roll7 0.013507809202189858
roc_30 0.3909768991237599
roc_7 0.01222596964586864
rolling_avg_30 180.69633333333334
rolling_avg_7 189.51999999999998
RSI_14_RSI 59.4708
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 3.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.27644999999999903
sma_200_gradient_30 -0.27466999999999947
sma_200_gradient_7 -0.30217142857142676
SMA_200_SMA 206.9042
sma_50_gradient_14 0.8027928571428576
sma_50_gradient_30 0.56367
sma_50_gradient_7 0.7062714285714264
SMA_50_SMA 167.0179
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 63.7008
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 4.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 12.0
stochrsi_sell_count_7 1.0
stock_daily_ret 0.012172630025820697
stock_ret_sum_20 0.1118244725169596
stock_ret_sum_60 0.28324760161670115
sven_beta_buy 0
volatility_30 11.499583045915916
volatility_7 4.6681616652838045
volume_avg_30 27939907.0
volume_avg_7 16100720.0
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 13.0
vwma_buy_count_30 25.0
vwma_buy_count_7 6.0
vwma_sell 0
vwma_sell_count_14 1.0
vwma_sell_count_30 5.0
vwma_sell_count_7 1.0
xs_z_price_vs_roll7 -0.02061163918545392
xs_z_roc_30 1.9582220265482675
xs_z_volatility_30 -0.028078963511357097