§ Sven by Tumezi

← Overview

GDDY

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 0.1454 0 0.219
target_15d_10_perc_gain sector information_technology 0.2903 1 0.276
Mean (global + sector) 0.2178 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 0.1047 0 0.245
Mean (global + sector) 0.0826 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 0.3097 0 0.428
Mean (global + sector) 0.2808 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 0.1257 0 0.418
Mean (global + sector) 0.088 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 0.2178 0.247
30d / 10% target_30d_10_perc_gain 0.3026 0.348
30d / 20% target_30d_20_perc_gain 0.0826 0.211
60d / 10% target_60d_10_perc_gain 0.5428 0.278
60d / 20% target_60d_20_perc_gain 0.2808 0.347
60d / 30% target_60d_30_perc_gain 0.088 0.371
Mean across models 0.2524 0.3

Inputs & features (prediction_snapshot)

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

1. open 91.99
2. high 93.33
3. low 90.09
4. close 90.46
5. adjusted close 90.46
6. volume 1377903.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 19.1369
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 2.0
bb_sell_count_30 6.0
bb_sell_count_7 2.0
BBANDS_20_Real Lower Band 83.0579
BBANDS_20_Real Middle Band 87.9725
BBANDS_20_Real Upper Band 92.8871
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.0022832840549975647
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 0.011169515059737622
excess_ret_vs_spy_60 -0.01833883855064955
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry internet_services_&_infrastructure
ichimoku_buy 0
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 1.4467
MACD_MACD_Hist 0.3579
MACD_MACD_Signal 1.0888
macd_sell 0
macd_sell_count_14 2.0
macd_sell_count_30 2.0
macd_sell_count_7 2.0
OBV_OBV 314131652.0
price_vs_roll7 0.00791086350973802
roc_30 0.14087526800353123
roc_7 0.059498711642070656
rolling_avg_30 86.94833333333334
rolling_avg_7 89.75
RSI_14_RSI 56.2239
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 -0.37257142857142816
sma_200_gradient_30 -0.41107333333333335
sma_200_gradient_7 -0.3465142857142861
SMA_200_SMA 113.7029
sma_50_gradient_14 0.010400000000000123
sma_50_gradient_30 -0.08853333333333353
sma_50_gradient_7 0.00948571428571451
SMA_50_SMA 85.0248
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 59.9249
STOCHRSI_14_FastK 0.0
stochrsi_buy 1
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 7.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 1
stochrsi_sell 0
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 16.0
stochrsi_sell_count_7 3.0
stock_daily_ret -0.012013979903888306
stock_ret_sum_20 0.05506055335595261
stock_ret_sum_60 0.0655707892710441
sven_beta_buy 0
volatility_30 3.0276257721298903
volatility_7 2.664995309559094
volume_avg_30 2097916.033333333
volume_avg_7 1680067.4285714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 11.0
vwma_buy_count_30 26.0
vwma_buy_count_7 6.0
vwma_sell 0
vwma_sell_count_14 3.0
vwma_sell_count_30 4.0
vwma_sell_count_7 1.0
xs_z_price_vs_roll7 -0.21658491992004134
xs_z_roc_30 0.5220979090478018
xs_z_volatility_30 -0.3353179980831225