§ Sven by Tumezi

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NVDA

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 0.3411 1 0.219
target_15d_10_perc_gain sector information_technology 0.2366 0 0.276
Mean (global + sector) 0.2888 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 0.4628 1 0.403
target_30d_10_perc_gain sector information_technology 0.4923 1 0.293
Mean (global + sector) 0.4776 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 0.2669 1 0.178
target_30d_20_perc_gain sector information_technology 0.2375 0 0.245
Mean (global + sector) 0.2522 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 0.6416 1 0.159
target_60d_10_perc_gain sector information_technology 0.65 1 0.397
Mean (global + sector) 0.6458 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 0.3295 1 0.266
target_60d_20_perc_gain sector information_technology 0.3097 0 0.428
Mean (global + sector) 0.3196 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 0.1581 0 0.323
target_60d_30_perc_gain sector information_technology 0.2476 0 0.418
Mean (global + sector) 0.2029 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 0.2888 0.247
30d / 10% target_30d_10_perc_gain 0.4776 0.348
30d / 20% target_30d_20_perc_gain 0.2522 0.211
60d / 10% target_60d_10_perc_gain 0.6458 0.278
60d / 20% target_60d_20_perc_gain 0.3196 0.347
60d / 30% target_60d_30_perc_gain 0.2029 0.371
Mean across models 0.3645 0.3

Inputs & features (prediction_snapshot)

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

1. open 220.90400000000002
2. high 221.01
3. low 214.8
4. close 215.33
5. adjusted close 215.33
6. volume 169275710.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 28.7257
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 10.0
adx_strong_trend_count_30 15.0
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 5.0
bb_sell_count_7 1.0
BBANDS_20_Real Lower Band 194.1889
BBANDS_20_Real Middle Band 214.7455
BBANDS_20_Real Upper Band 235.3021
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.6730847737974928
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 -0.0034434381577276296
excess_ret_vs_spy_60 0.08503827106763262
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry semiconductors
ichimoku_buy 1
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 9.0
macd_buy_count_30 23.0
macd_buy_count_7 5.0
MACD_MACD 6.9061
MACD_MACD_Hist -0.8708
MACD_MACD_Signal 7.777
macd_sell 1
macd_sell_count_14 5.0
macd_sell_count_30 7.0
macd_sell_count_7 2.0
OBV_OBV 165719000572.0
price_vs_roll7 -0.03519810535749013
roc_30 0.14154694375231935
roc_7 -0.046495151219944186
rolling_avg_30 209.7326666666667
rolling_avg_7 223.1857142857143
RSI_14_RSI 53.7138
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 7.0
rsi_sell_count_7 1.0
sma_200_gradient_14 0.2179071428571433
sma_200_gradient_30 0.2098200000000001
sma_200_gradient_7 0.2274571428571416
SMA_200_SMA 187.0197
sma_50_gradient_14 0.6773428571428569
sma_50_gradient_30 0.4911866666666659
sma_50_gradient_7 0.8044571428571398
SMA_50_SMA 196.8078
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 3.7867
STOCHRSI_14_FastK 0.0
stochrsi_buy 1
stochrsi_buy_count_14 7.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 6.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 15.0
stochrsi_sell_count_7 1.0
stock_daily_ret -0.01904241264634854
stock_ret_sum_20 0.04044760013848736
stock_ret_sum_60 0.16894789888932626
sven_beta_buy 0
volatility_30 11.495156381271382
volatility_7 6.388178814923019
volume_avg_30 155608713.0
volume_avg_7 169132320.0
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 12.0
vwma_buy_count_30 25.0
vwma_buy_count_7 6.0
vwma_sell 1
vwma_sell_count_14 2.0
vwma_sell_count_30 5.0
vwma_sell_count_7 1.0
xs_z_price_vs_roll7 -1.7260164067020776
xs_z_roc_30 0.5259547801031973
xs_z_volatility_30 -0.02823949833557862