§ Sven by Tumezi

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NFLX

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 0.1744 0 0.219
target_15d_10_perc_gain sector communication_services 0.2103 0 0.221
Mean (global + sector) 0.1923 0.22

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.4405 1 0.403
target_30d_10_perc_gain sector communication_services 0.3253 1 0.078
Mean (global + sector) 0.3829 0.24

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.139 0 0.178
target_30d_20_perc_gain sector communication_services 0.238 0 0.372
Mean (global + sector) 0.1885 0.275

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.6829 1 0.159
target_60d_10_perc_gain sector communication_services 0.6764 1 0.128
Mean (global + sector) 0.6797 0.143

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.7 1 0.266
target_60d_20_perc_gain sector communication_services 0.3555 1 0.248
Mean (global + sector) 0.5278 0.257

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.1639 0 0.323
target_60d_30_perc_gain sector communication_services 0.2658 1 0.132
Mean (global + sector) 0.2148 0.228

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 0.1923 0.22
30d / 10% target_30d_10_perc_gain 0.3829 0.24
30d / 20% target_30d_20_perc_gain 0.1885 0.275
60d / 10% target_60d_10_perc_gain 0.6797 0.143
60d / 20% target_60d_20_perc_gain 0.5278 0.257
60d / 30% target_60d_30_perc_gain 0.2148 0.228
Mean across models 0.3643 0.227

Inputs & features (prediction_snapshot)

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

1. open 89.1
2. high 89.9699
3. low 88.17
4. close 88.6
5. adjusted close 88.6
6. volume 23847195.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 16.3661
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 0.0
adx_strong_trend_count_30 13.0
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 0.0
bb_sell_count_30 2.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 84.9357
BBANDS_20_Real Middle Band 89.1975
BBANDS_20_Real Upper Band 93.4593
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 -0.016620446895827444
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 -0.08391087501823302
excess_ret_vs_spy_60 -0.016933193707324823
fib_buy_signal 0
gics_sector communication_services
gics_sub_industry movies_&_entertainment
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 4.0
macd_buy_count_30 9.0
macd_buy_count_7 4.0
MACD_MACD -1.6037
MACD_MACD_Hist 0.28
MACD_MACD_Signal -1.8837
macd_sell 0
macd_sell_count_14 10.0
macd_sell_count_30 21.0
macd_sell_count_7 3.0
OBV_OBV 20764071347.0
price_vs_roll7 0.002051928327909236
roc_30 -0.1398893311328998
roc_7 0.01187756966651432
rolling_avg_30 92.40366666666667
rolling_avg_7 88.41857142857144
RSI_14_RSI 43.8669
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 4.0
rsi_sell_count_7 0.0
sma_200_gradient_14 -0.14994285714285688
sma_200_gradient_30 -0.15513000000000024
sma_200_gradient_7 -0.14135714285714382
SMA_200_SMA 101.8814
sma_50_gradient_14 -0.08884285714285665
sma_50_gradient_30 0.1327666666666668
sma_50_gradient_7 -0.1782285714285702
SMA_50_SMA 93.682
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 1
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 69.9494
STOCHRSI_14_FastK 53.1092
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 5.0
stock_daily_ret -0.007838745800671898
stock_ret_sum_20 -0.04001983672201803
stock_ret_sum_60 0.06697643411436882
sven_beta_buy 0
volatility_30 6.177104267084529
volatility_7 1.111086983866358
volume_avg_30 39794067.36666667
volume_avg_7 29684934.85714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 4.0
vwma_buy_count_30 8.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 10.0
vwma_sell_count_30 22.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 -0.4217315860280873
xs_z_roc_30 -1.0900979425112267
xs_z_volatility_30 -0.22110085782576014