§ Sven by Tumezi

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ANET

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 0.2127 0 0.219
target_15d_10_perc_gain sector information_technology 0.1947 0 0.276
Mean (global + sector) 0.2037 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 0.3816 0 0.403
target_30d_10_perc_gain sector information_technology 0.4482 1 0.293
Mean (global + sector) 0.4149 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 0.1333 0 0.178
target_30d_20_perc_gain sector information_technology 0.0706 0 0.245
Mean (global + sector) 0.102 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 0.3042 1 0.266
target_60d_20_perc_gain sector information_technology 0.3427 0 0.428
Mean (global + sector) 0.3235 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 0.1457 0 0.323
target_60d_30_perc_gain sector information_technology 0.2104 0 0.418
Mean (global + sector) 0.178 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 0.2037 0.247
30d / 10% target_30d_10_perc_gain 0.4149 0.348
30d / 20% target_30d_20_perc_gain 0.102 0.211
60d / 10% target_60d_10_perc_gain 0.6458 0.278
60d / 20% target_60d_20_perc_gain 0.3235 0.347
60d / 30% target_60d_30_perc_gain 0.178 0.371
Mean across models 0.3113 0.3

Inputs & features (prediction_snapshot)

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

1. open 152.26
2. high 154.39
3. low 149.0
4. close 154.03
5. adjusted close 154.03
6. volume 10562370.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 23.1091
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 12.0
adx_strong_trend_count_30 22.0
adx_strong_trend_count_7 5.0
bb_buy 0
bb_buy_count_14 2.0
bb_buy_count_30 2.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 1.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 126.0706
BBANDS_20_Real Middle Band 153.0555
BBANDS_20_Real Upper Band 180.0404
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.433232752660625
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 -0.16361296961381422
excess_ret_vs_spy_60 0.1291668207325427
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry communications_equipment
ichimoku_buy 0
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 0.0
macd_buy_count_30 15.0
macd_buy_count_7 0.0
MACD_MACD -2.1503
MACD_MACD_Hist -0.6481
MACD_MACD_Signal -1.5022
macd_sell 1
macd_sell_count_14 14.0
macd_sell_count_30 15.0
macd_sell_count_7 7.0
OBV_OBV 2358533499.0
price_vs_roll7 0.06104233501937917
roc_30 0.04533423820834748
roc_7 0.09481839505295331
rolling_avg_30 157.13233333333335
rolling_avg_7 145.16857142857143
RSI_14_RSI 53.7062
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 7.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.1377928571428555
sma_200_gradient_30 0.23315999999999992
sma_200_gradient_7 0.11245714285714062
SMA_200_SMA 139.801
sma_50_gradient_14 0.24818571428571293
sma_50_gradient_30 0.4215133333333332
sma_50_gradient_7 0.17145714285714217
SMA_50_SMA 147.0664
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 66.6667
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 6.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 4.0
stochrsi_sell_count_30 13.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.03661080826435148
stock_ret_sum_20 -0.11972193131759923
stock_ret_sum_60 0.21307644855423635
sven_beta_buy 0
volatility_30 13.740566590569886
volatility_7 5.068985528259505
volume_avg_30 10893443.833333334
volume_avg_7 10813787.857142856
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 2.0
vwma_buy_count_30 18.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 12.0
vwma_sell_count_30 12.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 1.6437777411011218
xs_z_roc_30 -0.02651417510823903
xs_z_volatility_30 0.05319123161593814