§ Sven by Tumezi

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RCL

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 0.3591 1 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.2174 0 0.336
Mean (global + sector) 0.2883 0.277

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.5831 1 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.58 1 0.219
Mean (global + sector) 0.5816 0.311

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.4091 1 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.2667 0 0.412
Mean (global + sector) 0.3379 0.295

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.8283 1 0.159
target_60d_10_perc_gain sector consumer_discretionary 0.5627 1 0.395
Mean (global + sector) 0.6955 0.277

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.3823 1 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.4571 1 0.354
Mean (global + sector) 0.4197 0.31

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.1658 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.4597 1 0.265
Mean (global + sector) 0.3127 0.294

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 0.2883 0.277
30d / 10% target_30d_10_perc_gain 0.5816 0.311
30d / 20% target_30d_20_perc_gain 0.3379 0.295
60d / 10% target_60d_10_perc_gain 0.6955 0.277
60d / 20% target_60d_20_perc_gain 0.4197 0.31
60d / 30% target_60d_30_perc_gain 0.3127 0.294
Mean across models 0.4393 0.294

Inputs & features (prediction_snapshot)

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

1. open 259.31
2. high 261.74
3. low 255.0
4. close 256.1
5. adjusted close 256.1
6. volume 3183546.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 13.8698
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 1.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 0.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 243.6447
BBANDS_20_Real Middle Band 262.314
BBANDS_20_Real Upper Band 280.9833
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.6462200960628358
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 -0.07245281633700507
excess_ret_vs_spy_60 -0.26878898022935405
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry hotels,_resorts_&_cruise_lines
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 7.0
macd_buy_count_30 15.0
macd_buy_count_7 1.0
MACD_MACD -4.5828
MACD_MACD_Hist -0.6069
MACD_MACD_Signal -3.9759
macd_sell 1
macd_sell_count_14 7.0
macd_sell_count_30 15.0
macd_sell_count_7 6.0
OBV_OBV 388067953.0
price_vs_roll7 -0.0017095730522320718
roc_30 -0.07525095688596795
roc_7 -0.030658591975775806
rolling_avg_30 266.32033333333334
rolling_avg_7 256.5385714285714
RSI_14_RSI 45.0583
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 -0.3379928571428569
sma_200_gradient_30 -0.3009266666666671
sma_200_gradient_7 -0.29738571428571603
SMA_200_SMA 292.3198
sma_50_gradient_14 -0.6253428571428563
sma_50_gradient_30 -0.9277966666666657
sma_50_gradient_7 -0.5088857142857088
SMA_50_SMA 269.2178
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 74.7007
STOCHRSI_14_FastK 73.4474
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 0
stochrsi_sell_count_14 3.0
stochrsi_sell_count_30 10.0
stochrsi_sell_count_7 1.0
stock_daily_ret -0.016210817455439397
stock_ret_sum_20 -0.028561778040790076
stock_ret_sum_60 -0.1848793524076604
sven_beta_buy 0
volatility_30 10.975115263968025
volatility_7 6.007643544054263
volume_avg_30 2886092.966666667
volume_avg_7 3323259.4285714286
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 3.0
vwma_buy_count_30 8.0
vwma_buy_count_7 0.0
vwma_sell 1
vwma_sell_count_14 11.0
vwma_sell_count_30 22.0
vwma_sell_count_7 7.0
xs_z_price_vs_roll7 -0.5534380213697974
xs_z_roc_30 -0.7189339170858374
xs_z_volatility_30 -0.047099004545824545