§ Sven by Tumezi

← Overview

WSM

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 0.2577 1 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.3077 0 0.336
Mean (global + sector) 0.2827 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 0.3624 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.5512 1 0.219
Mean (global + sector) 0.4568 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 0.1124 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.1875 0 0.412
Mean (global + sector) 0.1499 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 0.8 1 0.159
target_60d_10_perc_gain sector consumer_discretionary 0.5627 1 0.395
Mean (global + sector) 0.6814 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 0.4411 1 0.354
Mean (global + sector) 0.4117 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 0.3846 1 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.3397 1 0.265
Mean (global + sector) 0.3622 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 0.2827 0.277
30d / 10% target_30d_10_perc_gain 0.4568 0.311
30d / 20% target_30d_20_perc_gain 0.1499 0.295
60d / 10% target_60d_10_perc_gain 0.6814 0.277
60d / 20% target_60d_20_perc_gain 0.4117 0.31
60d / 30% target_60d_30_perc_gain 0.3622 0.294
Mean across models 0.3908 0.294

Inputs & features (prediction_snapshot)

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

1. open 192.7
2. high 193.95
3. low 191.2
4. close 192.5
5. adjusted close 192.5
6. volume 1001593.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 19.8564
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 0.0
bb_sell_count_30 4.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 165.6913
BBANDS_20_Real Middle Band 180.0615
BBANDS_20_Real Upper Band 194.4317
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.564819792176051
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 -0.026893565722727386
excess_ret_vs_spy_60 -0.15920845364047165
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry homefurnishing_retail
ichimoku_buy 0
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 2.0
macd_buy_count_30 13.0
macd_buy_count_7 2.0
MACD_MACD -1.2326
MACD_MACD_Hist 1.7382
MACD_MACD_Signal -2.9709
macd_sell 0
macd_sell_count_14 12.0
macd_sell_count_30 17.0
macd_sell_count_7 5.0
OBV_OBV 75083341.0
price_vs_roll7 0.07981408766727505
roc_30 0.021711642336455617
roc_7 0.1187957689178194
rolling_avg_30 185.10797797275842
rolling_avg_7 178.27142857142857
RSI_14_RSI 60.4697
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 -0.029207142857144066
sma_200_gradient_30 0.05157333333333346
sma_200_gradient_7 -0.06809999999999913
SMA_200_SMA 191.7944
sma_50_gradient_14 -0.34573571428571526
sma_50_gradient_30 -0.39279000000000036
sma_50_gradient_7 -0.18652857142857165
SMA_50_SMA 183.636
sma_death_cross 1
sma_death_cross_count_14 14.0
sma_death_cross_count_30 20.0
sma_death_cross_count_7 7.0
sma_golden_cross 0
sma_golden_cross_count_14 0.0
sma_golden_cross_count_30 10.0
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 4.0
stock_daily_ret 0.0029175784099197966
stock_ret_sum_20 0.016997472573487604
stock_ret_sum_60 -0.075298825818778
sven_beta_buy 0
volatility_30 9.72466289120278
volatility_7 10.269174631829468
volume_avg_30 1188043.8
volume_avg_7 1658363.4285714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 3.0
vwma_buy_count_30 12.0
vwma_buy_count_7 3.0
vwma_sell 0
vwma_sell_count_14 11.0
vwma_sell_count_30 18.0
vwma_sell_count_7 4.0
xs_z_price_vs_roll7 2.3010580067480784
xs_z_roc_30 -0.16215895078458178
xs_z_volatility_30 -0.09244717703662819