§ Sven by Tumezi

← Overview

PNR

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 0.1601 0 0.219
target_15d_10_perc_gain sector industrials 0.2255 1 0.197
Mean (global + sector) 0.1928 0.208

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.2031 0 0.403
target_30d_10_perc_gain sector industrials 0.2855 0 0.344
Mean (global + sector) 0.2443 0.373

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0459 0 0.178
target_30d_20_perc_gain sector industrials 0.0096 0 0.144
Mean (global + sector) 0.0278 0.161

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.4027 1 0.159
target_60d_10_perc_gain sector industrials 0.4014 0 0.422
Mean (global + sector) 0.4021 0.29

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.2075 0 0.266
target_60d_20_perc_gain sector industrials 0.1681 0 0.445
Mean (global + sector) 0.1878 0.356

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0244 0 0.323
target_60d_30_perc_gain sector industrials 0.0314 0 0.731
Mean (global + sector) 0.0279 0.527

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 0.1928 0.208
30d / 10% target_30d_10_perc_gain 0.2443 0.373
30d / 20% target_30d_20_perc_gain 0.0278 0.161
60d / 10% target_60d_10_perc_gain 0.4021 0.29
60d / 20% target_60d_20_perc_gain 0.1878 0.356
60d / 30% target_60d_30_perc_gain 0.0279 0.527
Mean across models 0.1804 0.319

Inputs & features (prediction_snapshot)

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

1. open 74.71
2. high 75.15
3. low 74.02
4. close 74.82
5. adjusted close 74.82
6. volume 987063.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 34.1084
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 19.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 0.0
bb_buy_count_30 5.0
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 68.3553
BBANDS_20_Real Middle Band 77.3755
BBANDS_20_Real Upper Band 86.3957
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.5936187733775354
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 -0.23894714720669696
excess_ret_vs_spy_60 -0.3611585890845288
fib_buy_signal 0
gics_sector industrials
gics_sub_industry industrial_machinery_&_supplies_&_components
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 1.0
macd_buy_count_30 12.0
macd_buy_count_7 1.0
MACD_MACD -3.5183
MACD_MACD_Hist 0.1184
MACD_MACD_Signal -3.6366
macd_sell 0
macd_sell_count_14 13.0
macd_sell_count_30 18.0
macd_sell_count_7 6.0
OBV_OBV 412633249.0
price_vs_roll7 0.014213787761411467
roc_30 -0.16814323889843352
roc_7 0.016161890533749723
rolling_avg_30 81.62928735632184
rolling_avg_7 73.77142857142857
RSI_14_RSI 37.5751
rsi_buy 0
rsi_buy_count_14 6.0
rsi_buy_count_30 8.0
rsi_buy_count_7 2.0
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 -0.13512857142857168
sma_200_gradient_30 -0.10841000000000017
sma_200_gradient_7 -0.13824285714285622
SMA_200_SMA 99.485
sma_50_gradient_14 -0.41243571428571457
sma_50_gradient_30 -0.32851333333333343
sma_50_gradient_7 -0.36655714285714275
SMA_50_SMA 83.926
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 100.0
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 3.0
stochrsi_buy_count_30 10.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 7.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 5.0
stock_daily_ret 0.0052398226521561675
stock_ret_sum_20 -0.19505610891048197
stock_ret_sum_60 -0.27724896126283516
sven_beta_buy 0
volatility_30 7.202122123532267
volatility_7 1.113005369429237
volume_avg_30 1983873.3
volume_avg_7 1652255.2857142857
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 0.0
vwma_buy_count_30 11.0
vwma_buy_count_7 0.0
vwma_sell 1
vwma_sell_count_14 14.0
vwma_sell_count_30 19.0
vwma_sell_count_7 7.0
xs_z_price_vs_roll7 0.004107724192597396
xs_z_roc_30 -1.252336462004172
xs_z_volatility_30 -0.18392816130989506