§ Sven by Tumezi

← Overview

MSI

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 0.1377 0 0.219
target_15d_10_perc_gain sector information_technology 0.1159 0 0.276
Mean (global + sector) 0.1268 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 0.3129 0 0.403
target_30d_10_perc_gain sector information_technology 0.2923 0 0.293
Mean (global + sector) 0.3026 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 0.0605 0 0.178
target_30d_20_perc_gain sector information_technology 0.0182 0 0.245
Mean (global + sector) 0.0394 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 0.4905 1 0.159
target_60d_10_perc_gain sector information_technology 0.5397 1 0.397
Mean (global + sector) 0.5151 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 0.2519 0 0.266
target_60d_20_perc_gain sector information_technology 0.1732 0 0.428
Mean (global + sector) 0.2125 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 0.0502 0 0.323
target_60d_30_perc_gain sector information_technology 0.0396 0 0.418
Mean (global + sector) 0.0449 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 0.1268 0.247
30d / 10% target_30d_10_perc_gain 0.3026 0.348
30d / 20% target_30d_20_perc_gain 0.0394 0.211
60d / 10% target_60d_10_perc_gain 0.5151 0.278
60d / 20% target_60d_20_perc_gain 0.2125 0.347
60d / 30% target_60d_30_perc_gain 0.0449 0.371
Mean across models 0.2069 0.3

Inputs & features (prediction_snapshot)

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

1. open 402.37
2. high 407.085
3. low 399.85
4. close 404.08
5. adjusted close 404.08
6. volume 957116.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 40.6471
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 24.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 3.0
bb_buy_count_30 4.0
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 374.9742
BBANDS_20_Real Middle Band 414.012
BBANDS_20_Real Upper Band 453.0498
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.12761725168269886
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 -0.11561516273698336
excess_ret_vs_spy_60 -0.22400718041123202
fib_buy_signal 1
gics_sector information_technology
gics_sub_industry communications_equipment
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 1.0
macd_buy_count_30 7.0
macd_buy_count_7 0.0
MACD_MACD -10.7917
MACD_MACD_Hist -0.0585
MACD_MACD_Signal -10.7332
macd_sell 1
macd_sell_count_14 13.0
macd_sell_count_30 23.0
macd_sell_count_7 7.0
OBV_OBV 155764472.0
price_vs_roll7 0.009532987133498594
roc_30 -0.06827457400447323
roc_7 0.01555706351001529
rolling_avg_30 423.4116666666667
rolling_avg_7 400.2642857142857
RSI_14_RSI 42.7907
rsi_buy 0
rsi_buy_count_14 3.0
rsi_buy_count_30 3.0
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 -0.1099428571428567
sma_200_gradient_30 0.012693333333332172
sma_200_gradient_7 -0.16777142857143548
SMA_200_SMA 426.8187
sma_50_gradient_14 -1.2735714285714275
sma_50_gradient_30 -0.4812199999999999
sma_50_gradient_7 -1.265514285714281
SMA_50_SMA 433.6046
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 70.4146
STOCHRSI_14_FastK 88.5917
stochrsi_buy 0
stochrsi_buy_count_14 3.0
stochrsi_buy_count_30 7.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 4.0
stochrsi_sell_count_30 9.0
stochrsi_sell_count_7 3.0
stock_daily_ret 0.009594243453927565
stock_ret_sum_20 -0.07172412444076837
stock_ret_sum_60 -0.14009755258953838
sven_beta_buy 0
volatility_30 21.1640785593109
volatility_7 5.561093588910815
volume_avg_30 1129664.8666666667
volume_avg_7 1287479.857142857
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 2.0
vwma_buy_count_30 8.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 12.0
vwma_sell_count_30 22.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 -0.15978735464543908
xs_z_roc_30 -0.6788743954259581
xs_z_volatility_30 0.3224079635587651