§ Sven by Tumezi

← Overview

PLTR

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 0.3295 1 0.219
target_15d_10_perc_gain sector information_technology 0.2709 0 0.276
Mean (global + sector) 0.3002 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 0.4308 1 0.403
target_30d_10_perc_gain sector information_technology 0.4482 1 0.293
Mean (global + sector) 0.4395 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 0.2336 1 0.178
target_30d_20_perc_gain sector information_technology 0.2068 0 0.245
Mean (global + sector) 0.2202 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 0.1667 0 0.418
Mean (global + sector) 0.1562 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 0.3002 0.247
30d / 10% target_30d_10_perc_gain 0.4395 0.348
30d / 20% target_30d_20_perc_gain 0.2202 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 0.1562 0.371
Mean across models 0.3476 0.3

Inputs & features (prediction_snapshot)

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

1. open 137.425
2. high 139.02
3. low 134.3
4. close 136.88
5. adjusted close 136.88
6. volume 27578014.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 12.6701
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 1.0
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 129.9978
BBANDS_20_Real Middle Band 137.4257
BBANDS_20_Real Upper Band 144.8537
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.2500335938033333
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 -0.08264491785712191
excess_ret_vs_spy_60 -0.048033766007053114
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry application_software
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 3.0
macd_buy_count_30 14.0
macd_buy_count_7 3.0
MACD_MACD -1.8463
MACD_MACD_Hist 0.364
MACD_MACD_Signal -2.2103
macd_sell 0
macd_sell_count_14 11.0
macd_sell_count_30 16.0
macd_sell_count_7 4.0
OBV_OBV 5234460144.0
price_vs_roll7 0.009051513061236527
roc_30 0.06887396532875201
roc_7 0.052518262206843414
rolling_avg_30 139.23416666666665
rolling_avg_7 135.65214285714285
RSI_14_RSI 47.4915
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 -0.11587142857143005
sma_200_gradient_30 -0.05083666666666697
sma_200_gradient_7 -0.13670000000000268
SMA_200_SMA 162.6332
sma_50_gradient_14 -0.1968357142857136
sma_50_gradient_30 -0.05634999999999953
sma_50_gradient_7 -0.360357142857144
SMA_50_SMA 142.6439
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 92.1883
STOCHRSI_14_FastK 76.5649
stochrsi_buy 0
stochrsi_buy_count_14 3.0
stochrsi_buy_count_30 8.0
stochrsi_buy_count_7 0.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 4.0
stock_daily_ret -0.0038933158679911317
stock_ret_sum_20 -0.03875387956090692
stock_ret_sum_60 0.03587586181464053
sven_beta_buy 0
volatility_30 5.1266857754524615
volatility_7 1.5128501169025268
volume_avg_30 43108416.53333333
volume_avg_7 30616698.14285714
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 3.0
vwma_buy_count_30 15.0
vwma_buy_count_7 3.0
vwma_sell 0
vwma_sell_count_14 11.0
vwma_sell_count_30 15.0
vwma_sell_count_7 4.0
xs_z_price_vs_roll7 -0.17664584474247355
xs_z_roc_30 0.10865475476068116
xs_z_volatility_30 -0.2591947188823967