§ Sven by Tumezi

← Overview

DDOG

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 0.3134 1 0.219
target_15d_10_perc_gain sector information_technology 0.1947 0 0.276
Mean (global + sector) 0.2541 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 0.4536 1 0.403
target_30d_10_perc_gain sector information_technology 0.3378 1 0.293
Mean (global + sector) 0.3957 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 0.0807 0 0.245
Mean (global + sector) 0.1571 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 0.5397 1 0.397
Mean (global + sector) 0.5907 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 0.2007 0 0.266
target_60d_20_perc_gain sector information_technology 0.3097 0 0.428
Mean (global + sector) 0.2552 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 0.1591 0 0.418
Mean (global + sector) 0.1047 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 0.2541 0.247
30d / 10% target_30d_10_perc_gain 0.3957 0.348
30d / 20% target_30d_20_perc_gain 0.1571 0.211
60d / 10% target_60d_10_perc_gain 0.5907 0.278
60d / 20% target_60d_20_perc_gain 0.2552 0.347
60d / 30% target_60d_30_perc_gain 0.1047 0.371
Mean across models 0.2929 0.3

Inputs & features (prediction_snapshot)

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

1. open 220.94799999999998
2. high 224.7693
3. low 218.72
4. close 222.32
5. adjusted close 222.32
6. volume 4871732.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 51.7943
adx_sma_buy 1
adx_strong_trend 1
adx_strong_trend_count_14 11.0
adx_strong_trend_count_30 11.0
adx_strong_trend_count_7 7.0
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 4.0
bb_sell_count_30 4.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 110.5316
BBANDS_20_Real Middle Band 179.5445
BBANDS_20_Real Upper Band 248.5574
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.09282024178735984
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 0.5447442655835285
excess_ret_vs_spy_60 0.6331644204718738
fib_buy_signal 0
gics_sector information_technology
gics_sub_industry application_software
ichimoku_buy 1
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 14.0
macd_buy_count_30 27.0
macd_buy_count_7 7.0
MACD_MACD 23.5967
MACD_MACD_Hist 2.7877
MACD_MACD_Signal 20.809
macd_sell 0
macd_sell_count_14 0.0
macd_sell_count_30 3.0
macd_sell_count_7 0.0
OBV_OBV 210827510.0
price_vs_roll7 0.046289137347967024
roc_30 1.1098984530701337
roc_7 0.08285032390044322
rolling_avg_30 161.03966666666665
rolling_avg_7 212.48428571428573
RSI_14_RSI 83.9723
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 1
rsi_sell_count_14 12.0
rsi_sell_count_30 13.0
rsi_sell_count_7 7.0
sma_200_gradient_14 0.27256428571428565
sma_200_gradient_30 0.0988333333333325
sma_200_gradient_7 0.35974285714285414
SMA_200_SMA 141.9114
sma_50_gradient_14 1.616978571428572
sma_50_gradient_30 0.8310033333333336
sma_50_gradient_7 1.7561714285714305
SMA_50_SMA 144.9616
sma_death_cross 0
sma_death_cross_count_14 11.0
sma_death_cross_count_30 27.0
sma_death_cross_count_7 4.0
sma_golden_cross 1
sma_golden_cross_count_14 3.0
sma_golden_cross_count_30 3.0
sma_golden_cross_count_7 3.0
sma_overlap_14 0
sma_overlap_30 0
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 38.597
STOCHRSI_14_FastK 72.7267
stochrsi_buy 0
stochrsi_buy_count_14 2.0
stochrsi_buy_count_30 3.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 6.0
stochrsi_sell_count_30 15.0
stochrsi_sell_count_7 1.0
stock_daily_ret 0.01962942579343241
stock_ret_sum_20 0.5886353038797435
stock_ret_sum_60 0.7170740482935675
sven_beta_buy 0
volatility_30 39.35761491260865
volatility_7 6.601777177753139
volume_avg_30 6132314.0
volume_avg_7 5346316.571428572
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 14.0
vwma_buy_count_30 28.0
vwma_buy_count_7 7.0
vwma_sell 0
vwma_sell_count_14 0.0
vwma_sell_count_30 2.0
vwma_sell_count_7 0.0
xs_z_price_vs_roll7 1.1272044692018264
xs_z_roc_30 6.0863861556217635
xs_z_volatility_30 0.9822040843358845