§ Sven by Tumezi

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AMT

As-of 2026-05-22 · run #10

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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 0.0884 0 0.219
target_15d_10_perc_gain sector real_estate 0.0761 0 0.279
Mean (global + sector) 0.0822 0.249

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 real_estate 0.217 0 0.285
Mean (global + sector) 0.21 0.344

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0236 0 0.178
target_30d_20_perc_gain sector real_estate 0.0244 0 0.12
Mean (global + sector) 0.024 0.149

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.4784 1 0.159
target_60d_10_perc_gain sector real_estate 0.5057 1 0.307
Mean (global + sector) 0.492 0.233

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.0924 0 0.266
target_60d_20_perc_gain sector real_estate 0.1718 1 0.123
Mean (global + sector) 0.1321 0.194

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0214 0 0.323
target_60d_30_perc_gain sector real_estate 0.0382 0 0.423
Mean (global + sector) 0.0298 0.373

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 0.0822 0.249
30d / 10% target_30d_10_perc_gain 0.21 0.344
30d / 20% target_30d_20_perc_gain 0.024 0.149
60d / 10% target_60d_10_perc_gain 0.492 0.233
60d / 20% target_60d_20_perc_gain 0.1321 0.194
60d / 30% target_60d_30_perc_gain 0.0298 0.373
Mean across models 0.1617 0.257

Inputs & features (prediction_snapshot)

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

1. open 185.02
2. high 185.06
3. low 181.62
4. close 183.85
5. adjusted close 183.85
6. volume 2070031.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 13.9766
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 2.0
bb_buy_count_30 2.0
bb_buy_count_7 2.0
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 170.8978
BBANDS_20_Real Middle Band 178.7445
BBANDS_20_Real Upper Band 186.5912
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.1348376802196746
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 -0.009861185013242069
excess_ret_vs_spy_60 -0.07190138318097261
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry telecom_tower_reits
ichimoku_buy 0
ichimoku_sell 0
macd_buy 1
macd_buy_count_14 6.0
macd_buy_count_30 22.0
macd_buy_count_7 3.0
MACD_MACD 1.1046
MACD_MACD_Hist 0.7955
MACD_MACD_Signal 0.3091
macd_sell 0
macd_sell_count_14 8.0
macd_sell_count_30 8.0
macd_sell_count_7 4.0
OBV_OBV 475825929.0
price_vs_roll7 0.027045791901419536
roc_30 0.035838542690777686
roc_7 0.05739920630355999
rolling_avg_30 178.61074923307146
rolling_avg_7 179.00857142857143
RSI_14_RSI 58.8524
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 -0.17526428571428557
sma_200_gradient_30 -0.17771666666666686
sma_200_gradient_7 -0.12951428571428533
SMA_200_SMA 181.2685
sma_50_gradient_14 -0.14057142857142985
sma_50_gradient_30 -0.06692666666666677
sma_50_gradient_7 -0.10388571428571579
SMA_50_SMA 176.8654
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 98.048
STOCHRSI_14_FastK 96.2058
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 8.0
stochrsi_buy_count_7 2.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 5.0
stochrsi_sell_count_30 11.0
stochrsi_sell_count_7 5.0
stock_daily_ret 0.0003808901947981447
stock_ret_sum_20 0.03402985328297292
stock_ret_sum_60 0.012008244640721033
sven_beta_buy 0
volatility_30 3.522039553263629
volatility_7 6.229447349944643
volume_avg_30 2935816.8333333335
volume_avg_7 3324292.5714285714
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 8.0
vwma_buy_count_30 20.0
vwma_buy_count_7 5.0
vwma_sell 0
vwma_sell_count_14 6.0
vwma_sell_count_30 10.0
vwma_sell_count_7 2.0
xs_z_price_vs_roll7 0.4534116995927176
xs_z_roc_30 -0.08103999840711819
xs_z_volatility_30 -0.31738787781864414