§ Sven by Tumezi

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CSGP

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 0.1078 0 0.219
target_15d_10_perc_gain sector real_estate 0.1286 0 0.279
Mean (global + sector) 0.1182 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 0.2299 0 0.403
target_30d_10_perc_gain sector real_estate 0.3234 1 0.285
Mean (global + sector) 0.2767 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 0.5429 1 0.159
target_60d_10_perc_gain sector real_estate 0.5057 1 0.307
Mean (global + sector) 0.5243 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 0.1995 0 0.266
target_60d_20_perc_gain sector real_estate 0.2029 1 0.123
Mean (global + sector) 0.2012 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 0.0351 0 0.323
target_60d_30_perc_gain sector real_estate 0.0382 0 0.423
Mean (global + sector) 0.0367 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 0.1182 0.249
30d / 10% target_30d_10_perc_gain 0.2767 0.344
30d / 20% target_30d_20_perc_gain 0.024 0.149
60d / 10% target_60d_10_perc_gain 0.5243 0.233
60d / 20% target_60d_20_perc_gain 0.2012 0.194
60d / 30% target_60d_30_perc_gain 0.0367 0.373
Mean across models 0.1968 0.257

Inputs & features (prediction_snapshot)

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

1. open 33.87
2. high 34.64
3. low 33.61
4. close 33.95
5. adjusted close 33.95
6. volume 4615829.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 25.5425
adx_sma_buy 0
adx_strong_trend 1
adx_strong_trend_count_14 14.0
adx_strong_trend_count_30 30.0
adx_strong_trend_count_7 7.0
bb_buy 0
bb_buy_count_14 0.0
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 31.5831
BBANDS_20_Real Middle Band 33.9565
BBANDS_20_Real Upper Band 36.3299
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.01617539515378154
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 -0.10899262917324926
excess_ret_vs_spy_60 -0.3487103419317834
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry real_estate_services
ichimoku_buy 0
ichimoku_sell 1
macd_buy 1
macd_buy_count_14 6.0
macd_buy_count_30 16.0
macd_buy_count_7 5.0
MACD_MACD -1.3296
MACD_MACD_Hist 0.3621
MACD_MACD_Signal -1.6917
macd_sell 0
macd_sell_count_14 8.0
macd_sell_count_30 14.0
macd_sell_count_7 2.0
OBV_OBV 300234997.0
price_vs_roll7 0.01812184045922738
roc_30 -0.06935307017543846
roc_7 0.0619330622458556
rolling_avg_30 35.480666666666664
rolling_avg_7 33.34571428571429
RSI_14_RSI 41.9268
rsi_buy 0
rsi_buy_count_14 3.0
rsi_buy_count_30 6.0
rsi_buy_count_7 1.0
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 -0.2958571428571436
sma_200_gradient_30 -0.26027666666666677
sma_200_gradient_7 -0.31278571428571567
SMA_200_SMA 61.9999
sma_50_gradient_14 -0.2623428571428568
sma_50_gradient_30 -0.27371333333333325
sma_50_gradient_7 -0.27119999999999933
SMA_50_SMA 37.7135
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 96.9442
STOCHRSI_14_FastK 95.3037
stochrsi_buy 0
stochrsi_buy_count_14 5.0
stochrsi_buy_count_30 12.0
stochrsi_buy_count_7 1.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 8.0
stochrsi_sell_count_30 14.0
stochrsi_sell_count_7 6.0
stock_daily_ret 0.000589448865311093
stock_ret_sum_20 -0.06510159087703427
stock_ret_sum_60 -0.26480071411008976
sven_beta_buy 0
volatility_30 2.5128304323176955
volatility_7 0.8221690244348054
volume_avg_30 7903013.166666667
volume_avg_7 11067340.714285715
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 4.0
vwma_buy_count_30 10.0
vwma_buy_count_7 4.0
vwma_sell 0
vwma_sell_count_14 10.0
vwma_sell_count_30 20.0
vwma_sell_count_7 3.0
xs_z_price_vs_roll7 0.14094555513805634
xs_z_roc_30 -0.6850672953075686
xs_z_volatility_30 -0.35398726400297537