§ Sven by Tumezi

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EQIX

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 0.0528 0 0.219
target_15d_10_perc_gain sector real_estate 0.0415 0 0.279
Mean (global + sector) 0.0471 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 0.2073 0 0.285
Mean (global + sector) 0.2052 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 0.0087 0 0.178
target_30d_20_perc_gain sector real_estate 0.013 0 0.12
Mean (global + sector) 0.0109 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 0.4137 1 0.159
target_60d_10_perc_gain sector real_estate 0.5057 1 0.307
Mean (global + sector) 0.4597 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 0.0652 0 0.266
target_60d_20_perc_gain sector real_estate 0.0364 0 0.123
Mean (global + sector) 0.0508 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 0.0089 0 0.323
target_60d_30_perc_gain sector real_estate 0.0382 0 0.423
Mean (global + sector) 0.0236 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 0.0471 0.249
30d / 10% target_30d_10_perc_gain 0.2052 0.344
30d / 20% target_30d_20_perc_gain 0.0109 0.149
60d / 10% target_60d_10_perc_gain 0.4597 0.233
60d / 20% target_60d_20_perc_gain 0.0508 0.194
60d / 30% target_60d_30_perc_gain 0.0236 0.373
Mean across models 0.1329 0.257

Inputs & features (prediction_snapshot)

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

1. open 1078.42
2. high 1084.1
3. low 1068.55
4. close 1079.79
5. adjusted close 1079.79
6. volume 427324.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 19.1279
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 6.0
adx_strong_trend_count_30 22.0
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 1.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 3.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 1050.7519
BBANDS_20_Real Middle Band 1072.0475
BBANDS_20_Real Upper Band 1093.343
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.44923323079427674
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 -0.064297056151151
excess_ret_vs_spy_60 0.05505299803669472
fib_buy_signal 0
gics_sector real_estate
gics_sub_industry data_center_reits
ichimoku_buy 0
ichimoku_sell 0
macd_buy 0
macd_buy_count_14 0.0
macd_buy_count_30 11.0
macd_buy_count_7 0.0
MACD_MACD 6.8954
MACD_MACD_Hist -3.2642
MACD_MACD_Signal 10.1596
macd_sell 1
macd_sell_count_14 14.0
macd_sell_count_30 19.0
macd_sell_count_7 7.0
OBV_OBV 180305987.0
price_vs_roll7 0.014166465763717273
roc_30 0.05317340024346229
roc_7 0.00718602765003018
rolling_avg_30 1074.6659972342134
rolling_avg_7 1064.7068666255534
RSI_14_RSI 57.179
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 10.0
rsi_sell_count_7 0.0
sma_200_gradient_14 1.487871428571436
sma_200_gradient_30 1.5500033333333363
sma_200_gradient_7 1.4849000000000063
SMA_200_SMA 858.9468
sma_50_gradient_14 2.3102571428571457
sma_50_gradient_30 3.3980699999999993
sma_50_gradient_7 2.229028571428574
SMA_50_SMA 1037.02
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 89.055
STOCHRSI_14_FastK 100.0
stochrsi_buy 0
stochrsi_buy_count_14 6.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 3.0
stochrsi_macd_buy 0
stochrsi_sell 1
stochrsi_sell_count_14 3.0
stochrsi_sell_count_30 8.0
stochrsi_sell_count_7 2.0
stock_daily_ret 0.0012703770330668718
stock_ret_sum_20 -0.02040601785493601
stock_ret_sum_60 0.13896262585838837
sven_beta_buy 0
volatility_30 16.243550025825684
volatility_7 13.697638784174952
volume_avg_30 541069.4
volume_avg_7 469561.4285714286
volume_profile_buy 0
vwma_buy 1
vwma_buy_count_14 2.0
vwma_buy_count_30 14.0
vwma_buy_count_7 2.0
vwma_sell 0
vwma_sell_count_14 12.0
vwma_sell_count_30 16.0
vwma_sell_count_7 5.0
xs_z_price_vs_roll7 0.0024507763412804336
xs_z_roc_30 0.0184995643431861
xs_z_volatility_30 0.1439629611401887