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kyLELEng
/
mag7-tcn-sequence-model

PyTorch
Joblib
finance
tcn
time-series
mag7
private-dataset-trained
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Upload optimized A10G-large TCN model

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Files changed (8) hide show
  1. README.md +247 -15
  2. feature_columns.json +189 -0
  3. metrics.json +241 -0
  4. model.pt +3 -0
  5. scaler.joblib +3 -0
  6. test_scores_public.csv +1674 -0
  7. training_log.csv +219 -0
  8. trial_results.csv +13 -0
README.md CHANGED
@@ -12,22 +12,254 @@ library_name: pytorch
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  # MAG7 TCN Sequence Model
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- Public model artifact repo for a Temporal Convolutional Network trained on a private MAG7 daily ML dataset.
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- The dataset used for training is private and is not distributed with this model:
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- - Private dataset: `kyLELEng/mag7-ml-daily-dataset-5y`
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- - Default target: `target_next_10d_outperform_qqq`
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- - Split method: chronological train / validation / test
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- - Training hardware: Hugging Face Jobs, `a10g-large`
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- After training completes, this repo contains:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- - `model.pt`
27
- - `scaler.joblib`
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- - `feature_columns.json`
29
- - `metrics.json`
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- - `training_log.csv`
31
- - `test_predictions.csv`
32
-
33
- This model is for research only. It is not investment advice.
 
12
 
13
  # MAG7 TCN Sequence Model
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15
+ Public TCN sequence model trained on a private MAG7 daily ML dataset.
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17
+ The dataset remains private and is not distributed in this repo.
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+ ## Metrics
 
 
 
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+ ```json
22
+ {
23
+ "app_version": "mag7-tcn-a10g-large-v1",
24
+ "dataset_repo": "kyLELEng/mag7-ml-daily-dataset-5y",
25
+ "dataset_file": "mag7_ml_daily_dataset_5y.csv",
26
+ "model_repo": "kyLELEng/mag7-tcn-sequence-model",
27
+ "target_col": "target_next_10d_outperform_qqq",
28
+ "hardware_requested": "a10g-large",
29
+ "device": "cuda",
30
+ "split_info": {
31
+ "train_end": "2024-03-06",
32
+ "validation_end": "2025-02-19",
33
+ "test_start": "2025-02-20"
34
+ },
35
+ "sample_counts": {
36
+ "train": 4606,
37
+ "val": 1673,
38
+ "test": 1673
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+ },
40
+ "feature_count": 187,
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+ "lookback": 60,
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+ "best_trial": {
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+ "weight_decay": 6.880481204463462e-05,
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+ "best_score": 0.5440268185410438,
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+ "epochs": 27,
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+ "val_loss": 1.1796759750161852,
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+ "val_precision": 0.5676691729323309,
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+ "val_recall": 0.5194954128440367
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+ "test_metrics": {
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+ "top_minus_bottom_future_return": -0.014513564296066761
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+ "all_trials": [
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+ {
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+ }
261
+ ]
262
+ }
263
+ ```
264
 
265
+ Research only. Not investment advice.
 
 
 
 
 
 
 
feature_columns.json ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ "rank_dashboard_ma200_slope_60d_annualized_pct_mag7",
3
+ "pct_rank_dashboard_ma200_slope_60d_annualized_pct_mag7",
4
+ "rank_ret_252d_mag7",
5
+ "pct_rank_ret_252d_mag7",
6
+ "rank_adx_14_mag7",
7
+ "pct_rank_adx_14_mag7",
8
+ "pct_rank_ret_120d_mag7",
9
+ "rank_ret_120d_mag7",
10
+ "rolling_low_252d",
11
+ "qqq_adx_14",
12
+ "spy_sma_50_above_200",
13
+ "qqq_realized_vol_20d",
14
+ "xsec_zscore_squeeze_ratio_mag7",
15
+ "week_of_year",
16
+ "pct_rank_squeeze_ratio_percentile_120d_mag7",
17
+ "xsec_zscore_dashboard_ma200_slope_60d_annualized_pct_mag7",
18
+ "month",
19
+ "pct_from_120d_low",
20
+ "rank_squeeze_ratio_mag7",
21
+ "pct_rank_squeeze_ratio_mag7",
22
+ "xsec_zscore_adx_14_mag7",
23
+ "rank_squeeze_ratio_percentile_120d_mag7",
24
+ "quarter",
25
+ "spy_realized_vol_20d",
26
+ "spy_adx_14",
27
+ "pct_from_252d_low",
28
+ "distance_from_52w_low",
29
+ "kc_width_20_2_10",
30
+ "atr_10",
31
+ "xsec_zscore_squeeze_ratio_percentile_120d_mag7",
32
+ "dashboard_trend_candidate",
33
+ "true_range",
34
+ "xsec_zscore_ret_120d_mag7",
35
+ "atr_14",
36
+ "spy_squeeze_ratio",
37
+ "ret_kurt_60d",
38
+ "xsec_zscore_ret_252d_mag7",
39
+ "atr_20",
40
+ "dashboard_lower_band_200_1p5",
41
+ "adx_trend_confirmed",
42
+ "excess_ret_vs_mag7_20d",
43
+ "qqq_squeeze_ratio",
44
+ "obv",
45
+ "rolling_low_120d",
46
+ "obv_sma_20",
47
+ "spy_realized_vol_60d",
48
+ "donchian_position_120d",
49
+ "xsec_zscore_residual_vs_qqq_40d_mag7",
50
+ "sma_200",
51
+ "dashboard_ma200",
52
+ "qqq_sma_50_above_200",
53
+ "price_above_sma_200",
54
+ "excess_ret_vs_mag7_252d",
55
+ "ema_200",
56
+ "excess_ret_vs_mag7_120d",
57
+ "realized_vol_20d",
58
+ "dashboard_range_boundary_regime",
59
+ "rs_vs_qqq_mom_20d_lag_3d",
60
+ "sma_150",
61
+ "qqq_realized_vol_60d",
62
+ "xsec_zscore_residual_vs_spy_40d_mag7",
63
+ "ret_120d",
64
+ "rolling_high_20d",
65
+ "dashboard_upper_band_200_1p5",
66
+ "rs_vs_qqq_ma20",
67
+ "rolling_high_120d",
68
+ "rs_vs_qqq_mom_20d_lag_2d",
69
+ "ema_100",
70
+ "rs_vs_qqq",
71
+ "rs_vs_spy_ma20",
72
+ "rs_vs_qqq_lag_1d",
73
+ "dashboard_adx_zone_code",
74
+ "adx_regime_code",
75
+ "log_ret_120d",
76
+ "bb_upper_20_2",
77
+ "kelt_upper_20_2_10",
78
+ "rs_vs_qqq_lag_10d",
79
+ "realized_vol_252d",
80
+ "dashboard_trend_trade_regime_code_lag_10d",
81
+ "rs_vs_qqq_lag_2d",
82
+ "rs_vs_qqq_lag_3d",
83
+ "rs_vs_qqq_lag_5d",
84
+ "rs_vs_spy_lag_10d",
85
+ "rs_vs_qqq_mom_20d_lag_5d",
86
+ "rank_rs_vs_spy_mag7",
87
+ "rank_rs_vs_qqq_mag7",
88
+ "pct_rank_rs_vs_spy_mag7",
89
+ "pct_rank_rs_vs_qqq_mag7",
90
+ "sma_100",
91
+ "rs_vs_spy",
92
+ "rs_vs_spy_lag_1d",
93
+ "rs_vs_spy_mom_20d_lag_3d",
94
+ "rs_vs_spy_ma60",
95
+ "rs_vs_spy_lag_5d",
96
+ "rs_vs_spy_lag_3d",
97
+ "rs_vs_qqq_ma60",
98
+ "dollar_volume_sma_20",
99
+ "rs_vs_spy_lag_2d",
100
+ "price_vs_sma_150",
101
+ "realized_vol_10d",
102
+ "sma_20",
103
+ "bb_mid_20",
104
+ "dashboard_band_width_pct_200_1p5",
105
+ "ema_50",
106
+ "spy_ret_120d",
107
+ "bb_width_20_2",
108
+ "ema_26",
109
+ "dashboard_ma200_slope_60d_annualized_pct",
110
+ "sma_200_slope_60d",
111
+ "price_vs_sma_200",
112
+ "kelt_mid_20",
113
+ "ema_20",
114
+ "volume_ratio_60",
115
+ "ret_252d",
116
+ "rolling_vwap_20",
117
+ "sma_50_above_200",
118
+ "px_high",
119
+ "ema_12",
120
+ "pct_rank_trend_score_0_to_5_mag7",
121
+ "pct_rank_residual_vs_qqq_40d_mag7",
122
+ "rank_residual_vs_qqq_40d_mag7",
123
+ "dashboard_ma200_slope_60d_annualized_pct_lag_1d",
124
+ "trend_score_0_to_5_lag_10d",
125
+ "sma_50",
126
+ "dashboard_ma50",
127
+ "px_close",
128
+ "adj_close",
129
+ "ema_8",
130
+ "rs_vs_qqq_mom_20d",
131
+ "px_open",
132
+ "sma_10",
133
+ "rs_vs_spy_mom_20d_lag_2d",
134
+ "dashboard_ma200_slope_60d_annualized_pct_lag_2d",
135
+ "sma_5",
136
+ "rolling_high_252d",
137
+ "px_low",
138
+ "high",
139
+ "beta_vs_qqq_252d",
140
+ "rolling_low_20d",
141
+ "dashboard_ma200_slope_60d_annualized_pct_lag_3d",
142
+ "bb_lower_20_2",
143
+ "ret_skew_120d",
144
+ "close",
145
+ "open",
146
+ "ret_kurt_120d",
147
+ "volume_sma_60",
148
+ "rs_vs_spy_mom_20d_lag_5d",
149
+ "low",
150
+ "kelt_lower_20_2_10",
151
+ "rolling_low_60d",
152
+ "rolling_low_55d",
153
+ "dashboard_exhaustion_watch_regime",
154
+ "adx_strong_trend_or_exhaustion",
155
+ "trend_score_0_to_5",
156
+ "dashboard_price_below_lower_band_200_1p5",
157
+ "dashboard_ma200_slope_60d_annualized_pct_lag_5d",
158
+ "adx_14",
159
+ "rs_vs_qqq_mom_20d_lag_1d",
160
+ "dollar_volume",
161
+ "rolling_high_55d",
162
+ "macd_hist_lag_10d",
163
+ "rolling_sharpe_120d",
164
+ "adx_14_lag_1d",
165
+ "xsec_zscore_trend_score_0_to_5_mag7",
166
+ "rs_vs_spy_mom_20d",
167
+ "residual_vs_spy_20d",
168
+ "volume_zscore_60",
169
+ "price_vs_ema_200",
170
+ "residual_vs_qqq_20d",
171
+ "rolling_high_60d",
172
+ "ret_kurt_20d",
173
+ "xsec_zscore_rs_vs_qqq_mag7",
174
+ "xsec_zscore_rs_vs_spy_mag7",
175
+ "xsec_zscore_dollar_volume_mag7",
176
+ "spy_price_vs_sma_200",
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training_log.csv ADDED
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