diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d8d1060 --- /dev/null +++ b/.gitignore @@ -0,0 +1,22 @@ +# IDE - IntelliJ IDEA / PyCharm +.idea/ +*.iml +*.ipr +*.iws + +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +*.egg-info/ +.eggs/ +dist/ +build/ +venv/ +.env +.env.local + +# 可选：数据库文件（若不想提交到仓库可取消下一行注释） +# models/database.db diff --git a/.idea/.gitignore b/.idea/.gitignore deleted file mode 100644 index b6b1ecf..0000000 --- a/.idea/.gitignore +++ /dev/null @@ -1,10 +0,0 @@ -# 默认忽略的文件 -/shelf/ -/workspace.xml -# 已忽略包含查询文件的默认文件夹 -/queries/ -# Datasource local storage ignored files -/dataSources/ -/dataSources.local.xml -# 基于编辑器的 HTTP 客户端请求 -/httpRequests/ diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml deleted file mode 100644 index 105ce2d..0000000 --- a/.idea/inspectionProfiles/profiles_settings.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - \ No newline at end of file diff --git a/.idea/jyx_code.iml b/.idea/jyx_code.iml deleted file mode 100644 index 6ae1172..0000000 --- a/.idea/jyx_code.iml +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml deleted file mode 100644 index 647af78..0000000 --- a/.idea/misc.xml +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml deleted file mode 100644 index b569b6b..0000000 --- a/.idea/modules.xml +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml deleted file mode 100644 index 35eb1dd..0000000 --- a/.idea/vcs.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/models/eth_ai_strategy/model.txt b/models/eth_ai_strategy/model.txt index 96ae2af..57bd7cb 100644 --- a/models/eth_ai_strategy/model.txt +++ b/models/eth_ai_strategy/model.txt @@ -6,24 +6,24 @@ label_index=0 max_feature_idx=44 objective=multiclass num_class:3 feature_names=Column_0 Column_1 Column_2 Column_3 Column_4 Column_5 Column_6 Column_7 Column_8 Column_9 Column_10 Column_11 Column_12 Column_13 Column_14 Column_15 Column_16 Column_17 Column_18 Column_19 Column_20 Column_21 Column_22 Column_23 Column_24 Column_25 Column_26 Column_27 Column_28 Column_29 Column_30 Column_31 Column_32 Column_33 Column_34 Column_35 Column_36 Column_37 Column_38 Column_39 Column_40 Column_41 Column_42 Column_43 Column_44 -feature_infos=[-0.56020860473416656:1.5378211973321756] [0.0012002529405936665:0.52389054802341473] [-2.5079334222202467:3.284972584799847] [0.0019716498960659196:0.64034197829291428] [0:1] [0.0018229166666667357:1.1726542739974952] [0:100] [0:99.829059829060029] [-282.86421970945156:278.13386758527884] [-100:0] [1.1787819253438414:99.874371859296602] [-2.6793525179856155:3.4851550680786652] [0.0019719130986470081:0.67272935937751044] [-4.2408344189366671:4.1512847893286775] [0:4.2408344189366671] 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15.13558381423354 21.892001882195473 43.162449449300766 17.513860516250134 38.20722658932209 24.150460235774517 +leaf_count=355 120 74 60 94 66 88 59 85 378 122 41 48 50 168 64 133 5448 305 59 97 83 56 45 114 65 69 136 61 124 87 +internal_value=-2.36502e-06 0.00138771 0.00465246 0.0062169 0.0149564 0.00602549 0.00304216 -0.00599152 0.00719233 -0.000401499 -0.0001946 -0.000602693 0.0056468 0.0013827 0.00864672 -0.000152064 0.000305191 -0.00914956 -0.0105743 -0.0174362 0 -0.0154529 -0.00155107 0.00129168 -0.00607079 -0.00900422 -0.0158193 -0.00162194 -0.00393973 0.00216559 +internal_weight=2619.1 581.417 276.21 253.226 66.9577 44.6655 186.269 58.2427 128.026 2037.68 2002.61 1872.73 129.887 101.078 70.8529 1792.33 1705.21 87.1184 80.3947 48.4989 31.8958 30.2251 305.206 186.727 118.479 104.34 65.0545 154.376 136.862 39.286 +internal_count=8754 1960 904 830 214 148 616 179 437 6794 6674 6214 460 338 232 5934 5581 353 280 156 124 106 1056 654 402 357 205 540 479 152 is_linear=0 shrinkage=0.05 @@ -14262,51 +14262,51 @@ shrinkage=0.05 end of trees feature_importances: -Column_28=1467 -Column_43=1236 -Column_31=1167 -Column_44=1111 -Column_21=1045 -Column_40=1017 -Column_5=930 -Column_20=749 -Column_3=671 -Column_39=668 -Column_23=650 -Column_33=614 -Column_32=593 -Column_12=545 -Column_1=530 -Column_30=509 -Column_10=504 -Column_38=471 -Column_4=469 -Column_36=451 -Column_7=438 -Column_15=425 -Column_35=414 -Column_37=375 -Column_16=367 -Column_27=350 -Column_41=321 -Column_6=320 -Column_29=303 -Column_2=292 -Column_17=279 -Column_25=279 -Column_24=272 -Column_19=270 -Column_34=262 -Column_22=260 -Column_26=246 -Column_8=229 -Column_14=216 -Column_11=206 -Column_9=158 -Column_18=136 -Column_0=116 -Column_42=102 -Column_13=58 +Column_28=1117 +Column_5=1071 +Column_40=816 +Column_12=662 +Column_31=650 +Column_21=570 +Column_20=490 +Column_39=485 +Column_16=443 +Column_7=408 +Column_1=399 +Column_30=385 +Column_3=376 +Column_32=376 +Column_19=362 +Column_27=362 +Column_43=355 +Column_10=341 +Column_4=339 +Column_33=321 +Column_44=311 +Column_14=290 +Column_35=289 +Column_38=286 +Column_36=285 +Column_15=281 +Column_6=260 +Column_9=259 +Column_24=252 +Column_29=250 +Column_41=246 +Column_37=244 +Column_25=219 +Column_8=214 +Column_34=204 +Column_0=201 +Column_17=197 +Column_11=178 +Column_2=173 +Column_26=144 +Column_18=108 +Column_13=95 +Column_23=76 +Column_42=70 +Column_22=49 parameters: [boosting: gbdt] diff --git a/models/eth_ai_strategy/strategy_params.json b/models/eth_ai_strategy/strategy_params.json index dc95168..861af33 100644 --- a/models/eth_ai_strategy/strategy_params.json +++ b/models/eth_ai_strategy/strategy_params.json @@ -1,31 +1,31 @@ { - "bb_period": 20, + "bb_period": 14, "bb_std": 2.0, - "keltner_period": 20, + "keltner_period": 14, "keltner_atr_mult": 2.0, - "donchian_period": 20, - "stoch_k_period": 14, - "stoch_d_period": 3, - "cci_period": 20, + "donchian_period": 30, + "stoch_k_period": 20, + "stoch_d_period": 5, + "cci_period": 14, "willr_period": 14, - "rsi_period": 14, + "rsi_period": 21, "atr_band_period": 20, "atr_band_mult": 2.0, "zscore_period": 20, "lr_period": 20, "lr_std_mult": 2.0, "median_band_period": 20, - "pct_rank_period": 20, - "chandelier_period": 22, - "chandelier_mult": 3.0, + "pct_rank_period": 30, + "chandelier_period": 14, + "chandelier_mult": 2.5, "std_band_period": 14, "std_band_mult": 2.0, - "elder_period": 13, - "forward_bars": 10, + "elder_period": 10, + "forward_bars": 15, "label_threshold": 0.002, - "prob_threshold": 0.45, - "sl_pct": 0.004, - "tp_pct": 0.006, + "prob_threshold": 0.52, + "sl_pct": 0.003, + "tp_pct": 0.005, "min_hold_seconds": 180, "max_hold_seconds": 1800, "margin_per_trade": 100.0, @@ -34,7 +34,7 @@ "rebate_rate": 0.9, "train_period": "2020-01-01 ~ 2021-01-01", "test_period": "2021-01-01 ~ 2022-01-01", - "kline_period": "5m", + "kline_period": "1h", "initial_balance": 10000.0, "max_dd_target": 500.0 } \ No newline at end of file diff --git a/训练AI策略_ETH合约.py b/训练AI策略_ETH合约.py index b52c085..9f55ca3 100644 --- a/训练AI策略_ETH合约.py +++ b/训练AI策略_ETH合约.py @@ -41,7 +41,7 @@ NET_FEE_PER_TRADE = FULL_FEE_PER_TRADE - REBATE_PER_TRADE # 净手续费 # 本金与风控目标 INITIAL_BALANCE = 10000.0 # 本金 10000 USDT -MAX_DD_TARGET = 500.0 # 目标：可用资金最大回撤 ≤ 500 USDT +MAX_DD_TARGET = 300.0 # 目标：可用资金最大回撤 ≤ 300 USDT # 训练 / 真实回测 时间范围（左闭右开） TRAIN_START = '2020-01-01' @@ -722,18 +722,18 @@ def _grid_indicator_and_strategy(max_configs: int = 220, seed: int = 42): chandelier_opts = [(22, 3.0), (14, 2.5), (30, 3.5)] std_band_opts = [(14, 2.0), (20, 2.0), (14, 2.5)] elder_opts = [10, 13, 20] - # 策略：更保守选项压低回撤（紧止损、高置信、风控参数） + # 策略：严格风控压低回撤至300U以内（紧止损、高置信、严风控） label_opts = [(8, 0.0015), (10, 0.002), (10, 0.003), (15, 0.002), (20, 0.003)] sl_tp_opts = [ - (0.0015, 0.003), (0.002, 0.004), (0.0025, 0.005), (0.003, 0.005), - (0.003, 0.006), (0.004, 0.006), (0.004, 0.008), + (0.0015, 0.003), (0.002, 0.004), (0.002, 0.005), (0.0025, 0.005), + (0.003, 0.005), (0.003, 0.006), (0.003, 0.008), ] - prob_opts = [0.48, 0.50, 0.52, 0.55] - meta_th_opts = [0.50, 0.55, 0.60, 0.65] - daily_loss_opts = [50.0, 80.0, 120.0] - dd_breaker_opts = [300.0, 400.0, 500.0] - cooldown_opts = [20, 30, 50] - consec_loss_opts = [3, 5, 7] + prob_opts = [0.50, 0.52, 0.55, 0.58] + meta_th_opts = [0.55, 0.60, 0.65, 0.70] + daily_loss_opts = [30.0, 40.0, 50.0, 60.0] + dd_breaker_opts = [150.0, 200.0, 250.0, 280.0] + cooldown_opts = [30, 50, 80] + consec_loss_opts = [2, 3, 4] out = [] for _ in range(max_configs): bb_p, bb_s = bb_opts[rng.integers(0, len(bb_opts))] @@ -819,10 +819,10 @@ def run_cycle_compare(periods: list, do_save_best: bool = True): trades, model, feature_cols = run_single( df_2020, df_2021, ind, forward_bars=10, label_threshold=0.002, - prob_threshold=0.50, sl_pct=0.003, tp_pct=0.006, + prob_threshold=0.52, sl_pct=0.003, tp_pct=0.006, min_hold=180, max_hold=1800, - meta_threshold=0.55, daily_loss_limit=80.0, - dd_circuit_breaker=400.0, cooldown_bars=30, max_consec_losses=5, + meta_threshold=0.60, daily_loss_limit=40.0, + dd_circuit_breaker=200.0, cooldown_bars=50, max_consec_losses=3, use_ensemble=True, ) if not trades or model is None: