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iterativviterativv
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X6: signal 46: Quick mode (Long).
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‎NostalgiaForInfinityX6.py‎

Lines changed: 128 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -594,6 +594,7 @@ def version(self) -> str:
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"long_entry_condition_43_enable": True,
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"long_entry_condition_44_enable": True,
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"long_entry_condition_45_enable": True,
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"long_entry_condition_46_enable": True,
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"long_entry_condition_101_enable": True,
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"long_entry_condition_102_enable": True,
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"long_entry_condition_120_enable": True,
@@ -6364,6 +6365,133 @@ def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
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long_entry_logic.append(df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
63656366
long_entry_logic.append(df["close_15m"] < (df["EMA_20_15m"] * 0.920))
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6368+
# Condition #46 - Quick mode (Long).
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if long_entry_condition_index == 46:
6370+
# Protections
6371+
long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
6372+
6373+
# 15m & 4h down move
6374+
long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0))
6375+
# 15m & 4h down move, 4h still high
6376+
long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0))
6377+
# 15m & 1h & 4h down move
6378+
long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0))
6379+
# 15m & 4h down move, 4h still high
6380+
long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0))
6381+
# 15m down move, 1h & 4h still high
6382+
long_entry_logic.append(
6383+
(df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
6384+
)
6385+
# 15m & 4h down move, 4h high
6386+
long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 85.0))
6387+
# 1h & 4h down move
6388+
long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0))
6389+
# 1h & 4h down move, 4h still not low enough
6390+
long_entry_logic.append(
6391+
(df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
6392+
)
6393+
# 1h down move, 4h high
6394+
long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 70.0))
6395+
# 1h & 4h down move, 4h still not low enough
6396+
long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 30.0))
6397+
# 1h & 4h down move, 4h still not low enough
6398+
long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 30.0))
6399+
# 1h & 4h & 1d down move
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long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 30.0))
6401+
# 1h & 4h down move, 4h high
6402+
long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0))
6403+
# 1h & 1d down move, 4h still not low enough
6404+
long_entry_logic.append(
6405+
(df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
6406+
)
6407+
# 1h down move, 1h still high
6408+
long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 50.0))
6409+
# 1h & 4h & 1d down move
6410+
long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0))
6411+
# 1h & 4h down move, 4h still not low enough
6412+
long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 30.0))
6413+
# 1h & 4h down move, 1d overbought
6414+
long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 50.0))
6415+
# 1h & 4h & 1d down move
6416+
long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0))
6417+
# 1h & 4h down move, 4h still high
6418+
long_entry_logic.append(
6419+
(df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
6420+
)
6421+
# 1h & 1d down move, 1d still high
6422+
long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 50.0))
6423+
# 1h down move, 4h high
6424+
long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
6425+
# 1h & 4h down move, 1h still not low enough
6426+
long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 30.0))
6427+
# 1h & 4h down move, 4h still high
6428+
long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0))
6429+
# 1h & 1d down move, 1d high
6430+
long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 70.0))
6431+
# 1h & 4h down move, 4h high
6432+
long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
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# 1h down move, 1h high
6434+
long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0))
6435+
# 1h down move, 4h high
6436+
long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 80.0))
6437+
# 1h down move, 4h high
6438+
long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
6439+
# 1h down move, 1h & 4h high
6440+
long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0))
6441+
# 4h & 1d down move
6442+
long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0))
6443+
# 4h down move, 4h high
6444+
long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 90.0))
6445+
# 4h down move, 4h & 1d high
6446+
long_entry_logic.append(
6447+
(df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
6448+
)
6449+
# pump, drop but not yet near the previous lows
6450+
long_entry_logic.append(
6451+
(((df["high_max_6_1d"] - df["low_min_6_1d"]) / df["low_min_6_1d"]) < 2.0)
6452+
| (df["close"] > (df["high_max_12_4h"] * 0.50))
6453+
| (df["close"] < (df["low_min_24_4h"] * 1.05))
6454+
)
6455+
# 1d overbought, drop but not yet near the previous lows
6456+
long_entry_logic.append(
6457+
(df["ROC_9_1d"] < 50.0)
6458+
| (df["close"] > (df["high_max_6_1d"] * 0.70))
6459+
| (df["close"] < (df["low_min_12_1d"] * 1.25))
6460+
)
6461+
# 1d overbought, drop but not yet near the previous lows
6462+
long_entry_logic.append(
6463+
(((df["high_max_12_1d"] - df["low_min_12_1d"]) / df["low_min_12_1d"]) < 2.5)
6464+
| (df["close"] > (df["high_max_6_1d"] * 0.60))
6465+
| (df["close"] < (df["low_min_12_1d"] * 1.25))
6466+
)
6467+
# big drop in the last 12 days, 1h down move
6468+
long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.30)) | (df["RSI_3_1h"] > 20.0))
6469+
# big drop in the last 12 days, 4h still high
6470+
long_entry_logic.append(
6471+
(df["close"] > (df["high_max_12_1d"] * 0.40)) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
6472+
)
6473+
# big drop in the last 20 days, 1h down move
6474+
long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.40)) | (df["RSI_3_1h"] > 10.0))
6475+
# big drop in the last 20 days, 4h down move
6476+
long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["RSI_3_4h"] > 25.0))
6477+
# big drop in the last 30 days, 4h down move
6478+
long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.40)) | (df["RSI_3_4h"] > 15.0))
6479+
# big drop in the last 30 days, 4h still not low enough
6480+
long_entry_logic.append(
6481+
(df["close"] > (df["high_max_30_1d"] * 0.25)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
6482+
)
6483+
6484+
# Logic
6485+
long_entry_logic.append(df["RSI_3"] < 40.0)
6486+
long_entry_logic.append(df["RSI_3_15m"] < 50.0)
6487+
long_entry_logic.append(df["WILLR_14_15m"] < -50.0)
6488+
long_entry_logic.append(df["AROONU_14_15m"] < 25.0)
6489+
long_entry_logic.append(df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
6490+
long_entry_logic.append(df["WILLR_84_1h"] < -70.0)
6491+
long_entry_logic.append(df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
6492+
long_entry_logic.append(df["BBB_20_2.0_1h"] > 16.0)
6493+
long_entry_logic.append(df["close_max_48"] >= (df["close"] * 1.10))
6494+
63676495
# Condition #101 - Rapid mode (Long).
63686496
if long_entry_condition_index == 101:
63696497
# Protections

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