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NostalgiaForInfinityX2.py
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4594 lines (4084 loc) · 262 KB
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import copy
import logging
import pathlib
import rapidjson
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy as np
import talib.abstract as ta
import pandas as pd
import pandas_ta as pta
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import merge_informative_pair
from pandas import DataFrame, Series
from functools import reduce, partial
from freqtrade.persistence import Trade
from datetime import datetime, timedelta
import time
from typing import Optional
import warnings
log = logging.getLogger(__name__)
#log.setLevel(logging.DEBUG)
warnings.simplefilter(action='ignore', category=pd.errors.PerformanceWarning)
#############################################################################################################
## NostalgiaForInfinityX2 by iterativ ##
## https://github.com/iterativv/NostalgiaForInfinity ##
## ##
## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ##
## ##
#############################################################################################################
## GENERAL RECOMMENDATIONS ##
## ##
## For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake. ##
## A pairlist with 40 to 80 pairs. Volume pairlist works well. ##
## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ##
## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ##
## Ensure that you don't override any variables in you config.json. Especially ##
## the timeframe (must be 5m). ##
## use_exit_signal must set to true (or not set at all). ##
## exit_profit_only must set to false (or not set at all). ##
## ignore_roi_if_entry_signal must set to true (or not set at all). ##
## ##
#############################################################################################################
## DONATIONS ##
## ##
## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ##
## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ##
## BEP20/BSC (USDT, ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ##
## TRC20/TRON (USDT, TRON, ...): TTAa9MX6zMLXNgWMhg7tkNormVHWCoq8Xk ##
## ##
## REFERRAL LINKS ##
## ##
## Binance: https://accounts.binance.com/en/register?ref=C68K26A9 (20% discount on trading fees) ##
## Kucoin: https://www.kucoin.com/r/af/QBSSS5J2 (20% lifetime discount on trading fees) ##
## Gate.io: https://www.gate.io/signup/8054544 (20% discount on trading fees) ##
## OKX: https://www.okx.com/join/11749725931 (20% discount on trading fees) ##
## ByBit: https://partner.bybit.com/b/nfi ##
## Huobi: https://www.huobi.com/en-us/v/register/double-invite/?inviter_id=11345710&invite_code=ubpt2223 ##
## (20% discount on trading fees) ##
## Bitvavo: https://account.bitvavo.com/create?a=D22103A4BC (no fees for the first € 1000) ##
#############################################################################################################
class NostalgiaForInfinityX2(IStrategy):
INTERFACE_VERSION = 3
def version(self) -> str:
return "v12.0.19"
# ROI table:
minimal_roi = {
"0": 100.0,
}
stoploss = -0.99
# Trailing stoploss (not used)
trailing_stop = False
trailing_only_offset_is_reached = True
trailing_stop_positive = 0.01
trailing_stop_positive_offset = 0.03
use_custom_stoploss = False
# Optimal timeframe for the strategy.
timeframe = '5m'
info_timeframes = ['15m','1h','4h','1d']
# BTC informatives
btc_info_timeframes = ['5m','15m','1h','4h','1d']
# Backtest Age Filter emulation
has_bt_agefilter = False
bt_min_age_days = 3
# Exchange Downtime protection
has_downtime_protection = False
# Do you want to use the hold feature? (with hold-trades.json)
hold_support_enabled = True
# Run "populate_indicators()" only for new candle.
process_only_new_candles = True
# These values can be overridden in the "ask_strategy" section in the config.
use_exit_signal = True
exit_profit_only = False
ignore_roi_if_entry_signal = True
# Number of candles the strategy requires before producing valid signals
startup_candle_count: int = 480
# Normal mode bull tags
normal_mode_bull_tags = ['force_entry', '1', '2', '3', '4', '5', '6']
# Normal mode bear tags
normal_mode_bear_tags = ['11', '12', '13', '14', '15', '16']
# Pump mode bull tags
pump_mode_bull_tags = ['21']
# Pump mode bear tags
pump_mode_bear_tags = ['31']
# Quick mode bull tags
quick_mode_bull_tags = ['41', '42', '43', '44']
# Quick mode bear tags
quick_mode_bear_tags = ['51', '52', '53', '54']
# Stop thesholds. Bull, Bear.
stop_thresholds_normal = [-0.1, -0.1]
stop_thresholds_pump = [-0.1, -0.1]
stop_thresholds_quick = [-0.1, -0.1]
#############################################################
# Buy side configuration
buy_params = {
# Enable/Disable conditions
# -------------------------------------------------------
"buy_condition_1_enable": True,
"buy_condition_2_enable": True,
"buy_condition_3_enable": True,
"buy_condition_4_enable": True,
"buy_condition_5_enable": True,
"buy_condition_6_enable": True,
"buy_condition_11_enable": True,
"buy_condition_12_enable": True,
"buy_condition_13_enable": True,
"buy_condition_14_enable": True,
"buy_condition_15_enable": True,
"buy_condition_16_enable": True,
"buy_condition_21_enable": True,
"buy_condition_31_enable": True,
"buy_condition_41_enable": True,
"buy_condition_42_enable": True,
"buy_condition_43_enable": True,
"buy_condition_44_enable": True,
"buy_condition_51_enable": True,
"buy_condition_52_enable": True,
"buy_condition_53_enable": True,
"buy_condition_54_enable": True,
}
buy_protection_params = {}
#############################################################
# CACHES
hold_trades_cache = None
target_profit_cache = None
#############################################################
def __init__(self, config: dict) -> None:
super().__init__(config)
if (('exit_profit_only' in self.config and self.config['exit_profit_only'])
or ('sell_profit_only' in self.config and self.config['sell_profit_only'])):
self.exit_profit_only = True
if ('stop_thresholds_normal' in self.config):
self.stop_thresholds_normal = self.config['stop_thresholds_normal']
if ('stop_thresholds_pump' in self.config):
self.stop_thresholds_pump = self.config['stop_thresholds_pump']
if ('stop_thresholds_quick' in self.config):
self.stop_thresholds_quick = self.config['stop_thresholds_quick']
if self.target_profit_cache is None:
bot_name = ""
if ('bot_name' in self.config):
bot_name = self.config["bot_name"] + "-"
self.target_profit_cache = Cache(
self.config["user_data_dir"] / ("nfix2-profit_max-" + bot_name + self.config["exchange"]["name"] + "-" + self.config["stake_currency"] + ("-(backtest)" if (self.config['runmode'].value == 'backtest') else "") + ".json")
)
# If the cached data hasn't changed, it's a no-op
self.target_profit_cache.save()
def get_ticker_indicator(self):
return int(self.timeframe[:-1])
def exit_normal_bull(self, pair: str, current_rate: float, current_profit: float,
max_profit: float, max_loss: float,
last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5,
trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple:
sell = False
# Original sell signals
sell, signal_name = self.exit_normal_bull_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Main sell signals
if not sell:
sell, signal_name = self.exit_normal_bull_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Williams %R based sells
if not sell:
sell, signal_name = self.exit_normal_bull_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Stoplosses
if not sell:
sell, signal_name = self.exit_normal_bull_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Profit Target Signal
# Check if pair exist on target_profit_cache
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_rate = self.target_profit_cache.data[pair]['rate']
previous_profit = self.target_profit_cache.data[pair]['profit']
previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason']
previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached'])
sell_max, signal_name_max = self.normal_bull_exit_profit_target(pair, trade, current_time, current_rate, current_profit,
last_candle, previous_candle_1,
previous_rate, previous_profit, previous_sell_reason,
previous_time_profit_reached, enter_tags)
if sell_max and signal_name_max is not None:
return True, f"{signal_name_max}_m"
if (current_profit > (previous_profit + 0.03)) and (previous_sell_reason not in ["exit_normal_bull_stoploss_doom"]):
# Update the target, raise it.
mark_pair, mark_signal = self.normal_bull_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1)
if mark_pair:
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
# Add the pair to the list, if a sell triggered and conditions met
if sell and signal_name is not None:
previous_profit = None
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_profit = self.target_profit_cache.data[pair]['profit']
if (
(previous_profit is None)
or (previous_profit < current_profit)
):
mark_pair, mark_signal = self.normal_bull_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1)
if mark_pair:
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
else:
# Just sell it, without maximize
return True, f"{signal_name}"
else:
if (
(current_profit >= 0.03)
):
previous_profit = None
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_profit = self.target_profit_cache.data[pair]['profit']
if (previous_profit is None) or (previous_profit < current_profit):
mark_signal = "exit_profit_normal_bull_max"
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
if (signal_name not in ["exit_profit_normal_bull_max", "exit_normal_bull_stoploss_doom"]):
if sell and (signal_name is not None):
return True, f"{signal_name}"
return False, None
def normal_bull_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple:
if sell and (signal_name is not None):
return pair, signal_name
return None, None
def normal_bull_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple:
if (previous_sell_reason in ["exit_normal_bull_stoploss_doom"]):
if (current_profit > 0.04):
# profit is over the threshold, don't exit
self._remove_profit_target(pair)
return False, None
if (current_profit < -0.18):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (current_profit < -0.1):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (current_profit < -0.04):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
else:
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (previous_sell_reason in ["exit_profit_normal_bull_max"]):
if (current_profit < 0.001):
if (current_profit < (previous_profit - 0.08)):
return True, previous_sell_reason
elif (0.001 <= current_profit < 0.01):
if (current_profit < (previous_profit - 0.01)):
return True, previous_sell_reason
elif (0.01 <= current_profit < 0.02):
if (current_profit < (previous_profit - 0.02)):
return True, previous_sell_reason
elif (0.02 <= current_profit < 0.03):
if (current_profit < (previous_profit - 0.03)):
return True, previous_sell_reason
elif (0.03 <= current_profit < 0.05):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (0.05 <= current_profit < 0.08):
if (current_profit < (previous_profit - 0.05)):
return True, previous_sell_reason
elif (0.08 <= current_profit < 0.12):
if (current_profit < (previous_profit - 0.06)):
return True, previous_sell_reason
elif (0.12 <= current_profit):
if (current_profit < (previous_profit - 0.07)):
return True, previous_sell_reason
else:
return False, None
return False, None
def exit_normal_bull_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
# Sell signal 1
if (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bull_1_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bull_1_2_1'
# Sell signal 2
elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bull_2_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bull_2_2_1'
# Sell signal 3
elif (last_candle['rsi_14'] > 85.0) and (last_candle['rsi_14_4h'] > 75.0):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bull_3_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bull_3_2_1'
# Sell signal 4
elif (last_candle['rsi_14'] > 80.0) and (last_candle['rsi_14_1h'] > 80.0) and (last_candle['rsi_14_4h'] > 75.0):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bull_4_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bull_4_2_1'
# Sell signal 6
elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 79.0):
if (current_profit > 0.01):
return True, 'exit_normal_bull_6_1'
# Sell signal 7
elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bull_7_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bull_7_2_1'
# Sell signal 8
elif (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bull_8_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bull_8_2_1'
return False, None
def exit_normal_bull_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
if (last_candle['close'] > last_candle['sma_200_1h']):
if 0.01 > current_profit >= 0.001:
if (last_candle['rsi_14'] < 20.0):
return True, 'exit_normal_bull_o_0'
elif 0.02 > current_profit >= 0.01:
if (last_candle['rsi_14'] < 28.0):
return True, 'exit_normal_bull_o_1'
elif 0.03 > current_profit >= 0.02:
if (last_candle['rsi_14'] < 30.0):
return True, 'exit_normal_bull_o_2'
elif 0.04 > current_profit >= 0.03:
if (last_candle['rsi_14'] < 32.0):
return True, 'exit_normal_bull_o_3'
elif 0.05 > current_profit >= 0.04:
if (last_candle['rsi_14'] < 34.0):
return True, 'exit_normal_bull_o_4'
elif 0.06 > current_profit >= 0.05:
if (last_candle['rsi_14'] < 36.0):
return True, 'exit_normal_bull_o_5'
elif 0.07 > current_profit >= 0.06:
if (last_candle['rsi_14'] < 38.0):
return True, 'exit_normal_bull_o_6'
elif 0.08 > current_profit >= 0.07:
if (last_candle['rsi_14'] < 40.0):
return True, 'exit_normal_bull_o_7'
elif 0.09 > current_profit >= 0.08:
if (last_candle['rsi_14'] < 42.0):
return True, 'exit_normal_bull_o_8'
elif 0.1 > current_profit >= 0.09:
if (last_candle['rsi_14'] < 44.0):
return True, 'exit_normal_bull_o_9'
elif 0.12 > current_profit >= 0.1:
if (last_candle['rsi_14'] < 46.0):
return True, 'exit_normal_bull_o_10'
elif 0.2 > current_profit >= 0.12:
if (last_candle['rsi_14'] < 44.0):
return True, 'exit_normal_bull_o_11'
elif current_profit >= 0.2:
if (last_candle['rsi_14'] < 42.0):
return True, 'exit_normal_bull_o_12'
elif (last_candle['close'] < last_candle['sma_200_1h']):
if 0.01 > current_profit >= 0.001:
if (last_candle['rsi_14'] < 22.0):
return True, 'exit_normal_bull_u_0'
elif 0.02 > current_profit >= 0.01:
if (last_candle['rsi_14'] < 30.0):
return True, 'exit_normal_bull_u_1'
elif 0.03 > current_profit >= 0.02:
if (last_candle['rsi_14'] < 32.0):
return True, 'exit_normal_bull_u_2'
elif 0.04 > current_profit >= 0.03:
if (last_candle['rsi_14'] < 34.0):
return True, 'exit_normal_bull_u_3'
elif 0.05 > current_profit >= 0.04:
if (last_candle['rsi_14'] < 36.0):
return True, 'exit_normal_bull_u_4'
elif 0.06 > current_profit >= 0.05:
if (last_candle['rsi_14'] < 38.0):
return True, 'exit_normal_bull_u_5'
elif 0.07 > current_profit >= 0.06:
if (last_candle['rsi_14'] < 40.0):
return True, 'exit_normal_bull_u_6'
elif 0.08 > current_profit >= 0.07:
if (last_candle['rsi_14'] < 42.0):
return True, 'exit_normal_bull_u_7'
elif 0.09 > current_profit >= 0.08:
if (last_candle['rsi_14'] < 44.0):
return True, 'exit_normal_bull_u_8'
elif 0.1 > current_profit >= 0.09:
if (last_candle['rsi_14'] < 46.0):
return True, 'exit_normal_bull_u_9'
elif 0.12 > current_profit >= 0.1:
if (last_candle['rsi_14'] < 48.0):
return True, 'exit_normal_bull_u_10'
elif 0.2 > current_profit >= 0.12:
if (last_candle['rsi_14'] < 46.0):
return True, 'exit_normal_bull_u_11'
elif current_profit >= 0.2:
if (last_candle['rsi_14'] < 44.0):
return True, 'exit_normal_bull_u_12'
return False, None
def exit_normal_bull_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
if 0.01 > current_profit >= 0.001:
if (last_candle['r_480'] > -0.1):
return True, 'exit_normal_bull_w_0_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_0_2'
elif 0.02 > current_profit >= 0.01:
if (last_candle['r_480'] > -0.2):
return True, 'exit_normal_bull_w_1_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_1_2'
elif 0.03 > current_profit >= 0.02:
if (last_candle['r_480'] > -0.3):
return True, 'exit_normal_bull_w_2_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_2_2'
elif 0.04 > current_profit >= 0.03:
if (last_candle['r_480'] > -0.4):
return True, 'exit_normal_bull_w_3_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_3_2'
elif 0.05 > current_profit >= 0.04:
if (last_candle['r_480'] > -0.5):
return True, 'exit_normal_bull_w_4_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_4_2'
elif 0.06 > current_profit >= 0.05:
if (last_candle['r_480'] > -0.6):
return True, 'exit_normal_bull_w_5_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_5_2'
elif 0.07 > current_profit >= 0.06:
if (last_candle['r_480'] > -0.7):
return True, 'exit_normal_bull_w_6_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_6_2'
elif 0.08 > current_profit >= 0.07:
if (last_candle['r_480'] > -0.8):
return True, 'exit_normal_bull_w_7_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_7_2'
elif 0.09 > current_profit >= 0.08:
if (last_candle['r_480'] > -0.9):
return True, 'exit_normal_bull_w_8_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_8_2'
elif 0.1 > current_profit >= 0.09:
if (last_candle['r_480'] > -1.0):
return True, 'exit_normal_bull_w_9_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_9_2'
elif 0.12 > current_profit >= 0.1:
if (last_candle['r_480'] > -1.1):
return True, 'exit_normal_bull_w_10_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_10_2'
elif 0.2 > current_profit >= 0.12:
if (last_candle['r_480'] > -0.4):
return True, 'exit_normal_bull_w_11_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bull_w_11_2'
elif current_profit >= 0.2:
if (last_candle['r_480'] > -0.2):
return True, 'exit_normal_bull_w_12_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0):
return True, 'exit_normal_bull_w_12_2'
return False, None
def exit_normal_bull_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
# Stoploss doom
if (
(current_profit < self.stop_thresholds_normal[0])
):
return True, 'exit_normal_bull_stoploss_doom'
return False, None
def exit_normal_bear(self, pair: str, current_rate: float, current_profit: float,
max_profit: float, max_loss: float,
last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5,
trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple:
sell = False
# Original sell signals
sell, signal_name = self.exit_normal_bear_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Main sell signals
if not sell:
sell, signal_name = self.exit_normal_bear_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Williams %R based sells
if not sell:
sell, signal_name = self.exit_normal_bear_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Stoplosses
if not sell:
sell, signal_name = self.exit_normal_bear_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Profit Target Signal
# Check if pair exist on target_profit_cache
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_rate = self.target_profit_cache.data[pair]['rate']
previous_profit = self.target_profit_cache.data[pair]['profit']
previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason']
previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached'])
sell_max, signal_name_max = self.normal_bear_exit_profit_target(pair, trade, current_time, current_rate, current_profit,
last_candle, previous_candle_1,
previous_rate, previous_profit, previous_sell_reason,
previous_time_profit_reached, enter_tags)
if sell_max and signal_name_max is not None:
return True, f"{signal_name_max}_m"
if (current_profit > (previous_profit + 0.03)) and (previous_sell_reason not in ["exit_normal_bear_stoploss_doom"]):
# Update the target, raise it.
mark_pair, mark_signal = self.normal_bear_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1)
if mark_pair:
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
# Add the pair to the list, if a sell triggered and conditions met
if sell and signal_name is not None:
previous_profit = None
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_profit = self.target_profit_cache.data[pair]['profit']
if (
(previous_profit is None)
or (previous_profit < current_profit)
):
mark_pair, mark_signal = self.normal_bear_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1)
if mark_pair:
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
else:
# Just sell it, without maximize
return True, f"{signal_name}"
else:
if (
(current_profit >= 0.03)
):
previous_profit = None
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_profit = self.target_profit_cache.data[pair]['profit']
if (previous_profit is None) or (previous_profit < current_profit):
mark_signal = "exit_profit_normal_bear_max"
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
if (signal_name not in ["exit_profit_normal_bear_max", "exit_normal_bear_stoploss_doom"]):
if sell and (signal_name is not None):
return True, f"{signal_name}"
return False, None
def normal_bear_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple:
if sell and (signal_name is not None):
return pair, signal_name
return None, None
def normal_bear_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple:
if (previous_sell_reason in ["exit_normal_bear_stoploss_doom"]):
if (current_profit > 0.04):
# profit is over the threshold, don't exit
self._remove_profit_target(pair)
return False, None
if (current_profit < -0.18):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (current_profit < -0.1):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (current_profit < -0.04):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
else:
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (previous_sell_reason in ["exit_profit_normal_bear_max"]):
if (current_profit < 0.001):
if (current_profit < (previous_profit - 0.08)):
return True, previous_sell_reason
elif (0.001 <= current_profit < 0.01):
if (current_profit < (previous_profit - 0.01)):
return True, previous_sell_reason
elif (0.01 <= current_profit < 0.02):
if (current_profit < (previous_profit - 0.02)):
return True, previous_sell_reason
elif (0.02 <= current_profit < 0.03):
if (current_profit < (previous_profit - 0.03)):
return True, previous_sell_reason
elif (0.03 <= current_profit < 0.05):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (0.05 <= current_profit < 0.08):
if (current_profit < (previous_profit - 0.05)):
return True, previous_sell_reason
elif (0.08 <= current_profit < 0.12):
if (current_profit < (previous_profit - 0.06)):
return True, previous_sell_reason
elif (0.12 <= current_profit):
if (current_profit < (previous_profit - 0.07)):
return True, previous_sell_reason
else:
return False, None
return False, None
def exit_normal_bear_signals(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
# Sell signal 1
if (last_candle['rsi_14'] > 78.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bear_1_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bear_1_2_1'
# Sell signal 2
elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bear_2_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bear_2_2_1'
# Sell signal 3
elif (last_candle['rsi_14'] > 84.0) and (last_candle['rsi_14_4h'] > 75.0):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bear_3_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bear_3_2_1'
# Sell signal 4
elif (last_candle['rsi_14'] > 79.0) and (last_candle['rsi_14_1h'] > 79.0) and (last_candle['rsi_14_4h'] > 75.0):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bear_4_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bear_4_2_1'
# Sell signal 6
elif (last_candle['close'] < last_candle['ema_200']) and (last_candle['close'] > last_candle['ema_50']) and (last_candle['rsi_14'] > 78.5):
if (current_profit > 0.01):
return True, 'exit_normal_bear_6_1'
# Sell signal 7
elif (last_candle['rsi_14_1h'] > 79.0) and (last_candle['crossed_below_ema_12_26']):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bear_7_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bear_7_2_1'
# Sell signal 8
elif (last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.07) and (last_candle['rsi_14_4h'] > 75.0):
if (last_candle['close'] > last_candle['ema_200']):
if (current_profit > 0.01):
return True, 'exit_normal_bear_8_1_1'
else:
if (current_profit > 0.01):
return True, 'exit_normal_bear_8_2_1'
return False, None
def exit_normal_bear_main(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
if (last_candle['close'] > last_candle['sma_200_1h']):
if 0.01 > current_profit >= 0.001:
if (last_candle['rsi_14'] < 22.0):
return True, 'exit_normal_bear_o_0'
elif 0.02 > current_profit >= 0.01:
if (last_candle['rsi_14'] < 30.0):
return True, 'exit_normal_bear_o_1'
elif 0.03 > current_profit >= 0.02:
if (last_candle['rsi_14'] < 32.0):
return True, 'exit_normal_bear_o_2'
elif 0.04 > current_profit >= 0.03:
if (last_candle['rsi_14'] < 34.0):
return True, 'exit_normal_bear_o_3'
elif 0.05 > current_profit >= 0.04:
if (last_candle['rsi_14'] < 36.0):
return True, 'exit_normal_bear_o_4'
elif 0.06 > current_profit >= 0.05:
if (last_candle['rsi_14'] < 38.0):
return True, 'exit_normal_bear_o_5'
elif 0.07 > current_profit >= 0.06:
if (last_candle['rsi_14'] < 40.0):
return True, 'exit_normal_bear_o_6'
elif 0.08 > current_profit >= 0.07:
if (last_candle['rsi_14'] < 42.0):
return True, 'exit_normal_bear_o_7'
elif 0.09 > current_profit >= 0.08:
if (last_candle['rsi_14'] < 44.0):
return True, 'exit_normal_bear_o_8'
elif 0.1 > current_profit >= 0.09:
if (last_candle['rsi_14'] < 46.0):
return True, 'exit_normal_bear_o_9'
elif 0.12 > current_profit >= 0.1:
if (last_candle['rsi_14'] < 48.0):
return True, 'exit_normal_bear_o_10'
elif 0.2 > current_profit >= 0.12:
if (last_candle['rsi_14'] < 46.0):
return True, 'exit_normal_bear_o_11'
elif current_profit >= 0.2:
if (last_candle['rsi_14'] < 44.0):
return True, 'exit_normal_bear_o_12'
elif (last_candle['close'] < last_candle['sma_200_1h']):
if 0.01 > current_profit >= 0.001:
if (last_candle['rsi_14'] < 24.0):
return True, 'exit_normal_bear_u_0'
elif 0.02 > current_profit >= 0.01:
if (last_candle['rsi_14'] < 32.0):
return True, 'exit_normal_bear_u_1'
elif 0.03 > current_profit >= 0.02:
if (last_candle['rsi_14'] < 34.0):
return True, 'exit_normal_bear_u_2'
elif 0.04 > current_profit >= 0.03:
if (last_candle['rsi_14'] < 36.0):
return True, 'exit_normal_bear_u_3'
elif 0.05 > current_profit >= 0.04:
if (last_candle['rsi_14'] < 38.0):
return True, 'exit_normal_bear_u_4'
elif 0.06 > current_profit >= 0.05:
if (last_candle['rsi_14'] < 40.0):
return True, 'exit_normal_bear_u_5'
elif 0.07 > current_profit >= 0.06:
if (last_candle['rsi_14'] < 42.0):
return True, 'exit_normal_bear_u_6'
elif 0.08 > current_profit >= 0.07:
if (last_candle['rsi_14'] < 44.0):
return True, 'exit_normal_bear_u_7'
elif 0.09 > current_profit >= 0.08:
if (last_candle['rsi_14'] < 46.0):
return True, 'exit_normal_bear_u_8'
elif 0.1 > current_profit >= 0.09:
if (last_candle['rsi_14'] < 48.0):
return True, 'exit_normal_bear_u_9'
elif 0.12 > current_profit >= 0.1:
if (last_candle['rsi_14'] < 50.0):
return True, 'exit_normal_bear_u_10'
elif 0.2 > current_profit >= 0.12:
if (last_candle['rsi_14'] < 48.0):
return True, 'exit_normal_bear_u_11'
elif current_profit >= 0.2:
if (last_candle['rsi_14'] < 46.0):
return True, 'exit_normal_bear_u_12'
return False, None
def exit_normal_bear_r(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
if 0.01 > current_profit >= 0.001:
if (last_candle['r_480'] > -0.1):
return True, 'exit_normal_bear_w_0_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_0_2'
elif 0.02 > current_profit >= 0.01:
if (last_candle['r_480'] > -0.2):
return True, 'exit_normal_bear_w_1_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_1_2'
elif 0.03 > current_profit >= 0.02:
if (last_candle['r_480'] > -0.3):
return True, 'exit_normal_bear_w_2_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_2_2'
elif 0.04 > current_profit >= 0.03:
if (last_candle['r_480'] > -0.4):
return True, 'exit_normal_bear_w_3_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_3_2'
elif 0.05 > current_profit >= 0.04:
if (last_candle['r_480'] > -0.5):
return True, 'exit_normal_bear_w_4_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_4_2'
elif 0.06 > current_profit >= 0.05:
if (last_candle['r_480'] > -0.6):
return True, 'exit_normal_bear_w_5_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_5_2'
elif 0.07 > current_profit >= 0.06:
if (last_candle['r_480'] > -0.7):
return True, 'exit_normal_bear_w_6_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_6_2'
elif 0.08 > current_profit >= 0.07:
if (last_candle['r_480'] > -0.8):
return True, 'exit_normal_bear_w_7_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_7_2'
elif 0.09 > current_profit >= 0.08:
if (last_candle['r_480'] > -0.9):
return True, 'exit_normal_bear_w_8_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_8_2'
elif 0.1 > current_profit >= 0.09:
if (last_candle['r_480'] > -1.0):
return True, 'exit_normal_bear_w_9_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_9_2'
elif 0.12 > current_profit >= 0.1:
if (last_candle['r_480'] > -1.1):
return True, 'exit_normal_bear_w_10_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_10_2'
elif 0.2 > current_profit >= 0.12:
if (last_candle['r_480'] > -0.4):
return True, 'exit_normal_bear_w_11_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0):
return True, 'exit_normal_bear_w_11_2'
elif current_profit >= 0.2:
if (last_candle['r_480'] > -0.2):
return True, 'exit_normal_bear_w_12_1'
elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0):
return True, 'exit_normal_bear_w_12_2'
return False, None
def exit_normal_bear_stoploss(self, current_profit: float, max_profit:float, max_loss:float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', buy_tag) -> tuple:
# Stoploss doom
if (
(current_profit < self.stop_thresholds_normal[1])
):
return True, 'exit_normal_bear_stoploss_doom'
return False, None
def exit_pump_bull(self, pair: str, current_rate: float, current_profit: float,
max_profit: float, max_loss: float,
last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5,
trade: 'Trade', current_time: 'datetime', enter_tags) -> tuple:
sell = False
# Original sell signals
sell, signal_name = self.exit_pump_bull_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Main sell signals
if not sell:
sell, signal_name = self.exit_pump_bull_main(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Williams %R based sells
if not sell:
sell, signal_name = self.exit_pump_bull_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Stoplosses
if not sell:
sell, signal_name = self.exit_pump_bull_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags)
# Profit Target Signal
# Check if pair exist on target_profit_cache
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_rate = self.target_profit_cache.data[pair]['rate']
previous_profit = self.target_profit_cache.data[pair]['profit']
previous_sell_reason = self.target_profit_cache.data[pair]['sell_reason']
previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]['time_profit_reached'])
sell_max, signal_name_max = self.pump_bull_exit_profit_target(pair, trade, current_time, current_rate, current_profit,
last_candle, previous_candle_1,
previous_rate, previous_profit, previous_sell_reason,
previous_time_profit_reached, enter_tags)
if sell_max and signal_name_max is not None:
return True, f"{signal_name_max}_m"
if (current_profit > (previous_profit + 0.03)) and (previous_sell_reason not in ["exit_pump_bull_stoploss_doom"]):
# Update the target, raise it.
mark_pair, mark_signal = self.pump_bull_mark_profit_target(pair, True, previous_sell_reason, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1)
if mark_pair:
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
# Add the pair to the list, if a sell triggered and conditions met
if sell and signal_name is not None:
previous_profit = None
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_profit = self.target_profit_cache.data[pair]['profit']
if (
(previous_profit is None)
or (previous_profit < current_profit)
):
mark_pair, mark_signal = self.pump_bull_mark_profit_target(pair, sell, signal_name, trade, current_time, current_rate, current_profit, last_candle, previous_candle_1)
if mark_pair:
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
else:
# Just sell it, without maximize
return True, f"{signal_name}"
else:
if (
(current_profit >= 0.03)
):
previous_profit = None
if self.target_profit_cache is not None and pair in self.target_profit_cache.data:
previous_profit = self.target_profit_cache.data[pair]['profit']
if (previous_profit is None) or (previous_profit < current_profit):
mark_signal = "exit_profit_pump_bull_max"
self._set_profit_target(pair, mark_signal, current_rate, current_profit, current_time)
if (signal_name not in ["exit_profit_pump_bull_max", "exit_pump_bull_stoploss_doom"]):
if sell and (signal_name is not None):
return True, f"{signal_name}"
return False, None
def pump_bull_mark_profit_target(self, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1) -> tuple:
if sell and (signal_name is not None):
return pair, signal_name
return None, None
def pump_bull_exit_profit_target(self, pair: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags) -> tuple:
if (previous_sell_reason in ["exit_pump_bull_stoploss_doom"]):
if (current_profit > 0.04):
# profit is over the threshold, don't exit
self._remove_profit_target(pair)
return False, None
if (current_profit < -0.18):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (current_profit < -0.1):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (current_profit < -0.04):
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
else:
if (current_profit < (previous_profit - 0.04)):
return True, previous_sell_reason
elif (previous_sell_reason in ["exit_profit_pump_bull_max"]):
if (current_profit < 0.001):
if (current_profit < (previous_profit - 0.08)):