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NostalgiaForInfinityNextGen.py
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NostalgiaForInfinityNextGen.py
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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
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import merge_informative_pair, timeframe_to_minutes
from freqtrade.exchange import timeframe_to_prev_date
from pandas import DataFrame, Series, concat
from functools import reduce
import math
from typing import Dict
from freqtrade.persistence import Trade
from datetime import datetime, timedelta
from technical.util import resample_to_interval, resampled_merge
from technical.indicators import zema, VIDYA, ichimoku
import time
log = logging.getLogger(__name__)
#log.setLevel(logging.DEBUG)
try:
import pandas_ta as pta
except ImportError:
log.error(
"IMPORTANT - please install the pandas_ta python module which is needed for this strategy. "
"If you're running Docker, add RUN pip install pandas_ta to your Dockerfile, otherwise run: "
"pip install pandas_ta"
)
else:
log.info("pandas_ta successfully imported")
###########################################################################################################
## NostalgiaForInfinityV9 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 15m). ##
## use_sell_signal must set to true (or not set at all). ##
## sell_profit_only must set to false (or not set at all). ##
## ignore_roi_if_buy_signal must set to true (or not set at all). ##
## ##
###########################################################################################################
## HOLD SUPPORT ##
## ##
## -------- SPECIFIC TRADES ---------------------------------------------------------------------------- ##
## In case you want to have SOME of the trades to only be sold when on profit, add a file named ##
## "nfi-hold-trades.json" in the user_data directory ##
## ##
## The contents should be similar to: ##
## ##
## {"trade_ids": [1, 3, 7], "profit_ratio": 0.005} ##
## ##
## Or, for individual profit ratios(Notice the trade ID's as strings: ##
## ##
## {"trade_ids": {"1": 0.001, "3": -0.005, "7": 0.05}} ##
## ##
## NOTE: ##
## * `trade_ids` is a list of integers, the trade ID's, which you can get from the logs or from the ##
## output of the telegram status command. ##
## * Regardless of the defined profit ratio(s), the strategy MUST still produce a SELL signal for the ##
## HOLD support logic to run ##
## * This feature can be completely disabled with the holdSupportEnabled class attribute ##
## ##
## -------- SPECIFIC PAIRS ----------------------------------------------------------------------------- ##
## In case you want to have some pairs to always be on held until a specific profit, using the same ##
## "hold-trades.json" file add something like: ##
## ##
## {"trade_pairs": {"BTC/USDT": 0.001, "ETH/USDT": -0.005}} ##
## ##
## -------- SPECIFIC TRADES AND PAIRS ------------------------------------------------------------------ ##
## It is also valid to include specific trades and pairs on the holds file, for example: ##
## ##
## {"trade_ids": {"1": 0.001}, "trade_pairs": {"BTC/USDT": 0.001}} ##
###########################################################################################################
## 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=EAZC47FM (5% discount on trading fees) ##
## Kucoin: https://www.kucoin.com/r/QBSSSPYV (5% discount on trading fees) ##
## Gate.io: https://www.gate.io/signup/8054544 (10% discount on trading fees) ##
## OKEx: https://www.okex.com/join/11749725760 (5% discount on trading fees) ##
## Huobi: https://www.huobi.com/en-us/topic/double-reward/?invite_code=ubpt2223 ##
###########################################################################################################
class NostalgiaForInfinityNextGen(IStrategy):
INTERFACE_VERSION = 2
# ROI table:
minimal_roi = {
"0": 100.0,
}
stoploss = -0.50
# 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 = '15m'
res_timeframe = 'none'
info_timeframe_1h = '1h'
info_timeframe_1d = '1d'
# BTC informative
has_BTC_base_tf = False
has_BTC_info_tf = True
has_BTC_daily_tf = False
# 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)
holdSupportEnabled = True
# Coin Metrics
coin_metrics = {}
coin_metrics['top_traded_enabled'] = False
coin_metrics['top_traded_updated'] = False
coin_metrics['top_traded_len'] = 10
coin_metrics['tt_dataframe'] = DataFrame()
coin_metrics['top_grossing_enabled'] = False
coin_metrics['top_grossing_updated'] = False
coin_metrics['top_grossing_len'] = 20
coin_metrics['tg_dataframe'] = DataFrame()
coin_metrics['current_whitelist'] = []
# 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_sell_signal = True
sell_profit_only = False
ignore_roi_if_buy_signal = True
# Number of candles the strategy requires before producing valid signals
startup_candle_count: int = 480
# Optional order type mapping.
order_types = {
'buy': 'limit',
'sell': 'limit',
'trailing_stop_loss': 'limit',
'stoploss': 'limit',
'stoploss_on_exchange': False,
'stoploss_on_exchange_interval': 60,
'stoploss_on_exchange_limit_ratio': 0.99
}
#############################################################
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_7_enable": True,
"buy_condition_8_enable": True,
"buy_condition_9_enable": True,
"buy_condition_10_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_17_enable": True,
"buy_condition_18_enable": True,
"buy_condition_19_enable": True,
"buy_condition_20_enable": True,
"buy_condition_21_enable": True,
#############
}
sell_params = {
#############
# Enable/Disable conditions
"sell_condition_1_enable": True,
#############
}
#############################################################
buy_protection_params = {
1: {
"ema_fast" : False,
"ema_fast_len" : "26",
"ema_slow" : False,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "28",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : None,
"safe_dips_threshold_2" : None,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.36,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
2: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "50",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.06,
"safe_dips_threshold_2" : None,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.4,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : 1.45,
"btc_1h_not_downtrend" : True,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
3: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "50",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.05,
"safe_dips_threshold_2" : 0.12,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : 0.3,
"safe_pump_6h_threshold" : 0.45,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
4: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "50",
"sma200_1h_rising" : True,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.045,
"safe_dips_threshold_2" : 0.12,
"safe_dips_threshold_12" : 0.34,
"safe_dips_threshold_144" : 0.48,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : 0.42,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 0.97,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
5: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "50",
"sma200_1h_rising" : True,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.03,
"safe_dips_threshold_2" : 0.14,
"safe_dips_threshold_12" : 0.28,
"safe_dips_threshold_144" : 0.44,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : 1.5,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.3
},
6: {
"ema_fast" : False,
"ema_fast_len" : "12",
"ema_slow" : True,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "50",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.08,
"safe_dips_threshold_2" : 0.16,
"safe_dips_threshold_12" : 0.4,
"safe_dips_threshold_144" : 0.8,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : 1.3,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.15
},
7: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "50",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.05,
"safe_dips_threshold_2" : 0.1,
"safe_dips_threshold_12" : 0.2,
"safe_dips_threshold_144" : 0.6,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : True,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.1
},
8: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : True,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.04,
"safe_dips_threshold_2" : 0.18,
"safe_dips_threshold_12" : 0.48,
"safe_dips_threshold_144" : 0.9,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : 0.9,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.15
},
9: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.04,
"safe_dips_threshold_2" : 0.1,
"safe_dips_threshold_12" : 0.26,
"safe_dips_threshold_144" : 0.38,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : 0.9,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
10: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.03,
"safe_dips_threshold_2" : 0.07,
"safe_dips_threshold_12" : 0.26,
"safe_dips_threshold_144" : 0.38,
"safe_pump_6h_threshold" : 0.45,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
11: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.04,
"safe_dips_threshold_2" : 0.08,
"safe_dips_threshold_12" : 0.26,
"safe_dips_threshold_144" : 0.38,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : 0.9,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
12: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.04,
"safe_dips_threshold_2" : 0.09,
"safe_dips_threshold_12" : 0.32,
"safe_dips_threshold_144" : 0.44,
"safe_pump_6h_threshold" : 0.22,
"safe_pump_12h_threshold" : 0.45,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
13: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.04,
"safe_dips_threshold_2" : 0.09,
"safe_dips_threshold_12" : 0.32,
"safe_dips_threshold_144" : 0.44,
"safe_pump_6h_threshold" : 0.3,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : 0.74,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : True,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
14: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.06,
"safe_dips_threshold_2" : 0.09,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.42,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : 0.9,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
15: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "50",
"safe_dips_threshold_0" : 0.06,
"safe_dips_threshold_2" : 0.1,
"safe_dips_threshold_12" : 0.28,
"safe_dips_threshold_144" : 0.48,
"safe_pump_6h_threshold" : 0.5,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : 0.9,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
16: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.08,
"safe_dips_threshold_2" : 0.12,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.45,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : 1.8,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : True,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.1
},
17: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.08,
"safe_dips_threshold_2" : 0.12,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.45,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : True,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
18: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : True,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.08,
"safe_dips_threshold_2" : 0.12,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.45,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : 0.75,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
19: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.08,
"safe_dips_threshold_2" : 0.12,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.45,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : 0.75,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : True,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
20: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "50",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "50",
"sma200_1h_rising" : False,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : None,
"safe_dips_threshold_2" : None,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : None,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.0
},
21: {
"ema_fast" : False,
"ema_fast_len" : "50",
"ema_slow" : False,
"ema_slow_len" : "12",
"close_above_ema_fast" : False,
"close_above_ema_fast_len" : "200",
"close_above_ema_slow" : False,
"close_above_ema_slow_len" : "200",
"sma200_rising" : False,
"sma200_rising_val" : "24",
"sma200_1h_rising" : True,
"sma200_1h_rising_val" : "24",
"safe_dips_threshold_0" : 0.05,
"safe_dips_threshold_2" : 0.12,
"safe_dips_threshold_12" : None,
"safe_dips_threshold_144" : None,
"safe_pump_6h_threshold" : 0.45,
"safe_pump_12h_threshold" : None,
"safe_pump_24h_threshold" : None,
"safe_pump_36h_threshold" : None,
"safe_pump_48h_threshold" : None,
"btc_1h_not_downtrend" : False,
"close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset" : 1.0,
"close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset" : 1.1
}
}
# 5 hours - level 10
buy_dump_protection_10_5 = 0.4
# 5 hours - level 20
buy_dump_protection_20_5 = 0.44
# 5 hours - level 30
buy_dump_protection_30_5 = 0.50
# 5 hours - level 40
buy_dump_protection_40_5 = 0.58
# 5 hours - level 50
buy_dump_protection_50_5 = 0.66
# 5 hours - level 60
buy_dump_protection_60_5 = 0.74
# Sell
sell_condition_1_enable = True
# 48h for pump sell checks
sell_pump_threshold_48_1 = 0.9
sell_pump_threshold_48_2 = 0.7
sell_pump_threshold_48_3 = 0.5
# 36h for pump sell checks
sell_pump_threshold_36_1 = 0.72
sell_pump_threshold_36_2 = 4.0
sell_pump_threshold_36_3 = 1.0
# 24h for pump sell checks
sell_pump_threshold_24_1 = 0.68
sell_pump_threshold_24_2 = 0.62
sell_pump_threshold_24_3 = 0.88
sell_rsi_bb_1 = 74.0
sell_rsi_bb_2 = 75.0
sell_rsi_main_3 = 78.0
sell_dual_rsi_rsi_4 = 68.4
sell_dual_rsi_rsi_1h_4 = 74.6
sell_ema_relative_5 = 0.024
sell_rsi_diff_5 = 4.4
sell_rsi_under_6 = 74.0
sell_rsi_1h_7 = 76.7
sell_bb_relative_8 = 1.1
#############################################################
#############################################################
# CACHES
hold_trades_cache = None
target_profit_cache = None
#############################################################
def __init__(self, config: dict) -> None:
super().__init__(config)
if self.target_profit_cache is None:
self.target_profit_cache = Cache(
self.config["user_data_dir"] / "data-nfi-profit_target_by_pair.json"
)
# If the cached data hasn't changed, it's a no-op
self.target_profit_cache.save()
def get_hold_trades_config_file(self):
proper_holds_file_path = self.config["user_data_dir"].resolve() / "nfi-hold-trades.json"
if proper_holds_file_path.is_file():
return proper_holds_file_path
strat_file_path = pathlib.Path(__file__)
hold_trades_config_file_resolve = strat_file_path.resolve().parent / "hold-trades.json"
if hold_trades_config_file_resolve.is_file():
log.warning(
"Please move %s to %s which is now the expected path for the holds file",
hold_trades_config_file_resolve,
proper_holds_file_path,
)
return hold_trades_config_file_resolve
# The resolved path does not exist, is it a symlink?
hold_trades_config_file_absolute = strat_file_path.absolute().parent / "hold-trades.json"
if hold_trades_config_file_absolute.is_file():
log.warning(
"Please move %s to %s which is now the expected path for the holds file",
hold_trades_config_file_absolute,
proper_holds_file_path,
)
return hold_trades_config_file_absolute
def load_hold_trades_config(self):
if self.hold_trades_cache is None:
hold_trades_config_file = self.get_hold_trades_config_file()
if hold_trades_config_file:
log.warning("Loading hold support data from %s", hold_trades_config_file)
self.hold_trades_cache = HoldsCache(hold_trades_config_file)
if self.hold_trades_cache:
self.hold_trades_cache.load()
def whitelist_tracker(self):
if sorted(self.coin_metrics['current_whitelist']) != sorted(self.dp.current_whitelist()):
log.info("Whitelist has changed...")
self.coin_metrics['top_traded_updated'] = False
self.coin_metrics['top_grossing_updated'] = False
# Update pairlist
self.coin_metrics['current_whitelist'] = self.dp.current_whitelist()
# Move up BTC for largest data footprint
self.coin_metrics['current_whitelist'].insert(0, self.coin_metrics['current_whitelist'].pop(self.coin_metrics['current_whitelist'].index(f"BTC/{self.config['stake_currency']}")))
def top_traded_list(self):
log.info("Updating top traded pairlist...")
tik = time.perf_counter()
self.coin_metrics['tt_dataframe'] = DataFrame()
# Build traded volume dataframe
for coin_pair in self.coin_metrics['current_whitelist']:
coin = coin_pair.split('/')[0]
# Get the volume for the daily informative timeframe and name the column for the coin
pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d)
pair_dataframe.set_index('date')
if self.config['runmode'].value in ('live', 'dry_run'):
pair_dataframe = pair_dataframe.iloc[-7:,:]
# Set the date index of the self.coin_metrics['tt_dataframe'] once
if not 'date' in self.coin_metrics['tt_dataframe']:
self.coin_metrics['tt_dataframe']['date'] = pair_dataframe['date']
self.coin_metrics['tt_dataframe'].set_index('date')
# Calculate daily traded volume
pair_dataframe[coin] = pair_dataframe['volume'] * qtpylib.typical_price(pair_dataframe)
# Drop the columns we don't need
pair_dataframe.drop(columns=['open', 'high', 'low', 'close', 'volume'], inplace=True)
# Merge it in on the date key
self.coin_metrics['tt_dataframe'] = self.coin_metrics['tt_dataframe'].merge(pair_dataframe, on='date', how='left')
# Forward fill empty cells (due to different df shapes)
self.coin_metrics['tt_dataframe'].fillna(0, inplace=True)
# Store and drop date column for value sorting
pair_dates = self.coin_metrics['tt_dataframe']['date']
self.coin_metrics['tt_dataframe'].drop(columns=['date'], inplace=True)
# Build columns and top traded coins
column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics['top_traded_len'] + 1)]
self.coin_metrics['tt_dataframe'][column_names] = self.coin_metrics['tt_dataframe'].apply(lambda x: x.nlargest(self.coin_metrics['top_traded_len']).index.values, axis=1, result_type='expand')
self.coin_metrics['tt_dataframe'].drop(columns=[col for col in self.coin_metrics['tt_dataframe'] if col not in column_names], inplace=True)
# Re-add stored date column
self.coin_metrics['tt_dataframe'].insert(loc = 0, column = 'date', value = pair_dates)
self.coin_metrics['tt_dataframe'].set_index('date')
self.coin_metrics['top_traded_updated'] = True
log.info("Updated top traded pairlist (tail-5):")
log.info(f"\n{self.coin_metrics['tt_dataframe'].tail(5)}")
tok = time.perf_counter()
log.info(f"Updating top traded pairlist took {tok - tik:0.4f} seconds...")
def top_grossing_list(self):
log.info("Updating top grossing pairlist...")
tik = time.perf_counter()
self.coin_metrics['tg_dataframe'] = DataFrame()
# Build grossing volume dataframe
for coin_pair in self.coin_metrics['current_whitelist']:
coin = coin_pair.split('/')[0]
# Get the volume for the daily informative timeframe and name the column for the coin
pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d)
pair_dataframe.set_index('date')
if self.config['runmode'].value in ('live', 'dry_run'):
pair_dataframe = pair_dataframe.iloc[-7:,:]
# Set the date index of the self.coin_metrics['tg_dataframe'] once
if not 'date' in self.coin_metrics['tg_dataframe']:
self.coin_metrics['tg_dataframe']['date'] = pair_dataframe['date']
self.coin_metrics['tg_dataframe'].set_index('date')