Fixed Investment Strategy

There is a saying in the stock market: Novices die from chasing highs, and veterans die from buying lows. What matters is timing. If you are not careful, you will get stuck. Therefore, many strategies will make some…

Author

巴啦啦小魔仙

Complexity

Starter · 52 lines

Parameters

Strategy Description

As for the regular investment strategy, that is, the strategy of investing a fixed amount at regular intervals, its fundamental core is - buy low and sell high, buy more when prices drop, rather than chasing highs and selling at lows. Therefore, for the regular investment strategy, it can be considered that you can buy at any time.

Developing an effective fixed investment strategy can greatly increase the income of fixed investment. Before making a fixed investment, we should put our plan on paper, implement it according to the plan, reduce human intervention, stick to it, stop profits and stop losses, only then can we truly appreciate the value of fixed investment.

Here, to control risk, we limit the operation range and formulate the following strategy rules:

Invest 1 short position per minute, 20x leverage. For open positions, if the loss exceeds 3%, continue Dollar-Cost Averaging. If the profit exceeds 3%, close 2 lots per minute. In the test script, the regular investment period, investment quantity, leverage ratio, profit and loss ratio, and position direction are configurable options.

Contact Information

If you are interested in this strategy, please+V:Irene11229 (Click on my homepage to continuously update more strategies, and also access market analysis data from several leading exchanges)

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import json import time from kumex.client import Trade class Aip(object): def __init__(self): # read configuration from json file with open('config.json', 'r') as file: config = json.load(file) self.api_key = config['api_key'] self.api_secret = config['api_secret'] self.api_passphrase = config['api_passphrase'] self.sandbox = config['is_sandbox'] self.symbol = config['symbol'] self.timer = int(config['timer']) self.size = int(config['size']) self.side = config['side'] self.leverage = config['leverage'] self.rate = float(config['rate']) self.trade = Trade(self.api_key, self.api_secret, self.api_passphrase, is_sandbox=self.sandbox) if self.side == 'sell': self.close = 'buy' else: self.close = 'sell' def get_position_pcnt(self): position = self.trade.get_position_details(self.symbol) return float(position['unrealisedPnlPcnt']) if __name__ == '__main__': aip = Aip() market_order = aip.trade.create_market_order(aip.symbol, aip.side, aip.leverage, type='market', size=aip.size) print('create a market %s order, order id = %s' % (aip.side, market_order['orderId'])) while 1: time.sleep(aip.timer * 60) pcnt = aip.get_position_pcnt() if pcnt < 0 and abs(pcnt) > aip.rate: market_order = aip.trade.create_market_order(aip.symbol, aip.side, aip.leverage, type='market', size=aip.size) print('create a market %s order, order id = %s' % (aip.side, market_order['orderId'])) elif pcnt > 0 and pcnt > aip.rate: market_order = aip.trade.create_market_order(aip.symbol, aip.close, aip.leverage, type='market', size=(aip.size*2)) print('create a market %s order, order id = %s' % (aip.close, market_order['orderId']))

Fixed Investment Strategy

Strategy Description

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