183 lines
7.0 KiB
Markdown
183 lines
7.0 KiB
Markdown
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> Name
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下跌趋势短线交易策略Short-Trading-Strategy-in-Downtrend
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> Author
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ChaoZhang
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> Strategy Description
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[trans]
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### 概述
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本策略利用移动平均线和相对强弱指标判断市场趋势方向,在下跌趋势中逐步建立短仓头寸,实现盈利。
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### 策略原理
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当收盘价低于100日简单移动平均线且RSI大于30时,做空入场。之后设置止损线和止盈线,止损线为入场价的3%以上,止盈线为入场价的2%以下。这样可以获得较大的止损空间来容忍行情波动。当价格大于止损线或小于止盈线时平仓。
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在Coinrule平台上,可以设置多次顺序卖出订单来逐步建立头寸。当行情持续下跌时,逐步加大仓位。设置一定的下单时间间隔也有助于控制总仓位。
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该策略为每个交易连接止损单和止盈单。止损比例和止盈比例针对中盘币进行了优化。你可以根据具体币种进行调整。由于策略符合趋势交易方向,止损和止盈比例可设为1:1.5。
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止损价为入场价的3%
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止盈价为入场价的2%
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略大于止损比例可以容忍更大波动,避免不必要的止损。
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### 优势分析
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- 利用移动平均线判断市场趋势方向,可以及时捕捉到下跌行情
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- 相对强弱指标过滤可以避免盲目做空
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- 逐步加仓可以最大限度控制风险,获得较好的风险收益比
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- 设置止损止盈确保每个交易有承受能力
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### 风险分析
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- 行情出现V型反转时,可能导致较大亏损
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- 需要密切关注行情,及时调整止损止盈价格
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- 需要合理控制仓位规模,不宜过度用杠杆
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- 大盘震荡行情中可暂停该策略,避免无谓损失
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### 优化方向
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- 可以测试不同参数的移动平均线指标
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- 可以测试不同参数的RSI指标组合
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- 可以调整止损止盈比例,优化风险收益比
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- 可以测试不同下单时间间隔,控制仓位规模
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### 总结
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本策略基于移动平均线判断趋势方向,RSI指标过滤确定具体入场时机,能够有效捕捉下跌行情。逐步加仓方式能控制风险,设置止损止盈确保单笔交易承受能力。优化止损止盈比例可以获得更好的风险收益比。在参数调整和风险控制方面还有优化空间,但总体来说是一个稳定可靠的短线做空策略。
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## Overview
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This strategy takes advantage of downtrend by building short positions gradually based on moving average and RSI indicators. It aims for profit in falling market.
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## Strategy Logic
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When close price is below 100-day simple moving average and RSI is greater than 30, go short. Then set stop loss above entry price by 3% and take profit below entry price by 2%. The wider stop loss allows more volatility to avoid unnecessary stops. Close position when price surpasses stop loss or falls below take profit.
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On Coinrule platform, set multiple sequential sell orders to build position gradually. When downtrend persists, increase position size. Setting a time interval between orders also helps controlling overall position size.
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Each trade is connected with a stop loss order and take profit order. The percentages are optimized for mid-cap coins. You can adjust based on specific coin. As it trades along with trend, stop loss and take profit ratio like 1:1.5 could work.
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Stop loss at 3% above entry price
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Take profit at 2% below entry price
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A slightly larger stop loss tolerates more volatility.
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## Advantage Analysis
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- MA judges trend direction well, catching downtrend in time
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- RSI filter avoids blindly going short
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- Gradual position build controls risk maximally with better risk-reward ratio
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- Stop loss and take profit ensure endurance for each trade
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## Risk Analysis
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- Sharp V reversal could lead to major loss
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- Need to monitor price closely to adjust stop loss and take profit
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- Leverage needs to be reasonable to control position size
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- Pausing strategy in choppy market avoids unnecessary loss
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## Optimization Directions
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- Test MA with different parameters
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- Test RSI combinations with different parameters
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- Adjust stop loss and take profit ratios to optimize risk-reward
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- Test different time intervals between orders to control position size
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## Summary
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This strategy effectively captures downtrend based on MA and RSI. Gradual position build controls risk while stop loss and take profit ensure endurance. Further optimizing risk-reward ratio by adjusting stop loss/take profit parameters. There is room for improvements on parameters and risk control. But overall a solid short-term short strategy.
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[/trans]
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> Strategy Arguments
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|Argument|Default|Description|
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|----|----|----|
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|v_input_1|true|From Month|
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|v_input_2|10|From Day|
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|v_input_3|2019|From Year|
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|v_input_4|true|Thru Month|
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|v_input_5|true|Thru Day|
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|v_input_6|2112|Thru Year|
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|v_input_7|true|Show Date Range|
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|v_input_8|50|MASignal|
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|v_input_9|14|RSI period|
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> Source (PineScript)
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``` pinescript
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/*backtest
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start: 2022-10-31 00:00:00
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end: 2023-11-06 00:00:00
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period: 1d
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basePeriod: 1h
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exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
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*/
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// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
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// © Coinrule
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//@version=4
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strategy(shorttitle='Short In Downtrend',title='Short In Downtrend Below MA100', overlay=true, initial_capital = 1000, process_orders_on_close=true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100)
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//Backtest dates
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fromMonth = input(defval = 1, title = "From Month", type = input.integer, minval = 1, maxval = 12)
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fromDay = input(defval = 10, title = "From Day", type = input.integer, minval = 1, maxval = 31)
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fromYear = input(defval = 2019, title = "From Year", type = input.integer, minval = 1970)
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thruMonth = input(defval = 1, title = "Thru Month", type = input.integer, minval = 1, maxval = 12)
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thruDay = input(defval = 1, title = "Thru Day", type = input.integer, minval = 1, maxval = 31)
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thruYear = input(defval = 2112, title = "Thru Year", type = input.integer, minval = 1970)
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showDate = input(defval = true, title = "Show Date Range", type = input.bool)
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start = timestamp(fromYear, fromMonth, fromDay, 00, 00) // backtest start window
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finish = timestamp(thruYear, thruMonth, thruDay, 23, 59) // backtest finish window
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window() => true // create function "within window of time"
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//MA inputs and calculations
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inSignal=input(50, title='MASignal')
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MA= sma(close, inSignal)
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// RSI inputs and calculations
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lengthRSI = input(14, title = 'RSI period', minval=1)
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RSI = rsi(close, lengthRSI)
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//Entry
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strategy.entry(id="short", long = false, when = close < MA and RSI > 30)
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//Exit
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shortStopPrice = strategy.position_avg_price * (1 + 0.03)
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shortTakeProfit = strategy.position_avg_price * (1 - 0.02)
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strategy.close("short", when = close > shortStopPrice or close < shortTakeProfit and window())
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plot(MA, color=color.purple, linewidth=2)
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```
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> Detail
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https://www.fmz.com/strategy/431428
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> Last Modified
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2023-11-07 17:06:59
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