该策略基于移动均线和动态包络线,实现了多空双向交易。它会跟踪价格突破上下包络线来建立头寸,当价格重新跌破基准均线时平仓。该策略适用于趋势较明显的股票和数字货币。
首先,该策略基于用户选择的均线类型和长度计算出基准均线。常见的均线包括SMA、EMA等。
然后,根据用户设定的百分比参数,计算出上下包络线。例如5%代表价格波动ALLOWED_BRACKET105%时触发建立头寸。包络线数量可以自定义。
在入市规则上,如果突破下包络线,做多;如果突破上包络线,做空。规则非常简单清晰。
最后,当价格重新跌破基准均线时,平掉所有头寸。这是跟踪趋势的一个退出点。
需要注意的是,该策略实现了分仓建仓。如果有多个包络线,那么会按比例分配资金。这避免单边博弈的风险。
该策略最大的优势有以下几点:
实现了自动跟踪趋势的功能。使用均线判断趋势方向非常常见,所以这是一个行之有效的方法。
利用包络线过滤掉部分噪音,这避免了过于敏感而引发无谓交易的问题。合理的参数设置可以大幅优化策略盈利能力。
分仓建仓增加了策略韧性。即使单边突破失败,其他方向可能继续运行良好。这优化了整体风险收益比。
允许自定义均线和包络线数量。这增加了策略灵活性,用户可以针对不同品种进行参数调优。
该策略的主要风险在于:
均线系统对黄金交叉类信号不敏感。如果没有明确趋势,该策略可能错过部分机会。
包络线设置得过宽可能增大了交易次数和滑点风险。 Line设计得过窄又可能错过较大行情。找到平衡点需要充分测试。
在震荡行情中,该策略可能出现较多被套的概率。所以品种的选择以趋势明显的品种为佳。
分仓建仓会使每单盈利受限。如果只想博取单边风险,还需要额外优化。
该策略主要可以从以下几个方向进行优化:
更换其他指标来决定建仓和平仓。例如KDJ指标等。或者结合多个指标设置过滤条件。
增加止盈止损逻辑。这可以锁定部分利润,并主动规避部分风险。
优化参数寻找最佳均线和包络线组合。这需要充分回测和优化查找最佳参数对。
结合深度学习等技术实现智能参数优化。随着时间不断学习和更新参数设置。
考虑品种和市场差异性,设定多组参数适应不同交易环境。这将大幅提高策略稳定性。
该动态包络均线策略总体来说非常适合趋势交易。它简单高效,易于理解和优化。作为一个基础策略,它的可塑性和扩展性都非常强。通过和其他更复杂的系统融合,可以进一步优化整体收益和风险调整指标。所以可以作为量化交易的一个非常好的基石。
/*backtest start: 2024-01-05 00:00:00 end: 2024-02-04 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("Envelope Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, initial_capital=1000, pyramiding = 5, commission_type=strategy.commission.percent, commission_value=0.0) // CopyRight Crypto Robot src = input(ohlc4, title="Source", group = "Base MA") ma_base_window = input.int(5, "Base Mooving Average Window", step = 1, group = "Base MA") ma_type = input.string(defval='1. SMA', options=['1. SMA', '2. PCMA', '3. EMA', '4. WMA', '5. DEMA', '6. ZLEMA', '7. HMA'], title='MA Type', group = "Base MA") envelope_1_pct = input.float(0.05, "Envelope 1", step = 0.01, group = "Envelopes") envelope_2_pct = input.float(0.10, "Envelope 2", step = 0.01, group = "Envelopes") envelope_3_pct = input.float(0.15, "Envelope 3", step = 0.01, group = "Envelopes") envelope_4_pct = input.float(0.0, "Envelope 4", step = 0.01, group = "Envelopes") envelope_5_pct = input.float(0.0, "Envelope 5", step = 0.01, group = "Envelopes") use_longs = input.bool(true, 'Long Positions') use_short = input.bool(true, 'Short Positions') total_envelope = 0 if envelope_1_pct > 0 total_envelope := total_envelope + 1 if envelope_2_pct > 0 total_envelope := total_envelope + 1 if envelope_3_pct > 0 total_envelope := total_envelope + 1 if envelope_4_pct > 0 total_envelope := total_envelope + 1 if envelope_5_pct > 0 total_envelope := total_envelope + 1 // --------------------------------------------- // -------------- INDICATORS ------------------- ma_function(MA_type, MA_length) => zlema_lag = (MA_length - 1) / 2 hma_src = MA_type == '7. HMA' ? 2 * ta.wma(src, math.floor(MA_length / 2)) - ta.wma(src, MA_length) : na MA_type == '1. SMA' ? ta.sma(src, MA_length) : MA_type == '2. PCMA' ? (ta.highest(high, MA_length) + ta.lowest(low, MA_length)) / 2 : MA_type == '3. EMA' ? ta.ema(src, MA_length) : MA_type == '4. WMA' ? ta.wma(src, MA_length) : MA_type == '5. DEMA' ? 2 * ta.ema(src, MA_length) - ta.ema(ta.ema(src, MA_length), MA_length) : MA_type == '6. ZLEMA' ? ta.ema(src + src - src[zlema_lag], MA_length) : MA_type == '7. HMA' ? ta.wma(hma_src, math.floor(math.sqrt(MA_length))) : na ma_base = ma_function(ma_type, ma_base_window) ma_high_1 = envelope_1_pct > 0 ? ma_base * (1 + envelope_1_pct) : na ma_high_2 = envelope_2_pct > 0 ? ma_base * (1 + envelope_2_pct) : na ma_high_3 = envelope_3_pct > 0 ? ma_base * (1 + envelope_3_pct) : na ma_high_4 = envelope_4_pct > 0 ? ma_base * (1 + envelope_4_pct) : na ma_high_5 = envelope_5_pct > 0 ? ma_base * (1 + envelope_5_pct) : na ma_low_1 = envelope_1_pct > 0 ? ma_base * (1 - envelope_1_pct) : na ma_low_2 = envelope_2_pct > 0 ? ma_base * (1 - envelope_2_pct) : na ma_low_3 = envelope_3_pct > 0 ? ma_base * (1 - envelope_3_pct) : na ma_low_4 = envelope_4_pct > 0 ? ma_base * (1 - envelope_4_pct) : na ma_low_5 = envelope_5_pct > 0 ? ma_base * (1 - envelope_5_pct) : na // --------------------------------------------- // --------------- STRATEGY -------------------- if use_longs if envelope_1_pct > 0 and strategy.opentrades < 1 strategy.entry('long 1', strategy.long, limit=ma_low_1, qty=(strategy.equity / ma_low_1) * (1 / total_envelope)) if envelope_2_pct > 0 and strategy.opentrades < 2 strategy.entry('long 2', strategy.long, limit=ma_low_2, qty=(strategy.equity / ma_low_2) * (1 / total_envelope)) if envelope_3_pct > 0 and strategy.opentrades < 3 strategy.entry('long 3', strategy.long, limit=ma_low_3, qty=(strategy.equity / ma_low_3) * (1 / total_envelope)) if envelope_4_pct > 0 and strategy.opentrades < 4 strategy.entry('long 4', strategy.long, limit=ma_low_4, qty=(strategy.equity / ma_low_4) * (1 / total_envelope)) if envelope_5_pct > 0 and strategy.opentrades < 5 strategy.entry('long 5', strategy.long, limit=ma_low_5, qty=(strategy.equity / ma_low_5) * (1 / total_envelope)) if use_short if envelope_1_pct > 0 and strategy.opentrades < 1 strategy.entry('short 1', strategy.short, limit=ma_high_1, qty=(strategy.equity / ma_high_1) * (1 / total_envelope)) if envelope_2_pct > 0 and strategy.opentrades < 2 strategy.entry('short 2', strategy.short, limit=ma_high_2, qty=(strategy.equity / ma_high_2) * (1 / total_envelope)) if envelope_3_pct > 0 and strategy.opentrades < 3 strategy.entry('short 3', strategy.short, limit=ma_high_3, qty=(strategy.equity / ma_high_3) * (1 / total_envelope)) if envelope_4_pct > 0 and strategy.opentrades < 4 strategy.entry('short 4', strategy.short, limit=ma_high_4, qty=(strategy.equity / ma_high_4) * (1 / total_envelope)) if envelope_5_pct > 0 and strategy.opentrades < 5 strategy.entry('short 5', strategy.short, limit=ma_high_5, qty=(strategy.equity / ma_high_5) * (1 / total_envelope)) strategy.exit('close', limit=ma_base) // --------------------------------------------- // ------------------ PLOT --------------------- ma_base_plot = plot(ma_base, title = "Base MA", color = color.orange, linewidth = 3, offset = 1) ma_high_1_plot = plot(ma_high_1, title = "MA high 1", color = color.red, offset = 1) ma_high_2_plot = plot(ma_high_2, title = "MA high 2", color = color.red, offset = 1) ma_high_3_plot = plot(ma_high_3, title = "MA high 3", color = color.red, offset = 1) ma_high_4_plot = plot(ma_high_4, title = "MA high 4", color = color.red, offset = 1) ma_high_5_plot = plot(ma_high_5, title = "MA high 5", color = color.red, offset = 1) ma_low_1_plot = plot(ma_low_1, title = "MA low 1", color = color.green, offset = 1) ma_low_2_plot = plot(ma_low_2, title = "MA low 2", color = color.green, offset = 1) ma_low_3_plot = plot(ma_low_3, title = "MA low 3", color = color.green, offset = 1) ma_low_4_plot = plot(ma_low_4, title = "MA low 4", color = color.green, offset = 1) ma_low_5_plot = plot(ma_low_5, title = "MA low 5", color = color.green, offset = 1) plot(ohlc4, color=color.purple) // use_period = input.bool(false, "Période spécifique ?", group="periode") // startDate = input.time(timestamp("01 Jan 2020"), "Date de début", group="periode") // endDate = input.time(timestamp("01 Jan 2025"), "Date de fin", group="periode") //------------------------------------------ //-------------Indicateurs------------------ // inDateRange = use_period ? ((time >= startDate) and (time < endDate)) : true // //--------------Backtest------------------- // strategy_pnl = strategy.netprofit + strategy.openprofit // bnh_strategy_pnl_pcnt = (strategy_pnl / strategy.initial_capital) * 100 // float bnh_start_bar = na // bnh_start_bar := na(bnh_start_bar[1]) or inDateRange != true? close : bnh_start_bar[1] // float bnl_buy_hold_equity = na // bnl_buy_hold_equity := inDateRange == true ? ((close - bnh_start_bar)/bnh_start_bar) * 100 : bnl_buy_hold_equity[1] // bnh_vs_diff = bnh_strategy_pnl_pcnt - bnl_buy_hold_equity // bnh_diff_color = bnh_vs_diff > 0 ? color.new(color.green, inDateRange ? 60 : 100) : color.new(color.red, inDateRange ? 60 : 100) // var Table = table.new(position.top_right, columns = 2, rows = 4, border_width = 1, bgcolor = color.black, border_color = color.gray) // table.cell(table_id = Table, column = 0, row = 0, text_color=(bnh_strategy_pnl_pcnt>bnl_buy_hold_equity)?color.gray:color.green, text_size = size.normal, text = "Buy & hold profit") // table.cell(table_id = Table, column = 1, row = 0, text_color=(bnh_strategy_pnl_pcnt>bnl_buy_hold_equity)?color.gray:color.green, text_size = size.normal, text = str.tostring(bnl_buy_hold_equity, '#.##') + ' %') // table.cell(table_id = Table, column = 0, row = 1, text_color=(bnh_strategy_pnl_pcnt<bnl_buy_hold_equity)?color.gray:color.green, text_size = size.normal, text = "Strategy profit") // table.cell(table_id = Table, column = 1, row = 1, text_color=(bnh_strategy_pnl_pcnt<bnl_buy_hold_equity)?color.gray:color.green, text_size = size.normal, text = str.tostring(bnh_strategy_pnl_pcnt, '#.##') + ' %') // table.cell(table_id = Table, column = 0, row = 2, text_color=color.yellow, text_size = size.normal, text = "Date de début") // table.cell(table_id = Table, column = 1, row = 2, text_color=color.yellow, text_size = size.normal, text = str.format("{0,date,dd-MM-YYYY}",strategy.closedtrades.entry_time(1)))