これは,K線に基づく二重突破取引戦略である.現在のK線の閉じる価格が前2つのK線の最高値と最低値に比べて突破値を持つとき,取引信号を生成する.
戦略の基本論理は
牛信号を定義する:bull = close > open and close > math.max(close[2], open[2]) and low[1] < low[2] and high[1] < high[2]
つまり,現在のKラインの閉じる価格は開通価格よりも高く,前回の2つのKラインの最高価格よりも高く,現在のKラインの最低価格は前回のKラインの最低価格よりも低くなります.
熊信号を定義するbear = close < open and close < math.min(close[2], open[2]) and low[1] > low[2] and high[1] > high[2]
つまり,現在のKラインの閉じる価格は開通価格よりも低く,前2つのKラインの最低価格よりも低く,現在のKラインの最高価格は前回のKラインの最高価格よりも高くなります.
牛信号が発信されると,ロングで,ベア信号が発信されるとショートで
ストップ・ロストとメリット・テイクを設定できます
この戦略は,主要な価格ゾーンの突破によってトレンドの変化を判断するために,二重突破の特徴を利用し,それによって取引信号を生成します.
これは比較的シンプルで直感的なブレークアウト戦略で,以下の利点があります.
論理は明確で 分かりやすく 導入も簡単で 入国障壁も低い
突破は,トレンドを容易に形成する傾向のある一般的な取引信号です.
ロングとショートの両方に走ることで 双方向取引が可能になり 利益の機会も増加します
柔軟なストップ・ロストとテイク・プロフィートの設定が リスクをコントロールするのに役立ちます
この戦略にはいくつかのリスクもあります.
双方向取引はリスクが高く,注意深く監視する必要があります.
逃亡者は 罠に弱いので 偽信号を 形成する可能性があります
パラメータの設定が正しくない場合,取引が過剰になる可能性があります.
誤ったストップ・ロストと取利益設定も,利益の可能性に影響を与えます.
パラメータを最適化し 製品を適切にフィルターすることで リスクを軽減できます
戦略は以下の側面で最適化できます.
ブレイクアウトサイクルのようなパラメータを最適化します ストップ損失/利益の範囲など
フィルタリング条件を追加し,アービタージや横向きの動きなどのエラーを避ける.
統合範囲を避けるために傾向指標を組み込む.
資本管理を最適化し ポジションアルゴリズムを改良する
異なる製品に異なるパラメータを テストし,個別に最適化します
これは,デュアル・ブレイクアウトの概念に基づいたシンプルな戦略である.明確な論理と簡単な実装の利点があるが,一定のモニタリングリスクも伴う.パラメータとコンディション最適化によってより良い戦略結果が期待できる.
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 // # ========================================================================= # // # | Strategy | // # ========================================================================= # SystemName = "Strategy Template Autoview" TradeId = "S" // These values are used both in the strategy() header and in the script's relevant inputs as default values so they match. // Unless these values match in the script's Inputs and the TV backtesting Properties, results between them cannot be compared. InitCapital = 1000000 InitPosition = 2 InitCommission = 0.075 InitPyramidMax = 1 CalcOnorderFills = false ProcessOrdersOnClose = true // display the signals one candle earlier CalcOnEveryTick = true // forward testing //CloseEntriesRule = "ANY" strategy(title=SystemName, shorttitle=SystemName, overlay=true, pyramiding=InitPyramidMax, initial_capital=InitCapital, default_qty_type=strategy.fixed, process_orders_on_close=ProcessOrdersOnClose, default_qty_value=InitPosition, commission_type=strategy.commission.percent, commission_value=InitCommission, calc_on_order_fills=CalcOnorderFills, calc_on_every_tick=CalcOnEveryTick, precision=6, max_lines_count=500, max_labels_count=500) // # ========================================================================= # // # ========================================================================= # // # || Alerts || // # ========================================================================= # // # ========================================================================= # show_alerts_debug = input.bool(true, title = "Show Alerts Debug Label?", group = "Debug") //i_alert_txt_entry_long = input.text_area(defval = "", title = "Long Entry Message", group = "Alerts") //i_alert_txt_entry_short = input.text_area(defval = "", title = "Short Entry Message", group = "Alerts") //i_alert_txt_exit_long = input.text_area(defval = "", title = "Long Exit Message", group = "Alerts") //i_alert_txt_exit_short = input.text_area(defval = "", title = "Short Exit Message", group = "Alerts") i_broker_mode = input.string("DEMO", title = "Use Demo or Live Broker", options=["DEMO", "LIVE"], group = "Automation") i_broker_name = input.string("Tradovate", title = "Broker Name", options=["Tradovate", "AscendEX", "Binance", "Binance Futures", "Binance US", "Binance Delivery", "Kraken", "Deribit", "Poloniex", "Okcoin", "Bitfinex", "Oanda", "Kucoin", "Okex", "Bybit", "FTX", "Bitmex", "Alpaca", "Gemini"], group = "Automation") i_enable_trades = input.bool(true, title = "Enable trades?", group = "Automation", tooltip = "If not enabled, disables live trades, but more importantly, it will output what Autoview is going to do when you go live.") i_account_name = input.string("*", title = "Account Name", group = "Automation") i_symbol_name = input.string("btcusd_perp", title = "Symbol Name", group = "Automation") nb_contracts = input.int(2, title = "Nb Contracts", group = "Automation") use_delay = input.bool(false, title = "Use Delay between orders", group = "Automation", inline = "delay") i_delay_qty = input.int(1, title = "Delay in seconds", group = "Automation", inline = "delay") i_use_borrow_repay = input.bool(false, title = "Use Borrow/Repay Mode?", group = "Binance Automation") i_asset_borrow_repay = input.string("BTC", title = "Asset to Borrow/Repay", group = "Binance Automation") i_qty_borrow_repay = input.float(1., title = "Quantity of assets to borrow?", group = "Binance Automation") // # ========================================================================= # // # ========================================================================= # // # || Dates Range Filtering || // # ========================================================================= # // # ========================================================================= # DateFilter = input(false, "Date Range Filtering", group="Date") // ————— Syntax coming from https://www.tradingview.com/blog/en/new-parameter-for-date-input-added-to-pine-21812/ i_startTime = input(defval = timestamp("01 Jan 2019 13:30 +0000"), title = "Start Time", group="Date") i_endTime = input(defval = timestamp("30 Dec 2021 23:30 +0000"), title = "End Time", group="Date") TradeDateIsAllowed() => true // # ========================================================================= # // # | Custom Exits | // # ========================================================================= # //use_custom_exit = input.bool(true, title = "Use Custom Exits?", group = "Custom Exits") // # ========================================================================= # // # | Stop Loss | // # ========================================================================= # use_sl = input.string("None", title = "Select Stop Loss Mode", options=["None", "Percent", "Price"], group = "Stop Loss") sl_input_perc = input.float(3, minval = 0, title = "Stop Loss (%)", group = "Stop Loss (%)") * 0.01 sl_input_pips = input.float(30, minval = 0, title = "Stop Loss (USD)", group = "Stop Loss (USD)") // # ========================================================================= # // # | Take Profit | // # ========================================================================= # use_tp = input.string("None", title = "Select Take Profit Mode", options=["None", "Percent", "Price"], group = "Take Profit") tp_input_perc = input.float(3, minval = 0, title = "Take Profit (%)", group = "Take Profit (%)") * 0.01 tp_input_pips = input.float(30, minval = 0, title = "Take Profit (USD)", group = "Take Profit (USD)") // # ========================================================================= # // # | Consolidated Entries | // # ========================================================================= # bull = close > open and close > math.max(close[2], open[2]) and low[1] < low[2] and high[1] < high[2] // low < low[1] and low[1] < low[2] bear = close < open and close < math.min(close[2], open[2]) and low[1] > low[2] and high[1] > high[2] // low < low[1] and low[1] < low[2] // # ========================================================================= # // # | Entry Price | // # ========================================================================= # entry_long_price = ta.valuewhen(condition=bull and strategy.position_size[1] <= 0, source=close, occurrence=0) entry_short_price = ta.valuewhen(condition=bear and strategy.position_size[1] >= 0, source=close, occurrence=0) var float entry_price = 0. if bull entry_price := entry_long_price if bear entry_price := entry_short_price // # ========================================================================= # // # || Global Trend Variables || // # ========================================================================= # T1_sinceUP = ta.barssince(bull) T1_sinceDN = ta.barssince(bear) T1_nUP = ta.crossunder(T1_sinceUP,T1_sinceDN) T1_nDN = ta.crossover(T1_sinceUP,T1_sinceDN) T1_sinceNUP = ta.barssince(T1_nUP) T1_sinceNDN = ta.barssince(T1_nDN) T1_BuyTrend = T1_sinceDN > T1_sinceUP T1_SellTrend = T1_sinceDN < T1_sinceUP T1_SellToBuy = T1_BuyTrend and T1_SellTrend[1] T1_BuyToSell = T1_SellTrend and T1_BuyTrend[1] T1_ChangeTrend = T1_BuyToSell or T1_SellToBuy // # ========================================================================= # // # | Stop Loss | // # ========================================================================= # var float final_SL_Long = 0. var float final_SL_Short = 0. if use_sl == "Percent" final_SL_Long := entry_long_price * (1 - sl_input_perc) final_SL_Short := entry_short_price * (1 + sl_input_perc) else if use_sl == "Price" final_SL_Long := entry_long_price - (sl_input_pips) final_SL_Short := entry_short_price + (sl_input_pips) plot(strategy.position_size > 0 and use_sl != "None" ? final_SL_Long : na, title = "SL Long", color = color.fuchsia, linewidth=2, style=plot.style_linebr) plot(strategy.position_size < 0 and use_sl != "None" ? final_SL_Short : na, title = "SL Short", color = color.fuchsia, linewidth=2, style=plot.style_linebr) // # ========================================================================= # // # | Take Profit | // # ========================================================================= # var float final_TP_Long = 0. var float final_TP_Short = 0. if use_tp == "Percent" final_TP_Long := entry_long_price * (1 + tp_input_perc) final_TP_Short := entry_short_price * (1 - tp_input_perc) else if use_tp == "Price" final_TP_Long := entry_long_price + (tp_input_pips) final_TP_Short := entry_short_price - (tp_input_pips) plot(strategy.position_size > 0 and use_tp != "None" ? final_TP_Long : na, title = "TP Long", color = color.orange, linewidth=2, style=plot.style_linebr) plot(strategy.position_size < 0 and use_tp != "None" ? final_TP_Short : na, title = "TP Short", color = color.orange, linewidth=2, style=plot.style_linebr) // # ========================================================================= # // # | AutoView Calls | // # ========================================================================= # float quantity = nb_contracts string product_type_ticker = i_symbol_name var string broker_mode = "" if i_broker_mode == "DEMO" broker_mode := switch i_broker_name "Tradovate" => "tradovatesim" "Ascendex" => "ascendex-sandbox" "Binance Futures" => "binancefuturestestnet" "Binance Delivery" => "binancedeliverytestnet" "Oanda" => "oandapractice" "Bitmex" => "bitmextestnet" "Bybit" => "bybittestnet" "Alpaca" => "alpacapaper" "Kucoin" => "kucoinsandbox" "Deribit" => "deribittestnet" "Gemini" => "gemini-sandbox" => i_broker_name else // "LIVE" broker_mode := switch i_broker_name "Tradovate" => "tradovate" "Ascendex" => "ascendex" "Binance Futures" => "binancefutures" "Binance Delivery" => "binancedelivery" "Binance" => "binance" "Oanda" => "oanda" "Kraken" => "kraken" "Deribit" => "deribit" "Bitfinex" => "bitfinex" "Poloniex" => "poloniex" "Bybit" => "bybit" "Okcoin" => "okcoin" "Kucoin" => "kucoin" "FTX" => "ftx" "Bitmex" => "bitmex" "Alpaca" => "alpaca" "Gemini" => "gemini" => i_broker_name enable_trades = i_enable_trades ? "" : " d=1" string delay_qty = use_delay ? " delay=" + str.tostring(i_delay_qty) : "" i_alert_txt_entry_long = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=short c=position t=market" + "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty i_alert_txt_entry_short = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=long c=position t=market" + "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty var string temp_txt_SL_long = "" var string temp_txt_SL_short = "" var string temp_txt_TP_long = "" var string temp_txt_TP_short = "" if use_sl == "Percent" temp_txt_SL_long := "sl=-" + str.tostring(sl_input_perc * 100) + "%" temp_txt_SL_short := "sl=" + str.tostring(sl_input_perc * 100) + "%" else if use_sl == "Price" temp_txt_SL_long := "fsl=" + str.tostring(final_SL_Long) temp_txt_SL_short := "fsl=" + str.tostring(final_SL_Short) if use_tp == "Percent" temp_txt_TP_long := "p=" + str.tostring(tp_input_perc * 100) + "%" temp_txt_TP_short := "p=-" + str.tostring(tp_input_perc * 100) + "%" else if use_tp == "Price" temp_txt_TP_long := "fpx=" + str.tostring(final_TP_Long) temp_txt_TP_short := "fpx=" + str.tostring(final_TP_Short) i_alert_txt_exit_SL_long = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long c=position t=market " + temp_txt_SL_long + enable_trades i_alert_txt_exit_SL_short = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short c=position t=market " + temp_txt_SL_short + enable_trades i_alert_txt_exit_TP_long = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long c=position t=market " + temp_txt_TP_long + enable_trades i_alert_txt_exit_TP_short = "a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short c=position t=market " + temp_txt_TP_short + enable_trades string final_alert_txt_entry_long = i_alert_txt_entry_long string final_alert_txt_entry_short = i_alert_txt_entry_short if i_use_borrow_repay and i_broker_name == "Binance" final_alert_txt_entry_long := "a=" + i_account_name + " e=" + broker_mode + "y=borrow w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades + "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=short c=position t=market" + delay_qty + "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=long q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty + "\n a=" + i_account_name + " e=" + broker_mode + "y=repay w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades final_alert_txt_entry_short := "a=" + i_account_name + " e=" + broker_mode + "y=borrow w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades + "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + enable_trades + " b=long c=position t=market" + delay_qty + "\n a=" + i_account_name + " e=" + broker_mode + " s=" + product_type_ticker + " b=short q=" + str.tostring(quantity, "#") + " t=market" + enable_trades + delay_qty + "\n a=" + i_account_name + " e=" + broker_mode + "y=repay w=" + i_asset_borrow_repay + " q=" + str.tostring(i_qty_borrow_repay, "#") + enable_trades //i_alert_txt_entry_long := final_alert_txt_entry_long //i_alert_txt_entry_short := final_alert_txt_entry_short if show_alerts_debug and barstate.islastconfirmedhistory var label lblTest = na label.delete(lblTest) string label_txt = i_alert_txt_entry_long if use_sl != "None" label_txt := label_txt + "\n" + i_alert_txt_exit_SL_long if use_tp != "None" label_txt := label_txt + "\n" + i_alert_txt_exit_TP_long t = time + (time - time[1]) * 25 lblTest := label.new( x = t, y = ta.highest(50), text = label_txt, xloc = xloc.bar_time, yloc = yloc.price, color = color.new(color = color.gray, transp = 0), style = label.style_label_left, textcolor = color.new(color = color.white, transp = 0), size = size.large ) // # ========================================================================= # // # | Strategy Calls and Alerts | // # ========================================================================= # if bull and TradeDateIsAllowed() strategy.entry(id = "Long", direction = strategy.long, comment = "Long", alert_message = i_alert_txt_entry_long, qty = nb_contracts) alert(i_alert_txt_entry_long, alert.freq_once_per_bar) else if bear and TradeDateIsAllowed() strategy.entry(id = "Short", direction = strategy.short, comment = "Short", alert_message = i_alert_txt_entry_short, qty = nb_contracts) alert(i_alert_txt_entry_short, alert.freq_once_per_bar) //quantity := quantity * 2 strategy.exit(id = "Exit Long", from_entry = "Long", stop = (use_sl != "None") ? final_SL_Long : na, comment_loss = "Long Exit SL", alert_loss = (use_sl != "None") ? i_alert_txt_exit_SL_long : na, limit = (use_tp != "None") ? final_TP_Long : na, comment_profit = "Long Exit TP", alert_profit = (use_tp != "None") ? i_alert_txt_exit_TP_long : na) strategy.exit(id = "Exit Short", from_entry = "Short", stop = (use_sl != "None") ? final_SL_Short : na, comment_loss = "Short Exit SL", alert_loss = (use_sl != "None") ? i_alert_txt_exit_SL_short : na, limit = (use_tp != "None") ? final_TP_Short : na, comment_profit = "Short Exit TP", alert_profit = (use_tp != "None") ? i_alert_txt_exit_TP_short : na) if strategy.position_size > 0 and low < final_SL_Long and use_sl != "None" alert(i_alert_txt_exit_SL_long, alert.freq_once_per_bar) else if strategy.position_size < 0 and high > final_SL_Short and use_sl != "None" alert(i_alert_txt_exit_SL_short, alert.freq_once_per_bar) if strategy.position_size > 0 and high > final_TP_Long and use_tp != "None" alert(i_alert_txt_exit_TP_long, alert.freq_once_per_bar) else if strategy.position_size < 0 and low < final_TP_Short and use_tp != "None" alert(i_alert_txt_exit_TP_short, alert.freq_once_per_bar) // # ========================================================================= # // # | Reset Variables | // # ========================================================================= #