दो-दिशात्मक एडीएक्स ट्रेडिंग रणनीति एक मात्रात्मक रणनीति है जो औसत दिशात्मक सूचकांक (एडीएक्स) संकेतक का उपयोग करके दो-दिशात्मक ट्रेडिंग को लागू करती है। रणनीति एडीएक्स संकेतक और डीआईपीएल और डीआईएमिनस संकेतक के बीच अंतर की गणना करके और लाभ के लिए लंबी और छोटी प्रविष्टियों को निर्धारित करने के लिए सीमाएं निर्धारित करके ट्रेडिंग संकेत उत्पन्न करती है।
इस रणनीति का मूल ADX और दिशात्मक आंदोलन संकेतकों का उपयोग कर प्रवृत्ति की दिशा और शक्ति निर्धारित करना है, जो संकेतों को फ़िल्टर करने और व्यापार को स्वचालित करने के लिए अंतर सीमा नियमों के साथ संयुक्त है।
समाधान:
द्वि-दिशात्मक एडीएक्स ट्रेडिंग रणनीति समग्र रूप से एक बहुत ही व्यावहारिक मात्रात्मक रणनीति है। यह एडीएक्स संकेतक का उपयोग करके रुझानों की पहचान करती है और दोनों दिशाओं में व्यापार के अवसरों को पकड़ती है। इस बीच, यह संकेत प्रभावशीलता को मान्य करने के लिए अंतर सीमाओं का उपयोग करती है। रणनीति में स्पष्ट और सरल तर्क है जिसे संशोधित और अनुकूलित करना आसान है। यह एक द्वि-दिशात्मक प्रवृत्ति अनुसरण प्रणाली है। पैरामीटर अनुकूलन, स्टॉप लॉस रणनीतियों और संकेत निस्पंदन के माध्यम से स्थिरता और लाभप्रदता में और सुधार हासिल किया जा सकता है।
/*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"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © MAURYA_ALGO_TRADER //@version=5 strategy("Monthly Performance", overlay=true) len = input(14) th = input(20) TrueRange = math.max(math.max(high - low, math.abs(high - nz(close[1]))), math.abs(low - nz(close[1]))) DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? math.max(high - nz(high[1]), 0) : 0 DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? math.max(nz(low[1]) - low, 0) : 0 SmoothedTrueRange = 0.0 SmoothedTrueRange := nz(SmoothedTrueRange[1]) - nz(SmoothedTrueRange[1]) / len + TrueRange SmoothedDirectionalMovementPlus = 0.0 SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - nz(SmoothedDirectionalMovementPlus[1]) / len + DirectionalMovementPlus SmoothedDirectionalMovementMinus = 0.0 SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - nz(SmoothedDirectionalMovementMinus[1]) / len + DirectionalMovementMinus DIPlus = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100 DIMinus = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100 DX = math.abs(DIPlus - DIMinus) / (DIPlus + DIMinus) * 100 ADX = ta.sma(DX, len) // plot(DIPlus, color=color.new(color.green, 0), title='DI+') // plot(DIMinus, color=color.new(color.red, 0), title='DI-') // plot(ADX, color=color.new(color.white, 0), title='ADX') // hline(th, color=color.black) //diff_1 = math.abs(DIPlus - DIMinus) diff_2 = math.abs(DIPlus-ADX) diff_3 = math.abs(DIMinus - ADX) long_diff = input(10, "Long Difference") short_diff = input(10, "Short Difference") buy_condition = diff_2 >=long_diff and diff_3 >=long_diff and (ADX < DIPlus and ADX > DIMinus) sell_condition = diff_2 >=short_diff and diff_3 >=short_diff and (ADX > DIPlus and ADX < DIMinus) if buy_condition strategy.entry("Long Entry", strategy.long, comment = "Long") if sell_condition strategy.entry("Short Entry", strategy.short, comment = "Short") // Copy below code to end of the desired strategy script /////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// // monthly pnl performance by Dr. Maurya @MAURYA_ALGO_TRADER // /////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// show_performance = input.bool(true, 'Show Monthly Monthly Performance ?', group='Monthly Performance') dash_loc_mp = input("Bottom Right","Location" ,options=["Top Right","Bottom Right","Top Left","Bottom Left", "Middle Right","Bottom Center"] ,group='Monthly Performance', inline = "performance") text_size_mp = input('Small',"Size" ,options=["Tiny","Small","Normal","Large"] ,group='Monthly Performance', inline = "performance") bg_c = input.color( color.rgb(7, 226, 242, 38), "Background Color", group='Monthly Performance') text_head_color = input.color( color.rgb(0,0,0), "Month/Year Heading Color", group='Monthly Performance') tab_month_c = input.color( color.white, "Month PnL Data Color", group='Monthly Performance') tab_year_c = input.color( color.rgb(0,0,0), "Year PnL Data Color", group='Monthly Performance') border_c = input.color( color.white, "Table Border Color", group='Monthly Performance') var table_position_mp = dash_loc_mp == 'Top Left' ? position.top_left : dash_loc_mp == 'Bottom Left' ? position.bottom_left : dash_loc_mp == 'Middle Right' ? position.middle_right : dash_loc_mp == 'Bottom Center' ? position.bottom_center : dash_loc_mp == 'Top Right' ? position.top_right : position.bottom_right var table_text_size_mp = text_size_mp == 'Tiny' ? size.tiny : text_size_mp == 'Small' ? size.small : text_size_mp == 'Normal' ? size.normal : size.large ///////////////// strategy.initial_capital = 50000 ///////////////////////////////////////////// // var bool new_month = na new_month = ta.change(month) //> 0 ? true : false newest_month = new_month and strategy.closedtrades >= 1 // profit only_profit = strategy.netprofit initial_balance = strategy.initial_capital // month number var int month_number = na month_number := (ta.valuewhen(newest_month, month(time), 0)) //and month(time) > 1 ? (ta.valuewhen(newest_month, month(time), 0) - 1) : 12 //1 to 12 //month_year var int month_time = na month_time := ta.valuewhen(newest_month, time, 0) - 2419200000 var int m_counter = 0 if newest_month m_counter += 1 // current month values var bool new_year = na new_year := ta.change(year) curr_m_pnl = only_profit - nz(ta.valuewhen(newest_month, only_profit, 0), 0) curr_m_number = newest_month ? ta.valuewhen(newest_month, month(time), 0) : month(time) curr_y_pnl = (only_profit - nz(ta.valuewhen(new_year, only_profit, 0),0)) var float [] net_profit_array = array.new_float() var int [] month_array = array.new_int() var int [] month_time_array = array.new_int() if newest_month array.push(net_profit_array, only_profit) array.push(month_array, month_number) array.push(month_time_array, month_time) var float [] y_pnl_array = array.new_float() var int [] y_number_array = array.new_int() var int [] y_time_array = array.new_int() newest_year = ta.change(year) and strategy.closedtrades >= 1 get_yearly_pnl = nz(ta.valuewhen(newest_year, strategy.netprofit, 0) - nz(ta.valuewhen(newest_year, strategy.netprofit, 1), 0), 0) get_m_year = ta.valuewhen(newest_year, year(time), 1) get_y_time = ta.valuewhen(newest_year, time, 0) if newest_year array.push(y_pnl_array, get_yearly_pnl) array.push(y_number_array, get_m_year) array.push(y_time_array, get_y_time) var float monthly_profit = na var int column_month_number = na var int row_month_time = na var testTable = table.new(position = table_position_mp, columns = 14, rows = 40, bgcolor = bg_c, border_color = border_c, border_width = 1) if barstate.islastconfirmedhistory and show_performance table.cell(table_id = testTable, column = 0, row = 0, text = "YEAR", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 1, row = 0, text = "JAN", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 2, row = 0, text = "FEB", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 3, row = 0, text = "MAR", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 4, row = 0, text = "APR", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 5, row = 0, text = "MAY", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 6, row = 0, text = "JUN", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 7, row = 0, text = "JUL", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 8, row = 0, text = "AUG", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 9, row = 0, text = "SEP", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 10, row = 0, text = "OCT", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 11, row = 0, text = "NOV", text_color = text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 12, row = 0, text = "DEC", text_color =text_head_color, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 13, row = 0, text = "YEAR P/L", text_color = text_head_color, text_size=table_text_size_mp) for i = 0 to (array.size(y_number_array) == 0 ? na : array.size(y_number_array) - 1) row_y = year(array.get(y_time_array, i)) - year(array.get(y_time_array, 0)) + 1 table.cell(table_id = testTable, column = 13, row = row_y, text = str.tostring(array.get(y_pnl_array , i), "##.##") + '\n' + '(' + str.tostring(array.get(y_pnl_array , i)*100/initial_balance, "##.##") + ' %)', bgcolor = array.get(y_pnl_array , i) > 0 ? color.green : array.get(y_pnl_array , i) < 0 ? color.red : color.gray, text_color = tab_year_c, text_size=table_text_size_mp) curr_row_y = array.size(month_time_array) == 0 ? 1 : (year(array.get(month_time_array, array.size(month_time_array) - 1))) - (year(array.get(month_time_array, 0))) + 1 table.cell(table_id = testTable, column = 13, row = curr_row_y, text = str.tostring(curr_y_pnl, "##.##") + '\n' + '(' + str.tostring(curr_y_pnl*100/initial_balance, "##.##") + ' %)', bgcolor = curr_y_pnl > 0 ? color.green : curr_y_pnl < 0 ? color.red : color.gray, text_color = tab_year_c, text_size=table_text_size_mp) for i = 0 to (array.size(net_profit_array) == 0 ? na : array.size(net_profit_array) - 1) monthly_profit := i > 0 ? ( array.get(net_profit_array, i) - array.get(net_profit_array, i - 1) ) : array.get(net_profit_array, i) column_month_number := month(array.get(month_time_array, i)) row_month_time :=((year(array.get(month_time_array, i))) - year(array.get(month_time_array, 0)) ) + 1 table.cell(table_id = testTable, column = column_month_number, row = row_month_time, text = str.tostring(monthly_profit, "##.##") + '\n' + '(' + str.tostring(monthly_profit*100/initial_balance, "##.##") + ' %)', bgcolor = monthly_profit > 0 ? color.green : monthly_profit < 0 ? color.red : color.gray, text_color = tab_month_c, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 0, row =row_month_time, text = str.tostring(year(array.get(month_time_array, i)), "##.##"), text_color = text_head_color, text_size=table_text_size_mp) curr_row_m = array.size(month_time_array) == 0 ? 1 : (year(array.get(month_time_array, array.size(month_time_array) - 1))) - (year(array.get(month_time_array, 0))) + 1 table.cell(table_id = testTable, column = curr_m_number, row = curr_row_m, text = str.tostring(curr_m_pnl, "##.##") + '\n' + '(' + str.tostring(curr_m_pnl*100/initial_balance, "##.##") + ' %)', bgcolor = curr_m_pnl > 0 ? color.green : curr_m_pnl < 0 ? color.red : color.gray, text_color = tab_month_c, text_size=table_text_size_mp) table.cell(table_id = testTable, column = 0, row =curr_row_m, text = str.tostring(year(time), "##.##"), text_color = text_head_color, text_size=table_text_size_mp) //============================================================================================================================================================================