
Dies ist eine auf K-Linien basierende, zwei-Wege-Break-Trading-Strategie. Sie erzeugt ein Handelssignal, wenn der aktuelle K-Linien-Abschlusspreis die Höchst- und die Tiefstpreise der beiden vorherigen K-Linien überschreitet.
Die Grundlogik der Strategie lautet:
Definition des Stiersignals:bull = close > open and close > math.max(close[2], open[2]) and low[1] < low[2] and high[1] < high[2]Das heißt, der Schlusskurs der aktuellen K-Linie ist größer als der Eröffnungskurs und größer als der höchste Preis der beiden vorherigen K-Linien, während der niedrigste Preis der aktuellen K-Linie niedriger ist als der niedrigste Preis der vorherigen K-Linie.
Definition des Bärensignals:bear = close < open and close < math.min(close[2], open[2]) and low[1] > low[2] and high[1] > high[2]Das heißt, der Schlusskurs der aktuellen K-Linie ist kleiner als der Schlusskurs und kleiner als der niedrigste Preis der beiden vorherigen K-Linien, während der höchste Preis der aktuellen K-Linie höher ist als der höchste Preis der vorherigen K-Linie.
Wenn das Stier-Signal ausgelöst wird, tun Sie mehr; wenn das Bär-Signal ausgelöst wird, machen Sie nichts.
Stop Loss und Stop Stop können eingestellt werden.
Die Strategie nutzt die Eigenschaften eines zweiseitigen Durchbruchs, um Trendänderungen durch Durchbruch einer wichtigen Preisspanne zu beurteilen und somit ein Handelssignal zu erzeugen.
Es ist eine relativ einfache und intuitive Durchbruchstrategie mit folgenden Vorteilen:
Die Logik ist klar, die Implementierung ist leicht zu verstehen, die Schwelle ist nicht hoch.
Breakouts sind ein häufiges Handelssignal, das leicht zu Trends führt.
Die Anbieter von Binärhandelsplattformen haben die Möglichkeit, sich mit Binärhandelsplattformen zu beschäftigen.
Flexible Einstellungen der Schadensbegrenzung und Risikokontrolle.
Die Strategie birgt auch einige Risiken:
Es ist ein sehr riskanter und streng zu überwachender Handel.
Ein Durchbruch ist leicht zu erwischen und kann zu falschen Signalen führen.
Die falsche Einstellung der Parameter kann zu übermäßigen Transaktionen führen.
Die falsche Einstellung der Stop-Loss-Stopps beeinträchtigt auch den Gewinnbereich.
Die Parameter können optimiert werden, um das Risiko zu verringern.
Diese Strategie kann in folgenden Bereichen optimiert werden:
Optimierungsparameter, wie z. B. Durchbruch-Perioden-Parameter, Stop-Loss-Stopp-Margen usw.
Die Filterbedingungen wurden erweitert, um falsche Signale für Arbitrage, Erschütterungen usw. zu vermeiden.
Der Trendindikator wird in Kombination mit dem Trendindikator verwendet, um die Schlagbreite zu vermeiden.
Optimierung der Kapitalverwaltung und Verbesserung der Positionsalgorithmen.
Die Parameter für verschiedene Sorten sind unterschiedlich und können individuell getestet und optimiert werden.
Es ist eine einfache Strategie, basierend auf einer bidirektionalen Durchbruch-Idee. Es hat die Vorteile einer klaren Logik und einer einfachen Umsetzung, aber auch ein gewisses Überwachungsrisiko. Durch die Optimierung von Parametern und Bedingungen können bessere Strategieergebnisse erzielt werden.
/*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 |
// # ========================================================================= #