The “Short-term Short Selling Strategy for High-liquidity Currency Pairs” aims to capitalize on short-term downward movements in high-liquidity currency pairs by entering short positions when the price is expected to drop. The strategy enters short positions based on specific conditions and employs dynamic position sizing and risk management measures to control risks and lock in profits.
The main ideas of the strategy are as follows:
This strategy takes advantage of the short-term downward trends in high-liquidity currency pairs. When the price meets specific conditions, the strategy enters a short position. The specific principles are as follows:
The “Short-term Short Selling Strategy for High-liquidity Currency Pairs” aims to capture short-term downward trends in high-liquidity currency pairs by entering short positions under specific conditions and employing dynamic position sizing and risk management measures to generate profits while controlling risks. The advantages of the strategy lie in its short-term trading approach, dynamic position sizing, and simplicity. However, it also faces market risk, slippage risk, and parameter optimization risk. To further optimize the strategy, considerations can be given to introducing more technical indicators, optimizing parameter selection, incorporating market sentiment analysis, and applying the strategy to multiple currency pairs. With continuous optimization and refinement, the strategy has the potential to achieve stable profitability in the currency market.
/*backtest start: 2024-04-01 00:00:00 end: 2024-04-30 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("Short High-Grossing Forex Pair", overlay=true) // Parameters shortDuration = input.int(7, title="Short Duration (days)") priceDropPercentage = input.float(30, title="Price Drop Percentage", minval=0, maxval=100) riskPerTrade = input.float(1, title="Risk per Trade (%)", minval=0.1, maxval=100) / 100 // Risk per trade as a percentage of equity stopLossPercent = input.float(5, title="Stop Loss Percentage", minval=0) // Stop Loss Percentage takeProfitPercent = input.float(30, title="Take Profit Percentage", minval=0) // Take Profit Percentage // Initialize variables var int shortEnd = na var float entryPrice = na // Calculate dynamic position size equity = strategy.equity riskAmount = equity * riskPerTrade pipValue = syminfo.pointvalue stopLossPips = close * (stopLossPercent / 100) positionSize = riskAmount / (stopLossPips * pipValue) // Entry condition: Enter short position at the first bar with calculated position size if (strategy.opentrades == 0) strategy.entry("Short", strategy.short, qty=positionSize) shortEnd := bar_index + shortDuration entryPrice := close alert("Entering short position", alert.freq_once_per_bar_close) // Exit conditions exitCondition = (bar_index >= shortEnd) or (close <= entryPrice * (1 - priceDropPercentage / 100)) // Stop-loss and take-profit conditions stopLossCondition = (close >= entryPrice * (1 + stopLossPercent / 100)) takeProfitCondition = (close <= entryPrice * (1 - takeProfitPercent / 100)) // Exit the short position based on the conditions if (strategy.opentrades > 0 and (exitCondition or stopLossCondition or takeProfitCondition)) strategy.close("Short") alert("Exiting short position", alert.freq_once_per_bar_close) // Plot entry and exit points for visualization plotshape(series=strategy.opentrades > 0, location=location.belowbar, color=color.red, style=shape.labeldown, text="Short") plotshape(series=strategy.opentrades == 0, location=location.abovebar, color=color.green, style=shape.labelup, text="Exit") // Add alert conditions alertcondition(strategy.opentrades > 0, title="Short Entry Alert", message="Entering short position") alertcondition(strategy.opentrades == 0, title="Short Exit Alert", message="Exiting short position")template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6