AUTOMATED TRADING

Serve up higher margins

Dynamically adjust your position and take quick profits with precision and accuracy.
							EnableHighSpeedUpdates()
HideTradeAmountSettings()

-- Inputfields
minimumTradeAmount = Input('Minimum exposure', 10)
maximumTradeAmount = Input('Maximum exposure', 10000000)
amountFactor = Input('Trade amount factor', 2)
takeProfit = Input('Percentage profits', 0.2)
zoneFactor = Input('Zone factor', 1)

currentPrice = ClosePrices()

-- Load saved or default info.
reset = Load('reset', true)
basePrice = Load('basePrice', currentPrice)
targetSide = Load('targetSide', SignalExitPosition)
targetAmount = Load('targetAmount', minimumTradeAmount)

longAmount = LongAmount()
shortAmount = ShortAmount()

if IsAnyOrderOpen() == false and targetSide == SignalExitPosition then
  -- We dont have open orders.
  -- Make sure we dont have any positions open anymore.

  if longAmount > 0 then
    PlaceExitLongOrder(currentPrice, longAmount)
  end

  if shortAmount > 0 then
    PlaceExitShortOrder(currentPrice, shortAmount)
  end

  -- Reset base price if we dont have a position and are resetting.
  if longAmount + shortAmount == 0 and reset then
    basePrice = currentPrice
    reset = false
  end

end

-- Lets calculate the go long and short price
zoneSize = (basePrice / 100) * takeProfit / zoneFactor
goLongPrice = basePrice + zoneSize
goShortPrice = basePrice - zoneSize

function SwitchToShort(amount) 
    targetSide = SignalShort
    targetAmount = amount
    PlaceGoShortOrder(currentPrice, amount)
end

function SwitchToLong(amount) 
    targetSide = SignalLong
    targetAmount = amount
    PlaceGoLongOrder(currentPrice, amount)
end								
						
+2.4%
+1.2%
-0.6%
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Jun 23, 24, 12:16:30 Bot deactivated
Jun 23, 24, 12:16:30 Backtest start date: 06/23/24 12:16:30 GTM+0
Jun 23, 24, 12:16:30 Backtest end date: 06/23/24 12:16:30 GTM+0
Jun 23, 24, 12:16:30 Backtest took: 00:00:01.6642358ms
Jun 23, 24, 12:16:30 ----- Custom Report -----
Jun 23, 24, 12:16:30 Estimated Profit: 0.01 BTC
Jun 23, 24, 12:16:30 ----- Backtest report BINANCE_BNB_BTC_ -----
Jun 23, 24, 12:16:30 Gross profits: 100.00000000 BNB
Jun 23, 24, 12:16:30 Fee costs: 10.00000000 BNB
Jun 23, 24, 12:16:30 Realized profits: 90.00000000 BNB
Jun 23, 24, 12:16:30 Return on investment: 10.0000 %
Jun 23, 24, 12:16:30 Price change: 0.0306%
Jun 23, 24, 12:16:30 Closed positions: 100x
Jun 23, 24, 12:16:30 Profitable positions: 60x (90.00%)
Jun 23, 24, 12:16:30 Losing positions: 40x (10.00%)
Jun 23, 24, 12:16:30 Average margin: 5.00000000 BNB
Jun 23, 24, 12:16:30 Average realized profits: 10.00000000 BNB
Jun 23, 24, 12:16:30 Executed orders: 100x
Jun 23, 24, 12:16:30 Completed order: 100x
Jun 23, 24, 12:16:30 Average open time: 10 seconds
Jun 23, 24, 12:16:30 ----- Performance report BINANCE_BNB_BTC_ -----
Jun 23, 24, 12:16:30 Max. DrawDown: 1.00% / 40.00000000 BNB
Jun 23, 24, 12:16:30 Sharpe Ratio: 1.00
Jun 23, 24, 12:16:30 Sortino Ratio: 1.00
Jun 23, 24, 12:16:30 Win %: 3.00 %
Jun 23, 24, 12:16:30 Profit Ratio: 3.00
Jun 23, 24, 12:16:30 Profit Factor: 3.00
Jun 23, 24, 12:16:30 CPC Index: 1.00
Jun 23, 24, 12:16:30 Tail Ratio: 2.00
Jun 23, 24, 12:16:30 Common Sense Ratio: 2.00
Jun 23, 24, 12:16:30 Outlier Win Ratio: 3.00
Jun 23, 24, 12:16:30 Outlier Loss Ratio: 1.00
Jun 23, 24, 12:16:30 Profit Margin Ratio: 54.00
Jun 23, 24, 12:16:30 Biggest Win: 100.00000000
Jun 23, 24, 12:16:30 Biggest Loss: -100.00000000
Jun 23, 24, 12:16:30 Highest Point in PNL: 5.00000000
Jun 23, 24, 12:16:30 Lowest Point in PNL: -5.00000000

*These numbers are for illustration only and do not reflect past or future performance.

The crypto ping pong trading strategy is a straightforward approach that involves dynamically placing buy and sell orders within a predefined price range. As a trader employing this strategy, you can experience several advantages.

A major benefit of ping pong trading is its simplicity. The strategy is easy to understand and execute, even for those who are new to trading. By setting a clear range for your trades, you can avoid overcomplicating your trading decisions and focus on taking advantage of price movements within that range.

Another advantage of ping pong trading is that it can work well in range-bound markets. When an asset's price is moving sideways and not exhibiting a strong trend, this strategy allows you to profit from small fluctuations within the established range. This can lead to consistent returns, especially if the price range is well-defined and offers ample opportunities for buying low and selling high.

TradeServer Cloud's trading bots can be instrumental in implementing a successful ping pong trading strategy. These automated tools can monitor the market in real-time and execute buy and sell orders based on your predefined price range. By using trading bots, you can benefit from accurate and consistent order execution, which is essential for maximizing the returns from your ping pong trading strategy.

These trading bots on TradeServer Cloud offer a high degree of customization. You can fine-tune your ping pong strategy by adjusting the parameters to suit your specific requirements and risk tolerance. This flexibility allows you to optimize your approach, ensuring that it remains effective and profitable in various market conditions.

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See if these exclusive offers can help your trading strategies, claim these rewards while they last!

Promotions offered by third-parties and are subject to availability, terms, and conditions. Other restrictions may apply. Individual results may vary and are not typical.
  • Quicker profits

    Ping pong trading strategies can generate quick profits, as trades are typically held for a short period of time.

  • Backtesting Friendly

    This trading bot can be backtested on historical data to evaluate effectiveness to help refine performance.

  • Automation and scalability

    This type of strategy can generate large amounts of trading volume, which can be difficult for individual traders to manage manually.

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