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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Feb 29, 24, 22:00:10 Bot deactivated
Feb 29, 24, 22:00:10 Backtest start date: 02/29/24 22:00:10 GTM+0
Feb 29, 24, 22:00:10 Backtest end date: 02/29/24 22:00:10 GTM+0
Feb 29, 24, 22:00:10 Backtest took: 00:00:01.6642358ms
Feb 29, 24, 22:00:10 ----- Custom Report -----
Feb 29, 24, 22:00:10 Estimated Profit: 0.01 BTC
Feb 29, 24, 22:00:10 ----- Backtest report BINANCE_BNB_BTC_ -----
Feb 29, 24, 22:00:10 Gross profits: 100.00000000 BNB
Feb 29, 24, 22:00:10 Fee costs: 10.00000000 BNB
Feb 29, 24, 22:00:10 Realized profits: 90.00000000 BNB
Feb 29, 24, 22:00:10 Return on investment: 10.0000 %
Feb 29, 24, 22:00:10 Price change: 0.0306%
Feb 29, 24, 22:00:10 Closed positions: 100x
Feb 29, 24, 22:00:10 Profitable positions: 60x (90.00%)
Feb 29, 24, 22:00:10 Losing positions: 40x (10.00%)
Feb 29, 24, 22:00:10 Average margin: 5.00000000 BNB
Feb 29, 24, 22:00:10 Average realized profits: 10.00000000 BNB
Feb 29, 24, 22:00:10 Executed orders: 100x
Feb 29, 24, 22:00:10 Completed order: 100x
Feb 29, 24, 22:00:10 Average open time: 10 seconds
Feb 29, 24, 22:00:10 ----- Performance report BINANCE_BNB_BTC_ -----
Feb 29, 24, 22:00:10 Max. DrawDown: 1.00% / 40.00000000 BNB
Feb 29, 24, 22:00:10 Sharpe Ratio: 1.00
Feb 29, 24, 22:00:10 Sortino Ratio: 1.00
Feb 29, 24, 22:00:10 Win %: 3.00 %
Feb 29, 24, 22:00:10 Profit Ratio: 3.00
Feb 29, 24, 22:00:10 Profit Factor: 3.00
Feb 29, 24, 22:00:10 CPC Index: 1.00
Feb 29, 24, 22:00:10 Tail Ratio: 2.00
Feb 29, 24, 22:00:10 Common Sense Ratio: 2.00
Feb 29, 24, 22:00:10 Outlier Win Ratio: 3.00
Feb 29, 24, 22:00:10 Outlier Loss Ratio: 1.00
Feb 29, 24, 22:00:10 Profit Margin Ratio: 54.00
Feb 29, 24, 22:00:10 Biggest Win: 100.00000000
Feb 29, 24, 22:00:10 Biggest Loss: -100.00000000
Feb 29, 24, 22:00:10 Highest Point in PNL: 5.00000000
Feb 29, 24, 22:00:10 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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