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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Jul 16, 24, 23:55:27 Bot deactivated
Jul 16, 24, 23:55:27 Backtest start date: 07/16/24 23:55:27 GTM+0
Jul 16, 24, 23:55:27 Backtest end date: 07/16/24 23:55:27 GTM+0
Jul 16, 24, 23:55:27 Backtest took: 00:00:01.6642358ms
Jul 16, 24, 23:55:27 ----- Custom Report -----
Jul 16, 24, 23:55:27 Estimated Profit: 0.01 BTC
Jul 16, 24, 23:55:27 ----- Backtest report BINANCE_BNB_BTC_ -----
Jul 16, 24, 23:55:27 Gross profits: 100.00000000 BNB
Jul 16, 24, 23:55:27 Fee costs: 10.00000000 BNB
Jul 16, 24, 23:55:27 Realized profits: 90.00000000 BNB
Jul 16, 24, 23:55:27 Return on investment: 10.0000 %
Jul 16, 24, 23:55:27 Price change: 0.0306%
Jul 16, 24, 23:55:27 Closed positions: 100x
Jul 16, 24, 23:55:27 Profitable positions: 60x (90.00%)
Jul 16, 24, 23:55:27 Losing positions: 40x (10.00%)
Jul 16, 24, 23:55:27 Average margin: 5.00000000 BNB
Jul 16, 24, 23:55:27 Average realized profits: 10.00000000 BNB
Jul 16, 24, 23:55:27 Executed orders: 100x
Jul 16, 24, 23:55:27 Completed order: 100x
Jul 16, 24, 23:55:27 Average open time: 10 seconds
Jul 16, 24, 23:55:27 ----- Performance report BINANCE_BNB_BTC_ -----
Jul 16, 24, 23:55:27 Max. DrawDown: 1.00% / 40.00000000 BNB
Jul 16, 24, 23:55:27 Sharpe Ratio: 1.00
Jul 16, 24, 23:55:27 Sortino Ratio: 1.00
Jul 16, 24, 23:55:27 Win %: 3.00 %
Jul 16, 24, 23:55:27 Profit Ratio: 3.00
Jul 16, 24, 23:55:27 Profit Factor: 3.00
Jul 16, 24, 23:55:27 CPC Index: 1.00
Jul 16, 24, 23:55:27 Tail Ratio: 2.00
Jul 16, 24, 23:55:27 Common Sense Ratio: 2.00
Jul 16, 24, 23:55:27 Outlier Win Ratio: 3.00
Jul 16, 24, 23:55:27 Outlier Loss Ratio: 1.00
Jul 16, 24, 23:55:27 Profit Margin Ratio: 54.00
Jul 16, 24, 23:55:27 Biggest Win: 100.00000000
Jul 16, 24, 23:55:27 Biggest Loss: -100.00000000
Jul 16, 24, 23:55:27 Highest Point in PNL: 5.00000000
Jul 16, 24, 23:55:27 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.

More Alpha. Less Noise.

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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