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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Apr 17, 24, 02:28:49 Bot deactivated
Apr 17, 24, 02:28:49 Backtest start date: 04/17/24 02:28:49 GTM+0
Apr 17, 24, 02:28:49 Backtest end date: 04/17/24 02:28:49 GTM+0
Apr 17, 24, 02:28:49 Backtest took: 00:00:01.6642358ms
Apr 17, 24, 02:28:49 ----- Custom Report -----
Apr 17, 24, 02:28:49 Estimated Profit: 0.01 BTC
Apr 17, 24, 02:28:49 ----- Backtest report BINANCE_BNB_BTC_ -----
Apr 17, 24, 02:28:49 Gross profits: 100.00000000 BNB
Apr 17, 24, 02:28:49 Fee costs: 10.00000000 BNB
Apr 17, 24, 02:28:49 Realized profits: 90.00000000 BNB
Apr 17, 24, 02:28:49 Return on investment: 10.0000 %
Apr 17, 24, 02:28:49 Price change: 0.0306%
Apr 17, 24, 02:28:49 Closed positions: 100x
Apr 17, 24, 02:28:49 Profitable positions: 60x (90.00%)
Apr 17, 24, 02:28:49 Losing positions: 40x (10.00%)
Apr 17, 24, 02:28:49 Average margin: 5.00000000 BNB
Apr 17, 24, 02:28:49 Average realized profits: 10.00000000 BNB
Apr 17, 24, 02:28:49 Executed orders: 100x
Apr 17, 24, 02:28:49 Completed order: 100x
Apr 17, 24, 02:28:49 Average open time: 10 seconds
Apr 17, 24, 02:28:49 ----- Performance report BINANCE_BNB_BTC_ -----
Apr 17, 24, 02:28:49 Max. DrawDown: 1.00% / 40.00000000 BNB
Apr 17, 24, 02:28:49 Sharpe Ratio: 1.00
Apr 17, 24, 02:28:49 Sortino Ratio: 1.00
Apr 17, 24, 02:28:49 Win %: 3.00 %
Apr 17, 24, 02:28:49 Profit Ratio: 3.00
Apr 17, 24, 02:28:49 Profit Factor: 3.00
Apr 17, 24, 02:28:49 CPC Index: 1.00
Apr 17, 24, 02:28:49 Tail Ratio: 2.00
Apr 17, 24, 02:28:49 Common Sense Ratio: 2.00
Apr 17, 24, 02:28:49 Outlier Win Ratio: 3.00
Apr 17, 24, 02:28:49 Outlier Loss Ratio: 1.00
Apr 17, 24, 02:28:49 Profit Margin Ratio: 54.00
Apr 17, 24, 02:28:49 Biggest Win: 100.00000000
Apr 17, 24, 02:28:49 Biggest Loss: -100.00000000
Apr 17, 24, 02:28:49 Highest Point in PNL: 5.00000000
Apr 17, 24, 02:28:49 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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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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