Condition Cards - Max Qty to Buy or Sell

This article details the different types of Condition Cards available, their definitions, and features. 

1. Max Qty to Buy (Margin)

This condition card refers to the highest number of shares or contracts of a specific security that can be purchased using margin.

This card is only applicable to strategies for stocks, ETFs, warrants, CBBCs, and options. However, it does not apply to futures. The maximum quantity to buy may vary depending on the specific order type and price.

Stocks are counted in shares, whereas options are counted in the number of contracts.

Margin trading entails greater risk, including, but not limited to, risk of loss and incurrence of margin interest debt, and is not suitable for all investors. 

2. Max Qty to Buy (Cash)

This condition card refers to the number of shares or contracts of a specific security that can be purchased using cash.

This card is only applicable to strategies for stocks, ETFs, warrants, and options. However, it does not apply to futures. The maximum quantity to buy may vary depending on the specific order type and price.

Stocks are counted in shares, whereas options are counted in the number of contracts.

3. Max Qty to Sell

This condition card refers to the number of shares or contracts from the long position of a specific security that can be sold.

When the long position exceeds the short position, the maximum quantity to sell is greater than or equal to zero. An unfilled limit sell order may cause a portion of the long position to be frozen, and reduce the available quantity to sell. 

When the short position exceeds the long position, the maximum quantity to sell is zero.

Stocks are counted in shares, whereas futures and options are counted in the number of contracts.

Futures live trading is currently only available for trading accounts with Moomoo SG or FUTU HK and is not yet supported by accounts with Moomoo US or Moomoo AU. Futures trading involves high risks and is not suitable for all investors. The amount you could lose may be greater than your initial investment.

4. Max Qty to Buyback

This condition card refers to the number of shares or contracts from a short position in a specified security that can be purchased to close the position.

When holding a net long position, the maximum quantity to buy back equals zero.

When holding a net short position, the maximum quantity to buy back is greater than zero. An unfilled limit buy order may cause a portion of the short position to be frozen, and reduce the available quantity to buy.

Stocks are counted in shares, whereas futures and options are counted in the number of contracts.

5. Max Qty to Sell Short

This condition card refers to the highest number of shares or contracts of a specified security that can be sold short.

This card is only applicable to strategies for stocks, ETFs, warrants, and options. However, it does not apply to futures. The maximum quantity to sell short may vary depending on the specific order type and price.

Stocks are counted in shares, whereas options are counted in the number of contracts.

When short selling there is no limit on how high a stock price could rise so the potential loss is unlimited. Other risks include dividend risk and margin risk, this strategy is not appropriate for all investors.

6. Initial Margin per Contract

This condition card refers to the initial margin applicable for each contract. The initial margin per contract may vary depending on the type of order and the price.

The margin is denominated in the currency used to price the underlying security. For example, the initial margin per contract for S&P 500 index futures (US.ESmain) is denominated in US dollars.

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Losses can happen more quickly with quant and algorithmic trading compared to other forms of trading. Trading in financial markets carries inherent risks, making effective risk management a crucial aspect of quantitative trading systems. These risks encompass various factors that can disrupt the performance of such systems, including market volatility leading to losses.

Moreover, quants face additional risks such as capital allocation, technology, and broker-related uncertainties. It's important to note that automated investment strategies do not guarantee profits or protect against losses.

The responsiveness of the trading system or app may vary due to market conditions, system performance, and other factors. Account access, real-time data, and trade execution may be affected by factors such as market volatility.