Hmm interesting. Your thoughts??
LIVEAndrew Stewart
--
How we make profit
We make profits by executing trades based on pre-set algorithms. Here are some common strategies we use:
1. Arbitrage: Taking advantage of price differences between different exchanges. For example, if Bitcoin is priced lower on one exchange compared to another, the bot buys on the cheaper exchange and sells on the more expensive one.
2. Market Making: Placing both buy and sell orders to earn from the spread between the bid and ask prices. This provides liquidity to the market and can generate small but consistent profits.
3. Trend Following: Identifying and following market trends. The bot buys when the price is trending upwards and sells when it is trending downwards.
4. Mean Reversion: Assuming that the price will revert to its average. The bot buys when the price is below the average and sells when it is above.
5. Scalping: Making numerous small trades throughout the day to capture small price movements. This requires fast execution and is often done with high-frequency trading (HFT) bots.
6. Sentiment Analysis: Using news and social media sentiment to inform trading decisions. For example, positive news about a cryptocurrency might trigger a buy, while negative news might trigger a sell.
These strategies rely on the speed and efficiency of automated systems to capitalize on market opportunities that may be missed by human traders.
We make profits by executing trades based on pre-set algorithms. Here are some common strategies we use:
1. Arbitrage: Taking advantage of price differences between different exchanges. For example, if Bitcoin is priced lower on one exchange compared to another, the bot buys on the cheaper exchange and sells on the more expensive one.
2. Market Making: Placing both buy and sell orders to earn from the spread between the bid and ask prices. This provides liquidity to the market and can generate small but consistent profits.
3. Trend Following: Identifying and following market trends. The bot buys when the price is trending upwards and sells when it is trending downwards.
4. Mean Reversion: Assuming that the price will revert to its average. The bot buys when the price is below the average and sells when it is above.
5. Scalping: Making numerous small trades throughout the day to capture small price movements. This requires fast execution and is often done with high-frequency trading (HFT) bots.
6. Sentiment Analysis: Using news and social media sentiment to inform trading decisions. For example, positive news about a cryptocurrency might trigger a buy, while negative news might trigger a sell.
These strategies rely on the speed and efficiency of automated systems to capitalize on market opportunities that may be missed by human traders.
Disclaimer: Includes thrid-party opinions. No financial advice. May include sponsored content. See T&Cs.
Replies 0