Retail investors are prone to psychological biases that make day trading difficult. They tend to sell winners too early and hold losers too long, what some call “picking the flowers and watering the weeds.” That’s easy to do when you get a shot of adrenaline for closing out a profitable trade. Investors engage in myopic loss aversion, which renders them too afraid to buy when a stock declines because they fear it might fall further.
Following the 1987 stock market crash, the SEC adopted "Order Handling Rules" which required market makers to publish their best bid and ask on the NASDAQ. Another reform made was the "Small-order execution system", or "SOES", which required market makers to buy or sell, immediately, small orders (up to 1000 shares) at the market maker's listed bid or ask. The design of the system gave rise to arbitrage by a small group of traders known as the "SOES bandits", who made sizable profits buying and selling small orders to market makers by anticipating price moves before they were reflected in the published inside bid/ask prices. The SOES system ultimately led to trading facilitated by software instead of market makers via ECNs.
Liquidity - The liquidity of a market affects the performance of scalping. Each product within the market receives different spread, due to popularity differentials. The more liquid the markets and the products are, the tighter the spreads are. Some scalpers like to trade in a more liquid market since they can move in and out of large positions easily without adverse market impact. Other scalpers like to trade in less liquid markets, which typically have significantly larger bid-ask spreads. Whereas a scalper in a highly liquid market (for example, a market maintaining a one-penny spread) may take 10,000 shares to make a 3 cent gain ($300), a scalper in an illiquid market (for example, a market with a 25 cent spread) may take 500 shares for a 60 cent gain ($300). While there is theoretically more profit potential in a liquid market, it is also a "poker game" with many more professional players which can make it more difficult to anticipate future price action.
This time around we’re going to outline a simple swing trading strategy. It's similar to what Jesse Livermore used to trade. Let’s review the swing trading strategy Livermore used to help forecast the biggest stock market crash in history. It is the Wall Street crash of 1929, also known as Black Tuesday. Here is another strategy called a weekly trading strategy that will keep you sane.
Solid article breaking down the two main strategies for swing trading. I stumbled on swing trading about 5-6 years ago and didn't even actually know what it was called at the time! For the last 5 years, I've been primarily trading postive reversals using the Swing Low method you describe here. After all, we've been in this amazing bull market for the last 8 years, so why fight the overall trend? One key point I would say is it is important to find a method that fit's your personality. I used attempt swing trades based upon breakouts. I found that I feared missing out on a large move, so I would pile into a trade with little thought about the risk vs. reward. I would chase prices higher. I also chased different trading methods, jumping from one to another. Long story short...it didn't work. :-) I described after much trial & error, I finally settled on a trading method that fit my personality. I have found that as a trader, you answer to yourself. Find a trading met
Futures are a contract that match up a buyer and seller at a specific price, with the buyer agreeing to pay that price for the asset when the contract expires in the future. The seller is agreeing to deliver the asset, like oil for example, to the buyer when the contract expires. Day traders are never required to deliver or pay for the actual asset, because all positions are opened and closed within the day (no open obligations). Profits are losses are based on the prices the contract is opened and closed at.
The most significant benefit of day trading is that positions are not affected by the possibility of negative overnight news that has the potential to impact the price of securities materially. Such news includes vital economic and earnings reports, as well as broker upgrades and downgrades that occur either before the market opens or after the market closes.
Another trading method is known as fading the gap at the open. When the opening price shows a gap from the previous day’s close, taking a position in the opposite direction of the gap is known as fading the gap. For days when there is no news or there are no gaps, early in the morning, day traders will take a view on the general direction of the market. If they expect the market to move up, they would buy securities that exhibit strength when their prices dip.
By holding overnight, the swing trader incurs the unpredictability of overnight risk such as gaps up or down against the position. By taking on the overnight risk, swing trades are usually done with a smaller position size compared to day trading (assuming the two traders have similarly sized accounts). Day traders typically utilize larger position sizes and may use day trading margin of 25%.
The goal of swing trading is to capture a chunk of a potential price move. While some traders seek out volatile stocks with lots of movement, others may prefer more sedate stocks. In either case, swing trading is the process of identifying where an asset's price is likely to move next, entering a position, and then capturing a chunk of the profit from that move.
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A scalp trader can look to make money in a variety of ways. One method is to have a set profit target amount per trade. This profit target should be relative to the price of the security and can range between .%1 - .25%. Another method is to track stocks breaking out to new intra-day highs or lows and utilizing Level II to capture as much profit as possible. This method requires an enormous amount of concentration and flawless order execution. Lastly, some scalp traders will follow the news and trade upcoming or current events that can cause increased volatility in a stock.