Market news & insights

Stop loss hunting is frustrating, annoying and can be detrimental to any retail trader. The premise of stop hunting is that large systemised institutional trading strategies know where the average retail trader or most traders will set stop losses and therefore profit off triggering these ‘stops. Their own algorithm will then deliberately, trigger the stop losses.

For traders there are few things as frustrating as have a well-positioned trade, being stopped out and then watching the price reverse in their original direction of the trade. What is a stop loss? Understanding stop loss hunting requires a simple understanding of what a stop loss is.

A stop loss is a trigger on traders’ position to close the position at a certain price. Generally, once triggered the position will attempt to be closed at the specified price. Stop losses provide an important role in risk management for many traders.

Generally, traders use stops losses to avoid emotional mismanagement and better manage overall risk by having clear exit points for the trade in worst case scenarios. The second element that is important to understand is where traders put their stop losses and why. Retail traders often place their stop losses near important market structures also known as support and resistance levels.

These areas represent strong zones of supply and demand. When support and resistance zones become more and more consistent and more obvious, it can create a clump of stop losses. These stop losses can be thought of as orders that must get filled if the price reaches those points.

This creates an attractive opportunity for large institutions with powerful algorithms that can push the price down and generate profits by ‘stopping out’ traders by triggering these stop losses. Once this process has occurred, the price will often move back in the direction the original trades were positioned for. Why would a system want to trigger stop losses Firstly, when stop losses are triggered, a price tends to see an increase in relative volatility.

Therefore, it may indicate the beginning of a reversal which sophisticated traders profiting. It also allows these large institutions to maximise their own existing trades as it may allow for better entries. Common areas for where stop hunters will look Stop Loss hunting tends to be most active around significant and clear areas of support and resistance.

This is especially true with regards to commonly traded assets. However, stop loss hunting can occur in all assets with various sizes. A stop hunt can be seen often with a small candlestick and a large wick.

In addition, they often occur on very short time frames. Common Area for Stop Loss Hunting At key moving average levels Clear Support and Resistance Levels Historical Support and Resistance Levels ie, Multiyear levels How to deal with Stop Loss Hunting? The obvious tactic to deal with stop hunting is to lower the stop loss below the obvious support and resistance level by a factor of maybe 10%.

This may require smaller trade size, but overall will allow the trade to hopefully avoid these potential stop losses. Treat support and resistance as areas instead of specific price points. Support and resistance do not exist at one price and rather a range of prices that are supply and demand zones.

Therefore, placing stop losses below these 'zones' may put the trade out of arm length of stop hunters. Simply being aware of stop loss hunting may provide some reassurance when a sharp spike in price occurs, to remain in the trade and not exit immediately. Ultimately, Stop Loss Hunting is just another challenge that traders must deal with in the pursuit of profit.

However, with some knowledge traders can adequately accommodate these tricky occurrences.

Mean reversion strategies are some of the simplest trading strategy’s used by sophisticated traders. However, when most traders hear the term, they immediately get confused. So, what is mean reversion and why do traders use it as a strategy?

Mean reversion is the tendency for the price of an asset to move back to its long-term average or mean after explosive moves to the up or downside. Traders can therefor capitalise on the end of these explosive moves by going long when the price has broken down and will revert up to the mean or short when there has been a strong move to the upside and the price will fall back to the mean. This strategy is often compared to trend following strategies in which the price tends to moving solely in one direction over a significant period with traders entering at the lows and exiting at the highs.

Mean reversion strategies can actually be used conjunction with a trend following strategy as trend following strategies will often pullback to the long-term mean. What is the mean? The mean is quite simply the average of a price over a time period.

In trading, the average can often be shown by using a moving average of mid points of ranging price. For instance, on a long term a significant average that is seen as the mean is the 200-period moving average. The 200-period moving average is used so often because of its length.

It provides an average over a significant period of time. Other averages that are often used include the 50 Period moving average and 100 period moving average. All three can be used in different ways to measure different reversions to the mean.

On a shorter timeframe, the Volume Weighted Average Price of VWAP is often used as a short-term measure of the mean as it adjust the price for the volume traded as well. What is the premise behind the strategy? The idea behind the strategy comes from the basic principles of supply and demand.

The price of an asset adjusts up and down until the there is a point of equilibrium or where the buyers and sellers reach a stalemate which then becomes the mean. Economic principals say that over time at some stage this phenomenon must occur. Therefore, even if the price of an asset or exploded, at some stage it will have to revert to the mean.

In addition, this process will occur regardless of the time frame. Over longer time frames, the process will still occur, although it may take much longer. For instance, if looking at the daily/weekly time frame, the process may take days and weeks to eventuate.

The examples below show how a simple mean reversion strategy can bring about large potential gains. Whilst this strategy can be extremely profitable it can also be risky because it can contradict some of the psychology that trading is built on especially in the short term. The mean reversion strategy requires the market to price assets based purely on the long-term supply and demand and markets do not always act rationally.

Emotions such as fear, and anxiety rule the market which lead to price action that can put pressure on these types of strategies. On both examples, after significant price movements towards the upside and downside, the prices peaked or bottomed and then returned to their long term mean indicated by the blue 200 period average.. Utilising a mean reversion strategy can provide high return opportunities for traders who can master the skill and strategy.

For new traders, it can be difficult to know which indicators to use, the saturation of various moving averages, RSI’s, MACD’s and more can be overwhelming and counterproductive. However, utilising relative volume, as an indicator is one of the most important sources of information for technical traders. What is Volume?

Volume is quite simply, the volume of the asset traded over a specified time. This volume is usually shown by bars, generally located at the bottom of a price chart. Each bar represents one unit of the corresponding time period’s volume traded.

It also shows whether the period ended in the green or red. Volume tends to be reflective of the interest in the asset and is therefore a valuable tool. Why Relative volume?

Now that there is a clear definition of what volume is, understanding relative volume is straight forward. It has been established that volume is indicative of the amount of the asset traded for that time. Essentially, most assets will have a consistent or average volume that gets traded over a specified time, whether it be an hour, day, or a week.

Generally, the longer the time frame, the more weight a trader should give to that average. A large spike in the volume relative to the average is what a trader should be looking for. The volume bars are the best indicators of this.

Larger volumes can indicate larger positions being taken and increasing interest. Therefore, increases in relative buying volume can be a leading indicator for a move to the upside. On the contrary, a large red volume bar can be a leading indicator that price drop is about to occur as a large position is exiting.

A rule that many retail traders like to use is to follow the “big money” or institutions. Big institutions cannot just enter or exit their positions quickly like retail traders. Therefore, these institutions leave a trail of their entries and exits, that experienced traders can capitalise on and follow.

Understanding how shifts in volume can indicate, potential break outs, break downs and reversals takes time and practice but is a valuable tool that any trader should utilise to improve their entries and exits. A few examples of volume indicating changes in price action. Apple's sharp increase in selling volume indicated the ‘top’ and has not reached those high since.

Similarly, the chart for Brent Oil showed a similar pattern whereby it could not breakthrough a long-term resistance level and combined with a large volume of selling signaled that the price had peaked. The price for Stanmore Resources saw a big push after the influx of new volume and has its price increase since the first candle. This may indicate that institutions have added the company to its holdings or that significant buying interest has returned.

Further way to optimise using relative volume Anticipating Relative volume shifts by understanding that they tend to follow on from big news events, such as unexpected results or broader macro factors. Combining big volume shifts with a break of a key support or resistance level Combining with other technical indicators. Use a collection of volume bars vs just one to see the shift in relative volume

What is a deflationary Cryptocurrency? A Deflationary Cryptocurrency is one that burns, (mints) its supply. This process lessens the number of coins or tokens on the market over a specific period (generally a year), which reduces supply and increases the price.

In general terms, ensuring that there isn’t an oversupply of a currency can be an important monetary tool to reducing inflation. Evidence of quantitative easing and what can happen when there is an oversupply can be seen by the record high inflation seen around the world. The two largest cryptocurrencies, Bitcoin and Ethereum, are both tipped to become deflationary in the future but for varying reasons Is Bitcoin deflationary?

Bitcoin has a fixed, maximum supply of 21,000,000 BTC that will be fully mined in the year 2140. The current supply of BTC is 19,008,012.00 and 20% of this supply has been lost due to forgotten passwords and forgotten keys. It’s projected that Bitcoin may officially become deflationary once its full supply has been created, as the circulating supply will continue to reduce due to holders’ unintentional losses.

Is Ethereum deflationary? Unlike, Bitcoin, Ethereum does not have a maximum supply. Rather, it has an annual supply cap at 18 million ETH.

For Ethereum to become deflationary, 2 ETH would need to be burned per block; this is because this amount is minted for each block that is mined. As per the historical data, the ETH net issuance will dive lower creating a rally in the ETH price as the circulating supply will be less. A common way to achieve deflation is by burning tokens.

Ethereum does this by minting tokens that are staked or when NFTs are minted. A point worth noting is that cryptocurrencies with a finite supply are deflationary by default. When investors buy and hold the coin, the supply reduces.

Ethereum has temporarily turned deflationary in the last few days. An unknown project by the name of XEN has assisted in the burning of ETH. What is XEN?

XEN is a project created by the “Fair Crypto Foundation,” backed by Jack Levin, one of the first employees at Google working on cloud infrastructure. The ethos aims to empower the individual with a token that starts with a zero supply and has no pre-mint, CEX listings, admin keys, or immutable contracts. XEN, which launched on Oct. 8, can be claimed, minted, or staked and is based on the first principles of cryptocurrency: self-custody, transparency, trust through consensus, and permissionless value exchange without counterparty risk.

XEN can only be traded on Uniswap, where there is very little liquidity. Time will tell if the latest hot cake in crypto turns into just another swindle. Key Takeaways ETH has turned deflationary over the past 24 hours.

High gas consumption to mint tokens for the new project XEN Crypto is the primary cause of the ETH supply drop. ETH's supply has dropped on several occasions since Ethereum completed "the Merge" in September. Are you keen to venture into trading Cryptocurrency pairs, FX, stocks or commodities?

If so, you can do so by opening an MetaTrader trading CFD account with GO Markets here or call our Melbourne based office on 03 8566 7680 to discuss your trading goals with our account managers to get started. Sources: https://au.finance.yahoo.com/, https://xcoins.com/, https://coingape.com/, https://cryptopotato.com/, https://cryptoslate.com/

Long and Short trading and investing strategies are often seen as advanced strategies only used for large hedge funds and large banks. However, retail traders can learn valuable lessons and ideas from this type of trading strategy that is usually reserved for institutional players. What is a long-short strategy?

A long-short strategy as described by its name involves holding a basket of both long and short positions of assets all a part of a portfolio or a singular trading strategy. These assets tend to be equities securities or derivatives but can also be other asset classes such as commodities and FOREX. The idea behind the strategy is that due to the negative correlation between the shorts and long positions they cancel out much of the market volatility whilst at the same time profiting up movements in price in either direction.

Steps to develop a Long Short strategy Establish which assets classes you wish to trade This step involves generating ideas for which asset classes you whish to trade. This may include FOREX, Commodities, Indices, or equities. For many traders, a combination of assets may produce an effective strategy.

For example, someone may choose to allocate 60% of the portfolio to equities, 20% to FOREX and 20% to commodities or 100% to equities. Determine how many assets to hold with in strategy. The aim of this section is to ensure that there are enough assets to be, diversified enough that a significant move in one direction will not blow the strategy out and to ensure.

The strategy requires that enough assets are held to minimise the volatility. If too few assets are used, then the returns may not be consistent enough and prone to large gains and losses. A standard range may include 20 assets with the breakdown of long and short varying from strategy to strategy.

Apportion the % of assets that will be held long and those that will be held short? This step involves an element of discretion and is where the individual trader can utilise their own experiences and edge to enhance the strategy. For instance, some traders may choose to create a 50/50 split strategy.

This means that exactly half the assets will be long, and half will be short. More specifically this split may occur via value weighting, number of assets or by price per share. Alternatively other strategies may involve having a lower proportion of short assets held, such as 20% Short and 80% long.

These types of strategies may work better when in a trending market because the strategy can still make money on assets that are falling in value whilst also taking advantage of the strong overall market trend. Choosing the individual assets to be held This is perhaps the most important step of the process. Choosing assets to hold can be a difficult task and may require both technical and fundamental analysis to find top performing assets to hold long and poor performing stocks to hold short.

The craft of the long, short strategy is performed at this stage as a trader needs to find high performing or low performing assets. An example of a 50/50 Long Short Portfolio construction is shown below. (NOTE this is a fictional Long Short portfolio and is not a real strategy or portfolio) Positives of a Long Short Strategy A long-short strategy may be able to avoid volatile returns and the effect of a choppy market because the short positions can reduce negative returns if the market is falling, and long positions can take advantage of the market is lifting. if a trader can effectively allocate their Longs and shorts, profit can be effectively achieved in most market conditions. Allows a trader to utilise their ‘edge’ for a wider array of assets.

Disadvantages This approach requires active portfolio management. As positions are constantly changing and weightings for different assets change, adjustments may need to be made to ensure that the strategy continues to balance. A Long Short strategy also generally requires a longer time frame then other scalping strategies or intraday strategies.

Having short positions means that the holder of the short is at risk of short squeezes. A short squeeze is something that anyone wishing to short should be aware of. It occurs when to many short positions attempt to close their positions at once.

This can cause a spike in the price and may force bigger positions to close, further driving up the price. Ultimately, a Long Short strategy for trading and investing can be a way to achieve more stability in volatile market conditions and provide a way to capitalise on market movements in both directions. Even just understanding how a Long-Short strategy works can provide traders and investors with enhanced understanding of how market forces impact on trading and potentially provide new strategies.

Many trading strategies utilise technical analysis to predict price patterns and for entries and exits. These strategies revolve often begin with the idea of the price having identifiable support, resistance and trendline market structures which indicate where various buying and selling points can be placed for a trade. These support and resistance indicate far more then just the price at a moment in time.

Rather they reflect the psychology of the market at a given point in time. However, when trading it is important to remember that the market is not just made of one type of trader. The market is made up of day traders, swing traders, scalpers, funds, hedge funds, retirement funds, Investment banks and all in between.

Each of these participants has their own time frame for a trade/investment. This element is the key as to why trader can utilise multiple time frame analysis. The theory it that the more market participant who view the respective level as a support or resistance, the more likely it will act in that way.

For example Assume that the price of stock A is sitting on a 5-minute support at $100. Looking purely at this 5-minute chart a trader may look to buy on this support level. However, after looking at the 30-minute chart, the chart shows that the price is not actually a support but rather just a random price point and therefor no trade is entered.

Alternatively, the 30-price chart supports the original price as a support and therefore may support the price point being a support point. How to implement multiple analysis into your trading. Determine your standard trading timeframe.

This step should be a relatively simple step if you have a clear edge. For some traders it can be 5 minutes, 15 minutes, 1 hour, one day or even one week. Work back usually by a factor a factor of 4/5 or by a logical time frame adjustment Prior to your first drawing of support resistance and trendline it is important that you adjust the timeframe of your price chart by a factor of 4/5 or a by logical adjustment such as an hour – to a day or day to week.

Example 5min – 30 min 1 hour – 4 hours 1 hour – day 1 day – 1 week 1 week – 1 month Add in Support and Resistance Lines on longer term time frames The analysis can now start, and the key is to draw the most obvious and consistent support and resistance time frames. This step also serves an important step in helping determine if the price is trending or is ranging. Revert to trading time frame and redo the same process highlighting convergences The next step is to revert to the desired trading time frame and conduct the same process.

This time if there is a Support/resistance line that is already made and acts as one on the shorter timeframe, highlight it or tag it. Looking at the example below for US car making company Tesla, the process is shown on the chart below. Firstly, with the weekly chart, support and resistance points were plotted with the black lines.

The below the daily chart shows that the support point at $265.25 acts as support for both timeframes. This indicates that price may act with more strength as a support zone. Similarly, if the level breaks it may indicate a more powerful move because more market participant will likely be involved.

In the other example for the EURUSD the same process has been done and shows that the price at 0.9600 is also doubling as a support on the daily and weekly charts. The use of multiple time frame analysis can optimise trading systems by reducing risks of fake breakouts and improving entry and exit accuracy.