we have to take decision at the end of 6 months
when risk reward ratio as per our analysis say it can not give more than 20 % annualized return from there onward and on the other hand some other cheap stock are waiting for us... Even if one stock which we just sold after earlier will become multi baggar does not mean law of probability say us to hold it..
Not exact matches
In the U.S. market, business leaders count on predictable electoral cycles and domestic peace
when they calculate
risk -
reward ratios.
Furthermore, one could be looking to establish new short positions
when the broad market starts bouncing into its new resistance levels, which would thereby create positive
reward to
risk ratios and low -
risk entry points for selling short and / or buying inversely correlated «short» ETFs.
But
when the proper technical signals line up, the
reward to
risk ratios are good, and entry points are low -
risk, successful traders take action and aggressively trade in the direction of the dominant market trend.
On March 3, 2009,
when the S&P 500 Index was below 700, NTU explained and documented why U.S. equities were extremely cheap and offered a very attractive
risk /
reward ratio.
Value is determined by the
risk:
reward ratio and
when you feel the
reward outweighs the
risk.
I like it because you give yourself a better
risk to
reward ratio when it happens.
The model Seiver devised using VLMAP considers the
risk -
reward ratio for stocks to be attractive enough to warrant investing new money in the market only
when it rises to at least 100.
If I were trading it without my filters today, I would consider a 3:1
reward to
risk ratio when entering on the open of the next candle (standard entry # 1) or
when using the 50 % entry (without a confirmation candle).
Note: Depending on how you trade price action patterns, if you don't use the qualifying filters that I mentioned above, you might want to experiment with a 3:1
reward to
risk ratio when trading the shooting star.
When it does, you can use that to your advantage by entering the trade with a better initial
reward to
risk ratio.
As with most of the price action patterns that I trade, I target a 2:1
reward to
risk ratio when trading the shooting star candlestick pattern.
The cypher pattern is an advanced harmonic price action pattern that,
when traded correctly, can achieve a truly outstanding strike - rate as well as a pretty good average
reward - to -
risk ratio.
The
risk to
reward ratio is best with this pattern
when all the lower shadows are short, and the third candle in this formation closes just above the 50 % mark of the first candle of the formation.
When I consistantly profit, my natural reaction is to increase my
risk reward ratio.
As I have learnt,
when trading price action with a trading plan, my
risk reward ratio equals profit.
And,
when you do set them up with say, a 80 % probability, you get the same
risk reward ratio as an IC.
Note:
When first implementing this «specialist» trading approach it might be best to just aim for a strict 1:1
risk reward ratio just to build a little confidence and build your trading account up a little.
This is because it improves the
risk -
reward ratio of the investment by reducing
risk and improving the chances of making a greater profit
when, ultimately, the market recognizes the true worth of the share.
I look forward to practicing
risk /
reward ratios when I restart my demo account.
However,
when trading most other price action patterns, including the bearish engulfing candlestick pattern, I target a 2:1
reward to
risk ratio.
For instance, I usually target a 3:1
reward to
risk ratio when trading the harami patterns.
Entry setups rarely trigger (around 50 % of the time) but
when they do they can generate huge profits (always aim for a High
Reward:
Risk ratio), False Breakout patterns are very powerful, download Price Action Tracker Now and Try our False - breakout signals.
Part of determining probabilities involves forecasting market direction and
when / where to enter into a position, but equally important is determining your
risk - to -
reward ratio.
The algorithm monitors and analyzes multiple timeframes simultaneously and executes trades only
when the
risk to
reward ratio is favourable.
However,
when you pair these portfolios with the shorted sells of the largest stocks of the lowest rank, you obtain a time robust strategy with a
risk /
reward ratio of about 1/3 with annualized gains of 30 % and maximum drawdowns of about 11 %.
If you look at the equity curve you can see that two things: 1)
When the market became completely chaotic the system lost more trades than usual but it never resulted in a huge draw down because of the favorable
risk reward ratio of 1:4 (or better).
During a more volatile time,
when the potential loss is 100 - 200 pips, it stops being an effective
risk to
reward ratio.
When the
risk /
reward ratio is right, they will act.
The
risk vs.
reward ratio is crucial
when it comes to winning the real estate investing game.