tradetheday

GBP/CAD: Short Term Support Following 423 Pip Drop in September

Long
FX:GBPCAD   British Pound / Canadian Dollar
Hello Fellow Trader!

GBP/CAD found solid support at 1.71320 from June’s old resistance.
Short term trade has superior reward to risk ratio if optimal entry is obtained.

Caution: We are below the 200 and 50 EMA which will present price resistance once tested and this is a counter trend trade meaning our risk should not be adjusted. If failed, re access for entry.

Key Points:
- Price found support at 50% Fibonacci level of short-term range.
- RSI possible pierce through trend line and 50 mid-point simultaneously.
- IF: Trend line is Crossed, there is possibly more upside and partial position can be held with trailing stop loss.
- A close above 50 EMA will reassure us that the trade should see at least Target 1.
- Must watch price around the 200 EMA which coincides with Target 1.
- Looking for Bullish Candles to confirm entry


Key Levels:
Support – 1.71320, 1.71720
Resistance – 1.72400, 1.72975, 200 EMA

Entry Zone:
Optimal entry provides the greatest reward to risk ratio while supporting entry is a zone for reversal signals.
Optimal Entry – 1.71640
Supporting Entry – 1.71750

Candle Reversals for entry
- Bullish Hammer
- Bullish Engulfing
- Bullish Piercing

The Risk:
As traders, it is your job to mitigate the risk and only trade structures that provide high probability and great reward to risk ratios.
If you are not comfortable with defined exit levels, experiment with Moving Averages to help set solid exit rules to protect your capital.

IF: Price breaks below 1.71400– this would suggest the structure is not in our favour and would be wise to reduce exposure or close the trade until a solid signal gives us reasons to re-enter.

Reward / Reward Targets:
Optimal Entry 1.71640 – Target 1 1.72400 = 2.7x Reward to Risk
Optimal Entry 1.71640 – Target 2 1.72975 = 4.8x Reward to Risk
Supporting Entry 1.71750– Target 1 1.72400 = 1.65x Reward to Risk
Supporting Entry 1.71750 – Target 2 1.72975 = 3x Reward to Risk

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