Trend Hunter Strategy reveals the beginning of a trend
Most strategies trying to trade in a trending market, identify market trends too late. Most of these strategies suggest trading almost when days or weeks has past when the trend started and the price is far from the trend start point for hundreds of pips. In fact, these strategies, try to follow the trend when the trend is clear for everyone, so they are called "Trend followers". Some of these strategies even suggest a trend too late that not much profit is remaining to gain.
The most important advantage of Trend Hunter Strategy is that it reveals and identify the beginning of the trend for you and makes maximum profitability possible.
Probable "Beginning of Uptrend" or "Beginning of Downtrend" is shown in the "Forecast" section on the left side of the picture. It is also shown in the picture with "Forecast: Beginning of Up Trend" or "Forecast: Beginning of Down Trend".
Beginning zones of a trend are also denoted by "Buy zone" or "Sell zone".
Example: As seen in Figure 1, for NZD/USD pair at 2014-07-14 on the left side of the picture, "Beginning of Downtrend" is forecasted and within the forecast picture itself is indicated with "Forecast: Beginning of Down Trend". "Sell zone" is also between 0.8780 and 0.8840. The sentence "Sell below 0.8840" is also alerting that we'll place sell orders for Trend Hunting below the price 0.8840.
Sell trade result:
Sell orders generated a profit of 9,361 pips in 79 working days until 2014-11-03.
Example: As seen in Figure 3, for USD/CHF pair at 2014-05-03 on the left side of the picture, "Beginning of Uptrend" is forecasted and within the forecast picture itself is indicated with "Forecast: Beginning of Up Trend". "Buy zone" is also between 0.8700 and 0.8800. The sentence "Buy above 0.8700" is also alerting that we'll place buy orders for Trend Hunting above the price 0.8700.
Buy trade result:
Buy orders generated a profit of 7,667 pips in 106 working days until 2014-10-03.
Buy and sell zones are being calculated and specified by advanced analytic methods with "Monthly", "Weekly" and "Daily" timeframes and shown in the "Daily" timeframe.