NinjaCoding @ NinjaTrader

The perfect short setup)

Structure detection. Big arrows show pivots on 4hour time frame, small arrows show pivots on 30 min timeframe.

Simple stuff that still works) MA CrossOver forever.

Use this snippet.

So as I have mentioned the amount of ideas, is numerous with this new strategy. Here is a new feature, since we use the stochastic loop to enter and make money, why don't we also use it to set our profit target. So when we enter, we can circle back a few bars and see how much move the market made on the last loop and use this range measurement as a profit target percentage.

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CYCLESTG

NC Stochastıc Cycles Strategy ınAction on 3 years NQ backtest, hardly any optimization, NC John Ehlers Mesa Stochastic used with Super Smoother! Code review coming soon!

Another example for a strategy trading either 1 or 2 positions. So when we enter we expect a sum, when it hits a stop we definitely expect zero, if its profit 1 then we either expect zero if only 1 lot is traded or we expect a remainer to equal Pos2. Also, if we exit using a market order and close it all out we also would expect zero.

The above handler is for working with 3 splits. So this strategy can trade 1 position, 2 or 3, has a stop loss and 3 profit targets.

Another possible solution for the Aphex problem. In this case it can still break is Position.Qnt returns are wrong which might also happen I believe. So there can't be an absolute 100% working solution if there is no trust in server returns. We have to be sure at least about something in order to build the logic around it.

As you can see this case is a complete pass of these conditions. The STCH breaks out of THR and when we check back on it on the other side of the loop we see that the market has made a thrusty move up so we are safe to let it run for the day.

This entry is made when both the price level is broken through and the NCJEMesaStochastic goes out of the oversold zone. The idea is that if we go out of the oversold zone we still have room to make some money whilst the stochastic is moving up. We also have room for a few stochastic loops BUT we have to double check where the price is when the stochastic moves to the other side. As you can see in this case upon checking back on the stochastic on the other side we found out that the price has NOT gone in our favour so we quite the trade early enough. This sort of position management has saved a lot of losses.

_enterLong = _emaFast[0] > _emaSlow[0] && Close[0] > _emaFast[0] && Close[1] < _emaFast[1] && Close[0] > _emaSlow[0];