Professor Snipe: A superadaptive moving average.

25 thg 4, 2021

Prof. Snipe is a superadaptive, multi-purpose indicator I developed in order to judge market trend strength and show high probability entry points.

The indicator is focused around a zero lag moving average algorithm (SUPER-MA, [//Thick dark green and orange line]), that changes its parameters depending on the volatility (ATR) and trend strength (ADX).

If the price (black 3 period MA) is above the Super-MA, this indicates market momentum and strength. If price is below the Super-MA, price and momentum are showing weakness.

Micro-Signals are given based on smaller lag-free moving average crossovers (blue and red arrows), but entries will depend on the location of price, with respect to the super-MA.

Furthermore, to judge the current price position with respect to high timeframe averages, the algo will automatically show the location of the nearest moving averages for support and resistance.

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Entry Conditions example.:

For Longs:
Wait until the 4 hour trend flips bullish, price above Super-MA. Once it does, it will often retest the Super-MA as support. When that happens, use the next entry signal to go long.
For further safety, check the safety net (dotted hull moving average) to see if price has broken above that too, for an optimal long.

-- use caution when entering longs if: price is floating around the super-ma (very weak trend) and if price is below super-ma.

For Shorts:
Wait until the 4 hour trend flips bearish, price below Super-MA. Once it does, use lower timeframes to find short entry points using the MA signals.

-- use caution when entering shorts if: price is floating around the super-ma (very weak trend) and if price is above super-ma.

[The above is just an example of an entry condition] DYOR and test it yourself to find what works for you.

BE AWARE!
Just following the entry and exit signals (arrows) will not give you perfect results.

Summary:
Overall, this is probably the best indicator I have ever created, and has a very high success rate when used properly.

Best,
MM