: The MetaStock Formula Primer (Parts I & II) remains the definitive guide for translating advanced research into MetaStock's custom language, covering logical syntax and nested functions.
While moving averages (MA) and relative strength index (RSI) are foundational, they often fail to adapt to rapid volatility changes. Modern formulas allow you to:
While primarily an indicator, this formula functions as a scan for an exploration:
This formula calculates the difference between two moving averages with different periods (10 and 30) and then divides the result by the sum of the two moving averages. The resulting value ranges from -1 to 1, where values above 0 indicate an uptrend and values below 0 indicate a downtrend.
Building complex indicators requires an understanding of standard arguments, data functions, and mathematical operators. Formulas track open ( O ), high ( H ), low ( L ), close ( C ), volume ( V ), and open interest ( OI ). Essential Core Functions metastock formulas new
Avoid division by zero MF_Mult := If(H=L, 0, MF_Mult);
: Automatically plots green/red arrows for buy/sell entries and a blue trailing stop-loss line. 2. Enhanced Hammer Search (Custom Filter)
Dynamically adjusting stop-losses based on ATR (Average True Range).
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. : The MetaStock Formula Primer (Parts I &
Here are a few powerful formula examples that incorporate modern trading principles. A. Dynamic Volatility Breakout System
We plot a Keltner-style channel but calculated with a standard deviation multiplier. This creates a smoother envelope than Bollinger Bands, ideal for spotting "buy dips" in an uptrend.
In this article, we will explore the latest trends in MetaStock formula development, key functions to master, and practical examples to enhance your trading edge in 2026. The Evolution of Metastock Formulas
Stochastic Fractal – buy on 5-bar pattern Kfast := Stoch(14,1); IsFractal := Kfast > Ref(Kfast,-1) AND Kfast > Ref(Kfast,-2) AND Ref(Kfast,-1) > Ref(Kfast,-3) AND Ref(Kfast,-2) > Ref(Kfast,-4); BuyFractal := IsFractal AND Kfast < 20; BuyFractal The resulting value ranges from -1 to 1,
If you tell me which you prefer (like swing trading or day trading) or which indicators you like most, I can write a custom MetaStock formula specifically for your strategy.
Traditional EMAs still have lag. This interesting formula aims to eliminate it by subtracting the error of a previous EMA from the current one. : Best for crossover strategies where timing the entry is critical. Comparison
This multi-part formula categorizes market action into four specific states based on the relationship between price and volume. : Price Up, Volume Up (Bullish) : Price Up, Volume Down (Cautious Bullish) : Price Down, Volume Down (Accumulation) : Price Down, Volume Up (Bearish Distribution)
