EHLER'S INDICATORS
MT4: go here
MT5: go here
Background & CareerEhlers trained as an electrical engineer: he holds a BSEE and MSEE from the University of Missouri. Later, he completed doctoral work at George Washington University, specializing in fields & waves and information theory.
Before becoming a full-time independent trader, he worked at Raytheon, retiring as a Senior Engineering Fellow.
He began trading privately in 1976. Over time, his engineering background shaped his approach to market analysis and algorithmic trading.
What Heβs Known For β DSP + Market AnalysisEhlers is widely regarded as a pioneer in applying digital signal processing (DSP) β including spectral analysis and filter theory β to financial market data (stocks, futures, forex, etc.).
One of his landmark innovations: the MESA algorithm (Maximum Entropy Spectrum Analysis), a method to detect dominant cycles in price data and adapt indicator parameters accordingly, rather than relying on arbitrary/fixed periods.
His philosophy: before coding or deploying any trading technique, one should test it on theoretical waveforms (idealized data) to validate the math; only then apply to real-world data. In his view, this reduces overfitting and miscalibration.
Publications & Code β For Traders & CodersEhlers has authored numerous books, such as MESA and Trading Market Cycles, Rocket Science for Traders, and Cybernetic Analysis for Stocks and Futures.
He has been a frequent contributor to Technical Analysis of Stocks & Commodities magazine (often abbreviated βS&C Magazineβ), where he published many indicator designs, trading system ideas, and code snippets (e.g. for various trading platforms).
His indicators often aim for βzero-lagβ or minimal-lag filtering β smoothing price data without introducing too much delay. Tools like the βDirectional Movement w/ Hann Windowing (DMH)β, βZero-Lag filtersβ, βLaguerre filtersβ, custom oscillators, and cycle filters are widely attributed to him and used in algorithmic trading systems.
What to Know β Strengths and CriticismsStrengths: Ehlersβ approach is mathematically rigorous, explicitly uses engineering and DSP principles, and avoids βmagic numbersβ (like fixed-length 14-day RSI) by adapting to changing market cycles. This can produce more robust, adaptive trading indicators relative to standard ones.
Challenges / Criticisms: Some trading-community explorations of his systems (e.g. one based on his βInstantaneous Trendlineβ indicator) have shown poor performance with trend-following logic in out-of-sample backtests β leading some to invert the signal and use a mean-reversion logic instead.
This suggests that while the math or filtering ideas may be sound, actual trading success still depends heavily on how the filters/indicators are used, optimized, and tested β underscoring the need for rigorous backtesting and risk management.
Relevance & Influence β Why Traders Still Follow HimEhlersβ work helped popularize the use of DSP and adaptive filter design in trading tools, influencing many modern algorithmic traders, coders, and quantitative analysts.
Many βcustom indicatorsβ in trading platforms β especially those promising less lag and more responsiveness β trace their conceptual lineage to Ehlersβ research.
For traders with a coding background (e.g. using EasyLanguage, Python, or other algo-trading platforms), Ehlersβ papers and book content remain valuable as a mathematical foundation for building custom, tailored trading systems.
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TASC = Technical Analysis of Stocks & Commodities
TradeStation: November 2023
In his article in the September 2023 issue titled βVAcc: A Momentum Indicator Based On Velocity And Acceleration,β author Scott Cong has introduced a new momentum indicator based on the simple physics principles of velocity and acceleration. The indicator is said to be responsive, precise, and easy to use. In addition, the indicator is said to be less susceptible to overbought/oversold saturation. The TradeStation implementation in EasyLangauge uses a VAcc function.
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Function: VAcc// TASC NOVEMBER 2023// VAcc Function// Scott Conginputs:iLength( numericsimple ),iSmooth( numericsimple ),iReturnType( numericsimple );Variables:Length( iLength ),Avg_acc( 0 ),Avg_vel( 0 ),Sum_acc( 0 ),Sum_vel( 0 ),Idx( 0 ),Result( 0 );Sum_vel = 0;for Idx = 1 to Lengthbegin Sum_vel += (Close - Close[Idx]) / Idx;end;Avg_vel = XAverage(Sum_vel / Length, iSmooth);Sum_acc = 0;for Idx = 1 to Lengthbegin Sum_acc += (Avg_vel - Avg_vel[Idx]) / Idx;end;Avg_acc = Sum_acc / Length;if iReturnType = 0 then Result = Avg_velelse Result = Sum_acc;VAcc = Result;Indicator: VAcc // TASC NOVEMBER 2023// VAcc - Velocity (V) and Acceleration (Acc) // Scott Conginputs:Period( 21 ),Smooth( 5 );variables:AvgVel( 0 ),AvgAcc( 0 );AvgVel = 100 * VAcc(Period, Smooth, 0);AvgAcc = 100 * VAcc(Period, Smooth, 1);Plot1( AvgVel / Period * 2, "VAcc" );Plot2( 0, "Zero" );]]>
For MT4, please go here:
topic8423458.html
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In Forex, TMA usually refers to the Triangular Moving Average β
a type of moving average that smooths price more strongly than SMA or EMA.
What is TMA (Triangular Moving Average)?The Triangular Moving Average (TMA) is a moving average that applies double smoothing to price data:
- First, it takes a Simple Moving Average (SMA).
- Then, it takes another SMA of that first SMA.
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Why is it called βTriangularβ?Because the weighting of the price data forms a triangle shape:
Prices near the middle of the period get more weight.
Prices at the start and end get less weight.
Example for a 7-period TMA weight distribution:
1, 2, 3, 4, 3, 2, 1
This βtriangleβ of weights gives the name Triangular Moving Average.
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What TMA is used forTrend direction
Smoother signals with less noise
Support/resistance dynamic levels
Filtering out fake volatility spikes
Traders like it because it looks cleaner than many other moving averages.
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Important: Centered TMA vs Regular TMAIn Forex forums (especially Forex-Station), TMA often refers to Centered TMA, which recalculates historically because it uses future bars for smoothing.
Regular TMA = normal triangular MA (does not repaint)
Centered TMA = smoothed and shifted; recalculates (many people call it βrepaintingβ)
Mladen explained:
βCentered TMA recalculates; thatβs not repainting. Itβs just math that uses future data.β
This is why many TMA indicators appear to βmoveβ historically.
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topic8414481.html
Thank you
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For MT4, please go here:
dashboard-type-indicators-for-mt4-t8473219.html
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- US, Nikkei stock futures, West Texas Crude futures affected
- Cooling issue at CyrusOne data centers caused outage
- Traders left without prices, expect market volatility
This technical issue is impacting futures trading for the US S&P 500 and NASDAQ, as well as Foreign Exchange products.
Japan's core CPI continues to be stubbornly high and has exceeded the BoJ's 2 percent target, leading to demands for increased interest rates.
Anyone here affected by the outage?
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//+------------------------------------------------------------------+//| Copyright Β© 2020, Gehtsoft USA LLC | //| http://fxcodebase.com |//+------------------------------------------------------------------+//| Developed by : Mario Jemic |//| mario.jemic@gmail.com |//| //+------------------------------------------------------------------+]]>
Hey everyone,
After years of developing indicators and refining my approach, I'm releasing my new complete trading framework: the Trinity System.
The name says it all:
β’ 3 Timeframes (Current + 2 Higher)
β’ 3 Signal Types (Structure + Momentum + Levels)
β’ 3 Convergence Points (Azimuth + Oracle + Black Zones)
The core principle is simple: CONVERGENCE IS EVERYTHING.
One indicator can lie. Two can disagree. But when three independent systems across multiple timeframes all point in the same direction? That's when the probability shifts heavily in your favor.
This is not a "set and forget" system. It's a framework that teaches you to wait for alignment before pulling the trigger.
PS: It works on any TF but it's tested, daily used and optimized for TF from M1 to M30. You must increase Bars in Azimuth for swing trading, as it requires more resources.
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PART 1: THE THREE PILLARS
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PILLAR 1: AZIMUTH β Structure & Setup Detection
Azimuth answers the question: WHERE is the trade?
It uses multiple ZigZag technology to map market structure (L1-L4 swings) and generates setup signals at potential reversal points. The key features:
β’ Multi-level ZigZag (L1 = noise, L2 = minor, L3 = major, L4 = primary trend)
β’ Dynamic candle coloring based on price position vs MA and AVWAP
β’ Anchored VWAP zones for value area context
HOW TO READ IT:
- Setup signal appears (arrow or marker at swing point)
- Candles turn GREEN = price closed ABOVE MA and AVWAP = BULLISH bias
- Candles turn RED = price closed BELOW MA and AVWAP = BEARISH bias
- Candles GRAY/NEUTRAL = no clear bias, stay out
PILLAR 2: THE ORACLE β Multi-Timeframe Momentum Consensus
Oracle answers the question: WHEN should I trade? You know it but this version has been rewritten completely from scratch with new models and two new indicators. It combines 7 independent indicators into one consensus signal. But here's the key: we use THREE Oracle instances stacked across timeframes.
HOW TO READ IT:
- Each Oracle shows consensus (e.g., 5/7, 6/7, 7/7)
- Direction matters more than strength
- ALL THREE must agree: all bullish OR all bearish
- If even ONE disagrees β NO TRADE
PILLAR 3: BLACK ZONES β Institutional Support & Resistance
Black Zones answer the question: WHY does price react here?
These are high-probability S/R levels where institutional activity has occurred. It has been completely rewritten too, and now it includes a new fractal logic, liquidity logic, fixes, market profile and PDH/PDL.
HOW TO READ IT:
- Black rectangles/lines mark institutional zones
- DEMAND zones (support) = potential LONG entries
- SUPPLY zones (resistance) = potential SHORT entries
- Price AT or NEAR a zone = setup is valid
- Price far from any zone = wait for better location
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PART 2: ENTRY RULES
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Before entering ANY trade, run through this TRINITY CONVERGENCE CHECKLIST:
β AZIMUTH: Setup signal present?
β AZIMUTH: Candle color confirms direction?
β ORACLE #1 (Current TF): Aligned with trade direction?
β ORACLE #2 (1st HTF): Aligned with trade direction?
β ORACLE #3 (2nd HTF): Aligned with trade direction?
β BLACK ZONE: Price at relevant HTF zone?
β ALL SIX BOXES CHECKED β ENTER THE TRADE
βANY BOX UNCHECKED β DO NOT TRADE, WAIT
LONG ENTRY CONDITIONS (all must be true):
1. Azimuth shows BULLISH setup signal at a swing low
2. Candles have turned GREEN (price > MA and AVWAP)
3. Oracle #1 (Current TF) is BULLISH (green, consensus positive)
4. Oracle #2 (1st HTF) is BULLISH
5. Oracle #3 (2nd HTF) is BULLISH
6. Price is AT or NEAR a Black Zone DEMAND
β Enter LONG on the next candle open after all conditions align.
SHORT ENTRY CONDITIONS (all must be true):
1. Azimuth shows BEARISH setup signal at a swing high
2. Candles have turned RED (price < MA and AVWAP)
3. Oracle #1 (Current TF) is BEARISH (red, consensus negative)
4. Oracle #2 (1st HTF) is BEARISH
5. Oracle #3 (2nd HTF) is BEARISH
6. Price is AT or NEAR a Black Zone SUPPLY level
β Enter SHORT on the next candle open after all conditions align.
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PART 3: EXIT RULES β STOP LOSS
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Your stop loss is placed at the STRUCTURAL INVALIDATION POINT β the Azimuth swing that generated your setup.
FOR LONG TRADES:
Stop Loss = Below the swing LOW that created the bullish setup
(This is typically an L2 or L3 swing low on Azimuth)
FOR SHORT TRADES:
Stop Loss = Above the swing HIGH that created the bearish setup
(This is typically an L2 or L3 swing high on Azimuth)
WHY THIS WORKS:
If price breaks the swing that generated your setup, the structure is invalidated. The trade thesis is wrong. Get out.
PRACTICAL TIP:
Add a few pips buffer beyond the swing to avoid stop hunts. I typically use swing +/- 3-5 pips depending on the pair's spread.
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PART 4: EXIT RULES β TAKE PROFIT
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Take profit when ANY of these conditions occur:
CONDITION A: Structure Shift (Primary Exit)
An L3 swing forms AGAINST your trade direction AND candles flip color.
FOR LONGS: Exit when Azimuth prints an L3 swing HIGH and candles turn RED/NEUTRAL
FOR SHORTS: Exit when Azimuth prints an L3 swing LOW and candles turn GREEN/NEUTRAL
WHY: L3 is a significant structural level. When the market creates an L3 against you and confirms with color change, the move is likely exhausted.
CONDITION B: Black Zone Target (Level-Based Exit)
Price reaches the NEXT significant Black Zone from HTF.
FOR LONGS: Exit at the next Black Zone SUPPLY (resistance) above entry
FOR SHORTS: Exit at the next Black Zone DEMAND (support) below entry
WHY: Institutional zones attract profit-taking. Don't be greedy β take what the market gives you.
CONDITION C: Market Profile Levels (Optional)
If you have Market Profile active, exit at key value levels:
β’ POC (Point of Control) β highest volume node
β’ VAH (Value Area High) β for longs
β’ VAL (Value Area Low) β for shorts
WHY: These levels represent fair value consensus. Price often stalls or reverses here.
EARLY EXIT: Convergence Break
If ANY Oracle flips against your position while in a trade:
β’ Option 1: Tighten stop to breakeven
β’ Option 2: Take partial profits
β’ Option 3: Exit completely if 2+ Oracles flip
Enjoy and get rich!
+C+
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Developing and continually evolving a trading system isn't just a technical task, but rather a personal challenge for me as a trader. I view every strategy as a living organism that needs to be observed, tested in real-world conditions, and purposefully improved, identifying and strengthening its weaknesses. A month ago, I launched live tests for a cluster trading system for gold . Now I'm expanding the trading bot's weaknesses by adding new trading systems.
A trend-based trading system for breaking out extremes for XAUUSD
Opening a position: Take any trend indicator (I use the "AceTrend" indicator) and plot a zigzag on the highs and lows of its trends. We'll open a long position at the previous high and a short position at the previous low. We'll use pending stop orders to open the position.
Position closing and monitoring: we'll use STOP LOSS, TAKE PROFIT, and TRAILING STOP. All values are expressed as percentages of the current symbol price. We'll hold pending orders until the trend reverses.
The system demonstrates the highest stability and combines harmoniously with regular trend-following entries.
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This is an easy trading strategy.
Just follow the arrows.
On M15 charts, we can trade both ways now.
Best pair is GOLD. There're so many Gold traders on Youtube now.
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I want to share one experiment β the fully automatic expert "2MA BlackBox" for XAUUSD (Gold) on the hourly timeframe (H1).
I would like to receive feedback and suggestions for improvement. I will be grateful for the bugs and errors found.
A month ago, testing of the concept of synergy of several trading systems in one robot began. To be honest, the results were amazing! But it's still in the works: longer tests and improvements are needed.
To develop and test the idea, a similar cluster of systems based on the "Moving Average Cross Signal" indicator was assembled.
How do I start testing?
It's simple:
1. Download the free "Moving Average Cross Signal" indicator from the official MQL market.
2. Put his file in the Indicators/Market folder of your MT5.
3. Run the Expert on the XAUUSD, H1 chart.
How does it work, to put it simply?
The magic is all about synergy. Several subsystems have been created based on the same principle:
β’ As soon as the indicator shows the up arrow, we place a pending Buy Stop order just above the maximum of the current candle.
β’ To exit a trade, we use Stop Loss, Take Profit and Trailing Stop.
β’ Pending orders "live" for only one bar (1 hour), if they are not triggered, we delete them.
β’ Each system works independently, meaning one can open a deal even if the other is already in the market.
And what is the synergy here?
The systems were configured in turn so that they could back each other up. If one system failed in a certain market situation, then the next system was "taught" to be stronger in this particular weak spot, slightly increasing its lot at the time of setup. In the finished version, the lot is not increased and all subsystems trade in the same volume. As a result, they work as one well-coordinated team.
That's how it looked in the strategy tester β it looks very encouraging!
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