Re: 👨‍🔬 Cagliostro's MT5 Laboratory

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whiteadrian23 wrote: Mon Mar 02, 2026 1:15 am Will new indicators and features be integrated into Azimuth Pro or are these standalone? Thanks
Yes, this is definitively the roadmap. Soon free version will be released for everyone's benefit.

The professional versions will need more time as they have different implementations and features.
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"I conjure from shadows and shape fortunes from the unseen. The treasure lies hidden in plain sight, beneath the sunlight." - Cagliostro

Re: 👨‍🔬 Cagliostro's MT5 Laboratory

285
Thank you so much for your great work. Looking forward to trying the new indicators. Best regards! :In Love:
Cagliostro wrote: Tue Feb 24, 2026 7:22 am Hello fellow traders!

I have been quiet in the last period, but silence does not mean lack of advancements. I want just to share that something exciting will come up in the next weeks. Two new indicators are facing the last step of live validation process.

Meridian is a nextgen trend identification indicator that has been created by joining DSP techniques (similar to Elher's filters but created on purpose to filter price noise) with 4 engines that track volatility, strength, structure and exhaustion. It's the firstborn of a new breed of synthetic models.
Oracle V2 (it will likely change name as its DNA is pretty different from the original Oracle) packs 3 complex algos (momentum, trend, volume) into a monolithic architecture to provide the best analysis tool for any strategy.


image_2026-02-23_211304722.png


Stay tuned <3

+C+

Re: 👨‍🔬 Cagliostro's MT5 Laboratory

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MERIDIAN TREND — Nextgen Adaptive Trend Detection


The Problem
Every trend indicator you've used suffers from the same structural deficiency: it treats volatility as a constant.
You calibrate it on EURUSD. It works. You put it on BTCUSD and the line is either permanently attached to price or permanently detached. You switch to NAS100 and the parameters need to change again. That is not the indicator adapting to the market — that is you adapting the indicator to every instrument, every timeframe, every regime, manually, forever.

The failure is not in the moving average. The failure is in how volatility is measured and applied.

The Research Path
Meridian Trend was born from a specific question in quantitative research: can a single trend-following filter operate identically across asset classes without per-instrument calibration?
The conventional approach to "adaptive" indicators is to scale a moving average by some function of ATR or standard deviation measured against price. This creates an immediate dependency: the envelope width is a function of the absolute price level, which means the sensitivity of the indicator is inherently different on a 1.0800 forex pair versus a 40,000 index. You are always fighting the scale problem.
The breakthrough came from inverting the frame of reference. Instead of measuring volatility relative to price, Meridian measures volatility relative to its own statistical behavior. The instrument's recent volatility is contextualized against its own rolling distribution — not against the price series. This produces a self-normalizing metric: the same parameter set generates comparable sensitivity on any instrument at any price level, because the adaptive layer is operating in a dimensionless space.
This concept is well-established in quantitative finance literature (volatility-of-volatility modeling, z-scored regime metrics), but it is rarely applied at the indicator level in retail trading. Meridian implements it as the core engine, not as an afterthought.

Three Engineering Layers
Layer 1 — Self-Referential Volatility Normalization
The adaptive engine computes a real-time volatility ratio — where the instrument stands relative to its own recent volatility regime. When volatility contracts, the envelope tightens. When it expands, the envelope widens. The critical difference is that this adjustment is relative and dimensionless: it does not depend on whether the instrument trades at 1.08 or 42,000. One configuration, every asset, every timeframe. No recalibration.

Layer 2 — Directional Ratchet Mechanism
Once the trend direction is established, the trend line operates as a one-way ratchet: in a bullish phase, it can only advance upward — it will never retrace during a normal pullback. In a bearish phase, the opposite. This eliminates the visual flickering and false reversals that plague standard envelope and SuperTrend-class indicators. The trader remains positioned through noise without requiring manual judgment about whether a pullback "counts."
The ratchet is not a simple max/min filter. It interacts dynamically with the volatility layer: the ratchet step size adapts in real time, which means the indicator handles both low-volatility drift and high-volatility impulse moves with the same parameter set.

Layer 3 — Momentum-Gated Signal Confirmation
Raw price-envelope crossovers generate excessive signals in transitional and ranging markets. Meridian adds a momentum gate: the ribbon changes state only when a directional pressure metric confirms the crossover is structurally genuine, not noise-driven. This layer materially reduces whipsaw entries — the signals that cost real money.
The gating logic was selected through systematic evaluation across multiple momentum candidates on a 59-symbol universe spanning Forex, Metals, Indices, Crypto, and Energy, using strictly out-of-sample validation with purged walk-forward methodology. The specific gate that survived is not an arbitrary choice — it is the one that demonstrated robust filtering across asset classes and timeframes in controlled testing.

What It Replaces
If you are currently using any of these, Meridian Trend is a direct upgrade:

SuperTrend — The original ATR envelope. Fixed multiplier, no volatility adaptation, no momentum filtering. Every parameter change is a manual recalibration. SuperTrend on EURUSD M15 with mult=3.0 behaves nothing like SuperTrend on BTCUSD H1 with the same settings. You end up maintaining a spreadsheet of "best parameters" per instrument. Meridian's self-normalizing volatility engine eliminates this entirely — and the momentum gate filters the crossovers that SuperTrend fires blindly into ranging markets.

Half Trend — Visually clean, structurally naive. No volatility adaptation whatsoever. The fixed-period envelope produces acceptable results on one instrument in one regime, then fails silently when conditions change. No momentum confirmation means every minor pullback in a range generates a signal. Meridian keeps the visual clarity and adds the adaptive intelligence that Half Trend lacks.

Coral Trend / SSL Channel — Moving average crossover systems dressed up as trend indicators. They smooth price, they do not adapt to volatility. The lag is constant regardless of market regime: too slow in breakouts, too reactive in chop. The fundamental architecture — two lagged averages crossing — cannot solve the cross-asset problem because it has no volatility awareness layer.

Trend Magic / Magic Trend — CCI-gated envelope variants. The CCI gate is an improvement over raw crossovers, but CCI itself is not normalized across instruments: a CCI reading of +100 on a low-volatility forex pair and on a crypto pair represent entirely different market states. The gate fires inconsistently across asset classes. Meridian's momentum gate was specifically selected for cross-asset robustness through systematic OOS testing on all markets.

Parabolic SAR — Acceleration factor produces exponentially tightening stops that guarantee exit on any pullback of sufficient depth. By design, it cannot hold through normal retracements in a trending market. Useful as an exit mechanism, structurally flawed as a trend identifier. Meridian's ratchet mechanism advances monotonically in the trend direction without the self-destructing acceleration behavior.

Heiken Ashi smoothed + envelope combinations — Multiple layers of smoothing to reduce noise, but each layer adds lag and none of them address the core problem: the envelope width is still a function of absolute price or fixed ATR, not of the instrument's own volatility regime. You stack complexity without solving the normalization problem.

The common thread: none of these indicators normalize volatility against the instrument's own statistical behavior. They all measure volatility in absolute terms (or ignore it entirely), which means they all require per-instrument tuning, and they all degrade silently when the volatility regime shifts. Meridian was engineered specifically to eliminate this class of failure. I have years of data showing the edge vs similar indicators and moving averages, but will let you do the testing and enjoy the results ;)

What You See on the Chart
A colored ribbon between the trend line and its lagged offset. Direction is immediate and unambiguous: one color for bullish, another for bearish. A single arrow at each confirmed trend change. No subwindow, no auxiliary panel, no clutter. The trend and nothing else. strictly no repainting.

Traditional 18 professional color themes are included, together with full alert system.

An advanced version is also available with multi-timeframe intelligence, conviction scoring, evidence panels, and portfolio scanning capabilities. But the directional engine itself stands on its own and am happy to share it with the community.

Enjoy <3
+C+
"I conjure from shadows and shape fortunes from the unseen. The treasure lies hidden in plain sight, beneath the sunlight." - Cagliostro

Re: 👨‍🔬 Cagliostro's MT5 Laboratory

287
Cagliostro wrote: Mon Mar 02, 2026 8:26 pm MERIDIAN TREND — Nextgen Adaptive Trend Detection
Damn, we are truly blessed with so many smart and selfless individuals here at forex-station! :In Love: :clap:
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Re: 👨‍🔬 Cagliostro's MT5 Laboratory

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VECTOR CONSENSUS DIVERGENCE (VCD)
A new slope-based divergence concept under testing in the latest version of The Oracle

We are currently testing a new concept in the latest version of The Oracle called VCD = Vector Consensus Divergence. In short, VCD is an attempt to rethink classical divergence in a more structural way.

Instead of comparing:
  • price pivots
  • vs a single oscillator pivot
VCD compares:
  • the slope of price
  • against the slope of internal consensus
So rather than asking whether one oscillator confirmed the last pivot, the model asks whether price is still extending while the underlying directional consensus is already deteriorating.

This is interesting because classical divergence is structurally tied to pivot confirmation, which always requires future bars.
That usually means a trade-off between:
  • more confirmation = more lag
  • less confirmation = more repaint risk
VCD tries to approach the same problem using closed-bar slope analysis, which is more causal and less dependent on discretionary pivot detection. To be clear, we do not view VCD as a magical reversal predictor.

A better description would be:
an early warning of trend fatigue / consensus erosion.

There is a substantial amount of scientific and quantitative research behind this concept, and for anyone interested in the theoretical side, a whitepaper is attached below for deeper reading. At the moment this is only being tested in the newest Oracle build.

Question for you guys:
Would there be interest in exploring the same VCD logic on more standard tools as well, such as RSI, MACD, CCI, or Stochastic?

For example, one possible extension would be to apply the same logic to a multi-period RSI stack rather than a single RSI line:
RSI(5), RSI(14), RSI(21), RSI(34)

In that case, divergence would no longer mean simply:
"price makes a higher high while RSI makes a lower high"

It could instead mean:
"price is still extending, while the internal RSI slope consensus is already weakening across multiple speeds"

That would make the concept more structural and less dependent on a single lookback setting.
If there is interest, we can share more charts and research notes.

+C+ <3
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"I conjure from shadows and shape fortunes from the unseen. The treasure lies hidden in plain sight, beneath the sunlight." - Cagliostro