Swing Trade ShabaFlow

Swing Trade ShabaFlow is a multi-timeframe market analysis indicator for MetaTrader 5 designed to organize trend, structure, momentum, probability and trade timing information into a single visual framework.

The indicator follows a top-down analytical structure:

H1 Context → M15 Direction → M5 Setup → M1 Trigger

Rather than relying on a single technical indicator, Swing Trade ShabaFlow evaluates several independent market components and combines them into Bull and Bear confluence scores. The final dashboard presents the prevailing market condition as BUY, SELL or WAIT, allowing the trader to make the final trading decision using their own risk-management rules.

Main Features

H1 Market Context – evaluates the broader market environment and channel structure.

M15 Chandelier Direction – identifies the dominant directional condition using volatility-adjusted market structure.

Momentum Engine – evaluates directional momentum and its relationship with the prevailing market state.

M5 Price Structure – examines price location and structure within the setup timeframe.

DLS, Order Block and Fair Value Gap Analysis – identifies selected displacement, order-block and imbalance conditions that may support a developing setup.

MOI and Kinetic Energy – measures the strength and displacement characteristics of the current market movement.

M1 Trigger Engine – provides lower-timeframe timing information after higher-timeframe conditions have been evaluated.

Multi-Timeframe Markov Model – estimates the probability of the next M15 market state conditional on the current M15 state and H1 market state:

P(S(M15,t+1) | S(M15,t), S(H1,t))

The Markov module classifies the market into five states ranging from strong bearish to strong bullish. The dashboard reports directional probability, historical support and market resilience so that probability estimates can be interpreted together with the amount of historical evidence supporting them.

Market Resilience

Swing Trade ShabaFlow extends the Markov analysis with a resilience measure. This evaluates the persistence, recovery and defensive characteristics of the current directional regime. It is intended to distinguish a directional probability supported by persistent market behaviour from a weaker or less stable condition.

Confluence Scoring

Each analytical module contributes to the Bull or Bear score according to its role in the trading framework. The combined score provides a normalized view of multi-timeframe agreement.

The indicator distinguishes between:

BUY – bullish conditions satisfy the configured confluence requirements.

SELL – bearish conditions satisfy the configured confluence requirements.

WAIT – available conditions do not yet satisfy the required directional agreement.

A WAIT condition is an important part of the system and is intended to help distinguish incomplete setups from conditions where multiple analytical components are aligned.

Candle Colouring

Historical and current candles can be coloured according to the calculated directional bias. Bullish confluence is represented by Lime candles, bearish confluence by Red candles, while neutral conditions retain a neutral colour.

Designed for Top-Down Analysis

Swing Trade ShabaFlow is primarily designed around multi-timeframe analysis:

H1 – Context

M15 – Direction and probabilistic state

M5 – Setup and price structure

M1 – Entry timing

The indicator can be applied to compatible MetaTrader 5 symbols where sufficient historical data is available for the selected timeframes.

Important

Swing Trade ShabaFlow is an analytical indicator and does not guarantee future market direction or trading results. Markov probabilities are statistical estimates derived from historical state transitions and should not be interpreted as certainty. The indicator does not replace appropriate position sizing, stop-loss management or independent trading judgement


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TREND CATCHER INDICATOR Trend Catcher Indicator analyzes market price movements, using a combination of the author’s proprietary and customized adaptive trend-analysis indicators.  It identifies the true market direction by filtering out short-term noise and focusing on underlying momentum strength, volatility expansion, and price structure behavior.  It also uses a combination of smoothing and trend-filtering customized indicators such as moving averages, RSI, and volatility filters.   Real ope
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