Why I Only Use Custom Indicators

By Caleb Koome Mwirigi

My Relationship With Standard Indicators Was Never The Problem

Most traders who discover Smart Money Concepts immediately throw every indicator off their chart. No RSI. No MACD. No moving averages. Pure price action only. I understand the impulse — but I never fully agreed with it.

My honest and unpopular opinion is this — standard indicators are not useless. They are just misunderstood. They should never claim to be predictive. They are reactive by design. Their only legitimate role is to agree with your baseline strategy, to confirm the territory and regime for execution, not to lead it. When I was using RSI and MACD alongside basic support and resistance, they worked reasonably well — not because they were telling me something the chart was not, but because they were simply agreeing with what I had already identified. The problem came later, when I developed an SMC-based system built around liquidity, structure, and multi-timeframe confluence — and realised that every standard indicator I had ever used was built on a completely different assumption about how markets move.

That realisation did not make me abandon indicators. It made me build my own.

The Fundamental Conflict Nobody Talks About

Standard indicators and Smart Money Concepts are not just different tools. They are built on opposing beliefs about what the market actually is.

RSI measures the velocity of closes over a lookback period. MACD measures lagged momentum relationships between moving averages. Moving averages smooth historical price data into readable trends. All of them are mathematical tools designed to analyse past price behaviour — statistical, symmetrical, and reactive. SMC is very different. It is built on an institutional, liquidity-driven view of price that asks a completely different question — not what is price doing, but why is price doing it, and where is it engineered to go next.

This is the fundamental conflict. RSI screams overbought while Smart Money logic says price still needs to run liquidity above before the real move begins. MACD crosses bullish directly into higher timeframe supply. Moving averages signal trend continuation after the actual expansion phase is already complete. The indicator sees the visible effect of price movement. SMC attempts to understand the hidden cause behind it. Institutions do not execute based on EMA crossovers. They execute based on liquidity availability, structural acceptance, and order flow conditions — none of which a standard indicator was ever designed to measure.

Trying to apply SMC with standard indicators is like trying to read institutional intent with tools built for generalised retail momentum analysis. They are not speaking the same language.

Why The DAF Was Built

The Directional Authority Framework did not come from frustration. It came from recognising a missing piece.

I was already trading with SMC. I already understood liquidity, order blocks, CHOCH, and BOS. But I kept facing the same problem that every discretionary SMC trader eventually confronts — false directional confidence across fragmented timeframes. I could be bullish on the higher timeframe, see a valid structure on the mid timeframe, and still enter into a lower timeframe that was not genuinely participating in the move. The bias felt right. The entry looked clean — and price still went against me because the timeframes were not truly in agreement. They just appeared to be.

The question I needed answered was precise — does price currently have enough multi-timeframe authority to justify directional participation, or is the market structurally incomplete?

No standard indicator could answer that. So the work began — nearly a full week of writing commands, building logic, and converting the entire framework into TradingView code. The first layer was timeframe alignment. The second was displacement confirmation — no displacement, no alignment, no trade. The system was tailor-fitted to existing SMC confluences from the ground up, which meant the back-testing phase, once launched, was clean because the pairs were already defined and the conditions were already specific.

How The DAF Actually Works

I will be honest with you — I am not going to explain the full mechanics here.

Not because it is overly complicated. But because the framework is tailor-fitted to a very specific system, a very specific set of confluences, and a very specific way of reading the market that took nearly a year to develop and refine. Laying it out completely in an article would be like handing someone a key without teaching them which door it opens or why.

What I can tell you is what it measures — not momentum, not averages, not historical closes. It measures directional authority. Whether the market has genuinely earned the right to be traded in a specific direction across multiple layers of price behaviour simultaneously.

The output is simple. Either the market qualifies or it does not. Either participation is permitted or it is not. There is no grey area and there is no override.

That simplicity on the surface is the result of significant complexity underneath — and that complexity is what makes it worth protecting.

If you are genuinely curious about the framework, how it was built, and whether it could be adapted to your own system — my DMs are open.

What Actually Changed Day To Day

Trading with DAF versus standard indicators did not just improve my entries. It ended the internal conflict that makes discretionary trading so mentally exhausting.

With standard indicators, there was always a layer of uncertainty. RSI oversold while structure was still bearish. MACD crossing bullish directly into a liquidity pool. The chart crowded with reactions to price instead of explanations of intent. Every session required interpreting multiple conflicting tools simultaneously and somehow arriving at a clean decision. That is not a trading process. That is noise management dressed up as analysis.

DAF collapsed all of that into one question — has the market achieved synchronized directional agreement across the full auction hierarchy? When the answer is yes, the trade is permitted. When the answer is no, there is nothing to discuss. No Trade — Alignment Incomplete became just as valuable as a valid setup because it prevented forced participation inside structurally weak conditions. The confidence that replaced the noise did not come from predicting the market perfectly. It came from knowing the system only permits trades when multiple layers of price behaviour are genuinely in agreement.

Less mental noise. Less overtrading. Less emotional fatigue. More clarity. More patience. More precision.

What I Would Tell The Trader Drowning In Indicators

If your framework is built around Smart Money Concepts — around liquidity, structure, institutional behaviour, and order flow — then your tools need to measure those things. Not momentum. Not moving average relationships. Not overbought and oversold conditions derived from historical closes.

You do not have to build what I built. But you do need to ask whether the tools you are using were designed to understand the same market you are trying to trade. Most off-the-shelf indicators were built for a generalised retail momentum approach. They were never designed to measure liquidity engineering, inducement, structural acceptance, or multi-timeframe directional authority.

An indicator that does not speak the language of your strategy is not a confluence. It is just noise with a colour.

Build tools that agree with your playbook — or find tools that already do. Everything else is just getting in your own way.

Caleb Koome Mwirigi is a Nairobi-based independent forex trader and freelance data specialist. He writes about trading, financial markets, discipline, and building something from nothing in Africa. Connect with him onwww.linkedin.com/in/caleb-koome-9868132a9