Crypto in the language of data.
A system, not signals.

An example of a quiet issue. Not every week gives a trade, and saying so honestly is part of the job.

What the chart shows

ADX is asleep, the EMA 12/24/48 fan has twisted into a flat rope, and candles have long wicks both ways. The ADX + MLMI + WTMO stack does not agree.

What the score says

Decision Score sits at 60–74: the setup is raw and trading is off. Instead of an entry, we set a price alert at VAH/VAL or at a liquidation pool.

Our plan

No positions. We wait for the market to leave balance and the score to reach 75+, and save our energy for the week that matters.

Accounts usually blow up not from a bad entry but from the wrong size: a tight stop "by eye" to get a bigger position, and the market's normal breathing takes it out.

A stop from volatility

The stop-loss is derived from ATR, and the position size is derived from the stop distance. Risk per trade is no more than 1% of the account: $50 on a $5,000 account. If ATR doubles, the stop in percent is twice as wide and the size is halved. The dollar risk stays the same.

Four tranches

The planned size is split 10% → 20% → 30% → 40%. The first 10% scouts when the setup appears, 20% and 30% come in on confirmation at the value area or the EMA fan, and the last 40% when the indicator stack confirms the impulse. Risk/reward is at least 1:2, ideally 1:3.

After a loss

Two stops in a row: risk drops to 0.5% and the checklist gets audited. Never increase size to win it back.

Big money enters crypto through BTC and spot ETFs, flows into ETH, then into large and mid caps, and only reaches small caps in the euphoria stage.

Guide and amplifier

We read direction from Bitcoin: its structure is heavier and harder to manipulate. We trade a list of 10 liquid altcoins with a correlation to BTC above 0.75. When BTC moves +1%, these coins often move +4–5% the same way.

It works both ways

The amplification works on the way down too. That is why position size comes from volatility, not from going all in.

Every morning

BTC phase on 4H and 1H → the list of coins with correlation > 0.75 → which ones moved in sync with the last hourly impulse → 3–5 candidates for the ATR screen.

Even among coins highly correlated to BTC, charts differ a lot on any given day: some move in waves, others draw a fence of wicks and take out stops on both sides.

The routine

Minutes 1–3: sort the list by 1H ATR. Minutes 4–6: ZigZag, are there 3–4 readable waves with room of more than 3–4 ATR. Minutes 7–9: audit the last 48 hours of candles. Minute 10: 1–2 assets of the day go on the worksheet.

Clean candles

Long wicks both ways signal a thin order book and a hunt for liquidity. We skip that coin for the day, even if it is flying.

Three green signals from RSI, MACD and Stochastic are the same momentum reading three times. We call it the indicator zoo.

Three keys and a fourth

ADX tells you whether there is a trend and whether it is getting stronger. MLMI shows which way the dominant structure points. WTMO shows when the pullback is spent and acceleration begins. The fourth element is liquidation zones: where the crowd's stops sit and where to place the take-profit.

The rule

Enter only when every element agrees on the working timeframe. If ADX is asleep while WTMO draws a pretty signal, we sit on our hands.