Analysis methods

Smart Money Technique

ICT Smart Money Concepts — reading where price is likely being delivered next, from liquidity and inefficiencies.

What Smart Money technique is

Smart Money technique follows the Smart Money Concepts developed by Michael J. Huddleston (ICT). It treats the chart as a record of price delivery: where resting liquidity sits, which inefficiencies remain open, and whether the market is in premium or discount inside the current dealing range.

The objective is not to guess whether a coin “goes up or down.” It is to interpret the most likely next draw on liquidity. A technically clean idea is still a bad trade if risk is excessive. If there is no clear target, no meaningful PD Array, no displacement, or poor premium/discount positioning, the correct verdict can be Wait.

Core ideas

The article uses ICT language only when the candles support it. Levels are not invented to force a setup.

  • Market structure, Market Structure Shifts (MSS), and Change in State of Delivery (CISD)
  • Displacement; accumulation, manipulation, and distribution (Power of Three)
  • Dealing ranges with 0.25 discount, 0.50 equilibrium, and 0.75 premium
  • Buy-side and sell-side liquidity (BSL / SSL), equal highs and lows, session and calendar highs and lows
  • Draw on Liquidity (DOL) — the most likely liquidity target
  • PD Arrays: fair value gaps, order blocks, breaker / mitigation / rejection blocks, volume imbalances, and balanced price ranges
  • Whether each array is fresh, partly mitigated, or fully mitigated

How a Smart Money article is structured

Deep Smart Money articles follow a fixed order: higher-timeframe narrative, liquidity, PD Arrays, premium/discount, market structure, inefficiencies, draw on liquidity, primary and alternative scenarios, an optional trade setup, risk, and a final verdict (Bullish, Bearish, Neutral, or Wait).

A trade setup appears only when the delivery is clear. It is a conditional scenario — entry, stop, targets, risk/reward, and invalidation — not advice and not a guarantee.

When Bankomat uses Smart Money

Smart Money is available as a Deep analysis type. Editors choose it in the admin Deep analyze action. It uses the deep model, searches the public web for context, and does not replace ICT sections with classical indicator commentary.

The same risk rules apply at any account size. Trade risk is kept separate from account and portfolio risk. Risk is never increased simply because the account is larger.

What this is not

Liquidity is not generic support and resistance. PD Arrays are not generic supply and demand. MSS is not every break of structure. A fair value gap is not every three-candle gap. Premium and discount are not overbought or oversold readings.

The analysis is instructed not to invent order blocks, gaps, liquidity, or entries just to produce a signal. Understanding delivery matters more than forcing a trade.

This is informational analysis, not investment advice and not a profit guarantee. Crypto assets are high risk; past data does not guarantee future results.