Smart Money Concepts
ProprietaryA modern vocabulary for a century-old idea, taught largely through paid courses.
Emerged online in the 2010s. Its substance descends from Wyckoff's work of the 1910s.
What it claims
Almost all of this is taught on forex and index futures. NEPSE has no 24-hour session, no derivatives market and far thinner order books. That large institutional orders leave identifiable zones on a chart, that price tends to return to those zones, and that retail traders are predictably positioned on the wrong side of them.
How it works
- 1Order blocks: zones where large orders are presumed to have been placed, expected to matter if revisited.
- 2Fair value gaps: gaps between candle wicks treated as imbalances price will return to fill.
- 3Liquidity sweeps: moves just past an obvious high or low, where stops cluster, before reversing.
- 4Break of structure and change of character: reading swing highs and lows for continuation or reversal.
- 5Premium and discount: splitting a range at its midpoint and treating the halves as expensive and cheap.
What is genuinely new, and what is not
Smart Money Concepts emerged in online trading communities in the 2010s, mostly taught through video and paid courses. Its observations are largely sound. Almost none of them are new.
| SMC term | What it describes | Earlier name |
|---|---|---|
| Order block | A zone where large orders were placed | Wyckoff accumulation / distribution range |
| Liquidity sweep | A push past a high to trigger stops | Wyckoff shakeout / spring |
| Smart money | Large, informed participants | Wyckoff's composite operator |
| Fair value gap | A gap the market returns to fill | The long-standing observation that gaps fill |
| Break of structure | A move past a prior swing point | Dow's higher highs and higher lows |
This is not a criticism of the ideas. It is context for judging what a course is selling you: a clearer vocabulary for observations that are a century old and free to read.
Order blocks and fair value gaps
Order block and fair value gap
An order block is the last opposing candle before a strong move — the idea being that large orders were absorbed there, and that unfilled orders remain, so price returning to the zone should meet them again.
A fair value gap is a three-candle formation where the first and third candles' wicks do not overlap, leaving a gap. The claim is that this represents an imbalance and price tends to return to fill it.
Liquidity
The most useful idea in the whole framework is also the simplest: stop-loss orders cluster in obvious places, just beyond recent highs and lows, because that is where everybody puts them.
Liquidity sweep
A move that pushes just past an obvious level and immediately reverses is called a liquidity sweep. Whether this is deliberately engineered by large participants, or simply what happens when a cluster of stops is triggered and the resulting orders are absorbed, is not something a chart can settle.
You do not need the conspiracy version for the practical lesson, which is worth having: a stop placed exactly where everyone else's stop sits is more likely to be hit.
How to use it without being taken in
- There is no agreed definition of any of these terms. Two teachers will mark different zones on the same chart. Ask what would falsify a marking.
- Read the source. Wyckoff's 1910 book is free on this site and describes most of the same behaviour, with reasoning rather than jargon.
- Test before trusting. Any rule specific enough to trade is specific enough to check against history.
- Be careful with anyone selling access. A framework with no standard and no evidence base, sold as a system, deserves scepticism regardless of how confident the teaching is.
How much weight it can carry
The underlying observations are sound and old: large orders cannot be filled at once, stops cluster at obvious levels, and gaps often fill. Wyckoff wrote all of that down over a century ago, and his book is free on this site. What is new is the vocabulary, much of it sold through paid courses. Two things to keep in mind: every 'order block' is inferred from the chart, never observed order data — nobody outside the exchange can see who bought — and the terms have no agreed definition, so two teachers will mark different zones on the same chart.
Proprietary. Taught commercially, with no independent standard, no agreed definitions and no published evidence base. Worth understanding; worth knowing what it is.
On NEPSE specifically
Most SMC material is taught on forex and index futures, which trade continuously with deep liquidity. NEPSE trades four hours a day with circuit limits and thin books, so the gaps and sweeps the method depends on behave differently here. Do not assume the setups transfer.
Read the source
Rather than take our summary on trust, check it against what the author wrote.
The vocabulary
The 9 terms you need to follow any discussion of this method.
- Smart Money Conceptsalso: SMC
- A modern repackaging of Wyckoff-style ideas about where large orders sit, taught largely through paid courses and video. Its vocabulary is new; the underlying observations are a century old.
- Smart money
- Informed, well-capitalised participants, as opposed to the retail crowd. A useful frame, but nobody can actually see who is buying — it is inferred from price and volume.
- Order block
- In smart-money terminology, a price zone where large orders are presumed to have been placed, expected to matter again if revisited. It is an inference from the chart, not observed order data.
- Fair value gapalso: FVG, imbalance
- A gap between candle wicks that some traders treat as an imbalance price will return to fill. A restatement of the older idea that gaps tend to get filled.
- Liquidity sweepalso: Stop hunt
- A move that pushes just beyond an obvious high or low — where stop orders cluster — before reversing.
- Break of structurealso: BOS
- A move past a prior swing high or low, read as the trend continuing.
- Change of characteralso: CHoCH
- The first failure to make a new high or low in the prevailing direction, read as a possible trend change.
- Premium and discount
- Splitting a price range at its midpoint and treating the upper half as expensive and the lower half as cheap.
- Wyckoff method
- Richard Wyckoff's 1910s framework for reading a chart as the footprints of large operators: accumulation, markup, distribution, markdown.
What the research says
12 paperson arXiv’s quantitative-finance archive that bear on this method. Preprints, so not all are peer-reviewed — read them as evidence to weigh, not as verdicts.
Read these carefully. They study order flowin the academic sense — measurable buy and sell imbalance in exchange data. That is not the same thing as the retail “smart money” material taught in paid courses, and their findings should not be taken as validating it.
- Returns and Order Flow Imbalances: Intraday Dynamics and Macroeconomic News Effects↗
Makoto Takahashi · 2025
We study the interaction between returns and order flow imbalances in the S&P 500 E-mini futures market using a structural VAR model identified through heteroskedasticity. The model is estimated at one-second frequency for each 15-minute interval, capturing both intraday variation and endogeneity due to time aggreg…
- Stochastic Price Dynamics in Response to Order Flow Imbalance: Evidence from CSI 300 Index Futures↗
Chen Hu, Kouxiao Zhang · 2025
We conduct modeling of the price dynamics following order flow imbalance in market microstructure and apply the model to the analysis of Chinese CSI 300 Index Futures. There are three findings. The first is that the order flow imbalance is analogous to a shock to the market. Unlike the common practice of using Hawkes p…
- Forecasting High Frequency Order Flow Imbalance↗
Aditya Nittur Anantha, Shashi Jain · 2024
Market information events are generated intermittently and disseminated at high speeds in real-time. Market participants consume this high-frequency data to build limit order books, representing the current bids and offers for a given asset. The arrival processes, or the order flow of bid and offer events, are asymmetr…
- Hybrid Vector Auto Regression and Neural Network Model for Order Flow Imbalance Prediction in High Frequency Trading↗
Abdul Rahman, Neelesh Upadhye · 2024
In high frequency trading, accurate prediction of Order Flow Imbalance (OFI) is crucial for understanding market dynamics and maintaining liquidity. This paper introduces a hybrid predictive model that combines Vector Auto Regression (VAR) with a simple feedforward neural network (FNN) to forecast OFI and assess tradin…
- Cross-Impact of Order Flow Imbalance in Equity Markets↗
Rama Cont, Mihai Cucuringu, Chao Zhang · 2021
We investigate the impact of order flow imbalance (OFI) on price movements in equity markets in a multi-asset setting. First, we propose a systematic approach for combining OFIs at the top levels of the limit order book into an integrated OFI variable which better explains price impact, compared to the best-level OFI. …
- The Price Impact of Generalized Order Flow Imbalance↗
Yuhan Su, Zeyu Sun, Jiarong Li, Xianghui Yuan · 2021
Order flow imbalance can explain short-term changes in stock price. This paper considers the change of non-minimum quotation units in real transactions, and proposes a generalized order flow imbalance construction method to improve Order Flow Imbalance (OFI) and Stationarized Order Flow Imbalance (log-OFI). Based on th…
- Empirical Study of Market Impact Conditional on Order-Flow Imbalance↗
Anastasia Bugaenko · 2020
In this research, we have empirically investigated the key drivers affecting liquidity in equity markets. We illustrated how theoretical models, such as Kyle's model, of agents' interplay in the financial markets, are aligned with the phenomena observed in publicly available trades and quotes data. Specifically, we con…
- Market Impact in Trader-Agents: Adding Multi-Level Order-Flow Imbalance-Sensitivity to Automated Trading Systems↗
Zhen Zhang, Dave Cliff · 2020
Financial markets populated by human traders often exhibit "market impact", where the traders' quote-prices move in the direction of anticipated change, before any transaction has taken place, as an immediate reaction to the arrival of a large (i.e., "block") buy or sell order in the market: e.g., traders in the market…
- Multi-Level Order-Flow Imbalance in a Limit Order Book↗
Ke Xu, Martin D. Gould, Sam D. Howison · 2019
We study the multi-level order-flow imbalance (MLOFI), which is a vector quantity that measures the net flow of buy and sell orders at different price levels in a limit order book (LOB). Using a recent, high-quality data set for 6 liquid stocks on Nasdaq, we fit a simple, linear relationship between MLOFI and the conte…
- Optimal Execution with Dynamic Order Flow Imbalance↗
Kyle Bechler, Mike Ludkovski · 2014
We examine optimal execution models that take into account both market microstructure impact and informational costs. Informational footprint is related to order flow and is represented by the trader's influence on the flow imbalance process, while microstructure influence is captured by instantaneous price impact. We …
- Market impact as anticipation of the order flow imbalance↗
Thibault Jaisson · 2014
In this paper, we assume that the permanent market impact of metaorders is linear and that the price is a martingale. Those two hypotheses enable us to derive the evolution of the price from the dynamics of the flow of market orders. For example, if the market order flow is assumed to follow a nearly unstable Hawkes pr…
- The Price Impact of Order Book Events↗
Rama Cont, Arseniy Kukanov, Sasha Stoikov · 2010
We study the price impact of order book events - limit orders, market orders and cancelations - using the NYSE TAQ data for 50 U.S. stocks. We show that, over short time intervals, price changes are mainly driven by the order flow imbalance, defined as the imbalance between supply and demand at the best bid and ask pri…
Metadata from arXiv, which places it in the public domain under CC0 1.0. The papers themselves remain at arXiv.