A intermediate trading strategy well-suited for NSE markets. Uses systematic, rule-based logic to identify high-probability entry and exit points with defined risk on every trade.
Complexity
Intermediate
Easy to implement
NSE Suitability
High
8.2 / 10 score
Timeframe
Daily
Short to medium term
Best For
Swing & Positional Traders
5–15 days moves
Indicators Used
1
SMA
Win Rate (Backtest)
14.3%
Below 50% threshold
Avg Return / Trade
-0.46%
Per trade, after costs
Max Drawdown
-3.4%
Within typical range
Trades / Year
7
Small sample — interpret with caution
About the Smart Money Concept (SMC) Strategy
Smart Money Concept (SMC) attempts to identify institutional order flow by recognizing market structure breaks and liquidity sweeps on price action. The strategy operates on the premise that large market participants create recognizable patterns before moving price in their intended direction, and that retail traders can position themselves ahead of these moves by reading these institutional footprints.
On the NSE, where equity markets exhibit distinct intraday volatility and relatively tight bid-ask spreads during peak hours, SMC proves relevant because institutional players routinely create false breakouts to liquidate retail stops before trending. The strategy works with daily timeframes, which filter out noise while remaining responsive to NSE's volatile opening and closing sessions.
The setup identifies support and resistance levels, then watches for price to break one level sharply only to reverse and sweep liquidity on the opposite side before confirming the real directional move. A Simple Moving Average provides additional confluence for trend direction and entry timing. Traders enter when price returns to the swept level with confirmed directional bias, typically using tight stops beyond the liquidity level. This approach suits NSE equities where volume and volatility allow clean execution within the 3:30 PM market close.
Who This Strategy Is For
This Intermediate strategy suits Swing & Positional Traders comfortable with a Daily timeframe and holding periods around several days. It's built for the Equity segment on NSE, so it fits traders who can check positions without needing intraday execution speed.
Equity Curve (Backtest)
HIGH QUALITY
Tested on: ADANIENT
· 2024-05-13 to 2026-06-30
Total Return
-3.2%
CAGR
-1.7%
Sharpe Ratio
-0.92
Sortino Ratio
-1.38
Calmar Ratio
-0.5
Win Rate
14.3%
NSE Market Fit
8OUT OF 10
Very High Fit
This strategy is well-suited for current NSE market conditions.
Win rate quality Needs Caution
Risk-adjusted return Needs Caution
Drawdown control Excellent
Trade frequency (sample size) Needs Caution
Sharpe ratio Needs Caution
Monthly Returns Heatmap
2024
2025
2026
Jan
—
—
—
Feb
—
—
-0.9%
Mar
—
—
—
Apr
—
—
—
May
—
—
—
Jun
—
-0%
—
Jul
—
-0.5%
—
Aug
-2%
—
—
Sep
—
+1%
—
Oct
-0.8%
—
—
Nov
—
—
—
Dec
—
—
—
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Identify the market context — determine if conditions are trending or ranging, and confirm the higher timeframe direction
2
Wait for the specific entry signal defined by the strategy rules — do not enter without full confirmation
3
Execute with pre-defined stop loss and target — manage the trade according to the exit rules without discretionary override
Entry & Exit Rules
Risk Management Rules
Risk Per Trade
1.0%
of total capital
Min Capital
₹30,000
Hold Period
5–15 days
Segment
Equity, Futures
Common Mistakes to Avoid
⚠️ Price action setups are subjective by nature — the most common mistake is inconsistent rule application from trade to trade. Backtested results assume the rules are followed mechanically, not interpreted loosely.
Full Backtest Report
Backtested on ADANIENT ·
2024-05-13 to 2026-06-30 ·
Capital ₹100,000
Equity Curve
Live tracking coming soon
We're building forward-tested, paper-trade tracking for this strategy so you can see how it performs
on live NSE data — not just historical backtests. Check back soon.
No sample trades added yet for this strategy.
Strategy Parameters
Parameter
Default
Min
Max
Type
Description
ob_lookback
50
20
100
integer
Bars to identify SMC order blocks
fvg_atr
0.5
0.25
2.0
decimal
Minimum fair value gap size in ATR
bos_confirm
1
—
—
boolean
Require BOS before trading SMC setups
atr_stop
1.0
0.5
2.0
decimal
ATR multiple beyond order block for stop
Frequently Asked Questions
Smart Money Concept trading analyzes price through the lens of institutional participant behavior — identifying where large players accumulate (demand zones, order blocks below price), distribute (supply zones, order blocks above price), hunt liquidity (sweeps of obvious highs and lows), and create price displacement (impulsive moves away from order blocks).
A Break of Structure occurs when price makes a decisive close beyond the most recent significant swing high (bullish BOS) or swing low (bearish BOS), confirming a change or continuation in market structure. SMC traders use BOS to define bias — bullish BOS means only taking long setups; bearish BOS means only taking short setups.
Change of Character (ChoCH) is the first sign of a potential trend reversal — price breaking the most recent opposing swing point against the prevailing trend. For example, in a downtrend, the first break above a recent swing high signals ChoCH (potential reversal beginning). BOS then confirms the new trend direction with subsequent structure breaks.
The SMC trade framework: (1) Identify higher timeframe trend via BOS/ChoCH, (2) Wait for a liquidity sweep of obvious highs/lows, (3) Look for market structure shift (MSS) on lower timeframe after sweep, (4) Identify the Order Block that caused the displacement move, (5) Enter on price returning to that order block with confirmation candle, (6) Stop below OB, target next liquidity pool.
Related Strategies
Looking for alternatives? Price Action Trading is a similar Beginner strategy in the same PriceAction category, with High NSE suitability.
MomentumIQ is an educational platform for strategy research and backtesting. We do not provide investment advice, recommendations, or tips. All backtest results are hypothetical, based on historical data, and for educational purposes only. Past performance is not indicative of future results. Backtested results may not account for brokerage, slippage, taxes, or other real-world costs. Please consult a SEBI-registered investment advisor before making any investment decisions.