Intermediate★ Very High NSE Fit1-Min / 5-Min9/10 Popularity
A intermediate scalping strategy targeting small, rapid price moves on NSE intraday charts. Requires full-time screen attention but produces high trade frequency with defined risk on each entry.
Complexity
Intermediate
Easy to implement
NSE Suitability
Very High
9.2 / 10 score
Timeframe
1-Min / 5-Min
Short to medium term
Best For
Full-time Scalpers
5–15 days moves
Indicators Used
2
Price Action, Volume
Win Rate (Backtest)
20.6%
Below 50% threshold
Avg Return / Trade
-0.05%
Per trade, after costs
Max Drawdown
-4.5%
Within typical range
Trades / Year
34
Statistically reasonable sample
About the Tick Chart Scalping Strategy
Tick Chart Scalping is a momentum strategy that captures short-term price moves generated by rapid shifts in buying and selling pressure. On the NSE, this approach exploits the natural microstructure of liquid large-cap stocks during peak trading hours, particularly the opening hour and the final hour before market close when volatility clusters and institutional order flow becomes pronounced. The strategy monitors price action at the tick level or across very short timeframes of one to five minutes, looking for setups where volume surges coincide with directional breakouts from consolidation zones or support and resistance levels. A typical setup involves identifying a period where price trades within a narrow range, then entering when volume expansion pushes price decisively beyond that range. Exits are governed by either profit targets set at nearby resistance or support, or when momentum visibly deteriorates. The NSE's structure—with its high liquidity in stocks like Nifty constituents and volatile intraday patterns—makes it well-suited to this approach. Traders using this method must manage risk tightly given the rapid execution required and the compressed profit targets inherent to scalping timeframes.
Who This Strategy Is For
This Intermediate strategy suits Full-time Scalpers comfortable with a 1-Min / 5-Min 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: ONGC
· 2024-05-13 to 2026-06-30
Total Return
-1.8%
CAGR
-0.9%
Sharpe Ratio
-0.4
Sortino Ratio
-0.6
Calmar Ratio
-0.2
Win Rate
20.6%
NSE Market Fit
9OUT 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) Excellent
Sharpe ratio Needs Caution
Monthly Returns Heatmap
2024
2025
2026
Jan
—
—
-1%
Feb
—
—
+0.2%
Mar
—
—
+0.5%
Apr
—
—
—
May
—
-0.4%
—
Jun
—
+1.3%
—
Jul
+1.9%
-0.5%
—
Aug
-0.8%
-0.2%
—
Sep
-0.2%
-0.3%
—
Oct
-1.7%
+1%
—
Nov
-1.3%
0%
—
Dec
-0%
-0.3%
—
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Identify the intraday trend direction using VWAP or EMA on the 1-minute or 5-minute chart
2
Wait for a pullback to the key level — enter on the first rejection candle showing momentum resumption
3
Exit at the next micro-resistance or after a fixed target of 0.2–0.5% — stop loss is tight, just below the entry candle low
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
⚠️ Momentum strategies can give back gains quickly once momentum fades. A common error is not tightening stops as profits build, which lets a winning trade round-trip back to breakeven or a loss.
Full Backtest Report
Backtested on ONGC ·
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
The exact rules and default values this strategy uses — adjust them when you run a full backtest.
Parameter
Default
Min
Max
Type
Description
ticks_per_bar
100
50
500
integer
Number of ticks to form each chart bar
ema_period
9
5
21
integer
EMA period on tick chart for trend
target_ticks
8
3
30
integer
Profit target in ticks per scalp
stop_ticks
4
2
15
integer
Stop loss in ticks from entry
Frequently Asked Questions
Tick Charts form a new candle after a fixed number of trades (ticks) occur rather than after a fixed time period, meaning candles form faster during high-activity periods and slower during quiet periods. This activity-normalized view can reveal momentum patterns obscured on time-based charts where candles vary greatly in trading activity.
Tick counts of 100-300 ticks per bar are commonly used for NSE Nifty futures scalping, providing sufficient trade aggregation to reduce noise while forming bars frequently enough for active scalping. The exact count requires calibration to your broker's tick data definition, as some platforms count each quote change as a tick while others count only executed trades.
Fast EMA crossovers (3/8 or 5/13 period), momentum divergences that appear on tick charts before becoming visible on 1-minute charts, and volume-weighted patterns that are cleaner on tick charts (since each candle represents equal trading activity rather than equal time) work particularly well for tick-based NSE scalping.
Data requirements (clean real-time tick data is expensive and requires reliable feed), platform requirements (not all retail broker platforms support tick charts), and the sheer concentration required for the pace of trading make tick chart scalping more demanding than standard time-based chart approaches for most retail NSE traders.
Related Strategies
Looking for alternatives? 1 Minute Scalping is a similar Intermediate strategy in the same Momentum category, with Very 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.
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