To The Moon

How I Made Fast Trades in China A50 Futures Using Technical Analysis

Today’s session trading the FTSE China A50 futures (CN2604) was a clear example of how short-term technical analysis (TA), combined with quick execution and discipline, can produce fast and consistent trades. I focused on scalping — entering and exiting within minutes — by identifying micro-trends, momentum shifts, and key support and resistance levels on the 5-minute chart.

From my trade history, I executed multiple buy and sell orders within a tight range, capturing small price movements repeatedly. Instead of aiming for one big move, I compounded smaller gains by reacting to price behavior in real time. This approach required clarity, patience, and strict adherence to my TA framework.

⸻

Understanding the Market Context First

Before placing any trades, I analyzed the overall structure of the market. The China A50 futures opened with a gradual uptrend, as seen from the steady higher lows and higher highs forming on the chart. Price started around the 14560 region and climbed toward the 14780 area.

This told me one important thing:

The underlying bias was bullish, but not strongly trending — instead, it was a controlled, step-by-step climb.

In such environments, I avoid chasing breakouts aggressively. Instead, I look for:

• Pullbacks to moving averages

• Short-term overextensions

• Temporary exhaustion points

This allows me to both buy dips and occasionally short the top of micro swings.

⸻

My Core Strategy: Scalping the Range Within a Trend

Rather than holding positions for long periods, I focused on short bursts of momentum. My trades followed a simple cycle:

1. Identify short-term direction

2. Enter near support or resistance

3. Exit quickly once momentum slows

4. Repeat

Looking at my trades:

• Buy at 14736 → Sell at 14740

• Buy at 14747 → Sell at 14750

• Sell at 14752 → Buy back at 14749

Each trade captured just a few points, but together they added up.

This is the essence of scalping with discipline — not being greedy and respecting the market’s rhythm.

⸻

Key Technical Indicators I Used

1. Moving Averages (VMA Setup)

From the chart, I relied heavily on multiple moving averages (VMA lines). These helped me determine:

• Short-term trend direction

• Dynamic support and resistance

• Entry timing

When price stayed above the shorter moving averages, I maintained a bullish bias. When it stretched too far away, I anticipated a pullback.

For example:

• When price spiked toward 14780, it was far above the averages → likely exhaustion

• That’s where I looked for short opportunities

⸻

2. Volume Spikes

Volume told me when something meaningful was happening.

I noticed a large red volume spike during a sharp drop. This indicated:

• Panic selling or forced liquidation

• Possible short-term bottom

Instead of chasing the drop, I waited. When price stabilized and volume normalized, I entered a buy, catching the rebound.

⸻

3. Support and Resistance Zones

The most important levels I used were:

• 14780–14785 → resistance

• 14730–14740 → short-term support

Price kept bouncing within this range.

So instead of guessing direction, I traded the edges:

• Sell near resistance

• Buy near support

This is why my trades look repetitive — they follow structure, not emotion.

⸻

Example Trade Breakdown

Let me walk through one of my trades clearly.

Trade: Sell at 14752 → Buy back at 14749

Step 1: Identify Overextension

Price had just rallied strongly and was approaching previous highs.

Step 2: Watch Momentum Slow

Candles became smaller, showing hesitation.

Step 3: Enter Short

I sold at 14752, anticipating a minor pullback.

Step 4: Exit Quickly

Price dipped slightly — I covered at 14749.

I didn’t wait for a big drop. I took profit immediately.

⸻

Why I Didn’t Hold Longer

One common mistake traders make is trying to squeeze every point from a trade.

I avoided that.

The market was not trending aggressively — it was grinding upward with pullbacks.

So instead of:

• Holding and risking reversal

I chose:

• Quick entries

• Quick exits

This reduced risk and allowed me to re-enter multiple times.

⸻

Reading the Chart Behavior

There were three key phases in the chart:

1. Slow Uptrend (Early Session)

• Small candles

• Consistent higher lows

• Low volatility

I mainly bought dips here.

⸻

2. Breakout and Spike

• Strong green candles

• High volume

• Rapid movement

This is where many traders chase.

I did the opposite:

• Waited

• Looked for exhaustion

• Took short scalps

⸻

3. Consolidation Near Highs

• Sideways movement

• Repeated tests of resistance

• Decreasing momentum

This is where I made most of my trades:

• Selling near the top

• Buying near the bottom

⸻

Risk Management: The Real Edge

What made these trades successful wasn’t just TA — it was risk control.

I followed these rules strictly:

• Small position size (1 lot each time)

• No averaging down blindly

• Cut losses quickly if wrong

• Take profit fast

Even if one trade failed, the loss would be small compared to multiple wins.

⸻

Psychological Discipline

Fast trading is not just technical — it’s mental.

I had to:

• Stay focused

• Avoid overconfidence

• Not chase missed moves

For example, when price spiked aggressively, it was tempting to jump in.

But I waited for confirmation instead.

That patience is what allowed me to:

• Enter at better prices

• Avoid unnecessary losses

⸻

Why This Strategy Works

This approach works particularly well in markets like China A50 futures because:

1. High liquidity → easy entry and exit

2. Frequent intraday swings → many opportunities

3. Respect for technical levels → predictable reactions

However, it only works if executed properly.

⸻

What Could Have Gone Wrong

Not every session is this clean.

This strategy can fail if:

• Market becomes highly volatile (news-driven)

• Strong breakout trend with no pullbacks

• False signals from low volume

That’s why I continuously adapt.

⸻

Key Takeaways from Today

$FTSE China A50 Index - Apr 2026(CN2604)$  

• I traded structure, not prediction

• I focused on small, repeatable profits

• I used moving averages + volume + levels

• I stayed disciplined with entries and exits

Most importantly:

I didn’t try to be right about direction — I reacted to what the market showed me.

⸻

Final Thoughts

Today’s trades show that you don’t need big moves to make money. By understanding price action and applying technical analysis properly, I was able to capture multiple small gains within a short period.

Scalping like this is not about luck — it’s about:

• Timing

• Discipline

• Execution

And over time, these small trades compound into meaningful results.

⸻If you want, I can break down your exact entries on the chart and show where you could improve timing or increase profits further.