$CT (LUX) I GLOBAL TECHNOLOGY "A" (SGD) ACC(LU1642822529.SGD)$   📈 Strategy Breakdown: Navigating the Tech Surge How I Managed My Position in CT (Lux) I Global Tech Investing in a high-growth sector like Global Technology requires more than just picking a good fund; it requires a stomach for volatility and a repeatable system. Looking at my recent activity in the CT (Lux) I Global Technology "A" (SGD), my approach has been centered on three core pillars: 1. Aggressive Accumulation in the "Value Zone" If you look at my trade history, you’ll see a cluster of "B" (Buy) markers during the late February to early April period. The Method: Instead of trying to time the absolute bottom, I used a pyramid buying strategy. As the NAV (Net

$UNITED GOLD & GENERAL "A" (SGD) ACC(SG9999001143.SGD)$   Strategy Type: Aggressive Dollar-Cost Averaging (DCA) & Partial Profit-Taking Key Observations: The "Wall of Green": The chart shows a highly disciplined accumulation phase. The investor didn't just buy once; they "scaled in" heavily during the early 2026 uptrend. Buying the Dip: Recent activity shows several "B" (Buy) orders as the NAV retraced from 5.40 down to 4.20. This indicates a belief that the long-term gold bull run is still intact despite the recent 20% correction. Tactical Selling: Red "S" markers at local peaks show a "sell-into-strength" mindset, likely used to rebalance the portfolio or secure capital for the next dip.

$NVIDIA(NVDA)$   Trade Summary – NVDA Bought at: • $169.50 on 27 Mar • $166.60 on 28 Mar Average entry price: ($169.50 + $166.60) ÷ 2 = $168.05 Sold at: $169.00 on 31 Mar Profit Calculation Price gain = $169.00 − $168.05 = $0.95 Percentage gain = $0.95 ÷ $168.05 × 100 ≈ 0.57% Holding period: 3–4 days Result: +0.57% gain ✅ Trade Note: A scale-in entry lowering cost basis during pullback, followed by exit near recovery level — emphasizing risk control over extended holding.

$Prudential(PRU)$   Trade Summary – Prudential Buy Price: $95.90 on 6 Mar Sold at: $96.56 on 31 Mar Profit Calculation Price gain = $96.56 − $95.90 = $0.66 Percentage gain = $0.66 ÷ $95.90 × 100 ≈ 0.69% Holding period: 25 days Result: +0.69% gain ✅ Trade Note: A short-term positional trade with modest upside capture, prioritizing capital preservation while holding through market fluctuations.

$NVIDIA(NVDA)$  Let's go

$SIA(C6L.SI)$   C6L — Singapore Airlines Trade Summary Trade 1 Sell: 300 shares @ $6.690 Buy: 300 shares @ $6.620 Profit per share: $0.070 Profit: 300 × 0.070 = $21.00 Trade 2 Sell: 200 shares @ $6.700 Buy: 200 shares @ $6.610 Profit per share: $0.090 Profit: 200 × 0.090 = $18.00 Total Realised Profit $21.00 + $18.00 = $39.00 ✅ Total Profit: $39.00 (excluding fees & commissions)

$Bank of America(BAC)$   Overall Trading Behaviour Analysis past 2022 to 2023 Strategy Characteristics Your historical trades indicate a structured short-term swing trading approach: Short holding periods: typically 1–5 days Frequent re-entries within the same price zone Focus on price rebounds rather than trend holding Emphasis on realized gains instead of unrealized long-term appreciation Profit Style Small but consistent profit per trade Avoidance of large drawdowns High trade repetition inside a defined range Market Execution Pattern You repeatedly traded BAC within approximately: $27 → $36 price range Strategy logic observed: Enter near short-term weakness/support Exit quickly after rebound Recycle capital into next setup

$Amova STI ETF S$D(G3B.SI)$   Here’s a concise summary of your trades for Amova STI ETF: ✅ Completed Trades Main Trade Cycle (Mar 2026) Buy: 300 shares @ 4.946 (10 Mar) Sell: 313 shares @ 5.000 (17 Mar) ➡️ Profit per share: +0.054 Estimated profit 300 shares traded cycle ≈ SGD 16.20 (before fees) (Extra 13 shares sold likely came from earlier holdings.) Earlier Accumulation (Nov 2025) Multiple small buys: 8 shares @ 4.733 2 shares @ 4.720 3 shares @ Market price (filled) ➡️ Total accumulated earlier: 13 shares One order (3 shares @ 4.695) was cancelled. These 13 shares were later included in the March sell order. 📊 Overall Position Summary Total shares accumulated: 313 Average early accumulation price: ~4.72–4.73 range Exit price: 5.000 Str

$OCBC Bank(O39.SI)$   1. Trade Cycle (Mar 2026) Buy: 100 shares @ 20.860 (10 Mar) Sell: 100 shares @ 21.000 (17 Mar) ➡️ Profit: +0.140 per share (~SGD 14 before fees) 2. Trade Cycle (Feb 2026) Buy: 100 shares @ 21.130 (13 Feb) Sell: 100 shares @ 21.500 (19 Feb) ➡️ Profit: +0.370 per share (~SGD 37 before fees) 📊 Overall Insight Total completed trades: 2 profitable round trips Total estimated profit: ~SGD 51 (before fees) Strategy appears to be short-term swing trading with small, consistent gains Entry prices improving (buying lower in March vs February)

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$MicroSectors Gold Miners 3x Leveraged ETN(GDXU)$   Trade Summary – GDXU Buy Price: $235.00 on 14 Mar Sold at: $237.21 on 14 Mar Profit Calculation Price gain = $237.21 − $235.00 = $2.21 Percentage gain = $2.21 ÷ $235.00 × 100 ≈ 0.94% Holding period: Same day (intraday trade) Result: +0.94% gain ✅ Trade Note: A short intraday momentum trade capturing a quick move in the leveraged gold miners ETF. These 3× leveraged instruments like GDXU tend to move fast, so quick entries and exits help control volatility risk.

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$NVIDIA(NVDA)$  Trade Summary – NVIDIA Buy Price: $178.21 on 7 Mar Sold at: $182.49 on 10 Mar Profit Calculation Price gain = $182.49 − $178.21 = $4.28 Percentage gain = $4.28 ÷ $178.21 × 100 ≈ 2.40% Holding period: 3 days Result: +2.40% gain ✅ Trade Note: A short swing trade capturing a rebound move in NVIDIA after a pullback phase — efficient capital deployment with quick profit realization.

$SCHRODER ISF GLOBAL GOLD "A" (SGDHDG) ACC(LU1223083913.SGD)$   Since initiating this fund in January 2026, I have come to appreciate that disciplined rebalancing is a critical component of managing high-risk investments. Financial markets operate in cycles, with periods of correction and consolidation creating opportunities for strategic accumulation. My investment approach follows a time-based allocation framework, with portfolio reviews and rebalancing conducted approximately every one to two months, subject to prevailing market conditions. The decision-making process focuses on several key factors: Macroeconomic and market developments Currency movements and relative strength trends Price retracements that may present favor

$Netflix(NFLX)$   Bought at: • $90.00 on 7 Jan • $88.47 on 20 Jan Average entry price: ($90.00 + $88.47) ÷ 2 = $89.24 Sold at: $92.95 on 27 Feb Profit Calculation Price gain = $92.95 − $89.24 = $3.71 Percentage gain = $3.71 ÷ $89.24 × 100 ≈ 4.16% Holding period: • First entry: 51 days • Second entry: 38 days Result: +4.16% gain ✅ This was a scale-in strategy, improving your average cost before exit.

$IFAST(AIY.SI)$   Trade Summary – IFAST Bought at: $9.38 on 20 Feb Sold at: $9.42 on 23 Feb Profit: Price gain = $9.42 − $9.38 = $0.04 Percentage gain = $0.04 ÷ $9.38 × 100 ≈ 0.43% Holding period: 3 days Result: +0.43% gain ✅ Trade Rationale: With tariff concerns increasing and macro uncertainty rising, I chose to reduce exposure and exit early to protect capital. Will reassess and re-enter when conditions stabilise.

Standby bullets [Miser]

$OCBC Bank(O39.SI)$   Bought at: $21.13 on 13 Feb Sold at: $21.50 on 19 Feb Profit: Price gain = $21.50 − $21.13 = $0.37 Percentage gain = $0.37 ÷ $21.13 × 100 ≈ 1.75% Holding period: 6 days Result: +1.75% gain ✅

$IFAST(AIY.SI)$   Trade Summary – IFAST 1st Trade Bought at: $9.41 on 13 Feb Sold at: $9.50 on 16 Feb Profit: Price gain = $9.50 − $9.41 = $0.09 Percentage gain = $0.09 ÷ $9.41 × 100 ≈ 0.96% Holding period: 3 days Result: +0.96% 2nd Trade Bought at: $9.38 on 16 Feb Sold at: $9.50 on 19 Feb Profit: Price gain = $9.50 − $9.38 = $0.12 Percentage gain = $0.12 ÷ $9.38 × 100 ≈ 1.28% Holding period: 3 days Result: +1.28%

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