$Zoetis(ZTS)$   Trade Summary – ZTS Buy Price: $85.50 Sell Price: $86.50 Profit Calculation Gain per share: $1.00 Percentage gain: 1.17%

$ARM Holdings(ARM)$   Trade Summary – ARM Buy Price: $211.00 Sell Price: $213.00 Trade Date: 8 May 2026 Profit Calculation Profit per share: $213.00 − $211.00 = $2.00 Percentage Gain: ($2.00 ÷ $211.00) × 100 = 0.95% Result ✅ Realized Profit: $2.00 per share ✅ Return: +0.95%

$ProShares Ultra Bloomberg Crude Oil(UCO)$   Trade Summary – UCO Bought at: $43.20 on 6 May 2025 Sold at: $43.68 on 7 May 2025 Profit Calculation Price gain = $43.68 − $43.20 = $0.48 Percentage gain = $0.48 ÷ $43.20 × 100 ≈ 1.11% Holding period: 1 day Result: +1.11% gain ✅ Trade Note: A short-duration trade capturing a quick move in a leveraged oil ETF (2×)—efficient execution given the instrument’s volatility profile.

$ProShares Ultra Silver(AGQ)$   Trade Summary – AGY Buy Price: $109.00 Sell Price: $110.68 Holding Period: 1 day Profit Calculation: Absolute Gain per share: $110.68 − $109.00 = $1.68 Percentage Return: ($1.68 ÷ $109.00) × 100 = ~1.54% Conclusion: You captured a 1.54% short-term gain in a single day. That’s a solid intraday/swing return, assuming transaction costs are minimal.

$MicroSectors Gold Miners 3x Leveraged ETN(GDXU)$   Trade Details – GDXU Buy Price: $154.00 Sell Price: $159.11 Price Gain per Share: = 159.11 − 154.00 = $5.11 Return Calculation Percentage Gain: = (5.11 / 154.00) × 100 ≈ 3.32% Summary Profit per share: $5.11 Return: ~3.32% Holding period: 1 day → short-term swing trade

1Trade Summary – METU 1st Trade (30 Apr) Bought at: • $25.63 • $24.88 Average entry price: ($25.63 + $24.88) ÷ 2 = $25.26 Sold at: $25.60 Profit: Price gain = $25.60 − $25.26 = $0.34 Percentage gain = $0.34 ÷ $25.26 × 100 ≈ 1.35% Holding period: Intraday Result: +1.35% ✅ 2nd Trade (1 May) Bought at: $26.30 Sold at: $27.53 Profit: Price gain = $27.53 − $26.30 = $1.23 Percentage gain = $1.23 ÷ $26.30 × 100 ≈ 4.68% Holding period: Intraday Result: +4.68% ✅ Overall Performance (Simple Combined View) Average return ≈ (1.35% + 4.68%) ÷ 2 = 3.02% Trade Insight: You executed a re-entry strategy effectively — first capturing a small bounce, then capitalizing on continued momentum the next day with a stronger move. This shows good adaptability to short-term price action.

$Direxion Daily META Bull 2X ETF(METU)$   Trade Summary – METU Bought at: • $25.63 on 30 Apr • $24.88 on 30 Apr Average entry price: ($25.63 + $24.88) ÷ 2 = $25.26 Sold at: $25.60 on 30 Apr Profit Calculation Price gain = $25.60 − $25.26 = $0.34 Percentage gain = $0.34 ÷ $25.26 × 100 ≈ 1.35% Holding period: Same day (intraday) Result: +1.35% gain ✅ Trade Note: A same-day scale-in and exit capturing a quick intraday bounce. Cost averaging helped offset the higher initial entry and secure a controlled profit.

$Direxion Daily MSFT Bull 2X Shares(MSFU)$   Trade Summary – MSFU Bought at: • $30.48 on 29 Apr • $30.00 on 29 Apr • $29.44 on 30 Apr Average entry price: ($30.48 + $30.00 + $29.44) ÷ 3 = $29.97 Sold at: $31.00 on 30 Apr Profit Calculation Price gain = $31.00 − $29.97 = $1.03 Percentage gain = $1.03 ÷ $29.97 × 100 ≈ 3.44% Holding period: 1–2 days Result: +3.44% gain ✅ Trade Note: A multi-entry scale-in strategy capturing a short-term rebound. Averaging down improved cost basis, enabling a strong exit once price reverted upward. If position sizes were not equal, I can recompute using weighted sizing for a more precise return.

$Figma(FIG)$   Trade Summary – FIGMA Bought at: • $17.25 on 23 Apr • $17.00 on 24 Apr Average entry price: ($17.25 + $17.00) ÷ 2 = $17.13 Sold at: $17.44 on 24 Apr Profit Calculation Price gain = $17.44 − $17.13 = $0.31 Percentage gain = $0.31 ÷ $17.13 × 100 ≈ 1.81% Holding period: 0–1 day Result: +1.81% gain ✅ Trade Note: Quick scale-in during short-term weakness followed by fast exit into strength — efficient intraday/swing hybrid execution.

$CT (LUX) I GLOBAL TECHNOLOGY "A" (SGD) ACC(LU1642822529.SGD)$   📈 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.