$MicroSectors Gold Miners 3x Leveraged ETN(GDXU)$   Trade Discussion – GDXU (Oct 2025 to May 2026) Over the past several months, I’ve been actively swing trading MicroSectors Gold Miners 3x Leveraged ETN (GDXU), focusing mainly on short-term momentum and volatility moves. Most positions were opened and closed within a few days, and in some cases within the same trading session. Entry prices ranged from around $130 in Oct 2025 up to the $380+ region in Jan 2026, reflecting the aggressive price swings typical of leveraged gold miner products. The trading activity became especially active during Jan–Feb 2026, where there were multiple entries and exits as gold miners experienced strong momentum. Position sizes gene

$Co-Diagnostics, Inc.(CODX)$   Trade Summary – CODX Buy Orders 11 May 2026 — Bought at $2.00 13 May 2026 — Bought at $1.75 Sell Order 19 May 2026 — Sold at $1.94 Average Cost Average buy price: $1.875 Profit & Loss (per share basis) Profit per share: +$0.065 Percentage Gain Result Net Profit: +$0.065 per share Return: +3.47%

$Zoetis(ZTS)$   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)