$SIA(C6L.SI)$   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)

Find out more here:Vote & Earn Tiger Coins! Choose the Next Tiger Merch 📢 Calling all Tigers — Cast your vote! In our previous po...

$MicroSectors Gold Miners 3x Leveraged ETN(GDXU)$   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.

Tumbler and fan most useful to me

$NVIDIA(NVDA)$  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%

I would choose blanket , cover and sleep with it 😁

$ARM Holdings(ARM)$   ARM Holdings — Trade Summary Buy Transactions 18 Dec: Buy 10 shares @ 115.00 Gross amount: 1,150.00 Fee: 2.20 Net cost: 1,152.20 (Subsequent buy): Buy 10 shares @ 117.00 Gross amount: 1,170.00 Fee: 2.20 Net cost: 1,172.20 Sell Transaction 5 Jan: Sell 20 shares @ 117.50 Gross proceeds: 2,350.00 Fee: 2.25 Net proceeds: 2,347.75 Financial Summary Total buy cost (including fees): 1,152.20 + 1,172.20 = 2,324.40 Total sell proceeds (after fees): 2,347.75 Realized Profit (Net): 23.35

$ProShares Ultra Silver(AGQ)$   Instrument: AGQ (ProShares Ultra Silver ETF) Quantity: 10 shares Trade Summary Buy: Price: USD 154.00 Date: 31 Dec 2024 Total Cost: 154 × 10 = USD 1,540 Sell: Price: USD 166.00 Date: 2 Jan 2025 Total Proceeds: 166 × 10 = USD 1,660 Gross Profit Per share: 166 − 154 = USD 12 Total profit: 12 × 10 = USD 120 Return Percentage gain: 120 ÷ 1,540 ≈ 7.8%

A smart approach to stock investing is to take one step at a time. By investing gradually and consistently, I can manage risk more effectively and avoid the pitfalls of overexposure or poor market timing. @Optionspuppy @bleddtoking

$NVIDIA(NVDA)$   Trade Summary – NVIDIA Bought at: $172.00 on 17 December Sold at: $175.00 on 18 December Profit: Price gain = $175.00 − $172.00 = $3.00 Percentage gain = $3.00 ÷ $172.00 × 100 ≈ 1.74% Holding period: 1 day Result: +1.74% gain ✅

$Oracle(ORCL)$   Trade Summary – Oracle Bought at: $179.50 on 17 December Sold at: $184.00 on 18 December Profit: Price gain = $184.00 − $179.50 = $4.50 Percentage gain = $4.50 ÷ $179.50 × 100 ≈ 2.51% Holding period: 1 day Result: +2.51% gain ✅