Step by Step Ngikutin Gerakan Bandar Crypto with Bevan Pramudito

Finance-focused summary (crypto investing / trading)

• Bevan Pramudito describes earning large gains through crypto narratives, especially in meme coins and other high-volatility opportunities.
• He emphasizes risk management, taking profits early, and active monitoring.
• He frames success as showing up during bear-market “turning points”—moments when people start considering leaving crypto—where new narratives or products can emerge (example: the Hyperliquid launch).
• His core edge is tracking wallets of “smart money” across chains (not just following influencers), then validating signals before entering trades.

Tickers / assets / instruments mentioned

• BTC (Bitcoin)
  • Discussed via a “pay in installments” approach.
  • Also referenced with specific IDR price levels.
• Hyperliquid
  • Referenced as a platform and also as an airdrop/farming opportunity.
• MIM / MIM coin(s)
  • Referred to broadly as “MIM Coin.”
• Aster
  • Mentioned as part of trading opportunities.
• TRUMP / “Trump” coin(s)
  • Described as a major fast-gain event and tied to hype/catalyst timing.
• BOME (meme coin)
• PP (meme coin)
  • Mentioned alongside BOME.
• OKB / “OKB days”
  • Context is about drawdown/spending period; not clearly an asset ticker.
• XPL
  • A coin he says he cut early after recognizing losses could persist.
• “Peanut” coin
  • Example where he sold at 5x, but it later reached 100x.
• RAM coin(s)
  • Mentioned during the TRUMP hype/news cycle.
• “Penguin” coin
  • Referenced as a Solana trend example.
• X (Twitter)
  • Mentioned as an information source/channel.
• NFTs / Web3
  • Mentioned as an earlier era when he built exposure/profit.

Chain / tools

• Solana
  • Mentions Solscan and a method to identify top traders.

Key numbers, levels, and performance claims

Loss / drawdown anecdotes & magnitudes

• Loss anecdote: He describes losing “most…” from Trum[p] / Hyperliquid reaching “several million dollars” (exact amount unclear due to subtitle issues).
• Drawdown: about 60% drawdown after an “NFT/OKB cycle.”

Hyperliquid wallet-based airdrop example (claimed framework)

• Wallet count at the time: < 5,000 wallets
• He mentions:
  • collecting points on testnet
  • collecting points on-platform via high volume
• Upside claim: if held until current price, “millions of dollars.”
• Mentions “above 16–17 billion” (likely IDR; subtitle unclear, but magnitude emphasized).

Airdrop farming economics / ROI claims

• 1000x possible; also 100x possible (as different outcome tiers).
• With “capital of thousands of dollars” and fee burn around ~1,000, he describes downside limited to about 2,000–5,000 (wording suggests limited downside vs upside).

Learning / time commitment (personal experience)

• About 2 years to learn meme coin trading
• Averaging ~12 hours/day

Hypervolatility / fast-trade claims

• Best gain “within a day at most,” described as “millions of dollars” (rare, but others miss it).
• TRUMP example: triggered around 9:00–10:00 am, tied to a tweet; then he enters and exits using a predefined plan.

BTC “pay in installments” framework (3 layers, IDR levels)

• Layer 1: Buy exposure below IDR 65,000 with 10%–20% allocation first (avoid going 100% immediately).
• Layer 2 (value area): roughly IDR 5,000–50,000, with IDR 5,000 and below as the “value area.”
• Layer 3 (worst case): around IDR 5,000; keep cash ready if it happens (described as unlikely but possible).

Hyperliquid “value area” for an alt (example)

• He states a “value area” below 17 dollars
• Notes a “last bottom” worst-case scenario is possible but unlikely.

Risk management examples

• XPL: he says he “cut it very early” due to discipline after losses.
• “Peanut” case: sold at 5x, later could have reached 100x (missed upside).

Methodology / step-by-step frameworks mentioned

1) Narrative trading approach (conceptual framework)

• Identify the next narrative expected to move (e.g., animal → animal/meme cycles; later AI/other themes).
• Find wallets that accumulate early in that narrative.
• Validate the wallets’ track record and behavior to reduce being fooled.
• Enter with a position size you can afford to lose.
• Add in layers after confirmation; move quickly due to crypto’s short attention cycles.

2) Wallet-tracking (“smart money database”) workflow

• Use on-chain transparency to inspect transactions/wallets of profitable traders.
• Build a database of wallets (he claims tens of thousands tracked).
• Manually monitor hundreds of wallets/day and analyze:
  • why they bought/sold,
  • whether multiple wallets show coordinated behavior,
  • whether the flow supports a believable narrative move.
• He compares diligence to equity markets: like tracking brokers/flows after market close.

3) Airdrop “farm with constraints” reasoning

• For “near-zero risk,” focus on airdrops that can be farmed.
• Evaluate expected upside relative to:
  • capital deployed,
  • transaction fees (burn),
  • timing/holding strategy (sell vs hold to later price).

4) BTC “installment buying” plan (3-layer allocation)

• Layer 1: below IDR 65,000, allocate 10%–20%
• Layer 2: “value area” roughly IDR 5,000–50,000 (with IDR 5,000 and below highlighted)
• Layer 3: worst case near IDR ~5,000; keep cash ready

5) “TRUMP coin” execution process (fast trade checklist)

When a major tweet/catalyst hits:

• Verify it’s genuine (account authenticity; “could it be hacked?”).
• Counter your thesis internally and gather community input.
• Determine an exit strategy (how much to exit and when).
• Enter early when conviction rises, then take profit in stages.

Exit rationale includes:

• market cap targets (mentions minimum ~10B),
• gradual profit-taking as hype peaks,
• expectation that attention/FOMO later becomes less favorable once news is widespread.

Explicit recommendations / cautions

• Don’t allocate 100% immediately to BTC; use staged buys (10%–20% first).
• Risk management after drawdowns: learn discipline; avoid repeating overexposure.
• “Cuan bungkus” (wrap profits):
  • Prefer taking gains and cutting appropriately rather than “dreaming through” large drawdowns.
  • Frames it as: would you rather miss 100x upside or avoid losing 99%?
• Trading discipline:
  • Rapid cut losses and wrap profits when thesis deteriorates (example: XPL).
• FOMO caution (implicit):
  • Criticizes blind chasing; emphasizes verification via wallet data.

Disclosures / disclaimers

• No clear “financial advice” disclaimer is visible in the provided subtitles.

Presenters / sources mentioned

• Bevan Pramudito (referred to as “Bevan,” “Bevan Starboy Pramudito”)
• Other referenced people (appearing in chat/lifestyle context, not as specific financial sources):
  • Andre Tobing
  • Kalimasada / “Professor Kalimasada” (context unclear)
  • Central Cee
  • Trump (as a catalyst/event tied to the coin narrative)
• Tools/platforms referenced:
  • Solscan (Solana wallet/trader analysis)
  • Twitter/X (information flow)