The Man Who Truned $550 In To 40 Lakhs || Sikhar Shakya

Finance-Focused Summary (Markets, Strategy, Risk, Performance)

Crypto Investing/Trading Background & Market Cycle View

• Shikhar Shakya began with crypto (not Indian stocks), first learning through investment/ROI schemes, then transitioning into spot trading.
• He views the market through a crypto bull/bear cycle:
  • Bull market (example referenced: 2020–21 COVID period): momentum pushes many coins up, creating better profit opportunities.
  • Bear market: fewer opportunities; intraday trading may still work, but overall “benefit” is lower.
• Example macro/news driver context:
  • Elon Musk / Tesla and Bitcoin acceptance as payment are mentioned as part of the 2020 momentum narrative.

Key Crypto Trade/Portfolio Outcomes (With Numbers)

• BTC purchase reference: at one point Bitcoin ~ $5,000, implying early involvement via a scheme and later hands-on trading (exact timeline unclear).
• Polkadot (DOT) trade outcomes:
  • Bought around $5–$7
  • Later referenced as worth about ~$45, claimed as roughly ~9x
  • After BTC gains, he rotated capital into other small caps/alt coins, but said many failed in the next bear phase (“old coins became dead” and mentions 99–98% dumps).
• BTC/ETH timing examples:
  • Mentions BTC reaching around $120,000 (peak/bull-end reference).
  • Claims he bought BTC in the $55,000–$90,000 range.
  • Says that when BTC hit around $80,000, he sold and “money almost doubled” (exact figures not fully clear).
• Core lesson: rotating out of winners into small caps can work during bull phases, but in the next cycle many alts can underperform severely.

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Prop Firm Journey & Performance Metrics (Mainly Payout/Accounting)

• He entered prop trading after some prior crypto/investment experience.
• Total prop payouts stated (as readable from the transcript):
  • $4,250 overall payout “from prop”
  • Mentions it was “about to cross $50,000,” but the transcript appears inconsistent (likely OCR/autosub errors: repeated “$0000/$50,000” text).
  • Also says: “It will be done in a month.”
  • Mentions an additional “blue guardian” payout, but the exact amount is unclear.
• Account sizing & drawdown discipline:
  • First prop account bought: $350 (he says it cost about ~$300 / breached—details unclear due to transcript noise).
  • Second account (Alpha Capital):
    • Invested about ~$100k in rupees (exact USD equivalent unclear)
    • Later mentions buying accounts for $450
    • Claims that “to this day” profits are not replenished with new capital: “not a single new penny has been invested” after initial funding.

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Indian Stocks/Derivatives Anecdote (Options)

• He tried Nifty 50 options:
  • Invested ₹50,000 in Zerodha during Nirmala Sitharaman’s budget speech
  • Claims portfolio grew from ~₹500 to ~₹1.15 lakh
  • He did not book profit, and it was later “dumped in one candle” into losses
• Then he traded options more consistently:
  • After earlier loss, invested about ₹1 lakh (second phase)
  • Next month invested ₹2 lakh
  • Started option selling with ₹3 lakh
  • Claims break-even, then 5–6% returns in the third month

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Methodology / Frameworks Shared (Step-by-Step Concepts)

A) Prop-Firm Account “Challenge Passing” Approach (CFD vs Futures)

CFDs (his framing)

• He claims CFD drawdown allowance is larger relative to account size (example cited: $50k CFD → ~ $5k drawdown).
• To pass, you need to manage risk so you can hit targets:
  • Mentions a concept like ~8% target
  • Mentions “1:1 to break-even” logic (exact definition depends on drawdown/risk settings)
• After funding:
  • Can withdraw once payout rules are met
  • Then you still must maintain consistency requirements

Futures

• He claims futures require making ~1.5x more (relative to drawdown) before passing.
• Example (numbers as stated, OCR noisy):
  • drawdown Rs 2000 → need around Rs 3000–4000 profit
• He emphasizes futures also involve trailing drawdown / continued consistency even after being funded.

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B) Risk Management in Prop Trading (Portfolio/Account Scheduling)

He recommends:

• Start with ~2% minimum risk per trade, often 2–3% of the prop account for challenge attempts
  • Mentions sometimes 2.5–3% or a more conservative ~1%
• When an account hits loss/SL:
  • switch to the next account the next day (multi-account cycling)
• Use limit orders rather than market orders; always place SL
• If budget is limited:
  • scale using multiple smaller accounts rather than one large single account
  • suggestion: buy multiple accounts and trade “one by one”

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C) Multi-Account Cycling Example (To Pass Challenges)

He provides an operational sequence:

• Assume 3 accounts (A / B / C), each with its own target.
  • Day 1: trade Account A using about 2–3% risk
  • If SL hits:
    • Next day: trade Account B with similar risk sizing
  • Continue until a target is reached
• Goal:
  • avoid “restlessness” and overtrading the same account after losses
• Repeat the cycle to progress

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CFDs vs Futures (Explicit Recommendation)

• He personally prefers CFDs for beginners:
  • Recommendation: start with CFDs
  • Pass challenges for about 2–3 months
  • Then consider futures if consistent
• Caution on futures:
  • losses can occur quickly
  • trailing drawdown/consistency rules make it harder
• He acknowledges futures can offer good ROI, but stresses the difficulty and risk of fast losses.

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Trading Strategy (Technical Framework Mentioned)

SMC/ICT-Style Price Action (Named Concepts)

He describes a strategy combining SMC + ICT concepts, including:

• Liquidity / IDM / inducement
• Expect a liquidity sweep
• Mark swing points
• Wait for a trap / confirmation
• Then trade in the direction of the trend
• He says it works across multiple timeframes
• His personal phrasing:
  • “Liquidity sweep + trap + trend direction”
• He refines the approach using backtesting, including adjustments to timing and instruments.

Instrument Preferences / Assets Mentioned

• Nasdaq
• Gold
• GBP/USD (not preferred; he says it’s “sideways” for days)
• Crypto instruments mentioned earlier:
  • Bitcoin (BTC)
  • Ethereum (ETH)
  • Polkadot (DOT)
• Additional context (not a direct trade):
  • Tesla (referenced via Elon Musk / Bitcoin payment narrative)
• India context:
  • Nifty 50 via Zerodha options anecdote

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Trading Routine & Market Sessions (Timeline)

• Routine:
  • Gym + breakfast in the morning
  • Trade based on session timing
• Session emphasis:
  • London session: fewer trades
  • New York session: “moves come after 7:00 PM” (most activity where he expects movement)
• Trade count:
  • Targets about 2 trades when psychology is good
  • Otherwise around 1–2 to 2–3 trades

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Risk Cautions / Disclaimers / Compliance Notes

• No explicit “not financial advice” disclaimer appears in the transcript.
• Repeated beginner cautions include:
  • Don’t assume quick growth; passing challenges requires discipline
  • Don’t over-risk or overtrade after drawdown
  • For crypto-related P2P cashouts:
    • warns: “Never with UPI” due to account freezing/issues risk (presented as compliance caution, not legal advice)

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Sales/Promo Content (Prop-Firm Programs & Coupons)

• He discusses “summer plans” and discount/coupon codes (brand names appear OCR-noisy and partly unreadable).
• Mentions plan tiers and payout mechanics:
  • ₹100 plan with payout cap mentioned as ₹2000
  • ₹200 plan (also references a price like “~$29” with coupon for further discount)
• Program mechanics mentioned:
  • payout consistency requirement: “50% consistency”
  • loss limit: 10% loss limit
  • “daily 3% you earn”
• Note: these are promotional program mechanics, not trading performance claims.

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Presenters / Sources Mentioned

• Shikhar Shakya (primary presenter/guest)
• Interview host / interviewer (name not provided; described as “Brother / podcast host”)
• Platform/source mentions:
  • Zerodha (for the Nifty 50 options anecdote)
  • Alpha Capital and specific prop-firm names are referenced but not reliably legible due to auto-subtitle/OCR issues
• No clearly credited external finance institutions are listed.