Weekly Fno Trade Planner

Weekly F&O Trade Planner

Overview

A complete weekly trading workflow for Indian F&O markets — from macro thesis to position management. This skill identifies high-conviction directional trades by combining news analysis, sector screening, technical confirmation, and institutional flow data, then manages the position with structured stop-loss and profit-booking rules.

Designed for retail traders with limited capital who prefer option buying over selling. Supports both Groww MCP and Zerodha Kite MCP for live execution.

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Phase 1: News & Macro Scan

Goal

Identify the dominant narrative driving markets this week.

Steps

1. Fetch breaking news and macro events:

WebSearch: "Indian stock market news this week {current_date}"
WebSearch: "global markets impact India {current_week}"
WebSearch: "RBI SEBI announcement {current_month} {current_year}"
WebSearch: "geopolitical risk India market {current_date}"

1. Categorize the macro environment:

| Category | Examples | Typical F&O Play | |----------|----------|------------------| | Geopolitical crisis | War, sanctions, oil shock | Index PUTs (Nifty/BankNifty) | | Policy event | RBI rate decision, budget, SEBI circular | Straddle/strangle before event | | Earnings season | IT/Banking results week | Stock options directional | | Global risk-off | US recession fear, China slowdown, Fed hawkish | Index PUTs, IT stock CALLs (INR weak) | | Domestic momentum | DII buying, reform news, GDP beat | Index CALLs, banking CALLs | | Sector rotation | Defence order, pharma approval, EV policy | Sector-specific stock options | | Low conviction | No clear driver, range-bound | Avoid or play iron condor |

1. Rate the macro conviction (1-5):

• 5: Clear, strong catalyst with defined timeline (e.g., war escalation, surprise rate cut)
• 4: Strong theme but timing uncertain
• 3: Moderate — multiple conflicting signals
• 2: Weak — mostly noise
• 1: No conviction — skip the week or go very small

Rule: Only proceed to Phase 2 if conviction >= 3.

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Phase 2: Sector & Instrument Identification

Goal

Find the ONE instrument most likely to move meaningfully this week.

Steps

1. Screen market movers and sectors:

Use whichever broker MCP is connected:

# Groww MCP
fetch_market_movers_and_trending_stocks_funds(
    discovery_filter_types=["TOP_GAINERS", "TOP_LOSERS", "VOLUME_SHOCKERS",
                           "YEARLY_HIGH", "YEARLY_LOW", "STOCKS_IN_NEWS"]
)
fetch_curated_fno(fno_filter_types=["GAINERS", "LOSERS", "TOP_TRADED"])

# Zerodha Kite MCP — use web search for movers, then:
# search_instruments(query="{sector_leader}")

1. Check institutional flows (invoke fii-dii-flow-tracker skill):

• FII net buy/sell trend (last 5-10 days)
• DII positioning
• Sector-wise FII allocation shifts

1. Narrow to ONE instrument using this priority:

• Index (Nifty/BankNifty): For macro/geopolitical/broad market themes
• Sector ETF or index: For sector rotation themes
• Single stock: For earnings/company-specific catalysts (must be in F&O list)

1. Validate F&O availability:

# Groww MCP
fno_mcx_contracts_search_tool(search_term="{instrument_name}")

# Zerodha Kite MCP
search_instruments(query="{instrument_name}", segment="NFO-OPT")

Selection Criteria

The ideal instrument has:

• Direct exposure to the identified macro theme
• High F&O liquidity (tight bid-ask spread)
• Clear technical setup (trending, not choppy)
• Manageable lot size for user's capital

---

Phase 3: Direction & Technical Confirmation

Goal

Determine the probable direction (bullish/bearish) with technical evidence.

Steps

1. Fetch price data (daily and hourly):

# Groww MCP
fetch_historical_candle_data(
    trading_symbol="{symbol}",
    start_time="{60_days_ago} 09:15:00",
    end_time="{today} 15:30:00",
    interval_in_minutes="1440"
)

# Zerodha Kite MCP
get_historical_data(
    instrument_token="{token}",
    from_date="{60_days_ago}",
    to_date="{today}",
    interval="day"
)

1. Run technical indicators:

# Groww MCP
get_historical_technical_indicators(
    trading_symbol="{symbol}",
    start_time="{30_days_ago} 09:15:00",
    end_time="{today} 15:30:00",
    interval_in_minutes="1440",
    indicators=["sma", "ema", "rsi", "macd", "supertrend", "bollinger", "atr", "vwap"]
)

# Zerodha Kite MCP — fetch raw candles and compute indicators manually or via yfinance

1. Identify key levels:

• Support levels: Recent swing lows, round numbers, SMA/EMA zones
• Resistance levels: Recent swing highs, previous breakdown points
• Trend: Higher highs/lows (bullish) or lower highs/lows (bearish)
• Momentum: RSI, MACD crossover direction, SuperTrend signal

1. Check Open Interest for institutional positioning:

# Groww MCP
get_open_interest_analysis(symbol="{symbol}", view="all")

# Zerodha Kite MCP — use web search for OI data from NSE

• Heavy PUT writing at a strike = institutional support floor
• Heavy CALL writing at a strike = institutional resistance ceiling
• PCR > 1.2 = market leaning bullish (hedged)
• PCR = 4 and direction is clear
• Always when an active geopolitical/macro crisis is ongoing

Steps

1. Check GIFT Nifty / SGX Nifty (after hours):

WebSearch: "GIFT Nifty live today {current_date}"
WebSearch: "SGX Nifty futures {current_date} evening"

• GIFT Nifty trading > 100 pts below close = high gap-down probability
• GIFT Nifty trading > 100 pts above close = high gap-up probability

1. Check overnight global cues:

WebSearch: "US futures S&P Nasdaq live {current_date}"
WebSearch: "Asian markets Japan China {current_date} evening"
WebSearch: "crude oil price Brent live tonight {current_date}"

• US futures down > 1% = gap-down signal
• Brent crude spike > 3% overnight = strong gap-down for India
• Asian markets deep red = confirms gap-down

1. Check overnight news catalysts:

WebSearch: "{active_crisis} latest news tonight {current_date}"
WebSearch: "breaking news global markets after hours {current_date}"

• New escalation in active crisis = gap accelerator
• De-escalation / ceasefire = reverse gap

1. Calculate Gap Probability Score:

| Factor | Bearish Gap | Bullish Gap | |--------|-------------|-------------| | GIFT Nifty > 100 pts below close | +30% | — | | GIFT Nifty > 200 pts below close | +50% | — | | US futures down > 1% | +15% | — | | Brent crude up > 3% overnight | +20% | — | | Active geopolitical crisis escalating | +20% | — | | FII selling > ₹3,000 cr today | +10% | — | | GIFT Nifty > 100 pts above close | — | +30% | | GIFT Nifty > 200 pts above close | — | +50% | | US futures up > 1% | — | +15% | | Ceasefire / de-escalation news | — | +25% | | FII buying > ₹2,000 cr today | — | +10% |

Score > 60% = HIGH probability gap. RECOMMEND IMMEDIATE ENTRY.

1. Immediate Entry vs Wait Decision:

| Gap Probability | Time | Action | |----------------|------|--------| | > 60% | Before 3:15 PM | BUY NOW. Do not wait for tomorrow. | | > 60% | After 3:30 PM | Alert user: Buy at 9:15 AM tomorrow. Pre-set limit order. | | 40-60% | Any | Buy half position now, half at open | | = 4** — Don't gamble on uncertain gaps

1. Max 40% of capital — Even with high conviction, respect position limits
2. Always use monthly expiry for pre-gap entries — gives time if gap is delayed
3. Set SL immediately — Pre-gap entries can go wrong (gap doesn't materialize)
4. If gap doesn't happen next day — Hold if thesis is intact, exit if thesis breaks
5. Don't chase if you miss the window — Post-gap premiums are 2-3x, reduce lots

---

Phase 5: Execution

Goal

Place the trade with proper order types.

Steps

1. Verify live price before entry:

# Groww MCP
get_ltp(search_queries=["{option_symbol}"], segment="FNO", query_type="fno")
get_quotes_and_depth(search_query="{option_symbol}", segment="FNO", entity_type="fno")

# Zerodha Kite MCP
get_ltp(instruments=["NFO:{option_symbol}"])
get_quotes(instruments=["NFO:{option_symbol}"])

1. Place the order (always ask user for confirmation):

# Groww MCP
place_fno_order(
    trading_symbol="{option_symbol}",
    num_lots={n},
    transaction_type="BUY",
    order_type="LIMIT",
    price={limit_price},
    product="NRML"
)

# Zerodha Kite MCP
place_order(
    exchange="NFO",
    tradingsymbol="{option_symbol}",
    transaction_type="BUY",
    quantity={quantity},
    order_type="LIMIT",
    price={limit_price},
    product="NRML"
)

1. Set GTT stop-loss immediately after fill:

# Groww MCP
place_fno_order(
    trading_symbol="{option_symbol}",
    num_lots={n},
    transaction_type="SELL",
    order_type="LIMIT",
    price={sl_price},
    trigger_price={sl_trigger},
    smart_order_category="GTT",
    trigger_direction="DOWN",
    product="NRML"
)

# Zerodha Kite MCP
place_gtt_order(
    trigger_type="single",
    tradingsymbol="{option_symbol}",
    exchange="NFO",
    trigger_values=[{sl_trigger}],
    last_price={current_ltp},
    orders=[{
        "transaction_type": "SELL",
        "quantity": {quantity},
        "price": {sl_price},
        "order_type": "LIMIT",
        "product": "NRML"
    }]
)

1. Set GTT profit target (same pattern as above with trigger_direction="UP")

Important GTT notes:

• GTT triggers on the OPTION's LTP, not the underlying price
• Always set trigger_price slightly before the limit price (e.g., trigger at ₹95, sell at ₹90 for SL)
• On Groww: GTT may show "verification failed" — this is a known display bug, the order is active
• After exiting a position, ALWAYS cancel orphaned GTTs

---

Phase 6: Position Management (Ongoing)

Goal

Manage the position daily with structured rules for SL tightening, partial exits, and full exit.

Daily Monitoring Checklist

1. Check position P&L:

# Groww MCP
get_my_trading_positions_today()
get_specific_stock_position(trading_symbol="{option}", segment="FNO")

# Zerodha Kite MCP
get_positions()

1. Check underlying price action:

# Use either broker MCP for live price + intraday chart
get_ltp(search_queries=["{underlying}"])
fetch_historical_candle_data(
    trading_symbol="{underlying}",
    start_time="{today} 09:15:00",
    end_time="{today} 15:30:00",
    interval_in_minutes="5"
)

1. Check news for thesis changes:

WebSearch: "{macro_theme} latest news {current_date}"

1. Check institutional flows (FII/DII daily data via fii-dii-flow-tracker skill)

Stop-Loss Tightening Rules

| Premium Move | New SL Level | Logic | |-------------|-------------|-------| | Entry | -30% of premium | Initial risk limit | | +30% profit | Breakeven (entry price) | "Free trade" — can't lose | | +50% profit | Entry + 20% | Lock 20% guaranteed profit | | +100% profit | Entry + 50% | Lock 50%, let rest run | | +150%+ profit | Trail by 30% from peak | Ride the momentum |

To tighten a GTT SL:

# Groww MCP
modify_order_with_confirmation(
    groww_order_id="{gtt_order_id}",
    quantity={qty},
    segment="FNO",
    order_type="LIMIT",
    price={new_sl_price},
    trigger_price={new_trigger},
    trigger_direction="DOWN",
    order_category="GTT"
)

# Zerodha Kite MCP
modify_gtt_order(
    trigger_id={gtt_id},
    trigger_type="single",
    tradingsymbol="{option_symbol}",
    exchange="NFO",
    trigger_values=[{new_trigger}],
    last_price={current_ltp},
    orders=[{
        "transaction_type": "SELL",
        "quantity": {qty},
        "price": {new_sl_price},
        "order_type": "LIMIT",
        "product": "NRML"
    }]
)

Partial Profit Booking Rules

| Condition | Action | Remaining | |-----------|--------|-----------| | Target 1 hit (+50-80%) | Exit 40-50% of position | 50-60% as runner | | Target 2 hit (+100-150%) | Exit another 30% | 20-30% as runner | | Momentum continues | Trail SL on remaining | Let it ride | | Thesis weakens | Exit all remaining | Protect profits |

Full Exit Triggers

Exit the ENTIRE position when:

• SL hit: No questions, no hoping — exit immediately
• Thesis invalidated: Key news changes the setup (e.g., ceasefire in a war trade)
• Time decay risk: = 3, the skill MUST run Phase 4.5 to check for overnight gap opportunities.

The #1 profit multiplier in F&O is buying BEFORE the gap, not AFTER.

If the user invokes this skill in the evening / after hours:

1. Skip Phases 1-3 if thesis is already established
2. Go DIRECTLY to Phase 4.5 (Gap Probability)
3. If gap score > 60%, issue Immediate Entry Alert
4. NEVER say "wait for tomorrow" when gap probability is high and market is still open
5. If market is closed, alert user to set pre-market limit order or buy at 9:15 sharp

---

Tools Used

Use whichever broker MCP is connected (Groww or Zerodha Kite):

| Action | Groww MCP | Zerodha Kite MCP | Fallback | |--------|-----------|------------------|----------| | Live price | get_ltp | get_ltp | yfinance | | Market depth | get_quotes_and_depth | get_quotes | — | | Historical data | fetch_historical_candle_data | get_historical_data | yfinance | | Technical indicators | get_historical_technical_indicators | — (compute from candles) | yfinance + pandas | | Open interest | get_open_interest_analysis | — | Web search (NSE) | | Greeks/IV | get_greeks_for_fno_contract | — | Black-Scholes script | | ATM straddle | get_atm_straddle_chart | — | Manual calculation | | Margin check | calculate_fno_margin | get_margins | — | | F&O search | fno_mcx_contracts_search_tool | search_instruments | — | | Place order | place_fno_order | place_order | — | | GTT orders | place_fno_order (GTT) | place_gtt_order | — | | Modify GTT | modify_order_with_confirmation | modify_gtt_order | — | | Cancel GTT | cancel_order_with_confirmation | delete_gtt_order | — | | Positions | get_my_trading_positions_today | get_positions | — | | Portfolio | get_equity_portfolio_holdings | get_holdings | — | | Market movers | fetch_market_movers_and_trending_stocks_funds | — | Web search | | F&O movers | fetch_curated_fno | — | Web search | | Trading calendar | resolve_market_time_and_calendar | — | Web search | | Screener | fetch_technical_screener | — | Web search | | News | WebSearch | WebSearch | WebSearch | | FII/DII flows | fii-dii-flow-tracker skill | fii-dii-flow-tracker skill | Web search | | Calculator | calculator | — | Python |

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Disclaimer

This skill provides analysis and trade suggestions based on publicly available data and technical/fundamental indicators. It is NOT financial advice. All F&O trading involves significant risk of loss. Users must make their own investment decisions and are responsible for their own trades. Past patterns do not guarantee future results.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: ajeeshworkspace
• Source: ajeeshworkspace/indian-trading-skills
• License: MIT

Install and usage instructions live in the source repository linked above.