weekly-fno-trade-planner

Name: weekly-fno-trade-planner
Author: ajeeshworkspace

48stars41forks

How to install weekly-fno-trade-planner?

ajeeshworkspace/indian-trading-skills/weekly-fno-trade-planner

$npx -y skills add ajeeshworkspace/indian-trading-skills --skill weekly-fno-trade-planner

Installs into the current project.

Summary

Weekly F&O trade planning skill for Indian markets. Analyzes news/macro events, identifies trending sectors and instruments, determines probable direction, suggests option strategy with entry/exit levels, and manages stop-loss and profit booking after position entry. Use when use

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SKILL.md

1	# Weekly F&O Trade Planner
2
3	## Overview
4
5	A complete weekly trading workflow for Indian F&O markets — from macro thesis to
6	position management. This skill identifies high-conviction directional trades by
7	combining news analysis, sector screening, technical confirmation, and institutional
8	flow data, then manages the position with structured stop-loss and profit-booking rules.
9
10	Designed for retail traders with limited capital who prefer option buying over selling.
11	Supports both Groww MCP and Zerodha Kite MCP for live execution.
12
13	---
14
15	## Phase 1: News & Macro Scan
16
17	### Goal
18	Identify the dominant narrative driving markets this week.
19
20	### Steps
21
22	1. Fetch breaking news and macro events:
23	```
24	WebSearch: "Indian stock market news this week {current_date}"
25	WebSearch: "global markets impact India {current_week}"
26	WebSearch: "RBI SEBI announcement {current_month} {current_year}"
27	WebSearch: "geopolitical risk India market {current_date}"
28	```
29
30	2. Categorize the macro environment:
31
32	\| Category \| Examples \| Typical F&O Play \|
33	\|----------\|----------\|------------------\|
34	\| Geopolitical crisis \| War, sanctions, oil shock \| Index PUTs (Nifty/BankNifty) \|
35	\| Policy event \| RBI rate decision, budget, SEBI circular \| Straddle/strangle before event \|
36	\| Earnings season \| IT/Banking results week \| Stock options directional \|
37	\| Global risk-off \| US recession fear, China slowdown, Fed hawkish \| Index PUTs, IT stock CALLs (INR weak) \|
38	\| Domestic momentum \| DII buying, reform news, GDP beat \| Index CALLs, banking CALLs \|
39	\| Sector rotation \| Defence order, pharma approval, EV policy \| Sector-specific stock options \|
40	\| Low conviction \| No clear driver, range-bound \| Avoid or play iron condor \|
41
42	3. Rate the macro conviction (1-5):
43	- 5: Clear, strong catalyst with defined timeline (e.g., war escalation, surprise rate cut)
44	- 4: Strong theme but timing uncertain
45	- 3: Moderate — multiple conflicting signals
46	- 2: Weak — mostly noise
47	- 1: No conviction — skip the week or go very small
48
49	Rule: Only proceed to Phase 2 if conviction >= 3.
50
51	---
52
53	## Phase 2: Sector & Instrument Identification
54
55	### Goal
56	Find the ONE instrument most likely to move meaningfully this week.
57
58	### Steps
59
60	1. Screen market movers and sectors:
61
62	Use whichever broker MCP is connected:
63
64	```python
65	# Groww MCP
66	fetch_market_movers_and_trending_stocks_funds(
67	discovery_filter_types=["TOP_GAINERS", "TOP_LOSERS", "VOLUME_SHOCKERS",
68	"YEARLY_HIGH", "YEARLY_LOW", "STOCKS_IN_NEWS"]
69	)
70	fetch_curated_fno(fno_filter_types=["GAINERS", "LOSERS", "TOP_TRADED"])
71
72	# Zerodha Kite MCP — use web search for movers, then:
73	# search_instruments(query="{sector_leader}")
74	```
75
76	2. Check institutional flows (invoke `fii-dii-flow-tracker` skill):
77	- FII net buy/sell trend (last 5-10 days)
78	- DII positioning
79	- Sector-wise FII allocation shifts
80
81	3. Narrow to ONE instrument using this priority:
82	- Index (Nifty/BankNifty): For macro/geopolitical/broad market themes
83	- Sector ETF or index: For sector rotation themes
84	- Single stock: For earnings/company-specific catalysts (must be in F&O list)
85
86	4. Validate F&O availability:
87	```python
88	# Groww MCP
89	fno_mcx_contracts_search_tool(search_term="{instrument_name}")
90
91	# Zerodha Kite MCP
92	search_instruments(query="{instrument_name}", segment="NFO-OPT")
93	```
94
95	### Selection Criteria
96
97	The ideal instrument has:
98	- Direct exposure to the identified macro theme
99	- High F&O liquidity (tight bid-ask spread)
100	- Clear technical setup (trending, not choppy)
101	- Manageable lot size for user's capital
102
103	---
104
105	## Phase 3: Direction & Technical Confirmation
106
107	### Goal
108	Determine the probable direction (bullish/bearish) with technical evidence.
109
110	### Steps
111
112	1. Fetch price data (daily and hourly):
113	```python
114	# Groww MCP
115	fetch_historical_candle_data(
116	trading_symbol="{symbol}",
117	start_time="{60_days_ago} 09:15:00",
118	end_time="{today} 15:30:00",
119	interval_in_minutes="1440"
120	)
121
122	# Zerodha Kite MCP
123	get_historical_data(
124	instrument_token="{token}",
125	from_date="{60_days_ago}",
126	to_date="{today}",
127	interval="day"
128	)
129	```
130
131	2. Run technical indicators:
132	```python
133	# Groww MCP
134	get_historical_technical_indicators(
135	trading_symbol="{symbol}",
136	start_time="{30_days_ago} 09:15:00",
137	end_time="{today} 15:30:00",
138	interval_in_minutes="1440",
139	indicators=["sma", "ema", "rsi", "macd", "supertrend", "bollinger", "atr", "vwap"]
140	)
141
142	# Zerodha Kite MCP — fetch raw candles and compute indicators manually or via

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weekly-fno-trade-planner

48stars41forks

View on GitHub

How to install weekly-fno-trade-planner?

ajeeshworkspace/indian-trading-skills/weekly-fno-trade-planner

$npx -y skills add ajeeshworkspace/indian-trading-skills --skill weekly-fno-trade-planner

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Weekly F&O Trade Planner
2
3	## Overview
4
5	A complete weekly trading workflow for Indian F&O markets — from macro thesis to
6	position management. This skill identifies high-conviction directional trades by
7	combining news analysis, sector screening, technical confirmation, and institutional
8	flow data, then manages the position with structured stop-loss and profit-booking rules.
9
10	Designed for retail traders with limited capital who prefer option buying over selling.
11	Supports both Groww MCP and Zerodha Kite MCP for live execution.
12
13	---
14
15	## Phase 1: News & Macro Scan
16
17	### Goal
18	Identify the dominant narrative driving markets this week.
19
20	### Steps
21
22	1. Fetch breaking news and macro events:
23	```
24	WebSearch: "Indian stock market news this week {current_date}"
25	WebSearch: "global markets impact India {current_week}"
26	WebSearch: "RBI SEBI announcement {current_month} {current_year}"
27	WebSearch: "geopolitical risk India market {current_date}"
28	```
29
30	2. Categorize the macro environment:
31
32	\| Category \| Examples \| Typical F&O Play \|
33	\|----------\|----------\|------------------\|
34	\| Geopolitical crisis \| War, sanctions, oil shock \| Index PUTs (Nifty/BankNifty) \|
35	\| Policy event \| RBI rate decision, budget, SEBI circular \| Straddle/strangle before event \|
36	\| Earnings season \| IT/Banking results week \| Stock options directional \|
37	\| Global risk-off \| US recession fear, China slowdown, Fed hawkish \| Index PUTs, IT stock CALLs (INR weak) \|
38	\| Domestic momentum \| DII buying, reform news, GDP beat \| Index CALLs, banking CALLs \|
39	\| Sector rotation \| Defence order, pharma approval, EV policy \| Sector-specific stock options \|
40	\| Low conviction \| No clear driver, range-bound \| Avoid or play iron condor \|
41
42	3. Rate the macro conviction (1-5):
43	- 5: Clear, strong catalyst with defined timeline (e.g., war escalation, surprise rate cut)
44	- 4: Strong theme but timing uncertain
45	- 3: Moderate — multiple conflicting signals
46	- 2: Weak — mostly noise
47	- 1: No conviction — skip the week or go very small
48
49	Rule: Only proceed to Phase 2 if conviction >= 3.
50
51	---
52
53	## Phase 2: Sector & Instrument Identification
54
55	### Goal
56	Find the ONE instrument most likely to move meaningfully this week.
57
58	### Steps
59
60	1. Screen market movers and sectors:
61
62	Use whichever broker MCP is connected:
63
64	```python
65	# Groww MCP
66	fetch_market_movers_and_trending_stocks_funds(
67	discovery_filter_types=["TOP_GAINERS", "TOP_LOSERS", "VOLUME_SHOCKERS",
68	"YEARLY_HIGH", "YEARLY_LOW", "STOCKS_IN_NEWS"]
69	)
70	fetch_curated_fno(fno_filter_types=["GAINERS", "LOSERS", "TOP_TRADED"])
71
72	# Zerodha Kite MCP — use web search for movers, then:
73	# search_instruments(query="{sector_leader}")
74	```
75
76	2. Check institutional flows (invoke `fii-dii-flow-tracker` skill):
77	- FII net buy/sell trend (last 5-10 days)
78	- DII positioning
79	- Sector-wise FII allocation shifts
80
81	3. Narrow to ONE instrument using this priority:
82	- Index (Nifty/BankNifty): For macro/geopolitical/broad market themes
83	- Sector ETF or index: For sector rotation themes
84	- Single stock: For earnings/company-specific catalysts (must be in F&O list)
85
86	4. Validate F&O availability:
87	```python
88	# Groww MCP
89	fno_mcx_contracts_search_tool(search_term="{instrument_name}")
90
91	# Zerodha Kite MCP
92	search_instruments(query="{instrument_name}", segment="NFO-OPT")
93	```
94
95	### Selection Criteria
96
97	The ideal instrument has:
98	- Direct exposure to the identified macro theme
99	- High F&O liquidity (tight bid-ask spread)
100	- Clear technical setup (trending, not choppy)
101	- Manageable lot size for user's capital
102
103	---
104
105	## Phase 3: Direction & Technical Confirmation
106
107	### Goal
108	Determine the probable direction (bullish/bearish) with technical evidence.
109
110	### Steps
111
112	1. Fetch price data (daily and hourly):
113	```python
114	# Groww MCP
115	fetch_historical_candle_data(
116	trading_symbol="{symbol}",
117	start_time="{60_days_ago} 09:15:00",
118	end_time="{today} 15:30:00",
119	interval_in_minutes="1440"
120	)
121
122	# Zerodha Kite MCP
123	get_historical_data(
124	instrument_token="{token}",
125	from_date="{60_days_ago}",
126	to_date="{today}",
127	interval="day"
128	)
129	```
130
131	2. Run technical indicators:
132	```python
133	# Groww MCP
134	get_historical_technical_indicators(
135	trading_symbol="{symbol}",
136	start_time="{30_days_ago} 09:15:00",
137	end_time="{today} 15:30:00",
138	interval_in_minutes="1440",
139	indicators=["sma", "ema", "rsi", "macd", "supertrend", "bollinger", "atr", "vwap"]
140	)
141
142	# Zerodha Kite MCP — fetch raw candles and compute indicators manually or via

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