bhala-srinivash/nse-trading-skills
9 skills9 installs198 starsGitHub
Install
npx skills add https://github.com/bhala-srinivash/nse-trading-skillsSkills in this repo
1Fibonacci TradingFibonacci Trading is a niche agent skill for solo traders and indie quant builders working Indian equities on NSE and BSE. It translates a user-supplied or MCP-fetched swing high and low into standard retracement entry bands and extension profit targets, emphasizing confluence where price is likelier to react. Prerequisites are light: no chained skills—Claude can compute the five retracement levels in Python immediately, with richer workflows when Groww MCP supplies candles and depth quotes. Invoke when prompts mention fib levels, golden ratio entries, pullback zones, or extension targets for named tickers. It complements discretionary and systematic strategies but does not replace risk management, exchange rules, or personalized financial advice.1installs2Multi Timeframe Analysismulti-timeframe-analysis teaches agents and solo traders the three-screen workflow for Indian equities: weekly chart sets directional bias and major structure, daily chart defines the actionable setup, and four-hour or one-hour data times entries and tight stops. It stresses trading with the higher timeframe unless there is a deliberate, well-reasoned counter-trend plan, and it includes a confluence scoring lens so multiple screens must agree before commitment. The skill triggers on weekly trend questions, daily-versus-weekly checks, and explicit three-screen requests for NSE or BSE symbols. It does not require other skills in the repo but pairs logically after a single-timeframe technical pass. Builders use it during operating rhythms—pre-market prep, swing entries, and stop retests—when misaligned timeframes are the usual source of avoidable losses.1installs3Nse Trading ToolkitNSE Trading Toolkit is a master orchestrator agent skill for Indian equity trading on NSE and BSE, centered on Groww-style workflows. It is built for solo operators who want structured answers when they ask to analyze a ticker, size a swing trade, or decide buy, sell, or hold on an existing line. Rather than one monolithic script, the skill routes into framework sub-skills covering technical analysis, fixed-fractional position sizing, stop-loss and trailing stops, risk-reward framing, multi-timeframe context, RSI divergence, and Fibonacci targets—so a single prompt like checking BBTC at cost or sizing RELIANCE from a five-lakh account yields an integrated plan with stops and targets instead of generic commentary. Use it when prompts match Indian stock symbols and trading intent; it is not a general global markets or crypto toolkit. Complexity is intermediate because outputs assume familiarity with RSI, ATR, and R:R vocabulary. The skill encodes procedural trading analysis for agents; it does not execute orders—verify every level and compliance constraint before placing trades.1installs4Position SizingPosition sizing is an agent skill for indie builders and solo traders on Indian markets (NSE/BSE) who need consistent share counts and capital per trade instead of gut-feel allocation. It walks through fixed fractional sizing as the default robust approach—risk a fixed percentage of account size divided by entry-to-stop distance—plus ATR-based sizing when volatility should scale the stop, and Kelly criterion when you have edge estimates and accept its assumptions. The skill lists prerequisites as optional: manual prices work; Groww MCP improves live quotes, ATR(14), and holdings for concentration checks, and yfinance is noted as an install path. Triggers align with natural questions like how many shares to buy, lot size, and risk per trade. It is procedural trading math for your agent, not brokerage execution or tax advice.1installs5Risk Reward Ratiorisk-reward-ratio is a finance agent skill for solo traders working NSE and BSE equities who want a hard numeric filter before placing orders. You supply entry, stop, and target levels; the skill walks through per-share and total rupee risk, reward, and the reward-to-risk ratio with a concrete numeric example. It connects ratio discipline to sustainability via minimum R:R tables keyed to win rate, including how many winning trades are needed to recover one loss at common rates. The framing is blunt: if the math does not work, skip the trade—making it ideal for agent-assisted journaling, setup reviews, and intraday planning without fetching live quotes. Because prerequisites are only prices you already decided, it layers cleanly into broader trading skill packs. Use it whenever you ask whether a setup justifies risk, what breakeven R:R your hit rate demands, or how staged targets change effective reward.1installs6Rsi DivergenceRSI Divergence is an agent skill for Indian equity traders who want Claude to read price versus RSI(14) and classify regular bullish or bearish reversals and hidden continuation setups on NSE/BSE symbols. It is built for solo operators who describe candles or pull history through Groww MCP or yfinance instead of clicking through a separate screener. Invoke it when you ask whether momentum is fading, whether RSI is making higher lows while price makes lower lows, or when you want hidden divergence called out before you size a trade. The skill explains what each divergence type means in plain language, what daily lookback to use, and how to treat signals as exhaustion warnings rather than guaranteed turns—useful when you are iterating a discretionary ruleset or documenting why you passed on a breakout.1installs7Stop Loss Strategiesstop-loss-strategies is a finance skill for solo builders and traders automating or assisting NSE/BSE equity workflows who must define loss limits before opening a position. It states plainly that a stop is non-optional and exists to cap maximum loss rather than forecast direction. The skill compares structure-based stops (swing highs and lows), ATR-based stops for volatile names, support and resistance levels, and moving-average anchors, with a table for when each method fits. Prerequisites are light: entry price and key levels can be manual, while Groww MCP historical candles and technical indicators or yfinance can supply ATR and moving averages. Triggers match natural language asks about where to set a stop, protecting a trade, or risk management for a symbol. Canonical Validate scope keeps the skill on the shelf where trade plans are checked; the same rules apply again in Operate when adjusting or re-validating open risk.1installs8Technical Analysistechnical-analysis is an agent skill for solo traders and indie quant-curious builders who want disciplined reads on NSE and BSE names. It walks through resolving symbols, pulling live depth and quotes, loading historical technical indicators, and downloading at least two hundred daily candles—with optional longer history via yfinance—then synthesizing trend, support and resistance, volume, and multi-indicator context into scenarios rather than cherry-picked bullish narratives. Triggers match natural language asks about trends, RSI, MACD, bullish or bearish bias, and volume on Indian tickers. It pairs with Groww MCP when installed but remains usable if you supply prices manually. Use it whenever you are iterating on entries, exits, or risk around Indian equities and need repeatable structure the agent can follow each session.1installs9Trailing StopsTrailing Stops is an agent skill for Indian equity traders who want disciplined profit protection on NSE and BSE positions without guessing when to tighten risk. It walks through ATR-based trails, structure-based trails, moving-average trails, chandelier exits, and a recommended hybrid approach that stages behavior as unrealized profit grows—from holding the initial fixed stop through breakeven, ATR trailing, and structure-based protection. You can supply entry, current price, and ATR manually, or enrich the workflow with Groww MCP or yfinance for indicators and candles. Solo builders automating trading assistants or journaling tools install it so agents answer “how to trail,” “when to move to breakeven,” and stock-specific trailing questions with a consistent playbook instead of one-off chat advice.1installs