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Multi Timeframe Analysis

  • 90 installs
  • 32 repo stars
  • Updated March 5, 2026
  • bhala-srinivash/nse-trading-skills

multi-timeframe-analysis is an agent skill that applies the 3-screen weekly-daily-intraday method and confluence scoring for NSE/BSE equities.

About

multi-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.

  • 3-screen method: Weekly (bias) → Daily (setup) → 4H/1H (entry timing)
  • Rule: trade with higher-timeframe trend unless explicitly overriding with strong reasons
  • Weekly focus on 200-week MA and major S/R; daily on patterns and entry zones
  • Confluence scoring system across screens for go/no-go discipline
  • No mandatory upstream skill—framework applies to any supplied timeframe data

Multi Timeframe Analysis by the numbers

  • 90 all-time installs (skills.sh)
  • Ranked #528 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/bhala-srinivash/nse-trading-skills --skill multi-timeframe-analysis

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Listed on Skillselion
Installs90
repo stars32
Security audit3 / 3 scanners passed
Last updatedMarch 5, 2026
Repositorybhala-srinivash/nse-trading-skills

What it does

Align NSE/BSE trades with weekly bias, daily setup, and 4H/1H entry timing using the 3-screen method and confluence scoring.

Who is it for?

Swing and positional traders on Indian markets who want hierarchical timeframe discipline before clicking buy or sell.

Skip if: Scalpers who ignore weekly structure entirely, investors who only rebalance quarterly, or symbols without usable multi-timeframe history.

When should I use this skill?

User asks for weekly trend, daily vs weekly analysis, multi-timeframe check, 3-screen analysis, higher timeframe bias, or entry timing across timeframes on Indian stocks.

What you get

You document weekly bias, daily setup, and intraday entry/stop levels with confluence scores before placing or adjusting trades.

  • Weekly bias and major S/R notes
  • Daily setup and entry zone
  • 4H/1H entry and stop plan with confluence score

By the numbers

  • 3-screen method (Weekly, Daily, 4H/1H)
  • Confluence scoring system across aligned timeframes

Files

SKILL.mdMarkdownGitHub ↗

Multi-Timeframe Analysis

Higher timeframes set the direction. Lower timeframes refine the entry. Never trade against the higher timeframe trend unless you have very strong reasons.

The 3-Screen Method

ScreenTimeframePurposeWhat to Look For
Screen 1WeeklyTrend biasPrimary trend, major S/R, 200-week MA
Screen 2DailySetupPattern formation, indicator signals, entry zone
Screen 34H / 1HEntry timingPrecise entry price, tight stop placement

How to use it:

1. Weekly decides direction — only take trades in the weekly trend's direction 2. Daily identifies the setup — pullback to support in uptrend, rally to resistance in downtrend 3. Hourly/4H times the entry — wait for the lower TF to confirm reversal in your direction

Prerequisites

No dependencies required. Framework applies to any timeframe data. Enhanced with Groww MCP (multi-interval candles) or yfinance (pip install yfinance) for weekly/monthly history.

Fetching Multi-TF Data

When data tools are available:

Weekly:  fetch_historical_candle_data with interval=1w
Daily:   fetch_historical_candle_data with interval=1d
Hourly:  fetch_historical_candle_data with interval=1h (limited to ~30 days)

For weekly indicators via yfinance: yf.download("SYMBOL.NS", period="2y", interval="1wk")

Screen 1: Weekly Analysis

Check these on the weekly chart:

  • Trend: Series of higher highs/lows (up) or lower highs/lows (down)?
  • Position vs MAs: Price relative to 20W and 50W SMA
  • RSI(14) weekly: Above 50 = bullish bias, below 50 = bearish bias
  • Major S/R: Horizontal levels with multiple weekly touches
  • Volume trend: Rising into the trend direction = healthy

Weekly verdict: Bullish / Bearish / Neutral — this sets your trading bias.

Screen 2: Daily Analysis

With the weekly bias established:

  • Look for setups that align: Pullbacks to buy in uptrend, rallies to sell in downtrend
  • Pattern identification: Flags, wedges, double bottoms/tops, breakouts
  • Indicator signals: RSI, MACD, Bollinger on daily
  • Volume: Confirmation of the setup (declining volume on pullback = healthy)

Daily verdict: Setup present / No setup / Counter-trend setup (risky)

Screen 3: Entry Timeframe (4H / 1H)

Once weekly bias + daily setup align:

  • Wait for lower TF confirmation: A candlestick reversal pattern, RSI bounce, or MACD cross
  • Place entry: At the confirmation signal
  • Set stop: Based on lower TF structure (tighter = better R:R)
  • Target: From daily/weekly levels

Confluence Scoring

Award 1 point for each alignment. This keeps you honest about setup quality.

FactorPoint
Weekly trend agrees with trade direction+1
Daily shows valid setup pattern+1
RSI supports on daily timeframe+1
MACD supports on daily timeframe+1
Key S/R level provides clear stop or target+1
Volume confirms the move+1
ScoreAction
5-6Strong setup — full position size
4Good setup — full position size
3Marginal — half position size
2Weak — skip or paper trade only
0-1No setup — do not trade

Common Mistakes

  • Trading against the weekly trend hoping for a reversal — the weekly trend wins most of the time
  • Using only one timeframe — you miss context and enter with poor timing
  • Forcing alignment — if timeframes disagree, the answer is "no trade" not "trade anyway"

Related skills

How it compares

Layer on top of single-timeframe technical-analysis when entries need timing precision, not just indicator snapshots.

FAQ

Who is multi-timeframe-analysis for?

NSE/BSE traders and agent-assisted operators who need weekly bias and intraday entry alignment before risk is deployed.

When should I use multi-timeframe-analysis?

When you ask for weekly trend versus daily setup, three-screen checks, higher-timeframe bias, or entry timing on 4H/1H for an Indian ticker.

Is multi-timeframe-analysis safe to install?

Review the Security Audits panel on this Prism page; the skill is methodological and any live data access depends on your separate MCP or broker tooling.

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