Technical Analysis (NSE/BSE)

Read the chart systematically and report every indicator, not only the ones that agree with a bias. Let the script do the arithmetic. Your job is interpretation and context.

1. Get candles

Pick the first option that works:

# A. Broker MCP: save the candle response to a JSON file, then
python3 scripts/ta.py summary --candles candles.json --symbol RELIANCE
# B. yfinance (pip install yfinance). NSE stocks auto-map to .NS; indices: NIFTY, BANKNIFTY, SENSEX, INDIAVIX, NIFTYIT …
python3 scripts/ta.py summary --symbol RELIANCE              # --exchange BSE for .BO
python3 scripts/ta.py fetch --symbol NIFTY --period 5y --out nifty.csv
# C. User/exported CSV (Date, Open, High, Low, Close, Volume, any case)
python3 scripts/ta.py summary --csv reliance.csv

Use at least 250 daily bars so SMA200 and 52-week levels exist. yfinance prices are split-adjusted but not dividend-adjusted, which matches broker charts. Check the last bar's date. The script warns when data is stale. Intraday bars from yfinance are limited (60 days for 15m, 730 days for 1h).

Other sub-commands: levels, divergence, fib, mtf, indicators --rows 15; add --json for raw output.

2. Trend

• Structure: higher highs and higher lows is an uptrend; lower highs and lower lows is a downtrend; anything else is a range. The script reports it from swing points (--swing 5 = 5 bars each side).
• MA alignment: price > SMA20 > SMA50 > SMA200 is a strong uptrend, the reverse a strong downtrend, and mixed means transition or chop.
• Golden or death cross (SMA50 vs SMA200): the script reports recent crosses. It is a lagging confirmation, not an entry.
• Relative strength: compare the stock to NIFTY and to its sector index (NIFTYIT, NIFTYBANK, NIFTYAUTO, …). Leaders in a weak market and laggards in a strong one are different trades.

3. Support and resistance

• Swing-point clusters within ~1.5% (the script counts touches). Two or more touches is meaningful.
• 52-week high/low and round numbers (₹1,000, ₹2,500; NIFTY 25,000; BANKNIFTY 55,000) act as magnets. Indian retail and option writers anchor heavily on round strikes.
• Unfilled gaps: gap-up zones act as support and gap-down zones as resistance. Overnight gaps are frequent because of GIFT Nifty and US cues.
• Dynamic levels: SMA20 (short), SMA50 (medium), SMA200 (major).
• For indices and F&O stocks: the largest call-OI strike tends to cap rallies and the largest put-OI strike tends to hold dips into expiry (see fno-options-analysis).

4. Volume and delivery

Price	Volume	Read
Up	Rising	Healthy advance
Up	Falling	Weak rally, suspect
Down	Rising	Distribution, trend acceleration
Down	Falling	Selling exhaustion, bounce possible
Spike at support	—	Capitulation or absorption
Spike at resistance	—	Breakout attempt or distribution

More than 1.5x the 20-day average is significant. Delivery % is an India-specific edge. NSE publishes the delivery quantity as a percentage of traded quantity per stock per day (security-wise delivery data, or the broker's "delivery %" field). A rising price with a rising delivery % means real buyers taking delivery. A rising price with a low delivery % (below about 30% in large caps) is intraday churn.

5. Indicator dashboard

The script grades each indicator bullish, bearish or neutral and counts them:

Indicator	Bullish	Bearish	Neutral
RSI(14)	>50 and rising; rising out of <30	<50 and falling; falling from >70	40–60 flat
MACD(12,26,9)	histogram >0 and growing	histogram <0 and growing	near zero
Bollinger(20,2)	%B 0.5–1 (upper half)	%B 0–0.5	squeeze or walking the band
ADX(14)	>25 with +DI > −DI	>25 with −DI > +DI	<20 (no trend)
Stochastic(14,3,3)	%K crosses up below 20–30	%K crosses down above 70–80	mid-range
MA alignment	stacked up	stacked down	mixed

Indicators are correlated (RSI, Stochastic and MACD all measure momentum). Five bullish signals is not five independent confirmations. Weight structure and volume above the count.

6. India-specific checks (script prints these)

• Circuit hit: a close at the day's high or low exactly at a band (2/5/10/20%) means one-sided liquidity. The next day can gap again, and exits may be impossible in a lower circuit.
• Gap statistics: average and maximum overnight gap over 60 bars. If the stop is closer than the typical gap, it is decoration, not protection.
• Event days: quarterly results (the stock can move 5–15%), ex-dividend (mechanical price drop), bonus/split (check adjustment), index inclusion or exclusion, and F&O ban entry or exit.
• Closing price is a 30-minute VWAP (15:00–15:30) on NSE, so "closing basis" stops use that number, not the last tick.

7. Scenarios

Always give 2–3 scenarios whose probabilities sum to ~100%. Tilt toward the scenario with better structure + volume + higher-timeframe agreement. Keep near-equal odds when evidence conflicts.

A — Bullish (xx%): trigger [daily close above ₹X on >1.5x volume] → targets ₹T1/₹T2; invalid below ₹S
B — Bearish (xx%): trigger [close below ₹S] → targets ₹…; invalid above ₹…
C — Range (xx%): ₹L–₹H for ~N sessions; breakout tell: [volume/delivery/ADX rising above 20]

Output

Lead with the verdict and the data timestamp. Then trend, levels (nearest 2–3 each side with touches), dashboard counts, volume and delivery, divergences, ATR and stop options, India checks, and scenarios. Hand off to position-sizing and stop-loss-strategies when the user wants a trade plan.