Candlesticks Basics

Candlestick chart Japanese rice traders ने 1700s में invent किए। आज crypto का universal chart format। हर candle 4 prices represent करती है (OHLC): Open, High, Low, Close।

Anatomy of a candle:

• Body: Open और Close के बीच की rectangle
• Wick (shadow): High और Low को represent करती है (lines body के ऊपर/नीचे)
• Color: Green/white (bullish) = Close > Open; Red/black (bearish) = Close < Open

Example BTC 1-day candle: - Open: ₹70,00,000 - High: ₹71,50,000 - Low: ₹69,80,000 - Close: ₹71,20,000

Result: Green candle (close > open)। Body ₹70L-₹71.2L। Upper wick to ₹71.5L। Lower wick to ₹69.8L।

Common candlestick patterns:

Bullish patterns:

1. Hammer। Small body, long lower wick। Bullish reversal at bottom of downtrend।

2. Bullish engulfing। Large green candle completely engulfs prior red candle। Strong reversal signal।

3. Morning star। 3-candle pattern: red, small doji, green। Reversal from downtrend।

Bearish patterns:

1. Shooting star। Small body, long upper wick। Bearish reversal at top।

2. Bearish engulfing। Large red engulfs prior green। Strong sell signal।

3. Evening star। 3-candle reversal — opposite of morning star।

Doji patterns (indecision):

Doji = open ≈ close (very small body)। Market indecision। Often appears at trend reversals।

Multi-timeframe analysis:

Same asset different time frames में different stories: - 1-minute: noise - 5-minute: short-term trading - 1-hour: swing trading - 1-day: trend identification - 1-week: long-term position

Professional traders अक्सर 3-4 timeframes simultaneously देखते हैं।

Indian context — chart platforms:

• TradingView: most popular। Free version sufficient। Indian rupee prices available।
• CoinGecko: basic charting
• CoinDCX: in-app charts (TradingView-powered)
• Binance India: advanced charts

Common mistakes: 1. Single candle से conclusion drawing (need multiple confirmations) 2. Wrong timeframe usage (1-min charts for long-term hold) 3. Pattern interpretation without context 4. Ignoring volume

TA limitations: - Self-fulfilling prophecy (patterns work because people believe them) - Less effective in crypto (24/7, less institutional liquidity than stocks) - Black swan events override TA - Indian context: limited data, lower volumes

Practical use: TA as ONE input, not sole decision factor। Combined with fundamentals + risk management = useful framework।