Timeframes 101

A "timeframe" = how long each candle on your chart represents. The timeframe you pick controls how often you trade, how much noise you see, and how big your stop has to be.

The common timeframes

Which timeframe should YOU trade?

Pick it based on three things:

• Time available. Can only check charts twice a day? Use 1H+. Watch screens 8 hours a day? You can scalp 5m.
• Personality. Patient? Swing trade. Action-junkie? Intraday. There's no shame in any choice.
• Instrument. Crypto trades 24/7 — any timeframe works. NIFTY weekly options? 5m-15m. Stocks for swing? 1H-1D.

Lower timeframe = more noise + more trades

On a 1m chart you'll see 1,440 candles per day. Most are random wiggles. On a 1D chart you see one candle per day — every candle is meaningful. As you go lower, you trade more often but your edge shrinks because you fight more noise and more fees.

Multi-Timeframe Analysis (Top-Down)

Pros don't look at one timeframe. They use 3 — one for bias, one for setup, one for entry. This is the single biggest upgrade most beginners can make.

The 3-timeframe rule

Typical pairings

Why this works

If the daily chart is trending up and the 4H pulls back to support and the 1H prints a bullish engulfing, you have 3 levels of confluence in your favor. Your win rate goes up massively versus trading any one timeframe alone.

Workflow each session

1. Open HTF. Mark trend direction, swing highs/lows, key zones.
2. Drop to MTF. Wait for price to reach your zone or break structure.
3. Drop to LTF. Enter on confirmation (candle close, momentum shift).
4. Stop loss: structure-based on the MTF or LTF.
5. Target: next HTF level or fixed R-multiple.

Backtesting — what, why, how

Backtesting = testing your strategy on past price data to see if it would have been profitable. Without it, you're gambling.

Why backtest?

• Validate edge. Most strategies that "look good" don't actually work. Backtesting tells you which ones do.
• Build confidence. Knowing your strategy survived 200 historical setups makes it easier to stick with it through a losing streak.
• Find weaknesses. Does it lose during ranging markets? In specific months? Backtest reveals this.
• Calculate expectancy. You'll know your average $ per trade, profit factor, max drawdown — before risking a rupee.

Manual backtesting (recommended for beginners)

1. Write down your strategy rules on paper. Be exact. "Buy when 20EMA crosses up 50EMA on 1H, stop below recent swing low, target 2R."
2. Pick a period — 6-12 months of historical data is a good start.
3. Open TradingView → Bar Replay mode. Hide future bars. Step forward bar by bar.
4. Mark every signal your rules generate. Don't skip the ugly ones. That's hindsight bias.
5. Log every trade in this journal: entry, stop, exit, outcome.
6. Calculate metrics after 50-100+ trades.

What to look at after the backtest

Forward testing (paper trading)

After backtest results look good, paper-trade the same strategy for 30+ live trades. This catches things backtests miss: liquidity, slippage, your emotions, news events. Only after forward testing should you trade real capital.

Common mistakes

• Overfitting — adding 12 indicators until past data looks perfect. The strategy will fail live.
• Hindsight bias — "I would have entered there." No, you wouldn't have, because you didn't know what came next.
• Cherry-picking — skipping trades that don't look pretty. Take every signal your rules generate.
• Too few trades — 10 great trades from one bull market is meaningless. Test through different market conditions.
• Ignoring fees / slippage — model them. Many strategies look profitable until you subtract real costs.

How to write (and disclose) a strategy properly

"My strategy is to buy support" is not a strategy. A strategy is mechanical — someone else reading it should make the same trade decision as you on the same chart.

The 7 essentials every strategy must define

1. Market & instrument. "BTC perpetuals on Binance" — not "crypto".
2. Timeframes. HTF for bias, MTF for setup, LTF for entry.
3. Direction. Long only, short only, or both?
4. Setup conditions. What must be true before you even consider a trade?
5. Entry trigger. The exact event that gets you in. Mechanical, not subjective.
6. Stop loss. Where, and why. Structure-based.
7. Take profit / exit. Fixed R-multiple, trail, or level-based.

Example: "BTC 4H EMA Pullback Long"

Why disclosure matters

Writing your strategy down forces you to be specific. Vagueness is where losing money happens. If you can't write the rule in one sentence, you don't have a rule — you have a feeling. Feelings change in drawdowns. Rules don't.

Strategy Builder

Fill this out for each strategy you trade. Saved locally and available from the Playbook view.

Risk Management

Risk management is what keeps you in the game long enough for your edge to play out. It's more important than any entry signal.

The 1% rule

Never risk more than 1% of your account on a single trade. With a $10,000 account, max loss per trade = $100. With ₹8,00,000, max loss = ₹8,000. Why?

• 10 losses in a row = -10% account. Recoverable.
• At 5% risk: 10 losses in a row = -40%. You'd need +67% just to break even.
• Losing streaks happen even with a 60% win rate. Always.

Position sizing formula

Position size = (Account × Risk%) ÷ (|Entry − Stop|)
Example:
  Account = $10,000
  Risk = 1% → $100
  Entry = $65,000   Stop = $63,500
  Stop distance = $1,500 per BTC
  Position size = $100 ÷ $1,500 = 0.066 BTC

R-multiple thinking

Express every trade as a multiple of risk. If you risked $100 and made $300, it's a "+3R" trade. Now compare strategies on R, not dollars.

• 50% win rate at 2R average = profitable (expectancy = +0.5R/trade)
• 70% win rate at 0.5R average = barely break-even after fees
• R-multiple matters more than win rate. One big winner pays for many small losers.

Daily / weekly limits

• Max 2 losses in a row → step away for 1 hour.
• Max 3% daily loss → close laptop for the day.
• Max 6% weekly loss → no trading until Monday after a full review.

Leverage warning (crypto futures)

Technical Analysis essentials

You don't need 15 indicators. You need to understand structure, levels, and momentum.

Market structure

• Uptrend = higher highs + higher lows. Trade longs.
• Downtrend = lower highs + lower lows. Trade shorts.
• Range = sideways between defined high/low. Fade extremes or wait for breakout.

Support & resistance

Horizontal price levels where buyers (support) or sellers (resistance) have shown up repeatedly. Mark them on HTF. Old resistance often becomes new support after break, and vice versa.

Useful tools (in order of importance)

1. Horizontal levels drawn manually from swing highs/lows.
2. EMAs (20, 50, 200) for trend filtering.
3. Volume — confirms breakouts. Low-volume breakouts often fail.
4. RSI for divergences (price makes new high, RSI doesn't = warning).
5. ATR for stop placement (1-1.5× ATR is a common stop distance).

Candlestick basics

• Bullish engulfing at support → potential long.
• Pin bar (long lower wick) at support → buyers defended it.
• Inside bar after a strong move → compression, often precedes continuation.
• Always wait for the candle to CLOSE before acting. Intra-bar moves lie.

Crypto-specific tips

Crypto is different from stocks: 24/7, hugely volatile, leverage-fueled, sentiment-driven. The rules adapt.

Best timeframes for crypto

• Scalping perps: 5m bias, 1m entry. High-stress, high-fee. Not for beginners.
• Intraday: 1H bias, 15m entry. Sweet spot for most active traders.
• Swing: 1D bias, 4H entry. Holds days to weeks. Best risk-reward.
• Macro: 1W charts for accumulation, halving cycles, regime shifts.

Spot vs Futures (Perp)

Funding rates (perps only)

Every 8 hours, longs pay shorts (or vice versa) based on the funding rate. If funding is +0.05%, longs pay 0.05% of position size to shorts every 8 hours. Over 30 days that's 4.5%. Huge if you hold positions long.

• Extreme positive funding (> 0.1%) = market is over-leveraged long → contrarian short opportunity.
• Extreme negative funding = over-leveraged short → contrarian long.

Common pitfalls

• Using cross margin with high leverage — one trade can liquidate your whole account.
• Revenge trading after a liquidation. Walk away.
• Holding through weekends without reducing size — crypto crashes love Sundays.
• Chasing alts that already pumped 100%. Lower lows behind you = much higher reward-to-risk.

Indian markets — F&O, NIFTY, BANK NIFTY

F&O (Futures & Options) trading in India has its own quirks: weekly expiry, lot sizes, STT/GST, and time-of-day patterns.

Best timeframes for Indian markets

Market timing (IST)

• 9:15 - 9:45 opening volatility. Avoid unless you have a specific opening-range strategy.
• 9:45 - 11:30 directional move, best risk-reward window for trends.
• 11:30 - 13:30 midday chop. Most reversals fail here.
• 13:30 - 15:00 trend continuation or reversal sets up.
• 15:00 - 15:30 closing volatility. Many gamma-induced moves on Thursdays (expiry).

Options-specific traps

• Don't hold weekly options overnight on Wednesday unless you have a strong directional view.
• ATM or 1-strike OTM have the best risk-reward for intraday.
• Far OTM = lottery tickets. Tempting cheap premium but mostly burn to zero.
• Be aware of IV crush after major events (RBI, Budget). Premiums can collapse 30%+ in minutes even with the right direction.

Costs to factor

• STT on options sell side: 0.0625% of premium (very heavy on ITM exercise).
• SEBI + Exchange + Stamp duty: small but real.
• GST on brokerage: 18%.
• Always model ~₹40-60 round-trip cost per options lot when backtesting.

Trading Psychology

Strategy and risk management are 30% of the game. The other 70% is doing the same boring thing under pressure, over and over.

The 5 emotional killers (and the fix)

The mindset shift

• Focus on process, not outcome. A losing trade with perfect execution is a "good" trade. A winning trade with broken rules is a "bad" trade.
• You will lose. 30-50% of the time. Internalize this and losses stop hurting.
• Trade your plan, not your P&L. Looking at P&L mid-trade is how you exit winners early and let losers run.
• One trade means nothing. A 100-trade sample means everything. Zoom out.

Glossary

Quick reference for jargon you'll hear in trading content.