Historical Charts - Clean Data From 2023

• Equities: split-adjusted, bonus-adjusted data from 2023 on every NSE listed name
• Indices: from 2023 on Nifty 50, Bank Nifty, Fin Nifty, Mid Cap Nifty plus sectoral indices
• Options: full strike-level chain depth from 2023 onwards - every strike, every expiry, every minute
• Futures: from 2023 across all liquid contracts, rollover-handled
• Crypto: top 20 pairs (BTC, ETH, SOL, XRP, ADA, DOGE, MATIC and more) with multi-year history
• Intraday timeframes: 1-min candles for 10+ years on indices and liquid F&O names

"Historical price data" sounds simple but is full of traps. Splits and bonuses retro-actively change the price series - if you don't adjust, your chart shows fake gaps and your backtest sees fake stop-loss hits. Symbol changes (a company rebrands or merges) create discontinuities. Survivorship (delisted names disappearing) biases your sample. Unfluke handles all of these invisibly: split/bonus adjustments are pre-applied, symbol history is unified, and where survivorship matters (single-name studies), the data layer flags it. The result: the chart you see is what a trader could actually have experienced in real time.

We didn't reinvent charting. Unfluke charts use the TradingView Charting Library - the same engine you know from tradingview.com - which means: 100+ built-in indicators, full drawing toolset (Fibonacci, trendlines, channels, Gann, Elliott), multi-timeframe analysis, saved layouts, and keyboard-shortcut velocity you don't have to relearn. We layer on top: bias-corrected NSE data, F&O chain integration, and backtest overlays.

Run a strategy in the backtester, then open the Strategy Charts view to see every trade plotted on the underlying price. Entry markers, exit markers, stop-loss hits, target fills - all on the candles you've been staring at. This single feature changes how you understand a backtest: numbers tell you the P&L; the chart tells you where the strategy worked and where it bled. Most traders only spot their strategy's weaknesses once they see them on the chart.

Your chart setup - indicators, drawings, timeframes - saves automatically to your account. Open the same setup on a phone, another browser, or a fresh login and it's exactly as you left it. For traders who maintain a watchlist with custom layouts per name (different indicators for index vs single-stock vs crypto), this removes the friction of rebuilding charts every time.

The serious-trader workflow is: see the weekly to understand the regime, the daily for the swing setup, the hourly for the entry trigger, the 5-min for execution. Unfluke charts support this natively with side-by-side timeframe views and multi-timeframe-aware indicator overlays. Layouts save the timeframe configuration per chart.

Beyond underlying price, the chart engine renders option-chain specific views: ATM premium history, IV percentile over time, open-interest build-up by strike, max pain trajectory across an expiry cycle. Useful for options traders who need to see historical context before sizing into a position - especially on event-driven days.

• Thesis research - how did this stock behave during the 2020 crash, the 2022 banking shock, the 2018 NBFC crisis?
• Backtest validation - see exactly where the strategy worked and where it broke
• Regime analysis - what was IV percentile doing in similar setups historically?
• Education - learning chart patterns on real data since 2023 beats reading textbook examples
• Trade journal context - annotate why you took specific trades; the chart history persists with the annotation

Free tier includes full charting on the last 3 months of data; paid tiers raise the depth of historical data - from 2026 on Advanced and from 2023 on Pro. See pricing for tier-specific quotas. Plan choice depends on your style: positional investors rarely need 1-min options data; intraday options traders need it constantly.

These are ideas to study, paper-trade and backtest, not recommendations or signals, and not a promise of any result. A chart shows what happened; past behaviour does not repeat on schedule. Size, entries, exits and risk are your own decisions.

1. Study how a stock behaved in a past shock

• Setup: pick a stressful period in the data and look at how far the stock fell and how long it took to recover.
• Use: a sense of the drawdowns a position in it might face.

2. Read your backtest on the candles

• Setup: after a backtest, open Strategy Charts to see every entry and exit on the price chart.
• Reading: look for the market conditions where the strategy bled; that is where a filter may help.

3. Line up two timeframes

• Setup: mark a level on the daily chart, then watch how price behaves around it on an intraday chart.
• Use: a clearer picture of whether a daily level matters intraday.

4. Keep a chart journal

• Setup: annotate why you took each trade on its chart.
• Use: reviewing the notes later shows which reasons held up.

How to test these

Turn what you see on the chart into a precise rule and backtest it on Unfluke before relying on it.

Historical charts are perfect for what they are: a record of the past. They are not crystal balls. Pattern repetition is real but probabilistic, not deterministic. A chart pattern that worked 8 out of 10 times historically might not work the next time - that's how probabilistic systems behave. Use historical charts to build context, understand regimes, and validate backtests. Don't use them to trade based on visual pattern-matching alone.

Charts are the foundation; pair them with backtesting, scanning, and fundamental analysis for the full retail research stack. Sign up free to open your first chart in 30 seconds.