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Candlestick Chart Generator
Analytics · All
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CategoryAnalytics
PlatformAll
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Free
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About this app
WHAT IT DOES
Candlestick Chart Generator creates simulated candlestick charts for any token symbol. Enter a token symbol, select the timeframe (1 hour, 4 hours, 1 day, 1 week), and choose the number of candles (20-100). The tool generates a realistic-looking chart using a random walk model with volatility, displaying open, high, low, close (OHLC) prices and volume. The chart is rendered with green candles for bullish periods (close > open) and red candles for bearish periods (close < open), along with price labels, grid lines, and a current price indicator. A summary shows key metrics including open, close, high, low, percentage change, and volume. This is essential for developers testing chart visualizations, traders analyzing price patterns, or anyone learning candlestick chart reading.
HOW TO USE
Connect your wallet using the BGWallet bridge (MetaMask or any Web3 wallet). Enter the token symbol (e.g., ETH, BTC, SOL). Select the timeframe — the duration each candle represents (1 hour, 4 hours, 1 day, or 1 week). Choose the number of candles to display (20, 30, 50, or 100). Click "Generate chart" to create the candlestick chart. The tool generates simulated price data using a random walk model and renders the chart on a canvas element. Results display the token symbol, timeframe, candle count, the chart itself, and a data summary with open, close, high, low, percentage change, and volume. The chart includes grid lines, price labels, and a dashed line showing the current price level. This is useful for understanding candlestick patterns without requiring real market data.
TECHNICAL MECHANISM
The tool generates candlestick data using a random walk model with volatility. Starting from a random base price (between $3,000 and $5,000), each candle's price is generated by applying a random change (based on a normal distribution with 2% volatility). The open price is the previous close, the close is the open plus the change, the high is the max of open and close plus a random upward spike, and the low is the min minus a random downward spike. Volume is generated randomly between 100 and 1,100. The chart is rendered on an HTML5 Canvas using JavaScript. The canvas is scaled for retina displays (2x). The chart calculates the price range and scales the candles accordingly. Each candle is drawn with a wick (high to low) and a body (open to close), colored green for bullish candles (close > open) and red for bearish candles (close < open). Grid lines and price labels are drawn to provide context. All data is generated client-side — no external APIs or network requests are used. The tool is read-only and does not sign any transactions.
WHAT IT CANNOT SEE
The tool cannot fetch real-time price data without external price feed or API — the data is simulated and not based on actual market prices. It cannot generate charts for tokens without historical data availability — the tool does not fetch historical data. It cannot provide technical analysis indicators (e.g., moving averages, RSI, MACD) without additional libraries — the chart is a raw candlestick chart only. It cannot update charts in real-time without continuous polling — the chart is static after generation. It cannot render charts for extremely large datasets without performance degradation — rendering is limited to 100 candles. It cannot save or export charts as images. The tool is read-only and does not sign any transactions.
PLEASE NOTE
This tool works exclusively with EVM-compatible chains for the wallet connection, but the chart generation is chain-agnostic. Solana, Tron, Starknet, SUI, TON, Aptos, Bitcoin, Cosmos, and XRP are not supported for wallet connection but the chart works regardless. The tool uses simulated data — for real market data, integrate with a price API or oracle. The tool does not store any data — all operations are performed client-side. The tool is provided as-is with no warranty or liability. Always verify market data from multiple sources before making trading decisions.
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