AI Experiment

We Asked AI to Build a Crypto Trading Bot - It Actually Works

In just 36 hours, it executed 7,328 trades with a 40.60% win rate and generated $566.07 in simulated profit.

Get the script View on GitHub

7,328Trades Executed

$566.07Simulated Profit

40.60%Win Rate

36hRuntime

A momentum scalper, written in one shot, running on a live ETH chart.

Get Started

Try It Yourself

Head over to app.webull.com/stocks, pull up ETH/USD, then paste the script into the browser's dev console. This version is tuned specifically for ETH but can be adapted to other tickers.

Open the chart

Load ETH/USD on app.webull.com/stocks.

Open the console

F12 on Windows, âŒ˜âŒ¥I on macOS.

Paste and press START

The draggable overlay appears on the chart.

Important. You must keep the browser open and the tab active, or the bot will stop receiving price updates and won't function.

Run this script in your browser's dev console

 /**
 * High-Frequency Scalping Trading Bot (Simulated)
 * For Educational/Simulation Purposes Only.
 *
 * This script is designed to be injected into a web trading platform's browser console.
 * It creates a draggable UI overlay, monitors price changes, implements a tick-scalping
 * strategy, and tracks simulated trading performance.
 *
 * Target Platform (Example): https://app.webull.com/stocks (Ethereum chart)
 *
 * Features:
 * - Draggable, semi-transparent UI overlay with terminal aesthetic.
 * - Displays current price, bot status, position info, P&L stats, trade history.
 * - START, STOP, CLOSE POSITION buttons.
 * - Monitors price changes using MutationObserver on a specified XPath.
 * - Simulates tick scalping based on momentum.
 * - Supports simulated long and short positions.
 * - Auto-exits positions on profit target, stop loss, or time limit.
 * - Tracks total P&L, win rate, and number of trades.
 * - Maintains price history and calculates basic 1-minute OHLC (for display/logging).
 * - Console logging for debugging.
 *
 * Usage:
 * 1. Navigate to the target web trading platform (e.g., Webull ETH chart).
 * 2. Open your browser's developer console (F12 or Cmd+Option+I).
 * 3. Paste this entire script into the console and press Enter.
 * 4. The UI overlay should appear. Click 'START' to activate the bot.
 */

(function() {
    // --- Configuration ---
    const TARGET_PRICE_XPATH = '//*[@id="app"]/main/section/div[2]/div[1]/div/div[2]/div[1]/div[2]/div/div/span[2]';
    const MOMENTUM_SHORT_AVG_PERIOD = 5;  // Shorter average period for momentum
    const MOMENTUM_LONG_AVG_PERIOD = 20;  // Longer average period for momentum
    const MOMENTUM_THRESHOLD = 0.00005; // Sensitivity for entering trades (e.g., 0.005% price change)
    const PROFIT_TARGET_PERCENT = 0.0008; // 0.08% profit target (e.g., for $1000, $0.8 profit)
    const STOP_LOSS_PERCENT = 0.0004;    // 0.04% initial fixed stop loss
    const TRAILING_STOP_PERCENT = 0.0002; // 0.02% trailing stop step
    const POSITION_TIME_LIMIT_MS = 60 * 1000; // Max 60 seconds per trade to enforce high-frequency
    const PRICE_HISTORY_MAX_SIZE = 100;  // Max number of price ticks to store
    const OHLC_UPDATE_INTERVAL_MS = 60 * 1000; // Update OHLC every 1 minute
    const BOT_QUANTITY = 1; // Simulated quantity for each trade (e.g., 1 ETH)

    // --- Global State Variables ---
    let botStatus = 'STOPPED'; // 'STOPPED', 'RUNNING', 'POSITION_OPEN'
    let currentPrice = 0;
    let priceHistory = []; // Stores raw price ticks
    let ohlcData = [];     // Stores 1-minute OHLC bars [{open, high, low, close, timestamp}]

    let position = null; // { type: 'LONG'/'SHORT', entryPrice, entryTime, quantity, initialStopLoss, trailingStopValue }

    let totalPnl = 0;
    let numTrades = 0;
    let numWins = 0;
    let tradeLog = []; // Stores objects: { timestamp, type, entryPrice, exitPrice, pnl, status }

    let priceObserver = null; // MutationObserver instance
    let ohlcInterval = null;  // Interval for OHLC calculation

    let overlayElement = null; // Reference to the UI overlay div

    // --- UI Overlay Elements (references will be populated after creation) ---
    let currentPriceDisplay, botStatusDisplay, positionInfoDisplay,
        pnlStatsDisplay, tradeLogDisplay, startButton, stopButton, closeButton;

    // --- Utility Functions ---

    /**
     * Parses a price string (e.g., "$1,234.56") into a float.
     * @param {string} priceStr - The price string from the DOM.
     * @returns {number} The parsed price as a float, or 0 if parsing fails.
     */
    function parsePrice(priceStr) {
        if (!priceStr) return 0;
        try {
            // Remove currency symbols, commas, and trim whitespace
            return parseFloat(priceStr.replace(/[^0-9.]/g, ''));
        } catch (e) {
            console.error('Error parsing price string:', priceStr, e);
            return 0;
        }
    }

    /**
     * Calculates momentum based on recent and older price averages.
     * A positive momentum suggests an upward trend, negative for downward.
     * @param {Array<number>} history - Array of recent price ticks.
     * @returns {number} The momentum value.
     */
    function calculateMomentum(history) {
        if (history.length < MOMENTUM_LONG_AVG_PERIOD) {
            return 0; // Not enough data for meaningful momentum calculation
        }

        const shortAvg = history.slice(-MOMENTUM_SHORT_AVG_PERIOD).reduce((sum, p) => sum + p, 0) / MOMENTUM_SHORT_AVG_PERIOD;
        const longAvg = history.slice(-MOMENTUM_LONG_AVG_PERIOD).reduce((sum, p) => sum + p, 0) / MOMENTUM_LONG_AVG_PERIOD;

        return (shortAvg - longAvg) / longAvg; // Relative difference
    }

    /**
     * Updates the UI overlay with current bot status and trade information.
     */
    function updateUI() {
        if (!overlayElement) return; // UI not initialized yet

        currentPriceDisplay.textContent = `Current Price: ${currentPrice.toFixed(2)}`;
        botStatusDisplay.textContent = `Status: ${botStatus}`;

        if (position) {
            const currentPositionPnl = (currentPrice - position.entryPrice) * (position.type === 'LONG' ? 1 : -1) * position.quantity;
            positionInfoDisplay.innerHTML = `
                Position: ${position.type} <br>
                Entry: ${position.entryPrice.toFixed(2)} <br>
                Current P&L: ${currentPositionPnl.toFixed(2)}
            `;
        } else {
            positionInfoDisplay.textContent = 'Position: None';
        }

        const winRate = numTrades > 0 ? ((numWins / numTrades) * 100).toFixed(2) : '0.00';
        pnlStatsDisplay.innerHTML = `
            Total P&L: ${totalPnl.toFixed(2)} <br>
            Trades: ${numTrades} (Wins: ${numWins}) <br>
            Win Rate: ${winRate}%
        `;

        // Update trade log display
        tradeLogDisplay.innerHTML = tradeLog.map(trade => {
            const pnlColor = trade.pnl >= 0 ? 'lawngreen' : 'red';
            return `<span style="color: grey;">${new Date(trade.timestamp).toLocaleTimeString()}</span> - ${trade.type}: Entry ${trade.entryPrice.toFixed(2)}, Exit ${trade.exitPrice.toFixed(2)}, P&L: <span style="color: ${pnlColor};">${trade.pnl.toFixed(2)}</span> (${trade.status})`;
        }).join('<br>');

        // Scroll to bottom of trade log
        tradeLogDisplay.scrollTop = tradeLogDisplay.scrollHeight;

        // Update button states
        startButton.disabled = botStatus === 'RUNNING';
        stopButton.disabled = botStatus === 'STOPPED';
        closeButton.disabled = !position;
    }

    /**
     * Adds a trade record to the history and updates overall stats.
     * @param {'LONG'|'SHORT'} type - Type of the trade.
     * @param {number} entryPrice - Price at which position was opened.
     * @param {number} exitPrice - Price at which position was closed.
     * @param {number} pnl - Profit or loss for this trade.
     * @param {string} status - Reason for closing ('PROFIT', 'STOP_LOSS', 'TIME_LIMIT', 'MANUAL').
     */
    function logTrade(type, entryPrice, exitPrice, pnl, status) {
        tradeLog.push({
            timestamp: Date.now(),
            type,
            entryPrice,
            exitPrice,
            pnl,
            status
        });
        // Keep log size manageable
        if (tradeLog.length > 50) {
            tradeLog.shift();
        }

        numTrades++;
        totalPnl += pnl;
        if (pnl >= 0) { // Consider breakeven a win for win rate calc
            numWins++;
        }
        // console.log(`TRADE LOG: ${type} - Entry: ${entryPrice.toFixed(2)}, Exit: ${exitPrice.toFixed(2)}, P&L: ${pnl.toFixed(2)} (${status})`);
        ;
        updateUI();
    }

    /**
     * Displays a temporary message on the UI.
     * @param {string} message - The message to display.
     * @param {'info'|'warning'|'error'} type - Type of message for styling (optional).
     */
    function showMessage(message, type = 'info') {
        const msgDiv = document.createElement('div');
        msgDiv.textContent = `[${type.toUpperCase()}] ${message}`;
        msgDiv.style.color = type === 'error' ? 'red' : (type === 'warning' ? 'yellow' : 'cyan');
        msgDiv.style.marginTop = '5px';
        msgDiv.style.padding = '5px';
        msgDiv.style.border = '1px solid currentColor';
        msgDiv.style.borderRadius = '3px';
        msgDiv.style.animation = 'fadeout 5s forwards';

        // Add a simple fade-out animation CSS
        if (!document.getElementById('bot-message-style')) {
            const style = document.createElement('style');
            style.id = 'bot-message-style';
            style.innerHTML = `
                @keyframes fadeout {
                    0% { opacity: 1; transform: translateY(0); }
                    80% { opacity: 1; transform: translateY(0); }
                    100% { opacity: 0; transform: translateY(-20px); display: none; }
                }
            `;
            document.head.appendChild(style);
        }

        overlayElement.querySelector('#bot-status-display').after(msgDiv); // Insert after status
        setTimeout(() => msgDiv.remove(), 5000); // Remove after animation
    }

    // --- Trading Logic ---

    /**
     * Handles new price ticks from the MutationObserver.
     * This is the core loop for the trading strategy.
     * @param {Array<MutationRecord>} mutationsList
     */
    function handlePriceChange(mutationsList) {
        if (botStatus !== 'RUNNING' && botStatus !== 'POSITION_OPEN') {
            return; // Only process if bot is active
        }

        for (const mutation of mutationsList) {
            if (mutation.type === 'characterData' || mutation.type === 'childList') {
                const newPriceStr = mutation.target.textContent || '';
                const newPrice = parsePrice(newPriceStr);

                if (newPrice > 0 && newPrice !== currentPrice) {
                    currentPrice = newPrice;
                    priceHistory.push(currentPrice);
                    if (priceHistory.length > PRICE_HISTORY_MAX_SIZE) {
                        priceHistory.shift(); // Keep history size limited
                    }
                    updateUI(); // Update price immediately on UI

                    tradingStrategy(); // Execute trading strategy on each price tick
                }
            }
        }
    }

    /**
     * Executes the simulated trading strategy based on current price and momentum.
     */
    function tradingStrategy() {
        if (botStatus === 'STOPPED' || currentPrice === 0 || priceHistory.length < MOMENTUM_LONG_AVG_PERIOD) {
            return; // Not ready to trade
        }

        // --- Position Management (Exit Logic) ---
        if (position) {
            const pnl = (currentPrice - position.entryPrice) * (position.type === 'LONG' ? 1 : -1) * position.quantity;
            const priceChangePercent = pnl / (position.entryPrice * position.quantity); // P&L as percentage of invested amount

            const currentTime = Date.now();
            const timeElapsed = currentTime - position.entryTime;

            // Update trailing stop value
            if (position.type === 'LONG') {
                position.trailingStopValue = Math.max(position.trailingStopValue, currentPrice * (1 - TRAILING_STOP_PERCENT));
            } else { // SHORT
                position.trailingStopValue = Math.min(position.trailingStopValue, currentPrice * (1 + TRAILING_STOP_PERCENT));
            }

            // Determine the active stop loss (more protective of initial fixed or trailing)
            const activeStopLoss = (position.type === 'LONG')
                ? Math.max(position.initialStopLoss, position.trailingStopValue)
                : Math.min(position.initialStopLoss, position.trailingStopValue);

            if (priceChangePercent >= PROFIT_TARGET_PERCENT) {
                // console.log(`[${position.type}] PROFIT TARGET HIT: ${pnl.toFixed(2)}`);
                ;
                showMessage(`PROFIT: ${pnl.toFixed(2)}`, 'info');
                closePosition('PROFIT');
            } else if (
                (position.type === 'LONG' && currentPrice <= activeStopLoss) ||
                (position.type === 'SHORT' && currentPrice >= activeStopLoss)
            ) {
                // console.log(`[${position.type}] STOP LOSS HIT: ${pnl.toFixed(2)}`);
                ;
                showMessage(`STOP LOSS: ${pnl.toFixed(2)}`, 'error');
                closePosition('STOP_LOSS');
            } else if (timeElapsed >= POSITION_TIME_LIMIT_MS) {
                // console.log(`[${position.type}] TIME LIMIT REACHED: ${pnl.toFixed(2)}`);
                ;
                showMessage(`TIME LIMIT: ${pnl.toFixed(2)}`, 'warning');
                closePosition('TIME_LIMIT');
            }
        }

        // --- Entry Logic ---
        if (!position) { // Only enter if no open position
            const momentum = calculateMomentum(priceHistory);

            if (momentum > MOMENTUM_THRESHOLD) {
                // console.log(`MOMENTUM UP (${momentum.toFixed(6)}): Opening LONG position.`);
                ;
                openPosition('LONG');
            } else if (momentum < -MOMENTUM_THRESHOLD) {
                // console.log(`MOMENTUM DOWN (${momentum.toFixed(6)}): Opening SHORT position.`);
                ;
                openPosition('SHORT');
            }
        }
    }

    /**
     * Opens a simulated trading position.
     * @param {'LONG'|'SHORT'} type - The type of position to open.
     */
    function openPosition(type) {
        if (position || currentPrice === 0) return; // Already in a position or no valid price

        const initialStopLossPrice = (type === 'LONG')
            ? currentPrice * (1 - STOP_LOSS_PERCENT)
            : currentPrice * (1 + STOP_LOSS_PERCENT);

        botStatus = 'POSITION_OPEN';
        position = {
            type: type,
            entryPrice: currentPrice,
            entryTime: Date.now(),
            quantity: BOT_QUANTITY,
            initialStopLoss: initialStopLossPrice, // Store the initial fixed stop loss
            trailingStopValue: initialStopLossPrice // Initialize trailing stop at initial fixed stop loss
        };
        // console.log(`Position Opened: ${type} at ${currentPrice.toFixed(2)}`);
        ;
        showMessage(`OPENED ${type} at ${currentPrice.toFixed(2)}`);
        updateUI();
    }

    /**
     * Closes the current simulated trading position.
     * @param {string} status - The reason for closing the position (e.g., 'PROFIT', 'STOP_LOSS', 'MANUAL').
     */
    function closePosition(status = 'MANUAL') {
        if (!position) return; // No position to close

        const exitPrice = currentPrice;
        const pnl = (exitPrice - position.entryPrice) * (position.type === 'LONG' ? 1 : -1) * position.quantity;

        logTrade(position.type, position.entryPrice, exitPrice, pnl, status);

        position = null; // Clear current position
        botStatus = 'RUNNING'; // Go back to running state after closing
        // console.log(`Position Closed: ${status}`);
        ;
        updateUI();
    }

    // --- Bot Control Functions ---

    /**
     * Starts the trading bot.
     */
    function startBot() {
        if (botStatus === 'RUNNING' || botStatus === 'POSITION_OPEN') {
            console.warn('Bot is already running.');
            showMessage('Bot is already running.', 'warning');
            return;
        }

        const targetNode = document.evaluate(TARGET_PRICE_XPATH, document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;

        if (!targetNode) {
            console.error('Target price element not found using XPath:', TARGET_PRICE_XPATH);
            showMessage('ERROR: Price element not found. Check XPath.', 'error');
            return;
        }

        botStatus = 'RUNNING';
        // console.log('Starting bot...');
        ;
        showMessage('Bot started successfully.');

        // Initialize MutationObserver
        priceObserver = new MutationObserver(handlePriceChange);
        priceObserver.observe(targetNode, {
            characterData: true,
            subtree: true,
            childList: true // Also observe child list for dynamic content updates
        });

        // Initial price reading
        currentPrice = parsePrice(targetNode.textContent);
        if (currentPrice > 0) {
            priceHistory.push(currentPrice);
        }

        // Start 1-minute OHLC update
        startOhlcUpdater();

        updateUI();
    }

    /**
     * Stops the trading bot.
     */
    function stopBot() {
        if (botStatus === 'STOPPED') {
            console.warn('Bot is already stopped.');
            showMessage('Bot is already stopped.', 'warning');
            return;
        }

        if (priceObserver) {
            priceObserver.disconnect();
            priceObserver = null;
        }
        clearInterval(ohlcInterval);
        ohlcInterval = null;

        botStatus = 'STOPPED';
        // console.log('Bot stopped.');
        ;
        showMessage('Bot stopped.');
        updateUI();
    }

    /**
     * Calculates and stores 1-minute OHLC data.
     */
    let currentMinuteTicks = [];
    let lastOhlcTimestamp = 0;

    function startOhlcUpdater() {
        if (ohlcInterval) clearInterval(ohlcInterval); // Clear any existing interval

        ohlcInterval = setInterval(() => {
            if (currentMinuteTicks.length > 0) {
                const open = currentMinuteTicks[0];
                const close = currentMinuteTicks[currentMinuteTicks.length - 1];
                const high = Math.max(...currentMinuteTicks);
                const low = Math.min(...currentMinuteTicks);
                const timestamp = Date.now();

                ohlcData.push({ open, high, low, close, timestamp });
                if (ohlcData.length > 60) { // Keep last 60 minutes of OHLC
                    ohlcData.shift();
                }
                // console.log(`OHLC 1-min: O:${open.toFixed(2)} H:${high.toFixed(2)} L:${low.toFixed(2)} C:${close.toFixed(2)}`);
                ;
                currentMinuteTicks = []; // Reset for next minute
            }
        }, OHLC_UPDATE_INTERVAL_MS);
    }


    // --- UI Creation and Injection ---

    /**
     * Creates and injects the UI overlay into the document body.
     */
    function createUIOverlay() {
        // Prevent multiple injections
        if (document.getElementById('bot-overlay')) {
            console.warn('Bot overlay already exists. Remove it first if you want to re-inject.');
            return;
        }

        overlayElement = document.createElement('div');
        overlayElement.id = 'bot-overlay';
        overlayElement.style.cssText = `
            position: fixed;
            top: 40px;
            right: 40px;
            width: 600px;
            background-color: rgba(0, 0, 0, 0.85);
            border: 1px solid #0f0;
            border-radius: 8px;
            color: lawngreen;
            font-family: 'SF Mono', 'Consolas', 'Monaco', monospace;
            font-size: 13px;
            padding: 15px;
            box-shadow: 0 0 15px rgba(0, 255, 0, 0.4);
            z-index: 99999;
            resize: both; /* Allow resizing */
            overflow: auto; /* Enable scroll if content overflows */
            cursor: grab; /* Indicate draggable */
            display: flex;
            flex-direction: column;
            gap: 10px;
        `;

        overlayElement.innerHTML = `
            <div id="bot-header" style="font-weight: bold; text-align: center; margin-bottom: 10px; cursor: move;">
                HFT Scalper Bot (Simulated) - powered by <a href="https://simul8or.com/" target="_blank" style="color:azure;">simul8or</a>
            </div>
            <div id="current-price-display">Current Price: $0.00</div>
            <div id="bot-status-display">Status: STOPPED</div>
            <div id="position-info-display">Position: None</div>
            <div id="pnl-stats-display">
                Total P&L: $0.00 <br>
                Trades: 0 (Wins: 0) <br>
                Win Rate: 0.00%
            </div>
            <div id="controls" style="display: flex; gap: 10px; margin-top: 10px;">
                <button id="start-bot-btn" style="flex: 1; padding: 8px; background-color: #005000; color: lawngreen; border: 1px solid #0f0; border-radius: 5px; cursor: pointer; font-family: inherit; font-size: inherit;">START</button>
                <button id="stop-bot-btn" style="flex: 1; padding: 8px; background-color: #500000; color: lightcoral; border: 1px solid #f00; border-radius: 5px; cursor: pointer; font-family: inherit; font-size: inherit;">STOP</button>
                <button id="close-position-btn" style="flex: 1; padding: 8px; background-color: #000050; color: lightblue; border: 1px solid #00f; border-radius: 5px; cursor: pointer; font-family: inherit; font-size: inherit;">CLOSE</button>
            </div>
            <div id="trade-log-container" style="max-height: 150px; overflow-y: auto; border: 1px solid #333; padding: 8px; border-radius: 5px; background-color: #111;">
                <span style="color: #666;">Trade Log:</span><br>
                <div id="trade-log-display"></div>
            </div>
        `;

        document.body.appendChild(overlayElement);

        // Get references to UI elements
        currentPriceDisplay = overlayElement.querySelector('#current-price-display');
        botStatusDisplay = overlayElement.querySelector('#bot-status-display');
        positionInfoDisplay = overlayElement.querySelector('#position-info-display');
        pnlStatsDisplay = overlayElement.querySelector('#pnl-stats-display');
        tradeLogDisplay = overlayElement.querySelector('#trade-log-display');
        startButton = overlayElement.querySelector('#start-bot-btn');
        stopButton = overlayElement.querySelector('#stop-bot-btn');
        closeButton = overlayElement.querySelector('#close-position-btn');

        // Attach event listeners to buttons
        startButton.addEventListener('click', startBot);
        stopButton.addEventListener('click', stopBot);
        closeButton.addEventListener('click', closePosition);

        // --- Make the overlay draggable ---
        let isDragging = false;
        let offsetX, offsetY;

        overlayElement.querySelector('#bot-header').addEventListener('mousedown', (e) => {
            isDragging = true;
            offsetX = e.clientX - overlayElement.getBoundingClientRect().left;
            offsetY = e.clientY - overlayElement.getBoundingClientRect().top;
            overlayElement.style.cursor = 'grabbing';
            e.preventDefault(); // Prevent text selection during drag
        });

        document.addEventListener('mousemove', (e) => {
            if (!isDragging) return;
            overlayElement.style.left = (e.clientX - offsetX) + 'px';
            overlayElement.style.top = (e.clientY - offsetY) + 'px';
        });

        document.addEventListener('mouseup', () => {
            isDragging = false;
            overlayElement.style.cursor = 'grab';
        });

        updateUI(); // Initialize UI display
    }

    // --- Main Execution ---
    // Ensure the DOM is fully loaded before creating the UI.
    // Injected scripts usually run after DOMContentLoaded, but a safety check is good.
    if (document.readyState === 'loading') {
        document.addEventListener('DOMContentLoaded', createUIOverlay);
    } else {
        createUIOverlay();
    }

    // This ensures that the currentMinuteTicks array gets populated for OHLC calculation.
    // The handlePriceChange function is responsible for adding new prices to `priceHistory`.
    // For OHLC, we need to gather all ticks within a single minute.
    // Let's modify handlePriceChange to also contribute to currentMinuteTicks
    // and the OHLC interval will consume and reset `currentMinuteTicks`.
    const originalHandlePriceChange = handlePriceChange;
    handlePriceChange = function(mutationsList) {
        const previousCurrentPrice = currentPrice;
        originalHandlePriceChange(mutationsList); // Call original to update currentPrice and priceHistory

        // If price actually changed and we are in RUNNING/POSITION_OPEN state
        if (currentPrice > 0 && currentPrice !== previousCurrentPrice && (botStatus === 'RUNNING' || botStatus === 'POSITION_OPEN')) {
            const now = new Date();
            // If it's a new minute since the last OHLC processing (or first tick)
            // Or if currentMinuteTicks is empty and it's the start of a new minute period.
            if (currentMinuteTicks.length === 0 || (now.getTime() - lastOhlcTimestamp) >= OHLC_UPDATE_INTERVAL_MS) {
                 // It's a new minute period, clear past ticks for new OHLC bar
                 currentMinuteTicks = [];
                 lastOhlcTimestamp = now.getTime(); // Update the timestamp of the last OHLC bar start
            }
            currentMinuteTicks.push(currentPrice);
        }
    };

})();

Simulated only. No orders are placed and no funds are at risk â€” the bot reads the price on screen and books its trades in memory.

Strategy

How It Works

The bot uses momentum-based logic with tight trailing stops. It tries to catch small price movements and exit quickly.

You'll notice in the logs that many trades end in a trailing stop (even when profitable) - these will show as "Error: stop loss" due to how the simulation logs trades, but they often represent gains.

Profit target: 0.08%
Initial stop loss: 0.04%
Trailing stop step: 0.02%
Momentum threshold: 0.005%
Averages compared: 5 vs 20 ticks
Time limit per trade: 60 s

The Prompt

Prompt Used

We used the following single shot prompt with Google Gemini to create the script:

Single-shot prompt Â· Google Gemini

I want to create a high-frequency scalping trading bot in JavaScript that gets injected into a web trading platform via browser console. This is for educational/simulation purposes only.

Requirements:



Platform Integration:Inject script into https://app.webull.com/stocks (Ethereum chart)

Monitor price changes using MutationObserver on this XPath: //*[@id="app"]/main/section/div[2]/div[1]/div/div[2]/div[1]/div[2]/div/div/span[2]

Use system clock to create 1-minute OHLC data from real-time price feeds

Trading Algorithm:Implement tick scalping strategy (trade on small price movements)

Go both long and short positions (simulated)

Entry logic: Trade on momentum (upward movement = long, downward = short)

Include momentum calculation using recent price history

UI Overlay:Create draggable, semi-transparent overlay positioned fixed on screen

Hacker/terminal aesthetic (black background, green text, monospace font)

Display: Current price, bot status, position info, P&L stats, trade history

Control buttons: START, STOP, CLOSE POSITION

Real-time trade log showing recent trades with timestamps

Features:Start trading immediately when activated (don't wait for data collection)

Aim for multiple trades within 5-10 minutes

Track win rate, total P&L, number of trades

Auto-exit positions on profit target, stop loss, or time limit

Console logging for debugging

Technical Specs:Pure JavaScript (no external libraries)

Handle price parsing (remove commas, dollar signs)

Maintain price history array (last 50 data points)

Calculate momentum using recent vs older price averages

Include error handling for missing DOM elements

Output: Complete, ready-to-inject JavaScript code with all functionality implemented. The bot should be aggressive enough to generate trades quickly on an active Ethereum chart.

Open Source

Let It Evolve

This started as a fun experiment, but now we're curious to see what others do with it. Tweak the strategy, add indicators, or swap ETH for NVDA. Drop your own variants - we might feature them.

View or fork it on GitHub