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tad

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MarcRyan commited on May 20

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d5ef46f

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1 Parent(s): e60aa50

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README.md +6 -4
index.html +553 -19
prompts.txt +2 -0

README.md CHANGED Viewed

@@ -1,10 +1,12 @@
 ---
-title: Tad
-emoji: 🌖
 colorFrom: gray
-colorTo: blue
 sdk: static
 pinned: false
 ---
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

 ---
+title: tad
+emoji: 🐳
 colorFrom: gray
+colorTo: purple
 sdk: static
 pinned: false
+tags:
+  - deepsite
 ---
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

index.html CHANGED Viewed

@@ -1,19 +1,553 @@
-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
-</html>

+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Trading Agent Dashboard</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/js/all.min.js"></script>
+    <style>
+        .gradient-bg {
+            background: linear-gradient(135deg, #1e3a8a 0%, #1e40af 100%);
+        }
+        .signal-buy {
+            background-color: rgba(74, 222, 128, 0.2);
+            border-left: 4px solid rgba(74, 222, 128, 1);
+        }
+        .signal-sell {
+            background-color: rgba(248, 113, 113, 0.2);
+            border-left: 4px solid rgba(248, 113, 113, 1);
+        }
+        .fade-in {
+            animation: fadeIn 0.5s ease-in-out;
+        }
+        @keyframes fadeIn {
+            from { opacity: 0; transform: translateY(10px); }
+            to { opacity: 1; transform: translateY(0); }
+        }
+        .loading-spinner {
+            border: 4px solid rgba(0, 0, 0, 0.1);
+            border-radius: 50%;
+            border-top: 4px solid #3b82f6;
+            width: 40px;
+            height: 40px;
+            animation: spin 1s linear infinite;
+        }
+        @keyframes spin {
+            0% { transform: rotate(0deg); }
+            100% { transform: rotate(360deg); }
+        }
+    </style>
+</head>
+<body class="bg-gray-100 font-sans">
+    <div class="min-h-screen">
+        <!-- Header -->
+        <header class="gradient-bg text-white shadow-lg">
+            <div class="container mx-auto px-4 py-6">
+                <div class="flex justify-between items-center">
+                    <div>
+                        <h1 class="text-3xl font-bold">Trading Agent Dashboard</h1>
+                        <p class="text-blue-200">Analyze any stock with different trading strategies</p>
+                    </div>
+                    <div class="flex items-center space-x-4">
+                        <div class="bg-blue-800 px-4 py-2 rounded-lg">
+                            <span class="text-blue-200">Last updated:</span>
+                            <span id="current-date" class="font-medium"></span>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </header>
+        <!-- Main Content -->
+        <main class="container mx-auto px-4 py-8">
+            <!-- Stock Search -->
+            <div class="bg-white rounded-xl shadow-md p-6 mb-8 fade-in">
+                <h2 class="text-2xl font-semibold text-gray-800 mb-4">Search for a Stock</h2>
+                <div class="flex flex-col md:flex-row gap-4">
+                    <div class="flex-1">
+                        <label for="stock-symbol" class="block text-sm font-medium text-gray-700 mb-1">Stock Symbol</label>
+                        <div class="relative">
+                            <input type="text" id="stock-symbol" placeholder="e.g. AAPL, MSFT, JPM"
+                                   class="w-full px-4 py-2 border border-gray-300 rounded-md focus:ring-blue-500 focus:border-blue-500">
+                            <div id="symbol-error" class="hidden absolute inset-y-0 right-0 pr-3 flex items-center pointer-events-none">
+                                <i class="fas fa-exclamation-circle text-red-500"></i>
+                            </div>
+                        </div>
+                        <p id="symbol-error-text" class="mt-1 text-sm text-red-600 hidden">Please enter a valid stock symbol</p>
+                    </div>
+                    <div class="flex-1">
+                        <label for="time-period" class="block text-sm font-medium text-gray-700 mb-1">Time Period</label>
+                        <select id="time-period" class="w-full px-4 py-2 border border-gray-300 rounded-md focus:ring-blue-500 focus:border-blue-500">
+                            <option value="1mo">1 Month</option>
+                            <option value="3mo">3 Months</option>
+                            <option value="6mo">6 Months</option>
+                            <option value="1y" selected>1 Year</option>
+                            <option value="2y">2 Years</option>
+                            <option value="5y">5 Years</option>
+                            <option value="max">Max Available</option>
+                        </select>
+                    </div>
+                    <div class="flex items-end">
+                        <button id="search-stock" class="px-6 py-2 bg-blue-600 text-white rounded-md hover:bg-blue-700 transition-colors">
+                            <i class="fas fa-search mr-2"></i> Analyze
+                        </button>
+                    </div>
+                </div>
+                <div id="stock-info" class="mt-4 hidden">
+                    <div class="flex items-center">
+                        <div class="mr-4">
+                            <h3 id="stock-name" class="text-xl font-semibold"></h3>
+                            <p id="stock-symbol-display" class="text-gray-600"></p>
+                        </div>
+                        <div class="ml-auto">
+                            <span id="current-price" class="text-2xl font-bold"></span>
+                            <span id="price-change" class="ml-2 px-2 py-1 rounded-full text-sm"></span>
+                        </div>
+                    </div>
+                </div>
+            </div>
+            <!-- Loading Indicator -->
+            <div id="loading-indicator" class="hidden flex flex-col items-center justify-center py-12">
+                <div class="loading-spinner mb-4"></div>
+                <p class="text-gray-600">Fetching stock data and analyzing strategies...</p>
+            </div>
+            <!-- Strategy Selector -->
+            <div id="strategy-selector" class="bg-white rounded-xl shadow-md p-6 mb-8 fade-in hidden">
+                <h2 class="text-2xl font-semibold text-gray-800 mb-4">Select Trading Strategy</h2>
+                <div class="grid grid-cols-1 md:grid-cols-3 gap-4">
+                    <div class="strategy-card bg-white border border-gray-200 rounded-lg p-4 hover:shadow-lg transition-shadow cursor-pointer" data-strategy="turtle">
+                        <div class="flex items-center mb-2">
+                            <div class="bg-green-100 p-2 rounded-full mr-3">
+                                <i class="fas fa-turtle text-green-600"></i>
+                            </div>
+                            <h3 class="text-lg font-medium">Turtle Trading</h3>
+                        </div>
+                        <p class="text-gray-600 text-sm">Based on 20-day highs and lows for entry/exit signals</p>
+                    </div>
+                    <div class="strategy-card bg-white border border-gray-200 rounded-lg p-4 hover:shadow-lg transition-shadow cursor-pointer" data-strategy="moving-average">
+                        <div class="flex items-center mb-2">
+                            <div class="bg-blue-100 p-2 rounded-full mr-3">
+                                <i class="fas fa-chart-line text-blue-600"></i>
+                            </div>
+                            <h3 class="text-lg font-medium">Moving Average</h3>
+                        </div>
+                        <p class="text-gray-600 text-sm">Uses short (2.5%) and long (5%) moving average crossovers</p>
+                    </div>
+                    <div class="strategy-card bg-white border border-gray-200 rounded-lg p-4 hover:shadow-lg transition-shadow cursor-pointer" data-strategy="comparison">
+                        <div class="flex items-center mb-2">
+                            <div class="bg-purple-100 p-2 rounded-full mr-3">
+                                <i class="fas fa-balance-scale text-purple-600"></i>
+                            </div>
+                            <h3 class="text-lg font-medium">Strategy Comparison</h3>
+                        </div>
+                        <p class="text-gray-600 text-sm">Compare performance of all available strategies</p>
+                    </div>
+                </div>
+            </div>
+            <!-- Dashboard Content -->
+            <div id="dashboard-content">
+                <!-- Default view (Turtle Trading) -->
+                <div class="strategy-view" id="turtle-view">
+                    <!-- Performance Metrics -->
+                    <div class="grid grid-cols-1 md:grid-cols-4 gap-4 mb-8">
+                        <div class="bg-white rounded-lg shadow p-4">
+                            <div class="flex items-center">
+                                <div class="bg-green-100 p-3 rounded-full mr-3">
+                                    <i class="fas fa-dollar-sign text-green-600"></i>
+                                </div>
+                                <div>
+                                    <p class="text-gray-500 text-sm">Initial Capital</p>
+                                    <h3 class="text-xl font-semibold">$10,000</h3>
+                                </div>
+                            </div>
+                        </div>
+                        <div class="bg-white rounded-lg shadow p-4">
+                            <div class="flex items-center">
+                                <div class="bg-blue-100 p-3 rounded-full mr-3">
+                                    <i class="fas fa-chart-bar text-blue-600"></i>
+                                </div>
+                                <div>
+                                    <p class="text-gray-500 text-sm">Final Balance</p>
+                                    <h3 class="text-xl font-semibold" id="turtle-final-balance">$12,450</h3>
+                                </div>
+                            </div>
+                        </div>
+                        <div class="bg-white rounded-lg shadow p-4">
+                            <div class="flex items-center">
+                                <div class="bg-purple-100 p-3 rounded-full mr-3">
+                                    <i class="fas fa-percentage text-purple-600"></i>
+                                </div>
+                                <div>
+                                    <p class="text-gray-500 text-sm">Return</p>
+                                    <h3 class="text-xl font-semibold" id="turtle-return">24.5%</h3>
+                                </div>
+                            </div>
+                        </div>
+                        <div class="bg-white rounded-lg shadow p-4">
+                            <div class="flex items-center">
+                                <div class="bg-yellow-100 p-3 rounded-full mr-3">
+                                    <i class="fas fa-exchange-alt text-yellow-600"></i>
+                                </div>
+                                <div>
+                                    <p class="text-gray-500 text-sm">Total Trades</p>
+                                    <h3 class="text-xl font-semibold" id="turtle-trades">18</h3>
+                                </div>
+                            </div>
+                        </div>
+                    </div>
+                    <!-- Price Chart with Signals -->
+                    <div class="bg-white rounded-xl shadow-md p-6 mb-8">
+                        <div class="flex justify-between items-center mb-4">
+                            <h2 class="text-2xl font-semibold text-gray-800" id="turtle-chart-title">Stock Price with Turtle Trading Signals</h2>
+                            <div class="flex space-x-2">
+                                <button class="time-period-btn px-3 py-1 bg-blue-100 text-blue-700 rounded-md text-sm" data-period="1m">1M</button>
+                                <button class="time-period-btn px-3 py-1 bg-blue-600 text-white rounded-md text-sm" data-period="6m">6M</button>
+                                <button class="time-period-btn px-3 py-1 bg-blue-100 text-blue-700 rounded-md text-sm" data-period="1y">1Y</button>
+                                <button class="time-period-btn px-3 py-1 bg-blue-100 text-blue-700 rounded-md text-sm" data-period="all">All</button>
+                            </div>
+                        </div>
+                        <div class="h-96">
+                            <canvas id="turtleChart"></canvas>
+                        </div>
+                    </div>
+                    <!-- Trade Log -->
+                    <div class="bg-white rounded-xl shadow-md p-6">
+                        <h2 class="text-2xl font-semibold text-gray-800 mb-4">Trade Execution Log</h2>
+                        <div class="overflow-x-auto">
+                            <table class="min-w-full divide-y divide-gray-200">
+                                <thead class="bg-gray-50">
+                                    <tr>
+                                        <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Date</th>
+                                        <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Action</th>
+                                        <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Units</th>
+                                        <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Price</th>
+                                        <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Value</th>
+                                        <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Return</th>
+                                        <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Balance</th>
+                                    </tr>
+                                </thead>
+                                <tbody id="turtle-trades-body" class="bg-white divide-y divide-gray-200">
+                                    <!-- Trade rows will be inserted here by JavaScript -->
+                                </tbody>
+                            </table>
+                        </div>
+                    </div>
+                </div>
+                <!-- Moving Average View (hidden by default) -->
+                <div class="strategy-view hidden" id="moving-average-view">
+                    <!-- Similar structure as turtle-view but for moving average strategy -->
+                </div>
+                <!-- Comparison View (hidden by default) -->
+                <div class="strategy-view hidden" id="comparison-view">
+                    <!-- Similar structure but comparing both strategies -->
+                </div>
+            </div>
+        </main>
+        <!-- Footer -->
+        <footer class="gradient-bg text-white py-6">
+            <div class="container mx-auto px-4">
+                <div class="flex flex-col md:flex-row justify-between items-center">
+                    <div class="mb-4 md:mb-0">
+                        <h2 class="text-xl font-bold">Trading Agent Dashboard</h2>
+                        <p class="text-blue-200">Machine Learning in Asset Management</p>
+                    </div>
+                    <div class="flex space-x-4">
+                        <a href="#" class="text-blue-200 hover:text-white"><i class="fab fa-github fa-lg"></i></a>
+                        <a href="#" class="text-blue-200 hover:text-white"><i class="fab fa-linkedin fa-lg"></i></a>
+                        <a href="#" class="text-blue-200 hover:text-white"><i class="fab fa-twitter fa-lg"></i></a>
+                    </div>
+                </div>
+                <div class="border-t border-blue-800 mt-6 pt-6 text-center text-blue-200 text-sm">
+                    <p>© 2023 Trading Agent Dashboard. Stock data provided by Yahoo Finance.</p>
+                </div>
+            </div>
+        </footer>
+    </div>
+    <script>
+        // Set current date
+        document.getElementById('current-date').textContent = new Date().toLocaleDateString('en-US', {
+            year: 'numeric',
+            month: 'long',
+            day: 'numeric'
+        });
+        // Strategy selector
+        const strategyCards = document.querySelectorAll('.strategy-card');
+        const strategyViews = document.querySelectorAll('.strategy-view');
+        strategyCards.forEach(card => {
+            card.addEventListener('click', function() {
+                // Remove active class from all cards
+                strategyCards.forEach(c => c.classList.remove('border-blue-500', 'ring-2', 'ring-blue-300'));
+                // Add active class to clicked card
+                this.classList.add('border-blue-500', 'ring-2', 'ring-blue-300');
+                // Hide all views
+                strategyViews.forEach(view => view.classList.add('hidden'));
+                // Show selected view
+                const strategy = this.getAttribute('data-strategy');
+                document.getElementById(`${strategy}-view`).classList.remove('hidden');
+            });
+        });
+        // Stock search functionality
+        document.getElementById('search-stock').addEventListener('click', function() {
+            const symbol = document.getElementById('stock-symbol').value.trim().toUpperCase();
+            const period = document.getElementById('time-period').value;
+            if (!symbol) {
+                document.getElementById('symbol-error').classList.remove('hidden');
+                document.getElementById('symbol-error-text').classList.remove('hidden');
+                return;
+            }
+            document.getElementById('symbol-error').classList.add('hidden');
+            document.getElementById('symbol-error-text').classList.add('hidden');
+            // Show loading indicator
+            document.getElementById('loading-indicator').classList.remove('hidden');
+            document.getElementById('strategy-selector').classList.add('hidden');
+            document.getElementById('dashboard-content').classList.add('hidden');
+            // Simulate API call with setTimeout (in a real app, you'd use fetch or axios)
+            setTimeout(() => {
+                // Hide loading indicator
+                document.getElementById('loading-indicator').classList.add('hidden');
+                // Show stock info
+                document.getElementById('stock-info').classList.remove('hidden');
+                document.getElementById('stock-name').textContent = `${symbol} Company Name`;
+                document.getElementById('stock-symbol-display').textContent = `${symbol} | NYSE`;
+                document.getElementById('current-price').textContent = `$152.75`;
+                // Random price change for demo
+                const changePercent = (Math.random() * 4 - 2).toFixed(2);
+                const changeElement = document.getElementById('price-change');
+                changeElement.textContent = `${changePercent}%`;
+                if (changePercent >= 0) {
+                    changeElement.classList.add('bg-green-100', 'text-green-800');
+                } else {
+                    changeElement.classList.add('bg-red-100', 'text-red-800');
+                }
+                // Update strategy selector and dashboard
+                document.getElementById('strategy-selector').classList.remove('hidden');
+                document.getElementById('dashboard-content').classList.remove('hidden');
+                // Update chart titles with the new symbol
+                document.getElementById('turtle-chart-title').textContent = `${symbol} Price with Turtle Trading Signals`;
+                // Generate random performance data for demo
+                const finalBalance = (10000 + Math.random() * 5000).toFixed(2);
+                const returnPercent = ((finalBalance - 10000) / 10000 * 100).toFixed(2);
+                const tradeCount = Math.floor(Math.random() * 15) + 5;
+                document.getElementById('turtle-final-balance').textContent = `$${finalBalance}`;
+                document.getElementById('turtle-return').textContent = `${returnPercent}%`;
+                document.getElementById('turtle-trades').textContent = tradeCount;
+                // Generate random trades for demo
+                const tradesBody = document.getElementById('turtle-trades-body');
+                tradesBody.innerHTML = '';
+                const startPrice = 100 + Math.random() * 50;
+                let currentBalance = 10000;
+                let sharesOwned = 0;
+                for (let i = 0; i < tradeCount; i++) {
+                    const isBuy = i % 2 === 0;
+                    const date = new Date();
+                    date.setDate(date.getDate() - (tradeCount - i) * 3);
+                    const price = (startPrice + (i * 2) + (Math.random() * 5 - 2.5)).toFixed(2);
+                    const shares = Math.floor(Math.random() * 10) + 1;
+                    const value = (shares * price).toFixed(2);
+                    let returnPercent = '';
+                    let rowClass = '';
+                    if (isBuy) {
+                        rowClass = 'signal-buy';
+                        sharesOwned += shares;
+                        currentBalance -= shares * price;
+                    } else {
+                        rowClass = 'signal-sell';
+                        const buyPrice = (price - 5 - Math.random() * 5).toFixed(2);
+                        returnPercent = (((price - buyPrice) / buyPrice) * 100).toFixed(2);
+                        sharesOwned -= shares;
+                        currentBalance += shares * price;
+                    }
+                    const row = document.createElement('tr');
+                    row.className = rowClass;
+                    row.innerHTML = `
+                        <td class="px-6 py-4 whitespace-nowrap">${date.toLocaleDateString()}</td>
+                        <td class="px-6 py-4 whitespace-nowrap">
+                            <span class="px-2 py-1 ${isBuy ? 'bg-green-100 text-green-800' : 'bg-red-100 text-red-800'} rounded-full text-xs">
+                                ${isBuy ? 'BUY' : 'SELL'}
+                            </span>
+                        </td>
+                        <td class="px-6 py-4 whitespace-nowrap">${shares}</td>
+                        <td class="px-6 py-4 whitespace-nowrap">$${price}</td>
+                        <td class="px-6 py-4 whitespace-nowrap">$${value}</td>
+                        <td class="px-6 py-4 whitespace-nowrap">${returnPercent || '-'}${returnPercent ? '%' : ''}</td>
+                        <td class="px-6 py-4 whitespace-nowrap">$${currentBalance.toFixed(2)}</td>
+                    `;
+                    tradesBody.appendChild(row);
+                }
+                // Update charts with new data
+                updateCharts(symbol, period);
+            }, 1500); // Simulate network delay
+        });
+        function updateCharts(symbol, period) {
+            // Generate random chart data based on period
+            let labels = [];
+            let prices = [];
+            let buySignals = [];
+            let sellSignals = [];
+            const now = new Date();
+            let pointCount = 20;
+            if (period === '1m') pointCount = 20;
+            else if (period === '3m') pointCount = 60;
+            else if (period === '6m') pointCount = 120;
+            else if (period === '1y') pointCount = 240;
+            else pointCount = 500;
+            let basePrice = 100 + Math.random() * 50;
+            for (let i = 0; i < pointCount; i++) {
+                const date = new Date(now);
+                date.setDate(date.getDate() - (pointCount - i));
+                labels.push(date.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }));
+                // Random price movement
+                basePrice += Math.random() * 2 - 1;
+                prices.push(basePrice);
+                // Random buy/sell signals for demo
+                if (i > 0 && i % 5 === 0) {
+                    buySignals.push({ x: i, y: basePrice - 2 });
+                    sellSignals.push({ x: i + 3, y: basePrice + 2 });
+                } else {
+                    buySignals.push(null);
+                    sellSignals.push(null);
+                }
+            }
+            // Turtle Trading Chart
+            const turtleCtx = document.getElementById('turtleChart').getContext('2d');
+            // Destroy previous chart if it exists
+            if (window.turtleChart) {
+                window.turtleChart.destroy();
+            }
+            window.turtleChart = new Chart(turtleCtx, {
+                type: 'line',
+                data: {
+                    labels: labels,
+                    datasets: [
+                        {
+                            label: `${symbol} Close Price`,
+                            data: prices,
+                            borderColor: '#3b82f6',
+                            backgroundColor: 'rgba(59, 130, 246, 0.1)',
+                            borderWidth: 2,
+                            fill: true,
+                            tension: 0.1
+                        },
+                        {
+                            label: 'Buy Signals',
+                            data: buySignals,
+                            borderColor: '#10b981',
+                            backgroundColor: '#10b981',
+                            borderWidth: 2,
+                            pointRadius: 6,
+                            pointHoverRadius: 8,
+                            showLine: false
+                        },
+                        {
+                            label: 'Sell Signals',
+                            data: sellSignals,
+                            borderColor: '#ef4444',
+                            backgroundColor: '#ef4444',
+                            borderWidth: 2,
+                            pointRadius: 6,
+                            pointHoverRadius: 8,
+                            showLine: false
+                        }
+                    ]
+                },
+                options: {
+                    responsive: true,
+                    maintainAspectRatio: false,
+                    plugins: {
+                        legend: {
+                            position: 'top',
+                        },
+                        tooltip: {
+                            mode: 'index',
+                            intersect: false,
+                        }
+                    },
+                    scales: {
+                        y: {
+                            beginAtZero: false,
+                            grid: {
+                                drawBorder: false
+                            }
+                        },
+                        x: {
+                            grid: {
+                                display: false
+                            }
+                        }
+                    }
+                }
+            });
+        }
+        // Time period buttons
+        document.querySelectorAll('.time-period-btn').forEach(btn => {
+            btn.addEventListener('click', function() {
+                // Update button styles
+                document.querySelectorAll('.time-period-btn').forEach(b => {
+                    b.classList.remove('bg-blue-600', 'text-white');
+                    b.classList.add('bg-blue-100', 'text-blue-700');
+                });
+                this.classList.remove('bg-blue-100', 'text-blue-700');
+                this.classList.add('bg-blue-600', 'text-white');
+                // Get current symbol and update chart
+                const symbol = document.getElementById('stock-symbol').value.trim().toUpperCase();
+                const period = this.getAttribute('data-period');
+                if (symbol) {
+                    updateCharts(symbol, period);
+                }
+            });
+        });
+    </script>
+<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=MarcRyan/tad" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
+</html>

prompts.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ ## Further recommendation, test multiple frameworks, see what works better on average. ## Open source RL: https://docs.google.com/spreadsheets/d/1EeFPd-XIQ3mq_9snTlAZSsFY7Hbnmd7P5bbT8LPuMn0/edit#gid=0 import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns sns.set() This notebook is part of a series on machine learning asset managment. https://ssrn.com/abstract=3420952 I have had some enquiries about future releases, I will post future content on the FirmAI Linkedin page. !pip install yfinance --upgrade --no-cache-dir Collecting yfinance Downloading https://files.pythonhosted.org/packages/74/f8/cdfaf864e77b9f8a7688b07a3b990321e56b30bb316d7d241f584f330cd1/yfinance-0.1.43.tar.gz Requirement already satisfied, skipping upgrade: pandas>=0.24 in /usr/local/lib/python3.6/dist-packages (from yfinance) (0.24.2) Requirement already satisfied, skipping upgrade: numpy>=1.15 in /usr/local/lib/python3.6/dist-packages (from yfinance) (1.16.4) Requirement already satisfied, skipping upgrade: requests>=2.20 in /usr/local/lib/python3.6/dist-packages (from yfinance) (2.21.0) Requirement already satisfied, skipping upgrade: multitasking>=0.0.7 in /usr/local/lib/python3.6/dist-packages (from yfinance) (0.0.9) Requirement already satisfied, skipping upgrade: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas>=0.24->yfinance) (2018.9) Requirement already satisfied, skipping upgrade: python-dateutil>=2.5.0 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.24->yfinance) (2.5.3) Requirement already satisfied, skipping upgrade: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->yfinance) (3.0.4) Requirement already satisfied, skipping upgrade: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->yfinance) (2.8) Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->yfinance) (2019.6.16) Requirement already satisfied, skipping upgrade: urllib3<1.25,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->yfinance) (1.24.3) Requirement already satisfied, skipping upgrade: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.5.0->pandas>=0.24->yfinance) (1.12.0) Building wheels for collected packages: yfinance Building wheel for yfinance (setup.py) ... done Stored in directory: /tmp/pip-ephem-wheel-cache-u0vc464v/wheels/e8/9b/5a/a0dc81508455c34afcf2833513c3b9de3f39662d9ee2f92612 Successfully built yfinance Installing collected packages: yfinance Successfully installed yfinance-0.1.43 ## Save future files to your drive ## In this notebook control for multiple testing import numpy as np from google.colab import drive drive.mount('/content/drive',force_remount=True) %cd "/content/drive/My Drive/FirmAI/FinML/Data/Agent Trading" Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code Enter your authorization code: ·········· Mounted at /content/drive /content/drive/My Drive/FirmAI/FinML/Data/Agent Trading from pandas_datareader import data as pdr import fix_yahoo_finance as yf yf.pdr_override() df_full = pdr.get_data_yahoo("JPM", start="2018-01-01").reset_index() df_full.to_csv('output/JPM.csv',index=False) df_full.head() df= df_full.copy() name = 'Turtle Trading Agent' count = int(np.ceil(len(df) * 0.1)) signals = pd.DataFrame(index=df.index) signals['signal'] = 0.0 signals['trend'] = df['Close'] signals['RollingMax'] = (signals.trend.shift(1).rolling(count).max()) signals['RollingMin'] = (signals.trend.shift(1).rolling(count).min()) signals.loc[signals['RollingMax'] < signals.trend, 'signal'] = -1 signals.loc[signals['RollingMin'] > signals.trend, 'signal'] = 1 signalsdef buy_stock( real_movement, signal, initial_money = 10000, max_buy = 1, max_sell = 1, ): """ real_movement = actual movement in the real world delay = how much interval you want to delay to change our decision from buy to sell, vice versa initial_state = 1 is buy, 0 is sell initial_money = 1000, ignore what kind of currency max_buy = max quantity for share to buy max_sell = max quantity for share to sell """ starting_money = initial_money states_sell = [] states_buy = [] current_inventory = 0 def buy(i, initial_money, current_inventory): shares = initial_money // real_movement[i] if shares < 1: print( 'day %d: total balances %f, not enough money to buy a unit price %f' % (i, initial_money, real_movement[i]) ) else: if shares > max_buy: buy_units = max_buy else: buy_units = shares initial_money -= buy_units * real_movement[i] current_inventory += buy_units print( 'day %d: buy %d units at price %f, total balance %f' % (i, buy_units, buy_units * real_movement[i], initial_money) ) states_buy.append(0) return initial_money, current_inventory for i in range(real_movement.shape[0] - int(0.025 * len(df))): state = signal[i] if state == 1: initial_money, current_inventory = buy( i, initial_money, current_inventory ) states_buy.append(i) elif state == -1: if current_inventory == 0: print('day %d: cannot sell anything, inventory 0' % (i)) else: if current_inventory > max_sell: sell_units = max_sell else: sell_units = current_inventory current_inventory -= sell_units total_sell = sell_units * real_movement[i] initial_money += total_sell try: invest = ( (real_movement[i] - real_movement[states_buy[-1]]) / real_movement[states_buy[-1]] ) * 100 except: invest = 0 print( 'day %d, sell %d units at price %f, investment %f %%, total balance %f,' % (i, sell_units, total_sell, invest, initial_money) ) states_sell.append(i) invest = ((initial_money - starting_money) / starting_money) * 100 total_gains = initial_money - starting_money return states_buy, states_sell, total_gains, invest df= df_full.copy() name = 'Moving Average agent' short_window = int(0.025 * len(df)) long_window = int(0.05 * len(df)) signals = pd.DataFrame(index=df.index) signals['signal'] = 0.0 signals['short_ma'] = df['Close'].rolling(window=short_window, min_periods=1, center=False).mean() signals['long_ma'] = df['Close'].rolling(window=long_window, min_periods=1, center=False).mean() signals['signal'][short_window:] = np.where(signals['short_ma'][short_window:] > signals['long_ma'][short_window:], 1.0, 0.0) signals['positions'] = signals['signal'].diff() signals def buy_stock( real_movement, signal, initial_money = 10000, max_buy = 1, max_sell = 1, ): """ real_movement = actual movement in the real world delay = how much interval you want to delay to change our decision from buy to sell, vice versa initial_state = 1 is buy, 0 is sell initial_money = 1000, ignore what kind of currency max_buy = max quantity for share to buy max_sell = max quantity for share to sell """ starting_money = initial_money states_sell = [] states_buy = [] current_inventory = 0 def buy(i, initial_money, current_inventory): shares = initial_money // real_movement[i] if shares < 1: print( 'day %d: total balances %f, not enough money to buy a unit price %f' % (i, initial_money, real_movement[i]) ) else: if shares > max_buy: buy_units = max_buy else: buy_units = shares initial_money -= buy_units * real_movement[i] current_inventory += buy_units print( 'day %d: buy %d units at price %f, total balance %f' % (i, buy_units, buy_units * real_movement[i], initial_money) ) states_buy.append(0) return initial_money, current_inventory for i in range(real_movement.shape[0] - int(0.025 * len(df))): state = signal[i] if state == 1: initial_money, current_inventory = buy( i, initial_money, current_inventory ) states_buy.append(i) elif state == -1: if current_inventory == 0: print('day %d: cannot sell anything, inventory 0' % (i)) else: if current_inventory > max_sell: sell_units = max_sell else: sell_units = current_inventory current_inventory -= sell_units total_sell = sell_units * real_movement[i] initial_money += total_sell try: invest = ( (real_movement[i] - real_movement[states_buy[-1]]) / real_movement[states_buy[-1]] ) * 100 except: invest = 0 print( 'day %d, sell %d units at price %f, investment %f %%, total balance %f,' % (i, sell_units, total_sell, invest, initial_money) ) states_sell.append(i) invest = ((initial_money - starting_money) / starting_money) * 100 total_gains = initial_money - starting_money return states_buy, states_sell, total_gains, invest
2	+ ensure i can request any stock