Prediction and model training work

2026-08-06 17:22:57 +03:00
parent fddcc9190a
commit 465e09fc82
13 changed files with 1689 additions and 403 deletions
@@ -0,0 +1,164 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "c8a08105",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from alpaca.trading.client import TradingClient\n",
+    "\n",
+    "load_dotenv()\n",
+    "\n",
+    "# Set paper=True for paper trading (sandbox), paper=False for live trading\n",
+    "trading_client = TradingClient(\n",
+    "    api_key=os.getenv(\"ALPACA_API_KEY\"),\n",
+    "    secret_key=os.getenv(\"ALPACA_SECRET_KEY\"),\n",
+    "    paper=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "49b14380",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "No open positions.\n"
+     ]
+    }
+   ],
+   "source": [
+    "positions = trading_client.get_all_positions()\n",
+    "\n",
+    "if not positions:\n",
+    "    print(\"No open positions.\")\n",
+    "else:\n",
+    "    print(\"Current Portfolio Positions:\")\n",
+    "    for pos in positions:\n",
+    "        print(\n",
+    "            f\"Symbol: {pos.symbol:<5} | \"\n",
+    "            f\"Qty: {pos.qty:<5} | \"\n",
+    "            f\"Avg Entry Price: ${float(pos.avg_entry_price):.2f} | \"\n",
+    "            f\"Current Price: ${float(pos.current_price):.2f} | \"\n",
+    "            f\"Unrealized P/L: ${float(pos.unrealized_pl):.2f}\"\n",
+    "        )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "c032239c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "99997.95 99997.95\n"
+     ]
+    }
+   ],
+   "source": [
+    "account = trading_client.get_account()\n",
+    "print(\n",
+    "    account.cash,\n",
+    "    account.equity\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "c759e40f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "No open orders found.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from alpaca.trading.requests import GetOrdersRequest\n",
+    "from alpaca.trading.enums import QueryOrderStatus\n",
+    "\n",
+    "# Request only open orders\n",
+    "request_params = GetOrdersRequest(status=QueryOrderStatus.OPEN)\n",
+    "open_orders = trading_client.get_orders(filter=request_params)\n",
+    "\n",
+    "if not open_orders:\n",
+    "    print(\"No open orders found.\")\n",
+    "else:\n",
+    "    print(f\"Found {len(open_orders)} open order(s):\")\n",
+    "    for order in open_orders:\n",
+    "        print(\n",
+    "            f\"ID: {order.id} | Symbol: {order.symbol} | \"\n",
+    "            f\"Side: {order.side} | Qty: {order.qty} | Status: {order.status}\"\n",
+    "        )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "091cf061",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Submitted Order ID: 4838c16d-7a12-4dc3-80cb-7c5d1dbecda3 | Status: OrderStatus.ACCEPTED\n"
+     ]
+    }
+   ],
+   "source": [
+    "from alpaca.trading.requests import MarketOrderRequest\n",
+    "from alpaca.trading.enums import OrderSide, TimeInForce\n",
+    "\n",
+    "# Define a market buy order for 10 shares of SPY\n",
+    "market_order_data = MarketOrderRequest(\n",
+    "    symbol=\"SPY\",\n",
+    "    notional=100.0,\n",
+    "    side=OrderSide.BUY,\n",
+    "    time_in_force=TimeInForce.DAY,\n",
+    ")\n",
+    "\n",
+    "# Submit the order\n",
+    "order = trading_client.submit_order(order_data=market_order_data)\n",
+    "\n",
+    "print(f\"Submitted Order ID: {order.id} | Status: {order.status}\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}