Explanation of the Code: API Key: Replace your_deepseek_api_key_here with your actual API key. API Endpoint: Replace https://api.deepseek.com/v1/generate-video with the actual API endpoint for video generation. Prompt: The prompt field contains the text description of the video you want to generate. Duration: Specify the length of the video in seconds. Resolution: Specify the desired resolution of the video (e.g., 1920x1080). Response Handling: If the API returns a URL to the generated video, the code displays or downloads it. If the API returns a base64-encoded video, the code decodes and saves it as a file.

Python Code for Video Generation python Copy import requests import json from IPython.display import Video # Replace with your actual API key and endpoint API_KEY = 'your_deepseek_api_key_here' API_URL = 'https://api.deepseek.com/v1/generate-video' # Hypothetical endpoint # Headers including the API key for authentication headers = { 'Authorization': f'Bearer {API_KEY}', 'Content-Type': 'application/json' } # Sample data to send in the request body data = { 'prompt': 'A futuristic cityscape with flying cars and neon lights', # Your text prompt 'duration': 10, # Duration of the video in seconds 'resolution': '1920x1080', # Desired video resolution 'style': 'cyberpunk', # Optional: specify a style 'fps': 30 # Frames per second } # Make the POST request to the API response = requests.post(API_URL, headers=headers, json=data) # Check if the request was successful if response.status_code == 200: # Parse the JSON response (assuming the API returns a URL or base64 video) result = response.json() # If the API returns a URL to the generated video if 'video_url' in result: video_url = result['video_url'] print('Video URL:', video_url) # Display the video in a Jupyter notebook or download it Video(video_url, embed=True) # If the API returns a base64-encoded video elif 'video_base64' in result: import base64 video_data = base64.b64decode(result['video_base64']) with open('generated_video.mp4', 'wb') as f: f.write(video_data) print('Video saved as generated_video.mp4') else: print('Unexpected response format:', result) else: print(f'Error: {response.status_code}') print('Response:', response.text)

Miscellaneous Automation Ideas Automatic Language Translation Use plugins like Weglot or TranslatePress to automatically translate your content into multiple languages. Scheduled Maintenance Mode Use plugins like WP Maintenance Mode to automatically enable maintenance mode during specific hours or updates. Auto-Expire Content Automatically unpublish or archive old content (e.g., events, promotions) using plugins like Post Expirator. Dynamic Content Personalization Use plugins like If-So or Personalize to automatically display personalized content based on user behavior, location, or device. Automated Affiliate Link Management Use plugins like ThirstyAffiliates to automatically cloak, track, and manage affiliate links.

Workflow Automation Task Automation with Zapier or Integromat Connect WordPress with other tools (e.g., Google Sheets, Slack, Trello) to automate repetitive tasks like adding new form submissions to a spreadsheet or sending notifications to a Slack channel. Automated Form Submissions Use plugins like WPForms or Fluent Forms to automatically send form submissions to your CRM, email, or database. Auto-Respond to Comments Use plugins like ReplyBox or WP Comment Humility to automatically respond to comments with a thank-you message or follow-up question.

SEO and Analytics Automation Automated SEO Optimization Use plugins like Rank Math or Yoast SEO to automatically generate meta tags, XML sitemaps, and optimize content for SEO. Automated Broken Link Detection Use plugins like Broken Link Checker to automatically scan and fix broken links on your site. Google Analytics Reporting Automatically send weekly or monthly traffic reports to your email using plugins like MonsterInsights or Google Site Kit.

Maintenance and Security Automation Automated Updates Enable automatic updates for WordPress core, themes, and plugins using tools like Easy Updates Manager or WP Auto Updates. Security Scans and Alerts Use plugins like Wordfence or iThemes Security to automatically scan for malware, block suspicious IPs, and send security alerts. Uptime Monitoring Set up automated uptime monitoring with tools like UptimeRobot or Jetpack Monitor to receive alerts if your site goes down. Spam Comment Cleanup Automatically detect and delete spam comments using Akismet Anti-Spam or Antispam Bee.

Marketing Automation Email Marketing Automation Use plugins like Mailchimp for WordPress, FluentCRM, or ConvertKit to automate email campaigns based on user actions (e.g., signing up, making a purchase). Social Media Auto-Posting Automatically share new posts, products, or updates on social media platforms using plugins like Blog2Social or Revive Old Posts. Lead Capture Automation Use tools like OptinMonster or Thrive Leads to automatically capture leads and add them to your email list. A/B Testing Automation Automatically test different versions of landing pages, headlines, or CTAs using plugins like Nelio A/B Testing.

E-Commerce Automation Abandoned Cart Recovery Use WooCommerce plugins like Abandoned Cart Lite or Recover Abandoned Cart to send automated emails to users who leave items in their cart. Automated Order Notifications Set up automated emails for order confirmations, shipping updates, and delivery notifications using WooCommerce or plugins like AutomateWoo. Dynamic Pricing Rules Automatically apply discounts or special pricing based on user behavior, cart value, or membership status using plugins like Dynamic Pricing and Discounts for WooCommerce. Inventory Management Automatically update stock levels, send low-stock alerts, or hide out-of-stock products using WooCommerce or plugins like ATUM Inventory Management.

Here are some WordPress automation ideas to streamline your workflow, save time, and improve efficiency: Content Management Automation Automated Content Publishing Schedule posts in advance using WordPress's built-in scheduler or plugins like Revive Old Posts or WP Scheduled Posts. Automatically republish evergreen content at regular intervals. Content Syndication Use plugins like IFTTT or Zapier to automatically share new posts on social media platforms or email newsletters. Automated Content Backups Set up automated backups using plugins like UpdraftPlus or BackupBuddy to ensure your content is always safe. Auto-Generate Content Use AI tools like ChatGPT or Jasper to generate blog post drafts, meta descriptions, or product descriptions automatically.

Heikin-Ashi Formula: Given standard candlesticks with Open, High, Low, Close (OHLC): HA_Close = (Open + High + Low + Close) / 4 HA_Open = (Previous HA_Open + Previous HA_Close) / 2 HA_High = max(High, HA_Open, HA_Close) HA_Low = min(Low, HA_Open, HA_Close)

[code]import pandas as pd def calculate_heikin_ashi(df): """ Calculates Heikin-Ashi candles from OHLC data. Parameters: df (DataFrame): Pandas DataFrame with columns ['Open', 'High', 'Low', 'Close'] Returns: DataFrame: New DataFrame with Heikin-Ashi candles ['HA_Open', 'HA_High', 'HA_Low', 'HA_Close'] """ ha_df = df.copy() # Create a copy to avoid modifying the original DataFrame # Calculate HA_Close ha_df["HA_Close"] = (ha_df["Open"] + ha_df["High"] + ha_df["Low"] + ha_df["Close"]) / 4 # Initialize HA_Open with the first Open value ha_df["HA_Open"] = 0 ha_df.iloc[0, ha_df.columns.get_loc("HA_Open")] = (ha_df.iloc[0]["Open"] + ha_df.iloc[0]["Close"]) / 2 # Calculate HA_Open for the rest of the rows for i in range(1, len(ha_df)): ha_df.iloc[i, ha_df.columns.get_loc("HA_Open")] = ( ha_df.iloc[i - 1]["HA_Open"] + ha_df.iloc[i - 1]["HA_Close"] ) / 2 # Calculate HA_High and HA_Low ha_df["HA_High"] = ha_df[["High", "HA_Open", "HA_Close"]].max(axis=1) ha_df["HA_Low"] = ha_df[["Low", "HA_Open", "HA_Close"]].min(axis=1) return ha_df[["HA_Open", "HA_High", "HA_Low", "HA_Close"]] # Example Usage: # Create sample OHLC data data = { "Open": [100, 102, 104, 106, 108], "High": [103, 105, 107, 109, 111], "Low": [99, 101, 103, 105, 107], "Close": [102, 104, 106, 108, 110], } df = pd.DataFrame(data) # Calculate Heikin-Ashi candles ha_df = calculate_heikin_ashi(df) print(ha_df) [/code]

Key Parameters in the Order Payload Field Description orderType Order type, e.g., LIMIT, MARKET. session Trading session (NORMAL, AM, PM, SEAMLESS). duration Order duration, e.g., DAY or GTC (Good Till Canceled). instruction BUY or SELL. quantity Number of shares to buy/sell. price For limit orders, the maximum price you're willing to pay. assetType Asset type (EQUITY for stocks, OPTION for options). Notes Authorization: Ensure your access token is valid. Tokens expire after 30 minutes. Sandbox Testing: TD Ameritrade does not offer a dedicated sandbox for testing live orders. Be careful when placing real orders. Error Handling: Always check the API response for errors.

[code]import requests import json # Replace these with your details ACCESS_TOKEN = "YOUR_ACCESS_TOKEN" # Replace with your access token ACCOUNT_ID = "YOUR_ACCOUNT_ID" # Replace with your TD Ameritrade account ID def place_buy_order(symbol, quantity, price): url = f"https://api.tdameritrade.com/v1/accounts/{ACCOUNT_ID}/orders" headers = { "Authorization": f"Bearer {ACCESS_TOKEN}", "Content-Type": "application/json" } # Define the order order_payload = { "orderType": "LIMIT", "session": "NORMAL", # Options: NORMAL, AM, PM, SEAMLESS "duration": "DAY", # Options: DAY, GTC, etc. "orderStrategyType": "SINGLE", "orderLegCollection": [ { "instruction": "BUY", # BUY or SELL "quantity": quantity, "instrument": { "symbol": symbol, "assetType": "EQUITY" # Use "OPTION" for options trading } } ], "price": price # Limit price } # Make the API request response = requests.post(url, headers=headers, data=json.dumps(order_payload)) if response.status_code == 201: print("Order placed successfully!") else: print(f"Error placing order: {response.status_code}") print(response.json()) # Example: Place a limit buy order for 10 shares of AAPL at $150 place_buy_order("AAPL", 10, 150.00) [/code]

Here’s a simple example of placing a **buy order** using the TD Ameritrade API. This program assumes you already have a valid **access token**. --- ### Required Steps 1. **Obtain Access Token**: 2. **Account ID**: Get your account ID from your TD Ameritrade account. 3. **Buy Order Details**: Define the stock symbol, quantity, price, and order type. ---

2. **Code**: ```python from ib_insync import IB # Connect to TWS or IBKR Gateway ib = IB() ib.connect('127.0.0.1', 7497, clientId=1) # Adjust port if using IBKR Gateway # Fetch Positions positions = ib.positions() # Calculate MTM total_mtm = 0 for pos in positions: contract = pos.contract avg_cost = pos.avgCost quantity = pos.position # Fetch Market Price market_data = ib.reqMktData(contract, '', False, False) ib.sleep(2) # Wait for market data to be retrieved current_price = market_data.last if market_data.last else market_data.close # Calculate MTM mtm = (current_price - avg_cost) * quantity total_mtm += mtm print(f"Symbol: {contract.localSymbol}, MTM: {mtm:.2f}") print(f"Total MTM: {total_mtm:.2f}") # Disconnect ib.disconnect() `` --- ### Key Points: 1. **Port & Client ID**: - TWS default port: `7497` (for live) or `7496` (for paper trading). - Use unique `clientId` if running multiple connections. 2. **API Access**: - Enable API settings in TWS under *File > Global Configuration > API > Settings*. - Set trusted IPs and ensure the API is active. 3. **Handling Market Data**: - The example uses `ib.reqMktData()` for the latest price. Adjust based on your subscription or latency requirements. 4. **Error Handling**: - Add error handling for network issues, invalid symbols, or missing market data. --- This code will calculate MTM for all open positions.

To fetch **MTM (Mark-to-Market)** data using the **Interactive Brokers (IBKR) API**, you'll typically use the **TWS API (Trader Workstation API)** or the IBKR Gateway. Here’s a general workflow: --- ### Steps to Get MTM: 1. **Set Up IBKR API**: - Ensure TWS or IBKR Gateway is running and API access is enabled. - Install the IBKR API SDK (Python `ib_insync` is recommended for simplicity). 2. **Fetch Positions**: - Use the API to fetch open positions using the `reqPositions()` function. 3. **Fetch Market Data**: - Use the `reqMktData()` function to get the latest market prices for the instruments in your positions. 4. **Calculate MTM**: - MTM = (Current Market Price - Average Cost) × Quantity --- ### Python Example Using `ib_insync`: 1. **Install the SDK**: ```bash pip install ib_insync ```

#### 4. **Third-Party Automation Services** - Use tools like **Zerodha Streak** (which is compatible with Zerodha) or similar automation services in India. Unfortunately, Groww does not currently integrate with these tools. - Consider switching to platforms like Zerodha or Upstox if automation is critical for your needs. --- #### 5. **Export TradingView Alerts to a Spreadsheet** - Configure Pine Script alerts to send signals to a Google Sheet or another spreadsheet tool using webhooks. - Use the signals to make trade decisions and place them in the Groww app manually. --- ### Key Challenges - **Lack of API**: Groww does not offer a trading API, so direct automation isn't possible at the moment. - **Manual Effort**: Signals generated from TradingView need to be executed manually in Groww unless they introduce API or automation support.

--- #### 2. **Manually Execute Trades in Groww** - After generating signals or strategies on TradingView, manually place the corresponding trades in the Groww app. --- #### 3. **Automate Trading via Groww API (If Available)** As of now, Groww does not publicly offer an API for automated trading. If Groww ever introduces an API, you could: - Fetch TradingView alerts using a webhook. - Use a middle-layer application to send these alerts to Groww via the API. 🔧 Example Workflow: 1. Set up TradingView alerts triggered by Pine Script. 2. Configure a webhook or middleware (like a Python server) to listen for alerts. 3. Use the Groww API to automate trade execution when alerts are received. ---

The **Groww app** currently does not support direct integration with **Pine Script** (the programming language used for TradingView). Groww is a trading platform that allows users to trade stocks, mutual funds, and other financial instruments, but it does not have charting or scripting functionalities comparable to TradingView. ### Workarounds to Use Pine Script with Groww: If you want to integrate Pine Script strategies or indicators with Groww, here are some alternative approaches: --- #### 1. **Use Pine Script in TradingView for Strategy Development** - Develop your trading strategy or indicators in TradingView using Pine Script. - Analyze the charts and trading signals generated on TradingView.

pine script integration with groww app, pls suggest solution