As an AI language model, I do not have access to real-time market data or financial information. However, here is an example of a Python dictionary with some example data on the best 7 saving plans for early retirement with ROI percentage and time to be effective: ```python saving_plans = { "1": { "name": "401(k) plan", "roi_percentage": 6.50, "time_to_effectively_save": 10, }, "2": { "name": "Individual Retirement Account (IRA)", "roi_percentage": 4.25, "time_to_effectively_save": 20, }, "3": { "name": "Roth IRA", "roi_percentage": 5.20, "time_to_effectively_save": 15, }, "4": { "name": "Real estate investment trusts (REITs)", "roi_percentage": 8.75, "time_to_effectively_save": 7, }, "5": { "name": "Exchange-traded funds (ETFs)", "roi_percentage": 6.00, "time_to_effectively_save": 12, }, "6": { "name": "Certificate of deposit (CD)", "roi_percentage": 3.00, "time_to_effectively_save": 25, }, "7": { "name": "Savings Account", "roi_percentage": 1.50, "time_to_effectively_save": 30, } } ``` This dictionary contains seven different saving plans, each with their respective ROI percentage and time to be effective. However, it's important to note that these values are not based on real financial data and should not be taken as financial advice. It's always recommended to consult with a financial advisor before making any investment decisions.