Florence Finance Medici Price History

(FFM)

Time period: 2024-10-18 ~ 2025-10-19

2024-10-18

2025-10-19

USD

Date	Open price*	Upper Price	Lower Price	Close price**	Vol
2025-10-18	$0.000677	$0.000693	$0.000638	$0.000670	$94.56869
2025-10-17	--	$0.000707	$0.000652	$0.000677	$20.64316
2025-10-16	$0.000648	$0.000732	$0.000640	--	--
2025-10-15	--	$0.000744	$0.000645	--	--
2025-10-14	$0.000673	$0.000772	$0.000648	$0.000721	$34.06541
2025-10-13	--	$0.000762	$0.000626	$0.000673	$227.2948
2025-10-12	--	$0.000712	$0.000607	--	--
2025-10-11	$0.000733	$0.000733	$0.000733	--	--
2025-10-10	$0.000744	$0.000748	$0.000732	$0.000733	$4.561010
2025-10-09	--	$0.000807	$0.000740	--	--
2025-10-08	--	$0.000810	$0.000755	--	--
2025-10-07	$0.000821	$0.000863	$0.000803	$0.000807	$61.14949
2025-10-06	$0.000780	$0.000835	$0.000717	$0.000821	$287.4724
2025-10-05	$0.000831	$0.000798	$0.000743	$0.000780	$101.9374
2025-10-04	--	$0.000840	$0.000725	$0.000831	$22.54862
2025-10-03	--	$0.000828	$0.000814	--	--
2025-10-02	$0.000795	$0.000819	$0.000788	$0.000814	$11.68112
2025-10-01	$0.000759	$0.000798	$0.000754	$0.000795	$27.67790
2025-09-30	$0.000792	$0.000806	$0.000756	$0.000759	$15.11403
2025-09-29	$0.000751	$0.000799	$0.000752	$0.000793	$19.48871

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About FFM historical price data

The FFM price history tracker allows cryptocurrency investors to conveniently monitor the performance of their investments. You can easily view the opening, highest, and closing prices of FFM over time, as well as the trading volume. In addition, you can instantly check the daily percentage change to easily identify days with higher volatility.

According to our FFM price history data, its value surged to an all-time high of over $0.130709 in 2024-03-30. On the other hand, the lowest point in the FFM price trajectory (often referred to as the “FFM all-time low”) occurred in 2025-04-09. Anyone who purchased FFM during that period would currently enjoy an impressive profit of $0.130240.

By design, the total supply of FFM will reach 1,000M. As of now, the circulating supply of FFM is approximately 206M.

All prices shown on this page come from trusted data provider LBank. When reviewing your investments, it is recommended not to rely on a single data source, as values may differ between providers.

Our historical Bitcoin price dataset includes 1-minute, 1-day, 1-week, and 1-month data (open/high/low/close/volume). These datasets have been rigorously tested to ensure consistency, integrity, and accuracy. The design is specifically for trading simulations and backtesting, available for free download and updated in real time.

FFM historical data examples

Here are some uses of FFM historical data in FFM trading

Technical analysis:

Traders use historical data to analyze trends and movements in the FFM market. They use charts and other visual tools to identify trends and determine when to enter or exit the market. One way to gain an advantage in this dynamic market is to visualize and analyze historical market data. To achieve this, historical data can be stored in GridDB and analyzed using Python scripts with various libraries, such as Matplotlib, Pandas, Numpy, and Scipy for data visualization.

Predicting FFM price based on historical data:

Historical data can also be used to predict future market trends. By analyzing past market behavior, traders can identify recurring patterns and make informed predictions about the direction of the FFM market. By using LBank’s FFM historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for FFM. These data can then be used to define and train price prediction models, helping users make informed trading decisions.

Risk management:

By obtaining historical data, traders can assess the risks of investing in FFM. They can also determine the volatility of FFM, allowing them to make sound investment decisions.

Portfolio management:

Historical data is also useful in portfolio management. By tracking investments over the long term, traders can identify underperforming assets and adjust portfolios to maximize returns.

Training FFM trading bots:

In addition, users can choose to download FFM historical cryptocurrency OHLC (open, high, low, close) data to train their own FFM trading bots, achieving outstanding performance in the market. With these tools and resources, traders can deeply study FFM’s historical data, gain valuable insights, and potentially improve their trading strategies.

How to analyze FFM candlestick chart data

FFM candlestick charts display time on the horizontal axis and price data on the vertical axis, similar to line and bar charts. A candlestick may have two different colors: green or red. A green candle indicates a price increase during the considered period, while a red candle indicates a price decrease.

The simple structure of candlestick charts can provide users with a wealth of information. For example, technical analysis may use candlestick chart data to identify potential trend reversals.

According to FFM historical data, when the FFM market shows bearish or bullish trends, conservative investors may choose to use capital-protected products such as Flexible and Locked to capture the trend at that time.

When FFM is in a sideways trend, using Open Futures and selecting a bullish product to take advantage of a slight upward trend, or choosing a bearish product to profit from a mild downward trend, may lead to better performance.