Falcon Finance Price History

(FF)

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	$0.124886	$0.126467	$0.117788	$0.124141	$70.455M
2025-10-17	$0.137286	$0.142094	$0.122817	$0.125767	$112.291M
2025-10-16	$0.142115	$0.147987	$0.133593	$0.137100	$91.865M
2025-10-15	$0.153183	$0.156386	$0.139411	$0.142526	$128.712M
2025-10-14	$0.166668	$0.184714	$0.142908	$0.153474	$255.487M
2025-10-13	$0.128525	$0.175259	$0.129039	$0.166668	$6.473B
2025-10-12	$0.115045	$0.131277	$0.109702	$0.128525	$1.278B
2025-10-11	$0.122578	$0.123398	$0.062102	$0.115045	$529.113M
2025-10-10	$0.141477	$0.144244	$0.121807	$0.122232	$239.192M
2025-10-09	$0.154898	$0.165058	$0.14141	$0.141646	$188.645M
2025-10-08	$0.178440	$0.175163	$0.149054	$0.154852	$155.960M
2025-10-07	$0.185187	$0.191375	$0.172229	$0.178073	$125.690M
2025-10-06	$0.182657	$0.18661	$0.176157	$0.185187	$302.879M
2025-10-05	$0.182361	$0.185655	$0.176921	$0.183852	$176.687M
2025-10-04	$0.189005	$0.201173	$0.180251	$0.182258	$175.370M
2025-10-03	$0.180350	$0.189005	$0.174102	$0.188122	$189.433M
2025-10-02	$0.213361	$0.220795	$0.178036	$0.181468	$302.232M
2025-10-01	$0.162291	$0.220375	$0.157961	$0.212097	$603.065M
2025-09-30	$0.356492	$0.348861	$0.157914	$0.162624	$815.179M
2025-09-29	--	$0.770814	$0.335196	--	--

* Earliest data in range (UTC time)

** Latest data in range (UTC time)

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About FF historical price data

The FF 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 FF 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 FF price history data, its value surged to an all-time high of over $0.770814 in 2025-09-29. On the other hand, the lowest point in the FF price trajectory (often referred to as the “FF all-time low”) occurred in 2025-10-11. Anyone who purchased FF during that period would currently enjoy an impressive profit of $0.708712.

By design, the total supply of FF will reach 10,000M. As of now, the circulating supply of FF is approximately 2,340M.

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.

FF historical data examples

Here are some uses of FF historical data in FF trading

Technical analysis:

Traders use historical data to analyze trends and movements in the FF 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 FF 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 FF market. By using LBank’s FF historical dataset, traders can obtain minute-by-minute data such as open, high, low, and close prices for FF. 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 FF. They can also determine the volatility of FF, 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 FF trading bots:

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

How to analyze FF candlestick chart data

FF 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 FF historical data, when the FF 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 FF 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.