A Gently Used Couch ($COUCH) Live Price
Market capitalization of a coin is calculated by multiplying the current price in USD or EUR of a single unit of coin by the current circulating supply of that coin available for sale or purchase on public exchanges.
Ex: If the price of BTC is currently $20,000 and there are 50,000 BTC available on public exchanges, then the Market Cap of BTC is $1,000,000,000.
Volume of a coin is the total spot trading volume reported by all exchanges over the past 24 hours multiplied by the value of an individual unit of that coin.
Circulating supply is the approximate number of units of a coin that are currently circulating in the market in the hands of the general public.
Release date is when the first tokens of this cryptocurrency were created and made available for mining or whatever other creation mechanism was specified in this token’s blockchain protocol.
Data provided by Coingecko API
$COUCH price Statistics
A Gently Used Couch Price Today
Trading Volume
Popularity is based on the relative market cap of assets.
A Gently Used Couch Supply
Circulating supply shows the number of coins or tokens that have been issued so far.
A Gently Used Couch Market Cap
Market cap is calculated by multiplying the asset's circulating supply with its current price.
Fully Diluted
Market Cap
A Gently Used Couch Price Yesterday
A Gently Used Couch Price History
The highest price paid for this asset since it was launched or listed.
Data provided by Coingecko API
$COUCH to BRL converter
Data provided by Coingecko API
Ready to use
Start Trading $COUCH Safely with 3Commas
Use a proven backtested strategy for $COUCH or test your own before going live. Access historical data and performance insights to trade with confidence.
Breakout Strategy
Bybit
ROI
10.6%
PnL
$4,352.00
Win Rate
73%
Trades Closed
22
Max. floating drawdown
-2.10%
Total Fees
$67.49
Swing Trading Strategy
Binance Futures
ROI
3.8%
PnL
$2,587.00
Win Rate
98.93%
Trades Closed
93
Max. floating drawdown
-18.51%
Total Fees
$31.04
Scalping Strategy
Kraken
ROI
12.1%
PnL
$4,088.00
Win Rate
67.13%
Trades Closed
366
Max. floating drawdown
-4.51%
Total Fees
$81.33
Trend Following Strategy
Coinbase
ROI
8.4%
PnL
$5,247.00
Win Rate
100%
Trades Closed
13
Max. floating drawdown
-1.51%
Total Fees
$51.44
Day Trading Strategy
OKX
ROI
4.2%
PnL
$2,871.00
Win Rate
81.08%
Trades Closed
37
Max. floating drawdown
-7.20%
Total Fees
$23.83
Breakout Strategy
Bybit
ROI
10.6%
PnL
$4,352.00
Win Rate
73%
Trades Closed
22
Max. floating drawdown
-2.10%
Total Fees
$67.49
Swing Trading Strategy
Binance Futures
ROI
3.8%
PnL
$2,587.00
Win Rate
98.93%
Trades Closed
93
Max. floating drawdown
-18.51%
Total Fees
$31.04
Scalping Strategy
Kraken
ROI
12.1%
PnL
$4,088.00
Win Rate
67.13%
Trades Closed
366
Max. floating drawdown
-4.51%
Total Fees
$81.33
Trend Following Strategy
Coinbase
ROI
8.4%
PnL
$5,247.00
Win Rate
100%
Trades Closed
13
Max. floating drawdown
-1.51%
Total Fees
$51.44
Day Trading Strategy
OKX
ROI
4.2%
PnL
$2,871.00
Win Rate
81.08%
Trades Closed
37
Max. floating drawdown
-7.20%
Total Fees
$23.83
Breakout Strategy
Bybit
ROI
10.6%
PnL
$4,352.00
Win Rate
73%
Trades Closed
22
Max. floating drawdown
-2.10%
Total Fees
$67.49
Swing Trading Strategy
Binance Futures
ROI
3.8%
PnL
$2,587.00
Win Rate
98.93%
Trades Closed
93
Max. floating drawdown
-18.51%
Total Fees
$31.04
Scalping Strategy
Kraken
ROI
12.1%
PnL
$4,088.00
Win Rate
67.13%
Trades Closed
366
Max. floating drawdown
-4.51%
Total Fees
$81.33
Trend Following Strategy
Coinbase
ROI
8.4%
PnL
$5,247.00
Win Rate
100%
Trades Closed
13
Max. floating drawdown
-1.51%
Total Fees
$51.44
Day Trading Strategy
OKX
ROI
4.2%
PnL
$2,871.00
Win Rate
81.08%
Trades Closed
37
Max. floating drawdown
-7.20%
Total Fees
$23.83
Breakout Strategy
Bybit
ROI
10.6%
PnL
$4,352.00
Win Rate
73%
Trades Closed
22
Max. floating drawdown
-2.10%
Total Fees
$67.49
Swing Trading Strategy
Binance Futures
ROI
3.8%
PnL
$2,587.00
Win Rate
98.93%
Trades Closed
93
Max. floating drawdown
-18.51%
Total Fees
$31.04
Scalping Strategy
Kraken
ROI
12.1%
PnL
$4,088.00
Win Rate
67.13%
Trades Closed
366
Max. floating drawdown
-4.51%
Total Fees
$81.33
Trend Following Strategy
Coinbase
ROI
8.4%
PnL
$5,247.00
Win Rate
100%
Trades Closed
13
Max. floating drawdown
-1.51%
Total Fees
$51.44
Day Trading Strategy
OKX
ROI
4.2%
PnL
$2,871.00
Win Rate
81.08%
Trades Closed
37
Max. floating drawdown
-7.20%
Total Fees
$23.83
Real-Time A Gently Used Couch Price Chart ($COUCH to BRL)
A Gently Used Couch Exchanges
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A Gently Used Couch Historical Price Data (BRL)
Date | ||||
|---|---|---|---|---|
8/30/2025 | BRL 0.000066 | BRL 0 | BRL 0.000068 | BRL 0.000066 |
8/29/2025 | BRL 0.000066 | BRL 0.000066 | BRL 0.000066 | BRL 0.000066 |
Data provided by Coingecko API
Crypto fear & Greed Index
Historical Values
Next Update
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Explore Our Other Products for $COUCH
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Signal Bot
Execute your $COUCH trading strategy using webhook signals from any source or using a TradingView Strategy.
GRID Bot
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FAQ
Actual price of A Gently Used Couch to Brazilian Real now is BRL 0.000066
A Gently Used Couch ticker is $COUCH
You can buy A Gently Used Couch on any exchange or via p2p transfer. And the best way to trade A Gently Used Couch is through a 3commas bot.
You should not expect to get rich with A Gently Used Couch or any other new technology. It is always important to be on your guard when something sounds too good to be true or goes against basic economic principles.
You should not expect to get rich with A Gently Used Couch or any other new technology. It is always important to be on your guard when something sounds too good to be true or goes against basic economic principles.
A Gently Used Couch ($COUCH) hit another all-time high over BRL 0.001299 in 15.10.2024.
A Gently Used Couch Market Cap is at a current level of 64,921, down from 64,921 yesterday. This is a change of 0.00% from yesterday.
Latest 24-hour trading of A Gently Used Couch ($COUCH) is BRL 7.
The current circulating supply of A Gently Used Couch is BRL 988,296,350 with the maximum amount of BRL 988,449,360.
A Gently Used Couch current Market rank is #10690. Popularity is currently based on relative market cap.
