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 1508

Crypto Trading Bot Cracked

by TheMia - 07-14-2024 - 05:13 PM
#1
Features:

- Develop your Strategy: Write your strategy in python, using pandas. Example strategies to inspire you are available in the strategy repository.
- Download market data: Download historical data of the exchange and the markets your may want to trade with.
- Backtest: Test your strategy on downloaded historical data.
- Optimize: Find the best parameters for your strategy using hyperoptimization which employs machining learning methods. You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for your strategy.
- Select markets: Create your static list or use an automatic one based on top traded volumes and/or prices (not available during backtesting). You can also explicitly blacklist markets you don't want to trade.
- Run: Test your strategy with simulated money (Dry-Run mode) or deploy it with real money (Live-Trade mode).
- Run using Edge (optional module): The concept is to find the best historical trade expectancy by markets based on variation of the stop-loss and then allow/reject markets to trade. The sizing of the trade is based on a risk of a percentage of your capital.
- Control/Monitor: Use Telegram or a WebUI (start/stop the bot, show profit/loss, daily summary, current open trades results, etc.).
- Analyze: Further analysis can be performed on either Backtesting data or Freqtrade trading history (SQL database), including automated standard plots, and methods to load the data into interactive environments.

Working With: 
Binance
Bitmart
BingX
Gate.io
HTX 
Kraken
OKX
Bybit
Coinbase
MetaMask (Pancakeswap)
Trust
Phantom

 
Hidden Content
You must register or login to view this content.



VT: https://www.virustotal.com/gui/file-anal...MDk3MDc2Mw==
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#2
(07-14-2024 - 05:13 PM)TheMia Wrote: Features:

- Develop your Strategy: Write your strategy in python, using pandas. Example strategies to inspire you are available in the strategy repository.
- Download market data: Download historical data of the exchange and the markets your may want to trade with.
- Backtest: Test your strategy on downloaded historical data.
- Optimize: Find the best parameters for your strategy using hyperoptimization which employs machining learning methods. You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for your strategy.
- Select markets: Create your static list or use an automatic one based on top traded volumes and/or prices (not available during backtesting). You can also explicitly blacklist markets you don't want to trade.
- Run: Test your strategy with simulated money (Dry-Run mode) or deploy it with real money (Live-Trade mode).
- Run using Edge (optional module): The concept is to find the best historical trade expectancy by markets based on variation of the stop-loss and then allow/reject markets to trade. The sizing of the trade is based on a risk of a percentage of your capital.
- Control/Monitor: Use Telegram or a WebUI (start/stop the bot, show profit/loss, daily summary, current open trades results, etc.).
- Analyze: Further analysis can be performed on either Backtesting data or Freqtrade trading history (SQL database), including automated standard plots, and methods to load the data into interactive environments.

Working With: 
Binance
Bitmart
BingX
Gate.io
HTX 
Kraken
OKX
Bybit
Coinbase
MetaMask (Pancakeswap)
Trust
Phantom

 
Hidden Content
You must register or login to view this content.



VT: ==
Reply
#3
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#4
(07-14-2024 - 05:13 PM)TheMia Wrote: Features:

- Develop your Strategy: Write your strategy in python, using pandas. Example strategies to inspire you are available in the strategy repository.
- Download market data: Download historical data of the exchange and the markets your may want to trade with.
- Backtest: Test your strategy on downloaded historical data.
- Optimize: Find the best parameters for your strategy using hyperoptimization which employs machining learning methods. You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for your strategy.
- Select markets: Create your static list or use an automatic one based on top traded volumes and/or prices (not available during backtesting). You can also explicitly blacklist markets you don't want to trade.
- Run: Test your strategy with simulated money (Dry-Run mode) or deploy it with real money (Live-Trade mode).
- Run using Edge (optional module): The concept is to find the best historical trade expectancy by markets based on variation of the stop-loss and then allow/reject markets to trade. The sizing of the trade is based on a risk of a percentage of your capital.
- Control/Monitor: Use Telegram or a WebUI (start/stop the bot, show profit/loss, daily summary, current open trades results, etc.).
- Analyze: Further analysis can be performed on either Backtesting data or Freqtrade trading history (SQL database), including automated standard plots, and methods to load the data into interactive environments.

Working With: 
Binance
Bitmart
BingX
Gate.io
HTX 
Kraken
OKX
Bybit
Coinbase
MetaMask (Pancakeswap)
Trust
Phantom

 
Hidden Content
You must register or login to view this content.



VT: https://www.virustotal.com/gui/file-anal...MDk3MDc2Mw==

ty
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