Looking for a Developer/Data Scientist with Crypto Currency/AI Experience
Budget: $10 – $40 USD
We need a software to assist us with quantitive analysis from trades in the financial market.
The process involves scraping and sorting data (Trading Signals) from Telegram and Discord groups through api access and transfers them into a google spreadsheet. The trading signals in these groups are often mixed with various other information, so the program should be able to differentiate, possibly be even trainable. The trading signals itself come mostly in various but predictable formats.
After scraping data to the google spreadsheet, it needs to analyze historical candle stick data supplied by Binance.com to calculate and complete the data sets on scraped trading pairs.
Some of these include:
Date/Time of entered trade - (e.g. 6.09.2021 at 15:38)
Trading Pair (e.g. MATIC/USDT)
Type (Long/Short)
Leverage Used (e.g. 3x)
Entry Price (e.g. 1.64)
Stoploss set (e.g. 1.47)
Highest Price Reached before hitting stop loss (e.g. 1.7)
Date and Time Highest - it needed to reach highest price before hitting stop loss (e.g. 7.09 3:00)
Targets achieved (e.g. T1 - 1.72, T2 - 1.78, T3 - 1.88, T4 - 1.99, T5 - 2.15, T6 - 2.3, T7 - 2.65, T8 - 3, T9 - 3.4, T10 - 3.9)
Amount of position sold at each target (Amount of Targets divided by 100, in this case, since we have 10 targets, it would be 10% each)
Profit % - if full position was sold at target ( e.g. none of the targets were reached, and we actually went to loss, since we had to sell at stoploss, hence -10.37%)
Profit Portion % - Effective profit on each achieved target ( E.g. in this case, it's 0% for all the targets but if all the targets were reached this would have been the profit of all of them: T1 - 5%, T2 - 9%, T3 - 15%, T4 - 21%, T5 - 31%, T6 - 40%, T7 - 62%, T8 - 83%, T9 - 107%, T10 - 138%)
Total Profit/Loss % - Effective total loss or profit (e.g. -10.37%)
Leverage *Profit % - (e.g. -31)
Time Period - (e.g. 17h)
Theoretical max profit - (e.g. 51%)
Theo max profit with leverage - (e.g. 153%)
Targets reached - 0/10
This is the example of how it should look like:
https://docs.google.com/spreadsheets/d/1k-s4i6GEK3Z8e7HMrPEq2uQMlFsmZUktQuVbFdP_uxo/edit?usp=sharing
We have a spreadsheet that automatically calculates the profits if put the targets manually.
When making offers, please inform us about any technical limitations of this project, the time required, and estimated salary.
Useful information:
https://github.com/Theoklitos/signal-aggregator
https://github.com/Dracovian/Discord-Scraper
https://github.com/abdhass/telegram-channel-scraper
The process involves scraping and sorting data (Trading Signals) from Telegram and Discord groups through api access and transfers them into a google spreadsheet. The trading signals in these groups are often mixed with various other information, so the program should be able to differentiate, possibly be even trainable. The trading signals itself come mostly in various but predictable formats.
After scraping data to the google spreadsheet, it needs to analyze historical candle stick data supplied by Binance.com to calculate and complete the data sets on scraped trading pairs.
Some of these include:
Date/Time of entered trade - (e.g. 6.09.2021 at 15:38)
Trading Pair (e.g. MATIC/USDT)
Type (Long/Short)
Leverage Used (e.g. 3x)
Entry Price (e.g. 1.64)
Stoploss set (e.g. 1.47)
Highest Price Reached before hitting stop loss (e.g. 1.7)
Date and Time Highest - it needed to reach highest price before hitting stop loss (e.g. 7.09 3:00)
Targets achieved (e.g. T1 - 1.72, T2 - 1.78, T3 - 1.88, T4 - 1.99, T5 - 2.15, T6 - 2.3, T7 - 2.65, T8 - 3, T9 - 3.4, T10 - 3.9)
Amount of position sold at each target (Amount of Targets divided by 100, in this case, since we have 10 targets, it would be 10% each)
Profit % - if full position was sold at target ( e.g. none of the targets were reached, and we actually went to loss, since we had to sell at stoploss, hence -10.37%)
Profit Portion % - Effective profit on each achieved target ( E.g. in this case, it's 0% for all the targets but if all the targets were reached this would have been the profit of all of them: T1 - 5%, T2 - 9%, T3 - 15%, T4 - 21%, T5 - 31%, T6 - 40%, T7 - 62%, T8 - 83%, T9 - 107%, T10 - 138%)
Total Profit/Loss % - Effective total loss or profit (e.g. -10.37%)
Leverage *Profit % - (e.g. -31)
Time Period - (e.g. 17h)
Theoretical max profit - (e.g. 51%)
Theo max profit with leverage - (e.g. 153%)
Targets reached - 0/10
This is the example of how it should look like:
https://docs.google.com/spreadsheets/d/1k-s4i6GEK3Z8e7HMrPEq2uQMlFsmZUktQuVbFdP_uxo/edit?usp=sharing
We have a spreadsheet that automatically calculates the profits if put the targets manually.
When making offers, please inform us about any technical limitations of this project, the time required, and estimated salary.
Useful information:
https://github.com/Theoklitos/signal-aggregator
https://github.com/Dracovian/Discord-Scraper
https://github.com/abdhass/telegram-channel-scraper
Related categories:
Machine Learning (ML)
Data Science
Artificial Intelligence
Data Analysis
Robotic Process Automation