Pivoted Wvap with rolling weigthed std dev bands per utc day (Incremental weighted standard deviation (rolling) bands) https://www.tradingview.com/script/dQF211AS-Multi-Timeframe-VWAP/
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Leverage on Perp-Trading with FTX! =) Stop losses, Trailing Take profits, OCOs, etc. Please open an account here if you havent already: https://ftx.com/profile#a=2738399
Strategy= Define your own. To use at your own risk/peril. Trades with leveraged pairs as they have lower spreads/high volumes, but the pairs can be changed to any pair you like.
Logs in with your API keys from another file (doc.py). Consider a .ini for added security.
Keeps exception logs of any errors with the Rest API/functions/program written in a file with traceback.
Gets 1H & 5m historical data from the API and merges it in a dataframe with OCHLV + VWAP, indicators and other values to then analize it.
Identifies the overal bigger picture trend, 1 Hr candls, Daily GMT pivots for Vwap deviations and more.
Graphs visually whatever you want to throw at it.
You can build (and easily write) your own strategy, could be based on Moving averages, MACD, VWAP, RSI combined or more.
Disclaimer: The strategies presented here just run, most likely it is not profitable (contact me: https://www.linkedin.com/in/carlo-fernandez-benedetto/ to write a proper one)
90 percent of retail traders loose 90 percent or more of their account in 90 days or less. Trade responsably and take care of the trading capital.
Goes Long or Short depending on the trend and the strategy chosen, and starts looking for similar pairs faster to trade when volatility increases.
SLs and Trailing TPs with order sizes and database.
Revise and correct the positions in case there is any fault or exception in the process.
Plots and graphs a snapshot of the chart when going long or short indicating the Take profit point and Stop loss prices.
Continuosly checks the open long TP or short orders and cancels them if trend is oposite to the position or any other desired price, indicator or position condition.
Rest API program created with: Numpy/Pandas
- Pandas Technical Analysis lib pd.ta
- python: 3.8
To run this project, install python and run in a virtual env the needed libraries can be added with pip install:
$ pandas
$ numpy
$ ftx
$ plotly
$ pandas-ta