TTM
# TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel. (by rejithrnath)
Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#) (by QuantConnect)
TTM | Lean | |
---|---|---|
1 | 25 | |
6 | 8,714 | |
- | 1.5% | |
0.0 | 9.7 | |
over 2 years ago | 3 days ago | |
Jupyter Notebook | C# | |
- | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TTM
Posts with mentions or reviews of TTM.
We have used some of these posts to build our list of alternatives
and similar projects.
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Could anyone recommend some profitable strategies or indicators to me.
You can try this one Git link.. Have used several sources to make a py script to detect ttm squeeze and check if the xma is stacked and above 21 xma.
Lean
Posts with mentions or reviews of Lean.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
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What Happened to Quantconnect?
6.) You cant maximize position size of spread options strategies, LEAN always assumes naked margin first and ON THE NEXT DATA FRAME - you get your reg-t margin for spreads. https://github.com/QuantConnect/Lean/issues/5693 We're running into 2 years of this issue being reported.
- Thoughts on QuantConnect?
- IBKR implementation of ALMA indicator
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Backtesting Engines for Testing Intraday Data on Thousands of Symbols Simultaneously
Thanks. I will check it out. Can you point me to the right part of the codebase I should be looking at? I know it must be somewhere here - https://github.com/QuantConnect/Lean
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Quantconnect - Backtest script that accepts multiple dropbox links, creates portfolio, and rebalances on predefined dates, advice?
They have nice documentation on their website for how to download/import external data, though. They even have GitHub examples that pull data from Dropbox.
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Problem with QuantConnect Package on Local IDE
Here is an example https://github.com/QuantConnect/Lean/blob/master/Algorithm.Python/DropboxUniverseSelectionAlgorithm.py
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Exportable quote database for simulations?
There's also the open-source lean.io stuff by QuantConnect which looks decent and comes with data. It's pretty inexpensive too.
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Rant about candles
I can plot OHCL lines, I can plot OHCL scatter points on the chart, why can't I plot candles? It's just those scatter points put together. This thing has been going on for 8 YEARS.
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How has your experience been with QuantConnect? Would you invest in the company?
Here's a link to one of the strategy examples from the QC team that does this -- loading a universe from an external source. https://github.com/QuantConnect/Lean/blob/master/Algorithm.Python/DropboxCoarseFineAlgorithm.py
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What's the best platform to backtest a large amount of 1m data using a simple volume-based strategy ? TradingView provides a minimal amount of candles in the 1m chart to backtest on and I need to test it further.
+1 see https://github.com/QuantConnect/Lean
What are some alternatives?
When comparing TTM and Lean you can also consider the following projects:
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).