v0.12.0 Weighted Signal Interface, Master Framework/Settings Separation, Configurable HyperOptable Stoploss & More!

⚠️ Disclaimer

• This strategy is under development. It is not recommended running it live at this moment.
• Always test this strategy before using it!
• I am in no way responsible for your live results! This strategy is still experimental and under heavy development!
• MoniGoMani should always be re-optimized after doing manual changes!
• You need to optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

---

Please update your Freqtrade to it's official development branch!
This release was brought to you in collaboration with @bgouvea & @raftersvk! 🎉

Changelog

• ✨ Added Weighted Signal Interface to easily implement new indicators and weighted signals used by MGM! 🚀
• ✨ Added Master Framework file. Now all settings & code are pretty much separated!
• ✨ Added Configurable HyperOptable Stoploss to fine-tune where HyperOpt should look
• ⚡ Updated Optimization Process & Go-To Commands
  • ✨ Added separate command for applying the results after a 2nd HyperOpt Run
  • ⚡ Updated commands so StaticPairLists will automatically be applied after downloading
• ⚡ Updated mgm-config.json
  • ✨ Added Freqtrade Protections optimized for MGM
  • 📦 Grouped, moved and added settings
• ⚡ Updated so weighted signals can only trigger once in their respective lookback windows
• ⚡ Updated debuggable dataframe to separate weighted signals into individual trends
• ⚡ Updated docker-compose.yml and Dockerfile.MoniGoMani for better Docker support
• ♻️ Refactored nearly all code duplications away and improved upon code readability!
• ♻️ Refactored the Total Overall Signal Importance Calculator:
  • ✨ Added Total Signals Needed Section
  • ⚡ Automatically load mgm-config-hyperopt.json and mgm-config.json
  • ⚡ Improved upon styling
  • 🔥 Removed unneeded sub commands and results copy-paste section
  • 🔥 Removed temporary Docker fix
• ♻️ Refactored Binance-Retrieve-All-Tradable-StaticPairList.py
• 🪲 BugFixed TimeFrame kept Zooming at all times
• 📝 Updated README.md, COMPLETELY NEW DOCUMENTATION in MGM_DOCUMENTATION.md, updated VERYQUICKSTART_FREQTRADE.md!
• 📝 Added Some Test Results

v0.11.0 Partially Automated Optimisation Process, Load Settings/Results from configs, BugFixes (TimeFrame-Zoom, Precision and startup_candle_count) & More!

WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized after doing manual changes!
You need to optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

Please install Freqtrade Rikj000/Freqtrade/Rikj000/Freqtrade/moni-go-mani/v0.11.0 at commit bd44deea(latest)!

Changelog

• Freqtrade itself:
  • No more missing signals after HyperOpting with Overrides and exporting to json files! (Pull-Request Pending)
• Partially Automated MoniGoMani Optimization Process
• Moved HyperOpt Results Copy/Paste Section to a mgm-config-hyperopt.json file, which can easily be applied/removed using commands
• Updated mgm-config.json and mgm-config-private.json
  • Added monigomani_settings section and moved nearly all MoniGoMani settings to it
  • Added settings to easily setup minimum/maximum search space values and thresholds for most of the MoniGoMani parameters
  • Moved StaticPairList to mgm-config.json
  • Switched to stake_currency: "USDT" as the default
  • Switched to sell_profit_only: true as the default
  • Applied more Filters to the VolumePairList
• Updated docker-compose.yml
  • Added Dockerfile.MoniGoMani with jq dependency
• Applied more Filters to Binance-Retrieve-Top-Volume-StaticPairList
• BugFixed TimeFrame-Zoom not working correctly with rolling buy/sell checks and startup_candle_count conversion
• BugFixed Precision Setting not being applied correctly everywhere
• Updated README.md, COMPLETELY NEW DOCUMENTATION in MGM_DOCUMENTATION.md, updated VERYQUICKSTART_FREQTRADE.md!
• Added Some Test Results

v0.10.0 No more Missing Signals, custom_sell() Unclogger, Long Continuous ROI-Table, Rolling Weighted-Buy/Sell Signals, Improved Optimisation Process & More!

WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

Please update your Freqtrade development too! (Tested on freqtrade develop-37b71b8c)

Changelog

• Freqtrade itself:
  • No more missing signals after HyperOpting with Overrides! 🥳
  • HyperOpt and BackTest Results align with eachother again (Expect lower more realistic results)
• Rewrote the Open Trade Unclogger:
  • BugFixed (Trailing)StopLoss not being returned correcly
  • Now it functions as a custom_sell() function instead of a custom_stoploss(), which is a less hacky/more natural place for it to live.
  • Dropped custom_info['trend_indicator'] storage.
  • Refined the default search spaces for the unclogger
• Added Custom Long Continuous ROI-Table generation with configurable roi_table_step_size setting.
• Added HyperOptable buy/sell__downwards/sideways/upwards_trend_total_signal_needed_candles_lookback_window parameters, which are used in the buy/sell signal calculation to take weighted signals that triggered in the last few candles into consideration.
• Added number_of_weighted_signals setting to reach more equally divided total weighted signal scores
• Added bull/bear pairs to blacklist
• Updated default ADX threshold to 22
• BugFixed UncloggedWinRatioAndProfitRatioLoss's Divided By 0 Exceptions
• BugFixed Automatic RunMode detection
• Improved the MoniGoMani Optimization Process
• Updated README.md, renamed, updated and added new documentation sections in MGM_DOCUMENTATION.md, added separate VERYQUICKSTART_FREQTRADE.md
• Added Some Test Results

v0.9.1 Open Trade Unclogger Update, WinRatioAndProfitRatio HyperOptLoss, Improved Optimisation Process & More!

WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

Brought to you in collaboration with @PoCk3T, a new addition to the development team of MoniGoMani! 🚀

Changelog

• Updated the Open Trade Unclogger:
  • Added HyperOptable sell___unclogger_trend_lookback_candles_window_percentage_needed parameter which is used in the unclogger's last check
  • Renamed the sell___unclogger_enabled_when_downwards/sideways/upwards parameters to a more clear naming format: sell___unclogger_trend_lookback_window_uses_downwards/sideways/upwards_candles, representing more to what their actual purpose is
  • Refined the default search spaces for the unclogger
    Added 2 Custom HyperLoss Functions:
  • WinRatioAndProfitRatioLoss: Attempts to optimise for the best profit and stability (Returns smaller number for better results)
  • UncloggedWinRatioAndProfitRatioLoss: Same as WinRatioAndProfitRatioLoss but has a configurable Percentage of loss to ignore while HyperOpting (Small losses are a by-product of the Unclogger)
• Improved the MoniGoMani Optimization Process
• Updated the Total Overall Signal Importance Calculator:
  • Added -lf or --load-file Optional (Unused by default): Path to .json file to load HyperOpt Results from which will be used in the Calculator.
    .json's should be extracted with freqtrade hyperopt-show --best --no-header --print-json > ./user_data/config-mgm-hyperopt.json
• Added Binance-Retrieve-Top-Volume-StaticPairList.json: To retrieving all tradable pairs on Binance and create your own pairs-btc.json file for freqtrade data-download (Thanks to @nightshift2k)
• Improved MoniGoMani Logging by switching to f-strings
• Updated README.md, updated and added new documentation sections in VERYQUICKSTART.md
• Added Some Test Results
• Added MoniGoMani Logo

v0.9.0 Open Trade Unclogger, TimeFrame-Zoom, Precision Setting & More!

WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

One of the biggest updates MoniGoMani has seen so far!
Brought to you in collaboration with @DisesiD, @FreshLettuce, 2 amazing additions to the development team of MoniGoMani! 🚀

Changelog

• Added Open Trade Unclogger: When enabled it attempts to unclog the bot when it's stuck with losing trades & unable to trade more new trades. (HyperOptable)
• Added TimeFrame-Zoom: When enabled a zoomed in TimeFrame can be used during backtesting/hyperopting to prevent profit exploitation
• Added Precision Setting: When different from 1 it can be used to control the precision / step size used during hyperopting.
• Updated the Total Overall Signal Importance Calculator:
  • Optional fill in -pu or --precision-used to re-calculate the weights to what would be expected after running hyperopt with precision enabled. Always use this after running hyperopt with precision different from 1!
  • Added Open Trade Unclogger Results to the Report
  • BugFix: Integers being printed as Doubles when using -fm or -pu
• Added Binance-Retrieve-Pair-List: To retrieving all tradable pairs on Binance and create your own pairs-btc.json file for freqtrade data-download (Thanks to @PoCk3T)
• Added MoniGoMani Logging
• Added Class Level RunTime Detection
• Reworked config.json (Renamed to config-btc.json + timeframe line removed!)
• Reworked docker-compose.yml
• Updated README.md, updated and added new documentation sections in VERYQUICKSTART.md
• Added Some Test Results & Cluster Results (Thanks to @nightshift2k)

v0.8.1 HyperOpt Setting Overrides & Calculator Update!

WARNING: Old MoniGoMani became EOL (End Of Life) @ v0.8.0, please use MoniGoManiHyperStrategy from now on!
WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

In this update tools to help squize out more total profit / optimize better are included! 🚀

Changelog

• Settings to Enable/Disable HyperOpting for individual buy_params & sell_params through HyperOpt Setting Overrides
• Reworked the MoniGoMani Freqtrade docker-compose.yml file (be sure to docker-compose pull & docker-compose up --build --force-recreate)
• Update to the Total-Overall-Signal-Importance-Calculator.py:
  • Optional fill in -fm or --fix-missing to re-include missing weighted buy/sell_params with 0 as their value & re-print them as copy/paste-able results. Also keeps the tool from crashing when there are missing weighted values (Mostly useful after a hyperopt with overridden values)
• Reworked Documentation in README.md, updated and added new sections to VERYQUICKSTART.md:
  • How to Optimize MoniGoMani
  • HyperOpt Setting Overrides
• Moved MoniGoMani.py, MoniGoManiHyperOpt.py and MoniGoManiHyperOpted.py to /Legacy MoniGoMani/user_data/

Edit: Use the included updated MoniGoMani.v0.8.1.zip or clone from main but the tagged GitHub zips will still contain a minor merge error.

v0.8.0 Auto-HyperOptable Strategies & Other Improvements!

WARNING: Auto-HyperOptable Strategies still need to be merged into Freqtrade, see VeryQuickStart for how to already set it up now though!
WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

The biggest update so far! 🤖

• Even bigger refactor then the last one has been done to reach compatibility with Auto-HyperOptable Strategies
• Added MoniGoManiHyperStrategy the Auto-HyperOptable version of MoniGoMani! 🥳
• Reworked Documentation in all MoniGoMani files & Markdown files + Made copy/paste sections more visible
• Split config.json into config.json + config-private.json & updated Go-To Commands to decrease risk in users leaking sensitive personal information
• Reworked the MoniGoMani Freqtrade docker-compose.yml file
• Big update to the Total-Overall-Signal-Importance-Calculator.py (All Thanks to @DisesiD!):
  • Calculate & Include Total Overall Downwards/Sideways/Upwards Signal Importance results to improve upon trading in certain trends
  • Calculate & Include Total Buy/Sell Signal Percentages for comparison towards the individual buy/sell signals
  • Auto export results to a importance.log file in the same folder for easy sharing (Might write up another file that calculates a grand total average of all .log files provided in a folder which should create a really stable result)
  • Now you must fill in -sc or --staking-currency with the one you use in config.json as stake_currency since it really matters
  • Optional fill in -f or --file to submit a custom file name for the log file to be exported
  • Optional fill in -nf or --no-file if you don't want a log file to be exported
  • BugFixed Importance calculator not averaging buy signals (Was overstating their importance) + Added a variable for trend_amount

v0.7.2 Huge code refactor (& minor performance improvements)

WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

Huge code refactor that changed the original trend arrays to buy_params & sell_params arrays throughout all MoniGoMani code.
Also removed the unneeded debuggable_weighted_signal_dataframe from MoniGoManiHyperOpted which should cause a some minor decrease in CPU usage.
It will also help in keeping people from accidentally turning it on for their runs.

• v0.7.2 (02-04-2021 - Huge code refactor - Changed original trend array to buy_params & sell_params - Removed unneeded debuggable_weighted_signal_dataframe from MoniGoManiHyperOpted)

v0.7.1 Total Overall Signal Importance Calculator

WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

Paste the buy_params & sell_params results from your HyperOpt in /user_data/Total-Overall-Signal-Importance-Calculator.py
Then execute: python ./user_data/Total-Overall-Signal-Importance-Calculator.py from your favorite
terminal / CLI to calculate the overall importance of the signals being used.
The higher the score of a signal the better, please share your results on the Discord server so we can improve! 🚀
(MoniGoMani has been designed so signals can easily be inserted / swapped out)

Changelog:

• v0.7.1 (01-04-2021 - Added Total Overall Signal Importance Calculator)

v0.7.0 Making Hyperopt Results Copy/Paste-able

WARNING: I am in no way responsible for your live results! This strategy is still experimental and under development!
WARNING: MoniGoMani should always be re-optimized unless you really know what you are doing when manually allocating parameters!
I strongly recommended to re-optimize your own copy of MoniGoMani while thinking logically, don't follow your computer blindly!

This release allows you to easily copy/paste the results from a hyperopt in MoniGoManiHyperOpted.
Thanks to @C9H13NO3-dev for this addition!

Changelog:

• v0.7.0 (31-03-2021 - Making Hyperopt Results Copy/Paste-able)