[](https://github.com/whittlem/pycryptobot/actions/workflows/container.yml/badge.svg) [](https://github.com/whittlem/pycryptobot/actions/workflows/unit-tests.yml/badge.svg) # Python Crypto Bot v6.3.0 (pycryptobot) ## Join our chat on Telegram ## Supporting The Project I get paid to write on Medium. Readers following me, applauding and commenting on my articles, all helps with my earnings. I provided this bot to all of you for free and actively developing it. One way you can support my efforts is to follow me on Medium and read my articles. The Medium subscription is $5 a month (roughly £3) so basically nothing in terms of the value you are getting from the bot. Your efforts here would be greatly appreciated! Follow me on Medium for updates! Python Crypto Bot (PyCryptoBot) What’s new in PyCryptoBot 2? PyCryptoBot with Telegram PyCryptoBot Results and Config Coinbase Pro Portfolio Tracker TradingView.com Charts ❤ ## Optional Add-on Coinbase Pro Portfolio Tracker An all-in-one view of all your Coinbase Pro portfolios. Highly recommended if running multiple bots and keeping track of their progress. ## Prerequisites * When running in containers: a working docker/podman installation * Python 3.9.x installed -- (must be Python 3.9 or greater) % python3 --version Python 3.9.1 * Python 3 PIP installed -- % python3 -m pip --version pip 21.0.1 from /usr/local/lib/python3.9/site-packages/pip (python 3.9) ## Installation ### Manual % git clone https://github.com/whittlem/pycryptobot % cd pycryptobot % python3 -m pip install -r requirements.txt ### Container Install Docker Desktop https://docs.docker.com/desktop From Github image repo % docker pull ghcr.io/whittlem/pycryptobot/pycryptobot:latest latest: Pulling from whittlem/pycryptobot/pycryptobot 8f403cb21126: Pull complete 65c0f2178ac8: Pull complete 1091bd628216: Pull complete cb1eb04426a4: Pull complete ec065b94ad1c: Pull complete Digest: sha256:031fd6c7b7b2d08a743127e5850bc3d9c97a46e02ed0878f4445012eaf0619d3 Status: Downloaded newer image for ghcr.io/whittlem/pycryptobot/pycryptobot:latest ghcr.io/whittlem/pycryptobot/pycryptobot:latest Local repo % docker build -t pycryptobot . ## Additional Information The "requirements.txt" was created with `python3 -m pip freeze` ## Run it ### Manual % python3 pycryptobot.py ### Docker (Option 1) Example Local Absolute Path: /home/example/config.json Example Market: BTC-GBP Daemon: % docker run --name BTC-GBP -v /home/example/config.json:/app/config.json -d ghcr.io/whittlem/pycryptobot/pycryptobot:latest Example: % docker run --name BTC-GBP -v /Users/whittlem/Documents/Repos/Docker/config.json:/app/config.json -d ghcr.io/whittlem/pycryptobot/pycryptobot:latest --live 0 e491ae4fdba28aa9e74802895adf5e856006c3c63cf854c657482a6562a1e15 Interactive: % docker run --name BTC-GBP -v /home/example/config.json:/app/config.json -it ghcr.io/whittlem/pycryptobot/pycryptobot:latest List Processes: % docker ps Example: % docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES e491ae4fdba2 ghcr.io/whittlem/pycryptobot/pycryptobot:latest "python3 pycryptobot…" 46 seconds ago Up 44 seconds BTC-GBP Container Shell: % docker exec -it BTC-GBP /bin/bash [root@e491ae4fdba2 app]# Build your own image (if necessary): docker build -t pycryptobot_BTC-GBP . Running the docker image: docker run -d --rm --name pycryptobot_BTC-GBP_container pycryptobot_BTC-GBP Typically I would save all my settings in the config.json but running from the command line I would usually run it like this. % python3 pycryptobot.py --market BTC-GBP --granularity 3600 --live 1 --verbose 0 --selllowerpcnt -2 ### docker-compose (Option 2) To run using the config.json in template folder, % docker-compose up -d By default, docker-compose will use the config inside `./market/template`. We provide this as a template for any market config. For each market you want to trade, create a copy of this folder under market. Also create either a coinbase.key or binance.key file to each folder depending which trading platform is being used. For example, if you are trading `BTCEUR` and `ETHEUR` your market folder should look like this: ├── market │ ├── BTCEUR │ │ ├── config.json │ │ ├── pycryptobot.log │ │ └── graphs │ └── ETHEUR │ ├── config.json │ ├── pycryptobot.log │ └── graphs modify docker-compose.yaml version: "3.9" services: btceur: build: context: . container_name: btceur volumes: - ./market/BTCEUR/coinbase.key:/app/coinbase.key.json - ./market/BTCEUR/config.json:/app/config.json - ./market/BTCEUR/pycryptobot.log:/app/pycryptobot.log - ./market/BTCEUR/graphs:/app/graphs - /etc/localtime:/etc/localtime:ro environment: - PYTHONUNBUFFERED=1 deploy: restart_policy: condition: on-failure etheur: build: context: . container_name: etheur volumes: - ./market/ETHEUR/coinbase.key:/app/coinbase.key.json - ./market/ETHEUR/config.json:/app/config.json - ./market/ETHEUR/pycryptobot.log:/app/pycryptobot.log - ./market/ETHEUR/graphs:/app/graphs - /etc/localtime:/etc/localtime:ro environment: - PYTHONUNBUFFERED=1 deploy: restart_policy: condition: on-failure Run all your bots. Note that each market should have it's own config. Graphs will be saved on each market's folder. % docker-compose up -d ### Kubernetes (Helm) (Option 3) There is a helm chart available in this repo. It will create your config.json as a configmap and the binance/coinbase keys as secrets, and mount them into the Pod. To run pycryptobot as a Kubernetes deployment, create your helm values as yaml in the following format (do not change the path to the api_key_file): config: > { "coinbasepro": { "api_url": "https://api.pro.coinbase.com", "config": { "base_currency": "ETH", "quote_currency": "EUR", "live": 1, "sellatloss": 0, "disablelog": 1, "autorestart": 1 }, "api_key_file": "/app/keys/coinbasepro.key" }, "telegram" : { "token" : "", "client_id" : "", } } coinbasepro_key: | XXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY zzzzzzzzzzzz Or, for binance: config: > { "binance": { "api_url": "https://api.binance.com", "config": { "base_currency": "ETH", "quote_currency": "EUR", "live": 1, "sellatloss": 0, "disablelog": 1, "autorestart": 1 }, "api_key_file": "/app/keys/binance.key" }, "telegram" : { "token" : "", "client_id" : "", } } binance_key: | XXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY Or, for kucoin: config: > { "kucoin": { "api_url": "https://api.kucoin.com", "config": { "base_currency": "ETH", "quote_currency": "EUR", "live": 1, "sellatloss": 0, "disablelog": 1, "autorestart": 1 }, "api_key_file": "/app/keys/coinbasepro.key" }, "telegram" : { "token" : "", "client_id" : "", } } kucoin_key: | XXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY zzzzzzzzzzzz Or both: config: > { "coinbasepro": { "api_url": "https://api.pro.coinbase.com", "config": { "base_currency": "ETH", "quote_currency": "EUR", "live": 1, "sellatloss": 0, "disablelog": 1, "autorestart": 1 }, "api_key_file": "/app/keys/coinbasepro.key" }, "binance": { "api_url": "https://api.binance.com", "config": { "base_currency": "ETH", "quote_currency": "EUR", "live": 1, "sellatloss": 0, "disablelog": 1, "autorestart": 1 }, "api_key_file": "/app/keys/binance.key" }, "kucoin": { "api_url": "https://api.kucoin.com", "config": { "base_currency": "ETH", "quote_currency": "EUR", "live": 1, "sellatloss": 0, "disablelog": 1, "autorestart": 1 }, "api_key_file": "/app/keys/kucoin.key" }, "telegram" : { "token" : "", "client_id" : "", } } coinbasepro_key: | XXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY zzzzzzzzzzzz binance_key: | XXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY kucoin_key: | XXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY zzzzzzzzzzzz Then run: git clone https://github.com/whittlem/pycryptobot cd pycryptobot/chart helm upgrade -i pycryptobot-eth-eur -f So if you created above helm values file as config-eth-eur.yaml, you would run: helm upgrade -i pycryptobot-eth-eur -f config-eth-eur.yaml ## Bot mechanics Smart switching: * If the EMA12 is greater than the EMA26 on the 1 hour and 6 hour intervals switch to start trading on the 15 minute intervals * If the EMA12 is lower than the EMA26 on the 1 hour and 6 hour intervals switch back to trade on the 1 hour intervals * If a "granularity" is specified as an argument or in the config.json then smart switching will be disabled * Force smart switching between 1 hour and 15 minute intervals with "smartswitch" argument or config option (1 or 0) Buy signal: * EMA12 is currently crossing above the EMA26 and MACD is above the Signal *OR* MACD is currently crossing above the Signal and EMA12 is above the EMA26 * Golden Cross (SMA50 is above the SMA200) <-- bull market detection * On-Balance Volume Percent > -5 <-- suitable momentum required * Elder Ray Buy is True <-- bull market detection The bot will only trade in a bull market to minimise losses! (you can disable this) Special buy cases: * "nobuynearhighpcnt" to specify the percentage from high that the bot should not buy if "disablebuynearhigh" is not specified. * "buymaxsize" specifies a fixed max amount of the quote currency to buy with. * "buylastsellsize" when enabled, bot will buy the same size as the last sell size for the current market. * "trailingbuypcnt" specifies the percentage for the price to increase before placing buy order after receiving buy signal * "trailingimmediatebuy" will trigger an immediate buy if "trailingbuypcnt" is reached. Use caution, may not advisable on all markets. Default is to wait until candle close to process buy like a standard buy signal. * "marketmultibuycheck" when enabled, bot will perform an additional check on base and quote balance to prevent multiple buys. It has been determined that some market pairs have problem API responses which can create a multiple buy issue. Please Note: "marketmultibuycheck" will conflict with configurations that use "sellpercent". Sell signal: * EMA12 is currently crossing below the EMA26 * MACD is below the Signal Special sell cases: * "nosellminpcnt" specifies the lower margin limit to not sell above * "nosellmaxpcnt" specifies the upper margin limit to not sell below * If "sellatloss" is on, bot will sell if price drops below the lower Fibonacci band * If "sellatloss" is on and "selllowerpcnt" is specified the bot will sell at the specified amount E.g. -2 for -2% margin * If "sellatloss" is on and "trailingstoploss" is specified the bot will sell at the specified amount below the buy high * If "sellupperpcnt" is specified the bot will sell at the specified amount E.g. 10 for 10% margin (Depending on the conditions I lock in profit at 3%) * If the margin exceeds 3% and the price reaches a Fibonacci band it will sell to lock in profit * If the margin exceeds 3% but a strong reversal is detected with negative OBV and MACD < Signal it will sell * "sellatloss" set to 0 prevents selling at a loss * "preventloss" set to 1 to force a sell before margin is negative (losing money on active trade). Default trigger point is 1%. If nosellmaxpcnt is set it will be used as the default, unless preventlosstrigger is set to set a custom trigger point. * "preventlosstrigger" is the margin set point that will trigger/allow the preventloss function to start watching the margin and will sell when margin reaches 0.1% or lower unless preventlossmargin is set. NOTE: to disable preventlosstrigger and use preventlossmargin only, set the trigger to 0. * "preventlossmargin" is the margin set point that will cause an immediate sell to prevent a loss. If this is not set, a default of 0.1% will be used. "preventlossmargin" can be used by itself or in conjunction with "preventlosstrigger". ## Optional Options --stats Display order profit and loss (P&L) report --autorestart Automatically restart the bot on error --sellatresistance Sells if the price reaches either resistance or Fibonacci band --enabletelegrambotcontrol Enable bot control via Telegram --sellsmartswitch Enables smart switching to 5 minute granularity after a buy is placed --enableinsufficientfundslogging Stop insufficient fund errors from stopping the bot, instead log and continue ## Disabling Default Functionality --disablebullonly Disable only buying in bull market --disablebuynearhigh Disable buying within 3% of the dataframe high --disablebuymacd Disable macd buy signal --disablebuyema Disable ema buy signal.If both core indicators ema and macd buy signals are disabled, bot won't buy.Doesn't affect sell strategy. --disablebuyobv Disable obv buy signal --disablebuyelderray Disable elder ray buy signal --disablefailsafefibonaccilow Disable failsafe sell on fibonacci lower band --disablefailsafelowerpcnt Disable failsafe sell on 'selllowerpcnt' --disableprofitbankupperpcnt Disable profit bank on 'sellupperpcnt' --disableprofitbankfibonaccihigh Disable profit bank on fibonacci upper band --disableprofitbankreversal Disable profit bank on strong candlestick reversal --disabletelegram Disable sending telegram messages --disabletelegramerrormsgs Disable sending error message to telegram (only trading info) --telegramtradesonly Toggle only sending trade messages to telegram - won't send smart switch and last action messages, will still send error messages unless disabling separately --disablelog Disable writing log entries --disabletracker Disable saving CSV on buy and sell events ## "Sell At Loss" explained The "sellatloss" option disabled has it's advantages and disadvantages. It does prevent any losses but also prevents you from exiting a market before a crash or bear market. Sometimes it's better to make an occasional small loss and make it up with several buys than be conservative and potentially lock a trade for weeks if not months. It happened to me while testing this with the last crash (after Elon's tweet!). Three of my bots did not sell while the profit dropped to -10 to -20%. It did bounce back and I made over 3% a trade with any losses but I also lost out of loads of trading opportunities. It's really a matter of preference. Maybe some markets would be more appropriate than others for this. ## "Prevent Loss" explained The "preventloss" option and it's corresponding settings add more options to control losses or minimize losses on trades. "preventloss" does not depend on "sellatloss" to work. The idea of Prevent Loss is to allow you to still use all the other sell criteria and the no sell zones as you would like, but still sell prior to the margin dropping below 0%. Note: there are still transaction fees from the exchange, this has no effect on fees. You could increase preventlossmargin to account for fees if you would like. If "preventloss" is set to 1 and enabled, it will watch for the "preventlosstrigger" margin percentage to be reached. If "preventloss" is enabled and "preventlosstrigger" is NOT in you configuration the default "preventlosstrigger" is 1%. Once the trigger percentage is reached, preventloss will monitor the margin until it falls to the "preventlossmargin" set point. If "preventlossmargin" is not in your configuration, it has a default setting of 0.1% to make the best attempt to trigger a sell before the margin drops below 0%. On very fast falling prices, the margin could fall below 0% before the transaction is processed by the exchange. Set at a level that you are comfortable with so the margin falls in the range you would like. "preventloss" and "preventlossmargin" can be used without "preventlosstrigger" if you choose. Set "preventlosstrigger" to 0 in your config to disable it and sell any time the margin drops below the "preventlosmargin" set point. It is assumed that most users won't want this option which is why you have to disable "preventlosstrigger" for it to function in this manner. Prevent Loss is not a required option. It allows a little more control over your profits and losses. ## Trailing Buy Percent Explained When the bot issues a standard buy signal via all normal methods, it waits until the next candle close to buy. Many times after a buy signal is given, the price for the pair in question will still fall. Trailing buy will, by default, check to make sure the price is moving in a positive/upward direction before it buys. If the price goes lower after the buy signal is given, trailing buy will watch the price changes and will prevent a buy if the price is dropping until it starts to increase again. This will actually make the bot buy at the lowest price monitored after the buy signal was received. The default is 0% of increase, so it will only prevent buying from the buy signal until next candle close if the price is decreasing. At close, if the price is still falling, it will delay the buy again until next close. This essentially takes an extra step to help stop you from possibly losing profit immediately after a buy, especially when using MACD signals only. "trailingbuypcnt" can be set at any percentage above 0. Run some simualutions or use live: 0 to test the results of various percentage set points. During testing, 1% had pretty good results, but all trade settings will vary based on market and pair being traded. It is always recommended that you run tests before trading live with real funds. "trailingimmediatebuy" is another setting that can be used in conjunction with "trailingbuypcnt". If "trailingimmediatebuy" is enabled (set to 1), "trailingbuypcnt" will buy immediately upon the set point being reached, instead of waiting until candle close. Again, run tests to determine the best settings. ## Live Trading In order to trade live you need to authenticate with the Coinbase Pro or Binance APIs. This is all documented in my Medium articles. In summary you will need to include a config.json file in your project root which contains your API keys. If the file does not exist it will only work in test/demo mode. ## Trading Simulation --sim ['fast, fast-sample, slow-sample'] Sets simulation mode --simstartdate Start date for sample simulation e.g '2021-01-15' --simenddate End date for sample simulation or 'now' `simstartdate` takes priority over `simenddate` if both are given ### Simulation trades.csv By default, when running a simulation, if there are any orders, a file called `trades.csv` with all BUYS and SELLS will be created. With `--tradesfile` you can control the name and where file is stored, eg `--tradesfile BTSUDC-trades.csv` ## API key / secret / password storage From now on it's recommended NOT to store the credentials in the config file because people share configs and may inadvertently share their API keys within. Instead, please, create `binance.key` or `coinbase.key` or `kucoin.key` (or use your own names for the files) and refer to these files in the `config.json` file as: "api_key_file" : "binance.key" Once you have done that, "api_key" and "api_secret" can be safely removed from your config file and you're free to share your configs without worrying of leaked credentials. You may also specify API key file with a command line argument like: --api_key_file binance.key ### binance.key / conbase.key / kucoin.key examples Actually it's pretty simple, these files are supposed to be a simple text files with the API key on the first line, API secret on the second line and in case of coinbase and kucoin, probably the API password on the third. No comments or anything else is allowed, just the long string of numbers: 0234238792873423...82736827638472 68473847745876abscd9872...8237642 (dots are used to indicate places where the strings were shortened) ## config.json examples Coinbase Pro basic (using smart switching) { "api_url" : "https://api.pro.coinbase.com", "api_key_file" : "coinbase.key", "config" : { "cryptoMarket" : "BTC", "fiatMarket" : "GBP", "live" : 1, "sellatloss" : 0 } } Coinbase Pro basic (specific granularity, no smart switching) { "api_url" : "https://api.pro.coinbase.com", "api_key_file" : "coinbase.key", "config" : { "cryptoMarket" : "BCH", "fiatMarket" : "GBP", "granularity" : 3600, "live" : 1, "sellatloss" : 0 } } Coinbase Pro only (new format) { "coinbasepro" : { "api_url" : "https://api.pro.coinbase.com", "api_key_file" : "coinbase.key", "config" : { "base_currency" : "BTC", "quote_currency" : "GBP", "granularity" : "3600", "live" : 0, "verbose" : 0 } } } Binance only (new format) { "binance" : { "api_url" : "https://api.binance.com", "api_key_file" : "binance.key", "config" : { "base_currency" : "BTC", "quote_currency" : "ZAR", "granularity" : "1h", "live" : 0, "verbose" : 0 } } } Kucoin (using smart switching) { "api_url" : "https://api.kucoin.com", "api_key_file" : "kucoin.key", "config" : { "base_currency" : "BTC", "quote_currency" : "GBP", "live" : 1, "sellatloss" : 0 } } Coinbase Pro, Binance and Kucoin (new format) { "binance" : { "api_url" : "https://api.binance.com", "api_key_file" : "binance.key", "config" : { "base_currency" : "BTC", "quote_currency" : "ZAR", "granularity" : "1h", "live" : 0, "verbose" : 0 } }, "coinbasepro" : { "api_url" : "https://api.pro.coinbase.com", "api_key_file" : "coinbase.key", "config" : { "base_currency" : "BTC", "quote_currency" : "GBP", "granularity" : "3600", "live" : 0, "verbose" : 0 } }, "kucoin" : { "api_url" : "https://api.kucoin.com", "api_key_file" : "kucoin.key", "config" : { "base_currency" : "BTC", "quote_currency" : "GBP", "granularity" : "3600", "live" : 0, "verbose" : 0 } } } All the "config" options in the config.json can be passed as arguments E.g. --market Command line arguments override config.json config. For telegram, add a piece to the config.json as follows: "telegram" : { "token" : "", "user_Id" : "" "client_id" : "" } You can use @botfather and @myidbot in telegram to create a bot with token and get a client id. For configuring the volume scanner, add a piece to the config.json as follows: "scanner" : { "atr72_pcnt" : # default 2.0, "enableexitaftersell" : 1, # once a bot has sold it will exit "enableleverage" : 0, # allow leverage markets from the scanner to start "maxbotcount" : , # maximum amount of bots you want running at once "autoscandelay": , # number of hours you want to wait between scans } For configuring logger, add a piece to the config.json as follows: *This is also default configuration of the logger, if no config is given and log is not disabled this configuration will apply.* "logger" : { "filelog": 1, "logfile": "pycryptobot.log", "fileloglevel": "DEBUG", "consolelog": 1, "consoleloglevel": "INFO" } "filelog" and "consolelog" can only get 1 (enable) or 0 (disable). "--disablelog" argument or "disablelog" config will disable to writing logfile as backwards compatibility. If you want to disable logging entirely, you can set "filelog" and "consolelog" to 0. "logfile" is overridden by '--logfile' console argument. If '--logfile' used when running bot "logfile": "pycryptobot.log" line in config file will be ignored. "fileloglevel" and "consoleloglevel" can get one of 'CRITICAL', 'ERROR', 'WARNING', 'INFO', 'DEBUG', 'NOTSET' For further detail in log levels: ## Multi-Market Trading The bot can trade multiple markets at once. This is also documented in my Medium articles. The bot will execute buys using the full "quote currency" balance it has access too and it will sell the full "base currency" balance it has access too. In order to ring-fence your non-bot funds you should create another "Portfolio" in Coinbase Pro and assign API keys to it. That way you limit exposure. You can so something similar with Binance using sub-accounts but I believe you need to be a certain level to do this. The way you trade multiple markets at once is create multiple Coinbase Pro portfolios for each each bot instance. You will then clone this project for additional bots with the relevant Portfolio keys (config.json). I have 5 bots running at once for my Portfolios: "Bot - BTC-GBP", "Bot - BCH-GBP", "Bot - ETH-GBP", "Bot - LTC-GBP", and "Bot - XLM-EUR". Assuming each bot has a config.json that looks similar to this (update the "cryptoMarket" and "fiatMarket" appropriately): { "api_url" : "https://api.pro.coinbase.com", "api_key_file" : "coinbase.key" "config" : { "cryptoMarket" : "BTC", "fiatMarket" : "GBP", "live" : 1 "selllowerpcnt" : -2 } } The way I run my five bots is as follow: BTC-GBP % rm pycryptobot.log; git pull; clear; python3 pycryptobot.py BCH-GBP % rm pycryptobot.log; git pull; clear; python3 pycryptobot.py ETH-GBP % rm pycryptobot.log; git pull; clear; python3 pycryptobot.py LTC-GBP % rm pycryptobot.log; git pull; clear; python3 pycryptobot.py XLM-EUR % rm pycryptobot.log; git pull; clear; python3 pycryptobot.py Notice how I don't pass any arguments. It's all retrieved from the config.json but you can pass the arguments manually as well. ## The merge from "binance" branch back into "main" Some of you may have been helping test the new code for a few months in the "binance" branch. This is now merged back into the "main" branch. If you are still using the "binance" branch please carry out the following steps (per bot instance). git reset --hard git checkout main git pull python3 -m pip install -r requirements.txt Please note you need to be using Python 3.9.x or greater. The previous bot version only required Python 3.x. ## Stats Module To keep track of the bots performance over time you can run the stats module. e.g. python3 pycryptobot.py --stats This will analyse all the completed buy/sell trade pairs to give stats on todays trades, the trades over the last 7 days, the trades over the last 30 days, and all-time trades. An optional flag of --statstartdate can be given to ignore all trades that happened before a specified date. The date must be of the format: yyyy-mm-dd. e.g. python3 pycryptobot.py --stats --statstartdate 2021-6-01 To get the stats from all your bots, another optional flag of --statgroup can be used. This takes a list of markets and merges the results into one output. e.g. python3 pycryptobot.py --stats --statgroup BTCGBP ETHGBP ADAGBP or via the config.json file e.g. "config": { .... "stats": 1, "statgroup": ["BTCGBP", "ETHGBP", "ADAGBP"], .... } Note: --statgroup only accepts a group of markets if the quote currency (in this example GBP) is the same. If you want more detail than the simple summary, add the optional flag --statdetail. This will print a more detailed list of the transactions. --statdetail can work in conjunction with --statstartdate and --statgroup. ## Upgrading the bots I push updates regularly and it's best to always be running the latest code. In each bot directory make sure you run this regularly. git pull I've actually included this in the examples in how to start the bot that will do this for you automatically. ## Fun quick non-live demo python3 pycryptobot.py --market BTC-GBP --granularity 3600 --sim fast --verbose 0 If you get stuck with anything email me or raise an issue in the repo and I'll help you sort it out. Raising an issue is probably better as the question and response may help others. Enjoy and happy trading! :) # pycryptobot_mqtt # pycryptobot_mqtt