"""# Automatic Crypto Seller. Crypto Seller, I am going into finance, and I want only your strongest tokens. This program is a wrapper around [`fin_depo`](https://gitfub.space/Jmaa/fin-depo/) for automatically trading one-way trades, by using repeated trades over a period. Can be used to slowly enter or exit positions, for example low-volume crypto currencies, or as an automated investment savings system. Supported sites: - [KuCoin](https://www.kucoin.com/): Online crypto-currency exchange. ## Installation Install dependencies: ```shell pip install -r requirements.txt ``` ## Usage 1. Create configuration file. See below and in `examples/` folder for inspiration. 2. [Create KuCoin API key](https://www.kucoin.com/account/api) with **General** and **Spot Trading** permissions. 3. Add KuCoin API key secrets (`KUCOIN_KEY`, `KUCOIN_SECRET`, `KUCOIN_PASS`) to an [`secret_loader` accessible location](https://gitfub.space/Jmaa/secret_loader#user-content-accessible) . 4. Run script using `python -m crypto_seller --config CONFIG_FILE`. The script will now automatically sell assets over time. The interval between sell-offs are randomized to avoid front-running, and the amounts are also randomized to avoid certain attacks (only relevant for smallish intervals of less than a week). The log will both be displayed in the shell, and be placed in a log file `output/log.txt`. Every sell-off will be logged to the `output/trades.csv` file, with as much information as possible. Keep both of these for tax purposes, if relevant. ## Configuration Example configurations can be found in the `examples/` folder. Configurations are `.json` files, with the following fields: ```json { "input_asset": str, "output_asset": str, "input_amount_low": float, "input_amount_high": float, "interval_minutes_low": int, "interval_minutes_high": int } ``` While `input_amount_low` and `input_amount_high` can be identical (and the same for `interval_minutes_XX`) it is discouraged, to avoid frontrunning attacks. ## Auditing information As mentioned before, this program is mostly glue code and wrappering around library functionality. The glue application code allows for running the main loop of checking balance, selling amount and sleeping until the next iteration, with some argument and configuration parsing thrown in. The most relevant libraries for auditing are: - [`fin_depo`](https://gitfub.space/Jmaa/fin-depo): Library for programmatic fetching of depository assets and in some cases allows for order placement. This is the library that reads balances and places market orders. - [`fin_defs`](https://gitfub.space/Jmaa/fin-defs): Definitions of financial assets and instruments. Used by `fin_depo`. - [`secret_loader`](https://gitfub.space/Jmaa/secret_loader): Library for loading of secrets (passwords, API keys, secret keys, configuration files, etc.) from standardized locations. - [`python-kucoin`](https://python-kucoin.readthedocs.io/en/latest/): Used by `fin_depo` to provide KuCoin backend. ## Taxation Some parts of the world suffers from weird and draconian taxation rules on cryptocurrencies, so it helps to keep track of the relevant trading information. As mentioned above, keep (and backup) both the log file (`output/log.txt`) and the trades file (`output/trades.csv`). To help with tax reporting, it might be useful to sign up to tax oriented websites. For example, [CryptoSkat](https://cryptoskat.dk/) seems to be the most mature on the danish market, and does support KuCoin. ## TODO - [X] Allow multiple secrets configs - [X] Allow multiple output directories - [X] Fix `TimeoutError` issue occuring from slow Kucoin endpoint. Might require implementing own kucoin backend in `fin_depo`. - [X] Ensure that a failure during selling results in a safe winding down of the system. * Catch runtime errors when selling * Show status * Show errors to log. * Stop loop and exit with results, and error indicator. - [X] Present an overview of what the script will be doing * Sell what for what? How much, how often? * Give an estimate of how long it will take. * Wait 20 seconds before starting, to allow the user to review. - [X] Document command-line arguments - [X] Document configuration - [X] Document code auditing - [X] Parse configuration from json. - [X] Ensure sell time is included in order details - [X] Log all trades to CSV file. - [X] Collect information during the run and output after run """ __all__ = ['__version__', 'run_auto_sell'] import dataclasses import datetime import logging import random from collections.abc import Callable from decimal import ROUND_DOWN, Decimal from typing import Any import fin_defs import fin_depo from ._version import __version__ logger = logging.getLogger(__name__) ################################################################################ # Constants QUANTIZE_DECIMALS = Decimal('1.00') ################################################################################ # Main code # @dataclasses.dataclass(frozen=True) class AutoSellConfig: """Configuration for `run_auto_sell`. Fields: - `interval_range`: The range to determine sell-off intervals from. After each sell-off it will sleep an amount of time uniformly sampled from this range. - `input_asset`: Asset to sell. - `input_amount_range`: Range to uniformly sample sell-off sizes from. - `output_asset`: Asset to "buy". - `seller`: Depository seller to use. - `sleep`: Sleep method to use. - `exit_when_empty`: Whether the system should stop once there is nothing more to sell. Recommended. """ interval_range: tuple[datetime.timedelta, datetime.timedelta] input_asset: fin_defs.Asset input_amount_range: tuple[Decimal, Decimal] output_asset: fin_defs.Asset seller: fin_depo.defi_kucoin.KucoinDepoFetcher sleep: Callable[[float], None] log_order_to_csv: Callable[[fin_depo.data.TradeOrderDetails], None] exit_when_empty: bool = True @dataclasses.dataclass(frozen=True) class AutoSellRunResults: """Result information after `run_auto_sell`. Fields: - `order_details`: The list of order details. - `total_duration`: Total duration of the run. - `total_sleep_duration`: Amount of time spent waiting between sell-offs. """ order_details: list[fin_depo.data.TradeOrderDetails] total_duration: datetime.timedelta total_sleep_duration: datetime.timedelta def total_input_amount(self) -> Decimal: """Total amount of assets sold.""" return sum((o.input.amount for o in self.order_details), start=Decimal(0)) def total_output_amount(self) -> Decimal: """Total amount of assets "bought".""" return sum((o.output.amount for o in self.order_details), start=Decimal(0)) def sample_from_range(rng: random.Random, rang: tuple[Any, Any]) -> Any: """Samples uniformly from the given range.""" multiplier: float | Decimal = rng.random() if isinstance(rang[0], Decimal): multiplier = Decimal(multiplier) return rang[0] + (rang[1] - rang[0]) * multiplier def run_auto_sell( config: AutoSellConfig, initial_rounds_to_skip: int = 0, ) -> AutoSellRunResults: """Executes the sell-off. Sell-offs are performed in rounds of sizes and with intervals randomly based on the given configuration. """ rng = random.SystemRandom() time_start = datetime.datetime.now(tz=datetime.UTC) all_executed_orders: list[fin_depo.data.TradeOrderDetails] = [] total_sleep_duration = datetime.timedelta(seconds=0) try: while True: # Check that account has tokens. input_amount_available = config.seller.get_depo().get_amount_of_asset( config.input_asset, ) logger.info( 'Currently own %s %s', input_amount_available, config.input_asset.raw_short_name(), ) if initial_rounds_to_skip > 0: initial_rounds_to_skip -= 1 logger.info('skipping this round') elif input_amount_available > 0: amount_to_sell = sample_from_range(rng, config.input_amount_range) amount_to_sell = min(input_amount_available, amount_to_sell) amount_to_sell = amount_to_sell.quantize( QUANTIZE_DECIMALS, rounding=ROUND_DOWN, ) logger.info( 'Attempting to sell %s %s', amount_to_sell, config.input_asset, ) order_details = config.seller.place_market_order( config.input_asset, amount_to_sell, config.output_asset, ) config.log_order_to_csv(order_details) all_executed_orders.append(order_details) del amount_to_sell elif config.exit_when_empty: break # Time out time_to_sleep = sample_from_range(rng, config.interval_range) time_to_sleep_secs = time_to_sleep.total_seconds() logger.info('Sleeping %s (%d seconds)', time_to_sleep, time_to_sleep_secs) config.sleep(time_to_sleep_secs) total_sleep_duration += time_to_sleep del input_amount_available except KeyboardInterrupt: logger.warning('Manual interrupt') except RuntimeError: logger.exception( 'A unexpected and serious error occured. The program will be winding down', ) logger.fatal('Please send the above error message to: mailto:jonjmaa@gmail.com') logger.fatal( 'He will attempt to diagnosticate the problem, and help with recovery', ) time_end = datetime.datetime.now(tz=datetime.UTC) return AutoSellRunResults( all_executed_orders, total_duration=time_end - time_start, total_sleep_duration=total_sleep_duration, ) def log_estimates(config: AutoSellConfig): current_balance = config.seller.get_depo().get_amount_of_asset( config.input_asset, ) average_sleep = (config.interval_range[0] + config.interval_range[1]) / 2 average_amount = (config.input_amount_range[0] + config.input_amount_range[1]) / 2 expected_num_sell_offs = current_balance / average_amount expected_duration = average_sleep * float(expected_num_sell_offs) fastest_duration = config.interval_range[0] * float( current_balance / config.input_amount_range[1], ) slowest_duration = config.interval_range[1] * float( current_balance / config.input_amount_range[0], ) minisleep = 0.1 logger.info('') logger.info('Welcome to crypto seller!') config.sleep(3) logger.info('') config.sleep(minisleep) logger.info('I, the great crypto seller, your humble servant, will') config.sleep(minisleep) logger.info('now analyse your configuration and divine some estimates!') config.sleep(3) logger.info('') config.sleep(minisleep) logger.info( '- Current balance: %s %s', current_balance, config.input_asset.raw_short_name(), ) config.sleep(minisleep) logger.info('- Average sleep: %s seconds', average_sleep) config.sleep(minisleep) logger.info( '- Average amount: %s %s', average_amount, config.input_asset.raw_short_name(), ) config.sleep(minisleep) logger.info('- Expected counts: %s', expected_num_sell_offs) config.sleep(minisleep) logger.info('- Expected time: %s', expected_duration) config.sleep(minisleep) logger.info('- Fastest time: %s', fastest_duration) config.sleep(minisleep) logger.info('- Slowest time: %s', slowest_duration) config.sleep(minisleep) logger.info('') config.sleep(minisleep) logger.info('Do you still want to proceed?') config.sleep(minisleep) logger.info('If not, press CTRL+C within the next 10 seconds...') config.sleep(10) logger.info('') def log_results(results: AutoSellRunResults): logger.info('Stats:') logger.info('- Num orders: %s', len(results.order_details)) logger.info('- Total sold: %s', results.total_input_amount()) logger.info('- Total gained: %s', results.total_output_amount()) logger.info( '- Total duration: %s (%s spent sleeping)', results.total_duration, results.total_sleep_duration, )