crypto-seller/crypto_seller/__init__.py

"""# 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

- [ ] 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.
- [ ] Ensure that a failure during selling results in a safe winding down of the system.
      * Catch runtime errors when selling
      * Show errors to log.
      * Stop loop and exit with results, and error indicator.
- [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 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) -> 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)

    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 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)
            logger.info('Selling %s %s', amount_to_sell, config.input_asset.raw_short_name())

            order_details = config.seller.place_market_order(
                fin_defs.AssetAmount(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

    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_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,
    )