:radioactive: This is a personal project, use a your own risk.
lfest-rs is a simulated perpetual futures exchange capable of leveraged positions.
You fed it external market data through the MarketUpdate enum to update the MarketState.
Where you either provide bid and ask price or information derived from a candle.
Macros (bba, candle) make it easy to construct the concrete variant.
For simplicity's sake (and performance) the exchange does not use an order book.
The exchange can be configured using Config and ContractSpecification
fpdec crate, for super fast and precise numeric calculations.BaseCurrency, QuoteCurrency, Fee, Leverage. USD denoted value into a function that expects a BTC denoted value. MarketUpdate type and associated macros. FullAccountTrackerAccountTracker trait.linear and inverse futures contracts.PriceFilter QuantityFilter IsolatedMarginRiskEngineThe supported order types are:
- Market: aggressively execute against the best bid / ask
- Limit: passively place an order into the orderbook
The following performance metrics are available when using the FullTrack AccountTracker,
but you may define any performance metric by implementing the AccountTracker trait.
- win_ratio: wins / total_trades
- profit_loss_ratio: avg_win_amnt / avg_loss_amnt
- total_rpnl: Total realized profit and loss
- sharpe: The annualized sharpe ratio
- sortino: The annualized sortino ratio
- cumulative fees: Sum total of fees payed to the exchange
- max_drawdown_wallet_balance: Maximum fraction the wallet balance has decreased from its high.
- max_drawdown_total: Drawdown including unrealized profit and loss
- max_drawdown_duration: The duration of the longest drawdown
- num_trades: The total number of trades executed
- turnover: The total quantity executed
- trade_percentage: trades / total_trade_opportunities
- buy_ratio: buys / total_trades
- limit_order_fill_ratio
- limit_order_cancellation_ratio
- historical_value_at_risk
- cornish_fisher_value_at_risk
- d_ratio
There probably are some more metrics that I missed. Some of these metric may behave differently from what you would expect, so make sure to take a look at the code.
To use this crate in your project, add the following to your Cargo.toml:
[dependencies]
lfest = "^0.35"
Then proceed to use it in your code. For an example see examples
update_state in Exchange)MatchingEngine)settle_funding_period in ClearingHouse)RiskEngine for multiple marketsFullAccountTracker into smaller and easier to test units (Good first contribution).update_desired_leverage in Accountuser_order_id type in Order generic (eg. support both String and u64 for more user flexibility)If you have time available to contribute to the project, feel free to contact me and maybe we can arrange a mutually benefitial aggreement.
I you would like to support the development of this crate, feel free to send over a donation:
Or if you're a greedy Ferengi looking for work, get payed to work on this project (Send me an eMail).
Monero (XMR) address:
47xMvxNKsCKMt2owkDuN1Bci2KMiqGrAFCQFSLijWLs49ua67222Wu3LZryyopDVPYgYmAnYkSZSz9ZW2buaDwdyKTWGwwb

Copyright (C) 2020
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see https://www.gnu.org/licenses/.

$ claude mcp add lfest-rs \
-- python -m otcore.mcp_server <graph>