trading-algorithms-rust
Unverified Other strategy on Multi by mail4metablocks. BotFinder score 18 out of 100.
Trading algorithms in Rust
Source: github
BotFinder analysis pending.
trading-algorithms-rust
Trading algorithms in Rust Traders use trading algorithms to execute trades in a systematic and automated manner, which can help to remove the emotions and subjectivity from the trading process. Trading algorithms can be used in a variety of contexts, including high-frequency trading, statistical arbitrage, and other forms of automated trading. There are many different types of trading algorithms, including: Trend-following algorithms: These algorithms are designed to identify and follow trends in financial markets. Mean-reversion algorithms: These algorithms are designed to identify situations where the price of a financial instrument has moved away from its historical average and to trade in a way that profits from the eventual return to that average. Arbitrage algorithms: These algorithms are designed to identify and exploit price discrepancies between different financial instruments or markets. Portfolio optimization algorithms: These algorithms are designed to optimize the composition of a portfolio of financial instruments in order to maximize returns or minimize risk. Risk man
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)