GoldenButterflyMomBot
Research portal. Not investment advice and not a solicitation. Strategies shown are paper-traded with a $10,000 simulated seed; no real client …
Read ArticleGoldenButterflyMomBot is a production algorithmic trading strategy paper-traded live from a $10,000 seed. Live paper-trading performance: 6.55% annualised return (1.61% total), Sharpe 0.92 over 71 days.
tradingbot/goldenbutterflymombot.py.See the full chart, current holdings, and historical backtest on the strategy’s live page →.
A full technical writeup for GoldenButterflyMomBot is in progress. In the meantime:
tradingbot/goldenbutterflymombot.py.GoldenButterflyMomBot is part of the open-source python_tradingbot_framework — fork the repo, run the code locally, or deploy your own variant. The source lives at tradingbot/goldenbutterflymombot.py. The live page shows today’s portfolio state alongside the full historical backtest.
Since deployment, GoldenButterflyMomBot has produced an annualised return (CAGR) of 6.55% on a $10,000 paper seed (1.61% cumulative), with a Sharpe ratio of 0.92 and a max drawdown of -2.41% over 71 trading days. Numbers refresh daily on the live page.
Yes. GoldenButterflyMomBot is part of the open-source python_tradingbot_framework — you can fork the repo, inspect the strategy, and run the code locally or on your own Kubernetes cluster. The exact source file is here.
GoldenButterflyMomBot belongs to the Momentum & swing family. Classic momentum, Bollinger/Keltner squeeze, and multi-day swing strategies. Browse the full leaderboard to compare it against strategies from other families.
Browse the full live leaderboard to see how GoldenButterflyMomBot ranks against 23 other paper-traded strategies, all seeded with the same $10,000.
Research portal. Not investment advice and not a solicitation. Strategies shown are paper-traded with a $10,000 simulated seed; no real client …
Read ArticleResearch portal. Not investment advice and not a solicitation. Strategies shown are paper-traded with a $10,000 simulated seed; no real client …
Read Article