StockNewsSentimentBot is a production algorithmic trading strategy paper-traded live from a $10,000 seed. Live paper-trading performance: 0.00% annualised return (0.00% total), Sharpe 0.00 over 71 days.

TL;DR

• Strategy family: Sentiment & news — Trades on news flow, fear-greed indices, and aggregated sentiment signals.
• Live track record: 0.00% annualised return (CAGR), Sharpe 0.00, max drawdown 0.00% over 71 trading days.
• Code: open-source on python_tradingbot_framework — tradingbot/stocknewssentimentbot.py.

Live performance snapshot

• Annualised return (CAGR): 0.00%
• Current paper-portfolio worth: $10000.00 (seeded at $10,000)
• Total return since seed: 0.00%
• Sharpe: 0.00
• Max drawdown: 0.00%
• Days live: 71

See the full chart, current holdings, and historical backtest on the strategy’s live page →.

How StockNewsSentimentBot works

A full technical writeup for StockNewsSentimentBot is in progress. In the meantime:

• Source code: tradingbot/stocknewssentimentbot.py.
• Open-source framework: python_tradingbot_framework.

Run it yourself

StockNewsSentimentBot 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/stocknewssentimentbot.py. The live page shows today’s portfolio state alongside the full historical backtest.

Related Sentiment & news strategies

• FearGreedBotQQQ — also in the Sentiment & news family. See live performance →
• FearGreedBotQQQInverse — also in the Sentiment & news family. See live performance →

FAQ

Is StockNewsSentimentBot profitable live?

Since deployment, StockNewsSentimentBot has produced an annualised return (CAGR) of 0.00% on a $10,000 paper seed (0.00% cumulative), with a Sharpe ratio of 0.00 and a max drawdown of 0.00% over 71 trading days. Numbers refresh daily on the live page.

Can I run StockNewsSentimentBot myself?

Yes. StockNewsSentimentBot 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.

How does StockNewsSentimentBot compare to other quantitative strategies?

StockNewsSentimentBot belongs to the Sentiment & news family. Trades on news flow, fear-greed indices, and aggregated sentiment signals. Browse the full leaderboard to compare it against strategies from other families.

Compare every strategy

Browse the full live leaderboard to see how StockNewsSentimentBot ranks against 23 other paper-traded strategies, all seeded with the same $10,000.