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AssemblyAI
Financial Modeling Prep
Messari
Finatra
Finlight.me
Finsemble
FinSignals delivers real-time financial sentiment analysis via a fast, structured API. 7 classification heads, 5-15 ms latency. Free tier available - get your API key in 60 seconds.

SourceForge.net: ShellNewHandler details page

Which is more popular?
Based on our record, ShellNewHandler seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | finsignals.ai | sourceforge.net |
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| Company | Startup from the United States · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


7 signals per API call — sentiment, directionality, quality, post type, relevance score, author confidence, sarcasm Trained on financial Reddit — handles meme-stock slang, emoji posts, DD formatting, pump-and-dump patterns Batch up to 256 posts at 30% lower cost per item 5–15ms inference — built...
No description of ShellNewHandler yet.
What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing FinSignals and ShellNewHandler.
FinSignals's answer
FinSignals is the only API purpose-built for classifying financial Reddit and social media posts. It returns 7 signals per call: sentiment, bullish/bearish directionality, quality filtering (relevant/noise/spam), post type, relevance score, author confidence, and a sarcasm flag, all in a single low-latency inference pass. Generic NLP models fail on financial Reddit slang, meme-stock language, and emoji-heavy posts. FinSignals was fine-tuned specifically on this content.
FinSignals's answer
Most competitors offer pre-computed sentiment scores on news articles. FinSignals classifies raw text in real time for live trading pipelines. It is 6–30x cheaper per classification than using general-purpose LLM APIs (Claude, GPT-4o), eliminates prompt engineering entirely, and delivers consistent structured JSON output on every call with no hallucinations or malformed responses.
FinSignals's answer
Quantitative traders and algo trading developers who need to process Reddit sentiment at scale; fintech startups building market sentiment dashboards; financial data aggregators; researchers studying social media's effect on asset prices.
FinSignals's answer
Built to solve a real gap: existing financial sentiment APIs only cover news, while retail trader sentiment on Reddit has become a demonstrably market-moving signal. Generic NLP models misread the domain. They don't know that "diamond hands" is bullish, "DD" signals a high-quality post, or that "to the moon 🚀" with no supporting text is noise. FinSignals was fine-tuned on labeled financial Reddit data to handle these patterns correctly.
FinSignals's answer
DeBERTa-v3-base fine-tuned model with 7 classification heads; FastAPI served on Google Cloud Run; Python SDK (finsignals-api on PyPI); REST API with JSON responses.
Share your experience with using FinSignals and ShellNewHandler. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking FinSignals since Mar 2026.
Use Shell New Handler. Run the portable app and simply untick the items you don't want to appear in your new context menu. Source: about 4 years ago
I've always used ShellNewHandler for this. It's a really simple portable utility that allows you to remove most of the items from that menu. Tested it out on Windows 11 and it's still compatible. Source: over 5 years ago
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