StellarTerm is an open source trading client for the Stellar decentralized exchange, enabling users to send, receive, and trade assets on the Stellar network.
Each model independently rates StellarTerm on a 1–5 star scale.
StellarTerm is an open-source DEX client for the Stellar network. It's a lightweight interface, not a custodial exchange. Being open source adds transparency, but it's unregulated and offers limited user support.
StellarTerm is an open-source trading client for the Stellar decentralized exchange, known for its transparency and community-driven development. Limited centralized oversight affects regulation and support scores.
StellarTerm is an open-source client for the Stellar decentralized exchange. As a software interface rather than a regulated financial institution, its trust and reputation are tied to the underlying Stellar network and community development. Scores reflect its nature as a tool.
Open‑source, non‑custodial client for the Stellar DEX. Long‑running but niche. Not a regulated broker; relies on Stellar network liquidity/anchors with low fees. Support/community channels exist but are limited. Reputation generally OK within niche; do your own research.
StellarTerm is an open-source web client for the decentralized Stellar DEX. Limited public data on incidents or reviews; no central entity for regulation or formal support. Scores reflect decentralized nature with moderate transparency from open-source code but low regulatory oversight.
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StellarTerm is rated 2.7 out of 5 (“Poor”) on TrustRating, based on 5 independent AI model assessments. The TrustScore combines real customer reviews with AI models that independently assess trust, regulation, support and reputation signals. Always do your own research before making a purchase or investment.
StellarTerm currently has a TrustScore of 2.7 out of 5 (“Poor”). The score blends verified customer reviews with assessments from multiple independent AI models, and it updates automatically as new reviews and scans come in. You can read exactly how scores are computed on our methodology page.
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