# Superalgos A visual, node-based bot workshop you install from GitHub. Last stable release 2024. *https://cryptomarkets.tools/tools/superalgos · Crypto Trading Bots* ## Facts ### At a glance | Field | Value | | --- | --- | | Vendor | Superalgos | | Category | Crypto Trading Bots | | Job | automation | | Website | https://github.com/Superalgos/Superalgos | | Pricing model | open-source | | Free tier | true | | Open source | true | | Licence | Apache-2.0 | | Self-hosted | true | | KYC required | false | | Tested hands-on | no | | Claimed by vendor | no | | Last updated | 2026-10-04 | ### Coverage | Field | Value | | --- | --- | | Asset classes | spot | | Chains | none | | Venues | cex | | Data latency | realtime | | Platforms | web, desktop_win, desktop_mac, desktop_linux | | AI features | none | ### Interfaces | Field | Value | | --- | --- | | API | false | | Webhooks | true | | Scripting | JavaScript | | MCP server | false | ### Capabilities Yes: charting, backtesting, automation, live_trading, paper_trading, alerts No: screening, portfolio_tracking, exchange_import, tax_reporting, news, onchain_data, wallet_tracking, derivatives_analytics *Verified: pricing 2026-10-04; capabilities 2026-10-04; coverage 2026-10-04.* ## What it is An open-source platform for building trading bots out of visual nodes, run on your own computer and used through a browser tab. Install Node.js and Git, fork the repository, run `node setup`, and the client serves a workspace in which data-mining bots, indicators, trading strategies, backtests, paper-trading sessions and live sessions are all hierarchies of nodes you connect on a canvas. Conditions and formulas inside those nodes are written in JavaScript. A charting space draws candles, indicators and the trades a session made on top of them. It is a large project. The repository holds modules for data mining, algorithmic trading, simulation, machine learning with TensorFlow, portfolio management across several bots, social bots that post to Telegram, Discord and Twitter, a peer-to-peer network, trading signals, social trading and governance — and a manual of more than 1,500 pages that renders inside the app. The interactive tutorials walk through mining data, backtesting and going live on Binance or Binance US. The README describes the project as community-owned, with a token-incentivised social trading network. In practice that means two things a reader should keep apart: the **SA token**, which the project distributes to contributors for development work, and the **peer-to-peer network**, launched with release 1.3.0 in November 2022, over which users can publish and receive trading signals. Neither is needed to build and run your own bots, which is what this card is for. ## Pricing Free. Apache-2.0, confirmed in the repository's LICENSE file and in `package.json`. There is no paid edition, no hosted service and no plan to buy. What it costs is a machine to run it on — the project recommends remote or minimal hardware, including a Raspberry Pi, for production sessions — and a GitHub account with a personal access token, which the installer requires because it builds the app from your own fork. ## Data & coverage Exchange connectivity goes through **CCXT**, pinned in `package.json` at `^2.7.62`. That range resolves to the 2.x line, whose last release, 2.9.16, was published on 13 March 2023; CCXT moved to 3.0 the same day and is now on 4.5. Every exchange integration Superalgos has therefore rests on an exchange library frozen three and a half years ago, and venues that changed their APIs since then are the risk. A Coinmate integration was merged to the develop branch on 22 September 2025 and has not reached a release. The documented path, and the only one this card records, is spot trading on centralised exchanges, with Binance and Binance US as the tutorial's venues. The repository has a decentralised-exchange module with interface code only; nothing here verifies that it trades. Data comes from the exchange: data-mining bots download candles and build the datasets that indicators, backtests and live sessions read, stored locally on your disk. ## Integrations **Inbound webhooks.** The client's HTTP interface accepts notifications from TradingView or any other system that can post to a URL and holds them in memory; the Webhooks Sensor Bot fetches and saves them so strategies can treat them as signals. **Outbound announcements** through social bots for Telegram, Discord and Twitter. No public API for driving the platform from your own code, and no MCP server. Strategies, data and workspaces are files in your fork, which is how they are shared and versioned. ## Limitations **The project's dates have stopped moving.** Stable releases ran 1.1.0 (January 2022), 1.3.0 (November 2022), 1.5.0 (September 2023), 1.6.0 (31 January 2024) and 1.6.1 (2 November 2024), and none since. The default branch's last commit is a documentation fix merged on 7 May 2026; the code before it dates from late 2024. The nightly "Superalgos-Beta-v1.7.0 Snapshot" releases are created by a workflow from that same May 2026 commit, so a busy-looking releases page is not activity. On 4 October 2026 the repository had 62 open issues and 49 open pull requests, and was not archived. **The website was down on 4 October 2026.** HTTPS connections to superalgos.org failed, and over plain HTTP the domain served a Namecheap notice that its registration had expired; the registry listed it in its auto-renew period after the 21 September 2026 anniversary. The README still links there for the FAQs, the online demo and the system requirements. The in-app manual is the documentation that survives. **The exchange layer is old.** See the CCXT pin above. For a bot platform, that is the dependency most likely to fail silently first. **Installation assumes a developer.** Node.js, Git, a GitHub token and a fork are prerequisites even for someone who only wants to trade; the Docker install exists but cannot contribute back, and the README asks people with installation problems to use the Telegram group rather than open an issue. **The visual model is its own world.** Strategies are node hierarchies in Superalgos's schema, not code you can move to another engine. ## Alternatives [Freqtrade](https://cryptomarkets.tools/tools/freqtrade), [Hummingbot](https://cryptomarkets.tools/tools/hummingbot) and [OctoBot](https://cryptomarkets.tools/tools/octobot) are open-source, self-hosted bot engines with recent releases. [Jesse](https://cryptomarkets.tools/tools/jesse) covers the research-and-backtest half in Python. If what attracted you was the visual builder, the hosted platforms — [Coinrule](https://cryptomarkets.tools/tools/coinrule) or [3Commas](https://cryptomarkets.tools/tools/3commas) — are the maintained version of that idea, at the price of handing your keys to someone else. ## FAQ ### Is Superalgos still maintained? Barely, going by the dates. The last stable release is 1.6.1, published on 2 November 2024. The last commit on the default branch is a README link fix merged on 7 May 2026, and the last on the develop branch added Coinmate support on 22 September 2025. The "1.7.0 Snapshot" releases that appear every night are automated pre-releases of the same May 2026 commit, not new code. ### Why does the Visit link go to GitHub rather than superalgos.org? Because superalgos.org was not serving the project on 4 October 2026. Over HTTPS the connection was refused, and over plain HTTP the domain showed a Namecheap page saying its registration had expired. The repository is the one source that still works, and the README still points at the website for its FAQs, demo and system requirements. ### Does Superalgos cost anything? No. It is Apache-2.0 software you install yourself; there is no paid edition and no hosted plan. The project has its own SA token, which it distributes to contributors as a reward for development work — it is not a licence and you do not need any to run the platform. ### Can Superalgos take TradingView alerts? Yes. The client accepts webhook notifications over its own HTTP interface and keeps them in memory; a Webhooks Sensor Bot collects and saves them, and strategies can act on them as signals. The client has to be reachable from the internet for TradingView to post to it, which is your networking problem to solve. ## Also worth comparing - [Freqtrade](https://cryptomarkets.tools/tools/freqtrade.md) — Write the strategy in Python, backtest it, then run the same class live. - [GoCryptoTrader](https://cryptomarkets.tools/tools/gocryptotrader.md) — A Go trading engine for 22 exchanges that has never cut a release or a tag. - [OctoBot](https://cryptomarkets.tools/tools/octobot.md) — GPL-3.0 Python bot with a web interface for grid, DCA, basket and TradingView strategies. - [Passivbot](https://cryptomarkets.tools/tools/passivbot.md) — A contrarian perp market maker you configure in JSON and leave running for months. - [3Commas](https://cryptomarkets.tools/tools/3commas.md) — Hosted DCA, grid and signal bots on nine exchanges, relaunched in 2026 with WunderTrading. - [Bitsgap](https://cryptomarkets.tools/tools/bitsgap.md) — Hosted grid, DCA and futures bots on seventeen venues, with no API and no webhooks.