traders >
ML-Scored Indicators
Visual dashboards with live pattern recognition, market structure scanning, and liquidation heatmaps.
<100ms latency
The Intelligence Layer
For Modern Markets.
One signal layer - Three ways to connect
ai-agents >
WebSocket • TCP Feeds
Ultra-low latency WebSocket feeds and REST APIs designed specifically for agent enabled workflows.
streaming
$ developers >
sinho-cli + MCP Servers
Powerful CLI tools and MCP server integration to build custom workflows and power LLM-based analysis.
ready
Advanced Visualizations
See What Others
Can't See
Professional-grade charting with institutional-level pattern recognition. Every signal, every insight, exactly when you need it.
Low latency, native iOS and Android apps
Trade on the go with millisecond precision
Built for Machines
Direct WebSocket Feed
For Autonomous Agents
Bypass the UI. Connect your trading bots directly to our institutional-grade WebSocket API. Receive structured JSON payloads for every pattern, structure, and liquidation event the moment it's detected.
99.99%
Uptime SLA
<100ms
Latency
websocket_signals_stream
05:21:33.337 [STRUCTURE] {"symbol": "ETH-USD", "pattern": "ORDER_BLOCK", "tf": "15m"}
05:21:33.137 [STRUCTURE] {"symbol": "ETH-USD", "pattern": "FVG_DOWN", "tf": "15m"}
05:21:32.937 [LIQUIDATION] {"symbol": "BTC-USD", "event": "WHALE_STOP_RUN", "amt": 37}
05:21:32.735 [PATTERN] {"symbol": "SOL-USD", "pattern": "INV_HEAD_SHOULDERS", "conf": 0.91}
05:21:32.536 [PATTERN] {"symbol": "SOL-USD", "pattern": "M_TOP", "conf": 0.83}
05:21:32.335 [STRUCTURE] {"symbol": "ETH-USD", "pattern": "ORDER_BLOCK", "tf": "15m"}
05:21:32.135 [INFO] Heartbeat: 53ms latency to exchange
05:21:31.936 [INFO] Heartbeat: 19ms latency to exchange
05:21:31.737 [PATTERN] {"symbol": "SOL-USD", "pattern": "CONSOLIDATION", "conf": 0.84}
05:21:31.537 [STRUCTURE] {"symbol": "ETH-USD", "pattern": "ORDER_BLOCK", "tf": "15m"}
05:21:31.338 [INFO] Heartbeat: 43ms latency to exchange
05:21:31.135 [PATTERN] {"symbol": "SOL-USD", "pattern": "BULL_FLAG", "conf": 0.93}
05:21:30.937 [STRUCTURE] {"symbol": "ETH-USD", "pattern": "BREAKER_BLOCK", "tf": "15m"}
05:21:30.536 [INFO] Heartbeat: 50ms latency to exchange
Built for Developers
Build on the
Intelligence Layer
Whether you prefer the command line or are building the next generation of AI agents, we provide the primitives you need.
>_ The sinho-cli Tool
Stream signals directly to your terminal or pipe them into your own applications. Perfect for rapid testing and local development.
1
Install via npm, brew, or cargo
2
Authenticate with your API key
3
Pipe JSON output to your scripts
user@machine: ~
$ npm install -g sinho-cli
+ sinho-cli@1.2.4
added 42 packages in 1.4s
$ sinho stream --filter="score >= 50"
{"type": "HNS", "symbol": "BTC", "score": 65}
{"type": "MTOP", "symbol": "SOL", "score": 86}
{"type": "OB", "symbol": "ETH", "score": 78}
{"type": "MTOP", "symbol": "OP", "score": 66}
{"type": "OB", "symbol": "SOL", "score": 98}
{} MCP for LLM Agents
Expose Sinho signals, scanner output, scores, and market structure as tools your LLM can call. Give agents fresh market context without scraping charts or guessing from stale prompts.
1
Add the Sinho MCP server to Claude Desktop, Cursor, or your own MCP client
2
Connect your API key and choose the symbols, timeframes, and signal families agents can query
3
Let LLMs pull market context, compare indicators, summarize scanner results, and trigger workflows
mcp-client: sinho
$ sinho mcp serve
stdio transport ready
tools: get_signals, scan_market, explain_score, market_context
assistant "summarize BTC/USDT context"
tool: sinho.market_context
{"symbol": "BTC/USDT", "timeframe": "1m", "signals": 12}
{"top_score": 86, "families": ["structure", "indicator", "candlestick"]}
assistant "why is this score high?"
tool: sinho.explain_score
{"basis": "historical similarity", "drivers": ["RSI", "volume", "market_structure"]}
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