Required stack
필요 기술
PythonNode.jsGoREST APIWebSocketCloud DeploymentVPSFrontend Framework (e.g., Flask/Django with Jinja2 or a lightweight JS framework)Database (e.g., SQLite, PostgreSQL)TradingView WebhookDhan APIFyers APIAlgorithmic TradingRisk Management
Project brief
프로젝트 내용
I have a, rule-based strategy on TradingView that fires clear buy/sell signals together with fixed stop-loss and target levels. Now I want those alerts to flow straight into live orders with an Indian brokerage—Dhan or Fyers are both fine; whichever you feel is more stable and quickest to integrate through their API.
Here is what the finished solution must handle:
• Parse every TradingView alert (webhook or other reliable method) and place the entry exactly as the signal specifies.
• Apply the same stop-loss and target that the script prints, then introduce a trailing-stop-loss logic so profits can lock in automatically.
• Enforce sensible risk-management: position sizing based on either percentage of capital or fixed money value (we can decide this together).
• Offer a lightweight dashboard—web or desktop—that shows current positions, P&L, active stops/targets, and a quick override button for manual exit.
• Run unattended once deployed, with logs/notifications so I can audit every fill.
• Include clear documentation and a brief hand-over call; I am available throughout to share the Pine Script, alert format, and any broker credentials you need.
Tech stack is your choice—Python, Node, Go—so long as it connects reliably to the broker’s REST/WebSocket endpoints and can sit on a VPS for 24×7 uptime.
I want it to be cloud based but i don't want to use trading view premium.
Give me best possible solutions
Deliverables
1. Source code and compiled service/daemon
2. Config file or UI to change credentials, risk parameters, and symbols
3. Dashboard front-end with real-time data
4. Deployment guide and one round of live-market testing with me
If this sounds straightforward to you, let’s discuss timelines and how you prefer to structure milestones.
Here is what the finished solution must handle:
• Parse every TradingView alert (webhook or other reliable method) and place the entry exactly as the signal specifies.
• Apply the same stop-loss and target that the script prints, then introduce a trailing-stop-loss logic so profits can lock in automatically.
• Enforce sensible risk-management: position sizing based on either percentage of capital or fixed money value (we can decide this together).
• Offer a lightweight dashboard—web or desktop—that shows current positions, P&L, active stops/targets, and a quick override button for manual exit.
• Run unattended once deployed, with logs/notifications so I can audit every fill.
• Include clear documentation and a brief hand-over call; I am available throughout to share the Pine Script, alert format, and any broker credentials you need.
Tech stack is your choice—Python, Node, Go—so long as it connects reliably to the broker’s REST/WebSocket endpoints and can sit on a VPS for 24×7 uptime.
I want it to be cloud based but i don't want to use trading view premium.
Give me best possible solutions
Deliverables
1. Source code and compiled service/daemon
2. Config file or UI to change credentials, risk parameters, and symbols
3. Dashboard front-end with real-time data
4. Deployment guide and one round of live-market testing with me
If this sounds straightforward to you, let’s discuss timelines and how you prefer to structure milestones.