TrendSpider Day-Trading Automation
Budget: $30 – $250 USD
I need to turn my manual day-trading playbook into fully automated strategies inside TrendSpider. The goal is simple: when the exact market conditions I specify appear, orders fire without hesitation and without me hovering over the screen.
Here is what I already have and what I expect next:
• A clear, rule-based day-trading system for stocks (entries, exits, filters, risk limits).
• Access to a funded brokerage account that integrates with TrendSpider via webhooks or API.
• Historical data sets for validation.
What I need from you is the full build-out:
1. Translate my written rules into TrendSpider’s Strategy Tester logic, creating the multi-condition alerts necessary for live automation.
2. Back-test each rule set over at least three distinct market regimes so I can see win rate, expectancy, and max drawdown.
3. Connect the live alerts to my broker through webhook scripting, making sure position sizing and protective stops follow my parameters.
4. Provide concise documentation (PDF or shared doc) that explains how to modify variables—so I can tweak time frames, indicators, or sizing without touching code.
Acceptance criteria
• Trades fire in a paper account for one full session with zero manual intervention.
• Back-test stats match manual calculations within a 2 % margin.
• All code, alert templates, and the documentation are delivered in an organized folder.
If you’re comfortable scripting inside TrendSpider and have previously automated equity day-trading strategies, this should feel straightforward. I’m ready to supply the strategy outline as soon as we agree on milestones and timeline.
Here is what I already have and what I expect next:
• A clear, rule-based day-trading system for stocks (entries, exits, filters, risk limits).
• Access to a funded brokerage account that integrates with TrendSpider via webhooks or API.
• Historical data sets for validation.
What I need from you is the full build-out:
1. Translate my written rules into TrendSpider’s Strategy Tester logic, creating the multi-condition alerts necessary for live automation.
2. Back-test each rule set over at least three distinct market regimes so I can see win rate, expectancy, and max drawdown.
3. Connect the live alerts to my broker through webhook scripting, making sure position sizing and protective stops follow my parameters.
4. Provide concise documentation (PDF or shared doc) that explains how to modify variables—so I can tweak time frames, indicators, or sizing without touching code.
Acceptance criteria
• Trades fire in a paper account for one full session with zero manual intervention.
• Back-test stats match manual calculations within a 2 % margin.
• All code, alert templates, and the documentation are delivered in an organized folder.
If you’re comfortable scripting inside TrendSpider and have previously automated equity day-trading strategies, this should feel straightforward. I’m ready to supply the strategy outline as soon as we agree on milestones and timeline.
Related categories:
Algorithm
Financial Analysis
API
Data Visualization
Data Analysis
Automation
Data Management
Backtesting