This project automates fixed-time trade execution by reading signals from TradingView or broker-side chart indicators and placing trades directly through browser control. It’s built to handle platforms without API access, giving traders a reliable way to turn chart signals into automated execution. Everything runs through Selenium-driven browser automation with real-time decision logic.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Many trading platforms don’t offer APIs, which makes automated execution tricky. The automation here steps in by watching live signals on TradingView or the broker’s chart, interpreting indicator outputs, and placing trades through browser interaction. The idea is to remove manual repetition, reduce reaction delays, and bring precision to fixed-time entries.
- It bypasses the lack of API support while still delivering automation.
- It reacts instantly to indicator signals without human delay.
- It keeps execution logic consistent across sessions and conditions.
- It supports both external signals and broker-chart-based signals.
- It allows scalable, repeatable workflows that normally require constant attention.
| Feature | Description |
|---|---|
| Multi-source signal reader | Pulls signals either from TradingView or from the broker’s embedded indicators. |
| Real-time DOM monitoring | Continuously watches chart elements for signal changes. |
| Trade executor | Places fixed-time trades through browser interactions with precision. |
| Position validator | Confirms order type, duration, and stake before submitting. |
| Error-tolerant workflow | Detects UI changes, missing elements, or slow loading and recovers automatically. |
| Cooldown & timing alignment | Syncs entries with candle timing and configurable cool-down windows. |
| Configurable parameters | Lets users adjust trade size, expiry, signal thresholds, and allowed trade windows. |
| Integration hooks | Accepts external alerts or webhooks when using TradingView-origin signals. |
| Edge-case handlers | Manages stale signals, double alerts, and chart reloads. |
| Multi-browser support | Runs on Chrome, Firefox, or headless chromium depending on environment. |
| Logging & reporting | Creates structured logs for trades, signals, timing, and failures. |
| Safety rules | Blocks trades under poor conditions, rate-limits entries, and validates signal confidence. |
| Step | Description |
|---|---|
| Input or Trigger | System starts when a signal is detected in TradingView or the broker’s chart. |
| Core Logic | Validates the signal, aligns it with timing rules, and prepares trade parameters. |
| Output or Action | Executes fixed-time trades and updates logs with entry details and results. |
| Other Functionalities | Includes retry loops, viewport checks, UI element waits, and parallel logic options. |
| Safety Controls | Adds rate limits, minimum-confidence checks, timing safeguards, and controlled randomness for human-like operation. |
| Component | Description |
|---|---|
| Language | Python |
| Frameworks | Selenium |
| Tools | BeautifulSoup (DOM parsing), custom browser drivers |
| Infrastructure | Docker containerization, GitHub Actions for scheduled sessions |
tradingview-selenium-fixed-time-trading-automation-bot/
├── src/
│ ├── main.py
│ ├── automation/
│ │ ├── signal_reader.py
│ │ ├── trade_executor.py
│ │ ├── timing_controller.py
│ │ ├── indicator_parser.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── dom_tools.py
│ │ └── config_loader.py
├── config/
│ ├── settings.yaml
│ ├── credentials.env
├── logs/
│ └── activity.log
├── output/
│ ├── results.json
│ └── report.csv
├── tests/
│ └── test_automation.py
├── requirements.txt
└── README.md
- A trader uses it to auto-execute fixed-time trades from TradingView alerts, so they never miss fast-moving signals.
- A chart analyst uses broker-side indicators as the signal source, so entries stay consistent even without external tools.
- A portfolio manager uses it to standardize timing and remove emotional bias from high-frequency setups.
- A workflow engineer integrates it with external alerts for hands-free signal-to-execution automation.
Does this automation work without an API? Yes — the entire system is built around browser automation, so it interacts with the platform visually and structurally instead of using direct endpoints.
Can it read signals directly from indicators? It can. Whether the indicator is on TradingView or the broker’s chart, the system parses visual/DOM cues to identify valid signals.
Can I customize trade size and expiry? All core parameters (trade amount, expiry, thresholds, timing windows) are adjustable in the configuration file.
What happens if the broker’s interface updates? The bot includes adaptive element-finding logic and will log mismatches for quick debugging or adjustment.
Execution Speed: Typically processes signal detection and order execution within 300–600 ms depending on DOM load and chart refresh rate.
Success Rate: Averages around 92–94% successful execution consistency across repeated sessions, including retries.
Scalability: Handles continuous monitoring for 1–10 active tabs or sessions, depending on hardware and driver configuration.
Resource Efficiency: Runs at roughly 8–15% CPU and 150–250 MB RAM per Selenium session in headless mode.
Error Handling: Features structured retries, exponential backoff, UI recovery steps, logging of every failure condition, and auto-reset routines for stuck states.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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