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How to Set Take-Profit and Stop-Loss Targets on Bybit Using TradingView Charts?

To connect TradingView alerts to Bybit via webhook, configure a secure HTTPS endpoint in your Python bot, validate payload structure and TP/SL formatting per symbol specs, then execute atomic orders with error handling and audit logging.

Oct 05, 2026 at 11:19 am

Connecting TradingView Alerts to Bybit via Webhook

1. Configure an alert in TradingView with a custom webhook URL pointing to your Python-based execution service.

2. Ensure the alert message contains precise order parameters including symbol, side, order type, size, and price-level fields for TP and SL.

3. Validate that the payload structure matches Bybit’s inverse or linear contract requirements depending on the selected market.

4. Use HTTPS endpoints only; unsecured HTTP triggers will be rejected by Bybit’s API gateway.

5. Test alerts using manual trigger options inside TradingView before enabling live execution.

Formatting TP/SL Values in Alert Messages

1. Embed TP and SL as numeric values directly in the alert message body using predefined keys like take_profit and stop_loss.

2. Specify absolute prices for limit-based TP/SL or percentage offsets relative to entry for trailing variants.

3. Include decimal precision matching the symbol’s tick size—e.g., BTCUSD uses 0.5 USD increments while ETHUSD uses 0.05 USD.

4. Avoid mixing quote-currency and base-currency units; all values must be denominated in the quote currency unless otherwise defined in the bot logic.

5. Separate multiple TP levels using semicolons if multi-tier take-profit strategies are deployed.

Order Execution Flow on Bybit

1. The Python bot receives the JSON payload and parses symbol, side, and position size from the alert.

2. It calculates required leverage and margin mode based on the user’s account settings and contract type.

3. TP and SL values are converted into Bybit-compatible format and passed into the set_trading_stop endpoint after opening the position.

4. If the order is a conditional market entry, the bot places both the main order and associated TP/SL in a single atomic sequence using Bybit’s batch order API.

5. Every executed action logs timestamp, order ID, and response status for auditability and reconciliation.

Handling Price Slippage and Rejection Scenarios

1. Monitor error codes such as 130027 (price not within allowed range) and adjust TP/SL inputs dynamically before resubmission.

2. Implement retry logic with exponential backoff when encountering rate-limiting responses from Bybit’s REST interface.

3. Reject alerts containing invalid price formats like scientific notation or non-numeric characters in TP/SL fields.

4. Cross-check current mark price against requested TP/SL levels to prevent immediate triggering due to misaligned reference points.

5. Maintain local state tracking of open positions to avoid duplicate TP/SL updates during overlapping alerts.

Frequently Asked Questions

Q: Can I set different TP/SL for long and short positions in the same alert template?Yes. Use conditional logic inside the TradingView Pine Script to output distinct TP/SL values based on strategy.position_size sign.

Q: Does Bybit support trailing stop-loss through TradingView webhooks?Native trailing stops require direct API calls to position/trading-stop with tp_sl_mode=Full and trailing_stop parameter. Standard webhook payloads do not include this field by default.

Q: Why does my TP get triggered immediately after order placement?This occurs when the TP price lies inside the current bid-ask spread or matches the mark price at execution time. Adjust TP to be at least one tick beyond the latest index price before sending the alert.

Q: Is it possible to update TP/SL after the position is opened without closing and reopening?Yes. The bot can issue a follow-up request to Bybit’s position/trading-stop endpoint using the same position ID and updated price values.

Disclaimer:info@kdj.com

The information provided is not trading advice. kdj.com does not assume any responsibility for any investments made based on the information provided in this article. Cryptocurrencies are highly volatile and it is highly recommended that you invest with caution after thorough research!

If you believe that the content used on this website infringes your copyright, please contact us immediately (info@kdj.com) and we will delete it promptly.

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