Depending on the market you are trading, adjust the settings to correct any errors you are consistently seeing from the alerts.

MarketGod v9 Recommendations BTCUSD Recommended Filter by Time Frame for Max Net Profit * 1D: 20 * 6H: 15 * 4H: 40 * 1H: 40 * 15m: 40 * 10m: 50 Recommended Filter by Time Frame for Max Percent Profitable * 1D: 20 * 6H: 5 * 4H: 50 * 1H: 35 * 15m: 50 * 10m: 40 * 5m: 50

Since our indicator does not and will not repaint, its more than likely you've tried to set an alert on the strategy and not the indicator. Set the alert on the indicator to correct the issue.

The MarketGod indicator is based on a combination of technical indicators such as moving averages, oscillators, and volume data, to provide traders with buy and sell signals. The indicator is designed to help traders identify trends, identify potential entry and exit points, and manage risk.

If your labels are disappearing on a given chart, it may be related to Tradingview's limits on plots and labels.

Yes, any changes to your Tradingview username will directly impact your MarketGod permissions and access to the indicator. We are happy to update them accordingly just email our support team → support@marketgod.io

Percent profitable is a metric used in trading to measure the percentage of a trader's trades that were profitable. It is calculated by dividing the total number of profitable trades by the total number of trades, and expressing the result as a percentage. For example, if a trader made 100 trades and 60 of them were profitable, their percent profitable would be 60%. Percent profitable is often used by traders to evaluate the effectiveness of their trading strategy, and to compare their performance to other traders. A higher percent profitable typically indicates that a trader's strategy is effective and profitable, while a lower percent profitable may indicate that the trader needs to make adjustments to their strategy.

We've designed MarketGod to work on all of them. If a ticker is available on our partner's site, we can analyze the data and apply the algorithm.