Combining the daily trend with MAs crossover is possible to find very good trade opportunities, the average monthly accuracy of the astro cycles models is 57%-60%, this means that from 30 average days in a month usually 60% of the daily price trend predictions will be correct except in the months when cycles are out of phase. Usually the cycle re-align in few weeks due the fact that Moon, Mercury, Venus and Sun are the more repetitive cycles that tend to dominate the human emotions so only when slow planets cycles interferes with fast cycles the accuracy will be affected.
You will need to tune the Master Cycle, consolidation bars, hours shift, trailing stop and stop loss parameters to best fit each market conditions and backtest to ensure that the strategy is correctly calibrated.
The previous version included signals up to 30 June 2021, with this update we include signals from January 1, 2021 to 31 December 2022, the purpose of past signals is to allow backtesting for the strategy parameters tuning. Additionally, we have simplified the parameters to the ones that are most relevant to improve the signals accuracy. Finally, we expose the smooth daily trend signals (moving average scaled to recent price) that provide an indicator of possible turning points, this signal is projected 2 weeks into the future so it is a leading trend indicator very handy for determining sideways market conditions where is not worth to be in the market.
DISCLAIMER: This strategy is experimental and don’t provide financial or investment advice, the main purpose is to document the research observations within financial astrology field. Any allocation of funds following the documented machine learning model prediction is a high-risk endeavour and it’s the users responsibility to practice healthy risk management according to your situation.
Contribute to our statistical analysis and machine learning models at Github: https://github.com/financial-astrology-research
In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.