Moon energy represent the masses, crowds, public places, children and emotions. The transit of the Moon through the zodiacal signs will color the crowd emotional responses that fluctuate based on the elemental qualities of the signs: fire (energetic and impulsive), earth (rigid, static, patient), water (assimilation, transformation, humor fluctuations), air...
This chart overlay provides the daily 9 SMA of Gold.
If the price of GOLD is ABOVE the 9 SMA then the line will be GOLD
If the price of GOLD is BELOW the 9 SMA then the line will be RED
A good way to use this overlay is by understanding how Gold effects currency pairs.
if GOLD is BULLISH - then AUD/USD is BULLISH
if GOLD is BULLISH - then NZD/USD is BULLISH...
Combined the RSI inverse of gold to USD with the Dollar index (or whatever stock symbol that may be inverted/complementary) with another asset/currency, like bitcoin, you can basically be well informed when a potential move is on the horizon. Settings allow for inverse settings and de-combining the two pairs as well as a nice cloud look if all the lines get annoying.
My strategy uses a combination of three indicators MACD Stochastic RSI.
The Idea is to buy when ( MACD > Signal and RSI > 50 and Stochastic > 50) occures at the same time
This strategy works well on stocks and cryptos especially during market breaking up after consolidation
The best results are on Daily charts , so its NOT a scalping strategy. But it can...
Sharing one more strategy after getting good feedback on my earlier published strategy.
This is simple volatility stop strategy where in we are using VStop as entry and exit point.
Again smart traders can add MA to decide the trend and can avoid trading in opposite direction of trend which will help them to minimize...
Sharing the simple trend following trading strategy, traders can add their own rules in this, to minimise the losses and maximise the profits. Like below.
1. Go long only if price is above 189 days EMA/SAM
2. Exit position when high or low of previous candle is breached in the opposite direction of the trend.
3. Go long...
Display the correlation coefficient and/or Beta of an asset to a specified market.
- Specify market (S&P500 futures by default)
- Display one or other metrics
- Modify assessment period (200 bars by default)
- Calculate on price, returns or log-returns
Swing or scalping - automatically determine the currently active trends. Various moving averages are used. It is also designed for any type of trader from scalping to swing.
The key 3 moving averages are designed to identify support and resistance. If the price bounces off them, boldly open and place a stop of 10-20 pips(currency pairs)
buy ---> ...
A great crossover is an opportunity to find trends at the very beginning! Used for the rate at which trends occur.
Yellow candles signal a bullish trend! Black candles signal a bear market. White candles tell us about consolidation. A buy and sell signal is provided.
yellow candle -> bull
black candle -> bear
This is a simple rate converter that can convert almost anything into almost anything else. It supports cryptocurrencies, currencies and most commodities.
On the chart we see the following:
USD (US Dollar) into EUR (Euro) as a candle stick chart
WTICO (West Texas Intermediate Crude Oil) into ISK (Icelandic Krona) as a bar chart
ADA (Cardano) into JMD...
Script plots correlation of chart symbol to a variety of indexes, symbols, equities. ** Original idea was to find Bitcoin correlation, which I did not. Built in correlations are: Nikie, DAX, SPY, AAPL, US Dollar, Gold, EURUSD, USDCNY, EEM, QQQ, XLK, XLF, USDJPY, EURGBP
This strategy is for learning purposes only. Pay special attention to these strategies on longer aggregation periods (like 1 hr chart or more). Don't expect accurate results when you set a limit to 10 cents above your entry to be accurate. For example if you set the chart to 1 day, the price may move down and hit a stop 10 times then tag your limit. If this...
This script created by training WTI 4 hour data , 7 indicators and 12 Guppy Exponential Moving Averages.
Learning cycles: 1
AutoSave cycles: 100
Training error: 0.007593 ( Smaller than average target ! )
Input columns: 19
Output columns: 1
Excluded columns: 0
Training example rows: 300
Validating example rows: 0
Querying example rows: 0