Three Thumbs IndicatorChecks following on daily chart:
current close above previous year close
5th close above previous year close
current close above SMA200
Sma200
Mikolaj Zakrzowski - Adjusted Mayer MultipleAuthor - Publication: Mikołaj Zakrzowski, Marek Zatwarnicki
Author - Algorithm: Mikołaj Zakrzowski
Author - Code: Marek Zatwarnicki, Derek Gruening
Inspired by: Mayer Multiple by Trace Mayer
Category: Technical Analysis
Type: Indicator
Timeframe: 1D Only
Index: INDEX:BTCUSD Only
About:
According to Willy Woo Mayer Multiple is "A way to gauge the current price of Bitcoin against its long range historical price movements (200 day moving average), the Mayer Multiple highlights when Bitcoin is overbought or oversold in the context of longer time frames".
My friend, Mikolaj Zakrzowski, decided to modify and adjust this indicator so that it could be normalized. This procedure allows for easier interpretation, and clear signals of the end of the ups and downs of a given Bitcoin cycle.
How to use:
BUY - Buy some Bitcoin , when label on last candle shows "Buy".
SELL- Sell some Bitcoin , when label on last candle shows "Sell".
Formula:
- Mayer Multiple - Close / ta. sma (close, 200)
- Formula for normalization is an intellectual property of Mikolaj Zakrzowski.
Overfitting: The presented algorithm is characterized by log regresion determined as of 01/01/2022. Tests with historical data show that the algorithm is very likely to work equally well the following years.
Disclaimer: Past good results do not guarantee future trading success. Please use the algorithm with caution and support it with your knowledge. Published algorithm decisions are not financial advice.
Mix1 : Ema Cross + Trend Channel [Gu5] - BacktestBacktest of the indicator "Mix1: Ema Cross + Trend Channel "
Trend indicator, by the crossing of moving averages
SMA200 with a channel as a filter confirms the trend.
The crossing of two moving averages, give alert only in trend.
Daily/MTF Moving Averages (EMA20, EMA55, SMA50, SMA100, SMA200)Script to plot common daily/alternative timeframe moving averages on when viewing securities at other resolutions.
There's lots of different MA scripts out there, but I couldn't find one that just represented the standard support/resistance indicators that were typical for my markets. So, this is the DIY. :)
sma 50 100 200 multi Timframes actual daily weekly monthlysma 50-100-200
Just 3 sma from actual,daily,weekly and monthly timeframe
Mix1 : Ema Cross + Trend Channel [Gu5]Based on Trend Channel
Ema-crossover is added
Crossing alerts, only on trend
Basado en mi anterior indicador, Trend Channel
Se agrega Cruce de Medias Moviles (Ema-crossover)
Las alertas solo son en favor a la tendencia
El valor de SMA Range es arbitrario (No Backtesting). Cambia la amplitud de canal que determina cuando es rango (barras amarillas por estar muy cerca del SMA200, sin tendencia definida)
Range Multiplier adapta el indicador a distintos mercados
//Setting recommended for SMA Range
//BTCUSD = 100
//EURUSD = 1000
//SPX = 100
//ETHUSD = 10
Si te fue útil este indicador, puedes comprarme una cerveza ;)
Trend Channel [Gu5]SMA 200 determines the trend
Bullish trend, green candles. Down trend, red candles.
If the market value is narrow to the SMA200 channel, yellow candles.
Setting recommended for SMA Range
BTCUSD = 100
EURUSD = 1000
SPX = 100
ETHUSD = 10
3 EMA (15-50-200) - 6 SMA (7-30-50-128-200-360)3 Moving Average Exponential - 6 Simple Moving Average . Crypto EMA - MA . 7 is a fast support or resistance, 15 confirmation support or resistance. 30 Important support and resistance . 50 institutional support or resistance. 200 institutional general trend, support and resistance , 360 general trend, support and resistance . The use of EMA or MA is according to your liking/trading plan
MACD + SMA 200 StrategyHere is a combination of the classic MACD (moving average convergence divergence indicator) with the classic slow moving average SMA with period 200 together as a strategy.
This strategy goes long if the MACD histogram and the MACD momentum are both above zero and the fast MACD moving average is above the slow MACD moving average. As additional long filter the recent price has to be above the SMA 200. If the inverse logic is true, the strategy goes short. For the worst case there is a max intraday equity loss of 50% filter.
TheWolfOfBinance Moving Averages4 moving averages
231 (white) shows the trend
77 (red) crosses above 231 (white) buy signal - longterm
7 (green) crosses above 77 (red) buy signal - quick money
7 (green) crosses below 21 (yellow) sell signal - quick money gone
7 (green) crosses below 77 (red) sell signal - quick money gone
MACD + SMA 200 Strategy (by ChartArt)Here is a combination of the classic MACD (moving average convergence divergence indicator) with the classic slow moving average SMA with period 200 together as a strategy.
This strategy goes long if the MACD histogram and the MACD momentum are both above zero and the fast MACD moving average is above the slow MACD moving average. As additional long filter the recent price has to be above the SMA 200. If the inverse logic is true, the strategy goes short. For the worst case there is a max intraday equity loss of 50% filter.
Save another $999 bucks with my free strategy.
This strategy works in the backtest on the daily chart of Bitcoin, as well as on the S&P 500 and the Dow Jones Industrial Average daily charts. Current performance as of November 30, 2015 on the SPX500 CFD daily is percent profitable: 68% since the year 1970 with a profit factor of 6.4. Current performance as of November 30, 2015 on the DOWI index daily is percent profitable: 51% since the year 1915 with a profit factor of 10.8.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.