200SMA Distance OscillatorThe oscillator measures the percentage deviation of closing price x from SMA200.
The idea behind the oscillator was preceded by an analysis of how often MAs in the index hold/bounce or are broken through.
Basically, the idea was about index analysis, i.e., the macro picture of a market.
Who wants to buy individual stocks when the overall market is plummeting ;-)
Or in other words: How long are you long in a market? When is it time to take profits?
After the analysis of the stability of SMAs in the index was rather modest (ratio of just under 6:4 for bounce to breakout – overall in 20, 50, 100, and 200 frames from 2020 to 2025), it was noticeable that the percentage over- or underperformance was scalable, especially in indices.
And since indices generally move upwards, there were fixed limits for over- and underestimations – especially in the longer term (SMA200) – unlike with individual stocks.
It is therefore more a question of macro trends and less of short-term movements, e.g., in day trading.
It was now interesting to see at what percentage range counter-movements were likely – particularly in the positive range for profit-taking, but of course also in the negative range for entry into sold-off markets.
If, for example, closing prices around +25% above SMA200 were reached in the NDX, the probability is very high that the market has overreacted and an interim correction will follow – so the theory goes.
On the other hand, continuous levels of +5 to +10% are a product of healthy positive development in a bull market and do not necessarily require action.
The oscillator was specifically designed for the NDX, but can also be used for the SPX and others.
The style was based on the RSI, so that the color level rises from 10% to 20% (overbought/oversold principle).
Based on manually examined movements, the criteria were set as follows:
+/-10% = flow / no color background
> +/-10% = border areas / color background
The center line represents the 252 average of the percentage deviations and could also be used as a trigger, provided it has been historically examined and is valid.
The oscillator is very interesting because it behaves completely differently from one financial instrument to another and, as a result, also in the timeframes (4h, D, W).
It would probably make sense to change the flow and border levels in the code when using it outside of indices.
The fact is that the oscillator must be “adjusted” to each instrument in order to achieve its goal of providing the best possible prediction. “Adjusting” refers to the analysis of the levels at which an instrument/asset usually reacts.
As with all indicators and oscillators, it is advisable to take other indicators and, in particular, macro news into account when analyzing this development.
If I find any substantial correlations with other indicators, I will be happy to provide an update.
The idea came from me, the code from Grok.
The code is not 100% perfect, but the data (percentage deviation, color background) is correct according to initial analysis.
In the settings, you can make the lines of the plots invisible. This makes the oscillator clearer. You can also adjust the settings for the average line.
Sma200
Three Thumbs IndicatorChecks following on daily chart:
current close above previous year close
5th close above previous year close
current close above SMA200
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 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.








