McGinley Dynamic Indicator This is a strategy based on the Mcginley Dynamic Moving Average indicator, a type of moving average that was designed to track the market better than existing moving average indicators. It is a technical indicator that improves upon moving average lines by adjusting for shifts in market speed.
Moving averages used:
EMA: 21
EMA: 42
The chart used for the backtest was the Bovespa Futures Index ( WIN1! Continuous: current contract in front )
Crossover
MA-EMA Crossover LTJust a simple strategy based on dynamic zones by Allenster. Still a work in progress.
Uhl MA System - Strategy AnalysisThe Uhl MA crossover system was specifically designed to provide an adaptive MA crossover system that didn't committed the same errors of more classical MA systems. This crossover system is based on a fast and a slow moving average, with the slow moving average being the corrected moving average (CMA) originally proposed by Andreas Uhl, and the fast moving average being the corrected trend step (CTS) which is also based on the corrected moving average design.
For more information see :
In this post, the performances of this system are analyzed on various markets.
Setup And Rules
The analysis is solely based on the indicator signals, therefore no spread is applied. Constant position sizing is used. The strategy will be backtested on the 15 minute time-frame. The mult setting is discarded, the default setting used for length is 100.
Here are the rules of our strategy :
long: CTS crossover CMA
short: CTS crossunder CMA
Results And Data
EURUSD:
Net Profit: $ 0.08
Total number of trades: 99
Profitability: 35.35 %
Profit Factor: 1.834
Max Drawdown: $ 0.01
EURUSD behaved pretty well, and was most of time showing long term trends without exhibiting particularly tricky structures, the moving averages still did cross during ranging phases, since march 9 we can see a downtrend with more pronounced cyclical variations (retracements) that could potentially lead to loosing trades.
BTCUSD:
Net Profit: $ 4371.57
Total number of trades: 94
Profitability: 32.98 %
Profit Factor: 1.749
Max Drawdown: $ 1409.96
The strategy didn't started well, producing its largest drawdown after only a few trades, the strategy still managed to recover. BTCUSD exhibited a strong downtrend, the strategy profited from that to recover, signals still occurred on ranging phases, and where mostly caused by a short term volatile move, unfortunately the CMA can converge toward ranging/flat price zones where false signals might occur at higher frequency.
AMD:
Net Profit: $ 16.09
Total number of trades: 95
Profitability: 29.47 %
Profit Factor: 1.288
Max Drawdown: $ 20.11
On AMD the strategy started relatively well with a raising balance, then the balance quickly fallen, this downtrend in the balance lasted quite some time (almost 48 trades), the strategy finally recovered in Nov 2019 and the balance made a new highest high at the end of February. AMD had numerous trends during the backtesting period, yet results are poor.
AAPL:
Net Profit: $ -28.17
Total number of trades: 89
Profitability: 28.09 %
Profit Factor: 0.894
Max Drawdown: $ 63.21
AAPL show the poorest results so far, with a stationary balance around the initial capital (in short the evolution of the balance is not showing any particular trend and oscillate around the initial capital value).
AAPL had some significant retracements in its up-trend, which triggered some trades (of course), and the ranging period from Jan 24 to Feb 13 heavily damaged the strategy performance, generating 6 significant loosing trades. AAPL show the worst results so far, mostly due by ranging phases.
Conclusions
The Uhl MA crossover system strategy has been tested and based on the results don't show particularly interesting performances, and might even be outperformed by simpler MA systems that prove to be more robust against ranging markets. The total number of executed trades are on average 94, and the profitability is on average 31%. The strategy might prove more interesting if we can correct the behavior of the CMA, who sometimes converged toward ranging/flat markets.
SMA Cross Entry & Exit StrategyThis is a TradingView Strategy Script meaning you can't execute real trades using your exchange API connected to your TradingView account, it is designed for backtesting only
This is a basic backtesting script for charting the bullish and bearish cross of two user defined simple moving averages, select the cog next to the name of the script ON the price chart in the left hand corner. The script will print to the screen either "Long Entry" or "Short Entry" depending on the direction of the cross. The script using TradingView strategies will subsequently close the opposite of the position that is executed when the bullish or bearish cross occurs. Simply put, if you are short and a bullish cross occurs, your short trade will close and be logged in strategies and the long will fire. You can pyramid the long and short positions to continue entering as long as the trend doesn't flip. You will find this in the script settings. Since this script is for backtesting you can manually set the "backtesting range" for TradingView Strategies and firing the "Long Entry" and "Short Entry". This as well, is in the settings.
Notice: When the SMA cross occurs, you have to wait till the next candle before TradingView Strategy will print the "Long Entry" or "Short Entry" to the screen
TradingView - How To Use Strategies: www.tradingview.com
150MA Cross BuyAndSell Strategy [d3nv3r]This is a Buy And Sell Strategy I haven't seen anywhere so i share mine.
Used on Bitcoin - daily chart - the strategy generate sell and buy indicator on crossover and crossunder the 150 simple moving average.
Scripting Tutorial 9 - TManyMA Strategy - Long Market Order OnlyThis script is for a triple moving average strategy where the user can select from different types of moving averages, price sources, lookback periods and resolutions.
Features:
- 3 Moving Averages with variable MA types, periods, price sources, resolutions and the ability to disable each individually
- Crossovers are plotted on the chart with detailed information regarding the crossover (Ex: 50 SMA crossed over 200 SMA )
- Forecasting available for all three MAs. MA values are forecasted 5 values out and plotted as if a continuation to the MA.
- Forecast bias also applies to all forecasting. Bias means we can forecast based on an anticipated bullish, bearish or neutral direction in the market.
- To understand bias, please read the source code, or if you can't read the code just send me a message on here or Twitter. Twitter should be linked to my profile.
- Ribbons added and on by default. Optional setting to disable the ribbons. 5 ribbons between MA1 and MA2 and another 5 between MA2 and MA3.
- Ribbons are alpha-color coded based on their relation to their default MAs.
- Ribbons are only visible between MAs if the MAs being compared share the same Type, Resolution, and Source because there is no way to consolidate those three in a simple manner.
- Ribbon values are calculated based on calculated MA Periods between the MAs.
- Converted the existing study into a strategy
- Strategy only enters long positions with a market order when MA crossovers occur
- Strategy exits positions when crossunders occur
- Trades 100% of the equity with one order/position by default
- Ability to disable trading certain crosses with input checks
This script is meant as an educational script with well-formatted styling, and references for specific functions.
*** PLEASE NOTE - THIS STRATEGY IS MEANT FOR LEARNING PURPOSES. DEPENDING ON IT'S CONFIGURATION IT MAY OR MAY NOT BE USEFUL FOR ACTUAL TRADING. THE STRATEGY IS NOT FINANCIAL ADVICE ***
EMA X BF 🚀EMA Crossover Strategy
A simple EMA cross is a useful indication of a change in direction of a trend and is a very popular tool in trading. It can also be useful to judge price action momentum or severity by looking at the angle of the 2 EMAs, or the distance between them.
There are 2 Exponential Moving Averages, one fast and one slow. When the fast EMA crosses above the slow EMA, this can be considered bullish and may signal an upside move. Conversely, a cross to the downside of the fast EMA under the slow EMA can be considered bearish.
This strategy uses the same principle but uses different sources for the 2 EMAs; instead of using close values, we use ohlc4 values for the fast EMA and hlc3 values for the slow EMA.
The idea is that a trader might enter a long position upon a cross up and reverse position and go short upon the next cross down.
We use a simple 6% stop loss for both long and short positions.
This strategy is tuned to a 6hr chart for Bitcoin USD pairs.
INSTRUCTIONS
Go Long when the background is green
Go short when the background is red
White background means sideways market: a no trade zone
Renko Strategy with Ema against price crossover/underRenko Strategy with Ema against price crossover/under
Crossing Ema Signals by SedkurGives an signals when 2 Ema's cross.
You can
- change EMA values
- change the signal start year
4 JMA Crossover Strategy (ps4)This is a PS4 update to my previous 4 JMA strategy that received many likes. In this and several recent strategies I use a simplified strategy setup, featuring trailing stops with very tiny increments. This is done intentionally in order to boost performance to the limit, so that to pinpoint that limit. Strategies with performance of about 90% or above are regarded as viable. Incorporating various overhead factors such as transaction costs, broker's spread, slippage, etc. at this stage creates too much 'noise' with the end result of losing the sight of the forest behind the trees.)) In practice, I disable the 'Use Strategy Setup' option and fine-tune parameters the way I want.
Tested security: EURUSD . Tested TF: 3m
Simple MACD Strategy - CrossoverSimple MACD Crossover Strategy
No secret sauce here!
Script was requested by user
Decent Martingale Strategy [Pinescript v3]In my experimentation to add some sort of hedging to trades, I stumbled on the Martingale roulette betting strategy.
If it works in the casino, why not here?
The principle is simple:
If you lose a trade, immediately go the opposite direction and double your bet.
In this case, we're just applying a multiplier.
The strategy is a simple EMA crossover - defaulted to my favorite periods 8 and 62.
Enjoy :) I'll make a new one that's contained in a function, so you can simply implement it in your own strategy and have it monitor winning/losing trades automatically.
Cheers,
DasanC
13/21 EMA + Ichimoku Kinko Hyo StrategyThis trading strategy uses combination of the Ichimoku Kinko Hyo system with Fibonacci numbers based 13/21 exponential moving average ( EMA ) crossover, giving excellent results in trending assets !
EMA + Ichimoku Kinko Hyo StrategyThis trading strategy uses combination of the Ichimoku Kinko Hyo system with Fibonacci numbers based exponential moving average(EMA) and RSI 12/24 crossover, giving excellent results in trending stocks !
Help Requested - "Time-Slot" Delay for Crossover StrategyHello Tradingview Community,
I've been playing around with some various volume-based indicators, and recently have been experiencing a delay in the entries for my strategy for 2 minutes in this scenario. If the time is adjusted, it also is delayed 2 bars.
In this example, the "Short" position should enter when the blue line Crosses under the upper green line, and visa vera for the "Long" position. A simplified Pine Script is available below as well.
I have Googled this issue and attempted to modify the code with => criteria instead, but too no avail. Would appreciate any help or anyone who could point me in the right direction on this Time Delay Issue. Thanks!
SimpleMA smoothed crossover strategyExperimental simple Bot script for ETH/USD 1 hour chart. welcome to test on other pairs. put feedback in comments.
This is a crossbreed between SMA and HULLMA
SMA EMA HMA VWMA Crossover Strategy with MA Turning Point ExitsThis version adds HMA and VWMA, allowing you to backtest different crossover strategies for any combination, with the exits on the turning point of the faster MA. Due to order limitations this will only work on higher timeframes for some combinations, or on more recent exchanges with less history. You can edit the code though to add the timestamp to a recent date.
Moving Average Cross Strategy Simply define your fast and slow M then backtest the strategy.
*First script, work in progress. Will allow you to combine two TV indicators into one.
