HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
Crossover
Moving Average Crossover Swing StrategyMoving Average Crossover Swing Strategy
**Overview:**
The basic concept of this strategy is to generate a signal when a faster/shorter length moving average crosses over (for Longs) or crosses under (for Shorts) a medium/longer length moving average. All of which are customizable. This strategy can work on any timeframe, however the daily is the timeframe used for the default settings and screenshots, as it was designed to be a multi-day swing strategy. Once a signal has been confirmed with a candle close, based on user options, the strategy will enter the trade on the open of the next candle.
The crossover strategy is nothing new to trading, but what can make this strategy unique and helpful, is the addition of further confirmation points, ATR based stop loss and take profit targets, optional early exit criteria, customizable to your needs and style, and just about everything visual can be toggled on/off. This strategy is based on a Trend (MA) indicator and a Momentum (MACD) indicator. While a Volume-based indicator is not shown here, one could consider using their favorite from that category to further compliment the signal idea.
It should be noted that depending on the time frame, direction(s) chosen, the signal options, confirmation options, and exit options selected, that a ticker may not produce more than 100 trades on the back test. Depending on your style and frequency, one could consider adjusting options and/or testing multiple tickers. It should also be noted that this strategy simply tests the underlying stock prices, not options contracts. And of course, testing this strategy against historical data does not assume that the same results will occur in future price action.
Shoutout given to Ripster's Clouds Indicator as pieces of that code were taken and modified to create both the Cloud visualization effects, and the Moving Average Pair Plots that are implemented in this strategy.
BASIC DEFAULTS
All can be changed as normal
Initial capital = 10,000
Order Sizing = 25% of equity (use the "Inputs" tab to modify this)
Pyramiding = 0
Commission = 0.65 USD per order
Price Verification = 1 tick
Slippage = 1 tick
RISK MANAGMENT
You will notice two different percentage options and ATR multipliers. This strategy will adjust position sizing by not exceeding either one of those % values based on the ATR (Average True Range) of the symbol and the multipliers selected, should the stock hit the stop loss price.
For Example, lets assume these values are true:
Account size = $10,000,
Max Risk = 1% of account size
Max Position Size = 25% of the account size
Stock Price = 23.45
ATR = 3.5
ATR Stop Loss Multiplier = 1.4
Then the formulas would be:
ACCT_SIZE * MaxRisk_% = 10000 * .01 = $100 (MaxCashRisk)
-----
MaxCashRisk / (ATR * ATR_SL_MULTIPLIER) = 100 / (3.5 * 1.4) = 20.4 Shares based on Max Cash Risk
-----
(ACCT_SIZE * MaxEquity_%) / STOCK_PRICE = (10000 * .25) / 23.45 = 106.61 Shares based on Max Equity Allocation
The minimum value of each of those options is then used, which in this case would be to purchase 20 shares so as not to exceed the max dollar risk should the stock reach the stop loss target. Likewise, if the ATR were to be much lower, say 0.48 cents, and all else the same, then the strategy would purchase the 106 shares based on Max Equity Allocation because the Max Cash Risk would require 149.25 shares.
MOVING AVERAGE OPTIONS
Select between and change the length & type of up to 5 pairs (10 total) of moving averages
The "Show Cloud-x" option will display a fill color between the "a" and "b" pairs
All moving averages lines can be toggled on/off in the "Style" tab, as well as adjusting their colors.
Visualization features do not affect calculations, meaning you could have all or nothing on the chart and the strategy will still produce results
SIGNAL CHOICES
Choose the fast/shorter length MA and the medium/longer length MA to determine the entry signal
CONFIRMATION OPTIONS
Both of these have customizable values and can be toggled on/off
A candle close over a slower/much longer length moving average
An additional cross-over (cross-under for Shorts) on the MACD indicator using default MACD values. While the MACD indicator is not necessary to have on the chart, it can help to add that for visualization. The calculations will perform whether the indicator is on the chart or not.
EARLY EXIT CRITERIA
Both can be toggled on/off with customizable values
MA Cross Exit will exit the trade early if the select moving averages cross-under (for longs) or cross-over (for shorts), indicating a potential reversal.
Max Bars in Trades will act as a last-resort exit by simply calculating the amount of full bars the trade has been open, and exiting on the opening of the next bar. For example: the default value is 8 bars, so after 8 full bars in the trade, if no other exit has been triggered (Stop Loss, Take Profit, or MA Cross(if enabled)), then the trade will exit at the opening of the 9th bar.
Finally, there is a table displaying the amount of trades taken for each side, and the amount & percent of both early exits. This table can be turned off in the "Style" tab
ADDITIONAL PLOTS
MACD (Moving Average Convergence/Divergence):
- The MACD is an optional confirmation indicator for this strategy.
- Plotting the indicator is not necessary for the strategy to work, but it can be helpful to visually see the status and position of the MACD if this feature is enabled in the strategy
- This helps to identify if there is also momentum behind the entry signal
Linear Cross Trading StrategyLinear Cross Trading Strategy
The Linear Cross trading strategy is a technical analysis strategy that uses linear regression to predict the future price of a stock. The strategy is based on the following principles:
The price of a stock tends to follow a linear trend over time.
The slope of the linear trend can be used to predict the future price of the stock.
The strategy enters a long position when the predicted price crosses above the current price, and exits the position when the predicted price crosses below the current price.
The Linear Cross trading strategy is implemented in the TradingView Pine script below. The script first calculates the linear regression of the stock price over a specified period of time. The script then plots the predicted price and the current price on the chart. The script also defines two signals:
Long signal: The long signal is triggered when the predicted price crosses above the current price.
Short signal: The short signal is triggered when the predicted price crosses below the current price.
The script enters a long position when the long signal is triggered and exits the position when the short signal is triggered.
Here is a more detailed explanation of the steps involved in the Linear Cross trading strategy:
Calculate the linear regression of the stock price over a specified period of time.
Plot the predicted price and the current price on the chart.
Define two signals: the long signal and the short signal.
Enter a long position when the long signal is triggered.
Exit the long position when the short signal is triggered.
The Linear Cross trading strategy is a simple and effective way to trade stocks. However, it is important to note that no trading strategy is guaranteed to be profitable. It is always important to do your own research and backtest the strategy before using it to trade real money.
Here are some additional things to keep in mind when using the Linear Cross trading strategy:
The length of the linear regression period is a key parameter that affects the performance of the strategy. A longer period will smooth out the noise in the price data, but it will also make the strategy less responsive to changes in the price.
The strategy is more likely to generate profitable trades when the stock price is trending. However, the strategy can also generate profitable trades in ranging markets.
The strategy is not immune to losses. It is important to use risk management techniques to protect your capital when using the strategy.
I hope this blog post helps you understand the Linear Cross trading strategy better. Booost and share with your friend, if you like.
Vortex Cross w/MA ConfirmationThis script is a trading strategy that combines the Vortex Indicator and a Moving Average (MA) to generate potential entry signals for long and short positions.
1. Vortex Indicator:
The Vortex Indicator consists of two lines: Vortex Positive (VIP) and Vortex Negative (VIM). It is designed to identify trend direction and measure the strength of a trend.
2. Moving Average (MA):
The script uses a chosen type of Moving Average (SMA, EMA, SMMA, WMA, or VWMA) to smooth the price data. The smoothed line is referred to as the "Smoothing Line."
3. Determine Long and Short Conditions:
The script looks for potential long entry signals when VIP crosses above VIM, highlighting each crossover on the chart, and the closing price is above the Smoothing Line. It searches for short entry signals when VIM crosses above VIP, with the closing price is below the Smoothing Line. When the long or short conditions are met, the strategy enters either a long or short position accordingly.
Potential Usage:
The strategy can be utilized in trending markets, where the Vortex Indicator helps identify trend direction and strength, and the Moving Average smooths the price data to filter out some noise. It aims to capture trends and ride them while avoiding false signals during choppy or sideways markets.
9:22 5 MIN 15 MIN BANKNIFTY9:22 5 MIN 15 MIN BANKNIFTY Strategy with Additional Filters
The 9:22 5 MIN 15 MIN BANKNIFTY Strategy with Additional Filters is a trend-following strategy designed for trading the BANKNIFTY instrument on a 5-minute chart. It aims to capture potential price movements by generating buy and sell signals based on moving average crossovers, breakout confirmations, and additional filters.
Key Features:
Fast MA Length: 9
Slow MA Length: 22
ATR Length: 14
ATR Filter: 0.5
Trailing Stop Percentage: 1.5%
Pullback Threshold: 0.5
Minimum Candle Body Percentage: 0.5
Use Breakout Confirmation: Enabled
Additional Filters:
Volume Threshold: Set a minimum volume requirement for trades.
Trend Filter: Optionally enable a trend filter based on a higher timeframe moving average.
Momentum Filter: Optionally enable a momentum filter using the RSI indicator.
Support/Resistance Filter: Optionally enable a filter based on predefined support and resistance levels.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the fast moving average crosses above the slow moving average, with additional confirmation from breakout and volume criteria, along with optional trend, momentum, and support/resistance filters.
Sell Signal: A sell signal is generated when the fast moving average crosses below the slow moving average, with similar confirmation and filtering criteria as the buy signal.
Exit Strategy:
The strategy employs a trailing stop-loss mechanism based on a percentage of the average entry price. The stop-loss is dynamically adjusted to protect profits while allowing for potential upside.
Please note that this strategy should be thoroughly backtested and evaluated in different market conditions before applying it to live trading. It is also recommended to adjust the parameters and filters according to individual preferences and risk tolerance.
Feel free to customise and adapt the description as needed to suit your preferences and the specific details of your strategy.
Solution Zigma - Fibonacci Impulse'Solution Zigma' is strategy for any securities because this strategy use EMA of Fibonacci Level and Plot Like candle easy for analysis trend impulse. This strategy used DMI(ADX) for filter sideway but not greatest indicator, Please use this strategy with Risk Management.
Classic Long Term Trend Following SystemThis is a classic long term trend following system.
The breakout period is 50 days instead of 20 and the moving average crossover are 40 and 120.
The moving averages are also exponential instead of simple.
The stoploss is 4 ATRs away from the price.
Recommendations:
Donchian Channels settings > 50 days
Moving Averages > 40 and 120, 80 and 140
Important to note:
My first strategy, DC Breakout System | This is simplicity at its finest, is best used on the crypto market and this one for stocks, commodities, currencies, etc. Those markets tend to trend a lot longer than crypto do.
Trend Following with Donchian Channels and MACDThis is a trend following system based on the Donchian Channels. Instead of using a simple moving average crossover, this system uses the MACD as the trendfilter:
Long positions:
* Price makes a new 50 day high,
* The MACD-line crosses above or is above the Signal-line.
* Both the MACD and the Signal-lines are above the zero-line.
Short positions:
* Price makes a new 50 day low,
* The MACD-line crosses below or is below the Signal-line.
* Both the MACD and the Signal-lines are below the zero-line.
Stoploss:
The initial and the trailing stoploss are 4 ATRs away from the price.
DC Breakout Strategy | This is simplicity at its finest.As the title already describes: this is a Donchian breakout strategy. This strategy, as of now, only goes long. It goes long when the price close makes a new high and the 8 day moving average is above the 32 day moving average. The strategy exits the trade if the price breaks the atr trailing stop of * 3 or the 8 day moving average crosses below the 32 day moving average.
This is simplicity at its finest.
Combo Backtest 123 Reversal & Stochastic Crossover This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This back testing strategy generates a long trade at the Open of the following
bar when the %K line crosses below the %D line and both are above the Overbought level.
It generates a short trade at the Open of the following bar when the %K line
crosses above the %D line and both values are below the Oversold level.
WARNING:
- For purpose educate only
- This script to change bars colors.
Hull Crossover Strategy no TP or SLWhat is it?
A simple yet effective strategy ran on the 30m chart.
This is a basic idea that can be expanded on using different indicator to either add signals or filter out certain bad signals!
The strategy consists of 1 fast moving average and 1 slow moving average.
Both of these moving averages are the Hull Moving Average
What is the Hull Moving Average?
The Hull Moving Average ( HMA ) is a directional trend indicator.
It captures the current market conditions and uses recent price action to determine if conditions are bullish or bearish relative to historical data.
The Hull is different from traditional trend indicators like the EMA and the SMA .
It is designed to reduce the lag often associated with other MAs by providing a faster signal on a smoother visual plane.
How it works?
When the fast HMA crosses over the slow HMA , we initiate a long signal, and
when the fast HMA crosses under the slow HMA , we initiate a short signal.
Conclusion
The power of simplicity is what makes this such a great core to use to build onto making something even better!
The results were optimised to suit the most common market conditions seen today.
******** Not financial advice! ********
Multi-X by HamidBoxHello to All, introducing Multi Types Crossover strategy,
simply the best way of trading with Crossover and Crossunder Strategy, How it Works???
I added 5 types of Moving Averages,
1: Simple Moving Average ( SMA )
2: Exponential Moving Average ( EMA )
3: Weighted Moving Average ( WMA )
4: Volume Weighted Moving Average ( VWMA )
5: Relative Moving Average (RMA)
With this indicator, you can do scalping, You can trade not only with similar types of Moving Average indicators but also with different types of Moving Average indicators.
what is mean? like: Normal Condition is:
( Simple Moving Average ) Crossover to ( Simple Moving Average ), SMA x SMA
( Exponential Moving Average ) Crossover to ( Exponential Moving Average ), EMA x EMA
But we can Crossover with:
( Exponential Moving Average ) Crossover to ( Simple Moving Average ), EMA x SMA
( Simple Moving Average ) Crossover to ( Weighted Moving Average ), SMA x WMA
( Weighted Moving Average ) Crossover to ( Weighted Moving Average ), WMA x WMA
( Simple Moving Average ) Crossover to (Relative Moving Average), WMA x RMA
and also I added Moving Average ZONE in this tool, What does it work???
The zone will tell us what type of direction the market has, if the market is above the zone, it's mean we have a Bullish Trend, and if the market is below the zone, it means the market has a Bearish Trend,
so if you want to play on the safe side, never trade when the market is in Bearish Trend, and if you want to play on aggressive mood, you can skip Moving Average Zone section.
EMA StrategyThis is a simple EMA cross strategy. This script was published by CaptJava. I added in the ability to check off a box and allow shorting, the ability to select a back testing date range and also the ability to enter the buy message and sell message in the properties. You then create the webhook alert and put only this in the message:
{{strategy.order.alert_message}}
That will pull in your alert message dynamically.
I may add more features to this over time.
RSI Cross [xaurr]This is simple but profitable rsi cross strategy, to find optimal values you can change rsi and ema periods.
Good Luck!
CRYPTO 3EMA Strategy with Take Profit & Stop Loss based on ATRSimple 3 EMA Strategy with plotted Take Profit and Stop Loss
Entry condition:
- Middle EMA cross above the Slow EMA
- Set take profit and stop loss exit conditions based on ATR Indicator
Exit condition:
- Fast EMA cross below the Middle EMA
Simple Moving Average CrossoverThis strategy uses two moving averages of 21 and 8 to generate buy or sell signal.
This is for purely intraday trades and best use in 15 min time frame
This strategy uses angle/slope of ma to filter out period of sideways movement and only generate signals when the stock starts trending in one direction
How to use this
1) Buy when the buy is generated
2) Sell when the sell is generated
Properties you can tweak to adjust this strategy to your needs are
1) angle -> Adjust this properties to define how much slope would be considered to generate the signals, higher the values lesser the trades generated.
2) atr period-> this is to adjust the atr period
3) ma source -> close is considered as source , you can use open or high or low
EMA Cross StrategyThis double EMA crossover strategy aims to illustrate a good strategy design.
It is currently the only published script that:
supports a proper date picker for the backtest period
is able to test in short and long mode only
Equal-Length EMA/SMA Crossover Momentum StrategyOverview:
This momentum and trend-following strategy captures the majority of any trending move, and works well on high timeframes.
It uses an equal-period EMA and SMA crossover to detect trend acceleration/deceleration, since an EMA places a greater weight and significance on the most recent data.
This version is optimized for longs, and designed to cut your losses quickly and let your winners run.
To reduce noise and optimize entries, we combined this with an overall trend bias for further confluence.
How it works:
Signals are determined by the crossover of an EMA and SMA of the same length, e.g. EMA-50 and SMA-50.
The overall trend bias is determined using a slower SMA golden/death cross, e.g. SMA-50 and SMA-100.
The signal is stronger when it occurs in confluence with the overall trend bias, e.g. when EMA-50 crosses over SMA-50, while above the SMA-100. This is analogous to only opening long positions in a bull market.
Signal description:
Trend Buy: EMA crosses above SMA, and overall trend bias is bullish. Buying is in confluence with the overall trend bias.
Risky Buy: EMA crosses above SMA, and overall trend bias is bearish. Buying is early, more risky, and not in confluence with the overall trend bias.
Late Buy: SMA crosses above BIAS_SLOW. This gives further confirmation of bullish trend, but signal comes later.
Sell: EMA crosses under SMA.
Strategy entry and exit conditions:
This version enters a Long when "TREND BUY" is signalled.
This version has Sell/Shorts disabled because UP ONLY.
Long entry: Strategy enters Long when EMA is above SMA, while overall trend bias is bullish.
Long exit: Close long when EMA crosses under SMA.
Combo Backtest 123 Reversal & MACD Crossover This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
MACD – Moving Average Convergence Divergence. The MACD is calculated
by subtracting a 26-day moving average of a security's price from a
12-day moving average of its price. The result is an indicator that
oscillates above and below zero. When the MACD is above zero, it means
the 12-day moving average is higher than the 26-day moving average.
This is bullish as it shows that current expectations (i.e., the 12-day
moving average) are more bullish than previous expectations (i.e., the
26-day average). This implies a bullish, or upward, shift in the supply/demand
lines. When the MACD falls below zero, it means that the 12-day moving average
is less than the 26-day moving average, implying a bearish shift in the
supply/demand lines.
A 9-day moving average of the MACD (not of the security's price) is usually
plotted on top of the MACD indicator. This line is referred to as the "signal"
line. The signal line anticipates the convergence of the two moving averages
(i.e., the movement of the MACD toward the zero line).
Let's consider the rational behind this technique. The MACD is the difference
between two moving averages of price. When the shorter-term moving average rises
above the longer-term moving average (i.e., the MACD rises above zero), it means
that investor expectations are becoming more bullish (i.e., there has been an
upward shift in the supply/demand lines). By plotting a 9-day moving average of
the MACD, we can see the changing of expectations (i.e., the shifting of the
supply/demand lines) as they occur.
WARNING:
- For purpose educate only
- This script to change bars colors.
Double EMA CROSS
Double EMA CROSS (DEC)
Useful for identifying and receiving alerts about uptrends and downtrends.
This script uses two Exponential Moving Averages (EMAs) to find price uptrends and downtrends.
An Exponential Moving Average ( EMA ) is a type of moving average that places a greater weight and significance on the most recent data points.
The script produces uptrend and downtrend signals based on crossovers and divergences between the two EMAs,
the user will be able to spot a trend change (when the EMAs crossover) and to determine the strength of the current trend (when the EMAs diverge).
It is also posible to get alerts for uptrends and downtrends on the web and mobile app with sound and pop-ups as well as via email.
The optimal time to enter and exit the market can be concluded from this trend changes.
The user can set their own EMAs, by default they are set to 25 and 75 periods for medium and long term respectively.
When the medium term EMA crosses below the long term EMA the asset is in a downtrend and the price will decline, and when the
medium term EMA crosses above the long term EMA the asset is in an uptrend and price will increase.
This scripts plots the following indicators and signals on the chart to help the user to identify trends:
1.- Medium and long term EMAs as lines overlaid on the price chart.
2.- Up green triangles above bars when the price is on an uptrend and down red triangles below bars when the price is on a downtrend.
3.- Arrows with text to indicate the start of an uptrend or downtrend.
The user can enable and disable the indicators and signals as well as set colors and shapes to their liking.
This script also lets the user create alerts for uptrends and downtrends. To create a new alert using this script follow this instructions:
1.- Once you added this script to your chart, go to the alerts panel (right on web or bottom tool bar on the mobile app) and add a new alert (alarm clock icon with a plus sign).
2.- A modal window will open. On the “Condition” dropdown menu select “DEC”.
3.- On the next dropdown menu (right below the “Condition” one) you can select.
4.- Lastly you can set all the normal alert options and create the alert.
AM_ZLWMA Crossover_xDear All,
Please find updated version of Zero lag WMA crossover. In addition to this added 20/50 EMA to get better results.
Settings:
ZLWMA = 8 identified by Blue line
Fast WMA = 21 identified by Red line
EMA Period 20/50
How to Trade:
Buy: Wait for positive crossover (Blue cross above Red) to happen trade can be taken there but to get better results post crossover once price move above EMA 20 then buy can be initiated.
Sell: Wait for negative crossover (Blue cross below Red) to happen trade can be taken there but to get better results post crossover once price move below EMA 20 then sell can be initiated.
Reason to wait for confirmation of price action above / Below moving average is most of the time it happens that even after crossover happens sometimes it was just a pull back and from there it could be a possibility for reversal. Once price action confirms moving above / below EMA20 then trade will be initiated.
Please comment and ask for any doubt
Moving Average Cross Strategy early Closing This is my example for the Moving Average Cross Strategy with early Closing. You can modify the strategy for your individual setup and market.
I tested the strategy in DAX30 and SP55
Cross impro test by Canundo Crossover Crossunder Tick valuesThis is a script where I tried to check the following things:
Even thought the tick of an asset is, for example 0.5, there are calculated prices, like SMA's that have even more decimals. Leading to crosses happening that for example happen at the same price. Consequently triggering totally useless in side markets. What happens if SMA values are restricted to the tick resolution? (Option works on it's own or with a combination of the others.)
What happens if I set my own tick value, like 0.8 instead of 0.5, what will be the effect for calculated values that are used for crossings? Will tick sizes improve the success rate? (This option will work only when the first option is active.)
Can success rate, especially for sideway markets be improved when adding a spread between MA's, so that it triggers less in sideway markets? (Option works on it's own or with a combination of the others.)
First of all, I had a hard time to round prices properly when it needs to be dynamic and working for different assets with different amounts of decimal values in the tick. The solution is that abs(floor(syminfo.mintick)) will give you the amount of decimals a tick has. It works for all ticks that are at least lower than 10. I'm not sure how huge ticks are out there. I did not implement this solution at the end since I found another way to test it.
Findings:
The first option, when activated, takes out half the trades and raises the percent profitability by 8% so there is some effect. However, all of the tested options have less advantage than I hoped for but are nevertheless something worthy for sideway markets. The first option just forces the MA's from the example to use the tick resolution.
See these two images. One when the first option is off, the second when it's active.
The lines are the MA's with adjusted values, the crosses are the places of the MA's when left as is.
Here a screenshot of the third option set to the value 2 on the 1 minute XBTUSD chart.
The advantage is that less trades trigger that have a low change in price and so less trading fees will happen.
The disadvantage is that all options can implement some delay for a crossing since the crossing will trigger once a slightly bigger move into the direction was taken.
This test environment was not meant to be profitable but to test the effects.
Maybe someone finds it interesting or wanted to test the same, so here you can save some work.
