MACD 50x Leveraged Long Strategy Results with Real Equity Hello there.
I was looking for a way to simulate leveraged transactions in Tradingview and this script came out.
You can examine the equity graph without looking at the strategy results.
Thus, the facts will come to light.
Strategy parameters:
Adding margin: Forbidden or not specified. (Add Margin : No)
Position size: (for each trade) 1%
Stop-Loss: (2%)
Long: macd crossover
Exit: macd crossunder
Or ofc touching the stop-Loss value as predicted.
Warning: This strategy simulation is for Long direction only.
Regards.
Search in scripts for "macd"
MACD on VWAPA modified version of the traditional MACD
Uses VWAP to calculate MACD instead of the usual closing price.
MACD AND SMA COMBINATION StrategyHello Everyone This Strategy Base on MACD AND SMA COMBINATION
By Default 3 Percentage TP AND 1 Percentage Sl & quantity 500
By Default Backtesting Starting Time 1 Jan 2020 and end time 31 Dec 2020
You Can also change everything.
In future, I will Enhance this Strategy
if you have any suggestion Mention There Thank you so much
MACD+CCI Strategya simple strategy based on Joseph Nemeth MACD+CCI strategy
Reference reading: sites.google.com
MACD oscillator with EMA strategy 4H This is a simple, yet efficient strategy, which is made from a combination of an oscillator and a moving average.
Its setup for 4h candles with the current settings, however it can be adapted to other different timeframes.
It works nicely ,beating the buy and hold for both BTC and ETH over the last 3 years.
As well with some optimizations and modifications it can be adapted to futures market, indexes(NASDAQ,NIFTY etc), forex(GBPUSD), stocks and so on.
Components:
MACD
EMA
Time condition
Long/short option
For long/exit short we enter when we are above the ema, histogram is positive and current candle is higher than previous.
For short /exit long , when close below ema, histo negative and current candles smaller than previous
If you have any questions please let me know !
MACD Strategy (SL/TP Levels and Risk Management)Strategy based on MACD and EMA.
- Risk/Reward Ratio can be adjusted
- SL level can be slightly adjusted (Takes the last low/high as SL)
- Visual representation of SL and TP levels
- Risk management => 1 % max loss on a trade
MACD TRADING SYSTEMThis is a conservative Trend Continuation Trading System.
Uses a Hull Moving Average to determine general trend direction
Uses MACD to initiate Trade entries
Uses a variant of Chaikin Money Flow for volume confirmation
Also uses the Average True Range (ATR) to determine take profit and stoploss.
Stoploss becomes trailing when take profit target has been hit.
I built it mainly for myself to use.
Wanted an objective trading system to take all the emotions out of my trading.
MACD on OBVCalculates trend of OBV with help of MACD indicator. Gives a good idea of the general trend. To be used with other confirmations.
MACD 4H StrategyThis strategy is a basic example of using MACD AND the instrument must be found an appropriate timeframe (4H recommended) before being tested with.
MACD Indikator v1If you make a loss, I am not responsible for it. Please use this with caution.
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MACD - Strategy
Considering cross the lines and Top / Buttoms.
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Do realize that the indicator is not 100% accurate and please use this with caution. Please read the disclaimer below before using this indicator or the services (Telegram/ Twitter , Trading View etc.) services associated with this indicator:
Disclaimer:
No Investment Advice Provided
Any opinions, chats, messages, news, research, analyses, prices, or other information contained here are provided as general information for educational and entertainment purposes only and do not constitute investment advice. My bullshit statements should not be relied upon as a substitute for an extensive independent market research before making your actual trading decisions. Opinions, market data, recommendations or any other content is subject to change at any time without notice. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
I do not recommend the use of technical analysis or any analysis as a sole means of trading decisions. I do not recommend making hurried trading decisions. I have no clue about PAST PERFORMANCE or any INDICATIVE FUTURE RESULTS.
THE script and its associated services ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE, WEBSITE, SCRIPT, SIGNALS.
MACD Strategy by SedkurThis gives to you buy-sell signal with MACD histogram value.
Use "Fast and Slow length" and "Buy or Sell Histogram Value" inputs to take less or more signal.
MACDEMAAutomatic Strategy for Litecoin on 5-Minute Chart in BingX Perpetual Futures. Combines MACD and 10- & 55-Period EMA. ✅
Zero Lag MACD + Kijun-sen + EOM StrategyThis strategy offers a robust approach to identifying high-probability trading opportunities in the fast-paced cryptocurrency markets, particularly on lower timeframes (e.g., 5-minute). It leverages the synergistic power of three distinct indicators to confirm entries, ensuring a disciplined approach to risk management.
Key Components:
Zero Lag MACD Enhanced Version 1.2: This core momentum indicator is used to identify precise shifts in trend and momentum, offering reduced lag compared to traditional MACD. Entry signals are filtered based on the histogram's position (below for buys, above for sells) to enhance signal reliability.
Kijun-sen (Ichimoku Cloud): Acting as a dynamic support/resistance and trend filter, the Kijun-sen line confirms the prevailing market direction. Long entries are confirmed when price is above Kijun-sen, and short entries when price is below.
Ease of Movement (EoM): This volume-based oscillator provides crucial confirmation of price movements by measuring the ease with which price changes. Positive EoM confirms buying pressure, while negative confirms selling pressure, adding an essential layer of validation to trade setups.
How it Works:
The strategy generates entry signals only when all three indicators align simultaneously:
For Long Entries: A Zero Lag MACD buy signal (crossover below histogram) must coincide with price trading above the Kijun-sen, and the Ease of Movement indicator being above its zero line.
For Short Entries: A Zero Lag MACD sell signal (crossover above histogram) must coincide with price trading below the Kijun-sen, and the Ease of Movement indicator being below its zero line.
Entries are executed at the open of the candle immediately following the signal confirmation.
Risk Management:
Disciplined risk management is paramount to this strategy:
Dynamic Stop-Loss: An Average True Range (ATR) based stop-loss is implemented, set at 2.5 times the current ATR. This adapts the stop-loss distance to market volatility, ensuring sensible risk sizing.
Fixed Take-Profit: A consistent Risk-to-Reward (R:R) ratio of 1:1.2 is applied for all trades, promoting stable profit realization.
Customization & Optimization:
The strategy is built with fully customizable input parameters for each indicator (MACD lengths, Kijun-sen period, ATR period, ATR multiplier, and Risk-to-Reward ratio). This allows users to fine-tune the strategy for different assets, timeframes, and market conditions, facilitating robust backtesting and optimization.
Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational and informational purposes only. Always use proper risk management and conduct your own due diligence.
Arpeet MACDOverview
This strategy is based on the zero-lag version of the MACD (Moving Average Convergence Divergence) indicator, which captures short-term trends by quickly responding to price changes, enabling high-frequency trading. The strategy uses two moving averages with different periods (fast and slow lines) to construct the MACD indicator and introduces a zero-lag algorithm to eliminate the delay between the indicator and the price, improving the timeliness of signals. Additionally, the crossover of the signal line and the MACD line is used as buy and sell signals, and alerts are set up to help traders seize trading opportunities in a timely manner.
Strategy Principle
Calculate the EMA (Exponential Moving Average) or SMA (Simple Moving Average) of the fast line (default 12 periods) and slow line (default 26 periods).
Use the zero-lag algorithm to double-smooth the fast and slow lines, eliminating the delay between the indicator and the price.
The MACD line is formed by the difference between the zero-lag fast line and the zero-lag slow line.
The signal line is formed by the EMA (default 9 periods) or SMA of the MACD line.
The MACD histogram is formed by the difference between the MACD line and the signal line, with blue representing positive values and red representing negative values.
When the MACD line crosses the signal line from below and the crossover point is below the zero axis, a buy signal (blue dot) is generated.
When the MACD line crosses the signal line from above and the crossover point is above the zero axis, a sell signal (red dot) is generated.
The strategy automatically places orders based on the buy and sell signals and triggers corresponding alerts.
Advantage Analysis
The zero-lag algorithm effectively eliminates the delay between the indicator and the price, improving the timeliness and accuracy of signals.
The design of dual moving averages can better capture market trends and adapt to different market environments.
The MACD histogram intuitively reflects the comparison of bullish and bearish forces, assisting in trading decisions.
The automatic order placement and alert functions make it convenient for traders to seize trading opportunities in a timely manner, improving trading efficiency.
Risk Analysis
In volatile markets, frequent crossover signals may lead to overtrading and losses.
Improper parameter settings may cause signal distortion and affect strategy performance.
The strategy relies on historical data for calculations and has poor adaptability to sudden events and black swan events.
Optimization Direction
Introduce trend confirmation indicators, such as ADX, to filter out false signals in volatile markets.
Optimize parameters to find the best combination of fast and slow line periods and signal line periods, improving strategy stability.
Combine other technical indicators or fundamental factors to construct a multi-factor model, improving risk-adjusted returns of the strategy.
Introduce stop-loss and take-profit mechanisms to control single-trade risk.
Summary
The MACD Dual Crossover Zero Lag Trading Strategy achieves high-frequency trading by quickly responding to price changes and capturing short-term trends. The zero-lag algorithm and dual moving average design improve the timeliness and accuracy of signals. The strategy has certain advantages, such as intuitive signals and convenient operation, but also faces risks such as overtrading and parameter sensitivity. In the future, the strategy can be optimized by introducing trend confirmation indicators, parameter optimization, multi-factor models, etc., to improve the robustness and profitability of the strategy.
Combo Backtest 123 Reversal & MACD Crossover with Trail and Stop
This is a modification of @HPotter "Combo Backtest 123 Reversal & MACD Crossover" script.
I've added a trail stop, basic leverage simulation and stop loss.
Below is HPotter's explanation of the script principals.
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.
3. AutoBots Trading - BACKTEST: MACDBACKTEST: Moving Average Convergence Divergence - MACD
1. Description: a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period Exponential Moving Average ( EMA ) from the 12-period EMA .
2. Strategy rules: defined based on the component, signal count, entry prices, open order count, position check, position averages, conditional closes and close signals.
3. Risk management: system was defined based on the choice of only long, only short or both sides. Defining the choice of take profit, stop loss and trailing stos (no repaint).
4. Symbol: PETR4 (only)
5. Suggested Timeframe: 2H
6. Parameter for optimization: 12, 8, 9, side: long, tp: 3%, sl: 1%, ts: na
7. Walk forward simulation
7.1. In sample period: jan/2018-jan/2020
7.2. Out of sample period: jan/2020 - ago/2020
** For purpose educate only
Trading MACD with Relative Vigor indexThis script can be added to the chart and gives Long and close signals on the chart using MACD and RVI indicators.
Riz Coloured MACDThis is a souped up common or garden MACD . The Histogram is coloured giving a clear visual representation of where we are UpTicking or DownTicking on the Histogram to help support trading decisions.
When colour changes from pink to green market is bullish , and visa versa.
Very useful as a supporting indicator to confirm other strategies, or even as a standalone strategy to some extent.
Alerts are enabled by converting script from a Strategy to a Study, see comments in code.
MACD Optimizer Pro [Kioseff Trading]Massive update! This script now includes 12 different moving averages and 30+ built-in technical indicators to enhance your trading strategy optimization! (:
This script (MACD Optimizer Pro) allows the user to optimize and test hundreds of MACD strategies, simultaneously, in under 40 seconds. Of course, theoretically, an unlimited number of trading strategies can be tested with the MACD Optimizer Pro. After the optimization period - the MACD Optimizer Pro will show the most profitable MACD strategy or, should you choose, the highest win-rate MACD strategy or the most-efficient MACD strategy!
Optimization results can be backtested and verified using the native TradingView backtester - which is included in the MACD Optimizer Pro - and made easy to use! This feature makes settings alerts a simple practice!
Features
Test hundreds of MACD strategies, simultaneously, in under 40 seconds.
Optimize long MACD strategies and short MACD strategies.
12 different built-in moving averages included to improve your MACD strategy.
30+ built-in technical indicators to improve your MACD strategy.
Runs as a strategy script - profit factor, PnL , win-rate, number of trades, max drawdown, equity curve and other pertinent statistics shown.
Alerts
Optimize any MACD setting
Profit targets, trailing stops, fixed stop losses, and a binary MACD strategy can all be tested.
Strategies can be optimized for highest win rate, highest net profit, most efficient profit.
Limit orders can be simulated.
External indicators can be used for optimization i.e. your own, custom-built indicator, an indicator from your favorite author, or almost any publicly available
TradingView indicator.
Date range for optimization and backtesting are configurable.
Explanation
The image above shows a list of configurations for the optimizer. You can
You can test hundreds of different MACD settings in under 40 seconds on any timeframe, asset, etc.
The image above shows additional settings to filter the outcome of your optimization testing. Additionally, you can test an unlimited number of profit targets and stop losses!
You can add one of several built-in TradingView indicators to filter trade entries.
The image above shows all built-in moving averages and TradingView indicators that can be incorporated into your MACD strategy.
Additionally, you can add your own, custom indicator to the optimization test, your favorite indicator by your favorite author or almost any publicly available indicator on TradingView.
The image above shows the settings section in which you can implement this feature.
The image above shows an example of the custom indicator feature! In this instance, I am using the public indicator titled "Self-Optimizing" RSI and requiring it to measure below a level prior to entry! Almost any custom indicator, your favorite indicator, etc. is compatible with this feature!
The MACD Optimizer has improved user friendliness over previous versions. The optimizer can be as simple or complex as you'd like - capable of handling both "easy" and "difficult" tasks at your discretion.
Additionally, you can configure the optimizer to prioritize MACD strategies that earn profit most efficiently!
The image above shows this feature in action.
You can also configure the optimizer to prioritize MACD strategies that achieve the highest win rate!
The image above shows this feature in action.
Instructions
The instructions below show a rudimentary approach to using the optimizer.
1. Build your strategy in the settings.
You should also disable the "Run a Backtest" feature to improve load times during optimization.
The image above shows my custom strategy settings.
Now that you've got some data on your chart - you should try "Freezing" the "Smoothing" setting for MACD . When doing this, the optimizer will test hundreds of MACD settings with a fixed "Smoothing" setting. Try using the best "Smoothing" setting you were able to find for your initial testing.
2. Take the best "Smoothing" setting and test various MACD and Signal Lengths.
The image above shows me configuring the MACD Optimizer to test different MACD line lengths and Signal line lengths with a fixed "smoothing" setting.
From the results, we can see that there are better MACD settings than what was shown in our initial test!
With this information we can execute a TradingView backtest.
3. Execute a TradingView Backtest.
You must enable the "Run a Backtest" feature to perform a TradingView backtest. Additionally, it's advised to enable the "STOP OPTIMIZATION" feature when performing a TradingView backtest. Enabling this feature will improve load times for the backtest to only a few seconds (since the optimizer won't look for the best setting when this feature is enabled).
The image above shows completion of the process!
From here, you can perform further testing, set alerts, etc.
Backtest Settings Shown
Initial Capital: The initial capital used for the shown backtests is $3,500 USD. Set the initial capital to replicate your true starting capital (: PnL for the MACD strategies (listed in table) is calculated using a starting capital of $10,000 USD.
Slippage: The slippage settings for the displayed backtest was set to 2 ticks.
Commission: Commission was adjusted to 0.1%.
Verify Price for Limit Orders was set to 2 ticks.
Optimization
Trading system optimization is immensely advantageous when executed with prudence.
Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail.
Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
Thanks for checking this out!