TUE ADX/MACD Confluence V1.0The ADX and MACD confluence can be a powerful predictor in stock movements. This script will help you find those confluences in an easy to understand visual manner.
It includes Buy and Sell signals for detected confluences, and will show colored candles to help you determine when to exit a trade. When the candles turn to white that means the detected confluence is no longer in play and you may want to consider a trailing stop loss.
The Buy and Sell signals will display on the first occurrence of each confluence.
It's important to understand that both of these are lagging indicators, but with a careful attention to your stoploss you can easily generate a positive profit factor.
This code is provided open source and you're free to use it for any purpose other than resale.
Cerca negli script per "macd缩量上涨"
Predictive MACDThis is MACD indicators have display prediction of next 3 bar which if close price not change or price move following directions of momentum this indicators will show how price will move next 3 bar.
MACD + AveragesA classic MACD with average peak and dip lines. The lighter green and red horizontal lines are the average peak and dip of the entire span, respectively. The second, bolder of the two lines are the averages of the peaks and dips above and below the overall peak and dip averages. The filled in color is to help visualize these averages and possible trade setups.
Micro MACDMicro version of the MACD
Positioning
ATR - uses ATR to position indicator 1.5x above high of the Nth bar (needs improvement)
Absolute - allows you to specify the zero line position using price on the chart.
MACD Signal with RSI Indicating StrategyThis strategy looks for MACD signal crossover and RSI confirmation of oversold/overbought condition.
Tune to your crypto/stock for best results using the strategy and sent an alert. Currently set up to use 25% of equity at each buy signal and will sell 1/3 of position at each sell signal. Initial investment is $1000, but adjust as necessary.
Currently tuned to DOGEUSD on 30min chart.
If you like/use/profit, follow me or shoot me a donation. If you are looking for a script design, I can help.
[KL] BOLL + MACD Strategy v2 (published)This strategy will look for opportunities when price touches the lower Bollinger band, then enters Long when it anticipates a MACD crossover signal.
Setup: on 1-day chart interval
Exits when either (a) hitting trailing stop loss, or (b) meeting risk-to-reward, if defined by user.
Jim's MACDMACD Buy/Sell Strategy
Filters bearish crossovers above the 0 line and bullish crossovers below.
Uses 34 ema to further filter the trades and take only longs above and only shorts below.
Apply at least 2:1 risk to reward ratio to account for losing trades.
Trade at own risk!
MACD and EMA200 With SignalsThis is my first indicator. It PROVIDES BUY, SHORT, and FALSE Signals by taking the MACD and the 200EMA.
Elder EMA, ATR & MACD Indicator, 5X Time Frame & Divergences.This indicator is elaborated following the 3 window strategy described by Elder.
The fast, slow averages and MACD histogram are taken from a time frame 5 times higher than the active time frame and indicate bullish / bearish trends as well as divergences (bottom) of the hostogram with the price.
MACD with BGThis is a standard MACD indicator with Background colour and the option to draw the Background colour of the next higher timeframe.
MacD 200 Day Moving Average Signal Crossover StrategyThis works on most time frames, but I noticed the 4 hour for BTCUSD on coinbase seems to work well as an example. The strategy is pretty simple. I was inspired by a youtube video that said to backtest their strategy so I did. Most of the time it doesn't work but sometimes it's pretty good as in the case I showed.
Basically, you buy if the MacD crossers over the signal line and the histogram is below 0 and you are above the 200 day moving average. Do the opposite to sell!
Minkowski Distance Factor Adaptive Period MACDHi, this script comes from the idea that Ricardo Santos' Minkovski Distance Function is transferred to the period as a factor.
Minkowski distance is used as a percentage factor with the help of Relative Strength Index function.
Minkowski Distance Function Script :
And thus an adaptive MACD was created.
This script can give much better results in more optimized larger periods.
I leave the decision to determine the periods and weights.
I used the weights of 9,12,26 and periods created with multiplied by factor.
Regards.
ANN MACD Future Forecast (SPY 1D) NOTE : Deep learning was conducted in a narrow sample set for testing purposes. So this script is Experimental .
This system is based on the following article and is inspired by an external program:
hackernoon.com
None of the artificial neural networks in Tradingview work and are not based on completely correct logic. Unlike others in this system:
IMPORTANT NOTE: If the tangent activation function is used, the input data must also have tangent values (compared to the previous values of 1 bar).
Inputs were prepared according to this judgment.
1. The tangent function which is the activation function is written correctly. (The tangent function in the article: ActivationFunctionTanh (v) => (1 - exp (-2 * v)) / (1 + exp (-2 * v)))
2. Missing bias parts in the formulas were added.
3. The output function is taken from the next day (historical), so that the next bar can be predicted, which is the truth.
4.The forecast value of the next bar is subtracted from the current bar change and the market direction is determined.
5.When the future forecast and the current close are added together, the resulting data is called seed.
The seed carries data both from the present and from yesterday and from the future.
6.And this seed was subjected to the MACD method.
Thus, due to exponential averages, more importance will be given to recent developments and
The acceleration situations will show us the direction.
However, a short position should be taken for crossover and a long position for crossunder .
Because the predicted values work in reverse.Even though we use the same period (9,12,26) it is much faster!
7. There is no future code that can cause Repaint.
However, the color after closing should be checked.
The system is completely correct.
However, a very narrow sample was selected.
100 data: Tangent diffs ; volume change, bollinger bands values changes (Upband , Midband , Lowband) and LazyBear's Squeeze Momentum Indicator (SQZMOM_LB) change and the next bar data (historical) price change were put into the deep learning test.
IMPORTANT NOTE : The larger the sample set and the more effective dependent variables, the higher the hit rate of the deep learning test!
EDIT : This code is open source under the MIT License. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
Stay tuned. Best regards!
MACD BF 🚀Customised MACD strategy with dynamic stop losses based on ATR.
Signals are generated when the delta value becomes positive or negative (when it crosses the zero line)
Stop losses are printed on the chart in yellow and orange. They are based on recent average True Range to allow for volatility.
INSTRUCTIONS
Green background = long
Red background = short
Yellow dotted line = stop loss placement for long
Orange dotted line = stop loss placement for short
White background = you have been stopped out, wait patiently for the next signal
RSI & MACDJust combined the template RSI and MACD scripts from the pine library and it seems to work better in pine version 4 :) ty tradingview!
Koby's HMA MACDThis my custom MACD based on Hull Moving Average for our SNS group.
I will add other features later.
MACD LB MFIThis script includes MACD histogram plus MFI in four states
All backgrounds are compared to previous bar in +/- 10%
1. Green (green) + Volume + Range (++)
2. Fading (yellow) - Volume - Range (--)
3. False (gray) - Volume + Range (-+)
4. Crouching (red) + Volume - Range (+-)
Simple MACD Strategy - CrossoverSimple MACD Crossover Strategy
No secret sauce here!
Script was requested by user
