WSTF RSI2 IndicatorThis is the Indicator replicating the basic RSI(2) created by Wilders.
Buy condition:
(RSI(2) crossed under 10) & (close > EMA(200)) & (EMA(5) > close)
Sell condition:
(RSI(2) crossed over 90) & (close < EMA(200)) & (EMA(5) < close)
You can play around with the script by adjusting the RSI Values, EMA values and crossover & crossunder threshold.
We will update the script with new features in the futures.
Please don't hesitate to share some Ideas or Feedbacks, we would be happy to improve the script for you !
Have fun !
WS TradingFactory
חפש סקריפטים עבור "Futures"
MM SIGMA STC+ADXThe Schaff Trend Cycle (STC) is a charting indicator that is commonly used to identify market trends and provide buy and sell signals to traders. Developed in 1999 by noted currency trader Doug Schaff, STC is a type of oscillator and is based on the assumption that, regardless of time frame, currency trends accelerate and decelerate in cyclical patterns.12
How STC Works
Many traders are familiar with the moving average convergence/divergence (MACD) charting tool, which is an indicator that is used to forecast price action and is notorious for lagging due to its slow responsive signal line . By contrast, STC’s signal line enables it to detect trends sooner. In fact, it typically identifies up and downtrends long before MACD indicator.
While STC is computed using the same exponential moving averages as MACD, it adds a novel cycle component to improve accuracy and reliability. While MACD is simply computed using a series of moving average, the cycle aspect of STC is based on time (e.g., number of days).
It should also be noted that, although STC was developed primarily for fast currency markets, it may be effectively employed across all markets, just like MACD. It can be applied to intraday charts, such as five minutes or one-hour charts, as well as daily, weekly, or monthly time frames.
Introduction to ADX
ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time. The default setting is 14 bars, although other time periods can be used.1 ADX can be used on any trading vehicle such as stocks, mutual funds, exchange-traded funds and futures.
ADX is plotted as a single line with values ranging from a low of zero to a high of 100. ADX is non-directional; it registers trend strength whether price is trending up or down.2 The indicator is usually plotted in the same window as the two directional movement indicator (DMI) lines, from which ADX is derived (shown below).Quantifying Trend Strength
ADX values help traders identify the strongest and most profitable trends to trade. The values are also important for distinguishing between trending and non-trending conditions. Many traders will use ADX readings above 25 to suggest that the trend is strong enough for trend-trading strategies. Conversely, when ADX is below 25, many will avoid trend-trading strategies.
ADX Value Trend Strength
0-25 Absent or Weak Trend
25-50 Strong Trend
50-75 Very Strong Trend
75-100 Extremely Strong Trend
Low ADX is usually a sign of accumulation or distribution. When ADX is below 25 for more than 30 bars, price enters range conditions, and price patterns are often easier to identify. Price then moves up and down between resistance and support to find selling and buying interest, respectively. From low ADX conditions, price will eventually break out into a trend. Below, the price moves from a low ADX price channel to an uptrend with strong ADX.
Added Buy/Sell alerts
ADX filters based on the threshold you put in the settings.
great for trend and trade confirmation
Cipher B divergencies for Crypto (Finandy support)Hello Traders!
In times of high volatility, it is important to follow a market-neutral strategy to protect your hard-earned assets. The simple script employs common buy/sell and/or divergencies signals from the VuManChu Cipher B indicator with fixed stop losses and takes profits. The signals are filtered by a local trend of a coin of interest and the global trend of Bitcoin. These trends-filtered signals demonstrated better performance on most of the back- and forward- tests for USDT cryptocurrency futures. The strategy is based on my real experience, it's a diamond I want to share with you.
In terms of visualization if the background is red and the price is below the yellow line then only a short position can be opened. Conversely, if the price is above the yellow line AND the background is green only a long position can be opened.
Inputs from VuManChu you can find on the top. Frankly, I do not know how they can help you to improve the performance of the strategy. My inputs of the script you can find in "Trend Settings" and "TP/SL Settings" at the bottom.
The checkbox "Only divergencies" lets to broadcast only more reliable buy/sell signals for a cost of rare deals.
The checkbox "Cancel all positions if price crosses local sma?" makes additional trailing stop loss. Usually, this function increases the win rate by "smoothing" the risk/reward ratio, as a usual stop loss does.
You can tune SL/TP based on backtesting.
To connect the script to Finandy just edit "name" and "secret" to connect your webhook (see the bottom of the script).
The rule of thumb for the strategy is "only divergencies" - ON, high reward/risk (TP/SL) ratio, 5 min timeframe on chart help with performance.
Finally, I am looking forward to feedback from you. If you have some cool features for my script in your mind, do not hesitate to leave them in the comments.
Good luck!
SGX Nifty Movement During Indian Market HoursSGX Nifty or Singapore Nifty is a derivative contract of the Nifty 50 index which is the benchmark index of NSE in India. SGX Nifty trades for 21 hours in a day while Nifty 50 trades only for 6 hours and 15 minutes. Traders in India miss out on a lot of price action which happens on the Singapore Nifty. This code which is originally inspired from @Gustavorubi has been modified to track SGX Nifty's movements outside Indian market hours. This will help intraday traders to identify support and resistance levels which are not seen on Nifty 50 futures.
This source code is inspired from GustavoRubi's code on FX Sessions.
Overnight inventoryThe indicator is dedicated for market / volume profile traders. It presents overnight inventory as a yellow number next to the indicator name on your charts. It does not plot anything.
If the number is positive then the inventory is net long and vice versa.
It is calibrated for US indicies, so it makes sense to use it only on US futures.
ADX and DI LevelsADX:
ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time. The default setting is 14 bars, although other time periods can be used.1
ADX can be used on any trading vehicle such as stocks, mutual funds, exchange-traded funds and futures.
DI (+/-):
The directional movement index (DMI) is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The indicator does this by comparing prior highs and lows and drawing two lines: a positive directional movement line (+DI) and a negative directional movement line (-DI). An optional third line, called the average directional index (ADX), can also be used to gauge the strength of the uptrend or downtrend.
This indicator has the length changed from 14 to 9 so you can have more updated price calculation
I also add the 4 levels I use for day trading; the 10, 20, 30, 40-50 are the levels I like to see the Di to break over.
A lot of traders use different levels, but these I have and found most useful. You can set alerts when any Di crosses over the 40 for true trend breakout!
Baekdoo multi OverSold OverBuy colored CandleHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo multi OverSold OverBuy colored candle will give you the idea of
multiple indicators in one shot with colored candle. Those indicators tell us that oversold or overbuy statistically. For the color, you can freely change
based on your comfort. For me, in Korea white candle has red color and black candle has blue color. So somewhat confusing for you. Anyway you can
easily modify color in the script. Please refer this line.
barcolor(open<close and result_pos == 4 ? color.new(color.red, 0) : open<close and result_pos == 3 ? color.new(color.red, 25) : open<close and result_pos == 2 ? color.new(color.red, 50) : open<close and result_pos == 1? color.new(color.red, 75) : na)
you can see I put different transparency at color.new() function with color code. Let me divide and conquer to explain for up candle
white candle and black candle.
1. White candle
with 4 oversold signal case with white candle tells us it is almost reached real bottom and try to rebound. In this case, I put vivid color (no transparency) on the candle. And all 4 signal case, I put text on "OverSold". It will not happen frequently. Then 2 approaches can be made.
(a) short term approach
You can buy on this time. and you set stop loss with open price. This is mainly aimed for technical rebound.
(b) long term approach
You can accumulate based on your budget with 5 times dividing. At that day might not be the very bottom but those period will most probably real bottom. You can put more weight on latter buy. Let say, 1 : 1.25 : 1.5 : 1.75 : 2.5. So for example, if you have $8,000 to investigate then, buy $1,000 and then $1,250, $1,500, accordingly. If price rebound then don't adding weight on accumulation but with the first amount that you buy(i.e., $1,000 with above example). With this approach, you will not have much stress and you will get profit well. If this is grand bottom case, then you can HODL this long term. What you needs is stick to the plan. :)
with 3 signals the color is less vivid, 2 signals is much less vivid, accordingly.
2. Black candle
The approaches are opposite to above. The signal will tells us for 4 overBuy signals, then vivid blue candle will be shown. Our strategy is distribute to sell. Please do not sell in one shot. As Newton said, "I can calculate the motions of the heavenly bodies, but not the madness of the people". Strong buy phase, we don't know how far will it go. But indicators will tell us it is quite overSold situation. So what I can suggest you is sell it 10% to 20% on resistance price, and put 50% of lower than certain support price. Remember, accumulation and distribution will always better than one shot trading if you want to survive long time on this war field.
Hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Baekdoo ANGNHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo ANGN indicator plot volume when large volume trading happened.
Assume that the large volume means higher than 1% of its marketcap amount. And adding ANGN (An-Na-Gan-Ni?, means "are you still there? in Korean")
line for upgrade version of On Balance Volume (OBV).
OBV is very good indicator but when it has long tail and short body, it can have wrong indication of buying or selling from big whales. So ANGN with large volume indicator combination would gives you better idea for the big brothers buying or selling tracker.
hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Baekdoo baselineHi forks,
I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo baseline will give you the idea of big whale's approximate average price. The idea behind this indicator is to combine volume and price. Here's one of the equation.
...
HT4=highest(volume, 250)
NewH4=valuewhen(volume>HT4 , (open+close+low+high+close)/5, 1)
result4=ema(NewH4, 20)
...
As you can see it will update when highest volume is updated by certain period of time. At that update will be the price of the close weighted price. and I put shift value of 20 (offset of input value) due to putting time theorem of Ichimoku Balance Table. 20 days means for 1 month of market day.
Why this idea work? It is mainly for the support / resistance. Resistance is made for lots of individual's buy. When the price goes down, they are tend to hold. As time goes by price getting high to their average price, then they are selling it with small profit or the same price or with small loss. So resistance is made by lots of individuals. And supports are made by small number of big whales. If we see the volume only, then we cannot differentiate easily for lots of individuals and small number of big whales. But lower price's large volume will most probably be the whale where higher price's large volume will most probably tons of individuals.
hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Customizable Gap FinderThis is a fully customizable gap finder. You can change the color of just about anything, on top of hiding filled/old gaps. This is so you can spot those tiny gaps on something such as futures. Be sure to play around with the settings.
RSI Classic Strategy (by Coinrule)One of the questions hobbyist traders more often ask is: what is the perfect trading indicator?
Every indicator is just a tool, so its efficiency is proportional to your ability to read its signals and translate them into an actionable trading strategy. The RSI is likely the most flexible and easy to use among the technical indicators.
This trading strategy tries to catch short-term swings on the coins of your choice with a simple yet profitable setup.
Buy when the RSI is lower than 30 (you can adjust it to 35 in times of steep uptrend).
Sell when the RSI is greater than 65 (the target may range between 60 and 75 depending on the volatility of the coin).
Note that the buy signal comes when the indicator crosses below 30 and not when it crosses above 30 as it happens on the built-in RSI strategy on Tradingview.
The present script overperforms the built-in strategy, even adding trading fees and using a lower amount of capital for each trade (30%). That means that the system can deliver higher net-profits with lower risk levels.
A typical example of market conditions where this strategy works perfectly is as follows.
The first initial breakout indicates that a new leg up in the trend may start. Bitcoin starts to trade within a range which you can identify when it reaches the point 3. That is the perfect time to start the rule because
- trading within a channel anticipates possible swings up and down
- the trend is on the upside, providing low downside risk in buying the dips.
This strategy works well with selected coins of your choice, and it's a great fit on leverage exchanges like Binance Futures.
If you prefer to run it across all available coins on the market, instead, you may choose an optimized version.
Normalized Volatility IndicatorFrom an article by Rajesh Kayakkal:
"Early bear phase signals can help you get out of the market before it turns down. This indicator tells you how.
There are many ways to identify the trend of a financial market, the most common being the 200-day exponential moving average (Ema). When price is trending down below the 200-day Ema, the market is believed to be in a bear phase. If the market is trending up above the 200-day Ema, it is considered to be in a bull phase.
Since every indicator fails at times, I wanted to find other indicators to confirm a trend. In my quest for another indicator to determine the trend for the financial markets, I found the Cboe Volatility Index (Vix) to be a good indicator of the market direction. The Vix is calculated from the weighted average of the implied volatilities of various options on the Standard & Poor’s 500 index futures.
J. Welles Wilder’s average true range can also give an indication of the financial market trends; that is, when the market is in a bull phase, the average true range narrows, and when it is in a bear phase, the average true range expands. The normalized volatility indicator (Nvi) is based on this behavior.
Normalized volatility indicator (Nvi)
Average true range (Atr) varies depending on time. But how do we determine the phase of the financial market with Atr? Perhaps some type of ratio could give us a clue. A ratio presents a relationship of a quantity with respect to another. I did some research based on a ratio of the 64-day average true range and the end-of-day value of equity indexes such as the Standard & Poor’s 500 (Spx). I selected the 64-day period since it is close to the average number of trading days in a quarter. The ratio of the 64-day average true range and closing price does discount seasonal variations in the average true range and gives a single number that can be used to compare volatility of an instrument across many decades. I call this ratio the normalized volatility indicator.
I found an interesting correlation between Nvi and cycles of major equity market indexes. The formula for the Nvi is:
Nvi = 64 - Day average true range/End-of-day price * 100
The NVI gave advanced signals before the cyclical bear phase of SPX commenced in October 2000 and was almost on the spot with the bull phase that began in 2003 and the current secular bear market cycle, which started in November 2007."
Includes options to show inverse NVI and change the ATR length and smoothing.
Equity Index Overnight FakeoutThis script highlights when price violates the highest high or lowest low within the user's selected lookback period, with the caveat that it occurs during the GLOBEX session. The script is designed to work exclusively with the trading hours for CME and CBOT Equity Index futures. I'm planning to make a more customizable version down the line.
My reasoning behind this very simple script is that the low liquidity and participation of the overnight session creates a tendency for moves at extremes to mean revert. Let me know what you think.
Relative Strength Index of EU and US Stock Index Trends quality//Relative Strength Index of European and US Stock Index Trends quality
//This indicator reveals the relative strength of European and US stock index futures.
//take Bull trend as an example , the current closed price>EMA20 value and the current closed price >20th previous bar closed price( deduction price),
//it's defined as a lower level bull trend .If the current price EMA20>EMA60, it's defined as a higher level bull trend .If the EMA20>EMA60>EMA120,it's defined as the highest level bull trend.
//You can choose to draw the curve with the deviation rate of the original major indexes to 20EMA, or draw the deviation rate with the average value (default value is 5 bars).
//In addition, a more technical method is added to analyze the deviation changes of the major indexes.The deviation rate changing velocity value, parameter tan (abbreviated by t) of 1, 2, 5, 10 is introduced.
//You can have the option of calculate the tan using average value of 5 candlesticks or original value.
//Taking tan1 as an example, it indicates how much the deviation rate between the current price and the previous candlestick has changed.
//The indicator of the index color and the description of the trend quality color can be switched off in option.
//In addition, this code color scheme is only suitable for black background (the code color needs to be changed by yourself if you use white background).
Turtle N NormalizedSimple script that calculates the normalized value of N. Rules taken from an online PDF containing the original Turtle system:
"The Turtles used a volatility-based constant percentage risk position sizing algorithm. The Turtles used a concept that Richard Dennis and Bill Eckhardt called N to represent the underlying volatility of a particular market.
N is simply the 20-day exponential moving average of the True Range, which is now more commonly known as the ATR. Conceptually, N represents the average range in price movement that a particular market makes in a single day, accounting for opening gaps. N was measured in the same points as the underlying contract.
The Turtles built positions in pieces which we called Units. Units were sized so that 1 N represented 1% of the account equity. Thus, a unit for a given market or commodity can be calculated using the following formula:
Unit = 1% of Account/(N x Dollars per Point)"
To normalize the Unit formula, this script instead takes the value of (close/N). Dollars per point = 1 for stocks and crypto, but will change depending on the contract specifications for individual futures.
"Since the Turtles used the Unit as the base measure for position size, and since those units were volatility risk adjusted, the Unit was a measure of both the risk of a position, and of the entire portfolio of positions."
When the value of N is high, volatility is low and you should be more risk-on.
When the value of N is low, volatility is high and you should be more risk-off.
Donchian Channel Strategy [for free bot]
I present to you a script for testing the Donchian channel breakout strategy for the Binance_exchange.
This strategy is trending, and is especially effective for trading cryptocurrency futures.
This strategy is very flexible, and you can configure virtually all possible parameters, moreover, separately for longs and separately for shorts.
In the script, you can configure the parameters of the channel for entry and exit, the exit method, enable or disable purchases / sales, specify take profit and stop loss, and more.
On the example of optimization, only 20% of the deposit is used. This is done for diversification, since there are 37 contracts on binance_futures (at the time of writing the script description). That is, by optimizing the parameters for different currencies, you can very well reduce risks.
Представляю Вам скрипт для тестирования стратегии пробоя канала Дончиана для биржи Бинанс.
Данная стратегия относится к трендовым, и особенно эффективная на торговли криптовалютных фьючерсов.
Данная стратегия очень гибкая, и можно настроить фактически все возможные параметры, при чем, отдельно для покупок и отдельно для продаж.
В скрипте можно настроить параметры канала на вход и на выход, метод выхода, разрешить или запретить покупки/проаджи, указать тейк-профит и стоп-лосс и другое.
На примере оптимизации используется всего 20% от депозита. Это сделано для диверсификации, так как на фьючерсах бинансе присутсвует 37 контрактов (на момент написания описания скрипта). Т.е., оптимизировав параметры под разные валюты, можно очень хорошо снизить риски.
Noldo Blockchain Cryptocurrency Indicator
Hello, this script has the same logic as Noldo CFTC COT Forex Indicator :
And Noldo CFTC COT Commodities Indicator :
*
Script briefly calculates the period length between two signals of Pivot Reversal Strategy when new signal arrives and allows us to see relative Blockchain data and price changes of Major Cryptocurrencies over that automatic length.
This saves us from the hassle and time wasting of searching for a reference point.
Usage
This script works only on all Bitcoin / U.S Dollar pairs and futures.
It only works on 1W graphics.
ICOT data are pulled via Quandl
NOTE :
Since blockchain data is very votalile, 7-day ema values are adjusted to take into account.
Regards.
[Bitcoin] Lastbattle's nose pickerI've been working on a top and bottom picker script over the past couple of weeks, based on RSI of multiple timeframe closing price. It've been a pretty good trading system that's tested over the last meteoric rise from 220~270 and back down to 230 right now, and I think it should be released to the community.
Sure, I'm not worried about this strategy not working anymore after it is being used by the majority. Everyone have a different view of the market, and this is more towards psychology. It'll likely to hold for as long as there are still humans trading Bitcoins. Bitcoin market is full of emotions, you'll never run out of it.
So why does it work?
If you take a look at the live charts offered by Bitcoinwisdom and Cryptowatch, they only offer 1, 3, 5, and 15 minute timeframe by default with no other option to switch.
Naturally more traders will look at these levels for oversold and overbought condition.
The same indicator does not work for the broader commodities market such as Gold and Silver.
How does it work?
As long as the RSI levels of 1, 3, 5, and 15 minute fulfills the oversold/overbought level, a signal will be given.
The overbought/oversold level gets compensated the higher volatility the market is in.
Note: **
-This is only for exit strategy. If you're on long, consider reducing or exiting your position when it displays a red. On the other hand if you're short, consider reducing or covering your shorts if it shows a green.
-It may give false signal in a trending market, use your trading experience and judgement to filter them out. (eg: uptrend usually have more than 1 legs AND after a long consolidation, RSI gets to oversold/overbought easily... the market will tend to test the support/resistance again.)
-This is tuned for the 15m interval, the script won't work beyond this. I use it for scalping futures. Feel free to change or remove this line 'plot(interval == 15 and '
-Even if it shows a signal, it may not be the true top/bottom. Sometimes there may be a weak diverged leg aka 'last fart', so that's one reason I dont use this for entry until more confirmation is given via other indicators.
** If your chart is zooming all the way down to 0, right click on the price at the right and select 'Scale price only'
Go ahead and try this out with willy, etc and see what works better :D
Credits:
-LazyBear for the volatility switcher script
We Are Witnessing A Historical Event With A Clear Outcome!!!"Full Disclosure: I came across this information from www.SentimenTrader.com
I have no financial affiliation…They provide incredible statistical facts on
The General Market, Currencies, and Futures. They offer a two week free trial.
I Highly Recommend.
The S&P 500 has gone 43 trading days without a 1% daily move, up or down.
which is the equivalent of two months and one day in trading days.
During this stretch, the S&P has gained more than 4%,
and it has notched a 52-week high recently as well.
Since 1952, there were nine other precedents. All of
these went 42 trading days without a 1% move, all of
them saw the S&P gain at least 4% during their streaks,
and all of them saw the S&P close at a 52-week highs.
***There was consistent weakness a week later, with only three
gainers, and all below +0.5%.
***After that, stocks did better, often continuing an Extraordinary move higher.
Charts can sometimes give us a better nuance than
numbers from a table, and from the charts we can see a
general pattern -
***if stocks held up well in the following
weeks, then they tended to do extremely well in the
months ahead.
***If stocks started to stumble after this two-
month period of calm, however, then the following months
tended to show a lot more volatility.
We already know we're seeing an exceptional market
environment at the moment, going against a large number
of precedents that argued for weakness here, instead of
the rally we've seen. If we continue to head higher in
spite of everything, these precedents would suggest that
we're in the midst of something that could be TRULY EXTRAORDINARY.
Risk On/Risk Off by Gary# Risk On/Risk Off Indicator (RORO)
## Overview
The Risk On/Risk Off (RORO) Indicator is a comprehensive market sentiment gauge that measures the balance between risk-seeking and risk-averse behavior across multiple asset classes. This indicator helps traders identify shifts in market sentiment and potential trend changes.
## How It Works
The RORO indicator aggregates normalized price movements (Z-scores) from eight major asset classes:
**Risk-On Assets (Bullish Sentiment):**
- Bitcoin Futures (BTC1!) - Cryptocurrency risk appetite
- WTI Crude Oil Futures (CL1!) - Energy sector strength
- AUD/JPY Exchange Rate - Carry trade indicator
- Emerging Markets ETF (EEM) - Global growth proxy
**Risk-Off Assets (Defensive Sentiment):**
- Gold Futures (GC1!) - Safe haven demand
- 10-Year Treasury Bonds (ZN1!) - Flight to quality
- US Dollar Index (DXY) - Reserve currency strength
- VIX Index - Market fear gauge (inverted)
## Key Features
- **Z-Score Normalization**: Standardizes different asset classes for fair comparison
- **Customizable Weights**: Adjust the influence of each asset class
- **Dynamic Coloring**: Green indicates rising risk appetite, red shows declining risk appetite
## Interpretation
- **Rising RORO (Green)**: Increasing risk appetite - favorable for equities, commodities, and growth assets
- **Falling RORO (Red)**: Decreasing risk appetite - rotation into safe havens
- **Divergences**: When RORO and price move in opposite directions, potential reversal signal
## Use Cases
1. **Market Regime Identification**: Determine current risk environment
2. **Divergence Trading**: Spot when price action contradicts underlying sentiment
3. **Portfolio Management**: Time defensive vs. aggressive positioning
4. **Confirmation Tool**: Validate breakouts and trend changes
## Settings
- **Lookback Period**: Controls Z-score calculation sensitivity (default: 50)
- **Asset Weights**: Fine-tune the contribution of each asset class
- **Color Scheme**: Customize rising/falling colors
## Best Practices
- Use on daily or higher timeframes for most reliable signals
- Combine with price action and volume analysis
- Watch for sustained moves rather than single-bar changes
---
*This indicator is designed for educational purposes. Always conduct your own analysis and risk management.*
CM MACD Ultimate MTF + SuperTrend Strategy [PickMyTrade]Overview
This strategy is built upon ChrisMoody's legendary "CM_MacD_Ult_MTF" indicator (one of the most popular MACD indicators on TradingView with over 1.7 million views). The PickMyTrade team has converted this powerful indicator into a fully automated trading strategy with an essential SuperTrend filter for improved trade quality.
What Makes This Different?
While ChrisMoody's original MACD indicator provides excellent momentum signals with multi-timeframe analysis and 4-color histogram visualization, our strategy adds a critical enhancement:
SuperTrend Trend Filter – We only take trades when both momentum AND trend agree:
Long trades: MACD crosses above Signal Line AND SuperTrend is bullish (green)
Short trades: MACD crosses below Signal Line AND SuperTrend is bearish (red)
This combination dramatically reduces false signals in choppy markets and keeps you on the right side of the trend.
How It Works
The MACD Calculation
Fast EMA (12) - Slow EMA (26) = MACD Line
Signal Line = 9-period SMA of MACD
Histogram = MACD - Signal (shows momentum strength)
4-Color Histogram Logic (ChrisMoody's Innovation)
The histogram changes color based on direction AND position:
Above Zero Line (Bullish Territory):
Aqua → Histogram rising (strengthening bullish momentum)
Blue → Histogram falling (weakening bullish momentum)
Below Zero Line (Bearish Territory):
Maroon → Histogram rising (weakening bearish momentum)
Red → Histogram falling (strengthening bearish momentum)
SuperTrend Filter
Green background = Bullish trend (SuperTrend below price)
Red background = Bearish trend (SuperTrend above price)
Uses ATR (Average True Range) to adapt to market volatility
Entry Signals
Long Entry (Green Background Flash):
MACD Line crosses above Signal Line
SuperTrend is bullish (green)
Optional: MACD above zero line for extra confirmation
Short Entry (Red Background Flash):
MACD Line crosses below Signal Line
SuperTrend is bearish (red)
Optional: MACD below zero line for extra confirmation
Exit Signals:
Opposite MACD/Signal crossover (configurable)
SuperTrend reversal (configurable)
Stop Loss / Take Profit levels (configurable)
Key Features
Multi-Timeframe Support – Analyze MACD on higher timeframes while trading on lower timeframes
Visual Crossover Dots – Clear markers when MACD crosses Signal Line
4-Color Histogram – Instant visual feedback on momentum strength and direction
SuperTrend Filter – Only trade with the trend, not against it
Flexible Exit Options – Exit on opposite signal, SuperTrend flip, or fixed targets
Risk Management Built-In – Customizable Stop Loss and Take Profit percentages
Prop Firm Friendly – Conservative approach with trend confirmation
Works on All Markets – Stocks, Forex, Crypto, Futures, Indices
No Repainting – All signals are confirmed on bar close
Recommended Settings
For Stocks & Indices:
MACD: 12/26/9 (default)
SuperTrend: ATR Period 10, Multiplier 3.0
Timeframes: 1H, 4H, Daily
Stop Loss: 2%
For Crypto:
MACD: 8/17/9 (faster settings for crypto volatility)
SuperTrend: ATR Period 10, Multiplier 2.0
Timeframes: 15M, 1H, 4H
Stop Loss: 3%
For Forex:
MACD: 12/26/9 (default)
SuperTrend: ATR Period 10, Multiplier 3.0
Timeframes: 4H, Daily
Stop Loss: 1.5%
Input Parameters
Timeframe Settings
Use Current Chart Resolution: Toggle ON for current timeframe, OFF for custom MTF
Custom Timeframe: Select higher timeframe for MACD calculation (e.g., 60 = 1 hour)
MACD Settings
Fast Length (12): Fast EMA period
Slow Length (26): Slow EMA period
Signal Length (9): Signal line smoothing period
Source: Price input (default: close)
SuperTrend Filter
Use SuperTrend Filter: Toggle trend filter ON/OFF
ATR Period (10): Period for ATR calculation
ATR Multiplier (3.0): Sensitivity (lower = more signals, higher = stronger trends)
Display Settings
Show MACD & Signal Line: Toggle line display
Show Dots at Crossovers: Visual markers at crosses
Show Histogram: Toggle histogram display
Change MACD Line Color: Dynamic coloring based on Signal Line cross
MACD Histogram 4 Colors: Enable ChrisMoody's color scheme
Strategy Settings
Allow Short Positions: Enable/disable short trades
Only Trade in Trend Direction: Extra filter (MACD > 0 for longs)
Exit on Opposite Signal: Close position on reverse crossover
Exit on SuperTrend Reversal: Close when trend changes
Risk Management
Use Stop Loss: Enable fixed stop loss
Stop Loss % (2.0): Percentage from entry
Use Take Profit: Enable fixed take profit
Take Profit % (4.0): Percentage from entry
Usage Tips
Entry Tips:
Wait for alignment – Don't force trades. Wait for both MACD cross AND SuperTrend confirmation
Higher timeframe confirmation – Check the trend on a higher timeframe before entering
Avoid low volatility – Best results during active trading sessions
Volume confirmation – Look for above-average volume on entry signals
Exit Tips:
Let winners run – Consider using trailing stops instead of fixed take profits
Cut losers quickly – Respect your stop loss levels
Watch for divergences – If price makes new highs/lows but MACD doesn't, consider exiting
Exit on SuperTrend flip – Strong signal that trend is changing
Optimization Tips:
Backtest thoroughly – Test on at least 6 months of data for your specific market
Adjust for volatility – Lower ATR multiplier in volatile markets, higher in stable markets
Match your timeframe – Shorter timeframes need faster MACD settings
Consider session times – Some markets perform better during specific sessions
Best Practices
DO:
Use on trending markets for best results
Combine with higher timeframe analysis
Test on demo account before going live
Adjust parameters for each market/timeframe
Use proper position sizing (1-2% risk per trade)
DON'T:
Trade during major news events without experience
Use on choppy, range-bound markets
Ignore the SuperTrend background color
Overtrade – quality over quantity
Risk more than you can afford to lose
Performance Notes
The strategy performs best when:
Markets are trending (avoid ranging markets)
Volatility is moderate to high
Volume is above average
Multiple timeframes align
The strategy may underperform when:
Markets are choppy or sideways
During major news events (whipsaw risk)
In extremely low volatility conditions
Against strong macro trends
Credits
Original MACD Indicator: ChrisMoody - "CM_MacD_Ult_MTF" (April 10, 2014)
Special thanks to ChrisMoody for creating one of the most comprehensive and visually intuitive MACD indicators on TradingView. His 4-color histogram and multi-timeframe features are preserved in this strategy.
Strategy Conversion & Enhancement: PickMyTrade Team
Added SuperTrend filter, automated trading logic, and risk management system.
About PickMyTrade
Strategy Automation:
Love this strategy? Automate it with real-time execution!
For Stock, Crypto, Futures & Options Trading:
Visit pickmytrade.io
Supported Brokers: Rithmic, TradeStation, TradeLocker, Interactive Brokers, ProjectX
For Tradovate Futures Trading:
Visit pickmytrade.trade
Transform your TradingView strategies into fully automated trading systems with:
Real-time order execution
Alert-based automation
Multiple broker connectivity
Risk management controls
Portfolio management
24/7 trading (crypto/forex)
Disclaimer
This strategy is for educational and informational purposes only.
Important Risk Disclosure:
Past performance does NOT guarantee future results
Trading involves substantial risk of loss
Never risk more than you can afford to lose
Always test strategies on paper/demo accounts first
This is not financial advice – consult a professional advisor
Results will vary based on market conditions and individual execution
Slippage, commissions, and spread costs will affect real-world performance
Recommended:
Start with small position sizes
Use proper risk management (stop losses)
Backtest thoroughly on your specific market
Paper trade for at least 30 days before live trading
Keep a trading journal to track performance
CME Bitcoin Weekend Gap (Global) @jerikooDescription:
The Problem: You are watching the wrong hours. Many traders assume CME Bitcoin futures follow standard stock market hours or open Monday morning. This is incorrect.
Stock Market: Opens Monday morning.
CME Bitcoin: Opens Sunday Evening (US Time).
If you are in Europe, this means the market actually opens at Midnight (00:00) Monday. If you are waiting for the "Monday Morning Open," you are late.
The Solution: True Gap Detection This indicator highlights the exact downtime of the CME Bitcoin Futures market to help you identify true liquidity gaps.
Why this script is different: Most gap scripts break when you change your chart's time zone (e.g., switching from UTC to New York). This script is Universal.
Hardcoded Exchange Time: It calculates logic based on "America/Chicago" (CME HQ) time, regardless of your local chart settings.
Manual Offset Fix: Some data feeds have a +/- 1 or 2-hour sync difference depending on the broker. This script includes a "Hour Shift" setting to manually align the box perfectly to your specific candles.
How to use:
Add to your chart.
Look for the Dark Green highlighted zone.
This zone represents the Weekend Gap (Friday Close to Sunday Open).
Troubleshooting: If the box starts 1-2 hours too early or too late, go to Settings and change the "Hour Shift" value (e.g., -1, +1) until it snaps perfectly to the Friday close candle.
Technical Details:
CME Close: Friday 16:00 CT
CME Open: Sunday 17:00 CT
Color: Dark Green (50% Transparency)
Step 3: Categories & Tags
Select these options in the right-hand menu of the publishing page.
Category: Trend Analysis OR Bitcoin
Tags: CME Bitcoin BTC Gap Futures Weekend
Step 4: Final Checklist Before Clicking "Publish"
Load the Code: Make sure the "Manual Fix" version of the code (the last one I gave you) is currently open in the Pine Editor.
Add to Chart: You must click "Add to Chart" so the script is visible on your screen before publishing.
Privacy: Select Public (so others can search for it) or Private (if you only want to share the link).
Visibility: Choose Open (so others can see the code) or Protected (if you want to hide the code, though Open is better for simple scripts like this).
