Efficient PriceTrading The Movements That Matters
Inspired by the Price Volume Trend indicator the Efficient Price aim to create a better version of the price containing only the information a trend trader must need.
Calculation
This indicator use the Efficiency Ratio as a smoothing constant, it is calculated as follow :
ER = abs(change(close,length))/sum(abs(change(close)),length)
The goal of the Efficiency Ratio is to show if the market is trending or ranging.If ER is high then the market is considered to be trending, if ER is low then the market is considered to be ranging.
Then the Efficient Price is calculated :
EP = cum(change(close)*ER)
When the price is trending, the indicator will show movements of the price with unchanged volatility, but if the price is not trending then the indicator will flatten those movements.Think of this indicator as both a filter and a compressor and the Efficient Price as some kind of threshold.
The Efficient Price As Input For Indicators/Strategies
If the indicator show the movement of the trending price, it can be interesting to use it as input in order to reduce the number of false signals in a strategy.
We will test 2 MACD strategy provided by tradingview, one using the closing price (In Red) and one with the efficient price (In White) as input
with both the following parameters :
fastLength = 50
slowlength = 200
MACDLength = 20
length = 50
Where length is the parameter of the Efficient Price.A spread of 2 pips is used.
Without Efficient Price : 26.88% of profitability, 69 pips of profit.
With Efficient Price : 38.46% of profitability, 336 pips of profit.
The difference of profitability is of 11.58%, the strategy with the Efficient Price made few trades and its equity have a lower variance than the equity of the MACD strategy using closing price.
Smoothed Version
It is possible to smooth the indicator output by using the following code :
EP = cum(change(close,length)*ER)
Hope you enjoy
For any questions/demands feel free to pm me, i would be happy to help you
"the strat"に関するスクリプトを検索
DARVAS BOX MTFMULTIPLE TIME FRAME VERSION OF DARVAS BOX:
You can view different time frame values of Darvas Box levels on any chart
What Is the Darvas Box?
The Darvas Box strategy was developed by Nicholas Darvas. Aside from being a well known dancer, he began trading stock in the 1950s. Based on his success in trading, he was approached to write a book on his strategy. The book, “How I Made $2,000,000 in the Stock Market,” outlines his rather simple approach … simple once you understand the basic concepts and rationale of the strategy.
Darvas Box is an indicator that simply draws lines along highs and lows, and then adjusts them as new highs and lows form. The indicator is available on many trading platforms, such as Thinkorswim. Traders may wish to draw their own boxes though, based on recent highs and lows; Darvas was able to do so (based on telegram quotes) more than half a century ago.
Darvas Box Rules
I shall not follow advisory services.
I shall be cautious of broker advice.
I shall ignore Wall Street sayings or truisms, no matter how ancient or revered.
I shall only trade stocks on major exchanges with adequate volume .
I shall not listen to (or trade off of) rumors or tips, no matter how well researched they may sound.
I will use a sound strategy instead of gamble…I must study this strategy (originally this approach was fundamental analysis , which didn’t work for him, so he developed his Darvas Box trading method).
I will hold one position for longer, as opposed to juggling a bunch of positions for a short period of time.
Darvas looked for increasing volume when selecting stocks to trade; this alerted him to stocks that were being accumulated and were likely to see strong trends.
Darvas believed in buying stocks that presented an upper box limit breakout, but also had an upward Earnings trend. This was especially the case when the major indexes had experienced a decline.
When an upper box limit is broken, buy. From his book, the entry price was usually about 1 to 2% above the upper box limit.
If you enter a trade and the price proceeds to drop out of the new box, and back into the old box, exit the trade.
Entry and stop loss orders should be set in advance, so trades aren’t missed and risk is controlled.
Place, and trail the stop loss order to below the low of the most recent box. This initial stop loss was pretty tight, because Darvas assumed when a price broke out of an old box, it was entering a new box. Therefore, the stop was placed just below the high of old box which was just broken (low of new box).
Record trades, including reasons why you entered and exited.
General conditions of the market must favor buying. Don’t buy stocks when the major indexes are in a bear market, or when volume is flat or declining.
If you are stopped out, but the price moves back into the higher box again providing another buy signal, buy again, using the same stop loss location.
Since the stop is being trailed up, more funds can be added on each consecutive breakout.
The Bottom Line
Nicholas Darvas was a dancer, but committed a great deal of time to developing and then mastering his stock trading method. It’s a trend following method based on breakouts to higher boxes. Risk is controlled by placing a stop below new higher boxes as they form. During choppy conditions the strategy won’t be profitable. This is why Darvas also attempted to only trade stocks with increasing volume and rising Earnings . Trading his method requires a lot of discipline, but can produce big profits when strong trends develop.
source: traderhq.com
Creator: Nicholas DARVAS
Here's the link to a complete list of all my indicators:
tr.tradingview.com
Şimdiye kadar paylaştığım indikatörlerin tam listesi için: tr.tradingview.com
DARVAS BOX by KIVANÇ fr3762What Is the Darvas Box?
The Darvas Box strategy was developed by Nicholas Darvas. Aside from being a well known dancer, he began trading stock in the 1950s. Based on his success in trading, he was approached to write a book on his strategy. The book, “How I Made $2,000,000 in the Stock Market,” outlines his rather simple approach … simple once you understand the basic concepts and rationale of the strategy.
Darvas Box is an indicator that simply draws lines along highs and lows, and then adjusts them as new highs and lows form. The indicator is available on many trading platforms, such as Thinkorswim. Traders may wish to draw their own boxes though, based on recent highs and lows; Darvas was able to do so (based on telegram quotes) more than half a century ago.
Darvas Box Rules
I shall not follow advisory services.
I shall be cautious of broker advice.
I shall ignore Wall Street sayings or truisms, no matter how ancient or revered.
I shall only trade stocks on major exchanges with adequate volume .
I shall not listen to (or trade off of) rumors or tips, no matter how well researched they may sound.
I will use a sound strategy instead of gamble…I must study this strategy (originally this approach was fundamental analysis , which didn’t work for him, so he developed his Darvas Box trading method).
I will hold one position for longer, as opposed to juggling a bunch of positions for a short period of time.
Darvas looked for increasing volume when selecting stocks to trade; this alerted him to stocks that were being accumulated and were likely to see strong trends.
Darvas believed in buying stocks that presented an upper box limit breakout, but also had an upward Earnings trend. This was especially the case when the major indexes had experienced a decline.
When an upper box limit is broken, buy. From his book, the entry price was usually about 1 to 2% above the upper box limit.
If you enter a trade and the price proceeds to drop out of the new box, and back into the old box, exit the trade.
Entry and stop loss orders should be set in advance, so trades aren’t missed and risk is controlled.
Place, and trail the stop loss order to below the low of the most recent box. This initial stop loss was pretty tight, because Darvas assumed when a price broke out of an old box, it was entering a new box. Therefore, the stop was placed just below the high of old box which was just broken (low of new box).
Record trades, including reasons why you entered and exited.
General conditions of the market must favor buying. Don’t buy stocks when the major indexes are in a bear market, or when volume is flat or declining.
If you are stopped out, but the price moves back into the higher box again providing another buy signal, buy again, using the same stop loss location.
Since the stop is being trailed up, more funds can be added on each consecutive breakout.
The Bottom Line
Nicholas Darvas was a dancer, but committed a great deal of time to developing and then mastering his stock trading method. It’s a trend following method based on breakouts to higher boxes. Risk is controlled by placing a stop below new higher boxes as they form. During choppy conditions the strategy won’t be profitable. This is why Darvas also attempted to only trade stocks with increasing volume and rising Earnings . Trading his method requires a lot of discipline, but can produce big profits when strong trends develop.
source: traderhq.com
Creator: Nicholas DARVAS
MASelect Crossover AlertsStudy for alerts, to be used with the MASelect Crossover Strat.
A simple crossover/crossunder strategy for beginners with options for 5 types of Moving Average. Use the strategy script to backtest and find your preferred Moving Average combinations and lengths.
Moving Average Cross and/or Bbands botHello TradingView and world!
This is one of our latest concepts for an actual bot builder. This script comes with a bunch of features that we're hoping will alleviate a lot of the stress and confusion around using and building strategies here on TV. Especially if the end-goal is to automate the strategies using Autoview.
This is a combination of 2 strategies, and gives you full control of each component within the script.
The 2 strategies are:
2 Moving Averages == if close is greater than moving average and moving average 1 is greater than moving average 2
Bolling Bands == if close is less than lower or greater than upper
Features / Settings included :
- Ability to change settings from a commodity market (default) to an altcoin or forex market.
- Backtest time period selector component
- Heiken Ashi Candles on/off
- Moving Average Strategy on/off
- Bollinger Bands Strategy on/off
- Both Moving Average settings can be adjusted
- Bollinger Bands length and multiplier can be adjusted.
- Pyramiding Greater Than, Equal To, or Less Than
- Trailing Stop with the ability to set a price in which the Trailing Stop activate
- Take Profit on/off and editable
- Stop Loss on/off and editable
- Margin Call on/off dependent on Leverage which is editable
- If pyramiding is used, the strategy will calculate and display your average on the chart
- Profit and Loss visuals added to the chart
You can watch a video here on how all the settings can be used and work together.
www.youtube.com
You can learn more about Autoview here:
autoview.with.pink
Get your invite and join us in slack here:
slack.with.pink
Heiken Ashi + Ichimoku Kinko Hyo StrategyHeikin-Ashi:
Instead of using the open-high-low-close (OHLC) bars like standard candlestick charts, it uses a modified formula. Out of which only following two are used in this strategy.
High = Max (High,Open,Close)
Low = Min (Low,Open, Close)
Ichimoku Kinko Hyo:
The Ichimoku Kinko Hyo system includes five kinds of signal, of which this strategy uses four signals i.e. Tenkan Sen / Kijun Sen Cross, price crosses the Kijun Sen, Chikou Span and Kumo. Although the Chikou Span, Senkou Span A and Senkou Span B (Kumo) are shifted into the past/future, these trigger signals enhances the strategy.
The Tenkan Sen, also known as the Turning or Conversion line, is a moving average of the highest high and lowest low over the last 9 periods in this strategy.
The Kijun Sen, also known as the Standard or Base line, is a moving average of the highest high and lowest low over the last 24 periods in this strategy.
The Chikou Span, also known as the Lagging line, is the closing price plotted 24 periods behind in this strategy.
The Senkou Span A, also known as the 1st leading line, is a moving average of the Tenkan Sen and Kijun Sen and is plotted 24 periods ahead in this strategy.
The Senkou Span B, also known as the 2nd leading line, is a moving average of the highest high and lowest low over the last 51 trading days is plotted 24 periods ahead in this strategy.
Hull MA-X + Ichimoku Kinko Hyo StrategyHull MA-X:
The Hull MA involves the weighted moving average ( WMA ) in its calculation.
First, calculate the WMA with period (n / 2) and multiply this by 2. Remember ‘n’ is the time period configurable based on the trader’s requirement.
Second, calculate the WMA for period “n” and subtract if from the first step. Thirdly, calculate the weighted moving average with period sqrt (n) using the data from the second step. You can take a look at the below formula:
Hull MA= WMA (2*WMA (n/2) − WMA (n)), sqrt (n))
The default setting is 12 periods in this strategy, fast Hull MA crossing slow Hull MA will generate a circle on charts.
Ichimoku Kinko Hyo:
The Ichimoku Kinko Hyo system includes five kinds of signal, of which this strategy uses four signals i.e. Tenkan Sen / Kijun Sen Cross, price crosses the Kijun Sen, Chikou Span and Kumo. Although the Chikou Span, Senkou Span A and Senkou Span B (Kumo) are shifted into the past/future, these trigger signals enhances the strategy.
The Tenkan Sen, also known as the Turning or Conversion line, is a moving average of the highest high and lowest low over the last 9 periods in this strategy.
The Kijun Sen, also known as the Standard or Base line, is a moving average of the highest high and lowest low over the last 24 periods in this strategy.
The Chikou Span, also known as the Lagging line, is the closing price plotted 24 periods behind in this strategy.
The Senkou Span A, also known as the 1st leading line, is a moving average of the Tenkan Sen and Kijun Sen and is plotted 24 periods ahead in this strategy.
The Senkou Span B, also known as the 2nd leading line, is a moving average of the highest high and lowest low over the last 51 trading days is plotted 24 periods ahead in this strategy.
As with most technical analysis methods, Ichimoku is likely to produce frequent conflicting signals in non-trending markets, So in addition to Ichimoku Kinko Hyo, the Hull MA is used, which is popular amongst some day traders, in combination it attempts to give an accurate signal by eliminating lags and improving the smoothness of the line.
The Hull MA Cross in combination with Ichimoku Kinko Hyo signals tries to give an accurate signal by eliminating lags and improve the smoothness of price activity. Please note that price trends can and do change often, so your readings of the charts and this trading system should be probabilistic, rather than predictive.
Ichimoku Kinko Hyo + HULL-MA_X + MacDThe Ichimoku Kinko Hyo system includes five kinds of signal, of which this strategy uses the most recent of ones i.e. Tenkan Sen / Kijun Sen Cross and price crosses the Kijun Sen. As the Chikou Span, Senkou Span A and Senkou Span B are shifted into the past/future, the trigger signals will be only be used for visual confirmation and not part of the strategy.
The Tenkan Sen, also known as the Turning or Conversion line, is a moving average of the highest high and lowest low over the last 9 periods in this strategy.
The Kijun Sen, also known as the Standard or Base line, is a moving average of the highest high and lowest low over the last 24 periods in this strategy.
The Chikou Span, also known as the Lagging line, is the closing price plotted 24 periods behind in this strategy.
The Senkou Span A, also known as the 1st leading line, is a moving average of the Tenkan Sen and Kijun Sen and is plotted 24 periods ahead in this strategy.
The Senkou Span B, also known as the 2nd leading line, is a moving average of the highest high and lowest low over the last 51 trading days is plotted 24 periods ahead in this strategy.
Moving average convergence divergence (MaCD) is a trend-following momentum indicator that shows the relationship between two moving averages of prices. The MaCD is calculated in this strategy by subtracting the 24-day exponential moving average (EMA) from the 12-day EMA. A nine-day EMA of the MACD, called the "signal line", aMaCD in this case, is then plotted on top of the MaCD. In this strategy, MaCD/ aMaCD Cross is functioning as a trigger for buy and sell signals.
As with most technical analysis methods, Ichimoku is likely to produce frequent conflicting signals in non-trending markets, So in addition to Ichimoku Kinko Hyo, the Hull MA is popular amongst some day traders, as the indicator which in combination with MaCD attempts to give an accurate signal by eliminating lags and improving the smoothness of the line.
Alan Hull, developed this moving average indicator and hence it’s called the Hull MA.
Now, let’s dissect how the Hull moving average is calculated.
The Hull MA involves the weighted moving average (WMA) in its calculation.
First, calculate the WMA with period (n / 2) and multiply this by 2. Remember ‘n’ is the time period configurable based on the trader’s requirement. The default setting is 12 periods in this strategy, fast Hull MA crossing slow Hull MA will generate a circle on charts.
Second, calculate the WMA for period “n” and subtract if from the first step. Thirdly, calculate the weighted moving average with period sqrt (n) using the data from the second step. You can take a look at the below formula:
Hull MA= WMA (2*WMA (n/2) − WMA (n)), sqrt (n))
The Hull MA Cross in combination with Tenkan Sen / Kijun Sen Cross and MaCD tries to give an accurate signal by eliminating lags and improve the smoothness of price activity. Please note that price trends can and do change often, so your readings of the charts and this trading system should be probabilistic, rather than predictive.
alert!!!!alerts work over values of plots on the chart. could not find a way to add an alert when a strategy is triggered.
so, i created an alert chart that uses the same conditions as the strategy(i published the example strat in my previous script). an alert chart should be mostly zero, but when the strat fires up, the alert = 1, and when the strat fires down, alert = -1. this way it's easy to check the chart for alerts.
but, if i'm looking at the cahrt and see the strat's arrows, what's the point? well, the point is that we can add alerts to this chart, to send emails, popup on screen, start screaming, whatever. so that now i don't actually need the chart in screen all the time :)
since this alert chart behaves so nice, values = to add an alert is just setting it's value >0.5, or value > -0.5 :)
note: aloert is not actually in the script, it has to be added manually using the button. if Pine has a way to add alerts programatically, i couldn't find it
Strategy Code Example - Risk Management*** THIS IS JUST AN EXAMPLE OF STRATEGY RISK MANAGEMENT CODE IMPLEMENTATION ***
For my own future reference, and for anyone else who needs it.
Pine script strategy code can be confusing and awkward, so I finally sat down and had a little think about it and put something together that actually works (i think...)
Code is commented where I felt might be necessary (pretty much everything..) and covers:
Take Profit
Stop Loss
Trailing Stop
Trailing Stop Offset
...and details how to handle the input values for these in a way that allows them to be disabled if set to 0, without breaking the strategy.exit functionality or requiring a silly amount of statement nesting.
Also shows how to use functions (or variables/series) to execute trade entries and exits.
Cheers!
Everyday 0003 _ MAC Pullback I recently posted a Moving Averge Crossover strategy for my Everyday project - a project I've given myself where I try to create one strategy everyday in between 15 minutes and 2 hours.
In the comments of my last published idea, user SignalTradersUK was very kind and suggested I try the following in my next study:
"i think your next study should be, to workout what to do after the Moving Average cross! If you look just on the chart you have posted, Price would appear to always come back to the levels where the 2 MA's cross and then go back in the direction of the crossing of the MA's. It's a great pull back strategy."
I'm really just beginning to learn about coding strategies so I'm not 100% sure I correctly understood his suggestion.
I admit I had difficulties wrapping my head around how to do this.
Anyway, the result is a strategy which runs alongside the main Moving Average Crossover.
'The Algorithm'
When the fast and slow MA cross the strategy traces back 40 days to find a swing low.
This swing low and the price at the MA cross is used to calculate a fib 1.272 extension.
The price at this 1.272 extension is used to place a Pullback short order.
Since we're shorting a bull trend, a tight stop is used.
If the pullback reaches down to the fib 0.618 we take profit (close the short).
Like I said, I don't know if I correctly understood SignalTradersUK feedback, but I really appreciate the
feedback and advice!
As always I'm hoping to learn from the community, so all feedback, corrections and advice is very welcome!
Thanks!
/pbergden
Binary Options Strategy Testing ScriptThis is a script for testing binary options trading strategies. To test a strategy, modify the 'go_down' or 'go_up' booleans. These SHOULD NOT access any current values (for example, 'ohlc4' or 'close '), or the backtesting will not be an accurate representation of the forward values.
Modify the fraction_return input to be the return rate of the option on success. This is assumed to be a true 100 or 0 option- i.e. if the choice is not correct, there is a 100% loss.
The strategy in place is merely an example, and as you can see, has a very negative rate of return when implemented as a strategy.
Please comment in your code if you use this in any future posts. Thanks!
Outsidebar vs Insidebar, Illusion Strategy (by ChartArt)WARNING: This strategy does not work! Please don't trade with this strategy
I'm sharing this strategy for the following three educational reasons:
1. You can easily find 100% strategies, but if they only seem to work 100% on one asset, they actually don't work at all. Therefore never backtest your strategy only on one asset, especially forward testing is useless, because it tends to repeat the old patterns. Your strategy has to work on as many different assets as possible.
2. The pyramiding of orders can have an impact on the strategy. In this case if you manually change the strategy settings by increasing it from 1 to 100 pyramiding orders changes the percent profitable on "UKOIL" monthly from 100% to 90% profitable. On other assets you can see very different results. Allowing much more pyramiding orders in this case results in opening orders where the background color highlights appear.
3. The Tradingview backtest beta version currently does not close the last open trade during the backtest. In this case going long on "UKOIL" near the top in 2011 as this strategy did would result in a big loss in 2015. But since the trade is still open and not canceled out by a new short order it still appears as if this strategy works 100% profitable. Which it doesn't.
[AutoView] MovingAvg Cross - Video AttachedThere is nothing special or spectacular about this script. It's your standard Moving Average Cross Strategy. It is actually a built in script everyone has access to already. I only changed some of the settings and flipped the orders.
The reason I actually published this, is because people have been asking me what the best way to find the best settings for a strategy. So I made a YouTube video showing people how I personally do it. I took this built in strategy and within 5 minutes took it from a net profit loss and profit factor of 0.5 to a net profit win with a profit factor of 3-5.
Of course this is only on the 1 minute candles, so forward testing the strategy is a must as I do not recommend straight up taking this and trading it.
You can watch the video here:
www.youtube.com
Hope this helps everyone speed up their back testing and fine tuning their strategies.
How to automate this strategy for free using a chrome extension.Hey everyone,
Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep.
Step 1:
You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol)
Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert.
Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please.
This following script is for the custom alerts:
//@version=2
study("4All-Alert", shorttitle="Alerts")
src = close
len = input(4, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(5)
sn = 100 - rsin
ln = 0 + rsin
short = crossover(rsi, sn) ? 1 : 0
long = crossunder(rsi, ln) ? 1 : 0
plot(long, "Long", color=green)
plot(short, "Short", color=red)
Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts.
To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com
For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close.
In the message for a long place this as your message:
Long
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=13 sl=25
and for the short...
Short
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=13 sl=25
If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all.
I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView.
ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts.
There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided.
Best of luck and happy trading.
Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links.
www.okcoin.com
1broker.com
4-Hour Range Scalping [v6.3]User Guide: 4-Hour Range Scalping Strategy
Hello! Here is the guide for the Pine Script strategy. Please read it carefully to get the best results.
📈 This script automates the "4-Hour Range Scalping Strategy" from the video.
The main idea is that the first four hours of a major trading day (like New York) set up a "trap zone." The strategy waits for the price to break out of this zone and then fail, giving us a signal that the breakout was false and the price is likely to reverse.
Here’s the simple logic:
Define the Range: It precisely calculates the highest high and lowest low during the first four hours of the selected trading session (e.g., 00:00 to 04:00 New York Time).
Wait for a Breakout: It then monitors the 5-minute chart for a price breakout where a candle fully closes outside of this established range.
Identify the Reversal: The trade trigger occurs when the price fails to continue its breakout and a subsequent 5-minute candle closes back inside the range. This signals a potential reversal or "failed breakout."
Execute the Trade:
]A Short (Sell) trade is triggered after a failed breakout above the range high.
A Long (Buy) trade is triggered after a failed breakout below the range low.
Manage the Risk: The Stop Loss is automatically placed at the peak (for shorts) or trough (for longs) of the breakout move, and the Take Profit is set to a default 2:1 Risk/Reward Ratio.
How to Use the Script (Step-by-Step) ⚙️
Follow these instructions to get it running perfectly.
1. Set Your Chart Timeframe This is the most important step. The strategy is designed to run on a 5-minute (5m) chart. Open your TradingView chart and make sure the timeframe is set to "5m".
2. Add the Script to Your Chart Open the Pine Editor tab at the bottom of TradingView, paste the entire script, and click the "Add to chart" button.
3. Configure the Settings On your chart, find the strategy's name (e.g., "4-Hour Range Scalping ") and click the gear icon ⚙️ to open its settings.
Trading Session: Choose the session for the range. New York is the default and the one from the video.
Risk/Reward Ratio: The default is 2.0, meaning your potential profit is twice your potential loss. You can adjust this to test other targets.
Backtesting Period: To see how the strategy performed on all historical data, go to the "Strategy Tester" panel, click its own gear icon ⚙️, and uncheck the boxes for "Start Date" and "End Date."
4. Understand the Visuals on Your Chart
Blue Background Area: This is the 4-hour calculation window. The script is identifying the day's high and low during this time. No trades will ever happen here.
Red Line (Range High): The highest price of the 4-hour window. This is the upper boundary of the "trap zone."
Green Line (Range Low): The lowest price of the 4-hour window. This is the lower boundary.
Green Triangle (▲): Shows where a Long (Buy) trade was entered.
Red Triangle (▼): Shows where a Short (Sell) trade was entered.
A Very Important Note on Timezones 🕒
This is critical for you in the Philippines (PHT).
The script is based on the New York session, which is 12 hours behind you. Your TradingView chart will still show your local time, but the script works on NY time in the background.
The New York "day" begins at 12:00 PM (Noon) your time.
The script's blue calculation window will be from 12:00 PM to 4:00 PM your local time.
The red and green range lines will appear on your chart only after 4:00 PM your time.
So, if you look at your chart in the morning or early afternoon, you will not see today's range yet. This is normal! The script is just waiting for the New York session to start.
How to Set Up Trade Alerts 🔔
You can have TradingView send you a notification whenever the script enters a trade.
Click the "Alert" button (looks like a clock) in the right-hand toolbar of TradingView.
In the "Condition" dropdown, select the name of the script (e.g., "4-Hour Range Scalping...").
You will then see two options: "Long Signal" and "Short Signal".
Select one (e.g., "Long Signal") and configure how you want to be notified (e.g., "Notify on app").
Click "Create". Repeat the process to create an alert for the other signal.
⚠️ Important Disclosure
For Educational and Research Purposes Only.
This script and all accompanying information are provided for educational and research purposes only. The strategy demonstrated is a technical concept and should not be misconstrued as financial, investment, legal, or tax advice.
Trading financial markets involves substantial risk and is not suitable for every investor. There is a possibility that you could sustain a loss of some or all of your initial investment. Therefore, you should not invest money that you cannot afford to lose.
Past performance is not indicative of future results. The backtesting results shown by this script are historical and do not guarantee future performance. Market conditions are constantly changing.
By using this script, you acknowledge that you are solely responsible for any and all trading decisions you make. You should conduct your own thorough research and, if necessary, seek advice from an independent financial advisor before making any investment decisions. The creators of this script assume no liability for any of your trading results.
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION
OVERVIEW
Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws.
Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range.
HOW IT WORKS
DUAL ALMA SYSTEM
The strategy uses two ALMA lines applied to price returns:
• Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods)
• Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods)
ALMA is superior to simple or exponential moving averages because it provides:
• Smoother curves with less noise
• Significantly reduced lag
• Natural resistance to outliers and flash crashes
TRADING LOGIC
BUY SIGNAL:
• Fast ALMA crosses above Slow ALMA (bullish regime)
• Price makes new N-bar high (momentum confirmation)
• Optional: Price above 200 EMA (macro trend filter)
• Optional: ALMA lines sufficiently separated (strength filter)
SELL SIGNAL:
• Fast ALMA crosses below Slow ALMA (bearish regime)
• Optional: Price makes new N-bar low (momentum confirmation)
The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months.
VISUAL INDICATORS
LINES:
• Blue Line: Fast ALMA (short-term signal)
• Black Line: Slow ALMA (long-term baseline)
TRADE MARKERS:
• Green Triangle Up: Buy executed
• Red Triangle Down: Sell executed
• Orange "M": Buy blocked by momentum filter
• Purple "W": Buy blocked by weak crossover strength
KEY PARAMETERS
ALMA SETTINGS:
• Short Period (default: 30) - Fast signal responsiveness
• Long Period (default: 250) - Baseline stability
• ALMA Offset (default: 0.90) - Balance between lag and smoothness
• ALMA Sigma (default: 7.5) - Gaussian curve width
ENTRY/EXIT FILTERS:
• Buy Lookback (default: 7) - Bars for momentum confirmation (required)
• Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits)
• Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled)
• Use Macro Filter (default: true) - Only enter above 200 EMA
BEST PRACTICES
RECOMMENDED ASSETS - Works well on:
• Cryptocurrencies (Bitcoin, Ethereum, etc.)
• Major indices (S&P 500, Nasdaq)
• Large-cap stocks
• Commodities (Gold, Oil)
RECOMMENDED TIMEFRAMES:
• Daily: Primary timeframe for swing trading
• 4-Hour: More active trading (increase trade frequency)
• Weekly: Long-term position trading
PARAMETER TUNING:
• More trades: Lower Short Period (60-80)
• Fewer trades: Raise Short Period (100-120)
• Faster exits: Set Sell Lookback = 0
• Safer entries: Enable Macro Filter (Use Macro Filter = true)
STRATEGY ADVANTAGES
1. Low Lag - ALMA provides faster signals than traditional moving averages
2. Smooth Signals - Minimal whipsaws compared to crossover strategies
3. Asset Agnostic - Same parameters work across different markets
4. Trend Capture - Stays positioned during entire bullish regimes
5. Risk Management - Multiple filters prevent poor entries
6. Visual Clarity - Easy to interpret regime and filter states
WHEN TO USE HERMES
BEST FOR:
• Trending markets (crypto bull runs, equity uptrends)
• Swing trading (hold days to weeks)
• Position trading (hold weeks to months)
• Clear trend identification
• Risk-managed exposure
NOT SUITABLE FOR:
• Ranging/sideways markets
• Scalping or day trading
• High-frequency trading
• Mean reversion strategies
RISK DISCLAIMER
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading.
CREDITS
Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering.
Strategy by Hermes Trading Systems
QUICK START
1. Add indicator to chart
2. Use on daily timeframe for best results
3. Look for green buy signals when blue line crosses above black line
4. Exit on red sell signals when blue line crosses below black line
5. Adjust parameters based on your trading style:
• Conservative: Enable Macro Filter, increase Buy Lookback to 10
• Aggressive: Disable Macro Filter, lower Short Period to 60
• Default settings work well for most assets
🚀 DocBrown V73++ EstrategiaStrategy Overview
The "DocBrown V73+ Unified Strategy" is a complex and multifaceted algorithmic trading system designed to operate in trending markets. Its core strategy is following the main trend, but its main strength lies in the numerous risk management modules and market filters it uses to protect capital and optimize trade exits.
The strategy combines classic trend indicators (EMAs, MACD, ADX) with volatility analysis (Bollinger Band Width) and volume to identify high-probability entry points. However, its most distinctive feature is its sophisticated exit system, which includes multiple Stop Loss (SL) and Take Profit (TP) types that adapt to various market conditions.
Entry Logic
To open a position (long or short), the strategy evaluates a set of conditions. The main entry is based on:
Market Regime Filter: This is a master filter that ensures trading is only carried out in favorable trend conditions. To do this, it simultaneously requires:
A minimum ADX to confirm the strength of the trend.
A minimum Bollinger Band Width (BBW) to ensure sufficient volatility.
A minimum slope in the slow EMA to confirm the market's direction.
EMA Alignment: Uses three Exponential Moving Averages (fast, medium, and slow). A long entry requires the fast EMA to be above the average, and the average above the slow EMA. For a short entry, the condition is the reverse.
Momentum Confirmation: The MACD must be crossed in the direction of the trade (the MACD line must be above the signal line for longs, and vice versa for shorts).
Volume Filter: The volume of the current candle must exceed a minimum ratio compared to its moving average to avoid signals of low market interest.
Trend Exhaustion Filter: Prevents new entries if the ADX, after reaching a very high peak, begins to decline, suggesting that the trend may be losing strength.
It also includes an alternative entry condition based on a "3-Candle Momentum," which looks for three consecutive candles in the same direction with progressively increasing volume, signaling a possible explosive move.
Risk Management and Exit Strategies
This is the most complex and robust part of the strategy, with multiple defense and profit-taking mechanisms:
Take Profit (TP)
Dynamic TP (Enabled by default): Instead of a fixed target, the strategy calculates the TP based on the nearest support and resistance levels. For a long position, it will look for the next resistance, and for a short position, the next support.
Trailing After a Breakout: If the price breaks an S&R level and the trade continues in favor, the strategy can move the SL to that broken level and recalculate a new TP target.
Stop Loss (SL) and Defensive Closes
The strategy features an arsenal of different types of Stop Losses for different situations:
Breakeven SL: Once the trade reaches a predefined profit percentage, the SL automatically moves to the entry price plus a small buffer to cover commissions. This ensures that a winning trade doesn't turn into a losing one.
Safety Bracket (Anti-Liquidation): This is an "emergency stop" that can be activated to prevent catastrophic losses. It is calculated based on the ATR or a fixed percentage of the price.
Adverse Volume Spike SL: Closes the position if a candle appears against the trade with abnormally high volume, which may indicate a violent reversal.
Consecutive Candle SL: If a certain number of candles (for example, 3.5) form in a row against the position, the strategy closes the trade to cut the loss.
Stagnant Stop: Closes the trade if it enters a loss and the price then remains sideways (without movement) for a defined number of bars, avoiding being trapped in a directionless position.
Derivative Stop (Anti-Trend and Counter-Trend): An advanced system that monitors price momentum and acceleration. If it detects that the price begins to move sharply against the trend after accumulating a certain amount of profit, it closes the position to protect profits.
Drawdown Stop (Loss): A special trailing stop that is only activated while the trade is in a loss. If the price attempts to recover but then falls again, this Stop is adjusted to minimize the loss from the peak of that small recovery.
Counter-Trend SL (BB-CT): Closes the position if, despite being in profit, the market shows clear signs of a trend reversal, such as the price returning within the Bollinger Bands and the MACD crossing against it.
Additional Features
Multi-Timeframe (MTF) Analysis: The strategy can run on a single chart (e.g., 1-minute) but makes all its decisions based on data from a longer timeframe (e.g., 5 or 15 minutes), allowing it to filter out market noise.
Frequency Control: Includes options to limit trades to one per candle and to set a cooldown period after closing a trade, preventing overtrading.
Date Filter: Allows backtesting over a specific timeframe.
Information Panel: Displays key data such as the strategy status, current TP/SL levels, unrealized profits (MFE), and the status of internal signals in real time on the chart.
Full Display: Draws S&R levels, EMAs, Bollinger Bands, and active entry, TP, and SL levels on the chart.
IMPORTANT:
Use in Isolated Leverage x5 (limit), start small and test tokens before jumping in.
DONATIONS: Token: USDT - Network: BSC Binance Smart Chain
Wallet: 0xe87b4589a53443d8ffed2e9b5a7ef58f261f087c
AlgoWay GRSIM🧭 What this strategy tries to do
This strategy detects when a market move is losing strength and prepares for a potential reversal, but it waits for fresh momentum confirmation before acting.
It combines:
• RSI-based divergence (to spot exhaustion and potential turning points),
• Impulse MACD (to verify that the new direction actually has force behind it).
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⚙️ When it takes trades
Long (Buy):
• A bullish RSI divergence appears (a clue that selling pressure is fading);
• Within a short time window, the Impulse MACD turns strongly positive;
• Optionally, the impulse line itself must be rising (if the Impulse Direction Filter is
enabled).
Short (Sell):
• A bearish RSI divergence appears (buying pressure fading);
• Within a short time window, the Impulse MACD turns strongly negative;
• Optionally, the impulse line must be falling (if the Impulse Direction Filter is enabled).
If momentum confirmation happens too late, the divergence “expires” and the signal is ignored.
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🧩 How entries work
1. Reversal clue:
The strategy detects disagreement between price and RSI (price makes a new high/low, RSI doesn’t).
That suggests a shift in underlying strength.
2. Momentum confirmation:
Before entering, the Impulse MACD must agree — showing real push in the same direction.
3. Impulse direction filter (optional):
When enabled, the impulse itself must accelerate (rise for longs, fall for shorts), avoiding fake signals where price diverges but momentum is still fading.
4. No stacking:
It opens only one position at a time.
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🚪 How exits work
Two main exit styles:
Conservative (default):
Longs close when impulse crosses below its signal line.
Shorts close when impulse crosses above its signal line.
✅ Keeps trades as long as momentum agrees.
Color-change (fast):
Longs close immediately when impulse flips bearish.
Shorts close immediately when impulse flips bullish.
⚡ Faster and more defensive.
Plus:
Stop Loss (%) and Take Profit (%) act as fixed-distance protective exits (set to 0 to disable either one).
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📊 What you’ll see on the chart
A thick Impulse MACD line and thin signal line (oscillator view).
Diamonds — detected bullish/bearish divergence points.
Circles — where impulse crosses its signal (momentum change).
A performance panel (top-right) showing Net Profit, Trades, Win Rate, Profit Factor, Pessimistic PF, and Max Drawdown.
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🔧 What you can tune
Signal Lifetime (bars): how long a divergence remains valid.
Impulse Direction Filter: ensure the impulse itself is moving in the trade’s direction.
Stop Loss / Take Profit (%): risk and target in percent.
Exit Style: conservative cross or faster color-change.
RSI / MA / Signal Lengths: adjust responsiveness (defaults are balanced).
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💪 Strengths
Confirms reversals using momentum direction, not just divergence.
Avoids “early” signals where momentum is still fading.
Works symmetrically for longs and shorts.
Built-in stop/target protection.
Clear, visual confirmation of all logic components.
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⚠️ Things to keep in mind
In sideways markets, the impulse can flip often — prefer conservative exits.
Too small SL/TP → constant stop-outs.
Too wide SL/TP → deep drawdowns.
Always test with different timeframes and markets.
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💡 Practical tips
Start with default settings.
Enable “Use Impulse Direction Filter” in trending markets, disable it in very choppy ones.
Focus on Profit Factor, Win Rate, and Max Drawdown after several dozen trades.
Keep SL/TP roughly aligned with typical swing size.
“AlgoWay GRSIM” is a reversal-with-confirmation strategy: it spots likely turns, demands real momentum alignment (optionally verified by impulse direction), and manages exits with clear momentum cues plus built-in protective limits.
Heiken Ashi BasProfessional Heiken Ashi + Ichimoku Baseline Scalping Strategy
Strategy Overview:
This advanced scalping methodology combines the smoothing power of Heiken Ashi candles with the reliable support/resistance levels of Ichimoku's Kijun-sen baseline. Designed for active traders seeking precise entry points in trending markets, the strategy incorporates multiple confirmation filters to enhance signal reliability.
Key Features:
• Dual Confirmation System : Heiken Ashi trend alignment with Ichimoku baseline crossover
• Smart Risk Management : Dynamic ATR-based take profit and stop loss across multiple timeframes
• Trend Filter Integration : Optional 200 EMA filter to align with broader market direction
• Divergence Detection : Real-time Ichimoku baseline momentum analysis
• Visual Trading Signals : Clear buy/sell markers with TP/SL level displays
Technical Components:
- Heiken Ashi Smoothing : Reduces market noise for cleaner trend identification
- Ichimoku Baseline (Kijun-sen) : Acts as dynamic support/resistance level
- Multi-timeframe ATR : Adaptive position sizing based on market volatility
- Momentum Confirmation : Baseline divergence filtering for enhanced timing
Ideal For:
- Forex and cryptocurrency markets
- 1-5 minute timeframes for scalping
- Trending market conditions
- Risk-aware traders seeking systematic approaches
Customization Options:
- Adjustable TP/SL multipliers based on risk tolerance
- Optional trend and divergence filters
- Flexible timeframe settings for different trading styles
- Visual display preferences for chart clarity
Educational Value:
This script demonstrates professional-grade techniques in:
- Multi-indicator convergence strategies
- Dynamic risk management implementation
- Real-time market structure analysis
- Systematic trade execution methodology
Quantum Flux Universal Strategy Summary in one paragraph
Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version.
Scope and intent
• Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. QQQ on one hour
• Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps.
• What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise.
• Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state.
• Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols.
Method overview in plain language
The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction.
Base measures
• Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale.
• Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop.
• Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves.
Components
• Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner.
• Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends.
• Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response.
• Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance.
• Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot.
Fusion rule
• Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent.
• The blend power input scales the driver mix. Zero means fixed spans. One means full driver control.
• Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes.
Signal rule
• Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one.
• Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one.
• When polarity flips from plus to minus, the strategy closes any long and enters a short.
• When flux crosses above the guide, the strategy closes any short.
What you will see on the chart
• White polarity plot around the zero line
• A dotted reference line at zero named Zen
• Green background tint for positive polarity and red background tint for negative polarity
• Strategy long and short markers placed by the TradingView engine at entry and at close conditions
• No table in this version to keep the visual clean and portable
Inputs with guidance
Setup
• Price source. Default ohlc4. Stable for noisy symbols.
• Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive.
• Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price.
Logic
• Guide span. Typical range 4 to 12. A small guide smooths without eating turns.
• Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing.
• Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work.
• Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise.
• Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve.
• Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak.
• Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong.
• Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline.
• Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols.
• Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs.
Filters
• Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends.
• Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping.
• Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version.
Alerts
• This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows.
Strategy has been currently adapted for the QQQ asset with 30/60min timeframe.
For other assets may require new optimization
Properties visible in this publication
• Initial capital 25000
• Base currency Default
• Default order size method percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Honest limitations and failure modes
• Past results do not guarantee future outcomes
• Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency
• Gap heavy symbols may benefit from the MAD Z normalization
• Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context
• Session time is the exchange time of the chart
• If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference
Open source reuse and credits
• None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank
• Method and fusion are original in construction and disclosure
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategy add on block
Strategy notice
Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used.
Entries and exits
• Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero
• Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short
• Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed
• Tie handling. Not applicable in this version because there are no fixed stops or targets
Position sizing
• Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice
Properties used on the published chart
• Initial capital 25000
• Base currency Default
• Default order size percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Dataset and sample size
• Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour
• Trade count in sample 324 on the example chart
Release notes template for future updates
Version 1.1.
• Add alertcondition lines for long, short, and exit short
• Add optional table with component readouts
• Add optional stop model with a distance unit expressed as ATR or a percent of price
Notes. Backward compatibility Yes. Inputs migrated Yes.
Bitcoin Halving Strategy
A systematic, data-driven trading strategy based on Bitcoin's 4-year halving cycles. This strategy capitalizes on historical price patterns that emerge around halving events, providing clear entry and exit signals for both accumulation and profit-taking phases.
🎯 Strategy Overview
This automated trading system identifies optimal buy and sell zones based on the predictable Bitcoin halving cycle that occurs approximately every 4 years. By analyzing historical data from all previous halvings (2012, 2016, 2020, 2024), the strategy pinpoints high-probability trading opportunities.
📊 Key Features
Automated Signal Generation: Buy signals at halving events and DCA zones, sell signals at profit-taking peaks
Multi-Phase Analysis: Tracks Accumulation, Profit Taking, Bear Market, and DCA phases
Visual Dashboard: Real-time performance metrics, phase countdown, and position tracking
Backtesting Enabled: Comprehensive historical performance analysis with configurable parameters
Risk Management: Built-in position sizing, slippage control, and optional short trading
⚙️ Strategy Logic
Buy Signals:
At halving event (Week 0)
DCA zone entry (Week 135 post-halving)
Sell Signals:
Profit-taking zone (Week 80 post-halving)
Optional short position entry for advanced traders
📈 Performance Highlights
Captures major bull run profits while avoiding prolonged bear markets
Clear visual indicators for all phases and transitions
Customizable timing parameters for personalized risk tolerance
Professional dashboard with live P&L, win rate, and drawdown metrics
🛠️ Customization Options
Adjustable phase timing (profit start/end, DCA timing)
Position sizing control
Enable/disable short trading
Visual customization (colors, labels, zones)
Table positioning and transparency
⚠️ Risk Disclosure
Past performance does not guarantee future results. This strategy is based on historical halving cycle patterns and should be used as part of a comprehensive trading plan. Always conduct your own research and consider your risk tolerance before trading.
💡 Ideal For
Long-term Bitcoin investors seeking systematic entry/exit points
Swing traders capitalizing on multi-month trends
Portfolio managers implementing cycle-based allocation strategies
RSI Momentum ScalperOverview
The "RSI Momentum Scalper" is a Pine Script v5 strategy crafted for trading highly volatile markets, with a special focus on newly listed cryptocurrencies. This strategy harnesses the Relative Strength Index (RSI) alongside volume analysis and momentum thresholds to pinpoint short-term trading opportunities. It supports both long and short trades, managed with customizable take profit, stop loss, and trailing stop levels, which are visually plotted on the chart for easy tracking.
Why I Created This Strategy
I developed the "RSI Momentum Scalper" because I was seeking a reliable trading strategy tailored to newly listed, highly volatile cryptocurrencies. These assets often experience rapid price fluctuations, rendering traditional strategies less effective. I aimed to create a tool that could exploit momentum and volume spikes while managing risk through adaptable exit parameters. This strategy is designed to address that need, offering a flexible approach for traders in dynamic crypto markets.
How It Works
The strategy utilizes RSI to identify momentum shifts, combined with volume confirmation, to trigger long or short entries. Trades are controlled with take profit, stop loss, and trailing stop levels, which adjust dynamically as the price moves in your favor. The trailing stop helps lock in profits, while the plotted exit levels provide clear visual cues for trade management.
Customizable Settings
The script is highly customizable, allowing you to adjust it to various market conditions and trading styles. Here’s a brief overview of the key settings:
Trade Mode: Select "Both," "Long Only," or "Short Only" to determine the trade direction.
(Default: Both)
RSI Length: Sets the lookback period for the RSI calculation (2 to 30).
(Default: 8)
A shorter length increases RSI sensitivity, suitable for volatile assets.
RSI Overbought: Defines the upper RSI threshold (60 to 99) for short entries.
(Default: 90)
Higher values signal stronger overbought conditions.
RSI Oversold: Defines the lower RSI threshold (1 to 40) for long entries.
(Default: 10)
Lower values indicate stronger oversold conditions.
RSI Momentum Threshold: Sets the minimum RSI momentum change (1 to 15) to trigger entries.
(Default: 14)
Adjusts the sensitivity to price momentum.
Volume Multiplier: Multiplies the volume moving average to filter high-volume bars (1.0 to 3.0).
(Default: 1)
Higher values require stronger volume confirmation.
Volume MA Length: Sets the lookback period for the volume moving average (5 to 50).
(Default: 13)
Influences the volume trend sensitivity.
Take Profit %: Sets the profit target as a percentage of the entry price (0.1 to 10.0).
(Default: 4.15)
Determines when to close a winning trade.
Stop Loss %: Sets the loss limit as a percentage of the entry price (0.1 to 6.0).
(Default: 1.85)
Protects against significant losses.
Trailing Stop %: Sets the trailing stop distance as a percentage (0.1 to 4.0).
(Default: 2.55)
Locks in profits as the price moves favorably.
Visual Features
Exit Levels: Take profit (green), fixed stop loss (red), and trailing stop (orange) levels are plotted when in a position.
Performance Table: Displays win rate, total trades, and net profit in the top-right corner.
How to Use
Add the strategy to your chart in TradingView.
Adjust the input settings based on the cryptocurrency and timeframe you’re trading.
Monitor the plotted exit levels for trade management.
Use the performance table to assess the strategy’s performance over time.
Notes
Test the strategy on a demo account or with historical data before live trading.
The strategy is optimized for short-term scalping; adjust settings for longer timeframes if needed.
