Recherche dans les scripts pour "alert"
MOST STRATEGY with AlertMOST STRATEGY with Alert
MOST : Moving Stop Loss Indicator
Developed by economist Anıl ÖZEKŞİ for MATRİKS TRADER platform.
This indicator is like a trailing stop indicator but differs in two ways.
First, trailing stops often uses price bars to determine the stop level, but MOST uses an adjustable percent of the Exponential Moving Average of the price which smooths the sudden price moves.
The second thing is that MOST gives BUY and SELL signals instead of giving one way signals for price action.
MOST has an EMA and a trailing percent stop level of EMA that can be adjusted by changing the length of the EMA and %percent of the stop level.
BUY when ExMoV crosses above MOST
LONG CONDITION when ExMov is above MOST
SELL whenExMov crosses below MOST
SHORT CONDITION when ExMov is below MOST
Developed by Anıl ÖZEKŞİ teknikanalizsanati.com
Here's the link to a complete list of all my indicators:
tr.tradingview.com
İndikatörü geliştiren: Anıl ÖZEKŞİ teknikanalizsanati.com
Ehlers MESA Adaptive Moving Average [LB + ekoronin fix] AlertEhlers MESA Adaptive Moving Average Alert
Bjorgum Double Tap█ OVERVIEW
Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns.
█ CONCEPTS
How Is A Pattern Defined?
Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern.
Pattern Recognition
Patterns are recognized through the use of zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described.
█ STRATEGY RESULTS
Back Testing
Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them.
👉 In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication.
Repainting
Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only.
👉 It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick" , and for confirmed signals ensure it is disabled.
█ EXIT ORDERS
Limit and Stop Orders
By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height.
Trailing Stops
Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety.
👉 It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only.
█ ALERTS
Five Built-in 3rd Party Destinations
The following are five options for delivering alerts from Double Tap to live trade execution via third party API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades.
Custom JSON
JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server.
Below is an example of a rendered JSON alert:
{
"passphrase": "1234",
"time": "2022-05-01T17:50:05Z",
"ticker": "ETHUSDTPERP",
"plot": {
"stop_price": 2600.15,
"limit_price": 3100.45
},
"strategy": {
"position_size": 0.1,
"order_action": "buy",
"market_position": "long",
"market_position_size": 0,
"prev_market_position": "flat",
"prev_market_position_size": 0
}
}
Trading Connector
Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from TradingView and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert.
Alertatron
Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts.
3 Commas
3 Commas is an easy and quick to use click-and-go third party crypto API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window.
Discord
Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts.
👉 For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider.
█ IMPORTANT NOTES
Setting Alerts
For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert.
{{strategy.order.alert_message}}
This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu.
Order Sizing and Commissions
The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well.
👉 It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert.
█ FOR PINECODERS
• With the recent introduction of matrices in Pine, the script utilizes a matrix to track pivot points with the bars they occurred on, while tracking if that pivot has been traded against to prevent duplicate detections after a trade is exited.
• Alert messages are populated with placeholders ; capability that previously was only possible in alertcondition() , but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.
• New arguments have been added to strategy.exit() , which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord
Zignaly TutorialThis strategy serves as a beginner's guide to connect TradingView signals to Zignaly Crypto Trading Platform.
It was originally tested at BTCUSDT pair and 1D timeframe.
Before using this documentation it's recommended that you:
Use default TradingView strategy script or another script and setup its associated alert manually. Just make the alert pop-up in the screen.
Create a 'Copy-Trader provider' (or Signal Provider) in Zignaly and send signals to it either thanks to your browser or with some basic programming.
SETTINGS
__ SETTINGS - Capital
(CAPITAL) Capital quote invested per order in USDT units {100.0}. This setting is only used when '(ZIG) Provider type' is set to 'Signal Provider'.
(CAPITAL) Capital percentage invested per order (%) {25.0}. This setting is only used when '(ZIG) Provider type' is set to 'Copy Trader Provider'.
__ SETTINGS - Misc
(ZIG) Enable Alert message {True}: Whether to enable alert message or not.
(DEBUG) Enable debug on order comments {True}: Whether to show alerts on order comments or not.
Number of decimal digits for Prices {2}.
(DECIMAL) Maximum number of decimal for contracts {3}.
__ SETTINGS - Zignaly
(ZIG) Integration type {TradingView only}: Hybrid : Both TradingView and Zignaly handle take profit, trailing stops and stop losses. Useful if you are scared about TradingView not firing an alert. It might arise problems if TradingView and Zignaly get out of sync. TradingView only : TradingView sends entry and exit orders to Zignaly so that Zignaly only buys or sells. Zignaly won't handle stop loss or other settings on its own.
(ZIG) Zignaly Alert Type {WebHook}: 'Email' or 'WebHook'.
(ZIG) Provider type {Copy Trader Provider}: 'Copy Trader Provider' or 'Signal Provider'. 'Copy Trader Provider' sends a percentage to manage. 'Signal Provider' sends a quote to manage.
(ZIG) Exchange: 'Binance' or 'Kucoin'.
(ZIG) Exchange Type {Spot}: 'Spot' or 'Futures'.
(ZIG) Leverage {1}. Set it to '1' when '(ZIG) Exchange Type' is set to 'Spot'.
__ SETTINGS - Strategy
(STRAT) Strategy Type: 'Long and Short', 'Long Only' or 'Short Only'.
(STOPTAKE) Take Profit? {false}: Whether to enable Take Profit.
(STOPTAKE) Stop Loss? {True}: Whether to enable Stop Loss.
(TRAILING) Enable Trailing Take Profit (%) {True}: Whether to enable Trailing Take Profit.
(STOPTAKE) Take Profit % {3.0}: Take profit percentage. This setting is only used when '(STOPTAKE) Take Profit?' setting is set to true.
(STOPTAKE) Stop Loss % {2.0}: Stop loss percentage. This setting is only used when '(STOPTAKE) Stop Loss?' setting is set to true.
(TRAILING) Trailing Take Profit Trigger (%) {2.5}: Trailing Stop Trigger Percentage. This setting is only used when '(TRAILING) Enable Trailing Take Profit (%)' setting is set to true.
(TRAILING) Trailing Take Profit as a percentage of Trailing Take Profit Trigger (%) {25.0}: Trailing Stop Distance Percentage. This setting is only used when '(TRAILING) Enable Trailing Take Profit (%)' setting is set to true.
(RECENT) Number of minutes to wait to open a new order after the previous one has been opened {6}.
DEFAULT SETTINGS
By default this strategy has been setup with these beginner settings:
'(ZIG) Integration type' : TradingView only
'(ZIG) Provider type' : 'Copy Trader Provider'
'(ZIG) Exchange' : 'Binance'
'(ZIG) Exchange Type' : 'Spot'
'(STRAT) Strategy Type' : 'Long Only'
'(ZIG) Leverage' : '1' (Or no leverage)
but you can change those settings if needed.
FIRST STEP
For both future of spot markets you should make sure to change '(ZIG) Zignaly Alert Type' to match either WebHook or Email. If you have a non paid account in TradingView as in October 2020 you would have to use Email which it's free to use.
RECOMMENDED SETTINGS
__ RECOMMENDED SETTINGS - Spot markets
'(ZIG) Exchange Type' setting should be set to 'Spot'
'(STRAT) Strategy Type' setting should be set to 'Long Only'
'(ZIG) Leverage' setting should be set to '1'
__ RECOMMENDED SETTINGS - Future markets
'(ZIG) Exchange Type' setting should be set to 'Futures'
'(STRAT) Strategy Type' setting should be set to 'Long and Short'
'(ZIG) Leverage' setting might be changed if desired.
__ RECOMMENDED SETTINGS - Signal Providers
'(ZIG) Provider type' setting should be set to 'Signal Provider'
'(CAPITAL) Capital quote invested per order in USDT units' setting might be changed if desired.
__ RECOMMENDED SETTINGS - Copy Trader Providers
'(ZIG) Provider type' setting should be set to 'Copy Trader Provider'
'(CAPITAL) Capital percentage invested per order (%)' setting might be changed if desired.
Strategy Properties setting: 'Initial Capital' might be changed if desired.
INTEGRATION TYPE EXPLANATION
'Hybrid': Both TradingView and Zignaly handle take profit, trailing stops and stop losses. Useful if you are scared about TradingView not firing an alert. It might arise problems if TradingView and Zignaly get out of sync.
'TradingView only': TradingView sends entry and exit orders to Zignaly so that Zignaly only buys or sells. Zignaly won't handle stop loss or other settings on its own.
HOW TO USE THIS STRATEGY
Beginner: Copy and paste the strategy and change it to your needs. Turn off '(DEBUG) Enable debug on order comments' setting.
Medium: Reuse functions and inputs from this strategy into your own as if it was a library.
Advanced: Check Strategy Tester. List of trades. Copy and paste the different suggested 'alert_message' variable contents to your script.
Expert: I needed a way to pass data from TradingView script to the alert. Now I know it's the 'alert_message' variable. I can do this own my own.
ALERTS SETUP
This is the important piece of information that allows you to connect TradingView to Zignaly in a semi-automatic manner.
__ ALERTS SETUP - WebHook
Webhook URL: https : // zignaly . com / api / signals.php?key=MYSECRETKEY
Message: { {{strategy.order.alert_message}} , "key" : "MYSECRETKEY" }
__ ALERTS SETUP - Email
Setup a new Hotmail account
Add it as an 'SMS email' in TradingView Profile settings page.
Confirm your own the email address
Create a rule in your Hotmail account that 'Redirects' (not forwards) emails to 'signals @ zignaly . email' when (1): 'Subject' includes 'Alert', (2): 'Email body' contains string 'MYZIGNALYREDIRECTTRIGGER' and (3): 'From' contains 'noreply @ tradingview . com'.
In 'More Actions' check: Send Email-to-SMS
Message: ||{{strategy.order.alert_message}}||key=MYSECRETKEY||
MYZIGNALYREDIRECTTRIGGER
'(DEBUG) Enable debug on order comments' is turned on by default so that you can see in the Strategy Tester. List of Trades. The different orders alert_message that would have been sent to your alert. You might want to turn it off it some many letters in the screen is problem.
STRATEGY ADVICE
If you turn on 'Take Profit' then turn off 'Trailing Take Profit'.
ZIGNALY SIDE ADVICE
If you are a 'Signal Provider' make sure that 'Allow reusing the same signalId if there isn't any open position using it?' setting in the profile tab is set to true.
You can find your 'MYSECRETKEY' in your 'Copy Trader/Signal' provider Edit tab at 'Signal URL'.
ADDITIONAL ZIGNALY DOCUMENTATION
docs . zignaly . com / signals / how-to -- How to send signals to Zignaly
3 Ways to send signals to Zignaly
SIGNALS
FINAL REMARKS
This strategy tries to match the Pine Script Coding Conventions as best as possible.
Premium MTF Layered RSI - Bitcoin Bot [wbburgin]This the premium version of my MTF Layered RSI strategy, which improves significantly on the original strategy (publicly available on my profile). Improvements are below. This strategy will also appear as an overlay on your chart. It is completely non-repainting.
The MTF Layered RSI strategy uses the current timeframe and two configurable higher timeframes to enter a long position when Bitcoin is oversold on all three timeframes, and exit the long position when Bitcoin is overbought on the current timeframe. This hedges against situations where the RSI on higher timeframes never reaches the overbought level and we are left "holding the bag" so to speak with the classic "enter long at oversold and enter short at overbought" strategy.
IMPORTANT: This strategy does not work on ranges. It will work on all timeframes and assets, but does not work on ranges (Renko blocks and some other advanced types of charts).
********** My Background
I am an investor, trader, and entrepreneur with 10 years of cryptocurrency and equity trading experience and founder of two fintech startups. I am a graduate of a prestigious university in the United States and carry broad and inclusive interests in mathematical finance, computer science, machine learning / artificial intelligence, as well as other fields.
**********
Improvements over the original MTF RSI strategy include:
Filters for Uptrends and Downtrends → The Premium RSI strategy will adjust its buy and sell thresholds depending on whether the instrument is trending. This means that, in uptrends, the Premium strategy will buy more frequently, bringing in potentially greater profit, and in downtrends, the strategy will stop buying altogether. These filters and dynamic buy/sell thresholds have made this strategy more profitable in my backtesting across random timeframes, but I cannot guarantee that the strategy will be profitable for you on the default settings. To that end, I have enabled a number of different configurations that you can change in the settings of the strategy.
Stop Loss / Take Profit Calculation Per Tick → Stop loss and take profit are now both enabled in the script and each has their own alerts. You can specify what type of stop loss or take profit you want: percentage or ATR. If you have alerts configured, you will be alerted mid-bar, instead of at close. This helps prevent loss from abrupt falls in price between closing price and next bar open.
Customizable Alert Messages In-Strategy → In the settings, there will be text boxes where you can create your own alerts. All you will need to do is create an alert in the alert panel on Tradingview and leave the message box blank - if you fill out the alert boxes in the settings, these will automatically populate into your alerts. There are in total eight different customizable alerts messages: Entry, Exit, Stop loss, and Take profit alerts for both Long and Short sides. If you disable stop loss and/or take profit, these alerts will also be disabled. Similarly, if you disable shorts, all short alerts will be disabled.
**********
Display
Configuring Stop Loss or Take Profit will make their corresponding displays appear.
Separately from the trading boxes, background colors (green, red) signify extended uptrends and downtrends, respectively.
Configuring Alerts
In TradingView desktop, go to the ‘Alerts’ tab on the right panel. Click the “+” button to create a new alert. Select this strategy for the condition and one of the two options that includes alert() function calls. Name the alert what you wish and clear the default message, because your text in the settings will replace this message.
Now that the alert is configured, you can go to the settings of the strategy and fill in your chosen text for the specific alert condition. You will need to check “Long and Short” in the “Trade Direction” setting in order for any Short Alerts to become active. Similarly, you will need to check “Enable Stop Loss” for stop loss alerts to become active and “Enable Take Profit” for take profit alerts to become active.
**********
Disclaimer
Copyright by wbburgin.
The information contained in my Scripts/Indicators/Algorithms does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
**********
Notes on the Strategy Performance below: This is 3% of equity per trade, with a pyramiding number of 3. I did not include fees because Binance US on Bitcoin/USD does not charge fees on the instrument; however, I heavily encourage you to include fees in your backtesting if you use a different brokerage. To mitigate fees, this strategy is designed with a high average %/trade. If your current fees are greater than the strategy's average %/trade, I encourage you to choose a higher RSI period, such as 14 or 28, which will result in less trades but potentially a higher %/trade.
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
J12Matic Builder by galgoomA flexible Renko/tick strategy that lets you choose between two entry engines (Multi-Source 3-way or QBand+Moneyball), with a unified trailing/TP exit engine, NY-time trading windows with auto-flatten, daily profit/loss and trade-count limits (HALT mode), and clean webhook routing using {{strategy.order.alert_message}}.
Highlights
Two entry engines
Multi-Source (3): up to three long/short sources with Single / Dual / Triple logic and optional lookback.
QBand + Moneyball: Gate → Trigger workflow with timing windows, OR/AND trigger modes, per-window caps, optional same-bar fire.
Unified exit engine: Trailing by Bricks or Ticks, plus optional static TP/SL.
Session control (NY time): Evening / Overnight / NY Session windows; auto-flatten at end of any enabled window.
Day controls: Profit/Loss (USD) and Trade-count limits. When hit, strategy HALTS new entries, shows an on-chart label/background.
Alert routing designed for webhooks: Every order sets alert_message= so you can run alerts with:
Condition: this strategy
Notify on: Order fills only
Message: {{strategy.order.alert_message}}
Default JSONs or Custom payloads: If a Custom field is blank, a sensible default JSON is sent. Fill a field to override.
How to set up alerts (the 15-second version)
Create a TradingView alert with this strategy as Condition.
Notify on: Order fills only.
Message: {{strategy.order.alert_message}} (exactly).
If you want your own payloads, paste them into Inputs → 08) Custom Alert Payloads.
Leave blank → the strategy sends a default JSON.
Fill in → your text is sent as-is.
Note: Anything you type into the alert dialog’s Message box is ignored except the {{strategy.order.alert_message}} token, which forwards the payload supplied by the strategy at order time.
Publishing notes / best practices
Renko users: Make sure “Renko Brick Size” in Inputs matches your chart’s brick size exactly.
Ticks vs Bricks: Exit distances switch instantly when you toggle Exit Units.
Same-bar flips: If enabled, a new opposite signal will first close the open trade (with its exit payload), then enter the new side.
HALT mode: When day profit/loss limit or trade-count limit triggers, new entries are blocked for the rest of the session day. You’ll see a label and a soft background tint.
Session end flatten: Auto-closes positions at window ends; these exits use the “End of Session Window Exit” payload.
Bar magnifier: Strategy is configured for on-close execution; you can enable Bar Magnifier in Properties if needed.
Default JSONs (used when a Custom field is empty)
Open: {"event":"open","side":"long|short","symbol":""}
Close: {"event":"close","side":"long|short|flat","reason":"tp|sl|flip|session|limit_profit|limit_loss","symbol":""}
You can paste any text/JSON into the Custom fields; it will be forwarded as-is when that event occurs.
Input sections — user guide
01) Entries & Signals
Entry Logic: Choose Multi-Source (3) or QBand + Moneyball (pick one).
Enable Long/Short Signals: Master on/off switches for entering long/short.
Flip on opposite signal: If enabled, a new opposite signal will close the current position first, then open the other side.
Signal Logic (Multi-Source):
Single: any 1 of the 3 sources > 0
Dual: Source1 AND Source2 > 0
Triple (default): 1 AND 2 AND 3 > 0
Long/Short Signal Sources 1–3: Provide up to three series (often indicators). A positive value (> 0) is treated as a “pulse”.
Use Lookback: Keeps a source “true” for N bars after it pulses (helps catch late triggers).
Long/Short Lookback (bars): How many bars to remember that pulse.
01b) QBands + Moneyball (Gate -> Trigger)
Allow same-bar Gate->Trigger: If ON, a trigger can fire on the same bar as the gate pulse.
Trigger must fire within N bars after Gate: Size of the gate window (in bars).
Max signals per window (0 = unlimited): Cap the number of entries allowed while a gate window is open.
Buy/Sell Source 1 – Gate: Gate pulse sources that open the buy/sell window (often a regime/zone, e.g., QBands bull/bear).
Trigger Pulse Mode (Buy/Sell): How to detect a trigger pulse from the trigger sources (Change / Appear / Rise>0 / Fall<0).
Trigger A/B sources + Extend Bars: Primary/secondary triggers plus optional extension to persist their pulse for N bars.
Trigger Mode: Pick S2 only, S3 only, S2 OR S3, or S2 AND S3. AND mode remembers both pulses inside the window before firing.
02) Exit Units (Trailing/TP)
Exit Units: Choose Bricks (Renko) or Ticks. All distances below switch accordingly.
03) Tick-based Trailing / Stops (active when Exit Units = Ticks)
Initial SL (ticks): Starting stop distance from entry.
Start Trailing After (ticks): Start trailing once price moves this far in your favor.
Trailing Distance (ticks): Offset of the trailing stop from peak/trough once trailing begins.
Take Profit (ticks): Optional static TP distance.
Stop Loss (ticks): Optional static SL distance (overrides trailing if enabled).
04) Brick-based Trailing / Stops (active when Exit Units = Bricks)
Renko Brick Size: Must match your chart’s brick size.
Initial SL / Start Trailing After / Trailing Distance (bricks): Same definitions as tick mode, measured in bricks.
Take Profit / Stop Loss (bricks): Optional static distances.
05) TP / SL Switch
Enable Static Take Profit: If ON, closes the trade at the fixed TP distance.
Enable Static Stop Loss (Overrides Trailing): If ON, trailing is disabled and a fixed SL is used.
06) Trading Windows (NY time)
Use Trading Windows: Master toggle for all windows.
Evening / Overnight / NY Session: Define each session in NY time.
Flatten at End of : Auto-close any open position when a window ends (sends the Session Exit payload).
07) Day Controls & Limits
Enable Profit Limits / Profit Limit (Dollars): When daily net PnL ≥ limit → auto-flatten and HALT.
Enable Loss Limits / Loss Limit (Dollars): When daily net PnL ≤ −limit → auto-flatten and HALT.
Enable Trade Count Limits / Number of Trades Allowed: After N entries, HALT new entries (does not auto-flatten).
On-chart HUD: A label and soft background tint appear when HALTED; a compact status table shows Day PnL, trade count, and mode.
08) Custom Alert Payloads (used as strategy.order.alert_message)
Long/Short Entry: Payload sent on entries (if blank, a default open JSON is sent).
Regular Long/Short Exit: Payload sent on closes from SL/TP/flip (if blank, a default close JSON is sent).
End of Session Window Exit: Payload sent when any enabled window ends and positions are flattened.
Profit/Loss/Trade Limit Close: Payload sent when daily profit/loss limit causes auto-flatten.
Tip: Any tokens you include here are forwarded “as is”. If your downstream expects variables, do the substitution on the receiver side.
Known limitations
No bracket orders from Pine: This strategy doesn’t create OCO/attached brackets on the broker; it simulates exits with strategy logic and forwards your payloads for external automation.
alert_message is per order only: Alerts fire on order events. General status pings aren’t sent unless you wire a separate indicator/alert.
Renko specifics: Backtests on synthetic Renko can differ from live execution. Always forward-test on your instrument and settings.
Quick checklist before you publish
✅ Brick size in Inputs matches your Renko chart
✅ Exit Units set to Bricks or Ticks as you intend
✅ Day limits/Windows toggled as you want
✅ Custom payloads filled (or leave blank to use defaults)
✅ Your alert uses Order fills only + {{strategy.order.alert_message}}
Martingale + Grid DCA Strategy [YinYangAlgorithms]This Strategy focuses on strategically Martingaling when the price has dropped X% from your current Dollar Cost Average (DCA). When it does Martingale, it will create a Purchase Grid around this location to likewise attempt to get you a better DCA. Likewise following the Martingale strategy, it will sell when your Profit has hit your target of X%.
Martingale may be an effective way to lower your DCA. This is due to the fact that if your initial purchase; or in our case, initial Grid, all went through and the price kept going down afterwards, that you may purchase more to help lower your DCA even more. By doing so, you may bring your DCA down and effectively may make it easier and quicker to reach your target profit %.
Grid trading may be an effective way of reducing risk and lowering your DCA as you are spreading your purchases out over multiple different locations. Likewise we offer the ability to ‘Stack Grids’. What this means, is that if a single bar was to go through 20 grids, the purchase amount would be 20x what each grid is valued at. This may help get you a lower DCA as rather than creating 20 purchase orders at each grid location, we create a single purchase order at the lowest grid location, but for 20x the amount.
By combining both Martingale and Grid DCA techniques we attempt to lower your DCA strategically until you have reached your target profit %.
Before we start, we just want to make it known that first off, this Strategy features 8% Commission Fees, you may change this in the Settings to better reflect the Commission Fees of your exchange. On a similar note, due to Commission Fees being one of the number one profit killers in fast swing trade strategies, this strategy doesn’t focus on low trades, but the ideology of it may result in low amounts of trades. Please keep in mind this is not a bad thing. Since it has the ability to ‘Stack Grid Purchases’ it may purchase more for less and result in more profit, less commission fees, and likewise less # of trades.
Tutorial:
In this example above, we have it set so we Martingale twice, and we use 100 grids between the upper and lower level of each martingale; for a total of 200 Grids. This strategy will take total capital (initial capital + net profit) and divide it by the amount of grids. This will result in the $ amount purchased per grid. For instance, say you started with $10,000 and you’ve made $2000 from this Strategy so far, your total capital is $12,000. If you likewise are implementing 200 grids within your Strategy, this will result in $12,000 / 200 = $60 per grid. However, please note, that the further down the grid / martingale is, the more volume it is able to purchase for $60.
The white line within the Strategy represents your DCA. As the Strategy makes purchases, this will continue to get lower as will your Target Profit price (Blue Line). When the Close goes above your Target Profit price, the Strategy will close all open positions and claim the profit. This profit is then reinvested back into the Strategy, which may exponentially help the Strategy become more profitable the longer it runs for.
In the example above, we’ve zoomed in on the first example. In this we want to focus on how the Strategy got back into the trades shortly after it sold. Currently within the Settings we have it set so our entry is when the Lowest with a length of 3 is less than the previous Lowest with a length of 3. This is 100% customizable and there are multiple different entry options you can choose from and customize such as:
EMA 7 Crossover EMA 21
EMA 7 Crossunder EMA 21
RSI 14 Crossover RSI MA 14
RSI 14 Crossunder RSI MA 14
MFI 14 Crossover MFI MA 14
MFI 14 Crossunder MFI MA 14
Lowest of X Length < Previous Lowest of X Length
Highest of X Length > Previous Highest of X Length
All of these entry options may be tailored to be checked for on a different Time Frame than the one you are currently using the Strategy on. For instance, you may be running the Strategy on the 15 minute Time Frame yet decide you want the RSI to cross over the RSI MA on the 1 Day to be a valid entry location.
Please keep in mind, this Strategy focuses on DCA, this means you may not want the initial purchase to be the best location. You may want to buy when others think it is a good time to sell. This is because there may be strong bearish momentum which drives the price down drastically and potentially getting you a good DCA before it corrects back up.
We will continue to add more Entry options as time goes on, and if you have any in mind please don’t hesitate to let us know.
Now, back to the example above, if we refer to the Yellow circle, you may see that the Lowest of a length of 3 was less than its previous lowest, this triggered the martingales to create their grids. Only a few bars later, the price went into the first grid and went a little lower than its midpoint (Yellow line). This caused about 60% of the first grid to be purchased. Shortly after the price went even lower into this grid and caused the entire first martingale grid to be purchased. However, if you notice, the white line (your DCA) is lower than the midpoint of the first grid. This is due to the fact that we have ‘Stack Grid Purchases’ enabled. This allows the Strategy to purchase more when a single bar crosses through multiple grid locations; and effectively may lower your average more than if it simply executed a purchase order at each grid.
Still looking at the same location within our next example, if we simply increase the Martingale amount from 2 to 3 we can see something strange happens. What happened is our Target Profit price was reached, then our entry condition was met, which caused all of the martingale grids to be formed; however, the price continued to increase afterwards. This may not be a good thing, sure the price could correct back down to these grid locations, but what if it didn’t and it just kept increasing? This would result in this Strategy being stuck and unable to make any trades. For this reason we have implemented a Failsafe in the Settings called ‘Reset Grids if no purchase happens after X bars’.
We have enabled our Failsafe ‘Reset Grids if no purchase happens after X bars’ in this example above. By default it is set to 100 bars, but you can change this to whatever works best for you. If you set it to 0, this Failsafe will be disabled and act like the example prior where it is possible to be stuck with no trades executing.
This Failsafe may be an important way to ensure the Strategy is able to make purchases, however it may also mean the Grids increase in price when it is used, and if a massive correction were to occur afterwards, you may lose out on potential profit.
This Strategy was designed with WebHooks in mind. WebHooks allow you to send signals from the Strategy to your exchange. Simply set up a Custom TradingView Bot within the OKX exchange or 3Commas platform (which has your exchange API), enter the data required from the bot into the settings here, select your bot type in ‘Webhook Alert Type’, and then set up the alert. After that you’re good to go and this Strategy will fully automate all of its trades within your exchange for you. You need to format the Alert a certain way for it to work, which we will go over in the next example.
Add an alert for this Strategy and simply modify the alert message so all it says is:
{{strategy.order.alert_message}}
Likewise change from the Alert ‘Settings’ to Alert ‘Notifications’ at the top of the alert popup. Within the Notifications we will enable ‘Webhook URL’ and then we will pass the URL we are sending the Webhook to. In this example we’ve put OKX exchange Webhook URL, however if you are using 3Commas you’ll need to change this to theirs.
OKX Webhook URL:
www.okx.com
3Commas Webhook URL:
app.3commas.io
Make sure you click ‘Create’ to actually create this alert. After that you’re all set! There are many Tutorials videos you can watch if you are still a little confused as to how Webhook trading works.
Due to the nature of this Strategy and how it is designed to work, it has the ability to never sell unless there it will make profit. However, because of this it also may be stuck waiting in trades for quite a long period of time (usually a few months); especially when your Target Profit % is 15% like in the example above. However, this example above may be a good indication that it may maintain profitability for a long period of time; considering this ‘Deep Backtest’ is from 2017-8-17.
We will conclude the tutorial here. Hopefully you understand how this Strategy has the potential to make calculated and strategic DCA Grid purchases for you and then based on a traditional Martingale fashion, bulk sell at the desired Target Profit Percent.
Settings:
Purchase Settings:
Only Purchase if its lower than DCA: Generally speaking, we want to lower our Average, and therefore it makes sense to only buy when the close is lower than our current DCA and a Purchase Condition is met.
Purchase Condition: When creating the initial buy location you must remember, you want to Buy when others are Fearful and Sell when others are Greedy. Therefore, many of the Buy conditions involve times many would likewise Sell. This is one of the bonuses to using a Strategy like this as it will attempt to get you a good entry location at times people are selling.
Lower / Upper Change Length: This Lower / Upper Length is only used if the Purchase Condition is set to 'Lower Changed' or 'Upper Changed'. This is when the Lowest or Highest of this length changes. Lowest would become lower or Highest would become higher.
Purchase Resolution: Purchase Resolution is the Time Frame that the Purchase Condition is calculated on. For instance, you may only want to start a new Purchase Order when the RSI Crosses RSI MA on the 1 Day, but yet you run this Strategy on the 15 minutes.
Sell Settings:
Trailing Take Profit: Trailing Take Profit is where once your Target Profit Percent has been hit, this will trail up to attempt to claim even more profit.
Target Profit Percent: What is your Target Profit Percent? The Strategy will close all positions when the close price is greater than your DCA * this Target Profit Percent.
Grid Settings:
Stack Grid Purchases: If a close goes through multiple Buy Grids in one bar, should we amplify its purchase amount based on how many grids it went through?
Reset Grids if no purchase happens after X Bars: Set this to 0 if you never want to reset. This is very useful in case the price is very bullish and continues to increase after our Target Profit location is hit. What may happen is, Target Profit location is hit, then the Entry condition is met but the price just keeps increasing afterwards. We may not want to be sitting waiting for the price to drop, which may never happen. This is more of a failsafe if anything. You may set it very large, like 500+ if you only want to use it in extreme situations.
Grid % Less than Initial Purchase Price: How big should our Buy Grid be? For instance if we bought at 0.25 and this value is set to 20%, that means our Buy Grid spans from 0.2 - 0.25.
Grid Amounts: How many Grids should we create within our Buy location?
Martingale Settings:
Amount of Times 'Planned' to Martingale: The more Grids + the More Martingales = the less $ spent per grid, however the less risk. Remember it may be better to be right and take your time than risk too much and be stuck too long.
Martingale Percent: When the current price is this percent less than our DCA, lets create another Buy Grid so we can lower our average more. This will make our profit location less.
Webhook Alerts:
Webhook Alert Type: How should we format this Alert? 3Commas and OKX take their alerts differently, so please select the proper one or your webhooks won't work.
3Commas Webhook Alerts:
3Commas Bot ID: The 3Commas Bot ID is needed so we know which BOT ID we are sending this webhook too.
3Commas Email Token: The 3Commas Email Token is needed for your webhooks to work properly as it is linked to your account.
OKX Webhook Alerts:
OKX Signal Token: This Signal Token is attached to your OKX bot and will be used to access it within OKX.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Premium Volatility Breakout Strategy [wbburgin]This the premium version of my Volatility Breakout strategy, which improves significantly on the original strategy (publicly available on my profile). Improvements are below. A note about any of my premium scripts: I will continue updating and improving the original (public) versions.
This strategy is not built for any specific asset or timeframe, and has been backtested on crypto, equities, and forex from 1min - 1day. However, I recommend using it on more volatile assets because it is a breakout strategy.
********** My Background
I am an investor, trader, and entrepreneur with 10 years of cryptocurrency and equity trading experience and founder of two fintech startups. I am a graduate of a prestigious university in the United States and carry broad and inclusive interests in mathematical finance, computer science, machine learning / artificial intelligence, as well as other fields.
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Improvements over the original Volatility Breakout strategy include:
Faster Trend Detection → The Premium Volatility Breakout strategy will catch trends faster by using adaptive volatility-weighted bands instead of standard-width volatility-weighted bands. This can improve win size and has performed well in my backtesting.
ADX Filter → False breakouts dampen the overall results of the original script, as well as the % profitable,so an ADX filter has been programmed into the script (toggle on/off in settings). This filter will only enter long and short trades when the ADX is above a certain threshold. This is by default toggled off because in most instances it will not be necessary, but in certain environments may be useful.
MA Configuration → Different types of moving averages and weights are now configurable in the settings. These can change the responsiveness of the strategy.
External Trend Filter → I use this strategy as a filter for some of my low-timeframe algorithms. I have added an external trend filter (a plot only displayed in the data window) that will return “1” when the trend is long and “-1” when the trend is short (displayed on-chart with red and green trend curves).
Customizable Alert Messages In-Strategy → In the settings, there will be text boxes where you can create your own alerts. All you will need to do is create an alert in the alert panel on TradingView and leave the message box blank - if you fill out the alert boxes in the settings, these will automatically populate into your alerts. There are in total four different customizable alerts messages: Entry and Exit alerts for both Long and Short sides. If you disable stop loss and/or take profit, these alerts will also be disabled. Similarly, if you disable shorts, all short alerts will be disabled.
About stop losses: This strategy does not come with a stop loss because the moving average acts as a stop loss / trade exit for both long and short entries.
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Display
You can turn off highlighting or barcolor in the settings. Additionally, future updates may include a color scheme for users using a light-themed window.
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Configuring Alerts
In TradingView desktop, go to the ‘Alerts’ tab on the right panel. Click the “+” button to create a new alert. Select this strategy for the condition and one of the two options that includes alert() function calls. Name the alert what you wish and clear the default message, because your text in the settings will replace this message.
Now that the alert is configured, you can go to the settings of the strategy and fill in your chosen text for the specific alert condition. You will need to check “Long and Short” in the “Trade Direction” setting in order for any Short Alerts to become active.
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Disclaimer
Copyright by wbburgin.
The information contained in my Scripts/Indicators/Algorithms does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Auto Harmonic Pattern - Backtester [Trendoscope]We are finally here with the implementation of backtesting tool for Auto-Harmonic-Pattern-UltimateX .
CAUTION: THIS IS NOT A STRATEGY AND SHOULD NOT BE FOLLOWED BLINDLY. WE ENCOURAGE USERS TO UTILISE THIS AS BACKTESTING TOOL FOR BUILDING THEIR STRATEGY BASED ON HARMONIC PATTERNS
This script is based on our premium indicator - Auto-Harmonic-Pattern-UltimateX . In this script, along with implementation of scanning harmonic patterns, we provide various options via settings which enables users to build their own strategy based on harmonic patterns, use them with custom coded filters, backtest them on various tickers and timeframes.
Harmonic Patterns is concept and we can trade harmonic pattern in many ways. While general interest around harmonic patterns is to find reversal zones and use them for short term swing trades. But, using it along trend following strategies can also be very rewarding. Here is one of the educational idea I shared about using harmonic patterns for trend following. These are just few possibilities where users can explore further on how they want to trade this. The settings of this script are crafted in such a way that it enables users to explore all these possibilities.
🎲 Components
Chart components of this script is lighter compared to Auto Harmonic Pattern - UltimateX. This is because we want to keep lighter interface in order to support seamless execution of emulator. Since pine strategy framework does most of the things such as calculating profitability, keeping track of trades and results etc, display with respect to - "Closed Trade Stats" are removed from this script and "Open Trade Stats" are made lighter.
🎲 Settings
🎯 Trade Settings : Few important settings under this section are
Due to pine limitations, we will not be able to support both long and short in a same setup. Hence, users need to chose either long or short trade setup.
Entry/Base/Target play important role in defining your strategy.
Confluence is another important factor which lets users use multiple patterns at once as confirmation.
🎯 Zigzag Settings : Zigzag settings determine the size of patterns being formed.
Please note that smaller patterns may not yield very good results and larger patterns may take time to complete trade. Similarly higher depth can cause runtime issues. Recursive zigzag option is alternative to deep search algorithm.
🎯 Filters :
Filters enable users to select trades based on specific conditions. Ability to use external filter even allows writing and using custom filters to be used with this algorithm. Here is a video which explains how this can be done. HOW-TO-Use-external-filters
Pattern filters allow users to pick and chose patterns they want to trade. This can be done either individually or based on category
🎯 Alerts :
Apart from strategy specific alerts, the script also implements customisable alerts via pine alert() function. Alerts can be configured to send upon three conditions
When new pattern is created
When an existing pattern updates entry/stop/target due to safe repaint of D (Only happens when Trail Entry Price is selected)
When a pattern in trade closes either due to hitting stop or target
Important Note: Alerts fired via this method may not match the trades shown on chart as trades which are controlled via pine strategy emulator depends on various other factors such as pyramiding.
Alert template is customisable and users can make use of available placeholders to get dynamic data in alerts. Valid placeholders are
{alertType} - Alert type - New/Update/Close
{id} - Pattern Id
{ticker} - Ticker
{timeframe} - Chart timeframe
{price} - Current price
{patterns} - Identified pattern names
{direction} - Direction - Long/Short
{entry} - Entry Price
{stop} - Stop Price
{target} - Target Price
{orderType} - Limit/Stop - applicable for only New and Update types
{status} - Trade status. Valid values are Pending/Cancelled/Stopped/Success
Template is common for all custom alert types. Hence, updating the template will impact all custom alerts - New/Update/Close
{
"alert" : "{alertType}",
"id" : {id},
"ticker" : "{ticker}",
"timeframe" : "{timeframe}",
"price" : {price},
"patterns" : "{patterns}",
"direction" : "{direction}",
"entry" : {entry},
"stop" : {stop},
"target" : {target},
"orderType" : {orderType}
"status" : {status}
}
Here is a video on how to customise the alerts using templates and placeholders - HOW-TO-Customize-Alerts-With-Placeholders
🎯 Miscellaneous :
These are simple settings to control display and backtest bars. If you are running alerts, we suggest turning of Open Trades and Drawings and limit backtest to minimal value in order to improve efficiency of
🎯 Backtest Engine Parameters :
Default settings are optimised for trend following. Users are encouraged to play around with settings and filters to build strategy out of this tool.
Position sizing is not leveraged. Margin settings makes sure that trades cannot exceed capital.
All measures are taken to avoid repainting. Script does not use request.security and real time bars. This drastically reduces the risk of repainting in scripts.
If you are premium user, please select "Bar Magnifier".
FreedX Backtest Plus█ Our new FreedX Backtest PLUS template enhances TradingView backtesting with smart features like Mean Reversion, Flexible Volatility, Liquidation Filter, and Better Trend Filtering, making strategies more effective. It lets users set up automated alerts easily. This guide explains how to make the most of these improved features.
The Trading Date Settings feature in our TradingView script allows you to refine their backtesting parameters by specifying trading dates and hours. This feature enhances the accuracy of the backtest by aligning it with specific time frames and days, ensuring that the strategy is tested under relevant market conditions.
Features:
⚙️ Enable Trading Between Specific Dates:
🎯 Purpose:
→ Allows you to limit the backtesting of their strategy to a specific date range.
💡 How to Use:
→ Input the Start Date and End Date for the backtest period.
→ The script will execute the strategy only within this specified date range.
⚙️ Enable Trading Between Specific Hours:
🎯 Purpose:
→ Allows you to limit the backtesting of their strategy to a specific hour range.
💡 How to Use:
→ Input the start and end hour for in Trading Session section.
→ The script will execute the strategy only within this specified hour range.
⚙️ Enable Trading on Specified Days of the Week:
🎯 Purpose:
→ Gives you the option to conduct backtesting on selected days of the week, tailoring the strategy to particular market behaviours that may occur on these days.
💡 How to Use:
→ Select the days of the week for the backtest.
→ The script will activate the trading strategy only on these chosen days.
█ BUY/SELL TRIGGER SETTINGS
The Buy/Sell Trigger Settings feature is designed to provide users with flexibility in defining the conditions for 'LONG' and 'SHORT' signals based on various indicator types. This customization is crucial for tailoring strategies to different trading styles and market conditions.
Features:
⚙️ Single-Line Plotted Indicators :
🎯 Purpose:
→ Enables you to select a single-line plotted indicator as a source for backtesting. You can define specific levels to trigger 'LONG' or 'SHORT' signals.
💡 How to Use:
→ Choose a Single-Line Plotted indicator as the source.
→ Set the top and bottom levels for the indicator.
→ The script triggers 'LONG' signals at the bottom level and 'SHORT' signals at the top level.
⚙️ Two-Line Plotted Indicators :
🎯 Purpose:
→ Allows backtesting with two-line cross plot sources. Signals are generated based on the crossover of these lines.
💡 How to Use:
→ Select two lines as 'Source 1' and 'Source 2' for the indicator.
→ The script triggers a 'LONG' signal when 'Source 1' crosses above 'Source 2'.
→ Conversely, a 'SHORT' signal is triggered when 'Source 2' crosses above 'Source 1'.
⚙️ Custom Signals :
🎯 Purpose:
→ This setting enables users to define their own criteria for LONG, SHORT, and CLOSE signals based on custom indicator outputs.
💡 How to Use:
→ Select the custom source for your signals.
→ Define the output values that correspond to each signal type (e.g., “1” for 'LONG', “-1” for SHORT, and “0” for CLOSE).
→ The script will trigger signals according to these custom-defined values.
█ TP/SL SETTINGS
The TP/SL (Take Profit/Stop Loss) Settings feature is designed to give users control over their profit securing and risk mitigation strategies. This feature allows for setting custom TP and SL levels, which can be critical in managing trades effectively.
Features:
Custom TP/SL Levels for Long/Short Signals:
🎯 Purpose:
→ Enables users to set specific percentage levels for Take Profit and Stop Loss on long and short signals.
💡 How to Use:
→ In the TP/SL Settings, input the desired percentage for Take Profit (TP) and Stop Loss (SL).
→ For example, to secure a profit at a 10% price increase on LONG signals, set the “Long TP Percentage” to “10”.
█ STRATEGY SETTINGS
Strategy Settings provide a range of options to customize the trading strategy. These settings include leverage, position direction changes, and more, allowing users to tailor their strategy to their risk tolerance and market view.
Features:
⚙️ Enable Reverse Position:
🎯 Purpose:
→ Automatically closes a current position and opens a new one in the opposite direction upon detecting a signal for a market trend change.
🎯 Example:
→ If a LONG signal is received while in a SHORT position, the script will close the SHORT position and open a LONG position.
💡 How to Use:
→ Activate this feature in the Strategy Settings.
⚙️ Enable Spot Mode:
🎯 Purpose:
→ Disables short orders, using short signals only for closing long positions.
💡 How to Use:
→ Select the 'Spot Mode' option in the Strategy Settings.
⚙️ Enable Invert Signals:
🎯 Purpose:
→ Inverts all indicator signals, changing LONG signals to SHORT and vice versa.
💡 How to Use:
→ Opt for the 'Invert Signals' feature in the Strategy Settings.
⚙️ Enable Trailing Stop:
🎯 Purpose:
→ Triggers a trailing stop order on the exchange instead of a standard stop market order.
☢️ Caution:
→ The backtesting of this feature on TradingView may not accurately reflect actual strategy performance due to discrepancies between TradingView and exchange mechanisms.
💡 How to Use:
→ Select 'Trailing Stop' in the Strategy Settings.
⚙️ Enable Realistic TP & SL:
🎯 Purpose:
→ Goal is protect the user from unrealistic stop loss and take profit prices in live exchange trading conditions.
→ That feature continuously checks the take profit, stop loss and move stop loss prices to prevent unrealistic values. It changes their values according to (minimum realistic percent %)
💡 How to Use:
→ Select 'Enable Realistic TP & SL' in the Strategy Settings. Write min allowed percents.
█ LIMITER SETTINGS
Limiter Settings provide a range of options to customize the trading strategy. These settings include drawdown limits,contract limit, tradable ratio, for allowing users to tailor their strategy to their risk tolerance and market view.
⚙️ Leverage :
🎯 Purpose:
→ Allows users to apply leverage to their trades.
☢️ Caution:
→ High leverage can significantly increase the risk of liquidation.
→ High leverage and a high stop-loss price may override your fixed stoploss percentage, adjusting the stop-loss to the liquidation price.
💡 How to Use:
→ Set the desired leverage ratio in the Strategy Settings.
⚙️ Drawdown Limit:
🎯 Purpose:
→ Sets a maximum drawdown limit, automatically halting the strategy if this limit is reached, thereby controlling risk.
💡 How to Use:
→ Input the maximum drawdown limit (default: 100, min: 0, max: 100).
⚙️ Contract Limit:
🎯 Purpose:
→ Sets a maximum contract limit, beyond which the compound effect cannot be used. This is important to prevent market manipulation through large-volume orders.
💡 How to Use:
→ Input the maximum contract limit (min: 0).
⚙️ Tradable Ratio:
🎯 Purpose:
→ Sets a tradable ratio, it uses that ratio calculating entry cost for position. Main purpose is cash-out and cash-in according to balance change.
💡 How to Use:
→ Input the tradable ratio percent (default: 98, min: 0.1, max: 100).
█ CASH-OUT SETTINGS
Cash-Out Settings offer a money-saving mechanism that prevents entering positions with the entire balance due to cashed-out funds. It functions with a webhook alerts, but the 'Override Allocation %' option must be enabled.
⚙️ Cash-out Threshold %:
🎯 Purpose:
→ It is cash-out mechanism, it saves money with a target threshold.
💡 How to Use:
→ Input the threshold (min: 0).
⚙️ Cash-out Per Profitable Trades %:
🎯 Purpose:
→ It is cash-out mechanism, it saves money from every trade with a percent like commission.
💡 How to Use:
→ Input save percent% (min: 0).
█ ADAPTIVE VOLATILITY STRATEGY SETTINGS
Advanced Strategy Settings offer sophisticated methods for managing Stop Loss (SL) and Take Profit (TP) using the Average True Range (ATR). These settings are ideal for traders who want to incorporate volatility into their exit strategies.
Features:
⚙️ Enable ATR Stop Loss:
🎯 Purpose:
→ Automatically sets the Stop Loss price using the Average True Range at the time of entry.
💡 How to Use:
→ Activate 'ATR Stop Loss' to have the SL price calculated based on the current ATR.
⛓ Enable ATR Trailing Stop:
→ Dynamically updates the Stop Loss price with each new bar, according to the Average True Range.
→ Activate 'ATR Trailing Stop'.
→ Set the ATR Period to define the number of bars for ATR calculation.
→ Adjust the ATR SL Multiplier to determine the stop loss distance.
→ Modify the ATR TP Multiplier for setting the take profit distance.
⚙️ Enable ATR Take Profit:
🎯 Purpose:
→ Sets the Take Profit price based on the Average True Range at the time of entry.
💡 How to Use:
→ Choose 'ATR Take Profit' for TP price determination using ATR.
⚙️ Enable ATR Limit Entry:
🎯 Purpose:
→ Trade can not open in candle close price. Price should hit target price that based on average true range value.
💡 How to Use:
→ Choose 'ATR Limit Entry' for entry price determination using ATR.
⛓ Enable ATR Limit Entry Trailing Price:
→ Dynamically updates the entry price with each new bar, according to the Average True Range.
→ Activate 'ATR Limit Entry Trailing Price'.
→ Set the ATR Period to define the number of bars for ATR calculation.
→ Adjust the ATR SL Multiplier to determine the stop loss distance.
→ Modify the ATR TP Multiplier for setting the take profit distance.
█ TREND FILTERING SETTINGS
Trend Filtering Settings are designed to align trading strategies with the prevailing market trend, enhancing the precision of trade entries and exits. These settings utilize moving averages for trend analysis and decision-making.
Features:
⚙️ Enable Moving Average Filtering:
🎯 Purpose:
→ Limits trades based on moving average trends, blocking short trades in an uptrend and vice versa.
💡 How to Use:
→ Enable 'Trend Filtering'.
→ Set Fast and Slow MA Lengths for trend analysis.
→ Select the Timeframe for moving averages.
→ Choose the Moving Average Type for trend filtering.
🎯 Note:
→ Be cautious with timeframe selections; lower timeframes than the base may cause inconsistencies.
⛓ Exit on Trend Reversal:
→ Automatically closes a position when a market trend reversal is detected.
→ Turn on 'Exit on Trend Reversal' in the settings.
⛓ Ignore Counter Signals:
→ Ignores counter signals during trending market way.
→ If the trend way is long. All short signals will ignore and vice versa.
⛓ Enable Drawing On Chart:
→ Visually represents the trend filter directly on the chart for easy reference.
→ Activate 'Drawing On Chart' to see the trend filter overlaid on the trading chart.
⚙️ Enable Adx Filtering:
🎯 Purpose:
→ Limits trades based on adx value, blocking trades if trend strength is not enough or vice versa for invert mode.
💡 How to Use:
→ Enable 'Adx Filtering'.
→ Set Smoothing and Lengths for adx trend analysis.
→ Select level barrier for trend strength.
⚙️ Enable Custom Filtering:
🎯 Purpose:
→ Limits trades based on custom sources, blocking trades according to custom trades.
💡 How to Use:
→ Enable 'Custom Filtering'.
→ Select fast source.
→ Select slow source.
→ Enable lag mode.
█ MEAN REVERSION FILTERING SETTINGS
Mean Reversion Filtering Settings are designed to align trading strategies during accumulation market conditions. They set a distance from a line to permit trading. The purpose is to ensure that when the price strays too far from the mean line, it should revert back. In accumulation markets, price movements are generally horizontal. In such situations, mean reversion will operate like a grid, enabling profitable trades with low drawdown. However, when the market structure begins to trend, mean reversion filters may not be as profitable as in accumulation markets. For instance, let's say the price is rising and we are shorting the market until it reaches the mean price line. As the price goes up and the mean also rises, we will end up closing the position at a higher price, rendering the mean reversion system non-profitable. Therefore, consider this filter wisely; greater distances might work better in trending markets.
Features:
⚙️ Enable Kairi Filter:
🎯 Purpose:
→ Blocks trades based on distance percent between price and moving average.
💡 How to Use:
→ Enable 'Kairi Filter'.
→ Set Length and Distance Percent.
⛓ Enable Trend Drawing On Chart:
→ Visually represents the trend filter directly on the chart for easy reference.
→ Enable 'Drawing On Chart' to see the allowed regions overlaid on the trading chart with arrows.
⚙️ Enable VWAP Filter:
🎯 Purpose:
→ Blocks trades based on distance percent between price and volume weighted average price.
💡 How to Use:
→ Enable 'VWAP Filter'.
→ Set Timeframe as minutes and distance as percent.
⛓ Exit on Crossing with VWAP:
→ Automatically closes a position when the closing price of a candle crosses the VWAP.
→ Choose "Enable", 'Exit on Crossing with VWAP' in the settings.
⛓ Enable Drawing On Chart:
→ Visually represents the trend filter directly on the chart for easy reference.
→ Enable 'Drawing On Chart' to see the allowed regions overlaid on the trading chart with arrows.
█ LIQUIDATION FILTER SETTINGS
Liquidation filter compares the volume data of futures and spot markets.
Large differences in volume indicate unexpected market conditions, such as massive trading activities, which may signal liquidations.
Features:
⚙️ Enable Liquidation Filter:
🎯 Purpose:
→ Blocks trades based on extra ordinary volume differences in spot and futures market.
💡 How to Use:
→ Enable 'Liquidation Filter'.
→ Set behavior to react during that market conditions.
→ Set base amount to filter volume. This amount changes according to timeframe, you should find right amounts.
→ Liquidation candle count means, it is sum of liquidated candle count in last 20 bars.If you set 0, it means feature is disabled.
→ Detection, try to select the spot and perpetual symbols automatically, symbol names varies, it do not support all symbols, you should choose manually in that situation.
█ AUTOMATED ALERT SETTINGS
Automated Alert Settings are designed to integrate your TradingView script with webhook alerts. These settings allow for enhanced strategy execution and management.
Features:
Enable Webhook Alerts:
🎯 Purpose:
→ Trigger BUY, SELL, CHANGE_DIRECTION or MOVE_STOP_LOSS .
💡 How to Use:
→ Enable 'Webhook Alerts' in the settings.
→ Enter your Strategy Key.
→ Optionally, activate 'Override Allocation Percentage' to bypass the preset allocation percentage.
☢️ Caution:
→ Overriding the allocation percentage may result in trade entry errors due to misalignment between entry cost and available balance.
Enable Custom Alerts:
🎯 Purpose:
→ User can produce unique messages for different purposes.
💡 How to Use:
→ Enable 'Custom Alerts' in the settings.
→ Enter your message format type.
█ DEBUGGING SETTINGS
Debugging Settings are crucial for users who want to analyze and optimize their strategies. These settings provide tools for visualizing alerts on charts and accessing detailed data outputs.
Features:
⚙️ Enable Alert Plotting:
🎯 Purpose:
→ Allows users to visualize trading alerts directly on the chart, aiding in strategy analysis and refinement.
💡 How to Use:
→ Activate 'Alert Plotting' to draw alerts on the chart.
☢️ Caution:
→ It is recommended to disable this feature when creating actual trading alerts, as it can cause latency in signal processing.
⚙️ Enable Debugger Mode:
🎯 Purpose:
→ Facilitates strategy debugging by providing detailed data output in the TradingView Data Window.
💡 How to Use:
→ Turn on 'Debugger Mode' to access real-time data and metrics relevant to your strategy.
⚙️ Enable Table:
🎯 Purpose:
→ Facilitates strategy debugging by providing detailed data output in the TradingView Table on chart.
💡 How to Use:
→ Turn on 'Table' to access last closed candle data and metrics relevant to your strategy.
█ ADDITIONAL SETTINGS
⚙️ Enable Bar Magnifier
⚙️ Enable Using standard OHLC
SignalCAVE Strategy BuilderYou can create strategies without writing single line of Pine Script code!
Do backtesting, set alerts and explore algorithmic trading with using SignalCAVE Strategy Builder on TradingView.
SignalCAVE Strategy Builder for TradingView
SignalCAVE is a tool that help you to create strategies in TradingView. SignalCAVE offers flexible strategy builder panel enabling users to backtest and set alerts with custom conditions (selected indicators and parameters).
CAPABILITIES
You can define rules and conditions for “Long” and “Short” signals.
“Stop Loss” or “Take Profit” functions can be activated with providing percentage values.
“Only Long”, “Only Short” or both “Long and Short” signals can be used at the same time.
Available Indicators
EMA, SMA, WMA, HMA, RSI, MACD, Stochastic, Bollinger Bands, SuperTrend, Parabolic SAR, DMI, ATR, CCI, CMF, ROC, Ichimoku, OHLC Prices
How to Set Strategy Rules?
On SignalCAVE strategy settings screen, there are four types of input groups. You can populate these input boxes based on your strategy.
A: First indicator’s parameter and index value selection area
First Input: First indicator selection.
Second Input: First indicator’s parameter selection. If you want to use default parameters, select “Default Parameters”. If you want to use custom parameters, select “Custom Parameters”. If your selection was custom, then you need to fill “P:A” input boxes to assign your custom parameter.
Third Input: First indicator’s index selection. Default parameter is “0”, If you want to get previous value of indicator/price, you can type positive numbers.
?: Condition and Interval selection area.
You can select “Upper (>), Lower (<), Upper or Equal (>=), Lower or Equal (<=), CrossOver (⬆), CrossUnder (⬇)” conditions and time frame interval for calculation both first (A:) and second (B:) indicator.
B: Second indicator’s parameter and index value selection area
First Input: Second indicator selection.
Second Input: Second indicator’s parameter selection. You may use either default parameters, or custom parameters. If your selection was custom, then you need to fill “P:B” input boxes to assign your custom parameter.
Third Input: Second indicator’s index selection. Default parameter is “0”, If you want to get previous values of indicator/price, you can type positive numbers.
P:A First indicator’s custom parameter settings. If selected indicator has less then four parameters, you can fill unnecessary fields with “0” value.
P:B Second indicator’s custom parameter settings. If selected indicator has less then four parameters, you can fill unnecessary fields with “0” value.
DASHBOARD
After you build the strategy with SignalCAVE, you can see rules and conditions on dashboard with chart view screen.
Hint: By adding multiple times of SignalCAVE strategy on your chart screen, you can build more then one strategy.
STRATEGY TESTER / BACKTEST RESULTS
You can see strategy backtest results from “Strategy Tester” panel.
By changing parameters or strategy rules (strategy optimization), you may get better results. These results does not guarantee a success for future trades.
ALERT SETTINGS
If you want to get notify about your strategy outputs (Long Entry, Long Exit, Short Entry, Short Exit, Stop, Take Profit) you can set an “Alert”.
You can click “Alert” button to create a new alert. Make sure on “Conditions” selection must be “SignalCAVE” strategy.
Paste to “Message” field exactly the text below.
{{strategy.order.alert_message}}
Hint: By setting a single alarm, you can get notifications for all outputs.
Do your alerts modifies when you change the strategy conditions or parameters?
While the strategy got updated, its alerts still use the strategy’s state from the time when we made the alert (TradingView Wiki, 2018b).
This has the advantage that, once we made a script alert, we can change the script’s input options, change chart settings, or remove the script from to the chart. All of that won’t affect our existing alert. That gives a lot of flexibility to keep interacting with the chart and script.
But there’s also a disadvantage: if we do want our script’s alerts to change, we first need to remove the existing alerts. Then we have to create and configure new alerts based on the indicator’s updated code or settings.
XPloRR S&P500 Stock Market Crash Detection Strategy v2XPloRR S&P500 Stock Market Crash Detection Strategy v2
Long-Term Trailing-Stop strategy detecting S&P500 Stock Market Crashes/Corrections and showing Volatility as warning signal for upcoming crashes
Detecting or avoiding stock market crashes seems to be the 'Holy Grail' of strategies.
Since none of the strategies that I tested can beat the long term Buy&Hold strategy, the purpose was to detect a stock market crash on the S&P500 and step out in time to minimize losses and beat the Buy&Hold strategy. So beat the Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade.
With the default parameters the strategy generates 10262% profit (starting at 01/01/1962 until release date), with 10 closed trades, 100% profitable, while the Buy&Hold strategy only generates 3633% profit, so this strategy beats the Buy&Hold strategy by 2.82 times !
Also the strategy detects all major S&P500 stock market crashes and corrections since 1962 depending on the Trailing Stop Smoothness parameter, and steps out in time to cut losses and steps in again after the bottom has been reached. The 5 major crashes/corrections of 1987, 1990, 2001, 2008 and 2010 were successfully detected with the default parameters.
The script was first released on November 03 2019 and detected the Corona Crash on March 04 2020 with a Volatility crash-alert and a Sell crash-alert.
I have also created an Alerter Study Script based on the engine of this script, which generates Buy, Sell and Volatility signals.
If you are interested in this Alerter version script, please drop me a mail.
The script shows a lot of graphical information:
the Close value is shown in light-green. When the Close value is temporarily lower than the Buy value, the Close value is shown in light-red. This way it is possible to evaluate the virtual losses during the current trade.
the Trailing Stop value is shown in dark-green. When the Sell value is lower than the Buy value, the last color of the trade will be red (best viewed when zoomed)
the EMA and SMA values for both Buy and Sell signals are shown as colored graphs
the Buy signals are labeled in blue and the Sell signals are labeled in purple
the Volatility is shown below in green and red. The Alert Threshold (red) is default set to 2 (see Volatility Threshold parameter below)
How to use this Strategy?
Select the SPX (S&P500) graph and add this script to the graph.
Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters), then keep using these parameters for future Buy/Sell signals on the S&P500.
More trades don't necessarily generate more overall profit. It is important to detect only the major crashes and avoid closing trades on the smaller corrections. Bearing the smaller corrections generates a higher profit.
Watch out for the Volatility Alerts generated at the bottom (red). The Threshold can by changed by the Volatility Threshold parameter (default=2% ATR). In almost all crashes/corrections there is an alert ahead of the crash.
Although the signal doesn't predict the exact timing of the crash/correction, it is a clear warning signal that bearish times are ahead!
The correction in December 2018 was not a major crash but there was already a red Volatility warning alert. If the Volatility Alert repeats the next weeks/months, chances are higher that a bigger crash or correction is near. As can be seen in the graphic, the deeper the crash is, the higher and wider the red Volatility signal goes. So keep an eye on the red flag!
Here are the parameters:
Fast MA Buy: buy trigger when Fast MA Buy crosses over the Slow MA Buy value (use values between 10-20)
Slow MA Buy: buy trigger when Fast MA Buy crosses over the Slow MA Buy value (use values between 21-50)
Minimum Buy Strength: minimum upward trend value of the Fast MA Buy value (directional coefficient)(use values between 10-100)
Fast MA Sell: sell trigger when Fast MA Sell crosses under the Slow MA Sell value (use values between 10-20)
Slow MA Sell: sell trigger when Fast MA Sell crosses under the Slow MA Sell value (use values between 21-50)
Minimum Sell Strength: minimum downward trend value of the Fast MA Sell value (directional coefficient)(use values between 10-100)
Trailing Stop ATR: trailing stop % distance from the smoothed Close value (use values between 2-20)
Trailing Stop Smoothness: MA value for smoothing out the Trailing Stop close value
Buy On Start Date: force Buy on start date even without Buy signal (default: true)
Sell On End Date: force Sell on end date even without Sell signal (default: true)
Volatility EMA Period: MA value of the Volatility value (default 15)
Volatility Threshold: Threshold value to change volatility graph to red (default 2)
Volatility Graph Scaler: Scaling of the volatility graph (default 5)
Important : optimizing and using these parameters is no guarantee for future winning trades!
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic
This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail.
1. General Description
Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions.
Key Features:
Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes.
Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses.
Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes.
Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold).
Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle).
Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results).
Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio.
Strategy Settings:
Initial capital: $10,000.
Pyramiding: Up to 3 positions.
Position size: 10% of equity (default_qty_value=10).
Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management.
Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading.
2. Working Logic (Step by Step)
The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works:
a. Input Parameters
The inputs are grouped for clarity:
Herd Behavior (🐑):
RSI Period (14): For overbought/oversold detection.
Volume MA Period (20): To calculate average volume for spike detection.
Herd Threshold (2.0): Volume multiplier for detecting herd activity.
Liquidity Analysis (💧):
Liquidity Lookback (50): Bars to check for recent highs/lows.
Liquidity Sensitivity (1.5): Volume multiplier for trap detection.
Institutional Flow (🏦):
Institutional Volume Multiplier (2.5): For detecting large volume spikes.
Institutional MA Period (21): For Accumulation/Distribution smoothing.
Nash Equilibrium (⚖️):
Nash Period (100): For calculating price mean and standard deviation.
Nash Deviation (0.02): Multiplier for equilibrium bands.
Risk Management (🛡️):
Use Stop-Loss (true): Enables SL at 2% below/above entry price.
Use Take-Profit (true): Enables TP at 5% above/below entry price.
b. Herd Behavior Detection
RSI (14): Checks for extreme conditions:
Overbought: RSI > 70 (potential herd buying).
Oversold: RSI < 30 (potential herd selling).
Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold).
Momentum: Price change over 10 bars (close - close ) compared to its SMA(20).
Herd Signals:
Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background).
Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background).
c. Liquidity Trap Detection
Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback).
Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones.
Trap Conditions:
Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5).
Down Trap: Price breaks recent low, closes above it, with a volume spike.
Visualization: Traps are marked with small red/green crosses above/below bars.
d. Institutional Flow Analysis
Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity.
Accumulation/Distribution (AD):
Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time.
Smoothed with SMA(21) (inst_ma_length).
Accumulation: AD > MA + high volume = Institutions buying.
Distribution: AD < MA + high volume = Institutions selling.
Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying.
e. Nash Equilibrium
Calculation:
Price mean: SMA(100) (nash_period).
Standard deviation: stdev(100).
Upper Nash: Mean + StdDev x 0.02 (nash_deviation).
Lower Nash: Mean - StdDev x 0.02.
Conditions:
Near Equilibrium: Price between upper and lower Nash bands (stable market).
Above Nash: Price > upper band (overbought, sell potential).
Below Nash: Price < lower band (oversold, buy potential).
Visualization: Orange line (mean), red/green lines (upper/lower bands).
f. Game Theory Signals
The strategy generates three types of signals, combined into long/short triggers:
Contrarian Signals:
Buy: Herd selling + (accumulation or down trap) = Go against retail panic.
Sell: Herd buying + (distribution or up trap).
Momentum Signals:
Buy: Below Nash + positive smart money + no herd buying.
Sell: Above Nash + negative smart money + no herd selling.
Nash Reversion Signals:
Buy: Below Nash + rising close (close > close ) + volume > MA.
Sell: Above Nash + falling close + volume > MA.
Final Signals:
Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy.
Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell.
g. Position Management
Position Sizing (Minimax Principle):
Default: 1.0 (10% of equity).
In Nash equilibrium: Reduced to 0.5 (conservative).
During institutional volume: Increased to 1.5 (aggressive).
Entries:
Long: If long_signal is true and no existing long position (strategy.position_size <= 0).
Short: If short_signal is true and no existing short position (strategy.position_size >= 0).
Exits:
Stop-Loss: If use_sl=true, set at 2% below/above entry price.
Take-Profit: If use_tp=true, set at 5% above/below entry price.
Pyramiding: Up to 3 concurrent positions allowed.
h. Visualization
Nash Bands: Orange (mean), red (upper), green (lower).
Background Colors:
Herd buying: Red (90% transparency).
Herd selling: Green.
Institutional volume: Blue.
Signals:
Contrarian buy/sell: Green/red triangles below/above bars.
Liquidity traps: Red/green crosses above/below bars.
Tables:
Game Theory Table (Top-Right):
Herd Behavior: Buying frenzy, selling panic, or normal.
Institutional Flow: Accumulation, distribution, or neutral.
Nash Equilibrium: In equilibrium, above, or below.
Liquidity Status: Trap detected or safe.
Position Suggestion: Long (green), Short (red), or Wait (gray).
Backtest Table (Bottom-Right):
Total Trades: Number of closed trades.
Win Rate: Percentage of winning trades.
Net Profit/Loss: In USD, colored green/red.
Profit Factor: Gross profit / gross loss.
Max Drawdown: Peak-to-trough equity drop (%).
Win/Loss Trades: Number of winning/losing trades.
Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown).
Avg Win/Loss Ratio: Average win per trade / average loss per trade.
Last Update: Current time.
i. Backtesting Metrics
Tracks:
Total trades, winning/losing trades.
Win rate (%).
Net profit ($).
Profit factor (gross profit / gross loss).
Max drawdown (%).
Simplified Sharpe ratio (returns / drawdown).
Average win/loss ratio.
Updates metrics on each closed trade.
Displays a label on the last bar with backtest period, total trades, win rate, and net profit.
j. Alerts
No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")).
Use TradingView's alert system with Strategy Tester outputs.
3. Usage Tips
Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals.
Settings:
Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping).
Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets.
Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto).
Nash Period: Increase to 200 for longer-term analysis.
Backtesting:
Use TradingView's Strategy Tester to evaluate performance.
Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability.
Test on different assets/timeframes to ensure robustness.
Live Trading:
Start with a demo account.
Combine with other indicators (e.g., EMAs, support/resistance) for confirmation.
Monitor liquidity traps and institutional flow for context.
Risk Management:
Always use SL/TP to limit losses.
Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading).
Avoid over-leveraging (pyramiding=3 can amplify risk).
Troubleshooting:
If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity).
Ensure sufficient historical data for Nash and liquidity calculations.
If tables overlap, adjust position.top_right/bottom_right coordinates.
4. Key Differences from the Previous Indicator
Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting.
Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones.
Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns.
Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator.
Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy.
Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator.
5. Conclusion
The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management.
If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
Scalping with Williams %R, MACD, and SMA (1m)Overview:
This trading strategy is designed for scalping in the 1-minute timeframe. It uses a combination of the Williams %R, MACD, and SMA indicators to generate buy and sell signals. It also includes alert functionalities to notify users when trades are executed or closed.
Indicators Used:
Williams %R : A momentum indicator that measures overbought and oversold conditions. The Williams %R values range from -100 to 0.
Length: 140 bars (i.e., 140-period).
MACD (Moving Average Convergence Divergence) : A trend-following momentum indicator that shows the relationship between two moving averages of a security's price.
Fast Length: 24 bars
Slow Length: 52 bars
MACD Length: 9 bars (signal line)
SMA (Simple Moving Average) : A trend-following indicator that smooths out price data to create a trend-following indicator.
Length: 7 bars
Conditions and Logic:
Timeframe Check :
The strategy is designed specifically for the 1-minute timeframe. If the current chart is not on the 1-minute timeframe, a warning label is displayed on the chart instructing the user to switch to the 1-minute timeframe.
Williams %R Conditions :
Buy Condition: The strategy looks for a crossover of Williams %R from below -94 to above -94. This indicates a potential buying opportunity when the market is moving out of an oversold condition.
Sell Condition: The strategy looks for a crossunder of Williams %R from above -6 to below -6. This indicates a potential selling opportunity when the market is moving out of an overbought condition.
Deactivate Buy: If Williams %R crosses above -40, the buy signal is deactivated, suggesting that the buying condition is no longer valid.
Deactivate Sell: If Williams %R crosses below -60, the sell signal is deactivated, suggesting that the selling condition is no longer valid.
MACD Conditions :
MACD Histogram: Used to identify the momentum and the direction of the trend.
Long Entry: The strategy initiates a buy order if the MACD histogram shows a positive bar after a negative bar while a buy condition is active and Williams %R is above -94.
Long Exit: The strategy exits the buy position if the MACD histogram turns negative and is below the previous histogram bar.
Short Entry: The strategy initiates a sell order if the MACD histogram shows a negative bar after a positive bar while a sell condition is active and Williams %R is below -6.
Short Exit: The strategy exits the sell position if the MACD histogram turns positive and is above the previous histogram bar.
Trend Confirmation (Using SMA) :
Bullish Trend: The strategy considers a bullish trend if the current price is above the 7-bar SMA. A buy signal is only considered if this condition is met.
Bearish Trend: The strategy considers a bearish trend if the current price is below the 7-bar SMA. A sell signal is only considered if this condition is met.
Alerts:
Long Entry Alert: An alert is triggered when a buy order is executed.
Long Exit Alert: An alert is triggered when the buy order is closed.
Short Entry Alert: An alert is triggered when a sell order is executed.
Short Exit Alert: An alert is triggered when the sell order is closed.
Summary:
Buy Signal: Activated when Williams %R crosses above -94 and the price is above the 7-bar SMA. A buy order is placed if the MACD histogram shows a positive bar after a negative bar. The buy order is closed when the MACD histogram turns negative and is below the previous histogram bar.
Sell Signal: Activated when Williams %R crosses below -6 and the price is below the 7-bar SMA. A sell order is placed if the MACD histogram shows a negative bar after a positive bar. The sell order is closed when the MACD histogram turns positive and is above the previous histogram bar.
This strategy combines momentum (Williams %R), trend-following (MACD), and trend confirmation (SMA) to identify trading opportunities in the 1-minute timeframe. It is designed for short-term trading or scalping.
Liquid Pours XtremeStrategy Description: Liquid Pours Xtreme
The Liquid Pours Xtreme is an innovative trading strategy that combines the analysis of specific time-based patterns with price comparisons to identify potential opportunities in the forex market. Designed for traders seeking a structured methodology based on clear rules, this strategy offers integration with Telegram for real-time alerts and provides visual tools to enhance trade management.
Key Features:
Analysis of Specific Time Patterns: The strategy captures and compares closing prices at two key moments during the trading day, identifying recurring patterns that may indicate future market movements.
Dynamic SL and TP Levels Implementation: Utilizes tick-based calculations to set Stop-Loss and Take-Profit levels, adapting to the current market volatility.
Advanced Telegram Integration: Provides detailed alerts including information such as the asset, signal time, entry price, and SL/TP levels, facilitating real-time decision-making.
Complete Customization: Allows users to adjust key parameters, including operation schedules, weekdays, and visual settings, adapting to different trading styles.
Enhanced Chart Visualization: Includes visual elements like candle color changes based on signal state, event markers, and halos to highlight important moments.
Default Strategy Properties: Specific configuration for optimal risk management and simulation.
How the Strategy Works
Capturing Prices at Key Moments:
- The strategy records the closing price at two user-defined specific times. These times typically correspond to periods of high market volatility, such as the opening of the European session and the US pre-market.
- Rationale: Volatility and trading volume usually increase during these times, presenting opportunities for significant price movements.
Generating Signals Based on Price Comparison:
- Buy Signal: If the second closing price is lower than the first, it indicates possible accumulation and is interpreted as a bullish signal.
- Sell Signal: If the second closing price is higher than the first, it suggests possible distribution and is interpreted as a bearish signal.
- Signals are only generated on selected trading days, allowing you to avoid days with lower liquidity or higher risk.
Calculating Dynamic SL and TP Levels:
- Stop-Loss (SL) and Take-Profit (TP) levels are calculated based on the entry price and a user-defined number of ticks, adapting to market volatility.
- The strategy offers the option to base these levels on the close of the signal candle or the open of the next candle, providing flexibility according to the trader's preference.
- SL and TP boxes are drawn on the chart for visual reference, facilitating trade management.
Automatic Execution and Alerts:
- Upon signal generation, the strategy automatically executes a market order (buy or sell).
- Sends a detailed alert to your Telegram channel, including essential information for quick decision-making.
Visual Elements:
- Colors candles based on the signal state: buy, sell, or neutral, allowing for quick trend identification.
- Provides a smooth color transition between signal states and uses markers and halos to highlight important events and signals on the chart.
Trade Management:
- Manages open trades with automatic exit conditions based on the established SL and TP levels.
- Includes mechanisms to prevent exceeding TradingView's limitations on boxes and labels, ensuring optimal script performance.
Originality and utility:
- This strategy incorporates a unique approach focusing on specific time patterns and their relationship to institutional activity in the market.
How to Use the Strategy
Add the Script to the Chart:
- Go to the indicators menu in TradingView.
- Search for " Liquid Pours Xtreme " and add it to your chart.
Set Up Telegram Alerts:
- Enter your Telegram Chat ID in the script parameters to receive alerts.
- Customize the Buy and Sell alert messages as desired.
Configure Time Patterns:
- Set the hours and minutes for the two times you want to compare closing prices, aligning them with relevant market sessions or events.
Set SL and TP Parameters:
- Define the number of ticks for the Stop-Loss and Take-Profit levels, adapting them to the asset you're trading and your risk tolerance.
- Choose the basis for SL and TP calculation (close of the signal candle or open of the next candle).
Select Trading Days:
- Enable or disable trading on specific days of the week, allowing you to avoid days with lower activity or unexpected volatility.
Customize Visual Elements:
- Adjust the colors and styles of visual elements to enhance readability and suit your personal preferences.
Monitor the Strategy:
- Observe the chart for signals and use Telegram alerts to stay informed of new opportunities, even when you're not at your terminal.
Testing and Optimization:
- Use TradingView's backtesting features to evaluate the historical performance of the strategy with different parameters.
- Adjust and optimize the parameters based on the results and your own analysis.
Adjust the Strategy Properties:
- Ensure that the strategy properties (order size, commission, slippage) are aligned with your trading account and platform to obtain realistic results.
Strategy Properties (Important)
This script backtest is conducted on M30 EURUSD , using the following backtesting properties:
Initial Capital: $10,000
Order Size: 50,000 Contracts (equivalent to 0.5% of the capital)
Commission: $0.20 per order
Slippage: 1 tick
Pyramiding: 1 order
Verify Price for Limit Orders: 0 ticks
Recalculate on Order Execution: Enabled
Recalculate on Every Tick: Enabled
Recalculate After Order Filled: Enabled
Bar Magnifier for Backtesting Precision: Enabled
We use these properties to ensure a realistic preview of the backtesting system. Note that default properties may vary for different reasons:
- Order Size: It is essential to calculate the contract size according to the traded asset and desired risk level.
- Commission and Slippage: These costs can vary depending on the market and instrument; there is no default value that might return realistic results.
We strongly recommend all users adjust the Properties within the script settings to align with their accounts and trading platforms to ensure the results from the strategies are realistic.
Backtesting Results:
- Net Profit: $4,037.50 (40.37%)
- Total Closed Trades : 292
- Profitability Percentage: 26.71%
- Profit Factor: 1.369
- Max Drawdown: $769.30 (6.28%)
- Average Trade: $13.83 (0.03%)
- Average Bars in Trades: 11
These results were obtained under the mentioned conditions and properties, providing an overview of the strategy's historical performance.
Interpreting Results:
- The strategy has demonstrated profitability in the analyzed period, although with a win rate of 26.71%, indicating that success relies on a favorable risk-reward ratio.
- The profit factor of 1.369 suggests that total gains exceed total losses by that proportion.
- It is crucial to consider the maximum drawdown of 6.28% when evaluating the strategy's suitability to your risk tolerance.
Risk Warning:
Trading leveraged financial instruments carries a high level of risk and may not be suitable for all investors. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk tolerance. Past performance does not guarantee future results. It is essential to conduct additional testing and adjust the strategy according to your needs.
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What Makes This Strategy Original?
Time-Based Pattern Approach: Unlike conventional strategies, this strategy focuses on identifying time patterns that reflect institutional activity and macroeconomic events that can influence the market.
Advanced Technological Integration: The combination of automatic execution and customized alerts via Telegram provides an efficient and modern tool for active traders.
Customization and Adaptability: The wide range of adjustable parameters allows the strategy to be tailored to different assets, time zones, and trading styles.
Enhanced Visual Tools: Incorporated visual elements facilitate quick market interpretation and informed decision-making.
Additional Considerations
Continuous Testing and Optimization: Users are encouraged to perform additional backtesting and optimize parameters according to their own observations and requirements.
Complementary Analysis: Use this strategy in conjunction with other indicators and fundamental analysis to reinforce decision-making.
Rigorous Risk Management: Ensure that SL and TP levels, as well as position sizing, align with your risk management plan.
Updates and Support: I am committed to providing updates and improvements based on community feedback. For inquiries or suggestions, feel free to contact me.
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Example Configuration
Assuming you want to use the strategy with the following parameters:
Telegram Chat ID: Your unique Telegram Chat ID
First Time (Hour:Minute): 6:30
Second Time (Hour:Minute): 7:30
SL Ticks: 100
TP Ticks: 400
SL and TP Basis: Close of the Signal Candle
Trading Days: Tuesday, Wednesday, Thursday
Simulated Initial Capital: $10,000
Risk per Trade in Simulation: $50 (-0.5% of capital)
Slippage and Commissions in Simulation: 1 tick of slippage and $0.20 commission per trade
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Conclusion
The Liquid Pours Xtreme strategy offers an innovative approach by combining specific time analysis with robust risk management and modern technological tools. Its original and adaptable design makes it valuable for traders looking to diversify their methods and capitalize on opportunities based on less conventional patterns.
Ready for immediate implementation in TradingView, this strategy can enrich your trading arsenal and contribute to a more informed and structured approach to your operations.
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Final Disclaimer:
Financial markets are volatile and can present significant risks. This strategy should be used as part of a comprehensive trading approach and does not guarantee positive results. It is always advisable to consult with a professional financial advisor before making investment decisions.
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AI Volume StrategyAI Volume Strategy detects significant volume spikes and combines them with trend direction and candlestick color to generate buy and sell signals. The strategy uses an Exponential Moving Average (EMA) of volume to identify abnormal volume spikes that may indicate strong market activity. Additionally, it uses a 50-period EMA of price to filter the trend and decide on entry direction.
Key Features:
Volume Spike Detection: The strategy detects when the current volume exceeds the EMA of volume by a user-defined multiplier, signaling abnormal increases in market activity.
Trend Direction Filter: The strategy uses a 50-period EMA of price to determine the market trend. Buy signals are generated when the price is above the EMA (uptrend), and sell signals are generated when the price is below the EMA (downtrend).
Candle Color Filter: The strategy generates a buy signal only when the current candle is bullish (green) and a sell signal only when the current candle is bearish (red).
Exit after X Bars: The strategy automatically closes the position after a specified number of bars (default is 5 bars), but the exit condition can be adjusted based on user preference, timeframe, and backtesting results. The default exit is after 5 bars, but users can set it to 1 bar or any other number depending on their preferences and strategy.
Signals:
Buy Signal: Generated when a volume spike occurs, the trend is upward, and the current candle is bullish.
Sell Signal: Generated when a volume spike occurs, the trend is downward, and the current candle is bearish.
Alerts:
Buy Alert: Alerts the user when a buy signal is triggered.
Sell Alert: Alerts the user when a sell signal is triggered.
Visualization:
Buy Signal: A green label appears below the bar when the buy conditions are met.
Sell Signal: A red label appears above the bar when the sell conditions are met.
Volume EMA: Optionally, the Volume EMA line can be plotted on the chart to visualize volume trends.
This strategy helps traders identify potential entry points based on increased volume activity while considering trend direction and candlestick patterns. With the ability to adjust the exit condition, users can fine-tune the strategy to their specific needs and backtest results.
Slark Signal XtremeStrategy Description: Slark Signal Xtreme
The Slark Signal Xtreme is an innovative trading strategy designed to identify and capitalize on market opportunities by leveraging pivots, trend breakouts, and dynamic risk management. This strategy combines day-of-week and time filters with a ticks-based Stop Loss (SL) and Take Profit (TP) system, delivering customized signals and real-time alerts. Ideal for traders seeking a structured and highly customizable approach, Slark Signal Xtreme also incorporates advanced visual tools for efficient trade management.
Key Features:
Pivot- and Breakout-Based Signals: Utilizes pivot detection (highs/lows) combined with an ATR-based slope calculation to pinpoint trend changes and potential entry or exit points.
Dynamic Stop-Loss (SL) and Take-Profit (TP) Levels: Automatically calculates SL and TP based on the entry price and user-defined tick settings, adapting to volatility and optimizing risk management.
Time and Day Filters: Allows you to select specific days of the week and trading sessions during which signals are generated, avoiding low-liquidity periods or unwanted high volatility.
Customizable Risk Management: Lets you define the number of ticks for SL and TP, trading hours, initial capital, pyramiding, and commissions, tailoring the strategy to various risk profiles and assets.
Enhanced Visualization:
- SL and TP Boxes: Displays rectangular boxes on the chart indicating SL and TP levels, streamlining trade management.
- Candle Color Changes: Candles can be colored according to price position relative to pivot lines (bullish, bearish, or neutral).
- Session Highlight: Shades the chart background during the selected trading hours, providing immediate context on when the strategy is active.
Automated Alerts: Generates customizable alerts in TradingView whenever a buy or sell signal is triggered, detailing the timing, instrument, and SL/TP levels.
How the Strategy Works:
Technical Indicator Calculations:
- Pivot High/Low and Slope: Identifies price pivot points and calculates slope (based on ATR) to measure trend strength.
- Time and Day Filters: Signals only trigger within the specified days and hours, helping avoid undesirable market conditions.
Generating Buy and Sell Signals:
- Buy Signal (Long): Activated when price breaks above a downward pivot-based trendline or meets the condition for higher pivots.
- Sell Signal (Short): Activated when price breaks below an upward pivot-based trendline or meets the condition for lower pivots.
- Operation Conditions: Signals are only generated on selected days and during chosen trading hours, avoiding periods of low liquidity or excessive volatility.
Dynamic SL and TP Calculation:
- Stop-Loss (SL) and Take-Profit (TP): Determined by the entry price ± a user-defined number of ticks.
- SL and TP Visualization: Boxes are drawn on the chart from the entry price to SL/TP levels, enabling clear visual reference for trade management.
Order Execution and Alerts:
- Order Execution: When a signal is generated, Slark Signal Xtreme automatically opens a long or short position in TradingView’s backtesting environment.
- Alerts: Customizable alerts can be set up to provide real-time notifications (via TradingView or third-party integrations), offering essential details like instrument, time, SL/TP, etc.
Trade Management and Monitoring:
- Automatic Closure: Each trade is automatically closed upon reaching its SL or TP, ensuring disciplined risk control.
- Trade Summary: TradingView’s built-in reporting tools list all trades with cumulative results, simplifying performance evaluation.
Additional Visualization:
- Candle Coloring by Trend: Candles can be colored bullish, bearish, or neutral based on the pivot-driven trend detection.
- Operational Range Highlighting: The chart background is shaded during the permitted trading hours, clarifying when the strategy is active and enhancing visibility.
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Strategy Properties (Important)
This backtest was conducted in TradingView under the following configuration:
Initial Capital: 1000 USD
Order Size: 10,000 contracts (adjust according to the traded asset)
Commission: 0.05 USD per order
Slippage: 1 tick
Pyramiding: 1 order
Price Verification for Limit Orders: 0 ticks
Recalculate on Every Tick & On Bar Close: Enabled
Bar Magnifier for Backtesting Precision: Enabled
These properties provide a realistic view of the strategy’s performance. However, default parameters may vary depending on each user or market:
Order Size: Should be calculated according to the asset traded and your desired risk level.
Commission and Slippage: Costs can vary by market and instrument; there is no universal default that guarantees realistic results.
All users are strongly recommended to adjust these properties within the script settings to match their own trading accounts and platforms, ensuring the most accurate backtest results.
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Backtesting Results:
- Net Profit: +28.70
- Total Trades: 397
- Winning Trades: 138
- Win Rate: 34.76%
- Profit Factor: 1.07
- Sharpe Ratio: 1.25
- Sortino Ratio: 1.45
- Average Bars per Trade: 24
- Average Profit per Trade: 1.45
These numbers provide an overview of the strategy’s historical performance, demonstrating its potential for profitability given appropriate risk management.
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Interpretation of Results:
- The strategy can be profitable despite a relatively modest win rate, thanks to a suitable risk-reward ratio.
- A profit factor of 1.07 indicates that total profits slightly exceed total losses.
- It is essential to monitor drawdown and ensure it aligns with your personal risk tolerance.
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Risk Warning:
Trading leveraged financial instruments carries a high level of risk and may not be suitable for all investors. Before trading, carefully consider your investment objectives, experience level, and risk tolerance. Past performance does not guarantee future results. Always perform additional testing and adjust the strategy to your specific needs.
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What Makes This Strategy Original?
Focus on Pivots and Time/Day Filters: Rather than purely relying on momentum indicators, Slark Signal Xtreme uses pivot-based signals and scheduling filters to capture higher-liquidity, directional market moves.
Dynamic Risk Management: Ticks-based SL/TP and customizable trading sessions enable precise adaptation to various markets and trading styles.
Advanced Visualization Tools: SL/TP boxes, candle coloring, and session highlights streamline market interpretation and facilitate real-time decision-making.
Seamless Alert Integration: Although native TradingView alerts are provided, it can be integrated with third-party messaging services (Telegram, Discord, etc.) for enhanced automation.
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Additional Considerations
Continuous Testing and Optimization: Regularly backtest and fine-tune parameters (SL, TP, time filters, etc.) to accommodate changing market conditions.
Complementary Analysis: Combine this strategy with other technical or fundamental tools to confirm signals.
Rigorous Risk Management: Ensure SL/TP levels and position sizes conform to your overall risk management plan.
Updates and Support: Future updates and improvements may be released based on community feedback. For questions or suggestions, feel free to reach out.
---
Example Configuration
Assume you want to run Slark Signal Xtreme with these settings:
Trading Days: Monday to Friday
Trading Hours: 8:00 to 11:00 (exchange or broker time)
Stop Loss (SL) in Ticks: 100
Take Profit (TP) in Ticks: 300
SL/TP Box Extension: 20 bars
Initial Capital: 1000 USD
Risk per Trade: 1% of capital
Commissions & Slippage: 0.05 USD commission, 1 tick slippage
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Conclusion
The Slark Signal Xtreme strategy delivers a robust and adaptable solution by merging pivots, time/day filters, flexible risk parameters, and advanced visualization. Its distinctive and customizable design makes it a powerful resource for traders aiming to diversify their methods and exploit trend breakouts under specific conditions. Fully compatible with TradingView, Slark Signal Xtreme can enhance your trading toolkit and foster a more systematic approach to your operations.
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Final Disclaimer:
Financial markets are inherently volatile and pose significant risks. This strategy should be employed as part of a comprehensive trading plan and does not guarantee positive outcomes. Always consult a qualified financial advisor before making investment decisions. The use of Slark Signal Xtreme is solely at the user’s discretion, who must evaluate personal risk tolerance and financial objectives.
FreedX Backtest█ Our strategy template empowers TradingView users to effortlessly backtest any indicator, enhancing their trading strategy's effectiveness. In addition, users can create automated webhook alerts from the template. This document details our template's features and how to utilize them effectively.
█ TRADE DATE SETTINGS
The Trading Date Settings feature in our TradingView script allows you to refine their backtesting parameters by specifying trading dates and hours. This feature enhances the accuracy of the backtest by aligning it with specific time frames and days, ensuring that the strategy is tested under relevant market conditions.
Features:
⚙️ Enable Trading Between Specific Dates:
🎯 Purpose:
→ Allows you to limit the backtesting of their strategy to a specific date range.
💡 How to Use:
→ Input the Start Date and End Date for the backtest period.
→ The script will execute the strategy only within this specified date range.
⚙️ Enable Trading Between Specific Hours:
🎯 Purpose:
→ Allows you to limit the backtesting of their strategy to a specific hour range.
💡 How to Use:
→ Input the start and end hour for in Trading Session section.
→ The script will execute the strategy only within this specified hour range.
⚙️ Enable Trading on Specified Days of the Week:
🎯 Purpose:
→ Gives you the option to conduct backtesting on selected days of the week, tailoring the strategy to particular market behaviours that may occur on these days.
💡 How to Use:
→ Select the days of the week for the backtest.
→ The script will activate the trading strategy only on these chosen days.
█ BUY/SELL TRIGGER SETTINGS
The Buy/Sell Trigger Settings feature is designed to provide users with flexibility in defining the conditions for 'LONG' and 'SHORT' signals based on various indicator types. This customization is crucial for tailoring strategies to different trading styles and market conditions.
Features:
⚙️ Single-Line Plotted Indicators :
🎯 Purpose:
→ Enables you to select a single-line plotted indicator as a source for backtesting. You can define specific levels to trigger 'LONG' or 'SHORT' signals.
💡 How to Use:
→ Choose a Single-Line Plotted indicator as the source.
→ Set the top and bottom levels for the indicator.
→ The script triggers 'LONG' signals at the bottom level and 'SHORT' signals at the top level.
⚙️ Two-Line Plotted Indicators :
🎯 Purpose:
→ Allows backtesting with two-line cross plot sources. Signals are generated based on the crossover of these lines.
💡 How to Use:
→ Select two lines as 'Source 1' and 'Source 2' for the indicator.
→ The script triggers a 'LONG' signal when 'Source 1' crosses above 'Source 2'.
→ Conversely, a 'SHORT' signal is triggered when 'Source 2' crosses above 'Source 1'.
⚙️ Custom Signals :
🎯 Purpose:
→ This setting enables users to define their own criteria for LONG, SHORT, and CLOSE signals based on custom indicator outputs.
💡 How to Use:
→ Select the custom source for your signals.
→ Define the output values that correspond to each signal type (e.g., “1” for 'LONG', “-1” for SHORT, and “0” for CLOSE).
→ The script will trigger signals according to these custom-defined values.
█ TP/SL SETTINGS
The TP/SL (Take Profit/Stop Loss) Settings feature is designed to give users control over their profit securing and risk mitigation strategies. This feature allows for setting custom TP and SL levels, which can be critical in managing trades effectively.
Features:
Custom TP/SL Levels for Long/Short Signals:
🎯 Purpose:
→ Enables users to set specific percentage levels for Take Profit and Stop Loss on long and short signals.
💡 How to Use:
→ In the TP/SL Settings, input the desired percentage for Take Profit (TP) and Stop Loss (SL).
→ For example, to secure a profit at a 10% price increase on LONG signals, set the “Long TP Percentage” to “10”.
█ STRATEGY SETTINGS
Strategy Settings provide a range of options to customize the trading strategy. These settings include leverage, drawdown limits, position direction changes, and more, allowing users to tailor their strategy to their risk tolerance and market view.
Features:
⚙️ Enable Leverage :
🎯 Purpose:
→ Allows users to apply leverage to their trades.
☢️ Caution:
→ High leverage can significantly increase the risk of liquidation.
→ High leverage and a high stop-loss price may override your fixed stoploss percentage, adjusting the stop-loss to the liquidation price.
💡 How to Use:
→ Set the desired leverage ratio in the Strategy Settings.
⚙️ Enable Drawdown Limit:
🎯 Purpose:
→ Sets a maximum drawdown limit, automatically halting the strategy if this limit is reached, thereby controlling risk.
💡 How to Use:
→ Input the maximum drawdown limit (default: 100, min: 0, max: 100).
⚙️ Enable Reverse Position:
🎯 Purpose:
→ Automatically closes a current position and opens a new one in the opposite direction upon detecting a signal for a market trend change.
🎯 Example:
→ If a LONG signal is received while in a SHORT position, the script will close the SHORT position and open a LONG position.
💡 How to Use:
→ Activate this feature in the Strategy Settings.
⚙️ Enable Spot Mode:
🎯 Purpose:
→ Disables short orders, using short signals only for closing long positions.
💡 How to Use:
→ Select the 'Spot Mode' option in the Strategy Settings.
⚙️ Enable Invert Signals:
🎯 Purpose:
→ Inverts all indicator signals, changing LONG signals to SHORT and vice versa.
💡 How to Use:
→ Opt for the 'Invert Signals' feature in the Strategy Settings.
⚙️ Enable Trailing Stop:
🎯 Purpose:
→ Triggers a trailing stop order on the exchange instead of a standard stop market order.
☢️ Caution:
→ The backtesting of this feature on TradingView may not accurately reflect actual strategy performance due to discrepancies between TradingView and exchange mechanisms.
💡 How to Use:
→ Select 'Trailing Stop' in the Strategy Settings.
█ ADVANCED STRATEGY SETTINGS
Advanced Strategy Settings offer sophisticated methods for managing Stop Loss (SL) and Take Profit (TP) using the Average True Range (ATR). These settings are ideal for traders who want to incorporate volatility into their exit strategies.
Features:
⚙️ Enable ATR Stop Loss:
🎯 Purpose:
→ Automatically sets the Stop Loss price using the Average True Range at the time of entry.
💡 How to Use:
→ Activate 'ATR Stop Loss' to have the SL price calculated based on the current ATR.
⚙️ Enable ATR Take Profit:
🎯 Purpose:
→ Sets the Take Profit price based on the Average True Range at the time of entry.
💡 How to Use:
→ Choose 'ATR Take Profit' for TP price determination using ATR.
⚙️ Enable ATR Trailing Stop:
🎯 Purpose:
→ Dynamically updates the Stop Loss price with each new bar, according to the Average True Range.
💡 How to Use:
→ Activate 'ATR Trailing Stop'.
→ Set the ATR Period to define the number of bars for ATR calculation.
→ Adjust the ATR SL Multiplier to determine the stop loss distance.
→ Modify the ATR TP Multiplier for setting the take profit distance.
█ TREND FILTERING SETTINGS
Trend Filtering Settings are designed to align trading strategies with the prevailing market trend, enhancing the precision of trade entries and exits. These settings utilize moving averages for trend analysis and decision-making.
Features:
⚙️ Enable Trend Filtering:
🎯 Purpose:
→ Limits trades based on moving average trends, blocking short trades in an uptrend and vice versa.
💡 How to Use:
→ Enable 'Trend Filtering'.
→ Set Fast and Slow MA Lengths for trend analysis.
→ Select the Timeframe for moving averages.
→ Choose the Moving Average Type for trend filtering.
🎯 Note:
→ Be cautious with timeframe selections; lower timeframes than the base may cause inconsistencies.
⚙️ Enable Exit on Trend Reversal:
🎯 Purpose:
→ Automatically closes a position when a market trend reversal is detected.
💡 How to Use:
→ Turn on 'Exit on Trend Reversal' in the settings.
⚙️ Enable Trend Drawing On Chart:
🎯 Purpose:
→ Visually represents the trend filter directly on the chart for easy reference.
💡 How to Use:
→ Activate 'Trend Drawing On Chart' to see the trend filter overlaid on the trading chart.
█ AUTOMATED ALERT SETTINGS
Automated Alert Settings are designed to integrate your TradingView script with webhook alerts. These settings allow for enhanced strategy execution and management.
Features:
Enable Webhook Alerts:
🎯 Purpose:
→ Trigger BUY, SELL, CHANGE_DIRECTION or MOVE_STOP_LOSS .
💡 How to Use:
→ Enable 'Webhook Alerts' in the settings.
→ Enter your Strategy ID.
→ Optionally, activate 'Override Allocation Percentage' to bypass the preset allocation percentage.
☢️ Caution:
→ Overriding the allocation percentage may result in trade entry errors due to misalignment between entry cost and available balance.
█ DEBUGGING SETTINGS
Debugging Settings are crucial for users who want to analyze and optimize their strategies. These settings provide tools for visualizing alerts on charts and accessing detailed data outputs.
Features:
⚙️ Enable Alert Plotting:
🎯 Purpose:
→ Allows users to visualize trading alerts directly on the chart, aiding in strategy analysis and refinement.
💡 How to Use:
→ Activate 'Alert Plotting' to draw alerts on the chart.
☢️ Caution:
→ It is recommended to disable this feature when creating actual trading alerts, as it can cause latency in signal processing.
⚙️ Enable Debugger Mode:
🎯 Purpose:
→ Facilitates strategy debugging by providing detailed data output in the TradingView Data Window.
💡 How to Use:
→ Turn on 'Debugger Mode' to access real-time data and metrics relevant to your strategy.
█ ADDITIONAL SETTINGS
⚙️ Enable Bar Magnifier
⚙️ Enable Using standard OHLC
Trend-following Strategy E v2.6Hi All,
Welcome to my first published Trend-following strategy for bitcoin, designed specifically for BITMEX:XBTUSD.
In order to set up Alerts for this strategy, I've created a second script called Trend-following Alert E v2.6 which you can find here:
Here you will find the "active_long" and "active_long" variables (red and blue lines) that show which positions are being taken by the strategy script.
You can set 'Once per bar close' alerts for this to get your alerts on TV.
For instance, I use 'crossing up @ 0.1' on "active_long" to set an 'Open Long" alert and a 'crossing down @ 0.9' to set a 'Close Long' alert.
The same holds for the 'Open Short' and the 'Close Short' alerts but then for the 'active_short' variable.
As you can see from the backtest I've done my best to create a decent ROI with limited DD, i.e., the current max. losing trade for this is -3.8% and max. DD is a mere -8.09%.
You can also run this backtest/strategy with '100% of equity' but I would advise against trading this as DD increases significantly.
With a constant order size, and due to the low inherent DD, this strategy should be quite safe to use.
Going from the results it's clear that this strategy excels during clear bull/bear trends but might suffer a little bit during market chop.
This is also where ROI tends to stagnate a little bit only then to take off again during a clear trend.
There are two inputs that can be modified on this strategy, however I think the current settings are optimal for this market on the 2H candle.
Please let me know if you have any questions.
