Crypto 1 hourSimilar to indicator stock 4 hour
this bot design for crypto 1 hour chart (i find this time frame as the best one for it)
two versions of operation
1. non repainted as suggested by pine coders LucF
2. the other one is repainted with my supress repaint mechanism
the repainted version work fine but be aware that repaint may occur so it not perfect
if you decide to use the repainted one just know it not perfect even if i try my best to remove all repaint issue
alerts included
one way to check for repainting signals is by using bar repaly
the other way to see is to convert from repaint mode to unrepaint mode
if signal move 1 mtf forwrd and stay by similar order you saw before ' you can say that it was a true signal
normaly when we do this the repaint ones need to dissaper when we covert them to non repaint mode
if they move 1 mtf ahead then they were true when they were on the unrepainted version
system is very similar to ECG MACD strategy with some minor changes that I made in the buy and sell but this not so imprtant .
the daily candels are non repainting MTF candles. it just to make the atudy more preety . but it has no relation to buy and sell operation
The way i sugeest to use the repainted model is not automatic since there is repaint sometime
i suggest to use semi automatic mode
meaning the algo send alert . you just need manualy to check if the alert was true or not
since it buy and sell very slowly ,you have enough time to enter trades manualy for it.
if you find this manuver not needed and it working fine live . only if you are sure in that then move this indicator to act as real bot and make it full automatic
why i use repaint mode?
becosue the correction of repaint move the signal 1 mtf ahead. so most of time the repainted version send signals at more true postition. sometime due to repaint which can be we may get bad signal. but overall the system us design to work better at repaint mode.
so let me know what you think
in future i will try to make my anti repaint system to ne better I hope:) ?
so be wise when you put your money to something. use your decision wisely
treat this indicator as helper but it your job to monitor when there is a repaint or not..
Tìm kiếm tập lệnh với "bot"
LoFi Trend Version 1.0Lofi Trend v. 1.1 - confirmation to be used with Lofi Trend. (version 4.0 pine)
The goal of this indicator is to plot rsi , ema values on any chart. You can also adjust it for larger time frames. Repainting issues have been fixed and updated to pine version 4.0
The script is currently under development and additional updates will be added based on performance from a 24/7 active bot that is using this on 1hr, 4hr, 12hr and daily time frames. The output may vary slightly between different chart time frames for the same indicator settings.
This is an "Invite Only" script. Contact me for details.
User Interface/Detail Description:
- Green Bar= Buy
- Red BAR = Sell
This indicator can be easily used with popular bot trading platforms. Feel free to contact me for details.
Can be used for all Charts
LoFi EMA version 1.3aLoFi EMA version 1.3a
The goal of this indicator is to plot rsi , ema values on any chart. You can also adjust it for larger time frames. Repainting issues have been fixed and updated to pine version 4.0
The script is currently under development and additional updates will be added based on performance from a 24/7 active bot that is using this on 1hr, 4hr, 12hr and daily time frames. This can also be used for degen trading on the 2 min chart. The output may vary slightly between different chart time frames for the same indicator settings.
This is an "Invite Only" script. Contact me for details.
User Interface/Detail Description:
- Green Bar= Buy
- Red BAR = Sell
This indicator can be easily used with popular bot trading platforms. Feel free to contact me for details.
Can be used for all Charts
Basic Entry Chart Layout:
BITMEX:
BITCOIN:
FOREX:
LEGACY:/ STOCKS:
30 Min Scalp SystemA scalping script for the 30 min chart that is designed and tuned to be used with trading bots such as ProfitView or Autoview. I personally trade with this on Bitmex.
This trading system is built upon 4 established trading indicators that compliment each other. All signals are filtered in a number of ways to avoid chop and only trigger when a strong trend or crossover is identified.
Alerts are included for longs, shorts and exits in both directions.
Recommended setup:
- Trade with leverage and take 75%-80% out at 0.5% profit, leaving the rest to run
- Initial stop-loss of 1%, initiating a trailing stop of 0.75% when TP is hit
- Ensure bots are set to ignore open orders in the same direction
I use this in conjunction with ProfitView where I run three custom scripts to manage my position entries, monitor profit levels, dynamically move my stop and then exit positions where appropriate.
Note: Exit signals are show here even when trades aren't open because it's only possible to hide these when using a strategy script. This is coded as an indicator so that alerts can be sent to your chosen bot.
Disclaimer: The signals aren't perfect but no script is. The above cannot be considered financial advice and I take no responsibility from any losses incurred. A test account is recommended to verify the win rate before trading on a live platform.
[astropark] Ichimoku Cloud Strategy [alarms]Dear Followers,
today a Great Swing Trading Strategy , runnable on a bot , which works great on High Timeframes (1D is suggested!) but also even better on 1m Renko chart.
If you are a scalper, you will love suggested entries for fast profit. You can run it on 1h timeframe (below is not suggested) if you are used to scalp trading and close each trade whenever you feel happy (a proper trailing stop strategy is suggested anyway).
This strategy is based on the Ichimoku Cloud Indicator and let's you set a lot of settings:
works on all timeframes (but 1D and above is suggested on normal candlesticks chart)
you can run this indicator on 1m Renko chart (be sure to enable the "USING RENKO CHART? ENABLE THIS OPTION" setting)
you can use 4 kind of Ichimoku Cloud (Custom, Slow, Standard and Fast - keep only one enabled)
you can make the Ichimoku Cloud show or not
you can enable showing the possibile re-entries
you can enable an heiking ashi analysis
you can enable a trailing stop strategy ("Auto Trailing Stop Loss" and "Close Trade When Price Breaks Above the Ichimoku Cloud" are two options very much suggested to keep enabled, especially on bot trading)
you can create your own trailing stop stategy and take profit strategy
you can enable a simple take profit strategy based on RSI Overbought and Oversold levels
This strategy only trigger 1 buy or 1 sell, but if you missed the possibility to open your long or short position don't get mad, but just enable the "show re-entry signals" option, so yout will be able to enter again (be sure to always use a proper money management ).
By the way, you can set any alarms you like in order to get notified when any kind of signal is triggered (you need to use the "alarms" version for this).
Strategy results are calculated on the timeframe from May 2017 to now, so on 2 years and half, using 10000$ as initial capital and working at 1x leverage (so no leverage at all! If you like to use leverage, be sure tp use a safe option, like 3x or 5x at most in order to have liquidation price very far).
This is not the "Holy Grail", so use a proper risk management strategy.
This script will let you set all notifications you may need in order to be alerted on each triggered signals (there is also an "ALL-IN-ONE" option for free tradingview users.
The backtesting version of this indicator, which will let you backtest how the indicator will perform on any chart you may test, can be found by searching for "Ichimoku Cloud Strategy" and then choosing the astropark indicator with "red and green arrows" at the end of the name. You can find it here below too:
This is a premium indicator , so send me a private message in order to get access to this script.
HeiKin Crossover With Alerts [Lofi]HeiKin LoFi - Crossover With Alerts
The goal of this indicator is to plot stoch, rsi, ema values "as if" the chart is a true price action based on a Heiken-Ashi Chart. It can also be used on a regular candle stick setting or the original Heikin Ashi chart.
The script is currently under development and additional updates will be added based on performance from a 24/7 active bot that is using this on 1hr, 4hr, 12hr time frames. The output may vary slightly between different chart time frames for the same indicator settings. A bad setting would be something like a sub 10-15 minute chart with BTCUSDT binance although some progress has been made on lower time frames. I have added an adjustable setting window for user tuning.
This is an "Invite Only" script. Contact me for details.
User Interface/Detail Description:
- Green Arrow = Buy
- Red Arrow = Sell
- Purple Arrow = High Risk Long
- Yellow Arrow= High Risk Short
This indicator can be easily used with popular bot trading platforms. Feel free to contact me for details.
Can be used for all Charts
Basic Entry Chart Layout:
BITMEX:
BINANCE:
FOREX:
I allow users to tune functions for almost any time interval. example 5 Second Chart:
[astropark - Premium] 1m Renko Scalper V2 [alarms]Dear Followers,
today a new Scalper Tool , which works great on 1 minute timeframe , which is the best and more secure timeframe to use on a Renko chart, besides it works great up to 15m (I don't suggest to use a renko chart over 15m timeframe)!
It is an upgraded version of Bitmex Renko Scalper that you can find in my tradingview script page.
This tool has some cool features:
it works on 1 minute timeframe : so you can enjoy high-frequency trading by using a 24/7 running bot;
wait bricks optional mode : you may like to make script wait for triggering a new signal by waiting 1 or 2 more confirmation bricks
trailing stop : you can set a trailing stop in trade, so script will alert you if it will be reached in chart
This strategy can trigger till 5 buy or 5 sell signals in a row before reverting, so use a proper money management .
Strategy results are calculated on the timeframe from july to now, so on about 4 months, using 10000$ as initial capital and working at 3x leverage (very safe leverage!).
The user who wants to use this strategy, especially via an automated bot, must always set a stoploss at 5% from entry point or use a proper risk management strategy .
This is not the "Holy Grail", so use it with caution.
This script will let you set all notifications you may need in order to be alerted on each triggered signals.
The backtesting script version of this indicator, which will let you backtest this script and find best settings for your preferred market, can be found here below:
On Bitmex XBTUSD chart best settings is Traditional Renko chart with 10$ box size.
This is a premium indicator , so send me a private message in order to get access to this script .
TrendMaster ProTrendMaster Equilibrium X
TrendMaster Equilibrium X is a composite of TrendMaster, MokuMaster and KishokuMaster in one indicator. It is designed to be a drop-in replacement of our flagship indicator, TrendMaster, allowing the user to examine all three indicators on a single chart. The purpose of TrendMaster Equilibrium X is to provide a sentiment filter when assessing possible Trendmaster entries. When all three indicators align, we have equilibrium and can feel confident to take the trade. The indicator is optimised for weekly, daily and 4-hour candlesticks and can be used for all trending markets. It is exclusively available to our Pro tier members.
MokuMaster
MokuMaster is based on Ichimoku and its colours are derived from Ichimoku's depiction of trend conditions. When examining charts for directional bias you can simply check the colour of MokuMaster.
Bright Green - Resolutely Bullish
Green - Bullish
Blue - Neutral
Pink - Bearish
Red - Resolutely Bearish
These categories represent the interactions between Price, the Tenkan-sen, the Kijun-sen, the Kumo and the Chikou Span. This can be overwhelming if you are not an accomplished Ichimoku trader. MokuMaster allows you to view these interactions without the difficulty of interpreting what they mean.
KishokuMaster
KishokuMaster is a very simple indicator designed to provide an immediate representation of the ‘mood’ of the market. It provides an optimal balance of lag and smoothing to help traders establish a Bullish or Bearish bias. The underlying logic is based on Alan Hull's weighting techniques. KishokuMaster generally gives an early warning of a trend reversal.
Confluence
When assessing a TrendMaster entry, you can use TrendMaster Equilibrium as a simple checklist as shown in the annotated chart below. By taking entries that satisfy all criteria, you increase your likelihood of a successful outcome.
How to get it?
If you would like to use TrendMaster Equilibrium or any of our other Indicators, please visit my site. Here you can purchase one of our packages which include indicators, market scanner bots and a large Discord community. You will also find educational content and how to guides for our indicators.
Our Story
Founded in 2018 by IchimokuScholar and C00kie, TrendMaster is a team that produces technical analysis indicators with an emphasis on simplicity and noise reduction. We support a large community with educational content, automated market scanners and mentoring in our private chat rooms. We produce technical analysis indicators geared primarily towards the emerging Cryptocurrency asset class. We provide educational material to assist trader development and host a large online trend following community. All of our products are designed to help traders distinguish relevant information from background noise. Our indicators encourage disciplined trade management to maximise the opportunity captured while minimising losses.
IchimokuScholar
IchimokuScholar – In 2017 I retired from a career in higher education to focus on Trading. I like to trade long term trends, focusing primarily on continuation setups. I am dedicated to sharing my knowledge of trading and take great pleasure in simplifying technical analysis for newer traders.
C00kie
I started trading crypto in 2017 and immediately started coding a bunch of tools to improve my quality of life. Some definitely worked out better than others. Like to trade the higher timeframes and drawing horizontal lines on charts. I am also pretty much obligated to like cookies. Indicators. Here you can purchase one of our packages which include indicators, market scanner bots and a large Discord community. You will also find educational content and how to guides for our indicators.
Momentum Signal Moving AverageThis is a script with one modified indicator that mainly tracks and executes positions openings by calculating volume and "enthusiasm" from the exchanges coin pairs. I recommend that it is used on a 15m chart.
When it is a bullish trend it is configured to take profit, but this is of course something you can set values or disable. In bearish trends, the script opens bigger positions, and when a bounce happens the script starts taking profit.
In stagnation, the script used to be week, and made losses. However, with the added scalping feature it seems to at least even it out, or even make profit as I have seen now.
It's still a very 1.0 script and will get updated to make sure the profit keeps getting higher percentage.
I use the Alerts Trader extension to execute orders from Tradingview in Chrome via Bitmex API.
I use it on Bitmex, but surely you can use it on other exchanges that are supported in the Alerts Trader extension, which is extensive.
Important : You will be able to add this script to your chart, but you won't be able to se the source code, so to make it work you need to set the alerts right, with correct code for it to work.
Here is where I come in:
I'll give each user 3 day trial, and after that, if you are satisfied and want to run it longer, you can subscribe for $49/month.
And if you have bigger capital, I will install it and configure it to match the amount of contracts you wish to have.
If you are a person with big capital, you can get 1 week of trial.
And for people with big capital, you can get personal support from me when needed to alter settings or create new alerts. This will cost $50 each time.
But remember, you can also run the trial on the Bitmex testnet, but the volume is very low there so the bot does not preform as well on the testnet as it does on the mainet with big volume.
I am willing to let someone, a 3rd party, with good reputation test it for a few days and make an honest review after.
Disclaimer: I cannot guarantee that this script will make you rich, but after a week of testing, both on testnet and mainnet, the results are good enough for me. (I am no financial expert or professional trader. Any losses from the algorithm is not my issue, use it at your own risk. Always run the script/bot with money you can afford to lose)
All payments to me are made in bitcoin.
BitMEX Swing Trader MillionaireA bitcoin ATM machine on the 4hr
stick .25 bitcoin in an account set it up with an api bot like Autoview, alerts traders or even my very own api bot and avoid paying monthly sub..
ping me for details
Bert LONG BTC Study (Alerts) - Profit 2018: 1319 % (no leverage)Bert LONG Term BTC study (BITMEX) - script for setting alerts and trading bots
This is a revolutionary strategy for bitcoin (XBT) trading. The strategy is perfectly configured for trading on the Bitmex exchange. No further configuration and setup is required.
The strategy itself recognizes a volatile period or whether the market is in downtrend, uptrend or sideways. Accordingly, it applies the appropriate orders to reach maximum profit.
The strategy can be handled manually, you can receive alerts (popup, email, sms) or can be fully automated by bot (works with: Autoview, Gunbot, Profitview, Jubot and others) without any manual intervention.
What is the minimum and maximum capital I can trade with?
You can trade with 0.0001BTC – 1000BTC. That is one of many advantages of using this strategy on XBT. There is enough liquidity to execute the order for the market price with a big investment amount.
What is the recommended setting?
Timeframe: 45m
Chart: Bitcoin/USD Dollar Perpetual Inverse Swap Contract (XBT)
Leverage: 2x
Orders: Long and Shorts
Why was this strategy created?
You have basically two option how to make money in crypto market. HODL (buy the coin and believe it will rise to the moon) and TRADING (only 3-5% traders are profitable, most of them are full time traders with 5+ years of experience in trading).
If you HODL btc in this year, you are -70 % this year
If you are TRADING, the results depend on how good you are (think about this, if you decide to be a heart surgeon, rocket star or NBA player, do you think you can be? Yes, you can but the chances are very small. The same probability you have that you will be in the 3-5% profitable traders 😊). It takes time, you need experience and still 96% all of you will never be a profitable traders!
If you use Bert BTC long term strategy, you are + 1319 % this year
How well the Bert BTC strategy performs?
Profit in 2018 was 1319 % / 13x (without leverage)
Profit in 2018 was 11 477 % / 115x (with leverage 2)
If you invested (with leverage 2) 1 000 USD you have now 114 766 USD
If you invested (with leverage 2) 10 000 USD you have now 1 147 660 USD
Detailed trades report for 2018 (you can calculate your own profit with specific investments and leverage) – download excel here
Notes:
You will hardly find better strategy on the market which achieves similar results with minimal risk and can operate in any market condition (downtrend, uptrend, sideways).
We guarantee the strategy does not repaint, and we use real candles (not heikin ashi or renko which does not reflect real prices).
We wish you to become financially independent and all your secret wishes to be fulfilled.
And in case if you still want to HODL or you want to be TRADING all the days watching to your monitors, consider to try our strategy at least with a minimum capital invested, you will see that you will not regret in long run. Be patient and the money will come to you!
For access to this strategy visit website: www.cryptobert.io
inwCoin HMA AlertSimple alert to go along with the inwCoin HMA Strategy
Please not that the alerts are persistent 2.70% , if you already enter the position,
just ignore the rest of the same alert until the opposite alert show up
( long then short / or short then long , if change, just close and enter opposite position )
You can set the alert and let it tell you to iOS app via TradingView app ( yey! )
Please note that, if you don't have bot to track your trailing start/stop. you have to enter the TP/SL manually ( also tracking the position )
So... be careful to follow this alert. just try it with small amount of money first.
and make sure to set stop loss every time because OKEX is a portfolio killer if you don't have any stop loss.
** if you cannot trailing stop bot, just uncheck the "Aggressive Strategy" in both strategy and alert to reduce alert to minimum level.
Most Profitable HelloEpicWorld v2.0[Eric] This is the most profitable un-repaint fully support auto trading Algo on earth.
Usage:
Buy and Sell && Stop Loss
1. When it shows buy, you can buy it immediately or wait for a small dump to buy it, stop loss at the red cross below.(Both buy and stop signal support alert autoview bots auto trading)
2. When it shows sell, you can sell it immediately or wait for a small pump to sell it, stop loss at the green cross above.(Both buy and stop signal support alert autoview bots auto trading)
Background Color:
It can be turn on and off in the settings. When it is green, you have a 78% probability to get a win trade on buying the pullback. And a 73% probability to get a win trade on selling the pullback when it's red. So, even missed the buy and sell signal, you can still open a trade in the middle, but I don't recommend this kind of trades, it's no good for Risk/Reward ratio. The best ratio is when the signal show up. Background color is more suitable using to hold your trades after entering.
Forex:
Bitcoin:
Altcoin:
MarketSpeed:
RSIC:
MACs EasyMoney - LongTermSignalsIntroducing " MACs EasyMoney - LongTermSignals " Indicator. Specially designed for weekly and 1 Month duration charts . Picks the calls perfectly :)
Latest other updates:
BOT Trading Integration is completed for the following indicators,
1) MACs EasyMoney - Swing Trade Signals
2) MACs EasyMoney - Scalp Trade Signals
Strategy Test Report for the BOT script shows the following results,
* Profitable Percent = 99.42%
* Profitable Factor = 93.76
Thanks,
Mac.
Pharoceus PT-V2 CryptoScalper RSI+BB+SRSI+Stochastic IndicatorThis is the updated Version of the ProfitTrailerV2 RSI+BB+StochRSI+Stochastic Oscillator Signal+Alerts
Description
This is an all-in-one indicator with alerts that most people call signals and it's designed for Cryptocurrency leverage trading. This indicator features, the most popularly used indicators in technical analysis and are the basic technical analysis indicators any successful trader should master before going into more advance technical analysis tools. The Pharoceus ProfitTrailerV2 CryptoScalper RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts features the Bollinger Bands, Relative Strength Index, Stochastic RSI and Stochastic Oscillator, and it was designed for use with Pharoceus ProfitTrailerV2 CryptoScalper and can also be used with all other trading bots or on its own as a powerful market leveraging and trading indicator using alerts.
The ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts can be customized to any trader specific trading patterns and offers the ability to choose a combination of indicators from the featured ones to use. With the Buy and Sell Signal feature, trading on any cryptocurrency exchange can be automated and with the alerts feature, the Pharoceus ProfitTrailerV2 CryptoScalper RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will automated buying and selling signals for any crypto trading bot but I'll always recommend using for making buys only when using with any bot. This indicator/script can be used with any base pair; BTC, ETH, and USD or USDT.
As mentioned above, all four indicators can be combined to find a very safe and secure buy and profitable sell signals, which maximizes your profit margins and overall earnings over time. Also, 2 or 3 could be combined as well, depending on the traders knowledge on how to use each indicator independently to find its best settings. My recommendation would be to test all independently and or together with very little capital to find what works best for you. I recommend this because the cryptocurrency market in a very volatile market and unpredictable, some combination of indicators would work for some certain coin pairs and not all, while others would work better with a different setting and a particular coin pair.
As with all script use at your own risk and only trade what you can afford to lose, while this indicator isn't designed to lose you money and I will not be held liable for any losses due to misuse. I am also not a financial advisor and the ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will be made available soon as it's still undergoing rigorous testing and it's in no way and manner affiliated with any group of individuals or bot.
Trade Smart and with only what you can afford. Donations are also welcome to encourage my work, This is a totally free to use script to help traders, small time or big time that works towards making the indicator sharing world accessible to all who will not definitely be ripped-off and support a community of sharing.
discord.gg
BTC: 199qMzu4gvr3bUXWEpLG5uS6TEKKvw5pbe
ETH: 0xf8339952a224a228f2f8c58a5666a8ffleddebfb
BCH: qqmmds8u3f8m6ek387jtefg07525dvaxzqrshd86gz
ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+AlertsThis is an all-in-one indicator with alerts that most people call signals and it's designed for Cryptocurrency leverage trading. This indicator features, the most popularly used indicators in technical analysis and are the basic technical analysis indicators any successful trader should master before going into more advanced technical analysis tool. The ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts features the Bollinger Bands, Relative Strength Index, Stochastic RSI and Stochastic Oscillator, and it was designed for use with ProfitTrailer V2 and can also be used with all other trading bots or on its own as a powerful market leveraging and trading indicator using alerts.
The ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts can be customized to any trader specific trading patterns and offers the ability to choose a combination of indicators from the featured ones to use. With the Buy and Sell Signal feature, trading on any cryptocurrency exchange can be automated and with the alerts feature, the ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will automated buying and selling signals for any crypto trading bot but I'll always recommend using for making buys only when using with any bot. This indicator/script can be used with any base pair; BTC, ETH, and USD or USDT.
As mentioned above, all four indicators can be combined to find a very safe and secure buy and profitable sell signals, which maximizes your profit margins and overall earnings over time. Also, 2 or 3 could be combined as well, depending on the traders knowledge on how to use each indicator independently to find its best settings. My recommendation would be to test all independently and or together with very little capital to find what works best for you. I recommend this because the cryptocurrency market in a very volatile market and unpredictable, some combination of indicators would work for some certain coin pairs and not all, while others would work better with a different setting and a particular coin pair.
As with all script use at your own risk and only trade what you can afford to lose, while this indicator isn't designed to lose you money and I will not be held liable for any losses due to misuse. I am also not a financial advisor and the ProfitTrailerV2 RSI+BB+SRSI+Stochastic Oscillator Signal+Alerts will be made available soon as it's still undergoing rigorous testing.
PT Magic Triggers So its me again. I have decided to create Trend Trigger Script for PT Magic addon for a trading bot Profit Trailer. If you do not own this bot and Addon the following explanation will not help you.
For each Trend you define number of minutes and it then calculates the percentage change between the close price now and X candles before.
Same calculation is for all 6 Triggers i beleive that is all you need :)
Hope it helps you all.
LTC: LYHj4WDN7BPu5294cSpqK3SgWSWdDX56Qt
BTC: 1NPVzeDSsenaCS9QdPro877hkMk93nRLcD
VWAP based long only- AdamMancini//@version=6
indicator("US500 Levels Signal Bot (All TF) v6", overlay=true, max_labels_count=500, max_lines_count=500)
//====================
// Inputs
//====================
levelsCSV = input.string("4725,4750,4792.5,4820", "Key Levels (CSV)")
biasMode = input.string("Auto", "Bias Timeframe", options= )
emaLen = input.int(21, "Bias EMA Length", minval=1)
rsiLen = input.int(14, "RSI Length", minval=1)
atrLen = input.int(14, "ATR Length", minval=1)
proxATR = input.float(0.35, "Level Proximity (x ATR)", minval=0.05, step=0.05)
slATR = input.float(1.30, "SL (x ATR)", minval=0.1, step=0.05)
tp1ATR = input.float(1.60, "TP1 (x ATR)", minval=0.1, step=0.05)
tp2ATR = input.float(2.80, "TP2 (x ATR)", minval=0.1, step=0.05)
useTrend = input.bool(true, "Enable Trend Trigger (Break & Close)")
useMeanRev = input.bool(true, "Enable Mean-Reversion Trigger (Sweep & Reclaim)")
showLevels = input.bool(true, "Plot Levels")
//====================
// Bias TF auto-mapping
//====================
f_autoBiasTf() =>
sec = timeframe.in_seconds(timeframe.period)
string out = "240" // default H4
if sec > 3600 and sec <= 14400
out := "D" // 2H/4H -> Daily bias
else if sec > 14400 and sec <= 86400
out := "W" // D -> Weekly bias
else if sec > 86400
out := "W"
out
biasTF = biasMode == "Auto" ? f_autoBiasTf() :
biasMode == "H4" ? "240" :
biasMode == "D" ? "D" :
biasMode == "W" ? "W" : "Off"
//====================
// Parse levels CSV + plot lines (rebuild on change)
//====================
var float levels = array.new_float()
var line lvlLines = array.new_line()
f_clearLines() =>
int n = array.size(lvlLines)
if n > 0
// delete from end to start
for i = n - 1 to 0
line.delete(array.get(lvlLines, i))
array.clear(lvlLines)
f_parseLevels(_csv) =>
array.clear(levels)
parts = str.split(_csv, ",")
for i = 0 to array.size(parts) - 1
s = str.trim(array.get(parts, i))
v = str.tonumber(s)
if not na(v)
array.push(levels, v)
f_drawLevels() =>
f_clearLines()
if showLevels
int n = array.size(levels)
if n > 0
for i = 0 to n - 1
lv = array.get(levels, i)
array.push(lvlLines, line.new(bar_index, lv, bar_index + 1, lv, extend=extend.right))
if barstate.isfirst or levelsCSV != levelsCSV
f_parseLevels(levelsCSV)
f_drawLevels()
// Nearest level
f_nearestLevel(_price) =>
float best = na
float bestD = na
int n = array.size(levels)
if n > 0
for i = 0 to n - 1
lv = array.get(levels, i)
d = math.abs(_price - lv)
if na(bestD) or d < bestD
bestD := d
best := lv
best
//====================
// Bias filter (higher TF) - Off supported
//====================
bool biasBull = true
bool biasBear = true
if biasTF != "Off"
b_close = request.security(syminfo.tickerid, biasTF, close, barmerge.gaps_off, barmerge.lookahead_off)
b_ema = request.security(syminfo.tickerid, biasTF, ta.ema(close, emaLen), barmerge.gaps_off, barmerge.lookahead_off)
b_rsi = request.security(syminfo.tickerid, biasTF, ta.rsi(close, rsiLen), barmerge.gaps_off, barmerge.lookahead_off)
biasBull := (b_close > b_ema) and (b_rsi > 50)
biasBear := (b_close < b_ema) and (b_rsi < 50)
//====================
// Execution logic = chart timeframe (closed candle only)
//====================
atr1 = ta.atr(atrLen)
rsi1 = ta.rsi(close, rsiLen)
c1 = close
c2 = close
h1 = high
l1 = low
// Manual execution reference: current bar open (next-bar-open proxy)
entryRef = open
lvl = f_nearestLevel(c1)
prox = proxATR * atr1
nearLevel = not na(lvl) and (math.abs(c1 - lvl) <= prox or (l1 <= lvl and h1 >= lvl))
crossUp = (c2 < lvl) and (c1 > lvl)
crossDown = (c2 > lvl) and (c1 < lvl)
sweepDownReclaim = (l1 < lvl) and (c1 > lvl)
sweepUpReject = (h1 > lvl) and (c1 < lvl)
momBull = rsi1 > 50
momBear = rsi1 < 50
buySignal = nearLevel and biasBull and momBull and ((useTrend and crossUp) or (useMeanRev and sweepDownReclaim))
sellSignal = nearLevel and biasBear and momBear and ((useTrend and crossDown) or (useMeanRev and sweepUpReject))
//====================
// SL/TP (ATR-based)
//====================
slBuy = entryRef - slATR * atr1
tp1Buy = entryRef + tp1ATR * atr1
tp2Buy = entryRef + tp2ATR * atr1
slSell = entryRef + slATR * atr1
tp1Sell = entryRef - tp1ATR * atr1
tp2Sell = entryRef - tp2ATR * atr1
//====================
// Plot signals
//====================
plotshape(buySignal, title="BUY", style=shape.labelup, text="BUY", location=location.belowbar, size=size.tiny)
plotshape(sellSignal, title="SELL", style=shape.labeldown, text="SELL", location=location.abovebar, size=size.tiny)
//====================
// Alerts (Dynamic) - set alert to "Any alert() function call"
//====================
if buySignal
msg = "US500 BUY | TF=" + timeframe.period + " | Bias=" + biasTF +
" | Lvl=" + str.tostring(lvl) +
" | EntryRef=" + str.tostring(entryRef) +
" | SL=" + str.tostring(slBuy) +
" | TP1=" + str.tostring(tp1Buy) +
" | TP2=" + str.tostring(tp2Buy)
alert(msg, alert.freq_once_per_bar_close)
if sellSignal
msg = "US500 SELL | TF=" + timeframe.period + " | Bias=" + biasTF +
" | Lvl=" + str.tostring(lvl) +
" | EntryRef=" + str.tostring(entryRef) +
" | SL=" + str.tostring(slSell) +
" | TP1=" + str.tostring(tp1Sell) +
" | TP2=" + str.tostring(tp2Sell)
alert(msg, alert.freq_once_per_bar_close)
RunRox - Pairs Strategy🧬 Pairs Strategy is a new indicator by RunRox included in our premium subscription.
It is a specialized tool for trading pairs, built around working with two correlated instruments at the same time.
The indicator is designed specifically for pair trading logic: it helps track the relationship between two assets, identify statistical deviations, and generate signals for opening and managing long/short combinations on both legs of the pair.
Below in this description I will go through the core functions of the indicator and the main concepts behind the strategy so you can clearly understand how to apply it in your trading.
📌 CONCEPT
The core idea of pair trading is to find and trade correlated instruments that usually move in a similar way.
When these two assets temporarily diverge from each other, a trading opportunity appears.
In such moments, the relatively overvalued asset is sold (short leg), and the relatively undervalued asset is bought (long leg).
When the spread between them narrows and both instruments revert back toward their typical relationship (mean), the position is closed and the trader captures the profit from this convergence.
In practice, one leg of the pair can end up in a loss while the other generates a larger profit.
Due to the difference in performance between the two assets, the combined result of the pair trade can still be positive.
✅ KEY FEATURES:
2 deviation types (Z-Score and S-Score)
Invert signals mode
Hedge Coefficient (position size balancing between both legs)
6 hedge modes
Entries based on Score or RSI
Extra entries based on Score or Spread
Stop Loss
Take Profit
RSI Filter
RSI Pivot Mode
Built-in Backtester Strategy
Lower Timeframe Backtester Strategy
Live trade panel for current position
Equity curve chart
21 performance metrics in the backtester
2 alert types
*And many more fine-tuning options for pair trading
🔗 SCORE
Score is the core deviation metric between the two assets in the pair.
For example, if you are trading ETHUSDT/BTCUSDT, the indicator analyzes the relationship ETH/BTC, and when one leg temporarily diverges from the other, this difference is reflected in the Score value.
In other words, Score shows how much the current spread between the two instruments deviates from its typical state and is used as the main signal source for pair entries and exits.
In the screenshot above you can see how Score looks in our indicator.
Depending on how large the difference is between the two assets, the Score value can move in a range from −N to +N
When Score is in the −N zone, this is a 🟢 long zone for the first asset and a short zone for the second.
Using the ETH/BTC example: when Score is deeply negative, you open a long on ETH and a short on BTC at the same time, then close both legs when Score returns back to the 0 zone (balance between the two assets).
When Score is in the +N zone, this is a 🔴 short zone for the first asset and a long zone for the second.
In the same ETH/BTC example: when Score is strongly positive, you short ETH and long BTC, and again close both positions when Score comes back to the neutral 0 zone.
☯️ Z/S SCORE
Inside the indicator we added two different formulas for calculating the spread between the two legs of the pair: Z-Score and S-Score.
These approaches measure deviation in different ways and can produce slightly different signals depending on the chosen pair and its behavior.
This allows you to switch between Z-Score and S-Score and choose the method that gives more stable and cleaner signals for your specific instruments.
As you can see in the screenshot above, we used the same pair but applied different Score types to measure the spread and deviation from the norm.
🟣 Z-Score – generated 9 entry signals .
It reacts to price fluctuations more smoothly and usually stays within a range of approximately −8 to +8 .
🟠 S-Score – generated 5 entry signals .
It reacts to price changes more aggressively and produces wider deviations, often reaching −15 to +15 .
This gives traders the choice between a more sensitive but smoother model (Z-Score) and a more selective, stronger-deviation model (S-Score)
⁉️ HOW DOES THE STRATEGY WORK
Here is a basic example of how you can trade this pair trading strategy using our indicator and its signals.
In the classic approach the trade consists of one initial entry and several scale-ins (averaging) if the spread continues to move against the position.
The first entry is opened when Score reaches a standard deviation of −2 or +2.
If price does not revert to the mean and moves further against the position so that Score expands to −3 or +3, the strategy performs the first scale-in.
If Score extends to −4 or +4, a second scale-in is added.
If the spread grows even more and Score reaches −5 or +5, a third scale-in is executed.
In our indicator the number of averaging steps can be up to 4 scale-ins .
After that the position waits until Score returns back to the 0 level , where the whole pair position is closed.
This is the standard model of classical pair trading.
However there are many variations:
using Stop Loss and Take Profit,
exiting earlier or later than the 0 zone,
scaling in not by Score but by Spread, since Score is not linear while Spread is linear,
entering when RSI on both tickers shows opposite extremes, for example RSI 20 on one asset and RSI 80 on the other, and so on.
The number of possible trading styles for this strategy is very large.
We designed the indicator to cover as many of these variations as possible and added flexible tools so you can build your own pair trading logic on top of it.
Below is an example of a classic pair trade with two entries: one main entry and one extra entry (scale-in) .
The pair SUIUSDT / PENGUUSDT shows a high correlation, and on one of the trades the sequence looked like this:
A −2 Score deviation occurred into the long zone and triggered the Main Entry .
🔹 Main Entry
Long SUIUSDT – Margin: 5,000 USD, Entry price: 1.5708
Short PENGUUSDT – Margin: 5,000 USD, Entry price: 0.011793
Price then moved further against the position, Score went deeper into deviation, and the strategy added one extra entry.
🔸 Extra Entry
Long SUIUSDT – Margin: 5,000 USD, Entry price: 1.5938
Short PENGUUSDT – Margin: 5,000 USD, Entry price: 0.012173
The trade was closed when Score reverted back toward the 0 zone (mean reversion of the spread):
❎ Exit
SUIUSDT P&L: −403.34 USD, Exit price: 1.5184
PENGUUSDT P&L: +743.73 USD, Exit price: 0.011089
✅ Total P&L: +340.39 USD
With a total margin of 10,000 USD used per side (20,000 USD combined), this trade yielded around +1.7% on the deployed margin.
On different assets the size and speed of the spread movement will vary, but the principle remains the same.
This is just one example to illustrate how the strategy works in practice using simplified theoretical balances.
⚙️ MAIN SETTINGS
After explaining how the strategy works, we can move to the indicator settings and their logic.
The first block is Main Settings, which controls how the pair is built, how the spread is calculated, and how the backtest is performed.
The core idea of the indicator is to backtest historical data, generate entry signals, show open-position parameters, and provide all necessary metrics for both discretionary and algorithmic trading.
This is a complete framework for analyzing a pair of assets and building a trading system around them. Below I will go through the main parameters one by one.
🔹 Exclude Dates
Allows you to exclude abnormal periods in the pair’s history to remove outlier trades from the backtest.
This is useful when the market experienced extreme news events, listing spikes, or other non-typical situations that distort statistics.
🔹 Pair
Here you select the second asset for your pair.
For example, if your main chart is BTCUSDT, in this field you choose a correlated asset such as ETHUSDT, and the working pair becomes BTCUSDT / ETHUSDT.
The indicator then calculates spread, Score, and all related metrics based on this asset combination.
🔹 Lower Timeframe
This is a special mode for backtesting on a lower timeframe while using a higher timeframe chart to extend the history limit.
For example, if your TradingView plan provides only 5,000 bars of history on the current timeframe, you can switch your chart to a higher timeframe and select a lower timeframe in this setting.
The indicator will then reconstruct the pair logic using up to 99,000 bars of lower timeframe data for backtesting.
This allows you to test the pair on a much longer historical period and find more stable combinations of assets.
🔹 Method
Here you choose which deviation model you want to use: Z-Score or S-Score.
Both methods calculate spread deviation but use different formulas, which can give different signal behavior depending on the pair.
Examples of these two methods are shown earlier in this description.
🔹 Period
This parameter defines how many bars are used to calculate the average deviation for the pair.
If you set Period = 300, the indicator looks back 300 bars and calculates the typical spread deviation over that window.
For example, if the average deviation over 300 bars is around 1%, then a move to 2% or more will push Z/S Score closer to its boundary levels, since such a deviation is considered abnormal for that lookback period.
A larger Period means that only bigger deviations will be treated as anomalies.
A smaller Period makes the model more sensitive and treats smaller deviations as anomalies.
This allows you to tune how aggressive or conservative your pair trading signals should be.
🔹 Invert
This setting is used for negatively correlated pairs.
Some instruments have a positive correlation in the range from +0.8 to +1.0 (strong positive correlation), while others show a negative correlation from −0.8 to −1.0, meaning they usually move in opposite directions.
A classic example is the pair EURUSD and DXY.
As shown in the screenshot above, these instruments often have strong negative correlation due to macro factors and typically move in opposite directions: when EURUSD is rising, DXY is falling, and vice versa.
Such pairs can also be traded with our indicator.
To do this, we use the Invert option, which effectively flips one of the assets (as shown in the screenshot below). After inversion, both instruments are brought to a “same-direction” behavior from the model’s point of view.
From there, you trade the pair in the same way as a positively correlated one:
you open both legs in the same direction (both long or both short) depending on the spread and Score, and then wait for the spread between the inverted pair to converge back toward its mean.
🔀 HEDGE COEFFICIENT
The next block of settings is related to the hedge coefficient.
This defines how much margin is allocated to each leg of the pair.
The classic approach in pair trading is to split the position equally between both assets.
For example, if you allocate 100 USD to a trade , the standard model would open 50 USD long on one asset and 50 USD short on the other.
This works well for pairs with similar volatility , such as BTCUSDT / ETHUSDT
However, if you use a pair like BTCUSDT / DOGEUSDT , the volatility of these assets is very different.
They can still be correlated, but their amplitude is not the same. While Bitcoin might move 2% , Dogecoin can move 10% over the same period.
Because of that, for pairs with strongly different volatility, we can use a hedge coefficient and, for example, enter with 30 USD on one leg and 70 USD on the other, taking the volatility difference into account.
This is the main idea behind the Hedge Coefficient section and its primary use.
The indicator includes 6 methods of calculating the coefficient:
Cumulative RMA
Beta OLS
Beta TLS
Beta EMA
RMA Range
RMA Delta
Each method uses a different formula to compute the hedge coefficient and to size the position based on different metrics of the assets.
We leave it to the trader to decide which algorithm works best for their specific pair and style.
Below are the settings inside this section:
🔹 Method
When Auto Hedge is enabled, you can select which method to use from the list above.
The chosen method will automatically calculate the hedge coefficient between the two legs.
🔹 Hedge Coefficient
This is the manual hedge ratio per trade when Auto Hedge is disabled.
By default it is set to 1, which means the position is opened 50/50 between the two assets.
🔹 Min Allowed Hedge Coef.
This is the minimum allowed hedge coefficient.
By default it is 0.2, which means the model will not go below a 20% / 80% split between the legs.
🔹 MA Length
For methods that use moving averages (for example Beta EMA), this parameter sets the period used to calculate the hedge coefficient.
🛠️ STRATEGY SETTINGS
The next important block is Strategy Settings .
Here you define the core parameters used for backtesting: trading commission, position size, entry / exit logic, Stop Loss, Take Profit, and other rules that describe how you want the strategy to operate.
Below are all parameters with a detailed explanation.
🔸 Commission %
In this field you set your broker’s fee percentage per trade .
The indicator automatically calculates the correct commission for each leg of every trade. You only need to input the real commission rate that your broker charges for volume. No additional manual calculations are required.
🔸 Main Entry Mode
There are two options for the main entry:
Score - This is the primary entry method based on Z/S Score.
When Score reaches the deviation level defined in the settings below, the strategy opens the first position.
For example, if you set “Entry at 2 deviations”, the trade will be opened when Score hits ±2.
RSI Only - Alternative entry method based on RSI divergence between the two assets.
The exact RSI levels are defined in the RSI settings section below.
For example, if you set the entry threshold at 30, then when one asset has RSI below 30 and the second one has RSI above 70, the first entry will be triggered.
🔸 Extra Entries Mode
This defines how scale-ins (averaging) are executed. There are two modes:
Score - Works the same way as the main entry, but for additional entries.
For example, the main entry can be at 2 deviations, the first scale-in at 3, the second at 4, etc.
Spread - This mode uses the Spread (difference between the two assets) starting from the main entry moment.
As the spread continues to widen, the strategy can add extra entries based on spread growth rather than Score.
Since Score is a non-linear metric and Spread is linear, in some configurations averaging by Spread can produce better results than averaging by Score. This is pair- and strategy-dependent. 🔸 Entry parameters
Deviation / Spread threshold
Entry size
Main Entry – first field (deviation / spread), second field (position size)
Entry 2 – first field (deviation / spread), second field (position size)
Entry 3 – first field (deviation / spread), second field (position size)
Entry 4 – first field (deviation / spread), second field (position size)
This allows you to define up to four scaling steps with different triggers and different sizing.
🔸 Exit Level
This parameter defines at what Score level you want to exit the trade.
By default it is 0, which means the backtester closes the position when Score returns to the neutral (0) zone.
You can also use positive or negative values. Example:
Assume your main entry is configured at a 3 deviation.
You can exit at the 0 level, or you can set Exit Level = 2.
If your initial entry was at −3, the position will be closed when Score reaches +2.
If your initial entry was at +3, the position will be closed when Score reaches −2.
This approach can increase the profit per trade due to a larger captured spread, but it may also increase the holding time of the position.
🔸 Stop Loss
Here you define the maximum loss per trade in PnL units.
If a trade reaches the negative PnL value specified in this field and the Stop Loss option is enabled, the indicator will close the trade at a loss.
The Cooldown parameter sets a pause after a losing trade:
the strategy will wait a specified number of bars before opening the next trade.
🔸 Take Profit
Works similar to Stop Loss but for profit targets.
You set the desired PnL value you want to reach.
The trade will be closed when either the Take Profit target is hit or when Score reaches the exit level defined in the settings, whichever occurs first (depending on your configuration).
🔸 Show Qty in currency
When enabled, trade size is displayed in currency (USD) instead of token quantity.
This is useful for quickly understanding position size in monetary terms.
You will see this in the Current Trade panel, which is described later.
🔸 Size Rounding
Controls how many decimal places are used when rounding position size (from 0 to 10 digits after the decimal).
This is also used for the Current Trade panel so you can adjust how detailed or compact the size display should be.
📊 RSI FILTERS
This section is used for additional trade filtering.
RSI can be used in two ways:
as a primary entry signal,
or as an extra filter for entries based on Z/S Score.
If in the Strategy Settings the Main Entry Mode is set to RSI, then RSI becomes the main trigger for opening a position.
In this case a trade is opened when the RSI of the two assets reaches opposite zones.
Example:
If the threshold is set to 30, then:
when one asset has RSI below 30, and
the second asset has RSI above 70 (100 − 30),
the strategy opens the first entry.
All extra entries after that will be executed either by Spread or by Z/S Score, depending on your Extra Entries Mode.
Below are the parameters in this block:
RSI Length – standard RSI period setting.
RSI Pivot Mode – when enabled, RSI is used as an additional filter together with Z/S Score. The indicator looks for a reversal pattern on RSI (pivot behavior). If RSI forms a reversal structure, the trade is allowed to open. If not, the signal is skipped until a proper RSI pivot is formed.
Entry RSI Filter – here you define the RSI thresholds used for RSI-based entries. These are the same boundary levels described in the example above.
Overall, this section helps filter out lower-quality trades using additional RSI conditions or lets you build RSI-only entry logic based on extreme levels.
🎨 MAIN CHART STYLING
This section controls the visual appearance of trades on the main chart.
You can customize how the second asset line is drawn, as well as the icons for entries, scale-ins, and exits, including their size and style.
▫️ Price Line
This is the line that shows the price of the second asset and the relative difference between the two instruments.
You can adjust the line thickness and color to make it more readable on your chart.
▫️ Adjust Price Line by Hedge Coefficient
When this option is enabled, the second asset’s line is normalized by the hedge coefficient.
If you turn it off, the hedge coefficient will not be applied to the second asset’s line, and it will be displayed in raw form.
▫️ Entry Label
Here you can customize how the entry markers look:
choose the color, icon style, and size of the label that marks each trade entry and scale-in on the chart.
▫️ Exit Label
Similarly, you can define the color, icon style, and size of the label used for exits.
This helps visually separate entries and exits and makes it easier to read the trade history directly from the chart.
🎯 INDICATOR PANEL
This section controls the settings of the indicator panel, which works like an oscillator and allows you to visualize multiple metrics in one place.
You can flexibly enable, style, and scale each parameter.
🔹 Score
Displays the main deviation metric between the two assets.
You can customize the color and line thickness of the Score plot.
🔹 Spread
Shows the spread between the two assets.
It starts calculating from the moment the trade is opened.
You can adjust its color and thickness for better visibility.
🔹 Total Profit
Displays the cumulative profit for this pair and strategy as a line that grows (or falls) over time.
Color, opacity, and line thickness can be customized.
🔹 Unrealized PNL
Once a trade is opened, this line shows the current PnL of the active position.
It also lets you see historical drawdowns on the pair.
Color and thickness can be adjusted.
🔹 Released PNL
Shows the realized PnL of each closed trade as bars.
Useful for quickly evaluating the result of every individual trade in the backtest.
🔹 Correlation
Plots the correlation coefficient between the two assets as a graph, so you can visually track how stable or unstable the relationship between them is over time.
🔹 Hedge Coefficient
Shows the hedge coefficient as a line, which helps understand how the model is rebalancing exposure between the two legs depending on their behavior.
For each metric there is also a 📎 Stretch option.
Stretch allows you to compress or expand the scale of a specific line to visually align metrics with different ranges on the same panel and make the chart easier to read.
📈 PROFIT CHART
Since TradingView does not natively support proper backtesting for pair trading, this indicator includes its own profit curve for the pair.
You can visually see how the strategy performed over historical data: whether there were deep drawdowns, abnormal profit spikes, or stable equity growth over time. This makes it much easier to evaluate the quality of the pair and the strategy on history.
In the settings of this section you can flexibly customize how the profit chart is displayed:
labels, position of the panel, padding, and other visual details.
Everything depends on your personal preferences, so we give full control over styling:
you can adjust the look of the profit chart to match your layout or completely hide it from the chart if you do not need it.
📌 CURRENT TRADE
This section controls the current trade table.
When there is an active trade on the chart, the panel displays all key information for the open position:
direction for each ticker (long or short),
required position size for each leg,
entry price for both assets,
and real-time PnL for each leg separately,
so you always have a clear view of the current situation.
The main thing you can do with this table is customize its appearance:
you can change the size, position on the chart, background and text colors, as well as separate coloring for positive / negative PnL and different colors for long and short positions.
📅 BACKTEST RESULTS
The next key block is Backtest Results.
This results table with detailed metrics gives you an extended view of how the pair and strategy perform: win rate, profit factor, long/short breakdown, and more than 20 additional stats that help you evaluate the potential of your setup.
⚠️ First of all, it is important to note ⚠️
past performance does not guarantee future results.
Every trader must keep this in mind and factor these risks into their strategy.
The table shows metrics in three cuts:
All Entries
Main Entries
Extra Entries (scale-ins)
Core metrics:
Profit – total profit for each entry type.
Winrate – win rate for this pair.
Profit Factor – ratio of gross profit to gross loss for the strategy.
Trades – number of trades in the backtest.
Wins – number of winning trades.
Losses – number of losing trades.
Long Profit – profit generated by long positions.
Short Profit – profit generated by short positions.
Longs – total number of long trades.
Shorts – total number of short trades.
Avg. Time – average time spent in a trade.
Additional metrics for a deeper evaluation of the pair:
Correlation – current correlation between the two assets in the pair.
Bars Processed – number of bars used in the analysis.
Max Drawdown – maximum historical drawdown of the strategy.
Biggest Loss – the largest single losing trade in the backtest.
Recommended Hedge – recommended hedge coefficient based on historical behavior.
Max Spread – maximum positive spread observed in history.
Min Spread – maximum negative spread observed in history.
Avg. Max Spread – average of positive extreme spread values (above 0).
Avg. Min Spread – average of negative extreme spread values (below 0).
Avg Positive Spread – average positive spread across all trades (only values above 0).
Avg Negative Spread – average negative spread across all trades (only values below 0).
Current Spread – current spread between the assets when a trade is open.
These metrics together allow you to quickly assess how stable the pair is, how the risk/return profile looks, and whether the strategy parameters are suitable for live trading. You can fully customize this results table to fit your workflow:
hide metrics you don’t need, change colors, opacity, and other visual styles, and reorder the focus of the stats according to your trading style.
This way the backtest block can show only the metrics that matter to you most and remain clean and readable during analysis.
📣 ALERTS
The next section is dedicated to alerts.
Here you can configure all signals you need, both for manual trading and for full automation of this pair trading strategy. This block is designed to cover most practical use cases. The indicator supports two alert modes:
Single Alert – one universal custom alert for all events.
Two Alerts – separate alerts for each ticker so you can receive different messages per asset.
Available alert events:
Main Entry – when the main entry is triggered.
Entry 2 – when the first scale-in is executed.
Entry 3 – when the second scale-in is executed.
Entry 4 – when the third scale-in is executed.
Exit Alert – when the position is closed.
StopLoss Alert – when Stop Loss is hit.
TakeProfit Alert – when Take Profit is hit.
All alerts are fully customizable and support a set of placeholders for building structured messages or JSON payloads.
🔹1 Alert Type
List of supported placeholders: {{event}} – trigger name ('Entry 1', 'Exit').
{{dir_1}} – 'Long' or 'Short' for the main ticker.
{{dir_2}} – 'Long' or 'Short' for the other ticker.
{{action_1}} – 'Buy', 'Sell' or 'Close' for the main ticker.
{{action_2}} – 'Buy', 'Sell' or 'Close' for the other ticker.
{{price_1}} – price for the main ticker.
{{price_2}} – price for the other ticker.
{{qty_1}} – order size for the main ticker.
{{qty_2}} – order size for the other ticker.
{{ticker_1}} – main ticker (e.g. 'BTCUSD').
{{ticker_2}} – other ticker (e.g. 'ETHUSD').
{{time}} – candle open time in UTC.
{{timenow}} – signal time in UTC.
🔹2 Alert Type
List of supported placeholders: {{event}} – trigger name ('Entry 1', 'Exit', 'SL', 'TP').
{{action}} – 'Buy', 'Sell' or 'Close'.
{{price}} – order price.
{{qty}} – order size.
{{ticker}} – ticker (e.g. 'BTCUSD').
{{time}} – candle open time in UTC.
{{timenow}} – signal time in UTC. You can use these placeholders to build any JSON structure or custom alert text required by your trading bot, exchange API, or automation service.
In this post I’ve explained how the indicator works, the core concept behind this pair trading strategy, and shown practical examples of trades together with a detailed breakdown of each unique feature inside the tool.
We have invested a lot of work into building this indicator and we truly hope it will help you trade pair strategies more efficiently and more profitably by giving you structured, strategy-specific information that is difficult to obtain in any other way.
⚠️ Please also remember that past performance does not guarantee future results.
Always evaluate the risks, the robustness of your setup, and your own risk tolerance before entering any position, and make independent, well-considered decisions when using this or any other strategy.
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