DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
"rsi" için komut dosyalarını ara
Dynamic RSI Mean Reversion StrategyDynamic RSI Mean Reversion Strategy
Overview:
This strategy uses an RSI with ATR-Adjusted OB/OS levels in order to enhance the quality of it's mean reversion trades. It also incorporates a form of trend filtering in an effort to minimize downside and maximize upside. The backtest has fewer trades, as it uses substantial filtering to enhance trade quality. As you can see, I didn't cherry pick the results, so the results aren't the most beautiful thing you'll see in your life. I did this to ensure nobody gets misled. If you need a higher frequency of trades, consider removing the trend filter or increasing the length of the EMAs used for trend detection.
Features:
Dynamic OB/OS Levels: Uses ATR to adjust overbought and oversold thresholds dynamically, making the RSI more responsive in varying volatility conditions. This approach enhances signal strength by expanding the RSI range in high volatility and tightening it in low volatility.
Mean Reversion Focus: Designed for mean reversion but incorporates a trend-following filter to reduce countertrend trades. When the RSI is high, it often indicates an uptrend, so a trend filter prevents shorting in these cases and the same goes for downtrends and longing.
Trend Filtering: A moving average cross trend filter checks for the trend direction, with the RSI signal line color-coded to reflect trend shifts. Entries occur when the RSI crosses above or below the dynamic thresholds and is not a countertrend trade.
Stop Losses: Stop losses are set based on ATR distance from the entry price, providing volatility-adjusted protection.
Note:
If you're using this strategy on assets with a higher price, remember to increase the initial capital in the strategy settings. Otherwise, the strategy won't generate any (or many) trades and you'll end up with some inaccurate results.
Recommended Use:
Test it on different assets and timeframes. I’ve found the best results with standard RSI inputs, a relatively slow ATR, and a slower MA cross for trend filtering. Thus, the defaults are set that way. If the trend metrics are too slow, you’ll filter out too many good trades while allowing crummy ones; if too fast, most trades may be filtered out. As always, this has a lot of configurability so experiment to find the balance that works for your trading style.
Bullish B's - RSI Divergence StrategyThis indicator strategy is an RSI (Relative Strength Index) divergence trading tool designed to identify high-probability entry and exit points based on trend shifts. It utilizes both regular and hidden RSI divergence patterns to spot potential reversals, with signals for both bullish and bearish conditions.
Key Features
Divergence Detection:
Bullish Divergence: Signals when RSI indicates momentum strengthening at a lower price level, suggesting a reversal to the upside.
Bearish Divergence: Signals when RSI shows weakening momentum at a higher price level, indicating a potential downside reversal.
Hidden Divergences: Looks for hidden bullish and bearish divergences, which signal trend continuation points where price action aligns with the prevailing trend.
Volume-Adjusted Entry Signals:
The strategy enters long trades when RSI shows bullish or hidden bullish divergence, indicating an upward momentum shift.
An optional volume filter ensures that only high-volume, high-conviction trades trigger a signal.
Exit Signals:
Exits long positions when RSI reaches a customizable overbought level, typically indicating a potential reversal or profit-taking opportunity.
Also closes positions if bearish divergence signals appear after a bullish setup, providing protection against trend reversals.
Trailing Stop-Loss:
Uses a trailing stop mechanism based on ATR (Average True Range) or a percentage threshold to lock in profits as the price moves in favor of the trade.
Alerts and Custom Notifications:
Integrated with TradingView alerts to notify the user when entry and exit conditions are met, supporting timely decision-making without constant monitoring.
Customizable Parameters:
Users can adjust the RSI period, pivot lookback range, overbought level, trailing stop type (ATR or percentage), and divergence range to fit their trading style.
Ideal Usage
This strategy is well-suited for trend traders and swing traders looking to capture reversals and trend continuations on medium to long timeframes. The divergence signals, paired with trailing stops and volume validation, make it adaptable for multiple asset classes, including stocks, forex, and crypto.
Summary
With its focus on RSI divergence, trailing stop-loss management, and volume filtering, this strategy aims to identify and capture trend changes with minimized risk. This allows traders to efficiently capture profitable moves and manage open positions with precision.
This Strategy BEST works with GLD!
Multi Timeframe RSI Buy Sell Strategy [TradeDots]The "Multi Timeframe RSI Buy/Sell Strategy" is a trading strategy that utilizes Relative Strength Index (RSI) indicators from multiple timeframes to provide buy and sell signals.
This strategy allows for extensive customization, supporting up to three distinct RSIs, each configurable with its own timeframe, length, and data source.
HOW DOES IT WORK
This strategy integrates up to three RSIs, each selectable from different timeframes and customizable in terms of length and source. Users have the flexibility to define the number of active RSIs. These selections visualize as plotted lines on the chart, enhancing interpretability.
Users can also manage the moving average of the selected RSI lines. When multiple RSIs are active, the moving average is calculated based on these active lines' average value.
The color intensity of the moving average line changes as it approaches predefined buying or selling thresholds, alerting users to potential signal generation.
A buy or sell signal is generated when all active RSI lines simultaneously cross their respective threshold lines. Concurrently, a label will appear on the chart to signify the order placement.
For those preferring not to display order information or activate the strategy, an "Enable backtest" option is provided in the settings for toggling activation.
APPLICATION
The strategy leverages multiple RSIs to detect extreme market conditions across various timeframes without the need for manual timeframe switching.
This feature is invaluable for identifying divergences across timeframes, such as detecting potential short-term reversals within broader trends, thereby aiding traders in making better trading decisions and potentially avoiding losses.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 60%
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
TradeDots Stochastic Z-Score
Trailing Stop with RSI - Momentum-Based StrategyTrailing Stop with RSI - Momentum-Based Strategy
Description:
The Trailing Stop with RSI strategy combines momentum analysis and trailing stop functionality to help traders identify potential entry and exit points in their trading decisions. This strategy is suitable for various markets and timeframes.
Key Features:
Momentum Analysis: The strategy incorporates momentum indicators to identify potential buying and selling opportunities based on momentum shifts in the price.
Trailing Stop Functionality: The strategy utilizes a trailing stop to protect profits and dynamically adjust the stop loss level as the trade moves in the desired direction.
RSI Confirmation: The Relative Strength Index (RSI) is included to provide additional confirmation for trade entries by considering overbought and oversold conditions.
How to Use:
Entry Conditions: Long positions are triggered when positive momentum is detected, and the RSI confirms an oversold condition. Short positions are triggered when negative momentum is detected, and the RSI confirms an overbought condition.
Trailing Stop Activation: Once a position is opened, the trailing stop is activated when the specified profit level (as a percentage) is reached.
Trailing Stop Level: The trailing stop maintains a stop loss level at a specified distance (as a percentage) from the highest profit achieved since opening the position.
Exit Conditions: The trailing stop will trigger an exit and close all positions when the trailing stop level is breached.
Markets and Conditions:
This strategy can be applied to various markets, including stocks, forex, cryptocurrencies, and commodities. It can be used in trending and ranging market conditions, making it versatile for different market environments.
Important Considerations:
Adjust Parameters: Traders can modify the length of the momentum and RSI indicators to suit their preferred timeframe and trading style.
Risk Management: It is recommended to consider appropriate position sizing, risk-to-reward ratios, and overall risk management practices when using this strategy.
Backtesting and Optimization: Traders are encouraged to backtest the strategy on historical data and optimize the parameters to find the best settings for their chosen market and timeframe.
By incorporating momentum analysis, trailing stop functionality, and RSI confirmation, this strategy aims to provide traders with a systematic approach to capturing profitable trades while managing risk effectively.
3C MACD & RSI Scalper no repaintThis is not a set and forget strategy. It needs constant tweaking to maintain a high winrate. Also what works on one pair can be horrible on another.
This strategy works best on the 1 min or 5 min TF but also works well on the 15 min. Haven't done any testing in higher TF's as im only interested in scalping.
If enabled you can retrive data on the MACD and RSI from any timeframe.
The strategy do not repaint.
You can filter on sessions as well as days. Often trading during say only the EU times and not trading during weekends yields better results. This is because weekeds and eg. the Asia Sessions are alot less volatile.
You do not need a 3c subscription to run this strategy as the bot turns on and off the bot itself.
Instructions for the 3commas connector:
1. First, you need to prepare 3commas Long/Short bots that will only listen to custom TV signals.
2. Inputs for the 3commas bot can be found at the end of the user inputs.
3. Once you have entered the required details into the inputs, turn on 3commas comments. They should appear on the chart (looks messy).
4. Now you can add the alert where you should paste the 3commas Webhook URL: 3commas.io
5. For the alert message text insert the placeholder {{strategy.order.comment}} and delete the rest. 6. Once the alert is saved, you can turn off those 3commas comments to have a clearer chart.
7. With a new alert, the bot and trade should launch.
Long or Short trades are determined with a crossing of the fast MA over the slow MA for Long and the opposite for Short. Trades should only happen close to the crossovers.
You can select from various different MA's and of course lenghts. I often find that using HEMA as the fast MA and DEMA as the slow give more trades while also maintaining a high winrate.
Then for Long we use the MACD indicator where we look for high peaks in negative values for Long and vice versa for Shorts. These should be significantly higher than other peaks (or if you will lower peaks for a Long).
The key is to detect high peaks on the histogram, which we will try to achieve by checking if the last 2 values were higher than X bars back. If you want to make it even more specific, then you can turn on the additional checkbox which compares the current value to the average value of X bars back, and if it is greater than, say, 72% the value of the average then it's ok to enter the trade.
The RSI filter, sets the maximum RSI threshold for a long position and the minimum for a short. By default and what i recomend is that you enter Longs when RSI is above 50 and shorts when RSI are below 50.
-You can set confirmation of the trade direction with RSI, i.e. for Long the RSI must rise a specified number of bars back, vice versa for Short.
Enabling the pullback filter is great to avoid Longing tops and Shorting bottoms.
Whats ahead. I really want to incorporate RSI divergencies, but haven't figured out how yet. Any other ideas would be greatly appreciated.
Have a look at my other strategies. They are similar to this but works abit differently.
The 3 strike line and the engulfing candles are not something that has an impact on the script yet, and might never be. But i do like to turn them on for a visual to see if the trade the strategy opened is a good one.
BB + RSI double strategy developeI'm Korean, and it may not be enough to explain this script in English. I feel sorry for the users of TradingView for this lack of English skills. If you are Korean, please return it to the translator using Papago. It will be a useful manual for you.
This script referenced Chartart's Double Strategy. But there are some changes in his script.
0. Basically, when you break through the top or bottom of the 100th period balliser band and come back into the band, you track the overbuying and overselling of the RSI to determine your position entry. The order is triggered only when both conditions are satisfied at the same time. However, only one condition applies to clearing the position. This is because it is most effective in reducing risk and increasing assets in terms of profit and loss.
1. This script is optimized for 15 minutes of bitcoin futures chart and API via webbook alert. By default, 10x leverage usage and 10 pyramids are applied.
2. Setting a chart period other than 15 minutes will not guarantee sufficient effectiveness. It can also be applied to Ethereum , but it is not recommended to apply to other symbols.
3. I added Enable Date Filter because Chartart's script could not apply the strategy to the user's desired period. This feature allows you to set a period of time when you do not want to use the strategy. You can also uncheck it if you don't want to fully use this feature. Please remember that it is an exclusion period, not a usage period. With this feature, we can see the effectiveness of the strategy from a point in time, not from the entire period. You can also clearly differentiate the effectiveness of the strategy from the point you use it.
4. You can also stop using strategies at certain times of the day when you don't want to apply them. This works similarly to the Enalbe Date Filter described above. This allows you to sleep comfortably even if you don't fully trust this strategy.
5. The period, overbuying, and overselling figures of RSI can be set individually. For example, when you take a long position, you can set the RSI to a period of 7, and at the same time, the RSI entering the short position can be set to a period of 14. You can also set the base figures for overbuying and overselling to levels that you think are reasonable. This figure works in conjunction with the Bollinger Band and affects position entry when it is crossed or returned.
6. Based on API futures trading, basic Sleepy and commission are applied. This is geared towards market price transactions. This makes your revenue look more reasonable.
Thank you very much, Chartart. You are a genius.
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저는 한국인이고, 영어로 이 스크립트를 설명하는 것이 어렵기 때문에 설명이 부족할 수 있습니다. 이런 영어 능력 부족에 대해서 TradingView 사용자들에게 미안하게 생각합니다. 만약 당신이 한국인이라면 파파고를 사용하여 번역기에 돌려주십시오. 당신에게 유익한 설명서가 될 것입니다.
이 스크립트는 Chart art의 Double Strategy를 참조했습니다. 그러나 그의 스크립트에서 달라진 점이 몇 가지 있습니다.
0. 기본적으로 100기간의 볼린져밴드의 상단 또는 하단을 돌파한 뒤 다시 밴드 안으로 들어올 때 RSI의 과매수, 과매도를 추적하여 포지션 진입을 결정합니다. 두 가지 조건이 동시에 만족되어야만 주문이 트리거 됩니다. 그러나 포지션을 청산하는 것에는 볼린져밴드 하나의 조건만 적용합니다. 여러가지 테스트를 거친 결과 이것이 손익 면에서 가장 효과적으로 리스크를 줄이고 자산을 늘리는 것에 효율적이기 때문입니다.
1. 이 스크립트는 15분의 비트코인 선물 차트와 webhook alert을 통한 API에 최적화되어 있습니다. 기본적으로 10배의 레버리지 사용과 10개의 피라미딩이 적용되어 있습니다.
2. 15분 외에 다른 차트 기간을 설정한다면 충분한 효과를 보장할 수 없습니다. 또한 이더리움에도 적용할 수 있지만, 그 외에 다른 심볼에는 적용하지 않는 것을 권장합니다.
3. Chart art의 스크립트는 전략을 사용자가 원하는 기간에 적용할 수 없었기 때문에, 저는 Enable Date Filter를 추가하였습니다. 이 기능을 통해 전략 사용을 원하지 않는 기간을 설정할 수 있습니다. 또한 이 기능을 완전히 사용하고싶지 않다면 체크를 해제할 수 있습니다. 사용 기간이 아닌 제외 기간인 점을 상기하시길 바랍니다. 이 기능을 통해 우리는 전체 기간이 아닌 가까운 특정 시점부터의 전략 적용 효과를 확인할 수 있습니다. 또한 사용자가 전략을 사용한 시점부터의 효과를 명백히 구분할 수 있습니다.
4. 또한 사용자가 적용을 원하지 않는 하루 중의 특정 시간대에 전략 사용을 멈출 수도 있습니다. 이는 위에 설명한 Enalbe Date Filter와 유사하게 작동합니다. 이를 통해 당신이 온전히 이 전략을 신뢰하지 못하여도 당신은 마음 편하게 잠에 들 수 있습니다.
5. RSI의 기간 및 과매수, 과매도 수치를 개별적으로 설정할 수 있습니다. 예를 들어 당신이 롱 포지션을 취할 때에는 RSI를 7의 기간으로 설정할 수 있고, 동시에 숏 포지션을 진입하는 RSI는 14의 기간으로 설정될 수 있습니다. 또한 과매수 및 과매도의 기준 수치를 당신이 합리적이라고 생각하는 수준으로 설정할 수 있습니다. 이 수치는 볼린져밴드와 함께 작동하여 그것을 넘어서거나 다시 되돌아올 때 포지션 진입에 영향을 미칩니다.
6. API 선물거래를 기준으로 하여 기본적인 슬리피지와 커미션이 적용되어있습니다. 이는 시장가 거래에 맞춰져 있습니다. 이는 당신의 수익을 좀 더 합리적인 수치로 보일 수 있게 합니다.
Chartart에게 특별히 감사합니다. 당신은 천재입니다.
Double RSI Simple Scalper @DaviddTechIn this script, I will be sharing a Double RSI trading strategy for day trading and swing trading crypto, forex and stocks.
The Relative Strength Index or RSI indicator is a very popular indicator.
This strategy uses a Multi timeframe RSI + a normal RSI to find entries .
LONG :
RSI on same timeframe above 50
RSI on 12 hour timeframe above 60
SHORT
RSI on same timeframe below 50
RSI on 12 hour timeframe below 40
Use ATR for Take profit or %
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
If you have any questions or feedback, please let me know in the comments.
Godtrix's Crypto HA+RSI+EMA+ATH+DCA Strategy 3.0New Updates is here! Upgrade from previous version 2.0 (Please avoid using v2.0 as it's outdated.)
Great stability, Repaint bug fixes, and New features!
==================
| Introduction: |
==================
This is a Long Term Strategy, using compounding profit method, it can generate high returns, but it also risk for losses, this can be overcome if you set Stop Loss to over 25% for bitcoin & 60% for Altcoins.
Best profit plan with this strategy is you trade on Future leverage while you hold on to your coin, so that when price goes up, your coin value goes up, and at the same time, you trade with your leverage to earn even more, easily doubling up your total profit.
Benefits:
Fully customizable and you can easily personalized it and FINE TUNE it according to the market or coin you trading on.
The strategy is based on REAL PRACTICAL trading skills, so it works in real-world.
I fixed the "repainting" issue so the backtest it shows you IS ACCURATE when you run for real-time.
We all know one indicator is not going to help you win your trades, so this strategy combines ALL three: EMA for long+short term trend, HA for short term trend, RSI for entry/exit
This strategy is designed for LONG trade (Buy low, Sell high), not for SHORT trade.
This is not day trading, it is more to mid-term trading, where there's only few trades per month
Mainly is coded to work with 3Commas bot auto trading, so you only need to key in your Bot ID & Email Token.
Bot trading NOTE:
- You need to replace the Alert Message with this: {{strategy.order.alert_message}}
- And you'll need the Bot's webhook Url set with the Alert too.
- One Alert will work for both Buy and Sell Order
- If you using other Bot service, you can enter Custom Command in Input Settings too, it works on any bot service.
Lastly,
regarding the setting advice, I would say you try playing with different settings and your objective is to achieve a backtest result that has:
1) Profitable is > 80%
2) Losing trades is nearly 0 or below 25% of your winning trades. Trick is using far stop loss %
3) Net Profit be almost same or more than "Buy & Hold Profit"
==================
| Latest Updates: |
==================
=| Tidy Up Codings |=
- Group input fields so it'll be easier to understand and find the settings
- Upgrade code for obsolete 'transp' options
=| Repaint Issues |=
- Previous v2.0's RSI has repaint issue, creating false result against real-time data. I've fixed this.
- Also done fine-tuning other parts of the codes to prevent possible repaint issues.
=| Bot System |=
- Improved Custom Bot system, so that you're able to set dynamic order size/quantity with my custom keyword: and
Base Order Example:
{ 'message_type': 'bot', 'bot_id': 1234567, 'email_token': 'abcdefgh-1234-1234-1234', 'base_order': , 'delay_seconds': 0, 'pair': 'USDT_BTC'}
=| EMA Downtrend Exit |=
- Added option for you to decide whether to close position when detected EMA Long term downtrend.
=| EMA 2 (short term) is removed |=
- After several test, I've decided to remove this because it doesn't contribute to improving the results.
=| Heikin Ashi System |=
- Improved the chart display, now you'll see the HA candle 'shadowed' behind, so you'll see both actual price candle and HA candle at same time.
- Added the system that detect the HA candle sizes to decide specifically when it's suitable for Entry and Exit.
>> For "Entry/Exit Range"
- This means after HA is valid for Entry or Exit, how many following bars are allowed to stay valid so it will match other requirements to be completely fulfilled for Entry or Exit.
>> For "Crossing Interval"
- This means after detected HA line crossover, how many HA intervals is allow to Entry or Exit
>> For "Reversed Exit"
- This function let's you decide whether to close position if after HA bull (green candle) changed into HA Bear (red candle)
=| RSI A Entry |=
- Added option to avoid Entry during NTZ (No trade Zone)
- Also added the option to avoid next same condition RSI A entry too soon
=| RSI B Entry |=
- This function is for Entry if RSI is going very low, mostly due to bigger price drops in short time, it's good for buying DIP, however we'll never be able to know when a DIP ends, so do more test on this settings before put into real use.
- Added "avoid" options to help avoid getting Entry at "false" DIP, more like a short & fast pullback which causes RSI to drop very low but actually the price is near ATH or Recent High.
- Added option for Entry with Trailing Price Lower Buy combine with a limit order that grabs low price, so whichever it fulfill first.
=| New: Avoid Entry |=
- Well, it's a pain if you bought at the top, so I've added two options that will avoid buying near ATH and Recent High.
=| Time-limit Removed |=
- Sorry that I've missed look on the script policy which I'm not allowed to put a time-limit for public scripts.
=| System Improvements |=
- HA condition detection is optimized and bug fixed
- RSI values now reads accurately on each bar despite using higher timeframe, especially when moving to next interval
=| New: Dollar Cost Averaging (DCA) Orders |=
- Although DCA strategy is not appealing for Long term strategy, but I've added it for your extra options and flexibilities.
- The settings are quite straight-forward and standard, so I won't be explaining here.
=| New: Backtest Start & End Date |=
- This is very good function when you need more accurate result starting at specific date & time.
- Also if you set the date & time for your real trading starts, it'll much result the same as your actual trading records, which helps you to see clearer and make future decisions.
Any found bugs or flaws, please feel free to PM me, I can't get notifications from comments here below, so I'll not able to reply you the soonest possible, still not sure how to turn on notification for comments, anyone who knows can PM and teach me, lol... Thanks in advance!
Well, this is free version, hope it helps! Feedbacks are all welcome :)
(To Moderators: I've fully use the "f_security()" guideline, but instead of creating a separate function, I apply directly on all security() function. Please don't ban my script before fully check if I've truly fixed repaint. Thank you.)
BITSTAMP:BTCUSD COINBASE:BTCUSD COINBASE:ETHUSD BINANCE:BNBUSDT
Bollinger Band with RSI
Using combination bollinger band and RSI indicator as guide to predict price volatility and the best entry point. The strategy logic is pretty straightforward where we're interested with close price that touches the lower bollinger band ; there are only two scenarios that will happened after the price reaches the lower band; the price might rebound from the lower bollinger band or drop lower and continue downtrend. To confirm the price movement, we use a second indicator which is the RSI to further investigate the price trend. For example, if the price reaches the lower bollinger band but the RSI value is not in the oversold region, we can conclude that the price will go lower and continue downtrend. If the RSI value is in the oversold region, we can use this price area as our entry point.
Stop loss is necessary to avoid losing too much capital if the RSI value lingers too long in the oversold region.
Best take profit area is when the price rebound above the middle bollinger band area/upper bollinger band or when the RSI reaches overbought region; whichever comes first.
Long entry:
RSI < 30 & close price < lower bollinger band
Exit entry:
RSI > 70
Default stop loss: -25%
EMA Cross + RSI + ADX - Autotrade Strategy V2Overview
A versatile trend-following strategy combining EMA 9/21 crossovers with RSI momentum filtering and optional ADX trend strength confirmation. Designed for both cryptocurrency and traditional futures/options markets with built-in stop loss management and automated position reversals.
Key Features
Multi-Market Compatibility: Works on both crypto futures (Bitcoin, Ethereum) and traditional markets (NIFTY, Bank NIFTY, S&P 500 futures, equity options)
Triple Confirmation System: EMA crossover + RSI filter + ADX strength (optional)
Automated Risk Management: 2% stop loss with wick-touch detection
Position Auto-Reversal: Opposite signals automatically close and reverse positions
Webhook Ready: Six distinct alert messages for automation (Entry Buy/Sell, Close Long/Short, SL Hit Long/Short)
Performance Metrics
NIFTY Futures (15min): 50%+ win rate with ADX filter OFF
Crypto Markets: Requires extensive backtesting before live deployment
Optimal Timeframes: 15-minute to 1-hour charts (patience required for higher timeframes)
Strategy Logic
Entry Signals:
LONG: EMA 9 crosses above EMA 21 + RSI > 55 + ADX > 20 (if enabled)
SHORT: EMA 9 crosses below EMA 21 + RSI < 45 + ADX > 20 (if enabled)
Exit Signals:
Opposite EMA crossover (auto-closes current position)
Stop loss hit at 2% from entry price (tracks candle wicks)
Technical Indicators:
Fast EMA: 9-period (short-term trend)
Slow EMA: 21-period (primary trend)
RSI: 14-period with 55/45 thresholds (momentum confirmation)
ADX: 14-period with 20 threshold (trend strength filter - optional)
Market-Specific Settings
Traditional Markets (NIFTY, Bank NIFTY, S&P Futures, Options)
Recommended Settings:
ADX Filter: Turn OFF (less choppy, cleaner trends)
Timeframe: 15-minute chart
Win Rate: 50%+ on NIFTY Futures
Why No ADX: Traditional markets have more institutional participation and smoother price action, making ADX unnecessary
Cryptocurrency Markets (BTC, ETH, Altcoins)
Recommended Settings:
ADX Filter: Turn ON (ADX > 20)
Timeframe: 15-minute to 1-hour
Extensive backtesting required before live trading
Why ADX: Crypto markets are highly volatile and prone to false breakouts; ADX filters low-quality chop
Best Practices
✅ Backtest thoroughly on your specific instrument and timeframe
✅ Use larger timeframes (1H, 4H) for higher quality signals and better risk/reward
✅ Adjust RSI thresholds based on market volatility (try 52/48 for more signals, 60/40 for fewer but stronger)
✅ Monitor ADX effectiveness - disable for traditional markets, enable for crypto
✅ Proper position sizing - adjust default_qty_value based on your capital and instrument price
✅ Paper trade first - test for 2-4 weeks before risking real capital
Risk Management
Fixed 2% stop loss per trade (adjustable)
Stop loss tracks candle wicks for accurate execution
Positions auto-reverse on opposite signals (no manual intervention needed)
0.075% commission built into backtest (adjust for your broker)
Customization Options
All parameters are adjustable via inputs:
EMA periods (default: 9/21)
RSI length and thresholds (default: 14-period, 55/45 levels)
ADX length and threshold (default: 14-period, 20 threshold)
Stop loss percentage (default: 2%)
Webhook Automation
This strategy includes six distinct alert messages for automated trading:
"Entry Buy" - Long position opened
"Entry Sell" - Short position opened
"Close Long" - Long position closed on opposite crossover
"Close Short" - Short position closed on opposite crossover
"SL Hit Long" - Long stop loss triggered
"SL Hit Short" - Short stop loss triggered
Compatible with Delta Exchange, Binance Futures, 3Commas, Alertatron, and other webhook platforms.
Important Notes
⚠️ Crypto markets require extensive backtesting - volatility patterns differ significantly from traditional markets
⚠️ Higher timeframes = better results - 15min works but 1H/4H provide cleaner signals
⚠️ ADX toggle is critical - OFF for traditional markets, ON for crypto
⚠️ Not financial advice - always conduct your own research and use proper risk management
⚠️ Past performance ≠ future results - backtest results may not reflect live trading conditions
Disclaimer
This strategy is for educational and informational purposes only. Trading futures and options involves substantial risk of loss. Always backtest thoroughly, start with paper trading, and never risk more than you can afford to lose. The author assumes no responsibility for any trading losses incurred using this strategy.
30-70 RSI Strategy with Colored BarThis script colors price bars based on Relative Strength Index (RSI) levels, giving traders a quick and visual way to assess overbought or oversold market conditions directly on the chart.
📈 Key Features:
✅ RSI-Based Bar Coloring:
Green bars when RSI is above the upper threshold (default 70) – suggests bullish momentum.
Red bars when RSI is below the lower threshold (default 30) – indicates bearish pressure.
Bars remain uncolored when RSI is between thresholds – a neutral zone.
🔧 Customizable RSI Settings:
Adjustable RSI length (default: 14 periods)
Adjustable overbought/oversold levels (default: 70/30)
🧠 Helps traders:
Quickly spot potential reversals or trend continuations
Visually align price action with momentum
🛠️ Usage:
Ideal for trend-following, reversal, and momentum strategies.
Works across any timeframe (1m, 5m, 1h, daily, etc.).
Ichimoku + RSI + MACD Strategy1. Relative Strength Index (RSI)
Overview:
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold conditions in a market.
How to Use with Ichimoku:
Long Entry: Look for RSI to be above 30 (indicating it is not oversold) when the price is above the Ichimoku Cloud.
Short Entry: Look for RSI to be below 70 (indicating it is not overbought) when the price is below the Ichimoku Cloud.
2. Moving Average Convergence Divergence (MACD)
Overview:
The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. It consists of the MACD line, signal line, and histogram.
How to Use with Ichimoku:
Long Entry: Enter a long position when the MACD line crosses above the signal line while the price is above the Ichimoku Cloud.
Short Entry: Enter a short position when the MACD line crosses below the signal line while the price is below the Ichimoku Cloud.
Combined Strategy Example
Here’s a brief outline of how to structure a trading strategy using Ichimoku, RSI, and MACD:
Long Entry Conditions:
Price is above the Ichimoku Cloud.
RSI is above 30.
MACD line crosses above the signal line.
Short Entry Conditions:
Price is below the Ichimoku Cloud.
RSI is below 70.
MACD line crosses below the signal line.
Exit Conditions:
Exit long when MACD line crosses below the signal line.
Exit short when MACD line crosses above the signal line.
Stochastic RSI OHLC StrategyThe script titled "Stochastic RSI High Low Close Bars" is a versatile trading strategy implemented in Pine Script, designed for TradingView. Here's an overview of its features:
Description
This strategy leverages the Stochastic RSI to determine entry and exit signals in the market, focusing on high, low, and close values of the indicator. It incorporates various trading styles, stop-loss mechanisms, and multi-timeframe analysis to adapt to different market conditions.
Key Features
Stochastic RSI Analysis:
Uses the Stochastic RSI to identify potential entry points for long and short positions.
Tracks high, low, and close values for more granular analysis.
Multiple Trading Styles:
Supports diverse trading styles like Volume Color Swing, RSI Divergence, RSI Pullback, and more.
Allows switching between these styles to suit market dynamics.
Session-Based Trading:
Offers session control, limiting trades to specific hours (e.g., NY sessions).
Can close all positions at the end of the trading day.
Stop-Loss and Take-Profit Mechanisms:
Includes both static and dynamic stop-losses, with options for time-based stops, trailing stops, and momentum-based exits.
Customizable take-profit levels ensure efficient trade management.
Volume Analysis:
Integrates volume indicators to add a bias for trade entries and exits, enhancing signal reliability.
Multi-Timeframe Integration:
Employs multi-timeframe RSI analysis, allowing the strategy to capture broader trends and optimize entries.
This script is designed to provide flexibility and adaptability, making it useful for different trading strategies and market conditions. It is suitable for traders looking to refine their entries and exits with a focus on the Stochastic RSI.
Bollinger Bands, RSI, and MA StrategyThe "Bollinger Bands, RSI and MA Strategy" is a trend-following strategy that combines the Bollinger Bands indicator, the Relative Strength Index (RSI), and a moving average (MA). It aims to identify potential entry and exit points in the market based on price volatility, momentum, and trend.
The strategy uses two Bollinger Bands with different standard deviations to create price channels. The default settings for the Bollinger Bands are a length of 20 periods and a standard deviation of 2.0. The upper and lower bands of the Bollinger Bands serve as dynamic resistance and support levels, respectively.
The RSI indicator is employed to gauge the strength of price momentum.
The strategy also incorporates a 50-period moving average (MA) to help identify the overall trend direction. When the price is above the MA, it suggests an uptrend, and when the price is below the MA, it suggests a downtrend.
The entry conditions for long trades are when the RSI is above the overbought level and there is no contraction in the Bollinger Bands. For short trades, the entry conditions are when the RSI is below the oversold level and there is no contraction in the Bollinger Bands.
The exit conditions for long trades are when the RSI drops below the overbought level or when the price closes below the 50-period MA.
For short trades, the exit conditions are when the RSI goes above the oversold level or when the price closes above the 50-period MA.
The strategy generates alerts for potential long and short entry signals, as well as for exit signals when the specified conditions are met. These alerts can be used to receive notifications or take further actions, such as placing trades manually or using automated trading systems.
It is important to note that this strategy serves as a starting point and should be thoroughly backtested and validated with historical data before applying it to live trading. Additionally, it is recommended to consider risk management techniques, including setting appropriate stop-loss and take-profit levels, to effectively manage trades.
Simple RSI and SMA Long and Short (by Coinrule)The relative strength index ( RSI ) is a momentum indicator used in technical analysis . RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A simple moving average ( SMA ) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range.
The Strategy enters and closes the trade when the following conditions are met:
LONG
SMA100 is greater than SMA150
RSI is greater than 50
SHORT
SMA100 is less than SMA150
RSI is less than 50
When a long position is opened, it remains open until the conditions for a short are met at which point the long position is closed and the short position is opened. Then, when the conditions for the long position are met, the short will be closed and a long will be opened.
This strategy is back tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
MZ HTF HFT ROCit Bot - Non Repainting Scalper v1.2 ADX RSI MOM This is a new iteration based on my Momentum trading bot.
This is an original script meant to be a high frequency trader that works on higher time frame calculations.
I came up with the idea that using calculus I can figure out the actual rate of change and momentum with different calculations than the momentum indicator that is provided by trading view. Once momentum is shifted on a small time frame, it will provide an entry signal. The script is meant to be used on an algorithmic trading system for scalping purposes. It should be run on a one minute time frame. Unfortunately due to various plotting constraints in Pinescript, you cannot plot the rate of change and momentum and price in the same pane. To counter this, I have a showdata toggle to give you values of the indicators at each entry.
This version has two main entry settings toggled with a checkbox. There is the ROC (rate of change) version and the MOM (momentum) entry signals.
The rate of change version is meant to take a look at your moving average and try to trigger when it hits a certain rate of change point. This can be helpful if you rather play it safer. I have noticed that you can get slightly better entry points but also does not give you as many entries. The momentum algorithm will give you faster entry points and might work best with a slight offset (use your back test to help you figure it out).
I have started to add tooltips to help you along. If you have suggestions please let me know.
How does it work?
Let's just assume that you are looking at a one minute chart. I recommend using the one minute for bots because it will give you the fastest execution for entries. Pinescript has an issue where the signal is not usually sent until the end of the bar/beginning of next bar. If the signal was triggered at the beginning of a 15 minute bar, it might not actually send the signal until the following 15 minute bar. If you are trading on small time frames, this can make all the difference. If you are using an algo platform that trailing stops, stop losse, take profits, etc. I would recommend you use that platform to close your trade. The close trade message will work, but pinescript does not know the exact entry price you received, so if you are trying to collect small profits, it is best that intermediary platform does that calculation for you. If you are dealing with larger moves, instead of small 1-3% scalps, you are probably fine to use the close message setting from pinescript.
Ok, so to take an example. I like to use the 3L and 3S tokens on Kucoin. This gives you a lot of volatility to work with compared to other tokens and coins. However, it can also meas that you are likely taking a higher risk. However, there are some things that can help with that (more on that later).
So we have a token we want to run, and have it on the 1m chart.
First, be sure that all of your filters are OFF when you start playing with the back test. This allows you to see how to best optimize the bot.
Use the show data to show you additional data when you are backtesting. This can allow you to try to filter out results or market conditions that do not work. I typically work with the RSI and use the 30 minute and 15 minute RSIs. I make sure that it is trading within a certain band - about 40-75. You can try the inverse and only buy during really low RSI's as well.
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Find the source of your data with the variant drop down. You can use any time frame, open, close. high, low, olc4. Open is pretty much guaranteed to not have any repainting issues - although all the other calcs use a custom isbarconfirmed security repaint calculation. I have been finding that Open and SMA work well, but feel free to explore. If you use a source like open, close, high, low, etc - the interval will not change anything further. If you use a variant such as an sma, you should try to find an interval that works well for that token. For instance, try an sma of 8-11 minutes and see which gives you the best backtest result without changing anything else. Offset ALMA/LSMA parameters are only used for those specific variants. These specific parameters will also affect the ALMA and LSMA if you use that variant in the trend filter. In other words, you can skip these if you are not using those types of moving averages.
www.dropbox.com
Configure the ROC and MOM intervals. If you are using a source such as open, close, etc- this is where you set the interval for your change. So consider using OHLC4 or a interval of 5 thru 15 and see what works best. The Momentum inverval usually works best in the 2-5 bars. There is a custom calculation I added in to try to filter out false entries as momentum is waning. This calculation works best in 2-5 bar interval.
Configure the trigger point and offset. If you are using rate of change, the best settings will likely be between -1 to 0.5. If you are using momentum, you will likely want -20 to 10. This is where you will notice the entries will shift a bit. Try to find a balance between your backtest settings and actually finding what you thin will be the best entries based on a slight delay from trading view, to algo, to your trading platform. This can likely be a minute (maybe even) or so- so be sure to not get too caught up between the backtest results and be sure to finesse the entries to actually fit nicely - maybe a bar earlier than you would likely think. If your entries are coming in too early, you can use the offset to delay your entry by a few bars. This is both science and an art form- don't get too caught up on the back test results as that is based on having all the data tha already transpired, it's not based on how it will actually perform during deployment.
Take profit and stop loss. This should be self explanatory. This script can toggle between static take profit and a trailing profit. For scalping, you will likely want to limit it below 2% to get a good win ratio. Stop loss should be at least 5-6% for these types of 3L/3S tokens to give the strategy some room to move (if the token goes down 2% before it shoots back up, the price will go down 6%). This does not yield the best R/R ratio from a traditional trader perspective, but the statistical probabilities are in your favor for these events will happen. If you have better ideas for how to set this all up, feel free to contribute your ideas in the comments as we can all learn from each other. You can definitely set a much tighter stop loss with a larger take profit to get a lower win rate but in turn might get much better returns. It's all up to you.
FILTERS www.dropbox.com
These filters require you to know a bit about each indicator and how you want to use them. I will only go over the general idea.
Variant Filter - this is especially useful if you want to trade above a moving average. Say for instance you only want to take trades when we are over the 100 Day moving average. Or above a 30 minute, 30 bar EMA, etc. Although originally ported over from my other scripts, this is not a filter that I use often in conjunction with this script.
RSI - perhaps you want to buy when we are below the 30 line on the 30 minute RSI, or we want only want to have the strategy work when we are above the 50 RSI, this can all be configured here. I typically like to try a few different rationales here.
Now with brand NEW ADX filter - this is a brand new idea that seems to work rather well. Based on your ADX settings you can also turn on the "only uptrend" which will try to calculate if you are in an uptrend based on your ADX config. Please keep in mind that uptrend is based relatively on the ADX settings.
- There is a sprinkle of RSI magic in the entry signal to make sure that rsi is not declining in the calculation, so this can affect how many entries you get.
Some other tips:
Forward test.
Set up your algo bot on a one minute interval.
Set up take profit and stop loss on your algo trading platform.
Don't use the exact settings as your backtest, maybe try a slightly more conservative approach from the algo trading platform to make sure you are within range of triggering your events with a slight delay from signal to execution. If you have a 1.6% take profit, perhaps try 1.5% on your platform first.
By using these scripts you agree that you are trading at your own risk. I make no guarantees of returns or results. I just provide tools to help you trade better. However, I hope this ROCit will take you to the moon. And if it does, be sure to give me a shout as well as some tips of your own.
Send me a message with any questions or suggestions.
(Short)EMA 4H + Stochastic RSI By Nussara (strategy)This is a back test for "(Short)EMA 4H + Stochastic RSI" used for a short position. It uses EMA and stochastic RSI.
The 4-hour EMA is a trend indicator in smaller timeframes. For a short position, EMA slow is above EMA fast and uses stochastic RSI to predict price turning points. Through the formula, traders can identify overbought or oversold.
Default setting
1. The 4-hour EMA defaults to EMA fast =24 and EMA slow = 33.
2. Stochastic RSI defaults K=3, D=3, RSI Length=16, and Stochastic Length = 5.
You should adjust the settings to be suitable for the products that you trade.
(Short)EMA 4H + Stochastic RSI formula
Short Entry :
1. The timeframe of the chart must be less than or equal to 4 hours. If the timeframe is set higher than 4 hours, this strategy will not work.
2. 4-hour slow EMA line must be above fast EMA line, indicating an downtrend.
3. Stochastic RSI K line cross down D line and the intersection must be above 80.
If all three are true, the indicator will have a short signal.
Short Exit: Stochastic RSI K line cross up D line
This indicator is just a tool for technical analysis. It shouldn't be used as the only indication of trade because it causes you to lose your money. You should use other indicators to analyze together.
(Long)EMA 4H + Stochastic RSI By Nussara(strategy)This is a back test for "(Long)EMA 4H + Stochastic RSI " used for a long position. It uses EMA and stochastic RSI.
The 4-hour EMA is a trend indicator in smaller timeframes. For a long position, EMA fast is above EMA slow and uses stochastic RSI to predict price turning points. Through the formula, traders can identify overbought or oversold.
Default setting
1. The 4-hour EMA defaults to EMA fast =24 and EMA slow = 33.
2. Stochastic RSI defaults K=3, D=3, RSI Length=16, and Stochastic Length = 5.
You should adjust the settings to be suitable for the products that you trade.
(Long)EMA 4H + Stochastic RSI formula
Long Entry :
1. The timeframe of the chart must be less than or equal to 4 hours. If the timeframe is set higher than 4 hours, this strategy will not work.
2. 4-hour fast EMA line must be above slow EMA line, indicating an uptrend.
3. Stochastic RSI K line cross up D line and the intersection must be below 20.
If all three are true, the indicator will have a long signal.
Long Exit: Stochastic RSI K line cross down D line
This indicator is just a tool for technical analysis. It shouldn't be used as the only indication of trade because it causes you to lose your money. You should use other indicators to analyze together.
DUAL RSI
This system uses two RSI's with different settings
Fast RSI Lenght is 16, buys when RSI price is oversold @ 91 or lower, and sells when RSI price is overbought at 70
Slow RSI Lenght is 31, buys when RSI price is oversold @ 91 or lower, and sells when RSI price is overbought at 68
Pyramiding is set to 2 since each system should be able to trade in the same direction on the same day
The Red StopLine is a stop loss of 10% based on the combined strategic position average entry price.
I've used a 2D chart because I prefer longer-term charts for higher quality signals
The way I trade all the systems is to set up alerts to let me know when to look at what setups
The system also has a market filter and does not trade when the close is lower than its 200 days moving average
Reversal with Bollinger Bands + RSI + ADX + ATR (Upgraded)Hi,
Welcome to my 4th script.
Someone asked me some questions about the Bollinger Band strategy I previously published. When I went back to my published script I couldn't help myself but simply try and make it better. Which I did.
Since I've published that script, I've gained much more knowledge about how Pinescript functions. As well as gaining more and more knowledge about how the markets are structered etc.
In this reversal script we use 4 indicators to determine good entry signals, we determine whether the market is ranging or trending and we still only want to take trades in the direction of the "trend".
Bollinger Bands are used for our entry signal. When price hits either side of the band, we wait for a reverse candlestick before we enter a position.
RSI is used to determine if we're in a trending market or in a ranging market. You can adjust the values in the inputs. You can determine the minimum RSI value and the maximum RSI value.
ADX is used the same way as RSI, you can adjust the value in the inputs. You can determine the minimum ADX value.
Last but not least we use two EMA's, a 200 EMA and 100 EMA. Both are adjustable through the inputs. I used two EMA's because I noticed when using this strategy that we'd enter a new position often after having a bad trade. Using two EMA's might clean up some signals, in my case with EUR/USD on a 15m timeframe, it didn't clean up enough signals.
All the default values are pretty decent but might require some finetuning on a certain instrument. Don't overfit the strategy though, that'll only give you bad signals in the future.
Then we are off to our exit signals.
Initially I wanted to incorporate my previous Bollinger Band exit signals as well, but it was too much of a hassle to make the script work as intended so I left it out. If you want to use those exit signals, just find my other script.
When we're in a position and price crosses the opposite band, we wait for a reverse candlestick before we exit the position.
Additionally we want our losses to be as small as possible, so we use RSI to signal us when the market is, or starts to, trend against us. This is where you use the minimum and maximum exit values. So when RSI crosses over or under that value, it'll exit the position.
Furthermore, we use the ATR indicator to set our stop loss, which is pretty basic stuff. You can adjust the ATR multiplier in the inputs. Disabling "Use Trailing Stop?" is really inadvisable unless you know this script inside out as your only exit signals will be opposite Bollinger Band Cross and RSI overbought / oversold areas.
Strategy- Double Decker RSIThis Strategy was LIVE coded during a webinar conducted by the author on 16-Jan-21 titled Backtesting in Tradingview. The system is named " Double Decker RSI ".
The rules of this strategy are:
LONG - RSI(5)>70 and RSI(14)>50 -- EXIT: RSI(5)<55
SHORT - RSI(5)<40 and RSI(14)<50 -- EXIT: RSI(5)>45
Instrument - BANKNIFTY - 1 HR Chart
The code is open source for you to edit and make changes as needed. For details on the strategy and webinar, you can refer to the website in signature of this strategy.
mark strategy1 band+rsi filter for xbtusdHi first of all thanks for read this.
This is my first strategy for make trading, I optimized it for xbtusd and 15 min or 30 min charts.
You can personalize some setting for reach a better result then me, these are the setting:
1) trend bars
U can change this value for trade after a prefix number of candle who confirm signals
2) time frame
U can change this value for use a different number of candle for take signals
3) date setting:
U can change this value for test strategy in a specific period
4) rsi period
U can change this value for use a differt rsi timeframe for rsi filter
5) rsi up
U can change this value for enter a trade after rsi is > of value
6) rsi low
U can change this value for enter a trade after rsi is < of value
7) take profit
U can change this value for exit trade after a prefix $ price change
8) stop loss
U can change this value for stop trade after a prefix $ price change
9) trailing stop
U can change this value for use trailing stop option, u can follow the price with this setting
10) trailing stop offset
U can change this value for a retard of trailing stop option this can help to understand the real earning with stop loss because sometimes broker's stop loss is not perfect
Have nice day and send me a message if u will earn with my strategy.
If u want my code send me a message
