CRYPTO TRADING BOT - 1min SCALPING LONG/SHORTHOW IT WORKS
The core concept behind the script is the determination of the current market mood in sense of creating a trendline indicator using EMA / SMA .
By using this trend indication alongside RSI / MACD value range, we are able to enter/exit the market in both directions: LONG and SHORT .
In case of confirmed false signals, we try to catch up the next good opportunity to minimise loss and to close the current trade.
If the chance for a good countertrade is given at this point, the market is going to be entered reversely.
Should the market move incredibly fast against our trade direction, we use proven Stop-loss targets, to bring our children into safety.
As many others, we could tell you now, that we used state-of-the-art machine learning algorithms
as well as highly sophisticated methods to gain our results.
As a fact, we started with an idea, using simple and common trading tools/indicators,
as a solid ground. We did not want to reinvent the wheel and it paid off.
GET A WORKING SCRIPT
The algorithm we are using has initially been created with a self-developed backtesting software.
To be able to deliver gas to our engine, we have bought a huge amount of OHLCV data for the 1min chart.
After many exhausting and frustrating weeks of our workflow-rotation (develop, fail, fix, test, repeat)
we finally got confirmation for all of our conditions/expectations, so we translated our algorithm into pine-code.
THE RESULTS
Since we have been using our Pine-Strategy alongside our backtesting software , we checked all the results provided by TradingView
and our tool to be 100% sure every outcome, every entry and every exit is exactly the same.
We did this for several months and since 2021 June we have been using it with real Alerts, coped to our binance account.
Below, you will find how the performance for the previous months looked like (every trade was made with 100% of the capital, of course using proper stop loss and take profit):
September 2020: 15.18%
October 2020: 36.17%
November 2020: 15.12%
December 2020: 48.58%
January 2021: 150.10%
February 2021: 45.96%
March 2021: 46.48%
April 2021: 4.96%
May 2021: 43.48%
June 2021: -28.99%
Juli 2021: 15.63%
August 2021 (so far): 11.57%
Accumulated Profit: 1,979.01%
To prove our results, we will link an excel sheet for every trade that was made within this timerange.
Link: docs.google.com
ABOUT US
We are two good friends, both incredibly interested in mathematics, software engineering, AI and algorithmics. After getting introduced into the crypto space
by a common friend, we started figuring out that there is a pattern behind every big or small move which happens in an asset.
This is where the passion for creating a CRYPTO TRADING BOT began. It was our goal, to create this script for the 1min Timeframe, so the software can react quickly when a
big or small move is happening - this is why it is called a SCALPING SCRIPT .
We are incredibly proud of this script and would like to share it with this amazing community - just hit us up on TradingView!
Cari dalam skrip untuk "the script"
Zendog V2 backtest DCA bot 3commasHi everyone,
After a few iterations and additional implemented features this version of the Backtester is now open source.
The Strategy is a Backtester for 3commas DCA bots. The main usage scenario is to plugin your external indicator, and backtest it using different DCA settings.
Before using this script please make sure you read these explanations and make sure you understand how it works.
Features:
- Because of Tradingview limitations on how orders are grouped into Trades, this Strategy statistics are calculated by the script, so please ignore the Strategy Tester statistics completely
Statistics Table explained:
- Status: either all deals are closed or there is a deal still running, in which case additional info
is provided below, as when the deal started, current PnL, current SO
- Finished deals: Total number of closed deals both Winning and Losing.
A deal is comprised as the Base Order (BO) + all Safety Orders (SO) related to that deal, so this number
will be different than the Strategy Tester List of Trades
- Winning Deals: Deal ended in profit
- Losing deals: Deals ended with loss due to Stop Loss. In the future I might add a Deal Stop condition to
the script, so that will count towards this number as well.
- Total days ( Max / Avg days in Deal ):
Total Days in the Backtest given by either Tradingview limitation on the number of candles or by the
config of the script regarding "Limit Date Range".
Max Days spent in a deal + which period this happened.
Avg days spent in a deal.
- Required capital: This is the total capital required to run the Backtester and it is automatically calculated by
the script taking into consideration BO size, SO size, SO volume scale. This should be the same as 3commas.
This number overwrites strategy.initial_capital and is used to calculate Profit and other stats, so you don't need
to update strategy.initial_capital every time you change BO/SO settings
- Profit after commission
- Buy and Hold return: The PnL that could have been obtained by buying at the close of the first candle of the
backtester and selling at the last.
- Covered deviation: The % of price move from initial BO order covered by SO settings
- Max Deviation: Biggest market % price move vs BO price, in the other direction (for long
is down, for short it is up)
- Max Drawdown: Biggest market % price move vs Avg price of the whole Trade (BO + any SO), in the other
direction (for long price goes down, for short it goes up)
This is calculated for the whole Trade so it is different than List of Trades
- Max / Avg bars in deal
- Total volume / Commission calculated by the strategy. For correct commission please set Commission in the
Inputs Tab and you may ignore Properties Tab
- Close stats for deals: This is a list of how many Trades were closed at each step, including Stop Loss (if
configured), together with covered deviation for that step, the number of deals, and the percentage of this
number from all the deals
TODO: Might add deal avg value for each step
- Settings Table that can be enabled / disabled just to have an overview of your configs on the chart, this is a
drawn on bottom left
- Steps Table similar to 3commas, this is also drawn on bottom left, so please disable Settings table if you want
to see this one
TODO: Might add extra stats here
- Deal start condition: built in RSI-7 or plugin any external indicator and compare with any value the indicator plots
(main purpose of this strategy is to connect your own studies, so using external indicator is recommended)
- Base order and safety orders configs similar to 3commas (order size, percent deviation, safety orders,
percent scale and volume scale)
- Long and Short
- Stop Loss
- Support for Take profit from base order or from Total volume of the deal
- Configs help (besides self explanatory):
- Chart theme: Adjust according to the theme you run on. There is no way to detect theme at the moment.
This adjust different colors
- Deal Start Type: Either a builtin RSI7 or "External indicator"
- Indicator Source an value: If using External Indicator then select source, comparison and value.
For example you could start a deal when Volume is greater than xxxx, or code a custom indicator that plots
different values based on your conditions and test those values
- Visuals / Decimals for display: Adjust according to your symbol
- BO Entry Price for steps table: This is the BO start deal price used to calculate the steps in the table
Momentum - Strategy ScriptBased on the bult-in momentum script, I took the liberty of updating it, adding two features.
First, I would like to see the momentum oscillator showing percentage values, rather than absolute values. Visually facilitating analysis in long-term graphs.
Second, just for fun*.
I don't know how to explain the reason exactly, but for the strategy bult-in script, I didnt like the formula of "mom1" calculation.
So I changed it for a formula that made the most sense to me.
In any case, the original script remains in the code, optionally disabling the "percent" option and selecting the MOM1 option in the "MOM Choice" field, for the purpose of study and comparisons.
The script below is opened for study and any suggestions will be welcome.
I hope it can help the community.
It's just the beginning.
Study only purpose.
I tried to follow the code conventions found in the link below.
www.pinecoders.com
Altcoin correlation MeterDear TV'ers,
Hereby a script where the relative strength of an (in this case) altcoin is measured. The script produces a correlation between the altcoin and total altcoin market (Total2 index, see script). Using this script you can see when there is a strong correlation between the two and when there isn't. Moreover, it also produces long/short signals using hull moving average crossover.
Long signals are produced when correlation is below 0 and the hma of the pair is higher than the lagging hma.
Short signals are produced when correlation is below 0 and the hma of the pair is lower than the lagging hma.
Short/Long is closed after correlation is going back towards a set correlation target as well as the Take profit percentage is reached.
In the above example the script is applied to one of my favorite altcoin projects (rose).
Looking forward to feedback/suggestions.
Bitlinc MARSI Study AST w/ Take Profit & Stop loss - beta 0.1This script is beta 0.1 - will update as soon as the script is tradable
This script is based on AST on a 10 minute timeframe. You can change the asset and the timeframe for any asset you want to trade, but for it to work correct ALL settings have to be testes in the Strategy section of the TradingView. Each assets and timeframe require a different mixture of settings. This is NOT a one settings fits all trading for all assets on any timeframe. Below are the settings and explanation on how it works.
How it fires a buy / sell:
The script will plot an RSI with upper and lower bands in a separate indicator window. The idea behind this script is to fire a LONG when MA crosses OVER lower band and fire a SHORT when the MA crosses under the lower band. Each order that fires is an OCO (Order Cancels Order) for pyramiding.
Settings:
You have full control of these settings as mentioned above, you must configure every part of this script for each asset and timeframe you trade.
- Length of MA
- Length
- Upper bands of RSI
- Lower bands of RSI
- Take profit percentage
- Stop loss percentage
- Month to start and end the strategy (within 2020)
- Day to start and end the strategy (within 2020)
- Quantity type
- Slippage
- Pyramiding
***Remember that after the signal to enter or exit a trade is fired, the alert will trigger AFTER the close of the candle that caused the tigger to fire
Low Scanner strategy cryptoThis is the last script of the Low scanner series
I have shown in script 1 the best strategy for stocks on 1 hour
script for forex 1 hour (if you look on comments you will find settings which are perfect for low TF (1 min system )
This strategy is the perfect weapen for crypto
no repaint as I shown the scanner do not use security
this system will buy and sell about every 1000 min in the end you will getyour profit which is progressive
set to 1,2,3, and 5 % where each time you take 25% of equaty out
as I shown before the power of the progresive take and my scanner make it best
the scnner serach for low point using my special RSI system with no repaint MTF
every time we get our profit out
the scanner will find us new low to start cycle again
so invite me for coffe if you like this system
thanks to TV that allow donation:)
so this is example of smart strategy that beat the odds
try on major crypto assets (it nice system )
without the script of adolgov
this system was not possible so I would like to thank him very much that he share with us his great script
XPloRR S&P500 Stock Market Crash Detection Strategy v2XPloRR S&P500 Stock Market Crash Detection Strategy v2
Long-Term Trailing-Stop strategy detecting S&P500 Stock Market Crashes/Corrections and showing Volatility as warning signal for upcoming crashes
Detecting or avoiding stock market crashes seems to be the 'Holy Grail' of strategies.
Since none of the strategies that I tested can beat the long term Buy&Hold strategy, the purpose was to detect a stock market crash on the S&P500 and step out in time to minimize losses and beat the Buy&Hold strategy. So beat the Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade.
With the default parameters the strategy generates 10262% profit (starting at 01/01/1962 until release date), with 10 closed trades, 100% profitable, while the Buy&Hold strategy only generates 3633% profit, so this strategy beats the Buy&Hold strategy by 2.82 times !
Also the strategy detects all major S&P500 stock market crashes and corrections since 1962 depending on the Trailing Stop Smoothness parameter, and steps out in time to cut losses and steps in again after the bottom has been reached. The 5 major crashes/corrections of 1987, 1990, 2001, 2008 and 2010 were successfully detected with the default parameters.
The script was first released on November 03 2019 and detected the Corona Crash on March 04 2020 with a Volatility crash-alert and a Sell crash-alert.
I have also created an Alerter Study Script based on the engine of this script, which generates Buy, Sell and Volatility signals.
If you are interested in this Alerter version script, please drop me a mail.
The script shows a lot of graphical information:
the Close value is shown in light-green. When the Close value is temporarily lower than the Buy value, the Close value is shown in light-red. This way it is possible to evaluate the virtual losses during the current trade.
the Trailing Stop value is shown in dark-green. When the Sell value is lower than the Buy value, the last color of the trade will be red (best viewed when zoomed)
the EMA and SMA values for both Buy and Sell signals are shown as colored graphs
the Buy signals are labeled in blue and the Sell signals are labeled in purple
the Volatility is shown below in green and red. The Alert Threshold (red) is default set to 2 (see Volatility Threshold parameter below)
How to use this Strategy?
Select the SPX (S&P500) graph and add this script to the graph.
Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters), then keep using these parameters for future Buy/Sell signals on the S&P500.
More trades don't necessarily generate more overall profit. It is important to detect only the major crashes and avoid closing trades on the smaller corrections. Bearing the smaller corrections generates a higher profit.
Watch out for the Volatility Alerts generated at the bottom (red). The Threshold can by changed by the Volatility Threshold parameter (default=2% ATR). In almost all crashes/corrections there is an alert ahead of the crash.
Although the signal doesn't predict the exact timing of the crash/correction, it is a clear warning signal that bearish times are ahead!
The correction in December 2018 was not a major crash but there was already a red Volatility warning alert. If the Volatility Alert repeats the next weeks/months, chances are higher that a bigger crash or correction is near. As can be seen in the graphic, the deeper the crash is, the higher and wider the red Volatility signal goes. So keep an eye on the red flag!
Here are the parameters:
Fast MA Buy: buy trigger when Fast MA Buy crosses over the Slow MA Buy value (use values between 10-20)
Slow MA Buy: buy trigger when Fast MA Buy crosses over the Slow MA Buy value (use values between 21-50)
Minimum Buy Strength: minimum upward trend value of the Fast MA Buy value (directional coefficient)(use values between 10-100)
Fast MA Sell: sell trigger when Fast MA Sell crosses under the Slow MA Sell value (use values between 10-20)
Slow MA Sell: sell trigger when Fast MA Sell crosses under the Slow MA Sell value (use values between 21-50)
Minimum Sell Strength: minimum downward trend value of the Fast MA Sell value (directional coefficient)(use values between 10-100)
Trailing Stop ATR: trailing stop % distance from the smoothed Close value (use values between 2-20)
Trailing Stop Smoothness: MA value for smoothing out the Trailing Stop close value
Buy On Start Date: force Buy on start date even without Buy signal (default: true)
Sell On End Date: force Sell on end date even without Sell signal (default: true)
Volatility EMA Period: MA value of the Volatility value (default 15)
Volatility Threshold: Threshold value to change volatility graph to red (default 2)
Volatility Graph Scaler: Scaling of the volatility graph (default 5)
Important : optimizing and using these parameters is no guarantee for future winning trades!
Strategy VS Buy & HoldSUMMARY:
A strategy wrapper that makes a detailed and visual comparison between a given strategy and the buy & hold returns of the traded security.
DESCRIPTION:
TradingView has a "Buy & Hold Return" metric in the strategy tester that is often enough to assess how our strategy compares to a simple buy hold. However, one may want more information on how and when your strategy beats or is beaten by a simple buy & hold strategy. This script aims to show such detail by providing a more comprehensive metrics and charting the profit/loss of the given strategy against buy & hold.
As seen in the script, it plots/draws 4 elements:
1) Strategy P/L: strategy net profit + strategy open profit
2) Buy & Hold P/L: unrealized return
3) Difference: Strategy P/L - Buy & Hold P/L
4) Strategy vs Buy Hold Stats
> Percent of bars strategy P/L is above Buy & Hold
> Percent of bars strategy P/L is below Buy & Hold
> All Time Average Difference
ADJUSTABLE PARAMETERS:
All labels/panels can be disabled by unchecking these two options:
>bnh_info_panel = input(true, title='Enable Info Panel')
>bnh_indicator_panel = input(true, title='Enable Indicator Panel')
Comparison Date Range can be changed to better isolate specific areas:
>From Year, From Month, From Day
default: 1970 01 01
>To Year, To Month, To Day
default: 2050 12 31
Default settings basically covers all historical data.
HOW TO USE:
The default script contains a simple 50-200 SMA cross strategy, just delete and replace it. Those are everything between these lines:
/////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////STRATEGY SCRIPT START//////////////////////////////////
(STRATEGY SCRIPT GOES HERE)
//////////////////////////////STRATEGY SCRIPT END////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////
Removing all plots and drawings from your strategy is advisable.
If you are going to use the Comparison Date Range, apply "bnh_timeCond" to your strategy to align the dates. A sample on how it’s applied can be seen on the Placeholder MA cross strategy.
Note: bnh_timeCond returns a boolean series
TradingView Alerts to MT4 MT5 + dynamic variables NON-REPAINTINGAccidentally, I’m sharing open-source profitable Forex strategy. Accidentally, because this was aimed to be purely educational material. A few days ago TradingView released a very powerful feature of dynamic values from PineScript now being allowed to be passed in Alerts. And thanks to TradingConnector, they could be instantly executed in MT4 or MT5 platform of any broker in the world. So yeah - TradingConnector works with indices and commodities, too.
The logic of this EURUSD 6h strategy is very simple - it is based on Stochastic crossovers with stop-loss set under most recent pivot point. Setting stop-loss with surgical precision is possible exactly thanks to allowance of dynamic values in alerts. TradingConnector has been also upgraded to take advantage of these dynamic values and it now enables executing trades with pre-calculated stop-loss, take-profit, as well as stop and limit orders.
Another fresh feature of TradingConnector, is closing positions only partly - provided that the broker allows it, of course. A position needs to have trade_id specified at entry, referred to in further alerts with partial closing. Detailed spec of alerts syntax and functionalities can be found at TradingConnector website. How to include dynamic variables in alert messages can be seen at the very end of the script in alertcondition() calls.
The strategy also takes commission into consideration.
Slippage is intentionally left at 0. Due to shorter than 1 second delivery time of TradingConnector, slippage is practically non-existing. This can be achieved especially if you’re using VPS server, hosted in the same datacenter as your brokers’ servers. I am using such setup, it is doable. Small slippage and spread is already included in commission value.
This strategy is NON-REPAINTING and uses NO TRAILING-STOP or any other feature known to be faulty in TradingView backtester. Does it make this strategy bulletproof and 100% success-guaranteed? Hell no! Remember the no.1 rule of backtesting - no matter how profitable and good looking a script is, it only tells about the past. There is zero guarantee the same strategy will get similar results in the future.
To turn this script into study so that alerts can be produced, do 2 things:
1. comment “strategy” line at the beginning and uncomment “study” line
2. comment lines 54-59 and uncomment lines 62-65.
Then add script to the chart and configure alerts.
This script was build for educational purposes only.
Certainly this is not financial advice. Anybody using this script or any of its parts in any way, must be aware of high risks connected with trading.
Thanks @LucF and @a.tesla2018 for helping me with code fixes :)
[M10] MA Squeeze Funding Trader [Backtest]Hey all,
My latest script combines a few indicators together in order to create a powerful, more reliable automation of trading based on short-term Trend direction and BixMex Funding with various filters, including three Moving Averages, Keltner Channels and Bollinger Bands.
This script will buy/sell based on the current trend determined by three customisable moving averages, with the option to apply the following filters:
Moving Average Filter: Will only buy/sell once the price overextends above/below moving averages, with reversal likely.
BitMex Funding: Will only buy/sell based on BitMex's current funding. The price is often found to trend with funding.
Squeeze Indicator: A combination of Keltner Channels and Bollinger Bands find areas with stable price movement for optimal entry points.
The script will exit a position upon a reversal signal from the three moving averages.
This script appears to work very well in ranging markets, however will not always perform so well in trending markets. Applying the squeeze and funding filters will reduce the frequency at which positions are entered, however has proven powerful in preventing losing trades.
I have also created an alerts version of this script available at no cost on my page - enjoy!
Any questions? Let me know!
[M10] Quad MA Trend ScalperFour adjustable moving averages set in order to produce buy and sell signals, works best on smaller timeframes from my backtesting, 10M - 30M seems optimal for scalping.
The idea behind this script is to only enter positions that are following the trend in order to minimise drawdown and decrease risk when using leverage.
The script will only enter long positions when MA crossover occurs above the Long MA 2.
The script will exit a long position when MA Short crosses below Long MA 1.
The script will only enter short positions when MA cross under occurs below the Long MA 2.
The script will exit a short position when MA Short crosses below Long MA 1.
Gunbot Deluxe Tuners BERevision 18
Gunbot Deluxe Tuners BE (Black Edition) is the official Gunthy version of Gunbot Deluxe Tuners.
It is an all in one script simulation of Gunbot with the ability to optimize Gunbot settings through backtesting any combination of the script's included buy / sell strategies along with extra conditions and trailing options.
The companion script allows user to automatically send alerts directly to Gunbot through the Gunbot TradingView add-on.
Available only to verified Gunbot owners. No exceptions. Anyone interested in obtaining this script must contact either their official Gunbot reseller or me privately.
No public requests or donations for access to this script will be granted. No exceptions.
NOTICE: By requesting access to this script you acknowledge that you have read and understood that this is for research purposes only and neither I or Gunthy are responsible for any financial losses you may incur by using this script!
TradeSpot Pro || Accompanying Strategy indicatorTradeSpot Pro
Overview
This script is an accompaniment to the existing TradeSpot Pro || All Purpose Advanced Trading Indicator
This script is for swing trading with longs, primarily on Binance / Kucoin / Coinbase and other crypto exchanes but is not limited to those markets. The details of what logic is behind the script can be found on the indicator version linked above.
Bags? This script has been tweaked and modified to completely destroy bear markets despite being focused on longs, see the BTCUSD image or PM me for any chart of your liking. I dislike indicators that show an amazing looking run in a bull market but in bear markets they fall apart - well with TradeSpot Pro that is not the case, it is completely market agnostic
Access
For details of access please join the TradeSpot community server where we can sort you out: discord.gg
Alternatively PM me if you would like to directly purchase the strategy and paired indicator.
Euro/Dollar StrengthHey all,
I have been using this strategy for a while, just like my last script (XAG/USD Spread) this utilizes my 'holy grail' method of basket weighting (aka why the script is protected).
This script just looks for periods of time when the euro is gaining against a basket of currencies and the USD is losing vs the basket (and vice versa)
I use this script on the 4H time frame; although I can make this script work for almost any currency pair and time frame I have the most success with EURUSD 4H.
I personally use 3 of these 'strength meters' in triangular arbitrage for EU UJ and EJ
if I get good feedback and support I may publish the other 2 of the 'triangle' or even make a version that automatically detects the currency pair and adjusts settings accordingly.
Thanks for the feedback and support, hope this helps!
Snoop
Babanov_DOTUSDT V2🧪 Deep Backtest Results (DOT 5-Min Strategy)
Backtest conducted on DOTUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с DOT.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:DOTUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
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⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for DOT trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:DOTUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_XRPUSDT V2🧪 Deep Backtest Results (XRP 5-Min Strategy)
Backtest conducted on XRPUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с XRP.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:XRPUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
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⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for XRP trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:XRPUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_SOLUSDT V2🧪 Deep Backtest Results (SOL 5-Min Strategy)
Backtest conducted on SOLUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с SOL.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:SOLUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
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⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for SOL trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:SOLUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_ETHUSDT V2🧪 Deep Backtest Results (ETH 5-Min Strategy)
Backtest conducted on ETHUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! imgur.com
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с ETH.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:ETHUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
-----------------------------------------------------------------------------------------------
⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for ETH trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit - BYBIT:ETHUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_BTCUSDT V2🧪 Deep Backtest Results (BTC 5-Min Strategy)
Backtest conducted on BTCUSDT.P (Bybit) using a 5-minute chart timeframe over several weeks of data.
! (i.imgur.com)
⚠️ Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с BTC.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:BTCUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
-----------------------------------------------------------------------------------------------
⚠️ Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for BTC trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit – BYBIT:BTCUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
Babanov_BTCUSDT!!! Important: Instructions for Proper Use of This Script
If you want to use this script with webhook alerts for automated trading, please follow the steps below carefully:
✅ 1. Enable "Live Trading Mode"
Before creating any alerts, go to the "Inputs" tab and make sure to enable the "Live Trading Mode" option.
Without it, the script will not generate correct trading signals.
✅ 2. Enter Your Trading Amount in USD
In the "Properties" tab, enter the amount in USD that the bot will use for BTC trading.
It is strongly recommended to enter an amount that can be divided by 50 (e.g., 50, 100, 150, 200, etc.) to ensure proper position sizing and trade management.
✅ 3. Recommended Exchange: Bybit – BYBIT:BTCUSDT.P
The script is optimized and tested specifically for Bybit.
Using it on other exchanges may result in different outcomes due to variations in chart data and price movements.
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!!! Важно: Инструкции за правилна употреба на скрипта!
Ако искате да използвате този скрипт с webhook alerts за автоматична търговия, моля, обърнете внимание на следните стъпки:
✅ 1. Активирайте "Live Trading Mode"
Преди да създадете какъвто и да е alert, отидете в таба "Inputs" и задължително активирайте опцията "Live Trading Mode". Без нея скриптът няма да изпраща правилни сигнали.
✅ 2. Въведете търговската сума в USD
В таба "Properties", въведете сумата в USD, която ботът ще използва за търговия с BTC.
- Препоръчително е сумата да бъде такава, която може да бъде разделена на 50 (например 50, 100, 150, 200 и т.н.), за да се гарантира коректно управление на позициите и обемите при търговия.
✅ 3. Препоръчителна платформа: Bybit - BYBIT:BTCUSDT.P
Скриптът е оптимизиран и тестван за търговия на Bybit. Използването му на други платформи може да доведе до различни резултати, тъй като графиките и ценовите движения може да се различават.
Turtle Trading Strategy (Simplified)This TradingView script is a powerful implementation of the classic Turtle Trading strategy, designed to help traders capitalize on significant market trends. Built using Pine Script, it can function as an indicator to highlight the specific entry and exit signals derived from the Turtle rules, or as a fully automated strategy to execute trades based on these signals. Users can fine-tune critical parameters like the lookback periods for breakouts and exits, enabling them to adapt the strategy to different market conditions and asset classes. The script leverages Pine Script's robust capabilities to accurately calculate and display the Turtle System's core logic, including position sizing based on volatility (ATR), providing a clear and systematic approach to trend-following directly on their TradingView charts.
Ticker Pulse Meter + Fear EKG StrategyDescription
The Ticker Pulse Meter + Fear EKG Strategy is a technical analysis tool designed to identify potential entry and exit points for long positions based on price action relative to historical ranges. It combines two proprietary indicators: the Ticker Pulse Meter (TPM), which measures price positioning within short- and long-term ranges, and the Fear EKG, a VIX-inspired oscillator that detects extreme market conditions. The strategy is non-repainting, ensuring signals are generated only on confirmed bars to avoid false positives. Visual enhancements, such as optional moving averages and Bollinger Bands, provide additional context but are not core to the strategy's logic. This script is suitable for traders seeking a systematic approach to capturing momentum and mean-reversion opportunities.
How It Works
The strategy evaluates price action using two key metrics:
Ticker Pulse Meter (TPM): Measures the current price's position within short- and long-term price ranges to identify momentum or overextension.
Fear EKG: Detects extreme selling pressure (akin to "irrational selling") by analyzing price behavior relative to historical lows, inspired by volatility-based oscillators.
Entry signals are generated when specific conditions align, indicating potential buying opportunities. Exits are triggered based on predefined thresholds or partial position closures to manage risk. The strategy supports customizable lookback periods, thresholds, and exit percentages, allowing flexibility across different markets and timeframes. Visual cues, such as entry/exit dots and a position table, enhance usability, while optional overlays like moving averages and Bollinger Bands provide additional chart context.
Calculation Overview
Price Range Calculations:
Short-Term Range: Uses the lowest low (min_price_short) and highest high (max_price_short) over a user-defined short lookback period (lookback_short, default 50 bars).
Long-Term Range: Uses the lowest low (min_price_long) and highest high (max_price_long) over a user-defined long lookback period (lookback_long, default 200 bars).
Percentage Metrics:
pct_above_short: Percentage of the current close above the short-term range.
pct_above_long: Percentage of the current close above the long-term range.
Combined metrics (pct_above_long_above_short, pct_below_long_below_short) normalize price action for signal generation.
Signal Generation:
Long Entry (TPM): Triggered when pct_above_long_above_short crosses above a user-defined threshold (entryThresholdhigh, default 20) and pct_below_long_below_short is below a low threshold (entryThresholdlow, default 40).
Long Entry (Fear EKG): Triggered when pct_below_long_below_short crosses under an extreme threshold (orangeEntryThreshold, default 95), indicating potential oversold conditions.
Long Exit: Triggered when pct_above_long_above_short crosses under a profit-taking level (profitTake, default 95). Partial exits are supported via a user-defined percentage (exitAmt, default 50%).
Non-Repainting Logic: Signals are calculated using data from the previous bar ( ) and only plotted on confirmed bars (barstate.isconfirmed), ensuring reliability.
Visual Enhancements:
Optional moving averages (SMA, EMA, WMA, VWMA, or SMMA) and Bollinger Bands can be enabled for trend context.
A position table displays real-time metrics, including open positions, Fear EKG, and Ticker Pulse values.
Background highlights mark periods of high selling pressure.
Entry Rules
Long Entry:
TPM Signal: Occurs when the price shows strength relative to both short- and long-term ranges, as defined by pct_above_long_above_short crossing above entryThresholdhigh and pct_below_long_below_short below entryThresholdlow.
Fear EKG Signal: Triggered by extreme selling pressure, when pct_below_long_below_short crosses under orangeEntryThreshold. This signal is optional and can be toggled via enable_yellow_signals.
Entries are executed only on confirmed bars to prevent repainting.
Exit Rules
Long Exit: Triggered when pct_above_long_above_short crosses under profitTake.
Partial exits are supported, with the strategy closing a user-defined percentage of the position (exitAmt) up to four times per position (exit_count limit).
Exits can be disabled or adjusted via enable_short_signal and exitPercentage settings.
Inputs
Backtest Start Date: Defines the start of the backtesting period (default: Jan 1, 2017).
Lookback Periods: Short (lookback_short, default 50) and long (lookback_long, default 200) periods for range calculations.
Resolution: Timeframe for price data (default: Daily).
Entry/Exit Thresholds:
entryThresholdhigh (default 20): Threshold for TPM entry.
entryThresholdlow (default 40): Secondary condition for TPM entry.
orangeEntryThreshold (default 95): Threshold for Fear EKG entry.
profitTake (default 95): Exit threshold.
exitAmt (default 50%): Percentage of position to exit.
Visual Options: Toggle for moving averages and Bollinger Bands, with customizable types and lengths.
Notes
The strategy is designed to work across various timeframes and assets, with data sourced from user-selected resolutions (i_res).
Alerts are included for long entry and exit signals, facilitating integration with TradingView's alert system.
The script avoids repainting by using confirmed bar data and shifted calculations ( ).
Visual elements (e.g., SMA, Bollinger Bands) are inspired by standard Pine Script practices and are optional, not integral to the core logic.
Usage
Apply the script to a chart, adjust input settings to suit your trading style, and use the visual cues (entry/exit dots, position table) to monitor signals. Enable alerts for real-time notifications.
Designed to work best on Daily timeframe.
OBV ATR Strategy (OBV Breakout Channel) bas20230503ผมแก้ไขจาก OBV+SMA อันเดิม ของเดิม ดูที่เส้น SMA สองเส้นตัดกันมั่นห่วยแตกสำหรับที่ผมลองเทรดจริง และหลักการเบรค ได้แรงบันดาลใจ ATR จาก เทพคอย ที่ใช้กับราคา แต่นี้ใช้กับ OBV แทน
และผมใช้เจมินี้ เพื่อแก้ ให้ เป็น strategy เพื่อเช็คย้อนหลังได้ง่ายกว่าเดิม
หลักการง่ายคือถ้ามันขึ้น มันจะขึ้นเรื่อยๆ
เขียน แบบสุภาพ (น่าจะอ่านได้ง่ายกว่าผมเขียน)
สคริปต์นี้ได้รับการพัฒนาต่อยอดจากแนวคิด OBV+SMA Crossover แบบดั้งเดิม ซึ่งจากการทดสอบส่วนตัวพบว่าประสิทธิภาพยังไม่น่าพอใจ กลยุทธ์ใหม่นี้จึงเปลี่ยนมาใช้หลักการ "Breakout" ซึ่งได้รับแรงบันดาลใจมาจากการใช้ ATR สร้างกรอบของราคา แต่เราได้นำมาประยุกต์ใช้กับ On-Balance Volume (OBV) แทน นอกจากนี้ สคริปต์ได้ถูกแปลงเป็น Strategy เต็มรูปแบบ (โดยความช่วยเหลือจาก Gemini AI) เพื่อให้สามารถทดสอบย้อนหลัง (Backtest) และประเมินประสิทธิภาพได้อย่างแม่นยำ
หลักการของกลยุทธ์: กลยุทธ์นี้ทำงานบนแนวคิดโมเมนตัมที่ว่า "เมื่อแนวโน้มได้เกิดขึ้นแล้ว มีโอกาสที่มันจะดำเนินต่อไป" โดยจะมองหาการทะลุของพลังซื้อ-ขาย (OBV) ที่แข็งแกร่งเป็นพิเศษเป็นสัญญาณเข้าเทร
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สคริปต์นี้เป็นกลยุทธ์ (Strategy) ที่ใช้ On-Balance Volume (OBV) ซึ่งเป็นอินดิเคเตอร์ที่วัดแรงซื้อและแรงขายสะสม แทนที่จะใช้การตัดกันของเส้นค่าเฉลี่ย (SMA Crossover) ที่เป็นแบบพื้นฐาน กลยุทธ์นี้จะมองหาการ "ทะลุ" (Breakout) ของพลัง OBV ออกจากกรอบสูงสุด-ต่ำสุดของตัวเองในรอบที่ผ่านมา
สัญญาณกระทิง (Bull Signal): เกิดขึ้นเมื่อพลังการซื้อ (OBV) แข็งแกร่งจนสามารถทะลุจุดสูงสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาขึ้น
สัญญาณหมี (Bear Signal): เกิดขึ้นเมื่อพลังการขาย (OBV) รุนแรงจนสามารถกดดันให้ OBV ทะลุจุดต่ำสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาลง
ส่วนประกอบบนกราฟ (Indicator Components)
เส้น OBV
เส้นหลัก ที่เปลี่ยนเขียวเป็นแดง เป็นทั้งแนวรับและแนวต้าน และ จุด stop loss
เส้นนี้คือหัวใจของอินดิเคเตอร์ ที่แสดงถึงพลังสะสมของ Volume
เมื่อเส้นเป็นสีเขียว (แนวรับ): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดกระทิง" เส้นนี้คือระดับต่ำสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวรับไดนามิก
เมื่อเส้นกลายเป็นสีแดงสีแดง (แนวต้าน): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดหมี" เส้นนี้คือระดับสูงสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวต้านไดนามิก
สัญลักษณ์สัญญาณ (Signal Markers):
Bull 🔼 (สามเหลี่ยมขึ้นสีเขียว): คือสัญญาณ "เข้าซื้อ" (Long) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุขึ้นไปเหนือกรอบด้านบนเป็นครั้งแรก
Bear 🔽 (สามเหลี่ยมลงสีแดง): คือสัญญาณ "เข้าขาย" (Short) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุลงไปต่ำกว่ากรอบด้านล่างเป็นครั้งแรก
วิธีการใช้งาน (How to Use)
เพิ่มสคริปต์นี้ลงบนกราฟราคาที่คุณสนใจ
ไปที่แท็บ "Strategy Tester" ด้านล่างของ TradingView เพื่อดูผลการทดสอบย้อนหลัง (Backtest) ของกลยุทธ์บนสินทรัพย์และไทม์เฟรมต่างๆ
ใช้สัญลักษณ์ "Bull" และ "Bear" เป็นตัวช่วยในการตัดสินใจเข้าเทรด
ข้อควรจำ: ไม่มีกลยุทธ์ใดที่สมบูรณ์แบบ 100% ควรใช้สคริปต์นี้ร่วมกับการวิเคราะห์ปัจจัยอื่นๆ เช่น โครงสร้างราคา, แนวรับ-แนวต้านของราคา และการบริหารความเสี่ยง (Risk Management) ของตัวคุณเองเสมอ
การตั้งค่า (Inputs)
SMA Length 1 / SMA Length 2: ใช้สำหรับพล็อตเส้นค่าเฉลี่ยของ OBV เพื่อดูเป็นภาพอ้างอิง ไม่มีผลต่อตรรกะการเข้า-ออกของ Strategy อันใหม่ แต่มันเป็นของเก่า ถ้าชอบ ก็ใช้ได้ เมื่อ SMA สองเส้นตัดกัน หรือตัดกับเส้น OBV
High/Low Lookback Length: (ค่าพื้นฐาน30/แก้ตรงนี้ให้เหมาะสมกับ coin หรือหุ้น ตามความผันผวน ) คือระยะเวลาที่ใช้ในการคำนวณกรอบสูงสุด-ต่ำสุดของ OBV
ค่าน้อย: ทำให้กรอบแคบลง สัญญาณจะเกิดไวและบ่อยขึ้น แต่อาจมีสัญญาณหลอก (False Signal) เยอะขึ้น
ค่ามาก: ทำให้กรอบกว้างขึ้น สัญญาณจะเกิดช้าลงและน้อยลง แต่มีแนวโน้มที่จะเป็นสัญญาณที่แข็งแกร่งกว่า
แน่นอนครับ นี่คือคำแปลฉบับภาษาอังกฤษที่สรุปใจความสำคัญ กระชับ และสุภาพ เหมาะสำหรับนำไปใช้ในคำอธิบายสคริปต์ (Description) ของ TradingView ครับ
---Translate to English---
OBV Breakout Channel Strategy
This script is an evolution of a traditional OBV+SMA Crossover concept. Through personal testing, the original crossover method was found to have unsatisfactory performance. This new strategy, therefore, uses a "Breakout" principle. The inspiration comes from using ATR to create price channels, but this concept has been adapted and applied to On-Balance Volume (OBV) instead.
Furthermore, the script has been converted into a full Strategy (with assistance from Gemini AI) to enable precise backtesting and performance evaluation.
The strategy's core principle is momentum-based: "once a trend is established, it is likely to continue." It seeks to enter trades on exceptionally strong breakouts of buying or selling pressure as measured by OBV.
Core Concept
This is a Strategy that uses On-Balance Volume (OBV), an indicator that measures cumulative buying and selling pressure. Instead of relying on a basic Simple Moving Average (SMA) Crossover, this strategy identifies a "Breakout" of the OBV from its own highest-high and lowest-low channel over a recent period.
Bull Signal: Occurs when the buying pressure (OBV) is strong enough to break above its own recent highest high, indicating a potential shift to an upward trend.
Bear Signal: Occurs when the selling pressure (OBV) is intense enough to push the OBV below its own recent lowest low, indicating a potential shift to a downward trend.
On-Screen Components
1. OBV Line
This is the main indicator line, representing the cumulative volume. Its color changes to green when OBV is rising and red when it is falling.
2. Dynamic Support & Resistance Line
This is the thick Green or Red line that appears based on the strategy's current "mode." This line serves as a dynamic support/resistance level and can be used as a reference for stop-loss placement.
Green Line (Support): Appears when the strategy enters "Bull Mode." This line represents the lowest low of the OBV in the recent past and acts as dynamic support.
Red Line (Resistance): Appears when the strategy enters "Bear Mode." This line represents the highest high of the OBV in the recent past and acts as dynamic resistance.
3. Signal Markers
Bull 🔼 (Green Up Triangle): This is the "Long Entry" signal. It appears at the moment the OBV first breaks out above its high-low channel.
Bear 🔽 (Red Down Triangle): This is the "Short Entry" signal. It appears at the moment the OBV first breaks down below its high-low channel.
How to Use
Add this script to the price chart of your choice.
Navigate to the "Strategy Tester" panel at the bottom of TradingView to view the backtesting results for the strategy on different assets and timeframes.
Use the "Bull" and "Bear" signals as aids in your trading decisions.
Disclaimer: No strategy is 100% perfect. This script should always be used in conjunction with other forms of analysis, such as price structure, key price-based support/resistance levels, and your own personal risk management rules.
Inputs
SMA Length 1 / SMA Length 2: These are used to plot moving averages on the OBV for visual reference. They are part of the legacy logic and do not affect the new breakout strategy. However, they are kept for traders who may wish to observe their crossovers for additional confirmation.
High/Low Lookback Length: (Most Important Setting) This determines the period used to calculate the highest-high and lowest-low OBV channel. (Default is 30; adjust this to suit the asset's volatility).
A smaller value: Creates a narrower channel, leading to more frequent and faster signals, but potentially more false signals.
A larger value: Creates a wider channel, leading to fewer and slower signals, which are likely to be more significant.
