X48 - Strategy | MA Type Cross + TPSL | Future&Spot | V.2Thank You For Open Source Code, This Strategy Ref. By 1.Simple Strategy Like MA Crossover For Long/Short or Spot Trade, 2. CDC Action Zone V.2 for BarPaint
This Strategy Mixing With MA Crossover Strategy and BarPaint By CDC Action Zone and TP/SL by Varbara
### How To Use Strategy : Setting EMA/SMA Crossover EMA/SMA, Any Value If You Want
For Long Position : Cross Up
For Short Position : Cross Down
Can Use With Spot Trade : Cross Up = Buy, Cross Down = Sell
TP/SL When Your OrderSize Change From any % Of Your TP/SL Value
### In Strategy Setting
Intitial Capital = Ex. 200
Order Size = Should Be Money Management Not Use 100% of Capital Ex. 10% of Capital (200$) = Order Size 20$
StopLoss and Take Profit = If You Run Trend TF 4H+ or 1D+ You Can Change TP% = 1,000% for nonlimit and Stop Loss 5 - 20% from your order size
Ex. Stoploss 15% = OrderSize / 100 x %SL = 20$/100 x 15% = 3$ Loss from order size 20$ (if you not set stop loss.)
Base Currency = (Your Currency) # Ex. USD
Commission = (Your Trading Fee) # Ex. Future Fee Can Check At Binance Fee Rate > www.binance.com > Choose Your Fee Type, Ex. USD M Future (Regular User) = 0.02 (Maker), 0.04 (Taker)
Commission Symbol Type = % # (Ref. By Binance Fee Rate)
### Notice ####
Default Setting It's Realistic From Normal Life Ex. Capital 200$ / Ordersize 20$ (10%)/ Commission 0.1% (Buy+Sell) / Slippage = 2 / TP = 1000% (nonlimit) / SL = 15%/OrderSize
Low Risk But High Return, Good Luck
### Bot Auto Trade by X4815162342 ###
if you wanna try my bot auto trade X48-3in1-bot : Contact My Line ID : x4815x
Full Command Alert For This Strategy If You Wanna See It's
'{"ex":"'+markettype+'","side": "'+longcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}'
'{"ex":"'+markettype+'","side": "'+shortcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}'
But Easy Than Full Command Just Use Thisssssss !! Strategy Be Manage Auto Long and Short or TPSL Position
You Don't Do Anything Just Use This Message to Alerts Message
{{strategy.order.alert_message}}
### If you don't use bot but just looking for strategy test ####
Just Pass Bot Setting Function It's Nothing Effect For Strategy !!!!!!
Let's Enjoy With Your Strategy BackTest 😁
Remember Beware Max drawdown%. I'm Recommend Lower Than 10% It's Very Good.
Stoploss
Take Profit On Trend v2 (by BHD_Trade_Bot)The purpose of strategy is to detect long-term uptrend and short-term downtrend so that you can easy to take profit.
The strategy also using BHD unit to detect how big you win and lose, so that you can use this strategy for all coins without worry about it have different percentage of price change.
ENTRY
The buy order is placed on assets that have long-term uptrend and short-term downtrend:
- Long-term uptrend condition: ema200 is going up
- Short-term downtrend condition: 2 last candles are down price (use candlestick for less delay)
CLOSE
The sell order is placed when take profit or stop loss:
- Take profit: price increase 2 BHD unit
- Stop loss: price decrease 3 BHD unit
The strategy use $1000 for initial capital and trading fee is 0.1% for each order.
Pro tip: The 1-hour time frame for ETH/USDT has the best results on average.
Squeeze Momentum Strategy [LazyBear] Buy Sell TP SL Alerts-Modified version of Squeeze Momentum Indicator by @LazyBear.
-Converted to version 5,
-Taken inspiration from @KivancOzbilgic for its buy sell calculations,
-Used @Bunghole strategy template with Take Profit, Stop Loss and Enable/Disable Toggles
-Added Custom Date Backtesting Module
------------------------------------------------------------------------------------------------------------------------
All credit goes to above
Problem with original version:
The original Squeeze Momentum Strategy did not have buy sell signals and there was alot of confusion as to when to enter and exit.
There was no proper strategy that would allow backtesting on which further analysis could be carried out.
There are 3 aspects this strategy:
1 ) Strategy Logic (easily toggleable from the dropdown menu from strategy settings)
- LazyBear (I have made this simple by using Kivanc technique of Momentums Moving Average Crossover, BUY when MA cross above signal line, SELL when crossdown signal line)
- Zero Crossover Line (BUY signal when crossover zero line, and SELL crossdown zero line)
2) Long Short TP and SL
- In strategies there is usually only 1 SL and 1 TP, and it is assumed that if a 2% SL giving a good profit %, then it would be best for both long and short. However this is not the case for many. Many markets/pairs, go down with much more speed then they go up with. Hence once we have a profitable backtesting setting, then we should start optimizing Long and Short SL's seperately. Once that is done, we should start optimizing for Long and Short TP's separately, starting with Longs first in both cases.
3) Enable and Disable Toggles of Long and Short Trades
- Many markets dont allow short trades, or are not suitable for short trades. In this case it would be much more feasible to disable "Short" Trading and see results of Long Only as a built in graphic view of backtestor provides a more easy to understand data feed as compared to the performance summary in which you have to review long and short profitability separately.
4) Custom Data Backtesting
- One of most crucial aspects while optimizing for backtesting is to check a strategies performance on uptrends, downtrend and sideways markets seperately as to understand the weak points of strategy.
- Once you enable custom date backtesting, you will see lines on the chart which can be dragged left right based on where you want to start and end the backtesting from and to.
Note:
- Not a financial advise
- Open to feedback, questions, improvements, errors etc.
- More info on how the squeeze momentum works visit LazyBear indicator link:
Happy Trading!
Cheers
M Tahreem Alam @mtahreemalam
Strategy Backtesting Template [MYN]A few people have been asking me to share my backtesting template. Currently I use this as my starting point for validating existing strategies and developing new ones.
Features:
Trading Date Range
Trade Direction
4 progressive take profits with target percents and percentage of position to take profit on (Thanks adolgo)
Variable percentage Stop Loss
Automatic ProfitView Alert Syntax builder for Longs and Shorts
ADX checkbox to automatically add conditional logic to your strategy
Oversold RSI with tight SL Strategy (by Coinrule)This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your trading bot rules.
ENTRY
1. This trading system uses the RSI ( Relative Strength Index ) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our backtesting data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our backtesting data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 39.31% on Chainlink with 61.54% of trades being profitable.
Strategy Execution Template - Master PatternThis script is a template to execute your strategy with Stop Loss and Take Profit and showing Trades.
Then, you can write your strategy without taking care of Stop Loss and Take Profit method.
3x Fixed Percent Stop Loss, Trailing Percent Stop Loss, Trailing ATR Stop Loss, Tailing HHLL Stop Loss
3x Fixed Percent, Take Profit
multiple orders - strategy - educationalHi,
Here is a 'template', using array's, for multiple orders and different SL/TP levels per trade (This is an example with max 5 open trades)
The 'switch' makes sure that the first available position will be used,
for example, when 'L1' is closed in the past, and a buy condition is triggered, position 'L1' will be filled,
should it be that 'L1', 'L2', 'L3' are already filled, then position 'L4' will be filled, ...
An extra table is added with data of the trades
Be aware, the 'Buy and Hold' resembles the profit when 100% of the available equity has been bought at the time of the very first trade and sold now. On the other hand, the positions work with a % of equity, 20% per trade (5 x 20 = 100%)
You can see that every trade exits on its own terms, without interference of other trades
Important, this technique only works if in the strategy() function:
- close_entries_rule -> set at 'ANY'
- pyramiding is set at max amount of trades or higher (in this case 5 or higher)
Cheers!
SuperTrend Multiple Risk Management SystemThis is an improved SuperTrend strategy that makes use of multiple types of risk management options.
We have for example :
1. Take profit and stop loss levels based on support and resistence created with RSI and Pivot Lines(dynamic)
For example, if we have an oversold level and a pivot low , we can take that low point for support.(or resistence for short)
If instead we have an overbought level and a pivot high, we can take that high point for resistence.(orsupport for short)
2. Take profit and stop loss levels based on swing low and swing high points calculated with highest high and lowest low function(dynamic)
For example we take the lowest point in the last 100 candles. We calculate the distance from the current point to that one, and we apply this value as a take profit point. Same for stop loss
3. Take profit and stop loss levels based on % movements(fixed)
For example we have a tp or sl of 10%. If either of them make a movement of 10% from the entry point, they will get triggered.
4. Break even stop loss once the asset moves certain % in our direction.
For example we have a long breakeven of 5%. If the asset moves 5% in our direction, we move the stop loss on the entry point so if the trade pullback and crosses with this point it will exit from the trade.
Notes:
All the exits from the strategy are happening at the end of the candle close, since we are checking if inside the current candle we cross with either high or low of the candles parts the set prices from any of the above options.
At the same time we can combine multiple of them into one, and we can either exit based on which one was hit first, or use a quantity reduction of the trade and exit multiple times when we hit any of the levels.
This tool is for educational purpose only.
Its main purpose is to show the difference between having a risk management or without.
For example on this scenario of BTC USD 4h, I found out that the drawdawn was reduced by more than half when using different type of risk management, compared to not use one at all, while at the same time increasing the profits by a huge margin.
PCT Trailing Stoploss-Strategy
I am not a financial advisor and this is not financial advice. This is provided for illustration only for a Percent based Trailing Stoploss.
I have been looking for a Percent based Trailing Stoploss and have not been able to find one that would work for me so I wrote my own. This works in both a Strategies and Indicators I put comments inline of where to add or remove comments// depending on which one you are aiming for. The simple EMA crossovers are there just to give the strategy something to do. To use, copy the Stoploss section, the inputs at the top, and the reset under the sell section to your own script. When I first started out I found the code for removing the redundant signals and then used it in most of my scripts. For the life of me I do not remember where I got it - either in a comment in Tradingview or on a reddit post, so if you wrote that part, thank you.
About me:
I have only been working with PineScript since January 2022 and have never been much of a coder from a professional standpoint but decided to jump in and learn Pine mainly because I am a crap, emotional trader and this way I can remove that aspect of it and lose my money programmatically as opposed to making it a conscious decision :)
Buy Monday, Exit Tuesday with Stop Loss and Take ProfitStrategy to go long at end of Monday before market closes and exit before Tuesday close, or at stop loss or take profit percentages
This runs strategy on entering by weekday name and also by session time.
Implemented are also Take Profit and Stop Loss to exit position using custom inputs.
Added stoploss and take profit plot lines
action zone - ATR stop reverse order strategy v0.1 by 9nckACTION ZONE-ATR MOD v0.1 DOCUMENTATION
Overview
This tradingview pine script strategy is mainly created to enrich my coding skill. It is a combination of “CDC-ACTIONZONE” and my personal studies of trading techniques in various sources e.g.book, course or blog. This strategy purposefully built to connect with my automatic trading bot. However, It will be very useful to aid your trading routine by diminishing mental distraction which possibly leads to bad trades.
How does it work?
This strategy will do a basic simple thing that most traders do by creating entry signals on both sides long/short and also set the stop loss. Furthermore, It will also reverse the order (from long to short and vice versa (if long/short conditions are met). Finally, it will recalculate the stop loss/take profit price in every complete bar to increase the chance of winning and limit our loss.
Entry rules(Long/Short)
If you have no open order, an order will be created when a fast EMA crosses(up(long)/down(short) the slow EMA(It’s as simple as that).
If you have an open order, the current order will be (sold if long, covered if short) and the opposite side order will be created.
Exit and Reverse rules(Long/Short)
If fast EMA cross (DOWN(long), UP(short)), the current order will be closed, THE OPPOSITE SIDE ORDER WILL ALSO BE CREATED.
Risk management
FLEX STOP PRICE : initial value will be set at the bar which order created. It is a fast ema (+/-) MIDDLE ATR value.
If MIDDLE ATR value rises, it will be our new stop price.
If MIDDLE ATR value falls, stop price unchanged
If Price OVERBOUGHT(long)/SOLD(short), LOW of that bar will be a new stop price.
Minimum position hold period
In order to eliminate risk of repeatedly open, close orders in sideway trends. Minimum hold period must be passed to start exit our position. However, It always respects stop loss prices. The value refers to the number of bars.
MUST READ!!!
This strategy uses only MARKET ORDER. If you trade with a bot, make sure you choose only enormous market cap tokens.
This strategy is bi-direction strategy. It will work best in the DERIVATIVE market.
It was initially designed to compete in the cryptocurrency market which has very high volume and volatility.
I only use this strategy in 1HR (acceptable change rate, optimum trade frequency)
How (should) we use it?
Choose crypto future pairs (recommend only top 10-15 market volume pairs in Binance, let’s say 1000M+ trade value)
Choose your time frame (1H is strongly recommended)
Setup your portfolio profile (Setting->Properties) such as Initial cap, order size, commission. DO NOT USE CAL ON EVERY TICK IT WILL CAUSE REPAINTING AND YOUR CAPITAL IS BLEEDING !!!
BACKTEST FIRST!! Back test is a combination of art, math and statis(and a bit of luck). You can apply to train and test methods or whatever you are familiar with. In my opinion, your test period should include UPTREND, SIDEWAY, DOWNTREND. Fine tune fast, slow ema first(my best ema length of 1H timeframe around 7-10, 17-22). Try to eliminate fault breakout trade and use other options only necessary. Hopefully we can use automatic optimization on Pine Script soon.
Don’t forget to turn off using a specific backtest date option to start your strategy.A
THIS IS NOT A PERFECT (OR EVEN PROFITABLE) STRATEGY. USE AT YOUR OWN RISK AND TRADE RESPONSIBLY. DYOR DUDE.
GEMA-Estrategia por neil-------------------
DESCRIPTION
GEMA-STRATEGY is a strategy generator based on SMA, EMA, WMA, RMA that considers elements such as ADX, DMI, RSI, stochastic, Stoploss, Takeprofit, angles and values at present point.
HOW DOES IT WORK
The component works as an assistant to which you configure the previous elements and you see the performance that it offers you, in such a way that you pass that configuration to GEMA-INDICATOR so that you can receive alerts and do visual trading with notifications or automated trading by sending messages to platforms like 3Commas.
WHY USE IT
The resource operates with one of the most important strategies in the market, which is the price tracking line, which means that if prices go up, we follow it, if prices go down, we follow it; in this way you do not need to make large investments as is often the case with pure BOTs, which require large reserves for security orders.
HOW TO USE IT
Press the "Indicators" option, go to the "Public Library" segment, write the name "GEMA-Estategia por Neil", double click on the record in question and you will have it added in your work panel, now, it only remains to use it and configure its parameters.
-------------------
DESCRIPCIÓN
GEMA-ESTRATEGIA en un generador de estrategias basado en SMA, EMA, WMA, RMA que considera elementos como ADX, DMI, RSI, Estocastico, Stoploss, Takeprofit, ángulos y valores a punto presente.
COMO FUNCIONA
El componente funciona como un asistente al que vas configurando lo elementos anteriores y vas viendo el rendimiento que te ofrece, de manera tal, que pases esa configuración a GEMA-INDICADOR para que puedas recibir alertas y hagas trading visual con notificaciones o trading automatizado enviando mensajes a plataformas como 3Commas.
POR QUÉ USARLO
El recurso opera con una de las estrategias mas importantes del mercado, que es la linea de seguimiento de precio, lo que significa que si los precios suben, lo seguimos, si los precios bajan, lo seguimos; de esta manera no necesita realizar grandes inversiones como suele ocurrir con los BOT puros, que exigen grandes reservas para las ordenes de seguridad.
COMO USARLO
Presione la opción "Indicadores", ubíquese en el segmento "Libreria Publica", escriba el nombre "GEMA-Estrategia por Neil", haga doble clic sobre el registro en cuestión y lo tendrá agregado en su panel de trabajo, ahora, solo resta usarlo y configurar sus paramertos.
%-[Guz] Vortex Indicator Custom// Custom Vortex Strategy (backtester)
// Custom version of the Vortex indicators that adds many features:
// -Triggers trades after a threshold is reached instead of the normal vortex lines cross (once the difference between the 2 lines is important enough)
// -Smooths the Vortex lines with an EMA
// -Adds Take Profit and Stop Loss selection
// -Adds the possibility to go Long only, Short only or both of them
// ! notice that it uses 10% position size and 0.04% trade fee, found on some crypto exchanges futures contracts
// Allows testing leverage with position size modification (values above 100% position size, to be done with caution)
// Not an investment advice
PSAR + EMA/TEMA/RSI/OBVThe Parabolic Stop-and-Reservse (PSAR) is a trend indicator, intended to capture reversal signals and show entry and exit points. The PSAR is bullish when the PSAR is below the candle body (usually indicated by a dot) and bearish when the PSAR is above the candle body. The PSAR generally only moves in the direction of the trend, making it useful for markets with an upward or downward trend, as well as swing markets. It is weaker when the market it sideways, as it can be prone to frequent flips (bull-to-bear or vice versa) in markets where a predominant trend is not present.
In order to combat the tendency for rapid swings in the PSAR, it is commonly paired with a second indicator. Often, this is a moving average (MA) to confirm the PSAR signal. Here is a common example:
PSAR + 2 EMAs: A trade would consider entering long when the PSAR is bullish and the fast EMA is above the short EMA.
PSAR + 3 EMAs: As above, but the trader could also add a very long EMA (200, for example) and use that as an additional filter.
In addition to using EMA, other MAs can be used and may be more appropriate to certain instruments and timeframes. Using TEMA, for example, may result in less lag but introduce more noise. Likewise, the Ehler's MAMA is an option.
Some traders use other indicators as PSAR confirmation signals, such as the relative strength index (RSI) on on-balance volume (OBV). The strategy is similar:
bullish PSAR + RSI oversold = consider long entry
bullish PSAR + OBV oscillator > 0 = consider long entry
The strategy presented here is based on my PSAR + EMA + TEMA study. Any of the above strategies are supported by this script:
1. The PSAR is the primary signal.
2. Confirmation is provided by any of the following: EMA , TEMA , Ehler's MAMA , RSI , or OBV.
3. You may use a third EMA (set to 200 as the default) to filter entries -- if used, the strategy will only show signals if the price is above the third (additional) EMA .
For example, a normal long signal would be a bullish PSAR + fast EMA > slow EMA + price > ema 200.
In addition, you may use a SL, which is set to the PSAR dots shown. You may also limit the backtesting dates. (Please note in the chart above, I do not have a limit on the trading dates. I believe this exaggerates the success of the strategy, but the house rules demand I not limit the timeframe to show you a more accurate picture.)
3Commas DCA Bot Strategy v1.0Introduction
The strategy attempts to implement a majority all of the settings found on the 3Commas DCA Bot setting page that can be implemented within a TradingView indicator. Specifically, it will implement the "Open new trade ASAP" and "Trading View Custom Signal" deal start conditions. In this way, you can leverage the power of TradingView's backtester to model your settings and analysis past performance as well as leverage TradingView's alert notification subsystem to send Deal Start and Close signals to 3Commas using almost any of the thousands of scripts found in the Public Library (see "What does it do and how does it do it?" section below for more information on how to do this using the RSI indicator as an example).
How is it original and useful?
This strategy is unique in that it's the only one (as of the initial publications) that can handle 28 out of 32 bot settings (88% coverage) that are found on the 3Commas bot settings page. In addition, because it is a TradingView script, you will benefit from the following:
Model your bot's configuration using the backtester on any timeframe and evaluate its performance using the chart's history.
View a table of detailed statistics pertaining to deals started and completed, win/loss rates, daily P&L, true max drawdown, and detailed statistics on bars in deal along with safety orders filled.
View a table of "Used amount for each step" as presented in 3Commas as well.
Ability to link to almost any TradingView chart indicator that provides a single data point for buy/sell signals.
Make use of the 3Commas TA Start Conditions indicator to emulate the 3Commas built-in indicators for further performance evaluation with the backtester.
How does it compare to other scripts in the Public Library?
This strategy offers a very detailed, comprehensive settings and maybe the only one (as of the initial publication) that can handle 28 out of the 32 bot settings that are found on the 3Commas bot settings page (that can be handled within TradingView, because some cannot be modeled due to chart and language constraints). Specifically, the following 3Commas bot settings and inputs are addressed with asterisks denoting specific limitation due to TradingView's platform architecture and/or constraints:
Main settings
✅ Name
❌ Exchange* (Not handled since it is inherited from chart)
⚠ Bot type* (Only Single-pair because you simply apply the indicator to as many pairs you desire in separate charts to simulate a Multi-pair setting)
Pairs
❌ Pairs* (Not handled since it is inheriting the symbol from the chart)
Strategy
✅ Strategy
❌ Profit currency* (Not handled since there is no equivalence in TradingView)
✅ Base order size / unit
✅ Safety order size / unit
✅ Start order type
Deal start condition
⚠ TradingView* (You can modify the "Technical Rating" indicator by TradingView to output a signal yourself like @TheTradingParrot has done in the TV signal for DCA backtest script)
⚠ QFL* (See Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas Edition for an alternative)
❌ Manually/API* (Not handled since there is no equivalence in TradingView)
✅ Trading View custom signal
✅ Open new trade asap
Take profit
✅ Take profit (%)
✅ Take profit type
✅ Trailing
⚠ Trailing deviation* (modified to handle TradingView's broker emulator properly)
Stop loss
✅ Stop Loss (%)
✅ Stop Loss action
⚠ Stop Loss timeout* (modified to use "bars" as the unit of measure)
Safety orders
✅ Max safety trades count (a total of 100 safety orders are supported!)
⚠ Max active safety trades count* (Not handled since there is no equivalence in TradingView)
✅ Price deviation to open safety orders (% from initial order)
✅ Safety order volume scale
✅ Safety order step scale
Advanced settings
✅ Don't start deal(s) if the daily volume is less than
✅ Minimum price to open deal
✅ Maximum price to open deal
⚠ Deal start delay (QFL and standard TV signals only)* (modified to use "bars" as the unit of measure)
✅ Cooldown between deals
✅ Open deals & stop
Close deal after timeout
⚠ The time after which, deal will be closed automatically* (modified to use "bars" as the unit of measure)
In addition to the above inputs, the script will also support the same output data points that are found on the bot settings page, which are:
Assistant
✅ Balance
✅ Max amount for bot usage (Based on current rate)
✅ Max safety order price deviation
✅ % of available balance to be used by the bot
Table (Used amount for each step)
✅ Order No.
✅ Deviation %
✅ Order Size (Base currency)
✅ Order Volume (Quote currency)
✅ Price
✅ Average price
✅ Required price
✅ Required change
✅ Total Size (Base currency)
✅ Total Volume (Quote currency)
What does it do and how does it do it?
When applied to the chart for the first time, the default settings will work to execute the "Open new trade asap" deal start condition using a take profit of 4%, a base order size of 1.335% of equity (initial capital + net profit), a safety order size of 2.003% of equity (initial capital + net profit), a safety order volume scale of 1.5, a safety order step scale of 1.21, and a max safety trades count of 8. With these settings, as you scroll through the chart's history you should see price action crossing the DCA layers (denoted with blue triangles), and a green take-profit price line will render (with green triangle denoting the crossings). Lastly, in the upper-right corner of the chart the table of DCA statistics will render showing you all the gathered data that took place since the chart's starting history until the current time.
Using the "TV Custom Signal" section will allow you to "link" other chart indicators to supply "Start" and "Close" signals for the script. For example, here's how you can use the standard RSI indicator to generate an entry signal:
1) Add the stock RSI indicator and configure it to your desire.
2) Select the "RSI" indicator in the "Chart/Indicator Data Point" input.
3) Select "Chart/Indicator Data Point" in the "Start Deal When" input.
4) Select "Less Than" in the "Is" input.
5) Select "Custom Value(s)" in the "The Value Of" input.
6) Enter "25" in the "Custom Value 1 (Single or Lower Bound)" input.
7) Select "Trading View Custom Signal" in the "Open new trade" input (in the DEAL START CONDITION section).
8) Lastly, check the checkbox with a horizontal straight line above the "Start Deal When" input.
This means that the indicator will start a deal when the "RSI indicator" is "Less Than" the value of "25".
Strategy Results
The default settings are designed to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The chart above is is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.22581% of the equity for the Base Order Size, 6.45161% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 4 with a Safety Order Volume Scale of 2, a Safety Order Step Scale of 1.53, Price Deviation To Option Safety Orders at 5.3, and a take profit of 4.5% with Trailing turned on at a deviation of 1.5%. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the strategy and obtain better desirable results. You do so by using the backtester and statistics table and observe the output values and learn how the indicator is performing in the chart history. Using this information, you can adjust the settings accordingly until you find the settings acceptable to your trading goals and risk tolerance.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Price Change Scalping Strategy v1.0 - 3Commas EditionIntroduction
This strategy implements the Price Change Scalping (PCS) strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required PCS-related settings found in the original Price Change Scalping Strategy v1.0 to successfully implement the strategy.
The strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness:
Full support for all possible 3Commas bot settings.
Define a short or long trading strategy.
Price change data source and offset settings.
Your layering placement relative to the entry price.
Your trading parameters like take profit and stop loss offsets, trailing take profit support, exchange commission rates, trading start time, and order size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
The visibility of detailed Used Amount for Each Step table that details how each layer will be allocated for trading.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include:
Deal Start
Deal Close
Strategy Results
The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.33, and a take profit of 2% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typically takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Price Change Scalping Strategy v1.0Introduction
This strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Define a short or long trading strategy.
Price change data source and offset settings.
Your layering placement relative to the entry price.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and order size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Price Crossed Above Threshold
Price Crossed Below Threshold
Enter Long Position
Exit Long Position
Enter Short Position
Exit Short Position
Price Crossed DCA Layer 1 (Long)
Price Crossed DCA Layer 2 (Long)
Price Crossed DCA Layer 3 (Long)
Price Crossed DCA Layer 4 (Long)
Price Crossed DCA Layer 5 (Long)
Price Crossed DCA Layer 6 (Long)
Price Crossed DCA Layer 7 (Long)
Price Crossed DCA Layer 8 (Long)
Price Crossed DCA Layer 1 (Short)
Price Crossed DCA Layer 2 (Short)
Price Crossed DCA Layer 3 (Short)
Price Crossed DCA Layer 4 (Short)
Price Crossed DCA Layer 5 (Short)
Price Crossed DCA Layer 6 (Short)
Price Crossed DCA Layer 7 (Short)
Price Crossed DCA Layer 8 (Short)
Strategy Results
The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 2.74506% of the equity with a Order Size Multiplier of 1.33, using 8 total DCA layers, and a take profit of 2% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typcially takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas EditionIntroduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required QFL-related settings found in the original Quickfingers Luc's Base Breaking Strategy v2.5 to successfully implement the strategy.
The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness:
The ability to define the QFL base confirmation settings, including volume analysis.
The ability to define your preferred layering strategy of either dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
The ability to define your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
The ability to define flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The ability to set the visibility & color theme of the detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to implement the QFL base-breaking strategy ion 3Commas. The strategy version leverages the full features of the TradingView backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include:
Deal Start
Deal Close
What does it do and how does it do it?
The strategy can be applied to any chart at any time frame, but the minimum should be no lower than 10 minutes. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in thin blue lines. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a deal session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, a table of statistics is positioned to the upper-right corner of the chart that summarize all the events that have taken place since the indicator began simulating deal sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.35, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Quickfingers Luc's Base Breaking Strategy v2.5Introduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy. The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Base confirmation settings, including volume analysis.
Your preferred layering strategy of either Dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the QFL base-breaking strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Base Created
Base Cracked
Base Respected
Any Layer Cracked
Layer 1 Cracked
Layer 2 Cracked
Layer 3 Cracked
Layer 4 Cracked
Layer 5 Cracked
Layer 6 Cracked
Layer 7 Cracked
Layer 8 Cracked
Layer 9 Cracked
Layer 1 Respected
Layer 2 Respected
Layer 3 Respected
Layer 4 Respected
Layer 5 Respected
Layer 6 Respected
Layer 7 Respected
Layer 8 Respected
Take Profit Crossed
Stop Loss Crossed
What does it do and how does it do it?
It is recommended that you start with a chart that is on an hourly timeframe with the "Scale Price Chart Only" chart setting enabled. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in blue using a Fibonacci-like sequence for the deviation offset relative to the base price. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a trade session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, the very last bar will render a table of statistics that summarize all the events that have taken place since the indicator began simulating trading sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4887% of the equity with a Position Size Multiplier of 1.35, using 8 total DCA layers, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Strategy TemplateThis is the fastest way to create a Trading View strategy. The template I have created includes stoploss and take profit enabling and plotting, date range, and strategy buy and sell conditions. I believe this will benefit the people in the Trading View community by creating a strategy faster and more efficiently than just repeating pine script code. All that needs to be done by the person using this script is to add their own indicators, and create their own buy and sell signals. Then they can immediately start back testing their new strategy!
3Commas BotBjorgum 3Commas Bot
A strategy in a box to get you started today
With 3rd party API providers growing in popularity, many are turning to automating their strategies on their favorite assets. With so many options and layers of customization possible, TradingView offers a place no better for young or even experienced coders to build a platform from to meet these needs. 3Commas has offered easy access with straight forward TradingView compatibility. Before long many have their brokers hooked up and are ready to send their alerts (or perhaps they have been trying with mixed success for some time now) only they realize there might just be a little bit more to building a strategy that they are comfortable letting out of their sight to trade their money while they eat, sleep, etc. Many may have ideas for entry criteria they are excited to try, but further questions arise... "What about risk mitigation?" "How can I set stop or limit orders?" "Is there not some basic shell of a strategy that has laid some of this out for me to get me going?"
Well now there is just that. This strategy is meant for those that have begun to delve into the world of algorithmic trading providing a template that offers risk defined positions complete with stops, limit orders, and even trailing stops should one so choose to employ any of these criteria. It provides a framework that is easily manipulated (with some basic working knowledge of pine coding) to encompass ones own ideas and entry criteria, while also providing an already functioning strategy.
The default settings have a basic 1:1 risk to reward ratio, which sets a limit and a stop equal distance from the entry. The entry is a simple MA cross (up for long, down for short). There a variety of MA's to choose from and the user can define the lengths of the averages. The ratio can be adjusted from the menu along with a volatility based adder (ATR) that helps to distance a stop from support or resistance. These values are calculated off the swing low/high of the user defined lookback period. Risk is calculated from position entry to stop, and projected upwards to the limit as a function of the desired risk to reward ratio. Of note: the default settings include 0.05% commissions. Competitive commissions of the leading cryptocurrency exchanges are .1% round trip (one buy and one sell) for market orders. There is also some slippage to allow time for alerts to be sent and orders to fill giving the back test results a more accurate representation of real time conditions. Its recommended to research the going rates for your exchange and set them to default for the strategy you use or build.
To get started a user would:
1) Make a copy of the code and paste in their bot keys in the area provided under the "3Comma Keys" section
- eg. Long bot "start deal" copied from 3commas in to define "Long" etc. (code is commented)
2) Place alert on desired asset with desired settings ensuring to select "Order fills and alert() function calls"
3) Paste webhook into the webhook box and select webhook URL alerts (3rd party provided webhook)
3) Delete contents of alert message box and replace with {{strategy.order.alert_message}} and nothing else
- the codes will be sent to the webhook appropriately as the strategy enters and exits positions. Only 1 alert is needed
settings used for the display image:
1hr chart on BTCUSD
-ATR stop
-Risk adjustment 1.2
-ATR multiplier 1.3
-RnR 0.6
-MAs HEMA/SMA
-MA Length 50/100
-Order size percent of equity
-Trail trigger 60% of target
Experiment with your own settings on your crypto of choice or implement your own code!
Implementing your trailing stop (optional)
Among the options for possible settings is a trailing stop. This stop will ratchet higher once triggered as a function of the Average True Range (ATR). There is a variable level to choose where the user would like to begin trailing the stop during the trade. The level can be assigned with a decimal between 0 and 1 (eg. 0.5 = 50% of the distance between entry and the target which must be exceeded before the trail triggers to begin). This can allow for some dips to occur during the trade possibly keeping you in the trade for longer, while potentially reducing risk of drawdown over time. The default for this setting is 0 meaning unless adjusted, the trail will trigger on entry if the trailing stop exit method is selected. An example can be seen below:
Again, optional as well is the choice to implement a limit order. If one were to select a trailing stop they could choose not to set a limit, which could allow a trail to run further until hit. Drawdowns of this strategy would be foregoing locking gains at highs on target on other trades. This is a trade-off the user can decide on and test. An example of this working in favor can be observed below:
Conclusion
Although a simple strategy is implemented here, the benefits of this script allow a user a starting platform to build their strategies from with built in risk mitigation. This allows the user to sidestep some of the potential difficulties' that can arise while learning Pine and taking on the endeavor of automating their trading strategies. It is meant as an aid, a structure, and an educational piece that can be seen as a "pick-up-and-go" strategy with easy 3Commas compatibility. Additionally, this can help users become more comfortable with strategy alert messages and sending strings in the form of alerts from Pine. As well, FAQs are often littered with questions regarding "strategy.exit" calls, how to implement stops. how to properly set a trailing stop based on ATR, and more. The time this can save an individual to get started is likely of the best "take-aways" here.
Happy trading
Moving Stop-Loss mechanism + alerts to MT4/MT5"How to code moving stop-loss mechanism", is one of the most often repeating questions in private messages I receive, so just to focus on this mechanism, I made a spin-off from my previous script: TradingView-Alerts-to-MT4-MT5-dynamic-variables-NON-REPAINTING .
The logic here moves the stop-loss each time a trade is running and a new pivot high/low is detected. When such event occurs (UpdateLongStopLoss or UpdateShortStopLoss), stoploss_long or stoploss_short mutable variable is modified. And it needs to be coded inside strategy.exit() line as "stop=stoploss_long" or "stop=stoploss_short". Entries are pretty straightforward - on Stoch crosses.
Last lines of the script show how to wrap information about such updates and send send alerts to MetaTrader via TradingConnector for execution in Forex/indices/commodities/crypto markets via MetaTrader. Please note that "tradeid=" variable must be passed with each alert, to let MetaTrader know which trade to modify. SLMOD, TPMOD are recently added commands, along with BE (as in "move stop-loss to breakeven" - but that's another topic).
Please disregard strategy backtest results, as this script is for coding education purposes only. However, it seems with the stop-loss mechanism enabled, the results are even better, than in original version of the script :)
EMAC - Exponential Moving Average CrossEMAC - Exponential Moving Average Cross
This strategy is based in part on original 10ema Basic Swing Trade Strategy by Matt Delong: www.tradingview.com
Link to original 10ema Basic Swing Trade Strategy:
This is the Original EMAC - Exponential Moving Average Cross strategy built as a class for reallifetrading dot com and so has all the default settings and has not been optimized. I would not recommend using this strategy with the default settings and is for educational purposes only. For the fully optimized version please come back around the same time tomorrow 6/16/21 for the EMAC - Exponential Moving Average Cross - Optimized
If you have any questions feel free to reach out to me with a comment and I will try to get back to you quickly with a reply.






















