The Gral : Alpha Scalping Demo (Atom)You want to make money. This bot will allow you to do it.
We know how it can be challenging, frustrating, struggling to make money especially in bear market. Save your energy, your emotions, your nerves! Alpha Scalping will allow you to sleep better and make money while you sleep!
We tested hundreds of indicators, strategies, mt4 ea and bots since 2010, today we will start to release a series of successful bots and automatic strategies for you, some of them will be free, some of them will be paid (monthly subscriptions)
We will also indicate how to connect the Alpha Scalping to your Binance or FTX account so you can trade automatically.
Enjoy, subscribe and stay tuned!
NB : This bot is a demo only, it will work only on ATOMUSDTPERP
Bot for ALGOUSDTPERP :
Educational
The Gral : Alpha Scalping Demo (Algo) You want to make money. This bot will allow you to do it.
We know how it can be challenging, frustrating, struggling to make money especially in bear market. Save your energy, your emotions, your nerves! Alpha Scalping will allow you to sleep better and make money while you sleep!
We tested hundreds of indicators, strategies, mt4 ea and bots since 2010, today we will start to release a series of successful bots and automatic strategies for you, some of them will be free, some of them will be paid (monthly subscriptions)
We will alsoindicate how to connect the Alpha Scalping to your Binance or FTX account so you can trade automatically.
Enjoy, subscribe and stay tuned!
NB : This bot is a demo only, it will work only on ALGOUSDTPERP
Bot for ATOMUSDTPERP :
Bollinger Pair TradeNYSE:MA-1.6*NYSE:V
Revision: 1
Author: @ozdemirtrading
Revision 2 Considerations :
- Simplify and clean up plotting
Disclaimer: This strategy is currently working on the 5M chart. Change the length input to accommodate your needs.
For the backtesting of more than 3 months, you may need to upgrade your membership.
Description:
The general idea of the strategy is very straightforward: it takes positions according to the lower and upper Bollinger bands.
But I am mainly using this strategy for pair trading stocks. Do not forget that you will get better results if you trade with cointegrated pairs.
Bollinger band: Moving average & standard deviation are calculated based on 20 bars on the 1H chart (approx 240 bars on a 5m chart). X-day moving averages (20 days as default) are also used in the background in some of the exit strategy choices.
You can define position entry levels as the multipliers of standard deviation (for exp: mult2 as 2 * standard deviation).
There are 4 choices for the exit strategy:
SMA: Exit when touches simple moving average (SMA)
SKP: Skip SMA and do not stop if moving towards 20D SMA, and exit if it touches the other side of the band
SKPXDSMA: Skip SMA if moving towards 20D SMA, and exit if it touches 20D SMA
NoExit: Exit if it touches the upper & lower band only.
Options:
- Strategy hard stop: if trade loss reaches a point defined as a percent of the initial capital. Stop taking new positions. (not recommended for pair trade)
- Loss per trade: close position if the loss is at a defined level but keeps watching for new positions.
- Enable expected profit for trade (expected profit is calculated as the distance to SMA) (recommended for pair trade)
- Enable VIX threshold for the following options: (recommended for volatile periods)
- Stop trading if VIX for the previous day closes above the threshold
- Reverse active trade direction if VIX for the previous day is above the threshold
- Take reverse positions (assuming the Bollinger band is going to expand) for all trades
Backtesting:
Close positions after a defined interval: mark this if you want the close the final trade for backtesting purposes. Unmark it to get live signals.
Use custom interval: Backtest specific time periods.
Other Options:
- Use EMA: use an exponential moving average for the calculations instead of simple moving average
- Not against XDSMA: do not take a position against 20D SMA (if X is selected as 20) (recommended for pairs with a clear trend)
- Not in XDSMA 1 DEV: do not take a position in 20D SMA 1*standart deviation band (recommended if you need to decrease # of trades and increase profit for trade)
- Not in XDSMA 2 DEV: do not take a position in 20D SMA 2*standart deviation band
Session management:
- Not in session: Session start and end times can be defined here. If you do not want to trade in certain time intervals, mark that session.(helps to reduce slippage and get more realistic backtest results)
AlgoTrade DCA Bot Backtester█ OVERVIEW
This script can be used to backtest DCA Bots. It draws inspiration from 3Commas and has most settings that are available on 3Commas. It contains a few popular DCA Bot Presets that are well known in the community for you to test out! Preset used here: Kirigakure V4
█ FEATURES
DCA Preset (Custom, Standard TA,Urma Lite V3,Kirigakure V1,Kirigakure V3,Kirigakure V4)
Order Size Type (Fixed/% of equity to simulate compounding)
Base Order Size
Safety Order Size
Max Safety Trades Count
Price Deviation to open safety order %
Safety Order Volume Scale
Safety Order Step Scale
Take Profit %
Use ADR (Average Daily Range) as Take Profit
ADR length (if ADR as take profit is enabled)
Take Profit Type (% from total volume / % from base order)
Trailing Take Profit
Stop Loss
Deal Start Condition (Start ASAP) ▶ More Deal Starting Conditions will be added in the future
Bot Direction (Long / Short)
Start Time ▶ 1999-01-01 (Use this to always backtest the entire history)
End Time
This strategy also allows you to plot the Average Price and Take Profit of each trade, so it's easier to follow the trade and understand what's happening.
█ HOW TO USE
1. Select a DCA Preset and change the initial capital to the exact amount that is required (seen in the error message on top of the table). When using a Preset the following settings will be locked, meaning if you change them in the script's settings it won't have any effect:
Base Order Size
Safety Order Size
Max Safety Trades Count
Price Deviation to open safety order %
Safety Order Volume Scale
Safety Order Step Scale
Use ADR (Average Daily Range) as Take Profit
1.1 When using Presets you can choose the Order Size Type of Fixed or % of equity which simulates compounding
1.2 Choose a Direction and a Start and End Time
2. To backtest customized settings choose the preset "Custom"
2.1 All other settings are now "unlocked" and can be used
█ LIMITATIONS
Whenever a DCA preset is changed the initial_capital needs to be changed to the exact amount the settings require. If the initial_capital is not the same there will be an error of top of the table. To fix this error navigate to the Script's Settings and Properties and change the initial_capital to the same amount that is stated in the error.
DCA Bots with a high number of safety orders, e.g. 100, can run into an error that says "Maximum number of orders (9000) reached". If this error happens change the backtesting time to a shorter timeframe.
Using % of equity simulates compounding but is unrealistic because you cannot re-invest every single dollar
█ THANKS
This script in insipred by rouxam's "Backtesting 3commas DCA Bot v2" script
SUPPORT RESISTANCE STRATEGY [5MIN TF]A SUPPORT RESISTANCE BREAKOUT STRATEGY for 5 minute Time-Frame , that has the time condition for Indian Markets
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above Resistance Level ,indicated by Red Line, is a Long condition.
2) Price crosses below Support Level ,indicated by Green Line , is a Short condition.
3) Candle high crosses above ema1, is a part of the Long condition .
4) Candle low crosses below ema1, is a part of the Short condition .
5) Volume Threshold is an added confirmation for long/short positions.
6) Maximum Risk per trade for the intraday trade can be changed .
7) Default qty size is set to 50 contracts , which can be changed under settings → properties → order size.
8) ATR is used for trailing after entry, as mentioned in the inputs below.
// ═════════════════════════//
// ————————> INPUTS <————————— //
// ═════════════════════════//
→ L_Bars ———————————> Length of Resistance / Support Levels.
→ R_Bars ———————————> Length of Resistance / Support Levels.
→ Volume Break ———————> Volume Breakout from range to confirm Long/Short position.
→ Price Cross Ema —————> Added condition as explained above (3) and (4).
→ ATR LONG —————————> ATR stoploss trail for Long positions.
→ ATR SHORT ————————> ATR stoploss trail for Short positions.
→ RISK ————————————> Maximum Risk per trade intraday.
The strategy was back-tested on TCS ,the input values and the results are mentioned under "BACKTEST RESULTS" below.
// ═════════════════════════ //
// ————————> PROPERTIES<——————— //
// ═════════════════════════ //
Default_qty_size ————> 50 contracts , which can be changed under
Settings
↓
Properties
↓
Order size
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 27.
The Indian Markets open at 9:15am and closes at 3:30pm.
The 'time_cond' specifies the time at which Entries should happen .
"Close All" function closes all the trades at 3pm , at the open of the next candle.
To change the time to close all trades , Go to Pine Editor → Edit the line 92 .
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 100 CLOSED TRADES )<————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better Back-Test results.
The strategy applied to NSE:TCS ( 5 min Time-Frame and contract size 50) gives us 60% profitability , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.8 ,net Profit of 30,000 Rs profit .
Sharpe Ratio : 0.49
Sortino Ratio : 1.4
The graph has a Linear Curve with Consistent Profits.
The INPUTS are as follows,
1) L_Bars —————————> 4
2) R_Bars —————————> 4
3) Volume Break ————> 5
4) Price Cross Ema ——> 100
5) ATR LONG ——————> 2.4
6) ATR SHORT —————> 2.6
7) RISK —————————> 2000
8) Default qty size ——> 50
NSE:TCS
Save it to favorites.
Apply it to your charts Now !!
Thank You ☺ NSE:TCS
PIVOT STRATEGY [INDIAN MARKET TIMING]
A Back-tested Profitable Strategy for Free!!
A PIVOT INTRADAY STRATEGY for 5 minute Time-Frame , that also explains the time condition for Indian Markets
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above ema1 ,indicated by pivot highest line in green color .
2) Price crosses below ema1 ,indicated by pivot lowest line in red color .
3) Candle high crosses above pivot highest , is the Long condition .
4) Candle low crosses below pivot lowest , is the Short condition .
5) Maximum Risk per trade for the intraday trade can be changed .
6) Default_qty_size is set to 60 contracts , which can be changed under settings → properties → order size .
7) ATR is used for trailing after entry, as mentioned in the inputs below.
// ═════════════════════════//
// ————————> INPUTS <————————— //
// ═════════════════════════//
Leftbars —————> Length of pivot highs and lows
Rightbars —————> Length of pivot highs and lows
Price Cross Ema —————> Added condition
ATR LONG —————> ATR stoploss trail for Long positions
ATR SHORT —————> ATR stoploss trail for Short positions
RISK —————> Maximum Risk per trade for the day
The strategy was back-tested on RELIANCE ,the input values and the results are mentioned under "BACKTEST RESULTS" below .
// ═════════════════════════ //
// ————————> PROPERTIES<——————— //
// ═════════════════════════ //
Default_qty_size ————> 60 contracts , which can be changed under settings
↓
properties
↓
order size
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 25 .
The Indian Markets open at 9:15am and closes at 3:30pm .
The 'time_cond' specifies the time at which Entries should happen .
"Close All" function closes all the trades at 3pm, at the open of the next candle.
To change the time to close all trades , Go to Pine Editor → Edit the line 103 .
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
NSE:RELIANCE
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 128 CLOSED TRADES )<————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better back-test results.
The strategy applied to NIFTY ( 5 min Time-Frame and contract size 60 ) gives us 60% profitability y , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.45 ,net Profit of 21,500Rs profit .
Sharpe Ratio : 0.311
Sortino Ratio : 0.727
The graph has a Linear Curve with consistent profits .
The INPUTS are as follows,
1) Leftbars ————————> 3
2) Rightbars ————————> 5
3) Price Cross Ema ——————> 150
4) ATR LONG ————————> 2.7
5) ATR SHORT ———————> 2.9
6) RISK —————————> 2500
7) Default qty size ——————> 60
NSE:RELIANCE
Save it to favorites.
Apply it to your charts Now !!
↓
FOLLOW US FOR MORE !
Thank me later ;)
EMA + Bullish Engulfing Candle Pattern StrategyHello Guys! Nice to meet you all!
This is my first open source script!
### Long Condition
1. Bullish Engulfing Candle
2. No doge Candle
3. Present volume should be bigger than the previous volume (20%)
4. Trend filter (with 2 EMAs)
### Close Condition
1. When trend Changes
2. When Bearish Engulfing Candle appears
###
No stop loss and take profit.
My StrategyThis is for educational purpose. Strategy is a test strategy to take long and short position
Forex Midpoint Stratejisi For Nasdaq English Knowledge:
Midpoint Strategy;
The general calculation method is a strategy that helps determine direction by the intersection of a MA line and the value obtained by dividing the lowest and highest price in the specified length range.
Başlangıç Periyodu: The data length of the Midpoint Line.
Kaydırma Seviyesi: The number of steps forward or backward of the Midpoint Line.
Yüzde Seviyesi: the amount of vertical scrolling.
Uzunluk: The length of the MA line
represents.
This strategy is prepared for the Nasdaq 5-minute period. It needs to be optimized for use on other instruments.
There are take profit and stop loss levels within the codes. Friends who want to use it can remove the invisibility from the relevant sections. Also, I removed the midpoint and the MA line so that it does not crowd the image, you can add it if you want.
Thank you.
Turkish Knowledge:
Midpoint Stratejisi;
Genel hesaplama yöntemi, belirlenen uzunluk aralığındaki en düşük ve en yüksek fiyatın ikiye bölümü ile elde edilen değer ve bir ortalama çizgisinin kesişimleriyle yön belirlemeye yardımcı bir stratejidir.
Başlangıç Period: Midpoint Çizgisinin veri uzunluğunu.
Kaydırma Seviyesi: Midpoint Çizgisinin ileri veya geri adım sayısını.
Yüzde Seviyesi: dikey kaydırma miktarını.
Uzunluk: Ortalama çizgisinin uzunluğunu
temsil etmektedir.
Bu strateji Nasdaq 5 dakikalık periot için hazırlanmıştır. Diğer enstrümanlarda kullanılması için optimize edilmesi gerekir.
Kodların içinde Kar alma , zarar durdurma seviyeleri mevcuttur. Kullanmak isteyen arkadaşlar ilgili bölümlerden görünmezliği kaldırabilirler. ayrıca midpoint ve ortalama çizgisinide görüntü kalabalığı yapmaması için ben kaldırdım isterseniz siz ekleyebilirsiniz.
Teşekkürler.
PlanB Quant Investing 101 v2This script has been Inspired by PlanB Article Quant Investing 101.
With this script, I implemented Plan B strategy outlined in that article, trying to reproduce his findings independently and allowing TradeView Users to do the same.
PlabB is aware of this effort, and he's positive about it, via Twitter commenting, liking and sharing of this resource .
Trading Idea:
This script uses RSI index to determine the Buy And Sell signal.
As per the original PlanB article:
IF ( RSI was above 90% last six months AND drops below 65%) THEN sell,
IF ( RSI was below 50% last six months AND jumps +2% from the low) THEN buy, ELSE hold
My simple code is aimed at replicating his study in Pine so that every TV user can check his signal.
LONG SAZB $This strategy combines the use of:
-The MTF EMA to detect trends.
-The MACD to create Long and Short Buy signals.
-The ATR for setting Stop Losses and Take Profits.
This works well with many different crypto and fiat pairs, but it must be optimized for the certain behavior of the currency pair. Its optimal use is strong trends, not so profitable when sideways.
This strategy was developed with the 5-minute Bitcoin / TetherUS Perpetual futures for Binance (Crypto trading platform).
This is the first version, updates will come.
MTF EMA
The MTF EMA (Multi-TimeFrame Exponential Moving Average ) is a great indicator to see the overall trend of an asset, you can see the status of a moving average for all timeframes on one chart.
Normally when you check a moving average of the price it's on some specific timeframe. The MTF EMA allows you to see moving average status for all timeframes in a single place. You can simplify your visual representation and know if an asset or a pair is overall bullish or bearish , with this improving your entry and exit signal decisions.
This strategy uses the 1 hour and 15 min EMA with different values. Experimenting with these is important to understand the currency pairs.
Up trend:
Price (source) > 1h MTF and 1h MTF < 15m MTF
Down trend:
Price (source) < 1h MTF and 1h MTF > 15m MTF
MACD
Using MACD (Moving Average Convergence Divergence) as a reference, the strategy identifies when the MACD line crosses over (a factor in a buy signal) and under (a factor in a Sell signal) the Signal line. This shows a shift in positive (cross over) and negative (cross under) of a security.
This strategy uses values of 12 on the Fast MA, 26 on the Slow MA, and 9 in the Signal Line MA.
The optional ribbon is for a more visual representation of the MACD .
The MACD and Signal line have the option to have a crossover limit to cancel buy signals depending on the value they crossed at according to the 0 line of the MACD . This is to avoid fake signals.
ATR TP/SL
Using ATR to define the stop loss and take profit is that it should allow you to set them at a realistic distance from price. Simply put, a pair experiencing a high level of volatility has a higher ATR, and a low volatility stock has a lower ATR.
The indicator does not indicate the price direction; rather it is used primarily to measure volatility caused by gaps and limit up or down moves. All this is used to allow the Stop Loss “breathing space” so trades don't get unnecessarily stopped, and allow the Take Profit to be at a more realistic, flexible, and profitable price.
This strategy uses different values for Longs and Shorts depending on the market behavior, optionally analyzes swing lows and highs according to the value of the candle lookback and sets the ATR depending on them, they must be tested to optimum. Also the ATR has a multiplicator to find the most efficient price levels.
Trade Setup
Shorts and Longs can be turned OFF and ON.
There is an optional maximum % loss for trades, the trade is closed when the high-low average of a candle is over this %.
Longs
This strategy indicates a Long Buy signal when these conditions are met:
- Uptrend signal from MTF EMA .
- MACD Crossover of Signal ( MACD > Signal) while being under the MACD crossover limit.
A Long exit signal is indicated when:
- Price crosses over the ATR Take Profit limit.
- Price crosses under the ATR Stop Loss limit.
- Price crosses under optional max % long loss.
Shorts
This strategy indicates a Long Buy signal when these conditions are met:
- Downtrend signal from MTF EMA .
- Signal Crossover of MACD ( MACD < Signal) while being over the MACD crossover limit.
A Short exit signal is indicated when:
- Price crosses under the ATR Take Profit limit.
- Price crosses over the ATR Stop Loss limit.
- Price crosses over optional max % short loss.
Disclaimer
1. I am not a licensed financial advisor or broker dealer. I do not tell you when or what to buy or sell. I developed this software which enables you to execute manual or automated trades multiple trades using TradingView. The software allows you to set the criteria you want for entering and exiting trades.
2. Do not trade with money you cannot afford to lose.
3. I do not guarantee consistent profits or that anyone can make money with no effort. I am not selling the holy grail.
4. Every system can have winning and losing streaks.
5. Money management plays a large role in the results of your trading. For example: lot size, account size, broker leverage, and broker margin call rules all have an effect on results. Also, your Take Profit and Stop Loss settings for individual pair trades and for overall account equity have a major impact on results. If you are new to trading and do not understand these items, then I recommend you seek education materials to further your knowledge.
**YOU NEED TO FIND AND USE THE TRADING SYSTEM THAT WORKS BEST FOR YOU AND YOUR TRADING TOLERANCE.**
**I HAVE PROVIDED NOTHING MORE THAN A TOOL WITH OPTIONS FOR YOU TO TRADE WITH THIS PROGRAM ON TRADINGVIEW.**
I am 100 % open to suggestions to improve the script.
If you encounter any problems or would like to see the script, share them with me at "steven17zmuda@gmail.com".
Items in this description text may not be written directly by me, but may be taken from education sites.
VIDYA Trend StrategyOne of the most common messages I get is people reaching out asking for quantitative strategies that trade cryptocurrency. This has compelled me to write this script and article, to help provide a quantitative/technical perspective on why I believe most strategies people write for crypto fail catastrophically, and how one might build measures within their strategies that help reduce the risk of that happening. For those that don't trade crypto, know that these approaches are applicable to any market.
I will start off by qualifying up that I mainly trade stocks and ETFs, and I believe that if you trade crypto, you should only be playing with money you are okay with losing. Most published crypto strategies I have seen "work" when the market is going up, and fail catastrophically when it is not. There are far more people trying to sell you a strategy than there are people providing 5-10+ year backtest results on their strategies, with slippage and commissions included, showing how they generated alpha and beat buy/hold. I understand that this community has some really talented people that can create some really awesome things, but I am saying that the vast majority of what you find on the internet will not be strategies that create alpha over the long term.
So, why do so many of these strategies fail?
There is an assumption many people make that cryptocurrency will act just like stocks and ETFs, and it does not. ETF returns have more of a Gaussian probability distribution. Because of this, ETFs have a short term mean reverting behavior that can be capitalized on consistently. Many technical indicators are built to take advantage of this on the equities market. Many people apply them to crypto. Many of those people are drawn down 60-70% right now while there are mean reversion strategies up YTD on equities, even though the equities market is down. Crypto has many more "tail events" that occur 3-4+ standard deviations from the mean.
There is a correlation in many equities and ETF markets for how long an asset continues to do well when it is currently doing well. This is known as momentum, and that correlation and time-horizon is different for different assets. Many technical indicators are built based on this behavior, and then people apply them to cryptocurrency with little risk management assuming they behave the same and and on the same time horizon, without pulling in the statistics to verify if that is actually the case. They do not.
People do not take into account the brokerage commissions and slippage. Brokerage commissions are particularly high with cryptocurrency. The irony here isn't lost to me. When you factor in trading costs, it blows up most short-term trading strategies that might otherwise look profitable.
There is an assumption that it will "always come back" and that you "HODL" through the crash and "buy more." This is why Three Arrows Capital, a $10 billion dollar crypto hedge fund is now in bankruptcy, and no one can find the owners. This is also why many that trade crypto are drawn down 60-70% right now. There are bad risk practices in place, like thinking the martingale gambling strategy is the same as dollar cost averaging while also using those terms interchangeably. They are not the same. The 1st will blow up your trade account, and the 2nd will reduce timing risk. Many people are systematically blowing up their trade accounts/strategies by using martingale and calling it dollar cost averaging. The more risk you are exposing yourself too, the more important your risk management strategy is.
There is an odd assumption some have that you can buy anything and win with technical/quantitative analysis. Technical analysis does not tell you what you should buy, it just tells you when. If you are running a strategy that is going long on an asset that lost 80% of its value in the last year, then your strategy is probably down. That same strategy might be up on a different asset. One might consider a different methodology on choosing assets to trade.
Lastly, most strategies are over-fit, or curve-fit. The more complicated and more parameters/settings you have in your model, the more likely it is just fit to historical data and will not perform similar in live trading. This is one of the reasons why I like simple models with few parameters. They are less likely to be over-fit to historical data. If the strategy only works with 1 set of parameters, and there isn't a range of parameters around it that create alpha, then your strategy is over-fit and is probably not suitable for live trading.
So, what can I do about all of this!?
I created the VIDYA Trend Strategy to provide an example of how one might create a basic model with a basic risk management strategy that might generate long term alpha on a volatile asset, like cryptocurrency. This is one (of many) risk management strategies that can reduce the volatility of your returns when trading any asset. I chose the Variable Index Dynamic Average (VIDYA) for this example because it's calculation filters out some market noise by taking into account the volatility of the underlying asset. I chose a trend following strategy because regressions are capturing behaviors that are not just specific to the equities market.
The more volatile an asset, the more you have to back-off the short term price movement to effectively trend-follow it. Otherwise, you are constantly buying into short term trends that don't represent the trend of the asset, then they reverse and loose money. This is why I am applying a trend following strategy to a 4 hour chart and not a 4 minute chart. It is also important to note that following these long term trends on a volatile asset exposes you to additional risk. So, how might one mitigate some of that risk?
One of the ways of reducing timing risk is scaling into a trade. This is different from "doubling down" or "trippling down." It is really a basic application of dollar cost averaging to reduce timing risk, although DCA would typically happen over a longer time period. If it is really a trend you are following, it will probably still be a trend tomorrow. Trend following strategies have lower win rates because the beginning of a trend often reverses. The more volatile the asset, the more likely that is to happen. However, we can reduce risk of buying into a reversal by slowly scaling into the trend with a small % of equity per trade.
Our example "VIDYA Trend Strategy" executes this by looking at a medium-term, volatility adjusted trend on a 4 hour chart. The script scales into it with 4% of the account equity every 4-hours that the trend is still up. This means you become fully invested after 25 trades/bars. It also means that early in the trade, when you might be more likely to experience a reversal, most of your account equity is not invested and those losses are much smaller. The script sells 100% of the position when it detects a trend reversal. The slower you scale into a trade, the less volatile your equity curve will be. This model also includes slippage and commissions that you can adjust under the "settings" menu.
This fundamental concept of reducing timing risk by scaling into a trade can be applied to any market.
Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
2x take profit, move stop loss to entryTwo take profit targets moving stop loss to entry after first take profit hit
This strategy shows a method to achieve the following trade management:
1) Open a position with two take profit targets
2) When first take profit is hit, move the stop loss to entry price
3) Position is closed when either second take profit is hit or position is stopped out at entry
Trading Conditions
The trading conditions used in this script are for illustrative purposes only and are not meant to be profitable.
Bollinger Bands
Used to show areas where price is moving outside of the normal range
Stochastic
Used to show overbought and oversold conditions.
Green dots are plotted when the K line crosses over its SMA. Red dots are plotted when the K line crosses under its SMA.
The option to use overbought/oversold thresholds is again illustrative.
BEST Strategy Template AutoviewHello Traders
I've build a strategy template building for you the AUTOVIEW commands
I made this template based on this documentation: use.autoview.with.pink
You can select whether you want to use an SL or not, a TP or not, using the borrow/repay feature (only for Binance), ... and it will build dynamically the Autoview commands and will send them when entry/exit alerts trigger.
The template accept SL/TP in percentage or pips/USD distance from the entry price
MAGICAL !!!! (not really, just some dumb coding)
Users will have to specify from the settings:
- the Autoview account name
- the symbol name: I couldn't capture it from the chart because sometimes the symbol name on the broker side is different than the one from the TradingView side
- the position size
- the broker name (Tradovate, Binance, Bitmex, FTX, ...)
- if you want to send the alerts to your DEMO or LIVE account
- a debug mode to check if your alerts are well formatted
- and a few other interesting options...
If you want to use it, you'll have to update the dummy entries logic lines 97-98 and replacing those two lines by your own stuff
I'll make the ProfitView and 3Commas and Alertatron versions shortly.
Basically the same script but with the commands built for those 3 automation third-parties.
Best regards
Dave
RELATIVE VALUE TRADE MANAGEMENT WEBHOOKThis script it's created to send open-close signals via webhook. It allows you to open a relative value position based in the relative graph. You can set the TP and SL levels and the script will send the signal to your exchange.
Due a pine limitations it is necessary apply the script in the 2 different actives and set the alerts. You can just do the relative analysis and then go to the first asset and set the script. Create your alert and then just go to the other asset and create the alert. It doesn't necessary to change anything in the script because the levels are the same.
It is also possible to do the analysis using the script, deploying the relative graph, but could be annoying sometimes due scales.
Positions will be placed at close always.
THIS IS IMPORTANT: I use Zignaly as a exhange so if you are using Binance or other YOU MUST CHANGE the code. If you know the JSON format that It requires would be easy.
Here is tips in all the important imputs. But let me explain the most important.
The MANDATORY fields are:
Ticker IDs: Here you must write the EXACT ID code for the active. Caps included.
Example : BINANCE:SUSHIUSDTPERP
It is also important select the correct market side. If you want to be long of ANY active you must write that ID in the LONG ID. For short positions is the same.
Time frame: Here you can select the time frame of the graph (not the current active graph, I mean the relative one.) The orders will be send using that time frame. I recommend to do the analysis in other window and then use the script to trigger the order in the time frame that you want.
Money management: In these fields you can select the qty that you will lose if the SL level is reach. Based in a determinated amount of currency or in a % of your capital.
Dates: It is important to select the start date. If the order is already open, we must look for the moment where the activation price was reached. If the order is unopened it is better to select the current date, so the order will be triggered when the entry level is reached.
Ids: If you have current open position you can set here that ID to send the correct order to the exchange.
To set the alert just call the function {{{strategy.order.alert_message}}}
Joker Trailing TP BotTrailing Take Profit is used by the traders to increase their gains when the prices moves in a favorable direction. Let’s have a look at what is Trailing Take Profit and how it works.
What Is a Trailing Take Profit?
Trailing Take Profit is a term largely used in crypto, whereas you may encounter the term Trailing Stop in traditional trading describing almost the same thing, So what’s the difference between Trailing Take Profit and Trailing Stop? Trailing Stop is a type of Stop Loss automatically moving in the same direction as the asset’s price. Trailing Take Profit is nothing else than Trailing Stop activated after initial Take Profit is reached.
The main difference between these two is that Trailing Take Profit takes the profit in any case (altough it might be later annihilated by Trailing Stop). Thus, Trailing Take Profit reduces the risks that might’ve occurred using Trailing Stop alone. Trailing Take Profit is bound to the maximum of Take Profit price instead of just a price increase/decrease.
As you might notice, the terms Trailing Take Profit and Stop Loss are quite similar. To avoid confusion, in this article we will be talking about Trailing Take Profit as defined above.
Trailing Take Profit only moves in one direction. It is designed to lock in profit and limit losses. The trailing profit only moves up (in case of a long strategy) once the price has surpassed previous high and a new high has been established. If the trailing take profit moves up, it cannot move back down, thus securing the profit and preventing losses.
Trailing Take Profit allows the trade to remain open and continue to profit as long as the price is moving in the investor’s favor. If the price changes direction and the change surpasses the previously set percentage the order will be closed.
How Does it Work?
For example if you buy BTC at the price of 10000, if you set a Take Profit at 11000 and a Trailing Take Profit at 5% :
If the price goes up to 10500, nothing happens because the Take Profit at 11000 has not been reached.
Then if the BTC price goes up top 11000, a Stop Order at 10450 will be set.
Then if the BTC price goes down to 10500, the Stop Order stays at 104500.
Then if the BTC price goes up to 12000, the Stop Order moves to 11400.
Then if the BTC price goes down to 11000, the Stop Order at 11400 is executed.
You see that without Trailing Take Profit, the buy order would have been sold at 11000. Thus, a trader would miss an earning opportunity at 11400.
Dual Fibonacci Zone & Ranged Vol DCA Strategy - R3c0nTraderWhat does this do?
This is for educational purposes and allows one to backtest two Fibonacci Zones simultaneously. This also includes an option for Ranged Volume as a parameter.
Pre-requisites:
First off, this is a Long only strategy as I wrote it with DCA in mind. It cannot be used for shorting. Shorting defeats the purpose of a DCA bot which has a goal that is Long a position not Short a position. If you want to short, there are plenty of free scripts out there that do this.
You must have some base knowledge or experience with Fibonacci trading, understanding what is ADX, +DI (and -DI), etc.
You can use this script without a 3Commas account and see how 3Commas DCA Bot would perform. However, I highly recommend inexperienced uses get a free account and going through the tutorials, FAQ's and knowledgebase. This would give you a base understanding of the settings you will see in this strategy and why you will need to know them. Only then should you try testing this strategy with a paper bot.
Background
After I had created and released "Fibonacci Zone DCA Strategy", I began expanding and testing other ideas.
The first idea was to add Ranged Volume to the Fibonacci Zone DCA strategy which I wanted for providing further confirmation before entering a trade. The second idea was to add a second Fibonacci Zone that was just as configurable as the first Fibonacci Zone. I managed to add both and they can be easily enabled or disabled via the strategy settings menu.
Things Got Real Interesting
Things got real interesting when I started testing strategies with two Fibonacci zones. Here's a quick list of what I found I was able to do:
Mix and match exit strategies. I could set the Fib-1 zone strategy to exit with a take profit % and separately set the Fib-2 zone strategy to exit when the price crosses the top-high fib border
Trade the trend. A common phrase amongst traders is "the Trend is your friend" and with the help of an additional Fib Zone, I was able to trade the trend more often by using two different Fib Zone strategies which if configured properly can shorten time to re-deploy capital, increase number of closed trades, and in some cases increase net profit.
Trade both bull market uptrends and bear market downtrends in the same strategy. I found I could configure one Fib Zone strategy to be really good in uptrends and another Fib Zone strategy to be really good in downtrends. In some cases, with both Fib Zone strategies enabled together in a single strategy I got better results than if the strategies were backtested separately.
There are many other trade strategies I am finding with this. One could be to trade a convergence or divergence of the two different Fib Zones. This could possibly be achieved by setting one strategy to have different Fibonacci length.
Credits:
Thank you "EvoCrypto" for granting me permission to use "Ranged Volume" to create this strategy
Thank you "eykpunter" for granting me permission to use "Fibonacci Zones" to create this strategy
Thank you "junyou0424" for granting me permission to use "DCA Bot with SuperTrend Emulator" which I used for adding bot inputs, calculations, and strategy
BEST Strategy Template w/ Custom SL/TP Size - EducationalHello traders
I'm getting this question at least once per week: "how to define a custom exit quantity for my stop loss and a different one for my take profit"
Instead of answering every day the same question in my DMs, I've decided to publish an educational strategy template script using this
Features
- Select to use or not the SL and/or TP
- Define how many pips/USD the SL/TP should be set at from the entry
- Define what quantity percentage you want to close at SL and/or at TP (lines 301 to 320 in the code)
- Classical custom trailing stop where the SL is moved to breakeven once the TP is hit
- Get real-time backtesting stats based on the options you've selected
Update
You might not know it yet but from last week (or maybe the week before), the qty/qty_percent from the strategy.exit function refers now to the initial position size (and not the remaining position size like before)
For example:
strategy.exit("EX1", qty_percent = 50, stop = constant)
strategy.exit("EX2", qty_percent = 20, stop = constant)
What happened before
After "EX1" reaches SL levels, "EX2" exits 20% from the % of the remaining position size.
If the initial position size = 100 contracts
EX1 exits 50 contracts
EX2 exits 20% of 50 contracts = 10 contracts
What's happening now
After "EX1" reaches SL levels, "EX2" exits 20% from the % of the original position size.
If the initial position size = 100 contracts
EX1 exits 50 contracts
EX2 exits 20 (20% of 100 contracts) contracts
I think this is an improvement and I really enjoy this new behavior.
See you in a few days with another post :)
ALL THE BEST
Dave
Buy and hold strategyA simple buy and hold strategy. A short or a long position can be chosen. The start date will determine the date where your position will start and end date is the date it will end. This works well as a baseline to your other existing strategies since buy and hold is just the simplest strategy available.
