Smart DCA Invest LiteEnglish description:
📊 Smart DCA Invest – Features Overview
✅ Automated DCA strategy with dynamic profit targets, optimized risk management.
⚙️ Functionality:
🕒 Time Interval Settings
• 📅 Start Date and Time: The strategy activates only after the specified start time.
• 🔄 Auto Restart: Automatically restarts the strategy after a position is closed.
💵 Investment Amounts
• 🟢 Initial Investment Amount: The amount invested when the first position is opened.
• 🔄 Recurring Investment Amount: The amount invested periodically for subsequent purchases.
📊 Purchase Frequency
• ⏱ Interval Between Purchases: Specifies the minimum number of candles between two purchases to avoid overly frequent position expansions.
🛡️ Risk Management
• 📉 Loss Limit: The strategy halts additional purchases if the price does not drop below a predefined loss level, optimizing the average cost reduction.
• 🎯 Take Profit: A predefined profit target percentage, triggering position closure upon reaching it.
📈 Dynamic Take Profit (TP) Settings
• ⏳ TP Increase Frequency: The interval in days for dynamic TP growth.
• 📊 TP Growth Rate: The percentage by which the TP level increases at the end of each interval.
• ⚙️ Enable Dynamic TP: Allows the TP level to increase dynamically over time based on holding duration.
• 🧠 Smart Invest: Accumulates skipped purchases above the average entry or loss limit price and invests them when the price drops below the loss limit.
🎨 Visual Representation
• 📏 Average Price Line: Displays the average entry price in yellow.
• 🛑 Stop Limit Line: Displays the loss limit in red.
• ✅ Take Profit Line: Displays the dynamically updated profit target in green.
🎨 Visual Elements
• 📏 Average Price Line: Visualizes the average cost on the chart.
• 🛑 Stop Limit Line: Visualizes the loss limit level.
• ✅ Take Profit Line: Displays the TP level graphically.
• 📊 Statistics Table: Detailed data summary presented in a table at the end of the strategy.
📊 Statistics Table
• 📈 Average Price: The average entry price of the current position.
• 🛑 Stop Limit: The loss limit value.
• ✅ Take Profit: The profit target value.
• 📦 Position Size: The size of the current position.
• 💵 Max Invested Amount: The highest amount invested.
• ⏳ Longest DCA Period: The longest duration a DCA position was open.
• 💼 Current Investment: The amount currently invested.
• 🔄 Multiplier: Purchase multiplier value.
• 📊 Dynamically Adjusted TP %: The current dynamic Take Profit percentage.
- Recommended for retesting
Hungarian description:
📊 Smart DCA Invest – Funkciók Leírása
✅ Automatizált DCA stratégia dinamikus profitcélokkal, optimalizált kockázatkezeléssel.
⚙️ Működés:
🕒 Időintervallum Beállítások
• 📅 Kezdési dátum és idő: A stratégia csak a meghatározott kezdési időpont után aktiválódik.
• ⏳ Befejezési dátum és idő: A stratégia a meghatározott időpontig működik.
• 🔄 Automatikus újraindítás: Pozíciózárás után a stratégia automatikusan újraindulhat.
💵 Befektetési Összegek
• 🟢 Első befektetési összeg: Az első pozíció nyitásakor befektetett összeg.
• 🔄 Napi vásárlási összeg: Ismételt periódusonkénti vásárlások összege.
📊 Vásárlási Gyakoriság
• ⏱ Intervallum két vásárlás között: Meghatározza a minimális gyertya intervallumot két vásárlás között, elkerülve a túl gyakori pozícióbővítéseket.
🛡️ Kockázatkezelés
• 📉 Loss Limit: Ha az ár nem csökken egy meghatározott veszteségi szint alá, a stratégia nem vásárol tovább, hogy hatékonyabban csökkentse az átlagárat.
• 🎯 Take Profit: Előre meghatározott profitcél százalékos értéke, amely elérésekor a pozíció lezárul.
📈 Dinamikus Take Profit (TP) Beállítások
• ⏳ TP növelési gyakoriság: A dinamikus TP növekedésének időszaka napokban.
• 📊 TP növekedés mértéke: A TP szint százalékos növekedése az intervallum végén.
• ⚙️ Dinamikus TP engedélyezése: A TP szint dinamikusan növekszik a tartási idő függvényében.
• 🧠 Smart Invest: Kihagyott vásárlások felhalmozása (átlagos bekerülési vagy „Loss limit” feletti árfolyamnál), amelyek a „Loss limit” árszint alatt befektetésre kerülnek.
🎨 Vizuális Megjelenítés
• 📏 Átlagár vonal: Sárga színnel jelzi az átlagárat.
• 🛑 Stop Limit vonal: Piros színnel jelzi a veszteségi korlátot.
• ✅ Take Profit vonal: Zöld színnel jelzi a dinamikusan frissülő profitcélt.
🎨 Vizuális Elemek
• 📏 Átlagár vonal: Az átlagár megjelenítése a grafikonon.
• 🛑 Stop Limit vonal: A veszteségkorlátozási szint megjelenítése.
• ✅ Take Profit vonal: A Take Profit szint grafikai megjelenítése.
• 📊 Statisztikai táblázat megjelenítése: A stratégia végén részletes adatok jelennek meg egy táblázatban.
📊 Statisztikai Táblázat
• 📈 Átlagár: Az aktuális pozíció átlagos bekerülési ára.
• 🛑 Stop Limit: A veszteségkorlátozási szint értéke.
• ✅ Take Profit: A profitcél értéke.
• 📦 Pozícióméret: Az aktuális pozíció nagysága.
• 💵 Maximális befektetett összeg: A legnagyobb befektetett érték.
• ⏳ Leghosszabb DCA időszak: A leghosszabb időtartam, amíg egy DCA pozíció nyitva maradt.
• 💼 Aktuális befektetés: Az aktuálisan befektetett összeg.
• 🔄 Multiplikátor: Vásárlási szorzó érték.
• 📊 Dinamikusan beállított TP %: Az aktuálisan érvényes Take Profit százalékos értéke.
Buy
Phase Cross Strategy with Zone### Introduction to the Strategy
Welcome to the **Phase Cross Strategy with Zone and EMA Analysis**. This strategy is designed to help traders identify potential buy and sell opportunities based on the crossover of smoothed oscillators (referred to as "phases") and exponential moving averages (EMAs). By combining these two methods, the strategy offers a versatile tool for both trend-following and short-term trading setups.
### Key Features
1. **Phase Cross Signals**:
- The strategy uses two smoothed oscillators:
- **Leading Phase**: A simple moving average (SMA) with an upward offset.
- **Lagging Phase**: An exponential moving average (EMA) with a downward offset.
- Buy and sell signals are generated when these phases cross over or under each other, visually represented on the chart with green (buy) and red (sell) labels.
2. **Phase Zone Visualization**:
- The area between the two phases is filled with a green or red zone, indicating bullish or bearish conditions:
- Green zone: Leading phase is above the lagging phase (potential uptrend).
- Red zone: Leading phase is below the lagging phase (potential downtrend).
3. **EMA Analysis**:
- Includes five commonly used EMAs (13, 26, 50, 100, and 200) for additional trend analysis.
- Crossovers of the EMA 13 and EMA 26 act as secondary buy/sell signals to confirm or enhance the phase-based signals.
4. **Customizable Parameters**:
- You can adjust the smoothing length, source (price data), and offset to fine-tune the strategy for your preferred trading style.
### What to Pay Attention To
1. **Phases and Zones**:
- Use the green/red phase zone as an overall trend guide.
- Avoid taking trades when the phases are too close or choppy, as it may indicate a ranging market.
2. **EMA Trends**:
- Align your trades with the longer-term trend shown by the EMAs. For example:
- In an uptrend (price above EMA 50 or EMA 200), prioritize buy signals.
- In a downtrend (price below EMA 50 or EMA 200), prioritize sell signals.
3. **Signal Confirmation**:
- Consider combining phase cross signals with EMA crossovers for higher-confidence trades.
- Look for confluence between the phase signals and EMA trends.
4. **Risk Management**:
- Always set stop-loss and take-profit levels to manage risk.
- Use the phase and EMA zones to estimate potential support/resistance areas for exits.
5. **Whipsaws and False Signals**:
- Be cautious in low-volatility or sideways markets, as the strategy may generate false signals.
- Use additional indicators or filters to avoid entering trades during unclear market conditions.
### How to Use
1. Add the strategy to your chart in TradingView.
2. Adjust the input settings (e.g., smoothing length, offsets) to suit your trading preferences.
3. Enable the strategy tester to evaluate its performance on historical data.
4. Combine the signals with your own analysis and risk management plan for best results.
This strategy is a versatile tool, but like any trading method, it requires proper understanding and discretion. Always backtest thoroughly and trade with discipline. Let me know if you need further assistance or adjustments to the strategy!
Ema ScalpThis is another simple strategy based on ema
Entry Buy - 1) when close crossover ema then buy and only open one trade till it not close
2) if previous buy trade is profitable open another trade and check again trade is profitable or not
3)if trade is not profitable reset and wait for sell condition...
Entry Sell -1) when close crossunder ema then sell and only open one trade till it not close
2) if previous sell trade is profitable open another trade and check again trade is profitable or not
3) if trade is not profitable reset and wait for buy condition.....
stop loss and take profit is percentage based ...
Alex trading stragedyOverview
This script, named "ALEX TRADING STRATEGY", is a technical trading strategy designed for new investing groups. It uses a combination of various technical indicators to identify potential buying and selling opportunities in the market. The script includes the Relative Strength Index (RSI), Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Higher High Lower Low (HHLL) strategies to create a complete trading solution.
The user can change the position from long to short in the Input Settings. The script uses bar colors to indicate the current trading position. The script also has exit strategies to help manage the open trades. The user can also set the period for the various indicators used in the strategy.
The script provides various technical indicators and entry/exit signals to make the trading decision easier for the user. It also includes pivot lines, resistance and support levels to help the user make a more informed decision.
This Pine script implements a multi-indicator trading strategy that combines several technical analysis techniques for making trading decisions. The script uses the Relative Strength Index (RSI) to determine overbought and oversold conditions in the market and plots the RSI values on the chart. The RSI values above 70 are considered overbought and plotted as red upward triangles, while the RSI values below 30 are considered oversold and plotted as green downward triangles.
The script also calculates Simple Moving Averages (SMAs) with the user-defined period and plots them along with the Exponential Moving Averages (EMAs) of 20, 50, and 100 periods. Based on the crossover of the close price and the moving averages, the script enters long or short trades. The script sets the trade exit conditions as the low or high crossing the lower or upper band, respectively.
In addition to the moving average crossover, the script uses the highest high and lowest low over a user-defined period to determine long and short entries. The script plots the long and short conditions on the chart as green upward and red downward triangles, respectively. The script allows the user to switch between long and short trades by changing the input settings.
Finally, the script changes the bar colors based on the trade direction, with green bars indicating a long trade, red bars indicating a short trade, and blue bars indicating no trade. Overall, this Pine script provides a comprehensive trading strategy that combines several technical analysis techniques to make informed trading decisions.
HOW TO USE
Input Settings: In the Input Settings section, you can change the long to short position. You can also change the period value (default is 10) used to calculate the Simple Moving Average (SMA) for the Keltner channel.
Indicators: The script uses RSI (Relative Strength Index) with 14 periods as well as multiple EMAs (Exponential Moving Averages) with periods 20, 50, and 100 to help in making trading decisions.
Entry Signals: The script uses two main entry signals: (1) Keltner Channel and (2) HHLL (High-Low). When the closing price crosses above the upper band of the Keltner channel, the script generates a long signal, and when the closing price crosses below the lower band of the Keltner channel, the script generates a short signal. The HHLL strategy generates a long signal when the current high crosses above the highest high of the last "nPeriod" bars, and generates a short signal when the current low crosses below the lowest low of the last "nPeriod" bars.
Exit Signals: The script uses two exit signals: (1) Stop Loss based on Keltner channel and (2) Profit Target based on Keltner channel. The script exits the long position when the closing price crosses below the lower band of the Keltner channel, and the script exits the short position when the closing price crosses above the upper band of the Keltner channel.
To use this script, you will need to have access to a trading platform that supports PineScript, such as TradingView, and attach the script to a chart. The script will then automatically generate entry and exit signals based on the rules described above. It's important to note that this script is just a tool and not a guarantee of profit. As with any trading strategy, it's important to thoroughly test and understand the script before using it for live trading.
Davin's 10/200MA Pullback on SPY Strategy v2.0Strategy:
Using 10 and 200 Simple moving averages, we capitalize on price pullbacks on a general uptrend to scalp 1 - 5% rebounds. 200 MA is used as a general indicator for bullish sentiment, 10 MA is used to identify pullbacks in the short term for buy entries.
An optional bonus: market crash of 20% from 52 days high is regarded as a buy the dip signal.
An optional bonus: can choose to exit on MA crossovers using 200 MA as reference MA (etc. Hard stop on 50 cross 200)
Recommended Ticker: SPY 1D (I have so far tested on SPY and other big indexes only, other stocks appear to be too volatile to use the same short period SMA parameters effectively) + AAPL 4H
How it works:
Buy condition is when:
- Price closes above 200 SMA
- Price closes below 10 SMA
- Price dumps at least 20% (additional bonus contrarian buy the dip option)
Entry is on the next opening market day the day after the buy condition candle was fulfilled.
Sell Condition is when:
- Prices closes below 10 SMA
- Hard stop at 15% drawdown from entry price (adjustable parameter)
- Hard stop at medium term and long term MA crossovers (adjustable parameters)
So far this strategy has been pretty effective for me, feel free to try it out and let me know in the comments how you found :)
Feel free to suggest new strategy ideas for discussion and indicator building
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.
DaveStratThis script attempts to guess inflection points in cryptocurrency asset prices using change in two simple moving averages on the daily timescale.
Crypto Correlation Strategy based on Technical Ratings This is a swing trading crypto correlation strategy, based initially on technical ratings but adapted to the entire crypto market environment , by using as a source of calculations the candle values from CRYPTOCAP:TOTAL.
So since TOTAL, is the sum of all the crypto currencies, its going to be our leader. We will get the entries and exits , internally from it and input them into the crypto coins(more than 80-90% of the usdt perpetual pairs are following the same direction but with a higher volatility), and with this in general is going to give us as much better risk/reward than just by trading 1 coin alone.
So this means that all coins will enter and exit at the same time forom a trade. With this, since sometimes we have sudden big changes in the price form one side to another, is going to break a little this effect and since the initial movements were bigger, it would make us lose less. At the same time it can also make us lose more if the changes happen to soon.
One of the things of this particular idea is we dont have to worry about particular optimizations for each asset/coin.
This scenario has been adapted for 30min timeframe, using 0.1% comission per entry and 0.1% comission for exit from the trade.
I have tested so far with most USDT Perpetual Pairs from binance, and it seems to give good results with most of the pairs.
If you have any question please let me know !
Swing Stock designed for Monthly/Yearly Trading This is a strategy tester designed around the most important data from FRED - Federal Reserve Economic Data
As input data, we have:
// Personal Consumption Expenditures
// Real Retail and Food Services Sales
// Leading Index for the United States
// All Employees: Total Nonfarm Payrolls
// Real Gross Domestic Product
// Gross Domestic Product
I adapted the long and short entry based on the GDP data, since they are most accurate in prediction compared to the rest.
However, feel free to test with other as well if you want.
For this test I compared previous GDP values, if they were higher than previous that represent a long signals, if they were smaller that represents a reversal=short signal.
From the tests performed we can see that GDP is highly accurate and overall as long as there is patience, profits are going to be make, sometimes even beat the index itself.
If you have any questions, let me know !
Super Scalper - 5 Min 15 MinThis strategy is based on RSI and ATR Bands which works better in 5 and 15 Mins time frame.
Perform enough back testing with 1:2R before using in real time.
Entry only on trade on screen symbols, use additional buy/sell alerts to book profit or to trail SL.
I have also added Golden Cross Over of 65 and 21 EMA to have confirmation on trend.
Up & Down Trend Trading Strategy - BNB/USDT 15minThis strategy will focus on up trend trading and down trend trading based on several indicators such as;
for up trend
1. SAR indicator
2. Super trend indicator
3. Simple moving average for the period of 100
down trend
1. RSI Indicator
2. Money flow index
3. Relative volatility index
4. Balance of powder
Instrument-Z (3Commas Bot)Instrument-Z is what I am currently using as my 3Commas Bot.
It allows you to customize signals from 3 indicators; Crossing MA's, Stochastic RSI, and WaveTrend.
Better yet, it allows you to setup these signals separately depending on whether the Trend MA is going up or down.
So there are 2 sets of inputs for everything, Uptrend inputs and Downtrend inputs.
I have realized that we can't expect a strategy to work the same way in an uptrend vs downtrend, so the inputs should be separated too.
In my testing, separating increased the net profit by 60% on average.
You can select whether you are trading Long or Short.
You can choose your stop loss and take profit levels as well as trade expiration.
You can choose if you only want to trade with the trend (making the opposing signals irrelevant).
The trend is based on the Trend MA.
This script is specifically for cryptocurrencies.
I've noticed that MA crosses on other asset classes are unreliable because the fluctuations are not strong enough to push the MA's across each other in a meaningful way.
If you want to use this as a 3Commas Bot, then you will have to copy the code of the strategy and paste it into your own personal script.
Then you have to change the alert messages at the bottom of the script.
Make sure to change your alert message from this;
{"message_type": "bot", "bot_id": 0000000, "email_token": "0b000a0a-0aa0-00aa-0aa0-000a00000a0a", "delay_seconds": 0}
To this;
{ \"message_type\": \"bot\", \"bot_id\": 0000000, \"email_token\": \"0a000a0a-0aa0-00aa-0aa0-000a00000a0a\", \"delay_seconds\": 0 }
With after each new line and \ before each quotation.
In the Alert setup, select "alert() function calls only".
This indicator is like a middle ground of complexity between the Juicy Trend indicator and the Instrument-A indicator.
And because it does not feature my neural network project, I have made it open script.
Enjoy!
No-lose trading targets (Based on EoRfA) By Mustafa ÖZVERI simulated the NLTTa_EoRfA indicator with the Bitcoin-USD
For details about the indicator, visit my profile on tradingview
For Simulation, with default settings, we order
When on Long setup and price on green area
- open a long position that closes on red area
When on Short setup and price on red area
- open a short position that closes on green area
And we got
- about 15% profit
But only this value can not guarantee good results for trading. BE CAREFUL
Juicy TrendThis script is simple.
It uses EMA and HMA crosses to find entries and exits.
There is an option for sourcing Heikin Ashi based entries/exits.
There is an option for Stop Loss percentage.
It is made for finding Long entries on the 45min chart.
You can optimize the signals by adjusting the moving average lengths.
The default settings are for BTC/USDT 45min.
Suggestion, reduce the Stop Loss percentage for smaller / more volatile assets.
Day of Week Custom Buy/Sell StrategyThis strategy was made for bitcoin and allows you to back test longing or shorting for various days of the week. The price may tend to go in one direction or another for each week day, and this strategy allows you to test days across a range of dates to capitalize on this.
Make sure you are on the daily time frame while viewing the performance and trade history to ensure the script works as intended and you have the most historical data as possible from Trading View.
Custom Date Buy/Sell StrategyThis strategy allows you to back test longing or shorting during a period of time between two dates.
Make sure you are in the daily time frame while viewing the performance and trade history to ensure you have the most historical data as possible from Trading View.
Finally, due to the way Trading View enters trades at the end of a candle, you must subtract one day from your starting and your end dates.
[astropark] Moon Phases [strategy]Dear Followers,
today I'm glad to present you an indicator which calculates Moon Phases and let's you backtest the simplest strategy over it: buy/sell on full moon and do the opposite on new moon.
This is a public free indicator based on the public one by @paaax:
I added my usual backtesting logic, plus some more customization inputs for easy coloring.
The lower the timeframe you backtest on, the more backtesting data are effective.
Enjoy!
-- astropark
[astropark] Rolling VWAP V2 [strategy]Dear Followers,
today I'm glad to present you yet another awesome Analysis Tool and Strategy, that you may like to use in your trading journey: Rolling VWAP V2 !
This is an upgraded version of my "Progressive VWAP" analysis tool (progressive and rolling are synonymous for me), its description describes quite well what a progressive/rolling vwap is and why they are important to watch:
This indicator can print automatically for you many important Rolling VWAPs:
Daily (D)
2 days (2D)
3 days (3D)
4 days (5D)
Weekly (W)
2 weeks (2W)
Monthly (M)
Quarterly (Q)
Yearly (Y)
As an indicator it will let you:
enable/disable each rolling vwap, change its color and line style and thickness
enable/disable labels and/or price on labels, as well as change their size
As a strategy it will let you:
enable/disable buy/sell signals
choose which strategy to use (all based on rolling vwaps of course)
choose a starting date & time from which to start backtesting
enable/disable individually long and short setups in the backtesting
You should choose low timeframe rolling vwap strategy if you are on a low timeframe, while higher timeframe rolling vwaps are good on medium-high timeframes.
For example D-2D-3D rolling vwap strategies are good at 1h or below, the others on higher timeframes. Backtesting results will help you in understanting this point quite easily.
This indicator works on every timeframe, market and pair. By the way it must be said that, as a bot strategy it has been tested and designed mostly for Bitcoin trading and it works best on 1h or above.
As I always say, all tools are great if you use them correctly: this is not the "Holy Grail", so always use proper money and risk management strategies.
This is a premium indicator , so send me a private message in order to get access to this script.
Super Rev StrategyThis is a strategy version of the super Rev Study, its a buy sell indicator that uses a combination of 3 super trend lines , EMA , Williams %R, the squeeze momentum indicator and the MK oscillator
The super trend lines and ema are utilised to locate the trend.
The williams %R has been incorporated to determine overbought/oversold conditions.
The MK oscillator is used to filter out trades
The buy and sell flags are generated based on the following conditions:
The location of the price in relation to the super trend lines
if the price is above or below the EMA .
If the Williams %R is oversold/overbought
Mk oscillator over or under
The squeeze momentum indicator can be added as a filter to only allows trade in certain conditions i.e bullish and above the 0 line or avoid trades if bearish and above the 0 line for example.
All the indicators involved can be customised to created a unique indicator
we strongly recommend testing this strategy in bar replay mode to highlight repaint conditions, increasing the candle confirmation on the Mk oscillator settings can be used to minimise these situations
The strategy results in the image, have used the following inputs to generate the results
Starting equity - 10,000
% of equity - 10%
Commission - 0.0075
Slippage - 10 pips
Created by manomanomano, Developed by @badshah_e_alam
Jaws Mean Reversion [Strategy]This very simple strategy is an implementation of PJ Sutherlands' Jaws Mean reversion algorithm. It simply buys when a small moving average period (e.g. 2) is below
a longer moving average period (e.g. 5) by a certain percentage and closes when the small period average crosses over the longer moving average.
If you are going to use this, you may wish to apply this to a range of investment assets using a screener for setups, as the amount signals are low. Alternatively, you may wish to tweak the settings to provide more signals.
Context can be found here:
LINK
Bollinger DCA v1Simple "benchmark" strategy for ETFs, Stocks and Crypto! Super-easy to implement for beginners, a BTD (buy-the-dip) strategy means that you buy a fixed amount of an ETF / Stock / Crypto every time it falls. For instance, to BTD the S&P 500 ( SPY ), you could purchase $500 USD each time the price falls. Assuming the macro-economic conditions of the underlying country remain favourable, BTD strategies will result in capital gains over a period of many years, e.g. 10 years.
Recommended Chart Settings:
Asset Class: ETF / Stocks / Crypto
Time Frame: H1 (Hourly) / D1 (Daily) / W1 (Weekly) / M1 (Monthly)
Necessary ETF Macro Conditions:
1. Country must have healthy demographics, good ratio of young > old
2. Country population must be increasing
3. Country must be experiencing price-inflation
Necessary Stock Conditions:
1. Growing revenue
2. Growing net income
3. Consistent net margins
4. Higher gross/net profit margin compared to its peers in the industry
5. Growing share holders equity
6. Current ratios > 1
7. Debt to equity ratio (compare to peers )
8. Debt servicing ratio < 30%
9. Wide economic moat
10. Products and services used daily, and will stay relevant for at least 1 decade
Necessary Crypto Conditions:
1. Honest founders
2. Competent technical co-founders
3. Fair or non-existent pre-mine
4. Solid marketing and PR
5. Legitimate use-cases / adoption
Default Robot Settings:
Contribution (USD): $500
When: Dips below lower Bollinger Band
*Robot buys $500 worth of ETF , Stock, Crypto, every time price falls below the lower Bollinger Band
*Equity curve can be seen from the bottom panel*
Risk Warning:
This strategy is low-risk, however it assumes you have a long time horizon of at least 5 to 10 years. The longer your holding-period, the better your returns. The only thing the user has to keep-in-mind are the macro-economic conditions as stated above. If unsure, please stick to ETFs rather than buying individual stocks or cryptocurrencies.
Jim's MACDMACD Buy/Sell Strategy
Filters bearish crossovers above the 0 line and bullish crossovers below.
Uses 34 ema to further filter the trades and take only longs above and only shorts below.
Apply at least 2:1 risk to reward ratio to account for losing trades.
Trade at own risk!
Buy and Hold entry finder StrategyHello everyone!
I proudly present the backtest Strategy Script for my "Buy and Hold entry finder" Script.
It basically shows you the outcome, if you would use my indicator in the past.
The buy signals are limited to 1 order per month.
Order Size: Allows you to choose, how much money you want to invest per month. (Please consider, it will only invest an x amount per Order, but it will not stack the amount you did not invest in an previous month ) (Example in my indicator)
Pyramiding: Just regulates, how often you can open an position.
Commission: Here you can set how much it will cost to open an position at your broker.
I coded a feature that allows you to set a Start Date and an End Date for your backtest. In the end of the backtest the script closes all positions.
If you got any question, feel free to ask in the comments or send me a message.
Sincerely, RS Titan.
