Enhanced BarUpDn StrategyEnhanced BarUpDn Strategy
The Enhanced BarUpDn Strategy is a refined price action-based trading approach that identifies market trends and reversals using bar formations. It focuses on detecting bullish and bearish momentum by analyzing consecutive price bars and key support/resistance levels.
Key Features:
✅ Trend Confirmation – Uses a combination of bar patterns and indicators (e.g., moving averages, RSI) to confirm momentum shifts.
✅ Entry Signals – A buy signal is triggered when an "Up Bar" (higher high, higher low) follows a bullish setup; a sell signal when a "Down Bar" (lower high, lower low) confirms bearish momentum.
✅ Enhanced Filters – Incorporates volume analysis and additional conditions to reduce false signals.
✅ Stop-Loss & Risk Management – Uses recent swing highs/lows for stop placement and dynamic trailing stops for maximizing gains.
Komut dosyalarını "bollingerband" için ara
Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
Sunil BB Blast Heikin Ashi StrategySunil BB Blast Heikin Ashi Strategy
The Sunil BB Blast Heikin Ashi Strategy is a trend-following trading strategy that combines Bollinger Bands with Heikin-Ashi candles for precise market entries and exits. It aims to capitalize on price volatility while ensuring controlled risk through dynamic stop-loss and take-profit levels based on a user-defined Risk-to-Reward Ratio (RRR).
Key Features:
Trading Window:
The strategy operates within a user-defined time window (e.g., from 09:20 to 15:00) to align with market hours or other preferred trading sessions.
Trade Direction:
Users can select between Long Only, Short Only, or Long/Short trade directions, allowing flexibility depending on market conditions.
Bollinger Bands:
Bollinger Bands are used to identify potential breakout or breakdown zones. The strategy enters trades when price breaks through the upper or lower Bollinger Band, indicating a possible trend continuation.
Heikin-Ashi Candles:
Heikin-Ashi candles help smooth price action and filter out market noise. The strategy uses these candles to confirm trend direction and improve entry accuracy.
Risk Management (Risk-to-Reward Ratio):
The strategy automatically adjusts the take-profit (TP) level and stop-loss (SL) based on the selected Risk-to-Reward Ratio (RRR). This ensures that trades are risk-managed effectively.
Automated Alerts and Webhooks:
The strategy includes automated alerts for trade entries and exits. Users can set up JSON webhooks for external execution or trading automation.
Active Position Tracking:
The strategy tracks whether there is an active position (long or short) and only exits when price hits the pre-defined SL or TP levels.
Exit Conditions:
The strategy exits positions when either the take-profit (TP) or stop-loss (SL) levels are hit, ensuring risk management is adhered to.
Default Settings:
Trading Window:
09:20-15:00
This setting confines the strategy to the specified hours, ensuring trading only occurs during active market hours.
Strategy Direction:
Default: Long/Short
This allows for both long and short trades depending on market conditions. You can select "Long Only" or "Short Only" if you prefer to trade in one direction.
Bollinger Band Length (bbLength):
Default: 19
Length of the moving average used to calculate the Bollinger Bands.
Bollinger Band Multiplier (bbMultiplier):
Default: 2.0
Multiplier used to calculate the upper and lower bands. A higher multiplier increases the width of the bands, leading to fewer but more significant trades.
Take Profit Multiplier (tpMultiplier):
Default: 2.0
Multiplier used to determine the take-profit level based on the calculated stop-loss. This ensures that the profit target aligns with the selected Risk-to-Reward Ratio.
Risk-to-Reward Ratio (RRR):
Default: 1.0
The ratio used to calculate the take-profit relative to the stop-loss. A higher RRR means larger profit targets.
Trade Automation (JSON Webhooks):
Allows for integration with external systems for automated execution:
Long Entry JSON: Customizable entry condition for long positions.
Long Exit JSON: Customizable exit condition for long positions.
Short Entry JSON: Customizable entry condition for short positions.
Short Exit JSON: Customizable exit condition for short positions.
Entry Logic:
Long Entry:
The strategy enters a long position when:
The Heikin-Ashi candle shows a bullish trend (green close > open).
The price is above the upper Bollinger Band, signaling a breakout.
The previous candle also closed higher than it opened.
Short Entry:
The strategy enters a short position when:
The Heikin-Ashi candle shows a bearish trend (red close < open).
The price is below the lower Bollinger Band, signaling a breakdown.
The previous candle also closed lower than it opened.
Exit Logic:
Take-Profit (TP):
The take-profit level is calculated as a multiple of the distance between the entry price and the stop-loss level, determined by the selected Risk-to-Reward Ratio (RRR).
Stop-Loss (SL):
The stop-loss is placed at the opposite Bollinger Band level (lower for long positions, upper for short positions).
Exit Trigger:
The strategy exits a trade when either the take-profit or stop-loss level is hit.
Plotting and Visuals:
The Heikin-Ashi candles are displayed on the chart, with green candles for uptrends and red candles for downtrends.
Bollinger Bands (upper, lower, and basis) are plotted for visual reference.
Entry points for long and short trades are marked with green and red labels below and above bars, respectively.
Strategy Alerts:
Alerts are triggered when:
A long entry condition is met.
A short entry condition is met.
A trade exits (either via take-profit or stop-loss).
These alerts can be used to trigger notifications or webhook events for automated trading systems.
Notes:
The strategy is designed for use on intraday charts but can be applied to any timeframe.
It is highly customizable, allowing for tailored risk management and trading windows.
The Sunil BB Blast Heikin Ashi Strategy combines two powerful technical analysis tools (Bollinger Bands and Heikin-Ashi candles) with strong risk management, making it suitable for both beginners and experienced traders.
Feebacks are welcome from the users.
The Bar Counter Trend Reversal Strategy [TradeDots]Overview
The Bar Counter Trend Reversal Strategy is designed to identify potential counter-trend reversal points in the market after a series of consecutive rising or falling bars.
By analyzing price movements in conjunction with optional volume confirmation and channel bands (Bollinger Bands or Keltner Channels), this strategy aims to detect overbought or oversold conditions where a trend reversal may occur.
🔹How it Works
Consecutive Price Movements
Rising Bars: The strategy detects when there are a specified number of consecutive rising bars (No. of Rises).
Falling Bars: Similarly, it identifies a specified number of consecutive falling bars (No. of Falls).
Volume Confirmation (Optional)
When enabled, the strategy checks for increasing volume during the consecutive price movements, adding an extra layer of confirmation to the potential reversal signal.
Channel Confirmation (Optional)
Channel Type: Choose between Bollinger Bands ("BB") or Keltner Channels ("KC").
Channel Interaction: The strategy checks if the price interacts with the upper or lower channel lines: For short signals, it looks for price moving above the upper channel line. For long signals, it looks for price moving below the lower channel line.
Customization:
No. of Rises/Falls: Set the number of consecutive bars required to trigger a signal.
Volume Confirmation: Enable or disable volume as a confirmation factor.
Channel Confirmation: Enable or disable channel bands as a confirmation factor.
Channel Settings: Adjust the length and multiplier for the Bollinger Bands or Keltner Channels.
Visual Indicators:
Entry Signals: Triangles plotted on the chart indicate potential entry points:
Green upward triangle for long entries.
Red downward triangle for short entries.
Channel Bands: The upper and lower bands are plotted for visual reference.
Strategy Parameters:
Initial Capital: $10,000.
Position Sizing: 80% of equity per trade.
Commission: 0.01% per trade to simulate realistic trading costs.
🔹Usage
Set up the number of Rises/Falls and choose whether if you want to use channel indicators and volume as the confirmation.
Monitor the chart for triangles indicating potential entry points.
Consider the context of the overall market trend and other technical factors.
Backtesting and Optimization:
Use TradingView's Strategy Tester to evaluate performance.
Adjust parameters to optimize results for different market conditions.
🔹 Considerations and Recommendations
Risk Management:
The strategy does not include built-in stop-loss or take-profit levels. It's recommended to implement your own risk management techniques.
Market Conditions:
Performance may vary in different market environments. Testing and adjustments are advised when applying the strategy to new instruments or timeframes.
No Guarantee of Future Results:
Past performance is not indicative of future results. Always perform due diligence and consider the risks involved in trading.
Quantitative Trend Strategy- Uptrend longTrend Strategy #1
Indicators:
1. SMA
2. Pivot high/low functions derived from SMA
3. Step lines to plot support and resistance based on the pivot points
4. If the close is over the resistance line, green arrows plot above, and vice versa for red arrows below support.
Strategy:
1. Long Only
2. Mutable 2% TP/1.5% SL
3. 0.01% commission
4. When the close is greater than the pivot point of the sma pivot high, and the close is greater than the resistance step line, a long position is opened.
*At times, the 2% take profit may not trigger IF; the conditions for reentry are met at the time of candle closure + no exit conditions have been triggered.
5. If the position is in the green and the support step line crosses over the resistance step line, positions are exited.
How to use it and what makes it unique:
Use this strategy to trade an up-trending market using a simple moving average to determine the trend. This strategy is meant to capture a good risk/reward in a bullish market while staying active in an appropriate fashion. This strategy is unique due to it's inclusion of the step line function with statistics derived from myself.
This description tells the indicators combined to create a new strategy, with commissions and take profit/stop loss conditions included, and the process of strategy execution with a description on how to use it. If you have any questions feel free to PM me and boost if you enjoyed it. Thank you, pineUSERS!
J2S Backtest: Steven Primo`s Big Trend StrategyIs it possible to benefit from big trend moves? In this study I present you a strategy that aims to capture big trend moves.
Created by trader Steven Primo, The Big Trend strategy is advocates and shared through his YouTube channel without restrictions.
Note:
This is not an investment recommendation. The purpose of this study is only to share knowledge with the community on TradingView.
What is the purpose of the strategy?
The strategy focuses on capturing the movement of trends, providing an entry signal for both LONG and SHORT positions.
To which time-frame of a chart is it applicable to?
According to the author, it is applicable to any chart in different markets.
What about risk management?
The author does not establish a risk management model for strategy. This is left to the definition of each trader.
How are the trends identified in this strategy?
A 20-periods Bollinger Bands with 0.382 deviation should be plotted on the chart. Prices above the upper band indicate an uptrend, on the other hand, prices below the lower band indicate an downtrend. Finally, prices between the two bands indicate sideways trend.
How to identify a signal for LONG entry?
The signal is given after five consecutive closes above the upper Bollinger band. After that, you must enter the trade after the first trade occurs above the high of the signal bar.
How to identify a signal for SHORT entry?
The signal is given after five consecutive closes below the lower Bollinger band. After that, you must enter the trade after the first trade occurs below the low of the signal bar.
Tips and tricks
In my backtest, I tried to prove the strategy from a position trading perspective, so I proposed use fixed stop-loss and take-profits. The stop-loss is defined as being low of the first bar that generated the movement until the signal bar. The value range from the stop-loss to the signal bar is used in determining the profit target. Given any trade, position closing will be triggered when the bar trading limit is reached.
Backtest features
Backtest parameters are fully customizable, for instance: number of bars inside a trend indicating trend maturity for entry, bar limit for trading entry (after a buy or sell signals). Also, the user chooses to validate only LONG or SHORT entries, or both. It is also possible to determine the specific time period for running the backtests.
Final message
In my tests, I noticed excellent results for other crypto pairs, for example: ETH/USDT, BNB/USDT, FIL/USDT, GALA/USDT and ILV/USDT. Of course, no one strategy works perfectly for every asset, crypto, and bond out there. That's why we should explore each trading model and carry out our backtests. Please, feel free to provide me with any improvement suggestions for the backtest script. Bear in mind, feel free to use the ideas in my script in your studies.
[KL] Double Bollinger Bands Strategy (for Crypto/FOREX)This strategy uses a setup consisting of two Bollinger Bands based on the 20 period 20-SMA +/-
(a) upper/lower bands of two standard deviations apart, and
(b) upper/lower bands of one standard deviation apart.
We consider price at +/- one standard deviation apart from 20-SMA as the "Neutral Zone".
If price closes above Neutral Zone after a period of consolidation, then it's an opportunity for entry. Strategy will long, anticipating for breakout.
The illustration below shows price closing above the Neutral Zone after a period of consolidation.
a.c-dn.net
Position is exited when prices closes at Neutral Zone (being lower than prior bars)
Forex Scalping 1min Bollinger Bands, RSI and ADX Trading SystemThis is a Forex Scalping Trading Sytem based on the Bollinger Bands.
Its suited for major pairs, with lowest possible comission (below 1 pip) and with timeframes ranging between 1-15 min.
Indicators:
Bollinger bands
ADX
RSI
Rules for entry:
Long Entry: price to move below the upper Bollinger Bands RSI raise above the 30 line and ADX<32 at the same time.
Short Entry: price to move above the upper Bollinger Bands, RSI raise below the 70 line and ADX<32 at the same time.
Rules for exit
Profit Exit: 3 options: 1, exit position when the price touches the middle band, 2) when the price touches the opposite band, X pips target profit.
Loss Exit: X pips loss
Improved Bollinger Swing Strategy Stock NasdaqThis is an improved bollinger band strategy adapted to Nasdaq Index/Stocks.
The new update include a multiple logic calculation BB adapted for long and short, together with a risk management using movement in %.
Rules for entry
For long we have a crossover between the close and the lower band from the bb
For long we have a crossover between the close and the upper band from the bb
Rules for exit
We exit when we either find a reverse condition, or if we hit the take profit/stop loss levels.
If you have any questions, let me know !
[KL] Bollinger bands + RSI StrategyThis strategy is based on two of my previous scripts, one called “RSI14 + 10”; the other one called “Bollinger Bands Consolidation”. At its core, it combines the main setups from each of those two scripts but excludes the auxiliary features that were considered as experimental. This strategy will identify periods of squeeze, and then enter long during consolidation with a trailing stop loss set.
Primary indicator will be the Bollinger Bands. By comparing the width of the BBs with the ATR of the same lookback period (i.e. 2 standard deviations of the 20 recent closing prices vs ATR(20) x2), we begin to look for confirmation for entry whenever the standard deviation of prices is less than the ATR. This can be seen visually in the plots (i.e. default gray lines representing ATRx2 relative to BB center line).
Confirmation for entry will be the RSIs (slow-14, and fast-10). If both are upward sloping, then we assume prices are in an uptrend and may eventually break above upper band. RSIs are typically in mid-range when prices are consolidating, therefore no need to measure it.
Exits will happen in two cases, (1) when trailing stop loss hits, or (2) when RSIs signal that the instrument is overbought. No. 1 is self-explanatory. No. 2 happens, when RSI14 reaches above 70 (can be changed), followed by RSI10 catching up and surpassing RSI14.
Bollinger Bands Trending Reverse StrategyWelcome to yet another script. This script was a lot easier since I was stuck for so long on the Donchian Channels one and learned so much from that one that I could use in this one.
This code should be a lot cleaner compared to the Donchian Channels, but we'll leave that up to the pro's.
This strategy has two entry signals, long = when price hits lower band, while above EMA, previous candle was bearish and current candle is bullish.
Short = when price hits upper band, while below EMA, previous candle was bullish and current candle is bearish.
Take profits are the opposite side's band(lower band for long signals, upper band for short signals). This means our take profit price will change per bar.
Our stop loss doesn't change, it's the difference between entry price and the take profit target divided by the input risk reward.
3Commas Bollinger StrategyThis strategy is intended for use as a way of backtesting various parameters available on 3commas.io composite bot using a bollinger band type trading strategy. While it's primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.open.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas. You can find more information about how to do this from help.3commas.io
The primary inputs for the strategy are:
// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT)
Start Date, Month, Year and End Date, Month and Year all apply to the backtesting window. By default it will use as much data as it can given the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
Known Issues
Currently there are a couple of issues with this strategy that you should be aware of. I may fix them at some point in the future but they don't really bug me so this is more for informational purposes than a promise that they may one day be fixed.
Does not test trailing take profit
Number of safety orders and Safety Order Step Scale are currently not user configurable (must edit source code)
Using the user configuration to generate deal start message assumes you are triggering a composite bot, not a simple bot.
LAGging span leaves Bollinger Bands strategyAbstract
This script points out the positions a lagging span leaves a Bollinger Band.
This script does not plot a lagging span but moves the Bollinger Band forward.
You can find profit opportunities by combining this script and risk management.
Introduction
Bollinger Bands is a popular indicator.
It contains a moving average, an upper band and a lower band.
The moving average can indicate trend, the upper band and the lower band can indicate if the price is far away from the moving average.
However, in trading markets, anything can happen.
Both continuation and reversal are possible when the price touches the moving average, the upper band or the lower band.
Therefore, many traders adjust the parameters of the Bollinder Band or add other indicators to improve their trading strategies.
@Daveatt et. al. provided an idea that uses a lagging span.
A lagging span is a line chart. It displays the reference price but in earlier time.
For example, if the offset of a lagging span is 26 days, the value of the lagging span on 29 days ago is the reference price 3 days ago.
A lagging span is a part of Ichimoku Cloud.
It can compare the price to the earlier price and the values of indicators in the past.
To compare the price to the values of indicators in the past, we can also shift indicators forward instead of adding a lagging span into the chart.
This script uses shift-the-indicators-forward method.
In other words, this script plots the Bollinger Band forward so that the price can be compared to the values of the Bollinger Band in the past.
Computing and Adjusting
(1) Compute Moving Average
(2) Compute Standard Derivation
(3) Upper Band = Moving Average + Standard Derivation * Multi
(4) Lower Band = Moving Average - Standard Derivation * Multi
(5) Shift the Bollinger Band forward according to the offset parameter.
(6) Mark the points the price leaves the shifted Bollinger Band
(7) Compute the most possible loss and profit before the next opposite signal.
Parameters
source : the data for computing the bollinger band. can be open, high, low, close or their combination.
length : how many days are calculated by the bollinger band
mult : the distance from the moving average to the upper band and the distance from the moving average to the upper band is equal to ( mult * standard derivation ) .
x_offset : the offset of the lagging span
Conclusion
This script can find signals for potential breakout or trend continuation.
If you want to use this signal well, you need to know when to cut loss and protect the profit.
Reference
@Daveatt , Bollinger bands/Lagging span cross , BGyrPgOA , Tradingview 2019
How to trade with Bollinger Bands
How to use Ichimoku Cloud
How to trade with a line chart
BB+K strategyApplying Bollinger Bands and K-bar strategies
Suitable for long time periods
Suitable for forex trading, when the forex deviation is too large, the Fed will intervene and thus correct
Strategy: Enter when the price hits the upper or lower BB track and there is a reversal of the strong signal, and exit when it hits the other track and there is a reversal signal.
Bollinger %B Candles StrategyStrategy built based on earlier published indicator:
Looks to be doing good for short term swing trades. But, I am not sure if there is repainting. I tried to avoid buy/sell trades on same day - but wasn't successful.
So far back-tested on following:
COINBASE:BTCUSD - works on both long and short
CURRENCYCOM:GOLD and equities - long only.
Some of the failures: ASX:WPL , ASX:WHC , ASX:NHC
As usual for back-testing - using 1000 as initial capital with 100% invested on each trade and no compounding so that it will be easy to compare with buy and hold. Trade with caution :)
VWAP and BB strategy [EEMANI]This strategy combines VWAP and BB indicators
BUY RULE
1. EMA50 > EMA 200
2. if current close > vwap session value
3. check if price dipped BB lower band for any of last 10 candles
EXIT RULE
1. price closes above BB upper band
STOP LOSS EXIT
1. As configured --- default is set to 5%
warning: for the use of educational purposes only
Volume Weighted Bollinger Bands Strategy
Simple strategy,
Using Volume weighted Bollinger Bands
> Directions for Usage:
1. Use only in scripts where volume is specified by tradingview
2. Check on which timeframe the script has a profit factor greater than 1.4
3. Use that timeframe for profitability
4. In some high liquid securities there is a decent profit factor even at 5 min scale (optimise at your end!! all i want to say)
Enjoy!
Hope this helps!!
Mean Reversion w/ Bollinger BandsThis is a more advanced version of my original mean reversion script.
It employs the famous Bollinger Bands.
This robot will buy when price falls below the lower Bollinger Band, and sell when price moves above the upper Bollinger Band.
I've only tested it on the S&P 500, though you could try it out on other assets to see the backtest performance.
During the recent COVID-19 bear market drop, it produced several buy signals on the S&P which I followed, and made some nice gains so far.
I still think this would make a better investing strategy (buy undervalued / sell over-valued), rather than a trading strategy.
I use this robot for my long term portfolio.
NoScoobies Bollinger BandsBollinger Bands strategy that I am trying out, however I can't get my strategy.close to work. Looking for help.
Bollinger Bands BAT/USDT 30minThis is ready to use Bollinger Band strategy that was backtested on the data from the previous year 2019.
The main purpose of this strategy is to determine trades with the highest probability of success, to keep a consistent portfolio growth throughout the year. This strategy cherry-picks the most reliable points of entry on a particular timeframe (30m) for the particular asset (BAT/USDT). The backtest shows a great result of 78.95% profitability with the maximum drawdown of -4.02%. This is one of my strategies out of the group of automated strategies that helps to grow my portfolio steadily.
You are welcome to change inputs and backtest the following strategy. Any comments or ideas would be appreciated.
If you are happy with existing results and would like to automate the strategy, which can be done through alerts, then you need to convert it to study and add alerts in the code.
Let me know if you are interested in that and I will create a study based on this strategy.
RW Simple Pairs TradeA Simple Implementation of a Pairs Trading Strategy
It uses a simple moving average of specified length (default = 20) and enters at cutoffs set by Entry ZScore. Trades are exited at the moving average.
It is intended to be run on pairs of stocks. To Spread KO and PEP, for example, use the ticker KO / PEP * 1000
To visualise the trade better add Bollinger bands to your charts, corresponding to the SMA length and Entry ZScore criteria you specified.
