Volume ValueWhen VelocityTitle: Volume ValueWhen Velocity Trading Strategy
▶ Introduction:
The " Volume ValueWhen Velocity " trading strategy is designed to generate long position signals based on various technical conditions, including volume thresholds, RSI (Relative Strength Index), and price action relative to the Simple Moving Average (SMA). The strategy aims to identify potential buy opportunities when specific criteria are met, helping traders capitalize on potential bullish movements.
▶ How to use and conditions
★ Important : Only on Spot Binance BINANCE:BTCUSDT
Name: Volume ValueWhen Velocity
Operating mode: Long on Spot BINANCE BINANCE:BTCUSDT
Timeframe: Only one hour
Market: Crypto
currency: Bitcoin only
Signal type: Medium or short term
Entry: All sections in the Technical Indicators and Conditions section must be saved to enter (This is explained below)
Exit: Based on loss limit and profit limit It is removed in the settings section
Backtesting:
⁃ Exchange: BINANCE BINANCE:BTCUSDT
⁃ Pair: BTCUSDT
⁃ Timeframe:1h
⁃ Fee: 0.1%
- Initial Capital: 1,000 USDT
- Position sizing: 500 usdt
-Trading Range: 2022-07-01 11:30 ___ 2023-07-21 14:30
▶ Strategy Settings and Parameters:
1. `strategy(title='Volume ValueWhen Velocity', ...`: Sets the strategy title, initial capital, default quantity type, default quantity value, commission value, and trading currency.
↬ Stop-Loss and Take-Profit Settings:
1. long_stoploss_value and long_stoploss_percentage : Define the stop-loss percentage for long positions.
2. long_takeprofit_value and long_takeprofit_percentage : Define the take-profit percentage for long positions.
↬ ValueWhen Occurrence Parameters:
1. occurrence_ValueWhen_1 and occurrence_ValueWhen_2 : Control the occurrences of value events.
2. `distance_value`: Specifies the minimum distance between occurrences of ValueWhen 1 and ValueWhen 2.
↬ RSI Settings:
1. rsi_over_sold and rsi_length : Define the oversold level and RSI length for RSI calculations.
↬ Volume Thresholds:
1. volume_threshold1 , volume_threshold2 , and volume_threshold3 : Set the volume thresholds for multiple volume conditions.
↬ ATR (Average True Range) Settings:
1. atr_small and atr_big : Specify the periods used to calculate the Average True Range.
▶ Date Range for Back-Testing:
1. start_date, end_date, start_month, end_month, start_year, and end_year : Define the date range for back-testing the strategy.
▶ Technical Indicators and Conditions:
1. rsi: Calculates the Relative Strength Index (RSI) based on the defined RSI length and the closing prices.
2. was_over_sold: Checks if the RSI was oversold in the last 10 bars.
3. getVolume and getVolume2 : Custom functions to retrieve volume data for specific bars.
4. firstCandleColor : Evaluates the color of the first candle based on different timeframes.
5. sma : Calculates the Simple Moving Average (SMA) of the closing price over 13 periods.
6. numCandles : Counts the number of candles since the close price crossed above the SMA.
7. atr1 : Checks if the ATR_small is less than ATR_big for the specified security and timeframe.
8. prevClose, prevCloseBarsAgo, and prevCloseChange : ValueWhen functions to calculate the change in the close price between specific occurrences.
9. atrval: A condition based on the ATR_value3.
▶ Buy Signal Condition:
Condition: A combination of multiple volume conditions.
buy_signal: The final buy signal condition that considers various technical conditions and their interactions.
▶ Long Strategy Execution:
1. The strategy will enter a long position (buy) when the buy_signal condition is met and within the specified date range.
2. A stop-loss and take-profit will be set for the long position to manage risk and potential profits.
▶ Conclusion:
The " Volume ValueWhen Velocity " trading strategy is designed to identify long position opportunities based on a combination of volume conditions, RSI, and price action. The strategy aims to capitalize on potential bullish movements and utilizes a stop-loss and take-profit mechanism to manage risk and optimize potential returns. Traders can use this strategy as a starting point for their own trading systems or further customize it to suit their preferences and risk appetite. It is crucial to thoroughly back-test and validate any trading strategy before deploying it in live markets.
↯ Disclaimer:
Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Pesquisar nos scripts por "bitcoin"
BTFD strategy [3min]Hello
I would like to introduce a very simple strategy to buy lows and sell with minimal profit
This strategy works very well in the markets when there is no clear trend and in other words, the trend going sideways
this strategy works very well for stable financial markets like spx500, nasdaq100 and dow jones 30
two indicators were used to determine the best time to enter the market:
volume + rsi values
volume is usually the number of stocks or contracts traded over a certain period of time. Thus, it is an important indicator of market activity and liquidity. Each transaction constitutes an individual exchange between the buyer and the seller and constitutes the trading volume of a given instrument or asset.
The RSI measures the strength of uptrends versus downtrends. The signal is the entry or exit of the indicator value of the oversold or overbought level of the market. It is assumed that a value below or equal 30 indicates an oversold level of the market, and an RSI value above or equal 70 indicates an overbought level.
the strategy uses a maximum of 5 market entries after each candle that meets the condition
uses 5 target point levels to close the position:
tp1= 0.4%
tp2= 0.6%
tp3= 0.8%
tp4= 1.0%
tp5= 1.2%
after reaching a given profit value, a piece of the position is cut off gradually, where tp5 closes 100% of the remaining position
each time you enter a position, a stop loss of 5.0% is set, which is quite a high value, however, when buying each, sometimes very active downward price movement, you need a lot of space for market decisions in which direction it wants to go
to determine the level of stop loss and target point I used a piece of code by RafaelZioni , here is the script from which a piece of code was taken
this strategy is used for automation, however, I would recommend brokers that have the lowest commission values when opening and closing positions, because the strategy generates very high commission costs
Enjoy and trade safe ;)
[SMA Cross + HHLL] Signal Clean Up Analysis with Backtest (TSO) This is a DEMO indicator with a simple 2 SMAs cross for signals + HHLL for TP/SL. It mainly demonstrates chained (NOTE: You can select several or ALL of the features, this is not limited to either one) signal cleanup and analysis approach with scheduling and alerting capabilities. Works with most popular timeframes: 1M, 5M, 15M, 1H, 4H, D.
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Here are some pre-set examples with nice Backtesting results (try em out!):
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>>> Indexes – SPY (INTRADAY SETUP ): Timeframe: 5M | Trading Schedule: ON, 10:00-15:45 ET, EOD: At Market Close | Trading System: Open Until Closed by TP or SL | MULTIPROFIT: TP (take profit) System: Dynamic | MULTIPROFIT: SL (stop loss) System (This is only for “Dynamic” TP System ONLY!!!): Dynamic | # of TPs: 5 | Skip opposite candle types in signals, which are opposite to direction of candle color (for example: bearish green hammer) | Everything else: Default
>>> Bitcoin – BTCUSD (24/7 SETUP): Timeframe: 1H | Trading Schedule: OFF, End of Day (EOD): OFF | Trading System: Open Until Closed by TP or SL | MULTIPROFIT: TP (take profit) System: Dynamic | MULTIPROFIT: SL (stop loss) System (This is only for “Dynamic” TP System ONLY!!!): Dynamic | # of TPs: 3 | TP(s) Offset: on, TP(s) offset amount: 50 | ATR confirmation | Everything else: Default
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Explanation of all the Features | Configuration Guide | Indicator Settings
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Signal cleanup analysis:
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>>> Customizable Backtesting for a specific date range, results via TradingView strategy, which includes “Deep Backtesting” for largest amounts of data on trading results.
>>> Trading Schedule with customizable trading daily time range, automatic closing/alert trades before Power Hour or right before market closes or leave it open until next day.
>>> 3 Trading Systems.
>>> Static/Dynamic Take-Profit setups (HILIGHT: momentum catch dynamic Take-Profit approach).
>>> Static/Dynamic Stop-Loss setups (HIGHLIGHT: smart trailing Stop-Loss which minimizes risk).
>>> Single or Multiple profit targets (up to 5).
>>> Take-Profit customizable offset feature (set your Take-Profit targets slightly before everyone is expecting it!).
>>> Candle bar signal analysis (skip opposite structured and/or doji candle uncertain signals).
>>> Additional analysis of VWAP/EMA/ATR/EWO (Elliot Wave Oscillator)/Divergence MACD+RSI signal confirmation (clean up your chart with indicator showing only the best potential signals!).
>>> Advanced Alerts setup, which can be potentially setup with a trading bot over TradingView Webhook (NOTE: This will require advanced programming knowledge).
>>> Customize your signal SOURCE and your Take-Profit/Stop-Loss SOURCES as you desire.
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Labels, plots, colors explanations:
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>>>>> Signal SOURCE: SMA crossings (green and red BIG circles) .
>>>>> Take-profit/Stop-loss SOURCE: HHLL (Highest High Lowest Low) .
>>>>> LONG open: green arrow below candle bar.
>>>>> SHORT open: red arrow above candle bar.
>>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles).
>>>>> LONG/SHORT take-profit hits: green/red diamonds.
>>>>> LONG/SHORT stop-loss target: green/red + crosses.
>>>>> LONG/SHORT stop-loss hits: green/red X-crosses.
>>>>> LONG/SHORT EOD close (profitable trade): green/red squares.
>>>>> LONG/SHORT EOD close (loss trade): green/red PLUS(+)-crosses.
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Date Range and Trading Schedule Settings
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>>>>> Date Range: Select your start and/or end dates (uncheck “End” for indicator to show results up to the very moment and to use for LIVE trading) for backtesting results, if not using backtesting – uncheck “Start”/“End” to turn it off.
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>>>>> Use TradingView “Strategy Tester” to see backtesting results
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NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case you will need to manually check “Start”/“End” dates or use “Depp Backtesting” feature!
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>>>>> Trading Schedule: This is where you can setup Intraday Session or any custom session schedule you wish. Turn it ON. Select trading hours. Select EOD (End of Day) setting (NOTE: If it will be OFF, the indicator will assume you are holding your position open until next day!).
>>>>> Trading System: 1) Open Until Closed by TP or SL – once the trade is open, it can only be closed by Take-Profit, Stop-Loss or at EOD (if turned on) ||| 2) OCA – Opposite Trade will Open Closing Current Trade – Same as 1), except that when and if an OPPOSITE signal is received > indicator will close current trade immediately (profit or loss) and open a new one(NOTE: This will only happen with an OPPOSITE direction trade!) ||| 3) Open Until Opposite Signal or EOD (if turned on) – This approach is the simplest one, there are no Take-Profits or Stop-Losses, the trade is open until an OPPOSITE signal is received or until EOD (if turned on).
Take-Profit, Stop-Loss and Multi-Profit Settings
>>>>> MULTIPROFIT | TP (Take-Profit) System: 1) Static – Once the trade is open, all Take-Profit target(s) are immediately calculated and set for the trade > once the target(s) is hit > trade will be partially closed (if candle bar closes beyond several Take-Profit targets > trade will be reduced accordingly to the amount of how many Take-Profit targets were hit) ||| 2) Dynamic – Once the trade is open, only the 1st Take-Profit target is calculated, once the 1st Take-Profit is hit > next Take-Profit distance is calculated based on the distance from trade Entry to where 1st Take-Profit was taken, once 2nd Take-Profit is taken > 3rd Take-Profit is calculated per same logic, these are good for price momentum as with price speeding up – profits increase as well!
NOTE: Below 2 settings, each correspond to only 1 setting of the TP (Take-Profit) System, please pay attention to the above TP system setting before changing SL settings!
>>>>> MULTIPROFIT | SL (Stop-Loss) System : 1) Static – Once the trade is open, Stop-Loss is calculated and set for the remaining of the trade ||| 2) Dynamic – At trade open, Stop-Loss is calculated and set the same way, however once 1st Take-Profit is taken > Stop-Loss is moved to Entry, reducing the risk.
>>>>> MULTIPROFIT | SL (Stop-Loss) System : 1) Static - Once the trade is open, Stop-Loss is calculated and set for the remaining of the trade ||| 2) Dynamic – At trade open, Stop-Loss is calculated and set the same way, however with each Take-Profit taken, Stop-Loss will be moved to previous Take-Profit (TP1 taken > SL:Entry | TP2 taken > SL:TP1 | TP3 taken > SL:TP2 | TP4 taken > SL:TP3 | TP5 taken > trade closed), this is basically a smart Stop-Loss trailing system!
>>>>> # of TPs (number of take profit targets): Just like it is named, this is where you select the number of Take-Profit targets for your trading system (NOTE: If “3) Open Until Opposite Signal or EOD (if turned on)” Trading System is selected, this setting won’t do anything, since there are no TP or SLs for that system).
>>>>> TP(s) offset: This is a special feature for all Take-Profit targets, where you can turn on a customizable offset, so that if the price is almost hitting the Take-Profit target, but never actually touches it > you will capture it. This is good to use with HHLL (Highest High Lowest Low), which is pretty much a Support/Resistance as often the price will nearly touch these strong areas and turn around…
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Dynamic/Static Take-Profit and Stop-Loss visual examples:
1) Fully Dynamic Take-Profit and Stop-Loss setup for BTCUSD
See how Take-Profit distances increase with price momentum and how Stop-Loss is following the trade reducing the risk!
2) Static/Dynamic, Static Take-Profit and Dynamic Stop-Loss setup for SPY (S&P500 ETF TRUST)
You can see a static Take-Profit set at position open, while Stop-Loss is semi-dynamic adjusting to Entry once TP1 target is taken!
3) Fully Static Take-Profit and Stop-Loss setup for SPY (S&P500 ETF TRUST)
This one is a fully static setup for both Take-Profit and Stop-Loss, you can also observe how trade is closed right before the Power Hour (trade can be closed right before Power Hour or right before Market Closes or left overnight as you desire).
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Trade Analysis and Cleanup Settings
>>>>> Candle Analysis | Candle Color signal confirmation: If closed candle bar color does not match the signal direction > no trade will be open.
>>>>> Candle Analysis | Skip opposite candle signals: If closed candle bar color will match the signal direction, but candle structure will be opposite (for example: bearish green hammer, long high stick on top of a small green square) > no trade will be open.
>>>>> Candle Analysis | Skip doji candle signals: If closed candle bar will be the uncertain doji > no trade will be open.
>>>>> Divergence/Oscillator Analysis | EWO (Elliot Wave Oscillator) signal confirmation: LONG will only be open if at signal, EWO is green or will be at bullish slope (you can select which setting you desire), SHORT if EWO is red or will be at bearish slope.
>>>>> Divergence/Oscillator Analysis | VWAP signal confirmation: LONG will only be open if at signal, the price will be above VWAP, SHORT if below.
>>>>> Divergence/Oscillator Analysis | Moving Average signal confirmation: LONG will only be open if at signal, the price will be above selected Moving Average, SHORT if below.
>>>>> Divergence/Oscillator Analysis | ATR signal confirmation: LONG will only be open if at signal, the price will be above ATR, SHORT if below.
>>>>> Divergence/Oscillator Analysis | RSI + MACD signal confirmation: LONG will only be open if at signal, RSI + MACD will be bullish, SHORT if RSI + MACD will be bearish.
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Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot)
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Here is how a LONG OPEN alert looks like (each label is customizable + I can add up more items/labels if needed):
COIN: BTCUSD
TIMEFRAME: 15M
LONG: OPEN
ENTRY: 20000
TP1: 20500
TP2: 21000
TP3: 21500
SL: 19000
Leverage: 0
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Trade Open Signal SOURCE + Take-Profit/Stop-Loss SOURCE
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>>> Customize your signal SOURCE, Take-Profit and Stop-Loss SOURCE as desired (NOTE: These are pre-configured and should be usable on majority of markets, however feel free to play around with these settings as there is nearly an infinite amount of setups out there!
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Adding Alerts in TradngView
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-Right-click anywhere on the TradingView chart
-Click on Add alert
-Condition: Select this indicator by it’s name
-Alert name: Whatever you want
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
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If you have any questions or issues with the indicator, please message me directly via TradingView.
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Good Luck! (NOTE: Trading is very risky, so please trade responsibly!)
Initial Balance Panel Strategy for BitcoinInitial Balance Strategy
Initial Balance Strategy uses a source code of "Initial Balance Monitoring Panel" that build from "Initial Balance Markets Time Zones - Overall Highest and Lowest".
Initial Balance is based on the highest and lowest price action within the first 60 minutes of trading. Reading online this can depict which way the market can trend for the session. More information about Initial Balance Panel you can read at the end of the article.
Strategy idea
The main idea is to catch the trend move when most of the 16 Crypto pairs break the Low or High levels together. I found good results when 15 of 16 pairs is break that levels and after we manage the trade within some trail stop indicator, I choose Volatility Stop for this strategy.
Additional Strategy idea
The second one idea that was not made is to catch the pullback after fully green/red zones in Initial Balance Panel become white. That mean the main trend can be finished and we can try to catch good pullback in opposite direction.
Binance Crypto pairs
The strategy use the 16 default Crypto currencies pairs from the Binance. As additional variations of the strategy can be changing the currencies pairs and their number.
List of default pairs:
BINANCE:BTCUSDT, BINANCE:ETHUSDT, BINANCE:EOSUSDT, BINANCE:LTCUSDT, BINANCE:XRPUSDT, BINANCE:DASHUSDT, BINANCE:IOTAUSDT, BINANCE:NEOUSDT, BINANCE:QTUMUSDT, BINANCE:XMRUSDT, BINANCE:ZECUSDT, BINANCE:ETCUSDT, BINANCE:ADAUSDT, BINANCE:XTZUSDT, BINANCE:LINKUSDT, BINANCE:DOTUSDT
Summary
The strategy works very well for a buy trades with settings 15 crypto pairs of 16 that follow the trend with breaking the long initial balance level.
Initial Balance Monitoring Panel
Allows you to have an instant view of 16 Crypto pairs within a monitoring panel, monitoring Initial Balance (Asia, London, New York Stock Exchanges).
The code can easily be changed to suit the crypto pairs you are trading.
The setup of my chart would also include this indicator and the "Initial Balance Markets Time Zones - Overall Highest and Lowest" (with all IBs enabled) as shown above.
Initial Balance is based on the highest and lowest price action within the first 60 minutes of trading. Reading online this can depict which way the market can trend for the session.
The indicator has been coded for Crypto (so other symbols may not work as expected).
Though Initial Balance is based off the first 60 minutes of the trading markets opening, but Crypto is 24/7, this indicator looks at how Asia, London and New York Stock Exchanges opening trading can affect Crypto price action.
Source: Initial Balance Monitoring Panel
Cyatophilum Bands PresetsThis is a pre-configured strategy for swing trading Bitcoin on the 2 hours chart, Ethereum on the 4 hours, and BNB on the 2 hours. (More presets can be added later on)
Built upon my generic indicator "Cyatophilum Bands D.E.", this indicator removes the struggle of having to copy all the settings, instead, a single dropdown input lets you choose the preset.
More info about the complete strategy here:
The strategy has been backtested over 5 years of historical data and forward tested for +4 months (since january 2023) with the goal to beat buy and hold returns .
The indicator shows real time strategy results and has custom alerts for BUY and SELL signals which can be used to automate the strategy.
When creating your alert, first set your alert messages in the indicator settings. Then, select the indicator and create the alert using "alert() function calls only".
A warning will appear on the chart if the preset and chart configuration is incorrect.
Plots like bands and trailing lines are disabled by default to improve performance but can be turned on in the style tab.
BNBUSDT 2H
A combination of deviation and ATR bands based on Donchian channels.
ETHUSDT 4H
A combination of deviation and ATR bands based on SMA and an ATR trailing stop.
BTCUSDT 2H
Based on Donchian channels breakout type with a tight 2% stop loss, and a 3% take profit that gets disabled when price is trending up to let the trailing stop do its job.
Disclaimer: Backtest results are not representative of future results.
Boftei's StrategyI wrote this strategy about a year ago, but decided to publish it just now. I have not been able to implement this strategy in the market. If you can, then I will be happy for you.
This strategy is based on my "Botvenko Script". (It finds the difference between the logarithms of closing prices from different days.) (Check this script in my profile)
Then the strategy makes trades when the "Botvenko Script" indicator crosses the levels set earlier and manually selected for each currency pair/shares: long/short opening/closing levels, long/short re-entry levels. (They are drawn with horizontal dotted lines.) The names of these lines are: buy/sell level, long/short retry - too low/high, long close up/down, dead - close the short. Manual selection of each of the parameters provides a qualitative entry of the strategy into the deal. However, without restraining mechanisms, the strategy enters into rather controversial deals. In order to avoid going long/short during bear/bull markets, which is unacceptable, I added a fan of EMA lines.
The fan consists of several EMA lines, which are set according to Fibonacci numbers (21, 55, 89, 144). If the lines in the fan are arranged in ascending order (ema_21>ema_55 and ema_55>ema_89 and ema_89>ema_144), then this indicates a bull market, during which I banned shorting. And vice versa: during the bear market (ema_21
Rebalance by StrategyThaiStrategy Rebalance
Rebalancing trade in the context of cryptocurrency refers to adjusting the composition of a cryptocurrency portfolio to maintain a desired allocation of different digital assets. As the market value of various cryptocurrencies changes over time, the proportion of each asset in the portfolio may deviate from the original target allocation. Rebalancing aims to restore the portfolio to its desired balance, ensuring it remains aligned with the investor's risk tolerance and investment goals.
Here are some steps to rebalance a cryptocurrency portfolio:
Assess your portfolio: Review your current cryptocurrency holdings and their respective market values. Determine the current allocation of each asset as a percentage of your total portfolio value.
Set target allocations: Decide on the target allocation for each cryptocurrency in your portfolio based on your investment goals, risk tolerance, and market outlook. This might involve allocating a higher percentage to more established cryptocurrencies like Bitcoin and Ethereum and a smaller percentage to newer or more volatile digital assets.
Calculate rebalancing amounts: Compare your current allocations with your target allocations. Calculate the amount of each cryptocurrency you need to buy or sell to achieve your target allocations.
Execute trades: Buy or sell the necessary amounts of each cryptocurrency to reach your target allocations. Keep in mind that transaction fees and taxes may apply, depending on your jurisdiction and the trading platform you use.
Monitor and adjust: Regularly review your cryptocurrency portfolio and market conditions. Rebalance as needed to maintain your target allocations and adapt to changing market dynamics.
Rebalancing a cryptocurrency portfolio can help manage risk and potentially enhance returns by ensuring that the portfolio remains diversified and aligned with the investor's objectives. However, it is important to consider the costs and tax implications of frequent rebalancing before implementing this strategy.
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Setting input
Start : start date
End : end date
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Rebalance Mode :
Normal = Rebalance Always adjust the balance according to the preset proportions. , e.g. 50% of equity.
Fixed Asset = Fixed Asset value. e.g. always Fixed Asset 50% of capital
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Proportion : Proportion 0.05 = 5% of capital or equity
Min Size Trade value : The minimum that the exchange allows to trade in usdt,usd
Range Price : distance openclose last price (0.01 = 1%)
Use indicator :
Indicator Period : Length
Grospector DCA V.3This is system for DCA with strategy.
This has 5 zone Extreme high , high , normal , low , Extreme low. You can dynamic set min - max percent every zone.
Extreme zone is derivative short and long which It change Extreme zone to Normal zone all position will be closed.
Every Zone is splitted 10 channel. and this strategy calculate contribution.
and now can predict price in future.
Idea : Everything has average in its life. For bitcoin use 4 years for halving. I think it will be interesting price.
Default : I set MA is 365*4 days and average it again with 365 days.
Input :
len: This input represents the length of the moving average.
strongLen: This input represents the length of the moving average used to calculate the strong buy and strong sell zone.
shortMulti: This input represents the multiplier * moveing average used to calculate the short zone.
strongSellMulti: This input represents the multiplier used to calculate the strong sell signal.
sellMulti: This input represents the multiplier * moveing average used to calculate the sell zone.
strongBuyMulti: This input represents the multiplier used to calculate the strong sell signal.
longMulti: This input represents the multiplier * moveing average used to calculate the long zone.
*Diff sellMulti and strongBuyMulti which is normal zone.
useDerivative: This input is a boolean flag that determines whether to use the derivative display zone. If set to true, the derivative display zone will be used, otherwise it will be hidden.
zoneSwitch: This input determines where to display the channel signals. A value of 1 will display the signals in all zones, a value of 2 will display the signals in the chart pane, a value of 3 will display the signals in the data window, and a value of 4 will hide the signals.
price: Defines the price source used for the indicator calculations. The user can select from various options, with the default being the closing price.
labelSwitch: Defines whether to display assistive text on the chart. The user can select a boolean value (true/false), with the default being true.
zoneSwitch: Defines which areas of the chart to display assistive zones. The user can select from four options: 1 = all, 2 = chart only, 3 = data only, 4 = none. The default value is 2.
predictFuturePrice: Defines whether to display predicted future prices on the chart. The user can select a boolean value (true/false), with the default being true.
DCA: Defines the dollar amount to use for dollar-cost averaging (DCA) trades. The user can input an integer value, with a default value of 5.
WaitingDCA: Defines the amount of time to wait before executing a DCA trade. The user can input a float value, with a default value of 0.
Invested: Defines the amount of money invested in the asset. The user can input an integer value, with a default value of 0.
strategySwitch: Defines whether to turn on the trading strategy. The user can select a boolean value (true/false), with the default being true.
seperateDayOfMonth: Defines a specific day of the month on which to execute trades. The user can input an integer value from 1-31, with the default being 28.
useReserve: Defines whether to use a reserve amount for trading. The user can select a boolean value (true/false), with the default being true.
useDerivative: Defines whether to use derivative data for the indicator calculations. The user can select a boolean value (true/false), with the default being true.
useHalving: Defines whether to use halving data for the indicator calculations. The user can select a boolean value (true/false), with the default being true.
extendHalfOfHalving: Defines the amount of time to extend the halving date. The user can input an integer value, with the default being 200.
Every Zone : It calculate percent from top to bottom which every zone will be splited 10 step.
To effectively make the DCA plan, I recommend adopting a comprehensive strategy that takes into consideration your mindset as the best indicator of the optimal approach. By leveraging your mindset, the task can be made more manageable and adaptable to any market
Dollar-cost averaging (DCA) is a suitable investment strategy for sound money and growth assets which It is Bitcoin, as it allows for consistent and disciplined investment over time, minimizing the impact of market volatility and potential risks associated with market timing
MTF Diagonally Layered RSI - 1 minute Bitcoin Bot [wbburgin]This is a NON-REPAINTING multi-timeframe RSI strategy (long-only) that enters a trade only when two higher timeframes are oversold. I wrote it on BTC/USD for 1min, but the logic should work on other assets as well. It is diagonally layered to be profitable for when the asset is in a downtrend.
Diagonal layering refers to entry and exit conditions spread across different timeframes. Normally, indicators can become unprofitable because in downtrends, the overbought zones of the current timeframe are not reached. Rather, the overbought zones of the faster timeframes are reached first, and then a selloff occurs. Diagonally-layered strategies mitigate this by selling diagonally, that is, selling once the faster timeframe reaches overbought and buying once the slower timeframe reaches oversold.
Thus this strategy is diagonally layered down . I may create a separate script that alternates between diagonal-up and diagonal-down based off of overall trend, as in extended trend periods up this indicator may not flash as frequently. This can be visualized in a time series x timeframe chart as an "X" shape. Something to consider...
Let me know if you like this strategy. Feel free to alter the pyramiding entries, initial capital, and entry size, as well as commission regime. My strategies are designed to maximize average profit instead of flashing super frequently, as the fees will eat you up. Additionally, at the time of publication, all of my strategy scripts are intended to have profitable Sharpe and Sortino ratios.
Timeframes, RSI period, and oversold/overbought bounds are configurable.
Rsi strategy for BTC with (Rsi SPX)
I hope this strategy is just an idea and a starting point, I use the correlation of the Sp500 with the Btc, this does not mean that this correlation will exist forever!. I love Trading view and I'm learning to program, I find correlations very interesting and here is a simple strategy.
This is a trading strategy script written in Pine Script language for use in TradingView. Here is a brief overview of the strategy:
The script uses the RSI (Relative Strength Index) technical indicator with a period of 14 on two securities: the S&P 500 (SPX) and the symbol corresponding to the current chart (presumably Bitcoin, based on the variable name "Btc_1h_fixed"). The RSI is plotted on the chart for both securities.
The script then sets up two trading conditions using the RSI values:
A long entry condition: when the RSI for the current symbol crosses above the RSI for the S&P 500, a long trade is opened using the "strategy.entry" function.
A short entry condition: when the RSI for the current symbol crosses below the RSI for the S&P 500, a short trade is opened using the "strategy.entry" function.
The script also includes a take profit input parameter that allows the user to set a percentage profit target for closing the trade. The take profit is set using the "strategy.exit" function.
Overall, the strategy aims to take advantage of divergences in RSI values between the current symbol and the S&P 500 by opening long or short trades accordingly. The take profit parameter allows the user to set a specific profit target for each trade. However, the script does not include any stop loss or risk management features, which should be considered when implementing the strategy in a real trading scenario.
ChitukiProduced according to Bitcoin and Ethereum 1D, 1W, and 1M candle charts.
When you use it for general stock charts or altcoins, make sure to backtest it thoroughly before using it.
*To facilitate backtesting, this have a vertical line that allows you to easily specify the start time.😍
This indicator is simply based on the Engulfing patterns.
I focused on finding inflection points and wrote them based on 1D chart.
▲▼ Small and fat arrows: Displays simple engulfing patterns.
(Displays only those whose lengths differ by at least 1.2 times from each other)
↑↓ Slim and long arrows: Displays actual trading. (Backtesting reflects this.)
Compare the 7 lowest points to find the bullish Engulfing .
Compare the 14 highest points to find the Bearish Engulfing .
Switch the long and short positions to each other.
Long/short position entry at the market price, mid-price, and closing price of Engulfing Candles.
The charts from 2014 to January 2023 were back-tested and the error ranges were calculated and adjusted in detail.
In conclusion, you can think of it as an Engulfing Pattern Finder tailored to the Bitcoin chart.
This is how I did trading before I made this indicator, and I programmed the trading method as an indicator and I think it's pretty reliable but...
Please don't blindly trust ONLY the indicator(s).
///Properties setting Recommend///
Base currency : USD
Oder size : 18% of equity
Pyramiding : 21 (in plenty / Bcuz one deal is divided into three times.)
Commission : according to the exchange's commission
Recalculate : None
Margin : never less than 50%
Kimchi Premium StrategyThis strategy is based on the Korea Premium, also known as the “Kimchi Premium,” which indicates how expensive or cheap the price of Bitcoin in Korean Won on a Bitcoin exchange in South Korea is relative to the price of Bitcoin being traded in USD or Tether. Inverse Kimchi Premium RSI was newly defined to create a strategy with Kimchi Premium. Assuming that the larger the kimchi premium, the greater the individual's purchasing power. In this case, if the Inverse Kimchi Premium RSI falls and closes the candle below the bear level, a short is triggered. Long is the opposite.
This strategy defaults to a combination of the traditional RSI and the Inverse Kimchi Premium RSI. If the user wishes to unlock the Inverse Kimchi Premium RSI combination and only use it as a traditional RSI strategy, the following settings can be used.
Use Combination of Inverse Kimchi Premium RSI: Uncheck
Resolution: Chart (4hr Candle)
Source: Close
Length of RSI: 14
Bull Level: 74
Bear Level: 25
__________________________________________________________________________________
김치프리미엄(김프) 전략은 달러 혹은 테더로 거래되고 있는 비트코인 가격 대비 한국에 있는 비트코인 거래소의 비트코인 원화 가격이 얼마나 비싸고 싼 지를 나타내는 코리아 프리미엄, 일명 "김치 프리미엄" 지표를 기반으로 만들어졌습니다. 김치 프리미엄을 가지고 전략을 만들기위해 Inverse Kimchi Premium RSI를 새롭게 정의하였습니다. 김치 프리미엄이 커질수록 개인의 매수세가 커진다고 가정하고, 이 경우 Inverse Kimchi Premium RSI이 하락하여 Bear Level 아래에서 캔들 마감을 하면 Short을 트리거 합니다. Long은 그 반대입니다.
이 전략은 전통적인 RSI와 Inverse Kimchi Premium RSI을 조합하여 기본값을 설정하였습니다. 유저가 원한다면 Inverse Kimchi Premium RSI의 조합을 해제하고 전통적인 RSI 전략으로만 사용하려면 아래 다음의 설정값을 사용할 수 있습니다.
Use Combination of Inverse Kimchi Premium RSI: 체크 해제
Resolution: Chart (4hr Candle)
Source: Close
Length of RSI: 14
Bull Level: 74
Bear Level: 25
Token Metrics IndicatorThe Token Metrics Combined Indicator v2 is a comprehensive technical analysis tool designed to output Long/Short signals for crypto assets on TradingView. It combines multiple indicators, including Token Metrics Clouds, Token Metrics Trend Lines , Token Metrics Channels, and signals, to give a comprehensive outlook on the market trend and potential entry/exit points.
Users can backtest the signals to understand the strategy's historical performance, learn how to use it, identify its pros and cons, and determine the market conditions it best suits. It is important to note that the backtesting performance does not indicate future results.
The methods for calculating fixed stop-losses vary depending on the trading pattern. A fixed stop-loss is used for long-term trading, while a trading stop-loss is used for high-frequency trading. This provides flexible investment risk management, allowing you to assign different stop-loss percentages to different trading strategies.
The Length input allows users to control the indicator’s sensitivity, with a default value of 20 bars for long-term trading and 9 bars for high-frequency trading. The Adjustment Factor input has a default value of 0.1 and can be adjusted to adapt to changing levels of volatility . The Stop-loss input allows users to control their risk tolerance, with a default value of 8% for long-term trading and 2% for high-frequency trading.
Token Metrics Clouds incorporates a bullish / bearish trend indicator, which uses two adaptive moving averages that adapt to volatility , reducing false trend signals during range-bound environments and providing a more accurate representation of market trends.
The Token Metrics Trendline is a long-term indicator that uses an adaptive moving average to identify long-term trends. This can also be used for long-term resistance and support levels, providing a comprehensive overview of the current market situation for both long-term and high-frequency traders.
The Token Metrics Signals indicator provides long, short, and close signals, indicating when to enter and exit long or short positions based on the TM trend-following strategy.
The Token Metrics Channels indicator is a top/bottom indicator that adjusts to current levels of volatility . This uses adaptive Donchian channels to determine the previous short-term swing high and low, providing insight into where short-term resistance or support might be forming and where breakouts can occur. The look-back periods change according to the strategy time frame, offering a flexible and dynamic approach to market analysis.
Long-term trading is a trend-following strategy best suited for daily and weekly timeframes. This strategy works well in trending markets but may produce false signals in choppy or range-bound markets.
High-frequency trading is a mean-reverting strategy best suited for 15-minute, 30-minute, and 1-hour timeframes. This strategy performs well in choppy or range-bound markets but may not be effective in strong trending markets.
TrendShift Pro v1.1TrendShift uses a unique series of moving average calculations to signal shifts in trend direction that goes above and beyond what is possible with common moving average trading techniques like simple moving average crosses.
What makes TrendShift different :
Unique moving average calculations - The unique calculations allow signals of shifts in trend direction to occur quickly but also avoid the chop and frequent flipflops that are common with standard moving average trading technique.
Trading filtering - A clear method of trade confirmation and additional trade filtering using popular indicators like the Ichimoku Cloud and Parabolic SAR which work synergistically with the unique moving average calculations and add additional layers of caution and refinement to filter out unreliable signals.
Dynamic trailing stoploss – A dynamically adjusted fractal stop which provides a unique and effective method of managing risk while capturing the duration of a trending move.
Strict trading criteria – Unambiguous and clearly signaled entries along with a comprehensive risk management framework and robust back-testing tools which are design to reduce discretion and subjective input as much as possible.
Features :
Clearly signaled shifts in trend direction.
Built in optimization for different trading instruments.
Custom inputs for self-optimization.
Adjustable methods of confirming trend shift signals.
Trading filtering using popular trend indicators.
Key support and resistance level displays.
Customizable display options.
Risk management using customizable adjustable trailing stop loss and position size management tools.
Customizable backtesting tools.
Customizable alert messages.
Settings :
Entry Settings:
Entry Type : for entering trades via signal candle or signal candle confirmation.
Trade type : for long only, short only, or long and short trading.
Trend Optimization : contains optimized settings for Bitcoin , Ether, and Altcoins as well as the ability to customize your own settings.
Trading Filters : allows refining signal strength by using EMAs, Ichimoku Cloud , and Parabolic SAR to filter trades.
Support and Resistance : displays traditional and DM based pivots on various time frames.
Risk Management:
Bars to Form Stoploss : allows for adjustment of bars necessary to dynamically adjust stoploss.
Risk Type : allows for backtesting calculations using % risk to account or leverage.
Display options : allows for displaying trade entry and stop loss levels either near candles or in a table.
Backtesting:
Session : allows filtering by trading session hours.
Day of Week Filter : allows filtering trading by specific day of the week.
Backtesting Time : allows adjustments to backtesting dates.
Alerts : allows for customized alert messages.
Usage :
The indicator is optimized for the 4 hour timeframe. A green bullish or red bearish signal candle indicates there has been a meaningful shift towards the respective trend direction. When a long/short entry signal is given, that means the signal candle has been confirmed and a trade can be entered accordingly.
Once a signal has been generated, a dynamically adjust stoploss will appear and self-adjust every 24-48 hours. Your stoploss should be trailed accordingly.
NOTE: Displayed back-testing results are on Binance:ADAUSDT default settings, from 2018-2023, using 3% risk, and 0.075% commission.
RSI and MA with Trailing Stop Loss and Take Profit (by Coinrule)The relative strength index is a momentum indicator used in technical analysis. It measures the speed and magnitude of a coin's recent price changes to evaluate overvalued or undervalued conditions in the price of that coin. The RSI is displayed as an oscillator (a line graph essentially) on a scale of zero to 100. When the RSI reaches oversold levels, it can provide a signal to go long. When the RSI reaches overbought levels, it can mark a good exit point or alternatively, an entry for a short position. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A moving average (MA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range. Essentially it is used to help smooth out price data by creating a constantly updated average price.
The Strategy enters and closes trades when the following conditions are met:
Entry Conditions:
RSI is greater than 50
MA9 is greater than MA50
RSI increases by 5
Exit Conditions:
Price increases by 1% trailing
Price decreases by 2% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
VWMA/SMA 3Commas BotThis strategy utilizes two pairs of different Moving Averages, two Volume-Weighted Moving Averages (VWMA) and two Simple Moving Averages (SMA).
There is a FAST and SLOW version of each VWMA and SMA.
The concept behind this strategy is that volume is not taken into account when calculating a Simple Moving Average.
Simple Moving Averages are often used to determine the dominant direction of price movement and to help a trader look past any short-term volatility or 'noise' from price movement, and instead determine the OVERALL direction of price movement so that one can trade in that direction (trend-following) or look for opportunities to trade AGAINST that direction (fading).
By comparing the different movements of a Volume-Weighted Moving Average against a Simple Moving Average of the same length, a trader can get a better picture of what price movements are actually significant, helping to reduce false signals that might occur from only using Simple Moving Averages.
The practical applications of this strategy are identifying dominant directional trends. These can be found when the Volume Weighted Moving Average is moving in the same direction as the Simple Moving Average, and ideally, tracking above it.
This would indicate that there is sufficient volume supporting an uptrend or downtrend, and thus gives traders additional confirmation to potentially look for a trade in that direction.
One can initially look for the Fast VWMA to track above the Fast SMA as your initial sign of bullish confirmation (reversed for downtrending markets). Then, when the Fast VWMA crosses over the Slow SMA, one can determine additional trend strength. Finally, when the Slow VWMA crosses over the Slow SMA, one can determine that the trend is truly strong.
Traders can choose to look for trade entries at either of those triggers, depending on risk tolerance and risk appetite.
Furthermore, this strategy can be used to identify divergence or weakness in trending movements. This is very helpful for identifying potential areas to exit one's trade or even look for counter-trend trades (reversals).
These moments occur when the Volume-Weighted Moving Average, either fast or slow, begins to trade in the opposite direction as their Simple Moving Average counterpart.
For instance, if price has been trending upwards for awhile, and the Fast VWMA begins to trade underneath the Fast SMA, this is an indication that volume is beginning to falter. Uptrends need appropriate volume to continue moving with momentum, so when we see volume begin to falter, it can be a potential sign of an upcoming reversal in trend.
Depending on how quickly one wants to enter into a movement, one could look for crosses of the Fast VWMA under/over the Fast SMA, crosses of the Fast VWMA over/under the Slow SMA, or crosses over/under of the Slow VWMA and the Slow SMA.
This concept was originally published here on TradingView by ProfitProgrammers.
Here is a link to his original indicator script:
I have added onto this concept by:
converting the original indicator into a strategy tester for backtesting
adding the ability to conveniently test long or short strategies, or both
adding the ability to calculate dynamic position sizes
adding the ability to calculate dynamic stop losses and take profit levels using the Average True Range
adding the ability to exit trades based on overbought/oversold crosses of the Stochastic RSI
conveniently switch between different thresholds or speeds of the Moving Average crosses to test different strategies on different asset classes
easily hook this strategy up to 3Commas for automation via their DCA bot feature
Full credit to ProfitProgrammers for the original concept and idea.
Any feedback or suggestions are greatly appreciated.
Trend Following based on Trend ConfidenceThis is a Trend Following strategy based on the Trend Confidence indicator.
The goal of this strategy is to be a simple Trend Following strategy, but also to be as precise as possible when it comes to the question 'how confident are we that a linear trend is ongoing?'. For this we calculate the 'confidence' of a linear trend in the past number of closing prices. The idea of this strategy is that past a certain confidence, the ongoing linear trend is more likely to continue than not.
Trend Confidence:
The Trend Confidence shows us how strong of a linear trend the price has made in the past number (given by Length parameter) of closing prices. The steepness of the price change makes the Trend Confidence more extreme (more positive for an uptrend or more negative for a downtrend), and the deviation from a straight line makes the Trend Confidence less extreme (brings the confidence closer to 0). This way we can filter out signals by wild/sudden price moves that don't follow a clear linear trend.
Math behind the Trend Confidence:
A linear fit is made on the past number of closing prices, using Ordinary Linear Regression. We have the steepness of the linear fit: b in y=a+bx . And we have the standard deviation of the distances from the closing prices to the linear fit: sd . The Trend Confidence is the ratio b/sd .
Entries and Exits:
For entry and exit points we look at how extreme the Trend Confidence is. The strategy is based on the assumption that past a certain confidence level, the ongoing linear trend is more likely to continue than not.
So when the Trend Confidence passes above the 'Long entry" threshold, we go Long. After that when the Trend Confidence passes under the 'Long exit' threshold, we exit. The Long entry should be a positive value so that we go Long once a linear uptrend with enough confidence has been detected.
When the Trend Confidence passes below the 'Short entry' threshold, we go Short. After that when the Trend Confidence passes above the 'Short exit' threshold, we exit. The Short entry should be a negative value so that we go Short once a linear downtrend with enough confidence has been detected.
Default Parameters:
The strategy is intended for BTC-USD market, 4 hour timeframe. The strategy also works on ETH-USD with similar parameters.
The Length is arbitrarily set at 30, this means we look at the past 30 closing prices to determine a linear trend. Note that changing the length will change the range of Trend Confidence values encountered.
The default entry and exit thresholds for Longs and Shorts do not mirror each other. This is because the BTC-USD market goes up more heavily and more often than it goes down. So the ideal parameters for Longs and Shorts are not the same.
The positive results of the strategy remain when the parameters are slightly changed (robustness check).
The strategy uses 100% equity per trade, but has a 10% stop loss so that a maximum of 10% is risked per trade.
Commission is set at 0.1% as is the highest commission for most crypto exchanges.
Slippage is set at 5 ticks, source for this is theblock.co.
[Floride] 4LBS Strategy - COPPERHEAD**Hello. Because of my poor English skill, there may be many grammatically incorrect sentences in the description below. Thank you in advance for your understanding. **
Copperhead
This is a strategy created by combining three 4LBS channels, with the goal of catching the most volatile points, the points that are profitable as soon as you enter the position. The goal is to target the minimum number of entries and the vital point without missing it.
Characteristics
Each channel is L1 in 4LBS channels using a period of Fibonacci multiples.
You enter the position only when all three layers break through.
The initial losscut ratio setpoint is 3%.
If you don't get losscut and get on the trend safely, you liquidate your position when L4 breaks down.
advantages
- This strategy is profitable for almost every time frame. However, the longer the candle period you using in the chart, the more you have to increase the losscut ratio.
And if the candle period is shortened, you have to reduce the losscut ratio.
- One of the factors behind the strategy's bottom line is that it only enters at critical points and does not have a large number of entries.
- It was intended to make clear visual effects as simple as possible to understand the current trend.
- Korean Description -
전략 : 카퍼헤드
이것은 4LBS채널 3개를 결합하여 만든 전략으로, 가장 변동성이 극단적이 되는 지점들, 진입하자마자 수익이 나는 지점들을 캐치하는 것을 목표로 만든 전략입니다.
최소의 진입횟수, 그리고 급소를 놓치지 않고 공략하는 것이 목적입니다.
** 특징 **
- 각각의 채널은 피보나치 배수비의 기간을 사용한 4LBS의 L1입니다.
- 모든 3개의 레이어가 돌파될때에만 포지션을 진입합니다.
- 최초의 로스컷 설정점은 3%입니다.
- 로스컷당하지 않고 무사히 추세가 나오면, L4가 돌파될때 익절합니다.
** 장점 **
- 거의 모든 타임프레임에서 수익이 납니다. 그러나 기간이 길어질수록 손절폭을 늘려주어야 합니다. 그리고 캔들 기간이 짧아지면 손절폭도 따라서 조금씩 줄여주어야 합니다.
- 중요한 급소에서만 진입하고 진입횟수가 많지 않은것이 이 전략의 수익의 요인 중 하나입니다.
- 최대한 간명하게 현재추세를 알아볼 수 있도록, 명확한 시각적 효과를 살리려고 의도하였습니다.
** 수익률 **
The default setting of number of operating contracts is set to 10 contract operation. This may be a dramatic example, but This a deep backtesting result of how much the return would be from January 2019 when trading Bitcoin 10 contract.
기본설정은 10계약 운용으로 설정되어 있습니다. 이것은 좀 극적인 예일 수 있겠으나, 비트코인 10계약을 운용시 지난 2019년 1월부터 얼마나 수익률이 나오는지 딥 백테스팅한 것입니다.
지난 4월부터 로스컷 2.5% 설정하고 5개월동안의 운용할 시에 수익은 58561 달러, 1계약 운용시에는 5800여 달러입니다.
Entry Examples(during last 5 month)
지난 5달간의 진입 예시들
ATR Trend Run - Signals Alerts SL and TP by Tech Store OnThe script uses several ATR formulas for entering/exiting trades, support/resistance lines to take TP1 (take profit 1) and another ATR formula for TP2 (take profit 2). Everything is fully configurable to your preference, and you can back-test it via TradingView. You can also configure the indicator for signals during US trading sessions (with or without power hour), as well as taking profits/stop-loss session time(s), as well as to close a position at the end of the trading session no matter what. Also, you can turn all of that off, so there are no trading session/end of day limits and each trade will run until it either hits SL, TP1, TP1 > back to entry, TP2. Note: indicator is set to skip consecutive/opposite signals, while you currently have a trade open > if you hit a trend – ride it to the end!
For example: If you will be day trading SPY and you wish to close your positions no matter what right before the market closes (3:45PM ET > 15min before closes): Make sure to checkbox “Intraday – Close Position Before Market Closes” in the strategy/indicator Settings, so that you are alerted soon before the market closes, if you wish to continue holding the position – leave this checkbox unchecked.
SL: SL is set to be slightly above/below the signal candle, which is best suited for this strategy.
Strategy Take Profit Approach
While the initial position open and SL hit is always based on a closed candle bar (can’t do otherwise, as otherwise you will have 10s of fake signal alerts), there are 2 ways on trading this strategy in terms of TP1 and TP1 taken > back to Entry, which is based off Alert type.
You can switch this as you like within the indicator settings, “Checked: TP1 taken > back to Entry per Price Touch | Unchecked: per Candle Close”.
Candle Close vs Price Touch: with the Default method - Candle Close for an alert for TP1 or if price comes back to Entry after TP1 is taken will only be triggered once candle bar fully closes crossing the area, while Price Touch will alert when price touches the area before candle bar closes.
For example: your trade is running well, you grab TP1 and the price reverses and hits your trade Entry area. With Price Touch – you are immediately alerted to close your trade with no loss and with TP1 profit. With Candle Close - you will receive an alert only once candle bar fully closes on top of the Entry crossing it backwards, meaning it may lower your TP1 profit or even completely reverse the trade into loss in case it will be a huge candle bar for any reason. However, it may touch the Entry area, looking like the price is reversing, but then continue per initial trade direction, sometimes becoming a trend. So, while Price Touch seem like a more conservative approach, Candle Close can give you much bigger profits if you catch a trend, but you can always change it via the Settings.
Note: TradingView back-testing engine does not have a feature to open/close orders IMMEDIATELY via Price Touch trigger, but only when the candle closes after price touches the scripted area/line/etc., so you for the most accurate results, test your strategy out via Candle Close setting. Otherwise, decide yourself. I personally like more Candle Close since I can test it out via back-testing with the most accurate results.
TP2 is set per Candle Close as often the ATR trailing stop line will be hit and bounced off, so it’s best to wait until candle actually breaks it/closes through it.
Note: If you will be observing the strategy LIVE, during LIVE candle bar movement – it will look weird, like it’s placing an order after order during any trigger – this seem like a TradingView bug, but is only observational, once the candle bar is closed and you refresh TradingView it will all look correct.
Back-Testing
If you wish to do some back-testing, just modify the strategy/indicator Settings:
-----1) STRATEGY: This is for back-testing/experimenting with the script inputs.
----------a. You can setup a start date (date, month, year) from which it will start opening back-test trades, select a position size and select TP1 size, the idea here is to close half (or whatever you choose) portion of the trade once you hit your TP1, then to either close at small profit or to catch a trend and close the second portion of the position long way ahead from Entry, otherwise it will alert you to close the position at TP2, if price comes back to Entry, at reversal signal or at the end of US trading session if the option for it is checked. If you wish to close the whole position at TP1, just enter the same amount for TP1 to match backtest position size. Otherwise you can experiment with TP1 sizing – try it out!
-----2) Feel free to experiment with ATR settings and with S&R Left/Right bars, you may be amazed how results will differ and find some really cool combinations!
-----3) Make sure you select/de-select “Intraday – Close Position Before Market Closes” setting depending on what you are back-testing and on which conditions
-----4) Note: If you wish to do some deep back-testing (1+ years), use the “Deep Backtesting” feature within Strategy Tester on the TradingView as otherwise it may show wrong results or even fail to compute the results
Add the alerts
-----Right-click anywhere on the TradingView chart
-----Click on Add alert
-----Condition: ATR Trend Run - Signals Alerts SL and TP, by Tech Store On
----------o Right underneath the condition click on the drop-down menu and select “alert() function calls only”
-----Expiration time: Whatever you wish
-----Alert actions: Whatever notifications you wish
-----Alert name: DO NOT TOUCH THIS
-----Hit “Create”
-----Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
- Note: If you add the alert while the script is currently “In Position” it will not know that. So either wait when there will be no position open at all or close your position partially if the bot opens it twice bigger or so in case per script the bot will think it is already in position.
Note: Because of the slippage and the order processing time between TradingView, AutoView and the Broker (it’s usually about a second or so), it is suggested to not use a timeframe lower than 1min. The script is working really well with 1M/3M/5M/H1/H4 timeframes per my back-testing, but feel free to explore via Strategy Back-testing what’s best for the instrument you wish to trade.
If you wish to try this out for a week or so – please reach out and I will give you access.
Ichimoku Cloud and ADX with Trailing Stop Loss (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
DMI is simple to interpret. When +DI > - DI, it means the price is trending up. On the other hand, when -DI > +DI , the trend is weak or moving on the downside. The ADX does not give an indication about the direction but about the strength of the trend.
Typically values of ADX above 25 mean that the trend is steeply moving up or down, based on the -DI and +D positioning. This script aims to capture swings in the DMI, and thus, in the trend of the asset, using a contrarian approach.
Trading on high values of ADX, the strategy tries to spot extremely oversold and overbought conditions. Values of ADX above 45 may suggest that the trend has overextended and is may be about to reverse.
This strategy combines the Ichimoku Cloud with the ADX indicator to better enter trades.
Long orders are placed when these basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
-DI is greater than +DI
ADX is greater than 45
Close Position:
3% increase trailing
3% decrease trailing
The script is backtested from 1 January 2018 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on MATIC (1d timeframe), ETH (1d timeframe), and SOL (1d timeframe).
Quantitative mean reversion v4The code uses the concept of mean reversion. Mean reversion suggests that price over a period of time reverts back to its statistical mean. In simple terms, it means if a price has drifted apart from the statistical mean, after a certain amount of time, it will revert back to its statistical mean. This drift is measured via z-score. When the z-score value is high, the price is expected to revert. Besides, the higher the time frame you use, the lesser the drift is, so reduce the z-score in the tabs if you use higher time frames, else, vice-versa.
Based on the parameters, the code will provide a trade signal - both long and short, and entry and exit. You can use notifications for alerts. Please use the parameters in the options to find the best combinations for your stocks.
In the properties, you can use your own brokers commission, capital, to see if the strategy is profitable for your ticker in the long run or not. This code has been tested for profits for various assets in both crypto - Bitcoin futures , Ethereum futures -, and stocks - AMD , Apple , MSFT , etc.
This is not get rich quick scheme, and you have to be patient with it for the long run.
If you have any query, please feel free to ask in the comments sections.
If you want some new changes, please feel free to suggest
Currently, I am optimising the maximum time for holding a trade. Till that's completed, use this and please feel free to leave a feedback to make it better
Catching the Bottom (by Coinrule)This script utilises the RSI and EMA indicators to enter and close the trade.
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average (SMA), which applies an equal weight to all observations in the period.
The strategy enters and exits the trade based on the following conditions.
ENTRY
RSI has a decrease of 3.
RSI <40.
EMA100 has crossed above the EMA50.
EXIT
RSI is greater than 65.
EMA9 has crossed above EMA50.
This strategy is back tested from 1 April 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include ETH on the 5m timeframe, BNB on 5m timeframe, XRP on the 45m timeframe, MATIC on the 30m timeframe and MATIC on the 2H timeframe.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
EMA + Williams Fractal Pullback [Trading Nerd]EMA Pullback Strategy with Williams Fractal Indicator
Backtesting script that searches for trends (long and short) and a following pullback into the EMAs. It enters on the first Williams Fractal in the desired direction. I found the Strategy on YouTube as a "M1 Scalping Strategy for Bitcoin".
Including fees the strategy is not profitalbe in lower timeframes (at least if not optimized). But it seems to work on higher timeframes as a swing traiding strategy.
Strategy Conditions
Longs:
EMA 1 > EMA 2 and EMA 2 > EMA 3
Number of need to be above the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bullish Williams Fractal
Signal is canceled if the price closes below the EMA 3
Shorts:
EMA 1 < EMA 2 and EMA 2 < EMA 3
Number of need to be below the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bearish Williams Fractal
Singal is canceled if the price closes above the EMA 3
Take Profit
A Risk Reward Take Profit is possible. If you want to use only a trailing Stop Loss, you can set the Take Profit to 'None'
Stop Loss
The default Stop Loss is EMA. If the Pullback has not reached the EMA 2, the Stop Loss is set to the EMA 2. If the Pullback has reached the EMA 2, the Stop Loss is set to the EMA 3.
Other Stop Loss types are available: ATR, HH/LL
Trailing Stop Loss
Available trailing Stop Loss types: ATR, HH/LL. Best practice is to also set the Stop Loss type to the same value.
The Stop Loss is updated if the value from the latest closed candle is greater/less than the previous value for a long/short trade.
Additional
Time Filter: Only opens trade in the defined Session. Open trades are still being closed outside of the Session.
Start Date/End Date: Limits the backtest for the defined Date Range
Trading Days: Only open Trades on the checked Days
Risk % per Trade: If enabled the Strategy uses X% of the capital (defined in Settings -> Properties -> Initial Capital)
Use Compound Interest: If enabled Capital is recalculated for every trade (initial capital + net Profit)
IMPORTANT: For low Timeframes and Markets with tight SL (like Forex) it requires a lower Margin Percent than default. Go to Settings->Properties and lower the required Long/Short Margin. Otherwise Trades might not be considered because of too less capital/marign. Margins can e.g. set to: 2% (Forex), 10% (Stocks), 20% (Crypto).
