Swing Failure Reversal StrategyThis strategy is using Swing Failure Patterns as a reversion indicator.
The strategy automatically adapts itself to the timeframe of the current chart.
Swing Failure Pattern occurs when the price trend fails to set new highs in uptrend or meet new lows in a downtrend. This pattern helps traders decide when to enter and exit the market. Usually, traders enter in the downtrend i.e. lower price highs and lower price lows, and exit in the uptrend situation i.e. higher price highs and higher price lows. Thus, traders go against the current trend. This helps the traders take advantage of early trend reversal indicators.
Types of Failure Swing :
Failure Swing Top: This occurs when the stock price goes higher whereas the RSI fails to make a higher high and falls below the recent fail point. The Fail Point is where the RSI line is below the recent swing low. This Failure Swing indicates a short position.
Failure Swing Bottom: This occurs when the stock price gets lower whereas RSI fails to make a lower low and rises over the recent fail point. Fail point is the point where the RSI line is above the recent swing high. This Failure Swing indicates a long position.
Analisis Trend
DELAYED FIBOfibo delayed and real value wave design. Burada bandlar arası dalgalanmadan faydalanılmakta.
Strategy Crypto -- double your capitalBTCUSD -- 5 min
BUY POSITION
1 : The price is above the hull suite indicator
2 : The hull suite indicator is green
3 : The volume oscillator indicator is above 0
4 : A new blue candle should appear on the QQE MOD indicator
SELL POSITION
1 : The price is bellow the hull suite indicator
2 : The hull suite indicator is red
3 : The volume oscillator indicator is above 0
4 : A new red candle should appear on the QQE MOD indicator
Short Swing Bearish MACD Cross (By Coinrule)This strategy is oriented towards shorting during downside moves, whilst ensuring the asset is trading in a higher timeframe downtrend, and exiting after further downside.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it.
ENTRY
This script utilises the MACD indicator accompanied by the Exponential Moving Average (EMA) 450 to enter trades. The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 11-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
The EMA 450 is used as additional confirmation to prevent the script from shorting when price is above this long-term moving average. Once price is above the EMA 450 the script will not open any shorts - preventing the rule from attempting to short uptrends. Due to this, this strategy is ideal for setting and forgetting.
The script will enter trades based on two conditions:
1) When the MACD signals a bearish cross. This occurs when the EMA 11 crosses below the EMA 26 within the MACD signalling the start of a potential downtrend.
2) Price has closed below the EMA 450. Price closing below this long-term EMA signals that the asset is in a sustained downtrend. Price breaking above this could indicate a bullish strength in which shorting would not be profitable.
EXIT
This script utilises a set take-profit and stop-loss from the entry of the trade. The take profit is set at 8% and the stop loss of 4%, providing a risk reward ratio of 2. This indicates the script will be profitable if it has a win ratio greater than 33%.
Take-Profit Exit: -8% price decrease from entry price.
OR
Stop-Loss Exit: +4% price increase from entry price.
Based on backtesting results across a selection of assets, the 45-minute and 1-hour timeframes are the best for this strategy.
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.
The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions, however the EMA 450 condition should mitigate entries during bullish market conditions.
RSITrendStrategyI don't know if there is any strategy based on RSI cross over. The strategy is designed based on RSI crossover, considering RSI(5) and RSI(11), with RSI(6) to identify highs & lows.
I used this strategy to trade in Nifty 50 & Nifty bank indices. Whenever there is long mentioned on chart, I go for buying call option with premium near to 300, and placing stoploss of 50 on candle closing basis, vice versa.
Target is open until short is mentioned on the chart. Sometimes, i used standard pivot points as well to mark my targets and also to trail my trades.
[Sextan] PINEv5 Sextans Backtest Framework V3.3Level: 5
Background
In order to celebrate the breakthrough of 4000 followers of my account, I decided to release the Sextan backtesting framework for free use to help more quantitative traders quickly evaluate any technical indicators.
The version released this time is based on the algorithm framework optimization of the old version, and integrates the new feature in Pine V5: Bar Magnifier. This new feature to make Sextan strategy backtesting even more accurate. FYI.
www.tradingview.com
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies,
However, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "fixed and flexiable", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
Pine v4 your indicator template:
Pine v5 your indicator template:
Pine v4 your MTF indicator template:
Pine v5 your MTF indicator template:
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Free to use but closed source.
Nifty-15mins-Trend-followerThis script is developed for Nifty on 15mins timeframe intervals. It is purely developed on CCI, RSI and SR (Support and Resistance)
Don't use this script results for trading purpose. Use this as an study purpose
Cipher B divergencies for Crypto (Finandy support)Hello Traders!
In times of high volatility, it is important to follow a market-neutral strategy to protect your hard-earned assets. The simple script employs common buy/sell and/or divergencies signals from the VuManChu Cipher B indicator with fixed stop losses and takes profits. The signals are filtered by a local trend of a coin of interest and the global trend of Bitcoin. These trends-filtered signals demonstrated better performance on most of the back- and forward- tests for USDT cryptocurrency futures. The strategy is based on my real experience, it's a diamond I want to share with you.
In terms of visualization if the background is red and the price is below the yellow line then only a short position can be opened. Conversely, if the price is above the yellow line AND the background is green only a long position can be opened.
Inputs from VuManChu you can find on the top. Frankly, I do not know how they can help you to improve the performance of the strategy. My inputs of the script you can find in "Trend Settings" and "TP/SL Settings" at the bottom.
The checkbox "Only divergencies" lets to broadcast only more reliable buy/sell signals for a cost of rare deals.
The checkbox "Cancel all positions if price crosses local sma?" makes additional trailing stop loss. Usually, this function increases the win rate by "smoothing" the risk/reward ratio, as a usual stop loss does.
You can tune SL/TP based on backtesting.
To connect the script to Finandy just edit "name" and "secret" to connect your webhook (see the bottom of the script).
The rule of thumb for the strategy is "only divergencies" - ON, high reward/risk (TP/SL) ratio, 5 min timeframe on chart help with performance.
Finally, I am looking forward to feedback from you. If you have some cool features for my script in your mind, do not hesitate to leave them in the comments.
Good luck!
Hashrate BTC Correlation Swing StrategyThis is a swing strategy based entirely on external data , where in this case we use BTC HASHRATE coming from Glassnode
Its made to be used with 1Day Timeframe, and can be used with all the alt coins which are correlated with BTC asset
The strategy is simple
We take the weekly hashrate data , and we make a moving average out of it.
Once we have a cross up with the current weekly hashrate with the ma one, we have a long
Once we have a cross down with the current weekly hashrate with the ma one, we have a short
We exit when we either had 3 bearcandles in a row or a bull candle for long
We exit when we either had 3 bullcandles in a row or a bear candle for short
If you have any questions let me know !
Miyagi (VWAP) + DCA BacktestVWAP has been the main condition for entry for our trading community when using the Wick Hunter bot for quite some time now; however using VWAP alone can lead to poor entries and bags.
Miyagi adds filtering conditions which can then be used to improve entries as opposed to simply using VWAP alone.
Miyagi: The attempt at mastering something for the best results.
Miyagi indicators combine multiple trigger conditions and place them in one toolbox for traders to easily use, produce alerts, backtest, reduce risk and increase profitability.
Miyagi (VWAP) + DCA Backtest allows you to backtest your VWAP settings across each pair.
VWAP + Backtest starts with the user selectable take profit and stoploss, both in percent.
Backtesting can be done in any trend direction: Long, Short, or both.
First we start with the VWAP Settings for entry.
The VWAP Settings are based off the original VWAP Indicator found here:
VWAP Timeframe can be adjusted to chart timeframe, or to another timeframe of choice.
VWAP Period is adjustable and should be set to your current period setting.
VWAP Lower Line (Long) is the Percentage Below VWAP = Long Entry.
VWAP Upper Line (Short) is the Percentage Above VWAP = Short Entry.
Once your VWAP Settings are now configured for your current trading settings, you can move onto the DCA and Backtest Settings.
Select DCA to allow and backtest DCA.
Equity %: allows you to select what percent of Equity you will use.
Leverage: Set the leverage you will trade at, from 1-100X.
DCA Start %: This is the percent that your DCA Starts at, in % away from initial entry.
Entry Order Size %: This is the entry order size, in percent of your account, that is used for entry.
DCA Order Size %: This is the DCA order size, in percent of your account, that is used for the first DCA.
DCA Order Size Scale %: This is the DCA size scaling, in %, that is applied to all DCA's after the first.
DCA % from Avg: This is the % away from Average DCA setting.
Step Size Scale %: This is the step size scale setting in percent, that is placed away from your first DCA.
DCA Buy Count: How many DCAs in total that can be used.
Properties Tab includes generic backtest settings including capital amount, base currency, order size, commission, slippage and margin.
Happy Trading!
Strategy Puma Trending StrategyThis script is a trading strategy, the structure originally made by the youtuber no nonsense forex.
It contains a combination of different indicators that contain different parameters an assets price and volume much reach before a trade is made.
Indicators include one for volume, volatility, baseline, zero cross indicator and a trigger indicator.
Rate Of Change Trend Strategy (ROC)This is very simple trend following or momentum strategy. If the price change over the past number of bars is positive, we buy. If the price change over the past number of bars is negative, we sell. This is surprisingly robust, simple, and effective especially on trendy markets such as cryptos.
Works for many markets such as:
INDEX:BTCUSD
INDEX:ETHUSD
SP:SPX
NASDAQ:NDX
NASDAQ:TSLA
Bjorgum Double Tap█ OVERVIEW
Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns.
█ CONCEPTS
How Is A Pattern Defined?
Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern.
Pattern Recognition
Patterns are recognized through the use of zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described.
█ STRATEGY RESULTS
Back Testing
Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them.
👉 In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication.
Repainting
Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only.
👉 It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick" , and for confirmed signals ensure it is disabled.
█ EXIT ORDERS
Limit and Stop Orders
By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height.
Trailing Stops
Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety.
👉 It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only.
█ ALERTS
Five Built-in 3rd Party Destinations
The following are five options for delivering alerts from Double Tap to live trade execution via third party API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades.
Custom JSON
JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server.
Below is an example of a rendered JSON alert:
{
"passphrase": "1234",
"time": "2022-05-01T17:50:05Z",
"ticker": "ETHUSDTPERP",
"plot": {
"stop_price": 2600.15,
"limit_price": 3100.45
},
"strategy": {
"position_size": 0.1,
"order_action": "buy",
"market_position": "long",
"market_position_size": 0,
"prev_market_position": "flat",
"prev_market_position_size": 0
}
}
Trading Connector
Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from TradingView and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert.
Alertatron
Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts.
3 Commas
3 Commas is an easy and quick to use click-and-go third party crypto API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window.
Discord
Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts.
👉 For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider.
█ IMPORTANT NOTES
Setting Alerts
For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert.
{{strategy.order.alert_message}}
This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu.
Order Sizing and Commissions
The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well.
👉 It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert.
█ FOR PINECODERS
• With the recent introduction of matrices in Pine, the script utilizes a matrix to track pivot points with the bars they occurred on, while tracking if that pivot has been traded against to prevent duplicate detections after a trade is exited.
• Alert messages are populated with placeholders ; capability that previously was only possible in alertcondition() , but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.
• New arguments have been added to strategy.exit() , which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord
ETH Climber Snake [ETHUSDT 60MIN]BEST PERFORMANCE: FTX:ETHUSDT 6H timeframe
The concept of Climber Snake is to detect the uptrend first and then take the advantage of each correction while the price is rising, while it hold during the bearish trend.
I'm using SAR indicator to detect the trend and Smooth HA Candles MTF v1 indicator made by @RafaelZioni to detect the correction waves
Breakout Finder Strategy by The Accumulation ZoneThe Breakout Strategy:
Indicators used:
Least Squared Moving Average by Tradingview
Smoothed Moving Average by Tradingview
MACD Support Resistance by venkatachari_n
About this Strategy:
This strategy is based on spotting a particular activity pattern involving the above listed indicators:
A fast moving average that will track closely with price while still smoothing out some price chop
A slower least squared moving average to help gauge short-term momentum
MACD Support and Resistance to help identify longer-term trends and potentially serve to also guide directional bias
If all entry conditions are met, the strategy enters a position. As well as sending an alert message for the Entry, TP/SL Signals
Long Condition:
Price close above MACD S/R Line
SMMA crossed MACD S/R Line to the upside
LSMA crossed MACD S/R Line to the upside
Short Condition:
Price close below MACD S/R Line
SMMA crossed MACD S/R Line to the downside
LSMA crossed MACD S/R Line to the downside
Strategy Settings
SL based on ATR Bands (0.9 ATR Multiplier recommended*)
TP based on RR (1.5 RR recommended*)
Optional EMA Filter (If set to 0 -> disabled)
Session Filter
Custom Strategy Backtesting Dashboard (Risk = 5%*)
*Recommended for a Daily BTC/USDT Chart
Adaptive, Zero lag Schaff Trend Cycle Backtest (Simple) [Loxx]Simple backtest for "Adaptive, Zero lag Schaff Trend Cycle" found here:
What this backtest includes:
-Customization of inputs for Schaff Trend Cycle calculation
-Take profit 1 (TP1), and Stop-loss (SL), calculated using standard RMA-smoothed true range
-Activation of TP1 after entry candle closes
-Zero-cross entry signal plots
-Longs and shorts
-Continuation longs and shorts
Happy trading!
Top Trend Backtest (Simple) [Loxx]Simple backtest for Top Trend found here:
What this backtest includes:
-Customization of inputs for Top Trend calculation
-Take profit 1 (TP1), and Stop-loss (SL), calculated using standard RMA-smoothed true range
-Activation of TP1 after entry candle closes
-Long and short signal cross entries
Happy trading!
HMA (Hull Moving Averge) Backtest (Simple) [Loxx]Simple backtest for HMA (Hull Moving Average) found here:
What this indicator includes:
- Various average modes to fine-tune the signal
- Shift to offset chart (purely visual, has no bearing on actual calculation or backtest)
What this backtest includes:
-Longs and shorts
-Customization of inputs for HMA calculation
-Take profit 1 (TP1), and Stop-loss (SL), calculated using standard RMA-smoothed true range
-Activation of TP1 after entry candle closes
Happy trading!
McGinley Dynamic Backtest (Simple) [Loxx]Simple backtest for McGinley Dynamic found here:
What this backtest includes:
-Longs and shorts
-Customization of inputs for McGinley Dynamic calculation
-Take profit 1 (TP1), and Stop-loss (SL), calculated using standard RMA-smoothed true range
-Activation of TP1 after entry candle closes
Happy trading!
VIDYA (Variable Index Dynamic Average) Backtest (Simple) [Loxx]Simple backtest for VIDYA (Variable Index Dynamic Average) found here:
What this backtest includes:
-Longs and shorts
-Customization of inputs for VIDYA calculation
-Take profit 1 (TP1), and Stop-loss (SL), calculated using standard RMA-smoothed true range
-Activation of TP1 after entry candle closes
Happy trading!
Bozz Strategy
Booz Backtesting : Booz Backtesting is a method for analyzing the performance of your current trading strategy . Booz Backtesting aims to help you generate results and evaluate risk and return without risking real capital.
The Booz Backtesting is the Booz Super Swing Indicator equivalent but gives you the ability to backtest data on different charts.
This is an Indicator created for the purpose of identifying trends in Multiple Markets, it is based on Moving Average Crossover and extra features.
Swing Trading: This function allows you to navigate the entire trend until it is not strong enough, so you can compare it with fixed parameters such as Take Profit and Stop Loss.
Take Profit and Stop Loss function: With this function you will be able to choose the most optimal parameters and see in real time the results in order to choose the best combination of parameters.
Leverage : We have this function for the futures markets where you can check which is the most appropriate leverage for your operation.
Trend Filter: allows you to take multiple entries in the same direction of the market.
If the market crosses below the 200 moving average, it will take only short entries.
If the market crosses above the 200 moving average, it will take only long entries.
Timeframes
Charting from 1 Hour, 4 Hour, Daily, Weekly, Weekly
Markets :Booz Backtesting can be tested in Cryptocurrency, Stocks and Futures markets.
Background Color : at a glance, you can see what cycle the market is in.
Green background : Shows that the market is in a bullish cycle.
Red background: Shows that the market is in a bearish cycle.
Twitter
Website
VXD Cloud EditionVXD Cloud Edition.
to overcome sideways market conditions this cloud configured for low timeframe.
every TA is same as VXD Supercycle but show as cloud.
Symbols on chart show Premium and Discount Prices
X-Cross = Engulfing Candle with weak volume .
O-circle - Engulfing Candle with strong volume .
Pivot point and Rejected Block
Pivot show last High and low of a price in past bars
Rejected Block show when that High or Low price are important level to determined if it's Hidden Divergence or Divergence (with RSI)
Setting
Momentum: RSI = 25 , RSI MA = 14
Trend: Rolling VWAP and ATR and Subhag (Everthing show as a cloud)
Trailing STOP: ATR 12 x 2.4
Highlight Bars color when volume is above SMA 6
SMA200 act as TP Line
Risk:Reward Calculation
if Buy your Stoploss will be previous Pivot low
if Sell your Stoploss will be previous Pivot high
and TP line will be calculated form there, then show in Orange color line
Buy condition : Close is above Cloud and close above pivot high
Sell condition : Close is below Cloud and close below pivot low
Trip : add this to alerts setting.
Order {{strategy.order.action}} filled on {{ticker}} @ {{strategy.order.price}} {{strategy.order.alert_message}}.