AlphaTrend StrategyThe strategy version of AlphaTrend indicator for backtesting and optimisation purposes for TradingView users:
Screener / Explorer version and an English explantion video will be published soon...
AlphaTrend's parameters are designed for daily and 4H charts, feel free to optimize on all time frames.
Hope you all use Alphatrend in your profitable trades.
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Crypto Terminal [Kioseff Trading]Hello!
Introducing Crypto Terminal (:
The indicator makes use of cryptocurrency data provided by vendor INTOTHEBLOCK.
NOTE: The cryptocurrency on your chart must be paired with USD or USDT. Data won't load otherwise - possibly transient. For instance, BTCUSD or BTCUSDT, ETHUSD or ETHUSDT.
Provided datasets:
Twitter Sentiment Data
Telegram Sentiment Data
Whale Data (i.e. % of Asset Belonging to Whales)
$100,000+ Transactions
Bulls/Bears (Bulls Buying | Bears Selling)
Current Position PnL (Currently Open Positions for the Coin are Retrieved and Plotted. Data is Split into Currently Profitable Positions, Losing Positions, and B/E Positions)
Average Balance
Holders/Traders Percentage (Addresses are Retrieved and Classified as Holding Accounts or Trader Accounts)
Correlation
Futures OI
Perpetual OI
Zero Balance Addresses
Flow (Money Inflow & Outflow)
Active Addresses
Average Transaction Time
Realized PnL (Addresses with Realized Profits, Realized Losses, and B/E)
Cruisers
A few more data points are provided.
Additionally, you can plot the values of any dataset in a pane below price.
Below are images of plottable data; different cryptocurrencies will be shown for each example (:
Twitter sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Telegram sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Percentage of asset belonging to whales.
$100,000+ transactions (volume oriented)
Bulls buying; bears selling.
Current positions at profit; current positions at loss; current positions at breakeven.
Average balance.
Percentage of asset belonging to traders; percentage of asset belonging to holders.
Asset's 30-interval correlation to BTC.
Perpetual open interest.
Zero-balance addresses.
Flows.
Active addresses.
Average transaction time.
Addresses at realized profit; addresses at realized loss; addresses at breakeven.
Cruiser data.
Futures open interest.
Naturally, this data isn't provided for every cryptocurrency; NaN values are returned in some instances.
Table 1
I provided three data tables, which load independently, so you don't have to change plotted data to access values.
Table 2
Lastly, you can create a 10-asset crypto index and run calculations against it.
The image shows an example.
I'll update this script with additional calculations/data in the near future. If you've any suggestions - please let me know!
Enjoy (:
R19 STRATEGYHello again.
Let me introduce you R19 Strategy I wrote for mostly BTC long/short signals
This is an upgrated version of STRATEGY R18 F BTC strategy.
I checked this strategy on different timeframes and different assest and found it very usefull for BTC 1 Hour and 5 minutes chart.
Strategy is basically takes BTC/USDT as a main indicator, so you can apply this strategy to all cryptocurrencies as they mostly acts accordingly with BTC itself (Of course you can change main indicator to different assets if you think that there is a positive corelation with. i.e. for BTC signals you can sellect DXY index for main indicator to act for BTC long/short signals)
Default variables of the inticator is calibrated to BTC/USDT 5 minute chart. I gained above %77 success.
Strategy simply uses, ADX, MACD, SMA, Fibo, RSI combination and opens positions accordingly. Timeframe variable is very important that, strategy decides according the timeframe you've sellected but acts within the timeframe in the chart. For example, if you're on the 5 minutes chart, but you've selected 1 hour for the time frame variable, strategy looks for 1 hour MACD crossover for opening a position, but this happens in 5 minutes candle, It acts quickly and opens the position.
Strategy also uses a trailing stop loss feature. You can determine max stoploss, at which point trailing starts and at which distance trailing follows. The green and red lines will show your stoploss levels according to the position strategy enters (green for long, red for short stop loss levels). When price exceeds to the certaing levels of success, stop loss goes with the profitable price (this means, when strategy opens a position, you can put your stop loss to the green/red line in actual trading)
You can fine tune strategy to all assets.
Please write down your comments if you get more successfull about different time zones and different assets. And please tell me your fine tuning levels of this strategy as well.
See you all.
Squeeze Momentum Strategy [LazyBear] Buy Sell TP SL Alerts-Modified version of Squeeze Momentum Indicator by @LazyBear.
-Converted to version 5,
-Taken inspiration from @KivancOzbilgic for its buy sell calculations,
-Used @Bunghole strategy template with Take Profit, Stop Loss and Enable/Disable Toggles
-Added Custom Date Backtesting Module
------------------------------------------------------------------------------------------------------------------------
All credit goes to above
Problem with original version:
The original Squeeze Momentum Strategy did not have buy sell signals and there was alot of confusion as to when to enter and exit.
There was no proper strategy that would allow backtesting on which further analysis could be carried out.
There are 3 aspects this strategy:
1 ) Strategy Logic (easily toggleable from the dropdown menu from strategy settings)
- LazyBear (I have made this simple by using Kivanc technique of Momentums Moving Average Crossover, BUY when MA cross above signal line, SELL when crossdown signal line)
- Zero Crossover Line (BUY signal when crossover zero line, and SELL crossdown zero line)
2) Long Short TP and SL
- In strategies there is usually only 1 SL and 1 TP, and it is assumed that if a 2% SL giving a good profit %, then it would be best for both long and short. However this is not the case for many. Many markets/pairs, go down with much more speed then they go up with. Hence once we have a profitable backtesting setting, then we should start optimizing Long and Short SL's seperately. Once that is done, we should start optimizing for Long and Short TP's separately, starting with Longs first in both cases.
3) Enable and Disable Toggles of Long and Short Trades
- Many markets dont allow short trades, or are not suitable for short trades. In this case it would be much more feasible to disable "Short" Trading and see results of Long Only as a built in graphic view of backtestor provides a more easy to understand data feed as compared to the performance summary in which you have to review long and short profitability separately.
4) Custom Data Backtesting
- One of most crucial aspects while optimizing for backtesting is to check a strategies performance on uptrends, downtrend and sideways markets seperately as to understand the weak points of strategy.
- Once you enable custom date backtesting, you will see lines on the chart which can be dragged left right based on where you want to start and end the backtesting from and to.
Note:
- Not a financial advise
- Open to feedback, questions, improvements, errors etc.
- More info on how the squeeze momentum works visit LazyBear indicator link:
Happy Trading!
Cheers
M Tahreem Alam @mtahreemalam
VWAP + EMA Analysis [Joshlo]Overview and Use Case
VWAP Analysis gives the possibility to combine multiple time frames of VWAP along with a triplet of exponential moving averages. This can provide insight into potential scalp, swing and longer term trades, depending on your time frame. The use of this indicator with it's setup is based off the the Scalp Setup Alerts provided by Roensch Capital.
The primary use for this script is to help with intraday scalp set ups. Using the Daily VWAP, turned on by default, we can look for price to respect and bounce from one of the VWAP lines (support or resistance) back toward equilibrium, we can also look for price to bounce off of equilibrium and move back toward VWAP support or resistance.
The chart attached shows AMD bouncing off of the Daily time frame VWAP Resistance level multiple times (see yellow boxes), often with confirmation given by an increase in volume which is often far higher than the average volume. In many of these cases a short position could've been opened or put option could have been placed with a profitable outcome.
Every line projected onto the chart via this indicator has the potential to create support or resistance as well as causing 'hang ups', meaning price loses it's momentum, slows down and hangs out in the particular area. This is shown on the chart within the green box.
Chart walkthrough - See attached chart
After a rejection off of the Daily VWAP Resistance line (depicted by the white circle), price starts to move back toward Daily VWAP Equilibrium. In order to reach this line, price needs to move through the 20EMA (white) and 50EMA (purple), the Weekly VWAP Resistance (red circles) and the 200EMA (orange). All of these lines are a part of this single indicator.
The 20EMA seems to offer little resistance but follows the price on it's move, offering some resistance to a volatile move upward. Initially upon contact with the 50EMA, price hangs up and bounces above and below the line whilst finding support on the Weekly VWAP Resistance at the same time. This causes a 'hang up' or sideways movement for around 20 minutes of trading. A potential trade may have entered at the white circle with a VWAP Resistance rejection and exited upon contact with the 50EMA in anticipation of multiple EMAs and support / resistance lines converging which is known to cause price movement to slow.
Eventually with an increase in volume, price breaks below the 20EMA (white), 50EMA (purple) and the Weekly VWAP Resistance level (red circles). Price then finds support on the 200EMA (orange), although there was potential for the price to fall to the Daily VWAP Equilibrium (solid blue). As the Red VWAP lines tend to act more often as resistance as opposed to support (price is rarely above these lines for extended periods), the trade from earlier may have profited more by awaiting contact with the 200EMA before exiting, taking the assumption that the Weekly VWAP Resistance was more likely to act as resistance than support.
A period of consolidation in the green box, around the Weekly VWAP Resistance, 20EMA, 50EMA and with support from the 200EMA eventually resulted in another break out where the price came back up to the Daily VWAP Resistance. Prior to the end of this trading day, there were two more opportunities for scalp setups based off of the price showing consistent rejections off the Daily VWAP Resistance back down to the 50EMA.
In the final example, price breaks above the Daily VWAP Resistance but quickly rejects off of the Monthly VWAP Resistance. For examples where the VWAP Resistance or Support or broken, it can help to look at an indicator such as the RSI to look for bullish divergence or bearish divergence.
Just as this example shows bounces and rejection off of VWAP Resistance, the same applies around the Equilibrium and Support VWAP lines.
The perfect scenario would be to find a ticker where there has already been two or three bounces off of one of these levels, with the goal of taking the trade on the next bounce and either using a percentage price target or technical price target based off of the EMAs or VWAP lines. If there are EMAs close in the direction you want to take the trade, there is a higher chance of hang ups and reversals, so a clear run is the more desired trade set up.
You can also look for these indicator lines to stack up in order to form a stronger support and resistance. For example the 200EMA and Daily VWAP Equilibrium being close to each other may suggest it would take more of an effort to break both of these levels, but one by itself may break more easily.
Indicator Setup
In the settings for the indicator, almost everything you might want to change can be done from the Input tab.
The three options for VWAP (daily, weekly and monthly) allow for analysis on multiple time frames. Daily is turned on as standard.
Standard Deviation Multiplier is set to 2 as standard, this effects the distance of the VWAP support and resistance from the equilibrium line. This seems to be a level that works well with finding support and resistance lines, however if there is excessively high or low volume, occasionally the lines can be thrown off. You can adjust this level if required to find a 'sweet spot' where price likes to reject or find support.
The colors for all VWAPs can be adjusted via the Inputs tab, however if you'd like to change the type of line these are depicted as, this can be done from the Styles tab.
The 3 EMAs (20, 50 and 200) can be toggled on or off and also have their color changed. The style of the lines can be adjusted from with the Styles tab if required.
[Pt] Premarket Breakout StrategyThis is a 1 trade per day strategy for trading SPY or QQQ index. By default, this is designed for 1 min time frame. This was an experimental script that seems to be profitable at the time of publication.
How it works:
Pre-market high and low is defined per trading day between 9:00 to 9:30 EST.
Then we looking for the first breakout on either PM high or PM low.
- Breakout high = long trade
- Breakout low = short trade
If long trade, we wait until Stochastic RSI D signal line to hit a lower threshold (18 by default). Then we enter long when K crosses above D line.
If short trade, we wait until Stochastic RSI D signal line to hit an upper threshold (82 by default). Then we enter short when K crosses below D line.
Stop loss for long
- set to PM low if entry is above PM high + %ATR buffer
- or set to PM range + %ATR buffer
Stop loss for short
- set to PM high if entry is below PM low + %ATR buffer
- or set to PM range + %ATR buffer
Profit target is set to 2x the risk by default.
*Note: Different Stochastic RSI lengths should be used if trading 5 min time frame. See tooltip.
Happy trading~~!
CCI High Performance long onlyThis strategy is based on the classic Commodity Channel Index and only works long.
The system enters the market when this indicator is very low ( CCI <-150 or user-defined threshold) and as soon as it regains strength (i.e. CCI> CCI of the previous candle) with a filter on the "strength" of the prices themselves (i.e. the closing of the candle that provides the signal must be higher than a certain difference - fixed at 0.25% - at the opening of the candle itself).
You exit the market when you either incur a stop loss or when the prices are above the upper band of the CCI.
This system is used to have a high number of profitable operations (well over 50%) with little effort in terms of number of bars, rather than wanting to capture the actual duration of a trend. It is therefore recommended for those who "suffer to see the potential losses".
MM SIGMA STC+ADXThe Schaff Trend Cycle (STC) is a charting indicator that is commonly used to identify market trends and provide buy and sell signals to traders. Developed in 1999 by noted currency trader Doug Schaff, STC is a type of oscillator and is based on the assumption that, regardless of time frame, currency trends accelerate and decelerate in cyclical patterns.12
How STC Works
Many traders are familiar with the moving average convergence/divergence (MACD) charting tool, which is an indicator that is used to forecast price action and is notorious for lagging due to its slow responsive signal line . By contrast, STC’s signal line enables it to detect trends sooner. In fact, it typically identifies up and downtrends long before MACD indicator.
While STC is computed using the same exponential moving averages as MACD, it adds a novel cycle component to improve accuracy and reliability. While MACD is simply computed using a series of moving average, the cycle aspect of STC is based on time (e.g., number of days).
It should also be noted that, although STC was developed primarily for fast currency markets, it may be effectively employed across all markets, just like MACD. It can be applied to intraday charts, such as five minutes or one-hour charts, as well as daily, weekly, or monthly time frames.
Introduction to ADX
ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time. The default setting is 14 bars, although other time periods can be used.1 ADX can be used on any trading vehicle such as stocks, mutual funds, exchange-traded funds and futures.
ADX is plotted as a single line with values ranging from a low of zero to a high of 100. ADX is non-directional; it registers trend strength whether price is trending up or down.2 The indicator is usually plotted in the same window as the two directional movement indicator (DMI) lines, from which ADX is derived (shown below).Quantifying Trend Strength
ADX values help traders identify the strongest and most profitable trends to trade. The values are also important for distinguishing between trending and non-trending conditions. Many traders will use ADX readings above 25 to suggest that the trend is strong enough for trend-trading strategies. Conversely, when ADX is below 25, many will avoid trend-trading strategies.
ADX Value Trend Strength
0-25 Absent or Weak Trend
25-50 Strong Trend
50-75 Very Strong Trend
75-100 Extremely Strong Trend
Low ADX is usually a sign of accumulation or distribution. When ADX is below 25 for more than 30 bars, price enters range conditions, and price patterns are often easier to identify. Price then moves up and down between resistance and support to find selling and buying interest, respectively. From low ADX conditions, price will eventually break out into a trend. Below, the price moves from a low ADX price channel to an uptrend with strong ADX.
Added Buy/Sell alerts
ADX filters based on the threshold you put in the settings.
great for trend and trade confirmation
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
ema strategyEMA STRATEGY Scalping with staggered buy and profit Booking
try and like if you get profitable
Short Selling EMA Cross (By Coinrule)BINANCE:AVAXUSDT
This short selling script works best in periods of downtrends and general bearish market conditions, with the ultimate goal to sell as the the price decreases further and buy back before a rebound.
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 to hodl this cash, or use it to reinvest when the market reaches attractive buying levels.
Entry
The exponential moving average ( EMA ) 20 and EMA 50 have been used for the variables determining the entry to the short. EMAs can operate better than simple moving averages due to the additional weighting placed on the most recent data points, whereas simple moving averages weight all the data the same. This means that price is tracked more closely and the most recent volatile moves can be captured and exploited more efficiently using EMAs.
Our backtesting data revealed that the most profitable timeframe was the 30-minute timeframe, this also enabled a good frequency of trades and high profitability.
A fast (shorter term) exponential moving average , in this strategy the EMA 20, crossing under a slow (longer term) moving average, in this example the EMA 50, signals the price of an asset has started to trend to the downside, as the most recent data signals price is declining compared to earlier data. The entry acts on this principle and executes when the EMA 20 crosses under the EMA 50.
Enter Short: EMA 20 crosses under EMA 50.
Exit
This script utilises a take profit and stop loss for the exit. The take profit is set at -8% and the stop loss is set at +16% from the entry price. This would normally be a poor trade due to the risk:reward equalling 0.5. However, when looking at the backtesting data, the high profitability of the strategy (93.33%) leads to increased confidence and showcases the high probability of success according to historical data.
The take profit (-8%) and the stop loss (+16%) of the strategy are widely placed to ensure the move is captured without being stopped out due to relief rallies. The stop loss also plays a role of mitigating losses and minimising risk of being stuck in a short position once there has been a fundamental trend reversal and the market has become bullish .
Exit Short: -8% price decrease from entry price.
OR
Exit Short: +16% price increase from entry price.
Tip: Research what coins have consistent and large token unlocks / highly inflationary tokenomics, and target these during bear markets to short as they will most likely have substantial selling pressure that outweighs demand - leading to declining prices.
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.
Steven Primo's bollinger bands strategyHi, this strategy is taken from a video made by Steven Primo. You can look it up on YouTube if you want to know about it.
It is a mean-reversion strategy based on the Bollinger Bands, in which we wait for 5 consecutive closes above the upper band, and for a short-term top. Once it happens, we place an entry order on this top, with a stop at the nearest bottom before the movement started, and use the difference from the stop and entry point to determine the target. For shorting, it's the same process, but for the downside. From my testing, only long orders were profitable, but you can configure whichever you want.
It works well for directional markets with a low level of noise, as you can see with the BTCUSD chart. One of its caveats is the short number of occurrences, and the long stop loss and target. You can enable a trailing stop, but from my testings, it just made the results worse.
I made some modifications, like removing the MA requirement, since the entry point was above it almost all the time, and I forced the BB to use a log version of the prices, so that discrepancies are eliminated. You'll also notice that you can't select an extension that is lower than 100, and that is intentional, since you're not supposed to enter a trade in which you can lose more than what you can earn.
I chose not to implement any kind of risk management, but I might do that in the future. You can leave your suggestions in the comments.
PhinkTrade Risk Manager EssentialsHello there, fellow traders!
So, happy to bring you a new, free tool: my Risk Manager Essentials .
(To use it, click on "Add to favorite indicators" below, and then look for it in your charts’ "Indicators & Strategies" dialog window, inside "Favorites" tab.)
The main objective of this indicator is to help and incentivize as many traders as possible to adopt essential risk management practices .
First and foremost, it helps you define how much you can buy or sell, at your chosen price levels, in order to keep your risk always under control (in other words: in order to limit the amount you can potentially lose with a trade if your stop loss order is hit).
This is fundamental if you want to have a lasting and successful trading career: protect your capital, always . Because without it, you know: it’s game over.
Indicator also helps you visualize where minimum ideal target / take profit level is , given your risk, using the popular 3:1 Return/Risk ratio (R/R) .
3:1 R/R ratio is popular because with it you only need to “be right” (have price reach your targets) about 33% of the time, in order to be profitable : in other words, the fewer successful trades will pay you more than the sum of your unsuccessful ones will take from you.
So, make sure your strategy has a success rate greater than 33% and apply 3:1 R/R to your trades . This indicator will help you that, and with developing the necessary discipline . For example, by knowing where the ideal target should be, given your choices, you can assess the likelihood of it being reached in current price context. If that would look like a hard to happen scenario, it would probably be a good idea to avoid taking that particular trade.
Now, let’s see how it works:
When you deploy the indicator to the chart for the first time, you’ll be asked to define:
Your 1st entry price (interactively: you can define and adjust levels directly on the chart, thanks to the new Interactive Mode introduced by TradingView (ty, TV team!))
Your stop loss price (likewise)
Your 1st target price (likewise)
Your starting capital (via initial Input dialog)
Your risk (likewise)
Your risk is how much of your starting capital you are willing to lose if your stop loss is hit (define it as a % of your starting capital).
There’s a good practice here too: to risk only 1 percent of your capital per trade . This way, you can reinforce the odds of making more money than you lose and keep your peace of mind in all trades – and avoid messing up with your plans – and statistics – along the way.
Successful trading is a statistics-based endeavor. So, you want to implement and maintain consistency. Again, this indicator helps with that.
After initial setup:
You can also define additional entries and targets (up to 3 each) . Just open indicator’s Settings window and adjust accordingly.
If you have more than one entry – or target, the amounts involved will be split evenly between them. You can also enable the display of the Average Entry and Average Target labels , to see the equivalent, should you have taken (or take) a single order for each.
You can also define (via Settings, then interactively) a particular date and time for the trade . This way, labels will be presented near that moment, instead of constantly show near the latest bar.
Finally, you can personalize some other display settings: levels precision (number of decimal places), labels positions , and labels colors .
In conclusion:
You are very welcome to check it out – and adopt it on your daily use!
Please let me know your feedbacks as well. If you find any issues, or have any suggestions, I’ll be glad to hear. You can contact me here, via TradingView, or Telegram.
Finally, check the updates section below , as new stuff may show from time to time.
Thank you very much for your attention, and enjoy!
PhinkTrade
Sideways Strategy DMI + Bollinger Bands (by Coinrule)Markets don’t always trade in a clear direction. At a closer look, most of the time, they move sideways. Relying on trend-following strategies all the time can thus lead to repeated false signals in such conditions.
However, before you can safely trade sideways, you have to identify the most suitable market conditions.
The main features of such strategies are:
Short-term trades, with quick entries and quick exits
Slightly contrarian and mean-reversionary
Require some indicator that tells you it’s a sideways market
This Sideways DMI + Bollinger Bands strategy incorporates such features to bring you a profitable alternative when the regular trend-following systems stop working.
ENTRY
1. The trading system requires confirmation for a sideways market from the Directional Movement Index (DMI) before you can start opening any trades. For this purpose, the strategy uses the absolute difference between positive and negative DMI, which must be lower than 20.
2. To pick the right moment to buy, the strategy looks at the Bollinger Bands (BB). It enters the trade when the price crosses over the lower BB.
EXIT
The strategy then exits when the move has been exhausted. Generally, in sideways markets, the price should revert lower. The position is closed when the price crosses back down below the upper BB.
The best time frame for this strategy based on our backtest is the 1-hr. Shorter timeframes can also work well on certain coins that are more volatile and trade sideways more often. However, as expected, these exhibit larger volatility in their returns. In general, this approach suits medium timeframes. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
EHMA Range StrategyThis script is a modified version of @borserman's script for the Exponential Hull Moving Average
All credit for the EHMA goes to him :)
In addition to the EHMA, this script works with a range around the EHMA (which can be modified), in an attempt to be robust against fake signals. Many times a bar will close below a moving average, only to reverse again the next bar, which eats away at your profits. Especially on shorter timeframes, but also on choppy longer timeframes this can make a strategy unattractive to use.
With the range around the EHMA, the strategy only enters a long/exit-short position if a bar crosses above the upper range. Vice versa, it only enters a short/exit-long position if a bar crosses below the lower range. This avoids positions if bars behave choppy within the EHMA range & only enters a position if the market is confident in it's direction. Having said that, fakeouts are still possible, but a lot less frequent. Having backtested this strategy vs the regular EHMA strategy (and having experimented with various settings), this version seems to be a lot more robust & profitable!
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
SMOOTHED RSI SWITCHThis more complex take on the traditional RSI provides clearer entry and exit points and looks beyond just overbought/oversold levels, altogether creating a more robust trading strategy.
The RSI is smoothed by the Hull MA with adjustable periods.
Although a variety of strategies can be developed using this indicator. I intended its most profitable use be as follows:
Entries are to be taken when the oscillator flips from red to clear and/or directly from red to green. Sell/short positions are to be take when the oscillator flips from green to clear and/or directly from green to red.
Pivot Moving Average steteggythis Pivot Moving Average steteggy works best on a chart --->>Above 100$ crypto
Sniper is very profitable in terms of% good trades
It will perform very well on 1-5X Leverage (Solid leverage, not variable depending on the volume )
TP: 0.9 %
SL : 5.5 %
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE
This is a long only strategy for spot assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging).
FEATURES
Grids: This algorithm has a total of 10 grids.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit.
Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade.
Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid.
Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions.
Optimal market conditions: The favorable market for this algorithm is the sideways market.
LIMITATIONS OF THE MODEL
The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.).
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
Trending Bollinger Bands by SiddWolfBollinger Bands are mostly used for trend reversal. I believe they should be used for Trend Continuation and Trend Confirmation.
In this Trending Bollinger Bands script you will see two bands drawn on chart. The Upper band is suggestive of Uptrend and Lower Band is suggestive of Downtrend Market. It just provides the guidance of where the market is now and where it is headed. It is not to be used as a standalone indicator. Use this to confirm your hypothesis of Uptrend or Downtrend.
Bollinger Bands Trend
When the price crosses the moving average it is interpreted as the price is gonna continue in that direction. But most of the time it is a fake breakout. With this script you get an additional confirmation so that you know it is not a fake breakout and the price have caught the trend.
Bollinger Bands Reversal:
This indicator can also work for reversal. For example when price closes outside the outer bands, it is most likely that the trend is gonna reverse. Don't just enter the trade wait for some other confirmation as reversal trading is more complicated.
Confluence:
Confluence is the key factor for profitable trading. Don't use this indicator as standalone indicator instead combine it with other indicators and price action. Like the divergence occurring when the price is outside the bands is suggestive of trend reversal. I have created a non-delay, non-repaint indicator for finding divergence. I'd soon publish that script. Stay tuned.
Settings is the Key:
Try to play around with the settings. It is a simple yet effective indicator. Change the moving average type or length. I've found moving average RMA or WMA works better than SMA. Find the best setting that works with your setup. Set the Band Source as High/Low to make the outer bands more extreme.
Conclusion:
This is my first script but it isn't my last. I've created quite a few gems that I'm gonna publish soon. If you have any questions or suggestions feel free to comment below. I'd love to connect with you. Thank you.
TICK Scalping strategy, SPY 1 min1 min chart scalping version of my other TICK strategy with adjusted parameters and additional entry and exit conditions better suited for 1 min SPY chart. Please refer to my original TICK strategy for explanation.
Important notes:
1. This strategy is designed for same day SPY option scalping on the 1 min chart . All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 6 weeks of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000. Pyramiding is set to 3.
2. This strategy works better with non-extended market data .
3. This strategy is mainly developed for SPY trading on 1 min chart, it probably will not be very profitable with other tickers or time frame without tweaking all the parameters first.
Cheers and enjoy~! Let's all make money~!!
Super OrderBlock / FVG / BoS Tools by makuchaku & eFeThis super indicator is a Swiss army knife for Smart Money traders for OrderBlocks / FVG / BoS
It provides many options for drawing (non-repainting) boxes for OrderBlocks, Fair Value Gaps (FVG) and Break of Structures. The boxes are extended into the future, until the first retest/mitigation.
Some of the additional options (not explained in the diagrams above)
PPDD OB : An order block which is formed after interacting with Liquidity (old low/high, fractal low/high, etc). Since these OB's are in the most premium or most discount, they are Premium Premium Discount Discount OB's (PPDD OB)
HVB Bars : When the volume of any bar is higher than the average volume of last N bars, it could mean something important (in the right context). Hence, the indicator allows for coloring them differently.
This indicator was built as a collaboration between @makuchaku & eFe
Pro tip : This indicator is a simply a tool to visualize trading concepts on the candle stick chart. It is the job of the trader to sequence these effectively into a profitable trade.
If you come across any bug or have a question on how to effectively use the indicator, please don't hesitate to ask questions.
Good luck & good trading!
SAR + 3SMMA with SL & TPThis script is a combination of SAR strategy and 3 Smoothed Moving Averages.
Strategy:
Takes SAR longs when all 3 SMMAs are rising. Take SAR short when all 3 SMMAs are falling.
Supports StopLoss and TakeProfit.
If you have found a profitable setup for it, please share in the comments or private chat.
TICK strategy for SPY optionsImportant notes:
1. This strategy is designed for same day SPY option scalping. All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 6 months of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000. Pyramiding is set to 3.
2. This strategy works better with non-extended market data.
3. This strategy is mainly developed for SPY trading on 5 min chart, it probably will not be very profitable with other tickers or time frame without tweaking all the parameters first.
4. This strategy will work with QQQ as well, but please adjust the profit multiplier to match the P/L of QQQ options.
How it works:
When trading the indices, many rely on the TICK for market directions. This strategy is a trend following strategy that uses a combination of conditions using the following indicators:
- TICK
- RSI
- VIX volatility index
- EMA
For entries, the conditions are:
1. TICK moving average crossover with a delayed signal line
2. Bullish or bearish RSI signal, RSI > 50 for bullish, < 50 for bearish
3. VIX must be above a certain threshold to take advantage of high market volatility
4. Price must be on top of EMA line for long, and below for short
For exits, there are 3 scenarios:
1. Stop loss set by a percentage of the daily ATR value
2. Trend changes on the TICK and the RSI
3. Bearish or bullish divergence on price with TICK
This strategy automatically signal to close all trades at 3:50 pm EST at the end of the day.
Extras:
- There is an option to show P/L for reinvesting profits
Enjoy~!!! Let's all make $$$
