Ultimate Strategy TemplateHello Traders
As most of you know, I'm a member of the PineCoders community and I sometimes take freelance pine coding jobs for TradingView users.
Off the top of my head, users often want to:
- convert an indicator into a strategy, so as to get the backtesting statistics from TradingView
- add alerts to their indicator/strategy
- develop a generic strategy template which can be plugged into (almost) any indicator
My gift for the community today is my Ultimate Strategy Template
Step 1: Create your connector
Adapt your indicator with only 2 lines of code and then connect it to this strategy template.
For doing so:
1) Find in your indicator where are the conditions printing the long/buy and short/sell signals.
2) Create an additional plot as below
I'm giving an example with a Two moving averages cross.
Please replicate the same methodology for your indicator wether it's a MACD, ZigZag, Pivots, higher-highs, lower-lows or whatever indicator with clear buy and sell conditions
//@version=4
study(title='Moving Average Cross', shorttitle='Moving Average Cross', overlay=true, precision=6, max_labels_count=500, max_lines_count=500)
type_ma1 = input(title="MA1 type", defval="SMA", options= )
length_ma1 = input(10, title = " MA1 length", type=input.integer)
type_ma2 = input(title="MA2 type", defval="SMA", options= )
length_ma2 = input(100, title = " MA2 length", type=input.integer)
// MA
f_ma(smoothing, src, length) =>
iff(smoothing == "RMA", rma(src, length),
iff(smoothing == "SMA", sma(src, length),
iff(smoothing == "EMA", ema(src, length), src)))
MA1 = f_ma(type_ma1, close, length_ma1)
MA2 = f_ma(type_ma2, close, length_ma2)
// buy and sell conditions
buy = crossover(MA1, MA2)
sell = crossunder(MA1, MA2)
plot(MA1, color=color_ma1, title="Plot MA1", linewidth=3)
plot(MA2, color=color_ma2, title="Plot MA2", linewidth=3)
plotshape(buy, title='LONG SIGNAL', style=shape.circle, location=location.belowbar, color=color_ma1, size=size.normal)
plotshape(sell, title='SHORT SIGNAL', style=shape.circle, location=location.abovebar, color=color_ma2, size=size.normal)
/////////////////////////// SIGNAL FOR STRATEGY /////////////////////////
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title="🔌Connector🔌", transp=100)
Basically, I identified my buy, sell conditions in the code and added this at the bottom of my indicator code
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title="🔌Connector🔌", transp=100)
Important Notes
🔥 The Strategy Template expects the value to be exactly 1 for the bullish signal , and -1 for the bearish signal
Now you can connect your indicator to the Strategy Template using the method below or that one
Step 2: Connect the connector
1) Add your updated indicator to a TradingView chart
2) Add the Strategy Template as well to the SAME chart
3) Open the Strategy Template settings and in the Data Source field select your 🔌Connector🔌 (which comes from your indicator)
From then, you should start seeing the signals and plenty of other stuff on your chart
🔥 Note that whenever you'll update your indicator values, the strategy statistics and visual on your chart will update in real-time
Settings
- Color Candles : Color the candles based on the trade state (bullish, bearish, neutral)
- Close positions at market at the end of each session : useful for everything but cryptocurrencies
- Session time ranges : Take the signals from a starting time to an ending time
- Close Direction : Choose to close only the longs, shorts, or both
- Date Filter : Take the signals from a starting date to an ending date
- Set the maximum losing streak length with an input
- Set the maximum winning streak length with an input
- Set the maximum consecutive days with a loss
- Set the maximum drawdown (in % of strategy equity)
- Set the maximum intraday loss in percentage
- Limit the number of trades per day
- Limit the number of trades per week
- Stop-loss: None or Percentage or Trailing Stop Percentage or ATR
- Take-Profit: None or Percentage or ATR
- Risk-Reward based on ATR multiple for the Stop-Loss and Take-Profit
This script is open-source so feel free to use it, and optimize it as you want
Alerts
Maybe you didn't know it but alerts are available on strategy scripts.
I added them in this template - that's cool because:
- if you don't know how to code, now you can connect your indicator and get alerts
- you have now a cool template showing you how to create alerts for strategy scripts
Source: www.tradingview.com
I hope you'll like it, use it, optimize it and most importantly....make some optimizations to your indicators thanks to this Strategy template
Special Thanks
Special thanks to @JosKodify as I borrowed a few risk management snippets from his website: kodify.net
Additional features
I thought of plenty of extra filters that I'll add later on this week on this strategy template
Best
Dave
Cerca negli script per "take profit"
[fareid] Quick Backtest Framework█ OVERVIEW
This Framework allows Pine Coders to quickly code Study() based signal/strategy and validate its viability before proceed to code with more advance/complex customized rules for entry, exit, trailstop, risk management etc..
This is somewhat an upgraded version of my earlier personal template with different strategy used, cleaner code
and additional features.
█ USE CASES
- You have an idea for trade signal and need a quick way to verify its potential before writing lengthy/complicated code
- You found a study script for trading signal in public library and want to validate it profitability with minimum effort before including it in your trading playbook
█ FEATURES
- Alert: Ready to use alert function based on signals from your custom indicator.
- Visual Backtest: Auto-plot entry, stop-loss and take profit for simple strategy performance analysis
- Backtest Statistic: Provide basic key metrics based on backtest strategy
- BTE External Signal Protocol: Ready to use code that will supply required state to PineCoders Backtesting & Trading Engine if you wish to have more advance and sophisticated backtesting engine
Notes: All of the above features have On/Off toggle
█ Description & How To Use
This Framework consist of 5 Modules but you only need to edit the first 2 Modules:
Module1: Indicator
Module2: Framework Input Protocol
Module3: Alert
Module4: Backtest
Module5: Backtest & Trading Engine
Tips: The source-code includes collapsible block by module for easy navigating
Module1: Indicator:
-----------------------------------------------------------------------------------
Main Module. Place custom indicator input parameter/calculation/indicator plotting here
Sample Strategy: Double MACD Crossover
MACD Signal: 1st MACD Cross above signal line indicate Buy Signal
1st MACD Cross below signal line indicate Sell Signal
MACD Filter: 2nd MACD is above 0 line indicate Uptrend
2nd MACD is below 0 line indicate Downtrend
Module2: Framework Input Protocol:
-----------------------------------------------------------------------------------
Use this module to connect main indicator/signal calculated in Module1 to the rest of the framework's module
4 variables needed to be defined here:
1. Uptrend
2. Dntrend
3. BuySignal
4. SellSignal
i'm not sure how to place a code snippet here to show you example so in the source code i already put a comment in Module2 on which part u need to edit. I hope its pretty simple to use.
Module3: Alert Module Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the alert module is ready to use without any further modification.
Input:
Enable Alert --> Enable TV's alert and plot signal to chart
Alert Type --> Set to take Buy only, Sell only or Both alert
Module4: Backtest Module Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the backtest module is ready to use without any further modification.
Input:
Backtest Stat --> Enable Backtest Statistic Label
Backtest Visual --> Enable Backtest visual simulation
Backtest Type --> Set to take Buy only or Sell only or both
SL Type -->
ATR : Set SL in ATR times Multiplier below entry price
Fixed : Set SL in fixed point below entry point (in 'Dollar'). e.g. for Stocks -> 0.5 equals to 50cent while for EURUSD currency -> 0.005 equal to 50 pips
HiLo Bar: Set SL at highest/lowest wick of previous bar plus/minus Fixed point. e.g. EURUSD HiLo=3 and Fixed Point = 0.0005, buy trade will place SL 5 Pips below lowest of previous 3 bar
SL ATR Multi --> Set Lookback Period used for SL's ATR calculation
SL ATR Multi --> Set ATR Multiplier for SL
SL Fixed --> Set Fixed Level for SL
SL Bar --> Set Number of previous bar to check for SL placement
TP RR Ratio --> Set TP based on RR multiplier. e.g. 2 means TP level will be twice further from entry point compared to Entry-SL distance.
Notes: The point is for preliminary testing, so it only supports 1 trade at a time and no Trailing Stop
Module5: Backtest & Trading Engine Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the Pinecoders BTE module is ready to use without any further modification.
Input:
External Signal Protocol --> Set ESP State to send to "Backtesting & Trading Engine "
Signal With Filter --> Use this to send entry signal that already filtered by this study indicator (without stoploss level)
Signal Without Filter --> Use this to send raw entry signal that are NOT YET FILTERED by this study indicator (without stoploss level)
Signal and Stop With Filter --> Use this to send entry signal WITH StopLoss that already filtered by this study indicator (with stoploss level)
Signal and Stop Without Filter --> Use this to send raw entry signal WITH StopLoss that are NOT YET FILTERED by this study indicator (with stoploss level)
Notes: Backtesting & Trading Engine already have built-in Filter, Entries and Stop Level. e.g. Unselect all their filter state if only want to use custom filter and make sure send Signal with Filter (with or without SL level)
█ DISCLAIMER:
This framework main objective is to create my personal indicator template so that i just have to modify the indicator module for preliminary testing in future.
The sample strategy included are for educational purpose only. Use at your own risk
credit: LucF/PineCoders for a lot of his scripts that i use as a guide to complete this
Pyramiding Entries On Early Trends (by Coinrule)Pyramiding the entries in a trading strategy may be risky but at the same time very profitable with a proper risk management approach. This strategy seeks to spot early signs of uptrends and increase the position's size while the right conditions persist.
Each trade comes with its stop-loss and take-profit to enforce a proportional risk/reward profile.
The strategy uses a mix of Moving Average based setups to define the buy-signal.
The Moving Average (200) is above the Moving Average (100), which prevents from buying when the uptrend is already in its late stages
The Moving Average (9) is above the Moving Average (100), indicating that the coin is not in a downtrend.
The price crossing above the Moving Average (9) confirms the potential upside used to fire the buy order.
Each entry comes with a stop-loss and a take-profit in a ratio of 1-to-1. After over 400 backtests, we opted for a 3% TP and 3% SL, which provides the best results.
The strategy is optimized on a 1-hour time frame.
The Advantages of this strategy are:
It offers the possibility of adjusting the size of the position proportionally to the confidence in the possibilities that an uptrend will eventually form.
Low drawdowns. On average, the percentage of trades in profit is above 60%, and the stop-loss equal to the take-profit reduces the overall risk.
This strategy returned good returns both with trading pairs with Fiat/stable coins and with BTC. Considering the mixed trends that cryptocurrencies experienced during 2020 vs BTC, this strengthens the strategy's reliability.
The strategy assumes each order to trade 20% of the available capital and pyramids the entries up to 7 times.
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.
888 BOT #alerts█ 888 BOT #alerts (open source)
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security ()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3.
There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish , Red: Bearish .
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish , Red: Bearish .
3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI .
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish .
6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z )
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' wich is calculated according with: '%EQUITY ON EACH ENTRY'. Only works with Stop Loss on 'NORMAL' or 'BOTH' mode.
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ ALERTS
There is an alert for each leverage, therefore a maximum of 8 alerts can be set for 'long' and 8 for 'short', plus an alert to close the trade with Take Profit or Stop Loss in market mode. You can also place Take Profit limit and Stop Loss limit orders a few seconds after filling the position entry order.
- 'MAXIMUM LEVERAGE': It is the maximum allowed multiplier of the % quantity entered on each entry for 1X according to the volume condition.
- 'ADVANCE ALERTS': There is always a time delay from when the alert is triggered until it reaches the exchange and can be between 1-15 seconds. With this parameter, you can advance the alert by the necessary seconds to activate it earlier. In this way it can be synchronized with the exchange so that the execution time of the entry order to the position coincides with the opening of the bar.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Short In Downtrend Below MA100 (Coinrule)This is a simple strategy to take advantage of downtrends. It's useful to run such a strategy as a hedge in times of market uncertainty.
The Sell Condition - Entry
The sell signal triggers when:
the coin has MA (100) greater than the price in a timeframe of 15 minutes, meaning that the coin is in a short-term downtrend.
the coin has an RSI greater than 30 in a timeframe of 15 minutes, indicating that it didn't reach oversold conditions yet, so there is still room for a further price drop.
On Coinrule, you can launch the strategy on real market conditions, setting up multiple sequential sell orders. The strategy would keep selling while the price stays below the MA(100). In that case, it's advisable to set low amounts for the sell orders. the position will grow gradually while the downtrend intensifies. Set a minimum time interval between the sell orders will also help to have control over the overall position size.
The Buy Condition - Exit
The bot connects to each trade a stop loss and a take profit. The percentages are optimized for short term trades on mid-cap coins. You can adjust the percentages depending on the specific coin you are trading. A ratio of 1:1.5 between the stop loss and the take profit could work as the strategy trades in the same direction of the trend.
Stop loss at 3% from the entry price
Take profit at 2% from the entry price
A slightly larger stop loss allows tolerating more volatility to reduce the case of stops triggering when it shouldn't.
Automated - Fibs with Limit only ordersAutomated - Fibs with Limit only orders
This script was designed to demonstrate how you can use a single alert to move your limit orders around.
It is not meant to be traded live and has been built to work with Binance Futures Testnet.
You will notice a lot of plots with 5 different titles.
New = Place your limit buy at a fixed-price.
Move = Cancel the current limit buy and place it at the new fixed-price.
Filled = Cancel any limit closes and places them anew based on the new average and take profit.
Cancel = Cancels exisiting limit buys.
Cloes All = Limit close filled, no commands necessary.
The default quantity in the command is the minimum order size on Binance.
Settings
Live
- If enabled it will only place trades after the "Stat Timestamp + Start Delay" that you provide.
Start Timestamp
- Use something similar to epochconverter to get the current timestamp.
Start Delay
- Gives you 1 minute by default to start the script and create your alert before it begins looking for a new entry.
Leverage
- Default 1. Affects the "Take Profit and DCA When" Settings.
Take Profit %
- This is the percentage above the current average you'd like to place your position close at.
DCA When %
- The percentage below your last entry that you're willing to buy again.
Note: This strategy has no stop-loss and pyramiding is enabled. It is not built for, or recommended to run live.
I hope this opens some doors and helps advance your personal trading system.
Good luck and happy scripting!
Ampleforth Rebase MACDThis script reveals Ampleforth rebase levels which are going to always work. In addition to that is MACD crossovers serving as potential buy/sell entries. You can set alerts for MACD crossovers and price entering balanced value area (0.96 - 1.06).
MACD signals can be used to automatically open a position and entering a balanced value area can be used as take-profit. Since the price will always move to this level, using this strategy without leverage should be profitable.
Ampleforth seems like a nice asset to trade since it is unlikely to correlate with anything else. At least not when it gets to the extreme levels.
MACD+ Strategy [SystemAlpha]This is a strategy based on MACD Oscillator . Instead of using just the normal crossovers, we use trend filters, trailing stop loss and take profit targets. This strategy was developed for crypto, forex and stocks on daily timeframe but feel free to experiment on 15 minutes or higher using heikin ashi or normal candles
In this strategy you have a choice of:
Trend Filters:
- Average Directional Index ( ADX ) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX , MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR ( SAR ) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Regular and Hidden Divergence display and alerts
STRATEGY ONLY:
- Set back test date range
- Set trade direction - Long, Short or Both
- Use timed exit - Select method and bars
- Method 1: Exit after specified number of bars.
- Method 2: Exit after specified number of bars, ONLY if position is currently profitable.
- Method 3: Exit after specified number of bars, ONLY if position is currently losing.
TradingView Links:
Alerts:
MACD:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
Grid Like StrategyIt is possible to use progressive position sizing in order to recover from past losses, a well-known position sizing system being the "martingale", which consists of doubling your position size after a loss, this allows you to recover any previous losses in a losing streak + winning an extra. This system has seen a lot of attention from the trading community (mostly from beginners), and many strategies have been designed around the martingale, one of them being "grid trading strategies".
While such strategies often shows promising results on paper, they are often subjects to many frictions during live trading that makes them totally unusable and dangerous to the trader. The motivations behind posting such a strategy isn't to glorify such systems, but rather to present the problems behind them, many users come to me with their ideas and glorious ways to make money, sometimes they present strategies using the martingale, and it is important to present the flaws of this methodology rather than blindly saying "you shouldn't use it".
Strategy Settings
Point determines the "grid" size and should be adjusted accordingly to the scale of the symbol you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, as such higher values will generate fewer trades.
The order size determines the number of contracts/shares to purchase.
The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing.
Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after any wins.
The Grid
Grid strategies are commons and do not present huge problems until we use certain position sizing methods such as the martingale. A martingale is extremely sensitive to any kind of friction (frictional costs, slippage...etc), the grid strategy aims to provide a stable and simple environment where a martingale might possibly behave well.
The goal of a simple grid strategy is to go long once the price crossover a certain level, a take profit is set at the level above the current one and stop loss is placed at the level below the current one, in a winning scenario the price reach the take profit, the position is closed and a new one is opened with the same setup. In a losing scenario, the price reaches the stop loss level, the position is closed and a short one is opened, the take profit is set at the level below the current one, and a stop loss is set at the level above the current one. Note that all levels are equally spaced.
It follows from this strategy that wins and losses should be constant over time, as such our balance would evolve in a linear fashion. This is a great setup for a martingale, as we are theoretically assured to recover all the looses in a losing streak.
Martingale - Exponential Decays - Risk/Reward
By using a martingale we double our position size (exposure) each time we lose a trade, if we look at our balance when using a martingale we see significant drawdowns, with our balance peaking down significantly. The martingale sequence is subject to exponential growth, as such using a martingale makes our balance exposed to exponential decays, that's really bad, we could basically lose all the initially invested capital in a short amount of time, it follows from this that the theoretical success of a martingale is determined by what is the maximum losing streak you can endure
Now consider how a martingale affects our risk-reward ratio, assuming unity position sizing our martingale sequence can be described by 2^(x-1) , using this formula we would get the amount of shares/contracts we need to purchase at the x trade of a losing streak, we would need to purchase 256 contracts in order to recover from a losing streak of size 9, this is enormous when you take into account that your wins are way smaller, the risk-reward ratio is totally unfair.
Of course, some users might think that a losing streak of size 9 is pretty unlikely, if the probability of winning and losing are both equal to 0.5, then the probability of 9 consecutive losses is equal to 0.5^9 , there are approximately 0.2% of chance of having such large losing streak, note however that under a ranging market such case scenario could happen, but we will see later that the length of a losing streak is not the only problem.
Other Problems
Having a capital large enough to tank 9any number of consecutive losses is not the only thing one should focus on, as we have to take into account market prices and trading dynamics, that's where the ugly part start.
Our first problem is frictional costs, one example being the spread, but this is a common problem for any strategy, however here a martingale is extra sensitive to it, if the strategy does not account for it then we will still double our positions costs but we might not recover all the losses of a losing streak, instead we would be recovering only a proportion of it, under such scenario you would be certain to lose over time.
Another problem are gaps, market price might open under a stop-loss without triggering it, and this is a big no-no.
Equity of the strategy on AMD, in a desired scenario the equity at the second arrow should have been at a higher position than the equity at the first arrow.
In order for the strategy to be more effective, we would need to trade a market that does not close, such as the cryptocurrency market. Finally, we might be affected by slippage, altho only extreme values might drastically affect our balance.
The Anti Martingale
The strategy lets you use an anti-martingale, which double the position size after a win instead of a loss, the goal here is not to recover from a losing strike but instead to profit from a potential winning streak.
Here we are exposing your balance to exponential gross but you might also lose a trade at the end a winning streak, you will generally want to reinitialize your position size after a few wins instead of waiting for the end of a streak.
Alternative
You can use other-kind of progressions for position sizing, such as a linear one, increasing your position size by a constant number each time you lose. More gentle progressions will recover a proportion of your losses in a losing streak.
You can also simulate the effect of a martingale without doubling your position size by doubling your target profit, if for example you have a 10$ profit-target/stop-loss and lose a trade, you can use a 20$ profit target to recover from the lost trade + gain a profit of 10$. While this approach does not introduce exponential decay in your balance, you are betting on the market reaching your take profits, considering the fact that you are doubling their size you are expecting market volatility to increase drastically over time, as such this approach would not be extremely effective for high losing streak.
Conclusion
You will see a lot of auto-trading strategies that are based on a grid approach, they might even use a martingale. While the backtests will look appealing, you should think twice before using such kind of strategy, remember that frictional costs will be a huge challenge for the strategy, and that it assumes that the trader has an important initial capital. We have also seen that the risk/reward ratio is theoretically the worst you can have on a strategy, having a low reward and a high risk. This does not mean that progressive position sizing is bad, but it should not be pushed to the extreme.
It is nice to note that the martingale is originally a betting system designed for casino games, which unlike trading are not subject to frictional costs, but even casino players don't use it, so why would you?
Thx for reading
inwCoin Martingale Strategy ( for Bitcoin )** Same as my previous martingale script but this version = opensource **
inwCoin Martingale Strategy is the proof of concept strategy that in the end, anyone who using martingale strategy will kaboom their portfolio.
For those who don't know what is "martingale".. it's a simple double down strategy in the hope to cover the loss in previous entry.
Example
In the game that if you win, you'll get 100% of your bet money back.
1st loss = 1$
2nd loss = bet 2$ : if win, get 2$ / real profit = 1$ ( 2-1 )
3rd loss = bet 4$ : if win, get 4$ / real profit = 1$ ( 4 - ( 2+1) )
4th loss = bet 8$ : if win, get 8$ / real profit = 1$ ( 8 - ( 4+2+1 ) )
...
...
10th loss = bet 512$ : if win, get 512$ / real profit = 1$ ( 512 - ( 256+128+64+32+16+8+4+2+1) )
as you can see, the next bet will be first bet x 2^(n-1)
and the profit will equal to your first bet.
==================
In trading and forex EA ( Expert Advisor or bot ) people use this strategy to fool newbies that their martingale system will generate steady income for eternity.
But in reality, this strategy will destroy your whole portfolio eventually some time in the future. Because there will be some "Blackswan event" in market at some point in time. And one who ignore this fact, will lose everything.
But, if you using low risk strategy and generate some profit from your low-risk portfolio. You can take small chunk of that profit and put it in riskier strategy like this martingale, to accerelate your profit snowball.
===================
Parameter Explaination
====================
Price = datasource for indicator calculation
Fixed position size option = if uncheck, the "Start position size" parameter will be % of your initial capital. If checked, it will fixed position size ( like 1 BTC )
Start Position Logic = condition to enter first trade
- MACD singal > 0 : Self explanatory, default macd value
- Stochastic RSI cross up : enter when sto line cross up from bottom ( 20 )
- ATR channel : enter trade if price cross above 2.3 ATR
Take Profit Percent = take profit target % from average entry
Start martingale ..= if price compare to average position entry less than this %, it will start to double down ( martingale )
Martingale Multiplier = you can specific how big you'll double down, default is 2
Trade Direction = long only for now
Use date rang = self explanatory
** make sure to setup your initial capital in properties tab **
On chart
=======
White Line = Average position price
Orange Line = your current equity
If equity less than 0, it will close any remaining positions ( It's mean your position got liquidated )
If price > equity line for "take profit percent" it will close any remaining positions.
=======
As you can see, this strategy survive 2018 drop and pump profit to 1000+% ( Check in the strategy tester tab > list of trades )
But in May 2020 -50% drop in just 3 days, your whole portfolio got liquidated.
Actually, after some digging in profit and backtest result.
This strategy, when it can survive a shape drop, can generate a lot of profit.
So, if you want to use martingale. Make sure to use only small chunk of your profit from "low-risk" strategy to accelerate your profit generation ( aka degen port )
DO NOT greedy and use all of your initial capital or borrowed money to use with this strategy!
BEST Trailing Stop StrategyHello traders
Here we go again.... with the second strategy snippet.
Reminder: the first snipper was a Trailing Profit strategy script
What's on the menu?
A trailing stop is designed to protect gains by enabling a trade to remain open and continue to profit as long as the price is moving in the investor's favor.
The order closes the trade if the price changes direction by a specified percentage or dollar amount.
Trigger me I'm famous
I developed many trading strategies in my career and often I've been asked to trigger a trailing-stop once a certain % move has been made.
On the screenshot below, the SL trigger is plotted in maroon.
Once the price goes past that level for the first time, I'll start trailing the trailing stop level.
In other words, when we see a price makes an interesting move in percentage value - we decide to trail the stop for at least not losing any more
All the BEST
Dave
TradingView Alerts to MT4 MT5 + dynamic variables NON-REPAINTINGAccidentally, I’m sharing open-source profitable Forex strategy. Accidentally, because this was aimed to be purely educational material. A few days ago TradingView released a very powerful feature of dynamic values from PineScript now being allowed to be passed in Alerts. And thanks to TradingConnector, they could be instantly executed in MT4 or MT5 platform of any broker in the world. So yeah - TradingConnector works with indices and commodities, too.
The logic of this EURUSD 6h strategy is very simple - it is based on Stochastic crossovers with stop-loss set under most recent pivot point. Setting stop-loss with surgical precision is possible exactly thanks to allowance of dynamic values in alerts. TradingConnector has been also upgraded to take advantage of these dynamic values and it now enables executing trades with pre-calculated stop-loss, take-profit, as well as stop and limit orders.
Another fresh feature of TradingConnector, is closing positions only partly - provided that the broker allows it, of course. A position needs to have trade_id specified at entry, referred to in further alerts with partial closing. Detailed spec of alerts syntax and functionalities can be found at TradingConnector website. How to include dynamic variables in alert messages can be seen at the very end of the script in alertcondition() calls.
The strategy also takes commission into consideration.
Slippage is intentionally left at 0. Due to shorter than 1 second delivery time of TradingConnector, slippage is practically non-existing. This can be achieved especially if you’re using VPS server, hosted in the same datacenter as your brokers’ servers. I am using such setup, it is doable. Small slippage and spread is already included in commission value.
This strategy is NON-REPAINTING and uses NO TRAILING-STOP or any other feature known to be faulty in TradingView backtester. Does it make this strategy bulletproof and 100% success-guaranteed? Hell no! Remember the no.1 rule of backtesting - no matter how profitable and good looking a script is, it only tells about the past. There is zero guarantee the same strategy will get similar results in the future.
To turn this script into study so that alerts can be produced, do 2 things:
1. comment “strategy” line at the beginning and uncomment “study” line
2. comment lines 54-59 and uncomment lines 62-65.
Then add script to the chart and configure alerts.
This script was build for educational purposes only.
Certainly this is not financial advice. Anybody using this script or any of its parts in any way, must be aware of high risks connected with trading.
Thanks @LucF and @a.tesla2018 for helping me with code fixes :)
Trade Manager (Open Source Version)Hello my young padawans looking for the FORCE to get richer on your next trade
I got pinged at least three times today asking where the hell is the indicator of the day. You asked, I delivered :)
Here's your free open-source Trade Manager Version. My associates might kill me for sharing that one... anyway this is a real GIFT.
I won't share such quality indicators too often for FREE so hope you'll appreciate its value. It can really help with your day to day trading (on top of making your charts looking more awesome)
This is an even better version compared to my previous Trade Manager Trade-Manager . It's basically a standalone version, meaning you'll have to update with 2 lines your own indicator and follow my educational post from yesterday (pasted it below also) to learn how to do it
Please read this educational post I published for you before proceeding further : How-to-connect-your-indicator-with-the-Trade-Manager
From here you normally connected the data source of your own indicator to the Trade Manager. If not, here's a reminder of the article mentionned above
Step 1 - Update your indicator
For the screenshot you see above, I used this indicator : Two-MM-Cross-MACD/ . "But sir are you really advertising your other indicators here ??" ... hmmm.... YES but I gave them for free so ... stop complaining my friend :)
Somewhere in the code you'll have a LONG and a SHORT condition. If not, please go back to study trading for noobs (I'm kidding !!!)
So it should look to something similar
nUP = ma_crossover and macd_crossover
nDN = ma_crossunder and macd_crossunder
What you will need to add at the very end of your script is a Signal plot that will be captured by the Trade Manager. This will give us :
// Signal plot to be used as external
// if crossover, sends 1, otherwise sends -1
Signal = (nUP) ? 1 : (nDN) ? -1 : na
plot(Signal, title="Signal")
The Trade Manager engines expects to receive 1 for a bullishg signal and -1 for bearish .
Step 2 - Add the Trade Manager to your chart and select the right Data Source
I feel the questions coming so I prefer to anticipate :) When you add the Trade Manager to your chart, nothing will be displayed. THIS IS NORMAL because you'll have to select the Data Source to be "Signal"
Remember our Signal variable from the Two MM Cross from before, now we'll capture it and.....drumb rolll...... that's from that moment that your life became even more AWESOME
The Engine will capture the last signal from the MM cross or any indicator actually and will update the Stop Loss, Take Profit levels based on the parameters you set on the Trade Manager
It should work with any indicator as long as you're providing a plot Signal with values 1 and -1 . In any case, you can change the Trade Manager you'll find a better logic for your trading
Now let's cover the different parameters of the tool
It should be straightforward but better to explain everything here
+Label lines : if unchecked, no SL/TPs/... will be displayed
+Show Stop Loss Signal : Will display the stop loss label. You have the choice between three options :
By default, the Stop Loss is set to NONE. You'll have to select a different option to enable the Stop Loss for real
++Percentage : Will set the SL at a percent distance from the price
++Fixed : SL fixed at a static price
++Trailing % : Trailing stop loss based on percentage level
The following is a KEY feature and I got asked for it many times those past two days. I got annoyed of getting the same request so I just did it
++Trailing TP: Will move the Stop Loss if the take profit levels are hit
Example: if TP1 is hit, SL will be moved to breakeven. If TP2 is hit, SL will be moved from TP1 to TP2
+Take Profit 1,2,3 : Visually define the three Take Profit levels. Those are percentage levels .
Meaning if you set TP1 = 2, it will set the TP1 level 2% away from the entry signal
Please note that once a Take profit level is reached, it will magically disappear. This is to be expected
I'll share in the future a way more complete version with invalidation, stop loss/take profits based on indicator, take profit based on supports/resistances, ...
I believe is such a great tool because can be connected to any indicator. I confess that I tried it only with a few... if you find any that's not working with the Trade manager, please let me know and I'll have a look
PS
I want to give a HUUUUUUUGE shoutout to the PineCoders community who helped me finishing it
Wishing you all the best and a pleasant experience with my work
David
Peak Valley Estimation StrategyIntroduction
Its the first strategy that i post here, so don't expect ground breaking stuff, when testing my indicators i always used prorealtime and not tradingview. This strategy use signals generated by the peak/valley estimator indicator i posted long ago, i think the signals generated where sometimes quite accurate in some markets thus providing potential material for a profitable strategy.
The indicator use 3 parameters, therefore the optimisation process is not easy, but i selected what i judged good parameters values at first glance. The strategy is in its more simple form without stop or anything, the detection of peaks and valley can allow for tighter stops since we expect the price to reverse, but take into account that sops and take profits are parameters subject to optimization process except if selected with strict money management rules and not profit optimization.
Of course trading the strategy in this form is far from being great, if we take into account the market non stationarity then we might expect loss during trending markets. Trend strength indicators could help switch from a reversal to breakout strategy thus maybe providing more control.
I really hope you find an use for the strategy.
Notes
Its been three long years since i started tradingview, and i put more efforts in my indicators than in my studies and life overall, this have created complicated situations and i can't afford to follow up with this, therefore i announce that in the end of june i will leave tradingview for quite a long time, at least until i have my degree. I announce it in advance in case some of you want helps of any kind. I will post all the indicators, both in progress and finished i have made during those three years. I hope you can all understand.
Thanks for reading !
makeTPSo this model try to use the the take profit issue as important
the model is based on the early model that I put in last publication , the problem is that the fire point of the buy and sell has a delay and shoot some bars after (its not repaint but a bug due to TV code) . but once it stay it will calculate correctly the take profits . so I add take profit 1 and take profit 2 to the script . and since take profit 1 is correct without delay I add option to use it as buy again or short again . you can the older entry point which is H= high or L =low as your initial buy point but be aware that it sometime shoot too late since the problem in TV script to transfer the price correctly .or to enter to buy again option which is based on take profit 1 . the H and L are correctly detecting most of the time the Highs and the lows so by going on the trend them you can use the TP which are by % to max out your gains .. this is the theory behind this model
see here on amazon the concept
Progressive Profit Taking with Trailing StopThis is version 2 of
Special features:
Added partial profit taking as price rises. Profit taking is triggered by price crossing an EMA.
After profit taking, price has to rise by a user-specified percent before taking profits again.
Also includes condition for fully closing position after meeting specified profit target.
To incorporate into your algo, turn the plotshape functions into alertcondition.
Golden Cross, SMA 200 Moving Average Strategy (by ChartArt)This famous moving average strategy is very easy to follow to decide when to buy (go long) and when to take profit.
The strategy goes long when the faster SMA 50 (the simple moving average of the last 50 bars) crosses above the slower SMA 200. Orders are closed when the SMA 50 crosses below the SMA 200. This simple strategy does not have any other stop loss or take profit money management logic. The strategy does not short and goes long only!
Here is an article explaining the "golden cross" strategy in more detail:
www.stockopedia.com
On the S&P 500 index (symbol "SPX") this strategy worked on the daily chart 81% since price data is available since 1982. And on the DOW Jones Industrial Average (symbol "DOWI") this strategy worked on the daily chart 55% since price data is available since 1916. The low number of trades is in both cases not statistically significant though.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Elder's Market Thermometer [LazyBear]Market temperature, introduced by Dr.Alexander Elder, helps differentiate between sleepy, quiet and hot market periods.
Following is Mr.Elder's explanation on how to use this indicator (from his book "Come in to my Trading Room"):
"When markets are quiet, the adjacent bars tend to overlap. The consensus of value is well established, and the crowd does little buying or selling outside of yesterday’s range. When highs and lows exceed their previous day’s values, they do so only by small margins. Market Thermometer falls and its EMA slants down, indicating a sleepy market. When a market begins to run, either up or down, its daily bars start pushing outside of the previous ranges. The histogram of Market Thermometer grows taller and crosses above its EMA, which soon turns up, confirming the new trend."
"Market Thermometer gives four trading signals, based on the relationship between its histogram and its moving average:
1) The best time to enter new positions is when Market Thermometer falls below its moving average. When Market Thermometer falls below its EMA, it indicates that the market is quiet. If your system flashes an entry signal, try to enter when the market is cooler than usual. When Market Thermometer rises above its moving average, it warns that the market is hot and slippage more likely.
2) Exit positions when Market Thermometer rises to triple the height of its moving average. A spike of Market Thermometer indicates a runaway move. When the crowd feels jarred by a sudden piece of news and surges, it is a good time to take profits. Panics tend to be short-lived, offering a brief opportunity to cash in. If the EMA of Market Thermometer stands at 5 cents, but the Thermometer itself shoots up to 15 cents, take profits. Test these values for the market you are trading.
3) Get ready for an explosive move if the Thermometer stays below its moving average for five to seven trading days. Quiet markets put amateurs to sleep. They become careless and stop watching prices. Volatility and volume fall, and professionals get a chance to run away with the market. Explosive moves often erupt from periods of inactivity.
4) Market Thermometer can help you set a profit target for the next trading day. If you are a short-term trader and are long, add the value of today’s Thermometer EMA to yesterday’s high and place a sell order there. If you are short, subtract the value of the Thermometer’s EMA from yesterday’s low and place an order to cover at that level."
You can configure the "Explosive Move threshold" (default: 3), "Idle Market Threshold" (default: 7) and "Thermometer EMA length" (default: 22) via Options page.
More info:
"Come in to my Trading Room - A complete Guide to Trading" by Dr.Alexander Elder. (Page 162)
List of my other indicators:
- Chart:
- GDoc: docs.google.com
Enhanced Market Structure StrategyATR-Based Risk Management:
Stop Loss: 2 ATR from entry (configurable)
Take Profit: 3 ATR from entry (configurable)
Dynamic Position Sizing: Based on ATR stop distance and max risk percentage
Advanced Signal Filters:
RSI Filter:
Long trades: RSI < 70 and > 40 (avoiding overbought)
Short trades: RSI > 30 and < 60 (avoiding oversold)
Volume Filter:
Requires volume > 1.2x the 20-period moving average
Ensures institutional participation
MACD Filter (Optional):
Long: MACD line above signal line and rising
Short: MACD line below signal line and falling
EMA Trend Filter:
50-period EMA for trend confirmation
Long trades require price above rising EMA
Short trades require price below falling EMA
Higher Timeframe Filter:
Uses 4H/Daily EMA for multi-timeframe confluence
Enhanced Entry Logic:
Regular Entries: IDM + BOS + ALL filters must pass
Sweep Entries: Failed breakouts with tighter stops (1.6 ATR)
High-Probability Focus: Only trades when multiple confirmations align
Visual Improvements:
Detailed Entry Labels: Show entry, stop, target, and risk percentage
SL/TP Lines: Visual representation of risk/reward
Filter Status: Bar coloring shows when all filters align
Comprehensive Statistics: Real-time performance metrics
Key Strategy Parameters:
pinescript// Recommended Settings for Different Markets:
// Forex (4H-Daily):
// - CHoCH Period: 50-75
// - ATR SL: 2.0, ATR TP: 3.0
// - All filters enabled
// Crypto (1H-4H):
// - CHoCH Period: 30-50
// - ATR SL: 2.5, ATR TP: 4.0
// - Volume filter especially important
// Indices (4H-Daily):
// - CHoCH Period: 50-100
// - ATR SL: 1.8, ATR TP: 2.7
// - EMA and MACD filters crucial
Expected Performance Improvements:
Win Rate: 55-70% (improved filtering)
Profit Factor: 2.0-3.5+ (better risk/reward with ATR)
Reduced Drawdown: Stricter filters reduce false signals
Consistent Risk: ATR-based stops adapt to volatility
This enhanced version provides much more robust signal filtering while maintaining the core market structure edge, resulting in higher-probability trades with consistent risk management.
My strategyThis strategy is designed for BTC/USDT breakout trading on short-to-medium timeframes. It enters positions when price breaks out above recent highs or below recent lows, using automated risk management and alerts.
🔍 Core Logic
Long entry: When price breaks above the highest high of the last N candles (default: 20).
Short entry: When price breaks below the lowest low of the last N candles.
This logic helps detect momentum-driven breakout moves based on recent price consolidation.
⚙️ Strategy Settings
Capital: $10,000
Order size: 1% of equity per trade
Commission: 0.1% per trade (simulating exchange fees)
Slippage: 3 ticks (for realism)
Take Profit: 3% from entry
Stop Loss: 1.5% from entry
These settings aim to provide realistic, risk-conscious backtest results, suitable for individual traders.
📊 Visual Features
Green line = Breakout High
Red line = Breakout Low
Entry/exit markers are plotted on the chart
🔔 Alerts
Alerts are integrated for:
Long Entry
Short Entry
You can create TradingView alerts using this script to automate notifications or connect to external bots (e.g., via webhook for Telegram or Discord).
🧠 How This Strategy Is Different
While many breakout bots use standard Donchian channels, this version allows you to:
Tune the breakout sensitivity (via the adjustable lookback period)
Customize TP/SL without external inputs
Integrate alerts for real-time decision making or automation
The simplicity and flexibility make it useful as both a live tool and a framework for further development.
⚠️ Disclaimer
This script is for educational purposes only. Backtests are based on historical data and do not guarantee future results. Always test thoroughly before using in live trading. Risk only what you can afford to lose.
DI/ADX Trend Strategy | (1-Min Scalping)Strategy Overview
This is an experimental 1-minute trend-following strategy combining DI+/DI-, ADX, RSI, MACD, VWAP, and EMA filters with a time-based exit. It aims to catch strong directional moves while strictly managing risk.
Indicator Components
• DI+/DI- + ADX – Trend direction + strength filter
• RSI (14) – Momentum confirmation (RSI > 55 or < 45)
• MACD Histogram – Detects directional momentum shifts
• Candle Body % Filter – Screens for strong commitment candles
• EMA 600 / 2400 – Long-term trend alignment
• Weekly VWAP – Entry only when price is above/below VWAP
• Trade Limit – Max 2 trades per direction per VWAP cycle
• Time-Based Stop – 0.50% SL, 3.75% TP, 12h (720 bars) time stop
Entry Logic
Long Entry:
• DI+ crosses above DI−
• RSI > 55
• MACD histogram > 0
• Strong bullish candle
• Price > VWAP
• EMA600 > EMA2400
• Within 25 bars of EMA crossover
• Max 2 long trades before VWAP resets
Short Entry:
• DI+ crosses below DI−
• RSI < 45
• MACD histogram < 0
• Strong bearish candle
• Price < VWAP
• EMA2400 > EMA600
• Within 25 bars of EMA crossover
• Max 2 short trades before VWAP resets
Exit Logic
• Stop Loss: 0.50%
• Take Profit: 3.75% (7.5R)
• Time Stop: 720 bars (~12 hours on 1m chart)
• Each trade exits independently
Testing Parameters
• Initial Capital: $10,000
• Commission: 0.10%
• Timeframe: 1-minute
• Tested on: BTCUSDT, ETHUSDT
• Pyramiding: Up to 5 positions allowed
• VWAP resets trade counter to reduce overtrading
Alerts
• Buy / Sell signal
• Trade Opened / Closed
• SL/TP triggered
⚠️ Notes
• Early-stage strategy — entry count varies by trend conditions
• Shared for educational use and community feedback
• Please forward-test before using live
• Open-source — contributions and suggestions welcome!
Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate independently before trading live.
Clarix Smart FlipPurpose
This tool identifies high-probability intraday reversals by detecting when price flips through the daily open after strong early-session commitment.
How It Works
A valid flip occurs when:
The previous daily candle is bullish or bearish
The first hour today continues in the same direction
Then, the price flips back through the daily open with a minimum break threshold (user-defined)
This setup is designed to catch liquidity grabs or fakeouts near the daily open, where early buyers or sellers get trapped after showing commitment
Signal Logic
Buy Flip
Previous day bearish → first hour bearish → price flips above open
Sell Flip
Previous day bullish → first hour bullish → price flips below open
Features
Configurable flip threshold in percentage
Signals only activate after the first hour ends
Daily open line displayed on chart
Simple triangle markers with no visual clutter
Alerts ready to use for automation or notifications
Usage Tips
Use "Once Per Bar" alert mode to get notified immediately when the flip happens
Works best in active markets like FX, indices, or crypto
Adjust threshold based on asset volatility
Suggested stop loss: use the previous daily high for sell flips or the previous daily low for buy flips
Suggested take profit: secure at least 30 pips to aim for a 1:3 risk-to-reward ratio on average
Intraday Momentum StrategyExplanation of the StrategyIndicators:Fast and Slow EMA: A crossover of the 9-period EMA over the 21-period EMA signals a bullish trend (long entry), while a crossunder signals a bearish trend (short entry).
RSI: Ensures entries are not in overbought (RSI > 70) or oversold (RSI < 30) conditions to avoid reversals.
VWAP: Acts as a dynamic support/resistance. Long entries require the price to be above VWAP, and short entries require it to be below.
Trading Session:The strategy only trades during a user-defined session (e.g., 9:30 AM to 3:45 PM, typical for US markets).
All positions are closed at the session end to avoid overnight risk.
Risk Management:Stop Loss: 1% below/above the entry price for long/short positions.
Take Profit: 2% above/below the entry price for long/short positions.
These can be adjusted via inputs for optimization.
Position Sizing:Fixed lot size of 1 for simplicity. Adjust based on your account size during backtesting.