QuantCat Chande Swinger StrategyQuantCat Chande Swinger
This strategy is designed to be used on the 1 minute with mainly bitcoin, and cryptocurrencies. But parameters can be adjusted to ANY pair.
After some long research about chande momentum oscillator, I decided to create a strategy using normal distribution percentage levels to snipe entries. This in turn on the 1 minute can create a nice profit over a consecutive amount of days, the end goal is to get a stronger version of this strategy running on a bot and print some money. This strategy is tightly defined, and can be loosened up to make more trades too- giving a higher sample size and better sharpe ratio.
The strategy checks to see if the Chande value is in an extreme percentile based on the last few hundred chande values- if it is it will open a position.
No stoploss or take profit implemented into the swinger yet, but this will be the next addition to really minimise loss and amplify potential profits.
Any liquid crypto pair on the low timesframes will net a good result with this strategy.
We also have a free 15M and 1H strategy available too.
You can join our discord server to get live alerts for the strategies as well as speak to our devs! Link in signature below!!!
Pesquisar nos scripts por "take profit"
Viral Strategy 0.5Green background trend is up
Red background trend is down
Best settings on 10m:
Trend Determination: MAs
Godmode Oversold: 25
Godmode Overbought: 75
Gomode Timeframe: 2 Hour
Godmode Take Profit timeframe: 7m
StochRSI K: 3
StochRSI D: 3
StochRSI Timeframe: 10m
WT Overbought: 40 (50 for less trades, higher profitability)
WT Oversold: -40
Combined with RScalper 10m you get some really nice results
Bilateral Stochastic Oscillator StrategyIntroduction
Strategy based on the bilateral stochastic oscillator, this oscillator aim to detect trends and possible reversal points of the current trend. The oscillator is composed of 1 bull line in blue and 1 bear line in red as well as a signal line in orange, the strategy have many options such as two different strategy framework and a martingale mode. If you require more information about the indicator go check it into my uploaded indicators.
Strategy Frameworks
There are two frameworks available that can be selected from the strategy settings window. Both have the same closing conditions, the "Bull/Bear Cross" entry conditions are :
Buy : when the bull line cross over the bear line
Sell : when the bear line cross over the bull line
The "Signal Cross" entry conditions are :
Buy : when the bull line cross over the signal line
Sell : when the bear line cross over the signal line
Both have the same close conditions that is : close when bull/bear cross under the signal line.
Introduction To Martingale
The martingale money management system consist to double the order size after a loosing trade and can be described as a 2^x where x is the current number of loosing trades since the last win trade, when we win a trade the order size return to the default order size. Therefore our order size function is based on exponential growth.
This system enable the trader to win back his previous losses plus a potential profit, martingales must always be used with stops and sometimes take profits in order to get control in a strategy.
It must always be taken into account that in a series of losses the balance can exponentially decay thus ending to 0 in a matter of trades, this is why it is not recommended to use such system. The strategy allow you to select a martingale multiplier that can be inferior to 2 thus limiting risks, a multiplied of 1 disable the martingale.
Results
Those are the some statistics of the strategy applied to some forex majors by using the default settings in a time frames of 15 minutes.
//-------------------------------------------------------
EURUSD - Order Size 1000 - Spread 0.0002
Profit : $ 21.08
Trades : 19
PP : 57.89 %
Profit Factor : 3.228
Max Drawdown : -$ 3.81
Average Trade : $ 1.11
//-------------------------------------------------------
GBPUSD - Order Size 1000 - Spread 0.0002
Profit : $ 2.31
Trades : 20
PP : 55 %
Profit Factor : 0.938
Max Drawdown : -$ 20.29
Average Trade : $ 0.12
//-------------------------------------------------------
EURAUD - Order Size 1000 - Spread 0.0002
Profit : -$ 9.22
Trades : 20
PP : 40 %
Profit Factor : 0.698
Max Drawdown : -$ 23.44
Average Trade : $ 0.46
//-------------------------------------------------------
EURCHF - Order Size 1000 - Spread 0.0002
Profit : $ 1.58
Trades : 24
PP : 54.17 %
Profit Factor : 1.103
Max Drawdown : -$ 7.23
Average Trade : $ 0.07
//-------------------------------------------------------
Conclusions
Based on the results the strategy does not posses the sufficient performance in order to apply a martingale or any other growth systems as order size. Parameters might be subject to drastic changes depending on the market/time-frame in order to return long-term positive results. I let you draw your conclusions.
Cyatophilum Scalping Bot [BACKTEST]This indicator triggers Short or/and Long entries and exits.
Example with a Long trade:
The integrated stop loss will trigger an alert to exit the trade.
It is possible that a trend reverses during a trade.
In this case, the "LONG EXIT" alert will trigger at the same
time as the "SHORT ENTRY".
The Trend Detector feature, using EMA or Tilson T3 will filter trades that are against the main trend and thus increase profitability.
BONUS FEATURE
Trailing Take Profit with configurable % deviation.
SAMPLE USE CASES
ETH/BTC
ETH/USD
FOREX: GBP/USD
FOREX: XAU/USD
BTC/USDT
LTC/BTC
XRP/BTC
Read More
> Get access to the Cyatophilum Indicators <
MA cross strategyThis strategy uses simple moving average cross for entry signals, but it can be customized with 3 cases:
1- exit at take profit and stop loss;
2- exit when distance between close and moving average is above a user defined minimum;
3- use Renko candles to calculate the moving average without changing the graph candles.
The third case is the one with better results, but for non-pro users can be used only with daily time frame.
Look at profit factor and percent of winning trades.
You can test also on your favorite pair, but most important is setting correct brick size.
At request, I could share also a screener with alarms for finding which symbol statisfy entry rules.
Please use comment section for any feedback.
********************************** IMPORTANT*******************************
I have developed an expert advisor for metatrader4 (MT4): results of expert advisor form 2015-01-01 to today are very good with low drawdown and good profit.
********************************************************************************
Trend Hunter [BETA]This is in BETA now. Im reaching out to coders for some assistance on my "take profit" targets. As you can see, these are obviously plotshapes, How would I go about setting take profits for backtesting purposes? Thanks in advance
AutoTrendTrader Strategy"The Trend is your Friend" is a popular quote and Day-Traders, as well as long-term Investors, build their Strategies on top of this Mantra.
Leverage this Principle by using AutoTrendTrader to ride the Trend and let your Profits run!
Get Email-Alerts with your customized buy and sell signals, or use autoview to trigger and exit the trades.
Features:
Reliable Detection of Up- and Downtrends - this will enable you to enter strong Trends at the right time
Partial Profit Taking - Configure your perfect Mix of taking profits early vs. letting profits run
Reversing Signals - Limit your Draw-Down
Proprietary Algorithms combined with multiple Confirmations via other Technical Indicators
What's included:
AutoTrendTrader Study (generate Signals)
AutoTrendTrader Strategy (backtest your Settings)
SteveLeoStrat v275%+ accuracy on BTC/USD, IOTA/USD and a few others I have manually tested, only for 30M or 1H timeframe.
If you only take the strongest signals by using human judgement and other indicators, easily rises to 90% accuracy.
Backtested with 3 years of data and there is no repainting. You can use the replay data to check.
I also added an alert function so you can notify yourself when a long or short pops up.
Enter on long when entry is below the green line by at least 1%
Take profit when it reaches the green line or above.
Not all signals are equal. Use with MACD Crossover & Support + Resistance lines and you have a highly profitable system, plus there are other tricks I have discovered from fiddling with it for a long time.
Currently in beta testing for a paid educational program I am creating - can post below if you are interested and I will inform you when it launches.
nATR Reversal StrategyATR Reversal Strategy that has been extended to add an additional ATR based stoploss, trailing stop and take profit.
This script was developed as part of a professional development service. It is published for customer verification and acceptance.
For people interested in professional services, please visit the backtest-rookies (.com) website.
Features
nATR based Stop Loss added
nATR based Trailing stop added
nATR based Take profit added
Switches for each exit type to turn them on or off in the strategy
Plotting of all exit levels on the chart
Prevent reversing when using newly added exits.
Allow reversing when all exit switches are off and opposite long/short conditions are met.
The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2
The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality.
Top list of these cheating repainting strategies:
1569 upvotes ANN Strategy
877 upvotes Vdub FX SniperVX3 Strategy
481 upvotes Get Trend Strategy
I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list.
I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :)
My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%.
Please don't trade with this strategy!
How to automate this strategy for free using a chrome extension.Hey everyone,
Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep.
Step 1:
You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol)
Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert.
Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please.
This following script is for the custom alerts:
//@version=2
study("4All-Alert", shorttitle="Alerts")
src = close
len = input(4, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(5)
sn = 100 - rsin
ln = 0 + rsin
short = crossover(rsi, sn) ? 1 : 0
long = crossunder(rsi, ln) ? 1 : 0
plot(long, "Long", color=green)
plot(short, "Short", color=red)
Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts.
To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com
For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close.
In the message for a long place this as your message:
Long
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=13 sl=25
and for the short...
Short
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=13 sl=25
If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all.
I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView.
ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts.
There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided.
Best of luck and happy trading.
Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links.
www.okcoin.com
1broker.com
Scalping EMA + Pinbar Strategy (London & NY only, BE @ 1R)The scalping trading system uses two types of indicators:
EMA 10, EMA 21, EMA 50
Pinbar Indicator
Rules for entering a buy order:
If the closing price is above the EMA 50, the trend is uptrend and only buy orders should be considered.
The EMA 10 and EMA 21 lines must simultaneously be above the EMA 50.
The price must correct down at least 50% of the area created by the EMA 10 and EMA 21, or correct further down.
A Type 1 Pinbar candle (marked by the Pinbar indicator) must appear; this Pinbar candle must react to at least one of the three EMA lines (EMA 10, EMA 21, EMA 50) and close above the EMA 50.
This Pinbar candle must have a Pinbar strength value (marked by the Pinbar indicator) less than 2 to be considered valid. Check if the closing price of this pinbar candle is higher than the 50-day EMA and if the 10-day and 21-day EMAs are also higher than the 50-day EMA. If so, the conditions have been met and you can begin trading.
Place a buy stop order 0.1 pip higher than the highest price of the pinbar candle, and a stop loss order 0.1 pip lower than the lowest price of the pinbar candle. Set the take profit at 3R.
If the price moves past the previously set stop loss, cancel the pending order.
When the price moves 1R, move the stop loss back to the entry point.
The next trade can only be executed after the previous trade has moved the stop loss back to the entry point.
Rules for placing sell orders:
If the closing price is below the 50-day EMA, the trend is bearish, and only sell orders should be considered. The 10-day and 21-day EMAs must both be below the 50-day EMA.
The price must correct downwards by at least 50% of the area formed by the 10-day and 21-day EMAs, or even further.
A Type 1 pinbar candle (marked by the Pinbar indicator) must appear. This pinbar candle must react to at least one of the three EMAs (EMA 10, EMA 21, EMA 50) and close below the EMA 50.
This pinbar is valid if its strength (indicated by the Pinbar indicator) is less than 2. Verify that the closing price of this pinbar candle is below the EMA 50 and that both the EMA 10 and EMA 21 are below the EMA 50. If all conditions are met, the trade can be executed.
(This appears to be a separate entry rule and not part of the previous text.) Place a sell stop order 0.1 pip below the lowest point of the pinbar candle, and a stop loss order 0.1 pip above the highest point of the pinbar candle. Set the take profit point at 3R.
If the price moves past the previously set stop-loss point, cancel the pending order.
When the price moves 1R, move the stop-loss point back to the entry point.
The next trade can only be executed after the previous trade has moved the stop-loss point back to the entry point.
New Age US ORB═════════════════════════════════════════════════════════════
NEW AGE US ORB
Opening Range Breakout Strategy with Neon Glow Effect
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🔒 INVITE-ONLY ACCESS
This script requires an invitation to use.
To request access, please send me a private message.
═════════════════════════════════════════════════════════════
🎯 OVERVIEW
The New Age US ORB is a clean, professional Opening Range Breakout (ORB) strategy with a futuristic visual style featuring dynamic neon glow effects.
Designed for Crypto (BTC/USD) and Indices (US100, US30, SPX) trading.
Best results on 5-minute or 15-minute chart with Regular Candles.
The strategy captures the first 15 minutes of US market activity (9:30-9:45 NY) and trades breakouts in the direction of the initial move.
💎 WHAT MAKES THIS UNIQUE
Unlike standard ORB indicators, this strategy combines:
• Proprietary 3-layer Neon Glow visualization for enhanced box visibility
• Integrated US Session backgrounds for market context
• Smart Session Filter to avoid low-probability late entries
• Separate Long/Short TP management for asymmetric markets
• Automatic EOD position closure for overnight risk control
• Daily trade limiter to prevent overtrading
• Global Timezone Support - works correctly for traders worldwide
This combination of visual design and risk management features is not available in standard ORB scripts.
Trade Smarter, not Harder.
📦 WHAT IS ORB?
The Opening Range Breakout (ORB) strategy is based on the concept that the first 15 minutes of the US market session often sets the tone for the rest of the day. The High and Low established during this period act as key support/resistance levels.
• Price breaks ABOVE ORB High → Bullish momentum (LONG)
• Price breaks BELOW ORB Low → Bearish momentum (SHORT)
⚡ KEY FEATURES
📦 ORB BOX VISUALIZATION
• Automatically captures High/Low of 9:30-9:45 NY candle
• Dynamic color change:
→ Cyan: Price ABOVE ORB High (Bullish)
→ Red: Price BELOW ORB Low (Bearish)
• Extends throughout the trading session
✨ NEON GLOW EFFECT
• 3-layer glow effect around the ORB box
• Layered borders (8px → 5px → 3px) with gradient transparency
• Creates futuristic, high-visibility appearance
• Toggle on/off in settings
🕐 US SESSION BACKGROUNDS
• US Open (9:30-11:30 NY) - Blue
• Lunch Break (11:30-13:30 NY) - Orange
• Afternoon (13:30-16:00 NY) - Green
• Visual reference only - helps identify optimal trading windows
⏱️ SESSION FILTER
• Configurable trading window (default: until 11:50 NY)
• Prevents late entries when momentum fades
• EOD auto-close in YOUR selected timezone (default: 21:45)
🎚️ RISK MANAGEMENT
• ORB Box Stop Loss: SL at opposite ORB level + buffer
• Separate Take Profit settings for Long/Short
• Points or Percentage mode
• Daily trade limit (default: 6 trades max)
📊 INFO DASHBOARD
• Real-time status panel (top right)
• Shows: Timezone, Status, Session, Direction, Trades, SL/TP, EOD, ORB levels
⚙️ SETTINGS
TIMEZONE
└── Your Timezone: Select from 12 global timezones (Default: Europe/Zurich)
Available: UTC, New York, Chicago, Los Angeles, London, Berlin,
Zurich, Paris, Tokyo, Hong Kong, Singapore, Sydney
ORB BOX (9:30-9:45 NY)
├── Show ORB Box: true/false
└── Neon Glow Effect: true/false
US SESSION BACKGROUNDS
├── Show Session Background: true/false
├── US Open Color (9:30-11:30)
├── Lunch Color (11:30-13:30)
└── Afternoon Color (13:30-16:00)
SESSION FILTER
├── Enable Session Filter: true/false
├── Session End Hour (NY): 0-23
└── Session End Minute (NY): 0-59
DAILY CLOSE (Your Timezone)
├── Enable Daily Close: true/false
├── EOD Hour: 0-23
└── EOD Minute: 0-59
TRADE LIMITS
├── Enable Daily Limit: true/false
└── Max Trades per Day: 1-10
STOP LOSS
├── Enable ORB Box SL: true/false
└── SL Buffer: Points distance from ORB level
TAKE PROFIT - LONG
├── Enable TP Long: true/false
├── Mode: Points / Percent
├── TP Long Points: Distance in points
└── TP Long Percent: Distance in %
TAKE PROFIT - SHORT
├── Enable TP Short: true/false
├── Mode: Points / Percent
├── TP Short Points: Distance in points
└── TP Short Percent: Distance in %
COLORS
├── Bullish: Default #00ffbb (Cyan)
└── Bearish: Default #ff1100 (Red)
📈 HOW TO USE
1. Apply to BTC/USD or US100 on 5min or 15min timeframe
2. Use Regular Candles for realistic results
3. Go to Strategy Properties → Enable ☑️ "Recalculate On Bar Close"
4. Select your Timezone in settings (for correct EOD close time)
5. Wait for ORB box to complete (9:45 NY)
6. Strategy enters automatically on breakout:
→ LONG when price closes above ORB High
→ SHORT when price closes below ORB Low
7. Manage risk with ORB Box SL and TP settings
8. All positions close at EOD time (in your timezone)
🔔 ALERTS
• LONG Entry - Breakout above ORB High
• SHORT Entry - Breakout below ORB Low
• EOD Close - End of day position close
💡 BEST PRACTICES
• Most effective during US Open session (9:30-11:30 NY)
• Avoid Lunch session (11:30-13:30) - lower volatility
• ORB levels act as support/resistance all day
• Wider TP for trending days, tighter for ranging markets
• Use session filter to avoid late, low-probability entries
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© AL_R4D1 - New Age Style Trading Tools
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ORB Strategy: Extensions & Custom SL (EOD & Live Lines)That's a great request. Since you've now built a complex Pine Script Strategy with several user-configurable risk management, targeting, and exit options, the description should focus on the systematic rules used for entering, managing, and exiting trades.
Here is a clear, written description of the trading strategy you have built:
Trading Strategy Description: ORB Extension Breakout with Custom Stop, Live Tracking, and EOD Exit
This strategy is a systematic, momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk and enforcing a mandatory end-of-day closure.
1. Market Identification (The Opening Range)
The strategy first defines the market's initial boundaries and volatility:
Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time).
ORB Levels: Two key price levels are established and locked once the time window closes:
Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines.
Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used as the basis for calculating all targets and stops.
2. Entry Rule (The Breakout)
The strategy waits passively for a breakout that confirms direction and ensures the move has not yet reached its immediate target.
Trigger Condition: A trade is signaled when a candle closes either:
Above the Wick High (for a Long entry).
Below the Wick Low (for a Short entry).
Constraint (Fresh Breakout): The entry is invalidated if the breakout candle's price action (High for Long, Low for Short) has already touched or surpassed the projected Take Profit (0.5 Extension) level before the candle closes.
Execution: The entry is a Market Order executed on the candle that meets the trigger conditions, subject to a user-defined Entry Delay (default 0 bars).
Direction Control: The user can select to trade Long Only, Short Only, or Both.
3. Exit and Risk Management
All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) upon entry.
A. Take Profit (TP)
The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range).
Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range.
B. Stop Loss (SL)
The Stop Loss is dynamically calculated based on a user-selected method for risk control:
Range 0.5 (Body Range): The SL is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range.
ATR Multiple: The Stop Loss distance is calculated as a user-defined Multiplier times the Average True Range (ATR).
Recent Swing Low/High: The Stop Loss is placed based on a structural low (for Long) or high (for Short) within a user-defined lookback period.
C. End-of-Day (EOD) Exit
Any open position is forced closed at the market price if it is still open when the user-defined closing time (default: 16:00 HHMM) is reached. This prevents carrying intraday risk overnight.
4. Visualization
The strategy includes comprehensive visual cues for analysis:
ORB Drawing: Displays the Wick High/Low and the shaded Body Range.
Breakout Signals: Highlights the specific bar where the validated entry signal occurs.
Closed Trades: Draws persistent lines for the Entry and Exit prices of the last few closed trades.
Live Open Trades: Draws persistent lines for the current Entry Price, active Take Profit Level, and active Stop Loss Level for any open position.
DR/IDR Break .5 TPDR/IDR Extension Breakout with Custom Stop
This strategy is a systematic, counter-trend, and momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk.
1. Market Identification (The Opening Range)
The strategy begins by defining the market's initial boundaries and volatility:
Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time).
ORB Levels: Two key price levels are established and locked once the time window closes:
Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines.
Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used to calculate the Take Profit and Stop Loss levels.
2. Entry Rule (The Breakout)
The strategy is passive until the range is violated, looking for a strong move out of the consolidation area.
Trigger Condition: A trade is signaled when a candle closes either:
Above the Wick High (for a Long entry).
Below the Wick Low (for a Short entry).
Execution: The entry is a Market Order executed on the candle that meets the trigger condition, subject to a user-defined Entry Delay (default 0 bars, meaning the entry is taken immediately upon the breakout candle's close).
Direction Control: The user can select to trade Long Only, Short Only, or Both.
3. Exit and Risk Management
All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) once the entry is filled.
A. Take Profit (TP)
The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range).
Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range.
B. Stop Loss (SL)
The Stop Loss is dynamically calculated based on a user-selected method for risk control:
Range 0.5 (Body Range): The Stop Loss is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range.
Example (Long): If entry is above the Wick High, the SL is set 0.5 times the Body Range height below the Body Low.
ATR Multiple: The Stop Loss distance is determined by the asset's recent volatility.
Calculation: The distance is calculated as a user-defined Multiplier (default 2.0) times the Average True Range (ATR).
Recent Swing Low/High: The Stop Loss is placed based on a structural level defined by recent price action.
Long Entry: SL is placed at the Lowest Swing Low within a user-defined lookback period.
Short Entry: SL is placed at the Highest Swing High within a user-defined lookback period.
Summary of Workflow
The market sets the Wick and Body boundaries (e.g., 9:30–10:30 AM).
Price breaks and closes beyond a Wick boundary, triggering a signal.
The trade enters after the specified delay.
A bracket order is placed: TP is fixed at the 0.5 Extension, and SL is set based on the user's chosen risk method.
The trade is closed upon reaching either the TP or the SL level.
FluxMA ProFluxMA – Mechanical Moving Average Strategy with Risk Control
FluxMA is a backtesting strategy based on price breaking through a configurable moving average. Its purpose is to provide a simple, transparent, and flexible framework to study a trend-following system with clear entries, predefined Stop Loss and Take Profit levels, and no martingale, no grid, and no hidden logic.
This strategy is intended for traders who want to analyze data objectively, test risk management ideas, and explore different moving average, time, and weekday configurations within the TradingView environment.
Core Strategy Logic
The core logic of FluxMA is driven by the relationship between the close price and a configurable moving average:
A moving average is calculated on the close price (SMA, EMA, WMA, or RMA).
When a bar closes above the moving average, a long (buy) signal is generated.
When a bar closes below the moving average, a short (sell) signal is generated.
Trades are simulated at the open of the next bar, avoiding any repainting of signals on the current bar.
At all times, the strategy keeps at most one open position (no pyramiding).
There are no complex patterns or hidden conditions: everything is centered on the clean break of price relative to the moving average.
Main Parameters
FluxMA includes several parameters so you can adapt the behavior of the strategy to the instrument and your preferred style:
Moving Average
Moving average type: SMA, EMA, WMA, or RMA.
Moving average period: fully configurable, so you can make it faster or slower depending on timeframe and instrument.
Basic SL/TP Management
Stop Loss (SL) set at a fixed price distance.
Take Profit (TP) set at a fixed price distance.
The risk–reward ratio is defined by the combination of SL and TP settings.
Trading Filters
Time filter: define a start time and end time for trading to limit the strategy to specific intraday sessions.
Day-of-week filter: choose which days (Monday–Sunday) are allowed to trade.
Direction filter:
Longs only.
Shorts only.
Both directions.
“One trade per day” option: after the first trade of the day, all further signals for that day are ignored.
Suggested Use and Best Practices
FluxMA is meant to be a prototyping and analysis tool, not a ready-made “plug-and-play” system. Some ideas for how to use it:
Test different timeframes (e.g., M5, M15, H1) and see how performance changes as you adjust the moving average speed and the time horizon.
Tune the moving average type and period to study smoother vs. more aggressive trend behavior.
Analyze the impact of the time filter: only European session, only US session, or narrower windows.
Turn specific weekdays on/off to identify which days tend to behave better for each instrument.
Use this strategy as a base layer and later add your own filters (higher timeframe trend, volatility filters, etc.) within TradingView’s testing environment.
It’s a good idea to combine backtest results with manual chart review, especially in highly volatile periods and around major trend reversals.
Disclaimer and Limitations
FluxMA does not use martingale, grid, averaging down, or any aggressive position sizing. Each trade is opened with a clear logic and closed by SL or TP according to fixed rules.
This strategy runs only inside TradingView for historical simulation and analysis purposes. It is not investment advice or financial guidance.
Backtest and historical results do not guarantee future performance in live markets.
Any decision to use similar logic in live accounts or other trading environments is entirely the user’s responsibility, including risk management, position sizing, and instrument selection.
In summary, FluxMA is a simple and transparent foundation to study how a mechanical moving average breakout system behaves under different parameter, session, and weekday configurations, within a controlled testing environment like TradingView.
VWolf – Slope GuardOVERVIEW
Slope Guard combines a momentum core (WaveTrend + RSI/MFI + QQE family) with a directional bias (EMA/DEMA and a DEMA-slope filter). Trade direction can be constrained by the Supertrend regime (Normal or Pivot). Risk is managed with ATR-based stops and targets, optional Supertrend-anchored dynamic levels, and a two-stage take-profit that can shift the stop to break-even after the first partial. The strategy supports explicit Backtest and Forward-test windows and adapts certain thresholds by market type (Forex vs. Stocks).
RECOMMENDED USE
Markets: Forex and equities; use Market Type to properly scale the DEMA-slope gate.
Timeframes: M15–H4 for intraday-swing and H1–D1 for slower swing; avoid ultra-low TFs without tightening ADX/QQE.
Assets: Instruments with persistent trends and orderly pullbacks; avoid flat ranges without sufficient ADX.
Strengths
Multi-layer confluence: trend bias + momentum + regime + strength.
Flexible risk engine: ATR vs. Supertrend anchoring, staged exits, and automatic break-even.
Clean research workflow: separated Backtest and Forward-test windows.
Precautions
Structural latency: Pivot-based constructs confirm with delay; validate with Forward-test.
Filter interaction: QQE Strict + ADX + WT zero-line can become overly selective; calibrate by asset/TF.
Overfitting risk: Prefer simple, portable parameter sets and validate across symbols/TFs.
CONCLUSION
Slope Guard is a “trend + momentum” framework with risk control at its core. By enforcing a baseline bias, validating momentum with the Vuman composite, and offering ATR or Supertrend-anchored exits—plus staged profits and break-even shifts—it seeks to capture the core of directional swings while compressing drawdowns. Keep testing windows isolated, start with moderate filters (QQE Normal, ADX ~20–25), and only add stricter gates (WT zero-line, DEMA slope) once they demonstrably improve stability without starving signals.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Shadow PulseOVERVIEW
The Trend Momentum Breakout Strategy is a rule-based trading system designed to identify high-probability entries in trending markets using a combination of trend confirmation, momentum filtering, and precise trigger conditions. The strategy is suitable for intermediate to advanced traders who prefer mechanical systems with clear entry/exit logic and configurable risk management options.
At its core, this strategy seeks to enter pullbacks within strong trends, capitalizing on momentum continuation after brief pauses in price movement. By integrating multiple moving averages (MAs) for trend validation, ADX (Average Directional Index) as a strength filter, and Stochastic RSI as an entry trigger, the strategy filters out weak trends and avoids overextended market conditions. Exit logic is based on a customizable fixed stop-loss (SL) and take-profit (TP) framework, with optional dynamic risk-reduction mechanisms powered by the Supertrend indicator.
This strategy is designed to perform best in clearly trending markets and is especially effective in avoiding false breakouts or choppy sideways action thanks to its ADX-based filtering. It can be deployed across a variety of asset classes, including forex, stocks, cryptocurrencies, and indices, and is optimized for intra-day to swing trading timeframes.
RECOMMENDED USE
This strategy is designed to be flexible across multiple markets, but it performs best under certain conditions:
Best Suited For:
Trending markets with clear directional momentum.
High-volume instruments that avoid erratic price action.
Assets with intraday volatility and swing patterns.
Recommended Asset Classes:
Forex pairs (e.g., EUR/USD, GBP/JPY)
Cryptocurrencies (e.g., BTC/USD, ETH/USDT)
Major indices (e.g., S&P 500, NASDAQ, DAX)
Large-cap stocks (especially those with consistent liquidity)
Suggested Timeframes:
15-minute to 1-hour charts for intraday setups.
4-hour and daily charts for swing trading.
Lower timeframes (1–5 min) may generate too much noise unless fine-tuned.
Market Conditions to Avoid:
Ranging or sideways markets with low ADX values.
Assets with irregular price structures or low liquidity.
News-heavy periods with unpredictable price spikes.
CONCLUSION
This strategy stands out for its robust and modular approach to trend-following trading, offering a high level of customization while maintaining clear logic and structural discipline in entries and exits. By combining three distinct layers of confirmation—trend identification (via configurable moving averages), trend strength validation (via the DMI filter), and timing (via the Stochastic RSI trigger)—it aims to reduce noise and increase the probability of entering trades with directional bias and momentum on its side.
Its flexibility is one of its strongest points: users can tailor the strategy to fit various trading styles and market conditions. Whether the trader prefers conservative setups using only the slowest moving average, or more aggressive entries requiring full alignment of fast, medium, and slow MAs, the system adjusts accordingly. Likewise, exit management offers both static and dynamic methods—such as ATR-based stop losses, Supertrend-based adaptive exits, and partial profit-taking mechanisms—allowing risk to be managed with precision.
This makes the strategy particularly suitable for trend-driven markets, such as major currency pairs, indices, or volatile stocks that demonstrate clear directional moves. It is not ideal for sideways or choppy markets, where multiple filters may reduce the number of trades or result in whipsaws.
From a practical standpoint, the strategy also incorporates real-world trading mechanics, like time-based filters and account risk control, which elevate it from a purely theoretical model to a more execution-ready system.
In summary, this is a well-structured, modular trend strategy ideal for intermediate to advanced traders who want to maintain control over their system parameters while still benefiting from layered signal confirmation. With proper calibration, it has the potential to become a reliable tool in any trader’s arsenal—particularly in markets where trends emerge clearly and sustainably.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf – Momentum TwinOVERVIEW
VWolf – Momentum Twin is designed to identify high-probability momentum reversals emerging from overbought or oversold market conditions. It employs a double confirmation from the Stochastic RSI oscillator, optionally filtered by trend and directional movement conditions, before executing trades.
The strategy emphasizes consistent risk management by scaling stop-loss and take-profit targets according to market volatility (ATR), and it provides advanced position management features such as partial profit-taking and automated stop-loss adjustments.
RECOMMENDED USE
Markets: Major FX pairs, index futures, large-cap stocks, and top-volume cryptocurrencies.
Timeframes: Best suited for M15–H4; adaptable for swing trading on daily charts.
Trader Profile: Traders who value structured, volatility-adjusted momentum reversal setups.
Strengths:
Double confirmation filters out many false signals.
Multiple filter options allow strategic flexibility.
ATR scaling maintains consistent risk across assets.
Trade management tools improve adaptability in dynamic markets.
Precautions:
May produce fewer trades in strong one-direction trends.
Over-filtering can reduce trade frequency.
Requires validation across instruments and timeframes before deployment.
CONCLUSION
The VWolf – Momentum Twin offers a disciplined framework for capturing momentum reversals while preserving flexibility through its customizable filters and risk controls. Its double confirmation logic filters out a significant portion of false reversals, while ATR-based scaling ensures consistency across varying market conditions. The optional trade management features, including partial profit-taking and automatic stop adjustments, allow the strategy to adapt to both trending and ranging environments. This makes it a versatile tool for traders who value structured entries, robust risk control, and adaptable management in a variety of markets and timeframes.
🔥 Ribas Waves Strategy PRO++📝 Strategy Description: Ribas Waves Strategy PRO++
The Ribas Waves Strategy PRO++ is a powerful trading system based on the identification of Wolfe Waves patterns, designed to capture high-probability reversal points with precise entries and smart risk management.
This advanced version is fully customizable, allowing traders to adapt entry confirmations, trend filters, and risk/reward ratios to their preferred trading style and market conditions.
⚙️ Key Features:
✅ Automatic detection of both Bullish and Bearish Wolfe Wave patterns
✅ Entry confirmation options:
No confirmation (pure Wolfe pattern)
Directional candle (bullish or bearish close)
Engulfing candle (bullish/bearish)
Inside bar + breakout
✅ Optional EMA trend filter
✅ Configurable take profit via:
Risk multiple (R-multiple: e.g., 3x risk)
Percentage of risk (e.g., 300% of stop-loss distance)
✅ Toggle to show or hide wave labels and structure on chart
✅ Entry cooldown to prevent overlapping trades
✅ Visual display of current strategy position: 📈 Long / 📉 Short / ⛔️ Flat
📌 How to Use:
Set pivot sensitivity based on the asset's volatility (default: 7)
Choose your preferred entry confirmation method
Enable or disable the EMA trend filter
Adjust your take profit logic (R-multiple or % of risk)
Run a backtest or use live alerts for execution
💡 Author Recommendations:
Best suited for volatile markets such as crypto, indices, and forex.
For more trades, disable confirmation filters or use “Directional Candle” mode.
Use higher timeframes or combine with volume/context filters for increased accuracy.
Regularly backtest different settings to optimize your edge on specific assets.
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy:
---
## Options Scalper v2 - SPY/QQQ
### Overview
A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries.
---
### Core Logic
The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when:
1. A recent EMA crossover occurred (within the last 3 bars)
2. The direction's score meets the minimum threshold (default: 4 points)
3. The signal's score is higher than the opposite direction
4. Enough bars have passed since the last signal (cooldown period)
5. Price action occurs during valid trading sessions
---
### Indicators Used
| Indicator | Purpose | CALL Condition | PUT Condition |
|-----------|---------|----------------|---------------|
| **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow |
| **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA |
| **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 |
| **VWAP** | Institutional level | Price above VWAP | Price below VWAP |
| **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line |
| **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D |
| **Volume** | Participation confirmation | Spike on green candle | Spike on red candle |
| **Price Structure** | Breakout detection | Higher high formed | Lower low formed |
---
### Scoring Breakdown
**CALL Score (Max 9 points):**
- Recent EMA cross up: +2 pts
- EMA alignment (fast > slow): +1 pt
- RSI in bullish range: +1 pt
- Above VWAP: +1 pt
- MACD bullish: +1 pt
- Volume spike on green candle: +1 pt
- Stochastic setup: +1 pt
- Above 200 EMA: +1 pt
- Breaking higher high: +1 pt
**PUT Score (Max 9 points):**
- Recent EMA cross down: +2 pts
- EMA alignment (fast < slow): +1 pt
- RSI in bearish range: +1 pt
- Below VWAP: +1 pt
- MACD bearish: +1 pt
- Volume spike on red candle: +1 pt
- Stochastic setup: +1 pt
- Below 200 EMA: +1 pt
- Breaking lower low: +1 pt
---
### Risk Management
The strategy uses **ATR-based dynamic stops and targets**:
| Parameter | Default | Description |
|-----------|---------|-------------|
| Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts |
| Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio |
Positions are also closed on:
- Opposite direction signal (flip trade)
- Take profit or stop loss hit
---
### Session Filtering
Trades are restricted to high-liquidity periods by default:
- **Morning Session:** 9:30 AM - 11:00 AM EST
- **Afternoon Session:** 2:30 PM - 3:55 PM EST
This avoids choppy midday price action and captures the highest volume periods.
---
### Input Parameters
| Parameter | Default | Description |
|-----------|---------|-------------|
| Fast EMA | 9 | Fast moving average period |
| Slow EMA | 21 | Slow moving average period |
| Trend EMA | 200 | Long-term trend filter |
| RSI Length | 14 | RSI calculation period |
| RSI Overbought | 65 | Upper RSI threshold |
| RSI Oversold | 35 | Lower RSI threshold |
| Volume Multiplier | 1.2x | Volume spike detection threshold |
| Min Signal Strength | 4 | Minimum score required to trigger |
| Crossover Lookback | 3 | Bars to consider crossover "recent" |
| Min Bars Between Signals | 5 | Cooldown period between signals |
---
### Visual Elements
**Chart Plots:**
- Green line: 9 EMA (fast)
- Red line: 21 EMA (slow)
- Gray line: 200 EMA (trend)
- Purple dots: VWAP
**Signal Markers:**
- Green triangle up + "CALL" label: Buy call signal
- Red triangle down + "PUT" label: Buy put signal
- Small circles: EMA crossover reference points
**Info Table (Top Right):**
- Real-time CALL and PUT scores
- RSI, MACD, Stochastic values
- VWAP and 200 EMA position
- Recent crossover status
- Current signal state
---
### Alerts
| Alert Name | Trigger |
|------------|---------|
| CALL Entry | Standard call signal fires |
| PUT Entry | Standard put signal fires |
| Strong CALL | Call signal with score ≥ 6 |
| Strong PUT | Put signal with score ≥ 6 |
---
### Recommended Usage
| Setting | 0DTE Scalping | Intraday Swings |
|---------|---------------|-----------------|
| Timeframe | 1-2 min | 5 min |
| Min Signal Strength | 5-6 | 4 |
| ATR Stop Mult | 1.0 | 1.5 |
| ATR TP Mult | 1.5 | 2.0 |
| Option Delta | 0.40-0.50 | 0.30-0.40 |
---
### Key Improvements Over v1
1. **Requires actual crossover** - Eliminates false signals from simple trend continuation
2. **Balanced scoring** - Both directions evaluated equally, highest score wins
3. **Signal cooldown** - Prevents overtrading with minimum bar spacing
4. **Multi-indicator confluence** - 8 factors must align for signal generation
5. **Volume-candle alignment** - Volume spikes only count when matching candle direction
---
### Disclaimer
This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading.
The script includes:
Dynamic Take Profit & Stop Loss lines
Optional EMA trend filter
Visual BUY and EXIT markers
TradingView alerts for automation or notifications
This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
Long Only EMA Strategy (9/20 with 200 EMA Filter)Details:
This strategy is built around a very simple idea: follow the primary trend and enter only when momentum supports it.
It uses three EMAs on a standard candlestick chart:
1. 9‑period EMA – short‑term momentum
2. 20‑period EMA – medium‑term structure
3. 200‑period EMA – long‑term trend filter
The strategy is ** long‑only ** and is mainly designed for swing trading and positional trading.
It avoids counter‑trend trades by taking entries only when price is trading ** above the 200 EMA **, which is commonly used as a long‑term trend reference.
The rules are deliberately kept simple so that they are easy to understand, modify, and test on different markets and timeframes.
---
Key Features
1. **Trend‑Filtered Entries**
- Fresh long positions are considered only when:
- The 9 EMA crosses above the 20 EMA
- The closing price is **above** the 200 EMA
- This attempts to combine short‑term momentum with a higher‑timeframe trend filter.
2. **Clean Exit Logic**
- The long position is exited when the closing price crosses **below** the 20 EMA.
- This creates an objective, rule‑based way to trail the trade as long as the medium‑term structure remains intact.
3. **Long‑Only, No Short Selling**
- The script intentionally ignores short setups.
- This makes it suitable for markets or accounts where short selling is restricted, or for traders who prefer to participate only on the long side of the market.
4. **Simple Visuals**
- All three EMAs are plotted directly on the chart:
- 9 EMA (fast)
- 20 EMA (medium)
- 200 EMA (trend)
- Trade entries and exits are handled by TradingView’s strategy engine, so users can see results in the Strategy Tester as well as directly on the chart.
5. **Backtest‑Friendly Structure**
- Uses TradingView’s built‑in `strategy()` framework.
- Can be applied to different symbols, timeframes, and markets (equities, indices, crypto, etc.).
- Works on standard candlestick charts, which are supported by TradingView’s backtesting engine.
6. **Configurable in Code**
- The EMA periods are defined in the code and can be easily adjusted.
- Users can tailor the parameters to fit their own style (for example, faster EMAs for intraday trading, slower EMAs for positional trades).
---
How to Use
1. **Add the Strategy to Your Chart**
1. Open any symbol and select a **standard candlestick chart**.
2. Apply the strategy from your “My Scripts” section.
3. Make sure it is enabled so that the trades and results appear.
2. **Select Timeframe**
- The logic can be tested on various timeframes:
- Higher timeframes (1H, 4H, 1D) for swing and positional setups.
- Lower timeframes (5m, 15m) for more active trading, if desired.
- Users should experiment and see where the strategy behaves more consistently for their chosen market.
3. **Read the Signals**
- **Entry:**
- A long trade is opened when the 9 EMA crosses above the 20 EMA while the closing price is above the 200 EMA.
- **Exit:**
- The open long position is closed when the closing price crosses below the 20 EMA.
- All orders are generated automatically once the strategy is attached to the chart.
4. **Use the Strategy Tester**
- Go to the **Strategy Tester** tab in TradingView.
- Check:
- Net profit / drawdown
- Win rate and average trade
- List of trades and the equity curve
- Change the date range and timeframe to see how stable the results are over different periods.
5. **Adjust Parameters if Needed**
- Advanced users can open the code and experiment with:
- EMA lengths (for example 8/21 with 200, or 10/30 with 200)
- Risk sizing and capital settings within the `strategy()` call
- Any changes should be thoroughly re‑tested before considering real‑world application.
---
Practical Applications
1. **Swing Trading on Daily Charts**
- Can be applied to stocks, indices, or ETFs on the daily timeframe.
- The 200 EMA acts as a trend filter to stay aligned with the broad direction, while the 9/20 crossover helps catch medium‑term swings inside that trend.
2. **Positional Trades on Higher Timeframes**
- On 4H or 1D charts, this approach can help in holding trades for several days to weeks.
- The exit rule based on the 20 EMA crossing helps avoid emotional decisions and provides a rules‑based way to trail the trend.
3. **Trend‑Following Filter**
- Even if used purely as a filter, the 200 EMA condition can help traders:
- Avoid taking long trades when the market is in a clear downtrend.
- Focus only on instruments that are trading above their long‑term average.
4. **Educational Use**
- The script is intentionally kept straightforward so that newer users can:
- Learn how a moving average crossover strategy works.
- See how to combine a short‑term signal with a long‑term filter.
- Understand how TradingView’s strategy engine handles entries and exits.
5. **Basis for Further Development**
- This can serve as a starting point for more advanced systems.
- Traders can extend it by adding:
- Additional filters (RSI, volume, volatility filters, time‑of‑day filters, etc.)
- Risk management rules (fixed stop loss, take profit, trailing stops).
- The current version is kept minimal on purpose, so modifications are easy to implement and test.
---
Important Notes & Disclaimer
1. This strategy is provided **for testing, research, and educational purposes only**.
2. It is ** not ** a recommendation to buy or sell any financial instrument.
3. Past performance on historical data does not guarantee similar results in live markets.
4. Markets are risky and trading can lead to financial loss; users should always do their own research, manage risk appropriately, and consult a qualified financial professional if needed.
5. Before using any strategy with real capital, it is strongly advised to:
- Forward test it on a demo / paper trading account.
- Check how it behaves during different market phases (trending, sideways, high‑volatility conditions).
You are free to modify the parameters and logic to better align it with your own trading style and risk tolerance.






















