Simple and efficient MACD crypto strategy with risk managementToday I am glad to bring you another great creation suited for crypto markets.
MARKET
Its a simple and efficient strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
MACD with simple moving average
ENTRY DESCRIPTION
For entries we have :
We check the direction with MACD . Depending if its an uptrend and positive level on histogram of MACD we go long, otherwise we go short.
RISK MANAGEMENT
In this strategy we use a stop loss based on our equity. For this example I choosed a 2% risk .That means if our account has 100.000 eur, it will automatically close the trade if we lose 2.000.
We dont use a take profit level.
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
Cari dalam skrip untuk "stop loss"
High/low crypto strategy with MACD/PSAR/ATR/EWaveToday I am glad to bring you another great creation of mine, this time suited for crypto markets.
MARKET
Its a high and low strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
Higher high and lower low between different candle points
MACD with simple moving average
PSAR for uptrend and downtrend
Trenddirection made of a modified moving average and ATR
And lastly elliot wave oscillator to have an even better precision for entries and exits.
ENTRY DESCRIPTION
For entries we have : when the first condition is meet(we have a succession on higher high or lower lows), then we check the macd histogram level, then we pair that with psar for the direction of the trend, then we check the trend direction based on atr levels with MA applied on it and lastly to confirm the direction we check the level of elliot wave oscillator. If they are all on the same page we have a short or a long entry.
STATS
Its a low win percentage , we usually have between 10-20% win rate, but at the same time we use a 1:30 risk reward ratio .
By this we achieve an avg profit factor between 1.5- 2.5 between different currencies.
RISK MANAGEMENT
In this example, the stop loss is 0.5% of the price fluctuation ( 10.000 -> 9950 our sl), and tp is 15% (10.000 - > 11500).
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
Intraday Trend Following Algorithm [Bitduke]Description :
Trend following strategy that constantly adjusts to volatility and avoids of most whipsaws; rapidly moves up or down according to a quickly changing market. Great strategy for high volatile markets, like crypto market.
Based on a couple of special moving averages with integrated smoother which helps to avoid whipsaws.
Backtesting
Backtested on BTCPERP ( FTX ). It shows much better results on 4h timeframe (more than 222% YTD) and relatively low drawdown which allows you to use up to x3 leverage without a fear of huge losses. I.e if we have 5% drawdown for this strategy and using x3 leverage then to be prepared to 15% drawdown maximum in this case.
Initial Capital: $1000
Capital per trade: $1000
Including fee: 0.075% (buy + sell) side, type "taker"
When we get a signal (green/red column on chart) algo opens a trade by the next candle open price.
Others:
Risk management: Stop loss/Take profit in %
Strategy doesn't repaint .
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To access: sign up on FTX using ref link from my signature.
PD Crypto Performer PRO (Backtest)Description:
This is the backtesting version of the PD Crypto Performer Pro (Alert) . You can choose to backtest either one of the two strategies included, a trend-identifying swing strategy and a low risk scalping strategy. Both strategies assume the same capital amount invested ($10,000) each trade. You can also see how your capital grows over time by enabling the reinvesting proceeds option. For details, please check out this tutorial .
The backtesting results could be easily improved in live trading by utilizing the “Take Profit” signals and following the recommended methods of use below.
To assist the decision-making process, the code currently references BTCUSD. As a result, it is only suitable for crypto traders. However, we are working on the stock and forex versions, and the Performer will have these compatibilities soon.
Most importantly, our signals DO NOT REPAINT !
Recommended Use:
- Time Frame: 1HR
- Asset: Large cap crypto assets.
For lower risk tolerance, we recommend using the indicator on ETHUSD. For maximizing profits, we recommend using the indicator on BCHUSD.
- Always set stop loss according to your own risk tolerance
- Take profits along the way. Check out this video tutorial for when to reenter after our take profit signals.
Recommended Use for Advanced Traders:
- Position sizing:
Larger position if the 1HR signal is in the same direction compared to the 4HR trend.
Smaller position if the 1HR signal is in the opposite direction compared to the 4HR trend.
- Better entry/exit points:
Track the 1HR signal for the asset you are trading on other exchanges along with the BTCUSD 1HR signal. Sometimes, the signals from different exchanges occur with a 1-2 hour difference. You could use these earlier signals along with a lower time frame (eg. 15min) entry confirmation from your own exchange for better entry / exit points.
- Use “Take Profit” signals for counter trend scalps. Recover at the reentering opportunities . This works best with candlestick pattern confirmations.
Never use this if you suspect a flag / inverted flag pattern is forming.
Go to www.phi-deltalytics.com and sign up for a FREE trial today!
Let us know if you have any questions or recommendations. We are here for your success!
Disclaimer:
It should not be assumed that the methods, techniques, or indicators presented will be profitable or that they will not result in losses. Past results are not necessarily indicative of future results. This is not a solicitation of any order to buy or sell.
PD Crypto Performer (Backtest)Description:
This is the backtesting version of the PD Crypto Performer (Alert) . The strategy assumes the same capital amount invested ($10,000) each trade. You can also see how your capital grows over time by enabling the reinvesting proceeds option. For details, please check out this tutorial . The backtesting results could be easily improved in live trading by following the recommended methods of use below.
To assist the decision-making process, the code currently references BTCUSD. As a result, it is only suitable for crypto traders. However, we are working on the stock and forex versions, and the Performer will have these compatibilities soon.
Most importantly, our signals DO NOT REPAINT !
Recommended Use:
- Time Frame: 1HR
- Asset: Large cap crypto assets.
For lower risk tolerance, we recommend using the indicator on ETHUSD. For maximizing profits, we recommend using the indicator on BCHUSD.
- Always set stop loss according to your own risk tolerance
- Take profits along the way.
Recommended Use for Advanced Traders:
- Position sizing:
Larger position if the 1HR signal is in the same direction compared to the 4HR trend.
Smaller position if the 1HR signal is in the opposite direction compared to the 4HR trend.
- Better entry/exit points:
Track the 1HR signal for the asset you are trading on other exchanges along with the BTCUSD 1HR signal. Sometimes, the signals from different exchanges occur with a 1-2 hour difference. You could use these earlier signals along with a lower time frame (eg. 15min) entry confirmation from your own exchange for better entry / exit points.
Go to www.phi-deltalytics.com and sign up for a FREE trial today!
Let us know if you have any questions or recommendations. We are here for your success!
Disclaimer:
It should not be assumed that the methods, techniques, or indicators presented will be profitable or that they will not result in losses. Past results are not necessarily indicative of future results. This is not a solicitation of any order to buy or sell.
Directional Momentum Flux StrategyDirectional Momentum Flux (DMF) is a compound indicator designed to surface signals of projected change in directional momentum. The primary goal is to identify possible momentum inflection points and signal them before they happen, which is reached by applying a set of well-known high-level indicators (e.g. DEMA, RSIs, CCIs and VWAP), lower-level indicators (e.g. BOP, PPO and RMOMO), and some special sauce brewed in-house by yours truly.
This strategy is invite-only. Invitations are offered for a one-time fee of $250 payable in several cryptocurrencies (ETH, BTC, DASH, XMR or ZEC). Once you've got an invitation, you will automatically receive updates forever*.
DMF was designed to work across multiple asset classes. Extensive backtesting has been performed over multiple sample series (not just during the bull runs, for example) and against a randomized pool of assets. But don't take my word for it, I've included some time-based backtesting support tools to make it easy-peasy for you to validate the results yourself!
Under the hood, DMF is powered by numerous indicators, including:
✓ Double EMA & Composite SMA;
✓ Double RSI (fast & slow, variable);
✓ Composite StochRSI & VWAP (StochRSI+, two series);
✓ Composite Commodity Channel Index (CCI+, two series);
✓ Volume-Weighted Balance of Power (BOP itself was adapted from BOP_LB, kudos to LazyBear);
✓ Percentage Price Oscillator (PPO, split, two series);
✓ Range-adjusted Momentum Oscillator (RMOMO, my fancy MOM variant);
It crunches all that data and generates signals which are issued in two ways:
✓ Vertical Bands (or VBs) - Entry/Exit windows as vertical bands that remain "lit" (e.g. the background of a series of candles is semi-opaque white) while the top-level signals are showing sufficiently strong BUY signals. These windows are the primary entry/exit targets and can be relied upon with sufficient risk mitigation (e.g. a reasonable stop-loss or other scale-out exit mechanism). A VB followed immediately by an egg is as good as gold.
✓ Eggs - Entry/Exit validation signals that confirm the condition indicated by VBs. A lit VB without an egg in the same or next candle session is considered to be valid , but not safe (see above warning). Waiting for an egg can improve performance at the risk of missing the best possible entry point. Consider your risk tolerance and act accordingly.
Basic Instructions:
✓ Configure The Settings! The defaults are pretty good, but don't be scared to try variations. For example, by default SHORT positions are disabled. You might want to enable them if your risk tolerance allows them. (IMO there's gold on both ends of the rainbow. 🌈)
✓ Pay attention to the VBs. If you see a lit band being placed in an otherwise dark area, it's a projected inflection point. This is expected to be validated and confirmed in the same or immediately following period with an egg. You can enter a LONG position at this time.
✓ Pay attention to the eggs. If you see an egg, it's a confirmation that the VB changes in the same or immediately preceding candle period is valid. If you did not enter or exit your position at the point of the VB shift, now is the time to do so.
✓ Watch for the end of a VB period and be prepared to exit your position quickly as the next egg may be accompanied by a large directional momentum inflection.
Things to Note:
📉 - DMF is designed for day trading with aggressive position TTLs (15m was the upper bound during development and strategy testing). It appears to issue valid signals for other intervals, but it was not designed for >15m and YMMV. Don't go manually opening a LONG with no exit strategy and go to sleep... it probably won't work out to your benefit. You should be prepared to exit positions at any time. (Pro tip: automation is your friend!)
💸 - DMF indicator is not free from risk. As with all investment strategies, it is crucial to exercise caution and only trade with funds you are comfortable losing. DMF does not offer any form of guarantee or warranty, implied or otherwise. If you lose money, your house, your 401K... that's on you. (Pro tip: don't risk anything you're not ready to lose, because losses are part of the game and you WILL have them.)
🤔 - By using this indicator, you understand that any and all risks are the sole and complete responsibility of the end user (yeah, that's you). Don't use it if you're not 100% clear that you know exactly what you're doing. (Pro tip: always ask questions if you're feeling confused.)
⏱ - * Forever in this context means that, where room for improvement exists, I will improve it over time and you'll get all updates until I stop making them. (Pro tip: nobody lives forever.)
Megalodon Pro Automated Shorter Term Trader BacktesterSTRATEGY
When to buy: Green bar - Orange bar Closes
When to sell: Purple bar closes
Stop to trailing: No
Stop loss: No
Commission Rate: 1%
Willing to risk per trade: 10%
Maximum possible trades in one direction: 10
RESULTS
Net Profit without 1% commission: 112.64%
Net Profit with 1% commission: 103.92%
Starting Balance: $100,000
Profits Made: $103,918.38
New Balance with 1% commission: $203,918.38
Dates traded: 3/17/2019 and 8/3/2019
Total Close Trades: 80
Percent Profitable: 98.75%
Profit Factor: 152.158
Max Drawdown: 0.35% - $745.14
Buy & Hold Return: 174.66%
Commission Paid: $9621.46
Total Open Trades: 10
Number of Winning Trades: 79
Number of Losing Trades: 1
Avg Win Trade: 1.33%
Avg. Lose Trade: 0.92%
Largest Win Trade: 2.77%
Let me know what you guys think about the results?
Due to the tradingview's limitations on providing the shorter time frame price data, we had to provide a 60 minute time frame backtesting results.
The shorter time frames including 1 minute and 15 minutes backtesting results are way more accurate and precise than 60 minutes time frame results.
Megalodon Trading
Enlightening the Modern Investors
15MEX Momentum ScalperAlpha product project in development. Uses a combination of MACD and T3-CCI with tweaked settings to catch directional momentum and scalp a small move. Strategy is quantity of trades over quality of trades to build profits.
Use this strategy for 15-min Bitmex scalping on XBT contracts only. Recommend 100k contract size or less; backtested with 100k contracts.
Market enter, then use post-only limit exits and stop losses.
Setting is pre-optimized for 0.5% tp target and 0.5% sl of entry price. Recommend default 3 bars as basis for confirming recent MACD crossover as well as default 0.618 Fibonacci ratio as the T3-CCI basis.
Default risk level setting is approximately 2-3 trades a day. You can double the amount to 4-5 trades a day by enabling Aggressive mode. This may lead to larger profits and more entries, but with more frequent stop losses.
Future version will include trailing TPs/stops. Still undergoing optimization and refinement.
RePaNoCHa [Backtest]This is a very long script and adjusting the settings can be a bit slow so I share some settings. (these may be even better)
It has no security() and no Heikin Ashi so no repaint and Backtest is real.
It's important to adjust correctly the tics/pips correction.
All timeframes but good results at 2H
Default settings for ETHUSD (BITMEX) 2H
Alerts version coming soon...
Enjoy!!!
"Este script es la repanocha"
XBTUSD (BITMEX)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 8
T3 Volume Factor = 0.9
Range Filter+ADX == true
Sampling Period = 16
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 10
ADX Threshold = 20
Parabolic SAR == true
SAR start = 0.03
SAR inc = 0.02
SAR max = 0.3
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.2
Trailing Stop Offset % (when profit=10 %) = 1.2
Stop Loss = 3.2
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
ETHUSD (BITMEX)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 6
T3 Volume Factor = 0.7
Range Filter+ADX == true
Sampling Period = 10
Range Multiplier = 0.9
Flat Market Trades == true
ADX lenght = 11
ADX Threshold = 19
Parabolic SAR == true
SAR start = 0.06
SAR inc = 0.07
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss = 3.2
Tics/Pips Correction = 100
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
BNBUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 == true
T3 Length = 6
T3 Volume Factor = 0.7
Range Filter+ADX == true
Sampling Period = 17
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 5
ADX Threshold = 18
Parabolic SAR == true
SAR start = 0.04
SAR inc = 0.03
SAR max = 0.25
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 10000
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
LTCUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 11
Range Multiplier = 1.1
Flat Market Trades == true
ADX lenght = 6
ADX Threshold = 22
Parabolic SAR == true
SAR start = 0.07
SAR inc = 0.04
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 100
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
TRXUSDT (BINANCE)
Timeframe = 2H
Position Side = LONG
Source = hlc3
T3 == true
T3 Length = 7
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 8
Range Multiplier = 1.1
Flat Market Trades == true
ADX lenght = 4
ADX Threshold = 22
Parabolic SAR == true
SAR start = 0.07
SAR inc = 0.04
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.5
Trailing Stop Offset % (when profit=0.5 %) = 0.25
Trailing Stop Offset % (when profit=10 %) = 1.5
Stop Loss == false
Tics/Pips Correction = 100000
Initial Capital = 1000
Quantity = 100 %
Commission value = 0.075 %
NAS100 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 12
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 18
ADX Threshold = 21
Parabolic SAR == true
SAR start = 0.08
SAR inc = 0.06
SAR max = 0.25
Pyramiding = 15
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.15
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss == false
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 3 contracts
Commission value = 0.2 USD per contract
NATGAS(OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1
Range Filter+ADX == true
Sampling Period = 15
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 12
ADX Threshold = 21
Parabolic SAR == true
SAR start = 0.08
SAR inc = 0.06
SAR max = 0.4
Pyramiding = 15
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.15
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss == false
Tics/Pips Correction = 1000
Initial Capital = 1000
Quantity = 4500 contracts
Commission value = 0.002 USD per contract
SPX500 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 4
T3 Volume Factor = 0.8
Range Filter+ADX == true
Sampling Period = 14
Range Multiplier = 1.3
Flat Market Trades == true
ADX lenght = 12
ADX Threshold = 17
Parabolic SAR == true
SAR start = 0.09
SAR inc = 0.04
SAR max = 0.2
Pyramiding = 15
Trailing Stop Activation % = 0.15
Trailing Stop Offset % (when profit=0.5 %) = 0.1
Trailing Stop Offset % (when profit=10 %) = 0.5
Stop Loss = 1.5
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 8 contracts
Commission value = 0.2 USD per contract
US30 (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 4
T3 Volume Factor = 0.9
Range Filter+ADX == true
Sampling Period = 11
Range Multiplier = 1.1
Flat Market Trades == true
ADX lenght = 16
ADX Threshold = 24
Parabolic SAR == true
SAR start = 0.08
SAR inc = 0.03
SAR max = 0.05
Pyramiding = 15
Trailing Stop Activation % = 0.15
Trailing Stop Offset % (when profit=0.5 %) = 0.075
Trailing Stop Offset % (when profit=10 %) = 0.5
Stop Loss = 1.5
Tics/Pips Correction = 10
Initial Capital = 1000
Quantity = 1 contracts
Commission value = 1.5 USD per contract
WHEAT (OANDA)
Timeframe = 2H
Position Side = BOTH
Source = hlc3
T3 == true
T3 Length = 3
T3 Volume Factor = 1.1
Range Filter+ADX == true
Sampling Period = 12
Range Multiplier = 0.9
Flat Market Trades == true
ADX lenght = 13
ADX Threshold = 21
Parabolic SAR == true
SAR start = 0.1
SAR inc = 0.05
SAR max = 0.15
Pyramiding = 15
Trailing Stop Activation % = 0.2
Trailing Stop Offset % (when profit=0.5 %) = 0.1
Trailing Stop Offset % (when profit=10 %) = 1
Stop Loss = 2.5
Tics/Pips Correction = 1000
Initial Capital = 1000
Quantity = 2500 contracts
Commission value = 0.003 USD per contract
Bedrock Bot - BTCUSD 30m Scalper BotBedrock Bot trades on BTCUSD charts and is a high frequency scalper bot - for those that like a little more action.
The strategy was developed for use on more recent market conditions - smaller trends within larger sideways ranges. It will work in trends as well. It is made for quick take profits and tight stop losses to maximize overall profit and minimize losses (check out the win ratio and downdraw results). It does not trade on the weekends as much of the volume is now weekday based.
Backtest results look great and we have been running this bot on live markets as well in forward testing with profit results.
These live tests were done exclusively on BitMex and by using automation on Crypto Bots Hub . Monthly returns have been around 8% - you may think this doesn't sound amazing but understand compound interest and do check out the win percentage and downdraw. In these sideways markets, this can keep building your profits slow and steady with minimal risk.
The bot controls entries, stop losses, and take profits as part of the code.
Message me on information to get free access.
Bollinger + RSI, Double Strategy (by ChartArt)Bollinger Bands + RSI, Double Strategy
This strategy uses a slower RSI with period 16 to sell when the RSI increases over the value of 55 (or to buy when the value falls below 45), with the classic Bollinger Bands strategy to sell when the price is above the upper Bollinger Band and falls below it (and to buy when the price is below the lower band and rises above it). This strategy only triggers when both the RSI and the Bollinger Bands indicators are at the same time in the described overbought or oversold condition. In addition there are color alerts which can be deactivated.
This basic strategy is based upon the "RSI Strategy" and "Bollinger Bands Strategy" which were created by Tradingview and uses no money management like a trailing stop loss and no scalping methods. Every win/loss trade is simply counted from the last overbought/oversold condition to the next one.
This strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
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.
RangeSuper Pro – Vivid Violet & Electric Style
🚀RangeSuper Pro – Electric Style
RangeSuper VIOLET – Advanced Trend & Range Filter Strategy for TradingView
The RangeSuper VIOLET indicator combines a modern range filter and SuperTrendlogic, visually enhanced with vivid green and violet bands for clear trend identification. This tool is designed for active traders who want to capture both breakout and trend-following opportunities on indices like NIFTY.
Features:
• Detects high-probability LONG and SHORT setups with color-coded bands.
• “BIG TARGET” labels highlight major combined signals; small labels mark scalp entries.
• Adaptive bands change color with market conditions (green for bullish, violet for bearish).
• Built-in scalp strategy with automatic TP/SL (Take Profit/Stop Loss) management.
• Comprehensive performance stats, including profit factor, equity curve, and drawdown, are available via the TradingView strategy tester.
How to Use:
Use on 15-minute or higher timeframes for best results.
Follow the visual signals and labels for potential trade entries and exits.
Review performance and trade analysis in the built-in strategy tester.
For access or questions, request an invite or contact the developer directly. Unlock smarter trend trading with RangeSuper VIOLET!
📌 **Important Notes:**
- 🟢 Signals are real-time & backtest-matching (normal 1–2 pt slippage can occur its normal )
- 🧪 This tool has been **extensively tested**, and results shown are from actual backtests on TradingView
🔒 Access is invite-only for quality control
⚠️ Disclaimer:
Shared for learning and research purposes only. Not financial advice. Past educational results don't guarantee future outcomes. Trading involves risk of loss. We are not SEBI registered.
Three-Step 9:30 Range Scalping# Three-Step 9:30 Range Scalping Strategy Rules
## Step 1: Mark the Levels (9:30 AM)
- Wait for the **first 5-minute candle** starting at 9:30 AM EST to close
- Mark the **HIGH** and **LOW** of this candle
- Switch to **1-minute chart** for trading
## Step 2: Find Your Entry (Trade for 1 hour only: 9:30-10:30 AM)
### BREAK Entry
- Need: **Fair Value Gap (FVG)** + **ANY** of the 3 FVG candles closes outside the range
- FVG = Gap between candle wicks (3-candle pattern)
### TRAP Entry
- Need: Break outside range → Retest back inside → Close back outside again
### REVERSAL Entry
- Need: Failed break in one direction → Opposite FVG back into the range
## Step 3: Trade Management
### Stop Loss:
- **Break/Trap**: Low/High of first candle that closed outside the range
- **Reversal**: Low/High of first candle in the FVG pattern
### Take Profit:
- **Always 2:1 risk-to-reward ratio**
- If you risk $100, you make $200
## Key Rules:
- ✅ **Body close** outside range (not just wicks)
- ✅ Trade on **1-minute chart** only
- ✅ Only trade **first hour** (9:30-10:30 AM EST)
- ✅ **Fixed 2:1** take profit every time
- ✅ One strategy, stay consistent
**That's it. No complicated indicators, no higher timeframe bias, no guesswork.**
Supertrend Strategy with ATR TP and SLSupertrend Strategy with ATR TP and SL
Overview
The Supertrend strategy is a trend-following trading system that utilizes the Average True Range (ATR) to determine the market's volatility and to set dynamic support and resistance levels. This strategy employs the Supertrend indicator to identify entry and exit points for trades, specifically focusing on long and short positions in the market.
Key Components
Inputs
ATR Period: This defines the lookback period for calculating the ATR, which helps in understanding market volatility. The default value is set to 10.
Supertrend Multiplier: This multiplier adjusts the sensitivity of the Supertrend indicator. A value of 3 is used, affecting the upper and lower bands of the Supertrend calculation.
TP (Take Profit) ATR Multiplier: This multiplier is used to calculate the take profit level based on the ATR (default value is 3).
SL (Stop Loss) ATR Multiplier: This multiplier dictates the stop loss distance from the entry point concerning the ATR, set to a value of 1.5.
Number of Bars to Use for Backtest: This setting determines how many bars are analyzed during testing, set to a default of 240.
Trading Mode: Options are provided to choose whether to take only long positions or only short positions.
ATR Calculation
The ATR is computed using a specified period, allowing traders to gauge market volatility effectively. This is crucial for setting appropriate stop loss and take profit levels.
Supertrend Calculation
The Supertrend indicator is calculated using the ATR and the multiplier to derive upper and lower bands. The current market price is compared against these bands to determine the trend direction.
Trade Signals
Buy Signal: Generated when the price closes above the Supertrend line, indicating a potential upward trend.
Sell Signal: Generated when the price closes below the Supertrend line, indicating a potential downward trend.
Entry and Exit Strategies
When a buy signal is triggered, the strategy will enter a long position while setting the take profit and stop loss based on the ATR values.
Conversely, if a sell signal occurs, a short position is opened with respective take profit and stop loss levels.
Alert Conditions
Alerts are set up for both buy and sell signals, allowing users to be notified when trade opportunities arise.
Visualization
The Supertrend line is plotted on the chart, along with take profit and stop loss levels for each trade. Labels indicate entry points to facilitate easy tracking of trades.
Conclusion
This Supertrend strategy is designed to simplify trading decisions by automating the entry and exit points based on well-defined market conditions. By utilizing the ATR for dynamic risk management, traders can adapt their approach according to market volatility. This strategy is suitable for many trading styles and can be backtested to assess its performance across different market conditions.
Usage
To use this strategy, simply apply the script in TradingView and adjust the input parameters based on your trading preferences. The strategy can be modified further to enhance its performance according to specific market scenarios.
Vesperis v8.1 by JaeheeVesperis v8.1 by Jaehee
Overview
This script is a short-side trading strategy designed for trend-following conditions where bearish momentum aligns across multiple independent filters. It does not aim to predict tops or bottoms. Instead, it waits for confirmation that the market has entered a strong downtrend and then manages trades with structured risk controls.
Core Components
The strategy combines several classical concepts but applies them in a multi-filter consensus framework to reduce false signals:
• SSL Hybrid Filter → Defines directional bias using an EMA-based signal line
• MOBO Bands (modified Bollinger framework) → Measures volatility compression and breakout expansion
• EMA 20/50/100 Alignment → Confirms bearish structure when shorter averages remain under longer ones
• ADX Strength Gate → Trades are permitted only when trend strength (Wilder’s ADX) is above a chosen threshold
• Heikin Ashi Smoothing → Provides visual clarity and reduces noise in trend recognition
• Cooldown Rule → After a losing trade, the system waits a configurable number of bars before re-entry to enforce discipline
Risk Management
• Take-Profit (TP) and Stop-Loss (SL) are dynamically attached to each entry
• TP and SL are ratio-based relative to the entry price
• Cooldown logic prevents immediate re-entries after losses
• Position sizing is based on percentage of equity, with commissions factored in for realistic simulation
Visualization
• EMA 20/50/100 ribbon with soft gradient colors
• MOBO band plotted with contrasting tones for clarity
• SSL baseline overlay
• ADX values displayed every 10 bars for contextual strength
• Background shading highlights bullish vs bearish trend regimes
• Heikin Ashi candle coloring for directional bias emphasis
Why This Combination?
Each component addresses a different market dimension:
• Direction (SSL, EMA alignment)
• Volatility & Breakout Context (MOBO Bands)
• Strength (ADX filter)
• Trade Discipline (Cooldown rule)
When layered together, they reduce the chance of acting on a single misleading condition. For example, a close under MOBO support is acted upon only if ADX confirms strong momentum and EMA structure validates a broader bearish regime. This multi-gate approach balances selectivity with responsiveness, aiming for consistent entries during trending phases rather than over-trading in sideways conditions.
Important Notes
• This script is a strategy, not just an indicator. It performs backtestable entries and exits within TradingView’s framework
• Default properties include realistic assumptions: commission, slippage approximation, and percentage-based position sizing
• Results will vary by market and timeframe; this tool does not guarantee outcomes and should be combined with independent risk management
• Invite-only access ensures controlled distribution
Compliance with TradingView House Rules
• No external links, promotions, or contact information
• Clear explanation of what, how, and why without revealing full code logic
• Highlights originality: consensus-based filter design with combined ADX, SSL, MOBO, EMA gating
• Provides conceptual and educational value to traders while remaining distinct from classic single-element scripts
Day Trading Strategy (With Risk Management)This is a day trading strategy based on fast and slow EMA crossovers combined with RSI filtering to enhance trade accuracy. Designed for intraday use, it generates buy signals when the fast EMA crosses above the slow EMA and sell signals when it crosses below, but only if the RSI confirms momentum is favorable to avoid false entries in choppy markets.
The strategy includes built-in risk management with configurable stop-loss and take-profit levels set at 1% by default, helping to limit losses and secure profits quickly within the trading day. Clear buy and sell signals are plotted on the chart, and alerts notify traders in real time when trading opportunities arise.
Ideal for short-term traders, this system provides a disciplined, mechanical approach to capturing intraday trends with momentum confirmation and essential risk controls. It is fully customizable to fit different day trading instruments, timeframes, and risk appetites.
BTC 1m Chop Top/Bottom Reversal (Stable Entries)Strategy Description: BTC 5m Chop Top/Bottom Reversal (Stable Entries)
This strategy is engineered to capture precise reversal points during Bitcoin’s choppy or sideways price action on the 5-minute timeframe. It identifies short-term tops and bottoms using a confluence of volatility bands, momentum indicators, and price structure, optimized for high-probability scalping and intraday reversals.
Core Logic:
Volatility Filter: Uses an EMA with ATR bands to define overextended price zones.
Momentum Divergence: Confirms reversals using RSI and MACD histogram shifts.
Price Action Filter: Requires candle confirmation in the direction of the trade.
Locked Signal Logic: Prevents repaints and disappearing trades by confirming signals only once per bar.
Trade Parameters:
Short Entry: Above upper band + overbought RSI + weakening MACD + bearish candle
Long Entry: Below lower band + oversold RSI + strengthening MACD + bullish candle
Take Profit: ±0.75%
Stop Loss: ±0.4%
This setup is tuned for traders using tight risk control and leverage, where execution precision and minimal drawdown tolerance are critical.
Breakouts With DXY Filter Strategy [LuciTech]This advanced breakout strategy combines pivot-based breakout detection with an innovative DXY (US Dollar Index) inverse correlation filter to enhance trade selection quality. The strategy identifies breakouts from recent pivot highs and lows while using DXY movements as a confirmation filter, based on the principle that USD strength/weakness often inversely correlates with other asset movements.
Key Features
Core Breakout Logic
- Pivot-Based Detection: Identifies breakouts above recent pivot highs (bullish) and below recent pivot lows (bearish)
- Customizable Lookback: Adjustable pivot length for different market conditions
- Visual Breakout Lines: Optional display of breakout levels with customizable colors
DXY Inverse Correlation Filter
- Smart USD Filter: Uses DXY movements to confirm breakout signals
- Inverse Logic: Long signals require DXY bearishness, short signals require DXY bullishness
- Threshold Control: Minimum DXY movement percentage required for signal confirmation
- Real-time DXY Data: Pulls live DXY data for accurate correlation analysis
Moving Average Filter
- Multiple MA Types: Support for SMA, EMA, WMA, VWMA, and HMA
- Trend Confirmation: Only takes trades in the direction of the selected moving average
- Customizable Parameters: Adjustable length and source for the moving average
Advanced Risk Management
- Multiple Stop Loss Types:
- ATR-based stops with customizable multiplier
- Candle-based stops using previous candle levels
- Fixed point-based stops
- Risk-Reward Optimization: Configurable risk-reward ratios (1:1 to 1:10)
- Breakeven Function: Automatic stop loss adjustment to breakeven after specified R-multiple
- Position Sizing: Percentage-based risk management with automatic position calculation
Time-Based Trading
- Session Filter: Trade only during specified time windows
- London Time Zone: Uses Europe/London timezone for consistency
- Visual Session Highlighting: Optional background fill for active trading hours
Alert System
- Webhook Integration: JSON-formatted alerts for automated trading
- Telegram Support: Pre-formatted messages for Telegram bot integration
- Multiple Formats: Standard, Telegram, and Concise Telegram alert options
- Real-time Notifications: Instant alerts on breakout signals
How It Works
1. Breakout Detection: The script continuously monitors for closes above recent pivot highs or below recent pivot lows
2. DXY Confirmation: When a breakout occurs, the script checks if DXY is moving in the opposite direction with sufficient momentum
3. MA Filter: If enabled, ensures the breakout aligns with the overall trend direction
4. Time Filter: Validates that the signal occurs within the specified trading hours
5. Risk Calculation: Automatically calculates position size based on the defined risk percentage and stop loss distance
6. Trade Execution: Places trades with predetermined stop loss and take profit levels
Unique Advantages
- Multi-Timeframe Approach: Combines asset-specific breakouts with broader USD market sentiment
- False Breakout Reduction: DXY filter helps eliminate breakouts that lack fundamental backing
- Comprehensive Risk Management: Multiple stop loss methods and automatic position sizing
- High Customization: Extensive parameters for different trading styles and market conditions
- Professional Alert System: Ready for automated trading integration
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.
Strategi FVG 09:31 (Pro)FVG 09:31 Strategy (Pro)
In short, this is an automated trading strategy (bot) for TradingView designed to execute buy or sell orders based on a Fair Value Gap (FVG) pattern. The strategy is highly specific, as it only triggers on the 1-minute timeframe and looks for an FVG that forms precisely at 09:32 AM New York time.
Main Purpose of the Strategy
The primary goal of this script is to identify and capitalize on short-term price imbalances, known as Fair Value Gaps (FVGs). It operates during a specific, high-volatility window right after the U.S. stock market opens, often referred to by traders as the "Silver Bullet" session. By automating the detection and execution, it aims to trade these fleeting opportunities with precision.
How the Strategy Works
The strategy follows a clear, step-by-step logical flow on your chart.
1. Time & Timeframe Restriction
1-Minute Timeframe: The strategy is hard-coded to work only on the 1-minute (1m) chart. A warning label will appear on your chart if you apply it to any other timeframe.
Specific Time Window: The core logic activates only between 09:32 and 09:33 AM New York time. It searches for an FVG pattern formed by the three candles from 09:29, 09:30, and 09:31, with the pattern confirmation happening on the close of the 09:31 candle.
2. Fair Value Gap (FVG) Detection
An FVG is a three-candle pattern that signals a price imbalance.
Bullish FVG (Potential Buy): Occurs when the low of the first candle is higher than the high of the third candle. The space between these two prices is the FVG zone.
Bearish FVG (Potential Sell): Occurs when the high of the first candle is lower than the low of the third candle. The space between these two prices is the FVG zone.
If this pattern is detected at the target time, the strategy draws a colored box on the chart to visualize the FVG zone (aqua for bullish, fuchsia for bearish).
3. Entry Logic
The strategy provides two user-selectable methods for entering a trade:
Retracement (Immediate Entry): The strategy will open a position with a market order as soon as the price retraces back into the identified FVG zone.
For a Bullish FVG, a Long (buy) position is opened when the price drops to touch the upper boundary of the FVG.
For a Bearish FVG, a Short (sell) position is opened when the price rises to touch the lower boundary of the FVG.
Limit Order (Pending Entry): The strategy places a pending limit order at the edge of the FVG zone.
For a Bullish FVG, a Buy Limit order is placed at the upper boundary of the FVG.
For a Bearish FVG, a Sell Limit order is placed at the lower boundary of the FVG.
Order Expiration: If the limit order is not filled within a specified number of candles (default is 15), it is automatically canceled to avoid chasing a stale setup.
4. Exit Logic
Once a position is active, the strategy automatically manages the exit by setting a Take Profit (TP) and Stop Loss (SL) level. You can choose between two types:
Ticks (Fixed Points): You define a fixed profit target and loss limit in ticks (the smallest price movement). For example, a 200-tick TP and a 100-tick SL.
Last Swing (Dynamic Levels): The TP and SL are set dynamically based on the most recent swing high or swing low.
For a Long position: Take Profit is set at the last swing high; Stop Loss is at the last swing low.
For a Short position: Take Profit is set at the last swing low; Stop Loss is at the last swing high.
5. Daily Management
At the start of each new trading day, the script performs a reset. All variables, including any FVG data from the previous day, are cleared. This ensures the strategy only acts on fresh signals from the current day and cancels any pending orders from the day before.
Explanation of Settings (Inputs)
Here is what each user-configurable setting does:
Entry Type: Choose your preferred entry method: Retracement or Limit Order.
Order Expiration (Candles): Applies only to the Limit Order type. Sets how many candles an unfilled order will remain active before being canceled.
Stop Loss Type: Choose Ticks for a fixed-distance stop loss or Last Swing for a dynamic level.
Take Profit Type: Choose Ticks for a fixed-distance profit target or Last Swing for a dynamic level.
Pivot Lookback (SL/TP Swing): Defines how many candles the script looks back to identify the most recent swing high/low for the Last Swing SL/TP type.
Contract Size: The quantity or lot size for each trade.
Take Profit (in Ticks): The profit target distance if using the Ticks type.
Stop Loss (in Ticks): The maximum loss distance if using the Ticks type.
DVPOOverview
The DVPO (Dynamic Volume Profile Oscillator) Strategy is a comprehensive and highly customizable trading tool designed for precision and control. It is built around a unique, volume-driven oscillator that identifies potential market entries by analyzing the relationship between price, volume, and volatility.
This strategy is not just another signal generator; it's a complete framework that includes dynamic entry logic, adaptive risk management (ATR Stop Loss and R:R-based Take Profit), and a powerful dashboard of 10+ optional confirmation filters to help you tailor the strategy to your specific instrument, timeframe, and trading style.
The Core Concept: The DVPO Oscillator
The heart of this strategy is the DVPO oscillator. Unlike standard oscillators like RSI or Stochastics, the DVPO's primary goal is to quantify how far the current price has deviated from its recent volume-weighted "fair value."
Here’s how it works conceptually:
Micro Volume Profile: The indicator first analyzes a recent period of bars (defined by Lookback Period) to build a mini-profile of price and volume.
Volume-Weighted Mean: From this profile, it calculates a volume-weighted average price (VWAP) and the average deviation from that mean. This establishes the central point of value for the recent period.
Deviation Measurement: The oscillator's value is derived from how far the current price is from this calculated mean, scaled by the observed price deviation and a user-defined Sensitivity. A value above the midline suggests the price is trading at a premium, while a value below suggests it's at a discount.
Adaptive Volatility Zones: Instead of using fixed overbought/oversold levels (e.g., 70/30), the DVPO calculates dynamic upper and lower zones using the standard deviation of the oscillator itself. These zones expand and contract based on recent market volatility.
An entry signal is triggered not just when the oscillator is "overbought" or "oversold," but when it breaks out of these adaptive volatility zones, signaling that a statistically significant price movement is underway.
📈 Long Entry Condition : The oscillator crosses above the dynamic upper zone.
📉 Short Entry Condition : The oscillator crosses below the dynamic lower zone.
Integrated Risk & Trade Management
A signal is useless without proper risk management. This strategy has professional-grade risk management built directly into its logic.
Stop Loss (ATR-Based): The Stop Loss is not a fixed percentage. It is calculated using the Average True Range (ATR), allowing it to adapt automatically to the market's current volatility. In volatile periods, the stop will be wider; in quiet periods, it will be tighter.
Take Profit (Risk/Reward Ratio): The Take Profit level is calculated based on a user-defined Risk/Reward Ratio. If you set a ratio of 2.0, the Take Profit target will be placed at twice the distance of the Stop Loss from your entry price.
Dynamic Position Sizing: The strategy can automatically calculate the trade quantity for you. It determines the position size based on your specified Capital Size and the % Risk Per Trade you are willing to accept, ensuring disciplined risk control on every trade.
The Filter Dashboard : Enhance Your Signal Quality
To help reduce false signals and adapt to different market conditions, the strategy includes a comprehensive dashboard of optional confirmation filters. An entry signal will only be executed if it aligns with all the filters you have activated.
Trend & Momentum Filters :
T3, VMA, & VWAP Trend Filters: Utilize a suite of advanced moving averages (T3, Variable Moving Average, and a session-based VWAP) to ensure your trades are aligned with the dominant trend.
ADX Filter: Confirms that the market has sufficient directional strength for a trend-following trade, helping to avoid entries during choppy conditions.
Kaufman Efficiency Filter: Uses the Kaufman Efficiency Ratio to measure market noise. It only allows trades when the market is trending efficiently.
Volume & Market State Filters :
Volume Flow (VFI): A sophisticated volume-based filter that confirms whether volume is supporting the price move.
TDFI (Trader's Dynamic Index): A market state indicator designed to identify when the market is primed for a strong, directional move.
Flat Market Detector: A unique filter that identifies and avoids trading in sideways or ranging markets where trend strategies typically underperform.
Trade Condition Filters :
Min TP / Max SL %: Filter out trades where the risk/reward profile doesn't meet your minimum requirements (e.g., ignore a trade if the ATR-based stop loss is more than 10% away from the price).
Session Filters: Allows you to enable or disable trading on specific days of the week and to set a Cooldown Period (a set number of bars to wait after a trade closes before looking for a new entry).
How To Use This Strategy
Start with the Core: Begin by configuring the DVPO Oscillator settings (Lookback Period, Sensitivity, Zone Width) and your Risk Management parameters (ATR Multiplier, RR Ratio, % Risk Per Trade). These form the foundation of the strategy.
Backtest and Observe: Use TradingView's Strategy Tester to see how the core signals perform on your chosen asset and timeframe.
Layer Filters Intelligently: Enable the confirmation filters one by one and re-run your backtest. Observe how each filter impacts performance (e.g., does the T3 filter increase profitability but reduce the number of trades?). The goal is to find the optimal balance between signal quality and frequency.
Visualize and Analyze: Use the Show Risk/Reward Area option to plot your entry, stop loss, and take profit levels directly on the chart for every trade, providing a clear visual representation of your trade plan.
Disclaimer: This strategy is provided for educational and analytical purposes only. Past performance is not indicative of future results. All trading involves risk, and you should conduct your own thorough backtesting and analysis before deploying any strategy in a live market.
Antony.N4A -NQ ORB Quartile Str v6.3Antony.N4A – NQ ORB Quartile Strategy v6.3
A precision-engineered intraday breakout system built for the Nasdaq futures market, combining the Opening Range Breakout (ORB) logic with dynamic standard deviation targets, structural filters, and multi-layer risk management.
🧠 Key Features
Opening Range Breakout (ORB):
Automatically defines a breakout window (default: 09:30–09:45) and triggers entries when price breaks the high or low of that range.
Standard Deviation Profit Targets:
Supports SD0.5, SD1.0, SD1.5, and SD2.0 targets relative to the ORB range.
EMA Filtering (200-period):
Filters trades based on EMA direction and price position to validate breakout direction and avoid false entries.
Range Filtering:
Detects directional bias and volatility trends using smoothed range logic.
Momentum Triggering:
Validates breakout momentum and allows entries when directional momentum is positive and increasing.
⚙️ User Inputs
ORB Settings: Timeframe, session, and timezone customization
Entry Window: Define when trades are allowed to trigger
Day Filters: Enable/disable trading by weekday
SD Targets: Configure exit % and active levels (SD0.5 – SD2.0)
EMA Filter & Sensitivity
Cross Filter (Anti-chop logic)
Range Filter Parameters
Visual Toggles: ORB range, SD levels, EMA clouds
🎯 Trade Management Rules
Entry:
Triggered at the close of a 5-minute candle confirming a breakout of the ORB range.
Stop Loss:
Defined by structural invalidation (quartile boundaries & mid-range buffers).
Take Profit Strategy:
75% closed at SD1.0 level
Remaining 25% trailed to further SD2 target
SL is moved to breakeven after partial exit
Execution Controls:
No pyramiding
No re-entries (cooldown enforced)
🔧 Trading Modes
✅ Safe Mode
EMA Filter: Enabled
EMA Sensitivity: 19
Range Filter: Disabled
Ideal for conservative setups and reduced noise environments
🔥 Aggressive Mode
EMA Filter: Enabled
EMA Sensitivity: 5
Range Filter: Disabled
Suited for high-frequency setups and faster breakouts
📊 Backtest Performance (7-Month Sample)
Safe Mode:
Win Rate: 66%
Total Trades: 29
Net PnL: +21.79R (~$4,357 with R = $200)
Max Red Days: 3
Max Drawdown: -$663
Best Month: +9R, Worst Month: -2R
Aggressive Mode:
Win Rate: 63%
Total Trades: 52
Net PnL: +30R (~$6,080)
Max Red Days: 6
Max Drawdown: -$1,357
Best Month: +12R, Worst Month: -3.2R
👨💻 Developed by Antony.N4A
This tool is crafted for strategic intraday traders, system developers, and backtesters.
For access, customization, or licensing options, contact the developer directly.
Protected script. Redistribution or reuse without permission is prohibited.
ORB 5M + VWAP + Braid Filter + TP 2R o Niveles PreviosORB 5-Minute Breakout Strategy Summary
Strategy Name:
ORB 5M + VWAP + Braid Filter + TP 2R or Previous Levels
Timeframe:
5-minute chart
Trading Window:
9:35 AM to 11:00 AM (New York time)
✅ Entry Conditions:
Opening Range: Defined from 9:30 to 9:35 AM (first 5-minute candle).
Breakout Entry:
Long trade: Price breaks above the opening range high.
Short trade: Price breaks below the opening range low.
Confirmation Filters (All must be met):
Strong candle (green for long, red for short).
VWAP in the direction of the trade.
Braid Filter by Mango2Juice supports the breakout direction (green for long, red for short).
📉 Stop Loss:
Placed at the opposite side of the opening range.
🎯 Take Profit (TP):
+2R (Risk-to-Reward Ratio of 2:1),
or
Closest of the following: previous day’s high/low or premarket levels.
⚙️ Additional Rules:
Only valid signals between 9:35 and 11:00 AM.
Only one trade per breakout direction per day.
Filter out "trap candles" (very small or indecisive candles).
Avoid trading after 11:00 AM.
📊 Performance Goals:
Maintain a high Profit Factor (above 3 ideally).
Focus on tickers with good historical performance under this strategy (e.g., AMZN, PLTR, CVNA).
