Fibonacci-Only Strategy V2Fibonacci-Only Strategy V2
This strategy combines Fibonacci retracement levels with pattern recognition and statistical confirmation to identify high-probability trading opportunities across multiple timeframes.
Core Strategy Components:
Fibonacci Levels: Uses key Fibonacci retracement levels (19% and 82.56%) to identify potential reversal zones
Pattern Recognition: Analyzes recent price patterns to find similar historical formations
Statistical Confirmation: Incorporates statistical analysis to validate entry signals
Risk Management: Includes customizable stop loss (fixed or ATR-based) and trailing stop features
Entry Signals:
Long entries occur when price touches or breaks the 19% Fibonacci level with bullish confirmation
Short entries require Fibonacci level interaction, bearish confirmation, and statistical validation
All signals are visually displayed with color-coded markers and dashboard
Trading Method:
When a triangle signal appears, open a position on the next candle
Alternatively, after seeing a signal on a higher timeframe, you can switch to a lower timeframe to find a more precise entry point
Entry signals are clearly marked with visual indicators for easy identification
Risk Management Features:
Adjustable stop loss (percentage-based or ATR-based)
Optional trailing stops for protecting profits
Multiple take-profit levels for strategic position exit
Customization Options:
Timeframe selection (1m to Daily)
Pattern length and similarity threshold adjustment
Statistical period and weight configuration
Risk parameters including stop loss and trailing stop settings
This strategy is particularly well-suited for cryptocurrency markets due to their tendency to respect Fibonacci levels and technical patterns. Crypto's volatility is effectively managed through the customizable stop-loss and trailing-stop mechanisms, making it an ideal tool for traders in digital asset markets.
For optimal performance, this strategy works best on higher timeframes (30m, 1h and above) and is not recommended for low timeframe scalping. The Fibonacci pattern recognition requires sufficient price movement to generate reliable signals, which is more consistently available in medium to higher timeframes.
Users should avoid trading during sideways market conditions, as the strategy performs best during trending markets with clear directional movement. The statistical confirmation component helps filter out some sideways market signals, but it's recommended to manually avoid ranging markets for best results.
Pesquisar nos scripts por "scalping"
MACD Aggressive Scalp SimpleComment on the Script
Purpose and Structure:
The script is a scalping strategy based on the MACD indicator combined with EMA (50) as a trend filter.
It uses the MACD histogram's crossover/crossunder of zero to trigger entries and exits, allowing the trader to capitalize on short-term momentum shifts.
The use of strategy.close ensures that positions are closed when specified conditions are met, although adjustments were made to align with Pine Script version 6.
Strengths:
Simplicity and Clarity: The logic is straightforward and focuses on essential scalping principles (momentum-based entries and exits).
Visual Indicators: The plotted MACD line, signal line, and histogram columns provide clear visual feedback for the strategy's operation.
Trend Confirmation: Incorporating the EMA(50) as a trend filter helps avoid trades that go against the prevailing trend, reducing the likelihood of false signals.
Dynamic Exit Conditions: The conditional logic for closing positions based on weakening momentum (via MACD histogram change) is a good way to protect profits or minimize losses.
Potential Improvements:
Parameter Inputs:
Make the MACD (12, 26, 9) and EMA(50) values adjustable by the user through input statements for better customization during backtesting.
Example:
pine
Copy code
macdFast = input(12, title="MACD Fast Length")
macdSlow = input(26, title="MACD Slow Length")
macdSignal = input(9, title="MACD Signal Line Length")
emaLength = input(50, title="EMA Length")
Stop Loss and Take Profit:
The strategy currently lacks explicit stop-loss or take-profit levels, which are critical in a scalping strategy to manage risk and lock in profits.
ATR-based or fixed-percentage exits could be added for better control.
Position Size and Risk Management:
While the script uses 50% of equity per trade, additional options (e.g., fixed position sizes or risk-adjusted sizes) would be beneficial for flexibility.
Avoid Overlapping Signals:
Add logic to prevent overlapping signals (e.g., opening a new position immediately after closing one on the same bar).
Backtesting Optimization:
Consider adding labels or markers (label.new or plotshape) to visualize entry and exit points on the chart for better debugging and analysis.
The inclusion of performance metrics like max drawdown, Sharpe ratio, or profit factor would help assess the strategy's robustness during backtesting.
Compatibility with Live Trading:
The strategy could be further enhanced with alert conditions using alertcondition to notify the trader of buy/sell signals in real-time.
TrippleMACDCryptocurrency Scalping Strategy for 1m Timeframe
Introduction:
Welcome to our cutting-edge cryptocurrency scalping strategy tailored specifically for the 1-minute timeframe. By combining three MACD indicators with different parameters and averaging them, along with applying RSI, we've developed a highly effective strategy for maximizing profits in the cryptocurrency market. This strategy is designed for automated trading through our bot, which executes trades using hooks. All trades are calculated for long positions only, ensuring optimal performance in a fast-paced market.
Key Components:
MACD (Moving Average Convergence Divergence):
We've utilized three MACD indicators with varying parameters to capture different aspects of market momentum.
Averaging these MACD indicators helps smooth out noise and provides a more reliable signal for trading decisions.
RSI (Relative Strength Index):
RSI serves as a complementary indicator, providing insights into the strength of bullish trends.
By incorporating RSI, we enhance the accuracy of our entry and exit points, ensuring timely execution of trades.
Strategy Overview:
Long Position Entries:
Initiate long positions when all three MACD indicators signal bullish momentum and the RSI confirms bullish strength.
This combination of indicators increases the probability of successful trades, allowing us to capitalize on uptrends effectively.
Utilizing Linear Regression:
Linear regression is employed to identify consolidation phases in the market.
Recognizing consolidation periods helps us avoid trading during choppy price action, ensuring optimal performance.
Suitability for Grid Trading Bots:
Our strategy is well-suited for grid trading bots due to frequent price fluctuations and opportunities for grid activation.
The strategy's design accounts for price breakthroughs, which are advantageous for grid trading strategies.
Benefits of the Strategy:
Consistent Performance Across Cryptocurrencies:
Through rigorous testing on various cryptocurrency futures contracts, our strategy has demonstrated favorable results across different coins.
Its adaptability makes it a versatile tool for traders seeking consistent profits in the cryptocurrency market.
Integration of Advanced Techniques:
By integrating multiple indicators and employing linear regression, our strategy leverages advanced techniques to enhance trading performance.
This strategic approach ensures a comprehensive analysis of market conditions, leading to well-informed trading decisions.
Conclusion:
Our cryptocurrency scalping strategy offers a sophisticated yet user-friendly approach to trading in the fast-paced environment of the 1-minute timeframe. With its emphasis on automation, accuracy, and adaptability, our strategy empowers traders to navigate the complexities of the cryptocurrency market with confidence. Whether you're a seasoned trader or a novice investor, our strategy provides a reliable framework for achieving consistent profits and maximizing returns on your investment.
The Flower - Multiple Strategy Options in OneStrategy Overview
This strategy code currently includes four separate strategies to be used to either aid in discretionary trading or to be used algorithmically through the third-party system Profitview (profitview.app). Support for Pineconnector for use with MetaTrader 4 is in the works. The strategies have been designed with cryptocurrency trading in mind, however, the fundamentals apply to other assets.
The four strategies currently included are labeled “TSI Cross” (the default setting), “Oscillator Bands”, “Scalping”, and “McG/MA Cross”. Detailed information for each independent strategy can be found below, including sample settings configurations for each. A dropdown menu to select the strategy can be found under the “Strategy Options” set of settings under the Input tab of the strategy settings menu.
Additionally, the option to receive only long or short signals can be found alongside the Strategy Choice menu.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly.
The only visuals associated with the strategy are two McGinley Dynamic lines, red (slow length) and green (fast length). These are relevant to the McGinley Cross strategy, but can be used alongside the other strategies if desired.
When viewing the backtesting data in the TradingView Strategy Tester, ensure that “use bar magnifier” is activated. This option can be found in the Properties tab of the strategy settings menu.
Profitview Settings
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. A sample of our Profitview syntax can be found below.
To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Strategy Choices
As mentioned above, this strategy code contains four separate strategy options. A detailed breakdown of each follows below:
Total Strength Index (TSI) Cross
This strategy option is the default choice. The main signal involved in this strategy is a crossover or crossunder of the TSI value line and TSI signal line, however, there are a few other signals involved in the creation of a long or short entry. In addition to the TSI, the strategy includes an Average Directional Index (ADX) threshold value, Jurik Volatility Bands (JVB), a Stoch RSI threshold, and an oscillator of choice in conjunction with a threshold of 0. This oscillator choice can be selected under the “Signal Options” menu in the Input tab of the strategy settings. The default oscillator is the Detrended Price Oscillator (DPO), though the option for Chande Momentum (CMO) or Rate of Change (RoC) are both viable for this strategy.
Individual settings for these can be found in the Input tab under “Oscillator Settings” (TSI, Stoch RSI, DPO, CMO, ROC), “Band/Channel Settings” (Jurik Volatility Bands Length/Smoothing), and “Directional Settings” (ADX Smoothing Long, DI Length Short, ADX Threshold).
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings -- DPO Length (21), DPO *not* centered, RSI (Stoch) Length (4), Stochastic Length (4), TSI Long Length (25), TSI Short Length (13), TSI Signal Length (13), K (3), D (3)
- Band/Channel Settings -- Jurik Volatility Bands Length (25), Jurik Volatility Bands Smoothing (5)
- Directional Settings – JVB Price Threshold (0), ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (23)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Oscillator Bands
This strategy involves the usage of bands or channels that use oscillators as a source input. The main signal for this strategy derives from a cross of the band or channel and a hline of 0. Additionally, this includes a “Directional Filter” and a “MA Filter”. The selections for all of these can be found in the “Signal Options” section of the Input tab.
First option is for Oscillator Choice and includes DPO, CMO, ROC, RSI, TSI, and the Jurik price line. The individual settings for these can be found in the “Oscillator Settings” section. Different channels can be selected for the upper or lower bands, though it is not necessary for them to differ. These current options include Bollinger Bands and Jurik Volatility Bands, the individual settings for each found in the “Band/Channel Settings” section. Next is the MA Filter, of which you can select SMA, EMA, SMMA, WMA, VWMA, KAMA, JMA, or McGinley Dynamic. All options for these settings can be found in the “MA Filter Settings” section. Lastly, the Directional Filters can be selected for either direction like the upper/lower band selection. These filters include the ADX, Bull-Bear Power (BBP), Parabolic SAR (PSAR), or Jurik.
Sample settings for WAVESUSDT using the 20M timeframe:
- Oscillator Choice – DPO (Length – 30, uncentered)
- Upper and Lower Band – JVB Upper/Lower (Jurik Volatility Bands Length – 25; Smoothing – 10)
- MA Filter – VWMA – (MA Length – 40; Source – Open)
- Directional Filter – ADX (ADX Smoothing Long – 14; DI Length Short – 5; ADX Threshold – 22)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Scalping
This strategy heavily relies on the usage of Parabolic SAR, accompanied by a “Directional Filter” (as discussed in the previous section) other than PSAR. This strategy can provide a higher frequency of trades as opposed to the other strategies available, however, it comes with slightly higher risk inherently. A riskier take profit/stop loss spread is recommended here, though risk should always be managed. The settings required for this strategy are all found under the “Directional Settings” section of the strategy inputs.
Sample settings for NEARUSDT using the 20M timeframe:
- Directional Filter set to ADX
- Directional Settings – ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (22), PSAR Start Value (0.02), PSAR Increment (0.005), PSAR Max Value (0.15), PSAR Source (Close)
- Take Profit/Stop Loss – 0.75% TP, 0.005% TTP, 1.5% SL
McGinley Cross
This strategy revolves around the crossing of two McGinley Dynamic lines of varying lengths alongside an ADX filter as well as a DPO filter. McGinley is used as opposed to a standard moving average cross strategy as it adjusts for shifts in market speed and can better gauge market trends. The McGinley length settings can be found with the “MA Filter” settings, labeled as Fast Length and Slow Length. The fast length number should be smaller than the slow length.
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings – DPO Length (30), uncentered
- MA Filter Settings – McGinley Fast Length (4), McGinley Slow Length (21)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.4% SL
Comprehensive Settings List
Date and Time: From date and to date, adjustable for backtesting purposes.
Signal Options:
Oscillator Choices: Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Rate of Change (ROC), Relative Strength Index (RSI), True Strength Index (TSI), Jurik Volatility Bands Priceline (JVB) – *** for use with TSI Cross or Oscillator Bands strategies only ***
Upper and Lower Band/Channel Choices: Bollinger Bands (BB) or Jurik Volatility Bands (JVB) -- *** for use with Oscillator Bands strategy only ***
MA/McG Filter: SMA, EMA, RMA, WMA, VWMA, Kaufmann MA, Jurik MA, McGinley Dynamic -- *** for use with Oscillator Bands strategy only ***
Directional Filter Long/Short: Average Directional Index (ADX), Bull/Bear Power (BBP), Parabolic SAR (PSAR), Jurik -- *** for use with Oscillator Bands strategy only ***
Profitview Settings: *** For use with ProfitView extension only, otherwise ignore ***
Oscillator Settings: *** For use with TSI Cross, Oscillator Bands, and McGinley Cross strategies ***
CMO Length, CMO Source – for Chande Momentum Oscillator
DPO Length, DPO Centered – for Detrended Price Oscillator
RoC Length, RoC Source – for Rate of Change
RSI Length, RSI MA Length – for Relative Strength Index
RSI (Stoch) Length, Stochastic Length, Stoch RSI Source, K, D – for Stochastic RSI
TSI Long Length, TSI Short Length, TSI Signal Length – for True Strength Index
Band/Channel Settings: *** For use with Oscillator Bands strategy ***
Jurik Volatility Bands Length, Jurik Volatility Bands Smoothing – for Jurik Volatility Bands
Bollinger Band Length, Bollinger Band Multiplier – for Bollinger Bands
Directional Settings: *** For use with Scalping and Oscillator Bands strategies ***
JVB Price Threshold – for Jurik Volatility as a directional setting
ADX Smoothing Long, DI Length Short, ADX Threshold – for Average Directional Index
PSAR Start Value, PSAR Increment, PSAR Max Value, PSAR Source – for Parabolic SAR
MA Filter Settings: *** For use with Oscillator Bands and McGinley Cross strategies ***
McGinley Fast/Slow Length – for McGinley Dynamic
MA Length, MA Source, MA Offset – for any other moving average
TP and TTP / Stop Loss: *** For use with ALL strategies ***
Long/Short Take Profit % -- for standard take profit settings
Enable Trailing, Trailing Take Profit % -- for trailing settings
Stop Loss % -- for standard stop loss settings; trailing can be enabled or disabled for stop loss
Disclaimers:
Some open-source code has been included -- Jurik Volatility Bands (by "ProValueTrader") and Trailing Take Profit/Stop Loss code (by jason5480). Additional code was used from the TradingView built-ins.
These strategies do NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Invites to the strategy will only be disseminated to those with express consent and knowledge of the invite prior to the action itself.
ninja strategyThe ninja strategy is 3-minute scalping.
It takes profits from very short term ups and downs.
TICK strategy for SPY optionsImportant notes:
1. This strategy is designed for same day SPY option scalping. All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 6 months of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000. Pyramiding is set to 3.
2. This strategy works better with non-extended market data.
3. This strategy is mainly developed for SPY trading on 5 min chart, it probably will not be very profitable with other tickers or time frame without tweaking all the parameters first.
4. This strategy will work with QQQ as well, but please adjust the profit multiplier to match the P/L of QQQ options.
How it works:
When trading the indices, many rely on the TICK for market directions. This strategy is a trend following strategy that uses a combination of conditions using the following indicators:
- TICK
- RSI
- VIX volatility index
- EMA
For entries, the conditions are:
1. TICK moving average crossover with a delayed signal line
2. Bullish or bearish RSI signal, RSI > 50 for bullish, < 50 for bearish
3. VIX must be above a certain threshold to take advantage of high market volatility
4. Price must be on top of EMA line for long, and below for short
For exits, there are 3 scenarios:
1. Stop loss set by a percentage of the daily ATR value
2. Trend changes on the TICK and the RSI
3. Bearish or bullish divergence on price with TICK
This strategy automatically signal to close all trades at 3:50 pm EST at the end of the day.
Extras:
- There is an option to show P/L for reinvesting profits
Enjoy~!!! Let's all make $$$
Pumpkin Soup Modified Indicator[Public]This trading strategy is a multi-divergence trading technique using central oscillators such as MACD, SMI, Stochastic, and RSI and MAs (EMA, SMA, WMA) and channels (Bolinger, Caltner, and Doncian).
Only the parts that can be disclosed based on personal sales strategies can be used.
The usage time is at least 1 hour to 1 day. (I recommend the 8 hour stick starting from 3 o'clock)
The MACD ma part is the sensitivity part of the signal, so please use it if necessary.
Background Color: The image of the upward and downward markets is shown in the background.
-Red, green: Downfall, upfall
-Orange, yellow: Short hit section
-Silver, black: Beware of buying and selling.
Middle value (Support Resistance): It represents the sales base of the stock bar where long and short occur, starting from the peak where diversity occurs.
-Red and green lines represent resistance and support, and yellow and blue lines represent short-term sections used for scalping.
MA was used by integrating the MA series in combination.
-The required length of MA is 5 pieces, and I wrote the length I use.
This strategy was used to raise the invitation-only indicator as a strategic indicator before raising it.
(There's no alarm because it's a strategic indicator.)
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이 매매 전략은 MACD, SMI, Stochastic, RSI 등 센터드 오실레이터와 MAs(EMA, SMA, WMA)와 채널(볼린저, 캘트너, 돈치안)을 이용한 다중 다이버전스 매매기법입니다.
개인적인 매매전략을 근본으로 공개할 수 있는 부분만 사용할 수 있게 올립니다.
사용시간대는 최소 1시간봉에서 1일봉입니다. (3시봉부터 8시간봉을 추천드립니다)
MACD ma 부분은 시그널상 민감도부분으로 필요시 사용하시길 바랍니다.
Backbround Color : 상승장과 하락장에 대한 이미지를 배경으로 나타내었습니다.
빨간색, 초록색 : 하락장, 상승장
주황색, 노랑색 : 단타 구간
실버색, 검은색 : 매매 주의 구간
Middle value(Support Resistance) : 다이버전스가 생기는 봉을 기점으로 롱과 숏이 발생하는 주가봉의 매물대를 나타냅니다.
빨간선과 초록선은 저항과 지지를 나타내며, 노란선과 파란선은 스캘핑용으로 사용되는 단기 구간을 나타냅니다.
MA는 MA계열을 복합적으로 통합하여 사용하였습니다.
필요한 MA의 길이는 5개정도로 제가 사용하는 길이로 작성하였습니다.
본 전략은 인바이트 온니 지표 올리기전 전략 지표로 올리는 용도로 사용되었습니다.
(전략 지표라 알람이 없습니다.)
※ 전략지표 매매 포인트에서 매매 물타기 불타기 적용
NIKI US30This strategy is specially made for US30. It is not profitable in other stocks. This strategy is based on Supertrend and moving average combination. It only works on the 5-minute chart with a candle pattern. This strategy is suitable for scalping. The yellow candle on the chart represents the entry and the blue candle represents the exit. All signals should be considered only after the candle is closed.
The backtest results are based on US30's last year's data. It has an initial capital of 100000 and the size of the lot is 1. The target is 0.5% and stop-loss is 0.3%. The commission paid is 0.001% per trade and the slippage is 1 tick per trade. The pyramiding has enabled and had a value of 3. Adjust the commission as per your broker.
There are no restrictions on the number of trades per day.
Contact us using the link given below to obtain access to this strategy.
DyorTool PremiumWhat is the DyorTool Suite?
It is a toolkit that helps the trader to trade the market emotionless, under any condition.
This package is made of 3 scripts :
DyorTool Premium
DyorTool Oscillator
DyorTool Dashboard
What indicators are in these scripts?
DyorTool Premium
DyorTool Algo which gives buy and sell signals : 4 setups. The stats shown in the picture is set with a leverage of 0.4 on each trade with the commission of Binance ( without reduction ).
Range : 4 setups
Ribbon : 4 setups
Aggressiv Scalping : Trend Following - low UT : 2 setups
EVWMA : 4 setups
Ping Pong scalping : 4 setups
Support Line : 4 setups
DyorTool Oscillator
DyorTool RSI : 8 setups
DyorTool Oscillator : 8 setups
Smart candle color : Filter noise of the market
DyorTool Dashboard
Allows the user to feel the market sentiment with a custom candle
Measure the volatility of the market
Show DyorTool Algo trend
Show the momentum trend and measure his evolution.
Smart Stop Loss and Leverage calculation in order to not get in a trade if you are late, or to protect your capital.
All these indicators allow users to :
Trade the market easier, within a clearly defined framework - range.
Detect macro trend and the nearby momentum
Get early in a trade by entering in a trade with one of the 42 setups explained.
Have realistic target profit
Protect your capital with a smart stop loss and calculate the leverage for a defined stop loss
Detect if the market is with or against you so you are not holding more than you should.
This package is unique in its kind and it is complete. You can either do scalping or day-trading with it.
There are many different indicators in it. And a formation is given to explain in detail each indicator. This formation is easy to understand.
As you saw, each indicator has its own setups. These setups are explained one by one, under what condition you can enter in a trade, how to do it, where to exit, what to understand about the market next.
There is no interpretation possible. You are either in a setup or in a waiting zone.
These indicators are self-sufficient. You don't have to use all of them, and not at the same time. You use the ones which fit you better.
3x SuperTrend Strategy (Mel0nTek) V1This is a triple SuperTrend based strategy for lower time frame trades such as day trades and scalping. I have not seen many strategies that combine multiple SuperTrends so I thought I would publish this one since I put it together and have been quite happy with the results. I have found through testing that the best results are on currency exchange markets such as Crypto or Forex on 1-15 min time frames.
The core idea was inspired by a youtube video put out by Trade Pro:
"Trade Pro - HIGHEST PROFIT Triple Supertrend Trading Strategy Proven 100 Trade Results"
I went ahead and set the defaults to the ones he uses in his video for anyone who wants to try a configuration similar to his. They work pretty well in general, however the EMA, SuperTrend ATR multipliers, and P/L ratio can be tuned/optimized to fit the timeframe/market desired. The video is quite good but not a required watch as I will explain below.
The 200EMA is used as a medium-term trend direction indicator.
- Price closing consistently above the 200EMA means that only long positions should be entered.
- Price closing consistently below 200EMA means that only short positions should be entered.
The 3 SuperTrend indicators should be used as direction confirmation for entries. Typically, price above SuperTrend indicates bullish movement, while price below SuperTrend indicates Bearish movement. However by itself, it is not a great indication to enter/exit positions in my experience. By combining 3 of them with slightly longer periods and increased ATR multipliers, we can get much stronger confirmation of trend direction/strength.
The way they are used in this strategy is such that:
- We only want to enter a position if at least 2 out of 3 SuperTrends are on our side.
- 3/3 SuperTrends on our side is the best case, since we are taking trades WITH momentum/price strength.
- The second farthest SuperTrend from entry price is used as a Stop Loss
SuperTrend being on our side is not the only requirement for an entry however. The probability of success is increased with SuperTrend, and a longer EMA on our side, but we want to be sure that we aren't getting in too late/after the movement has already happened.
So we use Stoch RSI to pick our entries where price is oversold/overbought and reversing. That means the Stoch RSI is above 80, or below 20, and our indication to enter the trade is when the 2 lines cross/begin reversing direction.
So with trend direction on our side, we can get really good entries at these oversold/overbought extremes, especially as it's reversing (Stoch RSI K and D are crossing). This allows us to use the SuperTrend as a support/stop loss on our entry since price should be above it.
Then we just target 1.5x our max loss so that even if we only win 50% of the time, we still make a profit.
The explicit rules of this strategy are as follows:
=== Rules ===
long only
- price above EMA200
short only
- price below EMA200
Stop Loss = 2nd SuperTrend line above (short) or below(long) entry candle
Profit = 1.5x SL/risk (Profit Ratio x Max Loss)
=== Entry Setup ===
LONG
- Stoch RSI below 20, cross up
- at least 2 SuperTrend lines below close
SHORT
- Stoch RSI above 80, cross down
- at least 2 SuperTrend lines above close
P.S. Special thanks to Trade Pro for producing so many quality videos, putting strategy claims to the test, and providing me with so many good ideas I apply to my own strategies.
NIKI MSS CRYPTOThis strategy is specially made for BTCUSDTPERP, BTC-USD, and BTCUSDT cryptocurrency pairs. It is not profitable in other cryptocurrency pairs. This strategy is based on multi-timeframe Supertrend analysis. It only works on the 5-minute chart with a candle pattern. This strategy is based on scalping. The yellow candle on the chart represents the entry and the blue candle represents the exit. All signals should be considered only after the candle is closed. Use the indicator version of this strategy for Robo trading in Binance.
The backtest results are based on BTCUSDTPERP's last four month's data. It has an initial capital of 100000 and the size of the lot is 1. The target is 0.45% and stop-loss is 0.4%. The commission paid is 0.001% per trade and the slippage is 4 ticks per trade. Adjust the commission as per your broker.
There are no restrictions on the number of trades per day.
Contact us using the link given below to obtain access to this strategy.
[SATS]Foreca$ter Backtester **This is Backesting version of Foreca$ter Indicator. Access of backtester will be gained together with access of Foreca$ter**
Foreca$ter is an indicator design for trend trading.
Description:
Foreca$ter is originally design for trend trading, but with the timeframe focus on lower timeframe eg: 15mins, 5mins and lower, it can be used as indicator scalping.
There are symbol in Foreca$ter indicator that preview on the where next possible Buy/Sell signal might be generated and pay attention on it.
In the setting, multiple signal can be toggle on to shows multiple signal that generated. It also provide the ability to set SL and multiple TP targets for alert setting.
The algorithm is based on multiple aspect to signal Buy and Sell signal. Below are the aspect behind.
-Determine support resistance on higher time frame using pivot level.
-Multiple EMAs cross are use for trend determination.
-On lower timeframe, breakout of support or resistance follow by trend confirmation to signal Buy and Sell
-The signals are ticker specified and there is fine tuned between different tickers and timeframe. Therefore it only works on the specified tickers and timeframe in the sysmbol.
User Manual:
Symbol: You must match the symbol with the pairs and timeframe for it to works. Eg: For "Binance: BTCUSDTPERP 15mins" you need to set the ticker as Binance: BTCUSDTPERP and set timeframe to 15mins
Show Info Panel: Toggle on and off of info panel.
Multiple Entry: Toggle on to generate signal whenever the condition are met. This give you next possible entry if you missed the current one.
Customizable stoploss and multiple take profit target
Alert for Buy/Sell, SL and multiple TP
Current support pairs:
-BTCUSDTPERP 15mins
-BNBUSDTPERP 15mins
-LINKUSDTPERP 15mins
-LINKUSDTPERP 5mins
-LINKUSDTPERP 3mins
Remarks:
- Foreca$ter is continuous develop on new pairs and on different timeframe.
DM us in TV or our Discord for access to the indicator.
Always in ProfitThis indicator gives trend directions on bars, and confirmations on moving averages.
You can choose different and set periods. If there is growth, the color will be green; if there is a decrease, the color will be red.
This can be used, for example, for scalping.
[M10] Quad MA Trend ScalperFour adjustable moving averages set in order to produce buy and sell signals, works best on smaller timeframes from my backtesting, 10M - 30M seems optimal for scalping.
The idea behind this script is to only enter positions that are following the trend in order to minimise drawdown and decrease risk when using leverage.
The script will only enter long positions when MA crossover occurs above the Long MA 2.
The script will exit a long position when MA Short crosses below Long MA 1.
The script will only enter short positions when MA cross under occurs below the Long MA 2.
The script will exit a short position when MA Short crosses below Long MA 1.
TB!G-Scalp Strategy [Backtest]Scalping Crypto Assets Made Easy
TB!G-Scalp is a TradingView based alert and accompanying strategy PineV3 Script.
Backtest vs Realtime
When designing the algorithms for this strategy our focus was primarily on ease of use.This results in a beautiful yet easy to use scalping strategy. As input it takes a chart period and only one extra parameter for fine tuning. The backtest results are an accurate representation of it’s real-time behaviour.
What makes it tick?
Over the last 2 years we collected a lot of market data regarding Bull and Bear behaviours. This previous market behaviour echo’s into the current market trend.
By recognising these echo’s we are able to anticipate an upcoming micro reversal which eventually end up being a scalping strategy.
Interested
Access is provided to a limited amount of people and for the duration that is determined by it’s Alpha Decay Rate.
This ADR is expected to become problematic after 2.3 year of usage on a lot of 150 users.
PPSignal v2. POR FAVOR LEER
Version anterior de ppsignal.
Usar con ppsignal trend overlay, o ppsignal hullma cross para scalping.
Gráficos 1H, 240 y diarios Period W y 13. Gráficos 30min a 1H Period 13. Gráficos 1 min a 15 Min period 3H 13.
Usar de guías las escaleras de tendencia. Apretar F5 en caso de confusión de señales.
las senales que da el idndicador no son recomendacion de compra o venta, es un indicador de tendecia, se debe usar cn otros indicadores y analisis AT.
Basados en la teroria de Los movimientos del mercado de Dow y Hamilton, disenamos este sistema de tendecias para identificar las olas de cada impulso y desaceleracion del mercado, Dow y Hamilton se identificaron tres tipos de movimientos de precios para el Dow Jones Industrial y el tren promedios: movimientos primarios, los movimientos secundarios y las fluctuaciones diarias. Movimientos primarios duran desde unos pocos meses a muchos años y representan la amplia tendencia subyacente del mercado. Secundarios (o reacción) últimos movimientos desde unas pocas semanas hasta algunos meses y se mueven en contra de la tendencia primaria. Las fluctuaciones diarias puede mover con o en contra de la tendencia primaria y duran desde unas pocas horas a unos pocos días, pero normalmente no más de una semana.
The signals given by the manager are not recommended for purchase or sale, it is an indicator of tension, it should be used with other indicators and AT analysis.
Based on the theory of the market movements of Dow and Hamilton, we designed this trend system to identify the waves of each momentum and market slowdown, Dow and Hamilton identified three types of price movements for the Industrial Dow Jones and the train averages: primary movements, secondary movements and daily fluctuations. Primary movements last from a few months to many years and represent the broad underlying trend of the market. Secondary (or reaction) last movements from a few weeks to a few months and move against the primary trend. Daily fluctuations can move with or against the primary trend and last from a few hours to a few days, but usually no more than a week.
bolsawallstreet.com
PRO PressureBoi V2: BTC Harvesting Engine [LOCKED]Tradingviewbot PressureBoi: BTC Harvesting Engine V2
Overview
PressureBoi V2 is a high-performance exhaustion engine designed for BTCUSDT. It utilizes proprietary volatility-spike detection to identify "Market Pressure" points. By analyzing exhaustion levels rather than chasing momentum, it seeks to harvest liquidity from extreme price extensions.
Backtest Analytics:
Net Profit: +224%
Max Drawdown: 2.22%
Sample Size: 934 Closed Trades
Primary Timeframe: 1m (Scalping)
Key Features:
Dynamic ATR Volatility Protection: Real-time stop adjustment.
Trend Filter: Logic to prevent entries during parabolic crashes.
Pine V6 Architecture: Optimized for the latest TradingView engine speed.
"This is a 'Set and Forget' Engine. Whether you are scalping BTC on the 1-minute or swing trading on the Daily, the algorithm's Auto-Calibration ensures the entries and exits are always mathematically correct for that specific chart.
🔒 Access Information
This is a Protected Script. Access is granted on an individual basis.
To request access:
Please Private Message (PM) me directly through my profile.
View the "Author's Instructions" in the private chat for activation details.
⚠️ Important Disclaimer
For educational purposes only. This bot has been developed and optimized based on historical data. It has not been tested on a live account. Past performance is not indicative of future results. Be extremely cautious and use proper risk management if you intend to use this for live trading.
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy
This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets.
Core Design Principles
The strategy addresses three challenges specific to cryptocurrency trading:
24/7 market operation without session boundaries requires continuous monitoring and execution logic
Volatility regimes shift rapidly, demanding adaptive stop and target calculations
Tick-level responsiveness is critical for capturing momentum moves before they complete
Strategy Architecture
1. Signal Generation Stack
The strategy uses multiple technical indicators calibrated for cryptocurrency momentum:
MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases
EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure
Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering
RSI (21 period) and MFI (21 period) for momentum confirmation
Bollinger Bands and Keltner Channels for squeeze detection
2. Volatility Regime Classification
The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes:
Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR)
Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target)
Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets
ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks.
3. Multi-Path Entry System
Four independent signal pathways contribute to a composite strength score (0-100):
Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows
Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation
Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias
Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance
Additional scoring modifiers:
Volume impulse: +5 points when present, -5 when absent
Regime bonus: +5 in velocity, -2 in compression
Cycle bias: +5 when aligned, -5 when counter-trend
Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree.
4. Risk Management Framework
Position sizing is calculated from:
RiskCapital = Equity × (riskPerTradePct / 100)
StopDistance = ATR × StopMultiplier(regime)
Quantity = min(RiskCapital / StopDistance, MaxExposure / Price)
The strategy includes:
Risk per trade: 0.65% of equity (configurable)
Maximum exposure: 12% of equity (configurable)
Regime-adaptive stop and target multipliers
Adaptive trailing stops based on ATR and regime
Kill switch that disables new entries after 6.5% drawdown
Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks
5. Additional Filters
Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry
BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods
Session Filter : Optional time-based restriction (disabled by default for 24/7 operation)
Strategy Parameters
All default values used in backtesting:
Core Controls
Enable Short Structure: true
Restrict to Session Window: false
Execution Session: 0000-2359:1234567 (24/7)
Allow Same-Bar Re-Entry: true
Optimization Constants
MACD Fast Length: 8
MACD Slow Length: 21
MACD Signal Length: 5
EMA Fast: 8
EMA Mid: 21
EMA Slow: 34
EMA Slope Lookback: 8
Structure Break Window: 9
Regime Intelligence
ATR Length: 21
Volatility Soothing: 13
Low Vol Regime Threshold: 0.8% ATR
High Vol Regime Threshold: 1.6% ATR
Cycle Bias Length: 55
Cycle Bias Threshold: 0.15%
BTC Dominance Feed: CRYPTOCAP:BTC.D
BTC Dominance Confirmation: true
Signal Pathways
Volume Baseline Length: 34
Volume Impulse Multiplier: 1.15
Volume Z-Score Threshold: 0.5
MACD Histogram Smoothing: 5
MACD Histogram Sensitivity: 1.15
RSI Length: 21
RSI Momentum Trigger: 55
MFI Length: 21
MFI Momentum Trigger: 55
Squeeze Length: 20
Bollinger Multiplier: 1.5
Keltner Multiplier: 1.8
Squeeze Release Momentum Gate: 1.0
Micro Pullback Depth: 7
Minimum Composite Signal Strength: 55
Risk Architecture
Risk Allocation per Trade: 0.65%
Max Exposure: 12% of Equity
Base Risk/Reward Anchor: 1.8
Stop Multiplier • Low Regime: 1.05
Stop Multiplier • Medium Regime: 1.55
Stop Multiplier • High Regime: 2.1
Take Profit Multiplier • Low Regime: 1.6
Take Profit Multiplier • Medium Regime: 2.05
Take Profit Multiplier • High Regime: 2.8
Adaptive Trailing Engine: true
Trailing Offset Multiplier: 0.9
Quantity Granularity: 0.001
Kill Switch Drawdown: 6.5%
Strategy Settings
Initial Capital: $100,000
Commission: 0.04% (0.04 commission_value)
Slippage: 1 tick
Pyramiding: 1 (no position stacking)
calc_on_every_tick: true
calc_on_order_fills: true
Visualization Features
The strategy includes:
EMA ribbon overlay (8/21/34) with customizable colors
Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta)
Dynamic bar coloring based on signal strength divergence
Signal labels for entry points
On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics
Recommended Usage
Timeframes
The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider:
Increasing structure lookback windows
Raising RSI trigger thresholds above 58 to filter noise
Extending volume baseline length
Markets
Designed for high-liquidity cryptocurrency perpetual futures:
BTC/USDT, BTC/USD perpetuals
ETH perpetuals
Major L1 tokens with sufficient volume
For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums.
Limitations and Compromises
Backtesting Considerations
TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ
The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure
At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context
Market Structure Dependencies
BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades
Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable
Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough
Parameter Sensitivity
Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration
The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups
Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk
Execution Constraints
Same-bar re-entry requires broker support for rapid order placement
Quantity granularity must match exchange contract minimums
Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset
Performance Expectations
This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on:
Market conditions (trending vs. ranging)
Exchange execution quality
Parameter calibration for specific assets
Risk management discipline
Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital.
Code Structure
The strategy is organized into functional sections:
Configuration groups for parameter organization
Helper functions for position sizing and normalization
Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics)
Regime classification logic
Multi-path signal generation and composite scoring
Entry/exit orchestration with risk management
Visualization layer with dashboard and chart elements
The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets.
Modification Guidelines
When adapting this strategy:
Document any parameter changes in your publication
Test modifications across different market regimes
Validate position sizing logic for your exchange's contract specifications
Consider exchange-specific limitations (funding rates, liquidation mechanics, order types)
Conclusion
This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions.
You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management.
Disclaimer
This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results.
This strategy is provided "as is" without any warranties or guarantees of profitability
You should not rely solely on this strategy for making trading decisions
Always conduct your own research and analysis before making any financial decisions
Consider consulting with a qualified financial advisor before engaging in trading activities
The authors and contributors are not responsible for any losses incurred from using this strategy
Cryptocurrency trading can result in the loss of your entire investment
Only trade with capital you can afford to lose
Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
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.
Vinz Win BTC – STRATEGY AUTO 1m🚀 VinzWin BTC Strategy – BTC Scalping AUTO 1 min
The VinzWin strategy is based on a simple and highly effective price action pattern:
✅ 2 red candles followed by 1 green candle
✅ Doji filter set to 0
✅ Trading exclusively on BTC
✅ Session from 12:00 to 12:00 (24/7)
✅ Fixed Risk/Reward at 1:2
✅ Stop Loss set in fixed € amount
✅ Automatic risk management based on the Stop Loss
On every trade:
The Stop Loss is defined in fixed euros,
The Take Profit is always set at twice the risk,
The lot size is automatically adjusted to market conditions,
ensuring clean, stable, and fully controlled risk management.
📊 Multi-year backtests are available and show truly outstanding results, with strong consistency and an excellent profit/loss ratio.
👉 A simple, mechanical strategy with no over-optimization, perfectly suited for BTC scalping with fully controlled capital management in euros.
RC - Crypto Scalper v3Cryptocurrency scalping strategy for perpetual futures with risk management and automation capabilities.
## Strategy Overview
This strategy identifies high-probability scalping opportunities in cryptocurrency perpetual futures markets using adaptive position sizing, dynamic stop losses, and intelligent exit management to maintain consistent risk-adjusted returns across varying market conditions.
## Technical Foundation
The strategy employs exponential moving averages for trend detection, Bollinger Bands for volatility measurement and mean reversion signals, RSI for momentum confirmation and overbought/oversold conditions, ATR for dynamic volatility-based stop placement, and VWAP for institutional price level identification. These technical indicators are combined with volume analysis and optional multi-timeframe confirmation to filter low-probability setups.
## Entry Methodology
The strategy identifies trading opportunities using three complementary approaches that can be enabled individually or in combination:
Momentum-Based Entries: Detects directional price movements aligned with short-term and intermediate-term trend indicators, with momentum oscillator confirmation to avoid entries at exhaustion points. Volume analysis provides additional confirmation of institutional participation.
Mean Reversion Entries: Identifies price extremes using statistical volatility bands combined with momentum divergence, targeting high-probability reversal zones in ranging market conditions. Entries require initial price structure confirmation to reduce false signals.
Institutional Flow Entries: Monitors volume-weighted price levels to identify areas where institutional orders are likely concentrated, entering on confirmed breaks of these key levels with supporting directional bias from trend indicators.
Each methodology uses distinct combinations of the technical indicators mentioned above, with specific parameter relationships and confirmation requirements that can be customized based on trader preference and market conditions.
## Exit Framework
Adaptive Stop Loss: Uses ATR-based stops (default 0.7x multiplier on 14-period ATR) that automatically adjust to current market volatility. Stop distance expands during volatile periods to avoid premature stops while tightening during consolidation to protect capital. Alternative percentage-based stops available for traders preferring fixed-distance risk management.
Trailing Profit System: Employs a dual-target exit approach combining fixed limit orders with dynamic trailing stops. The system activates trailing stops when positions reach profitable thresholds, allowing winning trades to capture extended moves while protecting accumulated gains. The high fixed limit (6R default) serves as a ceiling for exceptional moves while the trailing mechanism handles the majority of exits at optimal profit levels.
Time-Based Management: Implements maximum holding period constraints (50 bars default) to prevent capital from being trapped in directionless price action. This ensures consistent capital turnover and prevents the strategy from holding through extended consolidation periods.
Breakeven Protection: Automatically adjusts stop loss to entry price plus commission costs once trades reach predefined profit thresholds (0.7R default), eliminating downside risk on positions that have demonstrated directional follow-through.
## Risk Management
Position Sizing: Dynamic position sizing based on account equity percentage risk model (2% default). Calculates optimal position size based on entry price, stop distance, and account risk tolerance. Includes maximum position exposure caps and minimum position size thresholds to ensure practical trade execution.
Daily Loss Limits: Automatic trading suspension when intraday losses exceed configured threshold (5% of equity default). Prevents catastrophic drawdown days and removes emotional decision-making during adverse market conditions. Resets automatically at the start of each new trading day.
Leverage Controls: Comprehensive leverage monitoring with built-in liquidation protection for margined positions. Strategy calculates liquidation prices based on leverage settings and automatically closes positions approaching critical margin levels, preventing forced liquidations.
Exposure Management: Multiple layers of position size controls including maximum position value as percentage of equity (50% default), leverage-adjusted margin requirements, and minimum capital availability thresholds before opening new positions.
## Market Filters
Session-Based Filtering: Configurable trading windows for Asian (00:00-08:00 UTC), London (08:00-16:00 UTC), and New York (13:00-21:00 UTC) sessions. Allows traders to focus on specific market hours or avoid illiquid periods based on their asset and trading style.
Volatility Requirements: Minimum and maximum ATR percentage thresholds ensure strategy only operates within optimal volatility ranges. Prevents trading during both insufficient movement periods and extreme volatility events where execution quality deteriorates.
Trend Alignment: Optional higher timeframe trend filter ensures directional bias aligns with broader market structure, reducing counter-trend entries during strong directional moves.
Volume Confirmation: Configurable volume requirements for entry validation, ensuring sufficient market participation and reducing false signals during low-liquidity periods.
## Automation Support
Built-in webhook integration generates JSON payloads compatible with popular broker automation platforms. Alert system provides comprehensive notifications for all entry signals, exit executions, risk limit breaches, and daily trading status updates. Supports both automated and manual execution workflows.
## Settings Explanation
Initial Capital: $5,000
Selected as realistic starting point for retail traders entering crypto futures markets. Strategy scales proportionally - larger accounts show similar percentage returns with proportionally larger absolute gains and position sizes.
Risk Per Trade: 2%
Conservative default providing significant drawdown tolerance. With 51% historical win rate and positive expectancy, risking 2% per trade allows for extended losing streaks without account impairment. Adjustable from 0.5% (very conservative) to 5% (aggressive, experienced traders only).
Leverage: 10x
Standard cross-margin leverage for cryptocurrency perpetual futures. Combined with 2% risk setting and maximum 50% equity position size caps, actual exposure remains controlled despite leverage. Built-in liquidation protection provides additional safety layer.
Commission: 0.055%
Modeled on major exchange maker fee structures (Bybit, Binance Futures).
**Slippage: 50 ticks**
Ultra-conservative slippage assumption representing extreme worst-case execution scenarios. ETH perpetual tick size is $0.01, therefore 50 ticks equals $0.50 per side or $1.00 round trip slippage per trade.
Real-world slippage on 30-minute timeframe typically ranges from 2-5 ticks ($0.02-0.05 round trip) under normal conditions, with 10-20 ticks during highly volatile periods. The 50-tick setting assumes every single trade executes during extreme market stress conditions.
This ultra-conservative modeling approach means real-world trading performance under typical market conditions may exceed backtest results, as the strategy has been tested under punishing execution cost assumptions that represent worst-case scenarios rather than expected outcomes.
Stop Loss: ATR-based (0.7x multiplier)
Volatility-adaptive stops optimized for 30-minute cryptocurrency perpetuals. The 0.7x multiplier balances protection against premature stops due to normal market noise. Lower multipliers (0.5-0.6x) suitable for lower timeframes, higher multipliers (0.8-1.2x) for higher timeframes.
Take Profit: 6R (Risk:Reward)
High target designed to work in conjunction with trailing stop system rather than as primary exit mechanism. Historical analysis shows most profitable trades exit via trailing stops at lower multiples, with the 6R limit capturing occasional extended moves. This configuration allows the trailing stop system to operate optimally while providing upside capture on exceptional price runs.
Trailing Stop: Activates at 1R | Offset 0.5R
Trailing mechanism engages when position reaches 1:1 risk-reward, then maintains 0.5R distance from peak favourable price. This configuration allows profitable trades room to develop while protecting accumulated gains from reversals.
Maximum Holding Period: 50 bars
Automatic exit trigger after 50 bars (25 hours on 30-minute timeframe) prevents capital commitment to non-trending price action. Adjustable based on timeframe and trading style preferences.
## Backtest Performance
Test Period: November 2023 - November 2025 (2 years)
Asset: ETH/USDT Perpetual Futures
Timeframe: 30 minutes
Initial Capital: $5,000
Performance Metrics:
- Final Equity: $25,353.99
- Net Profit: $20,353.99
- Total Return: 407.08%
- Annualized Return: ~204%
- Total Trades: 2,549
- Winning Trades: 1,308 (51.28%)
- Losing Trades: 1,241 (48.72%)
- Profit Factor: 1.215
- Sharpe Ratio: 0.813
- Sortino Ratio: 6.428
- Maximum Drawdown: 11.53%
- Average Drawdown: <2%
Trade Statistics:
- Average Win: 1.15% per trade
- Average Loss: -0.98% per trade
- Win/Loss Ratio: 1.17:1
- Largest Win: 7.14%
- Largest Loss: -2.31%
- Average Trade Duration: ~8 hours
- Trades Per Month: ~106
Cost Analysis:
- Total Commission Paid: $21,277.06
- Commission as % of Gross Profit: 18.5%
- Modeled Slippage Impact: $2,549.00 (50 ticks per trade)
- Total Trading Costs: $23,826.06
- Net Profit After All Costs: $20,353.99
Risk-Adjusted Performance:
- Return/Max DD Ratio: 35.3
- Profit Per Trade: $7.98 average
- Risk of Ruin: <0.001% (with 2% risk, 51% win rate, 1.17 R:R)
## Bear Market Validation
To validate robustness across different market conditions, the strategy was additionally tested during the 2022 cryptocurrency bear market:
Test Period: May 2022 - November 2022 (7 months)
Market Conditions: ETH declined 57% (from ~$2,900 to ~$1,200)
Bear Market Results:
- Net Profit: $4,959.69
- Return: 99.19%
- Total Trades: 845
- Win Rate: 51.72%
- Maximum Drawdown: 18.54%
- Profit Factor: 1.235
- Outperformance vs Buy & Hold: +156.3%
The strategy demonstrated profitable performance during severe market decline, with short positions showing particular strength (54.1% win rate on shorts vs 49.4% on longs). This validates that the edge is not dependent on bullish market conditions and the multiple entry methodologies adapt naturally to different market environments.
## Recommended Usage
Optimal Timeframes:
- Primary: 30-minute (tested and optimized)
- Alternative: 1-hour (more selective, fewer trades)
- Not recommended: <15-minute (execution quality deteriorates)
Suitable Assets:
High-liquidity cryptocurrency perpetual futures recommended:
- BTC/USDT (>$2B daily volume)
- ETH/USDT (>$1B daily volume)
- SOL/USDT, AVAX/USDT (>$100M daily volume)
- Avoid low-liquidity pairs (<$50M daily volume)
Risk Configuration:
- Conservative: 1-1.5% per trade
- Moderate: 2-3% per trade (default: 2%)
- Aggressive: 3-5% per trade (requires discipline)
## Important Considerations
Backtesting vs Live Trading: Always paper trade first. Real-world results vary based on execution quality, broker-specific factors, network latency, and individual trade management decisions. Backtest performance represents historical simulation with ultra-conservative cost assumptions, not guaranteed future results.
Market Conditions: Strategy designed for liquid, actively-traded markets. Performance characteristics:
- Strong trends: Optimal (trailing stops capture extended moves)
- Ranging markets: Moderate (mean reversion component provides edge)
- Low volatility: Reduced (ATR filter prevents most entries)
- Extreme volatility: Protected (maximum volatility filter prevents entries)
Cost Impact: Commission represents approximately 18.5% of gross profit in backtests. The 50-tick slippage assumption is deliberately punitive - typical execution will likely be 5-10x better (2-10 ticks actual vs 50 ticks modeled), meaning real-world net results may significantly exceed backtest performance under normal market conditions.
Execution Quality: 30-minute timeframe provides sufficient time for order placement and management. Automated execution recommended for consistency. Manual execution requires discipline to follow signals without hesitation or second-guessing.
Starting Procedures:
1. Run backtest on your specific asset and timeframe
2. Paper trade for minimum 50 trades or 2 weeks
3. Start with minimum position sizes (0.5-1% risk)
4. Gradually scale to target risk levels as confidence builds
5. Monitor actual execution costs vs backtest assumptions
## Strategy Limitations
- Requires liquid markets; performance degrades significantly on low-volume pairs
- No built-in news event calendar; traders should manually avoid scheduled high-impact events
- Weekend/holiday trading may experience wider spreads and different price behaviour
- Does not model spread costs (assumes mid-price fills); add 1-2 ticks additional cost for market orders
- Performance during market structure changes (regime shifts) may differ from backtest period
- Requires consistent monitoring during active trading hours for optimal automated execution
- Slippage assumptions are deliberately extreme; actual slippage will typically be much lower
## Risk Disclosure
Cryptocurrency trading involves substantial risk of loss. Leverage amplifies both gains and losses. This strategy will experience losing streaks and drawdowns. The 11.53% maximum historical drawdown in bull market testing and 18.54% in bear market testing do not represent ceilings - larger drawdowns are possible and should be expected in live trading.
Past performance does not guarantee future results. Market conditions evolve, and historical edge may diminish or disappear. No strategy works in all market conditions. The strategy has been tested with extremely conservative slippage assumptions (50 ticks per trade) that significantly exceed typical execution costs; this provides a safety margin but does not eliminate risk.
Capital at Risk: Only trade with capital you can afford to lose completely. The strategy's positive historical performance across both bull and bear markets does not eliminate the possibility of significant losses or account impairment.
Not Financial Advice: This strategy is an educational tool, not investment advice. Users are solely responsible for their trading decisions, risk management, and outcomes. The developer assumes no liability for trading losses.
Leverage Warning: Trading with leverage can result in losses exceeding initial investment. Ensure you understand leverage mechanics and liquidation risks before using leveraged products.
## Technical Requirements
- TradingView Premium subscription (for strategy testing and alerts)
- Understanding of risk management principles
- Familiarity with perpetual futures mechanics
- Broker account supporting crypto perpetuals (if trading live)
- For automation: Webhook-compatible execution platform
## Version History
v3.0 - November 2025 (Initial Release)
- Multi-methodology entry system (Momentum, Mean Reversion, VWAP)
- Comprehensive risk management framework
- Adaptive exit system with trailing stops
- Session and volatility filtering
- Webhook automation support
- Validated across bull market (2024-25) and bear market (2022) periods
- Tested with ultra-conservative 50-tick slippage assumptions
Disclaimer: This strategy is provided "as-is" for educational purposes. Past performance does not indicate future results. All backtests conducted with 50-tick slippage (ultra-conservative assumptions). Actual trading costs typically significantly lower. Trade responsibly and at your own risk.
Elite Momentum Scalper🎯 Perfect For
Scalpers Who Want:
Quick In-and-Out Trades: Designed for 1-15 minute timeframes but works very well on the higer timeframes. Especiall Designed for : Indices ie NAS100 SPX in the New York Session but does work in London session also.
High Win Rate: Multiple confirmations reduce false signals
Consistent Risk: Same risk per trade, every trade
Clean Charts: No indicator spaghetti, just clear signals
Best Markets: Indices ie NAS100 SPX New York Session
Forex Majors: EUR/USD, GBP/USD, USD/JPY
Precious Metals: XAU/USD (Gold), XAG/USD (Silver)
Crypto: BTC/USD, ETH/USD (works 24/7)
Indices: SPX, NAS, DAX during active sessions
Optimal Timeframes:
Primary: 5-minute, 15-minute charts
Works On: Any timeframe (auto-adjusts)
Session-Aware: Best during London/NY overlap
🚨 Built-in Alerts
Never miss a trade:
Entry Alerts: "LONG ENTRY at 1.2345 SL: 1.2300 TP: 1.2400"
Exact Levels: Includes entry, stop, and target prices
Mobile Friendly: Works with TradingView mobile alerts
💡 Pro Tips for Best Results
Setup Recommendations:
Start Conservative: Begin with 1% risk per trade
Respect Sessions: Best results during London/NY hours
Don't Override: Let the cooldown system work
Monitor Dashboard: Keep an eye on daily trade count
Backtest First: Test on historical data before live trading
Risk Management:
Never risk more than you can afford to lose
Use proper position sizing (built-in calculator)
Respect the stop losses (they're there for a reason)
Monitor during high-impact news events
🏆 Why The Elite One?
Based on Fabio Valentini's proven #1 scalper methodology, this isn't just another indicator—it's a complete trading system that:
✅ Eliminates Guesswork: Exact entry, stop, and target levels
✅ Manages Risk: Built-in position sizing and risk management
✅ Prevents Overtrading: Smart cooldown system
✅ Adapts to Markets: ATR-based levels adjust to volatility
✅ Saves Time: All information in one clean dashboard
✅ Works Anywhere: Any market, any timeframe
✅ Stays Clean: No chart clutter, just actionable signals
Join thousands of traders who've upgraded their scalping game with the world's #1 scalper's methodology, refined into institutional-grade precision with retail-friendly execution.
⚠️ Important Disclaimers
Past performance does not guarantee future results
Trading involves substantial risk of loss
Test thoroughly on demo accounts first
Consider broker spreads in your calculations
Not financial advice - trade at your own risk
📈 Ready to Transform Your Trading?
Add The Elite One to your chart and experience the difference that professional-grade trading tools based on proven scalping methodology can make.
Remember: The best traders don't just follow signals—they understand their tools. Take time to learn the system, backtest thoroughly, and always trade responsibly.
Happy Trading! 🚀
The Elite One - Based on Fabio Valentini's #1 Scalper Methodology ⚡️
NADY 45M ADX-RSI StrategyADX-RSI Scalping Strategy for Gold (XAUUSD) – Pine Script v5
This script is a powerful scalping & swing trading strategy that combines the strength of ADX (Average Directional Index) and RSI (Relative Strength Index), along with a Moving Average trend filter, designed specifically for XAUUSD (Gold/USD) but can be adapted to other assets.
Core Logic:
🔹 Trend Strength Filter (ADX):
Trades are allowed only when ADX > 20, ensuring signals occur during strong trends.
Custom-coded ADX calculation for precision (no lagging built-in functions).
🔹 RSI Overbought/Oversold Signals:
Buy when RSI is deeply oversold (<20).
Sell when RSI is overbought (>85).
Exit conditions are also governed by RSI reversals (RSI > 75 for closing longs, RSI < 25 for closing shorts).
🔹 Trend Confirmation with Moving Average (MA):
A 300-period SMA ensures only trades in the direction of the larger trend.
Avoids false signals during sideways markets.
🔹 Risk Filters:
No overtrading: Trades are allowed only when all three conditions (ADX, RSI, MA) align.
Session visual filter (background color highlights signal bars).
Features Included:
✅ Precise ADX Calculation
✅ Configurable RSI & MA lengths
✅ Clean Buy/Sell Entry & Exit logic
✅ Alerts Ready (Webhook-compatible for bots)
✅ Visuals: MA line, background highlights, ADX Threshold line.
Best Timeframes:
45M
Recommended Pairing:
XAUUSD (Gold/USD)
Works well with trending assets, can adapt to Forex Majors with slight tweaks.
Customization Parameters:
MA Length (default 300)
RSI Length (default 2)
ADX Length (default 14)
ADX Threshold (default 20)
Backtest Insights:
High accuracy during strong trends.
Works best during London & US sessions.
Filters out sideways, low-volatility zones effectively.
