STRATEGY R18-F-BTCHi, I'm @SenatorVonShaft
Just finished the strategy "STRATEGY R18-F-BTC" for trading on #bitcoin and other cryptocurrencies.
As any strategy on TradingView, R18 opens Long/Short positions (with no leverage) on certain price points for assets in the chart. But I intentionally make this strategy for Bitcoin . Strategy is effective with 1h chart and it has %36 winning trade ratio for #bitcoin trade. As strategy uses approximately 1/3 ratio of SL/TP levels, gross profit for 1 year backtest is above %200 (I mean above 3x for only BTC )
Strategy is built on combination of:
- MACD
- RSI
- FIBONACCI levels
- BTCUSDT price itself as indicator (for different crypto assets and BTCUSDTPERP trading. You can select different assets you like for indicator (it's BTCUSDT:Binance by default))
I fine-tuned all levels of indicators above accordingly (it has more than 10 variables that effects strategy itself).
You can find out your own strategy levels by adjusting long/short tp&sl variables as well as initial capital ratio variable.
Reverse option open reverse positions of the strategy
在脚本中搜索"bitcoin"
Crypto Strategy for Bearish Markets (Binance, FTX, Futures...)BINANCE:BTCUSDTPERP
Even in months like May '21 you can win by going long on Bitcoin. This strategy proves it and is not overwhelmed by Elon's ...
The backtest was carried out during the month of May of this year and, as you can see, all the long operations opened during the fall were successful.
So if we are going to continue to have a bear market for some time, why not take advantage of it while we remain bulls?
This strategy uses Dollar-Cost-Average (DCA) to average the entry price. Thanks to this, it is able to close profitable trades even in times of great volatility and bearish pressure.
It includes alerts that can be configured that will be sent every time the conditions to operate are met. These alerts can also be linked with 3commas for a fully automatic operation.
For Leverage Futures or Margin traders, all you have to do is divide the initial capital by the leverage used.
Enjoy!
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
Trend Daddy Bitcoin Strategy - Optimized For Automated TradingOverview:
This algorithm is the end result of years of trading both bitcoin and traditional markets. Over the years I've learned that trying to catch a top or bottom of a move is nearly impossible and results in a lot of pain. Instead, I've learned the money is made somewhere in the middle trading the momentum. That is how I came up with the Trend Daddy algo. Combining multiple different indicators, this script is able to pick up on large trending moves while at the same time avoiding sideways chop.
Signals:
The signals this algorithm produces are simple long and short signals. Keep in mind, this script will NOT attempt to short the top of the market nor will it attempt to catch knives. The signals that are thrown out attempt to play the momentum of the market, not reversals. Always wait for a candle to confirm in order to enter a trade.
Time Frame:
Bitcoin markets are extremely volatile and it is not recommended using this script on any time frame lower than 4 hours, with daily or above being the recommended time frame.
Backtesting:
I have run hundreds of backtests on this algorithm but also keep in mind that backtests do not show future results. I try to be as realistic in my backtests and do not account for any compounding. In the published backtest I ran an account size of $10k USD, only trading $10k USD per trade with no compounding. With this extremely conservative strategy, from day one of Bitcoin being listed on an exchange, this strategy would return roughly 1535% or $15,351 over the past 9 years.
Disclaimer:
Trading in any markets, especially cryptocurrencies involves taking on a great magnitude of risk. Do not trade any money that you are not willing to lose. Furthermore, past performance does not guarantee future results. The best trading device is your mind. Hopefully, this algorithm is the next best thing.
VGrego - Triple Regression StrategyI developed this strategy with perpetual contracts like the ones offered by Bitmex and FTX for Bitcoin.
This script uses complex regressions to analyze past, present and future to place long calls.
The script performs well on 1H charts on most perpetual contracts scenario.
GOAT Signals Custom No Repaint Buy Sell Arrow Strategy Tester
WELCOME to GOAT Signals Custom No Repaint Buy Sell Moving Average (MA) Strategy Tester!
This indicator can quickly and easily identify the past trading success of signals based on moving averages.
What is a Moving Average?
According to investopedia.com a moving average (MA) is a widely used indicator in technical analysis that helps smooth out price action by filtering out the “noise” from random short-term price fluctuations.
Keeping this in mind let me give an example how this indicator could be useful in identifying trends.
Many Bitcoin traders use the 21 moving average on the weekly chart to make trading decisions.
Some of this has to do with 21 being a Fibonacci sequence number, and also because of how Bitcoin price action has reacted to it's trend line in the past.
When applying this script to the Bitcoin(BLX) weekly chart with a 21 moving average the strategy tester gives us 33.33 % Percent Profitable results with 6.31 % Net Profit.
If we test another moving average, let's try 29, and change our step input to 1, we get 85.71 % Percent Profitable with 9.22 % Net Profit.
With a bit of tweaking we may be able to find charts and settings with even better performance.
Keep in mind the strategy tester does not calculate trading fees, therefore in most cases will work better on longer time frames.
The Step input gives price action some breathing space if desired. Steps can be added or subtracted.
Personally, I use the Daily and Weekly charts except during high volatility, and use a one or two bar trail depending on price action.
Past performance does NOT guarantee future gains but keep in mind Bitcoin, Litecoin and a few others are on deflationary cycles.
For full invite only access please contact DogeyBlaze.
Alert Script And Limited Time Free Trial Available.
Not Certified Financial Advice.
BTC and ETH Long strategy - version 1I will start with a small introduction about myself. I'm now trading cryto currencies manually for almost 2 years. I decided to start after watching a documentary on the TV showing people who made big money during the Bitcoin pump which happened at the end of 2017.
The next day, I asked myself "Why should I not give it a try and learn how to trade".
This was in February 2018 and the price of Bitcoin was around 11500USD.
I didn't know how to trade. In fact, I didn't know the trading industry at all.
So, my first step into trading was to open an account with a broken. Then I directly bought 200$ worst of BTC . At that time, I saw the graph and thought "This can only go back in the upward direction!" :)
I didn't know anything about Stop loss, Take profit and Risk management.
Today, almost 2 years after, I think that I know how to trade and can also confirm that I still hold this bag of 200$ of bitcoin from 2018 :)
I did spend the 2 last years to learn technical analysis , risk management and leverage trading.
Today (14/05/2020), I know what I'm doing and I'm happy to see that the 2 last years have been positive in terms of gains. Of course, I did not make crazy money with my saving but at least I made more than if I would have kept it in my bank account.
Even if I like trading, I have a full time job which requires my full energy and lots of focus, so, the biggest problem I had is that I didn't have enough time to look at the charts.
Also, I realized that sometimes, neither technical analysis , nor fundamentals worked with crypto currency (at least for short time trading). So, as I have a developer background I decided to try to have a look at algo trading.
The goal for me was neither to make complex algos nor to beat the market but just to automate my trading with simple bot catching the big waves.
I then started to take a look at TV pine script and played with it.
I did my first LONG script in February 2020 to Long the BTC Market. It has some limitations but works well enough for me for the time being. Even if the real trades will bring me half of what the back testing shows, this will still be a lot more than what I was used to win during the last 2 years with my manual trading.
So, here we are! Below you will find some details about my first LONG script. I'm happy to share it with you.
Feel free to play with it, give your comments and bring improvements to it.
But please note that it only works fine with the candle size and crypto pair that I have mentioned below. If you use other settings this algo might loose money!
- Crypto pairs : XBTUSD and ETHXBT
- Candle size: 2 Hours
- Indicator used: Volatility , MACD (12, 26, 7), SMA (100), SMA (200), EMA (20)
- Default StopLoss: -1.5%
- Entry in position if: Volatility < 2%
AND MACD moving up
AND AME (20) moving up
AND SMA (100) moving up
AND SMA (200) moving up
AND EMA (20) > SAM (100)
AND SMA (100) > SMA (200)
- Exit the postion if: Stoploss is reached
OR EMA (20) crossUnder SMA (100)
Here is a summary of the results for this script:
XBTUSD : 01/01/2019 --> 14/05/2020 = +107%
ETHXBT : 01/01/2019 --> 14/05/2020 = +39%
ETHUSD : 01/01/2019 --> 14/05/2020 = +112%
It is far away from being perfect. There are still plenty of things which can be done to improve it but I just wanted to share it :) .
Enjoy playing with it....
The Breakout Machine V2 BTCUSDT - Bitcoin BeatsHello, Hello, Hello and welcome back to Bitcoin Beats.
As the title suggests, this is Version 2 of The Breakout Machine. Unlike the previous version, this one has been fine-tuned to work best on Binance Futures(BTCUSDT).
The stats shown below are from 2020.
PLEASE BE CAREFUL WITH YOUR LEVERAGE AND DON'T GET REKT.
Trade at your own risk! Good luck!
This strategy takes MACD and Volume spikes to calculate pumps and dumps in the bitcoin market.
I've also added custom backtesting inputs and leverage for you all to experiment with and see the profitability of the Strategy.
Alerts version coming soon...
Thank you, And goodbye, from Bitcoin Beats.
REAL STRATEGY : Dow_Factor_MFI/RSI_DVOG_StrategyI'm actually one of those who think it's more important to extract clues from indicators than strategy, but I wanted to test the data about the probability and dow factor I've shared for a long time.
Usually, Bitcoin is used as an eye stain for strategy success, since the graph has increased significantly from the beginning.
To prevent this, I used a commission and in the last lines of document I shared Bitmex's Bitcoin and Ethereum 1W test results.
I don't think there's a factor to repaint. ( Warn me if u see or observe )
I considered Bitcoin because I found working with liquid parities much more realistic.
Ethereum and Bitmex have been featured as a spot and may soon find a place at the CME , so I've evaluated the Ethereum .
But since the Ethereum Bitmex was also spot new, I deleted results that were less than 10 closed trades.
Since the Dow Theory also looks at the harmony in the indices, just try it in the Cryptocurrency market.
Use as indicator in other markets. Support with channels, trend lines with big periods and other supportive indicators.
And my personal suggestion : Use this script and indicator TF : 4H and above.
Specifications :
Commission. ( % 0.125 )
Switchable Methods ( Relative Strength Index / Money Flow Index )
Alarms. (Buy / Sell )
Position closure when horizontal market rates weighs.
Progressive gradual buy/sell alarms.
Clean code layout that will not cause repaint. (Caution : source = close )
Switchable barcolor option (I / 0 )
*****Test results :*****
drive.google.com
Summary:
It was a realistic test.
It has achieved great success in some markets, but as I mentioned earlier, use it only to gain insight into the price movements of cryptos.
Use as indicator in other markets.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository : github.com
Stay tuned ! Noldo.
Cyatophilum H.A. Swing [BACKTEST]Hi guys, to celebrate the beginning of a new altcoins cycle, I created a Swing trade Indicator. (It's a joke, there will not be any altcoins cycle)
Cyatophilum Heikin Ashi Swing
This indicator will allow us to create one strategy for each pair and never miss those big swings ever again!
HOW BEAT BUY & HOLD WORKS
This kind of strategy is a safe long term investment , usually played in high timeframes such as 4H, 1D etc.
It is perfect for beginners in trading as the process is very simple: buy and sell when you receive the alert. The high timeframes allows to trade manually by receiving alerts on your phone or email, but you also can automate it if you prefer.
The primary goal of these strategies is to increase your capital faster than someone simply holding the asset .
The trades are made with no leverage and 100% equity . It is for those who want to grow their portfolio fast without risking to lose everything. You can use several strategies at once, in this case split your equity accordingly.
HOW DOES IT WORK?
The Heikin Ashi candles are very usefull. This strategy is built upon H.A. candles but is used on normal candles, because H.A. candles price are an average of real candles and we want to know the real price. I did the trick by recalculating the H.A. open, high, low and close with the original formula based on the real candles's ohlc. This allows me to use the strategy tester and backtest with real results.
HOW TO USE
Creating a signal is as simple as adding the indicator called to your chart and click "Set alert". Select "Once per bar close" for your alert options.
There are 3 alerts:
- BUY
- SELL
- BUY OR SELL (for free TV users)
Sample Backtest results
Bitcoin/Dollar
Ethereum/Bitcoin
Basic Attention Token/Bitcoin
> > Start using the indicator now < <
Note: This version is the BACKTEST. You can find the Alert version in my profile scripts.
Acceleration / deceleration strategy As promised, the updated acceleration / deceleration strategy.
Added switchable shorts (for exchanges with no margin) and more understandable settings.
The idea of the strategy is to look for the distance between the fast and slow SMA. When it decreases, there is a slowdown in price growth and a change in trend, and at the moment it predicts well the breakdowns of Bitcoin.
In the settings you can configure length of fast SMA, the length of the slow SMA is calculated as the length of the fast + diff. Usually, I pick up the fast SMA length, and then looking for the optimal diff. TrendChangeCandles indicates how many columns are needed in order to form a signal. 1 - the signal will be at each slow/acceleration event, we need to filter it, otherwise there will be a lot of unnecessary signals.
At the moment I have a bot that works on the default settings on the Bitmex exchange, and it gives good results. However, I think it is possible to find other settings for other pairs or timeframes (at least 15 minutes) that would give good results.
Cyatophilum Trend Indicator [BACKTEST][STRATEGY]HOW IT WORKS
Based on my Cyatophilum Trend Indicator, this Strategy performs simple Buy and Sell orders when an alert from the Indicator triggers. The goal is to find the best Time Frame and Trend Parameter in order to make the most profit. The indicator turns the candles green for a Long trade/Buy and red for a Short trade/Sell.
ABOUT THE STRATEGY
The Net Profit (Gross profit - Gross loss) is calculated with a commission of 0.05% on each order.
Each trade is made with 1 BTC : The backtest buys 1 BTC and sells 1 BTC.
It clearly outperforms the Buy & Hold line, meaning it is more profitable to use this strategy than to just hold Bitcoin.
If you decided to Short or Long, profits can be higher, but trade at your own risk.
To use this strategy on a BTC market (for trading altcoins), change the default Order Size from 1 Contract to 100% of Equity.
MY PERSONNAL ADVICE
This is a Trend Indicator, meaning the least profitable trades are made during flat markets. Keep an eye on News and Volume to indentify a possible breakout and avoid trades during those flat periods. Do not trade during a Triangle since the commissions will rekt you.
Get This Indicator Today!
Purchase at blockchainfiesta.com
NOTE
If you purchase the Indicator you will get both the Alert Setup and the Backtest Strategy.
Find, discuss and request more backtesting on my discord!
discord.gg
Stealthy7 Bayes Conditional RSI Trader StrategyWhat does it do?
This script checks whether RSI movement affects future price.
Trades when probability increases or decreases.
Developed for daily(D) bars and Bitcoin. This script is just a toy and for educational use.
Please rent my bots at cryptotrader.org/?r=51
[Outperforms Bitcoin Since 2011] Professional MA StrategyThis Strategy OUTPEFORMS Bitcoin since 2011.
Timeframe: Daily
MA used (Fast and Slow): WMA (Weighted Moving Average)
Fast MA Length: 30 days (Reflects the Monthly Trend - Short Term Perspective)
Slow MA Length: 360 days (Reflects the Annual Trend - Long Term Perspective)
Position Size: 100% of equity
Margin for Long = 10% of equity
Margin for Short = 10% of equity
Open Long = Typical Price Crosses Above its Fast MA and Price is above its Slow MA
Open Short = Typical Price Crosses Below its Fast MA and Price is below its Slow MA
Close Long = Typical Price Crosses Below its Fast MA
Close Short = Typical Price Crosses Below its Fast MA
note: Typical Price = (high + low + close) / 3
Mutanabby_AI | ATR+ | Trend-Following StrategyThis document presents the Mutanabby_AI | ATR+ Pine Script strategy, a systematic approach designed for trend identification and risk-managed position entry in financial markets. The strategy is engineered for long-only positions and integrates volatility-adjusted components to enhance signal robustness and trade management.
Strategic Design and Methodological Basis
The Mutanabby_AI | ATR+ strategy is constructed upon a foundation of established technical analysis principles, with a focus on objective signal generation and realistic trade execution.
Heikin Ashi for Trend Filtering: The core price data is processed via Heikin Ashi (HA) methodology to mitigate transient market noise and accentuate underlying trend direction. The script offers three distinct HA calculation modes, allowing for comparative analysis and validation:
Manual Calculation: Provides a transparent and deterministic computation of HA values.
ticker.heikinashi(): Utilizes TradingView's built-in function, employing confirmed historical bars to prevent repainting artifacts.
Regular Candles: Allows for direct comparison with standard OHLC price action.
This multi-methodological approach to trend smoothing is critical for robust signal generation.
Adaptive ATR Trailing Stop: A key component is the Average True Range (ATR)-based trailing stop. ATR serves as a dynamic measure of market volatility. The strategy incorporates user-defined parameters (
Key Value and ATR Period) to calibrate the sensitivity of this trailing stop, enabling adaptation to varying market volatility regimes. This mechanism is designed to provide a dynamic exit point, preserving capital and locking in gains as a trend progresses.
EMA Crossover for Signal Generation: Entry and exit signals are derived from the interaction between the Heikin Ashi derived price source and an Exponential Moving Average (EMA). A crossover event between these two components is utilized to objectively identify shifts in momentum, signaling potential long entry or exit points.
Rigorous Stop Loss Implementation: A critical feature for risk mitigation, the strategy includes an optional stop loss. This stop loss can be configured as a percentage or fixed point deviation from the entry price. Importantly, stop loss execution is based on real market prices, not the synthetic Heikin Ashi values. This design choice ensures that risk management is grounded in actual market liquidity and price levels, providing a more accurate representation of potential drawdowns during backtesting and live operation.
Backtesting Protocol: The strategy is configured for realistic backtesting, employing fill_orders_on_standard_ohlc=true to simulate order execution at standard OHLC prices. A configurable Date Filter is included to define specific historical periods for performance evaluation.
Data Visualization and Metrics: The script provides on-chart visual overlays for buy/sell signals, the ATR trailing stop, and the stop loss level. An integrated information table displays real-time strategy parameters, current position status, trend direction, and key price levels, facilitating immediate quantitative assessment.
Applicability
The Mutanabby_AI | ATR+ strategy is particularly suited for:
Cryptocurrency Markets: The inherent volatility of assets such as #Bitcoin and #Ethereum makes the ATR-based trailing stop a relevant tool for dynamic risk management.
Systematic Trend Following: Individuals employing systematic methodologies for trend capture will find the objective signal generation and rule-based execution aligned with their approach.
Pine Script Developers and Quants: The transparent code structure and emphasis on realistic backtesting provide a valuable framework for further analysis, modification, and integration into broader quantitative models.
Automated Trading Systems: The clear, deterministic entry and exit conditions facilitate integration into automated trading environments.
Implementation and Evaluation
To evaluate the Mutanabby_AI | ATR+ strategy, apply the script to your chosen chart on TradingView. Adjust the input parameters (Key Value, ATR Period, Heikin Ashi Method, Stop Loss Settings) to observe performance across various asset classes and timeframes. Comprehensive backtesting is recommended to assess the strategy's historical performance characteristics, including profitability, drawdown, and risk-adjusted returns.
I'd love to hear your thoughts, feedback, and any optimizations you discover! Drop a comment below, give it a like if you find it useful, and share your results.
ADX for BTC [PineIndicators]The ADX Strategy for BTC is a trend-following system that uses the Average Directional Index (ADX) to determine market strength and momentum shifts. Designed for Bitcoin trading, this strategy applies a customizable ADX threshold to confirm trend signals and optionally filters entries using a Simple Moving Average (SMA). The system features automated entry and exit conditions, dynamic trade visualization, and built-in trade tracking for historical performance analysis.
⚙️ Core Strategy Components
1️⃣ Average Directional Index (ADX) Calculation
The ADX indicator measures trend strength without indicating direction. It is derived from the Positive Directional Movement (+DI) and Negative Directional Movement (-DI):
+DI (Positive Directional Index): Measures upward price movement.
-DI (Negative Directional Index): Measures downward price movement.
ADX Value: Higher values indicate stronger trends, regardless of direction.
This strategy uses a default ADX length of 14 to smooth out short-term fluctuations while detecting sustainable trends.
2️⃣ SMA Filter (Optional Trend Confirmation)
The strategy includes a 200-period SMA filter to validate trend direction before entering trades. If enabled:
✅ Long Entry is only allowed when price is above a long-term SMA multiplier (5x the standard SMA length).
✅ If disabled, the strategy only considers the ADX crossover threshold for trade entries.
This filter helps reduce entries in sideways or weak-trend conditions, improving signal reliability.
📌 Trade Logic & Conditions
🔹 Long Entry Conditions
A buy signal is triggered when:
✅ ADX crosses above the threshold (default = 14), indicating a strengthening trend.
✅ (If SMA filter is enabled) Price is above the long-term SMA multiplier.
🔻 Exit Conditions
A position is closed when:
✅ ADX crosses below the stop threshold (default = 45), signaling trend weakening.
By adjusting the entry and exit ADX levels, traders can fine-tune sensitivity to trend changes.
📏 Trade Visualization & Tracking
Trade Markers
"Buy" label (▲) appears when a long position is opened.
"Close" label (▼) appears when a position is exited.
Trade History Boxes
Green if a trade is profitable.
Red if a trade closes at a loss.
Trend Tracking Lines
Horizontal lines mark entry and exit prices.
A filled trade box visually represents trade duration and profitability.
These elements provide clear visual insights into trade execution and performance.
⚡ How to Use This Strategy
1️⃣ Apply the script to a BTC chart in TradingView.
2️⃣ Adjust ADX entry/exit levels based on trend sensitivity.
3️⃣ Enable or disable the SMA filter for trend confirmation.
4️⃣ Backtest performance to analyze historical trade execution.
5️⃣ Monitor trade markers and history boxes for real-time trend insights.
This strategy is designed for trend traders looking to capture high-momentum market conditions while filtering out weak trends.
TSI Long/Short for BTC 2HThe TSI Long/Short for BTC 2H strategy is an advanced trend-following system designed specifically for trading Bitcoin (BTC) on a 2-hour timeframe. It leverages the True Strength Index (TSI) to identify momentum shifts and executes both long and short trades in response to dynamic market conditions.
Unlike traditional moving average-based strategies, this script uses a double-smoothed momentum calculation, enhancing signal accuracy and reducing noise. It incorporates automated position sizing, customizable leverage, and real-time performance tracking, ensuring a structured and adaptable trading approach.
🔹 What Makes This Strategy Unique?
Unlike simple crossover strategies or generic trend-following approaches, this system utilizes a customized True Strength Index (TSI) methodology that dynamically adjusts to market conditions.
🔸 True Strength Index (TSI) Filtering – The script refines the TSI by applying double exponential smoothing, filtering out weak signals and capturing high-confidence momentum shifts.
🔸 Adaptive Entry & Exit Logic – Instead of fixed thresholds, it compares the TSI value against a dynamically determined high/low range from the past 100 bars to confirm trade signals.
🔸 Leverage & Risk Optimization – Position sizing is dynamically adjusted based on account equity and leverage settings, ensuring controlled risk exposure.
🔸 Performance Monitoring System – A built-in performance tracking table allows traders to evaluate monthly and yearly results directly on the chart.
📊 Core Strategy Components
1️⃣ Momentum-Based Trade Execution
The strategy generates long and short trade signals based on the following conditions:
✅ Long Entry Condition – A buy signal is triggered when the TSI crosses above its 100-bar highest value (previously set), confirming bullish momentum.
✅ Short Entry Condition – A sell signal is generated when the TSI crosses below its 100-bar lowest value (previously set), indicating bearish pressure.
Each trade execution is fully automated, reducing emotional decision-making and improving trading discipline.
2️⃣ Position Sizing & Leverage Control
Risk management is a key focus of this strategy:
🔹 Dynamic Position Sizing – The script calculates position size based on:
Account Equity – Ensuring trade sizes adjust dynamically with capital fluctuations.
Leverage Multiplier – Allows traders to customize risk exposure via an adjustable leverage setting.
🔹 No Fixed Stop-Loss – The strategy relies on reversals to exit trades, meaning each position is closed when the opposite signal appears.
This design ensures maximum capital efficiency while adapting to market conditions in real time.
3️⃣ Performance Visualization & Tracking
Understanding historical performance is crucial for refining strategies. The script includes:
📌 Real-Time Trade Markers – Buy and sell signals are visually displayed on the chart for easy reference.
📌 Performance Metrics Table – Tracks monthly and yearly returns in percentage form, helping traders assess profitability over time.
📌 Trade History Visualization – Completed trades are displayed with color-coded boxes (green for long trades, red for short trades), visually representing profit/loss dynamics.
📢 Why Use This Strategy?
✔ Advanced Momentum Detection – Uses a double-smoothed TSI for more accurate trend signals.
✔ Fully Automated Trading – Removes emotional bias and enforces discipline.
✔ Customizable Risk Management – Adjust leverage and position sizing to suit your risk profile.
✔ Comprehensive Performance Tracking – Integrated reporting system provides clear insights into past trades.
This strategy is ideal for Bitcoin traders looking for a structured, high-probability system that adapts to both bullish and bearish trends on the 2-hour timeframe.
📌 How to Use: Simply add the script to your 2H BTC chart, configure your leverage settings, and let the system handle trade execution and tracking! 🚀
Ultimate T3 Fibonacci for BTC Scalping. Look at backtest report!Hey Everyone!
I created another script to add to my growing library of strategies and indicators that I use for automated crypto trading! This strategy is for BITCOIN on the 30 minute chart since I designed it to be a scalping strategy. I calculated for trading fees, and use a small amount of capital in the backtest report. But feel free to modify the capital and how much per order to see how it changes the results:)
It is called the "Ultimate T3 Fibonacci Indicator by NHBprod" that computes and displays two T3-based moving averages derived from price data. The t3_function calculates the Tilson T3 indicator by applying a series of exponential moving averages to a combined price metric and then blending these results with specific coefficients derived from an input factor.
The script accepts several user inputs that toggle the use of the T3 filter, select the buy signal method, and set parameters like lengths and volume factors for two variations of the T3 calculation. Two T3 lines, T3 and T32, are computed with different parameters, and their colors change dynamically (green/red for T3 and blue/purple for T32) based on whether the lines are trending upward or downward. Depending on the selected signal method, the script generates buy signals either when T32 crosses over T3 or when the closing price is above T3, and similarly, sell signals are generated on the respective conditions for crossing under or closing below. Finally, the indicator plots the T3 lines on the chart, adds visual buy/sell markers, and sets alert conditions to notify users when the respective trading signals occur.
The user has the ability to tune the parameters using TP/SL, date timerames for analyses, and the actual parameters of the T3 function including the buy/sell signal! Lastly, the user has the option of trading this long, short, or both!
Let me know your thoughts and check out the backtest report!
zavaUnni-bitcoin signals(1day)
📌 This strategy predicts price movements based on trading volume and enters positions accordingly. It calculates the expected price increase based on bullish volume and the expected price decrease based on bearish volume to determine the direction of the position.
Top predicted price based on declining bullish volume: top_ifpricebull
Bottom predicted price based on declining bearish volume: top_ifpricebear
Top predicted price based on increasing bullish volume: bot_ifpricebull
Bottom predicted price based on increasing bearish volume: bot_ifpricebear
Using these four values, the strategy calculates the final maxprice and minprice based on volume. If the price settles above the max value, it indicates an upward trend; if it settles below the min value, it indicates a downward trend.
📌 The indicator does not solely rely on the maxprice and minprice conditions. It incorporates complex and sophisticated analysis by considering average volume and candle size.
During a decline, if the average volume and spread of bullish candles exceed those of bearish candles and the price settles above the max value, a long position is entered.
During a rise, if the average volume and spread of bearish candles exceed those of bullish candles and the price settles below the min value, a short position is entered.
Even if the above conditions are met, if the buying pressure significantly outweighs the selling pressure, the position will be closed, but a reverse position will not be entered.
Reviewing historical data shows that while there are instances where the position switches from long to short immediately, there are also cases where the position is closed and re-entered after a few candles.
📌 Trading volume is one of the most traditional yet essential indicators, accurately reflecting price direction. This strategy, which simultaneously predicts fundamental trading volume and price changes, consistently achieves a profit factor above 3.
Characteristics and Historical Data of the Strategy
🔴 Short position entry: April 11, 2022
🟢 Long position entry after closing short: January 11, 2023
⚫ Short position holding period: 270 days
🟢 Long position entry: October 9, 2020
🔵 Long position exit: November 30, 2019
⚫ Long position holding period: 52 days
🟢 Long position entry: November 30, 2019
🔵 Long position exit: February 22, 2021
⚫ Long position holding period: 84 days
Settings Explanation
🛠️ In the input, you can choose between spot and futures. Buy and sell signals are generated in spot trading, while long and short signals are generated in futures trading.
🌈 You can configure the screen view.
Fibonacci Trend
Falling Fibonacci levels from the top: 382 and 618 levels (Red lines)
Rising Fibonacci levels from the bottom: 382 and 618 levels (Green lines)
When the price stays within the 382 and 618 levels of the falling Fibonacci, the background turns red; when it stays within the 382 and 618 levels of the rising Fibonacci, the background turns green.
Real-time Volume Strength of Bullish and Bearish Candles
Red arrow: Appears when the strength of bearish candles increases
Green arrow: Appears when the strength of bullish candles increases
Cumulative Volume of Bullish and Bearish Candles during the Trend
Cumulative data of falling bullish and bearish candles from the top
Cumulative data of rising bullish and bearish candles from the bottom
Profit Table
Provides annual and monthly profit tables.
Setting Options
You can change the options in the attributes to test different configurations.
📌 Trading Data
Although Binance data starts from 2017, limiting the number of trades to 60 as of July 2024, this does not undermine the validity of the strategy. Binance provides reliable volume data, which is crucial for evaluating the strategy's performance. In contrast, exchanges like Bitstamp may have longer trading histories but insufficient volume to properly assess the strategy's actual performance. A volume-based strategy cannot be reliably tested on an exchange with low trading volume. Therefore, despite the limited number of trades on Binance, its reliable volume data justifies its use for this strategy.
► Backtesting Details:
Timeframe: 1D / Bitcoin / TetherUS
Initial Balance: $50,000 (Enter the initial capital you will invest)
Order Size: 10% (Enter the percentage of your account balance you will trade)
Commission: 0.04% (Enter the trading commission)
Slippage: 10 ticks (Enter the slippage you want to test)
When using the strategy:
📢 Timeframe: While the strategy performs well on timeframes lower than daily, it is particularly profitable on the daily timeframe.
📢 Exchange: It is recommended to use Binance due to its reliable volume data.
📢 This strategy is suitable for traders who have the patience to hold positions for extended periods, as it calculates the size of bullish and bearish candles carefully and does not change positions easily.
📢 Spot trading is recommended over futures, and if using futures, leverage should be limited to a maximum of 2x.
Intelle_city - World Cycle - Ath & Atl - Logarithmic - Strategy.Overview
Indicators: Strategy !
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Strategy - The Pi Cycle Top and Bottom Oscillator is an adaptation of the original Pi Cycle Top chart. It compares the 111-Day Moving Average circle and the 2 * 350-Day Moving Average circle of Bitcoin’s Price. These two moving averages were selected as 350 / 111 = 3.153; An approximation of the important mathematical number Pi.
When the 111-Day Moving Average circle reaches the 2 * 350-Day Moving Average circle, it indicates that the market is becoming overheated. That is because the mid time frame momentum reference of the 111-Day Moving Average has caught up with the long timeframe momentum reference of the 2 * 350-Day Moving Average.
Historically this has occurred within 3 days of the very top of each market cycle.
When the 111 Day Moving Average circle falls back beneath the 2 * 350 Day Moving Average circle, it indicates that the market momentum of that cycle is significantly cooling down. The oscillator drops down into the lower green band shown where the 111 Day Moving Average is moving at a 75% discount relative to the 2 * 350 Day Moving Average.
Historically, this has highlighted broad areas of bear market lows.
IMPORTANT: You need to set a LOGARITHMIC graph. (The function is located at the bottom right of the screen)
IMPORTANT: The INTELLECT_city indicator is made for a buy-sell strategy; there is also a signal indicator from INTELLECT_city
IMPORTANT: The Chart shows all cycles, both buying and selling.
IMPORTANT: Suitable timeframes are 1 daily (recommended) and 1 weekly
-----------------------------
Описание на русском:
-----------------------------
Обзор индикатора
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Strategy - Логарифмический - Сигнал - Осциллятор вершины и основания цикла Пи представляет собой адаптацию оригинального графика вершины цикла Пи. Он сравнивает круг 111-дневной скользящей средней и круг 2 * 350-дневной скользящей средней цены Биткойна. Эти две скользящие средние были выбраны как 350/111 = 3,153; Приближение важного математического числа Пи.
Когда круг 111-дневной скользящей средней достигает круга 2 * 350-дневной скользящей средней, это указывает на то, что рынок перегревается. Это происходит потому, что опорный моментум среднего временного интервала 111-дневной скользящей средней догнал опорный момент импульса длинного таймфрейма 2 * 350-дневной скользящей средней.
Исторически это происходило в течение трех дней после вершины каждого рыночного цикла.
Когда круг 111-дневной скользящей средней опускается ниже круга 2 * 350-дневной скользящей средней, это указывает на то, что рыночный импульс этого цикла значительно снижается. Осциллятор опускается в нижнюю зеленую полосу, показанную там, где 111-дневная скользящая средняя движется со скидкой 75% относительно 2 * 350-дневной скользящей средней.
Исторически это высветило широкие области минимумов медвежьего рынка.
ВАЖНО: Выставлять нужно ЛОГАРИФМИЧЕСКИЙ график. (Находиться функция с правой нижней части экрана)
ВАЖНО: Индикатор INTELLECT_city сделан для стратегии покупок продаж, есть также и сигнальный от INTELLECT_сity
ВАЖНО: На Графике видны все циклы, как на покупку так и на продажу.
ВАЖНО: Подходящие таймфреймы 1 дневной (рекомендовано) и 1 недельный
-----------------------------
Beschreibung - Deutsch
-----------------------------
Indikatorübersicht
INTELLECT_city – Weltzyklus – ATH & ATL – Zeitrahmen 1T und 1W – Logarithmisch – Strategy – Der Pi-Zyklus-Top- und Bottom-Oszillator ist eine Anpassung des ursprünglichen Pi-Zyklus-Top-Diagramms. Er vergleicht den 111-Tage-Gleitenden-Durchschnittskreis und den 2 * 350-Tage-Gleitenden-Durchschnittskreis des Bitcoin-Preises. Diese beiden gleitenden Durchschnitte wurden als 350 / 111 = 3,153 ausgewählt; eine Annäherung an die wichtige mathematische Zahl Pi.
Wenn der 111-Tage-Gleitenden-Durchschnittskreis den 2 * 350-Tage-Gleitenden-Durchschnittskreis erreicht, deutet dies darauf hin, dass der Markt überhitzt. Das liegt daran, dass der Momentum-Referenzwert des 111-Tage-Gleitenden-Durchschnitts im mittleren Zeitrahmen den Momentum-Referenzwert des 2 * 350-Tage-Gleitenden-Durchschnitts im langen Zeitrahmen eingeholt hat.
Historisch gesehen geschah dies innerhalb von 3 Tagen nach dem Höhepunkt jedes Marktzyklus.
Wenn der Kreis des 111-Tage-Durchschnitts wieder unter den Kreis des 2 x 350-Tage-Durchschnitts fällt, deutet dies darauf hin, dass die Marktdynamik dieses Zyklus deutlich nachlässt. Der Oszillator fällt in das untere grüne Band, in dem der 111-Tage-Durchschnitt mit einem Abschlag von 75 % gegenüber dem 2 x 350-Tage-Durchschnitt verläuft.
Historisch hat dies breite Bereiche mit Tiefstständen in der Baisse hervorgehoben.
WICHTIG: Sie müssen ein logarithmisches Diagramm festlegen. (Die Funktion befindet sich unten rechts auf dem Bildschirm)
WICHTIG: Der INTELLECT_city-Indikator ist für eine Kauf-Verkaufs-Strategie konzipiert; es gibt auch einen Signalindikator von INTELLECT_city
WICHTIG: Das Diagramm zeigt alle Zyklen, sowohl Kauf- als auch Verkaufszyklen.
WICHTIG: Geeignete Zeitrahmen sind 1 täglich (empfohlen) und 1 wöchentlich
Momentum Alligator 4h Bitcoin StrategyOverview
The Momentum Alligator 4h Bitcoin Strategy is a trend-following trading system that operates on dual time frames. It utilizes the 1D Williams Alligator indicator to identify the prevailing major price trend and seeks trading opportunities on the 4-hour (4h) time frame when the momentum is turning up. The strategy is designed to close trades if the trend fails to develop or holding position if price continues increasing without any significant correction. Note that this strategy is specifically tailored for the 4-hour time frame.
Unique Features
2-layers market noise filtering system: Trades are only initiated in the direction of the 1D trend, determined by the Williams Alligator indicator. This higher time frame confirmation filters out minor trade signals, focusing on more substantial opportunities. At the same time, strategy has additional filter on 4h time frame with Awesome Oscillator which is showing the current price momentum.
Flexible Risk Management: The strategy exclusively opens long positions, resulting in fewer trades during bear markets. It incorporates a dynamic stop-loss mechanism, which can either follow the jaw line of the 4h Alligator or a user-defined fixed stop-loss. This flexibility helps manage risk and avoid non-trending markets.
Methodology
The strategy initiates a long position when the d-line of Stochastic RSI crosses up it's k-line. It means that there is a high probability that price momentum reversed from down to up. To avoid overtrading in potentially choppy markets, it skips the next two trades following a winning trade, anticipating sideways movement after a significant price surge.
This strategy has two layers trades filtering system: 4h and 1D time frames. The first one is awesome oscillator. It shall be increasing and value has to be higher than it's 5-period SMA. This is an additional confirmation that long trade is opened in the direction of the current momentum. As it was mentioned above, all entry signals are validated against the 1D Williams Alligator indicator. A trade is only opened if the price is above all three lines of the 1D Alligator, ensuring alignment with the major trend.
A trade is closed if the price hits the 4h jaw line of the Alligator or reaches the user-defined stop-loss level.
Risk Management
The strategy employs a combined approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined stop-loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 2% drop from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Stochastic RSI on 4h time frame to open long trade when momentum started reversing to the upside. On the one hand, Stochastic RSI is one of the most sensitive indicator, which allows to react fast on the potential trend reversal. On the other hand, this indicator can be too sensitive and provide a lot of false trend changing signals. To eliminate this weakness we use two-layers trades filtering system.
The first layer is the 4h Awesome oscillator. This is less sensitive momentum indicator. Usually it starts increasing when price has already passed significant distance from the actual reversal point. The strategy opens long trade only is Awesome oscillator is increasing and above it's 5-period SMA. This approach increases the probability to filter the false signals during the choppy market or if the reversal is false.
The second layer filter is the Williams Alligator indicator on 1D time frame. The 1D Alligator serves as a filter for identifying the primary trend and increases probability to avoid the trades with low potential because trading against major trend usually is more risky. It's much better to catch the trend continuation than local bounce.
Last but not least feature of this strategy is close trades condition. It uses the flexible approach. First of all, user can set up the fixed stop-loss according to his own risk-tolerance, by default this value is 2% of price movement. It restricts the potential loss at the moment when trade has just been opened. Moreover strategy utilizes the 4h Williams Alligator's jaw line to exit the trade. If price fell below it trade is closed. This approach helps to not keep open trade if trend is not developing and hold it if price continues going up.
Backtest Results:
Operating window: Date range of backtests is 2021.01.01 - 2024.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 50%
Maximum Single Position Loss: -3.04%
Maximum Single Profit: +29.67%
Net Profit: +6228.01 USDT (+62.28%)
Total Trades: 118 (24.58% win rate)
Profit Factor: 1.71
Maximum Accumulated Loss: 1527.69 USDT (-11.52%)
Average Profit per Trade: 52.78 USDT (+0.89%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use:
Add the script to favorites for easy access.
Apply to the 4h timeframe desired chart (optimal performance observed on the BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
SOFEX Strong Volatility Trend Follower + BacktestingWhat is the SOFEX Strong Volatility Trend Follower + Backtesting script?
🔬 Trading Philosophy
This script is trend-following, attempting to avoid choppy markets.
It has been developed for Bitcoin and Ethereum trading, on 1H timeframe.
The strategy does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Expectations of performance should be realistic.
The script focuses on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto the idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
⚙️ Logic of the indicator
The Strong Volatility Trend Follower indicator aims at evading ranging market conditions. It does not seek to chase volatile, yet choppy markets. It aims at aggressively following confirmed trends. The indicator works best during strong, volatile trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages proprietary adaptive moving averages to identify and follow strong trend volatility effectively. Furthermore, it uses the Average Directional Index, Awesome Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations. It also helps to distinguish choppy-market volatility with a trending market one.
📟 Parameters Menu
The script has a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicator to your preferred cryptocurrency market.
Indicator Sensitivity Parameter : Adjust the sensitivity to adapt the indicator, particularly to make it seek higher-strength trends.
Indicator Signal Direction : Set the signal direction as Long, Short, or Both, depending on your preference.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
Big Whale Purchases and SalesBig Whale Purchases and Sales - plots big whale transactions on your chart!
People that hold more than 1% of a crypto currencies circulating supply are considered whales and have a huge influence on price, not just because they can move the market with their huge transactions, but also because other traders often track their wallets and follow their example. Taking a look at whale holdings, one can see why whale worship is so common in crypto: While Bitcoin has a relatively low whale concentration, many of the Top 100 Cryptocurrencies have whales control 60% or more of their circulating supply.
Integrating IntoTheBlock data, this script plots the transactions of these whales and, in strategy mode, copy trades them.
Features:
Strategy Mode: Switches the script between an indicator and a strategy.
Standard Deviations: The number of Standard Deviations that a transaction needs to surpass to be considered worth plotting. Setting this to 0 will show all whale transactions, higher settings will only show the biggest transactions.
Blockchain: The Chain on which Whale activity is tracked.
