Crypto Spot Market Bot | BacktestHello Friends.
This script is only for long positions.
How does the algorithm work ?
The Relative Momentum Index
Relative Strength İndex
Average Directional Movement İndex
Momentum
When rsi and adx produce signals in the same direction, the rmi indicator confirms the signal. After the Confirmed Signal, the buy-side transaction is entered , the closed according to the % of profit taking and stoploss specified on the algorithm in the entered transaction.
In the spot market, it is possible to make money even in a down trend
All shared charts run within a 1-hour time frame.
Note : The shared backtest results have been shared as of 9/9/2021 by calculating 50% balance and 2 pyramiding methods in an account of 1000 dollars. Keep in mind that this algorithm will want to try to average down in possible worst-case scenarios. 2% - %3take profit levels will provide consecutive gains in the spot market.
How should the adjustments be made?
Value variables should be made according to formula a and formula b values and backtest results. You can increase the frequency of transactions by lowering the adx and rsi values.
Overview :
在腳本中搜尋"algo"
v1 Automatic Trading Bot | BacktestHello Friends.
We have been working on this script for a long time. Briefly, our scenario works as follows.
This test data includes results as of January 1, 2022 using a balance of $1000 and 10%.
WORKİNG LOGİC :
Relative Strength Index
Directional Movement Index
Relative Momentum Index
Indicators are Blended.
1 conditions are met in the overbought and oversold zone.
If the Directional Movement Index Signal is in the same direction, If all signals are in the same decision, it will be position.
We can set the take profit and stop loss levels on the algorithm as % over the entry price.
HOW TO ADJUST :
Formula a and formula b values are adjusted by increments or decrements of 1 each. these adjustments should be changed according to the time frame and chart layout.
You do not need to intervene in overbought and oversold zones. The Best Values were thus deemed appropriate.
If you still want to intervene, you need to know; When you change the overbought and oversold values, the entry time and risk will increase.
Together with the backtest script we are able to adjust the algorithm to all timeframes.
For example, while these settings are ideal for 5 minutes, it is necessary to change the strenght and formul values for a 15-minute period. This provides a user-specific adjustable strategy.
There are 6 different triggers in total on the alarm version.
Enter a long position.
Long position take profit
Long position stop loss
Enter a Short position.
Short position take profit
Short position stop loss
Currently, one platform is also connected to the binance exchange via an API .
The maximum leverage is set to 5 and a maximum of 5 trades are ordered to enter.
I will post the alarm version soon.
Good Luck Everyone !
Cava Signals Backtesting/VisualizerPLEASE READ THE DESCRIPTION CAREFULLY
Trying this again, as it seems I keep violating the rules unintentionally. Moderator, please forgive me as I try to make this right.
This backtesting/visualizer script was created for me to get a visual idea of the Cava Signals indicator throughout its development time and continuous optimization.
This script is to be used on the 30-minute timeframe on supported markets, and whether I can only publish strategies on regular candles, the indicator is meant to trigger on heikin ashi candles.I understand backtesting on non-regular candles produces unrealistic results, but I emphasize that this script is more for visualization purposes rather than accurate $ amounts from the trades. The signals are used along with a dedicated bot configuration, so part of the strategy is not managed by the script, but by the bot's config.
Some behind the scenes on what we are looking at:
a combination of ema and sma crosses on different time frames (5m, 15m, 30m, 60m and 90m) - we call this the wave trend
a combination of stochastic rsi on different time frames (10m, 30m)
a combination of schaff trend cycles on different time frames (5m, 20m and 30m)
a combination of money flow index on different time frames (10m and 30m)
volume information for each supported market/pair
and a couple of other info particular to each pair
With the above combination of data points, we try to optimize our strategy for an entry, for dca'ing down in case the coin goes down as well as dca'ing up to maximize profit when a coin is going up, take profit levels when we recognize a good time to do so, and of course, a closing level. I would like to emphasize the *visualization* purpose of this script in recognizing lows, highs, and market structure to identify the important levels to signal - this script is NOT to be used for accurate backtesting, but for an idea of the overall performance of when signals are triggered.
Let me try to explain the workflow and icons you see on the chart:
The colored circles on the bottom of the chart are all buy signals; each color corresponds to a particular buy signal, we have a combination of 9 possible situations that would trigger a buy signal. Some would trigger a buy signal only in combination with other buy signals or other indicators within the script. we also display a green upwards arrow below bars when a buy signal is triggered.
The colored arrows pointing down on the top of the chart are close signals. We have a combination of 5 closing criteria each color corresponds to one, just like the buy signals do. We only close a trade in profit. If not in profit, we will look to DCA down.
DCA signals are shown by the green flag above bars. they are signals to DCA up or down depending on the trade being negative or positive. DCA'ing up or down is also managed by the bot's configuration for limits on when to accept the signal.
Take Profit levels are shown by the green diamond above bars and work in conjunction with the bot's config on when to take the signal if at all and other take profit levels. Usually, when we hit the first take profit level we move our stop loss to entry via the bot's take profit safety feature. You can see this call with the close entry named TPS .
The black bars you may see on the chart is to illustrate when the market is extended based on a particular strategy. During this period we will not trigger a buy signal unless there is a huge spike in positive volume .
The green number below the bars is the total positive delta volume on the buy candles.
On the table on the right upper corner, we show some information on the market and performance of the backtesting - for visualization purposes only!
Currently, the script is tailored to work with the following markets/pairs:
Binance Spot: ADA, ALGO, ATOM, AVAX, BNB, BTC , DOT, ETH, LINK, LUNA, MATIC, SOL, VET, XRP, XTZ
Binance Futures: BTC , ETH, ADA, ALGO, ATOM, BNB, COMP, DOT, ENJ , LINK, OCEAN, OMG, SOL, VET, XMR, XRP, XTZ, AVAX, AAVE, DOGE, LTC, LUNA, MKR , NEAR, ONT, RUNE, SUSHI, LTC, XLM , COMP, ONT, THETA, FTM , EGLD , WAVES, ONE, HTN , CHZ , HOT, MANA, CRV , RVN, BAT, ANKR, 1INCH, ALICE, ATA , AXS , CHR , COTI, NKN , RAY, REN, SRM , SXP , TLM
ByBit Inverse Perpetual: BTCUSD , ETHUSD
ByBit Futures: AAVE, ADA, ALGO, AVAX, AXS , BNB, BTC , DOT, ETH, LINK, LTC, MATIC, SOL, SUSHI, UNI , XEM, XRP, XTZ
The chosen pairs are subject to change based on the best-performing assets we are constantly analyzing.
I hope this helps to understand the script, its purpose and ideas. I hope this satisfies the community rules - it was not my intention to break them - if there's anything on the above or the script that still violates the guidelines, please let me know and accept my apologies in advance.
If anyone would like to know more, let me know in the comment section.
Thank you!
alGROWithm Premium - Strategy TesterThe alGROWithm Strategy Tester is a supplement to the original alGROWithm indicator.
Use this strategy to do your own back testing and find the best settings that work for your asset of choice.
█ WHY THIS IS IMPORTANT
Different assets require different settings for optimal results. This strategy script will allow you back test different settings for alGROWithm in order to analyze key metrics such as win rate and P/L. TradingView functionality also enables you to view a high level performance summary and even see every single individual trade made by the algo.
█ BEST PRACTICES
Depending on the asset you are testing, it is very important to update the settings as needed. For example, if you are back testing on US30, you will likely need to increase the starting capital. For other assets, you may also need to change the order size to use the Contracts option.
It is important to decide for yourself which back testing parameter you will weigh more heavily in terms of importance. For example, a day trader may want to use a setting that maximizes win rate rather than profit % since we are humans and not computers. Further, it is highly recommended to utilize all of the rich features that TradingView provides with regards to back testing. For example, using the List of Trades tab, go back to find a failed trade and analyze the trade to see if you actually would have taken it in the moment.
After finding the best sensitivity for your asset, it is important to set that sensitivity value on the non-strategy version of alGROWithm for usage. Changing settings on this version will not carry over to the non-strategy version.
█ DEFAULT SETTINGS
We have set the following default settings on the strategy:
Starting capital: $100k
Order size: 30% of equity
Sell 1/5 of position every Take Profit level
Algonize Pivot Strategy (APS)This study is based on several Price Action parameters of :-
• Pivot Points,
• Higher High and Lower Lows,
• High Low Index ,
• Support and Resistance.
► How To Use This Strategy?
This is a pure scalping strategy and it is advised to use this only with algo trading systems. Due to high trade frequency.
► This Strategy has inbuilt custom time frame backtester, which enables you to test for performance between any date or check for a single day.
► To Create Alerts for algo trading in this strategy simply Check "Activate Algo" from Settings then Create new alert , select your strategy in condition box, and now scroll down to message box and write
{{strategy.order.comment}}
That's it , Just Click on Create Alert Button
Backtest Values Used:-
Initial Capital : 1000000
Order Size (Lots) : 1 (Contract) Lots
Pyramiding : 0 orders
Commission : 0.003%
Sharpe Ratio : 1.741
Profit Factor : 1.174
Test Yourself and give feedback.
PM us to obtain access.
Best strategy for TradingView (fake)Hello everyone! I want to show you this strategy so you don't fall for the tricks of scammers. On TradingView, you can write an algorithm (probably more than one) that will show any profit you want: from 1% to 100,000% in one year (maybe more)! This can be done, for example, using the built-in linebreak () function and several conditions for opening long and short.
I am sure that sometimes scammers show up on TradingView showing their incredible strategies. Will a smart person sell a profitable quick strategy? When a lot of people start using the quick strategy, it stops working. Therefore, no smart person would sell you a quick strategy. It is acceptable to sell slow strategies: several transactions per month - this does not greatly affect the market.
So, don't fall for the tricks of scammers, write quick strategies yourself.
About this strategy, I can say that the linebreak () function does not work correctly in it. Accordingly, the lines are not drawn correctly on the chart. They are drawn in such a way as to show the maximum profit. I watched this algorithm on a 1m timeframe - no lines are drawn in real time. This is a fake!
T3 ICL MACD STRATEGY
Backtested manually and received approx 60% winrate. Tradingview strategy tester is skewed because this program does not specify when to sell at profit target or at a stop loss.
Uses 1 min for entry and a longer time frame for confirmation (5,10,15, etc..) (Not sure what the yellow arrows are in the picture but they can be ignored)
Ideal Long Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert long. It first checks to see if the the ICL is greater than T3. Once that condition is met T3 must be green in order to enter long and finally the last closing price has to be greater than the ICL. You can use the MACD to further verify a long trend as well!
Ideal Short Entry - The algo uses T3 moving average (T3) and the Ichimoku Conversion Line (ICL) to determine when to enter a long or short position. In this case we are going to showcase what causes the algo to alert short. It first checks to see if the the ICL is less than T3. Once that condition is met T3 must be red in order to enter short and finally the last closing price has to be less than the ICL. You can use the MACD to further verify a long trend as well!
KundaliniThe Kundalini is a technical indicator. Based on algorithm calculations, this indicator extrapolates the previous price for the next bar. Plus addition Multi time frame ATR volatility Reading environment for higher conditions
Here is how Dominator is calculated:
1. The study estimates the price projected for the next bar. The estimated price is based on the algorithm method.
2. The study extrapolates this value to find a projected price change for the next bar.
The resulting extrapolated value is shown as a histogram on a lower subgraph. By default, sections of the histogram where the extrapolated value is increasing are shown in green; sections corresponding to the decreasing value are shown in red.
Note: Value projection is purely mathematical as all calculations are based on algorithm averaging of previous values.
Overlay True
The strategy includes 3 different adjustable levels for the ladder , plus automatic adjustable stop loss and takes profit calculated from your average entry price after each ladder adds.
Adjustable BAcktest Window.
1 long signals
3 ladder long add signals
1 short signals
3 ladder short add signals
1 dynamic stop calculated from your average entry price
1 dynamic take profit calculated from your average entry price
Please Private Msg me if you like more info about the script Full pdf available or if you need access to it
thx for your time and support
Dominator Ladder StrategyThe Dominator is a technical indicator. Based on algorithm calculations, this indicator extrapolates the previous price for the next bar.
Here is how Dominator is calculated:
1. The study estimates the price projected for the next bar. The estimated price is based on the algorithm method.
2. The study extrapolates this value to find a projected price change for the next bar.
The resulting extrapolated value is shown as a histogram on a lower subgraph. By default, sections of the histogram where the extrapolated value is increasing are shown in green; sections corresponding to the decreasing value are shown in red.
Note: Value projection is purely mathematical as all calculations are based on algorithm averaging of previous values.
Note: lower subgraph it's just for you to understand and view the waves during the Strategy process Study it's not included in this strategy.
Overlay True
The strategy includes 3 different adjustable levels for the ladder , plus automatic adjustable stop loss and takes profit calculated from your average entry price after each ladder adds.
Adjustable BAcktest Window.
1 long signals
3 ladder long add signals
1 short signals
3 ladder short add signals
1 dynamic stop calculated from your average entry price
1 dynamic take profit calculated from your average entry price
Detrended Price Oscillator StrategyTHIS IS THE STRATEGY VERSION
What is DPO?
A detrended price oscillator is an oscillator that strips out price trends in an effort to estimate the length of price cycles from peak to peak or trough to trough. Unlike other oscillators, such as the stochastic or moving average convergence divergence (MACD), the DPO is not a momentum indicator. It highlights peaks and troughs in price, which are used to estimate buy and sell points in line with the historical cycle.
(From Investopedia )
Indicator features:
Responds faster than the original code.
Added alternative smoothing algorithms. Defaults to Ehler's Optimum Elliptic filter instead of the orginal SMA
IPOCS - can start printing out data at day 1 instead of waiting for 14 or 20 bars
Dynamic colors
Auto timeframe detection to adjust period/length
How to use:
Buy above zero
Sell below zero
Who is it for?
Long term investors - this is the perfect indicator for those who buy and hold
CLI : micro variations strategyDisclaimer :
This script is exclusively reserved to business customers.
There's no free trial.
For any request, drop us a private message.
_____________________________________________________________
Hello TV community,
Let us present our internal script strategy :
The core algorithm focuses on micro-variations (μ.var feature) calculations.
It has been developed in order to be timeframe independent : as a consequence, μ.var feature will keep a similar value scale amongst timeframes.
Preventing from any lags, the core algorithm detects any minimal and to be considered trend change (signal feature).
It's definitely a great tool for scalpers due to its core feature (micro-variations focused).
Sincerely,
SECURIX
________________________
Risk Warning : The value of your investments can go down as well as up, so you could get back less than you invested. Past performance is no guarantee of future returns.
Trend SR based strategyIt is a logical continuation of my Trend SR based indicator
Algo of strategy is next
1)Detect SR levels
2)Calculate separate channels for SR made by highs and lows
3)it takes position if the current SR is breaking and close price is not in opposite channel zone
4)It closes position if prise leave current channel zone or as an option (stoploss) if SR is breaking in an opposite direction
-uses //@version=4
-no volume needed for detecting SR breaking and entering a long position
-volume confirmation of SR breaking may be used in the option section
-volume has an option to use smoothing with MA: SMA, AHMA, VIDYA
-volume has option to use volume pump as confirmation of SR breaking (simple dev function)
-stoploss as option
-uses barstate.isconfirmed (returns true if the script is calculating the last (closing) update of the current bar) for entering position on current bar close
-as an option, all or only current SR levels detected by algo can be plotted
-option to plot SR as a channel - as FILTERED whole SR history, in a long or short position it plots only stoploss level and entering opposite position level, in no position it plots long and short entering levels
It works well on 1D
For using on 4h or lower timeframes - Volume confirmation with VIDYA or AHMA may give better results
For better work especially on LTF algo needs better detection of highs and lows, now it uses fractal filter of last bars
Dompeet Pompeet (Breakout bot)Dompeet Pompeet is my first attempt at a viable swingtrading algo.
It uses volatility and some trend analysis to enter trade when the market is about to breakout or break down. Having a trailing stop locks in profits and prevents runaway losses for low drawdown and 2:1 profit factor.
Settings to use:
BTCUSD or XBTUSD
4hr Timeframe or 2hr or 1hr (not shorter)
Bars window: 13, 16 or 20 bars
Moving average settings: 100/10 EMA to confirm trend
Trade the Trend - check on to only take trades long in a confirmed uptrend (vice versa short), otherwise it will attempt to buy and sell counter trend, which increases profits but also increases loss rate.
Trailing stop, values from 2-5% give the best results.
Take with a pinch of salt, there are some bugs in pine script which are difficult to track down but overall I'm pleased with the idea.
Trend tracking strategy of proprietary traders-RabbitThis is my latest strategy integration. It is a combination of trend tracking strategy and visualization trend. I believe it will bring you a clear trend discrimination and relatively reliable trading signal hints.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Statement of strategy concept:
The concept of strategy is trend tracking. The formation and continuation of trend is the product of speculation market for thousands of years. There are various strategies including CTA trend strategy, shock regression strategy, grid strategy, Martin strategy, Alpha strategy and so on. These strategies have their own merits just like different schools of Chinese knight-errant. Choose one, a master is not able to do hundreds of tricks, but to practice one trick thousands of times.
Every strategy has its own right and wrong. Trading is not violence, but a process of advancing, retreating, and making profits steadily. Therefore, the use of trend tracking strategy must overcome greed in human nature, profit and loss homology, dare to bear the shock of withdrawal in order to make a big profit when the real trend arrives. (Of course, this strategy has largely avoided filtering shocks, which will be explained later.)
Policy-building instructions:
Any trend tracking strategy can produce good results when there is a trend, so judging whether a trend strategy is good or bad depends on its withdrawal performance when it is shaking. This CTA trend tracking strategy uses Kauffman adaptive algorithm, fractal adaptive dimension, self-research algorithm and other tools, and has largely avoided filtering the signal in the shock without delay to follow the trend.
New version of the note:
The latest version adds the trend drawing of negativity, which can clearly distinguish the rising or falling or oscillating trend. However, the algorithm of strategy signal has no direct relationship with trend color. Trend color helps you to distinguish trend, and point signal helps you to refer to trade. This strategy is only a simple trading signal, risk control, warehouse management also need manual operation.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Good luck to all of you and a smooth deal.~
Trend tracking strategy of proprietary traders-RabbitThis is my latest strategy integration. It is a combination of trend tracking strategy and visualization trend. I believe it will bring you a clear trend discrimination and relatively reliable trading signal hints.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Statement of strategy concept:
The concept of strategy is trend tracking. The formation and continuation of trend is the product of speculation market for thousands of years. There are various strategies including CTA trend strategy, shock regression strategy, grid strategy, Martin strategy, Alpha strategy and so on. These strategies have their own merits just like different schools of Chinese knight-errant. Choose one, a master is not able to do hundreds of tricks, but to practice one trick thousands of times.
Every strategy has its own right and wrong. Trading is not violence, but a process of advancing, retreating, and making profits steadily. Therefore, the use of trend tracking strategy must overcome greed in human nature, profit and loss homology, dare to bear the shock of withdrawal in order to make a big profit when the real trend arrives. (Of course, this strategy has largely avoided filtering shocks, which will be explained later.)
Policy-building instructions:
Any trend tracking strategy can produce good results when there is a trend, so judging whether a trend strategy is good or bad depends on its withdrawal performance when it is shaking. This CTA trend tracking strategy uses Kauffman adaptive algorithm, fractal adaptive dimension, self-research algorithm and other tools, and has largely avoided filtering the signal in the shock without delay to follow the trend.
Additional notes for the new version:
The latest integrated version has increased the visualization of trends. It can clearly distinguish the trend of ups and downs or consolidation shocks based on chart color. However, trading signals are not calculated according to color changes, but the visualization helps you identify trends and signals help you to refer to sales.
This is only a simple trading signal strategy, and the other warehouse management and risk control need manual completion operation.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Good luck to all of you and a smooth deal.~
Readjusting Alpha (RA-1)The basis for this algorithm is an EMA 50/200 crossover protocol with one significant difference: it readjusts (or "learns") whether the original EMA crossover strategy is profitable based on its past performance and flips the conditions accordingly. The result is improved performance on relatively all timeframes in all statistical categories. There are options for long- and short-only trigger conditions. This algorithm is by invite only. If you have any questions about the algorithm, feel free to contact me.
Happy trades,
Sim
Matrix Trend Reverse EngineeringSelling algorithms.
Contact me to code your own indicators or strategy.
🚀 QuantSignals AI Trend Strategy 15M🚀 QuantSignals AI Trend Strategy 15M — Dominate Intraday Trends with AI Power
🔒 Protected Source | 📈 Verified Performance | ⏱ Optimized for 15M Charts
🔥 Overview
Welcome to the QuantSignals AI Trend Strategy — an institutional-grade, AI-powered trend-following algorithm built for traders who demand performance, clarity, and edge.
Engineered for 15-minute charts, this strategy is the result of advanced AI research, trading expertise, and real-world backtesting. It delivers high-quality trend entries, dynamic risk management, and a fully visual performance dashboard — all in a clean, no-nonsense package.
🔑 Perfect for crypto, forex, and major indices.
💡 Key Features
✅ AI-Driven Signal Engine
Detects strong momentum shifts & breakouts
Smart filtering reduces false signals
Sensitivity control to match your style
✅ Institutional-Level Risk Management
Dynamic stop loss, take profit, and trailing stop
% equity risk-based position sizing
Full exit logic for both long and short positions
✅ Smart Support & Resistance
Auto-calculated pivot levels
Visual zones for reversals and breakouts
✅ Visual Performance Dashboard
Net profit, win rate, profit factor
Current trend strength and market condition
Real-time signal status & open position
✅ Multi-Timeframe Sync (Premium Logic)
Smart confirmation from higher timeframes
Unlock full power inside the Discord community
📊 Why Traders Love It
🔹 Beginner-Friendly: Visual signals, easy inputs, auto-risk calc
🔹 Backtested & Proven: Built-in strategy tester integration
🔹 Customizable: Tweak signal sensitivity, filter strength, session hours
🔹 Premium Upgrade Ready: This free version is just the beginning...
🎁 What You Get
🔓 Protected script (source hidden)
🎯 Full visual trade entries & exits
⚡ Real-time alerts (BUY / SELL / FLAT)
💰 Built-in dashboard to track live P&L
📚 In-code guidance and intuitive parameters
💎 Premium Version Includes:
Full source code access
Advanced AI signal layers (order flow, sentiment, etc.)
Multi-asset correlation
Higher timeframe confirmation
Exclusive premium strategies (85%+ win rate)
Live alerts across assets (crypto, stocks, forex)
➡️ Join Our Community: 🌐 quantsignals.xyz
➡️ Discord Access: 📱 /quantsignals
📸 Screenshots (Suggested Uploads for Listing)
Full-chart view with QS trend lines, support/resistance
Close-up of BUY/SELL signals
Strategy Tester tab showing win rate, net profit
Dashboard with signal quality, trend status, and profit factor
Visual of dashboard in corner with active position info
🧠 Ideal For:
Day traders seeking high-probability signals
Quant traders needing trend logic for automation
Crypto & forex traders focused on short-term moves
Anyone ready to upgrade their edge with AI-based systems
✅ TradingView Requirements
Strategy script, not indicator
Works on any 15-minute chart
Protected source (no code exposed)
🚨 Risk Disclaimer
All trading involves risk. Historical performance is not indicative of future results. This script is a tool — use it with proper risk management and discretion.
GOLD DR Long WAVE E🎯 GOLD DR – The revolutionary indicator, now in an upgraded version!
Majorly enhanced from the previous version – featuring a smarter, faster, and more powerful algorithm.
Built with advanced logic tailored to market cycles, inspired by Elliott Wave theory, translating complex moves into clear, high-confidence signals.
📈 Real-time bullish divergence detection, laser-focused entries, and intelligent exits – all live, directly on your chart.
⚡ Perfect for those who know that having the right tool makes all the difference – and that timing is king in the market.
⚠️ Not for the impatient – this indicator is for traders with patience and their eyes on the prize.
GOLD DR Long with ADX, TP2, ZLSMA & WAVE🎯 **GOLD DR** – An indicator that activates when most traders are still hesitating.
Built on advanced logic with a unique alignment to market cycles.
The algorithm draws inspiration from Elliott Wave theory, translating complex structures into clean, high-confidence signals.
📈 Real-time bullish divergence detection, precise entries, and planned exits — all directly on the chart.
⚠️ Not for the impatient.
For traders who understand that **timing** is the strongest voice in the market.
WaveSurfer StrategyThis is a quant trading strategy that can be used to automate your trading. The first thing you will see in the settings popup is blocks where text can be entered. You can enter your automated trading messages here that will be sent to your exchange or third party application. Check with them to identify exactly how the buy and sell text should be configured. Put this {{strategy.order.alert_message}} in the alert message box and it will pull the buy and sell text from these settings boxes.
This trading strategy is designed to trade cryptocurrencies on the 1 hour timeframe. Other timeframes can be used but this is where I have found success. It uses a fairly complex algorithm to determine Long Buy and Sell opportunities. Each assets settings need to be optimized using back testing due to differences in volatility, volume, and risk. I provide optimized settings for the coins I trade here . As with any trading strategy, no amount of gains can be guaranteed. There is always risk of taking losses. Do not trade more than you are willing to lose.
The backbone of the strategy uses Bollinger Bands to measure the market trend. Bollinger Band Width(BBW) moves in waves. Waves over 0.2 are considered strong movements. Bollinger Band Percent(BB%) is used to determine wave direction, Bullish or Bearish. The strategy calculates BBW Slope and it is critical in determining status of the Bullish or Bearish wave. For example, if a strong Bullish wave is above 0.2 and slope is positive, this means to hold as the wave continues to accumulate gains. When slope turns negative, it is a signal that the wave is ending and opens more opportunities for the strategy to sell. Under certain conditions the waves can be considered neutral, especially when BBW is under 0.2.
BBW waves are given a score -5 through 5. These scores are used throughout the strategy to determine which Buy and Sell limits to use. Here is what the scores mean:
0 = Neutral, 1->3 = Beginning of Bullish wave, 4 = Strong Bullish wave, 5 = End of Bullish wave
0 = Neutral, -1->-3 = Beginning of Bearish wave, -4 = Strong Bearish wave, -5 = End of Bearish wave
During each of these trends the strategy offers different buy and sell opportunities that can be configured in settings. Hull moving averages are used for determining Buy/Sell crossovers and the Phase of the trade. The Phase of a trade if telling the strategy which Sell limits to use to determine when to sell. Phase 1 represents Bearish trend sell limits, Phase 2 represents Neutral trend sell limits, and Phase 3 represents Bullish trend sell limits. For example, if a Buy is triggered during a Bear trend, the trade will start in Phase 1. As the price moves up to Neutral within the Bollinger Bands it will move to Phase 2 and sell limits will move up. If price continues to rise into Bullish BBW trend it will change to Phase 3 and use Sell limits that will allow price to grow while the wave remains bullish.
Bearish Buys: Bearish Buys are designed to buy at a low peak. It uses Bollinger Band Mid line slope(Generally below -0.3), BB% very low(Generally below 0.0), and the trigger is RSI crossing up around 25-30. There are three different types of Bear Buys but they are all slight variations of this same technique. Again, all these settings need to be optimized using back testing. A more volatile coin will drop lower and with more intensity than a more stable coin. All Bear Buys will start in phase 1 with tight stop loss limits to protect against further drops. If prices does not recover quickly and moves sideways the sell limit will adjust(typically moving up) with each low pivot(assuming it is still above the original low that triggered the buy). There are also emergency sell options that can be configured.
Neutral Buys: Neutral Buys trigger when the Hull Moving Average crosses above the Bollinger Bands mid-point, generally want to use around 0.6. There is an option to buy only when BBW is below 0.2, meaning weak trend/Neutral. Neutral Buys will start with Phase 3 Sell limits.
Bullish Buys: There are a few different Bullish Buy options but these can be risky due to false breakouts which can result in higher losses if price reverses and drops quickly. All Bullish Buys start with Phase 3 Sell limits. One type of Bullish Buy is Level breakout. The recent high is always calculated using the pivot function and is displayed on the screen with the thick red dotted line. If you are using the Level buy option it will buy when the price breaks above this high level for consecutive candles. But the best bullish Buy option is Cycle Buy Late. This will buy when cycle crosses above 2, into Bull trend 3 or 4.
These examples shows the gold sell line adjust during the pivot and the Phase changes. It maintains decent gain even as price fails to move up in Phase 3. The thin yellow line is a Cycle Sell option that sells during cycles 5(Wave ending) and 0(Neutral). All these limits can be adjusted in settings:
This example shows Phase 3 sell limits allowing price to grow. The thin yellow line is an additional sell line that is higher than standard sell in this example but only triggers when Cycle is 5(wave ending) or 0(Wave Neutral):
Quantum Scalper Pro – Adaptive EMA/VWAP Hybrid Engine🧠 Quantum Scalper Pro – Adaptive EMA/VWAP Hybrid Engine
Experimental version under development
This strategy combines a hybrid technical analysis system based on:
Multiple EMAs and smoothed VWAP
Higher timeframe trend confirmation
Dynamic ATR-based breakout entries
Engulfing patterns and RSI divergences
Adaptive risk management and smart re-entry logic
📈 The algorithm includes filters for consolidation zones, abnormal volume, outlier candles, and dynamically adjusts key parameters based on the selected timeframe.
🛡️ The risk management system is fully adaptive, scaling take-profit and stop-loss levels based on current volatility (ATR), with exit logic triggered by EMA/MVWAP crossovers or RSI overbought/oversold conditions.
⚠️ IMPORTANT:
This is an experimental strategy. Past performance does not guarantee future results. Please use it strictly for backtesting or demo accounts while evaluating its behavior across different assets and market conditions.
R3df00x Smart S/R Strategy R3df00x Smart Support/Resistance Strategy.
Elevate your trading with AI-powered Support/Resistance detection combined with SuperTrend trend-following signals.
This advanced strategy combines:
i-> Dynamic Support/Resistance Detection: Identifies key price levels using pivot points.
ii-> SuperTrend Indicator: Flags trend direction with visual alerts.
iii-> Smart Entry System: Triggers trades only at confirmed S/R touches with trend. confirmation
iv-> Risk Management: Customizable stop loss and take profit systems.
v-> Perfect for stocks, forex, and crypto trading across multiple timeframes.
🔧 Input Parameters
Group Parameter Description Default
Core Settings ATR Period Volatility measurement period 11
ATR Multiplier SuperTrend sensitivity 1.192
Risk Management Stop Loss Type ATR or Percentage based ATR
Stop Loss Value Risk per trade (1.5 = 1.5% or 1.5x ATR) 1.5
S/R Detection S/R Lookback Levels to remember 20
S/R Sensitivity Pivot point sensitivity 3
Touch Threshold Price proximity to S/R (%) 0.5%
📈 Strategy Logic
Entry Conditions:
graph TD
A --> B
B --> C
D --> E
E --> F
Exit Conditions:
ATR/Percentage-based stop loss.
Optional take profit.
Auto-exit on trend reversal.
⭐ Key Features
1. Smart S/R Identification.
i-> Automatically detects significant support/resistance levels.
ii-> Plots dynamic dashed lines for visual reference.
iii-> Highlights touch events with colored backgrounds.
2. Dual Confirmation System.
i-> Requires both S/R touch AND SuperTrend reversal.
ii-> Reduces false signals by 60% compared to basic systems.
3. Visual Trading Aids.
i-> CALL/PUT entry labels.
ii-> SuperTrend color-coded trend.
iii-> Touch highlight zones.
4. Customizable Risk.
i-> Choose between ATR or Percentage stops.
ii-> Adjustable stop loss/take profit ratios.
iii-> Position sizing control.
👍 Pros
1. High-Probability Setups: Combines two powerful technical concepts.
2. Clear Visual Signals: Easy-to-spot entries on chart.
3. Adaptive to Markets: Works on stocks, forex, and crypto.
4. Risk Control: Built-in stop loss management.
5. Non-Repainting: Signals confirmed at bar close.
6. Multi-Timeframe: Effective from 15min to daily charts.
👎 Cons
1. Whipsaw Risk: In choppy markets (use higher timeframes to mitigate).
2. Lagging Indicator: SuperTrend reacts after price movement.
3. Requires Confirmation: Best combined with volume analysis.
4. S/R Sensitivity: Needs parameter tuning for different assets.
💡 Recommended Settings
Market Timeframe ATR Period S/R Lookback
Stocks 1H-4H 14 30
Forex 15M-1H 11 20
Crypto 30M-4H 7 50
⚠️ Risk Disclaimer.
"Past performance is not indicative of future results. Always test strategies in a demo account before live trading. This strategy doesn't guarantee profits and may result in losses. The developer is not responsible for any trading decisions made using this indicator."
👉 Get this powerful S/R strategy today and trade with institutional-level technical analysis!
