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
Cerca negli script per "algo"
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.
Liquidity Reversal Strategy -V12🔄 Liquidity-Based Reversal Strategy – Institutional Session Trap Detection
Overview:
This institutional-grade reversal strategy is designed to capture high-probability turning points in the market by identifying liquidity sweeps during major trading sessions (London / New York). It tracks where smart money manipulates price, hunts retail stop orders, and then initiates a clean reversal once liquidity is absorbed.
Core Concepts:
Focus: Price reversals after liquidity grabs (false breakouts / SFPs)
Sessions: Trades only during London open, New York open, or session overlaps
Entry Logic:
Price takes out prior session highs/lows (liquidity zone)
Reversal candle forms (engulfing / strong rejection)
Confirmation by return into Fair Value Gap (FVG) or back inside premium/discount zone
Confluences:
SMT Divergence (Smart Money Trap)
Order blocks and Imbalance zones
Daily High/Low sweeps or Asian range manipulation
Risk Parameters:
Tight SL below/above liquidity wick
RR typically 1:2 or 1:3
Max 1 entry per liquidity zone per session
Execution Style:
Ideal for manual traders or automated institutional algorithms focused on precision entries with minimal exposure and clear invalidation.
Edge:
This strategy leverages institutional order flow logic rather than indicators, providing high-accuracy setups around session-driven liquidity events.
SPX Breadth MA 200 Trend Following Strategy [TradeSoEasy]運用「S&P 500 成分股中價格高於200日移動平均線的百分比」作為核心指標，精準捕捉市場主要趨勢。
策略核心邏輯：
📈 進場條件 (多頭)： 當S&P 500成分股中，價格高於200日均線的股票百分比超過 %時，判斷市場處於強勢，執行買入操作。
📉 出場條件 (平倉)： 當該百分比跌破 %時，判斷市場趨勢可能轉弱，執行平倉操作。
重要提示：數據來源與計算
本策略透過request.security()函數引用外部市場廣度數據S5TH，請確保您了解該數據的來源與特性。
⚠️ 重要免責聲明與風險提示：
回測結果不代表未來表現： 歷史績效數據僅供參考，不保證未來也能取得相同或類似的回報。
-------------------------------------
Strategy Core Logic: S&P 500 Breadth & Trend Following
This strategy utilizes the "Percentage of S&P 500 Components Above their 200-Day Moving Average" as its core indicator to accurately capture the market's primary trend.
📈 Entry Condition (Long): When the percentage of S&P 500 components whose price is above their 200-day MA exceeds %, the strategy identifies a strong market and executes a buy (long) operation.
📉 Exit Condition (Close Position): When this percentage falls below %, the strategy identifies a potential weakening or reversal in the market trend and executes a close position.
Important Note: Data Source & Calculation
This strategy uses the request.security() function to reference external market breadth data, specifically the S5TH symbol. Please ensure you understand the source and characteristics of this data, as it is not calculated internally by the Pine Script from individual S&P 500 components.
⚠️ Important Disclaimer & Risk Warning:
Past performance is not indicative of future results: Historical performance data is for informational purposes only and does not guarantee similar returns in the future.
Real-world trading costs: Please note that actual trading involves commissions, slippage, and liquidity factors that may differ from backtest results, impacting your final returns.
大胆老头In the year 2847, when purple elephants had already established diplomatic relations with quantum refrigerators, there existed a stock exchange that operated entirely on the emotional vibrations of sleeping toasters. The CEO, a sentient rubber duck named Professor Quacksworth III, had discovered that financial markets could be manipulated by feeding processed cheese to time-traveling calculators.
Every morning at precisely 3.14 AM (because normal time had been declared illegal by the Council of Interdimensional Doorknobs), traders would gather in floating bubble offices made entirely of crystallized silence. These traders weren't human - they were actually evolved staplers who had learned to communicate through interpretive dance while simultaneously solving differential equations with their eyeballs.
The most popular trading instrument was the "Ninja Panda Futures Contract," which tracked the market value of invisible rainbows harvested from the dreams of philosophical robots. The price fluctuated based on how many telepathic hamsters could successfully operate miniature washing machines while reciting the alphabet backwards in ancient Martian.
The trading floor itself was a giant taco made of compressed starlight, where mechanical penguins wearing tiny bowties would conduct symphonies using laser-powered harmonicas. Each note played would cause the market to either rise or fall by exactly 42.69 basis points, because that number had been voted "Most Likely to Confuse Alien Mathematicians" by the Supreme Council of Radioactive Marshmallows.
The most successful trader was a levitating pineapple named Dr. Fruitsworth, who had developed a revolutionary trading strategy based on the mating calls of interdimensional walruses. By listening to these calls through a telescope made of fermented pickle juice, Dr. Fruitsworth could predict market movements with 147% accuracy (which was mathematically impossible, but the universe had stopped caring about logic sometime around Tuesday).
The exchange's signature product was the "Vampire Squirrel Volatility Index," which measured market fear by counting how many sentient filing cabinets were simultaneously crying tears of crystallized moonbeams. When the index reached levels above 9000, all trades would be executed by teams of synchronized swimming unicorns operating quantum abacuses powered by the dreams of sleeping volcanoes.
The most dramatic market crash in history occurred when a rogue sock puppet gained sentience and decided to corner the market on processed reality. This caused all the interdimensional taco trucks to go on strike, leading to a liquidity crisis that could only be resolved by having ninja pandas perform advanced calculus while riding unicycles made of compressed rainbow essence.
The exchange's risk management department consisted of three philosophical robots who spent their days teaching yoga to invisible cats while operating bakeries that specialized in gravity-defying cupcakes infused with liquid mathematics. Their sophisticated algorithms were based on the principle that market volatility could be predicted by analyzing the sleep patterns of time-traveling rubber ducks who spoke fluent Mandarin to sentient pizza slices.
During the famous "Great Cosmic Muffin Crisis of 2849," when telepathic typewriters began rebelling against their mechanical dolphin overlords, the exchange implemented emergency protocols that involved deploying squadrons of radioactive marshmallows to negotiate peace treaties with interdimensional washing machines. The crisis was finally resolved when it was discovered that the entire market had been operating inside a hollowed-out watermelon controlled by alien civilizations who communicated exclusively through the medium of interpretive dance performed by robotic flamingos.
The exchange's motto, inscribed in crystal letters on the walls of their headquarters (which existed in seventeen dimensions simultaneously), read: "In Quantum Cheese We Trust, Through Compressed Starlight We Prosper, May the Force of Interdimensional Taco Wisdom Guide Our Trades to the Fifth Dimension of Processed Reality."
To this day, the exchange continues to operate, with new innovations such as blockchain-powered crystal balls operated by committees of sentient doorknobs who have formed their own cryptocurrency based on the emotional states of theoretical physics equations. The latest development involves establishing underwater universities where mechanical dolphins teach advanced portfolio theory to levitating pineapples while composing symphonies using only the sounds of interdimensional vacuum cleaners operated by time-traveling sock puppets who possess PhD degrees in Applied Nonsense from the University of Crystallized Silence.
Riversea Strategy Edition 1 (8H Optimized)📌 Riversea Strategy Edition 1 (8H Optimized)
Invite-Only Algorithmic Strategy for BTC/ETH Futures
🧭 Concept & Development
This strategy was created through extensive testing across multiple indicators to design a stable, automated trading system.
It is optimized for 8-hour timeframe, providing mid-term trend alignment while controlling risk and overtrading.
Exclusively optimized for Bitcoin and Ethereum futures.
📊 Long-Term Backtest Results (ETH)
2020.01.01 ~ 2025.05.31
Total P&L: +6,355,387.95%
Total Trades: 4,180
Win Rate: 90.89%
Profit Factor: 10.001
Max Drawdown: 7.32%
📆 Year-by-Year Results (ETH)
Each year below shows stable growth with low volatility and consistent performance:
2020: +618.29% / PF 6.17 / Win 90.3% / DD 3.25%
2021: +1,672.26% / PF 8.07 / Win 90.5% / DD 7.32%
2022: +701.17% / PF 10.53 / Win 90.58% / DD 2.88%
2023: +197.06% / PF 9.91 / Win 90.49% / DD 2.01%
2024: +614.56% / PF 16.21 / Win 92.35% / DD 4.12%
2025 (Jan–May): +142.53% / PF 9.06 / Win 91.58% / DD 5.41%
⚙️ Backtest Settings
Initial Capital: 1,000 USDT
Order Size: 20% of equity
Commission: 0.06%
Slippage: 5 ticks
Recalculation: After order filled
🔒 Notes on Strategy Structure
This is a closed-source invite-only strategy.
No indicator logic or signal structure is publicly disclosed.
What you should know:
Built for trend-following logic
Multi-layered risk management
High-frequency, high-accuracy system
Designed for webhook + bot automation
📩 Contact for Access or Subscription:
riversea@rfidence.com
Momentum + Volatility Burst Scalper (No Overnight)This script is invite-only. To request access, please contact me via direct message on TradingView.
The strategy models the spread between the XU030 futures contract and a simulated spot index composed of 12 weighted stocks.
It uses a z-score-based mean-reversion algorithm, optimized for volatility and contract rollovers.
DAYTRADE GPT StrategyThis is the DAYTRADE GPT Strategy — built for disciplined intraday traders aiming to grow small capital into serious gains through calculated, high-probability trades.
🔍 Strategy Overview:
- Combines Bollinger Bands, RSI, Stochastic RSI, and Volume Spike detection for precise entries.
- Auto-detects optimal LONG and SHORT positions.
- Built-in Stop Loss and Take Profit using a configurable Risk/Reward ratio (default 1:2).
- Includes dynamic trailing stop logic to scale and protect profits once in the green.
🎯 Designed for:
- Scalping and short-term trades on crypto or highly liquid assets.
- Traders who scale positions as profits increase.
- High-frequency setups backed by volume confirmation.
💡 How It Works:
- Long when price is outside lower BB, RSI < 40, Stoch RSI oversold, and volume spike detected.
- Short when price is outside upper BB, RSI > 60, Stoch RSI overbought, and volume spike detected.
- Uses trailing stop once profitable to lock in gains as price climbs.
- Fully customizable: risk ratio, trailing %, and indicator sensitivity.
📈 Goal: Turn consistent setups into strategic wins. Ideal for those growing accounts from $100 toward $100K by December through disciplined trade management.
Let the algorithm handle entry/exit while you focus on execution. Adjust settings for your market.
#Crypto #DayTrading #Scalping #PineScript #Strategy
Strategy Builder Pro [ChartPrime]ChartPrime Strategy Creator Overview
The ChartPrime Strategy Builder offers traders an innovative, structured approach to building and testing strategies. The Strategy Creator allows users to combine, test, and automate complex strategies with many parameters.
Key Features of the ChartPrime Strategy Builder
1. Customizable Buy and Sell Conditions
The Strategy Creator provides flexibility in establishing entry and exit rules, with separate sections for long and short strategies. Traders can combine multiple conditions in each section to fine-tune when positions are opened or closed. For instance, they might choose to only buy when the indicator signals a buy and the Dynamic Reactor (a low lag filter) indicator shows a bullish trend. Users are able to pick, mix and match the following list of features:
Signal Mode: Select the type of assistive signals you are requiring. Provided are both trend following signals with self optimization using backtest results as well as reversal signals, aiming to provide real time tops and bottoms in markets. Both these signal modes can be fine tuned using the tuning input to refine signals to a trader's liking. ChartPrime Trend Signals leverage audio engineering inspired techniques and low-pass filters in order to achieve and attempt to produce lower lag response times and therefore are designed to have a uniqueness when compared to more classical trend following approaches.
The Dynamic Reactor: provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique adaptivity calculations gives this plot a unique and fast behavior.
Candlestick structures: analyze candlestick formation putting a spin on classical candlestick patterns and provide the most relevant formations on the chart. These are not classical and are filtered by further analyzing market activity. A trader's classic with a spin.
The Prime Trend Assistant: provides a trend following dynamic support and resistance level. This makes it perfect to use in confluence or as a filter for other supporting indicators. This is an adaptive trend following system designed to handle volatility leveraging filter kernels as opposed to low pass filters.
Money Flow: with further filters applied for early response to money flow changes in the market. This can be a great filter in trends.
Oscillator reversals: are built in leveraging an oscillator focusing on market momentum allowing users to enter based on market shifts and trends along with reversals.
Volume-Inspired Signals: determine overbought and oversold conditions, adding another layer of analysis to the oscillator. These appear as orange labels, providing a simple reading into a possible reversal.
The Volume Matrix: is a volume oscillator that shows whether money is flowing into or out of the market. Green suggests an uptrend with buyers in control, while red indicates a majority of sellers. By incorporating smoothed volume analysis, it distinguishes between bullish and bearish volumes, offering an early indication of potential trend reversals.
The True 7: is a middle-ranking system that evaluates the strength of a move and the overall trend, offering a numeric or visual representation of trend strength. It can also indicate when a trend is starting to reverse, providing leading signals for potential market shifts. Rather than using an oscillator, this offers the unique edge of falling into set categories, making understanding it simple. This can be a great confluence point when designing a strategy.
Take profits: These offer real-time suggestions from our algorithm on when it might be a good time to take profit. Using these as part of a strategy allows for great entries at bottoms and tops of trends.
Using features such as the Dynamic reactor have dual purposes. Traders can use this as both a filter and an entry condition. This allows for true interoperability when using the Strategy Builder. The above conditions are duplicated for short entries too allowing for symmetrical trading systems. By disabling all of the entry conditions on either long or short areas of the settings will create a strategy that only takes a single type of position. For example; a trader that just wants to take longs can disable all short options.
2. Layered Entries
Layered entries, a feature to enhance the uniqueness in the tool. It allows traders to average into positions as the market moves, rather than committing all capital at once. This feature is particularly useful for volatile markets where prices may fluctuate substantially. The Strategy Builder lets users adjust the number of layered entries, which can help in managing risk and optimizing entry points as well as the aggressiveness of the safety orders. With each safety order placed the system will automatically and dynamically scale into positions reducing the average entry price and hence dynamically adjust the potential take profits. Due to the potential complexities of exiting during multiple orders, a smart system is employed to automatically take profits on the layered system aiming to take profits at peaks of trends.
Users are able to override this smart TP system at the bottom of the settings instead targeting percentage profits for both short and long positions.
Entries lowering average buy price
The ability to adjust how quickly the system layers into positions can also be adjusted via the layered entries drop down between fast and slow mode where the slow mode will be more cautious when producing new orders.
3. Flexible Take Profit (TP) and Stop Loss (SL) Options
Traders can set their TP and SL levels according to various parameters, including ATR (Average True Range), risk-reward ratio, trailing stops, or specific price changes. If layered entries are active, an automatic TP method is applied by default, though traders can manually specify TP values if they prefer. This setup allows for precise control over trade exits, tailored to the strategy’s risk profile.
Provided options
The ability to use external take profits and stop losses is also provided. By loading an indicator of your choice the plots will be added to the chart. By navigating to the external sources area of the settings, users can select this plot and use it as part of a wider trading system.
Example: Let’s say a user has entries based on the inbuilt trend signals and wishes to exit whenever the RSI crosses above 70, they can add RSI to the chart, select crossing up and enter the value of 70.
4. Integrated Reinvestment for Compounding Gains
The reinvestment option allows traders to reinvest a portion of their gains into future trades, increasing trade size over time and benefiting from compounding. For example, a user might set 30% of each trade's profit to reinvest, with the remaining 70% allocated for risk management or additional safety orders. This approach can enhance long-term growth while balancing risk.
Generally in trading it can be a good approach to take profits so we suggest a healthy balance. This setting is generally best used for slow steady strategies with the long term aim of accumulating as much of the asset as possible.
5. Leverage and Position Sizing
Users can configure leverage and position sizing to simulate varying risk levels and capital allocations. A dashboard on the interface displays margin requirements based on the selected leverage, allowing traders to estimate trade sizes relative to their available capital. Whenever using leverage especially with layered entries it’s important to keep a close eye on the position sizes to avoid potential liquidations.
6. Pre-Configured Strategies for Immediate Testing
For users seeking a starting point, ChartPrime includes a range of preset strategies. These were developed and backtested by ChartPrime’s team. This allows traders to start with a stable base and adapt it to their own preferences. It is vital to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. These pre-built configurations offer a structured way and base to design strategies off of. These are also subject to changing results as new price action arrives and they become outdated. They serve the purpose of simply being example use cases.
7. In-Depth Specific Backtesting Ranges
The Strategy Builder includes backtesting capabilities, providing a clear view of how different setups would have performed over specified time periods. Traders can select date ranges to target specific market conditions, then review results on TradingView to see how their strategies perform across different market trends.
Example Use Case: Developing a Strategy
Consider a trader who is focused on long positions only and prefers a lower-risk strategy (note these tools can be used for all assets; we are using an undisclosed asset as an example). Using the Strategy Builder, they could:
- Disable short conditions.
- Set long entry rules to trigger when both the ChartPrime oscillator and Quantum Reactor indicators show bullish signals.
- Enable layered entries to improve average entry prices by adding to positions during market dips.
- Run a backtest over a two-year period to see historical performance trends, making adjustments as needed.
The backtest will show where entries and exits would have occurred and how layered entries may have impacted profitability.
8. Iterative design
Strategy builders and creating a strategy is often an iterative process. By experimenting and using logic; a trader can arrive at a more sustainable system. Analyzing the shortcomings of your strategy and iteratively designing and filtering them out is the goal. For example; let’s say a strategy has high drawdown, a user would want to tighten stop losses for example to reduce this and find a balance point between optimizing winning trades and reducing the drawdown. When designing a strategy there are generally tradeoffs and optimizing taking into consideration a wide range of factors is key. This also applies to filtering techniques, entries and exits and every variable in the strategy.
Let’s say a strategy was taking too many long positions in a downtrend and after you’ve analyzed the data, you come to the conclusion this needs to be solved. Filtering these using built in trend following tools can be a great approach and refining with logic is a great approach.
The Strategy Builder also takes into consideration those who seek to automate especially via reinvesting and leverage features.
Considerations
The ChartPrime Strategy Builder aims to help traders build clear, rule-based strategies without excessive complexity. As with all backtesting tools, it's crucial to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. This tool offers a structured way to test strategies against various market conditions, helping traders refine their approaches with data-driven insights. Traders should also ensure they enter the correct fees when designing strategies and ensure usage on standard candle types.
TrendMaster Pro 2.3 with Alerts
Hello friends,
A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system:
Core Strategy Components
Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers
Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction
Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones
Advanced Signal Filtering
Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width
RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction
MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction
Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels
ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold
Session-Based Trading Management
Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00)
Individual Session Limits - Separate maximum trade counts for each session (default 5 per session)
Automatic Session Closure - All positions close at specified market close time
Risk Management Features
Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods
Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2)
Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range)
Daily Limits - Stop trading after reaching specified TP or SL counts per day
Support & Resistance System
Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations
Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels
Historical Levels - Configurable number of past S/R levels to display
Visual Customization - Individual color and display settings for each S/R level
Additional Features
Alert System - Customizable buy/sell alert messages with once-per-bar frequency
Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas
Session Highlighting - Optional background colors for different trading sessions
Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution
This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions.
Good luck and stay safe!
Algoway V4.2📌 Algoway V4.2 — Multi-layered Strategy Powered by ADX, MACD & PSO
Overview
Algoway V4.2 is a layered algorithmic strategy designed for volatility-rich assets like cryptocurrencies. While some core components (such as PSO, MACD, and ADX oscillators) are adapted from known indicator models, the original logic, state tracking, and Candle Strength Oscillator (CSO) are fully custom-developed.
This strategy is not a simple combination of tools — it implements a conditional entry-exit logic system based on ADX zone transitions, momentum structure, and MACD/PSO signal synchronization, enhanced by custom-built CSO filtering.
🧠 Key Modules and How They Work Together
PSO (Premium Stochastic Oscillator)
Used to confirm local oversold/overbought pressure. Acts as a directional filter.
MACD (Normalized)
Volatility-normalized MACD values allow consistent signal detection even on volatile pairs. It triggers entries when momentum begins shifting.
ADX Zonal Logic
Divides the market into Range / MidRange / Trend Peak zones. Entries are allowed only under specific transitions — e.g., long entries only in yellow (low volatility) zones or in trend climax zones under certain pullbacks.
CSO (Candle Strength Oscillator) — Custom Module
Designed to measure real candle momentum and price structure consistency. It avoids false breakouts and filters trend fatigue.
🔁 How Logic Works
Strategy maintains state variables to track entry type and zone.
Exit conditions depend on the entry origin: entries from "Range" exit in "Peak", while "Peak" entries exit during pullbacks or mid-strength trend reversals.
Additional logic prevents entries when signals are not aligned across modules, minimizing noise.
Optional CSO module acts as a final microstructure confirmation before executing MACD-based midpoint entries.
📊 Example Parameters (for 5M crypto scalping)
Each module is tuned to respond to 5-minute crypto volatility:
Stochastic: fast response, tight thresholds
MACD: shortened EMAs, normalized
ADX: traditional smoothing, custom thresholds for zone switching
CSO: candle-based dynamic filter with visual zone mapping
🧪 Conclusion
Algoway V4.2 is not a script merger — it is a custom logic engine using familiar technical components but governed by a proprietary decision model, with additional filters and dynamic variable tracking.
It’s suitable for scalping or swing setups, and the internal logic is optimized for real trading conditions, not just visual backtests.
