TTP Kent StratKent Strat trades breakouts using Bollinger Bands together with SuperTrend.
Features:
- Risk/reward ratio parameter
- Longs, shorts and combined positions.
- Breakout settings
- Trailing SL, trailing TP
- Use of latest candles to place the SL using a lookback parameter (how many candles to look back for a low/high price)
- Select your SL between the ATR trendline and the latest candle: the closest or furthest away value
- Show the trendline
- Backtest mode for accurate backtests
- Signal mode for live price accurate signals
- Date range backtesting
Filters:
- EMA 200 filter and timeframe selector. This filter can be used to trade with the trend: open longs on an uptrend and shorts on a downtrend.
- ADX filter using threshold. This filter can be used to filter entries where the trend is not very strong.
- ADX pointing up. ADX values pointing up and above certain threshold can improve entries.
- Relative volume filter based on the volume being X% above the MA of the Volume. Trading with volume can help filtering out bad trades.
Example setup:
1) pick BINANCE:ETHUSDT chart, 15 min chart
2) trade longs + shorts
3) pick ratio 3
4) trailing SL checked
5) trailing TP unchecked
7) stop loss "furthest"
8) candle loopback 30
9) BB period 21, dev 1, ATR filter on, atr period 5
10) EMA filter on, 15 min
11) ADX off
12) Volume filter on set to 60%
Pesquisar nos scripts por "adx"
MZ HTF HFT ROCit Bot - Non Repainting Scalper v1.2 ADX RSI MOM This is a new iteration based on my Momentum trading bot.
This is an original script meant to be a high frequency trader that works on higher time frame calculations.
I came up with the idea that using calculus I can figure out the actual rate of change and momentum with different calculations than the momentum indicator that is provided by trading view. Once momentum is shifted on a small time frame, it will provide an entry signal. The script is meant to be used on an algorithmic trading system for scalping purposes. It should be run on a one minute time frame. Unfortunately due to various plotting constraints in Pinescript, you cannot plot the rate of change and momentum and price in the same pane. To counter this, I have a showdata toggle to give you values of the indicators at each entry.
This version has two main entry settings toggled with a checkbox. There is the ROC (rate of change) version and the MOM (momentum) entry signals.
The rate of change version is meant to take a look at your moving average and try to trigger when it hits a certain rate of change point. This can be helpful if you rather play it safer. I have noticed that you can get slightly better entry points but also does not give you as many entries. The momentum algorithm will give you faster entry points and might work best with a slight offset (use your back test to help you figure it out).
I have started to add tooltips to help you along. If you have suggestions please let me know.
How does it work?
Let's just assume that you are looking at a one minute chart. I recommend using the one minute for bots because it will give you the fastest execution for entries. Pinescript has an issue where the signal is not usually sent until the end of the bar/beginning of next bar. If the signal was triggered at the beginning of a 15 minute bar, it might not actually send the signal until the following 15 minute bar. If you are trading on small time frames, this can make all the difference. If you are using an algo platform that trailing stops, stop losse, take profits, etc. I would recommend you use that platform to close your trade. The close trade message will work, but pinescript does not know the exact entry price you received, so if you are trying to collect small profits, it is best that intermediary platform does that calculation for you. If you are dealing with larger moves, instead of small 1-3% scalps, you are probably fine to use the close message setting from pinescript.
Ok, so to take an example. I like to use the 3L and 3S tokens on Kucoin. This gives you a lot of volatility to work with compared to other tokens and coins. However, it can also meas that you are likely taking a higher risk. However, there are some things that can help with that (more on that later).
So we have a token we want to run, and have it on the 1m chart.
First, be sure that all of your filters are OFF when you start playing with the back test. This allows you to see how to best optimize the bot.
Use the show data to show you additional data when you are backtesting. This can allow you to try to filter out results or market conditions that do not work. I typically work with the RSI and use the 30 minute and 15 minute RSIs. I make sure that it is trading within a certain band - about 40-75. You can try the inverse and only buy during really low RSI's as well.
www.dropbox.com
Find the source of your data with the variant drop down. You can use any time frame, open, close. high, low, olc4. Open is pretty much guaranteed to not have any repainting issues - although all the other calcs use a custom isbarconfirmed security repaint calculation. I have been finding that Open and SMA work well, but feel free to explore. If you use a source like open, close, high, low, etc - the interval will not change anything further. If you use a variant such as an sma, you should try to find an interval that works well for that token. For instance, try an sma of 8-11 minutes and see which gives you the best backtest result without changing anything else. Offset ALMA/LSMA parameters are only used for those specific variants. These specific parameters will also affect the ALMA and LSMA if you use that variant in the trend filter. In other words, you can skip these if you are not using those types of moving averages.
www.dropbox.com
Configure the ROC and MOM intervals. If you are using a source such as open, close, etc- this is where you set the interval for your change. So consider using OHLC4 or a interval of 5 thru 15 and see what works best. The Momentum inverval usually works best in the 2-5 bars. There is a custom calculation I added in to try to filter out false entries as momentum is waning. This calculation works best in 2-5 bar interval.
Configure the trigger point and offset. If you are using rate of change, the best settings will likely be between -1 to 0.5. If you are using momentum, you will likely want -20 to 10. This is where you will notice the entries will shift a bit. Try to find a balance between your backtest settings and actually finding what you thin will be the best entries based on a slight delay from trading view, to algo, to your trading platform. This can likely be a minute (maybe even) or so- so be sure to not get too caught up between the backtest results and be sure to finesse the entries to actually fit nicely - maybe a bar earlier than you would likely think. If your entries are coming in too early, you can use the offset to delay your entry by a few bars. This is both science and an art form- don't get too caught up on the back test results as that is based on having all the data tha already transpired, it's not based on how it will actually perform during deployment.
Take profit and stop loss. This should be self explanatory. This script can toggle between static take profit and a trailing profit. For scalping, you will likely want to limit it below 2% to get a good win ratio. Stop loss should be at least 5-6% for these types of 3L/3S tokens to give the strategy some room to move (if the token goes down 2% before it shoots back up, the price will go down 6%). This does not yield the best R/R ratio from a traditional trader perspective, but the statistical probabilities are in your favor for these events will happen. If you have better ideas for how to set this all up, feel free to contribute your ideas in the comments as we can all learn from each other. You can definitely set a much tighter stop loss with a larger take profit to get a lower win rate but in turn might get much better returns. It's all up to you.
FILTERS www.dropbox.com
These filters require you to know a bit about each indicator and how you want to use them. I will only go over the general idea.
Variant Filter - this is especially useful if you want to trade above a moving average. Say for instance you only want to take trades when we are over the 100 Day moving average. Or above a 30 minute, 30 bar EMA, etc. Although originally ported over from my other scripts, this is not a filter that I use often in conjunction with this script.
RSI - perhaps you want to buy when we are below the 30 line on the 30 minute RSI, or we want only want to have the strategy work when we are above the 50 RSI, this can all be configured here. I typically like to try a few different rationales here.
Now with brand NEW ADX filter - this is a brand new idea that seems to work rather well. Based on your ADX settings you can also turn on the "only uptrend" which will try to calculate if you are in an uptrend based on your ADX config. Please keep in mind that uptrend is based relatively on the ADX settings.
- There is a sprinkle of RSI magic in the entry signal to make sure that rsi is not declining in the calculation, so this can affect how many entries you get.
Some other tips:
Forward test.
Set up your algo bot on a one minute interval.
Set up take profit and stop loss on your algo trading platform.
Don't use the exact settings as your backtest, maybe try a slightly more conservative approach from the algo trading platform to make sure you are within range of triggering your events with a slight delay from signal to execution. If you have a 1.6% take profit, perhaps try 1.5% on your platform first.
By using these scripts you agree that you are trading at your own risk. I make no guarantees of returns or results. I just provide tools to help you trade better. However, I hope this ROCit will take you to the moon. And if it does, be sure to give me a shout as well as some tips of your own.
Send me a message with any questions or suggestions.
MA Crossover Strategy with MA Turning Point Exits + ADX filterThis strategy is based upon @rthomson's MA Crossover Strategy with MA Turning Point Exits.
I just added an ability to filter out entries when ADX < 20. In fact you have a choice to set this ADX threshold value.
In a sideways market, the MA crossovers end up in yielding entry trades with losses. ADX value around 20 to 25 indicates a sideway market. By introducing ADX threshold, we are trying to prevent potential loss making entries.
[SM-021] Gaussian Trend System [Optimized]This script is a comprehensive trend-following strategy centered around a Gaussian Channel. It is designed to capture significant market movements while filtering out noise during consolidation phases. This version (v2) introduces code optimizations using Pine Script v6 Arrays and a new Intraday Time Control feature.
1. Core Methodology & Math
The foundation of this strategy is the Gaussian Filter, originally conceptualized by @DonovanWall.
Gaussian Poles: Unlike standard moving averages (SMA/EMA), this filter uses "poles" (referencing signal processing logic) to reduce lag while maintaining smoothness.
Array Optimization: In this specific iteration, the f_pole function has been refactored to utilize Pine Script Arrays. This improves calculation efficiency and rendering speed compared to recursive variable calls, especially when calculating deep historical data.
Channel Logic: The strategy calculates a "Filtered True Range" to create High and Low bands around the main Gaussian line.
Long Entry: Price closes above the High Band.
Short Entry: Price closes below the Low Band.
2. Signal Filtering (Confluence)
To reduce false signals common in trend-following systems, the strategy employs a "confluence" approach using three additional layers:
Baseline Filter: A 200-period (customizable) EMA or SMA acts as a regime filter. Longs are only taken above the baseline; Shorts only below.
ADX Filter (Volatility): The Average Directional Index (ADX) is used to measure trend strength. If the ADX is below a user-defined threshold (default: 20), the market is considered "choppy," and new entries are blocked.
Momentum Check: A Stochastic RSI check ensures that momentum aligns with the breakout direction.
3. NEW: Intraday Session Filter
Per user requests, a time-based filter has been added to restrict trading activity to specific market sessions (e.g., the New York Open).
How it works: Users can toggle a checkbox to enable/disable the filter.
Configuration: You can define a specific time range (Default: 09:30 - 16:00) and a specific Timezone (Default: New York).
Logic: The strategy longCondition and shortCondition now check if the current bar's timestamp falls within this window. If outside the window, no new entries are generated, though existing trades are managed normally.
4. Risk Management
The strategy relies on volatility-based exits rather than fixed percentage stops:
ATR Stop Loss: A multiple of the Average True Range (ATR) is calculated at the moment of entry to set a dynamic Stop Loss.
ATR Take Profit: An optional Reward-to-Risk (RR) ratio can be set to place a Take Profit target relative to the Stop Loss distance.
Band Exit: If the trend reverses and price crosses the opposite band, the trade is closed immediately to prevent large drawdowns.
Credits & Attribution
Original Gaussian Logic: Developed by @DonovanWalll. This script utilizes his mathematical formula for the pole filters.
Strategy Wrapper & Array Refactor: Developed by @sebamarghella.
Community Request: The Intraday Session Filter was added to assist traders focusing on specific liquidity windows.
Disclaimer: This strategy is for educational purposes. Past performance is not indicative of future results. Please use the settings menu to adjust the Session Time and Risk parameters to fit your specific asset class.
Auto Div ADX STO RSI (Flip+P) v2This strategy combines multi-indicator divergence detection, momentum confirmation and adaptive position management into a unified automated trading framework.
It identifies regular bullish and bearish divergences using RSI and Stochastic (K), with configurable confirmation logic (RSI+STO, RSI only, or STO only). Divergences are validated only when price forms a lower low / higher high while the oscillator forms a higher low / lower high within a user-defined lookback window.
To filter low-quality setups, the strategy applies an ADX trend strength requirement, ensuring signals are taken only when market conditions reflect sufficient directional energy. Optional stochastic filters (oversold/overbought K levels) can further refine long and short entries.
Once a valid signal appears, the system supports Automatic Flip Logic:
If a bullish divergence forms during a short position, the strategy closes the short and flips long.
If a bearish divergence forms during a long position, it closes the long and flips short.
Position sizing uses adaptive pyramiding: the initial flip takes size proportional to the opposite side’s accumulated units, and new signals in the same direction can add incremental units (scale-in) if enabled. This models progressive conviction as new divergence signals occur.
All entries can optionally be required to confirm on bar close.
Alerts are included for both Long and Short entries.
Key Features
• Automatic detection of RSI and Stochastic divergences
• User-selectable confirmation rules (RSI, STO, or both)
• ADX-based strength filter
• Optional Stochastic K oversold/overbought filters
• Full flip logic between Long and Short
• Dynamic pyramiding and configurable scale-ins
• Bar-close confirmation option
• Alerts for Long/Short entries
• Status-line visualization of ADX, RSI, Stochastic, and unit cycles
This strategy is designed for traders who want a structured, divergence-based model enhanced with trend strength filtering and flexible position management logic, suitable for systematic discretionary trading or fully automated execution.
Futures Fighter MO: Multi-Confluence Day Trading System ADX/SMI👋 Strategy Overview: The Multi-Confluence Mashup
The Futures Fighter MO is a comprehensive, multi-layered day trading strategy designed for experienced traders focusing on high-liquidity futures contracts (e.g., NQ, ES, R2K).
This strategy is a sophisticated mashup that uses the 1-minute chart for surgical entries while enforcing strict environmental filtering through higher-timeframe data. We aim to capture high-conviction moves only when multiple, uncorrelated signals align.
🧠 How the Logic Works (Concepts & Confluence)
Our logic is built on four pillars, which must align for a trade to be executed:
Primary Trend Filter
Indicators :
ADX/DMI (15-Minute Lookback)
Role :
Price action is filtered to ensure the ADX (17/14) is above 25, confirming a strong, prevailing market trend (Bullish or Bearish). Trades are strictly rejected during "Flat" (sideways) market regimes.
Entry Signal Types
The system uses multiple entry types:
- 🟢 Trend Long/Short: A breakout/rejection near the 200-Period EMA is confirmed by the primary ADX trend.
- 🔴 Engulfing Rejection: A strong signal when a Bullish/Bearish Engulfing or Doji prints near the long-term 500-Period EMA (emaGOD) while the Stochastic Momentum Index (SMI on 30M) is in an extreme overbought/oversold state (below $-40$ or above $40$).
Volatility & Volume Confirmation
Indicators: Average True Range (ATR) and 20-Period SMA of Volume
Role: Every entry requires a volume spike (Current Volume $> 1.5 \times$ SMA Volume) to confirm that the move is supported by significant liquidity. Volatility is tracked via ATR to define bar range and stop boundaries.
Structural Guardrails
Indicators: Daily Pivot Points (PP, S1-S3, R1-R3)
Role: Trades are disabled if the current bar's price range intersects with a Daily Pivot Point. This is a critical filter to avoid high-chop consolidation zones near key structural levels.
📊 Strategy Results & Required Disclosures
I strive to publish backtesting results that are transparent and realistic for the retail futures trader.
- Initial Capital: $50,000 - A realistic base for Mini/Micro futures contracts.
- Order Size: 1 Contract (Pyramiding up to 3) - Conservative risk relative to the account size.
- Commission: $0.11 USD per order - Represents realistic costs for low-cost brokers.
- Slippage: 2 Ticks - Accounts for expected market friction.
⚠️ Risk Management & Deviations
Stop-Loss: The strategy uses a dynamic stop-loss system where positions are closed upon a reversal (e.g., breaking the 50-Period EMA or failure to hold a Pivot Point), rather than a fixed tick-based stop. This is suited for experienced traders using a low relative risk (single Micro-contract entry) on a larger account. Users must confirm that the first entry's maximum potential loss remains below $10\%$ of their capital for compliance.
Trade Sample Size: Due to data limitations of the TradingView Essential plan (showing $\approx 50$ trades over 2 weeks), the sample size is under the ideal $100+$ target. Justification: This system is designed to generate signals across a portfolio of correlated futures markets (NQ, ES, R2K, Gold, Crude), meaning the real sample size for a user tracking the portfolio is significantly higher.
Drawdown Control: This strategy is designed for manual management. It requires the user to turn the script/alerts OFF after a significant drawdown and only reactivate it once a recovery trend is established externally.
The strategy uses a combination of dynamic trailing stops, structural support/resistance zones, and a fixed profit target to manage open positions.
🛑 Strategy Exit Logic
1. General Stop-Loss (Dynamic Trailing Stop)
These conditions act as the primary dynamic stop, closing the position if the market reverses past a key Moving Average (MA):
- Long Positions Closed When: The current bar's close crosses under the 50-Period EMA (emaLong).
- Short Positions Closed When: The current bar's close crosses above the 50-Period EMA (emaLong).
2. Profit Target (Fixed Percentage)
The script includes a general exit based on a user-defined profit percentage:
Take Profit Trigger: The position is closed when the currentProfitPercent meets or exceeds the input Profit Target (%) (default is 1.0% of the entry price).
3. Structural Exits (Daily Pivot Points)
These exits are high-priority, "close all" orders that trigger when the price fails to hold or reclaims a recent Daily Pivot Point, suggesting a failure of the current move.
- VR Close All - Long ($\sym{size} > 0$) - Price crosses under a Daily Resistance Level (R1, R2, or R3) minus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Resistance as support.
- VS Close All - Short ($\sym{size} < 0$) - Price crosses above a Daily Support Level (S1, S2, or S3) plus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Support as resistance.
4. Trend Failure Exit (Trend-Following Signals Only)
This exit protects against holding a position when the primary high-timeframe trend used for the entry has failed:
- Long Positions Closed When: The primary trend is no longer "bullish" for more than 2 consecutive bars (i.e., it turned "bearish" or "flat").
- Short Positions Closed When: The primary trend is no longer "bearish" for more than 2 consecutive bars (i.e., it turned "bullish" or "flat").
5. End of Day (EOD) Session Control
The final hard exits based on time:
- End of Session (EoS): At 11:30 AM, new trades are disabled (TradingDay := false). Open positions are kept.
- End of Day (EoD): At 1:30 PM, all remaining open positions are closed (strategy.close_all).
🤝 Development & Disclaimer
This script and description were created with assistance from Gemini and GitHub Copilot. My focus is on helping fellow real estate investors and day traders develop mechanically sound systems.
Disclaimer: This is for educational purposes only and does not constitute financial advice. Always abide by the Realtor Code and manage your own risk.
Inakis-BB-Stoch-ATR-ADX StrategyStrategy Description
This advanced trading strategy combines multiple technical indicators to identify high-probability breakout opportunities in trending markets. The system uses a multi-layered filtering approach to ensure only the strongest signals trigger trades.
Key Components:
Primary Signals:
Bollinger Bands Breakout: Identifies price extremes when price breaks below the lower band (buy) or above the upper band (sell)
Stochastic Oscillator: Confirms oversold (<30) and overbought (>70) conditions
ADX Filter: Ensures sufficient trend strength is present (ADX > 20)
ATR Volatility Filter: Trades only during periods of adequate volatility
Advanced Features:
DMI Higher Timeframe Analysis: Incorporates directional movement from higher timeframes (default 1H) to align trades with the dominant trend
Volume Confirmation: Requires above-average volume for signal validation
Cooldown Period: Prevents overtrading by enforcing minimum bars between signals
Visual Feedback: Color-coded background based on higher timeframe trend direction
Risk Management:
Fixed position sizing with customizable contract size
Predefined Stop Loss (default 500 points) and Take Profit (default 1000 points) levels
Clear risk-reward ratio of 1:2
Trading Logic:
Long Entry: Price breaks below BB lower band + Stochastic < 30 + Higher TF bullish trend
Short Entry: Price breaks above BB upper band + Stochastic > 70 + Higher TF bearish trend
All entries require confirmation from ADX, ATR, and volume filters
Customization:
All parameters are fully adjustable through the input panel, allowing traders to optimize the strategy for different markets and timeframes. Each filter can be individually enabled/disabled for testing and optimization purposes.
This strategy is designed for trending markets and performs best on liquid instruments with clear directional moves.
MTF RSI + ADX + ATR SL/TP vivekDescription:
This strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
MTF RSI + ADX + ATR SL/TPThis strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Buy Only Strategy with Dynamic Re-Entry and ExitThe strategy aims to create a simple buy-only trading system based on moving average crossovers and the Weekly Commodity Channel Index (CCI) or Weekly Average Directional Index (ADX). It generates buy signals when the fast-moving average crosses above the slow-moving average and when the Weekly CCI and or Weekly ADX meet the specified conditions.
The strategy also allows for dynamic re-entry, which means it can open new long positions if the price goes above the three moving averages after an exit. However, the strategy will exit the long position if the price closes below the third moving average.
ENTRY CONDITIONS
The script defines the conditions for generating buy signals. It checks for two conditions for a valid buy signal:
• If the fast-moving average crosses above the slow-moving average -THERE IS Dynamic Re-Entry also
• If the user chooses HE OR SHE CAN FILTER TRADES BY USING CCI OR ADX
Dynamic Re-Entry:
the script allows for dynamic re-entry. If there is no active long position and the price is above all three moving averages a new long position is opened.
Exit Conditions
The script defines the exit condition for closing a long position. If the price closes below the third moving average, the script closes the long position.
IMPORTANT NOTICE
ONLY DAILY TIME FRAME
THERE WOULD BE WHIPSAW USE YOUR OWN ACCUMEN TO MINIMISE THEM
ITS ONLY BUY STRATEGY
EXIT CAN BE STRATEGY BASED OR SET PROFIT AND TARGETS AS PER RISK APETITE /RISK MANAGEMENT
DONT TRADE OPTIONS ON THIS
SUITABLE FOR STOCKS OF USA AND INDIAN MARKETS
ALWAYS REMEMBER TO DO YOUR OWN RESEARCH BEFORE TRADING AND INVESTING
Strategy Myth-Busting #5 - POKI+GTREND+ADX - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our fifth one we are automating is one of the strategies from "The Best 3 Buy And Sell Indicators on Tradingview + Confirmation Indicators ( The Golden Ones ))" from "Online Trading Signals (Scalping Channel)". No formal backtesting was done by them and resuructo messaged me asking if we could validate their claims.
Originally, we mimic verbatim the settings Online Trading Signals was using however weren't getting promising results. So before we stopped there we thought we might want to see if this could be improved on. So we adjusted the Renko Assignment modifier from ATR to Traditional and adjusted the value to be higher from 30 to 47. We also decided to try adding another signal confirmation to eliminate some of the ranged market conditions so we choose our favorite, ADX . Also, given we are using this on a higher time-frame we adjusted the G-Channel Trend detection source from close to OHLC4 to get better average price action indication and more accurate trend direction.
This strategy uses a combination of 2 open-source public indicators:
poki buy and sell Take profit and stop loss by RafaelZioni
G-Channel Trend Detection by jaggedsoft
Trading Rules
15m - 4h timeframe. We saw best results at the recommended 1 hour timeframe.
Long Entry:
When POKI triggers a buy signal
When G-Channel Trend Detection is in an upward trend (Green)
ADX Is above 25
Short Entry:
When POKI triggers a sell signal
When G-Channel Trend Detection is in an downward trend (red)
ADX Is above 25
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
ETHUSDT Long-Short using EMA,OBV,ADX,LinearReg,DXY(No repaint)This script strategy is used to follow the trending EMA with a delta difference (Price-EMA) to know when to enter and with 5 variables mentioned below, stop loss is below EMA line all the time in long and above EMA line in short, is like a trailing stop after candle is closed. Hard stop is also placed to prevent big candles movements, also correlation between VIX and ETH when the correlation is <-0.2 the position can be opened.
Indicators used:
EMA , OBV , ADX , Linear regression and Dollar Index trending, Leverage is available for Long and Short positions.
LONG
When Price is above EMA and price-ema difference is smaller than "Long delta Price/MA"
OBV(4hrs) is above OBV-EMA(110)
Linear regression is strong
ADX is strong >50
DXY is trending down
SHORT
When Price is below EMA and ema-price difference is smaller than "Long delta Price/MA"
OBV(4hrs) is below OBV-EMA(110)
Linear regression is weak
ADX is weak <50
DXY is trending up
BINANCE:ETHUSDT 30 minutes Timeframe
Coral Trend Pullback Strategy (TradeIQ)Description:
Strategy is taken from the TradeIQ YouTube video called "I Finally Found 80% Win Rate Trading Strategy For Crypto".
Check out the full video for further details/clarification on strategy entry/exit conditions.
The default settings are exactly as TradeIQ described in his video.
However I found some better results by some tweaking settings, increasing R:R ratio and by turning off confirmation indicators.
This would suggest that perhaps the current confirmation indicators are not the best options. I'm happy to try add some other optional confirmation indicators if they look to be more effective.
Recommended timeframe: 1H
Strategy incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Based on strategy conditions below
Trade exit:
Based on strategy conditions below
Backtesting:
Configurable backtesting range by date
Trade drawings:
Each entry condition indicator can be turned on and off
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Alerting:
Alerts on LONG and SHORT trade entries
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: Coral Trend is bullish
C2: At least 1 candle where low is above Coral Trend since last cross above Coral Trend
C3: Pullback happens and price closes below Coral Trend
C4: Coral Trend colour remains bullish for duration of pullback
C5: After valid pullback, price then closes above Coral Trend
C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE):
C6.1: ADX and DI (Single indicator)
C6.1.1: Green line is above red line
C6.1.2: Blue line > 20
C6.1.3: Blue trending up over last 1 candle
C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined)
C6.2.1: Absolute Strengeh Histogram colour is blue
C6.2.2: HawkEye Volume Indicator colour is green
SHORT
C1: Coral Trend is bearish
C2: At least 1 candle where high is below Coral Trend since last cross below Coral Trend
C3: Pullback happens and price closes above Coral Trend
C4: Coral Trend colour remains bearish for duration of pullback
C5: After valid pullback, price then closes below Coral Trend
C6: Optional confirmation indicators (choose either C6.1 or C6.2 or NONE):
C6.1: ADX and DI (Single indicator)
C6.1.1: Red line is above green line
C6.1.2: Blue line > 20
C6.1.3: Blue trending up over last 1 candle
C6.2: Absolute Strengeh Histogram + HawkEye Volume Indicator (Two indicators combined)
C6.2.1: Absolute Strengeh Histogram colour is red
C6.2.2: HawkEye Volume Indicator colour is red
NOTE: All the optional confirmation indicators cannot be overlayed with Coral Trend so feel free to add each separately to the chart for visual purposes
Trade exit:
Stop Loss: Calculated by recent swing low over previous X candles (configurable with "Local High/Low Lookback")
Take Profit: Calculated from R:R multiplier * Stop Loss size
Credits
Strategy origin: TradeIQ's YouTube video called "I Finally Found 80% Win Rate Trading Strategy For Crypto"
It combines the following indicators for trade entry conditions:
Coral Trend Indicator by @LazyBear (Main indicator)
Absolute Strength Histogram | jh by @jiehonglim (Optional confirmation indicator)
Indicator: HawkEye Volume Indicator by @LazyBear (Optional confirmation indicator)
ADX and DI by @BeikabuOyaji (Optional confirmation indicator)
[Crypto] Supertrend - ADX - Reversal Candle* Commission: 0.06% = Binance future fee.
1. ADX INDICATOR: 1h & 4h timeframe have a strong strength for open trade.
- ADX smoothing: 14.
- DI length: 14.
- ADX STRONG > 25.
2. SUPERTREND INDICATOR:
- Long trend when closes candle is above the green line.
- Short trend when closes candle is below the red line.
3. REVERSAL CANDLES DETECT:
- Cancels the Short trend if occurs 5 bullish reversal candles.
- Cancels the Long trend if occurs 5 bearish reversal candles.
- Cancels the Short trend if occurs bullish Engulfing reversal candles.
- Cancels the Long trend if occurs bearish Engulfing reversal candles.
4. OPEN POSITION RULE:
- BUY/LONG: reject to Supertrend at current timeframe.
- SELL/SHORT: reject to Supertrend at current timeframe.
5. Autotrade with Money management: requires Pro, Pro +, Premium Tradingview & Webhook service.
6. Winrate of 129 coin pairs of Binance future
7. DEEP BACKTEST:
- BITCOIN ALL TIME HISTORY INDEX
- ETHEREUM ALL TIME HISTORY INDEX
- LITECOIN BINANCE FUTURE
- BINANCE COIN BINANCE FUTURE
- XRP BINANCE FUTURE
Heikin Ashi - The WhaleThe strategy is based on Heikin Ashi calculation, you do not need to switch the candle to HA.
The HA is used as a base entry, if a candle or two candles are bullish, then is valid to open a position, you can select the validation, one or two candles.
Also, the strategy mainly uses volume indicators as a confluence, you can select VWAP , VWMA , and Volume Oscillator, in addition to ADX which has two ways to validate the entry.
Base entry: One or two bullish HA candles (candles without a lower wick)
Confluence Indicators:
ADX: Will give a positive signal only if ADX is above the threshold, or if +DI is above -DI, or both.
VWAP: will give a positive signal if HA close is above VWAP.
VWMA: composite of 3 MA (20, 25, 50). There are multiple options to set it as confluence, the first option is to check if the short is bigger than the long and long is bigger than the base. The other options are to check the close status, which is bigger than which MA. You can find the description of each option in the strategy box
The sell is based on trailing stop loss (TSL), while the stop loss is based lowest X candle, the strategy will look back to the lowest number of the HA candles and set it as stop loss.
The Brain Trust Presets Strategies [BTC / ETH] [PrismBot] [Lite]This strategy contains 9 different timeframe strategies (2 strategy types with pre-adjusted filter options for the different timeframes) tailored to BTC ( Bitcoin ) and ETH ( Ethereum ) on Binance. While I've listed these prebuilt strategies for specific timeframes, they are versatile enough to be checked and tested on other timeframes, and exchanges as well. I have been careful to avoid any curvefitting or overfitting. Included is useful default order settings, but we wanted to ensure you, the user, has control over the order settings for your own equity and trading.
These strategies are created, tailored, tested, and actively used by me.
It is up to you to do your own due diligence when testing these strategies on your exchange, and for your use, and PrismBot bears no responsibility for losses from the use of these strategies.
These strategies employ a variety of methods. Notable inclusions are other live strategies of mine including but not limited to:
ADX + MACD
RSI
Consolidations
Bull Bear Power
Volume Calculations
Open Interest Data
All of these setups include trend trading methods intended to maximize profitability in strong trending markets, and filters deployed to prevent failures in consolidation, though nothing is failproof.
You can control your leverage, quantity calculations, and other order settings. However, all other strategy input parameters are controlled by the strategy selectors.
Some strategies use 1.5 to 1 Risk to Reward ratio while others use 1:1.
How we execute trades for each strategy:
For 10m and 45m
we use a variety of settings for a Normalized MACD and ADX indicator. The thesis is we detect Normalized MACD crossovers at specific values and only allow trading of the strategy when the ADX is above a specific value.
For 15m, 1H, and 45m
we utilize the RSI crossovers of overbought and oversold and use the RSI moving average to filter trades. The thesis is we detect overbought for long and oversold for short.
For each strategy we use additional filters such as Bull Bear Power, Volume Flow, and Open Interest calculations to simply validate a trade.
Automatic Mode
In automatic mode, we detect your timeframe and current coin chart to decide one of the strategies from our database. If you want to manually select a different strategy or try the strategies on different cryptocurrencies, you can disable automatic mode entirely.
Contrarian Scalping Counter Trend Bb Envelope Adx and StochasticContrarian Scalping is an trading strategy designed to take advanted of a counter-trend.
The advantage of these strrategies types is that they have a good profitability but with do not great gain (in relation at the time frame).
Indicators used:
Bollinger
Envelope
ADX
Stochastic
Rules for entry
For short: close of the price is above upper band from bb and envelope, adx is below 30 and stochastic is above 50
For long: close of the price is below lower band from bb and envelope, adx is below 30 and stochastic is below 50
Rules for exit
For short: either close of the candle is below lower band of bb or enveloper or stochastic is below 50
For long: either close o the candle is above upper band of bb or envelope or stochastic is above 50
If there are any questions let me know !
Forex Scalping 1min Bollinger Bands, RSI and ADX Trading SystemThis is a Forex Scalping Trading Sytem based on the Bollinger Bands.
Its suited for major pairs, with lowest possible comission (below 1 pip) and with timeframes ranging between 1-15 min.
Indicators:
Bollinger bands
ADX
RSI
Rules for entry:
Long Entry: price to move below the upper Bollinger Bands RSI raise above the 30 line and ADX<32 at the same time.
Short Entry: price to move above the upper Bollinger Bands, RSI raise below the 70 line and ADX<32 at the same time.
Rules for exit
Profit Exit: 3 options: 1, exit position when the price touches the middle band, 2) when the price touches the opposite band, X pips target profit.
Loss Exit: X pips loss
MA Crossover Strategy with MA Turning Point Exits + ADX filterThis strategy uses @rthomson's "MA Crossover Strategy with MA Turning point Exits" and combines it with ADX.
This strategy filters out any entries where ADX < 20. In fact you can set the value for ADX threshold. (Generally value under 20 for ADX is considered as non trend zone)
EURUSD DinhChienFX's signal V4.0Risk/reward: 1/1.3 | Entry by: Upper/Lower | Keltner crossing: 2 | Candle not entry: 80% | Stochastic: 70/15 | Adx: 31/9/9 | Notrade friday
Max risk: 3% - Risk / reward: 1 / 1.3.
1. Trend identification:
... Keltner: Price Through Upper / Lower 1 gives 1 point. 2 points are eligible for entry.
... Stochastic:
...... k> 70: Uptrend. k <15: Down trend.
... ADX: 31 provides strong trend following signal.
2. Entry point:
... Price corrects to Upper / Lower when 3 conditions Keltner , Stochastic & ADX indicator meet.
3. Not trade friday.
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"Use the link below to obtain access to this indicator" or "PM us to obtain access"
PRO TREND PULLBACK
PRO TREND PULLBACK – trend-following pullback strategy (NAS100 / US30 focus, 1m)
What is this?
- EMA-based trend + pullback entry logic, with optional VWAP and EMA-order filters.
- Built-in preset system for NAS100/US30 on the 1-minute timeframe (Safe / Balanced / Turbo), plus a fully manual “Custom” mode.
Core logic (quick overview)
1) Trend filter:
- Above EMA TREND: long bias, below: short bias
- Optional: VWAP filter, EMA order filter, HTF EMA TREND filter, Multi-EMA direction filter
2) Pullback trigger:
- Pullback level selectable: FAST / MID / SLOW EMA
- Long: touch + bullish confirmation, Short: touch + bearish confirmation (toggleable)
3) Quality filters:
- RSI zone filter (separate for long/short)
- Candle filters: doji / oversized candle / wick (pin-zone) / low-volatility block
- ADX trend-strength filter (via ta.dmi), entry cooldown (bar-based)
- Sideways/range handling: Filter / Penalty / Edge-only mode (ADX + slope + “chop” cross counter)
Risk management / trade management (backtest & automation)
- ATR-based SL/TP: SL, TP1, TP2 (TP1 partial close optional)
- Break-even trigger based on ATR (optional)
- “Max bars in trade” time-based exit (optional)
- Volatility-regime scaling: dynamic SL/TP scaling in high-volatility regimes (optional)
Signal grading (Grade / Score)
- Radar-style scoring + grade: S / A / B / C
- Structural penalties (e.g., lower low / higher high, EMA50 touch, proximity to swing high)
- Trend “fatigue” penalty (down-weights repeated same-direction signals)
- Optional “Lux SMC-lite” score layer (BOS/CHoCH + OB + EQH/EQL + Premium/Discount)
- Optional “ABC-lite (Elliott A-B-C)” score layer (pivot-based)
Alerts / Robot JSON (for webhook)
- Built-in JSON alerts via alert() with watchlist-friendly fields:
secret, strategy, signal, signal_type, symbol, timeframe, time (UTC), price, + optional grade/score
- TradingView alert setup: Condition = “Any alert() function call”
(Webhook URL + your own secret is recommended)
Important notes
- This is a STRATEGY (strategy) intended for backtesting and signal logic. Before live use, test thoroughly and account for slippage/spread differences.
- Pivot-based components (SMC-lite / ABC-lite) are naturally confirmation-based (delayed), so “structure/ABC” values do not print instantly.
- Not financial advice. Use at your own risk.
Suggested starting setup
- Presets: Auto + Balanced (NAS100/US30 1m), then fine-tune with Safe/Turbo.
- For robot mode: turn useRobotAlert=ON and change payloadSecret to a unique value.
Composite PR Signal (Trend↔Revert + ADX gate)Core Components
1. Dynamic Inputs
Max/PR windows (maxLen, prWin) – define historical lookbacks for oscillators and percentile ranks.
Smoothing (smooth) – applies an EMA filter to stabilize composite scores.
Threshold (th) – governs entry sensitivity.
Holding period (hBars) – maximum bars allowed in a trade.
Execution options – allow shorting, fast approximations for PR and CCI.
2. Custom Utility Functions
The script implements optimized versions of common TA operations:
Rolling sums, delays, and moving averages (EMA, RMA, SMA).
Lazy rolling extrema (efficient highest/lowest lookups).
Stateful arrays for tracking oscillator values across bars.
Fast approximations for percentile ranks and indicators.
3. Indicators Used
The system calculates a broad set of oscillators, including:
Trend/Momentum: ROC, TRIX, TSI, MACD histogram, OBV ROC, AO, CMF, BOP, UO, ADX.
Reversion/Oscillators: RSI, Stochastic K/D, MFI, Williams %R, CCI, CMO.
Each is converted into a percentile rank (PR) to normalize values between 0–100.
4. Composite Scoring
Two composite signals are built:
Trend Score – averages normalized outputs of momentum indicators.
Reversion Score – averages normalized outputs of oscillators prone to mean reversion.
ADX Gate – when ADX PR is high, the strategy favors trend score; when low, it favors reversion score.
Final score is smoothed and compared against entry thresholds.
5. Trade Logic
Entry:
Long: When composite score crosses above +th.
Short: When composite score crosses below -th (if enabled).
Exit:
Opposite crossover signal.
Or trade duration exceeds hBars.
6. Risk/Execution Parameters
Initial capital: 100,000
Commission: 0.01% per trade
Fixed order size: 100 units
No pyramiding
Intended Use
This script is designed for:
Swing trading across multiple assets (equities, forex, crypto).
Adapting to market regimes — capturing breakouts during strong trends, but fading moves when markets are choppy.
DNSE VN301!, ADX Momentum StrategyDiscover the tailored Pine Script for trading VN30F1M Futures Contracts intraday.
This strategy applies the Statistical Method (IQR) to break down the components of the ADX, calculating the threshold of "normal" momentum fluctuations in price to identify potential breakouts for entry and exit signals. The script automatically closes all positions by 14:30 to avoid overnight holdings.
www.tradingview.com
Settings & Backtest Results:
- Chart: 30-minute timeframe
- Initial capital: VND 100 million
- Position size: 4 contracts per trade (includes trading fees, excludes tax)
- Backtest period: Sep-2021 to Sep-2025
- Return: over 270% (with 5 ticks slippage)
- Trades executed: 1,000+
- Win rate: ~40%
- Profit factor: 1.2
Default Script Settings:
Calculates the acceleration of changes in the +DI and -DI components of the ADX, using IQR to define "normal" momentum fluctuations (adjustable via Lookback period).
Calculates the difference between each bar’s Open and Close prices, using IQR to define "normal" gaps (adjustable via Lookback period).
Entry & Exit Conditions:
Entry Long: Change in +DI or -DI > Avg IQR Value AND Close Price > Previous Close
Exit Long: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI < Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price < Previous Close
Entry Short: Change in +DI or -DI > Avg IQR Value AND Close Price < Previous Close
Exit Short: (all 4 conditions must be met)
- Change in +DI or -DI > Avg IQR Value
- RSI > Previous RSI
- Close–Open Gap > Avg IQR Gap
- Close Price > Previous Close
Disclaimers:
Trading futures contracts carries a high degree of risk, and price movements can be highly volatile. This script is intended as a reference tool only. It should be used by individuals who fully understand futures trading, have assessed their own risk tolerance, and are knowledgeable about the strategy’s logic.
All investment decisions are the sole responsibility of the user. DNSE bears no liability for any potential losses incurred from applying this strategy in real trading. Past performance does not guarantee future results. Please contact us directly if you have specific questions about this script.
