IBS (Internal Bar Strength) Trading Strategy for SPY and NDQImplementation by AlgoTradeKit
Overview
The IBS Trading Strategy is a daily bars long-only trading system, based on the concept of Internal Bar Strength (IBS). The strategy aims to identify potential reversals by monitoring how the previous bar’s close positions itself within its high-low range. It is suitable for stock and US indices. The default parameters are optimized for SPY/SPX and NDQ/QQQ
Strategy Concept
The Internal Bar Strength (IBS) is calculated using the formula:
IBS = (Previous Close - Previous Low) / (Previous High - Previous Low)
This value always lies between 0 and 1. An IBS value below 0.2 is typically interpreted as an oversold condition, while a value above 0.9 suggests an overbought state.
Trading Rules
- Long Entry :
- Condition 1 : IBS is below the user-defined entry threshold (default is 0.2).
- Condition 2 : The current price is above an N-period Exponential Moving Average (EMA) (default period is 252).
- Note : You can disable the EMA condition by setting the EMA period to 0.
- Long Exit
- The position is closed when IBS rises above the user-defined exit threshold (default is 0.9).
Customization Options
- IBS Entry Threshold : Adjust to set the sensitivity for entering a long trade based on oversold conditions.
- IBS Exit Threshold : Customize to define the exit point when the market becomes overbought.
- EMA Period : Set the lookback period for the EMA to align with your trend bias; disable this condition by setting the period to 0.
Risk Management & Trading Considerations
- Designed for daily charts, the strategy captures higher timeframe trends and minimizes noise.
- The entry and exit conditions are straightforward, aiming to avoid over-trading while letting clear signals dictate trade management.
- Always use proper risk management techniques and test the strategy thoroughly on historical data and in a simulated environment before applying it in live markets.
Disclaimer
This strategy is for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and consider your risk tolerance before making any trades.
חפש סקריפטים עבור "ema"
Double CCI Confirmed Hull Moving Average Reversal StrategyOverview
The Double CCI Confirmed Hull Moving Average Strategy utilizes hull moving average (HMA) in conjunction with two commodity channel index (CCI) indicators: the slow and fast to increase the probability of entering when the short and mid-term uptrend confirmed. The main idea is to wait until the price breaks the HMA while both CCI are showing that the uptrend has likely been already started. Moreover, strategy uses exponential moving average (EMA) to trail the price when it reaches the specific level. The strategy opens only long trades.
Unique Features
Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Double trade setup confirmation: Strategy utilizes two different period CCI indicators to confirm the breakouts of HMA.
Trailing take profit level: After reaching the trailing profit activation level scrip activate the trailing of long trade using EMA. More information in methodology.
Methodology
The strategy opens long trade when the following price met the conditions:
Short-term period CCI indicator shall be above 0.
Long-term period CCI indicator shall be above 0.
Price shall cross the HMA and candle close above it with the same candle
When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility.
At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with EMA. If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”.
Strategy settings
In the inputs window user can setup the following strategy settings:
ATR Stop Loss (by default = 1.75)
ATR Trailing Profit Activation Level (by default = 2.25)
CCI Fast Length (by default = 25, used for calculation short term period CCI
CCI Slow Length (by default = 50, used for calculation long term period CCI)
Hull MA Length (by default = 34, period of HMA, which shall be broken to open trade)
Trailing EMA Length (by default = 20)
User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is CCI and HMA.
The Commodity Channel Index (CCI) is a momentum-based technical indicator used in trading to measure a security's price relative to its average price over a given period. Developed by Donald Lambert in 1980, the CCI is primarily used to identify cyclical trends in a security, helping traders to spot potential buying or selling opportunities.
The CCI formula is:
CCI = (Typical Price − SMA) / (0.015 × Mean Deviation)
Typical Price (TP): This is calculated as the average of the high, low, and closing prices for the period.
Simple Moving Average (SMA): This is the average of the Typical Prices over a specific number of periods.
Mean Deviation: This is the average of the absolute differences between the Typical Price and the SMA.
The result is a value that typically fluctuates between +100 and -100, though it is not bounded and can go higher or lower depending on the price movement.
The Hull Moving Average (HMA) is a type of moving average that was developed by Alan Hull to improve upon the traditional moving averages by reducing lag while maintaining smoothness. The goal of the HMA is to create an indicator that is both quick to respond to price changes and less prone to whipsaws (false signals).
How the Hull Moving Average is Calculated?
The Hull Moving Average is calculated using the following steps:
Weighted Moving Average (WMA): The HMA starts by calculating the Weighted Moving Average (WMA) of the price data over a period square root of n (sqrt(n))
Speed Adjustment: A WMA is then calculated for half of the period n/2, and this is multiplied by 2 to give more weight to recent prices.
Lag Reduction: The WMA of the full period n is subtracted from the doubled n/2 WMA.
Final Smoothing: To smooth the result and reduce noise, a WMA is calculated for the square root of the period n.
The formula can be represented as:
HMA(n) = WMA(WMA(n/2) × 2 − WMA(n), sqrt(n))
The Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent data points, making it more responsive to recent price changes than a Simple Moving Average (SMA). In a WMA, each data point within the selected period is multiplied by a weight, with the most recent data receiving the highest weight. The sum of these weighted values is then divided by the sum of the weights to produce the WMA.
This strategy leverages HMA of user given period as a critical level which shall be broken to say that probability of trend change to the upside increased. HMA reacts faster than EMA or SMA to the price change, that’s why it increases chances to enter new trade earlier. Long-term period CCI helps to have an approximation of mid-term trend. If it’s above 0 the probability of uptrend increases. Short-period CCI allows to have an approximation of short-term trend reversal from down to uptrend. This approach increases chances to have a long trade setup in the direction of mid-term trend when the short-term trend starts to reverse.
ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements. It’s also important to make a note, that script uses HMA to enter the trade, but for trailing it leverages EMA. It’s used because EMA has no such fast reaction to price move which increases probability not to be stopped out from any significant uptrend move.
Backtest Results
Operating window: Date range of backtests is 2022.07.01 - 2024.08.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 100%
Maximum Single Position Loss: -4.67%
Maximum Single Profit: +19.66%
Net Profit: +14897.94 USDT (+148.98%)
Total Trades: 104 (36.54% win rate)
Profit Factor: 2.312
Maximum Accumulated Loss: 1302.66 USDT (-9.58%)
Average Profit per Trade: 143.25 USDT (+0.96%)
Average Trade Duration: 34 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 2h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
5 ema strategyThis Strategy is based of Subhashish Pani's (power of stocks) 5 EMA Strategy.strategy used for sell in 5 minutes and for buy in 15 minutes ..
Rules for this strategy ..
Sell signal -
1) if price is above 5 Ema and not touching Ema use as alert candle..
2) if price break low of alert candle strategy open trade ..
3) if price move more upside low of alert candle keep change into next candle ..
4) input we can select number of trade per day .as rule should take only 4 signal should execute
5) stop loss is fixed highest high of last 2 candle and take profit is input multiply of stop loss
buy signal-
1) if price is below 5 Ema and not touching Ema use as alert candle..
2) if price break high of alert candle strategy open trade ..
3) if price move more downside high of alert candle keep change into next candle ..
4) input we can select number of trade per day .as rule should take only 4 signal should execute
5) stop loss is fixed lowest low of last 2 candle and take profit is input multiply of stop loss
notes -input can be selected which side should take signal either buy or sell side ...number of trade can be adjusted ..
Disclaimer -Traders can use this script as a starting point for further customization or as a reference for developing their own trading strategies. It's important to note that past performance is not indicative of future results, and thorough testing and validation are recommended before deploying any trading strategy.
Three Bars Play Strategy [JoseMetal]============
ENGLISH
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- Description:
This strategy is based on two simple candlestick patterns (you can pick between 2 variants) with an extra option to require trigger candles to be opposite to the closing one (explained below).
There are several customizable settings such as take profit, stop loss and break even (all based on ATR).
You can customize starting and ending date for the testings.
Other options such as allow switch position if strategy SHORTs when you are LONG and vice versa.
There's an additional optional EMA filter.
- LONG / SHORT ENTRY:
Original pattern: for LONG, current candle must close ABOVE the HIGH of previous candle and the candle 3 positions back, opposite conditions for SHORT.
Variant pattern: for LONG, the current candle must close ABOVE the HIGH of the previous candle and the candle before that one too, opposite conditions for SHORT.
Optional: require the trigger candles to be opposite, ex: for LONG you need the previous candles to be RED (bearish).
Optional: EMA filter, price must be ABOVE for LONGs, below for SHORTs.
- EXIT CONDITION:
Stop Loss or Take Profit, based on ATR.
- Visual:
The script prints the Take Profit as a GREEN line, Stop Loss as a RED line and entry price with a WHITE line.
If enabled, the Break Even required price is BLUE, and the new Stop Loss level (for break even or protecting profit) is AQUA.
- Recommendations:
This strategy is great on DAILY on most assets, including crypto, forex and gold.
12H seems to work in most cases, lower timeframes are worse.
- Customization:
You can customize indicator settings (ATR, EMA...).
Stop Loss and Take Profit ATR multipliers are also customizable.
The break even is optional, required level and break even levels (also based on ATR) are custom too.
Almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
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ESPAÑOL
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- Descripción:
Ésta estrategia se basa en dos patrones simples de velas (puedes elegir entre 2 variantes) con una opción extra para requerir que las velas de activación sean opuestas a la de cierre (se explica más adelante).
Hay varios ajustes personalizables como el take profit, el stop loss y el break even (todos basados en el ATR).
Puedes personalizar la fecha de inicio y finalización de las pruebas.
Otras opciones como permitir el cambio de posición si la estrategia cambie a SHORT cuando está LONG y viceversa.
Hay un filtro de EMA opcional adicional.
- ENTRADA LARGA / CORTA:
Patrón original: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y de la vela 3 posiciones atrás, condiciones opuestas para SHORT.
Patrón variante: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y la vela anterior a esa también, condiciones opuestas para SHORT.
Opcional: requiere que las velas de activación sean opuestas, por ejemplo: para LONG requiere que las velas anteriores sean ROJAS (bajistas).
Opcional: fltro EMA, el precio debe estar POR ENCIMA para los LONGs, por debajo para los SHORTs.
- CONDICIÓN DE SALIDA:
Stop Loss o Take Profit, basado en el ATR.
- Visual:
El script dibuja el Take Profit como una línea VERDE, el Stop Loss como una línea ROJA y el precio de entrada con una línea BLANCA.
Si está habilitado, el precio de break even requerido es AZUL, y el nuevo nivel de Stop Loss (para el break even o asegurar ganancias) es CELESTE.
- Recomendaciones:
Ésta estrategia es estupenda en DIARIO en la mayoría de los activos, incluyendo criptos, fórex y oro.
En 12H parece funcionar en la mayoría de los casos, las temporalidades inferiores son peores.
- Personalización:
Puedes personalizar la configuración de los indicadores (ATR, EMA...).
Los multiplicadores de Stop Loss y Take Profit ATR también son personalizables.
El break even es opcional, el nivel requerido y los niveles de break even (también basados en ATR) son personalizables también.
Casi todo es personalizable, para los colores y estilos de trazado compruebe la pestaña "Estilo".
¡Que lo disfrutes!
Hulk Strategy x35 Leverage 5m chart w/Alerts This strategy is a pullback strategy that utilizes 2 EMAs as a way of identifying trend, MACD as an entry signal, and RSI and ADX to filter bad trades. By using the confirmation of all of these indicators the strategy attempts to catch pullbacks, and it is optimized to wait for high probability setups. Take not that the strategy is optimized for use on BTCUSDT along with 35 times leverage(Using leverage is risky). The Hulk Strategy waits for strong trend confirmation and then attempts to identify pullbacks using MACD and RSI. By using these it identifies strong short term movement against the trend(hence the name Hulk). To use the strategy wait for the strategy to make an entry, and then enter with a stop loss of 1.1% and a take profit of 1.35% with respect to if it is a long or short position. The trade frequency of this strategy is high as it is made for use on the 5m timeframe. But this does not mean you will have to be staring at your computer constantly as an average of 1 trade takes place each day. This will vary a lot though, somedays the strategy enters up to 4 times. I wish you good trading and hope that you like this strategy!
P.S. The indicators on my chart are visualizations of the indicators used in the strategy, they are not necessary for the strategy to work though. Also the colored in cloud on the price chart is an EMA cloud and it comes with the strategy when you add it to your chart. This EMA cloud consists of two EMAs a 50 and a 200 EMA.
Triple Supertrend + Stoch RSI + 200 EMA by @DaviddTechInspired by YouTube (again) I decided to backtest this strategy.
Here is my Triple Supertrend + Stoch RSI + 200 EMA v0.1 --
The Strategy :
Uses the 3 supertrends.
200 EMA
Stoch RSI
-- LONG --
* When over 200 ema and a Stoch RSI Cross happens below the oversold 20 then we wait for the 2 or 3 Supertrends to pass to green.
-- SHORT --
* When under 200 ema and a Stoch RSI Cross happens above the overbrought 80 then we wait for the 2 or 3 Supertrends to pass to red.
NOTES :
This was proven to be much better on manually backtesting. So, if you do spot a problem please DM me.
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
3 RSI 6sma/ema ribbon crypto strategyThis is a very efficient swing trading strategy designed for crypto long timeframes like 2h+.
Initially we have 3 RSI .
AFter that we use them as source for 6 SMA/EMA for each RSI, 5, 30, 50, 70, 90, 100. With those we create a ribbon that we are going to use in order to check the direction of the trend.
Rules for entry:
For long : if either all the SMA/EMA's from the 2nd RSI are telling us to go long, or all the all SMA/EMA's from the 3rd rsi are telling us to go long F
For short : if either all the SMA/EMA's from the 2nd RSI are telling us to go short, or all the all SMA/EMA's from the 3rd rsi are telling us to go short
We exit when we get an opposite condition than the entry one.
Caution: this strategy has no risk management inside, so use it with caution. If you have any questions , let me know !
CRYPTO 3EMA Strategy with Take Profit & Stop Loss based on ATRSimple 3 EMA Strategy with plotted Take Profit and Stop Loss
Entry condition:
- Middle EMA cross above the Slow EMA
- Set take profit and stop loss exit conditions based on ATR Indicator
Exit condition:
- Fast EMA cross below the Middle EMA
RSI EMA SMA StratThis script looks at the RSI EMA and RSI SMA crossovers when above a certain price EMA
It was mainly written for swingtrading and only for long positions on a daily timeframe for BTC and ETH. They idea is to have a script that indicates when to convert your BTC /ETC to a stable coin and when to buy in again.
You could try to use it for other positions (short, long, etc..) and other coins but I didn't test these.
When the RSI EMA & SMA hover around 50 for a few days in flat lines and you get a buy signal it may be best to wait a few days longer to see what direction they take.
The default values for RSI EMA , RSI SMA and price EMA gave the best return (start out with an amount of x coins in 2015 and end up with the biggest possible amount of coins today). Again, this was only tested on daily. Feel free to tweak these when using other timeframes or other coins
3XCROSS STRATEGYThis strategy uses 3x resolution and exponential moving everages to
define entry points.
How to use:
When blue EMA crosses down red EMA this is a signal for short
and when blue EMA crosses up red EMA this is a signal for long.
You can also use EMA lines as support and resistance levels.
Use 30 min and above timeframes to reduce the amount of signals.
The indicator uses higher resolution and looks into the future for calculations, so
there might be some repaint during high volatility at calculation of the current bar.
To avoid this, you may enter into the position after the close of the current bar after receiving a signal.
If you want to receive alerts in your tradingview, use my alert indicator for this strategy - 3XCROSS ALERTS .
Use it carefully and leave your feedback.
bhramaji EMA Cross Strategy bhramaji EMA Cross Strategy
bhramaji EMA Cross Strategy
bhramaji EMA Cross Strategy
bhramaji EMA Cross Strategy
bhramaji EMA Cross Strategy
EMA_Cross_TimeframeIndicator made to show the EMAs in different timeframes.
indicator gives buys signal when the EMA of the current chart (emaA1) crosses the EMA of the 1H chart (emaH1). And it gives the signal of sale when the EMA of the current chart (emaA1), crosses down the EMA of the 1H chart (emaH1) and the closing is below the emaH1.
NOTE 1: In the tests that I have done, it has given great signs of purchase, but with the sales signals, I still have to find the best result.
NOTE 2: Do not blindly use any indicators, analyze them, and use the indicator to help confirm your inputs and outputs.
I am open to suggestions for improvements.
Simple profitable trading strategyThis strategy has three components.
Philakones EMAs are a sequence of five fibonacci EMAs. They range from 55 candles (green) to 8 candles (red) in length. A strong trend or breakout is marked by the emas appearing in sequence of their length from 8 to 55 or vice versa. These EMAs are also used to signal an exit. Only two EMAs are used for exit signals - when the 13 EMA crosses over/under the 55 EMA.
RSI gives a bullish signal when 40 > rsi > 70. Exit signals are oversold (30) or overbought (70)
Stochastics give a bullish signal when stoch < 80 and an exit signal when > 95.
Results include 3 ticks of slippage and taker fees of .002. Provides a pretty smooth equity curve with a 73% win rate and beats buy and hold by than 10x (returns about 60x overall) since start of 2017.
GOLD EMA Crossover Strategy This EMA Crossover Strategy is designed for intraday trading on the 5-minute chart.
It uses three EMAs (fast, mid, slow) to identify momentum shifts and trigger long or short entries. Risk management is dollar-based, with default settings of $100 risk per trade and $300 profit target. Entries are taken when the fast EMA crosses above/below the mid or slow EMA, with stops and targets calculated dynamically. The strategy runs across all hours and uses fixed position sizing (default 3 contracts). It is intended as a framework for traders to adapt and optimize to their own instruments and risk preferences.
TrendPilot AI v2 — Adaptive Trend Day Trading StrategyOverview
TrendPilot AI v2 is a structured, rules-based day trading strategy that identifies and follows market momentum using a sophisticated blend of technical indicators. Optimized for 15-minute and higher timeframes on high market cap cryptocurrencies (AAVE, SOL, ETH, BCH, BTC) to minimize manipulation risks, it adapts to changing market conditions with dynamic risk management and controlled re-entry logic to maximize trend participation while minimizing noise.
Core Logic
Multiple EMA Trend Confirmation — Uses three Exponential Moving Averages (fast, medium, slow) to detect robust bullish, bearish, or neutral trends, ensuring trades align with the prevailing market direction.
ADX Momentum Filter — Employs an ADX-based filter to confirm strong trends, avoiding entries in choppy or low-momentum markets.
Smart Entry Filter — Optional ATR-based buffer (period 14, multiplier 1.5) around the fast EMA prevents entries at overextended prices, enhancing trade precision.
Flexible Exit System — Offers multiple exit options: fixed take-profit (default 1.7 offset), trend-reversal exits, or ATR-based trailing stops (period 14, multiplier 2.0), with secure modes requiring candle closes for confirmation to gain Max Profit.
Controlled Re-Entry Logic — Allows re-entries after take-profit or price-based stop-loss with configurable wait periods (default 6 bars), max attempts (default 2), and EMA touch requirements (fast, medium, or slow).
State-Aware Risk Management — Tracks trend states and recent exits to adapt entries, with daily trade limits (default 5 long/short) and loss cooldowns (default 2 stop-losses) for disciplined trading.
How to Use & Configuration
Markets & Timeframes
Works with high market cap cryptocurrencies (AAVE, SOL, ETH, BCH, BTC).
Optimized for intraday charts (15m–4h) but adaptable to higher timeframes (e.g., 1h, 4h).
Trade Direction Settings
Dual Trades — Trades both long and short, quickly re-aligning after trend reversals.
Long Only — Ignores bearish signals, ideal for bullish markets or strong uptrends.
Short Only — Ignores bullish signals, suited for bearish markets or downtrends.
Risk Management Settings
Stop Loss Types
Trend Reversal — Closes positions when an opposite trend signal is confirmed (default).
Fixed Offset — Static stop at 3.5 offset from entry price (adjustable).
ATR Based — Dynamic trailing stop using ATR (period 14, multiplier 2.0), adjusting to market volatility.
Secure SL Mode — Optional setting to trigger price-based stops only on candle closes, reducing false exits.
Maximum recommended risk per trade is 5–10% of account equity.
Trade size is configurable (default 20 units) to match individual risk appetite.
Take Profit Options
Fixed Offset — Predefined target at 1.7 offset from entry (adjustable, e.g., 2.5 for SOL).
Secure TP Mode — Exits only when a candle closes beyond the target, ensuring reliable profit capture.
Trend Reversal — Exits on opposite trend signals when fixed TP is disabled, ideal for riding longer trends.
Trade Management Controls
Smart Entry Filter — Optional ATR-based buffer (period 14, multiplier 1.5) prevents chasing overextended prices.
Max Re-Entries — Limits continuation trades per trend cycle (default 2).
Daily Trade Limits — Caps long/short trades per day (default 5 each) for disciplined trading.
Daily Loss Cooldown — Pauses trading after a set number of stop-losses (default 2) per day.
Max Bars in Trade — Closes positions after a set duration (default 1440 bars) to prevent stale trades.
Configuration Steps
Apply the strategy to your chosen symbol (e.g., AAVE/USDT, SOL/USDT) and timeframe (15m or higher).
Select Trade Direction mode (Dual, Long Only, or Short Only).
Set Stop Loss (Trend Reversal, Fixed Offset, or ATR Based) and Take Profit (fixed or trend-reversal).
Adjust Smart Entry Filter, Max Re-Entries, Daily Limits, and Loss Cooldown as needed.
Test across multiple market conditions using the performance panel (top-right, showing Total Trades, Wins, Losses, Win Rate).
Enables automated trading via webhook integration with platforms like Binance Futures.
Set up alerts for long/short entries (🟢 Long, 🔴 Short) and exits (🎯 Max TP, 🛑 Max SL, 🚨 Force Exit).
Backtesting Guidance
Use realistic commission (default 0.01%) and slippage (default 2 ticks) matching your broker and instrument.
Validate performance over long historical periods (e.g., 3–6 months) to ensure >100 trades across different market regimes.
Avoid curve-fitting by testing on multiple high market cap coins (AAVE, SOL, ETH, BCH, BTC) and avoiding over-optimization.
EMA and ATR parameters are set to balanced, industry-standard values for realistic backtesting.
Best Practices, Defaults & Disclaimer
Best Practices
Use consistent and conservative position sizing (default 20 units).
Match commission and slippage to your broker’s actual rates.
Enable secure TP/SL modes for entries and exits to reduce false signals.
Test across different symbols, timeframes, and market phases before live trading.
Keep parameters simple to avoid overfitting.
Default Settings (Recommended Starting Point)
Initial Capital: $10,000
Order Size: Fixed, 20 units
Commission: 0.01%
Slippage: 2 ticks
Take Profit Offset: 1.7 (adjustable, e.g., 2.5 for SOL)
Stop Loss Type: Trend Reversal (default), Fixed Offset (3.5), or ATR Based (period 14, multiplier 2.0)
Smart Entry Filter: ATR period 14, multiplier 1.5 (optional)
Max Re-Entries: 2 per trend cycle
Daily Trade Limits: 5 long, 5 short
Daily Loss Cooldown: 2 stop-losses
Max Bars in Trade: 1440 bars
Subscription Information
TrendPilot AI v2 is an invite-only strategy, accessible only to approved subscribers.
Benefits include full access to all features, priority support, and regular updates.
Access is limited to ensure a high-quality user experience.
Compliance Status
No functional warnings in the script.
The script uses closed candle logic, ensuring no repainting or lookahead issues.
Designed for realistic backtesting with a $10,000 account and sustainable risk (≤5–10% per trade).
Disclaimer
This strategy is intended for educational and analytical purposes only. Trading involves substantial risk, and past performance does not guarantee future results. You are solely responsible for your own trading decisions and risk management.
Developed by: TrendPilotAI Team
For questions, setup guidance, or enhancement suggestions, contact TrendPilotAI Team via TradingView.
ZapTeam Pro Strategy v6 — EMA The Pro Strategy v6 script is a versatile trading strategy for TradingView that combines trend indicators, filters, and levels.
Main features:
EMA 21, EMA 50, EMA 200 — trend detection and entry signals via EMA crossovers.
Ichimoku Cloud (optional) — trend filtering and price position relative to the cloud.
ETH Dominance filter (optional) — filters trades based on Ethereum dominance (ETH.D).
ATR Stop-Loss — dynamic stop-loss based on volatility.
Two take-profits (TP1 and TP2) with optional 50/50 split.
Dynamic Fibonacci Levels — automatic or manual swings, with 1.272 and 1.618 extensions.
Custom S/R Levels — user-defined support/resistance levels.
Level lines extend across the chart and automatically adjust when zooming or panning.
Designed for trading in trending market conditions on any timeframe.
The strategy calculates position size based on percentage risk per equity.
SMC Breaker+Liquidity + HTF EMA — v61️⃣ Core Idea
This is a Smart Money Concept (SMC)
It looks for liquidity sweeps followed by price moving back in the opposite direction (breaker block behavior), while trading only in the direction of the higher timeframe (HTF) trend.
2️⃣ Components
A. Higher Timeframe EMA Bias
We take an EMA (default length: 50) from a higher timeframe (default: 4H).
If price is above that EMA → bias is bullish (we only take longs).
If price is below that EMA → bias is bearish (we only take shorts).
This keeps trades aligned with the bigger picture trend
B. Liquidity Sweep Detection
We find the highest high and lowest low over the past 5 bars
A sweep high happens when:
Price breaks above a recent high (liquidity grab), but
Closes back below it (false breakout).
A sweep low happens when:
Price breaks below a recent low, but
Closes back above it.
This indicates stop hunting — whales often trigger these before reversing price.
C. Breaker Block Logic
If a sweep low occurs and bias is bullish → BUY.
If a sweep high occurs and bias is bearish → SELL.
D. Optional ADX Filter
ADX checks market strength (trendiness).
If enabled, it only trades when ADX > threshold (default 20).
This avoids ranging/choppy markets.
3️⃣ Risk Management
Stop Loss (SL):
For longs → ATR(14) below the entry candle low.
For shorts → ATR(14) above the entry candle high.
Take Profit (TP):
SL distance × Risk:Reward ratio (default 3:1).
This means every win can be 3x bigger than a loss.
MNQ EMA StrategyThis strategy is not perfected yet. ONE MINUTE TIMEFRAME
The goal is to take Longs above the 5 ema when price is above all the 200, 30, and 5 ema.
Short side is when candle closes below the 5 ema and price is below the 300, 30, and 5 ema.
I use candle range blocks for different time zones to avoid excess orders from being triggered. As well as blocks when stoploss is hit or after a profitable trade of certain ticks.
There is an RSI to avoid trades when there isn't too much movement.
My goal is to get an entry when price trades above the 5 ema and then next candle passes it by .25 instead of entering immediately. The stoploss as the low of candle before entry and TP as 3 times the stoploss. I've tried a million times to make it like this but I don't know how to use pine script or Code.
The sell side is basically the same, enter at candle close below 5 ema wait for low to get swept to enter and stoploss above previous high, with TP 3 times the stoploss.
Publishing in hopes anyone knows how to adjust this
CAUTION THIS STRATEGY WORKS WITH CURRENT PRICE ACTION DUE TO ME USING RECENT TICK COUNT RATHER THAN BASED ON CANDLES OR PERCENTAGES. THIS WILL ONLY WORK AS LONG AS MARKET MOVES AS IT HAS BEEN SINCE 2024. CME_MINI:MNQ1!
VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL PlotsHere’s a quick user-guide to get you up and running with your “VWAP Breakout Strategy + EMAs + Clean Cycle/TP/SL Plots” script in TradingView:
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1. Installing the Script
1. Open TradingView, go to Pine Editor (bottom panel).
2. Paste in your full Pine-v6 code and hit Add to chart.
3. Save it (“Save as…”): give it a memorable name (e.g. “VWAP Breakout+EMAs”).
⸻
2. Configuring Your Inputs
Once it’s on the chart, click the ⚙️ Settings icon to tune:
Setting Default What it does
ATR Length 14 Period for average true range (volatility measure)
ATR Multiplier for Stop 1.5 How many ATRs away your stop-loss sits
TP1 / TP2 Multipliers (ATR) 1.0 / 2.0 Distance of TP1 and TP2 in ATR multiples
Show VWAP / EMAs On Toggles the blue VWAP line & EMAs (100/34/5)
Full Cycle Range Points 200 Height of the shaded “cycle zone”
Pivot Lookback 5 How many bars back to detect a pivot low
Round Number Step 500 Spacing of your dotted horizontal lines
Show TP/SL Labels On Toggles all the “ENTRY”, “TP1”, “TP2”, “STOP” tags
Feel free to adjust ATR multipliers and cycle-zone size based on the instrument’s typical range.
⸻
3. Reading the Signals
• Long Entry:
• Trigger: price crosses above VWAP
• You’ll see a green “Buy” tag at the low of the signal bar, plus an “ENTRY (Long)” label at the close.
• Stop is plotted as a red dashed line below (ATR × 1.5), and TP1/TP2 as teal and purple lines above.
• Short Entry:
• Trigger: price crosses below VWAP
• A red “Sell” tag appears at the high, with “ENTRY (Short)” at the close.
• Stop is the green line above; TP1/TP2 are dashed teal/purple lines below.
⸻
4. Full Cycle Zone
Whenever a new pivot low is detected (using your Pivot Lookback), the script deletes the old box and draws a shaded yellow rectangle from that low up by “Full Cycle Range Points.”
• Use this to visualize the “maximum expected swing” from your pivot.
• You can quickly see whether price is still traveling within a normal cycle or has overstretched.
⸻
5. Round-Number Levels
With Show Round Number Levels enabled, you’ll always get horizontal dotted lines at the nearest multiples of your “Round Number Step” (e.g. every 500 points).
• These often act as psychological support/resistance.
• Handy to see confluence with VWAP or cycle-zone edges.
⸻
6. Tips & Best-Practices
• Timeframes: Apply on any intraday chart (5 min, 15 min, H1…), but match your ATR length & cycle-points to the timeframe’s typical range.
• Backtest first: Use the Strategy Tester tab to review performance, tweak ATR multipliers or cycle size, then optimize.
• Combine with context: Don’t trade VWAP breakouts blindly—look for confluence (e.g. support/resistance zones, higher-timeframe trend).
• Label clutter: If too many labels build up, you can toggle Show TP/SL Labels off and rely just on the lines.
⸻
That’s it! Once you’ve added it to your chart and dialed in the inputs, your entries, exits, cycle ranges, and key levels will all be plotted automatically. Feel free to experiment with the ATR multipliers and cycle-zone size until it fits your instrument’s personality. Happy trading!
Scalping 15min: EMA + MACD + RSI + ATR-based SL/TP📈 Strategy: 15-Minute Scalping — EMA + MACD + RSI + ATR-based SL/TP
This scalping strategy is designed for 15-minute charts and combines trend-following and momentum confirmation with dynamic stop loss and take profit levels based on volatility.
🔧 Indicators Used:
EMA 50 — identifies the main trend
MACD Histogram — confirms momentum direction
RSI (14) — filters overbought/oversold conditions
ATR (14) — dynamically sets SL and TP based on market volatility
📊 Entry Conditions:
Long Entry:
Price is above EMA 50
MACD histogram is positive
RSI is above 50 but below 70
Short Entry:
Price is below EMA 50
MACD histogram is negative
RSI is below 50 but above 30
🛑 Risk Management:
Stop Loss: 1×ATR (user-configurable)
Take Profit: 2×ATR (user-configurable)
These values can be adjusted in the script inputs depending on your risk/reward preference or market conditions.
⚠️ Notes:
Strategy is optimized for scalping fast-moving pairs (e.g. crypto, forex).
Works best in trending markets.
Use backtesting and forward testing before live trading.
Long Term Profitable Swing | AbbasA Story of a Profitable Swing Trading Strategy
Imagine you're sailing across the ocean, looking for the perfect wave to ride. Swing trading is quite similar—you're navigating the stock market, searching for the ideal moments to enter and exit trades. This strategy, created by Abbas, helps you find those waves and ride them effectively to profitable outcomes.
🌊 Finding the Perfect Wave (Entry)
Our journey begins with two simple signs that tell us a great trading opportunity is forming:
- Moving Averages: We use two lines that follow price trends—the faster one (EMA 16) reacts quickly to recent price moves, and the slower one (EMA 30) gives us a longer-term perspective. When the faster line crosses above the slower line, it's like a clear signal saying, "Hey! The wave is rising, and prices might move higher!"
- RSI Momentum: Next, we check a tool called the RSI, which measures momentum (how strongly prices are moving). If the RSI number is above 50, it means there's enough strength behind this rising wave to carry us forward.
When both signals appear together, that's our green light. It's time to jump on our surfboard and start riding this promising wave.
⚓ Safely Riding the Wave (Risk Management)
While we're riding this wave, we want to ensure we're safe from sudden surprises. To do this, we use something called the Average True Range (ATR), which measures how volatile (or bumpy) the price movements are:
- Stop-Loss: To avoid falling too hard, we set a safety line (stop-loss) 8 times the ATR below our entry price. This helps ensure we exit if the wave suddenly turns against us, protecting us from heavy losses.
- Take Profit: We also set a goal to exit the trade at 11 times the ATR above our entry. This way, we capture significant profits when the wave reaches a nice high point.
🌟 Multiple Rides, Bigger Adventures
This strategy allows us to take multiple positions simultaneously—like riding several waves at once, up to 5. Each trade we make uses only 10% of our trading capital, keeping risks manageable and giving us multiple opportunities to win big.
🗺️ Easy to Follow Settings
Here are the basic settings we use:
- Fast EMA**: 16
- Slow EMA**: 30
- RSI Length**: 9
- RSI Threshold**: 50
- ATR Length**: 21
- ATR Stop-Loss Multiplier**: 8
- ATR Take-Profit Multiplier**: 11
These settings are flexible—you can adjust them to better suit different markets or your personal trading style.
🎉 Riding the Waves of Success
This simple yet powerful swing trading approach helps you confidently enter trades, clearly know when to exit, and effectively manage your risk. It’s a reliable way to ride market waves, capture profits, and minimize losses.
Happy trading, and may you find many profitable waves to ride! 🌊✨
Please test, and take into account that it depends on taking multiple longs within the swing, and you only get to invest 25/30% of your equity.
iD EMARSI on ChartSCRIPT OVERVIEW
The EMARSI indicator is an advanced technical analysis tool that maps RSI values directly onto price charts. With adaptive scaling capabilities, it provides a unique visualization of momentum that flows naturally with price action, making it particularly valuable for FOREX and low-priced securities trading.
KEY FEATURES
1 PRICE MAPPED RSI VISUALIZATION
Unlike traditional RSI that displays in a separate window, EMARSI plots the RSI directly on the price chart, creating a flowing line that identifies momentum shifts within the context of price action:
// Map RSI to price chart with better scaling
mappedRsi = useAdaptiveScaling ?
median + ((rsi - 50) / 50 * (pQH - pQL) / 2 * math.min(1.0, 1/scalingFactor)) :
down == pQL ? pQH : up == pQL ? pQL : median - (median / (1 + up / down))
2 ADAPTIVE SCALING SYSTEM
The script features an intelligent scaling system that automatically adjusts to different market conditions and price levels:
// Calculate adaptive scaling factor based on selected method
scalingFactor = if scalingMethod == "ATR-Based"
math.min(maxScalingFactor, math.max(1.0, minTickSize / (atrValue/avgPrice)))
else if scalingMethod == "Price-Based"
math.min(maxScalingFactor, math.max(1.0, math.sqrt(100 / math.max(avgPrice, 0.01))))
else // Volume-Based
math.min(maxScalingFactor, math.max(1.0, math.sqrt(1000000 / math.max(volume, 100))))
3 MODIFIED RSI CALCULATION
EMARSI uses a specially formulated RSI calculation that works with an adaptive base value to maintain consistency across different price ranges:
// Adaptive RSI Base based on price levels to improve flow
adaptiveRsiBase = useAdaptiveScaling ? rsiBase * scalingFactor : rsiBase
// Calculate RSI components with adaptivity
up = ta.rma(math.max(ta.change(rsiSourceInput), adaptiveRsiBase), emaSlowLength)
down = ta.rma(-math.min(ta.change(rsiSourceInput), adaptiveRsiBase), rsiLengthInput)
// Improved RSI calculation with value constraint
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
4 MOVING AVERAGE CROSSOVER SYSTEM
The indicator creates a smooth moving average of the RSI line, enabling a crossover system that generates trading signals:
// Calculate MA of mapped RSI
rsiMA = ma(mappedRsi, emaSlowLength, maTypeInput)
// Strategy entries
if ta.crossover(mappedRsi, rsiMA)
strategy.entry("RSI Long", strategy.long)
if ta.crossunder(mappedRsi, rsiMA)
strategy.entry("RSI Short", strategy.short)
5 VISUAL REFERENCE FRAMEWORK
The script includes visual guides that help interpret the RSI movement within the context of recent price action:
// Calculate pivot high and low
pQH = ta.highest(high, hlLen)
pQL = ta.lowest(low, hlLen)
median = (pQH + pQL) / 2
// Plotting
plot(pQH, "Pivot High", color=color.rgb(82, 228, 102, 90))
plot(pQL, "Pivot Low", color=color.rgb(231, 65, 65, 90))
med = plot(median, style=plot.style_steplinebr, linewidth=1, color=color.rgb(238, 101, 59, 90))
6 DYNAMIC COLOR SYSTEM
The indicator uses color fills to clearly visualize the relationship between the RSI and its moving average:
// Color fills based on RSI vs MA
colUp = mappedRsi > rsiMA ? input.color(color.rgb(128, 255, 0), '', group= 'RSI > EMA', inline= 'up') :
input.color(color.rgb(240, 9, 9, 95), '', group= 'RSI < EMA', inline= 'dn')
colDn = mappedRsi > rsiMA ? input.color(color.rgb(0, 230, 35, 95), '', group= 'RSI > EMA', inline= 'up') :
input.color(color.rgb(255, 47, 0), '', group= 'RSI < EMA', inline= 'dn')
fill(rsiPlot, emarsi, mappedRsi > rsiMA ? pQH : rsiMA, mappedRsi > rsiMA ? rsiMA : pQL, colUp, colDn)
7 REAL TIME PARAMETER MONITORING
A transparent information panel provides real-time feedback on the adaptive parameters being applied:
// Information display
var table infoPanel = table.new(position.top_right, 2, 3, bgcolor=color.rgb(0, 0, 0, 80))
if barstate.islast
table.cell(infoPanel, 0, 0, "Current Scaling Factor", text_color=color.white)
table.cell(infoPanel, 1, 0, str.tostring(scalingFactor, "#.###"), text_color=color.white)
table.cell(infoPanel, 0, 1, "Adaptive RSI Base", text_color=color.white)
table.cell(infoPanel, 1, 1, str.tostring(adaptiveRsiBase, "#.####"), text_color=color.white)
BENEFITS FOR TRADERS
INTUITIVE MOMENTUM VISUALIZATION
By mapping RSI directly onto the price chart, traders can immediately see the relationship between momentum and price without switching between different indicator windows.
ADAPTIVE TO ANY MARKET CONDITION
The three scaling methods (ATR-Based, Price-Based, and Volume-Based) ensure the indicator performs consistently across different market conditions, volatility regimes, and price levels.
PREVENTS EXTREME VALUES
The adaptive scaling system prevents the RSI from generating extreme values that exceed chart boundaries when trading low-priced securities or during high volatility periods.
CLEAR TRADING SIGNALS
The RSI and moving average crossover system provides clear entry signals that are visually reinforced through color changes, making it easy to identify potential trading opportunities.
SUITABLE FOR MULTIPLE TIMEFRAMES
The indicator works effectively across multiple timeframes, from intraday to daily charts, making it versatile for different trading styles and strategies.
TRANSPARENT PARAMETER ADJUSTMENT
The information panel provides real-time feedback on how the adaptive system is adjusting to current market conditions, helping traders understand why the indicator is behaving as it is.
CUSTOMIZABLE VISUALIZATION
Multiple visualization options including Bollinger Bands, different moving average types, and customizable colors allow traders to adapt the indicator to their personal preferences.
CONCLUSION
The EMARSI indicator represents a significant advancement in RSI visualization by directly mapping momentum onto price charts with adaptive scaling. This approach makes momentum shifts more intuitive to identify and helps prevent the scaling issues that commonly affect RSI-based indicators when applied to low-priced securities or volatile markets.
Strategy SEMA SDI WebhookPurpose of the Code:
The strategy utilizes Exponential Moving Averages (EMA) and Smoothed Directional Indicators (SDI) to generate buy and sell signals. It includes features like leverage, take profit, stop loss, and trailing stops. The strategy is intended for backtesting and automating trades based on the specified indicators and conditions.
Key Components and Functionalities:
1.Strategy Settings:
Overlay: The strategy will overlay on the price chart.
Slippage: Set to 1.
Commission Value: Set to 0.035.
Default Quantity Type: Percent of equity.
Default Quantity Value: 50% of equity.
Initial Capital: Set to 1000 units.
Calculation on Order Fills: Enabled.
Process Orders on Close: Enabled.
2.Date and Time Filters:
Inputs for enabling/disabling start and end dates.
Filters to execute strategy only within specified date range.
3.Leverage and Quantity:
Leverage: Adjustable leverage input (default 3).
USD Percentage: Adjustable percentage of equity to use for trades (default 50%).
Initial Capital: Calculated based on leverage and percentage of equity.
4.Take Profit, Stop Loss, and Trailing Stop:
Inputs for enabling/disabling take profit, stop loss, and trailing stop.
Adjustable parameters for take profit percentage (default 25%), stop loss percentage (default 4.8%), and trailing stop percentage (default 1.9%).
Calculations for take profit, stop loss, trailing price, and maximum profit tracking.
5.EMA Calculations:
Fast and slow EMAs.
Smoothed versions of the fast and slow EMAs.
6.SDI Calculations:
Directional movement calculation for positive and negative directional indicators.
Difference between the positive and negative directional indicators, smoothed.
7.Buy/Sell Conditions:
Long (Buy) Condition: Positive DI is greater than negative DI, and fast EMA is greater than slow EMA.
Short (Sell) Condition: Negative DI is greater than positive DI, and fast EMA is less than slow EMA.
8.Strategy Execution:
If buy conditions are met, close any short positions and enter a long position.
If sell conditions are met, close any long positions and enter a short position.
Exit conditions for long and short positions based on take profit, stop loss, and trailing stop levels.
Close all positions if outside the specified date range.
Usage:
This strategy is used to automate trading based on the specified conditions involving EMAs and SDI. It allows backtesting to evaluate performance based on historical data. The strategy includes risk management through take profit, stop loss, and trailing stops to protect gains and limit losses. Traders can customize the parameters to fit their specific trading preferences and risk tolerance. Differently, it can perform leverage analysis and use it as a template.
By using this strategy, traders can systematically execute trades based on technical indicators, helping to remove emotional bias and improve consistency in trading decisions.
Important Note:
This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
