Ema cross strat / Turtle Trading This is just a simple EMA cross strategy which is meant to be similar to Turtle Trading Strategy.
It uses in default 4 Hour 21 / 10 EMA to long or short. This is not perfect but in the long run it will profit. Works best in bull market.
LINK TO ALERT :
Buscar en scripts para "ema"
EMA RSI Strategy
Simple strategy
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If the last two closes are in ascending order, the rsi is below 50 and ascending, and the current candle is above 200 ema, then LONG. If the last two closes are in descending order, the rsi is above 50 and descending, and the current candle is below 200 ema, then SHORT.
LONG Exit strategy:
ATR: Last 14 day
Lowest: The lowest value of the last 14 candles
Limit points = (Trade Price - Lowest + ATR) * 100000
trail_points : Limit/2
trail_offset = Limit/2
SHORT Exit strategy:
ATR: Last 14 day
Highest: The higher value of the last 14 candles
Limit points = (Trade Price - Highest + ATR) * 100000
trail_points : Limit/2
trail_offset = Limit/2
Backtest results for the AUDUSD pair gave positive results over the last three months.
I am testing this strategy using a python bot in a real environment this week and will update the results at the end of the week.
Disclaimer
This is not financial advice. You should seek independent advice to check how the strategy information relates to your unique circumstances.
We are not liable for any loss caused, whether due to negligence or otherwise arising from the use of, or reliance on, the information provided directly or indirectly by this strategy.
EMA Cross StrategyThis double EMA crossover strategy aims to illustrate a good strategy design.
It is currently the only published script that:
supports a proper date picker for the backtest period
is able to test in short and long mode only
EMA Cross
Uses EMA crosses as a signal for entry.
Configurable first TP profit level
Stop moves up to entry after first TP
Option to use ROC and Price Gap as filters to entries
EMA, WMA & RSI Strategy BacktestStrategy where on decides to go long or short depending on WMA, EMA and RSI indicators. Exit on hitting 5% profit or reversal of WMA w.r.t EMA
EMA StrategyThis is a simple EMA cross strategy. This script was published by CaptJava. I added in the ability to check off a box and allow shorting, the ability to select a back testing date range and also the ability to enter the buy message and sell message in the properties. You then create the webhook alert and put only this in the message:
{{strategy.order.alert_message}}
That will pull in your alert message dynamically.
I may add more features to this over time.
EMA Cross Strategy - Angara123Based on Anvamsi's script.
Added a filter to only enter trades when the RSI is greater than (or less than if shorting) the 26 period EMA of the RSI.
Turned off stop losses for better gains.
will add other features as we collaborate in chat
EMA EnvelopeThis is an attempt to convert gunbot's SG strategy into a proper TradingView strategy. The problem is that SG Sell Level relies on % above purchase price, which we don't actually know in TradingView. So we could try to get the average of the next bar or something, which maybe this is what the Slippage setting is? I'm not sure.
Anyways, using % above EMA does actually work as a strategy a bit. It's nothing like Turtle Rules by tmr0 though!
Will keep working on this gradually; feedback greatly appreciated!
EMA Intraday StrategyHere is a EMA intraday strategy. very profitable on the GBPAUD 1M charts if you are watching very closely, working on coding a indicator for it
Triple EMA Crossover StrategyTriple EMA Crossover Strategy
Overview
The Triple EMA Crossover Strategy is a trend-following trading system that utilizes three Exponential Moving Averages (EMAs) to identify potential entry and exit points in the market. This strategy is based on the principle that when shorter-term prices cross above longer-term prices, it can indicate a bullish trend, and conversely when they cross below, it can signal a bearish trend.
Components
Exponential Moving Averages (EMAs):
Short EMA: A fast-moving average that reacts quickly to price changes (commonly set to 9 periods).
Medium EMA: A medium-term average that smooths out price data and helps confirm trends (commonly set to 21 periods).
Long EMA: A slow-moving average that helps identify the overall trend direction (commonly set to 55 periods).
Trading Signals:
Buy Signal: A long entry is triggered when:
The Short EMA (9) crosses above the Medium EMA (21).
The Medium EMA (21) is above the Long EMA (55).
Sell Signal: A short entry is signaled when:
The Short EMA (9) crosses below the Medium EMA (21).
The Medium EMA (21) is below the Long EMA (55).
Stop Loss and Take Profit:
Stop Loss: Implement a predefined percentage or ATR-based stop loss to limit potential losses.
Take Profit: Set a target based on a risk-to-reward ratio that reflects your trading strategy's goals.
Advantages
Trend Identification: The EMA crossover system allows traders to identify the current trend dynamically, focusing on upward or downward price movements.
Simplicity: The strategy is straightforward, making it accessible for both new and experienced traders.
Flexibility: This method can be applied across multiple timeframes and asset classes, making it versatile for various trading styles.
Disadvantages
Lagging Indicator: Moving averages are lagging indicators, meaning signals may come later than the actual price movement, which can lead to missed opportunities.
Whipsaw Effect: In ranging markets, the strategy may produce false signals leading to potential losses.
Katik EMA BUY SELLThis strategy uses EMA 9, EMA 20, and EMA 200 to generate Buy and Sell signals.
BUY Conditions
EMA 9 crosses above EMA 20
Stoploss: Recent Swing Low
Target: EMA 9 touches or crosses EMA 200
SELL Conditions
EMA 9 crosses below EMA 20
Stoploss: Recent Swing High
Target: EMA 9 touches or crosses EMA 200
Features
Automatic Long & Short entries
Dynamic swing-based stoploss
Clear EMA plots with line width 3
Works on all timeframes
Advanced EMA Cross with Normalized ATR Filter, Controlling ADX
Description:
This strategy is based on EMA cross strategy and additional filters are used to get better results, a normalized ATR filter, and ADX control...
It aims to provide traders with a code base that generates signals for long positions based on market conditions defined by various indicators.
How it Works:
1. EMA: Uses short (8 periods) and long (20 periods) EMAs to identify crossovers.
2. ATR: Uses a 14-period ATR, normalized to its 20-period historical range, to filter out noise.
3. ADX: Uses a 14-period RMA to identify strong trends.
4. Volume: Filters trades based on a 14-period SMA of volume.
5. Super Trend: Uses a Super Trend indicator to identify the market direction.
How to Use:
- Buy Signal: Generated when EMA short crosses above EMA long, and other conditions like ATR and market direction are met.
- Sell Signal: Generated based on EMA crossunder and high ADX value.
Originality and Usefulness:
This script combines EMA, ATR, ADX, and Super Trend indicators to filter out false signals and identify more reliable trading opportunities.
USD Strength in the code is not working, just simulated it as PSEUDO CODE:
Strategy Results:
- Account Size: $1000
- Commission: Not considered
- Slippage: Not considered
- Risk: Manageable through parameters, now less than 5% per trade
- Dataset: Aim for more than 100 trades for a sufficient sample size
- Test Conditions: Test in 30 min chart for BTCUSDT
IMPORTANT NOTE: This script should be used for educational purposes and should not be considered as financial advice.
Chart:
- The script's output is plotted as Buy and Sell signals on the chart.
- No other scripts are included for clarity.
- Have tested with 30mins period
- You are encouraged to play with parameters, let me know if it helps you and/or if you can upgrade the code to a better level.
WHY DID I USE ATR AND ADX?
ATR filter is usually used for the following purposes.
Market Volatility: ATR measures how volatile the market is. High ATR values indicate that the price is experiencing significant fluctuations.
Filtering: Crossing a certain ATR threshold may indicate that the market is active enough to present trading opportunities.
Risk Management: ATR can also be used to set stop-loss and take-profit levels, helping to manage risk effectively.
And ADX is usually used for;
Trend Strength: ADX measures the strength of a trend. High ADX values indicate a strong trend.
Filtering: An ADX value above a certain level suggests that the trend is strong and it might be safer to trade.
Versatility: ADX does not indicate the direction of the trend, only its strength. This makes it useful in both bullish and bearish markets.
Using these indicators together can help filter out false signals and produce more reliable trading signals. While ATR helps to determine if the market is active enough, ADX measures the strength of the trend. Combined, they can create a more complex and effective trading strategy.
I've used ADX data to support generating a buy signal after a golden cross (bullish trend) and waiting until this is a strong trend. It sounds good to check for different trend strengths for bullish and bearish markets to decide a buy signal. Additionally I used ATR to check if the market has enough fluctuations.
Mathias & Christer EMASo this Strategy is my first at when writing it's not 100% finnished.
The strategy idé builds on EMA (9) being clearly over/under the EMA for some bars.
If the EMA is over this will make a triggerline that when EMA (1) crosses this line it signals a buy/sell.
I don't have a great TP or SL for this yet so as of now I'm only using oposit crossing of close for now.
Colors and indicators:
light green/red - indicates that EMA (9) has been crossed and that a new Triggerline is painted at that candles close position.
dark green/red and Up /down Arrow - indicats that the triggerline has been crossed and an order should be taken here.
green/red squares - are where the order closed.
purple line - EMA (9)
blue line - EMA (1)
Triangle Breakout Strategy with TP/SL, EMA Filter📌 Triangle Breakout Strategy with TP/SL, EMA Filters, and Backtest – Explained.
✅ 1. Pattern Detection – Triangle Breakout
The script scans for triangle patterns by detecting local pivot highs and pivot lows.
It uses two recent highs and two recent lows to draw converging trendlines (upper and lower boundaries of the triangle).
If the price breaks above the upper trendline, a bullish breakout signal is generated.
🎯 2. TP (Take Profit) & SL (Stop Loss)
When a bullish breakout is detected:
A buy order is placed using strategy.entry.
TP and SL levels are calculated relative to the current close price:
TP = 3% above the entry price
SL = 1.5% below the entry price
These are defined using strategy.exit.
📊 3. EMA Filter
An optional filter checks if:
Price is above both EMA 20 and EMA 50
Only if this condition is met, the strategy allows a long entry.
You can toggle the filter on or off with useEMAFilter.
📈 4. Backtesting with Strategy Tester
This script uses strategy() instead of indicator() to enable TradingView’s built-in backtest engine.
Every buy entry and exit (based on TP or SL) is recorded.
📌 5. Visuals
EMA 20 and EMA 50 lines are plotted on the chart.
A label is shown when a breakout is detected: "Breakout Up"
Results (profit, win rate, drawdown, etc.) can be viewed in the Strategy Tester panel.
inwCoin Simple EMA Cross Risk% Strategy.=========================
English
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Just very basic simple EMA cross
I'm using EMA 18 and EMA 120 daily
Buy : EMA18 crossover EMA120
Sell : EMA18 crossunder EMA120
this proven profitable for BTC since it likely to hover over EMA120 in bull market.
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Thai
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บางทีกลยุทธ ที่ดูเหมือนง่ายๆ โง่ๆ อย่าง EMA สองเส้น ตัดกัน
ถ้าดูตาม TF ใหญ่ มันก็ทำกำไรได้ ค่อนข้างดีเลยทีเดียวนะเนี่ย
บางที คนเราก็พยายามจะเล่นสั้นกันแทบตาย
หาสูตรพิสดารพันลึก
สุดท้าย เอาเข้าจริงๆ เล่นง่ายๆ ตามระบบง่ายๆ ใน TF ใหญ่ๆ ระดับ Daily หรือ Weekly ขึ้นไป
...ก็ได้ตังเหมือนกัน
ปัญหาคือ คนส่วนใหญ่ ทนกันไม่ได้ และนั่งเฉยๆ ไม่เป็นน่ะ 55555
มันคันมือเหลือเกิน จะต้องทำกำไรให้ได้ทุกวัน ไม่งั้นไม่เท่
สุดท้าย ไปเข้าๆ ออกๆ รัวๆ แทนที่เงินจะงอก ดันเสียเงินอีก
ดีไม่ดีเมาหมัด ยิ่งเทรดยิ่งเสีย เจ๊งกันเข้าไปใหญ่
Larry Williams 3 Period EMAs strategyLarry R. Williams explains this strategy in his book "Long-Term secrets to Short-Term trading", it consists of using two 3-period EMAs, one representing the Highs and the other the Lows.
When the price falls below the 3-period Lows EMA we have a long signal.
The trade is closed when the price closes above the 3-period Highs EMA . BINANCE:BTCUSDT
Fibonacci EMA averages (21, 34, 55, 89, 144)Just a simple script that plots the following EMA averages that are based on the fibonacci sequence: 21, 34, 55, 89, 144
First Script, buy/sell on EMASpent many hours working on a script to find out when the next earnings report is.. there should be a builtin feature but anyways, it's done now.. The strat is to buy and sell based on the EMA (Whatever that is) and to exit all entries if the Earnings report is within a week.
8 On 34 ema'sHi guy's
this simple dude send nice message
consider short/long when 8Ema Cross 34 Ema - If you learn this sutep and clear the false alarms (thats why it's - "consider") you can ride some waves
Enjoy
3 EMA + RSI with Trail Stop [Free990] (LOW TF)This trading strategy combines three Exponential Moving Averages (EMAs) to identify trend direction, uses RSI to signal exit conditions, and applies both a fixed percentage stop-loss and a trailing stop for risk management. It aims to capture momentum when the faster EMAs cross the slower EMA, then uses RSI thresholds, time-based exits, and stops to close trades.
Short Explanation of the Logic
Trend Detection: When the 10 EMA crosses above the 20 EMA and both are above the 100 EMA (and the current price bar closes higher), it triggers a long entry signal. The reverse happens for a short (the 10 EMA crosses below the 20 EMA and both are below the 100 EMA).
RSI Exit: RSI crossing above a set threshold closes long trades; crossing below another threshold closes short trades.
Time-Based Exit: If a trade is in profit after a set number of bars, the strategy closes it.
Stop-Loss & Trailing Stop: A fixed stop-loss based on a percentage from the entry price guards against large drawdowns. A trailing stop dynamically tightens as the trade moves in favor, locking in potential gains.
Detailed Explanation of the Strategy Logic
Exponential Moving Average (EMA) Setup
Short EMA (out_a, length=10)
Medium EMA (out_b, length=20)
Long EMA (out_c, length=100)
The code calculates three separate EMAs to gauge short-term, medium-term, and longer-term trend behavior. By comparing their relative positions, the strategy infers whether the market is bullish (EMAs stacked positively) or bearish (EMAs stacked negatively).
Entry Conditions
Long Entry (entryLong): Occurs when:
The short EMA (10) crosses above the medium EMA (20).
Both EMAs (short and medium) are above the long EMA (100).
The current bar closes higher than it opened (close > open).
This suggests that momentum is shifting to the upside (short-term EMAs crossing up and price action turning bullish). If there’s an existing short position, it’s closed first before opening a new long.
Short Entry (entryShort): Occurs when:
The short EMA (10) crosses below the medium EMA (20).
Both EMAs (short and medium) are below the long EMA (100).
The current bar closes lower than it opened (close < open).
This indicates a potential shift to the downside. If there’s an existing long position, that gets closed first before opening a new short.
Exit Signals
RSI-Based Exits:
For long trades: When RSI exceeds a specified threshold (e.g., 70 by default), it triggers a long exit. RSI > short_rsi generally means overbought conditions, so the strategy exits to lock in profits or avoid a pullback.
For short trades: When RSI dips below a specified threshold (e.g., 30 by default), it triggers a short exit. RSI < long_rsi indicates oversold conditions, so the strategy closes the short to avoid a bounce.
Time-Based Exit:
If the trade has been open for xBars bars (configurable, e.g., 24 bars) and the trade is in profit (current price above entry for a long, or current price below entry for a short), the strategy closes the position. This helps lock in gains if the move takes too long or momentum stalls.
Stop-Loss Management
Fixed Stop-Loss (% Based): Each trade has a fixed stop-loss calculated as a percentage from the average entry price.
For long positions, the stop-loss is set below the entry price by a user-defined percentage (fixStopLossPerc).
For short positions, the stop-loss is set above the entry price by the same percentage.
This mechanism prevents catastrophic losses if the market moves strongly against the position.
Trailing Stop:
The strategy also sets a trail stop using trail_points (the distance in price points) and trail_offset (how quickly the stop “catches up” to price).
As the market moves in favor of the trade, the trailing stop gradually tightens, allowing profits to run while still capping potential drawdowns if the price reverses.
Order Execution Flow
When the conditions for a new position (long or short) are triggered, the strategy first checks if there’s an opposite position open. If there is, it closes that position before opening the new one (prevents going “both long and short” simultaneously).
RSI-based and time-based exits are checked on each bar. If triggered, the position is closed.
If the position remains open, the fixed stop-loss and trailing stop remain in effect until the position is exited.
Why This Combination Works
Multiple EMA Cross: Combining 10, 20, and 100 EMAs balances short-term momentum detection with a longer-term trend filter. This reduces false signals that can occur if you only look at a single crossover without considering the broader trend.
RSI Exits: RSI provides a momentum oscillator view—helpful for detecting overbought/oversold conditions, acting as an extra confirmation to exit.
Time-Based Exit: Prevents “lingering trades.” If the position is in profit but failing to advance further, it takes profit rather than risking a trend reversal.
Fixed & Trailing Stop-Loss: The fixed stop-loss is your safety net to cap worst-case losses. The trailing stop allows the strategy to lock in gains by following the trade as it moves favorably, thus maximizing profit potential while keeping risk in check.
Overall, this approach tries to capture momentum from EMA crossovers, protect profits with trailing stops, and limit risk through both a fixed percentage stop-loss and exit signals from RSI/time-based logic.
