Cyber Strategy V1Сyber Strategy V1 – Indicator Testing & Strategy Execution Framework
✅ Overview
Cyber Strategy V1 is a closed-source strategy framework engineered to turn any of yours external indicator into a systematic, rule-based trading system. Designed for rigorous testing and live deployment, it combines multi-signal inputs, confirmations and automated execution paths to help traders and developers validate signal quality and manage risk with precision.
✅ Core Functionality
Multi-Source Independent Signal Inputs
Reversal Logic
Take Profit: up to 5 staggered TP levels, specified as percentage
Stop Loss: configurable via fixed percentage or dynamic SL that trails a reverse signals.
✅ Statistical Drawdown Analysis
For all profitable trades, tracks the maximum intratrade drawdown.
Computes percentile levels of profitable trades that hits minimum drawdowns to inform:
Entry buffer zones (e.g. avoid entering during transient noise)
Partial entry scaling prices.
✅ Signal Confirmation
Optional confirmation delays: hold entry until other signal section send a confirmation from another indicator.
✅ Automated Execution Integrations
Cornix Text Alerts: Generates pre-formatted alerts compatible with Cornix for semi-automated or bot trading.
Webhook Support: Emits JSON payloads on order-fill events to any endpoint, enabling full automation through third-party services or custom order-routing systems.
Important Notes
⚠️ THIS STRATEGY DOES NOT INCLUDE INDICATORS. Examples shown on screenshots use third-party tools. NO PROPRIETARY INDICATORS INCLUDED: Cyber Strategy V1 relies entirely on external signal inputs.
⚠️ All backtesting parameters are customizable; thorough backtesting under realistic slippage, fees and spread assumptions is essential before live deployment.
Göstergeler ve stratejiler
rsi indicatorRSIBB Strategy Based on Oversold, Overrbuy Bolinger Band Band. In US 30. Time Indicators is set and the timing is in 5 minutes
An example of Long. When the green marker appears, our entry point is High High If the price fails to reject our High High, our entry will change to the next candlestick. This process will continue until we enter the position.
A marker appears in purple when the green marker appears to us, in which information appears:
The first digit related to the strategist code
The second digit is that we have a few pips to be sure of the candlestick of our entry point
The third digit is our SL that is a coefficient of overall size of yogurt (HIGH - LOW)
Charmin is the digit of our tp that is a coefficient of overall size of yogurt (HIGH - LOW)
In 6 sets
Ichimoku Cloud Breakout Only LongThis is a very simple trading strategy based exclusively on the Ichimoku Cloud. There are no additional indicators or complex rules involved. The key condition is that we only open long positions when the price is clearly above the cloud — indicating a bullish trend.
For optimal results, the recommended timeframes are 1D (daily) or 1W (weekly) charts. These higher timeframes help filter out market noise and provide more reliable trend signals.
We do not short the market under any circumstances. The focus is purely on riding upward momentum when the price breaks out or stays above the cloud.
This strategy works best when applied to growth stocks with strong upward trends and good fundamentals — such as Google (GOOGL), Tesla (TSLA), Apple (AAPL), or NVIDIA (NVDA).
ATF DonMiguel V3ATF Don Miguel V3
This strategy combines trend-following with price structure and momentum analysis:
Trend shifts are detected using adaptive bands based on EMAs and volatility.
A trade is only triggered when the following additional conditions are met:
a Fair Value Gap (FVG) is present in the price structure,
the RSI is in overbought (for Short) or oversold (for Long) territory,
and volume is significantly above average.
Positions are managed using a dynamic ATR-based trailing stop.
Goal: Only trade high-quality signals when trend, structure, momentum, and volume all align.
Algo BOT 3.0 IndicatorAlgo BOT 3.0 is a multi-layered reversal detection tool designed for 30-minute and higher timeframes, ideal for intraday or swing trading.
Key Features:
1. Pivot Level Interactions:
- Detects candles that touch daily pivot levels (R1-R4, S1-S4, Pivot).
- Confirms valid signals using high/low conditions.
2. Fibonacci-Based Candle Zones:
- Auto-detects large green/red candles.
- Calculates intra-candle Fibonacci retracement levels (0.382, 0.618).
- Marks potential retracement/reaction zones.
3. CPR Zone Detection:
- Shows Top CPR & Bottom CPR from daily high/low/pivot.
- Detects price interaction with CPR for reaction signals.
4. VWAP + MVWAP Filtering:
- Uses VWAP and a custom-length MVWAP (default 50).
- Helps confirm institutional support/resistance zones.
5. Trend Indicators:
- Includes RSI, SMA, EMA for manual trend/direction analysis.
6. Visual Alerts:
- Triangles appear when valid support/resistance touch candles form.
- Pivot and CPR levels are plotted with clear color coding.
Note:
This is a closed-source script due to its original logic combining multiple professional-grade concepts. It offers a structured and unique way to detect pivot-based reversals and breakout zones.
Best used on 30-minute or higher timeframes.
AltCoin Index Correlation🧠 AltCoin Index Correlation — Strategy Overview
AltCoin Index Correlation is a dynamic EMA-based trading strategy designed primarily for altcoins, but also adaptable to stocks and indices, thanks to its flexible reference index system.
🧭 Strategy Philosophy
The core idea behind this strategy is simple yet powerful:
Price action becomes more meaningful when it aligns with broader market context.
This script analyzes the correlation between the asset’s trend and a reference index trend, using dual EMA (Exponential Moving Average) crossovers for both.
When both the altcoin and the reference index (e.g. Altcoin Dominance, BTC Dominance, Total Market Cap, or even indices like the NASDAQ 100 or S&P 500) are aligned in trend direction, the script considers it a high-confidence setup.
It also includes:
Optional inverse correlation logic (for contrarian setups)
Custom leverage settings (e.g., 1x, 1.8x, etc.)
A dynamic scale-out mechanism during weakening trends
Date filtering for controlled backtests
A live performance dashboard with equity, PnL, win rate, drawdown, APR, and more
⚙️ Default Settings & Backtest Results
Timeframe tested: 1H
Test date: May 20, 2025
Sample: 100 high-cap altcoins
Reference index: CRYPTOCAP:OTHERS.D (Altcoin Dominance)
Leverage: 1.8x (180% of capital used)
📊 With default settings:
Win rate: ~80%
Higher profits, due to increased exposure
Best suited for confident trend followers with higher risk tolerance
📉 With fixed capital or 1x leverage:
Win rate improves to ~90%
Lower returns, but greater capital preservation
Ideal for conservative or risk-managed trading styles
🔄 Versatility
While tailored for altcoins, this strategy supports traditional markets as well:
Easily switch the reference index to OANDA:NAS100USD or S&P 500 for stock correlation trading
Adjust EMA lengths and leverage to match the asset class and volatility profile
🧩 Suggested Use
Best used on trending markets (not sideways)
Ideal for 1H timeframes, but adjustable
Suitable for traders who want a rules-based, macro-aware entry/exit system
Try it out, customize it to your style, try different settings and share your results with the community!
Feedback is welcome — and improvements are always in progress.
🚀 ### Check my profile for other juicy hints and original strategies. ### 🚀
Dual Timeframe DMI + StochRSI StrategyThis strategy works on the principle that there's a higher probability of accuracy if the LTF follows the HTF trend.
The HTF DMI plus Stochastic RSI cross will trigger a reaction on the LTF.
There's a quick 2:1 scalp on the 2m timeframe.
Loom AlgoLoom Algo indicator is a trading tool designed to help identify both trend following opportunities and counter trend ones,
What it does?
Loom Algo combines multiple different types of indicators to produce trend following signals while filtering those signals as much as possible to eradicate low quality ones and avoid taking trend following trades in a choppy market.
How does it work :
The main functionality of this indicator is for it to generate trend following signals based off the STOCHASTIC indicator and then to filter it using different indicators such as the ADX, the McGinley Dynamic, the VWMA, the Kalman Midline, and other ones as well,
The basic way to produce those signals is to look for trend shifts and not for tops or bottoms, so it tries to identify the moments when the trend shifts from bullish to bearish or the opposite based on the Stochastic indicator, but because whenever we have a ranging market we will get choppy and weak signals so here comes to use for filtering indicators such as the ADX as to measure the strength of the trend to verify that we have an actual strong movement before generating a signal, then there is an extra optional layer of filtering with the use of trend following indicators such as the VWMA, so that the indicator would verify that the price has actually started to move in a new direction with momentum and then to generate its signal.
Filtering indicators:
As mentioned earlier i incorporated different indicators within Loom Algo to use as filters for the buy and sell signals to filter out the weak ones as much as possible, each one of them might work differently on different assets and different time frames, so i combined the ones that showed me the best results on different assets and different chart types, and i leave the choice for each user to try the different filtering options on his preferred asset and check the ones that gives the best quality signals for the specific asset, time frame and chart type of the user`s preference.
The colored Volatility bands:
And for the bands the logic is to have a smoothed line that stays with the price in a very smoothed way that first shows the main direction by seeing is the price above or below the midline at the same time the outer bands are made to demonstrate and show mean reversion and counter trend opportunities, so when the price would be extended in one direction it would reach the mid or outer bands and then we can add this to our analysis and understand that there is a higher chance of a reversals at those places,
Summary of features:
buy and sell signals (not to be followed without additional analysis and good risk management)
Volatility bands to clarify price direction better
Optional Stop loss and Take profit
Filtering options to filter out low quality signals
Optional session filter
The Default settings:
The default setting are the best ones i found after testing for Gold, the 5 min chart, and the normal chart candles, as it gives the best results for that asset, the user can change the settings and test as he wishes to find the most suitable set of settings for him,
How to use it?:
Bands settings:
1- Bands Smoothing, is the smoothing of the midline and the the 4 outer bands as they are an identical extension of the midline
2- Bands Distance Type, is the way to calculate the bands distance from the midline whether in percentage or points
3- Outer Band 1 Distance, this is the distance for the first two bands from the midline
4- Outer Band 2 Distance, this is the distance for the second outer two bands from the midline
Signals settings:
1- Filters from 1 to 8 are line indicators that are used as filter so we only take the buy signals when the price is above the filters we turned on or we only take sell signals when the price is under the filters we turned on, and each filter has its own values that we can change
2- ADX filter, this is about turning on or off the ADX filter so we only take trades when the ADX is above certain values to insure that we have a strong trend
3- Momentum type, and Trades speed those are options based of the stochastic indicator to change the frequency of the signals
4- SL and TP, we have both stop loss and take profit options with a choice to turn them on or off, if we turn them off then the indicator is going to close each signal when an opposite signal appears
5- Session filter, this is an option to filter out time, so we can make the indicator only take signals in certain sessions or time spans daily that we choose and it can be turned on or off.
Performance & Testing:
Loom Algo has been back tested with a conservative amount risk per trade, using realistic commission and slippage settings.
While performance may vary based on user settings, the system is designed to adapt to both trending and ranging conditions.
Back testing Settings Used in Preview:
For transparency and realistic expectations, the performance preview of Loom Algo is based on the following strategy settings, chosen to reflect practical trading conditions:
Initial Capital: $10,000 USD
Position Size: 50% of available equity per trade
Commissions: 0.03% per trade
Slippage: 2 ticks
Active Filters:
Filter1 (On)
Filter2 (On)
ADX Filter (On)
Momentum Type: Fast
Trade Speed: 4
Risk Management
Risk controls are enabled to demonstrate realistic position handling:
Stop Loss: 1% (0.01)
Take Profit: 2% (0.02)
Disclaimer: This tool is for educational purposes only. Past performance does not guarantee future results. It does not constitute financial advice or promise of profits.
advanced conceptsThe advanced concepts - fibonacci forward mapping tool is a final mock up of works completed in 2025. It is primarily an Artificial Neural Network commonly found on TradingView, however built with a variety of adaptations.
Credits go to a multitude of people: (1) Pine Reference Manual (2) Stack Overflow (3) resources found on the internet (4) Artificial Neural Network coders on TradingView.
This script is being released because it has accidentally become useful in the form of providing a way of identifying fibonacci patterns on charts. Simply plot two points between two strategy entries and minus the two numbers to get a resultant number, and see if it fits in with your fibonacci strategy.
Resultant numbers could be: 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144 and so on.
It doesn't usually matter so much if you do not get a fibonacci number, you just have to be close to it.
Thank you to all of those people who have published scripts on the TradingView website. I have inadvertently utilised examples of others, code in the script I have completed.
MACD Green column buy Red column sell Histogram StrategyBuy Condition:
When the MACD Histogram turns from negative to positive (from red bars to green bars), it triggers strategy.entry('MACD_Buy', strategy.long), executing a buy operation.
Sell Condition:
When the MACD Histogram turns from positive to negative (from green bars to red bars), it triggers strategy.close('MACD_Buy'), executing a sell operation.
Plotting remains unchanged:
Green and red bars are displayed correctly, and both the MACD and signal lines are plotted as usual.
Disclaimer:
This strategy is for educational and reference purposes only.
You should not use this strategy for real trading, and I am not responsible for any losses incurred from using this strategy under any circumstances.
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逻辑解释：
1.买入条件：
当 MACD 的 Histogram 从负转正（由红柱变为绿柱）时，触发 strategy.entry('MACD_Buy', strategy.long)，执行买入操作。
2.卖出条件：
当 MACD 的 Histogram 从正转负（由绿柱变为红柱）时，触发 strategy.close('MACD_Buy')，执行卖出操作。
3.绘图保持不变：
绿柱和红柱都正常显示，MACD 和信号线也正常绘制。
本策略仅供学习与参考，不构成投资建议
您不应该使用此策略进行真实交易，任何情况下使用此策略造成的损失本人概不负责
xujie 策略// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © kaustime
//@version=6
strategy("xujie 策略", overlay=true, fill_orders_on_standard_ohlc = true)
// my_ma(src,length,my_type="sma")=>
// ma = 0.0
// if my_type == 'sma'
// ma := ta.sma(src, length)
// if my_type == 'ema'
// ma := ta.ema(src, length)
// if my_type == 'wma'
// ma := ta.wma(src, length)
// if my_type == 'hma'
// ma := ta.hma(src, length)
// if my_type == 'rma'
// ma := ta.rma(src, length)
// if my_type == 'vwma'
// ma := ta.vwma(src, length)
// ma
// myt_type1 = input.string("sma",
// "fastma",options = ,inline = "ma",group = "ma setting")
// int length1 = input.int(20,"fastma length",group = "ma setting")
// myt_type2 = input.string("sma",
// "slowma",options = ,inline = "ma",group = "ma setting")
// int length2 = input.int(200,"slowma length",group = "ma setting")
// ma1 = my_ma(close,length1,myt_type1)
// ma2 = my_ma(close,length2,myt_type2)
// long_ma = ta.crossover(ma1,ma2)
// short_ma = ta.crossunder(ma1,ma2)
// plot(ma1,color=color.white,linewidth = 3)
// plot(ma2,color=color.red,linewidth = 3)
//----------------------------------------------------------------------------------------------------rsi지표
alertcondition(3 >= 2, title='Alert on Green Bar', message='Green Bar!')
rsilength = input.int(14,"data",group = "rsi")
sx = input.int(70,"우선",group = "rsi")
xx = input.int(30,"아래선",group = "rsi")
zx = input.int(50,"중선",group = "rsi")
rsi=ta.rsi(close,rsilength)
plot(rsi,"rsi")
hline(sx,"우선")
hline(xx,"아래선")
hline(zx,"중선")
//xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
long_rsi = ta.crossover(rsi,xx)//아래선
long_close = ta.crossover(rsi,sx)//우선
short_rsi = ta.crossunder(rsi,sx)
short_close = ta.crossunder(rsi,xx)
//-------------------------------------------------------------------------- 윌리암스 지표
length = input.int(14, minval=1, title="길이",group = "williams'")
overbought = input.int(-20, title="Overbought Level",group = "williams'")// -20
oversold = input.int(-80, title="Oversold Level",group = "williams'") //-80
highestHigh = ta.highest(high, length)
lowestLow = ta.lowest(low, length)
percentR = -100 * (highestHigh - close) / (highestHigh - lowestLow)
// plot(percentR, title="Williams %R", color=color.blue, linewidth=2)
// hline(overbought, title="Overbought", color=color.red, linestyle=hline.style_dashed)
// hline(oversold, title="Oversold", color=color.green, linestyle=hline.style_dashed)
// hline(-50, title="Midpoint", color=color.gray, linestyle=hline.style_dotted)
//xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
long_percentR = ta.crossover(percentR,oversold)//아래선
long_percentR_close = ta.crossover(percentR,overbought)//우선
short_percentR = ta.crossunder(percentR,overbought) //우선 -20
short_percentR_close = ta.crossunder(percentR,oversold)//아래선 -80
//----------------------------------------------------------------------------------------볼린저 밴드 지표
int bb1 = input.int(20,'길이',group = "bb")
int bb2 = input.int(2,'멀티',group = "bb")
bb_type = input.string("sma",'출처',options = ,group = "bb")
f_bb(src, length, mult,bb_type='sma') =>
float basis = na
if bb_type == 'sma'
basis := ta.sma(src, length)
if bb_type == 'ema'
basis := ta.ema(src, length)
if bb_type == 'wma'
basis := ta.wma(src, length)
if bb_type == 'hma'
basis := ta.hma(src, length)
if bb_type == 'rma'
basis := ta.rma(src, length)
if bb_type == 'vwma'
basis := ta.vwma(src, length)
float dev = mult * ta.stdev(src, length)
= f_bb(close, bb1, bb2,bb_type)
// plot(pineMiddle,color=color.red) // 중선
// plot(pineUpper)//웃선
// plot(pineLower,color=color.white)//밎선
// plot(close,color = color.rgb(228, 243, 11))
//xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
bb_long = ta.crossover(close,pineLower)//웃선
bb_close = ta.crossunder(close,pineUpper)//웃선
short_bb = ta.crossunder(close,pineUpper) //우선
short_bb_close = ta.crossunder(close,pineLower)//아래선
if long_rsi and bb_long and long_percentR//and long_percentR and bb_long
alert("매수신호",alert.freq_all)
strategy.entry('long',strategy.long,alert_message = "매수신호")
if long_close and bb_close and long_percentR_close//and long_percentR and bb_long
strategy.close('long')
if short_rsi and short_bb and short_percentR//and long_percentR and bb_long
alert("매도신호",alert.freq_all)
strategy.entry('short',strategy.short,alert_message = "매도신호")
if short_close and short_bb_close //and long_percentR and bb_long
strategy.close('short')
//alert("매도",alert.freq_all)
Liquidity Grab Strategy (Volume Trap)🧠 Strategy Logic:
Liquidity Grab Detection:
The script looks for a sharp drop in price (bearish engulfing or breakdown candle).
However, volume remains flat (within 5% of the 20-period moving average), suggesting the move is manipulated, not genuine.
Fair Value Gap Confirmation (FVG):
It confirms that a Fair Value Gap exists — a gap between recent candle bodies that price is likely to retrace into.
This gap represents a high-probability entry zone.
Trade Setup:
A limit BUY order is placed at the base of the FVG.
Stop Loss (SL) is placed below the gap.
Take Profit (TP) is placed at the most recent swing high.
📈 How to Use It:
Add the strategy to your TradingView chart (1–5 min or 15 min works well for intraday setups).
Look for green BUY labels and plotted lines:
💚 Green = Entry price
🔴 Red = Stop loss
🔵 Blue = Take profit
The script will automatically simulate entries when conditions are met and exit either at TP or SL.
Use TradingView’s Strategy Tester to review:
Win rate
Net profit
Risk-adjusted performance
Trend Revisit Pullback Strategy (Final Working Box)📈 Trend Revisit Pullback Strategy
This TradingView Pine Script strategy identifies strong trend breakouts and accounts for natural pullbacks by:
Entering long or short on strong 1-bar breakouts
Allowing for pullback averaging if price retraces after entry
Expecting a revisit to the original entry price within 15 bars
Automatically exiting at break-even or using a custom TP/SL
Drawing a visual trade zone (entry → SL → revisit window) for easy reference
Optional labels and color-coded boxes to track each trade’s lifecycle
Ideal for trend traders who anticipate a pullback and prefer to manage risk with break-even exits or reward-to-risk parameters.
Gold Breakout Strategy - RR 4Strategy Name: Gold Breakout Strategy - RR 4
🧠 Main Objective
This strategy aims to capitalize on breakouts from the Donchian Channel on Gold (XAU/USD) by filtering trades with:
Volume confirmation,
A custom momentum indicator (LWTI - Linear Weighted Trend Index),
And a specific trading session (8 PM to 8 AM Quebec time — GMT-5).
It takes only one trade per day, either a buy or a sell, using a fixed stop-loss at the wick of the breakout candle and a 4:1 reward-to-risk (RR) ratio.
📊 Indicators Used
Donchian Channel
Length: 96
Detects breakouts of recent highs or lows.
Volume
Simple Moving Average (SMA) over 30 bars.
A breakout is only valid if the current volume is above the SMA.
LWTI (Linear Weighted Trend Index)
Measures momentum using price differences over 25 bars, smoothed over 5.
Used to confirm trend direction:
Buy when LWTI > its smoothed version (uptrend).
Sell when LWTI < its smoothed version (downtrend).
⏰ Time Filter
The strategy only allows entries between 8 PM and 8 AM (GMT-5 / Quebec time).
A timestamp-based filter ensures the system recognizes the correct trading session even across midnight.
📌 Entry Conditions
🟢 Buy (Long)
Price breaks above the previous Donchian Channel high.
The current channel high is higher than the previous one.
Volume is above its moving average.
LWTI confirms an uptrend.
The time is within the trading session (20:00 to 08:00).
No trade has been taken yet today.
🔴 Sell (Short)
Price breaks below the previous Donchian Channel low.
The current channel low is lower than the previous one.
Volume is above its moving average.
LWTI confirms a downtrend.
The time is within the trading session.
No trade has been taken yet today.
💸 Trade Management
Stop-Loss (SL):
For long entries: placed below the wick low of the breakout candle.
For short entries: placed above the wick high of the breakout candle.
Take-Profit (TP):
Set at a fixed 4:1 reward-to-risk ratio.
Calculated as 4x the distance between the entry price and stop-loss.
No trailing stop, no break-even, no scaling in/out.
🎨 Visuals
Green triangle appears below the candle on a buy signal.
Red triangle appears above the candle on a sell signal.
Donchian Channel lines are plotted on the chart.
The strategy is designed for the 5-minute timeframe.
🔄 One Trade Per Day Rule
Once a trade is taken (buy or sell), no more trades will be executed for the rest of the day. This prevents overtrading and limits exposure.
Livermore-Seykota Breakout StrategyStrategy Name: Livermore-Seykota Breakout Strategy
Objective: Execute breakout trades inspired by Jesse Livermore, filtered by trend confirmation (Ed Seykota) and risk-managed with ATR (Paul Tudor Jones style).
Entry Conditions:
Long Entry:
Close price breaks above recent pivot high.
Price is above main EMA (EMA50).
EMA20 > EMA200 (uptrend confirmation).
Current volume > 20-period SMA (volume confirmation).
Short Entry:
Close price breaks below recent pivot low.
Price is below main EMA (EMA50).
EMA20 < EMA200 (downtrend confirmation).
Current volume > 20-period SMA.
Exit Conditions:
Stop-loss: ATR × 3 from entry price.
Trailing stop: activated with offset of ATR × 2.
Strengths:
Trend-aligned entries with volume breakout confirmation.
Dynamic ATR-based risk management.
Inspired by principles of three legendary traders.
Intraday Trading Hit and Run# Strategy Overview
This is a short-term trading system designed for quick entries/exits (intraday). It uses multiple technical indicators to identify momentum trades in the direction of the trend, with built-in risk management through trailing stops.
# Main Components
1. Trend Filter
Uses two EMAs (10-period "fast" blue line and 100-period "slow" red line)
Only trades when:
Long: Price AND fast EMA are above slow EMA
Short: Price AND fast EMA are below slow EMA
2. Main Signal
////Stochastic Oscillator (14-period):
Buy when %K line crosses above %D line
Sell when %K crosses below %D
////Trend Strength Check
Smoothed ADX indicator (5-period EMA of ADX):
Requires ADX value ≥ 25 to confirm strong trend
3. Confirmation using Volume Filter (Optional)
Checks if current volume is 1.5× greater than 20-period average volume
# Entry Rules
A trade is only taken when:
All 3 indicators agree (EMA trend, Stochastic momentum, ADX strength)
Volume filter is satisfied (if enabled)
# Exit Rules
1. Emergency Exit:
Close long if price drops below fast EMA
Close short if price rises above fast EMA
2. Trailing Stop:
Actively protects profits by moving stop-loss:
Maintains 0.1% distance from highest price (longs) or lowest price (shorts)
# Risk Management
Only use 10% of account per trade
Includes 0.04% commission cost in calculations
All trades monitored with trailing stops
# How It Operates
The strategy looks for strong, high-volume momentum moves in the direction of the established trend (as determined by EMAs). It jumps in quickly ("hit") when conditions align, then protects gains with an automatic trailing stop ("run"). Designed for fast markets where trends develop rapidly.
You can use it on 15m, 1h or 4h
CANX MA Crossover© CanxStixTrader
Moving average crossover systems measure drift in the market. They are great strategies for time-limited traders. KEEP IT SIMPLE
This strategy works both for buys and sells using the reaction line to guide your position against the reactions.
HOW TO USE THE INDICATOR
1) Choose your market and timeframe.
2) Choose the length.
3) Choose the multiplier.
4) Choose if the strategy is long-only or bidirectional (longs & shorts).
TIPS
The strategy works best in bullish markets as that is the primary direction that market such as stocks, indexes and metals like to move.
- Increase the multiplier to reduce whipsaws
- Increase the length to take fewer trades
- Decrease the length to take more trades
- Try a Long-Only strategy to see if that performs better.
The base set up when you load the indicator is for the 1 minute chart on gold. We found that it also works well on the US Indexes. For other markets you may need to change the length and multiplier to suit the market and back test its results.
50-Week High Entry / 40-Week Low Exit StrategyThis is a simple long term strategy
Entry condition : You will enter the market when the stock’s current high exceeds its 50-week high. This condition enables you to identify upward momentum and capitalize on potential price surges.
Exit condition
Conversely, you will exit the market when the stock’s current low drops below its 40-week low. This exit strategy helps protect your capital by ensuring you withdraw from losing positions before further declines in price occur.
This trading strategy relies on the Donchian Channel indicator to monitor the relevant 50-week high and 40-week low levels. Given that this is a weekly trading strategy, all backtesting will be conducted using weekly timeframes.
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”).
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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.
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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.
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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.
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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.
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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.
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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!
EMA 10/20/50 Alignment Strategy### 📘 **Strategy Name**
**EMA 10/20/50 Trend Alignment Strategy**
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### 📝 **Description (for Publishing)**
This strategy uses the alignment of Exponential Moving Averages (EMAs) to identify strong bullish trends. It enters a long position when the short-term EMA is above the mid-term EMA, which is above the long-term EMA — a classic sign of trend strength.
#### 🔹 Entry Criteria:
* **EMA10 > EMA20 > EMA50**: A bullish alignment that signals momentum in an upward direction.
* The strategy enters a **long position** when this alignment occurs.
#### 🔹 Exit Criteria:
* The long position is closed when the EMA alignment breaks (i.e., the trend weakens or reverses).
#### 🔹 Additional Features:
* Includes a **date range filter**, allowing you to backtest the strategy over a specific period.
* Uses **100% of available capital** for each trade (position size auto-scales with account balance).
* No short positions, stop loss, or take profit are applied — this is a trend-following strategy meant to ride bullish moves.
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### ✅ Best For:
* Traders looking for a **simple, trend-based entry system**
* Testing price momentum strategies during specific market regimes
* Visualizing EMA stacking patterns in historical data
Smart Fib StrategySmart Fibonacci Strategy
This advanced trading strategy combines the power of adaptive SMA entries with Fibonacci-based exit levels to create a comprehensive trend-following system that self-optimizes based on historical market conditions. Credit goes to Julien_Eche who created the "Best SMA Finder" which received an Editors Pick award.
Strategy Overview
The Smart Fibonacci Strategy employs a two-pronged approach to trading:
1. Intelligent Entries: Uses a self-optimizing SMA (Simple Moving Average) to identify optimal entry points. The system automatically tests multiple SMA lengths against historical data to determine which period provides the most robust trading signals.
2. Fibonacci-Based Exits: Implements ATR-adjusted Fibonacci bands to establish precise exit targets, with risk-management options ranging from conservative to aggressive.
This dual methodology creates a balanced system that adapts to changing market conditions while providing clear visual reference points for trade management.
Key Features
- **Self-Optimizing Entries**: Automatically calculates the most profitable SMA length based on historical performance
- **Adjustable Risk Parameters**: Choose between low-risk and high-risk exit targets
- **Directional Flexibility**: Trade long-only, short-only, or both directions
- **Visualization Tools**: Customizable display of entry lines and exit bands
- **Performance Statistics**: Comprehensive stats table showing key metrics
- **Smoothing Option**: Reduces noise in the Fibonacci bands for cleaner signals
Trading Rules
Entry Signals
- **Long Entry**: When price crosses above the blue center line (optimal SMA)
- **Short Entry**: When price crosses below the blue center line (optimal SMA)
### Exit Levels
- **Low Risk Option**: Exit at the first Fibonacci band (1.618 * ATR)
- **High Risk Option**: Exit at the second Fibonacci band (2.618 * ATR)
Strategy Parameters
Display Settings
- Toggle visibility of the stats table and indicator components
Strategy Settings
- Select trading direction (long, short, or both)
- Choose exit method (low risk or high risk)
- Set minimum trades threshold for SMA optimization
SMA Settings
- Option to use auto-optimized or fixed-length SMA
- Customize SMA length when using fixed option
Fibonacci Settings
- Adjust ATR period and SMA basis for Fibonacci bands
- Enable/disable smoothing function
- Customize Fibonacci ratio multipliers
Appearance Settings
- Modify colors, line widths, and transparency
Optimization Methodology
The strategy employs a sophisticated optimization algorithm that:
1. Tests multiple SMA lengths against historical data
2. Evaluates performance based on trade count, profit factor, and win rate
3. Calculates a "robustness score" that balances profitability with statistical significance
4. Selects the SMA length with the highest robustness score
This ensures that the strategy's entry signals are continuously adapting to the most effective parameters for current market conditions.
Risk Management
Position sizing is fixed at $2,000 per trade, allowing for consistent exposure across all trading setups. The Fibonacci-based exit system provides two distinct risk management approaches:
- **Conservative Approach**: Using the first Fibonacci band for exits produces more frequent but smaller wins
- **Aggressive Approach**: Using the second Fibonacci band allows for larger potential gains at the cost of increased volatility
Ideal Usage
This strategy is best suited for:
- Trending markets with clear directional moves
- Timeframes from 4H to Daily for most balanced results
- Instruments with moderate volatility (stocks, forex, commodities)
Traders can further enhance performance by combining this strategy with broader market analysis to confirm the prevailing trend direction.
Breakout Core | by Solid#SignalsBreakout Core | by SolidSignals
General Overview
Breakout Core is an advanced breakout trading strategy designed for Bitcoin (BTC). Optimized for the unique market dynamics following the launch of BlackRock’s Spot ETFs in January 2024, it adapts to Bitcoin’s post-ETF volatility patterns. The strategy’s core strength lies in its low drawdown, achieved through a proprietary time-based signal-filtering algorithm that sets it apart from traditional breakout strategies. Breakout Core offers traders a reliable tool for navigating Bitcoin’s evolving market with reduced risk and enhanced precision.
Mechanisms
Breakout Core combines well-known indicators BB, EMAs, MAs with custom-tuned parameters to improve signal accuracy. Its unique feature is a proprietary time-filter algorithm that prioritizes high-probability breakout signals during specific high-volatility trading hours, derived from market analysis post-ETF launch. This algorithm minimizes false positives, particularly in volatile conditions, by integrating time-based volatility patterns with price action. The result is a robust strategy that optimizes entry and exit points for Bitcoin trading.
Objectives
Breakout Core aims to provide steady returns with controlled risk by targeting Bitcoin’s breakout patterns in the post-ETF market. Its low drawdown, achieved through extensive optimization and proprietary logic, makes it suitable for leverage trading (e.g., 3–5x leverage), balancing growth with capital protection. Tailored for BTC, the strategy equips traders with a precise tool to navigate Bitcoin’s transformed market dynamics.
Backtesting and Parameter Notes
Backtesting was performed using a $10,000 USDT account, risking up to 10% of equity per trade, including 0.06% commission fees and 2-tick slippage, aligned with standard exchange conditions. The strategy report details backtesting results from the launch of BlackRock’s Spot ETFs. These settings are the script’s defaults, ensuring transparency. Traders are encouraged to verify results using TradingView’s Deep Backtest feature to adapt to current market conditions.
Please note: Past performance does not guarantee future results.
Chart and Usage
The chart is clean and intuitive, displaying only Breakout Core’s buy and sell signals for easy interpretation. Parameters are pre-optimized for immediate use, with adjustable Take Profit (TP) and Stop Loss (SL) levels. Traders should validate custom settings via TradingView’s backtesting tools to ensure market compatibility. An integrated Alarm Panel supports API connectivity, providing clear Entry/Exit commands for Long and Short positions, enabling seamless automated trading workflows.
Originality Statement
Breakout Core is an original strategy developed by SolidSignals, leveraging standard indicators (Bollinger Bands, EMAs, MAs) combined with a proprietary time-filter algorithm. No third-party or open-source code is used, ensuring full compliance with TradingView’s originality requirements. The time-filter mechanism, based on post-ETF volatility analysis, distinguishes this strategy from conventional breakout approaches.
Important Disclaimer
Market conditions evolve continuously, and past performance is not indicative of future results. Traders are responsible for validating the strategy’s settings and performance under current market conditions before use.
