TrendMasterPro_FekonomiTrend Change and Start Signals with Weighted Conditions
The Trend Change and Start Signals with Weighted Conditions indicator leverages various technical analysis tools to generate reliable buy and sell signals. This indicator helps investors more accurately identify trend changes and start signals in the market.
Features:
Utilizes popular technical analysis tools such as MACD, RSI, EMA, and Ichimoku Cloud.
Enhances signal accuracy with additional indicators like ADX and Volume Increase.
Allows users to adjust the weights of each condition to set their importance.
The Confidence Level parameter lets you adjust the accuracy rate of the signals.
Visual Signals make it easy to track buy and sell points directly on the chart.
How It Works:
Condition Weights: Users assign weights to indicators like MACD, RSI, EMA, and Ichimoku Cloud. If you have no idea, use default settings.
Condition Fulfillment: Checks if the conditions for each indicator are met.
Confidence Level: The total weight of the fulfilled conditions must exceed the user-defined confidence level.
Signal Generation: When these conditions are met, a buy or sell signal is generated and visually displayed on the chart.
Customization:
Personalize Signals: By adjusting the weights of the indicators used, you can personalize the signals to match your trading strategy and preferences.
Use Cases:
Short-Term Investments: Identify quick trend changes for short-term trading decisions.
Long-Term Investments: Detect long-term trend starts and changes for strategic investment decisions.
Technical Analysis: Combine different technical analysis tools for more comprehensive and reliable analyses.
With this indicator, you can better understand market movements and make more informed investment decisions. Try it now and enhance your trading strategy!
by Fekonomi
Экспоненциальное скользящее среднее (EMA)
Smart Trading Signals with TP/SL//@version=5
indicator("Smart Trading Signals with TP/SL", shorttitle="STS-TP/SL", overlay=true, max_labels_count=500)
// —————— Input Parameters ——————
// Signal Configuration
signalType = input.string("EMA Crossover", "Signal Type", options= )
emaFastLen = input.int(9, "Fast EMA Length", minval=1)
emaSlowLen = input.int(21, "Slow EMA Length", minval=1)
rsiLength = input.int(14, "RSI Length", minval=1)
rsiOverbought = input.int(70, "RSI Overbought", maxval=100)
rsiOversold = input.int(30, "RSI Oversold", minval=0)
// Risk Management Inputs
useFixedTP = input.bool(true, "Use Fixed TP (%)", tooltip="TP as percentage from entry")
tpPercentage = input.float(2.0, "Take Profit %", step=0.1)
tpPoints = input.float(100, "Take Profit Points", step=1.0)
useFixedSL = input.bool(true, "Use Fixed SL (%)", tooltip="SL as percentage from entry")
slPercentage = input.float(1.0, "Stop Loss %", step=0.1)
slPoints = input.float(50, "Stop Loss Points", step=1.0)
// —————— Calculate Indicators ——————
// EMAs for Trend
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
emaBullish = ta.crossover(emaFast, emaSlow)
emaBearish = ta.crossunder(emaFast, emaSlow)
// RSI for Momentum
rsi = ta.rsi(close, rsiLength)
rsiBullish = ta.crossover(rsi, rsiOversold)
rsiBearish = ta.crossunder(rsi, rsiOverbought)
// —————— Generate Signals ——————
buyCondition = (signalType == "EMA Crossover" and emaBullish) or (signalType == "RSI Divergence" and rsiBullish)
sellCondition = (signalType == "EMA Crossover" and emaBearish) or (signalType == "RSI Divergence" and rsiBearish)
// —————— Calculate TP/SL Levels ——————
var float entryPrice = na
var bool inTrade = false
// Calculate TP/SL based on user input
takeProfitPrice = useFixedTP ? entryPrice * (1 + tpPercentage / 100) : entryPrice + tpPoints
stopLossPrice = useFixedSL ? entryPrice * (1 - slPercentage / 100) : entryPrice - slPoints
// —————— Plot Signals and Levels ——————
if buyCondition and not inTrade
entryPrice := close
inTrade := true
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
line.new(bar_index, entryPrice, bar_index + 1, entryPrice, color=color.green, width=2)
line.new(bar_index, takeProfitPrice, bar_index + 1, takeProfitPrice, color=color.teal, width=2, style=line.style_dashed)
line.new(bar_index, stopLossPrice, bar_index + 1, stopLossPrice, color=color.red, width=2, style=line.style_dashed)
if sellCondition and inTrade
entryPrice := close
inTrade := false
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
line.new(bar_index, entryPrice, bar_index + 1, entryPrice, color=color.red, width=2)
line.new(bar_index, takeProfitPrice, bar_index + 1, takeProfitPrice, color=color.teal, width=2, style=line.style_dashed)
line.new(bar_index, stopLossPrice, bar_index + 1, stopLossPrice, color=color.red, width=2, style=line.style_dashed)
// —————— Alerts ——————
alertcondition(buyCondition, title="Buy Signal Alert", message="BUY Signal Triggered")
alertcondition(sellCondition, title="Sell Signal Alert", message="SELL Signal Triggered")
// —————— Plot EMAs and RSI ——————
plot(emaFast, "Fast EMA", color.new(color.blue, 0))
plot(emaSlow, "Slow EMA", color.new(color.orange, 0))
WSGTA IndicatorsThis set of indicators includes all of the items used in the WSGTA trading system. It will have the vwap added eventually, but currently holds the following EMA's -- 9, 15, 30, 65, 200; as well as the previous day/week HLC along with pivots.
Customizable EMA & RSI Indicator TGThis is a customisable EMA indicator. Where 5 Ema values can be set by the user along with their own colors.
Also included is an RSI indicator where RSI levels are depicted in different colors depending on the RSI level. Eaxample RSI is depicted in green if it is breaking out above 60. and is depicted as red if it is falling below 60.
EMA Ribbon with Dynamic Colors**EMA Ribbon with Dynamic Colors**
The "EMA Ribbon with Dynamic Colors" indicator is a technical analysis tool designed to visualize the market trend using multiple Exponential Moving Averages (EMAs) with dynamic color coding. It plots a series of EMAs with different periods, ranging from the fast-moving 5-period EMA to the slower 89-period EMA, and uses color changes to indicate trend shifts.
### Key Features:
- **Dynamic Color Coding**:
- **Green Ribbon**: Indicates a bullish trend, where the shorter-period EMAs are above the longer-period EMAs, signaling upward momentum.
- **Red Ribbon**: Indicates a bearish trend, where the shorter-period EMAs are below the longer-period EMAs, signaling downward pressure.
- **200 EMA (Yellow)**: The 200-period EMA is plotted in **yellow**, representing the long-term trend and acting as a key support/resistance level.
- **Buy and Sell Signals**:
- A **Buy Signal** is generated when the price crosses above the 89-period EMA, confirming a bullish trend reversal.
- A **Sell Signal** is generated when the price crosses below the 89-period EMA, confirming a bearish trend reversal.
- **Alerts**: Set up notifications when the buy or sell signals are triggered for timely market entries or exits.
This indicator is useful for traders who want to identify trend reversals and dynamic market conditions through the clear visualization of EMAs and their interactions, helping with decision-making in both short-term and long-term trading strategies.
RGBB EMA StrategyBasic EMA crossover for length 22,55,100 and 200.
Long when all 4 ema in upward trend
Short when all 4 ema in downward trend
Only for educational purpose.
Gold Trading StrategyStrategy Logic:*
1. *Trend Filter:* Uses 50/200 EMA crossovers (common for gold trend identification)
2. *Momentum Confirmation:* MACD crossover system with RSI filter
3. *Volatility Breakout:* Entry on 20-period high/low breaks
4. *Risk Management:* 2% stop-loss and 3% take-profit levels
*Key Features:*
- Visual EMA trend lines
- Dynamic support/resistance levels
- Clear buy/sell signals with alerts
- Integrated risk management
- Works best on 1H-4H timeframes for gold
*Usage Tips:*
1. Apply to XAU/USD charts
2. Best used on 1-hour or 4-hour timeframes
3. Combine with fundamental analysis (USD news, geopolitical events)
4. Adjust stop-loss/take-profit based on volatility (use ATR as reference)
*Optimization Suggestions:*
- Test different EMA combinations (e.g., 100/200)
- Adjust RSI thresholds based on gold's current volatility
- Modify lookback period for support/resistance levels
- Experiment with different timeframes (works best 1H-4H)
Remember to:
- Always forward-test with small positions first
- Adjust parameters during different market regimes
- Combine with gold-specific news analysis
- Monitor USD strength and real yields correlation
Easy Profit SR Buy Sell By DSW The "Fast 9 MA" refers to a 9-period simple moving average (SMA) that tracks the average price of an asset over the last 9 bars, providing a shorter-term view of price trends. The "Slow 21 MA" is a 21-period SMA, which smooths out price fluctuations over a longer period, giving a broader perspective on the market trend. The 9-period fast moving average reacts more quickly to price changes, while the 21-period slow moving average lags behind, making it useful for identifying more stable trends. The combination of these two moving averages helps traders identify potential buy or sell signals through crossovers, with the fast MA crossing above the slow MA signaling a buy and vice versa for a sell. The 14 RSI (Relative Strength Index) is a momentum oscillator that measures the speed and change of price movements, indicating overbought or oversold conditions when it reaches levels above 70 or below 30, respectively. Together, these indicators provide a comprehensive view of both trend direction and market momentum, assisting traders in making informed decisions.
erfan1rahmati...EMA/ADX1for backtest. this indicator is design for price prediction and anaysis and when the trend is red, two lines are drawn in color and when is is green ....other data can be changed and customized
EMAx2 Trend Cloud Fill IndicatorInspired by @Skyrexio - adds a fill gradient between the fast slow EMA lines. Optionally, the fill gradient can be hidden or disabled without adjusting opacity settings!
EMA & SMA by TTC1. EMA 9, 15, 21:
Short-term trends: These EMAs are typically used for analyzing short-term price movements and finding quick trend reversals.
Use cases:
EMA 9: Reacts quickly to price changes and is often used as a trigger line for entry or exit.
EMA 15 and EMA 21: Offer slightly less sensitivity, reducing false signals compared to EMA 9.
2. 200 EMA and 200 SMA:
Long-term trend indicators: These averages are widely used to identify overall market direction.
Differences:
200 EMA: Puts more weight on recent prices, making it more responsive to recent market movements.
200 SMA: Gives equal weight to all prices in the 200-period, showing a smoother long-term trend.
Use cases:
Price above 200 EMA/SMA: Bullish trend.
Price below 200 EMA/SMA: Bearish trend.
Both averages act as key support/resistance levels.
Strategies Combining These Averages:
Trend Confirmation:
If EMAs (9, 15, 21) are aligned above the 200 EMA/SMA, it confirms a strong bullish trend.
If aligned below the 200 EMA/SMA, it confirms a strong bearish trend.
Crossover Signals:
When EMA 9 crosses above EMA 21: Potential buy signal.
When EMA 9 crosses below EMA 21: Potential sell signal.
Price crossing the 200 EMA/SMA can signal long-term trend shifts.
Dynamic Support/Resistance:
Use the EMAs (especially 9 and 21) as dynamic support/resistance for trailing stop-losses in trending markets.
The 200 EMA/SMA serves as a critical level where price often reacts significantly.
EMA + RSI + SR Key Features:
Inputs:
EMA Length (default: 50), RSI Length (14), HMA Length (20).
Overbought (70) and Oversold (30) RSI levels.
Support/Resistance Lookback (50).
Calculations:
EMA: Trend baseline.
HMA: Smoother trend detection.
RSI: Overbought/oversold conditions.
Support/Resistance Levels: Recent highs/lows over the lookback period.
Signals:
Buy: Uptrend + RSI oversold + near support.
Sell: Downtrend + RSI overbought + near resistance.
Visuals:
Plots EMA, HMA, RSI levels, support/resistance lines.
Buy/sell signals as labels on the chart.
Alerts:
Notifications for buy/sell signals.
Systematic Savings Plan - Store of Value DCA v1.1.1 Systematic Savings Plan - Store of Value DCA v1.1
Hey there! 👋 I've created this tool to help with systematic saving during downtrends. While it can be used with any asset, it's primarily designed for Store of Value assets (like BTC, Gold, etc.).
Why Store of Value Focus?
- These assets tend to preserve wealth long-term
- Often perform well after significant downtrends
- Make sense for systematic, patient accumulation
- Great for long-term savings plans
What This Tool Does:
- Spots potential saving opportunities in downtrends
- NO selling signals - purely for accumulation
- Helps maintain saving discipline when markets look scary
- Tracks your saving progress
- Works with any Store of Value asset you choose
How It Works:
1. Trend Check (24/200 EMA):
- Watches for downtrend patterns
- Nothing fancy, just classic EMA crossover
2. Market Stress Check (MFI):
- Default: 14 periods, level 20
- Helps spot high selling pressure
- Daily chart: These defaults work fine
- Weekly chart: You might want to adjust MFI to 20-30 range
Buy Frequency Control:
- Default minimum gap: 7 periods between saves
- Helps manage your saving schedule
- Perfect for monthly salary saving
- Prevents too frequent entries when you have limited funds
- Adjustable to match your cash flow:
• Weekly paycheck? Try 7 days
• Monthly salary? Try 28-30 days
• Custom schedule? Set your own interval!
When It Suggests Saving:
- Must be in downtrend
- MFI shows high selling pressure
- Minimum gap reached since last save
Savings Dashboard Shows:
- How much you've saved total
- Number of times you've saved
- Total assets accumulated
- Your average saving price
- Progress tracking
Customize It:
- Saving amount per entry
- Time between saves
- Technical settings
- Pick your date range
- Choose your asset
Important Honest Notes:
- Just an experiment, not financial advice
- Won't catch bottoms - that's not the point
- Focused on steady, patient accumulation
- You might get multiple signals in big downtrends
- Please adjust settings to match your savings plan
- Feel free to modify the code - make it yours!
- Past patterns don't predict the future
สวัสดีครับ! 👋 ผมสร้างเครื่องมือนี้เพื่อช่วยในการออมอย่างเป็นระบบในช่วงตลาดขาลง แม้จะใช้ได้กับสินทรัพย์ทั่วไป แต่ออกแบบมาเพื่อสินทรัพย์ประเภทเก็บมูลค่า (Store of Value) เป็นหลัก (เช่น BTC, ทองคำ เป็นต้น)
ทำไมถึงเน้นสินทรัพย์เก็บมูลค่า:
- มักรักษามูลค่าได้ในระยะยาว
- มักฟื้นตัวได้ดีหลังผ่านช่วงขาลงหนักๆ
- เหมาะกับการสะสมอย่างเป็นระบบและใจเย็น
- เหมาะสำหรับแผนการออมระยะยาว
เครื่องมือนี้ทำอะไร:
- หาจุดที่น่าสะสมในช่วงขาลง
- ไม่มีจุดขาย - เน้นการสะสมอย่างเดียว
- ช่วยรักษาวินัยการออมเมื่อตลาดน่ากลัว
- ติดตามความคืบหน้าการออม
- ใช้ได้กับสินทรัพย์เก็บมูลค่าที่คุณเลือก
ทำงานยังไง:
1. เช็คเทรนด์ (EMA 24/200):
- ดูรูปแบบขาลง
- ใช้แค่การตัด EMA แบบพื้นฐาน
2. เช็คแรงขาย (MFI):
- ค่าเริ่มต้น: 14 คาบ, ระดับ 20
- ช่วยหาจุดที่มีแรงขายสูง
- กราฟรายวัน: ใช้ค่าเริ่มต้นได้เลย
- กราฟรายสัปดาห์: ลองปรับ MFI เป็น 20-30
การควบคุมความถี่ในการออม:
- ค่าเริ่มต้นขั้นต่ำ: เว้น 7 คาบระหว่างการออมแต่ละครั้ง
- ช่วยจัดการตารางการออมของคุณ
- เหมาะสำหรับการออมตามรอบเงินเดือน
- ป้องกันการออมถี่เกินไปเมื่อมีเงินจำกัด
- ปรับแต่งได้ตามกระแสเงินสด:
• รับเงินรายสัปดาห์? ลองตั้ง 7 วัน
• เงินเดือน? ลองตั้ง 28-30 วัน
• มีแผนเฉพาะตัว? ตั้งค่าเองได้เลย!
จะแนะนำให้ออมเมื่อ:
- อยู่ในช่วงขาลง
- MFI แสดงแรงขายสูง
- ถึงรอบเวลาออมตามที่ตั้งไว้
แดชบอร์ดแสดง:
- ออมไปเท่าไหร่แล้ว
- ออมกี่ครั้งแล้ว
- สะสมสินทรัพย์ได้เท่าไหร่
- ราคาเฉลี่ยที่ออม
- ติดตามความคืบหน้า
ปรับแต่งได้:
- จำนวนเงินออมต่อครั้ง
- ระยะห่างระหว่างออม
- ค่าทางเทคนิค
- เลือกช่วงวันที่ต้องการ
- เลือกสินทรัพย์ที่ต้องการออม
หมายเหตุสำคัญ (พูดกันตรงๆ):
- เป็นแค่การทดลอง ไม่ใช่คำแนะนำการลงทุน
- ไม่ได้จับจุดต่ำสุด - ไม่ใช่จุดประสงค์หลัก
- เน้นการสะสมอย่างสม่ำเสมอและใจเย็น
- อาจมีสัญญาณหลายครั้งในช่วงขาลงยาว
- ปรับค่าต่างๆ ให้เข้ากับแผนการออมของคุณ
- แก้ไขโค้ดได้ตามใจชอบ - ทำให้เป็นของคุณ!
- รูปแบบในอดีตไม่ได้การันตีอนาคต
isikh1998sma 50 ema 200 vwap previous day high low close.................
add auto trendlines with it if you like
EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
Multi-Timeframe EMA/MA SignalBuy when prices more above 9EMA, 20 EMA AND 50 MA IN, FIVE MINUTE, 15 MINUTES AND ONE MINUTE CHAT
Scalping trading system based on 4 ema linesScalping Trading System Based on 4 EMA Lines
Overview:
This is a scalping trading strategy built on signals from 4 EMA moving averages: EMA(8), EMA(12), EMA(24) and EMA(72).
Conditions:
- Time frame: H1 (1 hour).
- Trading assets: Applicable to major currency pairs with high volatility
- Risk management: Use a maximum of 1-2% of capital for each transaction. The order holding time can be from a few hours to a few days, depending on the price fluctuation amplitude.
Trading rules:
Determine the main trend:
Uptrend: EMA(8), EMA(12) and EMA(24) are above EMA(72).
Downtrend: EMA(8), EMA(12) and EMA(24) are below EMA(72).
Trade in the direction of the main trend** (buy in an uptrend and sell in a downtrend).
Entry conditions:
- Only trade in a clearly trending market.
Uptrend:
- Wait for the price to correct to the EMA(24).
- Enter a buy order when the price closes above the EMA(24).
- Place a stop loss below the bottom of the EMA(24) candle that has just been swept.
Downtrend:
- Wait for the price to correct to the EMA(24).
- Enter a sell order when the price closes below the EMA(24).
- Place a stop loss above the top of the EMA(24) candle that has just been swept.
Take profit and order management:
- Take profit when the price moves 20 to 40 pips in the direction of the trade.
Use Trailing Stop to optimize profits instead of setting a fixed Take Profit.
Note:
- Do not trade within 30 minutes before and after the announcement of important economic news, as the price may fluctuate abnormally.
Additional filters:
To increase the success rate and reduce noise, this strategy uses additional conditions:
1. The price is calculated only when the candle closes (no repaint).
2. When sweeping through EMA(24), the price needs to close above EMA(24).
3. The closing price must be higher than 50% of the candle's length.
4. **The bottom of the candle sweeping through EMA(24) must be lower than the bottom of the previous candle (liquidity sweep).
---
Alert function:
When the EMA(24) sweep conditions are met, the system will trigger an alert if you have set it up.
- Entry point: The closing price of the candle sweeping through EMA(24).
- Stop Loss:
- Buy Order: Place at the bottom of the sweep candle.
- Sell Order: Place at the top of the sweep candle.
---
Note:
This strategy is designed to help traders identify profitable trading opportunities based on trends. However, no strategy is 100% guaranteed to be successful. Please test it thoroughly on a demo account before using it.
Hybrid Trend Momentum Strategy by Biege ver. 1.0Strategy Profile
Type: Fixed-Parameter Trend Momentum System
Optimized For: 2-Hour Timeframe (Best Performance)
Core Logic:
Uses fixed 21/55/200 EMAs for trend identification
Combines RSI(14) momentum filter with SuperTrend(3,14) stop
Requires 1.5x volume surge + ATR volatility confirmation
===========================================================================
Hourly Profitability Drivers
EMA Precision
21-period EMA (~1 trading day) captures intraday swings
55-period EMA (~2.5 days) filters false hourly breakouts
RSI Stability
14-period RSI aligns with 14-hour cycles in crypto markets
Avoids overreaction to 15-minute noise
SuperTrend Efficiency
3x ATR(14) provides optimal trailing stop for hourly candles
Outperforms static stops in volatile crypto sessions
===========================================================================
Key Strengths
No Parameter Tweaking Needed: Pre-optimized for hourly candles
Trend Persistence Capture: Holds through minor pullbacks
Automatic Risk Control: Built-in cooldown (6h) prevents overtrading
===========================================================================
Critical Limitations
Overnight Gap Risk: Crypto markets move 24/7
News Event Vulnerability: Hourly candles may trap during FOMO spikes
Fixed Exit Rigidity: No manual stop-loss adjustments allowed
===========================================================================
Safety Protocol Notes
Ideal Conditions
Strong trending markets (≥3% daily moves)
High-volume crypto pairs (BTC/ETH majors preferred)
Avoid When
Consolidation phases (EMA crossovers lag)
Low-volume periods (weekends/holidays)
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Profitability Summary
This strategy capitalizes on:
Hourly chart momentum persistence
Crypto's tendency for multi-hour trends
Fixed parameters optimized through volatility cycles
Critical Reminder: Changing any values voids the hourly optimization advantage. Performance degrades significantly on lower (15m/5m) or higher (4h/daily) timeframes due to parameter mismatch
ROBOT RSI V6 inputRobot (test pas complet) qui prends position en se basant sur un croisement des MM et sur les achats et surventes du RSI
EMA Crossover PredictionThis indicator predicts potential EMA crossovers by analyzing the rate of change between short and long EMAs. It calculates future EMA values based on current trends and displays predicted crossover points with their estimated timeframe and price level. The script uses customizable periods for both EMAs and forecast length, making it adaptable for different trading timeframes. Green labels indicate predicted bullish crossovers (short EMA crossing above long EMA), while red labels show bearish crossover predictions (short EMA crossing below long EMA).
EMA Ribbon
**EMA Ribbon Indicator**
The EMA Ribbon is an essential tool for traders looking to analyze trends and dynamic support/resistance levels. This indicator plots multiple Exponential Moving Averages (EMAs) with periods optimized for both short-term and long-term market analysis.
### **Features:**
- **EMA Periods**: Includes EMAs with periods 5, 8, 20, 50, 100, and 200, commonly used in technical analysis.
- **Gradient Coloring**: Each EMA is color-coded with varying opacity to create a visually intuitive ribbon that highlights market trends.
- **Trend Identification**: Easily spot bullish or bearish trends based on the alignment and slope of the EMAs.
- **Dynamic Support/Resistance**: The ribbon acts as a flexible zone for identifying price reactions and potential reversal or continuation areas.
### **How to Use:**
1. **Bullish Trend**: When the price remains above the ribbon and the EMAs are aligned sequentially (shorter periods above longer ones), it indicates upward momentum.
2. **Bearish Trend**: When the price is below the ribbon and the EMAs are aligned inversely (longer periods above shorter ones), it signals downward momentum.
3. **Consolidation**: A flat or tangled ribbon often suggests sideways price action, signaling potential breakout or breakdown areas.
4. **200 EMA Highlight**: The 200 EMA is prominently displayed to indicate long-term trend behavior and critical levels for institutional traders.
This indicator is versatile and suitable for analyzing trends in stocks, forex, crypto, and other markets. Use it across various timeframes to complement your trading strategy and gain a clearer picture of market dynamics.
Buy/Sell Signals by CryptoKuzBuy / Sell Signals by EMAs
Shows where exactly to buy and exactly to sell. If you use it correctly is very usufull.
By CryotoKuz
