Aggregate RSIAggregate RSI of the top 40 coins listed on CoinMarketCap.com on 25th of February, 2019, on USD or USDT pairs.
Because of requesting info about the prices of 40 coins using security(), this script is SLOW.
Pesquisar nos scripts por "信达股份40周年"
ADX +- DiThis Adx +-Di is just a complete version of what the ADX is supposed to signal.
So you have:
15 (contraction), 20 (threshold), 30 (expansion), 40 (resistance) levels.
Below 20 the price is not trending
Above 30 the price is trending
Below 15 price has been in contraction for too long
Between 20 and 30 price is in a "transition zone".
I finally added a "Resistance" level (40), which has to be adapted to best represent the historical levels where price usually encounters resistance, and where the price can be declared "overtrending", which means a return to lower levels is likely to happen.
I've chosen mild colors, and set the Adx Color to White, because I use black background, you can easily change that.
Enjoy
-Maurice
RSI|The Wave PrincipleThe Wave Principle | Modified RSI
30 green | 70 red = Strong Movement (Possible Impulse)
20 cyan | 80 Yellow = Strongest Movement
Support and Resistance Level (Trend Continuation)
Uptrend= 40
Downtrend = 60
Break+Retest = BR
Div = Divergence (Change in trend)
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This indicator has been modified from original RSI to fit Wave Principle characteristics:
Uptrend Impulsive Wave over 70 RSI it changes color to red, and > 80 yellow stronger impulse | Usually means continuation, at least once more.
Downtrend Impulsive Wave under 30 RSI it changes color to green, and < 20 cyan stronger impulse | Usually means continuation, at least once more.
Once RSI reached these levels, it doesn't mean trend reversal but a correction is expected. If it shows divergence along with an Ending Diagonal, it's a confirmation for trend reversal.
In a corrective wave, levels 40-60 represents support and resistance levels where price won't go further. Indicating Corrective Waves, not as strong as Impulsives.
Prices can breakout RSI trend lines and retest from the other side before continue the new trend as also described in the Wave Principle.
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breakout and swingA Price Action system that use swing point and breakout
above the black line (breakout) is long, below short
swing/support/resistance points (blue circles) are displayed after a top or botton, breaking it means an inversion
red circles try to guest a target after a top/bottom or after a swing break.
the main trend is made by the black line that is set on Day period suitable for 1h to 15m time frame , for small TF you can set a smaller period from setting command
By default a set a 40 period channel high/low (the highest and lowest 40 bar back) that is ok for 1 h or smaller tf , but look to long for daily tf, adjust it yourself
Net XMR Margin PositionTotal XMR Longs minus XMR Shorts in order to give you the total outstanding XMR margin debt.
ie: If 50,000 XMR has been longed, and 40,000 XMR has been shorted, then 50,000 has been bought, and 40,000 sold, leaving us with 10,000 XMR (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
Net BTC Margin PositionTotal BTCUSDLONGS minus the BTCUSDSHORTS in order to give you the total outstanding BTC margin debt.
ie: If there are 50,000 BTC longs, and 40,000 BTC shorts, then 50,000 has been bought, and 40,000 sold, leaving us with 10,000 BTC net remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Accumulation/Distribution Percentage (ADP) [Cyrus c|:D]Accumulation/Distribution Percentage ( ADP ) is used to measure money flow similar to Chaikin Money Flow ( CMF ) and Money Flow. It is the range-bound version of my previous indicator ADMF. This indicator can be used for analyzing momentum, buy/sell pressure, and overbought/oversold conditions. I believe that this indicator is more accurate than CMF and MFI (I will publish a TA about it one day!).
What to look for:
- When this indicator moves up, it means buy pressure is increasing and the other way around for sell pressure. Crossing 0 means that trend has changed in the given period (it is best to look for confirmation of buy/sell pressure in larger TFs)
- Overbought above 40 and oversold below -40 (these numbers vary depending on the security. Look for historical levels to determine overbought and oversold conditions of each security)
- Regular divergence shows that momentum of a trend is declining. Hidden divergence implies continuation of a trend. The non-bound mode should be more accurate for identifying divergence.
- Failure swings can detect potential reversals.
Please read Relative Strength Index and Money Flow for more information and similar disclaimers.
Recommendations:
- hlc3 (AKA typical price) as input source might be better than "close" as it captures more information. If you use hlc3 as a source, then change the chart type to line and set hlc3 as the source for identifying divergence.
- Use hybrid tickers e.g.(BITFINEX:BTCUSD+COINBASE:BTCUSD+BITSTAMP:BTCUSD)/3. Volume-based indicators are susceptible to wash trading/volume printing and hybrid tickers mitigate this issue.
- In non-bound mode, small TFs with longer length should be more accurate than larger TFs with standard length (same is true for many other indicators)
Background:
I have developed 4 indicators based on a simple but elegant concept of A/D ratio. A/D ratio is equal to (current close - previous close)/True Range (when there are no price gaps, True Range = High - Low)
1) What you see on ADV indicator as darker green and red is equal to A/D ratio x volume.
2) ADL indicator shows the summation of ADV
3) ADMF (or ADP in non-bound mode) shows Moving Average of ADV
4) ADP shows relative accumulation strength which is calculated as RMA (accumulations)/RMA(accumulation + distribution). ADP equation is based on RSI equation which is RMA(gains)/RMA(gains + losses). That is why these two indicators look quite similar.
PS: Please leave a like if you find these indicators useful. I am working on improvements on these and other indicators. I am trying my best to keep them as simple as possible. Please let me know in the comments if you want me to make future indicators even simpler.
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Complementary indicators based on the same concept:
ADL: a replacement for Chaikin's Accum/Dist, On Balance Volume, and Price Volume Trend
ADV: a replacement for regular volume indicator
ADP also has a scaled RSI and ADMF built in (ie ADMF is obsolete).
Better RSI with bullish / bearish market cycle indicator This script improves the default RSI. First. it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. Second, it adds additional reference lines at 20,40,50,60, and 80 to better gauge the RSI value. Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at. A green color at the 50 line indicates a bullish cycle, a red color indicators a bearish cycle, and a white color indicates a neutral cycle.
The cycles are determined using the RSI as follows:
if RSI is overbought, cycle switches to bullish until RSI falls below 40, at which point it becomes neutral
if RSI is oversold, cycle switches bearish until RSI rises above 60, at which point it becomes neutral
a neutral cycle is exited at either overbought or oversold conditions
Very useful, please give it a try and let me know what you think
Volume Range EventsChanges in the feelings (positive, negative, neutral) in the market concerning the valuation of an instrument are often preceded with sudden outbursts of buying and selling frenzies. The aim of this indicator is to report such outbursts. We can see them as expansions of volume, sometimes 10 times more than usual. and as extensions of the trading range, also sometimes 10 times more than usual (e.g. usual range is 10 cent suddenly a whole dollar.) The changes are calculated in such a way that these fit between plus and minus 100 percent, the bars are scaled in some sort of logarithmic way. The Emoline is the same as the one in the True Balance of Power indicator, which I already published
ONLY RISES ARE EVENTS
Sometimes analysts are tempted to give meaning to low volume or small ranges. These simply mean that the market has little interest in trading this instrument. I believe that in such cases the trader needs to wait for expansion and extension events to happen, then he can make a better guess of where the market is heading. As events often mark the beginning or ending of a trend, this indicator provides an early and clear signal, because it doesn’t bother us about non-events.
WHAT IS USUAL?
If the algorithm would use an average as a normal to scale volume or range events, then previous peaks will act as spoilers by making the average so high that a following peak is scaled too small. I developed a function, usual() , that kicks out all extremes of a ‘population of values’ and which returns the average of the non-extreme values. It can be called with any serial. This function is called by both algorithms that report volume and range peaks, which guarantees that the results are really comparable. As this function has a fixed look back of 8 periods, we might state that ‘usual’ is a short lived relative value. I think this doesn’t matter for the practical use of the indicator.
COLORING AND INTERPRETATION
I follow the categories in the ‘Better Volume Indicator’, published by LeazyBear, these are:
1. Climactic Volumes, event >40 % (this means peak is 1.5 X usual)
LIME: Climax Buying Volume, direction up, range event also > 30 %
RED: Climax Selling Volume, direction down, range event also > 30 %
AQUA: Climax Churning Volume, both directions, range event < 30%
2. Smaller Volumes, event <40 %
GREEN: Supportive Volume, both directions, if combined with range event
BLUE: Churning Volume, both directions, if not combined with range event (Professional Trading)
3. Just Range Events
BLACK histogram bars (Amateurish Trading)
RSI in Bull and Bear Market V2.0RSI oversold at 60/40 in bullish market
And Overbought at 40/60 in Bearish market
for more info of this Strategy
3-EMA Ribbon Scalping System 3-EMA Ribbon Scalping System V2 - Trading Guide
Overview
This indicator combines a triple EMA ribbon with VWAP, RSI, and volume analysis to catch high-probability scalping setups for short pip hunting on highly liquid Forex pairs such as EUR/USD
The Core Strategy
The system waits for three conditions to align before firing a signal:
1. EMA Stack** - The 8/13/21 EMAs must be properly stacked (bullish: 8>13>21, bearish: 8<13<21)
2. VWAP Position** - Price needs to be on the right side of VWAP for the trade direction
3. Pullback Entry** - Price pulls back to test the fast EMA while maintaining the trend structure
When these line up with proper RSI readings and a volume spike, you get your entry signal.
Reading the Signals
LONG Entries
Triggered when:
- EMAs are bullishly stacked (green background)
- Price is above VWAP
- We get a pullback to the 8 EMA that holds
- RSI is between 40-70 (momentum present but not overbought)
- Volume exceeds the 20-period average by 1.2x
SHORT Entries
Mirror opposite conditions:
- Bearish EMA stack (red background)
- Price below VWAP
- Rejection at the 8 EMA
- RSI between 30-60
- Volume confirmation present
Risk Management Built In (freely adjustable to match your own approach when it comes to taking risk)
Each signal automatically calculates:
- Stop Loss: 1x ATR from entry
- Target 1: 1:1 risk/reward ratio
- *arget 2: 2:1 risk/reward ratio
You can display these as lines or labels, or turn them off entirely if you prefer your own levels.
Quick Setup Tips
Start with the default settings - they work well on most timeframes from 1-minute to 1-hour charts. The sweet spot for scalping is typically the 3-minute or 5-minute timeframe.
The info panel in the top right gives you a quick market snapshot without cluttering your chart:
- Trend direction
- VWAP position
- RSI value
- Volume status
- Current signal state
If you're getting too many signals, increase the "Min Bars Between Signals" to filter out choppy action. For cleaner charts during analysis, you can toggle off individual components like the ribbon, backgrounds, or signals.
Tips for Live Trading
1. Don't chase - Wait for price to come to the 8 EMA, not the other way around
2. Volume matters - That volume spike filter catches the moves with real momentum behind them
3. Respect the trend - The EMA stack keeps you trading with the flow, not against it
4. Use multiple timeframes - Check a higher timeframe for overall bias before taking signals
The indicator includes alerts that fire with exact entry, stop, and target levels - perfect for quick execution or logging trades.
Remember, this is a scalping system designed for active trading. It works best in trending markets with good volatility. During ranging or low-volume periods, consider sitting on your hands or reducing position size. Trade at your own risk, I created this solely for educational purposes!
Customization Options
Display Settings
- Show/hide EMA ribbon
- Toggle entry signals
- Background colors with adjustable opacity
- Info panel size options
- VWAP visibility
Technical Parameters
- EMA Settings: Adjustable lengths for fast (8), medium (13), and slow (21) EMAs
- RSI Settings: Customizable overbought/oversold levels and momentum thresholds
- Volume Settings: Multiplier for volume confirmation and MA length
- Risk Management: ATR multiplier for stops, customizable R:R ratios
Nearly everything is adjustable, but the defaults are solid. Focus on reading the market structure first before tweaking settings.
Visual Features
Background Colors
- Green: Bullish trend (EMAs stacked bullishly)
- Red: Bearish trend (EMAs stacked bearishly)
- Gray: Neutral/choppy conditions
Signal Styles
Choose between:
- Text labels
- Arrow markers
- Both combined
Stop Loss & Take Profit Display
Three modes available:
- None: No SL/TP visualization
- Current: Shows lines for active trade
- Labels: Displays small labels at price levels
Best Markets & Timeframes
Optimal Markets:
- Forex pairs (especially majors)
- Stock indices
- Liquid cryptocurrencies
- High-volume stocks
Alert System
Comprehensive alerts include:
- Entry signal notification
- Exact entry price
- Stop loss level with pip distance
- Take profit levels with pip distances
- Trade direction and symbol
Important Notes
- This is a "momentum-based scalping system" - not suitable for ranging markets
- Best results come from pairing with your understanding of key levels and market context
- The volume filter helps avoid false signals during low-liquidity periods
- Consider overall market conditions and news events before trading
Version Info
3-EMA Ribbon Scalping System
- Refined entry logic
- Improved visual clarity
- Enhanced risk management tools
- Optimized performance tracking
Mancini Levels (with alerts, majors only option)This indicator displays Support and Resistance levels on ES or MES (E-mini and Micro E-mini S&P 500 Index Futures) charts by parsing text copied and pasted by the user.
(The levels displayed on the chart above are not valid, they are for illustration only)
Features
Option to display only the major levels
The chart on the left displays both major and minor levels, distinguished by color and line style. The chart on the right shows only the major levels; minor levels are disabled:
Alert function for when the price approaches a major level or zone (within a customizable distance).
The script provides a trigger for alerts. When creating an alert, you can then choose your desired frequency (Only once/Once per bar/Once per bar close/Once per minute) from the TradingView alert pop-up.
The alert message contains the current price and the approached major level price.
Customizable Lookback Period
Set how many days into the past the lines should appear (Subject to a maximum of 5000 bars).
To display lines for the current day only, set this value to 1.
Functions only on ES or MES (E-mini and Micro E-mini S&P 500 Index Futures) charts, as the text format is intended for these instruments.
How to Use
Copy and paste the support and resistance levels into the indicator's "Supports" and "Resistances" input fields.
Format Example:
For the "Supports" input: 6772-6770 (major), 6764 (major), 6757, 6751-54
For the "Resistances" input: 6799 (major), 6814, 6828-30, 6839-40 (major)
The indicator supports the display of zone levels in multiple formats
(e.g., 6235-45 and 6235-6245 and 6245-6235 are all valid).
For hundred- or thousand-point rollovers, please use only the full number format: 5995-6005.
The indicator includes an error-checking system to help you troubleshoot common setup issues.
An on-chart error label will be displayed on the chart if:
The chart instrument is not ES or MES.
The "Supports" and "Resistances" fields are both empty.
A data formatting error is detected (e.g., non-numeric characters, incomplete zones, etc.).
How It Works
For optimal resource efficiency and performance, the script executes all computationally intensive tasks only once, on the very first bar when the chart loads (if barstate.isfirst).
One-time Parsing: The parsing, splitting, and conversion of the text (string) formatted levels, which are provided in the settings, occurs only once.
Persistent Objects: The lines (line.new), fills (linefill.new), and price labels (label.new) that mark the levels are all persistent graphical objects. The script creates these on the first bar and stores their references in arrays declared with the var keyword.
No Redrawing: On subsequent bars, the indicator does not delete and redraw these objects. It merely updates the x-axis position of the existing lines and labels (line.set_x1, line.set_x2, label.set_x) on the last bar (if barstate.islast), ensuring they always remain on the right edge of the chart, following the formation of new bars.
By default, TradingView charts have a limit of 50 lines and 50 labels. Given that the number of levels often exceeds this, the script's drawing logic is as follows:
The number of displayable lines and labels has been increased (to 500) in the indicator's declaration line.
The script applies a prioritized order when drawing levels and labels. Major levels have priority over minor levels during drawing.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice.
Trading involves substantial risk of loss and is not suitable for every investor. Past performance shown in examples is not indicative of future results.
The indicator provides signals and calculations, but trading decisions are solely your responsibility. Always:
Test strategies on paper before using real money
Never risk more than you can afford to lose
Understand that all trading involves risk
Consider seeking advice from a licensed financial advisor
The publisher makes no guarantees regarding accuracy, profitability, or performance. Use at your own risk.
3-DMA Panic Reversal [Diodato/SMI]This indicator is a market breadth tool designed to identify panic selling climaxes and potential bullish reversals. It combines Diodato's 3-DMA % Decliners with the Stochastic Momentum Index (SMI) to filter for high-probability setups.
How It Works The indicator tracks the 3-Day Moving Average of Declining Issues. When this metric spikes above 65%, it signals extreme market panic.
Signals
🟢 Green Dot (Bullish Reversal): Appears when a panic phase ends. It triggers when the 3-DMA Decliners crosses back under the 65% panic threshold, but only if the market was Oversold (SMI < 0) at some point during the panic. This "latch" logic ensures you catch the reversal even if momentum shifts slightly before the panic fully subsides.
🔴 Red Dot (Bearish/Overbought): Appears if the 3-DMA Decliners is high (> 65%) while the market is simultaneously Overbought (SMI > 40). This is a rare but powerful signal of extreme volatility or a "crash up" exhaustion.
Settings
Panic Threshold: Default 65% (Adjustable).
SMI Settings: 10, 3, 3 (Fast/Standard).
Credits Original concept by Diodato. Enhanced with SMI context for precision.
ICT Macro Slot Algo Event📊 Overview
A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions.
🎯 Key Features
1. Macro Algo Event Sessions
Tracks 6 key institutional time windows during NY Session:
NY Sweep (08:50-09:10) - Opening balance flows
Silver Bullet #1 (09:50-10:10) - First major macro move
Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity
Lunch Macro (11:50-12:10) - Mid-day repositioning
Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments
NY Closing Macros (15:15-15:45) - End-of-day flows
ICT Macro Slot Algo Event📊 Overview
A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking to identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions.
🎯 Key Features
1. Macro Algo Event Sessions
Tracks 6 key institutional time windows during NY Session:
NY Sweep (08:50-09:10) - Opening balance flows
Silver Bullet #1 (09:50-10:10) - First major macro move
Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity
Lunch Macro (11:50-12:10) - Mid-day repositioning
Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments
NY Closing Macros (15:15-15:45) - End-of-day flows
Hash Momentum Strategy# Hash Momentum Strategy
## 📊 Overview
The **Hash Momentum Strategy** is a professional-grade momentum trading system designed to capture strong directional price movements with precision timing and intelligent risk management. Unlike traditional EMA crossover strategies, this system uses momentum acceleration as its primary signal, resulting in earlier entries and better risk-to-reward ratios.
---
## ⚡ What Makes This Strategy Unique
### 1. Momentum-Based Entry System
Most strategies rely on lagging indicators like moving average crossovers. This strategy captures momentum *acceleration* - entering when price movement is gaining strength, not after the move has already happened.
### 2. Programmable Risk-to-Reward
Set your exact R:R ratio (1:2, 1:2.5, 1:3, etc.) and the strategy automatically calculates stop loss and take profit levels. No more guessing or manual calculations.
### 3. Smart Partial Profit Taking
Lock in profits at multiple stages:
- **First TP**: Take 50% off at 2R
- **Second TP**: Take 40% off at 2.5R
- **Final TP**: Let 10% ride to maximum target
This approach locks in gains while letting winners run.
### 4. Dynamic Momentum Threshold
Uses ATR (Average True Range) multiplied by your threshold setting to adapt to market volatility. Volatile markets = higher threshold. Quiet markets = lower threshold.
### 5. Trade Cooldown System
Prevents overtrading and revenge trading by enforcing a cooldown period between trades. Configurable from 1-24 bars.
### 6. Optional Session & Weekend Filters
Filter trades by Tokyo, London, and New York sessions. Optional weekend-off toggle to avoid low-liquidity periods.
---
## 🎯 How It Works
### Signal Generation
**STEP 1: Calculate Momentum**
- Momentum = Current Price - Price
- Check if Momentum > ATR × Threshold Multiplier
- Momentum must be accelerating (positive change in momentum)
**STEP 2: Confirm with EMA Trend Filter**
- Long: Price must be above EMA
- Short: Price must be below EMA
**STEP 3: Check Filters**
- Not in cooldown period
- Valid session (if enabled)
- Not weekend (if enabled)
**STEP 4: ENTRY SIGNAL TRIGGERED**
### Risk Management Example
**Example Long Trade:**
- Entry: $100
- Stop Loss: $97.80 (2.2% risk)
- Risk Amount: $2.20
**Take Profit Levels:**
- TP1: $104.40 (2R = $4.40) → Close 50%
- TP2: $105.50 (2.5R = $5.50) → Close 40%
- Final: $105.50 (2.5R) → Close remaining 10%
---
## ⚙️ Settings Guide
### Core Strategy
**Momentum Length** (Default: 13)
Number of bars for momentum calculation. Higher = stronger but fewer signals.
**Momentum Threshold** (Default: 2.25)
ATR multiplier. Higher = only trade biggest moves.
**Use EMA Trend Filter** (Default: ON)
Only long above EMA, short below EMA.
**EMA Length** (Default: 28)
Period for trend-confirming EMA.
### Filters
**Use Trading Session Filter** (Default: OFF)
Restrict trading to specific sessions.
**Tokyo Session** (Default: OFF)
Trade during Asian hours (00:00-09:00 JST).
**London Session** (Default: OFF)
Trade during European hours (08:00-17:00 GMT).
**New York Session** (Default: OFF)
Trade during US hours (08:00-17:00 EST).
**Weekend Off** (Default: OFF)
Disable trading on Saturdays and Sundays.
### Risk Management
**Stop Loss %** (Default: 2.2)
Fixed percentage stop loss from entry.
**Risk:Reward Ratio** (Default: 2.5)
Your target reward as multiple of risk.
**Use Partial Profit Taking** (Default: ON)
Take profits in stages.
**First TP R:R** (Default: 2.0)
First target as multiple of risk.
**First TP Size %** (Default: 50)
Percentage of position to close at TP1.
**Second TP R:R** (Default: 2.5)
Second target as multiple of risk.
**Second TP Size %** (Default: 40)
Percentage of position to close at TP2.
### Trade Management
**Use Trade Cooldown** (Default: ON)
Prevent overtrading.
**Cooldown Bars** (Default: 6)
Bars to wait after closing a trade.
---
## 🎨 Visual Elements
### Chart Indicators
🟢 **Green Dot** (below bar) = Long entry signal
🔴 **Red Dot** (above bar) = Short entry signal
🔵 **Blue X** (above bar) = Long position closed
🟠 **Orange X** (below bar) = Short position closed
**EMA Line** = Trend direction (green when bullish, red when bearish)
**White Line** = Entry price
**Red Line** = Stop loss level
**Green Lines** = Take profit levels (TP1, TP2, Final)
### Dashboard
When not in real-time mode, a dashboard displays:
- Current position (LONG/SHORT/FLAT)
- Entry price
- Stop loss price
- Take profit price
- R:R ratio
- Current momentum strength
- Total trades
- Win rate
- Net profit %
---
## 📈 Recommended Settings by Timeframe
### 1-Hour Timeframe (Default)
- Momentum Length: 13
- Momentum Threshold: 2.25
- EMA Length: 28
- Stop Loss: 2.2%
- R:R Ratio: 2.5
- Cooldown: 6 bars
### 4-Hour Timeframe
- Momentum Length: 24-36
- Momentum Threshold: 2.5
- EMA Length: 50
- Stop Loss: 3-4%
- R:R Ratio: 2.0-2.5
- Cooldown: 6-8 bars
### 15-Minute Timeframe
- Momentum Length: 8-10
- Momentum Threshold: 2.0
- EMA Length: 20
- Stop Loss: 1.5-2%
- R:R Ratio: 2.0
- Cooldown: 4-6 bars
---
## 🔧 Optimization Tips
### Want More Trades?
- Decrease Momentum Threshold (2.0 instead of 2.25)
- Decrease Momentum Length (10 instead of 13)
- Decrease Cooldown Bars (4 instead of 6)
### Want Higher Quality Trades?
- Increase Momentum Threshold (2.5-3.0)
- Increase Momentum Length (18-24)
- Increase Cooldown Bars (8-10)
### Want Lower Drawdown?
- Increase Cooldown Bars
- Use tighter stop loss
- Enable session filters (trade only high-liquidity sessions)
- Enable Weekend Off
### Want Higher Win Rate?
- Increase R:R Ratio (may reduce total profit)
- Increase Momentum Threshold (fewer but stronger signals)
- Use longer EMA for trend confirmation
---
## 📊 Performance Expectations
Based on typical backtesting results:
- **Win Rate**: 35-45%
- **Profit Factor**: 1.5-2.0
- **Risk:Reward**: 1:2.5 (configurable)
- **Max Drawdown**: 10-20%
- **Trades/Month**: 8-15 (1H timeframe)
**Note:** Win rate may appear low, but with 2.5:1 R:R, you only need ~29% win rate to break even. The strategy aims for quality over quantity.
---
## 🎓 Strategy Logic Explained
### Why Momentum > EMA Crossover?
**EMA Crossover Problems:**
- Signals lag behind price
- Late entries = poor R:R
- Many false signals in ranging markets
**Momentum Advantages:**
- Catches moves as they start accelerating
- Earlier entries = better R:R
- Adapts to volatility via ATR
### Why Partial Profit Taking?
**Without Partial TPs:**
- All-or-nothing approach
- Winners often turn to losers
- High stress watching open positions
**With Partial TPs:**
- Lock in 50% at first target
- Reduce risk to breakeven
- Let remainder ride for bigger gains
- Lower psychological pressure
### Why Trade Cooldown?
**Without Cooldown:**
- Revenge trading after losses
- Overtrading in choppy markets
- Emotional decision-making
**With Cooldown:**
- Forces discipline
- Waits for new setup to develop
- Reduces transaction costs
- Better signal quality
---
## ⚠️ Important Notes
1. **This is a momentum strategy, not an EMA strategy**
The EMA only confirms trend direction. Momentum generates the actual signals.
2. **Backtest thoroughly before live trading**
Past performance ≠ future results. Test on your specific asset and timeframe.
3. **Use proper position sizing**
Risk 1-2% of account per trade maximum. The strategy uses 100% equity by default (adjust in Properties).
4. **Dashboard auto-hides in real-time**
Clean chart for live trading. Visible during backtesting.
5. **Customize for your trading style**
All settings are fully adjustable. No single "best" configuration.
---
## 🚀 Quick Start Guide
1. **Add to Chart**: Apply to your preferred asset and timeframe
2. **Keep Defaults**: Start with default settings
3. **Backtest**: Review historical performance
4. **Paper Trade**: Test with simulated money first
5. **Go Live**: Start small and scale up
---
## 💡 Pro Tips
**Tip 1: Combine Timeframes**
Use higher timeframe (4H) for trend direction, lower timeframe (1H) for entries.
**Tip 2: Avoid News Events**
Major news can cause whipsaws. Consider manual intervention during high-impact events.
**Tip 3: Monitor Momentum Strength**
Dashboard shows momentum in sigma (σ). Values >1.0σ indicate very strong momentum.
**Tip 4: Adjust for Volatility**
In high-volatility markets, increase threshold and stop loss. In quiet markets, decrease them.
**Tip 5: Review Losing Trades**
Check if losses are hitting stop loss or reversing. Adjust stop accordingly.
---
## 📝 Changelog
**v1.0** - Initial Release
- Momentum-based signal generation
- EMA trend filter
- Programmable R:R ratio
- Partial profit taking (3 stages)
- Trade cooldown system
- Session filters (Tokyo/London/New York)
- Weekend off toggle
- Smart dashboard (auto-hides in real-time)
- Clean visual design
---
## 🙏 Credits
Developed by **Hash Capital Research**
If you find this strategy useful, please give it a like and share with others!
---
## ⚖️ Disclaimer
This strategy is for educational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before trading.
---
## 📬 Feedback
Have suggestions or found a bug? Leave a comment below! I'm continuously improving this strategy based on community feedback.
---
**Happy Trading! 🚀📈**
Breakouts & Pullbacks [Trendoscope®]🎲 Breakouts & Pullbacks - All-Time High Breakout Analyzer
Probability-Based Post-Breakout Behavior Statistics | Real-Time Pullback & Runup Tracker
A professional-grade Pine Script v6 indicator designed specifically for analyzing the historical and real-time behavior of price after strong All-Time High (ATH) breakouts. It automatically detects significant ATH breakouts (with configurable minimum gap), measures the depth and duration of pullbacks, the speed of recovery, and the subsequent run-up strength — then turns all this data into easy-to-read statistical probabilities and percentile ranks.
Perfect for swing traders, breakout traders, and anyone who wants objective, data-driven insight into questions like:
“How deep do pullbacks usually get after a strong ATH breakout?”
“How many bars does it typically take to recover the breakout level?”
“What is the median run-up after recovery?”
“Where is the current pullback or run-up relative to historical ones?”
🎲 Core Concept & Methodology
Indicator is more suitable for indices or index ETFs that generally trade in all-time highs however subjected to regular pullbacks, recovery and runups.
For every qualified ATH breakout, the script identifies 4 distinct phases:
Breakout Point – The exact bar where price closes above the previous ATH after at least Minimum Gap bars.
Pullback Phase – From breakout candle high → lowest low before price recovers back above the breakout level.
Recovery Phase – From the pullback low → the bar where price first trades back above the original breakout price.
Post-Recovery Run-up Phase – From the recovery point → current price (or highest high achieved so far).
Each completed cycle is stored permanently and used to build a growing statistical database unique to the loaded chart and timeframe.
🎲 Visual Elements
Yellow polyline triangle connecting Previous ATH / Pullback point(start), New ATH Breakout point (end), Recovery point (lowest pullback price), and extends to recent ATH price.
Small green label at the pullback low showing detailed tooltip on hover with all measured values
Clean, color-coded statistics table in the top-right corner (visible only on the last bar)
Powerful Statistics Table – The Heart of the Indicator
The table constantly compares the current situation against all past qualified breakouts and shows details about pullbacks, and runups that help us calculate the probability of next pullback, recovery or runup.
🎲 Settings & Inputs
Minimum Gap
The minimum number of bars that must pass between breaking a new ATH and the previous one.
Higher values = stricter filter → only the strongest, cleanest breakouts are counted.
Lower values = more data points (useful on lower timeframes or very trending instruments).
Recommendation:
Daily charts: 30–50
4H charts: 40–80
1H charts: 100–200
🎲 How to Use It in Practice
This indicator helps investors to understand when to be bullish, bearish or cautious and anticipate regular pullbacks, recovery of markets using quantitative methods.
The indicator does not generate buy/sell signals. However, helps traders set expectations and anticipate market movements based on past behavior.
NASDAQ 5MIN — 8×13 EMA + VWAP Pro Setup (2025)NASDAQ 5MIN — 8×13 EMA + VWAP Pro Setup (2025 Funded Trader Edition)
by ASALEH2297
The exact same 5-minute Nasdaq scalping system that multiple 6- and 7-figure funded accounts are running live in 2025 – now public.
100 % mechanical, zero repaint, zero guesswork.
Core Rules (executed instantly when the arrow prints):
• 8 EMA crosses 13 EMA
• Must be on the correct side of daily VWAP AND sloping 34 EMA
• Price closed beyond the 34 EMA
• High-confidence filter = price well away from VWAP + fast 8 EMA trending + volume spike → massive bright “3↑ / 3↓” arrow (load full size)
• Normal confidence = small arrow (normal or half size)
Key Features:
• Automatic dynamic swing stops plotted in real-time (6-point buffer beyond prior 10-bar extreme – the exact 2025 NQ stop method)
• Clean, impossible-to-miss arrows (huge bright for Conf 3, small for regular)
• Built-in alert conditions so “LONG (Conf 3)” and “SHORT (Conf 3)” appear instantly in mobile/desktop alerts
• Works perfectly on NQ1! (full) and MNQ1! (micro) 5-minute charts
• Best sessions: 09:30–11:30 ET and 14:00–16:00 ET
How to trade it:
1. Big 3-arrow appears on closed bar → market order in
2. Stop = red dashed line (already drawn)
3. Scale out 50 % at +40 pts NQ / +20 pts MNQ, move rest to breakeven, trail with 13 EMA
Pine Script v6 – zero errors, zero warnings.
Used daily on live funded desks. Add it, set the two Conf-3 alerts, and let the phone scream only when the real money prints.
“When the 3↑ hits… the bag follows.”
— ASALEH2297
MoneyM Line StrategyPrimary Test: 2020-Present (most relevant for future)
Secondary Test: 2021-Present (includes full cycle)
Validation Test: 2017-Present (longer history)
Target Annual Return: 100-200% (2-4x BTC's 50-100%)
Target Max DD: 25-35% (50% less than BTC's typical 60-70%)
Target Trades: 20-40 per year on weekly (sustainable monitoring)
triple cruce CarpatosWe are using a moving average package: three exponential moving averages of 4, 18, and 40 periods, and a simple moving average of 200. This is similar to the classic triple death cross, except for a small change in the EMA from 14 to 18.
The idea is to use the triple cross of the fast moving averages to determine entry or exit points as appropriate, and a 200-period simple moving average to define the long-term trend.
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate.
Below, I show you a simple bullish trend-following system with clear execution rules:
System Rules
-Long entries when the 50-period EMA crosses above the 200-period EMA.
-Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA.
Risk Management
-Initial capital: $10,000
-Position size: 10% of capital per trade
-Commissions: 0.1% per trade
Important Note:
In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility.
Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility.
For example, we can maintain a fixed loss percentage when volatility is low by using the following formula:
Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss
And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly.
Practical example:
Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%):
23.57% − 15% = 8.57%
Now suppose we normally use $200 per trade.
To calculate 8.57% of $200:
200 × (8.57 / 100) = $17.14
Then subtract that amount from the original position size:
$200 − $17.14 = $182.86
In summary:
If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings.
I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account.
About the code:
Strategy declaration:
The strategy is named 'Golden Cross 50/200 EMA'.
overlay=true means it will be drawn directly on the price chart.
initial_capital=10000 sets the initial capital to $10,000.
default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity.
margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required).
commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade.
Indicators:
Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200).
Crossover detection:
bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross).
bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross).
Recent swing:
swingLow calculates the lowest low of the previous 15 periods.
Stop Loss:
entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs.
Entry and exit conditions:
Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened.
Exit on opposite signal: When a bearCross occurs, the long position is closed.
Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed.
Visualization:
Both EMAs are plotted (50-period in blue, 200-period in red).
Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross.
A horizontal orange line is drawn that shows the stop loss level whenever a position is open.
Alerts:
Alerts are created for:Long entry
Exit on bearish crossover (Death Cross)
Exit triggered by stop loss
Favorable Conditions:
Tesla (45-minute timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $12,458.73 or +124.59%
Maximum drawdown: $1,210.40 or 8.29%
Total trades: 107
Winning trades: 27.10% (29/107)
Profit factor: 3.141
Tesla (1-hour timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $7,681.83 or +76.82%
Maximum drawdown: $993.36 or 7.30%
Total trades: 75
Winning trades: 29.33% (22/75)
Profit factor: 3.157
Netflix (45-minute timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,380.73 or +113.81%
Maximum drawdown: $699.45 or 5.98%
Total trades: 134
Winning trades: 36.57% (49/134)
Profit factor: 2.885
Netflix (1-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,689.05 or +116.89%
Maximum drawdown: $844.55 or 7.24%
Total trades: 107
Winning trades: 37.38% (40/107)
Profit factor: 2.915
Netflix (2-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $12,807.71 or +128.10%
Maximum drawdown: $866.52 or 6.03%
Total trades: 56
Winning trades: 41.07% (23/56)
Profit factor: 3.891
Meta (45-minute timeframe)
May 18, 2012 – November 17, 2025
Total net profit: $2,370.02 or +23.70%
Maximum drawdown: $365.27 or 3.50%
Total trades: 83
Winning trades: 31.33% (26/83)
Profit factor: 2.419
Apple (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,232.55 or +80.59%
Maximum drawdown: $581.11 or 3.16%
Total trades: 140
Winning trades: 34.29% (48/140)
Profit factor: 3.009
Apple (1-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $9,685.89 or +94.93%
Maximum drawdown: $374.69 or 2.26%
Total trades: 118
Winning trades: 35.59% (42/118)
Profit factor: 3.463
Apple (2-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,001.28 or +77.99%
Maximum drawdown: $755.84 or 7.56%
Total trades: 67
Winning trades: 41.79% (28/67)
Profit factor: 3.825
NVDA (15-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $11,828.56 or +118.29%
Maximum drawdown: $1,275.43 or 8.06%
Total trades: 466
Winning trades: 28.11% (131/466)
Profit factor: 2.033
NVDA (30-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $12,203.21 or +122.03%
Maximum drawdown: $1,661.86 or 10.35%
Total trades: 245
Winning trades: 28.98% (71/245)
Profit factor: 2.291
NVDA (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $16,793.48 or +167.93%
Maximum drawdown: $1,458.81 or 8.40%
Total trades: 172
Winning trades: 33.14% (57/172)
Profit factor: 2.927
DCA Bot v7 - Cryptosa Nostra 1.0Technical Overview: Adaptive RSI DCA Bot
This is a sophisticated DCA (Dollar Cost Averaging) indicator designed for accumulating assets and managing portfolio distribution. It does not trade on simple RSI crosses. Instead, it combines multi-zone RSI analysis with ATR-based volatility triggers to execute staggered, dynamically-sized trades.
Its core feature is a "learning" engine that adapts its own settings over time. This "brain" can be trained on historical data and then applied to your real-time portfolio holdings via a "Live Override" feature.
Core Logic: How It Works
A trade is only executed when two conditions are met simultaneously:
The RSI Condition: The RSI must be inside one of the four pre-defined zones.
The Price Condition: The price must cross a "trigger line" (the green or red line) that is dynamically calculated based on volatility.
1. The Four RSI Zones
This script uses four distinct zones to determine the intent to trade:
Deep Buy Zone (Default: RSI <= 35 & Downtrend): This is the primary "value" buy signal. It only activates if the RSI is deeply oversold and the price is below the 200-period Trend MA.
Reload Buy Zone (Default: RSI 40-50 & Uptrend): This is a "buy the dip" signal. It looks for minor pullbacks during an established uptrend (price above the 200-period Trend MA).
Profit-Taking Zone (Default: RSI 70-80): Triggers a standard, small sell when the market is overbought.
Euphoria Zone (Default: RSI >= 80): Triggers a larger, more aggressive sell during extreme "blow-off" tops.
2. Dynamic Trade Sizing
The amount to buy or sell is not fixed. It scales dynamically based on how high or low the RSI is:
Buy Sizing: Spends a higher percentage of available cash when RSI is at its lowest (e.g., 35) and a smaller percentage when it's at the top of the reload zone (e.g., 50).
Sell Sizing: Sells a smaller percentage of holdings when RSI just enters the overbought zone (e.g., 70) and a much larger percentage when it's in the euphoria zone (e.g., 80+).
3. The "Adaptive Brain" (ATR Multipliers)
This is the script's learning mechanism. The green/red trigger lines are calculated as: Last Trade Price +/- (ATR * Multiplier).
This "Multiplier" is the brain. It adapts based on trade performance.
After a successful trade (as defined by profit_target_multiplier), the bot gets more confident and reduces the multiplier. This places the next trigger line closer to the price, making it more aggressive.
After a losing trade (as defined by loss_limit_multiplier), the bot gets more cautious and increases the multiplier. This places the next trigger line further away, making it more patient.
How to Use This Indicator
This script is designed to be "trained" on historical data to provide relevant signals for today.
To Train the Brain: In the settings, go to "1. Backtest Settings". Set the "Start Date (For Learning)" to a date in the past (e.g., 6 months or 1 year ago). The script will run a simulation from that date, allowing its Adaptive Multipliers (the "brain") to adjust to the market's volatility.
To See Live Signals: In "2. Live Portfolio Override", check the box "Override Backtest Balance?" and enter your real current coin and USD holdings.
Result: The "Live Status" table (top-right) will now display signals from the trained brain but will calculate the "Potential Buy %" and "Potential Sell %" based on your real portfolio. The "Buy Multi" and "Sell Multi" fields show you the brain's current learned values.
ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale//@version=5
indicator("ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale",
overlay = true,
scale = scale.right, // ⭐ 强制使用右侧价格刻度
precision = 2)
// ——— 参数 ———
src = input.source(close, "Source")
emaLength = input.int(34, "EMA Length")
atrLength = input.int(13, "ATR Length")
atrMult1 = input.float(1.0, "ATR ×1")
atrMult2 = input.float(2.0, "ATR ×2")
atrMult3 = input.float(3.0, "ATR ×3")
// ——— 计算 ———
ema = ta.ema(src, emaLength)
atr = ta.atr(atrLength)
// 上下轨
upper1 = ema + atr * atrMult1
upper2 = ema + atr * atrMult2
upper3 = ema + atr * atrMult3
lower1 = ema - atr * atrMult1
lower2 = ema - atr * atrMult2
lower3 = ema - atr * atrMult3
// ——— 绘图 ———
plot(ema, "EMA", color = color.white, linewidth = 2)
plot(upper1, "Upper 1×ATR", color = color.new(color.green, 0))
plot(upper2, "Upper 2×ATR", color = color.new(color.green, 30))
plot(upper3, "Upper 3×ATR", color = color.new(color.green, 60))
plot(lower1, "Lower 1×ATR", color = color.new(color.red, 0))
plot(lower2, "Lower 2×ATR", color = color.new(color.red, 30))
plot(lower3, "Lower 3×ATR", color = color.new(color.red, 60))
// ——— 可选:在当前 K 线上标记数值,方便你肉眼对比 ———
showDebug = input.bool(false, "Show Debug Labels (for checking value vs position)")
if showDebug
var label lb = na
if barstate.islast
label.delete(lb)
txt = "EMA: " + str.tostring(ema, format.mintick) + "\n" +
"U1: " + str.tostring(upper1, format.mintick) + "\n" +
"U2: " + str.tostring(upper2, format.mintick) + "\n" +
"U3: " + str.tostring(upper3, format.mintick)
lb := label.new(bar_index, upper1, txt, style = label.style_label_right, textcolor = color.white, color = color.new(color.black, 40))






















