GOLD TAS/TAM (Cartoon_Futures)Highlights the 5min close range around the TAM and TAS times of gold. it works on 5min charts and belwo. it works on the 5min candle close, not the vwap per true cme TAS and TAM calculations. you need to move to 1min and adjust preset times to get the proper london settlements
CME times
NY TAS: Sun-Fri 6:00 p.m. - 1:30 p.m. ET (5:00 - 12:30 CT) Central time
TAM:
Asia TAM: Sun - Frid 6:00 p.m. ET - 3:30 p.m. China
London a.m. TAM: Sun-Fri 6:00 p.m. ET - 10:32 a.m. London
London p.m.: TAM Sun-Fri 6:00 p.m. ET - 3:02 p.m. London
Indicateurs et stratégies
TheStrat Failed 2 + 2 Continuation FTFC AlignmentTheStrat “Failed 2 + FTFC Alignment” spots a specific reversal/continuation pattern and layers on higher-timeframe confirmation so newer traders can focus on clean, high-probability setups.
WHAT IT LOOKS FOR
- A Failed 2 bar (price breaks the prior high/low but closes back through its open).
• Failed 2D (bullish): price takes out the previous low but finishes green.
• Failed 2U (bearish): price takes out the previous high but finishes red.
- The very next bar must be a true “2” continuation in the opposite direction (2U after a Failed 2D or 2D after a Failed 2U). This is the classic “2-2 reversal/continuation” from TheStrat playbook.
WHY IT MATTERS
When a failed 2 immediately resolves into a clean 2, it signals that buyers or sellers have seized control. These moves often become momentum pushes, especially if the broader timeframes agree.
HIGHER-TIMEFRAME FILTER
- Checks Monthly, Weekly, and 3-Day opens in real time.
- Bull signals only pass when all three are above their opens (full timeframe continuity up).
- Bear signals only pass when all three are below their opens (full timeframe continuity down).
WHAT YOU GET
- Optional labels that mark Failed 2 bars and the confirmed 2-2 signals.
- A compact “FTFC” icon on the exact bar where the continuation qualifies.
- Toggleable intrabar and bar-close alerts (select “Any alert() function call” for real-time alerts).
- A mini panel showing Monthly/Weekly/3-Day arrows so you can verify FTFC at a glance.
- Settings to require the continuation candle to be the same color as the failed bar for extra confirmation.
HOW TO USE
1. Add the script to your chart and confirm the panel arrows are aligned when icons appear.
2. Turn on the bar-close alert conditions for confirmed signals, or enable intrabar alerts for early warnings.
3. Combine the signal with your entry/stop rules (e.g., trigger on break of the signal bar and use the prior swing for risk).
This script serves as training wheels for traders learning TheStrat by automatically filtering for high-quality Failed-2 → 2 reversals that align across multiple timeframes.
Cumulative Volume Delta - LineA simple tweak to the CVD indicator from TradingView for better readability.
Use it to spot absorption and exhaustion at key levels.
For example,
Price is making higher highs while CVD is making lower highs - possible exhaustion of buyers
Price is making lower highs while CVD is making higher highs - possible absorption of buyers
Price is making lower lows while CVD is making higher lows - possible exhaustion of sellers
Price is making higher lows while CVD is making lower lows - possible absorption of sellers
投資の運勢※日本語説明文は英文の下にあります。
This indicator is a dashboard that simplifies the market’s current condition as a “fortune” by comprehensively evaluating the strength of multiple technical indicators. It allows you to check important analytical results at a glance without cluttering the chart with unnecessary lines.
🎯 How it works: Quantifying and integrating multiple indicators
At the core of this indicator is the process of quantifying four key aspects of the market—trend, momentum, volatility, and volume—assigning weights to each, and calculating an overall score.
How to use it
This indicator functions as a table (dashboard) displayed on your chart.
Check your “fortune for today” to get an overall view of the market’s current risk-reward profile.
Analyze the rows for each indicator to understand the factors behind the fortune.
For example: “The fortune is ‘moderately favorable,’ but volatility is very high (numerical value is large), which reduces the overall score due to its weighted impact.”
The table uses white text on a dark background, making it easy to read regardless of the chart’s color scheme.
⚙️ Customization (Settings Panel)
In the indicator’s settings panel, you can make the following key adjustments:
Type of Moving Average: Turning on use_ema allows the trend calculation to use EMA (Exponential Moving Average).
Weight Adjustment: You can adjust the weights of each indicator (e.g., w_trend, w_momentum) to modify the scoring logic according to your strategy (e.g., trend-focused, momentum-focused).
Use this “fortune chart” as a supplementary tool to objectively assess the current market conditions, rather than as the final decision-maker for trades.
---------------ここから日本語説明--------------------------
このインジケーターは、複数のテクニカル指標の強さを総合的に評価し、現在の市場の状況を**「運勢」**としてシンプルに表示するダッシュボードです。チャート上に邪魔なラインを表示せず、重要な分析結果をひと目で確認できます。
🎯 仕組み：複数の指標を数値化して統合
このインジケーターの核となるのは、市場の4つの主要な側面（トレンド、モメンタム、ボラティリティ、出来高）を数値化し、それぞれに重み付けをして総合スコアを算出する点です。
活用方法
このインジケーターは、チャートに表示される**テーブル（ダッシュボード）**として機能します。
「今日の運勢」を確認し、現在の市場のリスク・リワードの全体像を把握します。
各指標の行を見て、運勢の根拠となった要素を分析します。
例：「運勢が中吉だが、ボラティリティが非常に高い（数値が大きい）ため、重みが働いてスコアが抑えられている」といった分析が可能です。
テーブルは文字が白で背景が暗い色に統一されているため、どの背景色でも見やすくなっています。
⚙️ カスタマイズ（設定パネル）
インジケーターの設定画面で、以下の重要な調整が可能です。
移動平均線の種類: use_ema をONにすると、トレンド計算に**EMA（指数移動平均）**を使用できます。
重み調整: 各指標の w_trend, w_momentum などを調整することで、ご自身の戦略（例：トレンド重視、モメンタム重視）に合わせてスコアの算出ロジックを変更できます。
この「占いチャート」を、トレード判断の最終決定ではなく、現状の市場を客観的に評価する補助ツールとしてご活用ください。
MYPYBiTE.com – Trend MAsI wrote this simple script to track momentum and associate my personal webpage with the development projects I do as a hobby. Technical information is a powerful way to understand trends and I included the various variables I use. Please as always considering that the trend is not the only component to investing and trading and fundamental information provides a compliment to the diligence employed by any serious trader or investor.
Megvie Scalping C - Pullback EMA20/50 (3-5m) by Lynda//@version=5
indicator("Megvie Scalping C - Pullback EMA20/50 (3-5m)", overlay=true, max_labels_count=500, max_lines_count=500)
// === INPUTS ===
ema_fast_len = input.int(20, "EMA fast (pullback)")
ema_slow_len = input.int(50, "EMA slow (trend)")
rsi_len = input.int(14, "RSI length")
rsi_min = input.int(40, "RSI min for entry")
atr_len = input.int(14, "ATR length (for SL/TP)")
use_atr_for_sl = input.bool(true, "Use ATR for SL size")
atr_sl_mult = input.float(1.0, "SL = ATR * multiplier", step=0.1)
rr = input.float(1.8, "Risk:Reward (TP = SL * RR)", step=0.1)
max_signals_repeat = input.int(3, "Min bars between signals", minval=1)
// === INDICATORS ===
ema_fast = ta.ema(close, ema_fast_len)
ema_slow = ta.ema(close, ema_slow_len)
rsi = ta.rsi(close, rsi_len)
atr = ta.atr(atr_len)
plot(ema_fast, color=color.new(color.green, 0), title="EMA 20")
plot(ema_slow, color=color.new(color.red, 0), title="EMA 50")
// === TREND FILTER ===
trend_bull = ema_fast > ema_slow
trend_bear = ema_fast < ema_slow
// === PULLBACK CONDITION ===
// Consider a pullback when price traded at/under EMA20 within the last 3 bars and now shows a bullish/bearish confirmation
pullback_bull = ta.lowest(low, 3) <= ema_fast and close > ema_fast
pullback_bear = ta.highest(high, 3) >= ema_fast and close < ema_fast
// === CONFIRMATION CANDLE ===
// Bullish confirmation: current close > open AND close > high (strong close)
// Bearish confirmation: current close < open AND close < low
bullish_candle = close > open and close > high
bearish_candle = close < open and close < low
// === ENTRY SIGNALS (Version C logic) ===
buySignal = trend_bull and pullback_bull and rsi >= rsi_min and bullish_candle
sellSignal = trend_bear and pullback_bear and rsi <= (100 - rsi_min) and bearish_candle
// Prevent firing signals too often
var int lastSignalBar = na
ok_to_fire = na(lastSignalBar) ? true : (bar_index - lastSignalBar) > max_signals_repeat
buyFire = buySignal and ok_to_fire
sellFire = sellSignal and ok_to_fire
if buyFire
lastSignalBar := bar_index
if sellFire
lastSignalBar := bar_index
// === SL / TP CALCULATION ===
var float sl_price = na
var float tp_price = na
var line sl_line = na
var line tp_line = na
var label sig_label = na
if buyFire
if use_atr_for_sl
sl_price := close - atr * atr_sl_mult
else
sl_price := ta.lowest(low, 3) - syminfo.mintick * 5
tp_price := close + (close - sl_price) * rr
// draw lines and label
line.delete(sl_line )
line.delete(tp_line )
label.delete(sig_label )
sl_line := line.new(bar_index, sl_price, bar_index + 50, sl_price, color=color.new(color.red, 0), width=1, extend=extend.right)
tp_line := line.new(bar_index, tp_price, bar_index + 50, tp_price, color=color.new(color.green, 0), width=1, extend=extend.right)
sig_label := label.new(bar_index, low, "BUY SL:" + str.tostring(sl_price, format.mintick) + " TP:" + str.tostring(tp_price, format.mintick), style=label.style_label_up, color=color.new(color.green,0), textcolor=color.white, size=size.small)
if sellFire
if use_atr_for_sl
sl_price := close + atr * atr_sl_mult
else
sl_price := ta.highest(high, 3) + syminfo.mintick * 5
tp_price := close - (sl_price - close) * rr
// draw lines and label
line.delete(sl_line )
line.delete(tp_line )
label.delete(sig_label )
sl_line := line.new(bar_index, sl_price, bar_index + 50, sl_price, color=color.new(color.red, 0), width=1, extend=extend.right)
tp_line := line.new(bar_index, tp_price, bar_index + 50, tp_price, color=color.new(color.green, 0), width=1, extend=extend.right)
sig_label := label.new(bar_index, high, "SELL SL:" + str.tostring(sl_price, format.mintick) + " TP:" + str.tostring(tp_price, format.mintick), style=label.style_label_down, color=color.new(color.red,0), textcolor=color.white, size=size.small)
// === PLOT SIGNAL ARROWS ===
plotshape(buyFire, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="BUY")
plotshape(sellFire, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="SELL")
// === ALERTS ===
alertcondition(buyFire, title="BUY Signal", message="Megvie C: BUY signal. SL: {{plot_0}} TP: {{plot_1}}")
alertcondition(sellFire, title="SELL Signal", message="Megvie C: SELL signal. SL: {{plot_0}} TP: {{plot_1}}")
alertcondition(ta.cross(close, tp_price), title="TP Hit", message="Megvie C: TP reached")
alertcondition(ta.cross(close, sl_price), title="SL Hit", message="Megvie C: SL reached")
// === NOTES ===
// - Optimized for 3-5 minute charts.
// - Test in paper trading before using real capital.
// - Adjust ATR multiplier and RR to match your risk management.
PersonsPivots-UpdatedThe script was written by another script writer and it worked fine with Futures, Forex and ETFs but had a Runtime error for stocks so I had a coder friend do a debug
Key Levels: PDH/L, PMH/L, Oopening RangeBasic scrip that shows Previous Day High and Low, and also Pre-Market High Lows, and also the Opening Range. Everything is adjustable.
Unusual Volume//@version=5
indicator("Unusual Volume", overlay=false)
// --- Inputs ---
len = input.int(20, "Average Volume Length", minval=1)
mult = input.float(2.0, "Unusual Volume Multiplier", step=0.1)
// --- Calculations ---
avgVol = ta.sma(volume, len)
ratio = volume / avgVol
isBigVol = ratio > mult
// --- Plots ---
plot(volume, "Volume", style=plot.style_columns,
color = isBigVol ? color.new(color.green, 0) : color.new(color.gray, 60))
plot(avgVol, "Average Volume", color=color.orange)
// Mark unusual volume bars
plotshape(isBigVol, title="Unusual Volume Marker",
location=location.bottom, style=shape.triangleup,
color=color.green, size=size.tiny, text="UV")
// Optional: show ratio in Data Window
var label ratioLabel = na
Perfect Opens Perfect BoxesThis approach combines two methods of chart denoising:
1. The underlying chart uses the previous close as the open price for the next candle, which makes candlestick patterns easier to read.
2. The overlay reduces the visual noise of a line chart by representing the price range over a given interval as a box; the “wicks” on this chart are purely cosmetic, indicating that closing prices lay outside the range of the previous interval.
21 & 55 EMA CloudWhenever prices goes inside the cloud and comes out
Entry: After coming out of the 21-55 EMA Cloud in uptrend
Confirm with CPR and support/resistance, breakout of resistance is good sign.
Stop loss is previous swing low.
Success Rate will be good
Breakout Pullback Continuation//@version=5
indicator("Breakout Pullback Continuation", overlay=true)
// === Parameters ===
lookback = 20 // Look for breakouts above this many bars
volumeFactor = 1.3 // How much volume needs to exceed average
pullbackDepth = 3 // Max bars to wait for pullback + green
// === Track State ===
var float breakoutLevel = na
var int breakoutBar = na
volumeSMA = ta.sma(volume, 20)
// === Detect Breakout ===
recentHigh = ta.highest(high, lookback)
breakout = close > recentHigh
if breakout
breakoutLevel := close
breakoutBar := bar_index
// === Check for Pullback After Breakout
pullbackOccurred = na(breakoutLevel) ? false : close < breakoutLevel and bar_index > breakoutBar
// === Check for Confirmation Candle
greenCandle = close > open
decentRange = (high - low) > (close * 0.003)
volumeSpike = volume > volumeSMA * volumeFactor
confirmation = pullbackOccurred and greenCandle and decentRange and volumeSpike and (bar_index - breakoutBar <= pullbackDepth)
// === Signal Plot ===
plotshape(confirmation, title="Pullback Continuation", location=location.belowbar, color=color.lime, style=shape.triangleup)
alertcondition(confirmation, title="Breakout Pullback Alert", message="🚀 {{ticker}} breakout-pullback-confirmation at {{close}}")
2-Year Real RateThe 2-year real rate is the inflation-adjusted yield on a 2-year U.S. Treasury—essentially the market’s expectation for short-term “true” interest rates after subtracting expected inflation (often approximated as nominal 2Y yield – breakeven inflation).
It matters because it reflects the actual cost of capital and is one of the cleanest gauges of the Fed’s effective stance: rising real rates mean tightening financial conditions, falling real rates mean loosening. In trading, the 2Y real rate is a powerful macro risk-on/risk-off indicator—equities, long-duration tech, crypto, and EM FX generally weaken when real rates rise, while USD and front-end rate-sensitive trades tend to strengthen. Watching inflections in the 2Y real rate helps you time shifts in liquidity, gauge how aggressively the market is pricing Fed moves, and position for cross-asset trends driven by changes in real funding conditions.
EMA 50 → EMA 200 Hunt TestThis script helps you test the theory below
When price breaks below the EMA 50…
it often goes hunting for the EMA 200.
This pattern repeats across:
• Any asset
• Any timeframe
Is this really true?
So this is what this script does
when price close below ema 50, how many times it goes down further and close below ema 200.
after price close below ema 50, on any of further days if it closes above ema 50 without closing below 200 ema, then it goes invalid and we calculate this count, how many sych occurences happens
after price close below ema 50, on any of further days if it doesn close above ema 50 and closed below 200 ema, we consider its valid and count this occurences
we need to compare both in table
Bullish and Bearish Engulfing (Strength & Trend)This is the final indicator that will show all the “Bullish Engulfing” and “Bearish Engulfing” price action patterns on the chart.
There are several indicators that show this type of chart pattern, but this will show you on the chart all the types of engulfing that may exist and differentiated by type (or strength).
I have classified 4 types of patterns for strength.
Those of strength 1 represent patterns that only incorporate the body of the previous candle, and therefore represent a "base" signal.
Those of strength 2 represent patterns that have the close beyond the shadow, but with an open equal to the previous close.
Those of strength 3 represent patterns that open beyond the previous close.
Those of strength 4 represent patterns in which the body of the candle completely encompasses the previous candle.
Trend Filter
For a better experience I have also added a trend filter via an exponential moving average adjustable from the settings.
So if activated, patterns will only appear if the candle is completely above the moving average.
The indicator is completed by alerts that can be activated either via the "any alert function" in which you will receive any alert, or you can choose whether to receive only bullish ones or only bearish ones.
Momentum Breakout Signal//@version=5
indicator("Momentum Breakout Signal", overlay=true)
// === Breakout Logic ===
length = 20 // Lookback for recent high
recentHigh = ta.highest(high, length)
// === Breakout Condition: Close > prior high
priceBreakout = close > recentHigh
// === Volume Spike Confirmation ===
volumeSMA = ta.sma(volume, 20)
volumeSpike = volume > volumeSMA * 1.3 // Customize sensitivity
// === Optional: Filter for strong candles only
isGreen = close > open
decentRange = (high - low) > (close * 0.003)
// === Final Signal Logic ===
signal = priceBreakout and volumeSpike and isGreen and decentRange
plotshape(signal, title="Breakout Signal", location=location.abovebar, color=color.orange, style=shape.triangleup, size=size.small)
alertcondition(signal, title="Momentum Breakout Alert", message="🚀 {{ticker}} breakout confirmed at {{close}}")
EMA 12-26-100 Momentum Strategy# Triple EMA Multi-Signal Momentum Strategy
## 📊 Overview
**Triple EMA Multi-Signal** is a comprehensive trend-following momentum strategy designed specifically for cryptocurrency markets. It combines multiple technical indicators and signal types to identify high-probability trading opportunities while maintaining strict risk management protocols.
The strategy excels in trending markets and uses adaptive position sizing with trailing stops to maximize profits during strong trends while protecting capital during choppy conditions.
## 🎯 Core Algorithm
### Triple EMA System
The strategy employs a three-layer EMA system to identify trend direction and strength:
- **Fast EMA (12)**: Quick response to price changes
- **Slow EMA (26)**: Confirmation of trend direction
- **Trend EMA (100)**: Overall market bias filter
Trades are only taken when all three EMAs align in the same direction, ensuring we trade with the dominant trend.
### Multi-Signal Confirmation (8 Signal Types)
The strategy requires at least 1-2 confirmed signals from multiple independent sources before entering a position:
1. **EMA Crossover** - Fast EMA crossing Slow EMA (primary signal)
2. **MACD Cross** - MACD line crossing signal line (momentum confirmation)
3. **RSI Reversal** - RSI bouncing from oversold/overbought zones
4. **Price Action** - Strong bullish/bearish candles (>60% of range)
5. **Volume Spike** - Above-average volume confirmation
6. **Breakout** - Price breaking 20-period high/low with volume
7. **Pullback to EMA** - Trend continuation after healthy retracement
8. **Bollinger Bounce** - Price bouncing from BB bands
This multi-signal approach significantly reduces false signals and improves win rate.
## 💰 Risk Management
### Position Sizing
- Default: 20-25% of equity per trade
- Adjustable based on risk tolerance
- Smaller positions recommended for leveraged trading
### Stop Loss & Take Profit
- **Stop Loss**: 2.0% (tight control of risk)
- **Take Profit**: 5.5% (2.75:1 reward-to-risk ratio)
- Both levels are fixed at entry to avoid emotional decisions
### Trailing Stop System
- Activates after 1.8% profit
- Trails at 1.3% below current price
- Locks in profits during extended trends
- Automatically adjusts as price moves in your favor
### Maximum Hold Time
- 36-48 hours maximum (configurable)
- Designed to minimize funding rate costs on futures
- Forces position closure to avoid excessive exposure
- Helps maintain capital velocity
## 📈 Key Features
### Trend Filters
- **ADX Filter**: Ensures sufficient trend strength (threshold: 20)
- **EMA Alignment**: All three EMAs must confirm trend direction
- **RSI Boundaries**: Avoids extreme overbought/oversold entries
### Volume Analysis
- Volume must exceed 20-period moving average
- Configurable multiplier (default: 1.0x)
- Helps identify institutional participation
### Automatic Exit Conditions
1. Take Profit target reached
2. Stop Loss triggered
3. Trailing stop activated
4. Trend reversal (EMA cross in opposite direction)
5. Maximum hold time exceeded
## 🎮 Recommended Settings
### For Spot Trading (Conservative)
```
Position Size: 15-20%
Stop Loss: 2.5%
Take Profit: 6.0%
Max Hold: 72 hours
Leverage: 1x
```
### For Futures 3-5x Leverage (Balanced)
```
Position Size: 12-15%
Stop Loss: 2.0%
Take Profit: 5.5%
Max Hold: 36 hours
Trailing: Active
```
### For Aggressive Trading 5-10x (High Risk)
```
Position Size: 8-12%
Stop Loss: 1.5%
Take Profit: 4.5%
Max Hold: 24 hours
ADX Filter: Disabled
```
## 📊 Performance Metrics
### Backtested Results (BTC/USDT 1H, 2 years)
- **Total Return**: ~19% (spot) / ~75% (5x leverage)*
- **Total Trades**: 240-300
- **Win Rate**: 49-52%
- **Profit Factor**: 1.25-1.50
- **Max Drawdown**: ~18-22%
- **Average Trade**: 0.5-3 days
*Leverage results exclude funding rates and real-world slippage
### Optimal Timeframes
- **1 Hour**: Best for active trading (recommended)
- **4 Hour**: More stable, fewer signals
- **15 Min**: High frequency (requires monitoring)
### Best Performing Assets
- BTC/USDT (most tested)
- ETH/USDT
- Major altcoins with good liquidity
- Not recommended for low-cap or illiquid pairs
## ⚙️ How to Use
1. **Add to Chart**: Apply strategy to 1H BTC/USDT chart
2. **Adjust Settings**: Configure risk parameters based on your preference
3. **Review Signals**: Green = Long, Red = Short, labels show signal count
4. **Monitor Performance**: Check strategy tester for detailed statistics
5. **Optimize**: Use strategy optimization to find best parameters for your market
## 🎨 Visual Indicators
The strategy provides clear visual feedback:
- **EMA Lines**: Blue (Fast), Red (Slow), Orange (Trend)
- **BUY/SELL Labels**: Show entry points with signal count
- **Stop/Target Lines**: Red (SL), Green (TP) displayed during active trades
- **Background Color**: Light green (long), light red (short) when in position
- **Info Panel**: Shows current trend, RSI, ADX, and volume status
## ⚠️ Important Notes
### Risk Disclaimer
- This strategy is for educational purposes only
- Past performance does not guarantee future results
- Cryptocurrency trading involves substantial risk
- Only trade with capital you can afford to lose
- Always use proper position sizing and risk management
### Limitations
- Performs poorly in sideways/choppy markets
- Requires sufficient liquidity for best execution
- Backtests do not include:
- Real-world slippage (especially during volatility)
- Funding rates (for perpetual futures)
- Exchange downtime or connection issues
- Emotional trading decisions
### For Futures Trading
If using this strategy on futures with leverage:
- Reduce position size proportionally to leverage
- Account for funding rates (~0.01% per 8h)
- Set max hold time to minimize funding costs
- Use lower leverage (3-5x max recommended)
- Monitor liquidation price carefully
## 🔧 Customization
All parameters are fully customizable:
- EMA periods (fast/slow/trend)
- MACD settings (12/26/9)
- RSI levels (30/70)
- Stop Loss / Take Profit percentages
- Trailing stop activation and offset
- Volume multiplier
- ADX threshold
- Maximum hold time
## 📚 Strategy Logic
The strategy follows this decision tree:
```
1. Check Trend Direction (EMA alignment)
↓
2. Scan for Entry Signals (8 types)
↓
3. Confirm with Filters (ADX, Volume, RSI)
↓
4. Enter Position with Fixed SL/TP
↓
5. Monitor for Exit Conditions:
- TP Hit → Close with profit
- SL Hit → Close with loss
- Trailing Active → Follow price
- Trend Reversal → Close position
- Max Time → Force close
```
## 🎓 Best Practices
1. **Start Conservative**: Use smaller position sizes initially
2. **Track Performance**: Monitor actual vs backtested results
3. **Optimize Regularly**: Market conditions change, adapt parameters
4. **Combine with Analysis**: Don't rely solely on automated signals
5. **Manage Emotions**: Stick to the system, avoid manual overrides
6. **Paper Trade First**: Test on demo before risking real capital
## 📞 Support & Updates
This strategy is actively maintained and updated based on:
- Market condition changes
- User feedback and suggestions
- Performance optimization
- Bug fixes and improvements
## 🏆 Conclusion
Triple EMA Multi-Signal Strategy offers a robust, systematic approach to cryptocurrency trading by combining trend following, momentum indicators, and strict risk management. Its multi-signal confirmation system helps filter false signals while the trailing stop mechanism captures extended trends.
The strategy is suitable for both manual traders looking for high-probability setups and algorithmic traders seeking a proven systematic approach.
**Remember**: No strategy wins 100% of the time. Success comes from consistent application, proper risk management, and continuous adaptation to changing market conditions.
---
*Version: 1.0*
*Last Updated: November 2025*
*Tested on: BTC/USDT, ETH/USDT (1H, 4H timeframes)*
*Recommended Capital: $5,000+ for optimal position sizing*
Grok/Claude Quantum Signal Pro * Grok/Claude X Series*Grok/Claude Quantum Signal Pro
This is a TradingView indicator focused on catching momentum reversals at price extremes, with a sophisticated divergence detection system as its standout feature. The "Quantum" branding is marketing flair — under the hood, it's a well-structured combination of momentum oscillators, volatility bands, and divergence analysis working together to identify high-probability turning points.
Core Philosophy
The indicator asks: "Is price at an extreme level where momentum is exhausted, and is there evidence that a reversal or continuation is likely?"
It approaches this by requiring multiple confirming factors before generating a signal. Price must be at a band extreme, momentum indicators must be at extreme readings, and the market must be trending (not choppy). Optionally, it can also require RSI divergence and volume confirmation.
The Dynamic Envelope Bands
The foundation is an adaptive channel built around a moving average (EMA or SMA, user's choice). The bands extend above and below this centerline using ATR (Average True Range) multiplied by a dynamic factor.
What makes these bands "adaptive" is that the multiplier adjusts based on ADX — when trends are stronger, the bands widen to accommodate larger directional moves. In weaker trend environments, the bands stay tighter. This helps the bands stay relevant across different market conditions rather than being too loose in quiet markets or too tight during volatile trends.
The centerline itself is color-coded based on its slope: green when rising, red when falling, yellow when flat. This gives immediate visual feedback on short-term directional bias.
The Multi-Layer Filter System
Signals must pass through several filters before being displayed. Here's what each filter does:
FilterWhat It ChecksDefault StateADX TrendingIs ADX above threshold (20)? Avoids signals in choppy, directionless marketsRequired (always on)RSI ExtremesIs RSI oversold (<30) for buys, overbought (>70) for sells?Required (always on)Fisher TransformIs Fisher below -2.0 for buys, above +2.0 for sells? Confirms momentum exhaustionRequired (always on)Trend AlignmentIs price above/below the trend EMA in the right direction?Optional (off by default)Volume SurgeIs current volume significantly above average?Optional (off by default)DivergenceIs there an active RSI divergence pattern?Optional (off by default)
The Fisher Transform
The Fisher Transform is a lesser-known oscillator that converts price into a Gaussian normal distribution, making extreme values much more pronounced. When Fisher readings hit +2.0 or -2.0, it indicates statistically significant momentum exhaustion. By requiring both RSI and Fisher to be at extremes simultaneously, the indicator filters out many false signals that would occur using just one oscillator.
The Detrended Price Oscillator (DPO)
The indicator also calculates DPO, which removes the trend component from price to show where current price sits relative to a historical average. This is displayed in the info panel as a percentage — positive values mean price is extended above its typical level, negative values mean it's extended below. This helps gauge how "stretched" price is from its mean.
RSI Divergence Detection — The Core Feature
This is where the indicator really shines. It detects both regular divergences (reversal signals) and hidden divergences (continuation signals).
Regular Divergences
Regular divergences suggest potential reversals:
Regular Bullish Divergence: Price makes a lower low, but RSI makes a higher low. This indicates that despite price falling further, selling momentum is actually weakening — a potential bottom signal. These are marked with cyan/light blue solid lines on the chart.
Regular Bearish Divergence: Price makes a higher high, but RSI makes a lower high. Despite price rising further, buying momentum is weakening — a potential top signal. Also marked with cyan solid lines.
Hidden Divergences
Hidden divergences suggest trend continuation (often overlooked by traders):
Hidden Bullish Divergence: Price makes a higher low, but RSI makes a lower low. The uptrend is healthy (higher lows in price), but RSI dipped lower, creating a "hidden" bullish setup that often precedes another leg up. Marked with purple dashed lines.
Hidden Bearish Divergence: Price makes a lower high, but RSI makes a higher high. The downtrend structure is intact, but RSI bounced higher, suggesting another leg down is coming. Also marked with purple dashed lines.
The divergence detection uses pivot points (local highs and lows) to identify the comparison points. Users can adjust the pivot lookback (how many bars to use for pivot identification) and the maximum lookback window for finding divergence pairs.
Signal Generation Logic
A buy signal fires when all these conditions align:
Market is trending (ADX above threshold)
RSI is in oversold territory (below 30)
Fisher Transform is oversold (below -2.0)
Plus any optional filters that are enabled
A sell signal requires the mirror conditions: trending market, overbought RSI (above 70), and overbought Fisher (above +2.0).
There's also a cooldown mechanism requiring at least 5 bars between signals to prevent clustering.
Visual Elements
The indicator provides layered visual information:
Adaptive bands with color-coded centerline (green/red/yellow based on slope)
Cloud fill between bands, colored by trend direction
Signal arrows (triangles) at entry points
Price labels showing exact entry price at each signal
Divergence lines connecting the pivot points that form the divergence pattern
Divergence labels ("REG BULL", "HID BEAR", etc.) with tooltips explaining what each pattern means
Info panel showing current status of all indicators and any active divergences
The Info Panel
The top-right panel displays real-time status for all the indicator components. Each row is color-coded to show whether that factor is currently bullish, bearish, or neutral. The last two rows specifically track whether regular and hidden divergences are currently active, making it easy to see at a glance if a divergence pattern has recently formed.
Alert System
The indicator includes a comprehensive alert system covering not just buy/sell signals, but also "setup building" conditions (when RSI and Fisher are at extremes but ADX hasn't confirmed yet), market regime changes (trending to ranging and vice versa), and individual divergence detections for all four types.
Summary
This indicator is designed for traders who want to catch reversals at price extremes with multiple layers of confirmation. Its strength lies in the divergence detection system, which identifies both potential reversals and trend continuation setups. The modular filter system lets users dial in their preferred level of strictness — from the default configuration that requires just the core filters, to a highly selective mode requiring trend alignment, volume confirmation, and divergence all at once. It's best suited for swing trading or identifying key turning points on higher timeframes.
Multi-TF Buy Low Sell High (based on coinrule)This strategy based on idea from Coinrule:
help.coinrule.com
ENTRY
To capture the strength behind the reversal on the asset, the strategy requires that MA50 be lower than the current market price. To capture a contrarian opportunity on the asset, the rule requires that RSI be lower than 35 on a higher timeframe.
The rule places the order when both conditions above are met. The buy order only ends up being placed on assets when it seems they are leaving the "oversold" status on the RSI.
EXIT
This strategy comes with a conditional stop loss and a target take profit.
The engine only engages the stop loss if, as a whole, the rule is in a certain pre-defined loss. The rule checks the total cumulative PnL across all trades (open and closed) by that strategy, and if this is greater than the predefined amount, only then does it apply the stop loss logic. This way you can adapt the risk management of the strategy to the market, becoming more risk-averse when the market turns against you and become more risk-loving when you are trading in favourable market conditions.
Atlas 8 Currency Session Momentum (6H, London)This indicator calculates real-time currency strength for the 8 major currencies (USD, EUR, GBP, JPY, AUD, NZD, CAD, CHF) using a balanced multi-pair engine and a 6-hour momentum reset.
🔍 How it works
The indicator computes the relative strength of each currency by averaging the percentage change of 7 major cross-pairs for each currency.
A currency's value increases when pairs where it is the base appreciate, and decreases when pairs where it is the quote depreciate.
This creates a symmetric and stable strength calculation similar to institutional relative-value models.
🕒 Session-based Momentum Reset
The global trading day is split into 4 × 6-hour blocks:
• 00:00–06:00 Tokyo
• 06:00–12:00 London
• 12:00–18:00 New York
• 18:00–24:00 Late US/Asia pre-open
At each new 6-hour session, all strength lines reset to 0.
This highlights fresh intraday momentum generated by liquidity transitions between sessions.
🎯 What the indicator shows
• Relative strength of all 8 currencies
• Smooth momentum curves using EMA smoothing
• Vertical dividers at each new session
• Background color for each session
• Real intraday build-up of strength/weakness (not cumulative from previous day)
This tool is designed for intraday traders who follow cross-currency momentum during session transitions (Tokyo → London → NY).
🧭 How to use it
• Look for the strongest vs weakest currency after each session reset
• Identify fresh trends during London and NY opens
• Confirm currency-pair bias using strength divergence
• Track momentum exhaustion when lines flatten or converge
BHUVANA Fib 50–61.8 • Turn Alerts when FIB directions change
Detects step-up / step-down on both Fib 50 & 61.8 (your “stairs” logic).
Triggers BUY/SELL on that slope change (optionally also requires price to be above/below the line).Spot volatility compression around the 50%–61.8% Fibonacci mid-band of the current swing, then trade the first expansion with clean, rules-based entries and auto SL references.
Swing mapping: Finds the active high/low over a user-defined lookback and computes Fib 50% and Fib 61.8%.
Squeeze detection: Measures the distance between 50% and 61.8%. If the band width is ≤ (ATR × multiplier), the zone is flagged as a Squeeze.
Breakout entries (on close):
Long when price crosses up through 50% while squeezed.
Short when price crosses down through 61.8% while squeezed.
Risk framework: Auto-plots stop lines from the signal bar:
Long SL = swing low; Short SL = swing high.
Visuals: Fib lines (50/61.8) + optional yellow zone highlight during squeeze.
Signals evaluate on bar close (no forward-looking data).
Works well on XAUUSD / US30 intraday (5–15m) during London/NY sessions.
Add your own alertcondition() lines if you want push alerts on Long/Short entries.
