[NG] Indicator - Altcoin Alpha - v1(Created for Client)
Alpha (Unique price action of asset) indicator for ALTcoins implementation, taking `BINANCE:BTCUSDT` as the market reference. Can be improved by adding more BTC charts from more sources, so as to get a unified chart of BTC for market representation.
Set `alpha period` to a value, wherein you want to see the unique price action of the asset. For short term trend, a value of 24 is good for `1H` charts (1 day), and value of 168 is good for long term trends on `1H` charts (1 week trend).
Corresponding values of `beta period` should be `168` (1 week for 1 day alpha) and `720` (1 month for 1 week alpha period).
You can set `alpha` and `beta` period as per your requirements.
Regards,
Recherche dans les scripts pour "btc股市下跌"
TSP Volume Change Big Small// Better Display of Volume change
// green candle : Big volume change
// red Candle : Small volume change
// Default for BTC m5
// Big volume are limited up to $limup% 5%
// Pump : Volume over $limgreen% 2%
// Flat : Very Small Volume under $limdo% 0.2%
// Adjust based on volatility / TF
// BTC/USD 1h : 4,2,0.25
Quote asset VolumeVolume expressed in quote asset units. For pair DOGE/BTC the volume is shown in BTC, instead of DOGE.
Values are imprecise, because each candle's price is calculated as (O+H+L+C)/4, instead of a weighted average one, which I couldn't obtain.
Noro's Trend MAs Strategy v1.8Trade strategy which uses only 2 MA.
The slow MA (blue) is used for definition of a trend
The fast MA (red) is used for an entrance to the transaction
For:
- For H1
- For crypto/fiat or crypto/crypto
- Good for "BTC/USD", "ETH/USD", "ETH/BTC"
Recomended:
Long = true (if it is profitable as a result of backtests)
Short = true (if it is profitable as a result of backtests)
Stops = false
Stop, % = any
OHLC4 = any
Use Fast MA = true
Fast MA Period = 5
Slow MA Period = 21
Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat" or 0 for "crypto/crypto")
In the new version 1.8
- The second PriceChannel is added
- Profit became more
- Losses became less
- The unnecessary types of MA are removed
Bitcoin momentum correlation This is a pretty simple indicator, it measures the momentum of bitcoin as compared to usd,eur,eth,dash, and ltc, which you can see in all of the blue lines. If the red line is above zero then it means the overall value of btc is going up, opposite for down. The Ema_window controls how smooth the signal is. If you shorten the Ema_window parameter and open this on higher timeframe btc charts then the zero crossing gives pretty solid signals, despite being pretty choppy. A good way to interpret this is that if all the blue lines are moving in the same direction at once without disagreement, then the value of bitcoin has good momentum.
Mildly more technically:
Momentum is measured in the first derivative of an EMA for each ticker. To normalize the different values against each other they are all divided by their local maximums, which can be chosen in the parameter window, but shouldn't make a huge difference. All the checked values are then summed, as shown in the red line. To include a value into the red line simply keep it checked. Take a look at the script, it's kind of easy on the eyes.
It's pretty handy to look at, but doesn't seem too worthwhile to pursue much further. If someone wants much more out of the script then feel free to message me.
Remember rules #1 & #2
Don't lose money.
Happy trading
RSI+BSIThis script simply plots the current instruments RSI as well as Bitcoin's RSI from bitfinex. Helpful to identify when an alt is performing stronger than BTC or if BTC is dragging the alt down.
Volume Conversion IndicatorVolume Conversion Indicator
The volume conversion indicator is much like the in-built volume indicator. This particular volume indicator allows you to find out how much of something has been traded in a given timeframe.
This is done by multiplying volume by the average price at that point.
What does this mean?
Well, say, for example, you were watching DGB/BTC (DigiByte/Bitcoin). Instead of the volume being displayed in the amount of DGB traded, the amount of BTC traded is displayed instead.
Feel free to comment... Hope this helps :D
Indicator: Schaff Trend Cycle (STC)Another new indicator for TV community :)
STC detects up and down trends long before the MACD. It does this by using the same exponential moving averages (EMAs), but adds a cycle component to factor instrument cycle trends. STC gives more accuracy and reliability than the MACD.
More info: www.investopedia.com
Feel free to "Make mine" this chart and use the indicator in your charts. Appreciate any feedback on how effective this is for your instrument (I have tested this only with BTC).
For people trading BTC:
-------------------------------
Try 3/10 or 9/30 for MACD (fastLength/slowLength). They seem to catch the cycles better than the defaults. :)
Trading Sessions with Holidays & Timer🌍 Trading Sessions Matter
Markets breathe in cycles. When Tokyo, London, or New York steps in, liquidity shifts and price often reacts fast.
Example: New York closed BTC at $110K, and when traders woke up, the price was already $113K. That gap says everything about overnight pressure and the next move.
⚡ Indicator Features
✅ Session boxes (Tokyo, London, NY) with custom colors & time zones
✅ Open/close lines → spot gaps & momentum
✅ Average price per session → see where pressure builds
✅ Tick range → quick volatility check
✅ 🏖 Holiday markers → avoid false quiet markets
✅ Live status table → session OPEN / CLOSED + countdown timer
🚀 How to Use
Works on intraday timeframes (1m–4h)
Watch session opens/closes → liquidity shift points
Compare ranges & averages between Tokyo, London, NY
Use the timer to prep before the next wave
This tool helps you visualize the heartbeat of global markets session by session.
🔖 #BTCUSDT #Forex #TradingSessions #Crypto #DayTrading
Sniper Swing — Short TF (Clean Signals) [v6]📘 How to Use the Sniper Swing Indicator
1. What It Does
It looks for short-term swing breaks in price.
It uses an oscillator (RSI/Stoch) and swing pivots to confirm moves.
It gives you 3 clear signals only:
BUY → Enter long (expecting price to go up).
Gay bear → Enter short (expecting price to go down).
EXIT → Close your trade (long or short).
Candles also change color:
Green = in a BUY trade.
Red = in a Gay bear trade.
Neutral (gray/none) = no trade.
2. When to Use
Works best on short timeframes (1m–5m) for scalping/intraday.
Use on liquid markets (MES/ES, NQ, SPY, BTC, ETH).
Avoid dead hours with no volume (like overnight futures lull or midday chop).
3. How to Trade With It
A. BUY trade
Wait for a BUY triangle below the candle.
Confirm:
Candle turned green.
Price broke a recent swing high.
Oscillator shows strength (indicator does this for you).
Enter long at the close of that candle.
Place your stop-loss:
At the yellow stop line (auto trailing stop), or
Just below the last swing low.
Stay in while candles are green.
Exit when:
An orange X appears, or
Price hits your stop.
B. Gay bear (short) trade
Wait for a Gay bear triangle above the candle.
Confirm:
Candle turned red.
Price broke a recent swing low.
Oscillator shows weakness.
Enter short at the close of that candle.
Place stop-loss:
At the yellow stop line, or
Just above the last swing high.
Stay in while candles are red.
Exit on an orange X or stop hit.
4. Pro Tips for New Traders
Only take one signal at a time → don’t double dip.
Quality > Quantity: ignore weak, sideways markets. Best signals happen during trends.
Start small: trade micros (MES) or small position sizes.
Use alerts: set TradingView alerts for BUY/Gay bear/EXIT so you don’t miss setups.
Think of the indicator like a navigator: it tells you the likely path, but you’re the driver → always manage risk.
5. Quick Mental Checklist
Signal? (BUY or Gay bear triangle)
Confirmed? (candle color + swing break)
Enter? (on close)
Stop? (yellow line or swing)
Exit? (orange X or stop)
Sinyal Gabungan Lengkap (TWAP + Vol + Waktu)Sinyal Gabungan Lengkap (TWAP + Vol + Waktu) volume btc dan total3 dan ema
On-Chain Metrics & Z-Mode SelectionThis indicator provides an on-chain metric analysis framework for cryptocurrencies (currently limited to) BTC and ETH; allowing users to select from popular metrics such as SOPR, Profit Addresses %, NUPL, or MVRV.
It enables various analyses on the chosen metric to capture momentum and rate of change dynamics over time.
Analyses include:
Normalization techniques utilizing Mean or Median with standard deviation, as well as a 'Robust' method using interquartile range-based Z-scoring to accommodate skewed distributions, or raw values without normalization.
An optional differential calculation that highlights the rate of change (first derivative) of the metric.
Moving average smoothing with up to two passes, supporting EMA, SMA, or WMA types.
Optional sigmoid-based compression that scales and centers the indicator output, improving interpretability, mitigating extreme outliers, and allowing the user to scale the output so that the step size or increment of the long and short thresholds remains within a workable range.
Buy and sell signals are generated based on configurable long and short thresholds applied to the processed output.
Visual components such as trend colouring, threshold lines, background shading, and labels make it simple for traders to identify entry signals.
This indicator is suitable for those looking to integrate blockchain behavioral insights into their trading decisions.
Overall, this script transforms complex on-chain data into actionable trade signals by combining adaptive normalization and smoothing techniques. Its versatility and multi-metric support make it a valuable tool for both market monitoring and strategy development.
No financial decisions should be made based solely on this indicator. Always conduct your own research. .
Acknowledgements
Inspiration drawn from: CipherDecoded
ICT FVG Buy/Sell SignalsThis bot is built on ICT (Inner Circle Trader) concepts such as:
Fair Value Gaps (FVGs) – imbalance zones between candles.
Consequent Encroachment (CE) – the midpoint of a gap.
Premium / Discount Arrays – dealing ranges split into premium (sell-side) and discount (buy-side) zones.
Displacement candles – strong impulsive moves that confirm intent.
The bot scans for FVGs, marks CE levels, and waits for price to return to these levels.
When price revisits a valid FVG zone with displacement confirmation and in the correct PD array, the bot generates a BUY or SELL signal.
✅ Signal Rules
Buy Signal
Price trades back into a Bullish FVG.
Current bar shows bullish displacement (large bullish body relative to ATR).
Price is in discount territory of the current dealing range (if PD filter is enabled).
Close is above the CE line of the FVG.
Sell Signal
Price trades back into a Bearish FVG.
Current bar shows bearish displacement.
Price is in premium territory of the current dealing range.
Close is below the CE line of the FVG.
🎯 What You’ll See on the Chart
Green “BUY” labels below candles when long signals trigger.
Red “SELL” labels above candles when short signals trigger.
Shaded background:
Red = Premium zone (sell side).
Teal = Discount zone (buy side).
Yellow line = dealing range midpoint (equilibrium).
Dots on CE lines = midpoints of the latest bullish/bearish FVG.
🔔 Alerts
ICT Buy → Triggers when a bullish setup confirms.
ICT Sell → Triggers when a bearish setup confirms.
You can connect these alerts to:
TradingView notifications.
Webhooks (for brokers or bots like MetaTrader, NinjaTrader, or Discord).
⚙️ Settings
Swing length – how many bars to use when detecting swing highs/lows for the dealing range.
Use PD filter – toggle ON/OFF for requiring discount/premium alignment.
Displacement ATR multiple – how strong the candle body must be compared to ATR to count as a displacement.
ATR length – used for displacement filter.
📈 Supported Markets
Works on all symbols and timeframes.
Commonly applied to:
NASDAQ (NQ, QQQ)
S&P500 (ES, SPX, SPY)
Forex pairs
Crypto (BTC, ETH, etc.)
⚠️ Disclaimer
This bot is for educational purposes only. It does not guarantee profits and should be tested on demo accounts first.
Always apply proper risk management before trading live.
Aggregated Multi-Exchange Delta Volume Histogram (w ADMF)This indicator is multi-exchange aggregated volume with additional ATR-based length ADMF EMA (orange/green line).
It has pre-defined ticker list for BTC, ETH and SOL but feel free to use settings to add a multi-exchange ticker list for any other ticker.
Sinyal Dominasi Volatilitas (dengan Alarm)sinyal perbandingan btc dan total3 perbedaan yang signifikan di candle TF15 menit
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose
It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts).
Core idea (two timeframes)
Define the trading range on a higher timeframe (HTF)
You choose the HTF (e.g., 15m or 1h).
The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support.
It also calculates the midline (average of support/resistance).
Trade signals on your lower timeframe (LTF)
You run the strategy on a fast chart (e.g., 1m or 5m).
Entries are only allowed inside the HTF range.
Entry logic (mean reversion)
Indicators on the LTF:
Bollinger Bands (length & std dev configurable).
RSI (length & thresholds configurable).
Optional VWAP proximity filter (price must be within X% of VWAP).
Long setup:
Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled).
Short setup:
Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled).
Exits and risk
Stop-loss: placed just outside the HTF range with a configurable buffer %:
Long SL = HTF Support × (1 − buffer).
Short SL = HTF Resistance × (1 + buffer).
Take-profit (selectable):
Mid band (the Bollinger basis) → conservative, faster exits.
Opposite band / HTF boundary → more aggressive, higher RR but more give-backs.
Position sizing
A simple cap: maximum position size = percent of account equity (e.g., 20%).
The script calculates quantity from that cap and current price.
Plots you’ll see on the chart
HTF Resistance (red) and HTF Support (green) via plot().
HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed).
Bollinger basis/upper/lower on the LTF.
Optional VWAP line (only shown if you enable the filter).
Signal markers (green triangle up for Long setups, red triangle down for Short setups).
Alerts
Two alertconditions:
“Long Setup” – when a long entry condition appears.
“Short Setup” – when a short entry condition appears.
Create alerts from these to get notified in real time.
How to use it (quick start)
Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL).
Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h).
Keep default Bollinger/RSI first; tune later.
Choose TP mode:
“Mid band” for quick scalps.
“Opposite band/Range” if the range is very clean and you want bigger targets.
Set SL buffer (0.15–0.30% is common; adjust for volatility).
Set Max position % to control size (e.g., 20%).
(Optional) Enable VWAP filter to skip stretched moves.
When it works best
Clearly sideways markets with visible support/resistance on the HTF.
High-liquidity pairs where spreads/fees are small relative to your scalp target.
Limitations & safety notes
True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast.
Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs.
Backtest results vary by exchange data; always forward-test on small size.
If you want, I can:
Add an ATR-based stop/target option.
Provide a study-only version (signals/alerts, no trading engine).
Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align.
Core Concept
Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments.
Trend Structure (EMA 9, 21, 50, 200)
Short-term EMAs (9 & 21) detect immediate momentum shifts.
Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance.
Momentum & Confirmation Layer
RSI measures relative strength and market conditions.
MACD crossovers confirm momentum shifts and trend continuations.
Volatility & Market Pressure
TTM Squeeze highlights compression zones likely to precede breakouts.
Volume analysis confirms conviction behind directional moves.
VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks.
Price Action Filters
Fibonacci retracements are integrated to identify key reversal and continuation levels.
Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets.
Features
Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins).
Works effectively on swing and trend-based timeframes (1H–1D).
Combines trend, momentum, volatility, and price action into a single framework.
Generates clear Buy/Sell markers and integrates with TradingView alerts.
How to Use
Apply to a clean chart for the clearest visualization.
Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation.
Combine with your own stop-loss, take-profit, and position sizing rules.
Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results.
Disclaimer
Swing Z is designed as a decision-support tool, not financial advice.
All backtesting should use realistic risk, commission, and slippage assumptions.
Past results do not guarantee future performance.
Signals do not repaint but may adjust as new data develops in real-time.
Why Swing Z is original & useful:
Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Swing Z – Crypto Trading Algorithm | Zillennial Technologies IncSwing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align.
Core Concept
Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments.
Trend Structure (EMA 9, 21, 50, 200)
Short-term EMAs (9 & 21) detect immediate momentum shifts.
Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance.
Momentum & Confirmation Layer
RSI measures relative strength and market conditions.
MACD crossovers confirm momentum shifts and trend continuations.
Volatility & Market Pressure
TTM Squeeze highlights compression zones likely to precede breakouts.
Volume analysis confirms conviction behind directional moves.
VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks.
Price Action Filters
Fibonacci retracements are integrated to identify key reversal and continuation levels.
Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets.
Features
Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins).
Works effectively on swing and trend-based timeframes (1H–1D).
Combines trend, momentum, volatility, and price action into a single framework.
Generates clear Buy/Sell markers and integrates with TradingView alerts.
How to Use
Apply to a clean chart for the clearest visualization.
Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation.
Combine with your own stop-loss, take-profit, and position sizing rules.
Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results.
Disclaimer
Swing Z is designed as a decision-support tool, not financial advice.
All backtesting should use realistic risk, commission, and slippage assumptions.
Past results do not guarantee future performance.
Signals do not repaint but may adjust as new data develops in real-time.
Why Swing Z is original & useful:
Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Justin's Bitcoin Power Law PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. Using the formula Price = A * (daysSinceGenesis)^B, it calculates fair, upper, and floor prices with constants A_fair = 1.16e-17, A_floor = 0.42e-17, and B = 5.82, starting from Bitcoin’s genesis (January 3, 2009). The script plots these prices, displays values in a table.
Source: www.ccn.com
Justin's MSTR Powerlaw Price PredictorJustin's MSTR Powerlaw Price Predictor is a Pine Script v6 indicator for TradingView that adapts Giovanni Santostasi’s Bitcoin power law model to forecast MicroStrategy (MSTR) stock prices. The price prediction is based on the the formula published in this article:
www.ccn.com
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy
The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins.
This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend.
Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy.
It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model.
✅ Why did I choose OTHERS.D and MEME.D as reference indices?
I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins.
🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap.
This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins.
🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins.
A rising OTHERS.D often signals the start of broader altcoin rallies.
🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity.
It's perfect for timing momentum shifts in high-risk, high-reward tokens.
By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior.
📐 How It Works — Core Logic and Execution Model
At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index.
A trade is only executed when both EMA crossovers agree on the direction. For example:
Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA
Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA
You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy.
Additionally, the strategy includes:
- Adaptive position sizing, based on fixed capital or current equity (compound mode)
- Take Profit and Stop Loss in percentage terms
- Smart partial exits when trend momentum fades
- Date filtering for precise backtesting over specific timeframes
- Real-time performance stats, equity tracking, and visual cues on chart
⚙️ Parameters & Customization
🔁 EMA Settings
Each EMA pair is customizable:
Coin Fast EMA: Default = 47
Coin Slow EMA: Default = 50
Index Fast EMA: Default = 47
Index Slow EMA: Default = 50
These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive.
🧭 Index Reference
The correlation mechanism uses CryptoCap sector dominance indexes:
OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones
MEME.D: Dominance of all Meme coins
These are dynamically calculated using:
OTHERS_D = OTHERS_cap / TOTAL_cap * 100
MEME_D = MEME_cap / TOTAL_cap * 100
You can select:
Reference Index: OTHERS.D or MEME.D
Or disable the index reference completely (Don't Use Index Reference)
💰 Position Sizing & Risk Management
Two capital allocation models are supported:
- Fixed % of initial capital (default)
- Compound profits, which scales positions as equity grows
Settings:
- Compound profits?: true/false
- % of equity: Between 1% and 200% (default = 10%)
This is critical for users who want to balance growth with risk.
🎯 Take Profit / Stop Loss
Customizable thresholds determine automatic exits:
- TakeProfit: Default = 99999 (disabled)
- StopLoss: Default = 5 (%)
These exits are percentage-based and operate off the entry price vs. current close.
📉 Trend Weakening Exit (Scale Out)
If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position:
- Scale Position on Weak Trend?: true/false
- Scaled Percentage: % to close (default = 65%)
This feature is useful for preserving profits without exiting completely.
📆 Date Filter
Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets):
- Filter Date Range of Backtest: ON/OFF
- Start Date and End Date: Custom time range
OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab):
- Initial Capital is set to 100 USD
- Commission is set to 0.055% (The ones I have on Bybit)
- Slippage is set to 3 ticks
- Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation
📊 Visual Feedback and Debug Tools
📈 EMA Trend Visualization
The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend:
Lime: Coin and index both bullish
Teal: Only coin bullish
Maroon: Only index bullish
Red: Both bearish
This allows for immediate visual confirmation of current trend strength.
💬 Real-Time PnL Labels
When a trade closes, a label shows:
Previous trade return in % (first value is the effective PL)
Green background for profit, Red for losses.
📑 Summary Table Overlay
This table appears in a corner of the chart (user-defined) and shows live performance data including:
Trade direction (yellow long, purple short)
Emojis: 💚 for current profit, 😡 for current loss
Total number of trades
Win rate
Max drawdown
Duration in days
Current trade profit/loss (absolute and %)
Cumulative PnL (absolute and %)
APR (Annualized Percentage Return)
Each metric is color-coded:
Green for strong results
Yellow/orange for average
Red/maroon for poor performance
You can select where this appears:
Top Left
Top Right
Bottom Left
Bottom Right (default)
📚 Interpretation of Key Metrics
Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”)
Net Profit: Total gains including open positions
Max Drawdown: Largest peak-to-valley drop in strategy equity
APR: Annualized return calculated based on equity growth and days elapsed
Win Rate: % of profitable trades
PnL %: Percentage profit on the most recent trade
🧠 Advanced Logic & Safety Features
🛑 “Don’t Re-Enter” Filter
If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets.
🧷 Equity Protection
No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical.
Keep in mind that past results in no way guarantee future performance.
Eddie Bitcoin
Simple Liquidity Zones [Supertrade]🔎 What this indicator does
This indicator is designed to highlight liquidity sweep zones on the chart.
• A liquidity sweep occurs when price briefly breaks above a recent swing high or below a recent swing low, but fails to close beyond it.
• Such behavior often indicates that price has taken liquidity (stop orders resting above highs or below lows) and may reverse.
The indicator marks these events as bullish or bearish liquidity zones:
• Bullish Zone (green) → Price swept a swing low and closed back above it (possible bullish reversal area).
• Bearish Zone (red) → Price swept a swing high and closed back below it (possible bearish reversal area).
These zones are drawn as shaded horizontal bands that extend forward in time, providing visual areas where liquidity grabs occurred.
________________________________________
⚙️ How calculations are made
The indicator does not use moving averages or smoothing.
Instead, it works with raw price action:
1. Swing Detection → It checks the highest high and lowest low of the past N bars (swing length).
2. Sweep Logic →
o A bearish sweep happens if the high breaks above the previous swing high, but the close returns below that level.
o A bullish sweep happens if the low breaks below the previous swing low, but the close returns above that level.
3. Zone Creation → When a sweep is detected, a shaded zone is drawn just above/below the swing level.
4. Persistence → Zones extend into the future until replaced by new ones (or optionally until price fully trades through them).
This makes the calculations simple, transparent, and responsive to actual market structure without lag.
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📈 How it helps traders
This tool helps traders by:
• Visualizing liquidity areas → Shows where price previously swept liquidity and may act as support/resistance.
• Identifying reversals → Helps spot potential turning points after liquidity grabs.
• Risk management → Zones highlight areas where stops may be targeted, useful for positioning stop-loss orders.
• Confluence tool → Works best when combined with other strategies such as order blocks, trendlines, or volume analysis.
⚠️ Note: Like all indicators, this should not be used in isolation. It provides context, not guaranteed trade signals.
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🏦 Markets & Timeframes
• Works across all markets (crypto, forex, stocks, indices, commodities).
• Particularly effective in high-liquidity environments where stop-hunting is common (e.g., forex majors, BTC/ETH, S&P500).
• Timeframes:
o Lower timeframes (1m–15m) → Scalpers can spot intraday liquidity sweeps.
o Higher timeframes (1H–1D) → Swing traders can identify major liquidity pools.
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Justin's Bitcoin Power Law Predictor (Santostasi Model)This indicator uses the Powerlaw to predict the BTC price.