Nidnoi 89 TheoryNidnoi Morning Trading style
// This strategy is based on a reversal logic applied to the 8AM candle (Bangkok Time, UTC+7).
// The logic is:
// - If the 8AM candle is bullish (green), it indicates potential exhaustion — enter a SELL at the 9AM open.
// - If the 8AM candle is bearish (red), it suggests a possible bounce — enter a BUY at the 9AM open.
// All trades are closed at the 10AM open, limiting exposure to 1 hour.
//
// This strategy is designed for XAUUSD on a 1-hour chart and aligns with short-term intraday reversal patterns.
// The actual time used in code (UTC+7) is 9PM for the 8AM candle, and 10PM for the exit at 10AM.
//
// Highlights are shown on the 8AM candle for visual confirmation.
// Make sure your chart is set to 1H timeframe and uses XAUUSD.
Indicators and strategies
BTC 15m Range Breakout Strategy
This is a **BTC 15-minute Range Breakout Strategy** designed for Most Simple Bitcoin Trading Strategy | Bitcoin Trading Strategy | Theta Gainers
Here's a brief overview:
## Strategy Overview
**Core Concept**: The strategy identifies a narrow 15-minute range during low volatility and trades breakouts from that range.
**Key Components**:
- **Range Definition**: Creates a price range based on the high/low between 19:15-19:30 IST (Indian Standard Time)
- **Trading Session**: Operates from 19:00 to 05:30 IST (covers both Asian and early European sessions)
- **Entry Signals**:
- **Long**: When price breaks above the range high
- **Short**: When price breaks below the range low
- **Risk Management**: Uses the opposite range boundary as stop loss with a customizable risk-reward ratio (default 2:1)
**Logic**: This targets the common pattern where Bitcoin consolidates during low-volume periods, then breaks out with momentum as major trading sessions begin. The 19:15-19:30 IST window likely captures a quiet period before increased activity.
**Features**:
- Visual range box display
- Automatic alerts for entries/exits
- Session-based position management
- Only one position per session
- Positions close automatically at session end
The strategy is designed for systematic breakout trading with clear risk parameters and automated execution.
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MACD EMA + Time FilterStrategy Description: MACD EMA + Time Filter
This strategy combines MACD momentum, EMA trend filtering, and an optional time-based session filter (GMT+7) to generate high-probability trading signals. It is designed for intraday or short-term trading on small timeframes, and allows both Buy and Sell setups with fixed Risk-Reward (RR) control.
✅ Key Components:
EMA Filter: Uses a 21-period Exponential Moving Average (EMA) to determine the trend direction.
MACD Confirmation: Entries are confirmed using MACD crossover signals with customizable fast, slow, and signal periods.
Time Filter: Trades are only taken during a defined session (e.g., 19:00–22:00 GMT+7), ideal for high-liquidity trading hours.
RR Management: Entry signals include automatic Stop Loss (SL) and Take Profit (TP) levels, based on a pip buffer and RR multiplier.
Custom Options:
Enable/disable Buy or Sell signals
Show/hide SL/TP labels
Optionally display EMA on chart
거래량 지표 전략 (최종)"Leverage 100x, 10% of capital committed, 0.3% profit target, 0.2% stop loss."
레버리지 100배 이용, 10프로 자본금 투입, 0.3프로 수익 , 0.2프로 손해
"Volume Indicator Strategy (Final)" Summary
This Pine Script strategy is designed to integrate volume data from multiple cryptocurrency exchanges (Binance, Bitget, OKX, Bybit) across spot and futures markets. It then uses this consolidated volume data to identify volume spikes and apply an RSI filter to generate buy/sell signals.
Key Features and Logic:
Multi-Exchange/Asset Volume Consolidation:
Based on user settings, it fetches and sums up spot and perpetual futures volume data from Binance, Bitget, OKX, and Bybit.
It uses the request.security function to query volume data from each specified exchange.
NA (Not Available) data points are safely handled and treated as 0 to prevent calculation errors.
Volume Spike Detection:
It calculates the Simple Moving Average (avg_volume) of the combined_volume over a lookback period (default 70 bars).
A vol_7x condition is met when the combined_volume is equal to or greater than 7 times (vol_multiplier_7x, user-configurable) the avg_volume.
RSI Filter (Optional):
An RSI (Relative Strength Index) filter (enable_rsi_filter, user-configurable) can be applied in conjunction with the volume spike condition.
Short Entry Condition: vol_7x (volume spike) & price_up (current bar's close is higher than the previous close) & RSI is 73 or greater (if filter is enabled).
Long Entry Condition: vol_7x (volume spike) & price_down (current bar's close is lower than the previous close) & RSI is 28 or less (if filter is enabled).
Strategy Entry/Exit:
When entry conditions are met, the strategy enters a position at market price.
It includes a re-entry cooldown period (default 10 bars) to prevent immediate re-entry in the same direction.
Fixed Take Profit and Stop Loss percentages (0.3% Take Profit, 0.2% Stop Loss) are set to manage open positions.
Visualization:
The combined_volume is plotted as columns (plot.style_columns) in a lower pane, changing color when the 7x volume spike condition is met.
The avg_volume is plotted as a line.
Volume values on the plot (and intended for the Y-axis scale) are formatted using format=format.volume to display in K (thousands), M (millions), B (billions) units.
The chart background color changes to indicate RSI overbought (>= 70, red) and oversold (<= 30, blue) zones.
Labels are displayed on the chart for individual trade P/L (Profit/Loss), and an info panel shows the total P/L over a user-defined period.
This strategy aims to capture significant market movements by aggregating volume data across various sources and combining it with price action and momentum (RSI) analysis to generate automated trading signals.
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"거래량 지표 전략 (최종)" 요약
이 전략은 여러 암호화폐 거래소(바이낸스, 비트겟, OKX, 바이비트)의 현물(Spot) 및 선물(Futures) 거래량 데이터를 통합하여 사용하는 것을 핵심으로 합니다. 통합된 거래량 데이터를 바탕으로 거래량 급등을 포착하고 RSI 필터를 적용하여 매수/매도 신호를 생성하는 전략입니다.
주요 기능 및 로직:
다중 거래소/자산 거래량 통합:
사용자 설정에 따라 바이낸스, 비트겟, OKX, 바이비트의 현물 및 선물(무기한) 거래량을 개별적으로 가져와 합산합니다.
request.security 함수를 사용하여 각 거래소의 거래량 데이터를 요청합니다.
데이터가 없는 경우(NA)는 0으로 처리하여 계산 오류를 방지합니다.
거래량 급등 감지:
통합된 거래량(combined_volume)의 lookback 기간(기본 70봉) 이동평균(avg_volume)을 계산합니다.
combined_volume이 avg_volume의 7배(vol_multiplier_7x, 사용자 설정 가능) 이상으로 급등하면 vol_7x 조건을 만족합니다.
RSI 필터 (옵션):
거래량 급등 조건과 함께 RSI(상대 강도 지수) 필터(enable_rsi_filter, 사용자 설정 가능)를 적용할 수 있습니다.
매도(Short) 진입 조건: vol_7x (거래량 급등) & price_up (현재 봉 종가가 이전 봉보다 상승) & RSI가 73 이상일 때.
매수(Long) 진입 조건: vol_7x (거래량 급등) & price_down (현재 봉 종가가 이전 봉보다 하락) & RSI가 28 이하일 때.
전략 진입/청산:
위 진입 조건이 충족되면 시장가로 포지션에 진입합니다.
동일 방향으로 10봉 이내 재진입을 제한합니다.
고정 익절(Take Profit) 및 손절(Stop Loss) 비율(각각 0.3%, 0.2%)을 설정하여 포지션을 관리합니다.
시각화:
통합 거래량(combined_volume)은 차트 하단에 막대그래프(plot.style_columns)로 표시되며, 7배 급등 시 색상이 변경됩니다.
평균 거래량(avg_volume)은 선으로 표시됩니다.
거래량 값은 format=format.volume을 사용하여 K(천), M(백만), B(십억) 단위로 간소화되어 표시됩니다.
차트 배경색으로 RSI 과매수(70 이상, 빨간색) 및 과매도(30 이하, 파란색) 구간을 시각적으로 표시합니다.
개별 거래의 P/L(손익) 라벨과 지정된 기간 동안의 총 P/L을 차트 상단에 표시합니다.
이 전략은 여러 거래소의 거래량 데이터를 취합하여 시장의 전반적인 거래 활동을 파악하고, 이를 바탕으로 특정 패턴(거래량 급등 + 가격 방향 + RSI 필터)에 따라 매매 결정을 내리도록 설계되었습니다.
High Accuracy Scalping StrategyHigh Accuracy Scalping Strategy
Overview
This strategy is designed for scalping on lower timeframes (e.g., 1-5 minutes) in volatile markets like forex, crypto, or indices. It generates buy and sell signals based on a combination of momentum, volatility, and overbought/oversold conditions to identify high-probability entry points for quick trades. The strategy incorporates adaptive risk management using ATR-based stop-loss (SL) and take-profit (TP) levels, ensuring exits are dynamically adjusted to market volatility rather than fixed pips or percentages. An optional EMA filter can be enabled to add trend alignment, reducing whipsaws in ranging markets.Why Multi-Indicator Approach?Combining multiple indicators is essential here to create a robust signal generation system that filters out noise and improves accuracy in fast-moving scalping environments. Each indicator serves a complementary role:
RSI (Relative Strength Index) : Measures momentum and identifies oversold (for buys) or overbought (for sells) conditions, helping spot potential reversals.
Stochastic Oscillator : Provides additional momentum confirmation through %K and %D crossovers, focusing on short-term price extremes while being smoothed to avoid erratic signals.
Bollinger Bands : Adds a volatility layer by comparing price to dynamic bands (based on standard deviation), signaling entries when price touches the lower band (potential buy) or upper band (potential sell).
ATR (Average True Range): Used exclusively for exits, it calculates SL and TP based on recent volatility, ensuring risk-reward ratios (customizable via inputs) adapt to the asset's behavior rather than static values.
Optional EMA (Exponential Moving Average): Acts as a trend filter to ensure entries align with the short-term direction (e.g., buys only above EMA), preventing counter-trend trades.
These components work synergistically : RSI and Stochastic provide dual momentum confirmation to validate overbought/oversold states, while Bollinger Bands add volatility context to avoid entries in low-volatility squeezes. The EMA filter (disabled by default for broader signal generation) overlays a trend bias, and ATR ensures exits are practical and volatility-aware. This mashup reduces false positives common in single-indicator strategies (e.g., RSI alone might signal in a strong trend), leading to higher win rates in backtesting on scalping setups. The combination draws from classic technical analysis but is tuned for scalping with shorter default lengths and crossover logic, making it original in its integrated, adaptive design rather than a simple overlay of unrelated tools.
How It Works
Buy Signal : Triggered when RSI is oversold (<30 by default) OR price is at/ below the lower Bollinger Band, AND Stochastic %K crosses over %D while below the oversold level (20). If EMA filter is enabled, price must also be above the EMA.
Sell Signa l: Triggered when RSI is overbought (>70) OR price is at/above the upper Bollinger Band, AND Stochastic %K crosses under %D while above the overbought level (80). If EMA filter is enabled, price must be below the EMA.
Entries : Long on buy, short on sell, using a percentage of equity (default 100%) for position sizing.
Exits : For longs, SL at entry price minus (ATR * SL RR, default 1.0), TP at entry plus (ATR * TP RR, default 2.0). Opposite for shorts. This creates a favorable risk-reward asymmetry.
Visuals : Green triangle below bar for buys, red above for sells. Blue EMA line plotted for reference.
The strategy is backtest-ready with initial capital of $1000 and USD currency, but results vary by asset and timeframe—always forward-test.How to UseAdd to chart and customize inputs: Adjust RSI/Stochastic/BB lengths for your timeframe (shorter for scalping), tweak overbought/oversold levels, or enable EMA filter for trending markets.
Best on liquid assets with volatility (e.g., BTC/USD, EUR/USD). Use on 1-15min charts for scalping.
Monitor signals visually or via alerts. Combine with manual discretion for news events.
Risk management: Start with small position sizes; the ATR-based exits help preserve capital.
This script is original in its tuned parameter defaults, optional filter integration, and focus on scalping synergy, differentiating it from generic multi-indicator scripts by emphasizing adaptive volatility handling and reduced false signals through cross-confirmation.
TradingWeapon#pure price action
#custom candlestick
#custom location
#support resistance
#liquidity
#best strategy
#without using any types of mathematical lagging indicator
GOLD DR Long with ADX, TP2, ZLSMA & WAVE🎯 **GOLD DR** – An indicator that activates when most traders are still hesitating.
Built on advanced logic with a unique alignment to market cycles.
The algorithm draws inspiration from Elliott Wave theory, translating complex structures into clean, high-confidence signals.
📈 Real-time bullish divergence detection, precise entries, and planned exits — all directly on the chart.
⚠️ Not for the impatient.
For traders who understand that **timing** is the strongest voice in the market.
SIG PRINT + COMBO SIG PRINT + COMBO — Multi-Timeframe Trend & EMA Crossover Tool
This script combines EMA crossover logic with DMI-based trend analysis across multiple timeframes. It helps visualize directional trends (Bullish, Bearish, or No Clear Trend) on 5-minute, 15-minute, 30-minute, and 1-hour charts, displayed in a color-coded table overlay.
Key Components:
• EMA Strategy: Uses configurable short- and long-term EMAs to define crossover-based entry conditions.
• DMI Trend Detection: Implements ADX, +DI, and -DI to assess trend direction and strength.
• Multi-Timeframe Display: Shows trend signals for 5m, 15m, 30m, 1h, and current chart timeframe.
Built for users interested in aligning strategy entries with trend context across multiple timeframes.
⸻
@zaytradellc
GOLD DR Long with diamond & TP2 Exit האינדיקטור מזהה נקודת כניסה אידיאלית ל־LONG, פותח פוזיציה, קובע יעד רווח אוטומטי, מגן עם סטופלוס חכם, ומבצע מיצוע רק כשהתנאים בשלים – הכל קורה אוטומטית, בזמן אמת, על הגרף.
The indicator identifies an ideal LONG entry, opens a position, sets an automatic take-profit target, protects with a smart stop-loss, and averages in only when conditions are right – all fully automated, in real time, right on the chart.
ZYTX RSI SuperTrendZYTX RSI SuperTrend
ZYTX RSI + SuperTrend Strategy
The definitive integration of RSI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
FXG Go with The TrendThis Strategy Includes Entry With Volume, porbably where banks buys
Enter When its aligned with trend, Specifically for GOLD, not tested for other
ADX GatekeeperADX Gatekeeper is an original strategy that combines three classic filters to improve trend-following accuracy and avoid choppy markets.
Combines RSI, OBV, and ADX filters to catch stronger trends and avoid sideways markets. RSI confirms momentum extremes, OBV confirms volume flow, and ADX filters low-trend conditions. Fully configurable for different market conditions.
RSI Filter: Avoids overbought/oversold traps by requiring RSI < 35 for longs and > 70 for shorts.
OBV Filter: Confirms directional volume with positive OBV changes for longs and negative for shorts.
ADX Filter: Filters out low-volatility sideways conditions by requiring ADX above a configurable threshold (default 45).
The combined conditions aim to identify stronger trend moves while avoiding choppy markets. All filters can be toggled on or off for flexibility.
Default risk: 10% of equity per trade. Users can adjust this.
Ideal for trend traders looking to filter noise and improve entry quality.
tradingweapon#PurePriceAction
#TradeWithoutIndicator
Custom Candlestick Pattern
Buy and Sell On Custom Location
Best Semi Automatic Strategy
High Win Rate XAUUSD Strategy (EMA21 + RSI + Volume MA20)Buy Conditions:
Price above EMA 21
EMA 21 is rising
RSI > 55 and RSI increasing
Close is above EMA 21
Current candle is green (close > open)
Volume > MA20 of volume
Price below EMA 21
EMA 21 is falling
RSI < 45 and RSI decreasing
Close is below EMA 21
Current candle is red (close < open)
Volume > MA20 of volume
Ekoparaloji&Strategy1000 USDT
BNB Smart Chain (BEP20) usdt: 0x0abd7ec93ebf0d325f7d731ba2a128e12bf010d3
Contact ekoparaloji@gmail.com
Opens new long trades during gradual declines in volatility, uses TP with average price, and makes high-profit, high-risk trades.
Supertrend Strategy 1M1min supertrend
Uses Supertrend to define entry/exit
Enters long when trend flips to uptrend
Enters short when trend flips to downtrend
Uses strategy.exit with optional stop loss and take profit
Marcin Bitcoin📊 Core Logic and Conditions
✅ Entry Condition (Long):
Buy signal occurs when all of the following are true:
🔼 Uptrend — The centerline of the Gaussian filter (filt) is going up.
💥 Breakout — The current price is above the upper band of the Gaussian channel (close > hband).
⚡ Momentum — The Stochastic RSI %K is greater than 80, meaning the price is in a strong overbought zone (indicating strong momentum).
📅 Within the Date Range — The current bar is within the selected backtest window.
➡️ If all are true, the strategy enters a long position.
❌ Exit Condition (Close Position):
Sell signal (close position) occurs when:
The price crosses below the upper band (crossunder(close, hband))
Within the selected time window
➡️ This acts as a trailing stop — the position is held as long as the price stays above the breakout band.
🧠 Why It Might Work
The strategy tries to catch strong upward breakouts with high momentum.
It avoids chop and sideways moves by requiring:
Trend confirmation (filter rising),
Momentum confirmation (Stoch > 80),
Breakout (price > upper band)
Open Breakout Strategyfirst 5min candle
SL is 0.25% TP is 2.25%
If breks low it is hsort
If breaks hi then it is long
PC UpdatedThis indicator identifies a high-probability breakout setup using a simple but powerful 3-candle formation. It works on lower timeframes (like 5m) and is ideal for scalping or short-term intraday setups.
WaveSurfer StrategyThis is a quant trading strategy that can be used to automate your trading. The first thing you will see in the settings popup is blocks where text can be entered. You can enter your automated trading messages here that will be sent to your exchange or third party application. Check with them to identify exactly how the buy and sell text should be configured. Put this {{strategy.order.alert_message}} in the alert message box and it will pull the buy and sell text from these settings boxes.
This trading strategy is designed to trade cryptocurrencies on the 1 hour timeframe. Other timeframes can be used but this is where I have found success. It uses a fairly complex algorithm to determine Long Buy and Sell opportunities. Each assets settings need to be optimized using back testing due to differences in volatility, volume, and risk. I provide optimized settings for the coins I trade here . As with any trading strategy, no amount of gains can be guaranteed. There is always risk of taking losses. Do not trade more than you are willing to lose.
The backbone of the strategy uses Bollinger Bands to measure the market trend. Bollinger Band Width(BBW) moves in waves. Waves over 0.2 are considered strong movements. Bollinger Band Percent(BB%) is used to determine wave direction, Bullish or Bearish. The strategy calculates BBW Slope and it is critical in determining status of the Bullish or Bearish wave. For example, if a strong Bullish wave is above 0.2 and slope is positive, this means to hold as the wave continues to accumulate gains. When slope turns negative, it is a signal that the wave is ending and opens more opportunities for the strategy to sell. Under certain conditions the waves can be considered neutral, especially when BBW is under 0.2.
BBW waves are given a score -5 through 5. These scores are used throughout the strategy to determine which Buy and Sell limits to use. Here is what the scores mean:
0 = Neutral, 1->3 = Beginning of Bullish wave, 4 = Strong Bullish wave, 5 = End of Bullish wave
0 = Neutral, -1->-3 = Beginning of Bearish wave, -4 = Strong Bearish wave, -5 = End of Bearish wave
During each of these trends the strategy offers different buy and sell opportunities that can be configured in settings. Hull moving averages are used for determining Buy/Sell crossovers and the Phase of the trade. The Phase of a trade if telling the strategy which Sell limits to use to determine when to sell. Phase 1 represents Bearish trend sell limits, Phase 2 represents Neutral trend sell limits, and Phase 3 represents Bullish trend sell limits. For example, if a Buy is triggered during a Bear trend, the trade will start in Phase 1. As the price moves up to Neutral within the Bollinger Bands it will move to Phase 2 and sell limits will move up. If price continues to rise into Bullish BBW trend it will change to Phase 3 and use Sell limits that will allow price to grow while the wave remains bullish.
Bearish Buys: Bearish Buys are designed to buy at a low peak. It uses Bollinger Band Mid line slope(Generally below -0.3), BB% very low(Generally below 0.0), and the trigger is RSI crossing up around 25-30. There are three different types of Bear Buys but they are all slight variations of this same technique. Again, all these settings need to be optimized using back testing. A more volatile coin will drop lower and with more intensity than a more stable coin. All Bear Buys will start in phase 1 with tight stop loss limits to protect against further drops. If prices does not recover quickly and moves sideways the sell limit will adjust(typically moving up) with each low pivot(assuming it is still above the original low that triggered the buy). There are also emergency sell options that can be configured.
Neutral Buys: Neutral Buys trigger when the Hull Moving Average crosses above the Bollinger Bands mid-point, generally want to use around 0.6. There is an option to buy only when BBW is below 0.2, meaning weak trend/Neutral. Neutral Buys will start with Phase 3 Sell limits.
Bullish Buys: There are a few different Bullish Buy options but these can be risky due to false breakouts which can result in higher losses if price reverses and drops quickly. All Bullish Buys start with Phase 3 Sell limits. One type of Bullish Buy is Level breakout. The recent high is always calculated using the pivot function and is displayed on the screen with the thick red dotted line. If you are using the Level buy option it will buy when the price breaks above this high level for consecutive candles. But the best bullish Buy option is Cycle Buy Late. This will buy when cycle crosses above 2, into Bull trend 3 or 4.
These examples shows the gold sell line adjust during the pivot and the Phase changes. It maintains decent gain even as price fails to move up in Phase 3. The thin yellow line is a Cycle Sell option that sells during cycles 5(Wave ending) and 0(Neutral). All these limits can be adjusted in settings:
This example shows Phase 3 sell limits allowing price to grow. The thin yellow line is an additional sell line that is higher than standard sell in this example but only triggers when Cycle is 5(wave ending) or 0(Wave Neutral):
NASDAQ Liquidity Breaker Bot1. Define session time (7:20 PM – 7:40 PM BD time / 9:20–9:40 AM EST)
2. Detect 15M swing high/low zones
3. On 1M chart: Detect strong bullish/bearish break
4. Identify breaker candle zone
5. Trigger entry based on break + retest logic
6. Set SL and TP logic (dynamic if needed)
7. Plot everything visually (entries, exits, zones)