Trend Analysis
Heiken Ashi + Ichimoku Baseline ScalperHi
This a trend identification strategy. You can hold your trade as long as the signals are in your favor.
Davide - Breakout and Exit StrategyCatch powerful breakouts, ride the trend, and protect gains — all in one complete strategy.
Smart entries: Breakout confirmation with volume, candle strength, and gap detection (earnings bonus included).
Trend filter: Stay aligned with the Supertrend and 200 SMA.
Pro exits: Pivot-based reversal detection, optional MACD filter, trailing stops, and dynamic drawdown alerts.
Clean visuals & alerts: Instant signals for entries, exits, and risk thresholds.
Fully backtestable. Fully customizable.
RSI-Adaptive T3 [ChartPrime] — Strategy (Long Only, 1D)This trade has been successfully converted from an individual setup to a full strategy, and the results are truly outstanding. I’m currently testing this for Tesla options trading on the 1-day chart, and it appears to be working extremely well.
A special thanks to ChartPrime for creating such a beautifully designed indicator — it’s performing impressively in these tests.
If anyone would like to try it out, feel free to download and see the results for yourself. Thank you!
EEI Strategy — Greedy/Guarded v1.2Purpose
Day‑trading strategy (5‑min focus) that hunts “armed” setups (PRE) and confirms them (GO) with greedy-but‑guarded execution. It adapts to symbol type, trend strength, and how long it’s been since the last signal.
Core signals & regime
Trend/Regime: EMA‑200 (intraday bias), VWAP, and a non‑repainting HTF EMA (via request.security(...) ).
Momentum/Structure: Manual Wilder DMI/ADX, micro‑ribbon (EMA 8/21), Bollinger‑Keltner squeeze + “squeeze fire,” BOS (break of swing high/low), pullback to band.
Liquidity/Vol: RVOL vs SMA(volume) + a latch (keeps eligibility a few bars after the first spike).
Volatility: ATR + ATR EMA (expansion).
PRE / GO engine
Score (0–100) aggregates trend, momentum, RVOL, squeeze, OBV slope, ribbon, pullback, BOS, and an Opening‑Range (OR) proximity penalty.
PRE arms when the adjusted score ≥ threshold and basic hygiene passes (ATR%, cooldown, etc.).
GO confirms within a dynamic window (1–3 bars):
Wick‑break mode on hot momentum (trend‑day / high ADX+RVOL): stop orders above/below the PRE high/low with a tick buffer.
Close‑through mode otherwise: close must push through PRE high/low plus ATR buffer.
Chase guard: entry cannot be too far from PRE price (ATR‑based), with a tiny extra allowance when the 8/21 ribbon aligns.
Multiple PREs per squeeze (capped) + per‑entry cooldown.
Adaptive behavior
Presets (Conservative/Balanced/Aggressive/Turbo) shift score/ADX/RVOL/ATR gates, GO window, cooldown, and max chase.
Profiles / Auto by Symbol:
Mega Trend (e.g., AMD/NVDA/TSLA/AAPL): looser chase, ATR stop, chandelier trail.
Mid Guarded (e.g., TTD/COIN/SOFI): swing stop, EMA trail, moderate gates.
Small Safe (e.g., BTAI/BBAI class): tighter gates, more guardrails.
BBAI micro‑override: easier arming (lower score/ADX/RVOL), multi‑PRE=3, swing stop + EMA trail, lighter OR penalty.
Trend‑day detector: if ADX hot + RVOL strong + ATR expanding + distance from day‑open large → GO window = 1 and wick‑break mode.
Mid‑day relaxers: mild score bonus between 10:30–14:30 to keep signals flowing in quieter tape.
Auto‑Relaxer (no‑signal fallback): after N bars without PRE/GO, gradually lowers score/ADX/RVOL/ATR% gates and raises max chase so the engine doesn’t stall on sleepy symbols.
Auto‑Session fallback: if RTH session isn’t detected (some tickers/premarket), it falls back to daily boundaries so Opening Range and day‑open logic still work.
Risk & exits
Initial stop per side chosen by ATR, Swing, or OR (computed every bar; no conditional calls).
Scaled targets: TP1/TP2 (R‑based) + runner with optional Chandelier or EMA trailing.
BE logic: optional move to breakeven after TP1; trailing can start after TP1 if configured.
Opening Range (OR)
Computes day open, OR high/low over configurable minutes; applies a penalty when entries are too close to OR boundary (lighter for small caps/BBAI). Protects against boundary whips.
Alerts & visuals
Alertconditions: PRE Long/Short Armed, GO Long/Short + explicit alert() calls for once‑per‑bar automation.
Plots: EMA‑200, HTF EMA, BB/KC bands, OR lines, squeeze shading, and PRE markers.
Why it’s robust
Non‑repainting HTF technique, all series precomputed every bar, no function calls hidden in conditionals that could break history dependence, and consistent state handling (var + sentinels).
Tuning cheat‑sheet (fast wins)
More trades: lower scoreBase, adxHot, or rvolMinBase a notch; reduce cooldownBase; increase maxPREperSqueeze.
Fewer whips: increase closeBufferATR, wickBufferTicks, or atrMinPct; reduce maxChaseATRBase.
Trend capture: use trailType="Chandelier", smaller trailLen, slightly larger trailMult; set preset="Aggressive".
Choppy names: prefer stopMode="Swing", enable EMA trail, keep OR penalty on.
EDWARDS SQUEEZE 3MINUTE DOWSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close
Lunar Calendar US Stocks StrategyLunar Calendar US Stocks Strategy
A very simple lunar calendar US stock trading strategy.
Buy : 12th day of the lunar calendar
Sell : 2th day of the lunar calendar
Banned period : Solar Dec 14 ~ Lunar Jan. 15
Buy and sell before US holidays
Total profit is almost same as just buy & hold.
But MDD is less.
Compare with following Crypto strategy (Lunar day 5~26)
Becomnigforextrader XAU M1 ScalperHi
The blue line is baseline of ichimoku or kiju sen. When thee is divergence between pice and baseline, the signals are not correct.
As long as there are signals in your trade direction, you can hold your trade.
This strategy depicts mometum and current trend.
BitLogic Engine# **BitLogic — High-Timeframe Engine for Bitcoin**
! (raw.githubusercontent.com)
**BitLogic** combines trend MAs, adaptive/volatility filters, momentum/oscillators, and percentile logic into one **simple, coherent signal** built to ignore noise and track the dominant move.
**Best use**
* **Market:** **Bitcoin** (BTCUSD / BTCUSDT)
* **Timeframes:** **1D (default)** for the cleanest performance; **6H** and **8H** also work very well
* New to crypto? Prefer **spot buy/sell** (no leverage)
**Why it’s different**
* **No repainting**: signals are confirmed on **bar close** and do **not** repaint afterward.
* **Clean & simple**: minimal on-chart elements—**no clutter, no confusing lines**—so the regime is easy to read at a glance.
* A **purposeful combination** of multiple indicators (not just a stack) tuned for high-TF structure.
* Useful as a **directional market filter** for altcoins too (the market often follows BTC).
**How to use**
* Start on **BTC 1D** with default settings.
* Act on **bar-close** regime flips (keep it simple).
* For alts, take entries only when BTC shows a positive BitLogic regime.
**Backtesting & Performance Table**
* Built for **fast, straightforward backtesting**: one click → immediate stats
**Max DD %**, **% Profitable (Long/Short)**, **Profit Factor**, **Number of Trades**, **Net Profit %** (by side & total).
* Drawdown can use **Open or Closed P/L**, and the table updates instantly.
**Equity curve — how to read it**
* Plots the strategy’s **equity** (with optional **normalization to 100** for easy comparison).
* Optional **EMA smoothing** reduces visual noise on higher TFs.
* **Color-coded by current drawdown** vs running peak (teal < 25%, orange 25–40%, red ≥ 40%) for instant risk context.
* Rising curve with frequent new peaks = strong momentum; extended red segments = elevated risk.
**Notes**
* Works best on liquid BTC spot charts.
* Use proper risk management (position sizing, patience).
* **Educational use only. Not financial advice.**
BTC 1H Trend Strategy · LiteOverview
This is a trend-following breakout strategy for BTC on 1H. It enters on close when price breaks the prior breakout_period high/low (no lookahead; extremes are computed with ), trades only with the RMA trend direction, gates entries with an ADX condition and controls risk using a two-stage ATR engine:
Trend filter (RMA): long only when close > RMA(rma_length), short only when close < RMA.
ADX gate: entry requires ADX >= adx_threshold and ADX >= ADX (default = 1 bar, user-configurable).
ATR risk engine:
Initial protective stop = entry ± ATR × (atr_mult_long/atr_mult_short).
When unrealized PnL ≥ ATR × profit_atr_mult, optionally move to breakeven (use_breakeven=true), then switch to ATR trailing with atr_mult_2.
Optional ATR pullback take-profit using long_pullback_atr / short_pullback_atr.
ATR context filter (optional but enabled by default): trade only when ATR > ATR_MA × atr_multiplier.
This Lite publication is intended for evaluation and transparency. No external indicators are required; publish on a clean chart for clarity.
How it works (key parameters)
breakout_period (default 144): Donchian-style breakout using highest(high, N) / lowest(low, N) .
rma_length (default 987): long-horizon RMA for directional bias.
adx_length = atr_length (default 34), adx_threshold (default 8), adx_lookback (default 1).
atr_length (34), atr_mult_long (2.1), atr_mult_short (0.8), profit_atr_mult (2.5), atr_mult_2 (8.8).
long_pullback_atr (13) / short_pullback_atr (5) for optional pullback exits.
ATR filter: atr_ma_length = atr_length, atr_multiplier = 1.0.
Default Properties (match publication)
Initial capital: $10,000
Commission: 0.1% (percent mode)
Slippage: 100 ticks (≈ $1 on BTC if tick=0.01)
Position sizing: 20% of equity per trade (percent_of_equity)
Pyramiding: 1
process_orders_on_close = true
These defaults are intended to be realistic. If you depart from them, please explain why.
Backtesting guidance
Use a dataset long enough to obtain >100 trades for significance.
Keep charts clean; avoid stacking unrelated scripts.
Risk per trade is controlled by ATR stops; avoid sizing that risks >5–10% equity per trade.
Usage
Add the strategy to a clean BTC 1H chart.
Keep defaults to replicate results; then adjust adx_threshold / adx_lookback / ATR multipliers as needed.
The script evaluates entries at bar close against prior extremes; there is no lookahead.
Originality & rationale
Coordination: Breakout provides timing, RMA enforces directional regime, ADX gate (threshold + ADX ≥ ADX ) filters low-momentum ranges, and the two-stage ATR engine (initial → breakeven → trailing + pullback TP) maintains sustainable risk.
This combination reduces whipsaws typical of naive crossovers while preserving large-move participation.
Disclaimer
For educational purposes only. Not financial advice. Crypto trading involves substantial risk. Test before use.
中文说明
策略概述
1小时BTC趋势策略:突破入场(对比前一窗口极值、无未来函数)+ RMA趋势过滤(只顺势)+ ADX门槛(ADX ≥ 阈值 且 ADX ≥ ADX ,默认 N=1 可调)+ 两段式ATR风控(初始止损 → 触发后保本 → ATR追踪,并可用ATR回撤止盈)。默认开启 ATR环境过滤(ATR > ATR均线 × 倍数)。
默认属性(与发布一致)
初始资金$10,000、佣金0.1%、滑点100 tick、单次开仓20%权益、金字塔1、收盘处理订单。若你与此不同,请在发布说明中给出理由。
回测与使用
建议样本量>100笔;请在干净图表上使用;风险控制由ATR止损实现,避免单笔风险超过5–10%权益。该脚本在收盘评估入场,不使用未来函数。
原创性与协同作用
突破负责“触发”,RMA负责“定向”,ADX负责“剔除低动能震荡”,两段式ATR负责“可持续风险”,共同减少震荡期虚假信号,同时保留趋势行情的跟随能力。
免责声明
教育用途,非投资建议;加密资产风险高,自负盈亏。
SMC AUTO - V4🚀 SMC Auto - V4
Automated Smart Money Concepts strategy combining Break of Structure (BOS) detection, dynamic Supply/Demand zones, and trend filters with moving averages.
📈 Performance (Mar-Aug 2025):
+10.53% return (+$1054 on $10k)
Profit factor: 1.866
Win rate: 39.66% (23/58 trades)
Max drawdown: 4.12% (optimal risk control)
🎯 Key Features:
Automatic structure break detection
Supply/demand zones based on price action
Optimized Risk/Reward: 2.2:1 and 3.5:1
Position management with partial take profits
EMA 21/50 trend filters to reduce false signals
✅ Strengths:
Non-repainting approach (realistic results)
Simple yet effective (avoids over-optimization)
Solid backtests on XAUUSD
Built-in debug table for monitoring
For good people only v1.1Holy Grail, I swear. TradingView gets me to write a description, but this is the Holy grail secret, so I don't reveal anything
CrossEMA Scalping 5-15m CrossEMA Scalping 5–15m
What it does
CrossEMA is a simple, rules-based scalping strategy designed for any symbol on 5–15 minute charts. It uses three exponential moving averages (EMAs) and hard reversals with predefined risk management.
Core logic
EMAs: 9 / 21 / 50 (all lengths, colors, and widths are configurable).
Entry rules (as specified):
BUY: when EMA 9 crosses down through EMA 21 or EMA 50.
SELL: when EMA 9 crosses up through EMA 21 or EMA 50.
On a new opposite signal, the strategy closes the current position and flips immediately (no pyramiding).
Risk management
Take-profit and stop-loss are placed automatically using either:
ATR-based distance (ATR length and SL multiplier configurable), or
Fixed ticks (tick distance configurable).
TP:SL ratio = 4:1 by default (configurable).
Initial capital, commissions, and slippage should be adjusted in Strategy Properties to match your broker/market.
Visuals
“BUY” and “SELL” text markers on signals.
Optional background shading: green while the most recent state is bullish, red while bearish (opacity configurable).
EMAs are plotted above price for clarity.
How to use
Add the strategy to any symbol on a 5m–15m chart.
Open the Inputs and choose ATR or Ticks for SL/TP distance; set your TP:SL ratio.
Configure EMAs, colors, and background preference.
In Strategy Properties, set initial capital, commission, and slippage.
Run backtests and review Performance Summary and List of Trades.
Notes & limitations
Backtest results are hypothetical and depend on your settings (commissions, slippage, order execution model).
Signals are evaluated per bar; live results can differ from historical tests.
This script is provided for educational purposes only and is not financial advice. Always test thoroughly and trade at your own risk.
EMA20 Anti-Whipsaw Strategy - Clean Entry & Exit LabelsCrypto Strategy named EMA20 Anti-Whipsaw Strategy - Clean Entry & Exit Labels
Recovery Zone Hedging [Starbots]Recovery Zone Hedging Strategy — Advanced Adaptive Hedge Recovery System
This strategy introduces an innovative zone-based hedge recovery approach tailored to TradingView’s single-direction trading model. Designed for serious traders and professionals, it combines multiple technical indicators with dynamic position sizing and adaptive take-profit mechanisms to manage drawdowns and maximize recovery efficiency.
How Recovery Zones Are Calculated
The strategy defines recovery zones as a configurable percentage distance from the last executed trade price. This percentage can be adjusted to suit different market volatility environments — wider zones for volatile assets, tighter zones for stable ones. When price moves into a recovery zone against the open position, the strategy places a hedge trade in the opposite direction to help recoup losses.
Dynamic Take-Profit Calculation
Take-profit targets are not fixed. Instead, they increase dynamically based on any accumulated losses from previous hedge trades. For example, if your initial target is 2%, but you have a $5 loss from prior hedges, the next take-profit target adjusts upward to cover both the loss and your profit goal, ensuring the entire hedge sequence closes in net profit.
Originality & Value
Unlike traditional hedging or recovery scripts that rely on static stop losses and fixed trade sizing, this strategy offers:
- Dynamic Hedge Entry Zones: Uses configurable percentage-based recovery zones that adapt to price volatility, allowing precise placement of hedge trades at meaningful reversal levels.
- Multi-Indicator Signal Fusion: Integrates MACD and Directional Movement Index (DMI) signals to confirm trade entries, improving signal accuracy and reducing false triggers.
- Exponential Position Sizing: Each hedge trade’s size grows exponentially using a customizable multiplier, accelerating loss recovery while carefully balancing capital usage.
- Adaptive Take-Profit Logic: The take-profit target adjusts dynamically based on accumulated losses and profit margins, ensuring that the entire hedge sequence closes with a net gain.
- Capital Usage Monitoring: A built-in dashboard tracks real-time equity consumption, preventing over-leveraging by highlighting critical capital thresholds.
- Fail-Safe Exit Mechanism: An optional forced exit beyond the last hedge zone protects capital in extreme market scenarios.
This strategy’s layered design and adaptive mechanisms provide a unique and powerful tool for traders seeking robust recovery systems beyond standard hedge or martingale methods.
How Components Work Together
- Entry Signals: The script listens for MACD line crossovers and DMI directional crosses to open an initial trade.
- Recovery Zones: If the market moves against the initial position, the strategy calculates a recovery zone a set percentage away and places a hedge trade in the opposite direction.
- Position Scaling: Each subsequent hedge trade increases in size exponentially according to the hedge multiplier, designed to recover all previous losses plus a profit.
- Take-Profit Target: Rather than a fixed target, the TP level is dynamically calculated considering current drawdown and desired profit margin, ensuring the entire hedge sequence closes profitably.
- Cycle Management: Trades alternate direction following the recovery zones until profit is realized or a maximum hedge count is reached. If needed, a forced stop-out limits risk exposure.
Key Benefits for Professional Traders
- Enhanced Risk Management: Real-time capital usage visualization helps maintain safe exposure levels.
- Strategic Hedge Recovery: The adaptive recovery zones and exponential sizing accelerate loss recoupment more efficiently than traditional fixed-step systems.
- Multi-Indicator Confirmation: Combining MACD and DMI reduces false signals and improves hedge timing accuracy.
- Versatility: Suitable for multiple timeframes and asset classes with adjustable parameters.
- Comprehensive Visuals: On-chart recovery zones, hedge levels, dynamic take-profits, and equity usage tables enable informed decision-making.
Recommended Settings & Use Cases
- Initial Position Size: 0.1–1% of account equity
- Recovery Zone Distance: 2–5% price movement
- Hedge Multiplier: 1.5–1.85x growth per hedge step
- Max Hedge Steps: 5–10 for controlled risk exposure
Ideal for trending markets where price retracements create viable recovery opportunities. Use caution in sideways markets to avoid extended hedge sequences.
Important Notes
- TradingView’s single-direction model means hedging is simulated via alternating trades.
- Position sizes grow rapidly—proper parameter tuning is essential to avoid over-leveraging.
This script is designed primarily for professional traders seeking an advanced, automated hedge recovery framework, offering superior capital efficiency and loss management.
EMA Deviation Strategy📌 Strategy: EMA Deviation Strategy
The EMA Deviation Strategy identifies potential reversal points by measuring how far the current price deviates from its Exponential Moving Average (EMA). It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, and enters trades when price reaches extreme zones.
🔍 Core Logic:
• Buy Entry: When price deviates significantly below the EMA, approaching the historical minimum deviation — signaling a potential rebound.
• Sell Entry: When price deviates significantly above the EMA, nearing the historical maximum deviation — signaling a possible pullback.
• Optional Take Profit / Stop Loss: Manage risk with customizable exit levels.
⚙️ Customizable Inputs:
• EMA length and lookback period
• Threshold sensitivity for entry signals
• Take profit and stop loss percentages
📈 Best Used For:
• Mean reversion setups
• Assets with cyclical or range-bound behavior
• Identifying short-term overbought/oversold conditions
HiddenRidder - scalping -3 timeframes RSIsBest Used on 3, 5, or 10-minute charts.
Multi-Timeframe Analysis
The script automatically selects a lower and higher timeframe based on your current chart.
For example, if you're on a 15-minute chart:
Lower timeframe might be 5 minutes.
Higher timeframe might be 1 hour.
This strategy combines RSI signals from:
Your current chart timeframe
A lower timeframe (for short-term momentum)
A higher timeframe (for overall trend direction)
By aligning these three perspectives, the strategy aims to catch quick trades that go with the broader trend.
======================================================
High timeframe RSI (HTF), if above 50 baseline then [ usually ] "a bull market"
Adding RSI 50 period to the scene giving an additional confirmation to the HTF
So if HTF RSI and RSI 50 (both) above 50 baseline then [ most likely ] "a confirm bull market"
Most traders consider current RSI above or below 50 baseline , right?
But in scalping or quantum trading "volatility" is the key, so hear me out and get around my simplicity of this strategy!!
If "HTF RSI" & "RSI 50 period" above 50 baseline, wait for the current RSI to crossover "RSI 50 period" then [ Almost confirm ] buy signal and vise versa on the opposite.
So by simplify it , created a dynamic coloring when current RSI crossover RSI 50 (GREEN), and current RSI crossunder RSI 50 (RED).
Bounce: Lower Timeframe RSI (LTF) added as showing in black color to give a sense of next direction.
In 5 mins timeframe, LTF RSI will give a direction of 1 min timeframe, and above 50 baseline (long signal), below 50 baseline (short signal).
NOTE: LTF RSI strategy not tested, not guarantee , on your own risks.
Disclaimer
These indicators are provided for educational purposes only and do not constitute financial advice or guarantees. Use is at your own risk, and all decisions remain your sole responsibility.
1 Triple EMA Crossover Strategy (x, 3x, 9x)An excellent EMA strategy.
x, 3x, and 9x: These represent the periods of the EMAs. For example, if 'x' is 10, then you would have a 10-day EMA, a 30-day EMA, and a 90-day EMA.
Crossover: The strategy relies on identifying when the price or the shorter-term EMAs cross above or below the longer-term EMAs, signaling potential buy or sell opportunities.
How the Strategy Works:
1. Trend Identification:
The relationship between the three EMAs indicates the overall trend. If the 3x EMA is above the 9x EMA, and the x EMA is above both, it suggests an uptrend. Conversely, if the 3x EMA is below the 9x EMA, and the x EMA is below both, it indicates a downtrend.
2. Buy Signals:
A buy signal might be generated when the shortest EMA (x) crosses above the medium EMA (3x) and then both cross above the longest EMA (9x), suggesting a potential breakout.
3. Sell Signals:
A sell signal might be generated when the shortest EMA (x) crosses below the medium EMA (3x) and then both cross below the longest EMA (9x), suggesting a potential breakdown.
---------------------------------------------------------------------------------------------------------
Unlocking Trends with the Triple EMA Crossover Strategy (x, 3x, 9x)
Welcome to an intuitive yet powerful trend-following strategy designed for clarity and actionable signals: the Triple EMA Crossover. This Pine Script® indicator leverages the Exponential Moving Average (EMA) to help traders identify prevailing trends, potential breakouts, and breakdowns with enhanced precision. Built on a simple, scalable 'x, 3x, 9x' methodology, it provides a dynamic framework for navigating market movements.
Understanding the x, 3x, 9x EMA Foundation
At its core, this strategy utilizes three Exponential Moving Averages, each acting as a distinct lens on price action. Unlike Simple Moving Averages (SMAs) which give equal weight to all data points, EMAs place a greater emphasis on recent prices, making them more responsive to current market conditions—a crucial advantage in fast-paced environments like intraday trading.
The "x, 3x, 9x" nomenclature is elegantly simple:
x EMA (Fast EMA): This is your shortest-period EMA, highly sensitive to immediate price changes. It acts as the leading indicator, quickly reacting to shifts in momentum.
3x EMA (Medium EMA): Calculated with three times the 'x' period, this EMA provides a smoother, yet still responsive, view of the short-to-medium term trend. It often acts as dynamic support or resistance.
9x EMA (Slow EMA): Representing nine times the 'x' period, this is your longest EMA. It filters out much of the market noise, giving you a clear picture of the underlying dominant trend.
The beauty of this setup lies in its adaptability. By simply adjusting the Base EMA Period (x) input in the script settings, you can automatically calibrate all three EMAs to suit different instruments, volatility levels, or even your preferred trading style. A common starting point for 'x' in intraday trading on a 5-minute chart is 10, which translates to 10, 30, and 90-period EMAs.
How the Strategy Works: Signals and Trend Identification
The power of the Triple EMA Crossover lies in the interplay and alignment of these three moving averages.
1. Trend Identification
The relative positioning of the EMAs paints a clear picture of the market's trend:
Uptrend (Bullish): When the emaX (fast) is above the ema3X (medium), and the ema3X is, in turn, above the ema9X (slow), it indicates a strong bullish trend. This "stacked" alignment suggests robust upward momentum.
Downtrend (Bearish): Conversely, if the emaX (fast) is below the ema3X (medium), and the ema3X is below the ema9X (slow), it signals a clear bearish trend.
2. Buy Signals 🟢
A buy signal is generated when the swift emaX crosses above the ema3X, AND simultaneously, the ema3X is already above the ema9X. This combined condition ensures that the shorter-term momentum is shifting upward while the underlying medium-term trend remains strong and aligned with the longer-term direction. This reduces false signals often seen with simple two-EMA crossovers, aiming to capture high-probability upward moves. The script will plot a green upward-pointing triangle below the candle to visually alert you to this entry.
3. Sell Signals 🔴
A sell signal occurs when the quick emaX crosses below the ema3X, AND the ema3X is already below the ema9X. This indicates that the short-term momentum is shifting downwards, confirming a bearish bias within the broader downtrend. This comprehensive confirmation helps identify potential breakdowns and exit points for long positions or entry points for short trades. A red downward-pointing triangle will appear above the candle to mark this signal.
The strategy also includes an intuitive exit mechanism: if a buy signal is active and a sell condition is met, the long position will be closed, and vice-versa for short positions. This ensures you're always aligned with the most recent confirmed trend direction.
Key Advantages for Traders
Clarity: Provides visually clear trend direction and momentum shifts.
Responsiveness: EMAs react faster to price changes compared to SMAs, making them ideal for dynamic markets.
Confirmation: The three-EMA alignment significantly reduces false signals, leading to higher-conviction trades.
Adaptability: The x input allows you to fine-tune the strategy for various assets and market conditions.
Simplicity: Despite its effectiveness, the logic remains straightforward and easy to understand.
Important Considerations for Day Trading
For optimal performance in intraday trading, it's highly recommended to apply this strategy on a 5-minute chart. This timeframe strikes the perfect balance between capturing rapid price action and filtering out excessive market noise, allowing the EMA crossovers to provide meaningful signals. Always combine this technical analysis with sound risk management, including stop-loss orders, and consider other indicators or fundamental analysis for further confirmation.
Customization and Disclaimer
Feel free to experiment with the Base EMA Period (x) input to find the optimal settings that resonate with your trading style and the specific instruments you trade. Remember, no single strategy guarantees profits, and past performance is not indicative of future results. This script is provided for educational and illustrative purposes. Always conduct your own research and risk assessment before trading with real capital. Happy Trading!
POCTraderX Pro— Structure & Precision Algorithm POCTraderX Pro is a market analysis system designed to accurately identify key interest zones and price turning points. It combines advanced Price Action reading with a dynamic filtering process that adapts signals according to market volatility and internal structure.
Methodology
The algorithm analyzes the sequence of relevant highs and lows (HH, HL, LL, LH) along with the price location in relation to Point of Control levels and consolidation ranges.
It uses multi–timeframe confirmations to filter out false breakouts and optimize trade entries.
In high–volatility conditions, it automatically adjusts validation levels to maintain a favorable risk/reward ratio.
Configuration
Recommended timeframes: from 1–minute to daily, depending on the trading style.
Applicable markets: indices, forex, commodities, and cryptocurrencies.
Adjustable parameters:
Structure detection sensitivity.
Enable/disable volatility filters.
Show/hide control zones and previous ranges.
Purpose
Provide a clear reading of market structure and critical zones to help traders execute trades with greater consistency and avoid entries in low–probability areas.
Important Notes
This script is closed–source to protect its internal methodology, but it is based on an original combination of structural analysis and zone validation not available in free indicators.
It does not produce automatic buy or sell signals without context; it is intended to be integrated into a complete trading strategy.
4H RSI + EMA (Fib optional) with 3:1 R:R + Hybrid ExitAs above.
RSI + 50 EMA & 200MA
3:1 R:R
Exit based on RSI extreme or 200MA Opposition or 3:1 R:R
SulCryptoversity_4H_BuySell_CryptoIndicatorThis strategy is designed specifically for the 4-hour timeframe on trading charts. It works primarily for Bitcoin (BTC) but can also be applied to other high-market-cap cryptocurrencies such as Ethereum (ETH), Solana (SOL), Ripple (XRP), Sui (SUI), and even various other coins.
Please note that this is not financial advice—trading involves significant risk, and you should only proceed at your own discretion. We are not liable for any losses incurred from following these signals.
This strategy may be more effective in leverage trading to maximize gains, but leverage trading is highly risky and only recommended for highly skilled traders, as you could lose all your money. For regular purposes, use spot trading.
To use it effectively, focus on the "Buy" and "Sell" signals for your entry and exit points. While an "Exit Buy" signal may appear, rely solely on the main Buy and Sell indicators for decision-making.
-SulCryptoversity aka yo4Q
Hammer & Shooting Star — StrategyHammer & Shooting Star Strategy for Intraday Trading
This strategy identifies two candlestick patterns commonly used in technical analysis:
Hammer Candles (a bullish reversal signal):
A hammer candle has a small body at the top with a long lower wick. The strategy goes long on the next bar open when a hammer is detected, with a stop loss at the low of the hammer bar and a target at the high.
Shooting Star Candles (a bearish reversal signal):
A shooting star candle has a small body at the bottom with a long upper wick. The strategy goes short on the next bar open when a shooting star is detected, with a stop loss at the high of the shooting star bar and a target at the low.