Consolidated 9-Indicator Buy/Sell Zones & TriggersALL important inductors combined for long term position holders and short term guys...use it to enter trade and exit ...backgroud colour will give you the indication of the market mood..
Pattern grafici
swapstrategy-Reversal StrategyGenerate buy and sell signals and reverses position when chart turn buy or sell side
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools.
Recommended Input Parameters
These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading.
Fast EMA Length (emaFastLen): 9
Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe.
Slow EMA Length (emaSlowLen): 21
Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction.
RSI Length (rsiLen): 14
Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes.
RSI Overbought (rsiOverbought): 75
Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets.
RSI Oversold (rsiOversold): 25
Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals.
MACD Fast Length (macdFast): 12
Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals.
MACD Slow Length (macdSlow): 26
Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much.
MACD Signal Smoothing (macdSignal): 9
Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart.
Bollinger Bands Length (bbLen): 20
Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets.
Bollinger Bands Multiplier (bbMult): 2.0
Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets.
Stop Loss % (slPerc): 0.8%
Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable.
Take Profit % (tpPerc): 1.5%
Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits.
Use Candlestick Patterns (useCandlePatterns): True
Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets.
Use Volume Filter (useVolumeFilter): True
Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets.
Signal Arrow Size (signalSize): 2.0
Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action.
Background Highlight Transparency (bgTransparency): 85
Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter.
How to Apply These Parameters
Copy the Script: Use the Pine Script provided in the previous response.
Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart."
Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields.
Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart.
Fine-Tuning for Optimal Performance
To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features:
Backtesting:
Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance).
Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester.
Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways).
Parameter Optimization:
In the Strategy Tester, click the settings gear next to the strategy name.
Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0).
Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data.
Market-Specific Adjustments:
Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings.
Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better.
Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends.
Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise.
Forward Testing:
After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions.
Important Notes
No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices.
Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance.
Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare.
Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds.
If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
MTF FVG Confluence v6 — JSON Alerts via alert()This strategy combines multi-timeframe confluence with candlestick analysis and fair value gaps (FVGs) to generate structured long/short entries. It aligns Daily and 4H EMA trends with 1H MACD momentum, then confirms with engulfing candles and FVG zones for precision entries. Risk management is built-in, featuring stop-loss, 3R take-profit targets, and optional break-even logic, with dynamic JSON alerts for webhook automation.
Categories:
Candlestick analysis
Chart patterns
Cycles
dabilThe strategy is probably to go short or long with the trend depending on the case, but if all time units 1 minute then 3 minutes then 5 minutes then 15 minutes then 1 hour all show the same direction, but first the 1 hour must be bullish in which the 1 hour candle closes above the previous one, for example if the trend is bearish then the market wants to change direction, then a 1 hour bullish close must then be followed by a 1 hour bearish close below the bullish candle, then another bullish candle must shoot above the previous bullish candle, then 15 minutes also shoot above the previous 15 bullish candles, then 1 and 2...3.5. Then I can rise with the market by only covering the last 15 bullish candles with my stop loss, if my SL is 50 pips then I want 100 pips and then I'm out.
Trend River Pullback (Avramis-style) v1//@version=5
strategy("Trend River Pullback (Avramis-style) v1",
overlay=true, initial_capital=10000, commission_type=strategy.commission.percent, commission_value=0.02,
pyramiding=0, calc_on_order_fills=true, calc_on_every_tick=true, margin_long=1, margin_short=1)
// ===== Inputs
// EMA "река"
emaFastLen = input.int(8, "EMA1 (быстрая)")
ema2Len = input.int(13, "EMA2")
emaMidLen = input.int(21, "EMA3 (средняя)")
ema4Len = input.int(34, "EMA4")
emaSlowLen = input.int(55, "EMA5 (медленная)")
// Откат и импульс
rsiLen = input.int(14, "RSI длина")
rsiOB = input.int(60, "RSI порог тренда (лонг)")
rsiOS = input.int(40, "RSI порог тренда (шорт)")
pullbackPct = input.float(40.0, "Глубина отката в % ширины реки", minval=0, maxval=100)
// Риск-менеджмент
riskPct = input.float(1.0, "Риск на сделку, % от капитала", step=0.1, minval=0.1)
atrLen = input.int(14, "ATR длина (стоп/трейлинг)")
atrMultSL = input.float(2.0, "ATR множитель для стопа", step=0.1)
tpRR = input.float(2.0, "Тейк-профит R-множитель", step=0.1)
// Трейлинг-стоп
useTrail = input.bool(true, "Включить трейлинг-стоп (Chandelier)")
trailMult = input.float(3.0, "ATR множитель трейлинга", step=0.1)
// Торговые часы (по времени биржи TradingView символа)
useSession = input.bool(false, "Ограничить торговые часы")
sessInput = input.session("0900-1800", "Сессия (локальная для биржи)")
// ===== Calculations
ema1 = ta.ema(close, emaFastLen)
ema2 = ta.ema(close, ema2Len)
ema3 = ta.ema(close, emaMidLen)
ema4 = ta.ema(close, ema4Len)
ema5 = ta.ema(close, emaSlowLen)
// "Река": верх/низ как конверт по средним
riverTop = math.max(math.max(ema1, ema2), math.max(ema3, math.max(ema4, ema5)))
riverBot = math.min(math.min(ema1, ema2), math.min(ema3, math.min(ema4, ema5)))
riverMid = (riverTop + riverBot) / 2.0
riverWidth = riverTop - riverBot
// Трендовые условия: выстроенность EMAs
bullAligned = ema1 > ema2 and ema2 > ema3 and ema3 > ema4 and ema4 > ema5
bearAligned = ema1 < ema2 and ema2 < ema3 and ema3 < ema4 and ema4 < ema5
// Импульс
rsi = ta.rsi(close, rsiLen)
// Откат внутрь "реки"
pullbackLevelBull = riverTop - riverWidth * (pullbackPct/100.0) // чем больше %, тем глубже внутрь
pullbackLevelBear = riverBot + riverWidth * (pullbackPct/100.0)
pullbackOkBull = bullAligned and rsi >= rsiOB and low <= pullbackLevelBull
pullbackOkBear = bearAligned and rsi <= rsiOS and high >= pullbackLevelBear
// Триггер входа: возврат в импульс (пересечение быстрой EMA)
longTrig = pullbackOkBull and ta.crossover(close, ema1)
shortTrig = pullbackOkBear and ta.crossunder(close, ema1)
// Сессия
inSession = useSession ? time(timeframe.period, sessInput) : true
// ATR для стопов
atr = ta.atr(atrLen)
// ===== Position sizing по риску
// Расчет размера позиции: риск% от капитала / (стоп в деньгах)
capital = strategy.equity
riskMoney = capital * (riskPct/100.0)
// Предварительные уровни стопов
longSL = close - atrMultSL * atr
shortSL = close + atrMultSL * atr
// Цена тика и размер — приблизительно через syminfo.pointvalue (может отличаться на разных рынках)
tickValue = syminfo.pointvalue
// Избежать деления на 0
slDistLong = math.max(close - longSL, syminfo.mintick)
slDistShort = math.max(shortSL - close, syminfo.mintick)
// Кол-во контрактов/лотов
qtyLong = riskMoney / (slDistLong * tickValue)
qtyShort = riskMoney / (slDistShort * tickValue)
// Ограничение: не меньше 0
qtyLong := math.max(qtyLong, 0)
qtyShort := math.max(qtyShort, 0)
// ===== Entries
if inSession and longTrig and strategy.position_size <= 0
strategy.entry("Long", strategy.long, qty=qtyLong)
if inSession and shortTrig and strategy.position_size >= 0
strategy.entry("Short", strategy.short, qty=qtyShort)
// ===== Exits: фиксированный TP по R и стоп
// Храним цену входа
var float entryPrice = na
if strategy.position_size != 0 and na(entryPrice)
entryPrice := strategy.position_avg_price
if strategy.position_size == 0
entryPrice := na
// Цели
longTP = na(entryPrice) ? na : entryPrice + tpRR * (entryPrice - longSL)
shortTP = na(entryPrice) ? na : entryPrice - tpRR * (shortSL - entryPrice)
// Трейлинг: Chandelier
trailLong = close - trailMult * atr
trailShort = close + trailMult * atr
// Итоговые уровни выхода
useTrailLong = useTrail and strategy.position_size > 0
useTrailShort = useTrail and strategy.position_size < 0
// Для лонга
if strategy.position_size > 0
stopL = math.max(longSL, na) // базовый стоп
tStop = useTrailLong ? trailLong : longSL
// Выход по стопу/трейлу и ТП
strategy.exit("L-Exit", from_entry="Long", stop=tStop, limit=longTP)
// Для шорта
if strategy.position_size < 0
stopS = math.min(shortSL, na)
tStopS = useTrailShort ? trailShort : shortSL
strategy.exit("S-Exit", from_entry="Short", stop=tStopS, limit=shortTP)
// ===== Visuals
plot(ema1, "EMA1", display=display.all, linewidth=1)
plot(ema2, "EMA2", display=display.all, linewidth=1)
plot(ema3, "EMA3", display=display.all, linewidth=2)
plot(ema4, "EMA4", display=display.all, linewidth=1)
plot(ema5, "EMA5", display=display.all, linewidth=1)
plot(riverTop, "River Top", style=plot.style_linebr, linewidth=1)
plot(riverBot, "River Bot", style=plot.style_linebr, linewidth=1)
fill(plot1=plot(riverTop, display=display.none), plot2=plot(riverBot, display=display.none), title="River Fill", transp=80)
plot(longTP, "Long TP", style=plot.style_linebr)
plot(shortTP, "Short TP", style=plot.style_linebr)
plot(useTrailLong ? trailLong : na, "Trail Long", style=plot.style_linebr)
plot(useTrailShort ? trailShort : na, "Trail Short", style=plot.style_linebr)
// Маркеры сигналов
plotshape(longTrig, title="Long Trigger", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="L")
plotshape(shortTrig, title="Short Trigger", style=shape.triangledown, location=location.abovebar, size=size.tiny, text="S")
// ===== Alerts
alertcondition(longTrig, title="Long Signal", message="Long signal: trend aligned + pullback + momentum")
alertcondition(shortTrig, title="Short Signal", message="Short signal: trend aligned + pullback + momentum")
MuLegend's Break & Retest StrategyThis strategy was produced to help traders who trade NQ: win! try it out on a demo, see how you like and happy trading!! Works well if you are a break & retest trader!!!
MuMu
@atltime2shine on IG
J12Matic Builder by galgoomA flexible Renko/tick strategy that lets you choose between two entry engines (Multi-Source 3-way or QBand+Moneyball), with a unified trailing/TP exit engine, NY-time trading windows with auto-flatten, daily profit/loss and trade-count limits (HALT mode), and clean webhook routing using {{strategy.order.alert_message}}.
Highlights
Two entry engines
Multi-Source (3): up to three long/short sources with Single / Dual / Triple logic and optional lookback.
QBand + Moneyball: Gate → Trigger workflow with timing windows, OR/AND trigger modes, per-window caps, optional same-bar fire.
Unified exit engine: Trailing by Bricks or Ticks, plus optional static TP/SL.
Session control (NY time): Evening / Overnight / NY Session windows; auto-flatten at end of any enabled window.
Day controls: Profit/Loss (USD) and Trade-count limits. When hit, strategy HALTS new entries, shows an on-chart label/background.
Alert routing designed for webhooks: Every order sets alert_message= so you can run alerts with:
Condition: this strategy
Notify on: Order fills only
Message: {{strategy.order.alert_message}}
Default JSONs or Custom payloads: If a Custom field is blank, a sensible default JSON is sent. Fill a field to override.
How to set up alerts (the 15-second version)
Create a TradingView alert with this strategy as Condition.
Notify on: Order fills only.
Message: {{strategy.order.alert_message}} (exactly).
If you want your own payloads, paste them into Inputs → 08) Custom Alert Payloads.
Leave blank → the strategy sends a default JSON.
Fill in → your text is sent as-is.
Note: Anything you type into the alert dialog’s Message box is ignored except the {{strategy.order.alert_message}} token, which forwards the payload supplied by the strategy at order time.
Publishing notes / best practices
Renko users: Make sure “Renko Brick Size” in Inputs matches your chart’s brick size exactly.
Ticks vs Bricks: Exit distances switch instantly when you toggle Exit Units.
Same-bar flips: If enabled, a new opposite signal will first close the open trade (with its exit payload), then enter the new side.
HALT mode: When day profit/loss limit or trade-count limit triggers, new entries are blocked for the rest of the session day. You’ll see a label and a soft background tint.
Session end flatten: Auto-closes positions at window ends; these exits use the “End of Session Window Exit” payload.
Bar magnifier: Strategy is configured for on-close execution; you can enable Bar Magnifier in Properties if needed.
Default JSONs (used when a Custom field is empty)
Open: {"event":"open","side":"long|short","symbol":""}
Close: {"event":"close","side":"long|short|flat","reason":"tp|sl|flip|session|limit_profit|limit_loss","symbol":""}
You can paste any text/JSON into the Custom fields; it will be forwarded as-is when that event occurs.
Input sections — user guide
01) Entries & Signals
Entry Logic: Choose Multi-Source (3) or QBand + Moneyball (pick one).
Enable Long/Short Signals: Master on/off switches for entering long/short.
Flip on opposite signal: If enabled, a new opposite signal will close the current position first, then open the other side.
Signal Logic (Multi-Source):
Single: any 1 of the 3 sources > 0
Dual: Source1 AND Source2 > 0
Triple (default): 1 AND 2 AND 3 > 0
Long/Short Signal Sources 1–3: Provide up to three series (often indicators). A positive value (> 0) is treated as a “pulse”.
Use Lookback: Keeps a source “true” for N bars after it pulses (helps catch late triggers).
Long/Short Lookback (bars): How many bars to remember that pulse.
01b) QBands + Moneyball (Gate -> Trigger)
Allow same-bar Gate->Trigger: If ON, a trigger can fire on the same bar as the gate pulse.
Trigger must fire within N bars after Gate: Size of the gate window (in bars).
Max signals per window (0 = unlimited): Cap the number of entries allowed while a gate window is open.
Buy/Sell Source 1 – Gate: Gate pulse sources that open the buy/sell window (often a regime/zone, e.g., QBands bull/bear).
Trigger Pulse Mode (Buy/Sell): How to detect a trigger pulse from the trigger sources (Change / Appear / Rise>0 / Fall<0).
Trigger A/B sources + Extend Bars: Primary/secondary triggers plus optional extension to persist their pulse for N bars.
Trigger Mode: Pick S2 only, S3 only, S2 OR S3, or S2 AND S3. AND mode remembers both pulses inside the window before firing.
02) Exit Units (Trailing/TP)
Exit Units: Choose Bricks (Renko) or Ticks. All distances below switch accordingly.
03) Tick-based Trailing / Stops (active when Exit Units = Ticks)
Initial SL (ticks): Starting stop distance from entry.
Start Trailing After (ticks): Start trailing once price moves this far in your favor.
Trailing Distance (ticks): Offset of the trailing stop from peak/trough once trailing begins.
Take Profit (ticks): Optional static TP distance.
Stop Loss (ticks): Optional static SL distance (overrides trailing if enabled).
04) Brick-based Trailing / Stops (active when Exit Units = Bricks)
Renko Brick Size: Must match your chart’s brick size.
Initial SL / Start Trailing After / Trailing Distance (bricks): Same definitions as tick mode, measured in bricks.
Take Profit / Stop Loss (bricks): Optional static distances.
05) TP / SL Switch
Enable Static Take Profit: If ON, closes the trade at the fixed TP distance.
Enable Static Stop Loss (Overrides Trailing): If ON, trailing is disabled and a fixed SL is used.
06) Trading Windows (NY time)
Use Trading Windows: Master toggle for all windows.
Evening / Overnight / NY Session: Define each session in NY time.
Flatten at End of : Auto-close any open position when a window ends (sends the Session Exit payload).
07) Day Controls & Limits
Enable Profit Limits / Profit Limit (Dollars): When daily net PnL ≥ limit → auto-flatten and HALT.
Enable Loss Limits / Loss Limit (Dollars): When daily net PnL ≤ −limit → auto-flatten and HALT.
Enable Trade Count Limits / Number of Trades Allowed: After N entries, HALT new entries (does not auto-flatten).
On-chart HUD: A label and soft background tint appear when HALTED; a compact status table shows Day PnL, trade count, and mode.
08) Custom Alert Payloads (used as strategy.order.alert_message)
Long/Short Entry: Payload sent on entries (if blank, a default open JSON is sent).
Regular Long/Short Exit: Payload sent on closes from SL/TP/flip (if blank, a default close JSON is sent).
End of Session Window Exit: Payload sent when any enabled window ends and positions are flattened.
Profit/Loss/Trade Limit Close: Payload sent when daily profit/loss limit causes auto-flatten.
Tip: Any tokens you include here are forwarded “as is”. If your downstream expects variables, do the substitution on the receiver side.
Known limitations
No bracket orders from Pine: This strategy doesn’t create OCO/attached brackets on the broker; it simulates exits with strategy logic and forwards your payloads for external automation.
alert_message is per order only: Alerts fire on order events. General status pings aren’t sent unless you wire a separate indicator/alert.
Renko specifics: Backtests on synthetic Renko can differ from live execution. Always forward-test on your instrument and settings.
Quick checklist before you publish
✅ Brick size in Inputs matches your Renko chart
✅ Exit Units set to Bricks or Ticks as you intend
✅ Day limits/Windows toggled as you want
✅ Custom payloads filled (or leave blank to use defaults)
✅ Your alert uses Order fills only + {{strategy.order.alert_message}}
ICT Unicorn Strategy [RoboQuant]What it detects
Structure: uses pivots (ta.pivothigh/low) to build a mini zigzag (A–B–C–D).
“Unicorn” Pattern:
Bull: bullish direction, C below A (protected swing), with a bullish “BRB” candle at B.
Bear: mirrored version.
FVG: searches for a valid gap between candle i and i+2 inside the BRB candle range and greater than 0.05 × ATR (quality filter).
When an FVG appears, it plots boxes/lines (top/bottom of range, protected swing, FVG box).
How it enters
Bull Trigger: a candle opens inside the FVG and closes above the top of the FVG (mitigation + continuation).
SL = protected swing (firstBl.swing, pivot C).
TP = top + (top - swing) * (reward/risk).
Draws Risk and Reward boxes if showTargets=true.
Bear Trigger: mirror setup (opens inside FVG and closes below bottom).
Management & sizing
Sizing: calculates position size = riskAmount / SL distance, capped by maxPositionSize.
RR configurable with risk and reward (default 1:2).
Trailing optional: adjusts TsL using short pivots (lenS).
Trade closes at SL (break of swing) or TP (target reached).
combine: if false, a bull setup cancels a bear setup (and vice versa). If true, both can coexist.
Key parameters
len: pivot sensitivity (structure).
riskAmount and maxPositionSize: risk control.
trail, lenS: trailing logic.
Box colors/visibility (showTargets, colRisk, colReward).
ICT translation
Seeks impulse → FVG → pullback into FVG → expansion, with a protected swing (implicit BOS/MSS via zigzag) and mitigation of imbalance.
The ATR * 0.05 filter avoids micro-gaps without intent.
How I’d use it (quick checklist)
Mark HTF bias (only take bull or bear setups with the trend).
On LTF, wait for a valid FVG inside the BRB candle.
Enter only if a candle re-enters the FVG and closes breaking its edge.
SL at swing C, TP by RR (default 1:2).
Enable trailing only after 1R is reached (optional, tuned via lenS).
Setup Cripto EMA + Volume//@version=5 indicator("Sinais Multi-Cripto – EMA+Volume (BTC/ETH/BNB/SOL/XRP)", overlay=false)
// Inputs emaFast = input.int(50, "EMA Curta") emaSlow = input.int(200, "EMA Longa") emaPull = input.int(20, "EMA Pullback") volLen = input.int(20, "Média Volume")
symBTC = input.symbol(defval="BINANCE:BTCUSDT", title="BTC") symETH = input.symbol(defval="BINANCE:ETHUSDT", title="ETH") symBNB = input.symbol(defval="BINANCE:BNBUSDT", title="BNB") symSOL = input.symbol(defval="BINANCE:SOLUSDT", title="SOL") symXRP = input.symbol(defval="BINANCE:XRPUSDT", title="XRP")
f_sig(sym) => c = request.security(sym, timeframe.period, close) v = request.security(sym, timeframe.period, volume) e50 = ta.ema(c, emaFast) e200 = ta.ema(c, emaSlow) e20 = ta.ema(c, emaPull) vma = ta.sma(v, volLen) long = (e50 > e200) and (c > e20) and (v > vma) short = (e50 < e200) and (c < e20) and (v > vma)
= f_sig(symBTC) = f_sig(symETH) = f_sig(symBNB) = f_sig(symSOL) = f_sig(symXRP)
// Exibição plotchar(btcL, title="BTC Long", char="▲", location=location.top) plotchar(btcS, title="BTC Short", char="▼", location=location.bottom) plotchar(ethL, title="ETH Long", char="▲", location=location.top) plotchar(ethS, title="ETH Short", char="▼", location=location.bottom) plotchar(bnbL, title="BNB Long", char="▲", location=location.top) plotchar(bnbS, title="BNB Short", char="▼", location=location.bottom) plotchar(solL, title="SOL Long", char="▲", location=location.top) plotchar(solS, title="SOL Short", char="▼", location=location.bottom) plotchar(xrpL, title="XRP Long", char="▲", location=location.top) plotchar(xrpS, title="XRP Short", char="▼", location=location.bottom)
Lunar calendar day Crypto Trading StrategyLunar calendar day Crypto Trading Strategy
This strategy explores the potential impact of the lunar calendar on cryptocurrency price cycles.
It implements a simple but unconventional rule:
Buy on the 5th day of each lunar month
Sell on the 26th day of the lunar month
No trades between January 1 (solar) and Lunar New Year’s Day (holiday buffer period)
Research background
Several academic studies have investigated the influence of lunar cycles on financial markets. Their findings suggest:
Returns tend to be higher around the full moon compared to the new moon.
Periods between the full moon and the waning phase often show stronger average returns than the waxing phase.
This strategy combines those observations into a practical implementation by testing fixed entry (lunar day 5) and exit (lunar day 26) points, while excluding the transition period from solar New Year to Lunar New Year, effectively capturing mid-month lunar effects.
How it works
The script includes a custom lunar date calculation function, reconstructing lunar months and days for each year (2020–2026).
On lunar day 5, the strategy opens a long position with 100% of equity.
On lunar day 26, the strategy closes the position.
No trades are executed between Jan 1 and Lunar New Year’s Day.
All trades include:
Commission: 0.1%
Slippage: 3 ticks
Position sizing uses the entire equity (100%) for simplicity, but this is not recommended for live trading.
Why this is original
Unlike mashups of built-in indicators, this script:
Implements a full lunar calendar system inside Pine Script.
Translates academic findings on lunar effects into an applied backtest.
Adds a realistic trading filter (holiday gap) based on cultural/seasonal calendar rules.
Provides researchers and traders with a framework to explore non-traditional, time-based signals.
Notes
This is an experimental, research-oriented strategy, not financial advice.
Results are highly dependent on the chosen period (2020–2026).
Using 100% equity per trade is for simplification only and is not a viable money management practice.
The purpose is to investigate whether cyclical patterns linked to lunar time can provide any statistical edge in ETHUSDT.
MTF RSI + ADX + ATR SL/TP vivekDescription:
This strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
MTF RSI + ADX + ATR SL/TPThis strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
VWAP Executor — v6 (VWAP fix)tarek helishPractical scalping plan with high-rate (sometimes reaching 70–85% in a quiet market)
Concept: “VWAP bounce with a clear trend.”
Tools: 1–3-minute chart for entry, 5-minute trend filter, VWAP, EMA(50) on 5M, ATR(14) on 1M, volume.
When to trade: London session or early New York session; avoid 10–15 minutes before/after high-impact news.
Entry rules (buy for example):
Trend: Price is above the EMA(50) on 5M and has an upward trend.
Entry zone: First bounce to VWAP (or a ±1 standard deviation channel around it).
Signal: Bullish rejection/engulfing candle on 1M with increasing volume, and RSI(2) has exited oversold territory (optional).
Order: Entry after the confirmation candle closes or a limit close to VWAP.
Trade Management:
Stop: Below the bounce low or 0.6xATR(1M) (strongest).
Target: 0.4–0.7xATR(1M) or the previous micro-high (small return to increase success rate).
Trigger: Move the stop to breakeven after +0.25R; close manually if the 1M candle closes strongly against you.
Filter: Do not trade if the spread widens, or the price "saws" around VWAP without a trend.
Sell against the rules in a downtrend.
Why this plan raises the heat-rate? You buy a "small discount" within an existing trend and near the institutional average price (VWAP), with a small target price.
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