Mean Reversion Trading V1Overview
This is a simple mean reversion strategy that combines RSI, Keltner Channels, and MACD Histograms to predict reversals. Current parameters were optimized for NASDAQ 15M and performance varies depending on asset. The strategy can be optimized for specific asset and timeframe.
How it works
Long Entry (All must be true):
1. RSI < Lower Threshold
2. Close < Lower KC Band
3. MACD Histogram > 0 and rising
4. No open trades
Short Entry (All must be true):
1. RSI > Upper Threshold
2. Close > Upper KC Band
3. MACD Histogram < 0 and falling
4. No open trades
Long Exit:
1. Stop Loss: Average position size x ( 1 - SL percent)
2. Take Profit: Average position size x ( 1 + TP percent)
3. MACD Histogram crosses below zero
Short Exit:
1. Stop Loss: Average position size x ( 1 + SL percent)
2. Take Profit: Average position size x ( 1 - TP percent)
3. MACD Histogram crosses above zero
Settings and parameters are explained in the tooltips.
Important
Initial capital is set as 100,000 by default and 100 percent equity is used for trades
Indicators and strategies
Legendx// ──────────────────────────────────────────────────────────────
// 📘 STRATEGY DESCRIPTION — LEGENDX (with Telegram Alerts)
// ──────────────────────────────────────────────────────────────
//
// The **LegendX Strategy** is a next-generation market analysis
// and execution framework built for traders who demand precision,
// automation, and clarity in both backtesting and live execution.
//
// 🔹 CORE LOGIC
// • Uses adaptive Moving Averages (EMA, HMA, RMA, SMA, VWAP, VWMA, or WMA)
// to track trend direction and detect high-probability entries.
// • Entry triggers are dynamically adjusted by volatility filters
// (ATR and Standard Deviation), ensuring trades align with market momentum.
// • Supports up to **8 Take-Profit levels** for progressive scaling out.
// • Includes automatic Stop-Loss generation based on renormalized
// percentage distance from entry.
//
// 🔹 BACKTESTING FEATURES
// • Built-in simulation of entries/exits with adjustable ATR, deviation, and risk.
// • Displays detailed statistics such as peak profit, drawdown, and cumulative results.
// • Suitable for any symbol, including crypto, forex, indices, and commodities.
//
// 🔹 TELEGRAM AUTOMATION
// • Integrated **Telegram Signal System** sends real-time alerts
// (Entry, TP1–TP8, SL, Symbol, and Timestamp) to your Telegram channel.
// • Uses simple webhook integration via TradingView alerts —
// no external servers or scripts required.
// • Perfect for signal groups, prop firm monitoring, and portfolio tracking.
//
// 🔹 BEST FOR
// • Crypto traders (e.g., Binance, Bybit) who want automated, transparent signals.
// • Commodity & index traders who use multi-level profit scaling.
// • Traders who combine **quantitative backtesting** with **live alert automation**.
//
// 🔹 USAGE TIPS
// • Set alert frequency to “Once Per Bar Close” for clean, non-duplicate signals.
// • Configure your Telegram bot & channel ID once — signals will post automatically.
// • For automated execution, combine with tools like PineConnector or Alertatron.
//
// 🏆 LEGENDX — Precision Meets Automation.
// Built for traders who want clarity, control, and real-time communication.
//
// ──────────────────────────────────────────────────────────────
XAUUSD 5m — NY Supertrend+RSI Optimizer (1:2 RR) — $240k/orderThis strategy is built for XAUUSD (Gold) on the 5-minute timeframe, focusing exclusively on the New York trading session (08:00–17:00 NY time) — the most volatile and liquid hours of the day.
It combines a Supertrend trend filter with RSI momentum signals to identify high-probability entries, using a 1:2 risk–reward ratio for disciplined trade management.
🧠 Strategy Logic:
Buy Condition: RSI crosses above 55 while Supertrend indicates an uptrend
Sell Condition: RSI crosses below 45 while Supertrend indicates a downtrend
Session Filter: Trades only between 08:00 → 17:00 New York time
Risk/Reward: 1:2 (Take-Profit = 2× Stop-Loss distance from Supertrend line)
Position Size: $240,000 notional per order
Auto-Exit: Closes all trades at NY session end
⚡ Highlights:
Targets NY session volatility
Combines trend + momentum for cleaner entries
Strict 1:2 RR for consistent outcomes
Avoids overnight exposure
⚠️ Disclaimer:
This script is intended for educational and research purposes only.
Past performance is not indicative of future results.
Always forward-test on demo before using live capital.
나의 strategy//@version=6
strategy("Jimb0ws Strategy + All Bubble Zones + Golden Candles + Limited Signals", overlay=true, calc_on_every_tick=true, max_bars_back=5000)
// ─── INPUTS ─────────────────────────────────────────────────────────────────
pipBodyTol = input.float(0, title="Pip Tolerance for Body Touch", step=0.0001)
pipWickTol = input.float(0.002, title="Pip Tolerance for Wick Touch", step=0.0001)
maxBodyDrive = input.float(0, title="Max Drive from EMA for Body", step=0.0001)
maxWickDrive = input.float(0.002, title="Max Drive from EMA for Wick", step=0.0001)
fractalSizeOpt = input.string("small", title="Fractal Size", options= )
minBodySize = input.float(0, title="Min Body Size for Golden Candle", step=0.0001)
longOffsetPips = input.int(25, title="Long Label Offset (pips)", minval=0)
shortOffsetPips = input.int(25, title="Short Label Offset (pips)", minval=0)
consolOffsetPips = input.int(25, title="Consolidation Label Offset (pips)", minval=0)
longSignType = input.string("Label Down", title="Long Bubble Sign Type", options= )
shortSignType = input.string("Label Up", title="Short Bubble Sign Type", options= )
consolSignType = input.string("Label Down", title="Consolidation Bubble Sign Type", options= )
enable1hEmaFilter = input.bool(true, title="Disable Signals beyond 1H EMA50")
showZones = input.bool(true, title="Show Bubble Zones")
showSigns = input.bool(true, title="Show Bubble Signs")
maxSignalsPerBubble = input.int(3, title="Max Signals Per Bubble", minval=1)
// Toggle for session filter
enableSessionFilter = input.bool(true, title="Enable Active Trading Session Filter")
sessionInput = input.session("0100-1900", title="Active Trading Session")
tzInput = input.string("Europe/London", title="Session Timezone",
options= )
actualTZ = tzInput == "Exchange" ? syminfo.timezone : tzInput
infoOffsetPips = input.int(5, title="Info Line Offset Above Price (pips)", minval=0)
warnOffsetPips = input.int(10, title="Warning Label Offset Above Infobar (pips)", minval=0)
show1HInfo = input.bool(true, title="Show 1H Bubble Info")
bufferLimit = 5000 - 1
enableProxFilter = input.bool(true, title="Disable Signals Near 1H EMA50")
proxRangePips = input.int(10, title="Proximity Range (pips)", minval=0)
enableWickFilter = input.bool(true, title="Filter Golden-Candle Wick Overdrive")
wickOverdrivePips = input.int(0, title="Wick Overdrive Range (pips)", minval=0)
// turn Robin candles on/off
enableRobin = input.bool(true, title="Enable Robin Candles")
// ATR panel attached to 4H info
showPrevDayATR = input.bool(true, title="Show Previous Day ATR Panel")
atrLenPrevDay = input.int(14, title="ATR Length (Daily)", minval=1)
atrPanelOffsetPips = input.int(3, title="ATR Panel Offset Above 4H Info (pips)", minval=0)
// ─── STRATEGY TRADES (EMA200 SL, RR=2 TP) ───────────────────────────────────
enableAutoTrades = input.bool(true, title="Enable Strategy Entries/Exits")
takeProfitRR = input.float(2.0, title="TP Risk:Reward (x)", step=0.1, minval=0.1)
// ─── SL/TP info label on signals ─────────────────────────────────────────────
showSLTPPanel = input.bool(true, title="Show SL/TP Info Above Signals")
sltpOffsetPips = input.int(4, title="SL/TP Label Offset (pips)", minval=0)
// Previous Day ATR (D1, lookahead OFF) -> lock to yesterday with
dailyATR = request.security(syminfo.tickerid, "D", ta.atr(atrLenPrevDay),
lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_off)
prevDayATR = dailyATR
// Convert to pips (FX: pip ≈ mintick*10)
pipValueFX = syminfo.mintick * 10.0
prevATR_pips_1d = na(prevDayATR) ? na : math.round((prevDayATR / pipValueFX) * 10.0) / 10.0
// Create table once
var table atrPanel = na
if barstate.isfirst and na(atrPanel)
// columns=1, rows=2 (title row + value row)
atrPanel := table.new(position.top_right, 1, 2, border_width=1,
frame_color=color.new(color.gray, 0), border_color=color.new(color.gray, 0))
// Update cells each last bar
if barstate.islast and not na(atrPanel)
if showPrevDayATR
titleTxt = "Prev Day ATR (" + str.tostring(atrLenPrevDay) + ")"
valTxt = na(prevDayATR) ? "n/a"
: str.tostring(prevATR_pips_1d) + " pips (" + str.tostring(prevDayATR, format.mintick) + ")"
table.cell(atrPanel, 0, 0, titleTxt, text_color=color.white, bgcolor=color.new(color.blue, 25))
table.cell(atrPanel, 0, 1, valTxt, text_color=color.white, bgcolor=color.new(color.black, 0))
else
// Hide panel by writing empty strings
table.cell(atrPanel, 0, 0, "")
table.cell(atrPanel, 0, 1, "")
// Visuals for orders
showSLTP = input.bool(true, title="Show SL/TP Lines & Labels")
// ─── EMA CALCULATIONS & PLOTTING ──────────────────────────────────────────────
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema100 = ta.ema(close, 100)
ema200 = ta.ema(close, 200)
ema50_1h = request.security(syminfo.tickerid, "60", ta.ema(close, 50), lookahead=barmerge.lookahead_on)
plot(ema20, color=color.white, linewidth=4, title="EMA20")
plot(ema50, color=color.yellow, linewidth=4, title="EMA50")
plot(ema100, color=color.blue, linewidth=4, title="EMA100")
plot(ema200, color=color.purple, linewidth=6, title="EMA200") // ← and this
plot(ema50_1h, title="EMA50 (1H)", color=color.yellow, linewidth=2)
// pip-unit helper
pipUnit1h = syminfo.mintick * proxRangePips * 10
upperBand1h = ema50_1h + pipUnit1h
lowerBand1h = ema50_1h - pipUnit1h
// draw top/bottom lines in one-liner plots, then fill the gap
p_top = plot(enableProxFilter ? upperBand1h : na, title="Prox Zone Top", color=color.new(color.yellow,90), linewidth=1)
p_bottom = plot(enableProxFilter ? lowerBand1h : na, title="Prox Zone Bottom", color=color.new(color.yellow,90), linewidth=1)
fill(p_top, p_bottom, color.new(color.yellow,90))
// ─── BUBBLE CONDITIONS & ZONES ───────────────────────────────────────────────
longBub = ema20 > ema50 and ema50 > ema100
shortBub = ema20 < ema50 and ema50 < ema100
consolOn = not longBub and not shortBub
longCol = color.new(color.green, 85)
shortCol = color.new(color.red, 85)
consCol = color.new(color.orange, 85)
bgcolor(showZones ? (longBub ? longCol : shortBub ? shortCol : consCol) : na)
// convert pips to price‐units
wickOverUnit = syminfo.mintick * wickOverdrivePips * 10
// detect when the wick “pierces” EMA50 by more than that amount
overdriveLong = low < ema50 - wickOverUnit // long bubble: wick dipped below EMA50
overdriveShort = high > ema50 + wickOverUnit // short bubble: wick rose above EMA50
// ─── GOLDEN-CANDLE LOGIC & COLORING ──────────────────────────────────────────
trendLong = longBub
trendShort = shortBub
bodySize = math.abs(close - open)
hasBigBody = bodySize >= minBodySize
bodyLow = math.min(open, close)
bodyHigh = math.max(open, close)
wickLow = low
wickHigh = high
bOK20_L = bodyLow <= ema20 + pipBodyTol and bodyLow >= ema20 - maxBodyDrive and close > ema20
bOK50_L = bodyLow <= ema50 + pipBodyTol and bodyLow >= ema50 - maxBodyDrive and close > ema50
wOK20_L = wickLow <= ema20 + pipWickTol and wickLow >= ema20 - maxWickDrive and close > ema20
wOK50_L = wickLow <= ema50 + pipWickTol and wickLow >= ema50 - maxWickDrive and close > ema50
isGoldenLong = trendLong and hasBigBody and (bOK20_L or bOK50_L or wOK20_L or wOK50_L)
bOK20_S = bodyHigh >= ema20 - pipBodyTol and bodyHigh <= ema20 + maxBodyDrive and close < ema20
bOK50_S = bodyHigh >= ema50 - pipBodyTol and bodyHigh <= ema50 + maxBodyDrive and close < ema50
wOK20_S = wickHigh >= ema20 - pipWickTol and wickHigh <= ema20 + maxWickDrive and close < ema20
wOK50_S = wickHigh >= ema50 - pipWickTol and wickHigh <= ema50 + maxWickDrive and close < ema50
isGoldenShort= trendShort and hasBigBody and (bOK20_S or bOK50_S or wOK20_S or wOK50_S)
// ─── WICK-OVERDRIVE VETO ────────────────────────────────────────────────────
if enableWickFilter
// veto any golden on which the wick over-drove the EMA50
isGoldenLong := isGoldenLong and not overdriveLong
isGoldenShort := isGoldenShort and not overdriveShort
barcolor((isGoldenLong or isGoldenShort) ? color.new(#FFD700, 0) : na)
// ─── ROBIN CANDLES ──────────────────────────────────────────────────────────
goldShort1 = isGoldenShort
goldLong1 = isGoldenLong
goldLow1 = math.min(open , close )
goldHigh1 = math.max(open , close )
robinShort = shortBub and goldShort1 and math.min(open, close) < goldLow1
robinLong = longBub and goldLong1 and math.max(open, close) > goldHigh1
barcolor(enableRobin and (robinShort or robinLong) ? color.purple : na)
// ─── FRACTALS ─────────────────────────────────────────────────────────────────
pL = ta.pivotlow(low, 2, 2)
pH = ta.pivothigh(high, 2, 2)
plotshape(not shortBub and not consolOn and not na(pL) and fractalSizeOpt == "tiny",
style=shape.triangleup, location=location.belowbar, offset=-2, color=color.green, size=size.tiny)
plotshape(not shortBub and not consolOn and not na(pL) and fractalSizeOpt == "small",
style=shape.triangleup, location=location.belowbar, offset=-2, color=color.green, size=size.small)
plotshape(not shortBub and not consolOn and not na(pL) and fractalSizeOpt == "normal",
style=shape.triangleup, location=location.belowbar, offset=-2, color=color.green, size=size.normal)
plotshape(not shortBub and not consolOn and not na(pL) and fractalSizeOpt == "large",
style=shape.triangleup, location=location.belowbar, offset=-2, color=color.green, size=size.large)
plotshape(not longBub and not consolOn and not na(pH) and fractalSizeOpt == "tiny",
style=shape.triangledown, location=location.abovebar, offset=-2, color=color.red, size=size.tiny)
plotshape(not longBub and not consolOn and not na(pH) and fractalSizeOpt == "small",
style=shape.triangledown, location=location.abovebar, offset=-2, color=color.red, size=size.small)
plotshape(not longBub and not consolOn and not na(pH) and fractalSizeOpt == "normal",
style=shape.triangledown, location=location.abovebar, offset=-2, color=color.red, size=size.normal)
plotshape(not longBub and not consolOn and not na(pH) and fractalSizeOpt == "large",
style=shape.triangledown, location=location.abovebar, offset=-2, color=color.red, size=size.large)
// ─── BUY/SELL SIGNALS & LIMIT ─────────────────────────────────────────────────
var int buyCount = 0
var int sellCount = 0
if longBub and not longBub
buyCount := 0
if shortBub and not shortBub
sellCount := 0
goldLong2 = isGoldenLong
goldShort2 = isGoldenShort
roofCheck = math.max(open , close ) >= math.max(open , close )
floorCheck = math.min(open , close ) <= math.min(open , close )
buySignal = goldLong2 and not na(pL) and roofCheck
sellSignal = goldShort2 and not na(pH) and floorCheck
// Original: inSession = not na(time(timeframe.period, sessionInput, actualTZ))
inSessionRaw = not na(time(timeframe.period, sessionInput, actualTZ))
sessionOK = enableSessionFilter ? inSessionRaw : true
// Apply 1H EMA50 filter
disableBy1h = enable1hEmaFilter and ((request.security(syminfo.tickerid, "60", ema20 ema50_1h) or (request.security(syminfo.tickerid, "60", ema20>ema50 and ema50>ema100) and close < ema50_1h))
// ─── PROXIMITY VETO ────────────────────────────────────────────────
near1hZone = enableProxFilter and close >= lowerBand1h and close <= upperBand1h
validBuy = buySignal and sessionOK and buyCount < maxSignalsPerBubble and not disableBy1h and not near1hZone
validSell = sellSignal and sessionOK and sellCount < maxSignalsPerBubble and not disableBy1h and not near1hZone
plotshape(validBuy, title="BUY", style=shape.labelup, location=location.belowbar,
color=color.green, text="BUY $", textcolor=color.white, size=size.large)
plotshape(validSell, title="SELL", style=shape.labeldown, location=location.abovebar,
color=color.red, text="SELL $", textcolor=color.white, size=size.large)
if validBuy
buyCount += 1
if validSell
sellCount += 1
// ─── 4H BUBBLE INFO LINE ──────────────────────────────────────────────────────
var line infoLine4h = na
var label infoLbl4h = na
var label atrPrevLbl = na // ATR label handle
var string bubble4hType = na
var int bubble4hStartTime = na
var int bubble4hStartIdx = na
time4h = request.security(syminfo.tickerid, "240", time, lookahead=barmerge.lookahead_on)
ema20_4h = request.security(syminfo.tickerid, "240", ta.ema(close, 20), lookahead=barmerge.lookahead_on)
ema50_4h = request.security(syminfo.tickerid, "240", ta.ema(close, 50), lookahead=barmerge.lookahead_on)
ema100_4h = request.security(syminfo.tickerid, "240", ta.ema(close,100), lookahead=barmerge.lookahead_on)
long4h = ema20_4h > ema50_4h and ema50_4h > ema100_4h
short4h = ema20_4h < ema50_4h and ema50_4h < ema100_4h
cons4h = not long4h and not short4h
if long4h and not long4h
bubble4hType := "LONG"
bubble4hStartTime := time4h
bubble4hStartIdx := bar_index
else if short4h and not short4h
bubble4hType := "SHORT"
bubble4hStartTime := time4h
bubble4hStartIdx := bar_index
else if cons4h and not cons4h
bubble4hType := "CONS"
bubble4hStartTime := time4h
bubble4hStartIdx := bar_index
active4h = ((bubble4hType=="LONG" and long4h) or (bubble4hType=="SHORT" and short4h) or (bubble4hType=="CONS" and cons4h)) and not na(bubble4hStartTime)
if active4h
durH4 = math.floor((time - bubble4hStartTime) / 3600000)
ts4 = str.format("{0,date,yyyy-MM-dd} {0,time,HH:mm}", bubble4hStartTime)
txt4 = "4H " + bubble4hType + " Bubble since " + ts4 + " Dur: " + str.tostring(durH4) + "h"
col4 = bubble4hType=="LONG" ? color.green : bubble4hType=="SHORT" ? color.red : color.orange
pipUnit4 = syminfo.mintick * 10
infoPrice4 = high + (infoOffsetPips + warnOffsetPips + 5) * pipUnit4
xStart4 = math.max(bubble4hStartIdx, bar_index - bufferLimit)
if na(infoLine4h)
infoLine4h := line.new(xStart4, infoPrice4, bar_index, infoPrice4, extend=extend.none, color=col4, width=2)
else
line.set_xy1(infoLine4h, xStart4, infoPrice4)
line.set_xy2(infoLine4h, bar_index, infoPrice4)
line.set_color(infoLine4h, col4)
if na(infoLbl4h)
infoLbl4h := label.new(bar_index, infoPrice4, txt4, xloc.bar_index, yloc.price, col4, label.style_label_left, color.white, size.small)
else
label.set_xy(infoLbl4h, bar_index, infoPrice4)
label.set_text(infoLbl4h, txt4)
label.set_color(infoLbl4h, col4)
// Prev Day ATR label just above the 4H info panel
if showPrevDayATR
atrValTxt = na(prevDayATR) ? "n/a" : str.tostring(prevATR_pips_1d) + " pips (" + str.tostring(prevDayATR, format.mintick) + ")"
atrTxt = "Prev Day ATR (" + str.tostring(atrLenPrevDay) + ") " + atrValTxt
atrY = infoPrice4 + pipUnit4 * atrPanelOffsetPips
if na(atrPrevLbl)
atrPrevLbl := label.new(bar_index, atrY, atrTxt, xloc.bar_index, yloc.price, color.new(color.blue, 25), label.style_label_left, color.white, size.small)
else
label.set_xy(atrPrevLbl, bar_index, atrY)
label.set_text(atrPrevLbl, atrTxt)
label.set_color(atrPrevLbl, color.new(color.blue, 25))
else
if not na(atrPrevLbl)
label.delete(atrPrevLbl)
atrPrevLbl := na
else
// Cleanup when 4H panel is not active
if not na(infoLine4h)
line.delete(infoLine4h)
infoLine4h := na
if not na(infoLbl4h)
label.delete(infoLbl4h)
infoLbl4h := na
bubble4hType := na
if not na(atrPrevLbl)
label.delete(atrPrevLbl)
atrPrevLbl := na
// ─── 1H BUBBLE INFO & WARNING PANEL ─────────────────────────────────────────
var line infoLine1h = na
var label infoLbl1h = na
var label warnLbl1h = na
var string bubble1hType = na
var int bubble1hStartTime = na
var int bubble1hStartIdx = na
var float pipUnit = na
var color col = na
var int xStart = na
var float infoPrice = na
var string txt = ""
// 1H trend state (kept same logic as your original)
long1h = request.security(syminfo.tickerid, "60", ema20>ema50 and ema50>ema100, lookahead=barmerge.lookahead_on)
short1h = request.security(syminfo.tickerid, "60", ema20 ema50_1h
warnY = infoPrice1h + warnOffsetPips * pipUnit1h
if na(warnLbl1h)
warnLbl1h := label.new(bar_index, warnY, "Potential Consolidation Warning",
xloc.bar_index, yloc.price, color.new(color.yellow,0),
label.style_label_up, color.black, size.small)
else
label.set_xy(warnLbl1h, bar_index, warnY)
label.set_text(warnLbl1h, "Potential Consolidation Warning")
else
if not na(warnLbl1h)
label.delete(warnLbl1h)
warnLbl1h := na
else
if not na(infoLine1h)
line.delete(infoLine1h)
infoLine1h := na
if not na(infoLbl1h)
label.delete(infoLbl1h)
infoLbl1h := na
if not na(warnLbl1h)
label.delete(warnLbl1h)
warnLbl1h := na
bubble1hType := na
// ─── ALERTS ─────────────────────────────────────────────────────────────────
alertcondition(validBuy, title="Jimb0ws Strategy – BUY", message="🔥 BUY signal on {{ticker}} at {{close}}")
alertcondition(validSell, title="Jimb0ws Strategy – SELL", message="🔻 SELL signal on {{ticker}} at {{close}}")
if validBuy
alert("🔥 BUY signal on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close)
if validSell
alert("🔻 SELL signal on " + syminfo.ticker + " at " + str.tostring(close), alert.freq_once_per_bar_close)
// ─── SL/TP drawing handles (globals) ────────────────────────────────────────
var line slLine = na
var line tpLine = na
var label slLabel = na
var label tpLabel = na
var float slPrice = na
var float tpPrice = na
// Working vars so they exist on all bars
var float longEntry = na
var float longSL = na
var float longTP = na
var float riskL = na
var float shortEntry = na
var float shortSL = na
var float shortTP = na
var float riskS = na
// last SL/TP info label so we can replace it each time
var label sltpInfoLbl = na
// ─── Draw SL/TP info label exactly when a signal fires ──────────────────────
if showSLTPPanel and (validBuy or validSell)
// delete prior info label
if not na(sltpInfoLbl)
label.delete(sltpInfoLbl)
float pipUnit = syminfo.mintick * 10.0
float yAbove = high + sltpOffsetPips * pipUnit
// Entry is the close of the signal bar
float entry = close
// Choose SL by your rule:
// - LONG: if ema200 > ema100 -> SL = ema100, else SL = ema200
// - SHORT: if ema200 < ema100 -> SL = ema100, else SL = ema200
bool isLong = validBuy
float sl = isLong ? (ema200 > ema100 ? ema100 : ema200)
: (ema200 < ema100 ? ema100 : ema200)
// Compute TP using RR; guard for bad risk
float rr = takeProfitRR // your RR input (e.g., 2.0)
float risk = isLong ? (entry - sl) : (sl - entry)
float tp = na
if risk > syminfo.mintick
tp := isLong ? (entry + rr * risk) : (entry - rr * risk)
// Build label text (mintick formatting)
string slTxt = "SL " + str.tostring(sl, format.mintick)
string tpTxt = na(tp) ? "TP n/a" : "TP " + str.tostring(tp, format.mintick)
string txt = slTxt + " " + tpTxt
// Color by side and draw
color bgCol = isLong ? color.new(color.green, 10) : color.new(color.red, 10)
sltpInfoLbl := label.new(bar_index, yAbove, txt,
xloc.bar_index, yloc.price,
bgCol, label.style_label_left, color.white, size.small)
// ─── ORDERS: dynamic SL (EMA100 vs EMA200), TP = RR * risk + draw SL/TP ─────
if enableAutoTrades and barstate.isconfirmed and not na(ema100) and not na(ema200)
// LONGS — if EMA200 > EMA100 ⇒ SL = EMA100; else ⇒ SL = EMA200
if validBuy and strategy.position_size <= 0
longEntry := close
longSL := ema200 > ema100 ? ema100 : ema200
if longSL < longEntry - syminfo.mintick
riskL := longEntry - longSL
longTP := longEntry + takeProfitRR * riskL
if strategy.position_size < 0
strategy.close("Short", comment="Flip→Long")
strategy.entry("Long", strategy.long)
strategy.exit("Long-EXIT", from_entry="Long", stop=longSL, limit=longTP)
// store & draw
slPrice := longSL
tpPrice := longTP
if showSLTP
if not na(slLine)
line.delete(slLine)
if not na(tpLine)
line.delete(tpLine)
if not na(slLabel)
label.delete(slLabel)
if not na(tpLabel)
label.delete(tpLabel)
// lines
slLine := line.new(bar_index, slPrice, bar_index + 1, slPrice, extend=extend.right, color=color.red, width=2)
tpLine := line.new(bar_index, tpPrice, bar_index + 1, tpPrice, extend=extend.right, color=color.green, width=2)
// labels with exact prices
slLabel := label.new(bar_index + 1, slPrice, "SL " + str.tostring(slPrice, format.mintick), xloc.bar_index, yloc.price, color.new(color.red, 10), label.style_label_right, color.white, size.small)
tpLabel := label.new(bar_index + 1, tpPrice, "TP " + str.tostring(tpPrice, format.mintick), xloc.bar_index, yloc.price, color.new(color.green, 10), label.style_label_right, color.white, size.small)
// SHORTS — if EMA200 < EMA100 ⇒ SL = EMA100; else ⇒ SL = EMA200
if validSell and strategy.position_size >= 0
shortEntry := close
shortSL := ema200 < ema100 ? ema100 : ema200
if shortSL > shortEntry + syminfo.mintick
riskS := shortSL - shortEntry
shortTP := shortEntry - takeProfitRR * riskS
if strategy.position_size > 0
strategy.close("Long", comment="Flip→Short")
strategy.entry("Short", strategy.short)
strategy.exit("Short-EXIT", from_entry="Short", stop=shortSL, limit=shortTP)
// store & draw
slPrice := shortSL
tpPrice := shortTP
if showSLTP
if not na(slLine)
line.delete(slLine)
if not na(tpLine)
line.delete(tpLine)
if not na(slLabel)
label.delete(slLabel)
if not na(tpLabel)
label.delete(tpLabel)
slLine := line.new(bar_index, slPrice, bar_index + 1, slPrice, extend=extend.right, color=color.red, width=2)
tpLine := line.new(bar_index, tpPrice, bar_index + 1, tpPrice, extend=extend.right, color=color.green, width=2)
slLabel := label.new(bar_index + 1, slPrice, "SL " + str.tostring(slPrice, format.mintick), xloc.bar_index, yloc.price, color.new(color.red, 10), label.style_label_right, color.white, size.small)
tpLabel := label.new(bar_index + 1, tpPrice, "TP " + str.tostring(tpPrice, format.mintick), xloc.bar_index, yloc.price, color.new(color.green, 10), label.style_label_right, color.white, size.small)
// Keep labels pinned to the right of current bar while trade is open
if showSLTP and strategy.position_size != 0 and not na(slPrice) and not na(tpPrice)
label.set_xy(slLabel, bar_index + 1, slPrice)
label.set_text(slLabel, "SL " + str.tostring(slPrice, format.mintick))
label.set_xy(tpLabel, bar_index + 1, tpPrice)
label.set_text(tpLabel, "TP " + str.tostring(tpPrice, format.mintick))
// Clean up drawings when flat
if strategy.position_size == 0
slPrice := na
tpPrice := na
if not na(slLine)
line.delete(slLine)
slLine := na
if not na(tpLine)
line.delete(tpLine)
tpLine := na
if not na(slLabel)
label.delete(slLabel)
slLabel := na
if not na(tpLabel)
label.delete(tpLabel)
tpLabel := na
Iriza4 -DAX EMA+HULL+ADX TP40 SL205 MIN SKALP. Additional filters improve accuracy: the strategy blocks trades after too many consecutive bullish or bearish candles (streak filter) and ignores signals when price is too far from the EMA (measured by ATR distance).
Each position uses a fixed risk-to-reward ratio of 1 : 2 with clear stop-loss and take-profit targets, without partial exits or breakevens. The goal is to identify clean pullbacks inside strong trends and filter out late or exhausted entries
XAUUSD 5m — CET 13:00→01:00 Supertrend + RSI (1:2 RR) — $240KThis strategy is designed for XAUUSD (Gold) on the 5-minute chart, optimized for trading during the most active hours (13:00–01:00 CET).
It combines a Supertrend direction filter with RSI crossovers for precise entries, and applies a 1:2 risk–reward ratio for consistent risk management.
🧠 Logic Overview:
Buy Signal: RSI crosses above 55 while Supertrend is bullish
Sell Signal: RSI crosses below 45 while Supertrend is bearish
Trading Hours: 13:00 → 01:00 CET (corresponding to 07:00 → 19:00 New York time)
Risk Management: Fixed 1:2 RR (TP = 2× SL distance from Supertrend line)
Session Management: Automatically closes all trades after 01:00 CET
Order Size: $240,000 notional exposure per position
💡 Best used for:
Scalping or intraday trading on XAUUSD during high-volatility hours.
The setup works best when combined with strong price action or volume confirmation.
⚠️ Disclaimer:
This script is for educational and testing purposes only.
Past performance does not guarantee future results.
Always test on demo before using live funds.
Trendline Breakout Strategy Strategy should place entries & exits so that it can be backtested (use strategy.entry and strategy.exit with explicit stop and limit prices). Include an option for fixed percent position sizing and an option for fixed contract size. Draw the trendline on the chart (with option to hide/show) and add labels that show: bias (Bull/Bear), trendline slope, entry price, SL, TP and the reason (e.g., "Trendline Breakout"). Provide user inputs for: EMA length (default 200), lookback for pivot detection, pivot sensitivity (left/right bars), quantity mode (percent / contracts), risk percent or fixed size, enable/disable backtest prints, and enable alerts. Avoid repainting: use confirmed pivot logic (pivot detection must use completed bars) and only take entry after breakout confirmed on close. Document any limitations (for example, trendline using two highest/highest bars inside lookback is approximate). Add clear comments, helpful variable names, and include example alertcondition lines for entry and exit signals.
Pitchfork-Trading Friendsuses the pitchfork to give entry and exit zones, and gives a net overall summary for a beginner trader to enter into.
SuperBulls - Heiken Ashi StrategyA streamlined, trade-ready strategy from the SuperBulls universe that turns noisy charts into clear decisions. It combines a smoothed price view, adaptive momentum gating, and a dynamic support/resistance overlay so you can spot high-probability turns without overthinking every candle. Entries and exits are signalled visually and designed to work with simple position sizing — perfect for discretionary traders and systematic setups alike.
Why traders like it
Clean visual signals reduce analysis paralysis and speed up decision-making.
Built-in momentum filter helps avoid chop and chase only the stronger moves.
Dynamic S/R zones provide objective areas for targets and stop placement.
Works with simple risk rules — position sizing and pyramiding kept conservative by default.
Who it’s for
Traders who want a reliable, low-friction strategy to trade intraday or swing setups without rebuilding indicators from scratch. Minimal tuning required; plug in your size and let the SuperBulls logic do the heavy lifting.
Use it, don’t overfit it, and try not to blame the indicator when you ignore risk management.
FVG Donchian Channel strategy30min FVG + Donchian Channel strategy
buy sell by 30min fvg
and stoploss , take profit by Donchian Channel
Run the strategy on the 1min timeframe!
FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL
Summary in one paragraph
FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close.
Scope and intent
• Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs
• Timeframes. One minute to daily
• Default demo used in the publication. SPY on 30min
• Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state
• Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes
• Testability. All windows and gains are inputs
• Portable yardstick. Returns use natural log units and range is bar high minus low
• Protected scripts. Not used. Method disclosed plainly here
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion
Components
• Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized
• Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression
• Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves
• Energy score. Z scores of the above form a single energy that controls the state gain
• One bar projection. Current slope extended by one bar for anticipatory checks
Fusion rule
Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push.
Signal rule
• Long suggestion and order when close is below trend and the one bar projection is above the trend
• Short suggestion and flip when close is above trend and the one bar projection is below the trend
• WAIT is implicit when neither condition holds
• In position states end on the opposite condition
What you will see on the chart
• Colored trendline teal for rising red for falling gray for flat
• Optional projection line one bar ahead
• Optional background can be enabled in code
• Alerts on price cross and on slope flips
Inputs with guidance
Setup
• Price source. Close by default
Logic
• Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips
• Vol window. Typical range 30 to 120. Higher calms curvature
• Energy window. Typical range 20 to 80. Higher slows regime changes
• Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop
UI
• Show 1 bar projection. Colors for up down flat
Properties visible in this publication
• Initial capital 25000
• Base currency USD
• Commission percent 0.03
• Slippage 5
• Default order size method percent of equity value 3%
• Pyramiding 0
• Process orders on close off
• Calc on every tick off
• Recalculate after order is filled off
Realism and responsible publication
• No performance claims
• Intrabar reminder. Shapes can move while a bar forms and settle on close
• Strategy uses standard candles only
Honest limitations and failure modes
• Sudden gaps and thin liquidity can still produce fast flips
• Very quiet regimes reduce contrast. Use larger windows and lower max gain
• Session time uses the exchange time of the chart if you enable any windows later
• Past results never guarantee future outcomes
Open source reuse and credits
• None
VWAP & Band Cross Strategy v6VWAP & Band Cross Strategy v6: Script Summary
This Pine Script implements a highly flexible, multi-layered trading strategy centered around the Volume Weighted Average Price (VWAP) and its associated Standard Deviation Bands.
The strategy is designed to test various entry/exit models based on how the price interacts with the central VWAP line and the upper/lower volatility bands, with extensive risk management and confirmation filters.
1. Core Mechanics (VWAP & Bands)
VWAP Calculation: Calculates the VWAP based on a user-defined source (default is the close price).
Standard Deviation Bands: Creates upper and lower bands by calculating the standard deviation of the price (over 20 periods by default) and multiplying it by a user-defined Multiplier (default is 2.0). These bands dynamically expand and contract with volatility.
Plotting: The script clearly plots the VWAP (purple), the Upper Band (green), and the Lower Band (red), with a colored fill between the bands.
2. Entry Triggers
The core entry logic is based on a single, user-selected cross event between the price and the VWAP/Bands. The user can choose from six predefined entry types:
Entry Type Category
Entry Trigger (Long)
Entry Trigger (Short)
Mean Reversion
Price crosses over the Lower Band.
Price crosses under the Upper Band.
Trend Following
Price crosses over the Upper Band (Breakout).
Price crosses under the Lower Band (Breakout).
VWAP Cross
Price crosses over the VWAP.
Price crosses under the VWAP.
3. Filters and Confirmation
Trades are only executed if they pass a series of optional filters, making the strategy highly customizable:
Technical Confirmation (Optional): Users can enable and configure up to three additional indicators that must align with the trade direction:
RSI: Price must be Oversold (for Long) or Overbought (for Short).
SMMA: Price must be above the SMMA (for Long) or below (for Short).
MACD: MACD line must cross the Signal line and the Histogram must be positive/negative.
Time and Day Filters: Trades are restricted to a defined Entry Start/End Hour/Minute window, and only execute on user-selected Trading Days of the week.
Trade Direction: Can be toggled to execute Long Only, Short Only, or Both.
4. Advanced Risk Management (Daily Limits)
The strategy incorporates robust daily limits that reset at a configured Daily Reset Hour/Minute:
Daily Profit/Loss Limits: If the running total of Realized PnL (closed trades) + Unrealized PnL (open position) exceeds a user-defined Daily Take Profit (in Ticks) or falls below the Daily Stop Loss (in Ticks), the strategy locks out new trades and immediately closes any open position.
Max Daily Trades: Prevents the strategy from entering more than a specified number of trades per day.
5. Exit Logic
The strategy exit is also highly configurable via the Exit Type setting:
Fixed Ticks / ATR / Capped ATR: If one of these is selected, the script calculates a static Stop Loss and Take Profit level upon entry, using either fixed tick values or dynamic values based on the Average True Range (ATR), which are then executed using Pine Script's strategy.exit function.
Cross Exits (VWAP/Bands): If selected, the position is closed when the price crosses the VWAP or a specific band in the opposite direction.
End-of-Day Close: An unconditional exit that closes all open positions at a user-defined Close All Hour/Minute, regardless of profit/loss or limit status, preventing positions from being held overnight.
SB LONG ENTRY/EXITBASED on HULL slope average. ISN'T IT VERY ROBUST?
Very good for daily, weekly and monthly timeframes. Stocks especially.....
I prefer it without optonal stop loss on other position protection stops.
Wonderful both equal weight position or with a D'alembert style weighting of positions....
Hold the Hull period parameter between 30 and 60 or more, but it's not so sensitive to this optimization.
All the best,
Sandro Bisotti
Entry / exit zones (only long positions)Great and simple helping tool to find good entry/exit point for mid/long term trading on stocks especially but also indexes and other..... Good on daily timeframe, but better with weekly and monthly. Based on Hull average slope. Hold the average period value among 30 and 50 or more. I prefer the version WITHOUT stop loss and other exit rules (optional).
All the best and good trading!
SB
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview
The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms.
This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades.
How It Works
Core Signal Generation:
The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag:
Calculate lag period: floor((length - 1) / 2)
Apply lag correction: src + (src - src )
Calculate ZLEMA: EMA of lag-corrected price
Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries.
Trend Detection:
The strategy maintains a trend variable that switches between bullish (1) and bearish (-1):
Long Signal: Triggers when price crosses above ZLEMA + volatility band
Short Signal: Triggers when price crosses below ZLEMA - volatility band
Optional ZLEMA Trend Confirmation:
When enabled, this filter requires ZLEMA to show directional momentum before entry:
Bullish Confirmation: ZLEMA must increase for 4 consecutive bars
Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars
This additional filter helps avoid false signals in choppy or ranging markets.
Risk Management Features:
The strategy includes multiple stop-loss and take-profit mechanisms:
Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band
ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier)
ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position
Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance
Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio
Trend-Based Exit: Closes position when price crosses EMA in opposite direction
Performance Tracking:
The strategy includes optional features for monitoring and analyzing trades:
Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown
Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade
CSV Export Fields: Outputs trade data for external analysis
Default Strategy Settings
Commission & Slippage:
Commission: 0.1% per trade
Slippage: 3 ticks
Initial Capital: $1,000
Position Size: 100% of equity per trade
Main Calculation Parameters:
Length: 70 (range: 70-7000) - Controls ZLEMA calculation period
Band Multiplier: 1.2 - Adjusts width of volatility bands
Entry Conditions (All Disabled by Default):
Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum
Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends
Short Trades:
Allow Short Trades: OFF - Strategy is long-only by default
Performance Settings (All Disabled by Default):
Use Profit Target: OFF
Profit Target Risk-Reward Ratio: 2.0 (when enabled)
Dynamic TP/SL (All Disabled by Default):
Use ATR-Based Stop-Loss & Take-Profit: OFF
ATR Length: 14
Stop-Loss ATR Multiplier: 1.5
Profit Target ATR Multiplier: 2.5
Use ATR Trailing Stop: OFF
Trailing Stop ATR Multiplier: 1.5
Use Break-Even Stop-Loss: OFF
Move SL to Break-Even After RR: 1.5
Use Trend-Based Take Profit: OFF
EMA Exit Length: 9
Trade Data Display (All Disabled by Default):
Show Floating Stats Table: OFF
Show Trade Log Labels: OFF
Enable CSV Export: OFF
Trade Label Vertical Offset: 0.5
Backtesting Date Range:
Start Date: January 1, 2018
End Date: December 31, 2069
Important Usage Notes
Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled.
Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled.
Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions.
Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting.
Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used.
Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid.
Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance.
Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions.
Recommended Use Cases
Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel
Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping
Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level
Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations
Limitations & Considerations
Like all trend-following strategies, performance may suffer in choppy or ranging markets
Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management
Higher length values (70+) reduce signal frequency but may improve signal quality
Multiple simultaneous risk management features may create conflicting exit signals
Past performance shown in backtests does not guarantee future results
Customization Tips
For more aggressive trading:
Reduce length parameter (minimum 70)
Decrease band multiplier for tighter bands
Enable short trades
Use lower profit target R:R ratios
For more conservative trading:
Increase length parameter
Enable ZLEMA trend confirmation
Use wider ATR stop-loss multipliers
Enable break-even stop-loss
Reduce position size from 100% default
For optimal choppy market performance:
Enable ZLEMA trend confirmation
Increase band multiplier
Use tighter profit targets
Avoid re-entry on trend continuation
Visual Elements
The strategy plots several elements on the chart:
ZLEMA line (color-coded by trend direction)
Upper and lower volatility bands
Long entry markers (green triangles)
Short entry markers (red triangles, when enabled)
Stop-loss levels (when positions are open)
Take-profit levels (when enabled and positions are open)
Trailing stop lines (when enabled and positions are open)
Optional ZLEMA trend markers (triangles at highs/lows)
Optional trade log labels showing complete trade information
Exit Reason Codes (for CSV Export)
When CSV export is enabled, exit reasons are coded as:
0 = Manual/Other
1 = Trailing Stop-Loss
2 = Profit Target
3 = ATR Stop-Loss
4 = Trend Change
Conclusion
Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms.
The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization.
Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size.
================================================================================
TAGS:
================================================================================
trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting
================================================================================
CATEGORY:
================================================================================
Strategies
================================================================================
CHART SETUP RECOMMENDATIONS:
================================================================================
For optimal visualization when publishing:
Use a clean chart with no other indicators overlaid
Select a timeframe that shows multiple trade signals (4H or Daily recommended)
Choose a trending asset (crypto, forex major pairs, or trending stocks work well)
Show at least 6-12 months of data to demonstrate strategy across different market conditions
Enable the floating stats table to display key performance metrics
Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible
Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc.
Make sure symbol information and timeframe are clearly visible
================================================================================
COMPLIANCE NOTES:
================================================================================
✅ Open-source publication with complete code visibility
✅ English-only title and description
✅ Detailed explanation of methodology and calculations
✅ Realistic commission (0.1%) and slippage (3 ticks) included
✅ All default parameters clearly documented
✅ Performance limitations and risks disclosed
✅ No unrealistic claims about performance
✅ No guaranteed results promised
✅ Appropriate for public library (original trend-following implementation with ZLEMA)
✅ Educational disclaimers included
✅ All features explained in detail
================================================================================
HV Spike Strategy (HVP + OR Breakout + Reversal + TP/SL Modes)Here is a script that I tried to make it simple, although it has several parameters, I will try to explain, here we go:
Logic: Open Range Breakout: otherwise knows as First Candle Rule, usually used for the first candle in the opening of a market session, in my strategy there is an option to use it even for Crypto that operate 24/7, how to do that? Simply by detecting Volatility from the HVP (Historical Volatility Percentile). Then the ORB logic kicks in and the first candle with high volatility gives the ranges for the trades. The proper HVP Activation Threshold has to be selected for each currency pair/index/crypto in order to have maximum profit.
Enter a trade: when the price goes 100% above/below the First Candle Rule Range. That way it is filtering fake breakouts. Also if the price reverses back into the range the strategy takes the opposite trade.
Exit a trade: SL/TP By percentage or ATR, selection in the input menu.
My intention is to avoid using lagging indicators or guessing of Price Action, purely Bull/Bear indication by the first candle.
I hope you find this helpful! Wishing all successful Trades!
BB LONG 2BX & FVB StrategyThis Strategy is optimized for the 2h timeframe. Happy Charting and you're welcome!
**BB LONG 2BX & FVB Strategy – Simple Text Guide**
---
### **What It Does**
A **long-only trading strategy** that:
- Enters on **strong upward momentum**
- Adds a second position when the trend gets stronger
- Takes profits in parts at **smart price levels**
- Exits fully if the trend weakens or reverses
---
### **Main Tools Used**
| Tool | Simple Meaning |
|------|----------------|
| **B-Xtrender (Oscillator)** | Measures speed of price move. Above 0 = bullish, below 0 = bearish |
| **Weekly & Monthly Timeframes** | Checks if higher timeframes agree with the trade |
| **Red ATR Line** | A moving stop-loss that follows price up |
| **Fair Value Bands (1x, 2x, 3x)** | Profit targets that adjust to market volatility |
---
### **When It Enters a Trade (Long)**
**First Entry:**
- Weekly momentum is **rising**
- Monthly momentum is **positive or increasing**
- No current position
**Second Entry (Pyramiding):**
- Already in trade
- Price breaks **above the Red ATR line** → add same size again
(Max 2 total entries)
---
### **When It Takes Profit (Scaling Out)**
| Level | Action |
|-------|--------|
| **1x Band** | Sell **50%** when price pulls back from this level |
| **2x Band** | Sell **50%** when price pulls back from this level |
| **3x Band** | **Exit everything** when price pulls back from this level |
> You can hit 1x and 2x **multiple times** – it will keep taking 50% each time
---
### **When It Exits Fully (Closes Everything)**
1. Price **closes below Red ATR line**
2. Weekly momentum shows **2 red bars in a row, both falling**
3. Weekly momentum **crosses below zero** AND price is below Red ATR
4. Weekly momentum **drops sharply** (more than 25 points in one bar)
> After full exit, it **won’t re-enter** unless price comes back below 2x band
---
### **Alerts You Get**
Every time price **touches** a profit band, you get an alert:
- “Price touched 1x band from below”
- “Price touched 1x band from above”
- Same for **2x** and **3x**
> One alert per touch, per bar
---
### **On the Chart – What You See**
- **Histogram bars (weekly momentum)**
Lime = up, Red = down
**Yellow highlight** = warning (exit soon)
- **Red broken line** = stop-loss level
- **Blue line** = fair middle price
- **Orange, Purple, Pink lines** = 1x, 2x, 3x profit targets
---
### **Best Used On**
- Daily or 4-hour charts
- Strong trending assets (like Bitcoin, Tesla, S&P 500)
---
### **Quick Rules Summary**
| Do This | When |
|--------|------|
| **Enter** | Weekly up + monthly support |
| **Add more** | Price breaks above Red line |
| **Take 50% profit** | Price pulls back from 1x or 2x |
| **Exit all** | Red line break, weak momentum, or 3x hit |
---
**Simple Idea:**
**Ride strong trends, add when confirmed, take profits in chunks, cut losses fast.**
BankNifty Etharia Aggresive Buyer / SellerOverview
Professional intraday trading strategy for BankNifty Futures that identifies high-probability setups by combining multiple technical indicators. Works in BOTH directions - LONG and SHORT.
Best Timeframe: 5-Minute Chart
Key Features:
✅ Multi-Confluence Entry System - All indicators must align for signal
✅ Bidirectional Trading - Captures both uptrends and downtrends
✅ Advanced Risk Management - Daily loss limits, consecutive loss protection
✅ Smart Exit System - Partial profit taking + trailing stops
✅ Session-Based Trading - Avoids opening and closing volatility
Entry Logic:
LONG Signals:
Price above Kernel Regression (trend confirmation)
Price above VWAP with positive slope (momentum)
Cumulative Volume Delta bullish (buying pressure)
Volume spike or increasing volume (strength confirmation)
Strong bullish candle with 60%+ body ratio
RSI filter to avoid overbought entries
SHORT Signals:
Price below Kernel Regression (downtrend confirmation)
Price below VWAP with negative slope (bearish momentum)
CVD bearish (selling pressure dominates)
High volume confirmation
Strong bearish candle pattern
RSI filter to avoid oversold entries
Exit Management:
🎯 Target 1: 1.5 R:R (50% position exit)
🎯 Target 2: 2.5 R:R (full exit)
🛡️ Stop Loss Options: ATR-based, Swing-based, or Fixed
🟡 Trailing Stop: Activates after 1.2 R:R, trails at 0.8 R:R
⏰ Time-Based Exit: Closes all positions 5 mins before session end
Risk Controls:
Maximum trades per day (default: 5)
Consecutive loss limit (default: 2)
Daily loss limit: 2.5% of capital
Daily profit target: 5% (stops trading when reached)
Position sizing based on account risk percentage
Recommended Settings:
Asset: BankNifty Futures (NSE:BANKNIFTY1!)
Timeframe: 5-minute
Initial Capital: ₹1,00,000
Risk per trade: 1%
Commission: 0.05%
Slippage: 5 points
Performance Expectations:
Win Rate: 55-65%
Profit Factor: 1.5-2.0
Average Trades/Day: 3-8
Risk:Reward: 1:1.8 average
Customizable Parameters:
Trading direction (Long Only / Short Only / Both)
Indicator lengths and thresholds
Stop loss type and targets
Risk management limits
Trading session hours
Best For:
Intraday traders seeking systematic, rule-based entries with strong confluence, proper risk management, and the ability to profit from both bullish and bearish market conditions.
Monthly First-Day Range Breakout (Long-Only)Monthly First-Day Range Breakout (Long-Only)
When the Close is above the first candle of the month - Long
Wait for the First Day Close
Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works
1. Pattern Detection (Previous Candle):
• Checks if total shadow length ≥ 2 × body.
• Checks if candle height (high − low) is between 10 and 21.5 points.
• If true → marks that candle as a potential Doji, Hammer, or Spinning Top.
2. Long Setup:
• LTP (close) crosses above previous candle high.
• Previous candle is a valid pattern candle.
• Stop Loss = 3 points below previous candle low.
• Take Profit = 5 × (high − low) of previous candle added to previous high.
3. Short Setup:
• LTP (close) crosses below previous candle low.
• Previous candle is a valid pattern candle.
• Stop Loss = 3 points above previous candle high.
• Take Profit = 5 × (high − low) of previous candle subtracted from previous low.
4. Visualization:
• Yellow background highlights pattern candles.
• Green ▲ and Red ▼ markers show entry points.
Deep yellow candles → represent Doji / Hammer / Spinning Top patterns
• Green triangle → Buy signal
• Red triangle → Sell signal
• Dotted green line + label → Target
• Dotted red line + label → Stop loss
• Gray background → Outside trading hours
• Auto close → All trades square off at 3:29 PM IST
Heiken Ashi BasProfessional Heiken Ashi + Ichimoku Baseline Scalping Strategy
Strategy Overview:
This advanced scalping methodology combines the smoothing power of Heiken Ashi candles with the reliable support/resistance levels of Ichimoku's Kijun-sen baseline. Designed for active traders seeking precise entry points in trending markets, the strategy incorporates multiple confirmation filters to enhance signal reliability.
Key Features:
• Dual Confirmation System : Heiken Ashi trend alignment with Ichimoku baseline crossover
• Smart Risk Management : Dynamic ATR-based take profit and stop loss across multiple timeframes
• Trend Filter Integration : Optional 200 EMA filter to align with broader market direction
• Divergence Detection : Real-time Ichimoku baseline momentum analysis
• Visual Trading Signals : Clear buy/sell markers with TP/SL level displays
Technical Components:
- Heiken Ashi Smoothing : Reduces market noise for cleaner trend identification
- Ichimoku Baseline (Kijun-sen) : Acts as dynamic support/resistance level
- Multi-timeframe ATR : Adaptive position sizing based on market volatility
- Momentum Confirmation : Baseline divergence filtering for enhanced timing
Ideal For:
- Forex and cryptocurrency markets
- 1-5 minute timeframes for scalping
- Trending market conditions
- Risk-aware traders seeking systematic approaches
Customization Options:
- Adjustable TP/SL multipliers based on risk tolerance
- Optional trend and divergence filters
- Flexible timeframe settings for different trading styles
- Visual display preferences for chart clarity
Educational Value:
This script demonstrates professional-grade techniques in:
- Multi-indicator convergence strategies
- Dynamic risk management implementation
- Real-time market structure analysis
- Systematic trade execution methodolog
DayFlow VWAP Relay Forex Majors StrategySummary in one paragraph
DayFlow VWAP Relay is a day-trading strategy for major FX pairs on intraday timeframes, demonstrated on EURUSD 15 minutes. It waits for alignment between a daily anchored VWAP regime check, residual percentiles, and lower-timeframe micro flow before suggesting trades. The originality is the fusion of daily VWAP residual percentiles with a live micro-flow score from 1 minute data to switch between fade and breakout behavior inside the same session. Add it to a clean chart and use the markers and alerts.
Scope and intent
• Markets: Major FX pairs such as EURUSD, GBPUSD, USDJPY, AUDUSD, USDCHF, USDCAD
• Timeframes: One minute to one hour
• Default demo in this publication: EURUSD on 15 minutes
• Purpose: Reduce false starts by acting only when context, location and micro flow agree
• Limits: This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Core novelty: Residual percentiles to daily anchored VWAP decide “balanced versus expanding day”. A separate 1 minute micro-flow score confirms direction, so the same model fades extremes in balance and rides range breaks in expansion
• Failure modes addressed: Chop fakeouts and unconfirmed breakouts are filtered by the expansion gate and micro-flow threshold
• Testability: Every input is exposed. Bands, background regime color, and markers show why a suggestion appears
• Portable yardstick: Stops and targets are ATR multiples converted to ticks, which transfer across symbols
• Open source status: No reused third-party code that requires attribution
Method overview in plain language
The day is anchored with a VWAP that updates from the daily session start. Price minus VWAP is the residual. Percentiles of that residual measured over a rolling window define location extremes for the current day. A regime score compares residual volatility to price volatility. When expansion is low, the day is treated as balanced and the model fades residual extremes if 1 minute micro flow points back to VWAP. When expansion is high, the model trades breakouts outside the VWAP bands if slope and micro flow agree with the move.
Base measures
• Range basis: True Range smoothed by ATR for stops and targets, length 14
• Return basis: Not required for signals; residuals are absolute price distance to VWAP
Components
• Daily Anchor VWAP Bands. VWAP with standard-deviation bands. Slope sign is used for trend confirmation on breakouts
• Residual Percentiles. Rolling percentiles of close minus VWAP over Signal length. Identify location extremes inside the day
• Expansion Ratio. Standard deviation of residuals divided by standard deviation of price over Signal length. Classifies balanced versus expanding day
• Micro Flow. Net up minus down closes from 1 minute data across a short span, normalized to −1..+1. Confirms direction and avoids fades against pressure
• Session Window optional. Restricts trading to your configured hours to avoid thin periods
• Cooldown optional. Bars to wait after a position closes to prevent immediate re-entry
Fusion rule
Gating rather than weighting. First choose regime by Expansion Ratio versus the Expansion gate. Inside each regime all listed conditions must be true: location test plus micro-flow threshold plus session window plus cooldown. Breakouts also require VWAP slope alignment.
Signal rule
• Long suggestion on balanced day: residual at or below the lower percentile and micro flow positive above the gate while inside session and cooldown is satisfied
• Short suggestion on balanced day: residual at or above the upper percentile and micro flow negative below the gate while inside session and cooldown is satisfied
• Long suggestion on expanding day: close above the upper VWAP band, VWAP slope positive, micro flow positive, session and cooldown satisfied
• Short suggestion on expanding day: close below the lower VWAP band, VWAP slope negative, micro flow negative, session and cooldown satisfied
• Positions flip on opposite suggestions or exit by brackets
What you will see on the chart
• Markers on suggestion bars: L for long, S for short
• Exit occurs on reverse signal or when a bracket order is filled
• Reference lines: daily anchored VWAP with upper and lower bands
• Optional background: teal for balanced day, orange for expanding day
Inputs with guidance
Setup
• Signal length. Residual and regime window. Typical 40 to 100. Higher smooths, lower reacts faster
Micro Flow
• Micro TF. Lower timeframe used for micro flow, default 1 minute
• Micro span bars. Count of lower-TF bars. Typical 5 to 20
• Micro flow gate 0..1. Minimum absolute flow. Raising it demands stronger confirmation and reduces trade count
VWAP Bands
• VWAP stdev multiplier. Band width. Typical 0.8 to 1.6. Wider bands reduce breakout frequency and increase fade distance
• Expansion gate 0..3. Threshold to switch from fades to breakouts. Raising it favors fades, lowering it favors breakouts
Sessions
• Use session filter. Enable to trade only inside your window
• Trade window UTC. Default 07:00 to 17:00
Risk
• ATR length. Stop and target basis. Typical 10 to 21
• Stop ATR x. Initial stop distance in ATR multiples
• Target ATR x. Profit target distance in ATR multiples
• Cooldown bars after close. Wait bars before a new entry
• Side. Both, long only, or short only
View
• Show VWAP and bands
• Color bars by residual regime
Properties visible in this publication
• Initial capital 10000
• Base currency Default
• request.security uses lookahead off everywhere
• Strategy: Percent of equity with value 3. Pyramiding 0. Commission cash per order 0.0001 USD. Slippage 3 ticks. Process orders on close ON. Bar magnifier ON. Recalculate after order is filled OFF. Calc on every tick OFF. Using standard OHLC fills ON.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Fills and slippage vary by venue. Shapes can move while a bar forms and settle on close. Strategies must run on standard candles for signals and orders.
Honest limitations and failure modes
High impact news, session opens, and thin liquidity can invalidate assumptions. Very quiet days can reduce contrast between residuals and price volatility. Session windows use the chart exchange time. If both stop and target are touched within a single bar, TradingView’s standard OHLC price-movement model decides the outcome.
Expect different behavior on illiquid pairs or during holidays. The model is sensitive to session definitions and feed time. Past results never guarantee future outcomes.
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.






















