9:30 USA OPENEasy if it go up it will turn green and you can lng if it goes down it will turn red and you can short
Genişlik Göstergeleri
MACD / AO Alineación (V21) PublicA long or short indicator for any timeframe. It's important to consider volatility and ADX to find the most appropriate momentum. There are also other details to consider.
Volume Aggregated Spot & Futures -- Crypto (by plyst & more)📊 Volume Aggregated Spot & Futures - Enhanced Edition
🎯 Overview
Advanced volume aggregation indicator that combines spot and perpetual futures volume across the top 10 cryptocurrency exchanges. This enhanced version builds upon the original work by @HALDRO Project with optimized calculations and expanded functionality.
✨ Key Features
- 📈 Real-time aggregated volume from 10 major exchanges (Binance, Bybit, OKX, Coinbase, Bitget, KuCoin, Kraken, MEXC, Gate.io, HTX)
- 🔄 Multiple visualization modes: Volume, Delta, Cumulative Delta, Spot vs Perp analysis, Liquidations, OBV, and MFI
- 💱 Multi-currency support: Display volume in COIN, USD, or EUR
- 🎨 Clean, single-color bar chart showing total cumulative volume
- 📊 Multiple calculation methods: SUM, AVG, MEDIAN, VARIANCE
- 🎯 Separate spot (USDT, USD, USDC, etc.) and perpetual futures (.P contracts) tracking
🔧 Technical Improvements
✓ Corrected MFI formula for accurate money flow calculations
✓ Optimized volume aggregation logic with proper NA handling
✓ Support for 10 exchanges (up from 9)
✓ Streamlined codebase for better performance
✓ Updated perpetual contract naming conventions (.P format)
📖 Usage
Perfect for analyzing total market volume, identifying liquidation events, tracking buyer/seller pressure through delta analysis, and understanding the spot vs futures market dynamics.
🙏 Credits
Original concept and framework by @HALDRO Project. This version includes mathematical corrections, code optimizations, and expanded exchange support.
⚠️ Note
Aggregated volume is calculated from external exchange data using request.security(). Ensure your plan supports the necessary security calls for optimal performance.
Candle Pattern Detector SMC with Alerts @AshokTrendJust Follow Hammer, Inverted Hammer, Hanging Man, Engulfing, volume adn smc consideration,
Trading the candlestick patterns (Hammer, Inverted Hammer, Hanging Man, Bullish/Bearish Engulfing) with volume confirmation adds an important layer of validation, helping to filter false signals and improve trade success. Here’s how to integrate volume into your strategy:
***
### How to Trade Candlestick Patterns with Volume Confirmation
#### 1. Understand Volume Role
- Volume shows the strength behind price moves:
- Higher volume on a pattern (compared to recent average) indicates strong participation, increasing the pattern’s reliability.
- Low volume may mean weak conviction and higher risk of failure.
#### 2. Volume Confirmation Rules
- Define a volume threshold, for example:
- Current candle’s volume > average volume of last 10 or 20 candles (or a fixed multiplier, e.g., 1.2× average).
- For bullish patterns (Hammer, Inverted Hammer, Bullish Engulfing): confirm with rising volume on pattern candle or next candle.
- For bearish patterns (Hanging Man, Bearish Engulfing): confirm with higher volume on pattern candle indicating strong selling.
#### 3. Entry Signals with Volume
- **Bullish Entry:**
- Signal candle (Hammer, Bullish Engulfing, etc.) appears near support or order block.
- Volume on the signal candle or immediate next candle is higher than average.
- Enter long on confirmation candle or close of signal candle.
- **Bearish Entry:**
- Signal candle (Hanging Man, Bearish Engulfing, etc.) appears near resistance or supply zone.
- Volume on the signal candle or immediate next candle exceeds average.
- Enter short on confirmation candle or close of signal candle.
#### 4. Stop Loss & Targets
- Place stop loss just below (for longs) or above (for shorts) the low/high wick of the signal candle or the order block zone.
- Set take profit based on nearby support/resistance, risk-reward ratio, or a fixed number of candle closes.
#### 5. Avoid Trading Without Volume Confirmation
- Reject candles if volume is below threshold to reduce false signals.
### Summary
Trading candlestick patterns combined with volume confirmation ensures only well-supported setups are taken, improving win rates and reducing noisy or fake signals. Volume adds a critical dimension to the SMC candle patterns for binary or any form of trading.
Would you like me to generate a full Pine Script that integrates volume confirmation with the patterns you requested?
my_strategy_2.0Overview:
This is a high-speed scalping strategy optimized for volatile crypto assets (BTC, ETH, etc.) on timeframes 1m–5m. It combines trend-following SuperTrend with confirmations from MACD, RSI, Bollinger Bands, and volume spikes for precise entries. Focus on quick profits (1–3 ATR) with strict risk control: partial take-profits, stop-loss, and trailing breakeven after the first TP.
Key Signals:
Long: SuperTrend flip up + MACD crossover up + RSI >50 + BB Upper breakout + volume spike + volatility filter (ATR >0.5%).
Short: Similar but downward.
Exits and Risks:
TP: 33% at +1 ATR, 33% at +2 ATR, 34% at +3 ATR (customizable).
SL: Initial at -1 ATR, after TP1 — to breakeven with trailing on BB midline (optional).
Filters: Minimum ATR to avoid flat markets; realistic commissions in backtests.
Recommendations:
Test on 2020–2025 data (out-of-sample 2024+). Expected Win Rate ~55%, Profit Factor >1.8, Drawdown <10%. Ideal for 1–2% risk per trade. Not for beginners — use paper trading.
Disclaimer: Past results do not guarantee future performance. Trade at your own risk.
(Pine v6 code, ready for publication. Author: gopog777 with expert fixes.)
Advanced Market Trend Analyzer//@version=5
indicator("Advanced Market Trend Analyzer", shorttitle="AMT Analyzer", overlay=true)
// Input parameters
rsi_length = input.int(14, "RSI Length")
ema_fast = input.int(9, "Fast EMA")
ema_slow = input.int(21, "Slow EMA")
volume_ma_length = input.int(20, "Volume MA Length")
overbought = input.int(70, "Overbought Level")
oversold = input.int(30, "Oversold Level")
BIF ASK WITH TREND Price Trend with PercentageBID ASK WITH TREND Price Trend with Percentage SHOW MARKET TREND AND MARKET VOLLUME
SM OTC style Supply/Demand Zones Lite+//@version=6
indicator("OTC SD MTF Lite+", "OTCSDmtf+", overlay=true, max_boxes_count=200, max_labels_count=200)
// ================= Inputs =================
useH4 = input.bool(true, "Show 4H zones")
useD1 = input.bool(true, "Show 1D zones")
useW1 = input.bool(true, "Show 1W zones")
useM1 = input.bool(false, "Show 1M zones")
baseLen = input.int(2, "Base length (HTF bars)", 1, 5)
wickPctMax = input.float(35.0, "Max wick % in base", 0, 100)
impulseX = input.float(1.5, "Departure body vs ATR (x)", 0.5, 5.0)
atrLen = input.int(14, "ATR length (HTF)")
extendBars = input.int(2000, "Extend bars on chart", 200, 10000)
maxPerTF = input.int(12, "Max zones per TF", 3, 30)
showLegend = input.bool(true, "Show tiny legend (4H/1D/1W/1M)")
onlyNearest = input.bool(false, "Show ONLY nearest zone above/below")
hideOverlapTF = input.bool(true, "Hide overlapping zones within each TF (keep newest)")
showNearestLabels = input.bool(false, "Show distance labels to nearest above/below")
// --- Hard cap for future drawing with xloc.bar_index ---
FUTURE_CAP = 500
// Colors (Demand hues per TF). Supply uses red for contrast.
colH4 = color.new(color.teal, 78)
colD1 = color.new(color.blue, 78)
colW1 = color.new(color.orange, 78)
colM1 = color.new(color.purple, 78)
colSup= color.new(color.red, 78)
// ================= Helpers =================
wickiness(h, l, o, c) =>
rng = math.max(h - l, syminfo.mintick)
topW = h - math.max(o, c)
botW = math.min(o, c) - l
100.0 * (topW + botW) / rng
// Returns: (dTrig, dProx, dDist, sTrig, sProx, sDist)
f_htfSignals(baseBars, wickMax, xImpulse, aLen) =>
float _o = open
float _h = high
float _l = low
float _c = close
float _atr = ta.atr(aLen)
bool ok = true
for i = 1 to baseBars
ok := ok and (wickiness(_h , _l , _o , _c ) <= wickMax)
bool bullDepart = _c > _o and (_c - _o) > xImpulse * _atr
bool bearDepart = _c < _o and (_o - _c) > xImpulse * _atr
float dTrig = 0.0
float dProx = na
float dDist = na
float sTrig = 0.0
float sProx = na
float sDist = na
if ok and bullDepart
float hi = ta.highest(_h, baseBars)
float lo = ta.lowest(_l, baseBars)
dTrig := 1.0
dProx := lo
dDist := hi
if ok and bearDepart
float hi2 = ta.highest(_h, baseBars)
float lo2 = ta.lowest(_l, baseBars)
sTrig := 1.0
sProx := hi2
sDist := lo2
// ================= Pull HTF signals =================
= request.security(syminfo.tickerid, "240", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen))
= request.security(syminfo.tickerid, "D", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen))
= request.security(syminfo.tickerid, "W", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen))
= request.security(syminfo.tickerid, "M", f_htfSignals(baseLen, wickPctMax, impulseX, atrLen))
// ================= Storage per TF =================
var zH4 = array.new_box()
var aH4 = array.new_bool()
var lH4 = array.new_label()
var sH4 = array.new_int() // 1 = Demand, -1 = Supply
var zD1 = array.new_box()
var aD1 = array.new_bool()
var lD1 = array.new_label()
var sD1 = array.new_int()
var zW1 = array.new_box()
var aW1 = array.new_bool()
var lW1 = array.new_label()
var sW1 = array.new_int()
var zM1 = array.new_box()
var aM1 = array.new_bool()
var lM1 = array.new_label()
var sM1 = array.new_int()
// ================= Overlap utils =================
overlap(topA, botA, topB, botB) =>
not (topA < botB or botA > topB)
purgeOverlaps(arrB, arrA, arrL, newTop, newBot) =>
if hideOverlapTF and array.size(arrB) > 0
for i = 0 to array.size(arrB) - 1
if array.get(arrA, i)
box bOld = array.get(arrB, i)
float t = box.get_top(bOld)
float btm = box.get_bottom(bOld)
if overlap(newTop, newBot, t, btm)
box.delete(bOld)
label.delete(array.get(arrL, i))
array.set(arrA, i, false)
// ================= Add zone =================
addZone(arrB, arrA, arrL, arrS, topV, botV, baseColor, isDemand) =>
purgeOverlaps(arrB, arrA, arrL, topV, botV)
int leftX = bar_index - 1
int rightX = bar_index + math.min(extendBars, FUTURE_CAP) // respect +500 cap
box b = box.new(leftX, topV, rightX, botV, xloc=xloc.bar_index, bgcolor=baseColor, border_color=color.new(color.black, 0))
float ly = isDemand == 1 ? topV : botV
st = isDemand == 1 ? label.style_label_down : label.style_label_up
string tagTxt = isDemand == 1 ? "Demand" : "Supply"
label l = label.new(leftX, ly, tagTxt, xloc=xloc.bar_index, style=st, textcolor=color.white, color=color.new(color.black, 0), size=size.tiny)
array.push(arrB, b)
array.push(arrA, true)
array.push(arrL, l)
array.push(arrS, isDemand)
if array.size(arrB) > maxPerTF
box.delete(array.shift(arrB))
array.shift(arrA)
label.delete(array.shift(arrL))
array.shift(arrS)
// ================= Maintain / Invalidate =================
extendAll(arrB, arrA) =>
if array.size(arrB) > 0
for i = 0 to array.size(arrB) - 1
if array.get(arrA, i)
box.set_right(array.get(arrB, i), bar_index + math.min(extendBars, FUTURE_CAP)) // respect +500 cap
invalidate(arrB, arrA, arrL) =>
if array.size(arrB) > 0
for i = 0 to array.size(arrB) - 1
if array.get(arrA, i)
box b = array.get(arrB, i)
float t = box.get_top(b)
float btm = box.get_bottom(b)
// Close outside band → remove
if close > t or close < btm
box.delete(b)
label.delete(array.get(arrL, i))
array.set(arrA, i, false)
// ================= New HTF bar flags (strict booleans) =================
int chH4 = ta.change(time("240"))
int chD1 = ta.change(time("D"))
int chW1 = ta.change(time("W"))
int chM1 = ta.change(time("M"))
bool newBarH4 = useH4 and (not na(chH4)) and (chH4 != 0)
bool newBarD1 = useD1 and (not na(chD1)) and (chD1 != 0)
bool newBarW1 = useW1 and (not na(chW1)) and (chW1 != 0)
bool newBarM1 = useM1 and (not na(chM1)) and (chM1 != 0)
// ================= Create zones on new HTF bar =================
if newBarH4
if d4t > 0 and not na(d4p) and not na(d4d)
addZone(zH4, aH4, lH4, sH4, d4d, d4p, colH4, 1)
if s4t > 0 and not na(s4p) and not na(s4d)
addZone(zH4, aH4, lH4, sH4, s4p, s4d, colSup, -1)
if newBarD1
if d1t > 0 and not na(d1p) and not na(d1d)
addZone(zD1, aD1, lD1, sD1, d1d, d1p, colD1, 1)
if s1t > 0 and not na(s1p) and not na(s1d)
addZone(zD1, aD1, lD1, sD1, s1p, s1d, colSup, -1)
if newBarW1
if w1t > 0 and not na(w1p) and not na(w1d)
addZone(zW1, aW1, lW1, sW1, w1d, w1p, colW1, 1)
if swt > 0 and not na(swp) and not na(swd)
addZone(zW1, aW1, lW1, sW1, swp, swd, colSup, -1)
if newBarM1
if m1t > 0 and not na(m1p) and not na(m1d)
addZone(zM1, aM1, lM1, sM1, m1d, m1p, colM1, 1)
if smt > 0 and not na(smp) and not na(smd)
addZone(zM1, aM1, lM1, sM1, smp, smd, colSup, -1)
// ================= Maintain & Invalidate (every bar) =================
extendAll(zH4, aH4)
extendAll(zD1, aD1)
extendAll(zW1, aW1)
extendAll(zM1, aM1)
invalidate(zH4, aH4, lH4)
invalidate(zD1, aD1, lD1)
invalidate(zW1, aW1, lW1)
invalidate(zM1, aM1, lM1)
// ================= Nearest across all TFs =================
tfNearest(arrB, arrA) =>
int upIdx = -1
int dnIdx = -1
float upDist = 1e10
float dnDist = 1e10
float upBtm = na
float dnTop = na
if array.size(arrB) > 0
for i = 0 to array.size(arrB) - 1
if array.get(arrA, i)
box b = array.get(arrB, i)
float t = box.get_top(b)
float btm = box.get_bottom(b)
if btm >= close
float d = btm - close
if d < upDist
upDist := d
upIdx := i
upBtm := btm
if t <= close
float d2 = close - t
if d2 < dnDist
dnDist := d2
dnIdx := i
dnTop := t
= tfNearest(zH4, aH4)
= tfNearest(zD1, aD1)
= tfNearest(zW1, aW1)
= tfNearest(zM1, aM1)
float upBest = 1e10, dnBest = 1e10
int upArr = -1, upIdxSel = -1, dnArr = -1, dnIdxSel = -1
color upColor = color.new(color.white, 100), dnColor = color.new(color.white, 100)
if (not na(uh4y)) and uh4d < upBest
upBest := uh4d, upArr := 0, upIdxSel := uh4i, upColor := colH4
if (not na(ud1y)) and ud1d < upBest
upBest := ud1d, upArr := 1, upIdxSel := ud1i, upColor := colD1
if (not na(uw1y)) and uw1d < upBest
upBest := uw1d, upArr := 2, upIdxSel := uw1i, upColor := colW1
if (not na(um1y)) and um1d < upBest
upBest := um1d, upArr := 3, upIdxSel := um1i, upColor := colM1
if (not na(dh4y)) and dh4d < dnBest
dnBest := dh4d, dnArr := 0, dnIdxSel := dh4i, dnColor := colH4
if (not na(dd1y)) and dd1d < dnBest
dnBest := dd1d, dnArr := 1, dnIdxSel := dd1i, dnColor := colD1
if (not na(dw1y)) and dw1d < dnBest
dnBest := dw1d, dnArr := 2, dnIdxSel := dw1i, dnColor := colW1
if (not na(dm1y)) and dm1d < dnBest
dnBest := dm1d, dnArr := 3, dnIdxSel := dm1i, dnColor := colM1
// ================= Nearest-only visibility (optional) =================
hideAll(arrB, arrA) =>
if array.size(arrB) > 0
for i = 0 to array.size(arrB) - 1
if array.get(arrA, i)
box.set_bgcolor(array.get(arrB, i), color.new(color.white, 100))
box.set_border_color(array.get(arrB, i), color.new(color.white, 100))
showOne(arrB, arrA, arrS, idx, demColor) =>
if idx >= 0 and idx < array.size(arrB)
if array.get(arrA, idx)
bool isDemand = array.get(arrS, idx) == 1
color c = isDemand ? demColor : colSup
box.set_bgcolor(array.get(arrB, idx), c)
box.set_border_color(array.get(arrB, idx), color.new(color.black, 0))
if onlyNearest
hideAll(zH4, aH4), hideAll(zD1, aD1), hideAll(zW1, aW1), hideAll(zM1, aM1)
if upArr == 0
showOne(zH4, aH4, sH4, upIdxSel, upColor)
if upArr == 1
showOne(zD1, aD1, sD1, upIdxSel, upColor)
if upArr == 2
showOne(zW1, aW1, sW1, upIdxSel, upColor)
if upArr == 3
showOne(zM1, aM1, sM1, upIdxSel, upColor)
if dnArr == 0
showOne(zH4, aH4, sH4, dnIdxSel, dnColor)
if dnArr == 1
showOne(zD1, aD1, sD1, dnIdxSel, dnColor)
if dnArr == 2
showOne(zW1, aW1, sW1, dnIdxSel, dnColor)
if dnArr == 3
showOne(zM1, aM1, sM1, dnIdxSel, dnColor)
// ================= Nearest distance labels (optional) =================
var label nearUp = na
var label nearDn = na
makeNearLabel(y, txt) =>
label.new(bar_index, y, txt, xloc=xloc.bar_index, style=label.style_label_left, color=color.new(color.black, 0), textcolor=color.white, size=size.tiny)
if showNearestLabels
if not na(nearUp)
label.delete(nearUp)
if not na(nearDn)
label.delete(nearDn)
if upArr != -1
box bUp = upArr == 0 ? array.get(zH4, upIdxSel) : upArr == 1 ? array.get(zD1, upIdxSel) : upArr == 2 ? array.get(zW1, upIdxSel) : array.get(zM1, upIdxSel)
float upBtm = box.get_bottom(bUp)
float pctUp = math.round(10000.0 * (upBtm - close) / close) / 100.0
nearUp := makeNearLabel(upBtm, "Nearest Above ~ " + str.tostring(pctUp) + "%")
if dnArr != -1
box bDn = dnArr == 0 ? array.get(zH4, dnIdxSel) : dnArr == 1 ? array.get(zD1, dnIdxSel) : dnArr == 2 ? array.get(zW1, dnIdxSel) : array.get(zM1, dnIdxSel)
float dnTop = box.get_top(bDn)
float pctDn = math.round(10000.0 * (close - dnTop) / close) / 100.0
nearDn := makeNearLabel(dnTop, "Nearest Below ~ " + str.tostring(pctDn) + "%")
// ================= Tiny legend (dots) =================
var table legend = na
if showLegend and na(legend)
legend := table.new(position.top_left, 4, 1)
if showLegend and not na(legend)
table.cell(legend, 0, 0, "● 4H", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(legend, 1, 0, "● 1D", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(legend, 2, 0, "● 1W", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell(legend, 3, 0, "● 1M", text_color=color.white, bgcolor=color.new(color.black, 0))
table.cell_set_bgcolor(legend, 0, 0, color.new(color.teal, 70))
table.cell_set_bgcolor(legend, 1, 0, color.new(color.blue, 70))
table.cell_set_bgcolor(legend, 2, 0, color.new(color.orange, 70))
table.cell_set_bgcolor(legend, 3, 0, color.new(color.purple, 70))
Rudra ChakraA readymade template. Helps you to identify trend, momentum at a glance.
Blue dots for +momentum and red for -momentum.
Also the background Green, orange and red indicate the shift in trend. Buy signals indicate more than avg buying in some timeframe.
3SMA (1H only) by tophengzkyThis script plots three Simple Moving Averages (SMA 10, 20, 50), but they are only visible when the chart timeframe is set to 1 hour (1H).
It helps traders focus on higher timeframe trend direction without cluttering charts on other timeframes.
SMA1 = 10 (white)
SMA2 = 20 (yellow)
SMA3 = 200 (red)
Works only on 1H timeframe
Useful for swing traders and intraday traders who rely on hourly trend confirmation.
why 1 hr only? the only purpose of this is just to know the bias of the market weather it will reverse or it will continue the trend. As long as the price action did not cross this 3 SMA's the trend will continue.
as a trend trader it is very useful this strategy.. make it simple!
Horizontal Lines [White]The Horizontal Lines indicator is a simple yet powerful visual tool designed for traders in forex, options, and other financial markets. It allows users to mark and track key price levels directly on their chart with clear, bright yellow lines.
Horizontal Lines [Yellow]The Horizontal Lines indicator is a simple yet powerful visual tool designed for traders in forex, options, and other financial markets. It allows users to mark and track key price levels directly on their chart with clear, bright yellow lines.
fartbombLinReg fit (history): solid line showing the best-fit linear trend over the last len bars.
Projected offset (visual): same line shifted h bars right so you can see direction.
Future projection (segments): the actual next-h forecast, drawn from the last bar.
Forecast made h bars ago: circle at each bar’s target showing what was predicted h bars earlier.
H / X markers: a hit if that earlier forecast fell inside the bar’s high–low range.
RSI Zones Background + Optional RSI PaneOverview
This Pine Script indicator does two things at once:
Colors the background of the main price chart whenever the RSI value is below a lower threshold (default 30) or above an upper threshold (default 70). This highlights oversold and overbought zones directly on the price chart itself.
Optionally displays a separate RSI panel with the RSI line and shaded region between the two threshold levels for reference.
The indicator is fully customizable through the settings panel—color choices, transparency, and whether to show the separate RSI pane can all be adjusted.
Key Parts of the Code
1. Inputs
src: The source price series for RSI calculation.
len: RSI lookback length (default 14).
lowerThr and upperThr: The lower and upper thresholds (defaults: 30 and 70).
lowColor and highColor: Colors for the background when RSI is below or above the thresholds.
bgTrans: Transparency level for the background shading.
showRSI: Boolean to toggle the optional RSI pane on or off.
2. RSI Calculation
rsi = ta.rsi(src, len)
This computes the RSI from the chosen price source.
3. Background Coloring on the Price Chart
bgCol = rsi <= lowerThr ? color.new(lowColor,bgTrans) :
rsi >= upperThr ? color.new(highColor,bgTrans) :
na
bgcolor(bgCol)
If RSI ≤ lower threshold: background turns lowColor (oversold zone).
If RSI ≥ upper threshold: background turns highColor (overbought zone).
Otherwise, no background color.
4. Optional RSI Pane
plot(showRSI ? rsi : na, display=display.pane)
Plots the RSI line in a separate pane when showRSI is true; otherwise hides it.
5. Horizontal Lines for Thresholds
hLower = hline(lowerThr, ...)
hUpper = hline(upperThr, ...)
Two horizontal lines at the lower and upper thresholds.
Because hline() can’t be wrapped inside if blocks, the script always creates them but makes them transparent (using na color) when the pane is hidden.
6. Filling Between Threshold Lines
fill(hLower, hUpper, color=showRSI ? color.new(color.gray,95) : na)
When the RSI pane is visible, the area between the two threshold lines is shaded in gray to create a “mid-zone” effect. This fill also switches off (becomes na) if the pane is hidden.
7. Alerts
The script also includes two alert conditions:
When RSI crosses below the lower threshold.
When RSI crosses above the upper threshold.
How It Works in Practice
On the price chart, you’ll see the background turn blue (or your chosen color) when RSI is ≤30, and red when RSI is ≥70.
If you enable “Show RSI” in the settings, a separate RSI pane will appear below the price chart, plotting the RSI line with two threshold lines and a shaded region in between.
You can fully adjust transparency and colors to suit your chart style.
Benefits
Quickly visualize overbought and oversold conditions without opening a separate RSI window.
Optional RSI pane provides context when needed.
Customizable colors and transparency make it easy to integrate with any chart theme.
Alerts give you automatic notifications when RSI crosses key levels.
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개요
이 지표는 두 가지 기능을 동시에 수행합니다.
가격 차트 뒤 배경에 색상 표시
RSI 값이 설정한 하단 임계값(기본 30) 이하이거나 상단 임계값(기본 70) 이상일 때, 가격 차트 뒤쪽에 과매도·과매수 구간을 색으로 표시해줍니다.
선택적으로 RSI 보조창 표시
옵션을 켜면 별도의 RSI 패널이 나타나서 RSI 라인과 두 임계값(30, 70)을 연결한 구간을 음영 처리하여 보여줍니다.
설정 창에서 색상·투명도·보조창 표시 여부를 전부 조정할 수 있습니다.
코드 핵심 설명
1. 입력값
src: RSI 계산에 사용할 가격 소스(기본 종가).
len: RSI 기간(기본 14).
lowerThr / upperThr: RSI 하단·상단 임계값(기본 30, 70).
lowColor / highColor: RSI가 각각 하단 이하·상단 이상일 때 배경 색상.
bgTrans: 배경 투명도(0=불투명, 100=투명).
showRSI: RSI 보조창을 켜고 끌 수 있는 스위치.
2. RSI 계산
rsi = ta.rsi(src, len)
지정한 가격 소스를 기반으로 RSI를 계산합니다.
3. 가격 차트 배경 색칠
bgCol = rsi <= lowerThr ? color.new(lowColor,bgTrans) :
rsi >= upperThr ? color.new(highColor,bgTrans) :
na
bgcolor(bgCol)
RSI ≤ 하단 임계값 → lowColor(과매도 색)
RSI ≥ 상단 임계값 → highColor(과매수 색)
나머지 구간은 색상 없음.
4. 선택적 RSI 보조창
plot(showRSI ? rsi : na, display=display.pane)
showRSI가 켜져 있으면 RSI 라인을 보조창에 표시하고, 꺼져 있으면 숨깁니다.
5. 임계값 가로선
hLower = hline(lowerThr, ...)
hUpper = hline(upperThr, ...)
하단·상단 임계값을 가로선으로 표시합니다.
hline은 if 블록 안에서 쓸 수 없기 때문에 항상 그려지지만, 보조창이 꺼지면 색을 na로 처리해 안 보이게 합니다.
6. 임계값 사이 영역 음영 처리
fill(hLower, hUpper, color=showRSI ? color.new(color.gray,95) : na)
보조창이 켜져 있을 때만 두 가로선 사이를 회색으로 채워 “중립 구간”을 강조합니다.
7. 알림 조건
RSI가 하단 임계값을 아래로 돌파할 때 알림.
RSI가 상단 임계값을 위로 돌파할 때 알림.
실제 작동 모습
가격 차트 뒤쪽에 RSI ≤30이면 파란색, RSI ≥70이면 빨간색 배경이 나타납니다(색상은 설정에서 변경 가능).
RSI 보조창을 켜면, RSI 라인과 임계값 가로선, 그리고 그 사이 음영 영역이 함께 나타납니다.
투명도를 높이거나 낮추어 강조 정도를 조절할 수 있습니다.
장점
별도의 RSI창을 열지 않고도 가격 차트 배경만으로 과매수·과매도 상태를 직관적으로 확인 가능.
필요하면 보조창으로 RSI를 직접 확인하면서 임계값 가이드와 음영 영역을 함께 볼 수 있음.
색상·투명도를 자유롭게 조절할 수 있어 차트 스타일에 맞게 커스터마이징 가능.
RSI가 임계값을 돌파할 때 자동 알림을 받을 수 있음.
Alerte Croisement EMA9 & SMA12 (Zone remplie)📊 Moving Average 1
Period: 9 → The average is calculated over the last 9 candles (or time periods).
Shift: 0 → No shift; the average is aligned with the current data.
Method: Exponential → Uses an Exponential Moving Average (EMA), which gives more weight to recent data.
Apply to: Close → The average is based on the closing price of each candle.
📊 Moving Average 2
Period: 12 → Calculated over the last 12 periods.
Shift: 0 → No shift.
Method: Simple → Uses a Simple Moving Average (SMA), which gives equal weight to each period.
Apply to: Close → Based on closing prices.
Combined MOST + ATR MOST + ATR Combined indicator. This is published by interesting idea for my dad he tought that he combination of these two indicators gives a good result
Investorjordann - Script I have developed a script for the BTC pair. I'm currently trialing this...it is using multiple indicators and timeframes to trigger a trade. So far it seems very profitable across many timeframes, but I am still trailing.
OBV Cloud v1.0 [PriceBlance]🌐 English
OBV Cloud v1.0 – Free & Open-Source
OBV Cloud v1.0 integrates On-Balance Volume (OBV) with a Cloud model and enhanced trend filters.
It helps traders quickly identify:
Money Flow Trend: OBV Cloud acts as a dynamic support/resistance zone.
Trend Filters: EMA9 (short-term) and WMA45 (medium-term) directly applied on OBV.
OBV–Price Divergence: Detects both regular and hidden bullish/bearish divergences.
Trend Strength: Measured with ADX calculated on OBV.
OBV Cloud is suitable for both swing and day trading, allowing traders to spot breakouts, reversals, or sustained trends through volume-based analysis.
SCTI - D14SCTI - D14 Comprehensive Technical Analysis Suite
English Description
SCTI D14 is an advanced multi-component technical analysis indicator designed for professional traders and analysts. This comprehensive suite combines multiple analytical tools into a single, powerful indicator that provides deep market insights across various timeframes and methodologies.
Core Components:
1. EMA System (Exponential Moving Averages)
13 customizable EMA lines with periods ranging from 8 to 2584
Fibonacci-based periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584)
Color-coded visualization for easy trend identification
Individual toggle controls for each EMA line
2. TFMA (Multi-Timeframe Moving Averages)
Cross-timeframe analysis with 3 independent EMA calculations
Real-time labels showing trend direction and price relationships
Customizable timeframes for each moving average
Percentage deviation display from current price
3. PMA (Precision Moving Average Cloud)
7-layer moving average system with customizable periods
Fill areas between moving averages for trend visualization
Support and resistance zone identification
Dynamic color-coded trend clouds
4. VWAP (Volume Weighted Average Price)
Multiple anchor points (Session, Week, Month, Quarter, Year, Earnings, Dividends, Splits)
Standard deviation bands for volatility analysis
Automatic session detection and anchoring
Statistical price level identification
5. Advanced Divergence Detector
12 technical indicators for divergence analysis (MACD, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, VW-MACD, CMF, MFI, External)
Regular and hidden divergences detection
Bullish and bearish signals with visual confirmation
Customizable sensitivity and filtering options
Real-time alerts for divergence formations
6. Volume Profile & Node Analysis
Comprehensive volume distribution analysis
Point of Control (POC) identification
Value Area High/Low (VAH/VAL) calculations
Volume peaks and troughs detection
Support and resistance levels based on volume
7. Smart Money Concepts
Market structure analysis with Break of Structure (BOS) and Change of Character (CHoCH)
Internal and swing structure detection
Equal highs and lows identification
Fair Value Gaps (FVG) detection and visualization
Liquidity zones and institutional flow analysis
8. Trading Sessions
9 major trading sessions (Asia, Sydney, Tokyo, Shanghai, Hong Kong, Europe, London, New York, NYSE)
Real-time session status and countdown timers
Session volume and performance tracking
Customizable session boxes and labels
Statistical session analysis table
Key Features:
Modular Design: Enable/disable any component independently
Real-time Analysis: Live updates with market data
Multi-timeframe Support: Works across all chart timeframes
Customizable Alerts: Set alerts for any detected pattern or signal
Professional Visualization: Clean, organized display with customizable colors
Performance Optimized: Efficient code for smooth chart performance
Use Cases:
Trend Analysis: Identify market direction using multiple EMA systems
Entry/Exit Points: Use divergences and structure breaks for timing
Risk Management: Utilize volume profiles and session analysis for better positioning
Multi-timeframe Analysis: Confirm signals across different timeframes
Institutional Analysis: Track smart money flows and market structure
Perfect For:
Day traders seeking comprehensive market analysis
Swing traders needing multi-timeframe confirmation
Professional analysts requiring detailed market structure insights
Algorithmic traders looking for systematic signal generation
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中文描述
SCTI - D14是一个先进的多组件技术分析指标,专为专业交易者和分析师设计。这个综合套件将多种分析工具整合到一个强大的指标中,在各种时间框架和方法论中提供深度市场洞察。
核心组件:
1. EMA系统(指数移动平均线)
13条可定制EMA线,周期从8到2584
基于斐波那契的周期(8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584)
颜色编码可视化,便于趋势识别
每条EMA线的独立切换控制
2. TFMA(多时间框架移动平均线)
跨时间框架分析,包含3个独立的EMA计算
实时标签显示趋势方向和价格关系
每个移动平均线的可定制时间框架
显示与当前价格的百分比偏差
3. PMA(精密移动平均云)
7层移动平均系统,周期可定制
移动平均线间填充区域用于趋势可视化
支撑阻力区域识别
动态颜色编码趋势云
4. VWAP(成交量加权平均价格)
多个锚点(交易时段、周、月、季、年、财报、分红、拆股)
标准差带用于波动性分析
自动时段检测和锚定
统计价格水平识别
5. 高级背离检测器
12个技术指标用于背离分析(MACD、RSI、随机指标、CCI、威廉姆斯%R、Bias、动量、OBV、VW-MACD、CMF、MFI、外部指标)
常规和隐藏背离检测
看涨看跌信号配视觉确认
可定制敏感度和过滤选项
背离形成的实时警报
6. 成交量分布与节点分析
全面的成交量分布分析
控制点(POC)识别
价值区域高/低点(VAH/VAL)计算
成交量峰值和低谷检测
基于成交量的支撑阻力水平
7. 聪明钱概念
市场结构分析,包括结构突破(BOS)和结构转变(CHoCH)
内部和摆动结构检测
等高等低识别
公允价值缺口(FVG)检测和可视化
流动性区域和机构资金流分析
8. 交易时区
9个主要交易时段(亚洲、悉尼、东京、上海、香港、欧洲、伦敦、纽约、纽交所)
实时时段状态和倒计时器
时段成交量和表现跟踪
可定制时段框和标签
统计时段分析表格
主要特性:
模块化设计:可独立启用/禁用任何组件
实时分析:随市场数据实时更新
多时间框架支持:适用于所有图表时间框架
可定制警报:为任何检测到的模式或信号设置警报
专业可视化:清洁、有序的显示界面,颜色可定制
性能优化:高效代码确保图表流畅运行
使用场景:
趋势分析:使用多重EMA系统识别市场方向
入场/出场点:利用背离和结构突破进行时机选择
风险管理:利用成交量分布和时段分析进行更好定位
多时间框架分析:在不同时间框架间确认信号
机构分析:跟踪聪明钱流向和市场结构
适用于:
寻求全面市场分析的日内交易者
需要多时间框架确认的摆动交易者
需要详细市场结构洞察的专业分析师
寻求系统化信号生成的算法交易者
Custom MACD (Normalized by ATR)This is a modified version of the classic MACD indicator.
Instead of using just the difference between EMA(12) and EMA(26), this version normalizes the MACD line by ATR(26) and scales it by 100:
* 100
This adjustment makes the MACD relative to market volatility, allowing for easier comparison across assets and timeframes.
The idea of normalizing MACD with ATR comes from Alex Spioglou, who suggested this improvement to enhance signal consistency in volatile markets.
Plots include the ATR-normalized MACD line, the signal line, and the histogram, with rising/falling color cues and built-in alert conditions.
XAUUSD CSI+RSI+Delta (15m)XAUUSD 15m
Candle Stability Index: 0.4
RSI Index: 80
Candle Delta Length: 6
Disable Repeating Signals: Enabled
Multi-Timeframe Dual MA Downside DetectorThis indicator is designed to highlight potential downside moves using two customizable moving averages (MA1 and MA2) across multiple timeframes. It works on any chart and provides a visual cue when the price is trading below both selected moving averages on a red/down candle.
Key Features:
Dual Moving Averages: Supports EMA, SMA, VWMA, and HMA for both MA1 and MA2.
Multi-Timeframe Support: Each moving average can be calculated on a different timeframe, allowing higher timeframe trend context on lower timeframe charts.
Downside Detection: Highlights candles where the close is below both moving averages and forms a down candle (close < open).
Visual Signals:
Plots MA1 (orange) and MA2 (blue) on the chart.
Colors the downside candles blue when the price is below both MAs.
Customizable: Easily adjust the MA type, length, and timeframe to suit your trading style.
Usage:
Helps identify strong bearish conditions or potential pullbacks.
Can be combined with other technical analysis tools for trend confirmation.
Works across any market, instrument, or timeframe