NeuralTrading AI TrendsAI NeuralTrading Data Visualizer.
This indicator visualizes your custom data from the AI NeuralTrading system directly on the chart. It displays three upside targets (resistance zones), three downside targets (support zones), and an estimated channel.
Bantlar ve Kanallar
BTC RSI 35 이하 + 음봉 직후 양봉 (중복방지, 일봉 20일선 위)//@version=5
indicator("BTC RSI 35 이하 + 음봉 직후 양봉 (중복방지, 일봉 20일선 위)", overlay=true)
// === 일봉 기준 조건 ===
dailyClose = request.security(syminfo.tickerid, "D", close) // 일봉 종가
dailyMA20 = request.security(syminfo.tickerid, "D", ta.sma(close, 20)) // 일봉 20일선
aboveDailyMA = dailyClose > dailyMA20 // 일봉 종가가 20일선 위일 때만 true
// === RSI 계산 (1시간봉) ===
rsiLength = 14
rsi = ta.rsi(close, rsiLength)
// === 상태 변수 ===
var bool armed = false
var bool locked = false
// RSI 35 이하 → 무장(armed)
if (rsi <= 35)
armed := true
// RSI 40 이상 → 리셋
if (rsi >= 40)
armed := false
locked := false
// === BUY 조건 정의 (1시간봉 + 일봉 조건) ===
bearishPrev = close < open // 직전 봉 음봉
bullishNow = close > open // 현재 봉 양봉
buySignal = armed and not locked and bearishPrev and bullishNow and aboveDailyMA
// BUY 발생 시 잠금
if (buySignal)
locked := true
// === 차트 표시 ===
plotshape(buySignal, title="BUY", location=location.belowbar,
color=color.lime, style=shape.labelup, text="BUY", size=size.tiny)
// === 얼러트 조건 ===
alertcondition(buySignal, title="BUY Alert",
message="RSI 35 이하 + 음봉 직후 양봉 + 일봉 20일선 위 (1시간)")
All in 1 by trading spell_kkall in one indicator sharing a mix of ema, quarterly earnings, adr, and market cap
vwap inside bar jmrjm vwap inside bar which helps to take guage trend with vwap and and help to understand when market taking pause due to bulls and bears fight. Then we can take a trade in trend with winners.
Breakout + VWAP + Bollinger Bands BackgroundIt detects buy and sell bias for the trader to understand buy and sell openning. Try it...
RSI Divergence Indicator + Current Value - YOSIRSI Divergence Indicator – TradingView
The RSI Divergence Indicator is a custom TradingView tool designed to detect and visualize both regular and hidden divergences between price action and the Relative Strength Index (RSI).
🔹 Core Features:
Plots RSI with standard overbought (70), oversold (30), and midline (50) levels.
Highlights regular bullish divergence (price makes lower low, RSI makes higher low).
Highlights regular bearish divergence (price makes higher high, RSI makes lower high).
Detects hidden bullish divergence (price higher low, RSI lower low).
Detects hidden bearish divergence (price lower high, RSI higher high).
Clear visual signals using colored markers and labels (“Bull”, “Bear”, “H Bull”, “H Bear”).
Built-in alert conditions to notify traders when new divergences appear.
🔹 Customization:
Adjustable RSI period and source (default: 14, close).
Configurable pivot lookback (left & right) for fine-tuning divergence detection.
Options to enable/disable plotting of specific divergence types.
Custom colors for bullish, bearish, hidden bullish, and hidden bearish signals.
🔹 Added Upgrade (based on your request):
Displays the current RSI value next to the line, allowing quick reference without hovering.
mara Dynamic RangeUpdated pp dynamic zone indicator, which helps to provide support/resistance for intra day and swing trade
Multi-Exchange VWAP Aggregator (Crypto)Description:
This advanced VWAP indicator aggregates volume data from up to 9 cryptocurrency exchanges simultaneously, providing a more accurate volume-weighted average price than single-exchange VWAP calculations.
Key Features:
Multi-Exchange Aggregation - Combines volume from Binance, Coinbase, Bybit, Bitfinex, Bitstamp, Deribit, OKEx, Phemex, and FTX
Flexible Currency Pairs - Supports both spot (USD, USDT, EUR, USDC, BUSD, DAI) and perpetual futures contracts
Standard Deviation Bands - Includes customizable 1σ, 2σ, and 3σ bands for identifying overbought/oversold levels
Multiple Reset Periods - Daily, Weekly, Monthly, or Session-based VWAP calculations
Volume Calculation Options - Choose between SUM, AVG, MEDIAN, or VARIANCE for volume aggregation
Why Use This?
Traditional VWAP indicators only use volume from a single exchange, which can be misleading in fragmented crypto markets. This indicator provides a comprehensive market-wide VWAP by aggregating volume across major exchanges, giving you a more reliable benchmark for entries, exits, and institutional price levels.
Perfect for traders who want to see where the real volume-weighted price sits across the entire crypto market, not just one exchange.
Mid-Body 50% Candles – Support/Resistance with ConfirmationHow it works:
– Calculates the mid-body (open+close)/2 of the previous candle.
– Bullish candle → potential SUP level.
– Bearish candle → potential RES level.
– Optional next-bar confirmation (close above/below the mid-body).
– Filters available: ATR size, swing detection, upper/lower wick %.
– Lines extend until broken or removed.
– Alerts available for: level creation, touch and break.
Use cases:
– Confirm candle rejections (pin bars).
– Filter false breakouts.
– Refine entries/exits for scalping or swing trading.
What makes it unique:
Unlike generic Fibonacci or candle tools, this script focuses exclusively on the 50% body level with confirmations and multiple filters, making it more precise for price action decision points.
AKTProfessional Style
“This tool helps in marking lines for options and forex, making trading easier and more effective for you.”
“We apply it to mark key lines in options and forex markets, and it provides great value for traders like you.”
“Used for marking support and resistance lines in options and forex, it’s a highly useful tool for your trades.”
🔹 Simple & Direct Style
“We use it to mark lines in options and forex — very useful for you.”
“It helps mark lines for options and forex, making it useful in your trading.”
“A handy way to mark lines in options and forex, and it’s very useful for you.”
Peshraw strategy 1//@version=5
indicator("Peshraw strategy 1", overlay=false)
// --- Stochastic Settings
kPeriod = 100
dPeriod = 3
slowing = 3
k = ta.sma(ta.stoch(close, high, low, kPeriod), slowing)
d = ta.sma(k, dPeriod)
// --- Moving Average on Stochastic %K
maLength = 2
maOnK = ta.sma(k, maLength)
// --- Plot Stochastic
plot(k, color=color.blue, title="%K")
plot(d, color=color.orange, title="%D")
// --- Plot MA(2) on %K
plot(maOnK, color=color.red, title="MA(2) on %K")
// --- Levels (fix hline error)
hline(9, "Level 9", color=color.gray, linestyle=hline.style_dotted)
hline(18, "Level 18", color=color.gray, linestyle=hline.style_dotted)
hline(27, "Level 27", color=color.gray, linestyle=hline.style_dotted)
hline(36, "Level 36", color=color.gray, linestyle=hline.style_dotted)
hline(45, "Level 45", color=color.gray, linestyle=hline.style_dotted)
hline(54, "Level 54", color=color.gray, linestyle=hline.style_dotted)
hline(63, "Level 63", color=color.gray, linestyle=hline.style_dotted)
hline(72, "Level 72", color=color.gray, linestyle=hline.style_dotted)
hline(81, "Level 81", color=color.gray, linestyle=hline.style_dotted)
hline(91, "Level 91", color=color.gray, linestyle=hline.style_dotted)
Weekly Setup Scanner (Trend + Momentum + Squeeze)Trend → price above weekly 20 EMA.
Momentum → weekly MACD bullish (MACD > Signal).
Volatility → weekly squeeze (Bollinger Bands inside Keltner Channels).
If all 3 conditions align → it flags the setup
PSDIGreen Zone → Potential Buy Area
Price is near support.
Red Zone → Potential Sell Area
Price is near resistance.
EMA Lines
Blue (EMA50) above Orange (EMA200): Trend up → favors buys.
Blue below Orange: Trend down → favors sells.
How to Use
Look at zones and trend.
Price near green + trend up → consider long.
Price near red + trend down → consider short.
NOTE: When in uptrend, only follow green zones. When in down trend only follow red zones.
Edge Algo📈 Indicator Features:
• Provides accurate trades with up to 90% success rate
• Works on all currencies, stocks, crypto, and even futures
• Compatible with all timeframes: 1m / 5m / 15m / 30m / 1h / 1d
• Built on an AI system that detects stop-hunt zones to avoid stop-loss hits
• Gives you entry points, stop-loss (SL), and take-profit (TP) levels
Swing RSI Panel//@version=6
indicator("Swing RSI Panel", overlay=false)
// RSI Settings
rsiLength = input.int(14, "RSI Length")
rsiOversold = input.int(40, "RSI Oversold")
rsiOverbought = input.int(60, "RSI Overbought")
// Calculate RSI
rsiValue = ta.rsi(close, rsiLength)
// Plot RSI
plot(rsiValue, "RSI", color=color.purple, linewidth=2)
hline(50, "Midline", color=color.gray, linestyle=hline.style_dotted)
hline(rsiOversold, "Oversold", color=color.green, linestyle=hline.style_dotted)
hline(rsiOverbought, "Overbought", color=color.red, linestyle=hline.style_dotted)
// Fill zones
bgcolor(rsiValue >= rsiOverbought ? color.new(color.red, 90) :
rsiValue <= rsiOversold ? color.new(color.green, 90) : na, title="RSI Zones")
ALMA HẰNG DIỄM//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
EMA Order IndicatorPaints background as per the EMA order.
White when there is no order / mixed.
Red when bearish order
Green when bullish order
ALMA HẰNG DIỄM @//@version=5
indicator("ALMA Đa khung thời gian", overlay=true)
// Hàm ALMA tùy chỉnh
f_alma(src, len, offset, sigma) =>
m = math.floor(offset * (len - 1))
s = len > 1 ? len - 1 : 1
norm = 0.0
sum = 0.0
for i = 0 to len - 1
w = math.exp(-(math.pow(i - m, 2)) / (2 * math.pow(sigma, 2)))
norm := norm + w
sum := sum + src * w
sum / norm
// Tham số người dùng
alma_len_short = input.int(9, title="Chu kỳ ngắn")
alma_len_long = input.int(50, title="Chu kỳ dài")
alma_offset = input.float(0.85, title="Offset")
alma_sigma = input.float(6.0, title="Sigma")
// ALMA hiện tại (khung đang xem)
alma_short = f_alma(close, alma_len_short, alma_offset, alma_sigma)
alma_long = f_alma(close, alma_len_long, alma_offset, alma_sigma)
// ALMA khung D1
alma_d1_short = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_d1_long = request.security(syminfo.tickerid, "D", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// ALMA khung W1
alma_w1_short = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_short, alma_offset, alma_sigma))
alma_w1_long = request.security(syminfo.tickerid, "W", f_alma(close, alma_len_long, alma_offset, alma_sigma))
// Vẽ biểu đồ
plot(alma_short, color=color.orange, title="ALMA Ngắn (Hiện tại)")
plot(alma_long, color=color.blue, title="ALMA Dài (Hiện tại)")
plot(alma_d1_short, color=color.green, title="ALMA Ngắn (D1)", linewidth=1)
plot(alma_d1_long, color=color.red, title="ALMA Dài (D1)", linewidth=1)
plot(alma_w1_short, color=color.purple, title="ALMA Ngắn (W1)", linewidth=1)
plot(alma_w1_long, color=color.gray, title="ALMA Dài (W1)", linewidth=1)
// Chênh lệch ALMA hiện tại
plot(alma_short - alma_long, title="Chênh lệch ALMA", color=color.fuchsia, style=plot.style_columns)
Adaptive Gap Bands - DolphinTradeBot1️⃣ Overview
Adaptive Gap Bands is a momentum indicator that measures the percentage difference between fast and slow moving averages. This helps identify potential overbought or oversold zones.
The goal is to analyze “gap” behaviors within a trend and generate clearer entry–exit signals.
Since the bands are anchored to the slow moving average, they are more sensitive to the trend direction, making signals stronger in line with the prevailing trend.
📌 Signals do not repaint — once confirmed, they remain fixed on the chart.
2️⃣ How It Works ?
The indicator tracks the distance between fast and slow MAs.
The indicator measures the percentage gap between the fast and slow moving averages, relative to the slow MA.
Each time the gap reaches a new extreme during a swing, that value is stored.
When the averages cross, the stored values from the last N swings (defined by Swing Count) are collected.
These gap values are then averaged to create a smoother and more adaptive reference.
The bands are built by multiplying this average gap with the % Multiplier and projecting it around the slow MA.
3️⃣ How to Use It ?
Add the script to your chart.
Green label → potential Long signal.
Red label → potential Short signal.
Signals often appear when price moves outside the adaptive bands, showing extreme momentum.
Can also be used as a reference tool in manual trades to set profit/loss expectations.
By comparing upward vs. downward gaps, it can help analyze and confirm the dominant trend direction.
4️⃣⚙️ Settings
Swing Count → Number of past swings considered.
% Multiplier → Adjusts band width (narrower or wider).
MA Lengths & Types → Choose fast and slow moving averages (EMA, SMA, RMA, etc.).