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)
Jalur dan Saluran
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.).
inside forex vip📌 SuperTrend
Based on:
ATR Period (default 10).
Multiplier ATR (default 3).
Calculates the trend direction (upward/downward).
Generates buy/sell signals:
Buy: Positive crossover with EMA color matching (bullish).
Sell: Negative crossover with EMA color matching (bearish).
Hilly's 0010110 Reversal Scalping Strategy - 5 Min CandlesKey Features and Rationale:
Timeframe: Restricted to 5-minute candles as requested.
Pattern Integration: Includes single (Hammer, Shooting Star, Doji), two (Engulfing, Harami), and three-plus (Morning Star, Evening Star) candlestick patterns, plus reversal patterns based on RSI extremes.
VWAP Cross: Incorporates bullish (price crosses above VWAP) and bearish (price crosses below VWAP) signals, enhanced by trend context.
Volume Analysis: Uses a volume spike threshold to filter noise, with a simple day-start volume comparison for financial environment context.
Financial Environment: Approximates the day's sentiment using early-hour volume compared to current volume, adjusted by trend.
Aggregation: Scores each condition (e.g., 1 for basic patterns, 2 for strong patterns like Engulfing, 3 for three-candle patterns) and decides based on weighted consensus, with trendStrength as a tunable threshold.
Risky Approach: Minimal filtering and a low trendStrength (default 0.5) allow frequent signals, aligning with your $100-to-$200 goal, but expect higher risk.
Suggested Inputs:
EMA Length: 10 (short enough for 5-minute sensitivity).
VWAP Lookback: 1 (uses current session VWAP).
Volume Threshold Multiplier: 1.2 (moderate spike requirement).
RSI Length: 14 (standard, adjustable to 7 for more sensitivity).
Trend Strength Threshold: 0.5 (balance between signals; lower to 0.4 for more trades, raise to 0.6 for fewer).
Chart Patterns Buy Alerts (Intraday) - Bullish Patternschart pattern prediction
The script plots two things:
predicted_direction → +1 (up) or -1 (down).
predicted_value → the next bar’s estimated close price.
So on your chart you’ll see:
Blue histogram → shows up (+1) or down (-1) prediction.
Orange line → predicted next value.
Interpret the Output
If the blue bar is +1, the model expects the next candle to close higher.
If the blue bar is -1, the model expects the next candle to close lower.
The orange line shows where it thinks the next close will land.
Percentage Change per 5 Candles
🔎 What this indicator does
This indicator calculates and displays the percentage change of each candlestick directly on the chart.
• If a candle closed higher than it opened (bullish candle), it shows a positive % change (green).
• If a candle closed lower than it opened (bearish candle), it shows a negative % change (red).
• Small moves below your chosen threshold (e.g., 0.1%) are ignored to avoid clutter.
• The labels are placed above, below, or in the center of the candle (you choose).
So essentially, every candle “tells you in numbers” exactly how much it changed relative to its opening price.
________________________________________
⚙️ How it operates (the logic inside)
1. Calculate the change
o Formula:
\text{% Change} = \frac{(\text{Close} - \text{Open})}{\text{Open}} \times 100
o Example: If a candle opens at 100 and closes at 105, that’s a +5% change.
2. Round it nicely
o You can control decimals (e.g., show 2 decimals → +5.23%).
3. Filter out noise
o If a candle barely moved (say 0.02%), the label won’t appear unless you reduce the threshold.
4. Style the labels
o Bullish = green text, slightly transparent green background.
o Bearish = red text, slightly transparent red background.
o Neutral (0%) = gray.
5. Place the labels
o Options: above the candle, below the candle, or centered.
o Small vertical offset is applied so labels don’t overlap the candle itself.
________________________________________
📊 How this helps traders
This indicator turns visual candles into quantifiable numbers at a glance. Instead of guessing whether a move was “big” or “small,” you see it clearly.
Key Benefits:
1. Quick volatility analysis
o You can instantly see if candles are making big % swings or just small moves.
o This is especially useful on higher timeframes (daily/weekly) where moves can be large.
2. Pattern confirmation
o For example, you might spot a strong bullish engulfing candle — the % change label helps confirm whether it was truly significant (e.g., +4.5%) or just modest (+0.7%).
3. Noise filtering
o By setting a minimum % threshold, you only see labels when moves are meaningful (say > 0.5%). This keeps focus on important candles.
4. Backtesting & comparison
o You can compare moves across time:
“How strong was this breakout candle compared to the last one?”
“Are today’s bearish candles weaker or stronger than yesterday’s bullish candles?”
5. Better decision-making
o If you’re trading breakouts, reversals, or trend-following, knowing the % size of each candle helps confirm if the move has enough momentum.
________________________________________
✅ In short:
This indicator quantifies price action. Instead of just seeing “green” or “red” candles, you now know exactly how much the price changed in percentage terms, directly on the chart, in real time. It helps you distinguish between strong and weak moves and makes your analysis more precise.
________________________________________
Clear Signal Trading Strategy V5Clear Signal Trading Strategy - Description
This strategy uses a simple 0-5 point scoring system to identify high-probability trades. It combines trend following with momentum confirmation to generate clear BUY/SELL signals while filtering out market noise.
How it works: The strategy waits for EMA crossovers, then scores the setup based on trend alignment, momentum, RSI position, and volume. Only trades scoring above your chosen threshold are executed.
Recommended Settings by Market Type
For Beginners / Risk-Averse Traders:
Signal Sensitivity: Conservative
Volume Confirmation: ON
Risk Per Trade: 1-2%
Stop Loss Type: ATR
ATR Multiplier: 2.5
Risk:Reward Ratio: 2.0
For Trending Markets (Strong Directional Movement):
Signal Sensitivity: Balanced
Volume Confirmation: ON
Risk Per Trade: 2%
Stop Loss Type: ATR
ATR Multiplier: 2.0
Risk:Reward Ratio: 2.5-3.0
For Ranging/Choppy Markets:
Signal Sensitivity: Conservative
Volume Confirmation: ON
Risk Per Trade: 1%
Stop Loss Type: Percentage
Percentage Stop: 2%
Risk:Reward Ratio: 1.5
For Volatile Markets (Crypto/High Beta Stocks):
Signal Sensitivity: Conservative
Volume Confirmation: ON
Risk Per Trade: 1%
Stop Loss Type: ATR
ATR Multiplier: 3.0
Risk:Reward Ratio: 2.0
Best Practices
Timeframes:
15-minute to 1-hour for day trading
4-hour to daily for swing trading
Works best on liquid instruments with good volume
When to avoid trading:
When dashboard shows "HIGH" volatility above 4%
During major news events
When win rate drops below 40%
In markets with no clear trend (prolonged NEUTRAL state)
Success tips:
Start with Conservative mode until you see 10+ successful trades
Only increase to Balanced mode when win rate exceeds 55%
Never use Aggressive mode unless market shows strong trend for 5+ days
Always honor the stop loss - no exceptions
Take partial profits at first target if unsure
Supertrend0913This Pine Script (`@version=6`) combines **two Supertrend indicators** and a set of **moving averages (EMA & MA)** into one overlay chart tool for TradingView.
**Key features:**
* **Supertrend \ & \ :**
* Each has independent ATR period, multiplier, and ATR calculation method.
* Plots trend lines (green/red for \ , blue/yellow for \ ).
* Generates **buy/sell signals** when trend direction changes.
* Includes **alert conditions** for buy, sell, and trend reversals.
* **Moving Averages:**
* 6 EMAs (lengths 21, 55, 100, 200, 300, 400).
* 5 SMAs (lengths 11, 23, 25, 39, 200).
* Each plotted in different colors for trend visualization.
👉 In short: it’s a **combined trading tool** that overlays two configurable Supertrend systems with alerts plus multiple EMAs/SMAs to help identify trend direction, signals, and potential entry/exit points.
Profit booking Indicatorell signal when RSI < 40, MACD crosses zero or signal line downward in negative zone, close below 50 EMA, candle bearish.
Strong sell signal confirmed on 5-minute higher timeframe with same conditions.
Square off half/full signals as defined.
Target lines drawn bold based on previous swing lows and extended as described.
Blue candle color when RSI below 30.
One sell and one full square off per cycle, blocking repeated sells until full square off.
ICT Sweeps + FVG🔹 What is an iFVG?
• FVG → imbalance left by displacement (big move).
• iFVG (Inversion FVG) → when price returns to that gap later and flips it:
• Bullish FVG (support) → broken → becomes resistance = bearish iFVG.
• Bearish FVG (resistance) → broken → becomes support = bullish iFVG.
That’s why ICT often says “FVG becomes inversion when violated”.
⸻
🔹 Why You Don’t See FVG/iFVG Now
• The script you’re using only coded sweeps (BSS/SSL).
• It didn’t include the logic to:
1. Detect displacement candles.
2. Mark the FVG zone.
3. Flip it if price trades through → iFVG.
VPT-style Close-to-Close Indicator📈Cumulative momentum (close-to-close × rel. volume) | MA & Donchian optional | ⚡ Alerts
Key Features:
- Tracks cumulative price momentum using close-to-close changes weighted by relative volume.
- Optional smoothed line (SMA/EMA) to identify trend direction.
- Optional Donchian channels to detect potential breakouts and breakdowns.
- Includes alerts for:
- Moving average crosses (bullish/bearish)
- Local maxima/minima in cumulative momentum
- Donchian upper/lower channel breakouts
- Customizable inputs: smoothing length, channel lengths, scaling factor, and visibility toggles.
- Visual cues: line colors indicate momentum direction (green = up, red = down).
- Use Case: Quickly spot momentum shifts, trend direction, and breakout opportunities with clear alerts and visual cues.