Indicatori e strategie
Lakshmi - Vajra Energy Signal (VES)Vajra Energy Signal (VES) is an advanced volume analysis indicator that detects energy accumulated inside the market.
When assessing the strength of trading activity, conventional practice looks at the magnitude of volume; VES is designed with the understanding that the same volume can have different meanings depending on the price range.
VES analyzes the complex relationship between price movement and volume with a proprietary algorithm and can detect internal market activities that are invisible from surface‑level price action, visualizing the characteristic whereby the value rises before a breakout.
In other words, VES views the market as an “energy system.” In the energy accumulation phase, relatively high volume occurs relative to the price range, and in the energy release phase, the stored energy is emitted as high volatility in price, that is, a breakout—this is the core concept on which VES is established.
⚡️ Basic Demonstration
i.imgur.com
As you can see in the image above, VES simply displays the highs and lows of energy stored in the market as a thin line in a separate panel.
It is easy for traders to understand its intuitive patterns: it rises when hidden buying accumulation or selling activity continue and sink when a price breakout occurs. It can be applied across symbols and markets (stocks, commodities, cryptocurrencies, spot, and futures). While reducing clutter in price scale labels, it also supports dynamic autoscaling.
⚡️ Practical Usage
VES is expected to be used for the following purposes.
- Entry signal
When the VES value continues to rise—i.e., during energy accumulation—it can be considered on standby for a breakout. After a breakout, a trader can confirm the trend direction and enter.
- Exit signal
If the VES value rises during a trend, consider the possibility of a reversal and consider taking profits.
- Risk management
If the VES value remains elevated for a long period, regard it as increased market uncertainty and an approaching breakout; adopt a cautious trading strategy to prepare for higher volatility and adjust position size.
For example, in the BINANCE:SOLUSDT daily chart below, VES clearly shows how it functions in short‑term trading.
i.imgur.com
In September 2023, when the price was moving around 20 USDT, VES formed frequent small spikes. These early spikes suggest that market participants were still in a wait‑and‑see mode and that small‑scale accumulation was being conducted intermittently.
A decisive change came in early October 2023. While the price still stagnated in the 20–25 USDT range, VES suddenly formed a huge spike. The scale of this spike was far larger than those in September 2023, clearly suggesting that hidden substantial trading activities by large investors had begun.
In mid‑October 2023, the price began to rise. It climbed stepwise from 25 USDT to 40 USDT, then to 60 USDT and 75 USDT, and then surged to above 120 USDT within just a few weeks. This suggests that the energy built in the buy accumulation phase in early October 2023 was converted into price appreciation.
Therefore, after such a large VES signal is observed and the price breaks upward, entering a long position could have been profitable.
A large VES reaction is not only a quiet “buy signal” as in the example above; it can also be a “sell signal.” Such a case is explained below using an example on the BTC chart.
i.imgur.com
This BITSTAMP:BTCUSD 4‑hour chart is a valuable example showing how VES detects top formation on a short timeframe. In the first half of February 2024, the price moved in a relatively narrow 96,000–99,000 USD range. During this period, VES remained stable at low levels, and the market continued a calm uptrend.
The first sign appeared on February 16, 2024. While the price still held around 97,000 USD, VES formed a clearly identifiable small spike. This implied that some large investors had begun to take profits, or that new sellers had started to build short positions. However, at that point, the impact on price was limited, and many traders may have overlooked the signal.
The decisive turning point came on February 23, 2024. With the price moving around 98,000 USD, VES suddenly formed a huge spike. The scale of this spike was far larger than previous moves, clearly indicating that significant energy was accumulating.
Importantly, even at this moment the price still remained at the highs. On the surface, price barely moved and the bull trend appeared intact, but VES detected a major internal change underway.
On February 24, 2024, the price collapsed and began to fall. It dropped about 15% from 97,000 USD to 82,000 USD in a few days. The speed and magnitude of this decline corroborated the quiet “sell signal” indicated by the VES spikes.
The key lesson from this chart is that a VES spike does not necessarily mean buy accumulation. A large VES spike formed at high prices may instead indicate a distribution phase—that is, large investors exiting or building short positions. When the price is at elevated levels, a VES spike should be considered not only as a precursor to further upside but also as a warning of potential downside.
From a trading‑strategy perspective, the huge VES spike on February 23, 2024 was a clear signal to exit or to consider entering short positions. At that point, traders should have either closed long positions or to consider building a short position. The moment when price started to decline from its peak was exactly the entry timing for a short.
On the 4‑hour timeframe, changes in VES appear faster and more dramatically. While this allows more agile responses, the risk of false signals is also higher; therefore, confirmation on other timeframes and comprehensive judgment with price action are essential.
VES is a powerful tool for reading internal market activities, and this chart clearly shows that its interpretation requires flexibility that takes into account market conditions and price location.
⚡️ Parameter Settings
Strength 1: The lower the number, the more it emphasizes responses closer to the present timeframe; the higher the number, the more it emphasizes responses farther from the present timeframe. 5 is recommended.
Strength 2: The lower the number, the greater the volatility of the value; the higher the number, the smaller the volatility. 5 is recommended.
Scale: Adjusts the display scale. −30 is recommended.
⚡️ Conclusion
Vajra Energy Signal (VES) visualizes the cycle of energy accumulation in the market from the relative relationship between price range and volume, detecting hidden activities by market participants that conventional volume analysis cannot capture. VES serves as a powerful auxiliary tool for early detection of turning points, enabling deeper market understanding and more accurate timing decisions. As the examples show, there is a possibility of sensing major price movements in advance. When using VES, flexible interpretation according to market environment and price location is required, and it demonstrates its true value when combined with price action and other analysis methods such as support/resistance.
⚡️ Important Notes
- VES is a tool that infers internal market energy; it does not guarantee trades or suggest future results.
- We strongly recommend using it together with price action analysis and support/resistance.
- Confirmation across different timeframes improves reliability.
- Effectiveness may vary depending on market conditions and liquidity.
- Very illiquid instruments or newly listed assets may produce more noise.
⚡️ How to Get Access
This indicator is Public Invite‑Only. If you would like access, please apply by following the Author’s Instructions.
Session ORB 15m Synced + Pre-Sessions + MAs (final v3)Session ORB Live Pro — Pre-Market Boxes & MA Suite
Description (EN):
Session ORB Live Pro is a Pine v6 indicator built for intraday traders who rely on Opening Range Breakouts. It draws session boxes for London, New York, and Asia—plus configurable Pre-London and Pre-New York windows—live from the very first candle (no waiting for 10 bars). The high/low levels update in real time, and optional breakout alerts fire the moment price closes beyond the range. To keep charts clean and relevant for scalping, the boxes auto-hide on chart timeframes above 20 minutes.
Beyond ranges, the tool adds a compact moving-average suite: SMA-50 and RMA-200 out of the box, plus three fully customizable MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, thickness, and style (line, stepline, circles). Each session and pre-session can be toggled on/off and tinted with its own color, so you can tailor the visual map of liquidity grabs and range breaks to your strategy.
Key features
Live ORB boxes for London, New York, Asia (no 10-bar delay).
Pre-sessions: Pre-London & Pre-New York with independent time windows and colors.
Auto visibility filter: boxes show only on ≤ 20m chart TF; hidden on higher TFs.
Breakout alerts when price closes above/below the session range (ready for alert() rules).
MA toolkit: SMA-50, RMA-200 + 3 user MAs (SMA/EMA/RMA/WMA/HMA) with color, style, and width.
Clean inputs using input.session; robust, low-friction UX.
How to use
Set your ORB calculation timeframe (e.g., 15m) and choose which sessions/pre-sessions to display.
Pick colors for each box and enable alerts if you want instant breakout notifications.
Configure the MA suite for trend bias and dynamic S/R (e.g., SMA-50 for momentum, RMA-200 for bias).
Trade the first clean break or the retest of the ORB extremes—your choice. The visual map updates tick by tick.
Average True Range TrackerThis indicator calculates the daily ATR of the past 14 days. The ATR% indicates the range completed for the day. The ATR indicates the average daily range. The 20% ATR indicates the value of 20% of the daily ATR for retracement purposes.
Daily ATR TrackerThis indicator calculates the daily ATR of the past 14 days. The ATR% indicates the range completed for the day. The ATR indicates the average daily range. The 20% ATR indicates the value of 20% of the daily ATR for retracement purposes.
30m stratDefine a time range, and the indicator will highlight it with a shaded area
This indicator lets you visualize higher timeframe levels while viewing a lower timeframe chart.
Stop ATR [TheAlphaGroup]The Stop ATR is a volatility-based trailing stop that adapts dynamically to market conditions.
It uses the Average True Range (ATR) to plot a continuous “stair-step” line:
• In uptrend, the stop appears below price as a green line, rising with volatility.
• In downtrend, the stop appears above price as a red line, falling with volatility.
Unlike fixed stops, the Stop ATR never moves backward. It only trails in the direction of the trend, locking in profits while leaving room for price to move.
Key features:
• ATR-based trailing stop that adapts to volatility.
• Clean “one line only” design — no overlap of signals.
• Adjustable ATR period and multiplier for flexibility.
• Color-coded visualization for quick trend recognition.
How traders use it:
• Manage trades with volatility-adjusted stop placement (trailing stop).
• Identify trend reversals when price closes across the stop.
• Combine with other entry signals for a complete strategy.
FAILED 9Define a time range, and the indicator will highlight it with a shaded area.
The indicator helps you see higher timeframe structure while trading on a lower timeframes
HTF SwingFind swing formations on HTF
See in a table which LTF FVG setups get unlocked
FVG color based on unlocked status of HTF swing
Adaptive Heikin Ashi [CHE]Adaptive Heikin Ashi — volatility-aware HA with fewer fake flips
Summary
Adaptive Heikin Ashi is a volatility-aware reinterpretation of classic Heikin Ashi that continuously adjusts its internal smoothing based on the current ATR regime, which means that in quiet markets the indicator reacts more quickly to genuine directional changes, while in turbulent phases it deliberately increases its smoothing to suppress jitter and color whipsaws, thereby reducing “noise” and cutting down on fake flips without resorting to heavy fixed smoothing that would lag everywhere.
Motivation: why adapt at all?
Classic Heikin Ashi replaces raw OHLC candles with a smoothed construction that averages price and blends each new candle with the previous HA state, which typically cleans up trends and improves visual coherence, yet its fixed smoothing amount treats calm and violent markets the same, leading to the usual dilemma where a setting that looks crisp in a narrow range becomes too nervous in a spike, and a setting that tames high volatility feels unnecessarily sluggish as soon as conditions normalize; by allowing the smoothing weight to expand and contract with volatility, Adaptive HA aims to keep candles readable across shifting regimes without constant manual retuning.
What is different from normal Heikin Ashi?
Fixed vs. adaptive blend:
Classic HA implicitly uses a fixed 50/50 blend for the open update (`HA_open_t = 0.5 HA_open_{t-1} + 0.5 HA_close_{t-1}`), while this script replaces the constant 0.5 with a dynamic weight `w_t` that oscillates around 0.5 as a function of observed volatility, which turns the open update into an EMA-like filter whose “alpha” automatically changes with market conditions.
Volatility as the steering signal:
The script measures volatility via ATR and compares it to a rolling baseline (SMA of ATR over the same length), producing a normalized deviation that is scaled by sensitivity, clamped to ±1 for stability, and then mapped to a bounded weight interval ` `, so the adaptation is strong enough to matter but never runs away.
Outcome that matters to traders:
In high volatility, the weight shifts upward toward the prior HA open, which strengthens smoothing exactly where classic HA tends to “chatter,” while in low volatility the weight shifts downward toward the most recent HA close, which speeds up reaction so quiet trends do not feel artificially delayed; this is the practical mechanism by which noise and fake signals are reduced without accepting blanket lag.
How it works
1. HA close matches classic HA:
`HA_close_t = (Open_t + High_t + Low_t + Close_t) / 4`
2. Volatility normalization:
`ATR_t` is computed over `atr_length`, its baseline is `ATR_SMA_t = SMA(ATR, atr_length)`, and the raw deviation is `(ATR_t / ATR_SMA_t − 1)`, which is then scaled by `adapt_sensitivity` and clamped to ` ` to obtain `v_t`, ensuring that pathological spikes cannot destabilize the weighting.
3. Adaptive weight around 0.5:
`w_t = 0.5 + oscillation_range v_t`, giving `w_t ∈ `, so with a default `range = 0.20` the weight stays between 0.30 and 0.70, which is wide enough to matter but narrow enough to preserve HA identity.
4. EMA-like open update:
On the very first bar the open is seeded from a stable combination of the raw open and close, and thereafter the update is
`HA_open_t = w_t HA_open_{t−1} + (1 − w_t) HA_close_{t−1}`,
which is equivalent to an EMA where higher `w_t` means heavier inertia (more smoothing) and lower `w_t` means stronger pull to the latest price information (more responsiveness).
5. High and low follow classic HA composition:
`HA_high_t = max(High_t, max(HA_open_t, HA_close_t))`,
`HA_low_t = min(Low_t, min(HA_open_t, HA_close_t))`,
thereby keeping visual semantics consistent with standard HA so that your existing reading of bodies, wicks, and transitions still applies.
Why this reduces noise and fake signals in practice
Fake flips in HA typically occur when a fixed blending rule is forced to process candles during a volatility surge, producing rapid alternations around pivots or within wide intrabar ranges; by increasing smoothing exactly when ATR jumps relative to its baseline, the adaptive open stabilizes the candle body progression and suppresses transient color changes, while in the opposite scenario of compressed ranges, the reduced smoothing allows small but persistent directional pressure to reflect in candle color earlier, which reduces the tendency to enter late after multiple slow transitions.
Parameter guide (what each input really does)
ATR Length (default 14): controls both the ATR and its baseline window, where longer values dampen the adaptation by making the baseline slower and the deviation smaller, which is helpful for noisy lower timeframes, while shorter values make the regime detector more reactive.
Oscillation Range (default 0.20): sets the maximum distance from 0.5 that the weight may travel, so increasing it towards 0.25–0.30 yields stronger smoothing in turbulence and faster response in calm periods, whereas decreasing it to 0.10–0.15 keeps the behavior closer to classical HA and is useful if your strategy already includes heavy downstream smoothing.
Adapt Sensitivity (default 6.0): multiplies the normalized ATR deviation before clamping, such that higher sensitivity accelerates adaptation to regime shifts, while lower sensitivity produces gradual transitions; negative values intentionally invert the mapping (higher vol → less smoothing) and are generally not recommended unless you are testing a counter-intuitive hypothesis.
Reading the candles and the optional diagnostic
You interpret colors and bodies just like with normal HA, but you can additionally enable the Adaptive Weight diagnostic plot to see the regime in real time, where values drifting up toward the upper bound indicate a turbulent context that is being deliberately smoothed, and values gliding down toward the lower bound indicate a calm environment in which the indicator chooses to move faster, which can be valuable for discretionary confirmation when deciding whether a fresh color shift is likely to stick.
Practical workflows and combinations
Trend-following entries: use color continuity and body expansion as usual, but expect fewer spurious alternations around news spikes or into liquidity gaps; pairing with structure (swing highs/lows, breaks of internal ranges) keeps entries disciplined.
Exit management: when the diagnostic weight remains elevated for an extended period, you can be stricter with exit triggers because flips are less likely to be accidental noise; conversely, when the weight is depressed, consider earlier partials since the indicator is intentionally more nimble.
Multi-asset, multi-TF: the adaptation is especially helpful if you rotate instruments with very different vol profiles or hop across timeframes, since you will not need to retune a fixed smoothing parameter every time conditions change.
Behavior, constraints, and performance
The script does not repaint historical bars and uses only past information on closed candles, yet just like any candle-based visualization the current live bar will update until it closes, so you should avoid acting on mid-bar flips without a rule that accounts for bar close; there are no `security()` calls or higher-timeframe lookups, which keeps performance light and execution deterministic, and the clamping of the volatility signal ensures numerical stability even during extreme ATR spikes.
Sensible defaults and quick tuning
Start with the defaults (`ATR 14`, `Range 0.20`, `Sensitivity 6.0`) and observe the weight plot across a few volatile events; if you still see too many flips in turbulence, either raise `Range` to 0.25 or trim `Sensitivity` to 4–5 so that the weight can move high but does not overreact, and if the indicator feels too slow in quiet markets, lower `Range` toward 0.15 or raise `Sensitivity` to 7–8 to bias the weight a bit more aggressively downward when conditions compress.
What this indicator is—and is not
Adaptive Heikin Ashi is a context-aware visualization layer that improves the signal-to-noise ratio and reduces fake flips by modulating smoothing with volatility, but it is not a complete trading system, it does not predict the future, and it should be combined with structure, risk controls, and position management that fit your market and timeframe; always forward-test on your instruments, and remember that even adaptive smoothing can delay recognition at sharp turning points when volatility remains elevated.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
ORB Storico + Box Multipli + Notifiche (final clean v2)Session ORB Live Pro — Pre-Market Boxes & MA Suite
Description (EN):
Session ORB Live Pro is a Pine v6 indicator built for intraday traders who rely on Opening Range Breakouts. It draws session boxes for London, New York, and Asia—plus configurable Pre-London and Pre-New York windows—live from the very first candle (no waiting for 10 bars). The high/low levels update in real time, and optional breakout alerts fire the moment price closes beyond the range. To keep charts clean and relevant for scalping, the boxes auto-hide on chart timeframes above 20 minutes.
Beyond ranges, the tool adds a compact moving-average suite: SMA-50 and RMA-200 out of the box, plus three fully customizable MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, thickness, and style (line, stepline, circles). Each session and pre-session can be toggled on/off and tinted with its own color, so you can tailor the visual map of liquidity grabs and range breaks to your strategy.
Key features
Live ORB boxes for London, New York, Asia (no 10-bar delay).
Pre-sessions: Pre-London & Pre-New York with independent time windows and colors.
Auto visibility filter: boxes show only on ≤ 20m chart TF; hidden on higher TFs.
Breakout alerts when price closes above/below the session range (ready for alert() rules).
MA toolkit: SMA-50, RMA-200 + 3 user MAs (SMA/EMA/RMA/WMA/HMA) with color, style, and width.
Clean inputs using input.session; robust, low-friction UX.
How to use
Set your ORB calculation timeframe (e.g., 15m) and choose which sessions/pre-sessions to display.
Pick colors for each box and enable alerts if you want instant breakout notifications.
Configure the MA suite for trend bias and dynamic S/R (e.g., SMA-50 for momentum, RMA-200 for bias).
Trade the first clean break or the retest of the ORB extremes—your choice. The visual map updates tick by tick.
SMC Volatility Liquidity Prothis one’s a confluence signaler. it fires “BUY CALL” / “BUY PUT” labels only when four things line up at once: trend, volatility squeeze, a liquidity sweep, and MACD momentum. quick breakdown:
what each block does
Trend filter (context)
ema50 > ema200 ⇒ trendUp
ema50 < ema200 ⇒ trendDn
Plots both EMAs for visual context.
Volatility compression (setup)
20-period Bollinger Bands (stdev 2).
bb_squeeze is true when current band width < its 20-SMA ⇒ price is compressed (potential energy building).
Liquidity sweep (trigger)
Tracks 20-bar swing high/low.
Long sweep: high > swingHigh ⇒ price just poked above the prior 20-bar high (took buy-side liquidity).
Short sweep: low < swingLow ⇒ price just poked below the prior 20-bar low (took sell-side liquidity).
MACD momentum (confirmation)
Standard MACD(12,26,9) histogram.
Bullish: hist > 0 and rising versus previous bar.
Bearish: hist < 0 and falling.
the actual entry signals
LongEntry = trendUp AND bb_squeeze AND liquiditySweepLong AND macdBullish
→ prints a green “BUY CALL” label below the bar.
ShortEntry = trendDn AND bb_squeeze AND liquiditySweepShort AND macdBearish
→ prints a red “BUY PUT” label above the bar.
alerts & dashboard
Alerts: fires when those long/short conditions hit so you can set TradingView alerts on them.
On-chart dashboard (bottom-right):
Trend (Bullish/Bearish/Neutral)
Squeeze (Yes/No)
Liquidity (Long/Short/None)
Momentum (Bullish/Bearish/Neutral)
Current Signal (BUY CALL / BUY PUT / WAIT)
(btw the comment says “2 columns × 5 rows” but the table is actually 5 columns × 2 rows—values under each label across the row.)
what it’s trying to capture (in plain english)
Trade with the higher-timeframe bias (EMA 50 over 200).
Enter as volatility compresses (bands tight) and a sweep grabs stops beyond a 20-bar extreme.
Only pull the trigger when momentum agrees (MACD hist direction & side of zero).
caveats / tips
It’s an indicator, not a strategy—no entries/exits/backtests baked in.
Signals are strict (4 filters), so you’ll get fewer but “cleaner” prints; still not magical.
The liquidity-sweep check uses the prior bar’s 20-bar high/low ( ), so on bar close it won’t repaint; intrabar alerts may feel jumpy if you alert “on every tick.”
Consider adding:
Exit logic (e.g., ATR stop + take-profit, or opposite signal).
Minimum squeeze duration (e.g., bb_squeeze true for N bars) to avoid one-bar dips in width.
Cool-down after a signal to prevent clustering.
Session/time or volume filter if you only want liquid hours.
if you want, I can convert this into a backtestable strategy() version with ATR-based stops/targets and a few toggles, so you can see stats right away.
LT's RSI Invalidation Targets//@version=5
indicator("Triple RSI Divergence", overlay=true)
// === INPUTS ===
rsiLength = input.int(14, title="RSI Length")
src = input.source(close, "Source")
lookback = input.int(50, title="Lookback Period")
// === RSI ===
rsi = ta.rsi(src, rsiLength)
// === Find local peaks and troughs ===
isTop = ta.pivothigh(rsi, 5, 5)
isBottom = ta.pivotlow(rsi, 5, 5)
var float rsiTroughs = array.new_float()
var float priceTroughs = array.new_float()
var int rsiTroughBars = array.new_int()
if isBottom
array.unshift(rsiTroughs, rsi )
array.unshift(priceTroughs, low )
array.unshift(rsiTroughBars, bar_index )
if array.size(rsiTroughs) > 3
array.pop(rsiTroughs)
array.pop(priceTroughs)
array.pop(rsiTroughBars)
// === Check for triple bullish divergence ===
bullDiv = false
if array.size(rsiTroughs) == 3
r1 = array.get(rsiTroughs, 2)
r2 = array.get(rsiTroughs, 1)
r3 = array.get(rsiTroughs, 0)
p1 = array.get(priceTroughs, 2)
p2 = array.get(priceTroughs, 1)
p3 = array.get(priceTroughs, 0)
// Price: Lower lows, RSI: Higher lows
if p1 > p2 and p2 > p3 and r1 < r2 and r2 < r3
bullDiv := true
label.new(array.get(rsiTroughBars, 0), low, "Triple Bullish Divergence", style=label.style_label_up, color=color.green, textcolor=color.white)
// === Same for triple bearish divergence ===
var float rsiPeaks = array.new_float()
var float pricePeaks = array.new_float()
var int rsiPeakBars = array.new_int()
if isTop
array.unshift(rsiPeaks, rsi )
array.unshift(pricePeaks, high )
array.unshift(rsiPeakBars, bar_index )
if array.size(rsiPeaks) > 3
array.pop(rsiPeaks)
array.pop(pricePeaks)
array.pop(rsiPeakBars)
bearDiv = false
if array.size(rsiPeaks) == 3
r1 = array.get(rsiPeaks, 2)
r2 = array.get(rsiPeaks, 1)
r3 = array.get(rsiPeaks, 0)
p1 = array.get(pricePeaks, 2)
p2 = array.get(pricePeaks, 1)
p3 = array.get(pricePeaks, 0)
// Price: Higher highs, RSI: Lower highs
if p1 < p2 and p2 < p3 and r1 > r2 and r2 > r3
bearDiv := true
label.new(array.get(rsiPeakBars, 0), high, "Triple Bearish Divergence", style=label.style_label_down, color=color.red, textcolor=color.white)
MACD (The Moving Average Convergence Divergence)The Moving Average Convergence Divergence (MACD) is a momentum indicator used in technical analysis to identify trends, measure their strength, and signal potential reversals. It is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA, creating the MACD line. A 9-period EMA of the MACD line, known as the signal line, is then plotted to generate buy or sell signals. Positive MACD values suggest upward momentum, while negative values indicate downward momentum. Traders often watch for crossovers, divergences, and movements relative to the zero line to make informed decisions.
Ch Enhanced Buy Sell Volume// ========================================
// 📊 HOW TO READ THIS INDICATOR 📊
// ========================================
//
// 🟢 GREEN BARS (Above Zero) = BUY VOLUME
// 🔴 RED BARS (Below Zero) = SELL VOLUME
//
// 💡 BAR COLORS MEANING:
// • DARK GREEN = Strong buyer dominance (high conviction buying)
// • LIGHT GREEN = Weak buyer dominance (low conviction)
// • DARK RED = Strong seller dominance (high conviction selling)
// • LIGHT RED = Weak seller dominance (low conviction)
//
// 🎯 TRADING SIGNALS:
// • Tall dark green bars = Strong bullish momentum
// • Tall dark red bars = Strong bearish momentum
// • Light colored bars = Weak conviction, potential reversal
// • Green bars > Red bars = Buyers winning
// • Red bars > Green bars = Sellers winning
//
// 📈 BULLISH SIGNALS:
// • Buy% > 70% = Strong buying interest
// • Dark green bars with high delta = Professional buying
// • Buy volume above yellow MA line = Above average buying
//
// 📉 BEARISH SIGNALS:
// • Sell% > 70% = Strong selling pressure
// • Dark red bars with high delta = Professional selling
// • Sell volume below yellow MA line = Above average selling
//
// ⚠️ WARNING SIGNALS:
// • Price up + Red dominance = Bearish divergence
// • Price down + Green dominance = Bullish divergence
// • Low delta (<10%) = Market indecision
//
// 📊 INFO TABLE (Top-Right):
// • Buy%: Percentage of volume that was buying
// • Sell%: Percentage of volume that was selling
// • Delta%: Strength of dominance (difference between buy/sell)
// • Dom: Which side is currently dominant (BUYERS/SELLERS)
//
// 🟡 YELLOW LINES = Volume Moving Average
// • Upper line: Reference for buy volume (green bars)
// • Lower line: Reference for sell volume (red bars)
// • Above yellow = Higher than average volume
// • Below yellow = Lower than average volume
Session High Low TrackerTracks the Asia, London, NY AM and NY PM swing highs and lows. What's different here is when a level is broken, it can continue to draw a dotted line so the levels stay on the chart until
end of day. Also has shading options for each session.
RK Scalper V1.0Version 1.0
Scalper Indicator
Use multiple options to decide the best possible scalping possibilities on 1, 3, 5 and 15 min timeframes
1. 3 different EMA trend lines to decide direction and reversal; option to include EMA crossover to take entry and exit positions
2. Show signal when price cross VWAP with huge volume
3. Show SuperTrend and identify possible reversal when price touches the SuperTrend line
4. Show VWAP line
5. Show SuperTrend VWAP crossover with an option to either include volume spike or not
6. Show VWMA line to decide exit points when price moves below at buy and above at sell positions
7. Show Open=High / Open-Low to see the buy and sell pressure and buyer seller dominance
8. Show Volume spike indication on Volume for NIFTY, BANK NIFTY and MIDCAP NIFTY futures volume on their respective underlying asset
9.
Note: It is batter to use scalp indicator along with trend and momentum indicators to have better results.
Synthesis DeFi - Fractals - Daily - v7.0This is a free trial version of SynthesisDeFi.com fractals.
A simplified fractal analysis indicator that identifies key market structure points on daily timeframes. This tool automatically detects trend reversals and plots fractal highs and lows with connecting lines, helping traders visualize major support and resistance levels
Why use Synthesis DeFi fractals?
Harmonic Patterns
Wycoff
Elliot Waves
Dow Theory
Created by Oliver Fujimori | SynthesisDeFi.com
Perfect for swing traders and position traders focused on daily market structure analysis
ATR Risk Leverage Indicator - PropCominiView the screenshot here:
(i.imgur.com)
이 지표는 시장 변동성을 기반으로 사용자가 결정한 최대감수손실률에 따라서 자동으로 적정 레버리지가 계산되고, 시각화되는 리스크 관리 및 포지션 사이즈닝 지표입니다.
주요 기능
ATR 기반 변동성 측정
지정 기간과 배수로 가격 변동 범위를 계산
현재 가격 대비 상/하한선 라인 표시 → 손절가와 시장 변동성 한눈에 확인
멀티타임프레임 지원
선택한 타임프레임(1, 3, 5, 15, 60, 240, D) ATR과 가격 정보 활용 가능
단일 차트에서 스윙 및 데이 트레이딩 전략 적용 가능
리스크 기반 레버리지 계산
손실 허용 비율(%) 기준으로 적정 레버리지 자동 계산
ATR 손절 거리와 결합 → 안전한 포지션 sizing
직관적 시각화
ATR 상/하한선 라인 표시
테이블로 변동 범위, 변동률, 추천 레버리지 제공
색상, 텍스트 크기, 위치 자유롭게 커스터마이징 가능
장점
리스크 관리 최적화: 과도한 레버리지 사용 방지, 변동성이 큰 구간 포지션 조절 가능
즉각적 의사결정 지원: ATR 범위와 레버리지 정보 한눈에 확인
멀티타임 전략 활용: 다른 시간대 정보로 전략 다양화
초보부터 전문가까지 활용 가능: 손절 거리, 변동률, 레버리지 직관적 확인
사용법
ATR 배수와 기간을 전략과 변동성 수준에 맞게 조정
손실 허용 비율(risk%) 설정 → 적정 레버리지 자동 계산
테이블과 라인 표시 옵션 활용 → 차트 가독성 최적화
멀티타임프레임 분석으로 장중 변동성과 포지션 전략 확인
This indicator automatically calculates the optimal leverage based on market volatility and the maximum acceptable loss percentage set by the user. It visualizes risk management and position sizing, helping traders make informed decisions.
Key Features
ATR-Based Volatility Measurement
Calculates the price range based on the specified period and multiplier.
Displays upper and lower lines relative to the current price → quickly check stop-loss levels and market volatility.
Multi-Timeframe Support
Uses ATR and price data from selected timeframes (1, 3, 5, 15, 60, 240 minutes, or Daily).
Can be applied to both swing and day trading strategies on a single chart.
Risk-Based Leverage Calculation
Automatically calculates optimal leverage based on the user-defined risk percentage.
Combines ATR-based stop-loss distance → ensures safe position sizing.
Intuitive Visualization
Shows ATR-based upper and lower lines.
Displays a table with price range, volatility percentage, and recommended leverage.
Customizable colors, text size, and table position for improved chart readability.
Advantages
Optimized Risk Management: Prevents excessive leverage usage, helps adjust positions during high volatility.
Instant Decision Support: Quickly check ATR ranges and leverage information.
Multi-Timeframe Strategy Utilization: Allows strategy diversification using different timeframes.
Suitable for All Traders: Both beginners and professionals can intuitively check stop-loss distance, volatility, and leverage.
How to Use
Adjust ATR multiplier and period according to your strategy and market volatility.
Set the risk percentage → the indicator automatically calculates the optimal leverage.
Use table and line display options → enhance chart readability.
Analyze multi-timeframe data to monitor intraday volatility and position strategy.
AMHA + 4 EMAs + EMA50/200 Counter + Avg10CrossesDescription:
This script combines two types of Heikin-Ashi visualization with multiple Exponential Moving Averages (EMAs) and a counting function for EMA50/200 crossovers. The goal is to make trends more visible, measure recurring market cycles, and provide statistical context without generating trading signals.
Logic in Detail:
Adaptive Median Heikin-Ashi (AMHA):
Instead of the classic Heikin-Ashi calculation, this method uses the median of Open, High, Low, and Close. The result smooths out price movements, emphasizes trend direction, and reduces market noise.
Standard Heikin-Ashi Overlay:
Classic HA candles are also drawn in the background for comparison and transparency. Both HA types can be shifted below the chart’s price action using a customizable Offset (Ticks) parameter.
EMA Structure:
Five exponential moving averages (21, 50, 100, 200, 500) are included to highlight different trend horizons. EMA50 and EMA200 are emphasized, as their crossovers are widely monitored as potential trend signals. EMA21 and EMA100 serve as additional structure layers, while EMA500 represents the long-term trend.
EMA50/200 Counter:
The script counts how many bars have passed since the last EMA50/200 crossover. This makes it easy to see the age of the current trend phase. A colored label above the chart displays the current counter.
Average of the Last 10 Crossovers (Avg10Crosses):
The script stores the last 10 completed count phases and calculates their average length. This provides historical context and allows traders to compare the current cycle against typical past behavior.
Benefits for Analysis:
Clearer trend visualization through adaptive Heikin-Ashi calculation.
Multi-EMA setup for quick structural assessment.
Objective measurement of trend phase duration.
Statistical insight from the average cycle length of past EMA50/200 crosses.
Flexible visualization through adjustable offset positioning below the price chart.
Usage:
Add the indicator to your chart.
For a clean look, you may switch your chart type to “Line” or hide standard candlesticks.
Interpret visual signals:
White candles = bullish phases
Orange candles = bearish phases
EMAs = structural trend filters (e.g., EMA200 as a long-term boundary)
The counter label shows the current number of bars since the last cross, while Avg10 represents the historical mean.
Special Feature:
This script is not a trading system. It does not provide buy/sell recommendations. Instead, it serves as a visual and statistical tool for market structure analysis. The unique combination of Adaptive Median Heikin-Ashi, multi-EMA framework, and EMA50/200 crossover statistics makes it especially useful for trend-followers and swing traders who want to add cycle-length analysis to their toolkit.
Moon Phases Prediction🌙 Moon Phases (with Next Event Projection)
Introduction
This indicator plots Moon Phases (New Moon and Full Moon) directly on your chart.
In addition to showing historical phases, it also calculates and projects the upcoming next moon phase using precise astronomical formulas.
Features
Marks New Moons with circles above bars.
Marks Full Moons with circles below bars.
Dynamically adjusts background color based on waxing/waning phase.
Calculates and displays the next upcoming moon event as a label positioned in the future.
Works on all timeframes (except Monthly).
How It Works
Uses astronomical approximations (Julian Day → UNIX time conversion).
Detects the last occurred New Moon or Full Moon.
Projects the next moon event by adding half a synodic month (~14.77 days).
Displays the next event label at its exact future date on the chart.
Customization
Waxing Moon color (default: Blue)
Waning Moon color (default: White)
Use Cases
Astro-finance: lunar cycles and market psychology.
Trading strategies: aligning entries/exits with cyclical behavior.
Visualization: adding an extra dimension of timing to chart analysis.
Notes
- The future moon event is displayed as a circle label on the correct date.
- If you cannot see the label, increase your chart’s right margin (Chart Settings → Scales → Right Margin).
- Calculations are approximate but astronomically accurate enough for trading or visual use.
Conclusion
This indicator is a simple yet powerful tool for traders interested in the influence of lunar cycles.
By combining historical phases with a projected next event, you can always be aware of where the market stands in the moon cycle timeline.
DHYT Moon Cycles IndicatorThis indicator tracks the moon cycles which seem to correlate with bullish and bearish periods for Cryptocurrency trading. This indicator allows you to calibrate these windows using recent moon phase dates and times. You can also add customizable highlighted bands before and after these events to highlight these bullish and bearish periods.
Created by: Dan Heilman
