Indikator
mbergeschI built this indicator to make my market read cleaner, faster, and more objective.
It brings together the main elements I use when analyzing momentum stocks:
• moving averages to understand trend and pace;
• benchmark comparison to see how the stock is performing against the market;
• relative strength to identify true leadership;
• tables with key information to support faster decision-making.
The goal is not to predict the future or automate the process. The goal is to reduce noise and make it easier to see when a stock is actually standing out.
For me, a good setup is not just price breaking out. It needs context: trend, relative strength, market comparison, structure, volume, and narrative.
This indicator was built around that idea: turning the chart into a cleaner and more practical decision-making dashboard for momentum trading.
Not financial advice. Just a tool for process, discipline, and better market reading.
Indikator
Smart Entry Predictive Fib TP SLSmart Entry — Predictive Fib Zones with TP / SL Levels
This indicator combines Fibonacci retracement, EMA, SMA, RSI and Volume POC (Point of Control) to generate a single clear trading decision — BUY or SELL — with exact entry, take profit and stop loss levels drawn directly on the chart.
How it works:
The script analyses the last 30 candles to auto-detect the swing high and low, then calculates all key Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.705, 0.786). A directional bias score is computed from RSI position, EMA9/EMA21 alignment, price vs SMA50, and volume pressure. Because BUY% and SELL% are derived from the same inverse bias, they can never both read high at the same time.
What you get on the chart:
ENTRY line — exact price to enter
TP 1, TP 2, TP 3 — three take profit targets with % gain and R:R ratio per level
STOP LOSS line — with % risk clearly labelled
Volume POC — the highest-volume price node over the lookback period, used to refine the entry price
Projected zone boxes to the right showing where price is likely to react before it gets there
Live info table with all levels, RSI, EMA alignment, volume status and bias
Indicators used: Fibonacci · EMA 9/21 · SMA 50 · RSI 14 · Volume POC
For educational purposes. Always manage your own risk. Indikator
Indikator
Indikator
Moving Average MTF**Moving Average MTF (Multi-Timeframe)**
This indicator plots three fully customizable moving averages, each calculated from an independent timeframe of your choice. Instead of being limited to the timeframe of your chart, each MA pulls data directly from its assigned timeframe — giving you a layered view of trend across multiple time horizons simultaneously.
By default the three MAs are set to 15 minutes, 1 hour, and 4 hours, all using a 50-period SMA. This makes the indicator best suited for use on a 5-minute chart, where all three timeframes sit above your chart and give you a clear short, medium, and macro trend stack in a single view.
---
**Settings**
Each of the three MAs has its own independent group of controls:
- **Show MA** — Toggles the MA line on or off without removing it from the settings.
- **Show Label** — Toggles the end-of-line label that appears to the right of the last candle. The label displays the MA type, length, timeframe, and current value.
- **Length** — The number of candles used to calculate the MA, based on its assigned timeframe. Default is 50 for all three.
- **Timeframe** — The timeframe the MA is calculated from, regardless of what timeframe your chart is on. You can type any valid timeframe directly into this field.
- **Type** — The moving average algorithm. Choose from SMA, EMA, WMA, VWMA, RMA, or HMA.
- **Line Style** — Choose between Solid, Stepline, or Circles.
- **Line Thickness** — Controls the width of the line from 1 to 10.
- **Color** — Full color picker to set each MA to any color you prefer.
---
**How to Use**
Keep your chart timeframe at or below the lowest MA timeframe you have set. With the defaults of 15min, 1h, and 4h, running the indicator on a 5-minute chart gives you the most meaningful read. When all three MAs are stacked and sloping in the same direction, trend is aligned across all three timeframes — the highest conviction environment for a trade. When they are tangled or conflicting, the market is in an indecisive state and it is generally best to wait for clarity.
---
**Important Note**
If your chart timeframe is higher than any of the MA timeframes you have set, that MA will still display but the value will not be meaningful. The indicator will not produce errors — it is purely a logical consideration. Always ensure your chart timeframe sits below your lowest MA timeframe for accurate results. Indikator
Indikator
Indikator
MV DetectorAbsolutely 👍 Let’s first understand **each part of the current script** properly. Once you understand this, the **pro version** will make much more sense.
Think of the current script as a **Minervini Trend Template filter** — it does **not** find exact buy points yet. It only tells you:
> “This stock is in a strong enough technical trend to study further.”
***
# 1. Moving Averages: 50, 150, 200 DMA
Your script calculates:
```pinescript
sma50 = ta.sma(close, 50)
sma150 = ta.sma(close, 150)
sma200 = ta.sma(close, 200)
```
These are:
* **50 DMA** = short/medium-term trend
* **150 DMA** = intermediate trend
* **200 DMA** = long-term trend
In Minervini’s method, a strong stock usually has:
```text
Price > 50 DMA > 150 DMA > 200 DMA
```
This means the stock is in a **clean uptrend**.
***
# 2. Plotting the Moving Averages
```pinescript
plot(sma50, color=color.blue, linewidth=2)
plot(sma150, color=color.orange, linewidth=2)
plot(sma200, color=color.red, linewidth=2)
```
This simply draws the lines on your chart.
Your visual meaning:
| Line | Meaning |
| ------ | ------- |
| Blue | 50 DMA |
| Orange | 150 DMA |
| Red | 200 DMA |
Ideal Minervini structure:
```text
Blue line above Orange line above Red line
```
That shows strength.
***
# 3. Condition 1: Price Above 150 and 200 DMA
```pinescript
cond1 = close > sma150 and close > sma200
```
This checks whether price is above both:
* 150 DMA
* 200 DMA
Why it matters:
If price is below these, the stock may still be weak or in a downtrend.
Minervini wants stocks already showing strength, not “cheap” stocks.
***
# 4. Condition 2: 150 DMA Above 200 DMA
```pinescript
cond2 = sma150 > sma200
```
This confirms the **intermediate trend is stronger than the long-term trend**.
If 150 DMA is below 200 DMA, the stock may still be recovering.
Good structure:
```text
150 DMA > 200 DMA
```
Bad structure:
```text
150 DMA < 200 DMA
```
***
# 5. Condition 3: 200 DMA Trending Up
```pinescript
cond3 = sma200 > sma200
```
This checks whether the 200 DMA today is higher than it was 20 trading days ago.
In simple terms:
> Is the long-term trend rising?
This is very important because a stock can be above the 200 DMA temporarily, but if the 200 DMA is still falling, the overall structure may not be strong yet.
***
# 6. Condition 4: 50 DMA Above 150 and 200 DMA
```pinescript
cond4 = sma50 > sma150 and sma50 > sma200
```
This confirms short-term momentum is stronger than both intermediate and long-term trends.
Good structure:
```text
50 DMA > 150 DMA > 200 DMA
```
This is one of the most important Minervini-style confirmations.
***
# 7. Condition 5: Price Above 50 DMA
```pinescript
cond5 = close > sma50
```
This means price is currently strong even in the short term.
If price is below 50 DMA, the stock may be correcting or losing momentum.
A strong stock usually stays above or near the 50 DMA during its advance.
***
# 8. Condition 6: Price Within 25% of 52-Week High
```pinescript
hh52 = ta.highest(high, 252)
cond6 = close >= hh52 * 0.75
```
Here:
* `252` means approximately 252 trading days in a year
* `hh52` = highest price in the last 252 trading days
* `hh52 * 0.75` means price should be at least 75% of its 52-week high
Example:
If 52-week high = ₹100
Then:
```text
₹100 × 0.75 = ₹75
```
So the current price must be above ₹75.
Why this matters:
Minervini prefers stocks **near highs**, not stocks lying near lows.
Strong stocks usually stay near their 52-week highs.
***
# 9. Condition 7: Price At Least 30% Above 52-Week Low
```pinescript
ll52 = ta.lowest(low, 252)
cond7 = close >= ll52 * 1.3
```
Here:
* `ll52` = lowest price in the last 252 trading days
* `ll52 * 1.3` means price should be at least 30% above its 52-week low
Example:
If 52-week low = ₹100
Then:
```text
₹100 × 1.3 = ₹130
```
So the current price must be above ₹130.
Why this matters:
A strong stock should have moved meaningfully away from its lows.
***
# 10. Final Trend Template Result
```pinescript
trendTemplate = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7
```
This is the main decision line.
It says:
> Only if all 7 conditions are true, mark the stock as Minervini Trend Template PASS.
If even one condition fails, no PASS.
So this is strict, which is good.
***
# 11. Green Background
```pinescript
bgcolor(trendTemplate ? color.new(color.green, 85) : na)
```
This visually highlights the chart when the stock passes all rules.
Meaning:
* Green background = stock passes Minervini Trend Template
* No background = stock fails at least one rule
This helps you scan charts faster.
***
# 12. Triangle Signal
```pinescript
plotshape(trendTemplate == true,
location=location.abovebar,
style=shape.triangleup,
color=color.green,
size=size.small)
```
This plots a green triangle above the candle when the stock passes.
Important:
This is **not a buy signal**.
It only means:
> “This stock is technically strong enough to study.”
You still need to check for base, VCP, breakout, volume, risk-reward, etc.
***
# 13. Alert Condition
```pinescript
alertcondition(trendTemplate == true, title="PASS", message="Minervini PASS")
```
This allows TradingView to trigger an alert when a stock passes the condition.
You can use it by:
1. Click **Alert**
2. Select your indicator
3. Choose condition: **PASS**
4. Create alert
But remember: alerts work best when applied to a chart/watchlist, not as a full-market scanner.
***
# What This Script Helps You Do
This script helps you avoid weak stocks.
It filters out:
* Stocks below major moving averages
* Stocks far away from highs
* Stocks near lows
* Stocks with weak long-term trend
* Stocks without proper moving average alignment
So your rule becomes:
```text
No Trend Template PASS = No serious study
```
***
# What This Script Does NOT Do Yet
Your current script does **not** detect:
* VCP pattern
* Tight consolidation
* Breakout level
* Volume dry-up
* Buy point
* Stop-loss
* Relative strength vs Nifty
* Risk/reward
That is why we need a **pro version**.
***
# How to Use Current Script Properly
When a stock shows PASS, then manually check:
## 1. Is it extended?
Avoid buying if price is too far above 50 DMA.
Example:
```text
Price 20–30% above 50 DMA = risky/extended
```
## 2. Is it forming a base?
Look for sideways movement after a strong uptrend.
Good:
```text
Stock rises → pauses → tightens → breaks out
```
Bad:
```text
Stock rises vertically → you chase at top
```
## 3. Is volume drying up during consolidation?
Good base usually has falling volume during pullback.
This means selling pressure is reducing.
## 4. Is breakout volume strong?
Breakout should ideally happen with higher-than-average volume.
***
# Simple Interpretation
| Signal | Meaning | Action |
| ------------------------- | --------------------- | ----------------------------- |
| No PASS | Weak/not ready | Ignore |
| PASS but extended | Strong but risky | Wait |
| PASS + tight base | Good candidate | Watch closely |
| PASS + breakout on volume | Potential trade setup | Consider entry with stop-loss |
***
# What We’ll Add in Pro Version
Now that your base script works, the pro version can add:
## 1. Relative Strength vs Nifty
This checks whether the stock is outperforming Nifty.
Good stocks should beat the index.
***
## 2. Volume Expansion
This checks whether breakout volume is above average.
Example:
```text
Today volume > 1.5 × 50-day average volume
```
***
## 3. Tightness / VCP Logic
This detects whether volatility is reducing.
A basic version can check:
* Recent range is smaller than previous range
* ATR is contracting
* Price is not swinging wildly
***
## 4. Breakout Level
The script can mark recent resistance/high.
Example:
```text
Breakout above 20-day high or base high
```
***
## 5. Buy Signal
Only when:
```text
Trend Template PASS
+ Breakout
+ Volume confirmation
+ Tight base
```
Then it shows a buy signal.
***
## 6. Stop-Loss Suggestion
It can plot:
* Recent swing low
* 50 DMA
* ATR-based stop
***
# Final Understanding
Your current script is a **quality filter**.
The pro version will become a **setup detector**.
Current script:
```text
Is this stock strong?
```
Pro version:
```text
Is this stock strong AND giving a possible entry setup?
```
***
Indikator
Indikator
MARS V4.0MARS 4.0 is a trend-structure and portfolio management framework designed to identify, classify, and manage equity trends through their full lifecycle.
Rather than functioning as a traditional buy/sell indicator, MARS 4.0 acts as a market regime engine that evaluates:
structural trend quality,
trend maturity,
price extension,
trend efficiency,
portfolio suitability,
and capital deployment opportunity.
The system is built around the principle that:
“A good stock is not always a good entry.”
MARS 4.0 distinguishes between:
early-stage developing trends,
mature structural leaders,
deteriorating trends,
repair/recovery phases,
and excessively extended momentum conditions.
This allows the framework to support:
portfolio construction,
risk management,
capital rotation,
watchlist prioritisation,
and discretionary decision-making.
Core Components
Trend Structure Engine
The script evaluates:
fast trend alignment,
slow structural trend alignment,
moving average relationships,
persistence of trend behaviour,
and pullback integrity.
This creates a dynamic classification of market state.
Trend Maturity Analysis
MARS 4.0 measures how developed a trend has become.
Early trends may offer:
better asymmetry,
lower extension risk,
and stronger future upside potential.
Mature trends may still be strong holdings but require:
reduced aggression,
tighter risk control,
and careful position sizing.
Extension & Risk Framework
The system measures extension using ATR-based distance from equilibrium.
This helps identify:
chase-risk conditions,
exhaustion phases,
elevated volatility risk,
and poor reward-to-risk entries.
Rather than blindly rewarding strength, MARS evaluates whether:
the move is still investable,
or already overcrowded and statistically stretched.
Portfolio Classification System
The framework classifies securities into operational portfolio states such as:
Core Hold
Hold / Wait
Watchlist / Repair
Reduce Aggression
Avoid / No Action
This converts technical structure into practical portfolio guidance.
MARS 4.0 Scanner Engine
MARS 4.0 introduces hidden quantitative outputs that allow the framework to operate as a ranking and scanning engine.
MARS4 Alpha Score
A composite quality score combining:
regime strength,
maturity,
efficiency,
opportunity quality,
and extension risk.
Higher scores indicate stronger deployable trend quality.
MARS4 Scan State
A simplified operational state model:
State Meaning
0 Neutral
1 Watchlist / Repair
2 Fresh Money OK
3 Early Trend
4 Core Hold
5 Reduce / Avoid
This enables:
portfolio triage,
systematic scanning,
and capital allocation workflows.
Intended Use
MARS 4.0 is designed for:
swing traders,
trend-following investors,
discretionary portfolio managers,
and long-term equity trend analysis.
The framework is particularly effective for:
weekly timeframe analysis,
portfolio rotation,
and identifying institutional-quality trend behaviour.
Design Philosophy
MARS 4.0 prioritises:
clarity over complexity,
structure over prediction,
and risk-adjusted opportunity rather than pure momentum.
The system intentionally avoids excessive indicator stacking and instead focuses on refining:
trend behaviour,
market structure,
extension dynamics,
and portfolio context.
The objective is not to predict markets, but to:
systematically identify where risk/reward conditions are most favourable across the trend lifecycle. Indikator
Indikator
Strategie
Strategie
Indikator
Concord Execution Mandate [JOAT]Concord Execution Mandate
Introduction
Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger.
The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls.
Core Concepts
1. Regime And Context Layer
The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution.
2. Structural And Rotation Triggers
Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA.
3. Soft Alignment Model
Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting.
4. Risk Management
Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially.
Features
Adaptive regime filter: Core state engine for directional context
Higher-timeframe bias: Optional EMA-based external direction filter
Structure triggers: Confirmed BOS logic using stored pivots
Continuation and rotation entries: Additional execution paths beyond BOS
Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring
Reversion reclaim logic: Optional re-entry through a mean basis before entry
Divergence safety filter: Optional block on fresh opposing divergence
ATR and structure-based stops: Dynamic risk anchoring
Reward targets and ATR trailing: Structured exit management
Context-flip exits: Early closure when regime or bias reverses
Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties
Default Strategy Properties
Initial capital: 100000
Default order size: 5 percent of equity
Commission: 0.02 percent
Slippage: 2 ticks
Order processing: on bar close
Pyramiding: 0
How to Use This Strategy
Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed.
Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample.
Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested.
Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results.
Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment.
Strategy Limitations
This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals
More aggressive settings can increase trade count at the cost of lower selectivity
Higher-timeframe bias can conflict with local execution context during turning points
Backtest results depend on symbol, timeframe, session behavior, and execution assumptions
This strategy is designed to be realistic, not optimized for one narrow market condition
Originality Statement
Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management.
-Made with passion by jackofalltrades
Strategie
Mean Deviation Trail | Lyro RSIntroduction:
The Mean Deviation Trail (MDT) is an adaptive trend-following overlay that pairs Mean Absolute Deviation (MAD) volatility normalization with a signed, smoothed deviation signal to produce a dynamic, self-adjusting trail. Instead of relying on a fixed-width channel, MDT continuously measures how far — and in which direction — price departs from its mean, then modulates the trail width in real time. The outcome is a trail that tightens during strong directional regimes and widens during low-momentum or choppy phases.
How It Works
Deviation Engine — All calculations are anchored to an EMA of the source. From this anchor, the signed normalized deviation is computed:
Deviation Raw = (Price − EMA) / MAD
This captures both the direction and the relative magnitude of price displacement. A user-selectable smoothing MA (16 types) is then applied to filter noise from the raw signal.
MAD Volatility Normalizer — Mean Absolute Deviation is calculated across a rolling lookback:
MAD = Σ |Price − EMA| / Length
Unlike standard deviation, MAD is not inflated by squared error terms, making it more resistant to outlier spikes and producing a smoother volatility anchor.
Adaptive Trail Width — The smoothed deviation signal is scaled against its 80-bar peak to produce sigNorm (a value between 0 and 1). This drives the multiplier between two user-defined extremes:
Strong deviation → multiplier approaches the Tight value → trail hugs price.
Weak deviation → multiplier approaches the Wide value → trail drifts away.
Multiplier = Wide − sigNorm × (Wide − Tight)
Bandwidth = MAD × Multiplier
Trail & Outer Band — The trail sits below price in uptrends and above price in downtrends, offset from the EMA by the adaptive bandwidth. An optional outer band plots at half-bandwidth on the opposite side, useful as a soft confirmation level.
Trend State — Trend flips when the smoothed deviation crosses zero. Each flip prints a Long or Short label and resets the trail on the opposite side of price.
Key Features
16 Smoothing MA Types — SMA, EMA, WMA, VWMA, DEMA, TEMA, RMA, HMA, LSMA, SMMA, ALMA, ZLSMA, FRAMA, KAMA, JMA, T3.
Adaptive Trail Width — Tight in high-deviation regimes, wide when momentum decays.
Optional Outer Band — A half-width band on the opposite side for additional context.
Gradient & Trend Color Modes — Gradient scales color intensity with deviation strength; Trend applies flat directional coloring.
Colored Candles & Bar Color — Full chart integration with signal-aware candle coloring.
Long / Short Signal Labels — Printed at trend crossovers with 𝓛𝓸𝓷𝓰 / 𝓢𝓱𝓸𝓻𝓽 labels.
Color Palettes — Classic, Mystic, Accented, Royal, or fully custom.
Status Table — Displays live Trend direction and Strength (Weak / Moderate / Strong).
Alerts — Confirmed Bullish and Bearish alert conditions included.
Signal Interpretation
A Long signal (𝓛𝓸𝓷𝓰 label, below bar) fires when the smoothed deviation crosses above zero — price is pulling away from the mean to the upside and the trail flips below price.
A Short signal (𝓢𝓱𝓸𝓻𝓽 label, above bar) fires when the smoothed deviation crosses below zero — price is pulling away from the mean to the downside and the trail flips above price.
Strength = Strong indicates the deviation signal is near its recent peak — trend is mature and the trail is tight. Weak indicates a fading or compressing regime — the trail loosens, and continuation should be treated with more caution.
Recommended Settings
Long-Term Investing: 1D, MA Length 40, Smoothing 20, MAD 14
Swing Trading: 4h, default settings
Intraday Trading: 15m, MA Length 20, Smoothing 9, MAD 7, Tight 0.4, Wide 1.8
⚠️ Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance is not indicative of future results. Always combine with price action, proper risk management, and additional analysis. Indikator
Indikator
Indikator
Indikator
Options Analysis Ticker Setup Map1/12
Top watches for 5/13.
This board is very different than last night.
Market is sitting on a key gamma decision after CPI. SPY $736 is the line I care about. Above it, dips can get bought back toward $742/$745. Below it, things can open up fast toward $735/$730.
Calls and puts are both live.
2/12
NASDAQ:FCEL
Best momentum setup on the board, but also the easiest one to chase badly.
Flow was extremely call heavy, with repeated Jun 26 $19C sweeps and high SigScore prints.
I’m not touching a vertical open.
Want either a pullback toward $17.50 to $18.20 or a clean hold after the first 5 min.
Target zone is $20, then $22 to $25 if momentum keeps feeding.
3/12
NASDAQ:DKNG
This one is cleaner than people will think because the flow kept showing up in the same area.
The focus is the Aug 21 $30C.
Not a random one-off print. It looked like systematic accumulation.
Setup is simple enough: hold $24.50/$25 and let it work.
Targets are $27 first, then $30 if the flow is right.
4/12
NYSE:GS
One of the better large-cap names because it actually held up on a red CPI day.
That matters.
Flow was focused higher, especially around the $950 to $1,000 area.
I like this only if it holds the $945/$950 area.
First target $960. Bigger stretch is $985/$1,000.
Not interested if it loses $930.
5/12
NYSE:BA
Defense/industrial strength is still showing up.
BA held well relative to the market and the call flow was aimed at $245/$250.
The $250 area is the magnet.
Best setup is a dip toward $236 to $239 that buyers defend.
$245 first target.
$250 second target.
Below $230, the setup is off.
6/12
NASDAQ:TSLA
Inside close setup.
Not pretending this is clean by default. It needs resolution.
The upside case is built around $435/$440 and then $450 if it gets momentum.
Watching May 15 $440C.
Above $435, it can move fast.
Below $425, I do not want the long side.
This one needs market confirmation.
7/12
AMEX:SOXL
High risk, high beta, but the flow was interesting.
The key is $170.
If $170 holds, the Jun 5 $175C setup is live for a bounce toward $180, then $185 plus.
If $170 fails, I’m not trying to be early.
This is one where waiting 15 minutes probably saves money.
8/12
NASDAQ:MARA
This is basically a BTC trigger trade.
If Bitcoin clears the $82K area, MARA can get very live.
Watching May 22 $13C.
Entry zone is $12.60 to $13.00.
Targets are $13.50, then $14/$15 if BTC confirms.
Below $11.50, no interest.
9/12
NASDAQ:LRCX
Semis pulled back, but LRCX still has the better structure versus a lot of the group.
Flow had late-day call interest, including longer-dated upside.
The clean trade is a reclaim/hold near $286 to $290.
Watching May 22 $295C.
Targets $300, then $310.
Below $280, pass.
10/12
NASDAQ:MU
This is the main put setup.
Not shorting a gap-down into the hole.
The trade is a bounce-fade.
Watching May 22 $750P if MU bounces into $750/$755 and rejects.
Targets are $735, then $720/$710.
Above $775, the put setup is invalid.
11/12
NYSE:SNOW
Inside close setup.
This is more conditional than the top names.
Needs to hold $148 and reclaim/hold $151.50 to $153.
Watching May 15 $155C for aggressive exposure.
First target $155.
Then $160 to $165 if it actually expands.
No chop trade.
12/12
My actual priority for 5/13:
1. NASDAQ:FCEL only after open confirms
2. NASDAQ:DKNG $30C continuation
3. NYSE:GS relative strength
4. NYSE:BA dip-hold into $245/$250
5. NASDAQ:TSLA above $435
6. AMEX:SOXL only if $170 holds
7. NASDAQ:MARA only if BTC confirms
8. NASDAQ:LRCX semi reclaim
9. NASDAQ:MU puts on bounce rejection
10. NYSE:SNOW only above $151.50/$153
No open chase.
Levels first.
Contract second.
Indikator
Indikator
1M Scalping StrategyThis script is an educational Heikin Ashi and EMA study designed to help traders observe pullback/doji conditions and EMA reclaim behavior.
The script uses Heikin Ashi candle data together with a configurable EMA, defaulted to 100. It is designed mainly for short-term chart review and backtesting, especially on lower timeframes such as the 1-minute chart.
There are two main study conditions included:
1. HA Pullback Watch
The pullback watch condition looks for price location relative to the EMA and a specific Heikin Ashi candle sequence.
For a bullish pullback watch, the script looks for:
- Heikin Ashi price above the EMA
- Two red Heikin Ashi pullback candles
- The pullback candles having little to no upper wick
- A green doji-style Heikin Ashi candle forming after the pullback
For a bearish pullback watch, the script looks for:
- Heikin Ashi price below the EMA
- Two green Heikin Ashi pullback candles
- The pullback candles having little to no lower wick
- A red doji-style Heikin Ashi candle forming after the pullback
These conditions are marked as watch or confirmed conditions depending on whether the candle is still forming or has closed.
2. EMA Reclaim Watch
The EMA reclaim portion of the script looks for price moving from one side of the EMA to the other.
A bullish EMA reclaim condition happens when Heikin Ashi price was recently below the EMA, then pushes back above the EMA with a stronger green candle near the EMA area.
A bearish EMA reclaim condition happens when Heikin Ashi price was recently above the EMA, then pushes back below the EMA with a stronger red candle near the EMA area.
The script includes optional settings for:
- EMA length
- Doji body percentage
- Wick tolerance
- Strong candle body percentage
- EMA reclaim lookback
- EMA touch tolerance
- Volume filter
- Showing or hiding different study markers
The chart markers are intended to help users study possible pullback and EMA reclaim behavior. They are not financial advice, trade recommendations, or guaranteed buy/sell signals. Because the script uses Heikin Ashi data, users should be aware that Heikin Ashi candles are calculated candles and may not represent actual traded prices.
This script should be used for educational study, manual review, and backtesting only. Users should apply their own analysis, risk management, and confirmation before making any trading decisions. Indikator
