Take America Back Version 1.0So basically, the when the price goes down a little, it buys, and when it goes up a little it buys. The only indicators are account balances, and the price, that’s it. Now I wish that Pine Script had a function or variable in which I could recall the balances of specific portions of the portfolio, but it doesn’t. So, I had to improvise. Now for this to work accurately, all of the money needs to be in the “base” side before the bot can begin. Now, the thing about this is that it does not re-invest the amount that is “saved” to all but guarantee the balance will go up. However, as this goes up it will not add up as quickly in order to allow more wiggle room so that the bot does not work itself into a corner. If you want to keep some of your base, enter how much you want to keep it in the initial “saved” setting, as long as you allow at least enough to be equal to the default quantity value. Also, I recommend you setting the pyramiding setting to the result of the base value divided by the default quantity value. The default quantity value is how much you invest, measured in the base currency.
This would have been sooooo much easier if pine script could allow me to recall specific balances, but maybe a future one will.
Finally, THIS is why I made this program, I wanted to create something that would prevent the little ones from being stepped on by the big players who don't always play fair.
Besides, cryptocurrencies were made in response to the 2008 financial meltdown that caused a global recession. This decentralized currency is not just the money of the banks, the corporations, or the governments, but the money of the people. Use this tool to level the massive wealth inequality in my country and take America Back.
I will post more links and updates later once my reputation score goes up. I will discuss more about what influenced me to make this program and as some advise and possible future improvements as well.
在腳本中搜尋"bot"
Technicals Rating Strategy v420Ichimoku, HMA, RSI, Stoch, CCI, MACD, Technicals Rating Strategy is a trading Bot that looks at these chosen indicators and assigns a value to each, then calculates the result of adding each indicators result value to a overall rating, which is then compared to a user set level. Here seen on Bitcoin, it has the broker fee included in the testing result. If you choose to use it on Forex etc, perhaps remove the broker fee which is unrealistic for FX trading.
It has a Win/Loss ratio of only 40% wins, but it catches the big moves and thats the main thing, so if ELON MUSK had of used this strategy instead of BUY and HOLD, he could of made 700% instead of 7% (as is, may, 2021)
Mainly intended for use as Automated TRADE BOT.
(imagine if Elon Musk did use this bot with his 1.3 billion $ worth of BTC, the drawdown would be like, half a billion or something haha (p.s.- use smaller lotsize % to get smaller drawdown, but then smaller profit....) )
For use with any pair and timeframe. In fact there is a timeframe setting to set the strategy to look at alternative timeframe from chart, but as default will just be set to charts timeframe.
Multiple Timeframe Fib Bollinger Bands - can be used for 3commas*** This idea is based on Bollingers Bands Fibonacci ratios by Shizaru ()
** This will look less chaotic if you don't have all four time frames on at once! I left them on for the demo picture just to show them all simultaneously working.
This is the basis for most of my bot ideas - indicators from longer chart time frames laid over short time frame charts. What I mean by this is that I like the responsiveness of a 1m chart but indicators from a 1h or 4h chart. There are obviously downsides to doing this or everyone would do it, but I have consistently gotten top results using this method. This is a study, so not a strategy yet but you can use this with 3commas if you convert it to a strategy using band crossover/under points as buy and sell triggers.
That is super easy; just follow this excellent guide here which should work for this script:
kodify.net
It's not super hard if you know a little Pine but if you need help hit me up and we can figure something out.
This script by default has 15m, 30m, 1h and 4h settings that are configurable via the gear icon. You can enable or disable any time frame, change the color, etc. I will probably add accurate line labels, custom time frames and adjustable transparency soon.
It's advisable to use higher time frame indicator on a lower time frame chart, but not the other way around. I would use these indicators on a 1m chart but not a 1d chart, for example.
Have fun and I hope you get some use out of this! I use it for context more than bots but it is definitely possible to use it with both.
M4x FIB-o-matic V3.6M4x is a combination of RSI and Fibonacci components, set up with fixed values, so no worries about "original" settings...
Recommendet Bot settings:
- use one short and one long bot
- take profit 0.5%
- 6 simul trades
- 3 security orders, VolScale 1.5, StepScale 1.4
- Deviation 0.35%
- cooldown 780sec
Alerts:
- aproved Buy
- aproved Sell
- heartbeat (..check if Script is running. Gives you the possibility to get an alive Signal every minute)
(With a few "input" M4x can be changed into a highly configurable Signal Generator with menus.)
...tested successful with BTC-ETH, gl ;-)
LUBEThis is a chart meant for 30m BTCUSD but could be used for many other assets, and there are inputs to play with.
I decided on the strange title "LUBE" because I was measuring how many of the previous 500 bars had the current price level already been in. I wanted to discover when the price was in a new zone or an area that it hadn't spent much time in recently... the LUBE zone.
Think of the blue line as showing you the current level friction. If the blue line is high, price is quagmired and not moving quickly. Price could trend sideways for a while before breaking out. A high blue line is a high traffic zone for trading. When the blue line dips low, it's encountering a price zone the asset has not been observed in recently, and this could mean price could break out and move more freely and quickly when it does. We get a trade entry signal if the blue line dips below the bottom white line. The bottom white line is currently set to -10. Think about the lowest the blue line has been recently as 0, and the highest as 100. It is set by default (for BTCUSD 30m chart) to -10 meaning the blue line has to dip a little (-10%) below the lowest it has experienced recently to initiate a trade. This is the LUBE zone. The bottom white line shows that level. Again this is a level lower than the lowest amount of friction experienced in price action for the last 100 bars, but offset by 5 bars showing where that level was at 5 bars ago. We want to dip below that to initiate a trade.
The direction to trade in is determined by a very quick moving weighted moving average (variable name is "fir") to see if the recent trend is up or down. To end a trade, an arbitrary number between 0 and 100 is picked telling us when we are experiencing enough friction again to end the trade. I have it preset to 50 (think of it as 50/100 or half way between the white bars. At a 50% friction level it's time to get out of the trade.
Some shortcomings are missing the bulk of big moves, and experiencing whipsaws where price action zips up and then comes straight back down. Overall the backtest looks sweet enough to use on 2x leverage, experiencing a 17.78% max drawdown at the time of publishing. I wouldn't push the leverage any higher.
To get alerts change the word "strategy" to "study" and delete lines 60-67.
Bot traders using alerts: beware the alert conditions. If a trade goes directly from long to short (which happens rarely), without closing a trade first, it might not act properly. If you use bots to trade, for "LONG" please close any old trades first before putting in instructions to open a leveraged long. To go "SHORT" please remember to close any old trade first as well, and things *should* work out just fine.
Good luck, have fun, and feel free to mess up and butcher this code to your own liking. I'm not responsible if anything bad that happens to you if you use this trading system, or for any bugs you may encounter.
CBMA Bollinger Bands Strategy directed [ChuckBanger]I just did a Bollinger Bands script with my newly CB moving average
While I'm generally against posting strategies because it's very easy to fake performance numbers... This is just to share a cool strategy snippet. My settings are 10 contracts/order with pyramiding set to 10. You can make the profitability a lot higher if you set the order size higher. But that dosent help you getting more out of this script when u make a bot of this script. I set the order size to 10 contracts to get your attention not to showcase the performance.
When the price is going down and outside of the lower side of the band. And when the price comes back into the channel the strategy buys. Usually that means the price is going up. And when the price is going up and outside of the upper band. The strategy sells when it crosses back in to the channel.
It is a very simple strategy but it is effective. I guess you need a proper stop-loss for this script to bee really profitable in a bot environment.
3 HULLs & ICHIMOKU divided by PRICEBasically just another form of moving average, for quick swings, built for testing/use with API cryptobots, simple switch from buy to sell.
Hull MA(2 candles back) times 3 plus Ichimoku divided by price(1 candle back) = value1
Hull MA(3 candles back) times 3 plus Ichimoku divided by price(1 candle back) = value2
if value1>value2 then buy else sell
calculates price from 1 candle back, and calculates signal from 2nd and 3rd candle prices, so no repainting? so best on low timeframes.
for when use in bot, would not need 1 candle lag. Lag is for TV chartists to not have to suffer repainting.
Bots do not repaint. they are not "painting" anything, they simply open or close orders, which cannot be "repainted"
but here on TV chart, when you refresh the browser page, the script recalculates, and signals may be repainted.
hopefully this will not repaint. please test. thankyou
PT Magic Triggers So its me again. I have decided to create Trend Trigger Script for PT Magic addon for a trading bot Profit Trailer. If you do not own this bot and Addon the following explanation will not help you.
For each Trend you define number of minutes and it then calculates the percentage change between the close price now and X candles before.
Same calculation is for all 6 Triggers i beleive that is all you need :)
Hope it helps you all.
LTC: LYHj4WDN7BPu5294cSpqK3SgWSWdDX56Qt
BTC: 1NPVzeDSsenaCS9QdPro877hkMk93nRLcD
MACD, backtest 2015+ only, cut in half and doubledThis is only a slight modification to the existing "MACD Strategy" strategy plugin!
found the default MACD strategy to be lacking, although impressive for its simplicity. I added "year>2014" to the IF buy/sell conditions so it will only backtest from 2015 and beyond ** .
I also had a problem with the standard MACD trading late, per se. To that end I modified the inputs for fast/slow/signal to double. Example: my defaults are 10, 21, 10 so I put 20, 42, 20 in. This has the effect of making a 30min interval the same as 1 hour at 10,21,10. So if you want to backtest at 4hr, you would set your time interval to 2hr on the main chart. This is a handy way to make shorter time periods more useful even regardless of strategy/testing, since you can view 15min with alot less noise but a better response.
Used on BTCCNY OKcoin, with the chart set at 45 min (so really 90min in the strategy) this gave me a percent profitable of 42% and a profit factor of 1.998 on 189 trades.
Personally, I like to set the length/signals to 30,63,30. Meaning you need to triple the time, it allows for much better use of shorter time periods and the backtests are remarkably profitable. (i.e. 15min chart view = 45min on script, 30min= 1.5hr on script)
** If you want more specific time periods you need to try plugging in different bar values: replace "year" with "n" and "2014" with "5500". The bars are based on unix time I believe so you will need to play around with the number for n, with n being the numbers of bars.
Bitcoin Multibook v1.0 [Apollo Algo]Bitcoin Multibook v1.0 by Apollo Algo is an advanced market depth and order flow visualization tool that brings professional-grade multi-exchange order book analysis to TradingView. Inspired by Bookmap's multibook functionality and built upon LucF's original single "Tape" indicator concept, this tool aggregates real-time trading data from multiple Bitcoin exchanges into a unified tape display.
Credits & Attribution
This indicator is an evolution of the original "Tape" indicator created by LucF (TradingView: @LucF). The multibook enhancement and Bitcoin-specific optimizations were developed by Apollo Algo to provide traders with institutional-grade market microstructure visibility across major Bitcoin trading venues.
Purpose & Philosophy
Bitcoin leads the entire cryptocurrency market. By monitoring order flow across the primary Bitcoin exchanges simultaneously, traders gain crucial insights into:
Cross-exchange arbitrage opportunities
Institutional order flow patterns
Market maker positioning
True market sentiment beyond single-exchange data
Key Features
📊 Multi-Exchange Data Aggregation
Real-time tape from 3 major exchanges:
Binance (BTCUSDT)
Coinbase (BTCUSD)
Kraken (BTCUSD)
Customizable source inputs for any trading pair
Synchronized price and volume tracking
Exchange name identification in tape display
📈 Advanced Tape Display
Dynamic tape visualization with configurable line quantity (0-50 lines)
Directional flow indicators (＋/－ symbols for price changes)
Exchange identification for each trade
Volume precision control (0-16 decimal places)
Flexible positioning (9 screen positions available)
Real-time only operation for accurate order flow
🎯 Volume Delta Analysis
Real-time cumulative volume delta calculation
Divergence detection (price vs. volume direction)
Colored visual feedback for market sentiment
Total session delta displayed in footer
Cross-exchange delta aggregation
🚨 Smart Alert System
Marker 1: Volume Delta Bumps (⬆⬇)
Triggers on consecutive volume delta increases
Identifies momentum acceleration points
Filters out divergent movements
Marker 2: Volume Delta Thresholds (⇑⇓)
Fires when delta exceeds user-defined thresholds
Catches significant order imbalances
Excludes divergence conditions
Marker 3: Large Volume Detection (⤊⤋)
Highlights unusually large individual trades
Spots potential institutional activity
Direction-specific triggers
Configure Data Sources
Adjust exchange pairs if needed (e.g., for altcoin analysis)
Leave blank to disable specific exchanges
Use format: EXCHANGE:SYMBOL
Customize Display
Set tape line quantity based on screen size
Position the table for optimal visibility
Choose color scheme (text or background)
Adjust text size for readability
Configure Alerts
Enable desired markers (1, 2, or 3)
Set volume thresholds appropriate for your timeframe
Choose direction (Longs, Shorts, or Both)
Create TradingView alerts on marker signals
Trading Applications
Scalping (1-5 min)
Monitor tape speed for momentum shifts
Watch for cross-exchange divergences
Track large volume clusters
Use Marker 1 for quick momentum trades
Day Trading (5-60 min)
Identify accumulation/distribution phases
Spot institutional positioning
Confirm breakout validity with volume delta
Use Marker 2 for significant imbalances
Swing Trading (1H+)
Analyze volume delta trends
Detect smart money rotation
Time entries with order flow confirmation
Use Marker 3 for institutional footprints
Advanced Techniques
Cross-Exchange Arbitrage Detection
When price disparities appear between exchanges:
Immediate Opportunity: Price differences > 0.1%
Bot Activity: Rapid convergence patterns
Liquidity Vacuum: One exchange leading others
Divergence Trading Strategies
Volume delta diverging from price direction:
Absorption: Strong hands entering (price down, delta up)
Distribution: Smart money exiting (price up, delta down)
Reversal Setup: Sustained divergence over multiple bars
Institutional Footprint Recognition
Large volume characteristics:
Simultaneous Spikes: Same timestamp across exchanges
TWAP Patterns: Consistent volume over time
Iceberg Orders: Repeated same-size trades
Pine Script v6 Enhancements
Type Safety Improvements
Strict boolean type handling
Explicit type declarations
Enhanced error checking
Performance Optimizations
Improved request.security() function
Better memory management with arrays
Optimized table rendering
Modern Syntax Updates
indicator() instead of study()
Namespaced math functions (math.round())
Typed input functions (input.int(), input.float())
Performance Considerations
System Requirements
Real-time Data: Essential for tape operation
Multiple Security Calls: May impact performance
Array Operations: Memory intensive with high line counts
Table Rendering: CPU usage increases with tape size
Optimization Tips
Reduce tape lines for better performance
Increase volume filter to reduce noise
Disable unused markers
Use text-only coloring for faster rendering
Indicator ***TuYa*** V8.2 – HH/HL MTF + Peak Mid ZoneIndicator TuYa V8.0 – HH/HL MTF + Peak Mid Zone
TuYa V8.0 combines multi-timeframe market structure with a Peak Reaction midline to create clean, rule-based reversal and trend entries – designed primarily for 1-minute execution with 1-hour bias.
🧠 Core Concept
This indicator fuses three ideas:
HTF Peak Reaction Midline (1H)
Uses a Peak Reaction style logic on the higher timeframe (HTF, default: 1H).
Identifies a reaction high and reaction low, then calculates their midpoint → the Peak Mid Zone.
This midline acts as a dynamic sentiment divider (above = premium / below = discount).
Multi-Timeframe HH/HL/LH/LL Structure
HTF structure (1H): detects HH, HL, LH, LL using pivot highs/lows.
LTF structure (1m): detects HH, HL, LH, LL on the execution timeframe (chart TF, intended for 1m).
HTF → LTF Confirmation Window
After a 1H structure event (HH, HL, LL, LH), the indicator opens a confirmation window of up to N LTF candles (default: 10 x 1m bars).
Within that window, the required 1m structure event must occur to confirm an entry.
🎯 Signal Logic
All entries are generated on the LTF (e.g. 1m chart), using HTF (e.g. 1H) bias + Peak Mid Zone:
1️⃣ Price ABOVE Peak Mid (Bullish premium zone)
Reversal SELL
HTF: HH (Higher High)
Within N 1m bars: LTF HH
→ SELL signal (fading HTF strength near premium)
Trend/Bullish BUY
HTF: HL (Higher Low)
Within N 1m bars: LTF LL
→ BUY signal (buying dips in an uptrend above midline)
2️⃣ Price BELOW Peak Mid (Bearish discount zone)
Reversal BUY
HTF: LL (Lower Low)
Within N 1m bars: LTF LL
→ BUY signal (catching potential reversal from discount)
Trend/Bearish SELL
HTF: LH (Lower High)
Within N 1m bars: LTF HH
→ SELL signal (shorting strength in a downtrend below midline)
Signals are plotted as small BUY/SELL triangles on the chart and exposed via alert conditions.
🧾 Filters & Options
⏳ HTF → LTF Delay Window
Input: “Max 1m bars after HTF trigger” (default: 10)
After a 1H HH/HL/LL/LH event, the indicator waits up to N LTF candles for the matching 1m structure pattern.
If no match occurs within the window, no signal is generated.
📉 RSI No-Trade Zone (HTF)
Toggle: Use RSI no-trade zone
Inputs:
RSI Length (HTF)
No-trade lower bound (default 45)
No-trade upper bound (default 65)
If HTF RSI is inside the defined band (e.g. 45–65), signals are blocked (no-trade regime), helping to avoid noisy mid-range conditions.
You can turn this filter ON/OFF and adjust the band dynamically.
🧱 5m OB / Direction Filter (Optional)
Toggle: Use 5m OB direction filter
Timeframe: Configurable (default: 5m).
Uses a simple directional proxy on the OB timeframe:
For BUY signals → require a bullish candle on OB timeframe.
For SELL signals → require a bearish candle on OB timeframe.
When enabled, this adds an extra layer of confluence by aligning entries with the short-term directional context.
⚙️ Key Inputs (Summary)
Timeframes
HTF (Peak Reaction & Structure): default 60 (1H)
Peak Reaction
Lookback bars (HTF)
ATR multiplier for zones
Show/Hide Peak Mid line
Structure
Pivot left/right bars (for HH/HL/LH/LL swings)
Toggle structure labels (HTF & LTF)
Confirmation
Max LTF bars after HTF trigger (default 10, fully configurable)
RSI Filter
Use filter (on/off)
RSI length
No-trade range (low/high)
5m OB Filter
Use filter (on/off)
OB timeframe (default 5m)
📡 Alerts & Automation
The script includes alertconditions for both BUY and SELL signals, with JSON-formatted alert messages suitable for routing to external bridges (e.g. bots, MT5/MT4, n8n, etc.).
Each alert includes:
Symbol
Side (BUY / SELL)
Price / Entry
SL & TP placeholders (from hidden plots, ready to be wired to your own logic)
Time
Performance tag
CommentCode (for strategy/type tagging on the receiver side)
You can attach these alerts to a webhook and let your execution engine handle SL/TP and order management.
📌 How to Use
Attach the indicator to a 1-minute chart.
Set HTF timeframe to 60 (or your preferred higher timeframe).
Optionally enable:
RSI regime filter
5m OB direction filter
Watch for:
Price relative to the Peak Mid line
BUY/SELL triangles that respect HTF structure + LTF confirmation + filters.
For automation, create alerts using the built-in conditions and your preferred JSON alert template.
⚠️ Disclaimer
This tool is for educational and informational purposes only.
It is not financial advice and does not guarantee profits. Always test thoroughly in replay / paper trading before using with live funds, and trade at your own risk.
specific breakout FiFTOStrategy Description: 10:14 Breakout Only
Overview This is a time-based intraday trading strategy designed to capture momentum bursts that occur specifically after the 10:14 AM candle closes. It operates on the logic that if price breaks the high of this specific candle within a short window, a trend continuation is likely.
Core Logic & Rules
The Setup Candle (10:14 AM)
The strategy waits specifically for the minute candle at 10:14 to complete.
Once this candle closes, the strategy records its High price.
Defining the Entry Level
It calculates a trigger price by taking the 10:14 High and adding a user-defined Buffer (e.g., +1 point).
Formula: Entry Level = 10:14 High + Buffer
The "Active Window" (Expiry)
The trade setup does not remain open all day. It has a strict time limit.
By default, the setup is valid from 10:15 to 10:20.
If the price does not break the Entry Level by the expiry time (default 10:20), the setup is cancelled and no trade is taken for the day.
Entry Trigger
If a candle closes above the Entry Level while the window is open, a Long (Buy) position is opened immediately.
Exits (Risk Management)
Stop Loss: A fixed number of points below the entry price.
Target: A fixed number of points above the entry price.
Visual & Automation Features
Visual Boxes: Upon entry, the strategy draws a "Long Position" style visual on the chart. A green box highlights the profit zone, and a red box highlights the loss zone. These boxes extend automatically until the trade closes.
JSON Alerts: The strategy is pre-configured to send data-rich alerts for automation (e.g., Telegram bots).
Entry Alert: Includes Symbol, Entry Price, SL, and TP.
Exit Alerts: Specific messages for "Target Hit" or "SL Hit".
Summary of User Inputs
Entry Buffer: Extra points added to the high to filter false breaks.
Fixed Stop Loss: Risk per trade in points.
Fixed Target: Reward per trade in points.
Expiry Minute: The minute (10:xx) at which the setup becomes invalid if not triggered.
🟡 GOLD 4H HUD v8.9 — Loose ICT OB + Strong/Weak + FVG/HVN/LVNGOLD 4H HUD v8.9 is a clean, structured Smart Money Concepts (SMC)–based analysis tool designed exclusively for XAUUSD on the 4-hour timeframe.
It focuses on the three most important elements for institutional orderflow analysis:
✔ Loose ICT Order Blocks (Demand/Supply)
✔ Fair Value Gaps (FVG)
✔ Volume Profile Zones (HVN/LVN/POC)
The script builds a professional-style HUD that displays the key institutional regions and structural levels that matter most for gold traders.
📌 Key Features
1 — Market Structure Engine (HH/HL & BOS)
The indicator detects:
Minor swing Highs and Lows
Last confirmed HH / HL levels
Break of Structure (BOS) for directional bias
EMA-200 trend filter (UP / DOWN / NEUTRAL)
This gives traders a clean structural read without clutter or noise.
2 — Loose FVG Engine (Tolerance-Based ICT Gaps)
A soft-threshold FVG engine detects “loose” Fair Value Gaps using a 0.1% price tolerance.
This method ensures:
Fewer missed imbalances
Cleaner OB/FVG alignment
Higher accuracy on 4H gold displacement legs
FVGs automatically shift to the right side of the chart for clean visualization.
3 — Order Block Engine (Demand/Supply + Strong/Weak Classification)
A simplified ICT-style OB engine scans the past few candles whenever BOS is detected.
It identifies:
Demand OB during bullish BOS
Supply OB during bearish BOS
Strong OB if fully nested inside an active FVG
Weak OB otherwise
OB boxes include:
Clear color coding (strong vs. weak)
Price range labels inside each box
Automatic right-shift for visual clarity
4 — Volume Profile Engine (POC / HVN / LVN / VAH / VAL)
Based on a rolling window (default 120 bars), the script builds a lightweight volume distribution.
It displays:
POC (Point of Control)
HVN (High Volume Node)
LVN (Low Volume Node)
Value Area High / Low
HVN/LVN zones are shown as right-shifted colored boxes with price labels.
These zones help identify:
Institutional accumulation
Low-liquidity rejection points
Areas where price tends to react strongly
5 — Support / Resistance Mapping
The script automatically generates:
OB-based support/resistance
Swing-high/swing-low levels
HVN/LVN structural levels
These are displayed in the HUD for fast reference.
6 — Professional HUD Panel
A compact, easy-to-read HUD summarizes:
Trend direction
Latest HH/HL
OB ranges (Strong/Weak)
HVN/LVN price zones
POC
Multi-layer support & resistance
This turns the script into a fully functional analysis dashboard.
📌 What This Indicator Is NOT
To avoid misunderstanding:
It does not take entries or generate buy/sell signals
It does not auto-detect CHOCH, MSS, SMT, or sweeps
It is not a trading bot
This tool is designed as an institutional-style map and analysis HUD, not a strategy.
📌 Best Use Case
This indicator is ideal for traders who want to:
Read institutional structure on XAUUSD
Identify clean Demand/Supply zones
Visualize FVG/OB/HVN interactions
Track high-value liquidity levels
Build directional bias on 4H before dropping to execution timeframes
⚠ Important Note
This tool is designed exclusively for the 4H timeframe.
Using it on lower timeframes will display a warning.
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades
Made with my Senior Level AI Pine Script v6 coding bot for the community!
Narrative Overview
Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart.
Purpose & Scope
OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual.
Core Analytical Pillars
1. Social Pulse Engine
Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default).
Volume Confirmation: Requires local volume > 30-bar average × `volSpikeMult` (default 2.0) before sentiment flags.
EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow.
Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts).
2. Peer Momentum Heatmap
Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default.
Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3.
Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space.
Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks.
3. Trend & Displacement Framework
Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture.
HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction.
Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids.
ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes.
4. Intelligent Fair Value Gap (FVG) System
Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 × ATR default).
Overlap Prevention: Price-range checks stop redundant boxes.
Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse.
Storage Caps: Max three FVGs per side unless the user widens the limit.
Session Awareness: Kill zone filters keep taps focused on London/NY if desired.
Auto Cleanup: Boxes delete when price closes beyond their invalidation level.
5. VWAP Magnet + Liquidity Raid Engine
Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences.
Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools.
Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps.
Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid.
6. Session Range Breakout System
Initial Balance Tracking: First N bars (15 default) define the session box.
Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum.
Z-Score Volume Filter: >1.5σ by default to filter noisy moves.
7. Lifestyle Liquidity Scanner
Volume Z-Scores: 50-bar baseline highlights statistically significant spikes.
Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation.
Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size.
8. Risk Matrix & Diagnostic HUD
HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references.
Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string.
Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5× default) keep risk transparent.
Signal Families & Alerts
Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with “SPS”.
Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels.
Local FVG: Captures local reversals when HTF bias has not flipped yet.
VWAP Raid: Equal-high/low raids that snap toward VWAP; “VWAP” label markers.
Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers.
Liquidity Spike: Z-score spikes ≥ threshold; square markers along the baseline.
Visual Design & Customization
Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255).
Stylized Candles: Optional overlay using theme colors.
Signal Toggles: Independently enable markers, heatmap, and diagnostics.
Label Spacing: Auto-spacing enforces ≥4-bar gaps to prevent text overlap.
Customization & Workflow Notes
Adjust ATR/FVG thresholds when volatility shifts.
Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise.
Reposition the HUD by editing the `table.new` coordinates.
Use multiples of the chart timeframe for HTF requests to minimize load.
Session inputs accept exchange-local time; align them to your market.
Performance & Compliance
Pure Pine v6: Single-line statements, no `lookahead_on`.
Resource Safe: Arrays trimmed, boxes limited, `request.security` cached.
Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic.
Runtime Safety: Arrays/loops guard against `na`.
Use Cases
Measure when social sentiment aligns with structure.
Plan ICT-style intraday rebalances around session-specific FVG taps.
Fade VWAP raids when displacement shows exhaustion.
Watch initial balance breaks backed by statistical volume.
Keep risk/target references anchored in ATR logic.
Signal Logic Snapshot
Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through.
Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`.
Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped.
VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`.
Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks.
Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows.
Session Logic & VWAP Handling
Kill zone + NY session inputs use TradingView’s session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true.
Session VWAP resets using cumulative price × volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant.
Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts.
Parameter Reference
Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`.
Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`.
Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`.
VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`.
FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`.
Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`.
Workflow Recipes
Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUD’s risk readout to confirm SL/TP distances before entering.
VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions.
Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price.
Liquidity Spike Review: When the HUD shows “Liquidity” timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after.
Metadata
Author: officialjackofalltrades
Platform: TradingView (Pine Script v6)
Category: Sentiment + Liquidity Intelligence
Hope you Enjoy!
Grok/Claude AI Neural Fusion Pro V2AI Neural Fusion Pro V2 - New Features
Overview
Version 2 of AI Neural Fusion Pro introduces two complementary protection systems designed to preserve capital during market extremes. The first prevents over-buying during violent crashes. The second prevents over-selling during powerful rallies. Together, they transform a reactive trading system into one that adapts intelligently to market conditions.
Feature 1: Cascade Protection
Purpose
Cascade Protection prevents capital destruction during violent market crashes by implementing two independent safeguards that must both pass before any buy signal can fire.
The Problem It Solves
During market crashes, several dangerous conditions occur simultaneously. Volatility spikes to extreme levels, indicators scream "oversold," and each dip looks like the bottom. Traditional systems fire buy after buy, depleting capital reserves while price continues falling. By the time the actual bottom forms, there's no capital left to capture it.
How It Works
Layer 1: BBWP Freeze
Bollinger Band Width Percentile measures current volatility relative to historical volatility. When BBWP exceeds 92%, it indicates the market is experiencing abnormal volatility—typically during liquidation cascades or panic selling. During these periods, all buy signals are frozen regardless of how oversold conditions appear. This is an absolute freeze with no exceptions.
Layer 2: Consecutive Buy Counter
This layer limits the maximum number of buy orders that can execute without an intervening sell. The default limit is 3 consecutive buys. Once reached, additional buy signals are blocked until a sell signal fires and resets the counter. This prevents the common scenario where a bot keeps averaging down position after position during an extended decline.
Configuration
SettingDefaultDescriptionEnable Cascade ProtectionONMaster toggle for entire featureBBWP Length7Period for Bollinger Band calculationBBWP Lookback100Historical period for percentile rankingBBWP Freeze Level92%Threshold above which buys freezeMax Consecutive Buys3Maximum buys before forced pause
Panel Display
The info panel shows real-time protection status with color-coded feedback:
BBWP row: Shows current percentage and status (OK in green, FROZEN in red)
Buy Counter row: Shows current count versus maximum (green when available, orange approaching limit, red when blocked)
Key Behavior
Sell signals are never affected by cascade protection
The buy counter resets to zero after any sell signal fires
BBWP freeze is absolute—even extreme oversold conditions cannot bypass it
Feature 2: Dynamic Cooldown
Purpose
Dynamic Cooldown prevents over-selling during powerful rallies by automatically extending the minimum time between signals when the market enters a strong trend.
The Problem It Solves
During strong rallies, traditional indicators repeatedly hit overbought conditions, triggering sell after sell as price climbs. A trader might execute 10-15 sells during a sustained move from $86K to $93K, selling away their position piece by piece instead of letting profits run. Each sell captures a small gain while missing the larger move.
How It Works
The system monitors ADX (Average Directional Index) to detect trend strength. When ADX exceeds 50 and is rising, the market has entered a powerful trending phase. During these conditions, the cooldown period between signals automatically increases from 5 bars to 10 bars.
This means signals fire less frequently during strong trends, allowing positions more time to develop before the next potential exit. The extended cooldown applies equally to both buy and sell signals, though the primary benefit is reducing premature sells during rallies.
Normal Market (ADX < 50 or falling):
Cooldown = 5 bars (25 minutes on 5-minute chart)
Standard signal frequency
Strong Trend (ADX > 50 and rising):
Cooldown = 10 bars (50 minutes on 5-minute chart)
Reduced signal frequency to let trends develop
Configuration
SettingDefaultDescriptionEnable Dynamic CooldownONMaster toggle for featureSignal Cooldown5 barsStandard cooldown between signalsStrong Trend ADX Threshold50ADX level that triggers extended cooldownStrong Trend Cooldown10 barsExtended cooldown during strong trends
Panel Display
The info panel provides visual indication of current cooldown state:
ADX row: Shows value with arrow indicator (ADX ↑) when in strong trend mode, blue background when above threshold
Cooldown row: Shows active cooldown period with arrow indicator (Cooldown ↑) when extended, blue background during strong trends
Key Behavior
Cooldown applies to both buy and sell signals equally
Transition between modes is automatic based on ADX conditions
ADX must be both above threshold AND rising to trigger extended cooldown
When ADX stops rising or drops below threshold, cooldown returns to normal immediately
Combined Effect
These two features work together to create a more intelligent trading system:
During Crashes:
BBWP spikes above 92% → Buys frozen
System waits for volatility to normalize
When BBWP drops, limited buys (3 max) capture the actual bottom
Capital preserved for recovery
During Rallies:
ADX rises above 50 → Cooldown extends to 10 bars
Fewer sell signals fire during the move
Positions held longer, capturing more of the trend
Profits allowed to run
During Normal Markets:
Standard 5-bar cooldown
No BBWP restrictions
Full signal frequency for active trading
Summary
Version 2 transforms AI Neural Fusion Pro from a purely reactive indicator into an adaptive system that recognizes market extremes and adjusts its behavior accordingly. Cascade Protection guards against buying into crashes. Dynamic Cooldown guards against selling out of rallies. Together, they help preserve capital during adverse conditions while allowing full participation when markets behave normally.
LiqVision Institutional Suite v6.2 – Hybrid ModeLiqVision Institutional Suite v6.2 — Hybrid Mode (Lightning Edition)
Een ultra-geoptimaliseerde Smart Money-indicator gebaseerd op institutionele principes: Liquidity, Market Structure, Order Blocks, FVG’s en Model 1/2 setups.
Dit script combineert meerdere professionele SMC-concepten in één engine:
🔷 Functionaliteiten
1. Liquidity Engine
Automatische detectie van EQH, EQL en Liquidity Sweeps
Dynamische lijnprojectie met smart cleanup
Slimme sweep-detectie voor high-probability entries
2. Market Structure Engine
BOS & CHOCH detectie
Trend continuatie- en reversalsignalen
Swing-based pivot logic
3. Order Block Engine
Automatische OB-detectie met displacement filtering
Bullish & Bearish macro Order Blocks
HTF glow overlay (nieuw in v6.2)
4. FVG Engine
Major Fair Value Gap detection
Up/Down imbalance visual engine
HTF-based color restoration (v6.2 fix)
5. Model 1 & Model 2 Signal Engine
Trend continuation entries (Model 1)
Reversal setups gebaseerd op HTF liquidity & displacement (Model 2)
Auto-tapping logic geïntegreerd met OB/FVG
6. Hybrid Mode Rendering
Slimme shading afhankelijk van timeframe:
LTF → Hide OB/FVG
MTF → White overlays
HTF → Premium glow visuals
🔷 Alerts
Volledige alert-ondersteuning voor:
Model 1 Buy/Sell
Model 2 Buy/Sell
Liquidity Sweep
BOS Up/Down
CHOCH Up/Down
OB Tap
FVG Tap
Any alert() function call
Geschikt voor Telegram, Discord, bots en externe signal pipelines.
🔷 Gebruik
Voeg de indicator toe
Kies timeframe (1m–4h aanbevolen)
Activeer alerts via “Any alert() function call”
Volg Model 1/2 entries voor optimaal resultaat
⚡ DISCLAIMER
Dit script is uitsluitend bedoeld voor educatieve doeleinden. Geen financieel advies. Resultaten uit het verleden geven geen garantie voor de toekomst.
Helix Protocol 7HELIX PROTOCOL 7
Overview
Helix Protocol 7 is an advanced trend-adaptive signal engine that dynamically adjusts its buy/sell thresholds based on real-time market regime detection. Unlike static indicators that use fixed overbought/oversold levels, Helix 7 recognizes that optimal entry and exit points shift dramatically depending on whether the market is trending strongly, ranging, or reversing.
The indicator fuses multiple analytical frameworks—momentum oscillators, trend strength metrics, volatility analysis, volume confirmation, and price structure—into a unified signal system that adapts to changing market conditions in real-time.
Core Philosophy
"Don't fight the trend—adapt to it."
In a strong uptrend, you want to buy dips early (before extreme oversold) and let winners run longer
In a downtrend, you want to sell bounces quickly and only buy true capitulation
In a neutral/ranging market, standard overbought/oversold levels apply
Helix Protocol 7 automatically detects which regime you're in and applies the appropriate thresholds.
Key Features
🔄 Trend-Adaptive Signal Thresholds
The indicator classifies markets into four states and adjusts Fisher Transform and RSI thresholds accordingly:
Trend StateDetection CriteriaBUY TriggersSELL TriggersSTRONG UPTRENDADX rising, ADX > 25, +DI > -DIFisher < 1.0, RSI < 50Fisher > 2.5, RSI > 70STRONG DOWNTRENDADX rising, ADX > 25, -DI > +DIFisher < -2.5, RSI < 25Fisher > 1.5, RSI > 60WEAK DOWNTRENDADX falling, -DI > +DIFisher < -2.5, RSI < 25Fisher > 1.5, RSI > 60NEUTRALDefault fallbackFisher < -2.0, RSI < 30Fisher > 2.0, RSI > 65
📊 Dynamic Envelope Bands
Adaptive bands that expand and contract based on:
ATR (Average True Range) - Base volatility measure
ADX (Trend Strength) - Bands widen in strong trends
Chaikin Oscillator - Volume-weighted band adjustment
🎯 Multi-Trigger Signal System
Signals can fire from multiple sources:
Trend-Based Signals - Fisher + RSI thresholds met for current regime
Band Touch Signals - Price touches upper/lower band (support/resistance)
EXTREME Signals - Price penetrates band by significant amount (bypasses cooldown)
⚡ Extreme Move Detection
When price makes an explosive move that penetrates the band by more than 30% of ATR (configurable), the signal fires with EXTREME priority and bypasses the normal cooldown period. This ensures you never miss major reversal opportunities.
📈 GXS Scoring System
A proprietary multi-factor scoring system (-1.0 to +1.0) that weighs:
Trend Strength (30%) - ADX direction and magnitude
Momentum (25%) - RSI, MACD, Stochastic, CCI, ROC consensus
Volume (20%) - OBV trend and volume surge detection
Price Structure (15%) - Band position and volatility percentile
Price Action (10%) - Bullish/bearish candle ratio
🔀 RSI Divergence Detection
Automatically detects and displays:
Regular Bullish Divergence - Price lower low + RSI higher low (reversal up)
Regular Bearish Divergence - Price higher high + RSI lower high (reversal down)
Hidden Bullish Divergence - Trend continuation signal (uptrend)
Hidden Bearish Divergence - Trend continuation signal (downtrend)
📉 BBWP Volatility Meter
Bollinger Band Width Percentile measures current volatility relative to historical norms:
LOW (< 30%) - Volatility compression, breakout imminent
MEDIUM (30-70%) - Normal market conditions
HIGH (> 70%) - Extended volatility, potential exhaustion
Visual Components
Money Line
A dynamic centerline (Linear Regression or Weighted EMA) colored by slope:
🟢 Green - Rising (bullish momentum)
🔴 Red - Falling (bearish momentum)
🟡 Yellow - Flat (consolidation)
Envelope Cloud
Shaded region between upper and lower bands, colored by Money Line slope direction for instant trend visualization.
Signal Labels
Clear entry/exit labels showing:
Price level
Trigger type (UPTREND DIP, CAPITULATION, BAND TOUCH, EXTREME, etc.)
Color coding (Green=Buy, Red=Sell, Lime=Extreme Buy, Fuchsia=Extreme Sell)
ADX Trend Bar
Bottom indicator showing trend state:
🟢 Lime - Strong Uptrend
🔴 Red - Downtrend
🟠 Orange - Weak/Transitional (ADX 15-24)
⚪ White - Ranging (ADX < 15)
🔵 Blue - Strong trend, neutral direction
Info Panel
Real-time dashboard displaying:
Current trend state
GXS Score
Active divergences
Volatility level (BBWP)
ADX value and direction
DI Spread
Fisher Transform value
RSI value
Context-sensitive BUY/SELL thresholds for current regime
Alert System
JSON Webhook Alerts (Bot-Ready)
json{
"action": "BUY",
"symbol": "BTC/USDT",
"price": "93500.00",
"trigger": "EXTREME",
"rsi": "28.5",
"fisher": "-2.31",
"adx": "32.4",
"trend_state": "STRONG DOWN"
}
Available Alert Conditions
Buy Signal / Sell Signal
Lower Band Touch / Upper Band Touch
EXTREME Lower Band / EXTREME Upper Band
Strong Uptrend Started
Downtrend Started
Neutral Trend Started
Trend State Change
Recommended Settings
Scalping (1m-5m)
Signal Cooldown: 3-5 bars
Extreme Penetration: 0.2 (more sensitive)
ADX Length: 10-12
Swing Trading (15m-4H)
Signal Cooldown: 5-8 bars
Extreme Penetration: 0.3 (default)
ADX Length: 14 (default)
Position Trading (Daily+)
Signal Cooldown: 8-12 bars
Extreme Penetration: 0.4-0.5 (less sensitive)
ADX Length: 14-20
Input Parameters
Core Settings
Money Line Type (Linear Regression / Weighted EMA)
Money Line Length
RSI Period
Fisher Period
Dynamic Bands
ATR Period & Multiplier
Adaptive Bands toggle
Chaikin Weight
Extreme Band Penetration threshold
Trend Detection
ADX Length & Slope Lookback
Strong Trend ADX Threshold
DI Spread for Neutral detection
Signal Thresholds (by Trend State)
Fully customizable Fisher/RSI/ADX levels for each regime
Separate BUY and SELL parameters
Display Options
Toggle bands, cloud, labels, panels
Cooldown period
Debug panel for troubleshooting
Best Practices
Confirm with price action - Signals are high-probability setups, not guarantees
Respect the trend state - The panel shows current thresholds for a reason
Watch for EXTREME signals - These indicate significant reversals
Use divergences as confluence - Especially powerful at band touches
Monitor volatility - Low BBWP often precedes big moves
Version: 7.0
Author: ralis24
ROC Bot AlertsA rules-based momentum scalping framework for short-term index futures
This indicator is designed for traders who focus on fast-moving, intraday momentum opportunities—particularly on lower timeframes such as the 1-minute chart. It uses a structured combination of trend filters and short-term momentum tools to help identify potential continuation entries during active market conditions.
Core Concept
The tool evaluates price behavior relative to a dynamic trend line while measuring short-term rate-of-change and directional strength. When all components align, the indicator highlights moments where the market may be transitioning into or sustaining momentum in one direction. Conversely, when conditions deteriorate or momentum weakens, the indicator suppresses signals to reduce noise and avoid choppy environments.
This approach aims to provide buy/sell signals for scalping in trending or expanding-volatility conditions.
What the Indicator Uses
The system assesses several factors before confirming a potential momentum signal:
A dynamic trend filter to determine directional bias
A rate-of-change threshold to confirm short-term acceleration
A trend-strength component to avoid signals during low-energy or ranging conditions
A cooldown mechanism to prevent rapid, back-to-back signals in unsettled areas
Only when all conditions align does the indicator paint a long or short trigger on the chart.
Intended Use
This tool is best suited for:
- Active scalpers
- Intraday index futures traders (NQ, ES, GC, etc.)
- Short-duration momentum traders
- Traders who prefer clean, rules-based decision making
It is not designed for swing trading, long-term trend following, or counter-trend strategies.
How to Read the Signals
- Buy markers appear when trend, momentum, and strength all support upward continuation.
- Sell markers appear when these same factors align in the opposite direction.
- The 90-period trend line can be shown or hidden based on user preference, but it remains part of the decision framework internally.
- The user may optionally adjust the momentum threshold (ROC%) to suit different volatility environments.
Important Notes
Signals are generated only on completed bars.
As with all technical tools, this should be used alongside proper risk and trade management practices.
Grok/Claude Quantum Signal Pro * Enhanced v2# QSig Pro+ v2 — Dynamic RSI Enhancement
## Release: Quantum Signal Pro Enhanced v2
**Author:** ralis24 (with Claude assistance)
**Version:** 2.0
**Platform:** TradingView (Pine Script v6)
---
## Overview
Version 2 introduces **Trend-Adaptive RSI Thresholds** — a significant enhancement that dynamically adjusts buy and sell levels based on real-time trend strength. This allows the indicator to more effectively capture dips in uptrends and sell bounces in downtrends, rather than waiting for extreme oversold/overbought conditions that rarely occur during strong directional moves.
---
## The Problem v2 Solves
In the original QSig Pro+, RSI thresholds were fixed at 30 (oversold) and 70 (overbought). While these levels work well in ranging markets, they create issues in trending conditions:
- **Strong Uptrends:** Price rarely drops to RSI 30. Pullbacks typically bottom around RSI 40-50, causing missed buy opportunities.
- **Strong Downtrends:** Relief rallies rarely push RSI above 70. Bounces often exhaust around RSI 55-65, causing missed sell opportunities.
The v2 solution: **Let the market's trend strength dictate the appropriate RSI levels.**
---
## New Feature: Dynamic RSI Thresholds
### How It Works
The indicator now detects three distinct market states and applies corresponding RSI thresholds:
| Market State | Detection Criteria | RSI Buy Level | RSI Sell Level |
|--------------|-------------------|---------------|----------------|
| **Strong Uptrend** | +DI > -DI, ADX > 24, ADX rising | < 40 | > 80 |
| **Strong Downtrend** | -DI > +DI, ADX > 24, ADX rising | < 20 | > 60 |
| **Neutral/Ranging** | ADX < 24 or ADX falling | < 30 | > 70 |
### Trend State Detection Logic
```
Strong Uptrend = (+DI > -DI) AND (ADX > threshold) AND (ADX > ADX )
Strong Downtrend = (-DI > +DI) AND (ADX > threshold) AND (ADX > ADX )
Neutral = Neither condition met
```
### Anti-Whipsaw Protection
To prevent rapid switching between threshold sets during choppy transitions, a **confirmation buffer** requires the trend state to persist for a configurable number of bars (default: 2) before the indicator switches regimes.
---
## New Input Parameters
A new input group "**Dynamic RSI Thresholds**" has been added with the following settings:
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Enable Trend-Adaptive RSI Levels | ON | toggle | Master switch for the feature |
| ADX Strong Trend Threshold | 24 | 15-40 | ADX must exceed this to qualify as "strong" trend |
| ADX Rising Lookback (bars) | 3 | 1-10 | ADX must be higher than N bars ago to confirm rising |
| Trend Confirmation Bars | 2 | 1-5 | Bars trend must persist before switching thresholds |
| RSI Buy Level (Strong Uptrend) | 40 | 30-55 | Oversold threshold during confirmed uptrends |
| RSI Sell Level (Strong Uptrend) | 80 | 70-90 | Overbought threshold during confirmed uptrends |
| RSI Buy Level (Strong Downtrend) | 20 | 10-30 | Oversold threshold during confirmed downtrends |
| RSI Sell Level (Strong Downtrend) | 60 | 50-70 | Overbought threshold during confirmed downtrends |
| RSI Buy Level (Neutral/Ranging) | 30 | 20-40 | Standard oversold threshold |
| RSI Sell Level (Neutral/Ranging) | 70 | 60-80 | Standard overbought threshold |
---
## Enhanced Info Panel
The information panel now displays two new rows:
1. **Trend State** — Shows current regime: "STRONG UP" (green), "STRONG DOWN" (red), or "NEUTRAL" (gray)
2. **RSI Levels** — Displays the currently active thresholds (e.g., "40 / 80" during uptrends)
Additionally, the **ADX row** now includes a directional arrow (↑ or ↓) indicating whether ADX is rising or falling.
---
## Enhanced Signal Labels
Buy and sell labels on the chart now include contextual information:
**Before (v1):**
```
BUY: 97,234.50
```
**After (v2):**
```
BUY: 97,234.50
STRONG UP | RSI<40
```
This provides immediate visual confirmation of which threshold regime triggered the signal.
---
## Enhanced Alert System
### New Alert Conditions
Three new alerts have been added for trend state changes:
- **🔼 Strong Uptrend Started** — Fires when market transitions to strong uptrend (thresholds shift to 40/80)
- **🔽 Strong Downtrend Started** — Fires when market transitions to strong downtrend (thresholds shift to 20/60)
- **⚖️ Trend Neutralized** — Fires when trend weakens and thresholds reset to 30/70
### Enhanced Webhook JSON
The JSON alert payload now includes additional fields for bot integration:
```json
{
"action": "BUY",
"symbol": "BTC/USDT",
"price": "97234.50",
"rsi": "38.5",
"rsi_threshold": "40",
"adx": "28.3",
"fisher": "-1.87",
"trend_state": "STRONG UP"
}
```
---
## Bonus Enhancement: Dynamic Fisher Thresholds
As an additional refinement, the Fisher Transform thresholds now adjust slightly based on trend state:
| Trend State | Fisher Buy Level | Fisher Sell Level |
|-------------|------------------|-------------------|
| Strong Uptrend | -1.5 (loosened) | -2.0 (standard) |
| Strong Downtrend | -2.0 (standard) | +1.5 (loosened) |
| Neutral | -2.0 (standard) | +2.0 (standard) |
This allows the indicator to trigger signals in strong trends where momentum oscillators rarely reach extreme levels.
---
## Practical Trading Impact
### Strong Uptrend Example (BTC rally)
- **Before:** Waiting for RSI < 30 means missing most pullback entries
- **After:** RSI < 40 triggers buy signals on normal pullbacks within the trend
### Strong Downtrend Example (Bear market bounce)
- **Before:** Waiting for RSI > 70 means holding through entire relief rallies
- **After:** RSI > 60 triggers sell signals on bounce exhaustion
### Ranging Market
- Thresholds remain at traditional 30/70 levels where mean reversion works best
---
## Backward Compatibility
The dynamic RSI feature can be completely disabled by turning off "Enable Trend-Adaptive RSI Levels" in the settings. When disabled, the indicator behaves identically to v1 using the neutral threshold values (30/70).
---
## Summary of Changes
| Component | v1 | v2 |
|-----------|----|----|
| RSI Thresholds | Fixed 30/70 | Dynamic based on trend state |
| Trend State Detection | Not present | +DI/-DI + ADX + Rising confirmation |
| Whipsaw Protection | Not present | Configurable confirmation bars |
| Info Panel Rows | 10 | 12 (added Trend State, RSI Levels) |
| ADX Display | Value only | Value + direction arrow |
| Signal Labels | Price only | Price + Trend State + Threshold |
| Alert Conditions | 10 | 13 (added 3 trend state alerts) |
| Webhook Fields | 5 | 7 (added rsi_threshold, trend_state) |
| Fisher Thresholds | Fixed | Adaptive (subtle adjustment) |
---
## Recommended Settings by Market Type
### Crypto (High Volatility)
- ADX Strong Trend Threshold: 24
- RSI Buy (Uptrend): 40-45
- RSI Sell (Downtrend): 55-60
### Forex (Medium Volatility)
- ADX Strong Trend Threshold: 22
- RSI Buy (Uptrend): 38-42
- RSI Sell (Downtrend): 58-62
### Stocks/Indices (Lower Volatility)
- ADX Strong Trend Threshold: 20
- RSI Buy (Uptrend): 35-40
- RSI Sell (Downtrend): 60-65
---
## Installation
1. Open TradingView and navigate to Pine Editor
2. Remove or rename existing QSig Pro+ indicator
3. Paste the complete v2 code
4. Click "Add to Chart"
5. Configure Dynamic RSI Thresholds in settings as desired
---
*QSig Pro+ v2 — Smarter entries through trend-aware signal generation*
MACD Forecast Colorful [DiFlip]MACD Forecast Colorful
The Future of Predictive MACD — is one of the most advanced and customizable MACD indicators ever published on TradingView. Built on the classic MACD foundation, this upgraded version integrates statistical forecasting through linear regression to anticipate future movements — not just react to the past.
With a total of 22 fully configurable long and short entry conditions, visual enhancements, and full automation support, this indicator is designed for serious traders seeking an analytical edge.
⯁ Real-Time MACD Forecasting
For the first time, a public MACD script combines the classic structure of MACD with predictive analytics powered by linear regression. Instead of simply responding to current values, this tool projects the MACD line, signal line, and histogram n bars into the future, allowing you to trade with foresight rather than hindsight.
⯁ Fully Customizable
This indicator is built for flexibility. It includes 22 entry conditions, all of which are fully configurable. Each condition can be turned on/off, chained using AND/OR logic, and adapted to your trading model.
Whether you're building a rules-based quant system, automating alerts, or refining discretionary signals, MACD Forecast Colorful gives you full control over how signals are generated, displayed, and triggered.
⯁ With MACD Forecast Colorful, you can:
• Detect MACD crossovers before they happen.
• Anticipate trend reversals with greater precision.
• React earlier than traditional indicators.
• Gain a powerful edge in both discretionary and automated strategies.
• This isn’t just smarter MACD — it’s predictive momentum intelligence.
⯁ Scientifically Powered by Linear Regression
MACD Forecast Colorful is the first public MACD indicator to apply least-squares predictive modeling to MACD behavior — effectively introducing machine learning logic into a time-tested tool.
It uses statistical regression to analyze historical behavior of the MACD and project future trajectories. The result is a forward-shifted MACD forecast that can detect upcoming crossovers and divergences before they appear on the chart.
⯁ Linear Regression: Technical Foundation
Linear regression is a statistical method that models the relationship between a dependent variable (y) and one or more independent variables (x). The basic formula for simple linear regression is:
y = β₀ + β₁x + ε
Where:
y = predicted variable (e.g., future MACD value)
x = independent variable (e.g., bar index)
β₀ = intercept
β₁ = slope
ε = random error (residual)
The regression model calculates β₀ and β₁ using the least squares method, minimizing the sum of squared prediction errors to produce the best-fit line through historical values. This line is then extended forward, generating a forecast based on recent price momentum.
⯁ Least Squares Estimation
The regression coefficients are computed with the following formulas:
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables.
⯁ Regression in Machine Learning
Linear regression is a foundational model in supervised learning. Its ability to provide precise, explainable, and fast forecasts makes it critical in AI systems and quantitative analysis.
Applying linear regression to MACD forecasting is the equivalent of injecting artificial intelligence into one of the most widely used momentum tools in trading.
⯁ Visual Interpretation
Picture the MACD values over time like this:
Time →
MACD →
A regression line is fitted to recent MACD values, then projected forward n periods. The result is a predictive trajectory that can cross over the real MACD or signal line — offering an early-warning system for trend shifts and momentum changes.
The indicator plots both current MACD and forecasted MACD, allowing you to visually compare short-term future behavior against historical movement.
⯁ Scientific Concepts Used
Linear Regression: models the relationship between variables using a straight line.
Least Squares Method: minimizes squared prediction errors for best-fit.
Time-Series Forecasting: projects future data based on past patterns.
Supervised Learning: predictive modeling using labeled inputs.
Statistical Smoothing: filters noise to highlight trends.
⯁ Why This Indicator Is Revolutionary
First open-source MACD with real-time predictive modeling.
Scientifically grounded with linear regression logic.
Automatable through TradingView alerts and bots.
Smart signal generation using forecasted crossovers.
Highly customizable with 22 buy/sell conditions.
Enhanced visuals with background (bgcolor) and area fill (fill) support.
This isn’t just an update — it’s the next evolution of MACD forecasting.
⯁ Example of simple linear regression with one independent variable
This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables.
⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x)
This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component.
⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab
Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models.
⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted
This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model.
⯁ Result of fitting a set of data points with a quadratic function
This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line.
⯁ What is the MACD?
The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram.
⯁ How to use the MACD?
The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line.
Here are the primary signals generated by the MACD:
• Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal.
• Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal.
• Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal.
• Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI.
⯁ How to use MACD forecast?
The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities.
Step 1 — Spot Predicted Crossovers:
Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move.
Step 2 — Confirm with Histogram Projection:
Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions.
Step 3 — Combine with Multi-Timeframe Analysis:
Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast).
Step 4 — Set Entry Conditions & Automation:
Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts.
Step 5 — Trade Ahead of the Market:
By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders.
📈 BUY
🍟 Signal Validity: The signal will remain valid for X bars.
🍟 Signal Sequence: Configurable as AND or OR.
🍟 MACD > Signal Smoothing
🍟 MACD < Signal Smoothing
🍟 Histogram > 0
🍟 Histogram < 0
🍟 Histogram Positive
🍟 Histogram Negative
🍟 MACD > 0
🍟 MACD < 0
🍟 Signal > 0
🍟 Signal < 0
🍟 MACD > Histogram
🍟 MACD < Histogram
🍟 Signal > Histogram
🍟 Signal < Histogram
🍟 MACD (Crossover) Signal
🍟 MACD (Crossunder) Signal
🍟 MACD (Crossover) 0
🍟 MACD (Crossunder) 0
🍟 Signal (Crossover) 0
🍟 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
📉 SELL
🍟 Signal Validity: The signal will remain valid for X bars.
🍟 Signal Sequence: Configurable as AND or OR.
🍟 MACD > Signal Smoothing
🍟 MACD < Signal Smoothing
🍟 Histogram > 0
🍟 Histogram < 0
🍟 Histogram Positive
🍟 Histogram Negative
🍟 MACD > 0
🍟 MACD < 0
🍟 Signal > 0
🍟 Signal < 0
🍟 MACD > Histogram
🍟 MACD < Histogram
🍟 Signal > Histogram
🍟 Signal < Histogram
🍟 MACD (Crossover) Signal
🍟 MACD (Crossunder) Signal
🍟 MACD (Crossover) 0
🍟 MACD (Crossunder) 0
🍟 Signal (Crossover) 0
🍟 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
🤖 Automation
All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies.
⯁ Unique Features
Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Background Colors: "bgcolor"
Background Colors: "fill"
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Background Colors: "bgcolor"
Background Colors: "fill"
AliceTears GridAliceTears Grid is a customizable Mean Reversion system designed to capitalize on market volatility during specific trading sessions. Unlike standard grid bots that place blind limit orders, this strategy establishes a daily or session-based "Baseline" and looks for price over-extensions to fade the move back to the mean.
This strategy is best suited for ranging markets (sideways accumulation) or specific forex sessions (e.g., Asian Session or NY/London overlap) where price tends to revert to the opening price.
🛠 How It Works
1. The Baseline & Grid Generation At the start of every session (or the daily open), the script records the Open price. It then projects visual grid lines above and below this price based on your Step % input.
Example: If the Open is $100 and Step is 1%, lines are drawn at $101, $102, $99, $98, etc.
2. Entry Logic: Reversal Mode This script features a "Reversal Mode" (enabled by default) to filter out "falling knives."
Standard Grid: Buys immediately when price touches the line.
AliceTears Logic: Waits for the price to breach a grid level and then close back inside towards the mean. This confirms a potential rejection of that level before entering.
3. Exit Logic
Target Profit: The primary target is the previous grid level (Mean Reversion).
Trailing Stop: If the price continues moving in your favor, a trailing stop activates to maximize the run.
Stop Loss: A manual percentage-based stop loss is available to prevent deep drawdowns in trending markets.
⚙️ Key Features
Visual Grid: Automatically draws entry levels on the chart for the current session, helping you visualize where the "math" is waiting for price.
Timezone & Session Control: Includes a custom Timezone Offset tool. You can trade specific hours (e.g., 09:30–16:00) regardless of your chart's UTC setting.
Grid Management: Independent logic for Long and Short grids with pyramiding capabilities.
Safety Filters: Options to force-close trades at the end of the session to avoid overnight gaps.
⚠️ Risk Warning
Please Read Before Using: This is a Counter-Trend / Grid Strategy.
Pros: High win rate in sideways/ranging markets.
Cons: In strong trending markets (parabolic pumps or crashes), this strategy will add to losing positions ("catch a falling knife").
Recommendation: Always use the Stop Loss and Date Filter inputs. Do not run this on highly volatile assets without strict risk management parameters.
Settings Guide
Entry Reversal Mode: Keep checked for safer entries. Uncheck for aggressive limit-order style execution.
Grid Step (%): The distance between lines. For Forex, use lower values (0.1% - 0.5%). For Crypto, use higher values (1.0% - 3.0%).
UTC Offset: Adjust this to align the Session Hours with your target market (e.g., -5 for New York).
This script is open source. Feel free to use it for educational purposes or modify it to fit your trading style.
AB=CD Fibonacci Strategy (One Trade at a Time)
AB=CD Fibonacci Strategy - Harmonic Pattern Trading Bot
Description
An automated trading strategy that identifies and trades the classic AB=CD harmonic pattern, one of the most reliable geometric price formations in technical analysis. This strategy detects perfectly proportioned Fibonacci retracement setups and executes trades with precise risk-reward management.
How It Works
The indicator scans for the AB=CD pattern structure:
Leg AB: Initial swing from pivot point A to pivot point B
Leg BC: Retracement to point C (customizable Fibonacci levels)
Leg CD: Mirror projection equal to the AB leg length
When price touches point D, the strategy automatically enters a position with predefined take-profit and stop-loss levels based on your risk-reward ratio.
Key Features
One Trade at a Time: Ensures disciplined position management by allowing only one active trade per pattern
Customizable Fibonacci Retracement: Set your preferred retracement range for point C (default 50% - 78.6%)
Risk-Reward Control: Adjust stop-loss and take-profit multiples to match your trading plan
Visual Pattern Display: Clear labeling of A, B, C, D points with pattern lines for easy identification
Both Directions: Identifies bullish and bearish AB=CD patterns automatically
Ideal For
Swing traders on higher timeframes (4H, Daily, Weekly)
Harmonic pattern traders seeking automation
Traders wanting precise entry and exit rules based on Fibonacci geometry
Those looking to reduce emotional trading and increase consistency
Default Settings Optimized For
NASDAQ futures and currency pairs
Medium timeframe analysis
Conservative risk management (10% position size per trade)
Super-AO with Risk Management Alerts Template - 11-29-25Super-AO with Risk Management: ALERTS & AUTOMATION Edition
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
This is the Indicator / Alerts companion to the Super-AO Strategy.
While the Strategy version is built for backtesting (verifying profitability and checking historical performance), this Indicator version is built for Live Execution.
We understand the frustration of finding a great strategy, only to realize you can't easily hook it up to your trading bot. This script solves that. It contains the exact same "Super-AO" logic and "Risk Management Engine" as the strategy version, but it is optimized to send signals to automation platforms like Signal Lynx, 3Commas, or any Webhook listener.
2. Quick Action Guide (TL;DR)
Purpose: Live Signal Generation & Automation.
Workflow:
Use the Strategy Version to find profitable settings.
Copy those settings into this Indicator Version.
Set a TradingView Alert using the "Any Alert() function call" condition.
Best Timeframe: 4 Hours (H4) and above.
Compatibility: Works with any webhook-based automation service.
3. Why Two Scripts?
Pine Script operates in two distinct modes:
Strategy Mode: Calculates equity, drawdowns, and simulates orders. Great for research, but sometimes complex to automate.
Indicator Mode: Plots visual data on the chart. This is the preferred method for setting up robust alerts because it is lighter weight and plots specific values that automation services can read easily.
The Golden Rule: Always backtest on the Strategy, but trade on the Indicator. This ensures that what you see in your history matches what you execute in real-time.
4. How to Automate This Script
This script uses a "Visual Spike" method to trigger alerts. Instead of drawing equity curves, it plots numerical values at the bottom of your chart when a trade event occurs.
The Signal Map:
Blue Spike (2 / -2): Entry Signal (Long / Short).
Yellow Spike (1 / -1): Risk Management Close (Stop Loss / Trend Reversal).
Green Spikes (1, 2, 3): Take Profit Levels 1, 2, and 3.
Setup Instructions:
Add this indicator to your chart.
Open your TradingView "Alerts" tab.
Create a new Alert.
Condition: Select SAO - RM Alerts Template.
Trigger: Select Any Alert() function call.
Message: Paste your JSON webhook message (provided by your bot service).
5. The Logic Under the Hood
Just like the Strategy version, this indicator utilizes:
SuperTrend + Awesome Oscillator: High-probability swing trading logic.
Non-Repainting Engine: Calculates signals based on confirmed candle closes to ensure the alert you get matches the chart reality.
Advanced Adaptive Trailing Stop (AATS): Internally calculates volatility to determine when to send a "Close" signal.
6. About Signal Lynx
Automation for the Night-Shift Nation 🌙
We are providing this code open source to help traders bridge the gap between manual backtesting and live automation. This code has been in action since 2022.
If you are looking to automate your strategies, please take a look at Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please release them back to the community!
