This is a market-state classification and signal-generation system. Designed for professional proprietary firms and systematic retail traders, this overlay indicator operates on a profound technical thesis: “Confirm the state casually, trade with anticipation.
Most modern trading systems fail because they rely on lag-heavy digital filters, suffer from the “curse of dimensionality” when processing historical charts, or ignore institutional order flow context. ⟡ CSC solves these structural challenges by fusing five cutting-edge quantitative methodologies into a single, cohesive, self-learning visual script:
- A Shift-Invariant Stationary Wavelet Transform (SWT) Engine running 5 selectable Mother Wavelet families with unsmoothed detail bands to capture immediate high-frequency energy shocks.
- A 13-Feature Non-Euclidean Lorentzian k-Nearest Neighbors (k-NN) Classifier with a strict, delayed-outcome training loop that dynamically updates a localized memory database.
- A LogicWeights Reinforcement Learning (RL) Processor that constantly optimizes pattern weight parameters based on realized win/loss trade outcomes.
- A Native Microstructure Footprint & Market Structure Levels (MSL) Engine to verify institutional liquidity zones, Value Areas (VA), and POC locations.
- An Advanced Rotational Market State (RCM) Conviction Engine that continuously calculates structural trend integrity and damage.
DEEP MATHEMATICAL ARCHITECTURE
A. Shift-Invariant Stationary Wavelet Transform (SWT)
Traditional digital moving averages (EMA, SMA, HMA) introduce significant phase lag. ⟡ CSC bypasses this limitation using a discrete Stationary Wavelet Transform (SWT), which decomposes price into a series of time-localized frequency sub-bands:
f
“message_type”: “bot”,
“bot_id”: “12345678”,
“email_token”: “your-unique-email-token-1234”,
“delay_seconds”: 0,
“pair”: “{{exchange}}:{{ticker}}”,
“action”: “trigger_signal”
}
Template 3: Universal Webhook JSON (For custom programmatic servers)
If you route signals to a custom API or private trading bot server, use this format to pass comprehensive market-state data:
{
“strategy”: “CSC_DAFE”,
“ticker”: “{{ticker}}”,
“exchange”: “{{exchange}}”,
“close”: {{close}},
“time”: “{{timenow}}”,
“volume”: {{volume}},
“interval”: “{{interval}}”,
“message”: “{{alertstring}}”
}
C. Setting Up Your Webhook in TradingView
- Open the ⟡ CSC indicator settings on your chart and calibrate your inputs.
- Click the Alert icon on your TradingView menu.
- Set the Condition to Casual State Confirmation [DAFE].
- Select the desired signal condition (e.g., CSC Long Signal or CSC Short Signal).
- Set the Trigger Option to Once Per Bar Close (highly recommended to preserve k-NN and machine learning logic).
- In the Alert Actions tab, check Webhook URL and paste your gateway’s API link.
- In the Message box, paste one of the JSON templates shown above.
- Click Create.
PLATFORM COMPLIANCE & RISK DISCLAIMERS
No Guarantee of Financial Returns: This software tool is designed for educational and informational purposes only. It is not financial or investment advice. Systematic trading carries high risks of capital loss.
Hypothetical Backtesting Limitations: All performance statistics displayed in the HUD table are calculated in real time using historical data and are completely simulated. Simulated results have inherent limitations and do not represent live market transactions, brokerage fees, or execution slippage.
User Operational Responsibility: The user is solely responsible for determining position sizing, risk limits, and broker connections. ⟡ CSC is not a financial advisor. Always test Webhook JSON integrations in simulated paper-trading environments before risking live capital.
— Dskyz, Trade with insight. Trade with anticipation. (Don’t follow the trend, be the trend)
