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version 2 and tradeview ports are bellow.

Posting for Fun. One of my first projects inside thinkscript, but AI could probably do it now.

Position Sizer LITE – Free Version marketfragments.com

Clean, lightweight trade manager for ThinkOrSwim.

Includes:

• 4 simple Trade Plans: Basic RR, Runner, Basic + Scale, Basic + Time

• ALMA entries

NOTE: if anyone wants something specific added or a separate code relative to this, please ask. We will get it done.

### Purpose / What it's used for

This script helps traders spot high-conviction setups by requiring **all three** layers of confirmation:

- Significant volume anomalies (multiple different volume spike conditions firing at once)

KaseDevMult Trailing Stop: A Technical Analysis Tool for Traders

Executive Summary

The KaseDevMult Trailing Stop is a modified Thinkorswim (TOS) study based on Cynthia Kase's volatility-based trailing stop methodology. It dynamically adjusts stop-loss levels to protect profits while allowing trades room to breathe. This white paper outlines each user-configurable input option, highlighting their functions, positives, and negatives. Designed for futures, stocks, and volatile assets on 5-15 minute charts, it balances risk management with trade longevity. Recommended defaults provide a starting point, but customization is key for strategy alignment.

Input Options: Explanations, Positives, and Negatives1. trailType (Options: modified, unmodified [default], Heiken)

Mock DBSCAN Anomaly Indicator for Thinkorswim: Detecting HFT Irregularities and Microstructure Risks

In high-frequency markets, subtle deviations in order flow can signal manipulation (e.g., spoofing or layering by HFT algorithms) or structural risks like thin liquidity. This custom Thinkorswim indicator approximates DBSCAN clustering on a 3D feature space of normalized percent changes in price, volume, and tick count to identify anomalies in real-time.

Core Concept: DBSCAN Approximation in Trading.

DBSCAN (Density-Based Spatial Clustering of Applications with Noise) excels at isolating outliers in noisy datasets without assuming cluster shapes. Here, each bar is a point in 3D space:

This analysis leverages a Python-based framework to systematically identify and rank Fair Value Gaps (FVGs) in E-mini S&P 500 (ES) 5-minute futures data, drawing from ICT/SMC principles to uncover high-probability setups by dissecting market structure into pre-FVG momentum (trends and volume slopes), during-FVG candle characteristics (body/wick ratios, volume spikes, close positioning), and post-FVG validation (directional slopes, risk-reward projections adjusted for congestion). Through vectorized feature engineering and hyperparameter optimization via Hyperopt, the script computes composite scores—weighting candle strength (20%), pre-context (30%), post-momentum (30%), and RR viability (20%)—to surface top individual FVGs and recurring patterns filtered for at least 2-3 occurrences per week over configurable historical periods (e.g., 1-5 years), ensuring statistical relevance while exporting detailed CSVs for manual review. The generated ThinkOrSwim indicator incorporates a state machine for layered, real-time signal building: idle monitoring transitions to FVG watch (with timeout fail-safes), pullback confirmation (touch tolerance via ATR, volume crosses, and third-of-candle…

India Hemangioblastoma Market

The India Hemangioblastoma Market is a highly specialized and relatively nascent segment within the Indian neuro-oncology and surgical space. Hemangioblastomas, which are generally benign vascular tumors of the central nervous system, are frequently associated with von Hippel-Lindau (VHL) disease, making the market intrinsically linked to rare disease management and genetic screening. The market size is currently limited by the low incidence rate of the tumor itself, but is expanding due to improved diagnostic capabilities and increasing patient referrals to specialized neurosurgical centers in Tier-1 cities. The core of the market is driven by definitive treatment modalities, primarily microsurgical resection and stereotactic radiosurgery (SRS). Key market drivers include the continuous technological upgrades in neurosurgical infrastructure, particularly the installation of advanced operating microscopes, intraoperative imaging (like fMRI and DTI), and navigation systems, which allow for safer and more complete tumor removal. The increasing availability of high-precision radiosurgery devices…