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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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48 results for Trading Charts

Deep CNN model uses stock bar charts for trading, outperforming Buy and Hold.

problem Predicting stock prices using 2D bar charts instead of time series data.
method 2D Convolutional Neural Network (CNN) trained on bar chart images of 30-day windows.
result Model outperformed Buy and Hold strategy, especially in trendless markets.

In this paper we try to design the necessary calculation needed for backtesting trading systems when only candle chart data are available. We lay particular emphasis on situations which are not or not uniquely decidable and give possible strategies to handle such situations.

2014-12-17abs ↗pdf ↗

Trading strategies improved by classifying financial time-series images.

problem Improving financial trading strategies using image classification.
method Created a dataset of financial time-series images, labeled them, and trained machine learning models.
result Machine learning models trained on image data outperformed traditional time-series analysis.

FinVision uses LLM agents to predict stock markets by processing various financial data types.

problem Challenges in integrating diverse financial data for accurate stock market prediction.
method Multi-agent framework with LLMs specialized in different financial data types and a reflection module.
result The reflection module enhances decision-making capabilities for financial trading.

MountainLion uses LLMs to interpret financial data and generate investment strategies.

problem Challenges in integrating heterogeneous data for financial trading.
method Multi-modal LLM-based agents that process textual and visual data.
result Improves returns and investor confidence through interpretable investment framework.

This paper studies minimal charts of a specific type to understand embedded surfaces in 4-space.

problem Investigating minimal charts of a specific type to understand embedded surfaces in 4-space.
method Analyzing charts of type (5,2) to find a minimal chart.
result Identified a minimal chart of type (5,2) representing an embedded surface in 4-space.

In this paper, we give definitions of three kinds of minimal charts, and we investigate properties of minimal charts and establish fundamental theorems characterizing minimal charts. To classify charts with two or three crossings we use the fundamental theorems. In the future paper, we give an numeration of the charts …

2016-02-09abs ↗pdf ↗

The paper studies 4-charts with three crossings and their equivalence to a specific knot.

problem Investigating the structure and equivalence of 4-charts with three crossings.
method Examining charts as oriented labeled graphs in a disk, focusing on acyclic components and equivalence through label-orientation-reflection.
result Any linear minimal 4-chart with three crossings is equivalent to a 2-twist spun trefoil knot.

Minimal charts of specific type contain unique subgraphs.

problem Characterizing minimal charts of type (m;2,3,2)(m;2,3,2).
method Analyzing the structure of charts and their subgraphs.
result Each of Γm+1Γ_{m+1} and Γm+2Γ_{m+2} contains one of three specific subgraphs.

In this paper, we shall show a condition for that a chart is C-move equivalent to the product of two charts, the union of two charts ΓΓ^* and ΓΓ^{**} which are contained in disks DD^* and DD^{**} with DD=D^*\cap D^{**}=\emptyset.

2016-03-27abs ↗pdf ↗

This paper studies the structure of a specific neighborhood in minimal 2-crossing charts.

problem Understanding the structure of a minimal 2-crossing chart with specific neighborhoods.
method Analyzes the neighborhoods of ΓαΓβΓ_α\cupΓ_β and proposes a normal form for 2-crossing minimal nn-charts.
result Proposes a normal form for 2-crossing minimal nn-charts.

Support Vector Data Description (SVDD) is a machine learning technique used for single class classification and outlier detection. SVDD based K-chart was first introduced by Sun and Tsung for monitoring multivariate processes when underlying distribution of process parameters or quality characteristics depart from Norm…

2016-07-25abs ↗pdf ↗

Study integrates deep learning with financial data for improved trading strategies.

problem Enhancing predictive performance in algorithmic trading and portfolio optimization.
method Developed embedding techniques to treat limit order book snapshots as image-based input channels.
result Achieved state-of-the-art performance in high-frequency trading algorithms.

A method to fix radius distortion in generative models on curved spaces.

problem Distortion in geodesic radius measurements across different charts on Riemannian manifolds.
method Radial Compensation (RC) adjusts the tangent-space base distribution to match the geodesic radius law, improving model stability and interpretability.
result RC ensures that the model's geodesic radius matches the intended distribution, improving numerical stability and curvature interpretation.

Enhances trading signals using image analysis and weighted moving averages.

problem Improving price trend trading strategies in financial markets.
method Image-induced importance weights applied to weighted moving averages of trading signals.
result Significant enhancement of price trend trading signals with improved portfolio selection.

Let ΓΓ be a chart. For each label mm, we denote by ΓmΓ_m the "subgraph" of ΓΓ consisting of all the edges of label mm and their vertices. Let ΓΓ be a minimal chart of type (m;3,3)(m;3,3). That is, a minimal chart ΓΓ has six white vertices, and both of ΓmΓm+1Γ_m\capΓ_{m+1} and Γm+1Γm+2Γ_{m+1}\capΓ_{m+2} consist of three white ve…

2016-09-27abs ↗pdf ↗

A 2-dimensional braid over an oriented surface-knot FF is presented by a graph called a chart on a surface diagram of FF. We consider 2-dimensional braids obtained by an addition of 1-handles equipped with chart loops. We introduce moves of 1-handles with chart loops, called 1-handle moves, and we investigate how muc…

2015-03-02abs ↗pdf ↗

Dance Dance Revolution (DDR) is a popular rhythm-based video game. Players perform steps on a dance platform in synchronization with music as directed by on-screen step charts. While many step charts are available in standardized packs, players may grow tired of existing charts, or wish to dance to a song for which no …

2017-03-20abs ↗pdf ↗

Chart autoencoders learn latent features preserving manifold topology and geometry, with robust denoising capabilities.

problem Learning low-dimensional latent features of high-dimensional data sampled near a manifold.
method Chart autoencoders encode data into latent features on charts, preserving manifold topology and geometry.
result Chart autoencoders achieve a squared generalization error of n2d+2log4nn^{-\frac{2}{d+2}}\log^4 n under proper network architectures.

We give a combinatorial description of closed curves on oriented surfaces in terms of certain permutations, called charts. We describe automorphisms of curves in terms of charts and compute the total number of curves counted with appropriate weights. We also discuss relations between curves, Grothendieck dessins d'enfa…

2004-02-02abs ↗pdf ↗

The paper proves uniform Temple charts and applies them to null distance metrics.

problem Proving the existence of uniform Temple charts and their applications to null distance metrics.
method Constructing uniform Temple charts and estimating gradients of optical functions; applying these charts to study spacetime metrics.
result Proves (N,d^τ)(N, \hat{d}_τ) is a rectifiable metric space and applies a Lorentzian isometry theorem.

This is the first step of the two steps to enumerate the minimal charts with two crossings. For a label mm of a chart ΓΓ we denote by ΓmΓ_m the union of all the edges of label mm and their vertices. For a minimal chart ΓΓ with exactly two crossings, we can show that the two crossings are contained in ΓαΓβΓ_α\capΓ_β f…

2017-04-05abs ↗pdf ↗

In this paper, we find a holomorphic Darboux chart around any immersed noncompact holomorphic Legendrian curve in a complex contact manifold (X,ξ)(X,ξ). By using such a chart, we show that every holomorphic Legendrian immersion RXR\to X from an open Riemann surface can be approximated on relatively compact subsets by holo…

2017-02-02abs ↗pdf ↗

Continuing the study of bounded geometry for Riemannian foliations, begun by Sanguiao, we introduce a chart-free definition of this concept. Our main theorem states that it is equivalent to a condition involving certain normal foliation charts. For this type of charts, it is also shown that the derivatives of the chang…

2013-08-02abs ↗pdf ↗

A new control chart detects shifts in binary data streams quickly and reliably.

problem Early detection of small shifts in multiple binary data streams.
method Cumulative Standardized Binomial EWMA (CSB-EWMA) chart with exact variance derivation.
result Adaptive control limits ensure robust detection across different data distributions.

FinAgent tackles financial trading with multimodal data and advanced AI.

problem Challenges in handling multimodal financial data and limited generalizability.
method Multimodal foundational agent with tool augmentation, dual-level reflection, and diversified memory retrieval.
result Significantly outperforms state-of-the-art baselines in financial trading tasks.