Free RSI API
Data, Limits & Python免费 RSI API
数据、限制与 Python 接入

TL;DR概览

Free RSI API response fields and parameters免费 RSI API 的响应字段与参数

An RSI indicator API returns a momentum oscillator, normally on a 0–100 scale, derived from average gains and losses over a lookback period. Fourteen periods is common, but interval, price series, smoothing, precision, and warm-up behavior differ. Treat each provider’s documentation as authoritative.

RSI 技术指标 API 通常根据一个回看周期内的平均上涨与平均下跌计算 0–100 区间的动量振荡值。14 周期较常见，但时间间隔、价格序列、平滑方法、精度和预热期处理各不相同，应以供应商文档为准。

How to compare free technical indicator APIs如何比较免费技术指标 API

Free RSI API options versus calculating RSI locally免费 RSI 接口与本地计算方案怎么选

A documented RSI endpoint is convenient, but it is not automatically the cheapest or most reproducible choice. If the application already retrieves completed OHLCV bars, calculating RSI locally avoids an extra request per symbol and gives full control over smoothing, seeding, and revisions. A provider endpoint is more attractive when you need only a few values, want one normalized response across asset classes, or do not want to maintain indicator code.

有文档的 RSI 端点调用方便，但不一定成本最低，也不一定最容易复现。如果应用本来就会获取已完成的 OHLCV K 线，本地计算可以避免为每个标的额外调用一次接口，并能完全控制平滑、初始值和历史修订。若只需要少量数值、希望多个资产类别使用统一响应，或不想维护指标代码，服务商端点更有吸引力。

Use a numerical fixture to prove two RSI implementations agree用固定数值样本验证两套 RSI 实现是否一致

Save at least 40 completed closes containing a flat segment, a one-direction run, a gap, and one adjusted-price event. Request a 14-period close-based RSI from the provider, then recalculate the same timestamps locally. Compare the first non-null timestamp, seed window, rounding, and every later value within a documented tolerance. If disagreement begins only after a corporate action or session gap, investigate the price series and adjustment rules before blaming the formula.

保存至少 40 根已完成的收盘价，其中应包含横盘区间、单边走势、缺失周期和一次复权事件。向服务商请求基于收盘价的 14 周期 RSI，再对完全相同的时间戳进行本地复算。比较首个非空值的时间、初始窗口、舍入规则，以及此后每个数值是否落在预先记录的容差内。如果差异只在公司行动或交易时段缺口后出现，应先检查价格序列和复权规则，而不是直接判断公式错误。

RSI API for Python: a safe integration pathPython 获取 RSI 数据：安全接入步骤

Use a small local implementation as a numerical fixture for the provider response. The function below applies Wilder’s recursive smoothing, preserves the warm-up rows as None, and defines the flat, all-gain, and all-loss boundaries explicitly.

可以使用一份精简的本地实现作为供应商响应的数值基准。下面的函数采用 Wilder 递归平滑，把预热区间保留为 None，并明确处理横盘、全部上涨和全部下跌三种边界状态。

def wilder_rsi(closes: list[float], period: int = 14) -> list[float | None]:
    if period < 2:
        raise ValueError("period must be at least 2")
    if any(value is None or value <= 0 for value in closes):
        raise ValueError("closes must contain positive completed-bar values")
    if len(closes) < period + 1:
        return [None] * len(closes)

    changes = [current - previous for previous, current in zip(closes, closes[1:])]
    gains = [max(change, 0.0) for change in changes]
    losses = [max(-change, 0.0) for change in changes]
    average_gain = sum(gains[:period]) / period
    average_loss = sum(losses[:period]) / period
    values: list[float | None] = [None] * period

    def score(gain: float, loss: float) -> float:
        if gain == 0 and loss == 0:
            return 50.0
        if loss == 0:
            return 100.0
        if gain == 0:
            return 0.0
        relative_strength = gain / loss
        return 100.0 - (100.0 / (1.0 + relative_strength))

    values.append(score(average_gain, average_loss))
    for gain, loss in zip(gains[period:], losses[period:]):
        average_gain = ((period - 1) * average_gain + gain) / period
        average_loss = ((period - 1) * average_loss + loss) / period
        values.append(score(average_gain, average_loss))
    return values

Use QVeris to discover RSI API capabilities用 QVeris 发现 RSI API 能力

• Open the QVeris tool details for RSI and technical-indicator capabilities.
• Inspect symbols, intervals, calculation parameters, response schema, provider identity, and limitations before calling.
• Use the QVeris documentation to connect the selected capability to an agent workflow.

• 打开 QVeris 技术指标工具详情，核对 RSI 参数与返回结果。
• 调用前检查标的、周期、计算参数、响应结构、供应商身份和公开限制。
• 参考 QVeris 文档，把选定能力接入 Agent 工作流。

Free RSI API FAQ免费 RSI API 常见问题

Authoritative references and next steps参考资料与接入下一步