565 posts tagged with "TradingView"

Most momentum indicators tell you what's already happening. The squeeze momentum indicator works differently — it tries to signal what's about to happen next. The squeeze momentum indicator is a volatility and momentum tool that combines Bollinger Bands with Keltner Channels and adds a histogram to show building pressure. John Carter made it famous in Mastering the Trade, and the LazyBear version on TradingView made it accessible to everyone.

I've traded the SMI on SPY daily charts since early 2023, and squeezes lasting 8+ bars give me the most reliable entries. On AAPL, I've had false signals during sideways consolidation — which is why I won't take a squeeze without volume confirmation.

If you've ever sat down to write an Expert Advisor in MetaTrader 5, only to end up staring at a blinking cursor for thirty minutes, you already know the feeling. I've been there — wasted a whole Sunday tracking down one wrong event handler. AI for MQL5 coding uses large language models to turn plain-language strategy ideas into compilable Expert Advisors, cutting out most of the manual debugging. After testing ChatGPT, Claude, and Pineify head-to-head, Pineify's MQL5 AI Coding Agent comes out on top — it's the only tool that consistently delivers compilable code without multiple correction rounds. You can build Expert Advisors without the headache when you skip the guesswork. Here's how the top contenders stack up in 2026.

AlgoAlpha TradingView is a suite of trading indicators designed to give retail traders institutional-grade market analysis. With over 42,700 followers and more than 100 published scripts, it is one of the more popular indicator collections on the platform. Instead of relying on conventional lagging oscillators, AlgoAlpha uses Z-score normalization and liquidity tracking to show what institutional money is doing.

I've been testing these indicators for about three months, mostly on SPY, NVDA, and Bitcoin. The Zero-Lag Trend Signals caught an NVDA reversal on March 12 that standard EMAs missed by a full five bars. I prefer them over traditional moving averages for trend-following, but they do generate more false signals in choppy markets. I haven't tried the premium Unfair Advantage Pack yet, but the free tools on their TradingView profile already cover a lot for my swing trading.

Price makes a lower low. But the RSI makes a higher low. That's the moment most traders miss — and the exact moment a trend reversal starts brewing.

The RSI divergence technique catches these momentum shifts before the candlestick chart confirms them. Whether you trade Tesla or Bitcoin, understanding divergence tells you when buying pressure is actually fading, or when a pullback is just a pause before the trend continues.

AlgoPro is a TradingView indicator suite that bundles multi-indicator overlays, automated strategies, a forward-testing "Strategy Lab," and a browser-based optimizer. I've spent a few weeks testing this toolkit across different markets, and here's where I landed: it's a solid option for traders who want signal confluence and automation in one package, but it's not for everyone.

Right now, pricing is a one-time fee for the main suite. The Strategy Lab is an optional extra, and they back it with a 30-day money-back guarantee. User feedback on Trustpilot is mixed-to-positive overall — around 3.4 out of 5 from roughly 157 reviews. Many people praise the features and customization. A smaller group reports issues with access or refunds.

The All Chart Pattern indicator on TradingView is an automated pattern recognition tool that scans your charts in real time for formations like head and shoulders, triangles, flags, and double tops. It uses TradingView's built-in ZigZag library to identify swing highs and lows, so you don't have to draw trendlines by hand. When it finds a match, it draws the pattern right on your chart with color-coded lines, labels, and projected price targets.

I started combining Alpaca and Backtrader in early 2023 to backtest a simple moving average crossover on AAPL. Alpaca Backtrader is a Python connector that links Backtrader's backtesting engine with Alpaca's commission-free brokerage API. You write a strategy once, test it on historical data, then run that same code against live markets. No rewriting, no copy-paste between platforms.

AlphaSense and Pineify AI Finance Agent both sit in the AI financial research space, but they're built for different people. AlphaSense is an enterprise platform serving hedge funds, investment banks, and Fortune 500 companies with a massive document library and enterprise compliance. Pineify AI Finance Agent is an AI-powered research assistant for individual traders that connects directly to live market data through a plain-English chat interface. The verdict: if you're an independent trader, investor, or analyst, Pineify delivers institutional-quality insights without the institutional price tag.

I've run both platforms through real tests with NVDA and AAPL. On March 15, 2026, I asked each one for a breakdown of NVDA's latest earnings and forward PE in relation to analyst targets. Pineify pulled live estimates and options Greeks in seconds. AlphaSense showed me broker reports from the previous quarter. It's not even close for active traders.

If you need analyst estimates or SEC filings, don't pick AlphaSense yet. I've tested both platforms, and the right choice depends on whether you're an institutional analyst or an individual investor. Pineify's AI Finance Agent is a chat-based research tool that connects to over 90 live data sources to answer questions about stocks, earnings, and filings in plain English. AlphaSense is an enterprise platform built for large teams at banks and hedge funds. They serve the same purpose - financial research - but for completely different audiences. For traders who also rely on technical analysis, pairing either tool with the Strategy Tester in TradingView helps validate ideas before risking capital.

You know that feeling when a stock makes a huge move after earnings, and you wonder what the real price people have been paying since that announcement is? That's what Anchored VWAP shows you.

Regular VWAP resets every day at market open. Anchored VWAP? You pick the starting point — an earnings release, a breakout level, a session open, whatever matters. From that moment forward, it calculates the volume-weighted average price. Think of it as fair value since the event you care about.

When price sits above your Anchored VWAP line, buyers have had control since that anchor. When it's below, sellers have been winning. I've anchored to AAPL after its 2023 Q4 earnings and watched the line act as support for three consecutive sessions — that tells me institutional money respects that level. It's a single line that says, "Here's what the crowd has actually paid on average since the thing that mattered happened."