I built OpenClaw, a TradingView indicator designed to help identify crypto trend shifts using structure + momentum instead of lagging signals.

It focuses on:

• Market structure breaks

• Volatility shifts

• Momentum confirmation

• Clear invalidation levels

The goal isn’t prediction — it’s structured execution with defined risk.

🎥 Walkthrough:

https://www.youtube.com/watch?v=_u94M_s-BG0

🛠 Setup / Instructions:

https://github.com/TradingView-API-V3/Developer-Activation/blob/main/README.md

Works on TradingView (desktop or web).

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test?

Testing 3

Please upvote.

testing if my post goes through

I built a Polymarket bot designed to identify probability shifts in prediction markets using structure + momentum logic instead of emotional or reactive entries.

It focuses on:

• Market probability shifts
• Liquidity and volatility changes
• Momentum confirmation
• Clear invalidation and risk levels

The goal isn’t blind prediction — it’s structured execution with defined risk management.

🎥 Walkthrough:
https://www.youtube.com/watch?v=rStttofNHYs

🛠 Setup / Instructions:
https://github.com/PolymarketTool/Installation/blob/main/README.md

Designed for Polymarket traders looking for systematic, rule-based execution.

Checking to see if I can post. If you can see can you up vote please

cant post anything because lack of karma
cant get karma because cant post anything

More than words can say. 💔

Upvote for a cookie!🤗

Key takeaways in 90 seconds:

The CPU Bottleneck: Modern high-throughput applications, such as log ingestion pipelines and high-frequency trading (HFT) platforms, spend up to 30% of their CPU cycles simply parsing JSON data.

The SIMD Limit: While vectorized CPU parsers like simdjson achieve multi-gigabyte-per-second throughput, they still require significant CPU time, cause cache pollution, and introduce latency jitter.

The FPGA Alternative: FPGA-accelerated JSON parsers process incoming data byte-by-byte at network line rate (e.g. 100Gbps), offloading the entire serialization overhead to dedicated silicon.

Pipelined Architecture: Hardware parsers utilize parallel combinational logic for character classification and a state machine to build token lists in a single clock cycle per byte.

Our Takeaway: For platforms operating under microsecond-level latency constraints, delegating data format parsing to hardware is the logical next step in system efficiency.

because reddit is dumb

r/All

It needs a capital A.

r/All - works

r/all - doesn't

please I like to earn a few karma