forked from animatedread/Warrior_EA
f8a15c7b50
- Implemented `catalog.py` to define instrument metadata and price scaling checks. - Developed `sqx.py` for decoding SQX tick .dat files, handling scaling and volume adjustments. - Created `sqxbars.py` to decode SQX bar files, ensuring price integrity against known ranges. - Introduced `volume_gate.py` for relative volume analysis on D1 bars, facilitating backtesting strategies.
3 lines
796 B
CSV
3 lines
796 B
CSV
<!DOCTYPE html><html><head><meta charset="utf-8"><meta name="robots" content="noindex,nofollow"></head><body><noscript>This site requires JavaScript to verify your browser. Please enable JavaScript and reload.</noscript><script nonce="Mph51rAga-izcgRx7KfhCw">
|
|
(async()=>{const c="AAAAAGrIR-FU3Owpta2VVZsbjIf_f3XDwUYhnV-AYZ1sLDM5yVCMOVJ0keM",d=4,t="0".repeat(d),e=new TextEncoder;let n=0;while(1){const h=await crypto.subtle.digest("SHA-256",e.encode(c+n)),x=Array.from(new Uint8Array(h)).map(b=>b.toString(16).padStart(2,"0")).join("");if(x.startsWith(t))break;n++}const r=await fetch("/__verify",{method:"POST",headers:{"Content-Type":"application/x-www-form-urlencoded"},body:"c="+encodeURIComponent(c)+"&n="+n,credentials:"same-origin"});if(r.ok)location.reload()})();
|
|
</script></body></html>
|