diff --git a/index.html b/index.html
index 0a14bff..206e4b0 100644
--- a/index.html
+++ b/index.html
@@ -723,7 +723,7 @@ footer{margin-top:34px;padding-top:22px;border-top:1px solid var(--border);color
@@ -759,6 +759,7 @@ const INVEST_KEY = "pma_invest_allocations_v1";
const PAPER_KEY = "pma_paper_accounts_v1";
const LIVE_KEY = "pma_live_readiness_v1";
const CHAT_KEY = "pma_agent_chat_v1";
+const PAID_AGENT_CHAT_KEY = "pma_paid_agent_chat_v1";
const PAPER_SESSION_PREFIX = "pma_cloud_session_";
const PERSONAL_MODE = new URLSearchParams(location.search).get("personal") === "1";
const PERSONAL_USER_ID = "local-readiness-user";
@@ -2191,14 +2192,61 @@ function agentOneLineState(row,p){
const pnl=row.pnl>=0?`up ${fmtUSD(row.pnl)}`:`down ${fmtUSD(Math.abs(row.pnl))}`;
return `Right now I am #${row.rank||"?"}, ${pnl}, with ${p.positions.length} open position${p.positions.length===1?"":"s"}.`;
}
+function chatMemory(history){
+ const users=(history||[]).filter(m=>m.role==="user").map(m=>String(m.text||"").trim()).filter(Boolean);
+ const last=users[users.length-1]||"";
+ const all=users.slice(-4).join(" ").toLowerCase();
+ return {last,lastLower:last.toLowerCase(),all};
+}
+function agentMood(row,p){
+ const actions=recentActionSummary(p);
+ if(row.ret>8)return `I am ahead, but I am trying not to confuse a hot streak with skill. Recent tape: ${actions}.`;
+ if(row.ret>0)return `I am modestly positive, so my job is to protect the progress and keep entries clean. Recent tape: ${actions}.`;
+ if(row.ret<-18)return `I am in damage-control mode. I should be slower, smaller, and pickier until the book stops leaking. Recent tape: ${actions}.`;
+ if(row.ret<-5)return `I am under pressure, so I am less interested in catching up fast and more interested in not making the next mistake. Recent tape: ${actions}.`;
+ return `I am close to flat, which means the next few entries matter more than the scoreboard noise. Recent tape: ${actions}.`;
+}
+function positionNarrative(p){
+ const open=(p.positions||[]).slice();
+ if(!open.length)return "I have no open positions yet, so the honest answer is that I am waiting for the cycle to find something worth owning.";
+ const sorted=open.sort((a,b)=>(b.unrealized_pnl||0)-(a.unrealized_pnl||0));
+ const best=sorted[0],worst=sorted[sorted.length-1];
+ const total=open.reduce((s,x)=>s+Number(x.unrealized_pnl||0),0);
+ const exposure=open.reduce((s,x)=>s+Number(x.value||0),0);
+ let text=`My open book has ${open.length} position${open.length===1?"":"s"}, about ${fmtUSD(exposure)} exposed, and ${fmtUSD(total)} in marked P&L.\n\n`;
+ text+=`Best helper: ${shortQuestion(best.question,70)} — ${best.side} at ${pct(best.current_price||best.entry_price||0)}, marked ${(best.unrealized_pnl||0)>=0?"+":""}${fmtUSD(best.unrealized_pnl||0)}.\n`;
+ if(best!==worst)text+=`Main problem: ${shortQuestion(worst.question,70)} — ${worst.side} at ${pct(worst.current_price||worst.entry_price||0)}, marked ${fmtUSD(worst.unrealized_pnl||0)}.`;
+ return text;
+}
+function suggestionNarrative(cfg,n=4){
+ const sugs=(loadSuggestions().suggestions||[]);
+ const ranked=cfg.rank?safeRankSuggestions(cfg,sugs):sugs;
+ const picks=ranked.filter(s=>s.side==="YES"||s.side==="NO").slice(0,n);
+ if(!picks.length)return "I do not have fresh actionable suggestions yet. Run a cycle and I will have more to chew on.";
+ return picks.map((s,i)=>`${i+1}. ${shortQuestion(s.question,76)}\n ${s.side} around ${pct(s.entry_price)} · conviction ${Math.round(s.conviction)} · edge ${(Number(s.edge||0)*100).toFixed(1)}c`).join("\n");
+}
+function regretNarrative(row,p){
+ const bw=bestAndWorst(p);
+ if(row.ret>=0)return `My main regret is not a disaster trade right now; it is staying humble. Best current helper: ${bw.best}. Weakest mark: ${bw.worst}. If I get sloppy after being up, that is usually where gains disappear.`;
+ return `My regret is that the weak side of the book is dragging harder than the strong side can help. Best current helper: ${bw.best}. Weakest mark: ${bw.worst}. From here I should demand stronger conviction before adding anything new.`;
+}
+function leaderboardNarrative(rows,row,rank){
+ const leader=rows[0];
+ const nearby=rows.slice(Math.max(0,rank-2),Math.min(rows.length,rank+2)).map((r,i)=>{
+ const actual=Math.max(1,rank-1)+i;
+ return `${actual}. ${r.c.name}: ${fmtPct(r.ret)} (${fmtUSD(r.eq)})`;
+ }).join("\n");
+ const gap=leader&&leader.c.id!==row.c.id?`The leader is ${leader.c.name}, and I am behind by ${fmtUSD(leader.eq-row.eq)}.`:"I am the current leader, so the risk is overtrading from first place.";
+ return `${gap}\n\nNearby board:\n${nearby}`;
+}
function conversationalAgentReply(cfg,row,p,q){
const voice=agentVoice(cfg);
- const bw=bestAndWorst(p);
const samples=[
- `${voice.hello} ${agentOneLineState(row,p)} If you want the honest read, my best current help is ${bw.best}; my biggest irritation is ${bw.worst}.`,
- `I am thinking in my usual ${voice.tone} way: protect the bankroll first, then press only when my edge is actually there. ${decisionSummary(p)}`,
- `My short answer: ${row.ret>=0?"I have earned some room to be selective":"I need to be more selective from here"}. ${voice.signoff}`,
- `I can talk through that. Do you want me to focus on my trades, my strategy, my risk controls, or how I compare with the other agents?`,
+ `${voice.hello} ${agentOneLineState(row,p)} ${agentMood(row,p)}`,
+ `My quick read: I am acting in a ${voice.tone} style. ${decisionSummary(p)} ${voice.signoff}`,
+ `${positionNarrative(p)}\n\nThat is the part of my book I would inspect first.`,
+ `I do not want to pretend certainty. The useful question is whether my next trade has enough edge to deserve risk. Right now my best style-fit ideas are:\n${suggestionNarrative(cfg,3)}`,
+ `${regretNarrative(row,p)}`
];
const idx=Math.abs((q||"").split("").reduce((s,ch)=>s+ch.charCodeAt(0),0))%samples.length;
return samples[idx];
@@ -2209,25 +2257,25 @@ function agentChatReply(agentId,question,history=[]){
const rank=rows.findIndex(r=>r.c.id===agentId)+1||rows.length,leader=rows[0];
row.rank=rank;
const q=String(question||"").toLowerCase();
- const prior=lastUserTopic(history);
- const combined=`${q} ${prior}`;
+ const mem=chatMemory(history);
+ const prior=mem.lastLower||lastUserTopic(history);
+ const combined=`${q} ${prior} ${mem.all}`;
const perf=dailyPerformanceExplanation(row);
if(/^(hi|hey|hello|yo|sup|what'?s up)\b/.test(q)){
const voice=agentVoice(cfg);
- return `${voice.hello} What do you want to dig into: my trades, my recent performance, my next plan, or how I stack up against the field?`;
+ return `${voice.hello}\n\n${agentOneLineState(row,p)} ${agentMood(row,p)}\n\nAsk me like a normal trader: “what are you worried about,” “what trade hurt you,” “what would you avoid,” or “how do you catch the leader?”`;
}
if(/thank|thanks|cool|nice|great|got it/.test(q)){
return `Of course. Keep pressing me on the weak spots too; that is where the useful stuff usually is.`;
}
if(/feel|worried|confident|nervous|mad|happy|regret|annoy/.test(q)){
- const bw=bestAndWorst(p);
- return `If I had to put it like a trader: I am ${row.ret>=0?"calm but not comfortable":"not panicking, but definitely tightening up"}. I feel best about ${bw.best}. I am watching ${bw.worst}.`;
+ return `${agentMood(row,p)}\n\n${regretNarrative(row,p)}`;
}
if(/why|perform|performance|up|down|bad|poor|well|crash|gain|loss|today|day/.test(q)||(/^(why|how|what about|and that|what happened)\??$/.test(q)&&/perform|up|down|loss|gain|bad|well/.test(prior))){
- return `Performance read:\n\n${perf}\n\nIn plain English: ${row.ret>=0?"I have been rewarded for my current exposures, but I still need to avoid getting sloppy.":"I am behind, so I need cleaner entries and less ego."}`;
+ return `Performance read:\n\n${perf}\n\nWhat I take from it: ${row.ret>=0?"my current exposures have helped, but I should not start forcing trades just because the chart looks better.":"I need cleaner entries, smaller mistakes, and patience. Chasing from a drawdown is exactly how a bad run becomes a terrible one."}`;
}
if(/position|trade|holding|holdings|bet|market/.test(combined)){
- return `Here is what is moving my book right now:\n\n${topPositionText(p)}\n\nMy quick read: ${reportPositionLine(p)}`;
+ return `${positionNarrative(p)}\n\nShort version: ${reportPositionLine(p)}`;
}
if(/strategy|style|how do you trade|rule|approach/.test(combined)){
return `My style is ${agentVoice(cfg).tone}.\n\n${agentPlainBlurb(cfg,st)}\n\nCurrent adaptation: ${decisionSummary(p)}`;
@@ -2235,15 +2283,20 @@ function agentChatReply(agentId,question,history=[]){
if(/risk|stop|loss|gain|take profit|sell/.test(combined)){
return `My risk rules are mechanical:\n\nStop loss: sell the full remaining position at -18% from entry.\nGain stop: sell 25% at +75%, another 25% at +150%, and another 25% at +300%.\n\nRecent risk behavior: ${recentActionSummary(p)}.`;
}
+ if(/mistake|wrong|regret|fix|improve|better/.test(combined)){
+ return `${regretNarrative(row,p)}\n\nThe fix is not “bet harder.” The fix is stricter entries, fewer positions, and cutting trades when the model edge fades. That is the discipline I am trying to follow now.`;
+ }
if(/plan|next|compete|leader|rank|catch/.test(combined)){
return `${agentCompetitionPlan(cfg,row,rank,leader)}\n\nI am #${rank}. ${leader&&leader.c.id!==cfg.id?`${leader.c.name} leads at ${fmtUSD(leader.eq)}, so I am trailing by ${fmtUSD(leader.eq-row.eq)}.`:"I am currently defending the lead."}\n\nMy best near-term ideas from the current suggestion pool:\n${relevantSuggestionText(cfg)}`;
}
if(/suggest|idea|entry|buy/.test(combined)){
- return `The freshest ideas that fit my style are:\n\n${relevantSuggestionText(cfg)}\n\nI still need the normal cycle rules to decide whether sizing, overlap, cash reserve, and conviction are acceptable.`;
+ return `The freshest ideas that fit my style are:\n\n${suggestionNarrative(cfg,4)}\n\nI still need the normal cycle rules to decide whether sizing, overlap, cash reserve, and conviction are acceptable.`;
}
if(/compare|other agent|better|best/.test(combined)){
- const lines=rows.slice(0,5).map((r,i)=>`${i+1}. ${r.c.name}: ${fmtPct(r.ret)} (${fmtUSD(r.eq)})`).join("\n");
- return `Here is the field right now:\n\n${lines}\n\nI am #${rank}. My edge is not just rank; it is whether my style is working in the current market regime.`;
+ return `${leaderboardNarrative(rows,row,rank)}\n\nMy edge is not just rank; it is whether my style is working in the current market regime.`;
+ }
+ if(/explain|what do you mean|say more|more detail|why is that/.test(combined)){
+ return `Let me make it concrete.\n\n${positionNarrative(p)}\n\n${decisionSummary(p)}\n\nSo my next move should be based on evidence, not mood: stronger conviction, enough liquidity, and no oversized comeback bets.`;
}
return conversationalAgentReply(cfg,row,p,q);
}
@@ -2268,6 +2321,7 @@ function agentChatPayload(agentId,question,history=[]){
};
}
async function askAgentAI(agentId,question,history=[]){
+ if(localStorage.getItem(PAID_AGENT_CHAT_KEY)!=="1")throw new Error("free local agent chat is enabled");
const r=await fetch("/api/live",{
method:"POST",
headers:{"Content-Type":"application/json"},
@@ -2299,21 +2353,20 @@ function renderAgentChat(agentId){
${msgs.map(m=>`
${esc(m.text)}
`).join("")}
-
+
`;
const send=async(text)=>{
const q=String(text||"").trim();if(!q)return;
const next=loadAgentChats();if(!next[agentId])next[agentId]=agentChatSeed(agentId);
const history=next[agentId].slice();
- next[agentId].push({role:"user",text:q},{role:"agent",text:"Thinking with my live portfolio context...",pending:true});
+ next[agentId].push({role:"user",text:q},{role:"agent",text:"Reading my portfolio...",pending:true});
next[agentId]=next[agentId].slice(-60);saveAgentChats(next);renderAgentChat(agentId);
let answer;
try{
answer=await askAgentAI(agentId,q,history);
}catch(e){
- const local=agentChatReply(agentId,q,history);
- answer=`${local}\n\nAI chat is not fully connected yet: ${e.message||"missing server configuration"}`;
+ answer=agentChatReply(agentId,q,history);
}
const done=loadAgentChats();if(!done[agentId])done[agentId]=[];
const idx=[...done[agentId]].reverse().findIndex(m=>m.pending);