[Tool: skill_view]
{"success": true, "name": "openalgo-bot-operations", "description": "Live operations for the OpenAlgo trading bots on this VPS — verifying broker state (orderbook/positionbook/MCP tools), OpenAlgo REST API field quirks that silently break bots, and per-bot-system day-state conventions. Use whenever a bot mis-fires, double-enters, or its position/orders look wrong.\n", "tags": ["openalgo", "trading-bots", "debugging", "mcp", "positionbook"], "related_skills": [], "content": "---\nname: openalgo-bot-operations\ndescription: |\n Live operations for the OpenAlgo trading bots on this VPS — verifying broker state (orderbook/positionbook/MCP tools), OpenAlgo REST API field quirks that silently break bots, and per-bot-system day-state conventions. Use whenever a bot mis-fires, double-enters, or its position/orders look wrong.\ntags:\n - openalgo\n - trading-bots\n - debugging\n - mcp\n - positionbook\n---\n\n# OpenAlgo Bot Operations\n\n## 0. \"Are the bots working?\" — 60-second health check (verified Jul 28, 2026)\n\nRun `scripts/bot_health_check.sh` first (services + last poll line per bot + broker pings), or manually:\n\n1. Services: `systemctl list-units --all 'renko-vidya-bot@*' 'daily-vidya-bot@*' 'crossover-lipi-vidya@*' 'google-daily-lipi-vidya@*'`\n - All instances stopped at the SAME second in the journal with `Result=success` = deliberate mass stop (dashboard STOP or systemctl), NOT a crash. Report them as \"stopped on purpose\", not \"failed\".\n2. Liveness: every bot polls ~60s, so a fresh POLL/Monitoring line in its log = healthy. Log paths:\n - renko: `/home/ubuntu/bots/renko_vidya_bot/logs/bot_<sym>.log`\n - daily_vidya: `/home/ubuntu/bots/daily_vidya_bot/mdocument/logs/dvbot_<sym>.log`\n - crossover_lipi: `/home/ubuntu/bots/crossover_lipi_vidya/mdocument/logs/clv_<sym>.log`\n3. Brokers: POST `{BROKER_URLS[b]}/api/v1/ping` with `BROKER_API_KEYS[b]` (sys.path `/var/www/openalgo-chart/api`). All 3 (flattrade/shoonya/kotak) must pong — a healthy bot still can't trade if its ORDER_BROKER is offline. Renko bots are hard-wired to flattrade (`ORDER_BROKER` in config.py); the Jul 23 flattrade outage is why the 13 equity instances stayed stopped after the stateless rewrite.\n\nDashboard ↔ systemd wiring (bot.openalgo.theworkpc.com, port 5100):\n- Registry: `/home/ubuntu/bots/dashboard/bot_systems.yaml` — 4 systems; each tab row maps 1:1 to `<service_prefix>@<symbol>.service`.\n- START button flow: writes mode file → `sudo systemctl start` → on-demand data fill. Passwordless sudo via `/etc/sudoers.d/renko-vidya-bots` (dashboard runs as ubuntu). START from the UI and `systemctl start` from CLI are equivalent.\n- START popup modes: **\"Wait for crossover\" = safe** (monitor-only until a fresh crossover). **\"Order now\" = DANGER**: acts on the LAST crossover even if hours stale and places a REAL order immediately — proven Jul 23 when a test start fired a live ULTRACEMCO CE within seconds. Always recommend \"Wait for
... [21498 chars total, truncated]
2026-07-30 10:43
TOOL (hermes, k3)
[Tool: skill_view]
{"success": true, "name": "renko-vidya-bot", "description": "Renko VIDYA trading bot system — dashboard, config, signal engine, order placement. Covers architecture, pitfalls, and adding new features.", "tags": [], "related_skills": [], "content": "---\nname: renko-vidya-bot\ndescription: Renko VIDYA trading bot system — dashboard, config, signal engine, order placement. Covers architecture, pitfalls, and adding new features.\ntriggers:\n - renko vidya bot\n - renko-vidya-dashboard\n - bot dashboard\n - symbols.yaml brick_size\n - renko_vidya_bot\n---\n\n# Renko VIDYA Bot System\n\nTrading bot that uses Renko bricks + VIDYA/SMA crossover signals to trade NSE/NSE_INDEX options and MCX futures via OpenAlgo brokers.\n\n## Architecture (Jul 23, 2026 — Stateless Systemd — IMPLEMENTED)\n\nThree independent layers. See [references/stateless-systemd-redesign.md](references/stateless-systemd-redesign.md) for full design.\n\n- **Data Layer**: cron `incremental_filler.py` every 5min → `<symbol>_5min.db` (read-only by bots and dashboard)\n- **Bot Layer**: `renko-vidya-bot@<name>.service` — one systemd service per symbol. Stateless: no state file, reads DB + broker every 60s. `Restart=on-failure` for auto-restart.\n- **Dashboard Layer**: `renko-vidya-dashboard.service` — pure info + control. START/STOP = systemctl calls. No bot threads, no state files, no watchdog.\n\n### Broker Login Layer (verified Jul 26, 2026)\n\nBots never hold broker credentials — everything goes through three OpenAlgo gunicorn services (`openalgo-{flattrade,shoonya,kotak}-*.service`), each with its own auth DB. Morning login: user completes broker OAuth → token exchanged (manual path: `/home/ubuntu/scripts/update_flattrade_token.py <request_code>`) → stored encrypted in openalgo.db. `token-bridge-flattrade.service` / `token-bridge-shoonya.service` watch the auth DB and restart the matching OpenAlgo instance on token change. Cron 5:55 AM Mon–Fri downloads the Flattrade master contract (`download_flattrade_master_contract.py`). `/home/ubuntu/scripts/check_flattrade_auth.py` prints ACTIVE_TOKENS count. Bots + fillers authenticate to OpenAlgo with the static API keys in `broker_config.py` — these survive the daily token refresh, so bots never need re-login.\n\nKey paths:\n- Bot code: `/home/ubuntu/bots/renko_vidya_bot/` — bot.py (stateless), chart_api.py (chart API wrapper), signal_engine.py (DEAD CODE — kept for reference), config.py, dashboard.py\n- Main doc: `/home/ubuntu/bots/renko_vidya_bot/RENKO_VIDYA_BOT.md` — updated Jul 27, 2026 PM to reflect chart API rewiring (data source sections, file structure, contract auto-roll). This skill + bot.py docstring remain the current truth for operational details\n- Dashboard: `/home/ubuntu/bots/dashboard/` — dashboard.py, bot_systems.yaml, templates/\n- Symbols config: `/var/www/openalgo-chart/api/symbols.yaml`\n- Logs: `/home/ubuntu/bots/renko_vidya_bot/logs/bot_<name>.log`\n- Service template: `/etc/systemd/system/renko
... [50000 chars total, truncated]
2026-07-30 10:43
ASSISTANT (hermes, k3)
Good topic. Here's my read on where HITL actually pays off in your setup — the current bots' failures are almost never "bad signal", they're "bot acted and nobody saw it" (stale-crossover entries, margin-rejected orders the bot thought filled, orphan positions overnight). Human-in-the-loop fixes exactly that class.
Ideas, in increasing order of automation removed:
1. **Approval queue** — bot detects signal but doesn't order. It posts a proposal card (symbol, direction, strike, qty, limit price, margin needed, why the signal fired). You tap Approve/Reject. Nothing fires without you. Auto-expires in N minutes.
2. **Telegram approve/reject buttons** — same queue, but the card lands in Telegram with inline buttons. You already get Telegram alerts; this closes the loop so approval works from your phone without opening the dashboard.
3. **Unified broker-truth board** — one screen: actual positions (broker positionbook across flattrade/shoonya/kotak), today's orders, day P&L, funds/margin per broker. This is the "what is really happening right now" layer the current dashboard lacks — it shows bot state, not broker truth.
4. **Per-symbol autonomy dial** — each symbol gets one of: FULL AUTO / APPROVAL REQUIRED / MONITOR ONLY. Symbols you trust (crude) run free; new or flaky ones need your tap. This lets you graduate bots instead of choosing one mode for the whole fleet.
5. **Kill switch + flatten** — one button: stop all bots AND optionally square off everything. Today's mass-stop leaves orphan positions (Jul 23 lesson).
My instinct: #1 + #2 is the core (approval where you actually are — your phone), #3 makes the approval decision informed, #4 keeps it from slowing down proven symbols.
Two questions before we go deeper:
1. Where should approvals live — Telegram buttons, dashboard, or both?
2. Should the new dashboard replace bot.openalgo eventually, or stay strictly the HITL/trading layer while the old one stays the monitoring layer?
2026-07-30 10:44
USER (hermes, k3)
i did not mean HITL that way - i am fine with automated trading - otherwise i will be on screen most of the day - however i agree that some shortcomings will be removed when they happen like the today - few things in my mind wrt to current bot - we are dealing with 3 brokers so we started using dropdown or radio button - that is HITL - we have chart api giving us only fixed numbr of data points - what if we use it in dropdown format - like for crossover - we have dropdown - which item cross over - or if new startegy is to be built then conditions in free field - what fields we like to have on that dashboard - and the bot should be fast not slow like current one which pulls all the data points at once which is not even seen on screen
2026-07-30 10:49
ASSISTANT (hermes, k3)
Got it — HITL = you configure and steer from the dashboard, bots stay fully automatic. The dashboard becomes the control surface, not an approval gate. That fits your setup much better.
On your three points:
**1. Broker dropdown — generalize what GLV already has**
GLV's broker dropdown (shoonya/flattrade/kotak → yaml + restart-if-running) is the proven pattern. New dashboard makes it standard on every symbol row. Add: show funds/margin for the selected broker next to it, so you know before switching whether that broker can actually take the order (crude's COM wallet problem would have been visible instantly).
**2. Signal dropdown — this is your state-change boolean, generalized**
Your Jul 28 insight (store one boolean, act when it flips) works for ANY pair of series, not just SMA vs VIDYA. The chart API already serves multiple series. So the dropdown is just "which two lines cross":
- SMA × VIDYA (current renko signal)
- PRICE × VIDYA
- PRICE × LIPI anchor (daily boundary)
- RENKO close × VIDYA
Bot logic stays identical: fetch both values each 60s poll, compare, flip = signal. You change the dropdown, bot reads config next poll — no restart, no code change. New crossover idea = one new option in the dropdown, not a new bot.
**3. Free-field conditions — I'd push back slightly here**
Raw free text means eval'ing code — fragile and dangerous on a live trading box. Safer version: structured condition rows — [field] [operator] [value], joined with AND. Example: `price > anchor` AND `sma > vidya` AND `zone == LONG`. Same expressive power for anything you'd actually test, zero code injection. Conditions reference only fields the chart API serves — that keeps the "what I see is what I get" rule intact.
**4. Speed — fix is architectural, not tuning**
Current dashboard is slow because /api/status makes 41 serial broker calls before rendering anything — including data you never look at. New design:
- Page renders instantly from local data (chart API is loopback, sub-second)
- Each row lazy-loads its own broker data only when visible/expanded
- Broker positionbook cached once per refresh cycle, shared across rows
- Nothing on the critical path waits for a broker call
**Proposed field set per row (flat columns, your convention):**
symbol | broker dropdown | signal dropdown | line A value | line B value | state (above/below) | position (broker truth) | day P&L | mode | start/stop
One question to shape this: should a row's config (broker + signal + conditions) be read by the bot EVERY poll from a shared file, so dashboard edits apply live with zero restarts? That'd make the dashboard truly the single control surface.
2026-07-30 10:50
USER (hermes, k3)
we can always have start stop waiting button which defines the event so we do not come to it every second
2026-07-30 10:52
ASSISTANT (hermes, k3)
Yes — that's cleaner. Config becomes an event, not a stream. The bot never reads config mid-run; the buttons define the only moments config matters:
1. **STOPPED** — dead process. You edit broker/signal/conditions freely, nothing happens.
2. **WAITING** — bot runs, polls every 60s, computes state, logs "would have entered/exited here" — but places NO orders. This is how you test a new dropdown choice safely for a day before trusting it.
3. **RUNNING** — bot trades. Config is the snapshot from the moment you pressed Start.
Consequences, all good:
- Bot loop stays dead simple — no config re-read logic, no file-watch, no mid-run surprises.
- Changing a running bot is deliberate: you press Stop, edit, Start. The event boundary is explicit, so "did my change apply?" is never ambiguous — it applies at Start, period.
- WAITING doubles as the safe-start mode (replaces the old wait_crossover/order_now popup complexity): Start in WAITING, watch one signal pass in the log, then flip to RUNNING.
One refinement to consider: on a RUNNING bot, dashboard edits could show a small "pending — applies on next Start" tag on that row, so you never think a live edit did something it didn't.
This also makes the systemd model we already have fit naturally — Start/Stop = systemctl, WAITING vs RUNNING = the mode file mechanism that already exists, just extended to carry the signal/broker/conditions snapshot instead of only order_now/wait_crossover.
Want me to write this up as a proper plan (fields, state machine, chart-API endpoints needed, dashboard skeleton) in .hermes/plans/, or keep shaping ideas first?
2026-07-30 10:52
USER (hermes, k3)
lets first know what is available in chart api - give me a list
2026-07-30 12:51
ASSISTANT (hermes, k3)
2026-07-30 12:51
TOOL (hermes, k3)
[Tool: search_files]
{"total_count": 37, "matches_format": "path-grouped: each file path on its own line, followed by indented '<line>: <content>' rows for matches in that file", "matches_text": "/var/www/openalgo-chart/api/app.py\n 523: @app.route('/api/active-contract/<underlying>')\n 565: @app.route('/api/symbols', methods=['GET'])\n 586: @app.route('/api/symbols', methods=['DELETE'])\n 617: @app.route('/api/symbols', methods=['POST'])\n 664: @app.route('/api/<symbol>')\n 754: @app.route('/api/5min-fill/<symbol>', methods=['GET', 'POST'])\n 855: @app.route('/api/daily-vidya/<symbol>')\n 889: @app.route('/api/renko-signal/<symbol>')\n 1171: @app.route('/api/lipi-vidya-signal/<symbol>')\n 1324: @app.route('/api/trades/<symbol>')\n 1334: @app.route('/api/health')\n 1343: @app.route('/api/')\n/var/www/openalgo-chart/api/app.py.bak\n 523: @app.route('/api/active-contract/<underlying>')\n 565: @app.route('/api/symbols', methods=['GET'])\n 586: @app.route('/api/symbols', methods=['DELETE'])\n 617: @app.route('/api/symbols', methods=['POST'])\n 664: @app.route('/api/<symbol>')\n 759: @app.route('/api/5min-fill/<symbol>', methods=['GET', 'POST'])\n 794: @app.route('/api/daily-vidya/<symbol>')\n 1062: @app.route('/api/lipi-vidya-signal/<symbol>')\n 1215: @app.route('/api/trades/<symbol>')\n 1225: @app.route('/api/health')\n 1234: @app.route('/api/')\n/var/www/openalgo-chart/api/venv/lib/python3.13/site-packages/flask_cors-6.0.2.dist-info/METADATA\n 70: @app.route(\"/\")\n 85: @app.route(\"/api/v1/users\")\n 93: Simply add ``@cross_origin()`` below a call to Flask's ``@app.route(..)`` to allow CORS on a given route.\n 98: @app.route(\"/\")\n/var/www/openalgo-chart/api/venv/lib/python3.13/site-packages/flask/sansio/app.py\n 626: ' example: @app.route(..., methods=[\"POST\"])'\n/var/www/openalgo-chart/api/venv/lib/python3.13/site-packages/flask/sansio/scaffold.py\n 343: @app.route(\"/\")\n 382: @app.route(\"/\")\n/var/www/openalgo-chart/api/venv/lib/python3.13/site-packages/flask/app.py\n 1020: :meth:`@app.route() <route>`, and usually the same name as the\n/var/www/openalgo-chart/api/venv/lib/python3.13/site-packages/flask/helpers.py\n 77: @app.get(\"/stream\")\n 93: @app.get(\"/stream\")\n 542: @app.route(\"/uploads/<path:name>\")\n/var/www/openalgo-chart/api/venv/lib/python3.13/site-packages/flask/ctx.py\n 126: @app.route('/')\n 167: @app.route('/')\n/var/www/openalgo-chart/api/venv/lib/python3.13/site-packages/flask-3.1.2.dist-info/METADATA\n 65: @app.route(\"/\")"}
2026-07-30 12:51
TOOL (hermes, k3)
[Tool: terminal]
{"output": "{\"message\":\"5min DB not found\",\"status\":\"error\",\"symbol\":\"NIFTY\"}\n\n---\n{\"count\":0,\"data\":[],\"source\":\"5min_db_renko\",\"source_type\":\"5min_db\",\"status\":\"success\",\"symbol\":\"NIFTY\"}", "exit_code": 0, "error": null}
[Tool: read_file]
{"content": "855|@app.route('/api/daily-vidya/<symbol>')\n856|def get_daily_vidya(symbol):\n857| \"\"\"\n858| Get daily fixed VIDYA values for chart overlay.\n859| \n860| Computes VIDYA from the 5min DB (the single source of truth) — \n861| builds renko bricks, computes VIDYA, outputs one value per day.\n862| No broker daily candle fetch. Same data as the bots and dashboard.\n863| \n864| Query params:\n865| exchange: NSE, NFO, etc (auto-detected if not provided)\n866| period: VIDYA period (default: 20)\n867| smoothing: VIDYA smoothing factor (default: 0.2)\n868| \"\"\"\n869| exchange = request.args.get('exchange', detect_exchange(symbol))\n870| period = int(request.args.get('period', 20))\n871| smoothing = float(request.args.get('smoothing', 0.2))\n872| \n873| # Compute from 5min DB\n874| data = compute_daily_vidya_from_5min(symbol, exchange, period, smoothing)\n875| \n876| return jsonify({\n877| 'status': 'success',\n878| 'symbol': symbol.upper(),\n879| 'source': '5min_db_renko',\n880| 'source_type': '5min_db',\n881| 'count': len(data),\n882| 'data': data\n883| })\n884|\n885|# ---------------------------------------------------------------------------\n886|# Renko + VIDYA Signal endpoint (for trading bots)\n887|# ---------------------------------------------------------------------------\n888|\n889|@app.route('/api/renko-signal/<symbol>')\n890|def get_renko_signal(symbol):\n891| \"\"\"\n892| ONE endpoint that returns EVERYTHING the bots need — computed from the\n893| same 5-min DB the chart renders, so \"what I see is what I get\".\n894| \"\"\"\n895| exchange = request.args.get('exchange', detect_exchange(symbol))\n896| period = int(request.args.get('period', 20))\n897| smoothing = float(request.args.get('smoothing', 0.2))\n898|\n899| brick_size = 2.0\n900| try:\n901| with open(SYMBOLS_YAML) as f:\n902| import yaml as _yaml\n903| for s in _yaml.safe_load(f).get('symbols', []):\n904| if s['name'].upper() == symbol.upper():\n905| brick_size = float(s.get('brick_size', 2))\n906| period = int(s.get('vidya_period', period))\n907| smoothing = float(s.get('vidya_smooth', smoothing))\n908| break\n909| except Exception:\n910| pass\n911| brick_size = float(request.args.get('brick_size', brick_size))\n912|\n913| safe_name = re.sub(r'[^a-z0-9]', '', symbol.lower())\n914| db_5min = os.path.join(CHART_DBS_DIR, f\"{safe_name}_5min.db\")\n915|\n916| if not os.path.exists(db_5min):\n917| return jsonify({'status': 'error', 'symbol': symbol.upper(),\n918| 'message': '5min DB not found'}), 404\n919|\n920| conn = sqlite3.connect(db_5min, timeout=10)\n921| rows = conn.execute(\"SELECT ts, close, high, low FROM candles_5min ORDER BY t
... [5357 chars total, truncated]
2026-07-30 12:52
ASSISTANT (hermes, k3)
2026-07-30 12:52
TOOL (hermes, k3)
[Tool: read_file]
{"content": "975| bricks_summary.append({\n976| 'date': b['date'], 'direction': b['direction'],\n977| 'open': round(b['open'], 2), 'high': round(b['high'], 2),\n978| 'low': round(b['low'], 2), 'close': round(b['close'], 2),\n979| })\n980|\n981| price = round(closes[-1], 2)\n982| ts = dates[-1]\n983|\n984| return jsonify({\n985| 'status': 'success', 'symbol': symbol.upper(), 'exchange': exchange,\n986| 'source': '5min_db', 'price': price, 'ts': ts,\n987| 'bricks': bricks_summary, 'brick_count': len(bricks),\n988| 'vidya': round(last_vidya, 2) if last_vidya is not None else None,\n989| 'vidya_prev': round(prev_vidya, 2) if prev_vidya is not None else None,\n990| 'vidya_rising': (last_vidya > prev_vidya) if last_vidya and prev_vidya else None,\n991| 'sma': sma2, 'renko_dir': renko_dir, 'renko_close': renko_close,\n992| 'crossover': crossover, 'crossover_ts': crossover_ts,\n993| 'timestamp': datetime.datetime.now().isoformat(),\n994| })\n995|\n996|\n997|def build_renko_bricks(closes, dates, brick_size=10):\n998| \"\"\"\n999| Build close-based Renko bricks from daily closes.\n1000| Returns list of dicts: {date, brick_index, open, high, low, close, direction}.\n1001| Starting price is floored to brick grid to match the chart frontend's calculateRenko.\n1002| \"\"\"\n1003| import math\n1004| if not closes:\n1005| return []\n1006|\n1007| bricks = []\n1008| current_price = math.floor(closes[0] / brick_size) * brick_size\n1009| direction = None\n1010| brick_index = 0\n1011|\n1012| for i, close in enumerate(closes):\n1013| date = dates[i] if i < len(dates) else dates[-1]\n1014|\n1015| if direction is None:\n1016| while close >= current_price + brick_size:\n1017| bricks.append({\n1018| 'date': date, 'brick_index': brick_index,\n1019| 'open': current_price, 'high': current_price + brick_size,\n1020| 'low': current_price, 'close': current_price + brick_size,\n1021| 'direction': 'up',\n1022| })\n1023| current_price += brick_size\n1024| brick_index += 1\n1025| direction = 'up'\n1026| while direction is None and close <= current_price - brick_size:\n1027| bricks.append({\n1028| 'date': date, 'brick_index': brick_index,\n1029| 'open': current_price, 'high': current_price,\n1030| 'low': current_price - brick_size, 'close': current_price - brick_size,\n1031| 'direction': 'down',\n1032| })\n1033| current_price -= brick_size\n1034| brick_index += 1\n1035| direction = 'down'\n1036|\n1037| elif direction == 'up':\n1038| while close >= curren
... [10459 chars total, truncated]
2026-07-30 12:52
ASSISTANT (hermes, k3)
2026-07-30 12:52
TOOL (hermes, k3)
[Tool: read_file]
{"content": "523|@app.route('/api/active-contract/<underlying>')\n524|def active_contract(underlying):\n525| \"\"\"\n526| Return the currently active futures contract for an underlying.\n527| Uses the symtoken DB to find the nearest-expiry FUT contract.\n528| Response: {status, underlying, symbol, expiry, exchange}\n529| \"\"\"\n530| exchange = request.args.get('exchange', 'NFO')\n531| try:\n532| from five_min_filler import get_active_contract, get_contract_chain\n533| import datetime\n534| today = datetime.date.today()\n535| contract = get_active_contract(underlying.upper(), today, exchange)\n536| if contract:\n537| # Also get the full chain for the dropdown\n538| chain = get_contract_chain(underlying.upper(), exchange)\n539| contracts = [{'symbol': s, 'expiry': exp.isoformat()} for s, exp in chain[:3]]\n540| return jsonify({\n541| 'status': 'success',\n542| 'underlying': underlying.upper(),\n543| 'symbol': contract,\n544| 'expiry': None, # filled below\n545| 'contracts': contracts,\n546| 'exchange': exchange,\n547| })\n548| else:\n549| # No contract found — return a reasonable guess\n550| return jsonify({\n551| 'status': 'no_contract',\n552| 'underlying': underlying.upper(),\n553| 'symbol': None,\n554| 'contracts': [],\n555| 'exchange': exchange,\n556| 'message': f'No active futures contract found for {underlying}',\n557| }), 404\n558| except Exception as e:\n559| return jsonify({\n560| 'status': 'error',\n561| 'underlying': underlying.upper(),\n562| 'message': str(e),\n563| }), 500\n564|\n565|@app.route('/api/symbols', methods=['GET'])\n566|def list_symbols():\n567| \"\"\"List all tracked symbols from the central registry.\"\"\"\n568| try:\n569| with open(SYMBOLS_YAML) as f:\n570| data = yaml.safe_load(f)\n571| symbols = data.get(\"symbols\", [])\n572| return jsonify({\n573| \"status\": \"success\",\n574| \"count\": len(symbols),\n575| \"symbols\": symbols,\n576| })\n577| except Exception as e:\n578| return jsonify({\n579| \"status\": \"error\",\n580| \"message\": str(e),\n581| \"count\": 0,\n582| \"symbols\": [],\n583| }), 500\n584|\n585|\n586|@app.route('/api/symbols', methods=['DELETE'])\n587|def remove_symbol():\n588| \"\"\"Remove a symbol from the watchlist (sets active=false, keeps data).\"\"\"\n589| name = request.args.get('remove', '').upper()\n590| if not name:\n591| return jsonify({\"status\": \"error\", \"message\": \"Missing ?remove=SYMBOL\"}), 400\n592| try:\n593| with open(SY
... [9506 chars total, truncated]
2026-07-30 12:52
ASSISTANT (hermes, k3)
Here's everything the chart API (127.0.0.1:5050) currently serves, verified against the code in /var/www/openalgo-chart/api/app.py:
**Signal/indicator endpoints (the ones a bot would consume)**
1. `GET /api/renko-signal/<symbol>?exchange=...` — the main bot feed. Per poll returns:
- `price` (last 5-min close), `ts`
- `vidya`, `vidya_prev`, `vidya_rising` (bool)
- `sma` (2-brick SMA), `renko_dir` (up/down), `renko_close`
- `crossover` (BUY_CALL/BUY_PUT/null), `crossover_ts` — you already treat these two as dead; your state-change boolean replaces them
- `bricks` — last 20 bricks (date/direction/OHLC), `brick_count`
- Tunable via params: brick_size, period, smoothing (defaults come from symbols.yaml)
2. `GET /api/daily-vidya/<symbol>?period=20&smoothing=0.2` — the LIPI VIDYA line. Per-date rows from renko bricks on the 5-min DB. Last row = today's live value, second-to-last = the stable daily anchor. This is what GLV uses for its LONG/SHORT zone.
3. `GET /api/lipi-vidya-signal/<symbol>` — renko bricks + VIDYA on DAILY candles (fetches from broker, slower). Returns bricks, vidya_values, signal (BULLISH/BEARISH/NEUTRAL), crossover bool, last_brick_date. NOTE: this one hits the broker — it breaks the "local only, fast" rule; the other two don't.
**Data/registry endpoints**
4. `GET /api/<symbol>?interval=5m|15m|30m|1h|2h|D&days=N` — OHLCV from the local 5-min DB (1m falls back to broker)
5. `GET /api/symbols` — full watchlist from symbols.yaml (name, exchange, brick_size, vidya params, lot_size, db_name). POST adds, DELETE deactivates
6. `GET /api/active-contract/<underlying>?exchange=NFO` — active futures contract + next 3 in chain (the dropdown source for futures symbols)
7. `GET /api/trades/<symbol>` — trade history for chart markers
8. `GET /api/5min-fill/<symbol>` — on-demand DB backfill
9. `GET /api/health` — liveness
**What this means for your dropdown design:**
- Available "series" for a crossover dropdown today: `price`, `sma`, `vidya`, `renko_close`, `lipi` (live) and `anchor` (prev day) from daily-vidya. That's already 6 lines → pairs like SMA×VIDYA, PRICE×VIDYA, RENKO×VIDYA, PRICE×ANCHOR are all possible with zero new code — the bot just picks two fields from one or two loopback calls.
- Missing if you want them: per-poll anchor value in renko-signal (today it needs a second call to daily-vidya), and any stochastic/CCI-type series — those would be new chart-API fields, computed from the 5-min DB per your rule.
So the signal dropdown v1 can be built entirely from endpoints 1+2, both local, both sub-second. Want me to spec the exact field pairs for the dropdown options next, or move to the dashboard field layout?
[Tool: search_files]
{"total_count": 18, "matches_format": "path-grouped: each file path on its own line, followed by indented '<line>: <content>' rows for matches in that file", "matches_text": "/var/www/openalgo-chart/index.html\n 679: <button class=\"indicator-tab active\" data-indicator=\"rsi\">RSI</button>\n 680: <button class=\"indicator-tab\" data-indicator=\"macd\">MACD</button>\n 681: <button class=\"indicator-tab\" data-indicator=\"atr\">ATR</button>\n 746: let currentIndicator = 'rsi';\n 1078: indicatorSeries = indicatorChart.addLineSeries({ color: '#9c27b0', lineWidth: 2, title: 'RSI' });\n 1199: if (data.length < slow + signal) return { macd: [], signal: [], histogram: [] };\n 1214: if (macdLine.length < signal) return { macd: [], signal: [], histogram: [] };\n 1221: return { macd: macdLine, signal: signalLine, histogram };\n 1259: // Stochastic Oscillator: %K and %D\n 1663: // Clean up any MACD extra series before reloading\n 1729: // Remove any MACD extra series from previous render\n 1741: case 'rsi': data = calculateRSI(dataToUse); break;\n 1742: case 'macd': {\n 1744: if (macdResult.macd.length > 0) {\n 1746: indicatorSeries.applyOptions({ title: 'MACD Signal', color: '#ff9800' });\n 1747: const macdLine = indicatorChart.addLineSeries({ color: '#2196f3', lineWidth: 2, title: 'MACD' });\n 1748: macdLine.setData(macdResult.macd);\n 1756: case 'atr': data = calculateATR(currentChartType === 'renko' ? chartData : dataToUse); break;"}
2026-07-30 12:55
ASSISTANT (hermes, k3)
Checked the code — here's the honest picture:
**In the chart API backend (what a bot can actually read): only two indicators exist**
- VIDYA (period 20, smoothing 0.2, tunable)
- SMA (the 2-brick renko average in renko-signal)
That's it. Grep across the whole API: `compute_vidya_values`, `compute_daily_vidya_from_5min`, `compute_renko_vidya_signal` — nothing else.
**In the chart frontend (what you SEE on chart.openalgo): four more**
RSI, MACD, ATR, Stochastic — but they're computed in the browser (index.html, JavaScript) from the candle data after it loads. They exist only inside your open tab. No endpoint, no values a bot can fetch.
**This matters directly for your rule**
"What I see is what I get" is currently broken for those four: you can see RSI/MACD/ATR/Stoch on the chart, but a bot can't use them, and if a bot computed them itself it might not match the browser's math — exactly the GLV 300-point divergence bug from Jul 27.
**So for the signal dropdown, the correct move (and it fits your architecture):**
Add the indicators you want to the chart API backend — computed from the 5-min DB, served per poll like VIDYA is now. Then:
- chart frontend fetches them from the API instead of computing in JS (one source of truth, chart and bot always agree)
- bot's signal dropdown can offer them as first-class fields
Candidate list for the API, in order of effort: RSI(14) — trivial; ATR(14) — trivial; MACD(12,26,9) — trivial; Stochastic(14,3) — trivial; Supertrend — small; EMA(20/50) — trivial. All are ~20 lines each against the 5-min DB.
One question: which indicators do you actually want in the v1 dropdown? I'd say RSI + one trend line (EMA or Supertrend) is enough to start — the dropdown is extensible, no need to build all of them upfront.
2026-07-30 12:55
USER (hermes, k3)
tell me where i can see the chart - i mean the location on vps
The chart lives here:
- **Frontend (what you see in the browser)**: `/var/www/openalgo-chart/index.html` — a single static HTML file with all the JS in it (chart rendering, renko, RSI/MACD/ATR/Stochastic calculations). Nginx serves it as a static file at chart.openalgo.theworkpc.com (root `/var/www/openalgo-chart`).
- **Backend API**: `/var/www/openalgo-chart/api/app.py` — Flask app on 127.0.0.1:5050, nginx proxies the `/api/*` paths to it. This is where VIDYA, renko-signal, daily-vidya, and the 5-min DB reads live.
- **Data**: the per-symbol 5-min SQLite DBs under the api directory (dbs/ folder) that both the chart and bots read.
So when you add an indicator: backend math goes in `/var/www/openalgo-chart/api/app.py`, the line drawing goes in `/var/www/openalgo-chart/index.html`.
2026-07-30 12:57
USER (hermes, k3)
i asked bec i want to write the .md file for it going forward - and make seperate one for tradingbot
2026-07-30 13:27
ASSISTANT (hermes, k3)
Good move — the chart system currently has NO doc home (that's part of why its indicator knowledge lives only in my skill files). Proposed split, following your existing conventions:
**1. Chart system doc → lives with the code it describes**
`/var/www/openalgo-chart/CHART.md` (single file, or `mdocument/` if you want the 4-file split)
Contents: nginx + port 5050 layout, index.html vs api/app.py responsibilities, the endpoint list we just enumerated, which indicators exist WHERE (backend VIDYA/SMA vs browser RSI/MACD/ATR/Stoch), the 5-min DB pipeline (fillers, cron), and the standing rule — new indicators get computed in the API backend first, frontend fetches them.
**2. Trading bot dashboard doc → new system folder**
`/home/ubuntu/bots/tradebot/mdocument/` with your standard split:
- ARCHITECTURE.md — the discussion we just had: event-driven config (STOPPED/WAITING/RUNNING), signal dropdown = two chart-API series + state-change boolean, structured condition rows, broker dropdown, lazy row loading, chart API as sole indicator source
- WORKING.md, TROUBLESHOOTING.md, LOGS.md — filled as the system gets built
This keeps chart doc separate from tradebot doc — chart is shared infrastructure (bots, scanner, dashboard all consume it), tradebot is one consumer.
Want me to draft both now? CHART.md I can write fully from what we verified today. tradebot/ARCHITECTURE.md I'd write from our discussion as the design-of-record, marked "design — not yet built", so future sessions read the intent before touching code.
2026-07-30 13:27
USER (hermes, k3)
no ideally everything should be in central .md folder but properly lableled - do we have something that in home folder
Yes — you already have it: `/home/ubuntu/docs/` with an `INDEX.md` that labels every file by broker/topic in a table. Chart docs already live there (CHART-CACHE-5MIN-VIDYA.md, CHART-CACHE-OPEN-QUESTIONS.md).
So the two new files slot in as:
- `/home/ubuntu/docs/CHART-SYSTEM.md` — the chart app as it stands today: file locations (/var/www/openalgo-chart/, index.html vs api/app.py), endpoint list, indicator map (backend vs browser), 5-min DB pipeline, the "indicators computed in API backend first" rule
- `/home/ubuntu/docs/TRADEBOT-DESIGN.md` — the new dashboard design-of-record: event-driven states (STOPPED/WAITING/RUNNING), signal dropdown from chart-API series, structured condition rows, broker dropdown, lazy loading. Marked "design — not yet built"
Both get a row in INDEX.md.
One heads-up: the INDEX has drifted — its first rows point at shoonya.md, flattrade.md, kotak.md, openalgo.md, vps.md, strategy.md, which don't exist in the folder anymore (real files are named differently, e.g. shoonya_oauth_migration.md). When I add the two new rows I can fix those stale entries in the same pass.
Say the word and I'll write both docs + update the INDEX.
2026-07-30 13:30
USER (hermes, k3)
ok
2026-07-30 13:31
ASSISTANT (hermes, k3)
2026-07-30 13:33
TOOL (hermes, k3)
[Tool: write_file]
{"bytes_written": 5672, "dirs_created": true, "lint": {"status": "skipped", "message": "No linter for .md files"}, "resolved_path": "/home/ubuntu/docs/CHART-SYSTEM.md", "files_modified": ["/home/ubuntu/docs/CHART-SYSTEM.md"]}
2026-07-30 13:33
ASSISTANT (hermes, k3)
2026-07-30 13:34
TOOL (hermes, k3)
[Tool: write_file]
{"bytes_written": 4308, "dirs_created": true, "lint": {"status": "skipped", "message": "No linter for .md files"}, "resolved_path": "/home/ubuntu/docs/TRADEBOT-DESIGN.md", "files_modified": ["/home/ubuntu/docs/TRADEBOT-DESIGN.md"]}
2026-07-30 13:34
ASSISTANT (hermes, k3)
2026-07-30 13:34
TOOL (hermes, k3)
[Tool: write_file]
{"bytes_written": 1868, "dirs_created": true, "lint": {"status": "skipped", "message": "No linter for .md files"}, "resolved_path": "/home/ubuntu/docs/INDEX.md", "files_modified": ["/home/ubuntu/docs/INDEX.md"]}
2026-07-30 13:34
ASSISTANT (hermes, k3)
2026-07-30 13:34
TOOL (hermes, k3)
[Tool: memory]
{"success": true, "done": true, "target": "memory", "usage": "94% — 2,073/2,200 chars", "entry_count": 7, "message": "Entry added.", "note": "Write saved. This update is complete — do not repeat it."}
2026-07-30 13:34
ASSISTANT (hermes, k3)
Done. Three files:
1. `/home/ubuntu/docs/CHART-SYSTEM.md` — verified-today reference: file locations, all 9 endpoints with their fields, the indicator map (backend VIDYA/SMA vs browser-only RSI/MACD/ATR/Stoch), the 4 standing rules, and the consumer table.
2. `/home/ubuntu/docs/TRADEBOT-DESIGN.md` — our full discussion as design-of-record: HITL-as-control, the STOPPED/WAITING/RUNNING event model, row fields, signal dropdown from chart-API series, structured condition builder, broker dropdown + margin display, speed architecture, chart-API gaps, and 4 open questions to resolve before build.
3. `/home/ubuntu/docs/INDEX.md` — rewritten: both new files at the top, and the 6 stale rows (shoonya.md, flattrade.md, etc. pointing at non-existent files) removed.
The open questions at the bottom of TRADEBOT-DESIGN.md are the natural next discussion point whenever you're ready — config store location and the systemd model are the two that shape the build.
2026-07-30 13:35
USER (hermes, k3)
lets move to first bot - all the bots would be in tabs like filing system on top left to right - but before that - we need to compute all the indicators and have the api for it - what i see what i get
2026-07-30 13:46
ASSISTANT (hermes, k3)
Right — indicators first, so the API becomes the single source before any dashboard tab consumes them. Plan: read the browser JS math (RSI/MACD/ATR/Stoch) so the backend matches it exactly, add backend computations + one endpoint, then verify against live data.
2026-07-30 13:47
TOOL (hermes, k3)
[Tool: todo]
{"todos": [{"id": "1", "content": "Read browser JS indicator math in index.html (RSI/MACD/ATR/Stoch)", "status": "in_progress"}, {"id": "2", "content": "Implement matching backend compute functions in api/app.py", "status": "pending"}, {"id": "3", "content": "Add /api/indicators/<symbol> endpoint (latest values + series)", "status": "pending"}, {"id": "4", "content": "Verify against live 5-min DBs, cross-check vs JS math", "status": "pending"}, {"id": "5", "content": "Point frontend indicator tabs at the API (remove JS compute)", "status": "pending"}, {"id": "6", "content": "Update CHART-SYSTEM.md indicator map", "status": "pending"}], "summary": {"total": 6, "pending": 5, "in_progress": 1, "completed": 0, "cancelled": 0}}
2026-07-30 13:47
ASSISTANT (hermes, k3)
2026-07-30 13:48
TOOL (hermes, k3)
[Tool: terminal]
{"output": "1163: function calculateRSI(data, period = 14) {\n1179: function calculateEMA(data, period) {\n1198: function calculateMACD(data, fast = 12, slow = 26, signal = 9) {\n1224: function calculateATR(data, period = 14) {\n1258: function calculateStochastic(data, kPeriod = 14, dPeriod = 3) {", "exit_code": 0, "error": null}
2026-07-30 13:48
ASSISTANT (hermes, k3)
2026-07-30 13:48
TOOL (hermes, k3)
[Tool: read_file]
{"content": "1163| function calculateRSI(data, period = 14) {\n1164| const result = [], gains = [], losses = [];\n1165| for (let i = 1; i < data.length; i++) {\n1166| const change = data[i].close - data[i - 1].close;\n1167| gains.push(change > 0 ? change : 0);\n1168| losses.push(change < 0 ? Math.abs(change) : 0);\n1169| if (i >= period) {\n1170| const avgGain = gains.slice(-period).reduce((a, b) => a + b) / period;\n1171| const avgLoss = losses.slice(-period).reduce((a, b) => a + b) / period;\n1172| const rs = avgLoss === 0 ? 100 : avgGain / avgLoss;\n1173| result.push({ time: data[i].time, value: 100 - (100 / (1 + rs)) });\n1174| }\n1175| }\n1176| return result;\n1177| }\n1178|\n1179| function calculateEMA(data, period) {\n1180| if (data.length < period) return [];\n1181| const result = [];\n1182| const multiplier = 2 / (period + 1);\n1183| // Seed EMA with SMA of first `period` values\n1184| let sum = 0;\n1185| for (let i = 0; i < period; i++) {\n1186| sum += data[i].close || data[i].value;\n1187| }\n1188| let ema = sum / period;\n1189| result.push({ time: data[period - 1].time, value: ema });\n1190| for (let i = period; i < data.length; i++) {\n1191| const price = data[i].close || data[i].value;\n1192| ema = (price - ema) * multiplier + ema;\n1193| result.push({ time: data[i].time, value: ema });\n1194| }\n1195| return result;\n1196| }\n1197|\n1198| function calculateMACD(data, fast = 12, slow = 26, signal = 9) {\n1199| if (data.length < slow + signal) return { macd: [], signal: [], histogram: [] };\n1200| const emaFast = calculateEMA(data, fast);\n1201| const emaSlow = calculateEMA(data, slow);\n1202| const macdLine = [];\n1203| let fi = 0, si = 0;\n1204| while (si < emaSlow.length && fi < emaFast.length) {\n1205| if (emaFast[fi].time === emaSlow[si].time) {\n1206| macdLine.push({ time: emaSlow[si].time, value: emaFast[fi].value - emaSlow[si].value });\n1207| fi++; si++;\n1208| } else if (emaFast[fi].time < emaSlow[si].time) {\n1209| fi++;\n1210| } else {\n1211| si++;\n1212| }\n1213| }\n1214| if (macdLine.length < signal) return { macd: [], signal: [], histogram: [] };\n1215| const signalLine = calculateEMA(macdLine, signal);\n1216| const offset = macdLine.findIndex(p => p.time === signalLine[0].time);\n1217| const histogram = [];\n1218| for (let
... [7846 chars total, truncated]
2026-07-30 13:48
ASSISTANT (hermes, k3)
2026-07-30 13:49
TOOL (hermes, k3)
[Tool: read_file]
{"content": "780| except Exception as e:\n781| return jsonify({\n782| 'status': 'error',\n783| 'message': f'ensure_5min_db failed: {e}',\n784| }), 500\n785|\n786| return jsonify(result)\n787|\n788|\n789|\n790|def compute_daily_vidya_from_5min(symbol, exchange, period=20, smoothing=0.2):\n791| \"\"\"\n792| Compute per-day VIDYA values from the 5-min DB (the single source of truth).\n793| \n794| Reads 5min candles → builds renko bricks → computes VIDYA on bricks → \n795| outputs one VIDYA value per day (the VIDYA at the last brick of each day).\n796| \n797| This replaces the old approach of fetching daily candles from the broker.\n798| \"\"\"\n799| import math\n800| safe_name = re.sub(r'[^a-z0-9]', '', symbol.lower())\n801| db_5min = os.path.join(CHART_DBS_DIR, f\"{safe_name}_5min.db\")\n802| \n803| if not os.path.exists(db_5min):\n804| return []\n805| \n806| # Get brick_size from registry or symbols.yaml\n807| brick_size = 2\n808| try:\n809| with open(SYMBOLS_YAML) as f:\n810| import yaml as _yaml\n811| for s in _yaml.safe_load(f).get('symbols', []):\n812| if s['name'].upper() == symbol.upper():\n813| brick_size = s.get('brick_size', 2)\n814| period = s.get('vidya_period', period)\n815| smoothing = s.get('vidya_smooth', smoothing)\n816| break\n817| except Exception:\n818| pass\n819| \n820| # Read 5min closes\n821| conn = sqlite3.connect(db_5min, timeout=10)\n822| rows = conn.execute(\"SELECT ts, close FROM candles_5min ORDER BY ts\").fetchall()\n823| conn.close()\n824| \n825| if len(rows) < period + 5:\n826| return []\n827| \n828| closes = [float(r[1]) for r in rows]\n829| dates = [r[0] for r in rows]\n830| \n831| # Build renko bricks (same algorithm as bot and frontend)\n832| bricks = build_renko_bricks(closes, dates, brick_size=brick_size)\n833| if len(bricks) < period + 2:\n834| return []\n835| \n836| brick_closes = [b['close'] for b in bricks]\n837| brick_dates = [b['date'] for b in bricks]\n838| \n839| # Compute VIDYA on brick closes\n840| vidya_values = compute_vidya_values(brick_closes, period=period, smoothing=smoothing)\n841| \n842| # For each day, get the VIDYA value at the last brick of that day\n843| result = []\n844| seen_days = set()\n845| for i in range(len(bricks) - 1, -1, -1):\n846| day = brick_dates[i][:10]\n847| if day not in seen_days and vidya_values[i] is not None:\n848| seen_days.add(day)\n849| result.append({'date': day, 'value': round(vidya_values[i], 2)})\n850| \n851| result.reverse()\n852| return result\n853|\n854|\n855|", "total_lines": 1399, "file_size": 53740, "truncated": true, "hint": "Use offset=855 to continue reading (showing 780-854 of
... [3052 chars total, truncated]
2026-07-30 13:49
ASSISTANT (hermes, k3)
Now implementing in the backend. Inserting compute functions + endpoint after `compute_daily_vidya_from_5min`:
2026-07-30 13:52
TOOL (hermes, k3)
[Tool: patch]
{"success": false, "error": "Found 5 matches for old_string. Provide more context to make it unique, or use replace_all=True.", "_warning": "/var/www/openalgo-chart/api/app.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it."}
2026-07-30 13:52
ASSISTANT (hermes, k3)
2026-07-30 13:53
TOOL (hermes, k3)
[Tool: patch]
{"success": false, "error": "Failed to write changes: Failed to write file: /usr/bin/bash: line 3: /var/www/openalgo-chart/api/.hermes-tmp.3313720: Permission denied\n", "_warning": "/var/www/openalgo-chart/api/app.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it."}
2026-07-30 13:53
ASSISTANT (hermes, k3)
Directory is www-data-owned — patch tool can't write. I'll stage the block in /tmp and insert with sudo:
All four symbols/intervals work. NIFTY 404 is correct (it has no 5-min DB — not a tracked symbol; BANKNIFTY is the tracked index). Now the frontend — reading the indicator render code before touching it:
[Tool: patch]
{"success": true, "diff": "--- a//home/ubuntu/docs/CHART-SYSTEM.md\n+++ b//home/ubuntu/docs/CHART-SYSTEM.md\n@@ -31,6 +31,14 @@\n - Per-date rows computed from renko bricks on the 5-min DB\n - Last row = today's LIVE value (moves intraday); previous row = stable daily ANCHOR\n - This is the ecosystem definition of \"LIPI VIDYA\" (the gold line on the chart)\n+\n+**`GET /api/indicators/<symbol>?exchange=...`** — RSI / MACD / ATR / Stochastic\n+(added Jul 30, 2026). Backend mirrors of the chart frontend JS math, verified\n+equal to an independent calc to 2 decimals on all 7 values.\n+- Latest values: `rsi`, `atr`, `macd`, `macd_signal`, `macd_hist`, `stoch_k`, `stoch_d` + `price`, `ts`\n+- `series=1` adds full time series (epoch `time` like `/api/<symbol>`)\n+- Params: `interval` (5m default, aggregated from 5-min DB), `days` (5 default — matches chart view; MACD is EMA-seeded so window-dependent, bots must use same window as the chart they compare against), `rsi_period`, `atr_period`, `macd_fast/slow/signal`, `stoch_k/d`\n+- NOTE: RSI/ATR use SMA-of-window (Cutler style), not Wilder smoothing — matches the frontend JS exactly\n \n **`GET /api/lipi-vidya-signal/<symbol>?brick_size=&period=&broker=`** — renko + VIDYA on DAILY candles.\n - ⚠️ Fetches daily candles from the BROKER (slow, needs broker session). Breaks the local-only rule; avoid in new systems.\n", "files_modified": ["/home/ubuntu/docs/CHART-SYSTEM.md"], "lint": {"status": "skipped", "message": "No linter for .md files"}, "resolved_path": "/home/ubuntu/docs/CHART-SYSTEM.md"}
2026-07-30 14:01
TOOL (hermes, k3)
[Tool: patch]
{"success": true, "diff": "--- a//home/ubuntu/docs/CHART-SYSTEM.md\n+++ b//home/ubuntu/docs/CHART-SYSTEM.md\n@@ -60,10 +60,15 @@\n | SMA (2-brick renko) | API backend (app.py:~955) | ✅ `/api/renko-signal` field `sma` |\n | Renko bricks | API backend (`build_renko_bricks`, app.py:997) | ✅ bricks array + `renko_close`/`renko_dir` |\n | LIPI anchor | API backend (`compute_daily_vidya_from_5min`, app.py:790) | ✅ via `/api/daily-vidya` (2nd call) |\n-| RSI(14) | **Browser only** (index.html JS `calculateRSI`) | ❌ no endpoint |\n-| MACD(12,26,9) | **Browser only** (index.html JS) | ❌ no endpoint |\n-| ATR(14) | **Browser only** (index.html JS) | ❌ no endpoint |\n-| Stochastic(14,3) | **Browser only** (index.html JS) | ❌ no endpoint |\n+| RSI(14) | API backend (`/api/indicators`, Jul 30, 2026) | ✅ endpoint; chart frontend still computes its own JS copy (switch pending) |\n+| MACD(12,26,9) | API backend (`/api/indicators`) | ✅ endpoint; frontend JS copy pending switch |\n+| ATR(14) | API backend (`/api/indicators`) | ✅ endpoint; frontend JS copy pending switch |\n+| Stochastic(14,3) | API backend (`/api/indicators`) | ✅ endpoint; frontend JS copy pending switch |\n+\n+**Frontend switch caveat:** in RENKO mode the chart computes RSI/MACD/Stoch on renko\n+bricks; the API computes on candles only. Switching the frontend to the API changes\n+renko-mode indicator display — needs a user decision (candle-only, or add\n+`source=renko` to the API later).\n \n **Consequence (Jul 30, 2026):** \"what I see is what I get\" is currently BROKEN for\n RSI/MACD/ATR/Stoch — visible on the chart but unavailable to bots, and browser math\n", "files_modified": ["/home/ubuntu/docs/CHART-SYSTEM.md"], "lint": {"status": "skipped", "message": "No linter for .md files"}, "resolved_path": "/home/ubuntu/docs/CHART-SYSTEM.md"}
Indicator API is live and verified. Summary:
**Built** — `/api/indicators/<symbol>` on the chart API (chart-data-api restarted, all existing endpoints re-verified healthy):
1. One call returns latest values: `rsi`, `atr`, `macd`, `macd_signal`, `macd_hist`, `stoch_k`, `stoch_d` + price/ts. `series=1` adds full time series for chart plotting.
2. Math is an exact mirror of your browser JS (Cutler RSI/ATR via SMA-window, EMA seeded with SMA, Stoch with 50-on-flat rule) — verified against a fully independent calculation: all 7 values matched to 2 decimals on BANKNIFTY.
3. Computed from the local 5-min DB only, same default window the chart shows (5m, 5 days) — so the numbers ARE what you see. Tunable: interval, days, all periods.
4. Tested: BANKNIFTY (index), SBIN (equity), CRUDEOILM (MCX), 15m aggregation — all good. NIFTY correctly 404s (no DB, untracked symbol).
**One decision before I touch the frontend** (todo left pending deliberately): in RENKO mode your chart currently computes RSI/MACD/Stoch on renko bricks; the API computes on candles. If I point the indicator tabs at the API, the renko-mode indicator panel will show candle-based values instead of brick-based. Options: (a) API in candle mode only, keep JS in renko mode; (b) I add `source=renko` to the API so both modes are served from the backend; (c) always candles. My pick is (b) long-term, (a) as the safe first step.
**Unrelated observation while testing**: BANKNIFTY's 5-min DB last candle was 12:55 at ~14:00, while SBIN/CRUDEOILM were current (13:50). The BANKNIFTY filler looks ~1h behind — separate issue, flagging it before it bites a bot.
CHART-SYSTEM.md updated with the new endpoint + the renko caveat. Say the word on the frontend decision, or we move to the first bot tab.
2026-07-30 14:02
USER (hermes, k3)
can it not happen we calculate these points on both renko and bricks - ideally there are time frames which will change the values and story
2026-07-30 14:07
ASSISTANT (hermes, k3)
Exactly right — brick_size IS the renko "timeframe", and the story differs per source. Extending the endpoint: `source=candles|renko`, candles honor `interval`, renko honors `brick_size` (built from full history, same as the chart's renko). Doing the full-function replacement:
Both sources live. Updating the doc, then reporting:
2026-07-30 14:12
TOOL (hermes, k3)
[Tool: patch]
{"success": true, "diff": "--- a//home/ubuntu/docs/CHART-SYSTEM.md\n+++ b//home/ubuntu/docs/CHART-SYSTEM.md\n@@ -37,8 +37,9 @@\n equal to an independent calc to 2 decimals on all 7 values.\n - Latest values: `rsi`, `atr`, `macd`, `macd_signal`, `macd_hist`, `stoch_k`, `stoch_d` + `price`, `ts`\n - `series=1` adds full time series (epoch `time` like `/api/<symbol>`)\n-- Params: `interval` (5m default, aggregated from 5-min DB), `days` (5 default — matches chart view; MACD is EMA-seeded so window-dependent, bots must use same window as the chart they compare against), `rsi_period`, `atr_period`, `macd_fast/slow/signal`, `stoch_k/d`\n+- Params: `source=candles|renko` (candles: aggregated to `interval`, windowed by `days`; renko: bricks built from FULL history at `brick_size`, default from symbols.yaml), `interval` (5m default), `days` (5 default — matches chart view; MACD is EMA-seeded so window-dependent, bots must use same window as the chart they compare against), `limit` (series cap, default 2000), `rsi_period`, `atr_period`, `macd_fast/slow/signal`, `stoch_k/d`\n - NOTE: RSI/ATR use SMA-of-window (Cutler style), not Wilder smoothing — matches the frontend JS exactly\n+- RENKO QUIRKS (verified Jul 30, 2026): ATR on renko ≈ brick_size always (fixed-size bricks → constant TR); Stochastic saturates to 0/50/100 (quantized brick prices). RSI/MACD stay meaningful on renko. brick_size is the renko \"timeframe\" — different brick_size = different story, same as interval for candles\n \n **`GET /api/lipi-vidya-signal/<symbol>?brick_size=&period=&broker=`** — renko + VIDYA on DAILY candles.\n - ⚠️ Fetches daily candles from the BROKER (slow, needs broker session). Breaks the local-only rule; avoid in new systems.\n", "files_modified": ["/home/ubuntu/docs/CHART-SYSTEM.md"], "lint": {"status": "skipped", "message": "No linter for .md files"}, "resolved_path": "/home/ubuntu/docs/CHART-SYSTEM.md"}
2026-07-30 14:12
ASSISTANT (hermes, k3)
Done — one endpoint now serves both worlds, and your instinct about timeframes is built in:
1. `source=candles` (default) → `interval` is the timeframe (5m/15m/30m/1h/2h/D), `days` sets the window.
2. `source=renko` → `brick_size` is the timeframe (default from symbols.yaml, overridable). Bricks built from full history, same floor-anchored builder as the chart — so brick-identical to what you see.
Live proof the story changes (BANKNIFTY, same moment): candles-5m RSI 37 / renko RSI 50; and brick_size=20 gives RSI 78 vs brick_size=10 giving 50 — different brick size, different story, exactly like changing interval.
Two renko quirks the verification exposed (now documented in CHART-SYSTEM.md):
- ATR on renko is degenerate — always ≈ brick_size (fixed-size bricks → constant true range). Useless as a signal field on renko.
- Stochastic on renko saturates to 0/50/100 (quantized prices). Same caution.
- RSI and MACD stay meaningful on both sources.
This also unblocks the frontend switch properly: no more candle-vs-renko compromise — the chart's indicator tabs can fetch `source=candles` in candle mode and `source=renko` in renko mode, and the browser stops computing anything. "What I see is what I get" becomes literally true: one backend, one math, chart and bots read the same numbers.
Next step options: (a) I wire the frontend tabs to the API now, or (b) frontend stays as-is for today and we go straight to the first bot tab on the new dashboard, using this endpoint as its data source. Which one?
2026-07-30 14:13
USER (hermes, k3)
we will work on new trading bot today - but in next chat - will see you there
2026-07-30 14:14
ASSISTANT (hermes, k3)
2026-07-30 14:14
TOOL (hermes, k3)
[Tool: memory]
{"success": false, "error": "Replacement would put memory at 2,242/2,200 chars. Shorten the new content, or 'remove' other stale or less important entries to make room (see current_entries below), then retry — all in this turn.", "current_entries": ["DAILY SPOT FILL: Cron at 3:40 PM IST Mon-Fri. Script: /home/ubuntu/scripts/daily_spot_fill.py. NSE/NSE_INDEX only. Missing days only.", "OPTIONS ORDER RULES: NRML only. LIMIT only (not MARKET). 3% buffer. SL-M rejected — use SL (stop-loss limit) with trigger+price.", "TURSO CHAT DB: Turso Cloud (Mumbai). Wrapper: ~/.gemini/turso_chat_db.py. Viewer: https://chat.openalgo.theworkpc.com (port 5200), IST timestamps, chat-only msg counts. Cleanup: sync filter + cleanup_noise_sessions.py --delete + daily cron ec57783d53f7 3:15AM IST. Docs: /home/ubuntu/docs/database_maintenance.md. Don't delete 2-msg 'CRITICAL: TEXT ONLY' sessions (real compacted summaries).", "OPEN: /api/status slow (serial 41-bot, needs broker caching), dashboard hangs on shutdown. Crudeoilm orders REJECTED by Flattrade (margin issue). 13 equity renko bots stopped Jul 23 not restarted. Dashboard (port 5100) can hang after 20+ hrs uptime — kill + restart, ensure `flask` installed (`pip3 install flask`). Systemd service `renko-vidya-dashboard` preferred over manual start. VIDYA scanner depends on both dashboard (prices) and chart API (VIDYA values).", "FIXED Jul 28: (1) Crossover detection = in-memory self._last_sma_above boolean, state change between 60s polls. Chart API crossover/crossover_ts fields DEAD. (2) Order verification = verify_order_status() polls /api/v1/orderbook after every order. All 4 bots patched. Flattrade 'prd':'M' = NRML (Margin), NOT MIS. Master doc: /home/ubuntu/bots/HOW_TO_MAKE_A_BOT.md.", "OMNIROUTE: v3.8.48, systemd svc 'omniroute', loopback-only port 20128, admin login on. Combo 'hermes' (kimi-k2.7-code, k2.6, big-pickle fallback). Hermes custom provider 'omniroute' wired + verified; minted ork_ endpoint key in Hermes env. DeepSeek NOT added (user denied). Default model still kimi-coding/k3. Skill: llm-gateway-integration.", "CENTRAL DOCS: All .md docs live in /home/ubuntu/docs/ with INDEX.md labeling each (topic + contents). New docs go there, not beside code. Chart system doc: CHART-SYSTEM.md. Tradebot design: TRADEBOT-DESIGN.md (design-only, not built)."], "usage": "2,073/2,200"}
2026-07-30 14:14
ASSISTANT (hermes, k3)
2026-07-30 14:16
TOOL (hermes, k3)
[Tool: memory]
{"success": true, "done": true, "target": "memory", "usage": "97% — 2,147/2,200 chars", "entry_count": 7, "message": "Entry replaced.", "note": "Write saved. This update is complete — do not repeat it."}
2026-07-30 14:16
ASSISTANT (hermes, k3)
See you there. Everything the next chat needs is already on disk:
- `/home/ubuntu/docs/TRADEBOT-DESIGN.md` — the full design (states, dropdowns, condition builder, speed architecture, open questions)
- `/home/ubuntu/docs/CHART-SYSTEM.md` — endpoint inventory incl. the new `/api/indicators` (candles + renko), verified live today
- Memory carries the pointers, so the next session starts with context, not from zero
Pending when you return: frontend switch to the API, then bot tab #1.