TqSdk Trading and Data
shinnytech/tqsdk-python
Answers TqSdk Python questions on market data, accounts, orders, margin trials, simulation and backtesting, using the library's own docs and examples.
Translates a Python backtest strategy or a plain description into Pine Script v6, TDX formulas and MQL5 code for TradingView, Chinese broker terminals and MetaTrader 5.
Install Strategy Export to Pine Script and More
$ npx skills add HKUDS/Vibe-Trading --skill pine-script -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading pine-script --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/pine-script .claude/skills/pine-script && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pine-script" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/pine-script into .claude/skills/pine-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pine-script", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/pine-scriptType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/Vibe-Trading --skill pine-script -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading pine-script --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/pine-script .agents/skills/pine-script && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pine-script" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/pine-script into .agents/skills/pine-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pine-script", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill pine-script -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading pine-script --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/pine-script .cursor/skills/pine-script && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pine-script" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/pine-script into .cursor/skills/pine-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pine-script", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/Vibe-Trading.git --path agent/src/skills/pine-script--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/Vibe-Trading --skill pine-script -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading pine-script --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/pine-script .gemini/skills/pine-script && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pine-script" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/pine-script into .gemini/skills/pine-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pine-script", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/Vibe-Trading pine-scriptInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/Vibe-Trading --skill pine-script -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/pine-script .github/skills/pine-script && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pine-script" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/pine-script into .github/skills/pine-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pine-script", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill pine-script -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading pine-script --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/pine-script .opencode/skills/pine-script && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pine-script" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/pine-script into .opencode/skills/pine-script/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pine-script", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
pine-script- GitHub stars
- 35k
- Token cost
- ~3.8k tokens
- SKILL.md length
- 987 words
- Files
- 1
- Skills in repo
- 89
- Repo updated
- First seen
- Licence
- MIT
At a glance
Translates a Python backtest strategy or a plain description into Pine Script v6, TDX formulas and MQL5 code for TradingView, Chinese broker terminals and MetaTrader 5.
- Works in 3 steps: TradingView — Pine Script v6 → 通达信 / 同花顺 / 东方财富 — TDX Formula → MetaTrader 5 — MQL5
- Moving a backtested Python strategy onto TradingView
- SKILL.md covers Overview, Workflow: Export from Backtest, Workflow: Generate from… and Output Format, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
The skill always produces code for every supported platform in one file, artifacts/strategy.pine: Pine Script v6 for TradingView, TDX formula code for 通达信, 同花顺 and 东方财富, and MQL5 for MetaTrader 5. When exporting from a backtest, the agent reads config.json for instruments, dates and parameters and code/signal_engine.py for the strategy logic, translates the logic for each platform and saves the combined output.
A second workflow writes indicator or strategy code directly from your description. The output file lays the platforms out in sections with paste-in instructions for each, and the agent returns the code with usage notes per platform. A mapping table converts pandas and numpy idioms, such as rolling means, EMA, RSI, MACD, rolling standard deviation and highs and lows, into their Pine Script v6 equivalents.
When your agent uses it
- Moving a backtested Python strategy onto TradingView
- Getting TDX formula code for 通达信 or 同花顺 from a strategy
- Producing an MQL5 version of a strategy for MetaTrader 5
- Writing a Pine Script indicator from a plain description
Example prompts
- “Export my backtest strategy to Pine Script, TDX formula and MQL5.”
- “Write a TradingView indicator that plots an EMA crossover from this description.”
- “Translate the rolling mean and RSI in my signal_engine.py into Pine Script v6.”
- “How do I paste the generated code into the Pine Editor?”
Requirements
- A backtest run directory with config.json and code/signal_engine.py when exporting
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 7f6908b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are pinescript and mql5).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Strategy Export to Pine Script and More loads about 3.8k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 987 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from HKUDS/Vibe-Trading at commit 7f6908b, republished under its MIT licence (© HKUDS). 987 words, ~3,750 tokens.
Download SKILL.mdSave it as
.claude/skills/pine-script/SKILL.md (or your agent's skills folder).- name
- pine-script
- description
- Export backtest strategies to indicator/strategy code for major trading platforms — TradingView, 通达信, 同花顺, 东方财富, MT5.
- category
- tool
Overview
This skill exports a Vibe-Trading strategy to all major trading platforms in one go.
Output file: artifacts/strategy.pine (inside the run directory).
Supported platforms (always generate ALL):
| Group | Platforms | Language |
|---|---|---|
| International Charts | TradingView | Pine Script v6 |
| China Equities | 通达信 / 同花顺 / 东方财富 | TDX Formula |
| Forex / CFD | MetaTrader 5 | MQL5 |
Workflow: Export from Backtest
load_skill("pine-script")— read this guideread_file("config.json")— understand instruments, dates, parametersread_file("code/signal_engine.py")— understand the Python strategy logic- Translate the strategy to ALL platforms using the references below
write_file("artifacts/strategy.pine")— save the combined output- Return the code in a code block with usage instructions per platform
Workflow: Generate from Description
load_skill("pine-script")— read this guide- Write indicator/strategy code for ALL platforms based on the user's description
write_file("artifacts/strategy.pine")— save the combined output- Return the code with usage instructions
Output Format
The output file uses this structure (all platforms in one file):
================================================================================
TRADINGVIEW — Pine Script v6
Paste into: Pine Editor → New blank indicator → Add to Chart
================================================================================
[Pine Script code here]
================================================================================
通达信 / 同花顺 / 东方财富 (TDX Formula)
Paste into: 功能 → 公式管理器 → 新建指标公式
================================================================================
[TDX formula code here]
================================================================================
MT5 — MQL5
Save as: .mq5 file → MetaEditor → Compile → Navigator → Attach to Chart
================================================================================
[MQL5 code here]
Platform Reference
1. TradingView — Pine Script v6
Template
// This strategy was generated by Vibe-Trading
// Paste into TradingView Pine Editor → Add to Chart
//@version=6
strategy("Strategy Name", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1, initial_capital=1000000)
// ============================================================================
// INPUTS
// ============================================================================
// [Group inputs logically with input.int(), input.float(), input.string()]
// ============================================================================
// CALCULATIONS
// ============================================================================
// [Core indicator calculations]
// ============================================================================
// CONDITIONS
// ============================================================================
longCondition = false
shortCondition = false
exitLongCondition = false
exitShortCondition = false
// ============================================================================
// STRATEGY EXECUTION
// ============================================================================
if longCondition
strategy.entry("Long", strategy.long)
if shortCondition
strategy.entry("Short", strategy.short)
if exitLongCondition
strategy.close("Long")
if exitShortCondition
strategy.close("Short")
// ============================================================================
// PLOTS
// ============================================================================
// [Visual overlays: moving averages, bands, signals]
// ============================================================================
// ALERTS
// ============================================================================
alertcondition(longCondition, title="Long Signal", message="Long entry signal triggered")
alertcondition(shortCondition, title="Short Signal", message="Short entry signal triggered")Python → Pine Script Mapping
| Python (pandas/numpy) | Pine Script v6 |
|---|---|
df['close'].rolling(n).mean() | ta.sma(close, n) |
df['close'].ewm(span=n).mean() | ta.ema(close, n) |
ta.RSI(df['close'], n) or manual RSI | ta.rsi(close, n) |
ta.MACD(df['close']) | [macdLine, signalLine, hist] = ta.macd(close, 12, 26, 9) |
df['close'].rolling(n).std() | ta.stdev(close, n) |
df['high'].rolling(n).max() | ta.highest(high, n) |
df['low'].rolling(n).min() | ta.lowest(low, n) |
df['close'].pct_change(fill_method=None) | (close - close[1]) / close[1] |
df['volume'].rolling(n).mean() | ta.sma(volume, n) |
df['close'] > df['close'].shift(1) | close > close[1] |
| Bollinger Bands | [mid, upper, lower] = ta.bb(close, length, mult) |
| ATR | ta.atr(length) |
| ADX | ta.adx(high, low, close, length) |
| Stochastic | ta.stoch(close, high, low, length, smoothK, smoothD) |
| CCI | ta.cci(close, length) |
| Williams %R | ta.wpr(length) |
| MFI | ta.mfi(close, length) |
| OBV | ta.obv |
| VWAP | ta.vwap |
Data References
| Python | Pine Script v6 |
|---|---|
df['open'] | open |
df['high'] | high |
df['low'] | low |
df['close'] | close |
df['volume'] | volume |
df.index (datetime) | time |
df['close'].shift(n) | close[n] |
Signal Logic
| Python Pattern | Pine Script v6 |
|---|---|
(fast > slow) & (fast.shift(1) <= slow.shift(1)) | ta.crossover(fast, slow) |
(fast < slow) & (fast.shift(1) >= slow.shift(1)) | ta.crossunder(fast, slow) |
signal.where(condition, 0) | condition ? value : 0 |
np.where(cond, val_true, val_false) | cond ? val_true : val_false |
signal.clip(-1, 1) | math.max(-1, math.min(1, signal)) |
signal.fillna(0) | nz(signal, 0) |
pd.isna(value) | na(value) |
Position Sizing
| Python Pattern | Pine Script v6 |
|---|---|
| Equal weight 1/N | strategy.percent_of_equity with default_qty_value = 100/N |
| Full position on signal=1.0 | default_qty_type=strategy.percent_of_equity, default_qty_value=100 |
| Half position on signal=0.5 | Use strategy.entry(..., qty=strategy.equity * 0.5 / close) |
| Stop-loss | strategy.exit("Exit", stop=entryPrice * (1 - stopPct)) |
| Take-profit | strategy.exit("Exit", limit=entryPrice * (1 + tpPct)) |
Syntax Rules (Critical)
- Version declaration must be first line:
//@version=6 - Ternary operators MUST stay on one line:
text = condition ? "a" : "b" - Line continuation: continuation lines must be indented MORE than the starting line
- No plot() in local scope (if/for/function) — use
plot(condition ? value : na) - var: persistent state across bars; regular assignment recalculates each bar
- Avoid repainting: use
barstate.isconfirmed,lookahead=barmerge.lookahead_off - Limits: max 500 bars lookback, 500 plot calls, 64 entry/exit per bar, 40 request.security()
2. 通达信 / 同花顺 / 东方财富 — TDX Formula
These platforms share 95%+ identical formula syntax. Write ONE version that works on all three.
Template
{Vibe-Trading 策略导出}
{策略名称: XXX}
{——————— 参数 ———————}
N:=14;
M:=6;
{——————— 指标计算 ———————}
RSI_VAL:=RSI(CLOSE,N);
MA_FAST:=MA(CLOSE,5);
MA_SLOW:=MA(CLOSE,20);
{——————— 买卖信号 ———————}
BUY:CROSS(MA_FAST,MA_SLOW) AND RSI_VAL<40,COLORRED;
SELL:CROSS(MA_SLOW,MA_FAST) AND RSI_VAL>60,COLORGREEN;
DRAWTEXT(BUY,LOW,'B'),COLORYELLOW;
DRAWTEXT(SELL,HIGH,'S'),COLORWHITE;Python → TDX Mapping
| Python | TDX Formula |
|---|---|
df['close'].rolling(n).mean() | MA(CLOSE,N) |
df['close'].ewm(span=n).mean() | EMA(CLOSE,N) |
| RSI | RSI(CLOSE,N) (returns 0-100) |
| MACD | MACD.DIF, MACD.DEA, MACD.MACD or manual: DIF:=EMA(CLOSE,12)-EMA(CLOSE,26); DEA:=EMA(DIF,9); MACD:=(DIF-DEA)*2; |
| Bollinger Bands | BOLL(N,M) → BOLL.UPPER, BOLL.MID, BOLL.LOWER or manual |
| ATR | ATR:=MA(MAX(MAX(HIGH-LOW,ABS(HIGH-REF(CLOSE,1))),ABS(LOW-REF(CLOSE,1))),N); |
df['close'].shift(n) | REF(CLOSE,N) |
df['high'].rolling(n).max() | HHV(HIGH,N) |
df['low'].rolling(n).min() | LLV(LOW,N) |
| crossover(fast, slow) | CROSS(FAST,SLOW) |
| crossunder(fast, slow) | CROSS(SLOW,FAST) |
df['volume'] | VOL |
abs(x) | ABS(X) |
max(a,b) | MAX(A,B) |
min(a,b) | MIN(A,B) |
| conditional | IF(COND,A,B) |
df['close'].pct_change(fill_method=None) | (CLOSE-REF(CLOSE,1))/REF(CLOSE,1) |
| count true in N bars | COUNT(COND,N) |
| sum over N bars | SUM(X,N) |
| std over N bars | STD(CLOSE,N) |
| slope / linear regression | SLOPE(CLOSE,N) |
Syntax Rules
- Assignment:
:=for intermediate variables,:for output (plotted) lines - Comments:
{comment}— curly braces, NOT// - No semicolons optional: each statement ends with
; - Colors:
COLORRED,COLORGREEN,COLORYELLOW,COLORWHITE,COLORBLUE,COLORCYAN,COLORMAGENTA - Line styles:
LINETHICK2,POINTDOT,STICK,VOLSTICK - Draw text:
DRAWTEXT(COND, PRICE, 'TEXT'), COLOR; - Draw icon:
DRAWICON(COND, PRICE, ICON_ID); - All function/variable names UPPERCASE
- No loops / no arrays — everything is vectorized bar-by-bar
- Max formula length: ~10,000 characters per formula
Show full SKILL.md (393 more words)Show less
Platform Differences
| Feature | 通达信 | 同花顺 | 东方财富 |
|---|---|---|---|
| MACD built-in | MACD(12,26,9) | MACD(12,26,9) | same |
| Stochastic | KDJ(N,M1,M2) | same | same |
| Custom color | COLOR+RRGGBB | COLOR+RRGGBB | limited |
| Strategy backtest | 条件选股 only | 条件选股 only | 条件选股 only |
For maximum compatibility, avoid platform-specific extensions. Stick to core functions.
3. MetaTrader 5 — MQL5
Template (Custom Indicator)
//+------------------------------------------------------------------+
//| Generated by Vibe-Trading |
//+------------------------------------------------------------------+
#property copyright "Vibe-Trading"
#property indicator_chart_window // or indicator_separate_window
#property indicator_buffers 2
#property indicator_plots 2
#property indicator_color1 clrDodgerBlue
#property indicator_color2 clrRed
input int InpPeriod = 14; // Period
double BuyBuffer[];
double SellBuffer[];
int OnInit()
{
SetIndexBuffer(0, BuyBuffer, INDICATOR_DATA);
SetIndexBuffer(1, SellBuffer, INDICATOR_DATA);
PlotIndexSetInteger(0, PLOT_ARROW, 233); // up arrow
PlotIndexSetInteger(1, PLOT_ARROW, 234); // down arrow
PlotIndexSetInteger(0, PLOT_DRAW_TYPE, DRAW_ARROW);
PlotIndexSetInteger(1, PLOT_DRAW_TYPE, DRAW_ARROW);
return(INIT_SUCCEEDED);
}
int OnCalculate(const int rates_total,
const int prev_calculated,
const datetime &time[],
const double &open[],
const double &high[],
const double &low[],
const double &close[],
const long &tick_volume[],
const long &volume[],
const int &spread[])
{
int start = MathMax(prev_calculated - 1, InpPeriod);
for(int i = start; i < rates_total; i++)
{
BuyBuffer[i] = EMPTY_VALUE;
SellBuffer[i] = EMPTY_VALUE;
// === YOUR LOGIC HERE ===
// Example: if(buyCondition) BuyBuffer[i] = low[i];
// if(sellCondition) SellBuffer[i] = high[i];
}
return(rates_total);
}Python → MQL5 Mapping
| Python | MQL5 |
|---|---|
df['close'].rolling(n).mean() | iMA(_Symbol, PERIOD_CURRENT, n, 0, MODE_SMA, PRICE_CLOSE) or manual loop |
| EMA | iMA(..., MODE_EMA, ...) |
| RSI | iRSI(_Symbol, PERIOD_CURRENT, n, PRICE_CLOSE) |
| MACD | iMACD(_Symbol, PERIOD_CURRENT, 12, 26, 9, PRICE_CLOSE) |
| Bollinger | iBands(_Symbol, PERIOD_CURRENT, n, 0, mult, PRICE_CLOSE) |
| ATR | iATR(_Symbol, PERIOD_CURRENT, n) |
| Stochastic | iStochastic(_Symbol, PERIOD_CURRENT, K, D, slowing, MODE_SMA, STO_LOWHIGH) |
df['close'].shift(n) | close[i-n] (in OnCalculate loop) |
| crossover | buf[i] > ref[i] && buf[i-1] <= ref[i-1] |
Syntax Rules
- Indicator handles: call
iMA()etc. inOnInit(), useCopyBuffer()to get values - Buffer direction: MQL5 buffers are indexed 0=oldest by default; use
ArraySetAsSeries()to reverse - EMPTY_VALUE: use for "no signal" on arrow plots
- Indicator vs EA: generate indicator (
.mq5), not Expert Advisor, to match "indicator export" purpose - Handle-based API: MQL5 uses handles — create in
OnInit, read inOnCalculate
Symbol Format Mapping
When generating code, map Vibe-Trading instrument codes appropriately:
| Vibe-Trading | TradingView | 通达信/同花顺 | MT5 |
|---|---|---|---|
000001.SZ | SZSE:000001 | 000001 | N/A |
600519.SH | SSE:600519 | 600519 | N/A |
AAPL.US | NASDAQ:AAPL | N/A | AAPL |
BTC-USDT | BINANCE:BTCUSDT | N/A | BTCUSD |
Note: Most indicator code is instrument-agnostic — the user applies it to whatever chart they're viewing. Include a comment noting the original instrument for reference only.
Limitations & Transparency
When a Python strategy uses features that can't be directly translated, clearly note it:
| Python Feature | Platform Limitation |
|---|---|
| ML models (sklearn, etc.) | None — flag as "manual implementation required" |
| Custom pandas operations | TDX — limited to built-in functions |
| Multi-timeframe logic | TDX — no native MTF; Pine/MQL5 — supported |
| Dynamic position sizing | TDX — indicator only, no position control |
| External data (API calls) | All — indicators run offline on chart data only |
Always add a comment block at the top listing any features that could not be translated.
Quality Checklist
Before outputting:
- ALL 3 platform sections are included (Pine Script, TDX, MQL5)
- Each platform section has proper header with usage instructions
- Pine Script:
//@version=6is first line, no plot() in local scope, ternary on single lines - TDX: all uppercase functions,
:=for intermediate,:for output,{comments} - MQL5: proper handle-based API,
EMPTY_VALUEfor no-signal - Entry/exit conditions match the Python signal logic semantically across ALL platforms
- Untranslatable features are clearly documented at the top of each section
- Comment header notes the original Vibe-Trading run_id and instrument
© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in agent/src/skills/pine-script of HKUDS/Vibe-Trading.
Open the folder on GitHubat commit 7f6908b
Compare with similar skills
Strategy Export to Pine Script and More next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Strategy Export to Pine Script and More this skillHKUDS/Vibe-Trading | 35k | — | ~3.8k | Automated safety check: Pass | MIT | |
| TqSdk Trading and Datashinnytech/tqsdk-python | 5.1k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| CCXT Crypto Exchange Library2025Emma/vibe-coding-cn | 23k | 2 repos | ~4.4k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 318 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| WorldQuant BRAIN Alpha ResearchQuantML-Research/wq-alpha-research | 405 | — | ~4.9k | Automated safety check: Pass | None | |
| Kalshi Traderyanfrigo/kalshi-ai-trading-bot | 612 | — | ~3.4k | Automated safety check: Pass | MIT |
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Questions about Strategy Export to Pine Script and More
What does Strategy Export to Pine Script and More do?
Translates a Python backtest strategy or a plain description into Pine Script v6, TDX formulas and MQL5 code for TradingView, Chinese broker terminals and MetaTrader 5. pine: Pine Script v6 for TradingView, TDX formula code for 通达信, 同花顺 and 东方财富, and MQL5 for MetaTrader 5.py for the strategy logic, translates the logic for each platform and saves the combined output.
When should I use Strategy Export to Pine Script and More?
Strategy Export to Pine Script and More fits situations like: moving a backtested Python strategy onto TradingView; getting TDX formula code for 通达信 or 同花顺 from a strategy; producing an MQL5 version of a strategy for MetaTrader 5; writing a Pine Script indicator from a plain description.
How do I install Strategy Export to Pine Script and More in Claude Code?
Run `npx skills add HKUDS/Vibe-Trading --skill pine-script -a claude-code`. Or copy the skill folder (agent/src/skills/pine-script in HKUDS/Vibe-Trading) into .claude/skills/pine-script in your project. Claude Code loads it when a task matches its description.
How do I install Strategy Export to Pine Script and More in Codex?
Run `npx skills add HKUDS/Vibe-Trading --skill pine-script -a codex`. Or copy the skill folder (agent/src/skills/pine-script in HKUDS/Vibe-Trading) into .agents/skills/pine-script in your project. Codex loads it when a task matches its description.
Can I use Strategy Export to Pine Script and More in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill pine-script -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pine-script, .gemini/skills/pine-script, .github/skills/pine-script and .opencode/skills/pine-script in your project.
What does Strategy Export to Pine Script and More need to run?
SKILL.md names no scripts, command-line tools or credentials: Strategy Export to Pine Script and More is instructions for the agent only. Our summary lists: A backtest run directory with config.json and code/signal_engine.py when exporting.
Does Strategy Export to Pine Script and More access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Strategy Export to Pine Script and More safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Strategy Export to Pine Script and More use?
Strategy Export to Pine Script and More is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Strategy Export to Pine Script and More use?
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Strategy Export to Pine Script and More?
Skills that share tags, products or a category with Strategy Export to Pine Script and More: TqSdk Trading and Data (shinnytech/tqsdk-python, 5.1k stars), CCXT Crypto Exchange Library (2025Emma/vibe-coding-cn, 23k stars), Tushare Data (zillionare/zillionare, 318 stars) and WorldQuant BRAIN Alpha Research (QuantML-Research/wq-alpha-research, 405 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Strategy Export to Pine Script and More?
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 34,884 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 6, 2026.
Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.